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b/28_10_2025/25/basicsr_options.yaml @@ -0,0 +1,144 @@ +# GENERATE TIME: Tue Oct 28 20:17:16 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '25' +name: '25' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 diff --git a/28_10_2025/25/train_25_20251028_201716.log b/28_10_2025/25/train_25_20251028_201716.log new file mode 100644 index 0000000000000000000000000000000000000000..df0deb638dc7d01bd30440f3c6b883dc5d7838db --- /dev/null +++ b/28_10_2025/25/train_25_20251028_201716.log @@ -0,0 +1,172 @@ +2025-10-28 20:17:16,165 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:17:16,165 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 25 + name: 25 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/visualization + ] + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-28 20:17:17,900 INFO: Use wandb logger with id=f3u6rrya; project=Swin2SR-Latent-SR. diff --git a/28_10_2025/25_archived_20251028_201716/basicsr_options.yaml b/28_10_2025/25_archived_20251028_201716/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..92449f690f90ac81c052f292b45fd0c893ec2239 --- /dev/null +++ b/28_10_2025/25_archived_20251028_201716/basicsr_options.yaml @@ -0,0 +1,144 @@ +# GENERATE TIME: Tue Oct 28 20:17:00 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 0.1 + reduction: mean + space: latent + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '25' +name: '25' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 diff --git a/28_10_2025/25_archived_20251028_201716/train_25_20251028_201700.log b/28_10_2025/25_archived_20251028_201716/train_25_20251028_201700.log new file mode 100644 index 0000000000000000000000000000000000000000..1c21e7432db0336bbee5db14b4debe144ca4916b --- /dev/null +++ b/28_10_2025/25_archived_20251028_201716/train_25_20251028_201700.log @@ -0,0 +1,171 @@ +2025-10-28 20:17:00,088 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:17:00,089 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 0.1 + reduction: mean + space: latent + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 25 + name: 25 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/25/visualization + ] + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + diff --git a/28_10_2025/26/basicsr_options.yaml b/28_10_2025/26/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b012d23f3a265165603204a2e876edbbd825f43d --- /dev/null +++ b/28_10_2025/26/basicsr_options.yaml @@ -0,0 +1,144 @@ +# GENERATE TIME: Tue Oct 28 20:23:01 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '26' +name: '26' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 diff --git a/28_10_2025/26/train_26_20251028_202301.log b/28_10_2025/26/train_26_20251028_202301.log new file mode 100644 index 0000000000000000000000000000000000000000..040d367fbaf032c9661dae8ee74111638977e10d --- /dev/null +++ b/28_10_2025/26/train_26_20251028_202301.log @@ -0,0 +1,1549 @@ +2025-10-28 20:23:01,054 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:23:01,054 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 26 + name: 26 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/visualization + ] + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-28 20:23:02,691 INFO: Use wandb logger with id=kduqi3s9; project=Swin2SR-Latent-SR. +2025-10-28 20:23:12,185 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-28 20:23:12,187 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 512 + World size (gpu number): 2 + Steps per epoch: 1201 + Configured training steps: 125000 + Approximate epochs to cover: 105. +2025-10-28 20:23:12,191 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-28 20:23:12,191 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-28 20:23:12,307 INFO: Network [Swin2SR] is created. +2025-10-28 20:23:13,378 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,267,844 +2025-10-28 20:23:13,379 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-28 20:23:13,383 INFO: Use EMA with decay: 0.999 +2025-10-28 20:23:13,576 INFO: Network [Swin2SR] is created. +2025-10-28 20:23:13,633 INFO: Loss [L1Loss] is created. +2025-10-28 20:23:13,634 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-28 20:23:13,637 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-28 20:23:13,638 INFO: Model [SwinIRLatentModel] is created. +2025-10-28 20:47:50,434 INFO: Start training from epoch: 0, step: 0 +2025-10-28 20:49:31,593 INFO: [26..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 22:24:55, time (data): 1.012 (0.158)] l1_latent_opt: 1.0778e+00 +2025-10-28 20:50:35,600 INFO: [26..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 22:17:36, time (data): 0.826 (0.079)] l1_latent_opt: 1.0141e+00 +2025-10-28 20:51:39,690 INFO: [26..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 22:15:01, time (data): 0.641 (0.000)] l1_latent_opt: 9.7910e-01 +2025-10-28 20:52:43,797 INFO: [26..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 22:13:17, time (data): 0.641 (0.000)] l1_latent_opt: 9.5917e-01 +2025-10-28 20:53:47,824 INFO: [26..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 22:11:29, time (data): 0.640 (0.000)] l1_latent_opt: 9.4835e-01 +2025-10-28 20:54:51,820 INFO: [26..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 22:09:49, time (data): 0.640 (0.000)] l1_latent_opt: 9.4435e-01 +2025-10-28 20:55:55,892 INFO: [26..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 22:08:33, time (data): 0.641 (0.000)] l1_latent_opt: 9.3533e-01 +2025-10-28 20:56:59,919 INFO: [26..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 22:07:13, time (data): 0.640 (0.000)] l1_latent_opt: 9.3253e-01 +2025-10-28 20:58:03,909 INFO: [26..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 22:05:51, time (data): 0.640 (0.000)] l1_latent_opt: 9.3127e-01 +2025-10-28 20:59:07,991 INFO: [26..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 22:04:44, time (data): 0.640 (0.000)] l1_latent_opt: 9.2844e-01 +2025-10-28 21:00:12,030 INFO: [26..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 22:03:33, time (data): 0.640 (0.000)] l1_latent_opt: 9.2232e-01 +2025-10-28 21:01:15,925 INFO: [26..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 22:02:08, time (data): 0.640 (0.000)] l1_latent_opt: 9.2271e-01 +2025-10-28 21:02:27,221 INFO: [26..][epoch: 1, step: 1,300, lr:(2.000e-04,)] [eta: 22:12:31, time (data): 0.640 (0.000)] l1_latent_opt: 9.2157e-01 +2025-10-28 21:03:31,319 INFO: [26..][epoch: 1, step: 1,400, lr:(2.000e-04,)] [eta: 22:10:39, time (data): 0.640 (0.000)] l1_latent_opt: 9.2006e-01 +2025-10-28 21:04:35,313 INFO: [26..][epoch: 1, step: 1,500, lr:(2.000e-04,)] [eta: 22:08:45, time (data): 0.640 (0.000)] l1_latent_opt: 9.1447e-01 +2025-10-28 21:05:39,278 INFO: [26..][epoch: 1, step: 1,600, lr:(2.000e-04,)] [eta: 22:06:55, time (data): 0.640 (0.000)] l1_latent_opt: 9.1404e-01 +2025-10-28 21:06:43,305 INFO: [26..][epoch: 1, step: 1,700, lr:(2.000e-04,)] [eta: 22:05:14, time (data): 0.640 (0.000)] l1_latent_opt: 9.0943e-01 +2025-10-28 21:07:47,349 INFO: [26..][epoch: 1, step: 1,800, lr:(2.000e-04,)] [eta: 22:03:39, time (data): 0.640 (0.000)] l1_latent_opt: 9.1128e-01 +2025-10-28 21:08:51,535 INFO: [26..][epoch: 1, step: 1,900, lr:(2.000e-04,)] [eta: 22:02:17, time (data): 0.642 (0.000)] l1_latent_opt: 9.1123e-01 +2025-10-28 21:09:55,597 INFO: [26..][epoch: 1, step: 2,000, lr:(2.000e-04,)] [eta: 22:00:49, time (data): 0.641 (0.000)] l1_latent_opt: 9.0694e-01 +2025-10-28 21:10:59,682 INFO: [26..][epoch: 1, step: 2,100, lr:(2.000e-04,)] [eta: 21:59:24, time (data): 0.640 (0.000)] l1_latent_opt: 9.0946e-01 +2025-10-28 21:12:03,781 INFO: [26..][epoch: 1, step: 2,200, lr:(2.000e-04,)] [eta: 21:58:02, time (data): 0.641 (0.000)] l1_latent_opt: 9.0275e-01 +2025-10-28 21:13:08,022 INFO: [26..][epoch: 1, step: 2,300, lr:(2.000e-04,)] [eta: 21:56:49, time (data): 0.642 (0.000)] l1_latent_opt: 9.0574e-01 +2025-10-28 21:14:12,116 INFO: [26..][epoch: 1, step: 2,400, lr:(2.000e-04,)] [eta: 21:55:29, time (data): 0.641 (0.000)] l1_latent_opt: 9.0478e-01 +2025-10-28 21:15:22,160 INFO: [26..][epoch: 2, step: 2,500, lr:(2.000e-04,)] [eta: 21:59:02, time (data): 0.640 (0.000)] l1_latent_opt: 9.0263e-01 +2025-10-28 21:16:26,134 INFO: [26..][epoch: 2, step: 2,600, lr:(2.000e-04,)] [eta: 21:57:28, time (data): 0.640 (0.000)] l1_latent_opt: 9.0682e-01 +2025-10-28 21:17:30,133 INFO: [26..][epoch: 2, step: 2,700, lr:(2.000e-04,)] [eta: 21:55:57, time (data): 0.640 (0.000)] l1_latent_opt: 9.0134e-01 +2025-10-28 21:18:34,145 INFO: [26..][epoch: 2, step: 2,800, lr:(2.000e-04,)] [eta: 21:54:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.9915e-01 +2025-10-28 21:19:38,153 INFO: [26..][epoch: 2, step: 2,900, lr:(2.000e-04,)] [eta: 21:53:01, time (data): 0.640 (0.000)] l1_latent_opt: 8.9792e-01 +2025-10-28 21:20:42,310 INFO: [26..][epoch: 2, step: 3,000, lr:(2.000e-04,)] [eta: 21:51:42, time (data): 0.641 (0.000)] l1_latent_opt: 8.9792e-01 +2025-10-28 21:21:46,323 INFO: [26..][epoch: 2, step: 3,100, lr:(2.000e-04,)] [eta: 21:50:18, time (data): 0.640 (0.000)] l1_latent_opt: 8.9833e-01 +2025-10-28 21:22:50,317 INFO: [26..][epoch: 2, step: 3,200, lr:(2.000e-04,)] [eta: 21:48:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.9666e-01 +2025-10-28 21:23:54,310 INFO: [26..][epoch: 2, step: 3,300, lr:(2.000e-04,)] [eta: 21:47:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.9269e-01 +2025-10-28 21:24:58,282 INFO: [26..][epoch: 2, step: 3,400, lr:(2.000e-04,)] [eta: 21:46:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.9323e-01 +2025-10-28 21:26:02,250 INFO: [26..][epoch: 2, step: 3,500, lr:(2.000e-04,)] [eta: 21:44:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.9205e-01 +2025-10-28 21:27:06,154 INFO: [26..][epoch: 2, step: 3,600, lr:(2.000e-04,)] [eta: 21:43:26, time (data): 0.639 (0.000)] l1_latent_opt: 8.9105e-01 +2025-10-28 21:28:39,860 INFO: [26..][epoch: 3, step: 3,700, lr:(2.000e-04,)] [eta: 21:58:22, time (data): 0.726 (0.000)] l1_latent_opt: 8.8804e-01 +2025-10-28 21:29:43,834 INFO: [26..][epoch: 3, step: 3,800, lr:(2.000e-04,)] [eta: 21:56:37, time (data): 0.679 (0.000)] l1_latent_opt: 8.8692e-01 +2025-10-28 21:30:47,796 INFO: [26..][epoch: 3, step: 3,900, lr:(2.000e-04,)] [eta: 21:54:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.9120e-01 +2025-10-28 21:31:59,152 INFO: [26..][epoch: 3, step: 4,000, lr:(2.000e-04,)] [eta: 21:56:57, time (data): 0.680 (0.000)] l1_latent_opt: 8.8602e-01 +2025-10-28 21:33:03,111 INFO: [26..][epoch: 3, step: 4,100, lr:(2.000e-04,)] [eta: 21:55:12, time (data): 0.640 (0.000)] l1_latent_opt: 8.8495e-01 +2025-10-28 21:34:07,090 INFO: [26..][epoch: 3, step: 4,200, lr:(2.000e-04,)] [eta: 21:53:29, time (data): 0.640 (0.000)] l1_latent_opt: 8.8635e-01 +2025-10-28 21:35:11,076 INFO: [26..][epoch: 3, step: 4,300, lr:(2.000e-04,)] [eta: 21:51:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.8220e-01 +2025-10-28 21:36:15,038 INFO: [26..][epoch: 3, step: 4,400, lr:(2.000e-04,)] [eta: 21:50:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.8415e-01 +2025-10-28 21:37:18,992 INFO: [26..][epoch: 3, step: 4,500, lr:(2.000e-04,)] [eta: 21:48:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.8389e-01 +2025-10-28 21:38:22,944 INFO: [26..][epoch: 3, step: 4,600, lr:(2.000e-04,)] [eta: 21:46:55, time (data): 0.640 (0.000)] l1_latent_opt: 8.8203e-01 +2025-10-28 21:39:26,927 INFO: [26..][epoch: 3, step: 4,700, lr:(2.000e-04,)] [eta: 21:45:20, time (data): 0.640 (0.000)] l1_latent_opt: 8.8215e-01 +2025-10-28 21:40:30,849 INFO: [26..][epoch: 3, step: 4,800, lr:(2.000e-04,)] [eta: 21:43:45, time (data): 0.640 (0.000)] l1_latent_opt: 8.7904e-01 +2025-10-28 21:41:42,677 INFO: [26..][epoch: 4, step: 4,900, lr:(2.000e-04,)] [eta: 21:45:26, time (data): 0.641 (0.000)] l1_latent_opt: 8.7885e-01 +2025-10-28 21:42:46,701 INFO: [26..][epoch: 4, step: 5,000, lr:(2.000e-04,)] [eta: 21:43:52, time (data): 0.641 (0.000)] l1_latent_opt: 8.7860e-01 +2025-10-28 21:42:46,702 INFO: Saving models and training states. +2025-10-28 21:42:53,726 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-28 21:45:19,896 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9320 Best: 0.9320 @ 5000 iter + # l2_latent: 1.4107 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 24.7392 Best: 24.7392 @ 5000 iter + +2025-10-28 21:46:23,847 INFO: [26..][epoch: 4, step: 5,100, lr:(2.000e-04,)] [eta: 22:42:18, time (data): 0.640 (0.000)] l1_latent_opt: 8.8043e-01 +2025-10-28 21:47:27,963 INFO: [26..][epoch: 4, step: 5,200, lr:(2.000e-04,)] [eta: 22:39:37, time (data): 0.640 (0.000)] l1_latent_opt: 8.7719e-01 +2025-10-28 21:48:32,798 INFO: [26..][epoch: 4, step: 5,300, lr:(2.000e-04,)] [eta: 22:37:15, time (data): 0.648 (0.000)] l1_latent_opt: 8.7957e-01 +2025-10-28 21:49:37,298 INFO: [26..][epoch: 4, step: 5,400, lr:(2.000e-04,)] [eta: 22:34:49, time (data): 0.646 (0.000)] l1_latent_opt: 8.7927e-01 +2025-10-28 21:50:41,841 INFO: [26..][epoch: 4, step: 5,500, lr:(2.000e-04,)] [eta: 22:32:26, time (data): 0.646 (0.000)] l1_latent_opt: 8.7818e-01 +2025-10-28 21:51:46,215 INFO: [26..][epoch: 4, step: 5,600, lr:(2.000e-04,)] [eta: 22:30:03, time (data): 0.645 (0.000)] l1_latent_opt: 8.7632e-01 +2025-10-28 21:52:50,853 INFO: [26..][epoch: 4, step: 5,700, lr:(2.000e-04,)] [eta: 22:27:48, time (data): 0.647 (0.000)] l1_latent_opt: 8.7497e-01 +2025-10-28 21:53:55,236 INFO: [26..][epoch: 4, step: 5,800, lr:(2.000e-04,)] [eta: 22:25:31, time (data): 0.645 (0.000)] l1_latent_opt: 8.7721e-01 +2025-10-28 21:54:59,873 INFO: [26..][epoch: 4, step: 5,900, lr:(2.000e-04,)] [eta: 22:23:20, time (data): 0.647 (0.000)] l1_latent_opt: 8.7552e-01 +2025-10-28 21:56:03,858 INFO: [26..][epoch: 4, step: 6,000, lr:(2.000e-04,)] [eta: 22:21:00, time (data): 0.643 (0.000)] l1_latent_opt: 8.7484e-01 +2025-10-28 21:57:18,335 INFO: [26..][epoch: 5, step: 6,100, lr:(2.000e-04,)] [eta: 22:22:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.7079e-01 +2025-10-28 21:58:22,365 INFO: [26..][epoch: 5, step: 6,200, lr:(2.000e-04,)] [eta: 22:19:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.7116e-01 +2025-10-28 21:59:26,466 INFO: [26..][epoch: 5, step: 6,300, lr:(2.000e-04,)] [eta: 22:17:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.7507e-01 +2025-10-28 22:00:30,550 INFO: [26..][epoch: 5, step: 6,400, lr:(2.000e-04,)] [eta: 22:15:19, time (data): 0.641 (0.000)] l1_latent_opt: 8.7129e-01 +2025-10-28 22:01:34,663 INFO: [26..][epoch: 5, step: 6,500, lr:(2.000e-04,)] [eta: 22:13:09, time (data): 0.641 (0.000)] l1_latent_opt: 8.7543e-01 +2025-10-28 22:02:38,774 INFO: [26..][epoch: 5, step: 6,600, lr:(2.000e-04,)] [eta: 22:11:01, time (data): 0.641 (0.000)] l1_latent_opt: 8.7191e-01 +2025-10-28 22:03:42,804 INFO: [26..][epoch: 5, step: 6,700, lr:(2.000e-04,)] [eta: 22:08:53, time (data): 0.640 (0.000)] l1_latent_opt: 8.7060e-01 +2025-10-28 22:04:46,838 INFO: [26..][epoch: 5, step: 6,800, lr:(2.000e-04,)] [eta: 22:06:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.6903e-01 +2025-10-28 22:05:50,937 INFO: [26..][epoch: 5, step: 6,900, lr:(2.000e-04,)] [eta: 22:04:44, time (data): 0.641 (0.000)] l1_latent_opt: 8.6975e-01 +2025-10-28 22:06:55,018 INFO: [26..][epoch: 5, step: 7,000, lr:(2.000e-04,)] [eta: 22:02:42, time (data): 0.641 (0.000)] l1_latent_opt: 8.7035e-01 +2025-10-28 22:07:59,126 INFO: [26..][epoch: 5, step: 7,100, lr:(2.000e-04,)] [eta: 22:00:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.6782e-01 +2025-10-28 22:09:03,061 INFO: [26..][epoch: 5, step: 7,200, lr:(2.000e-04,)] [eta: 21:58:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.6702e-01 +2025-10-28 22:10:13,478 INFO: [26..][epoch: 6, step: 7,300, lr:(2.000e-04,)] [eta: 21:58:27, time (data): 0.641 (0.000)] l1_latent_opt: 8.7044e-01 +2025-10-28 22:11:17,464 INFO: [26..][epoch: 6, step: 7,400, lr:(2.000e-04,)] [eta: 21:56:29, time (data): 0.640 (0.000)] l1_latent_opt: 8.6898e-01 +2025-10-28 22:12:21,477 INFO: [26..][epoch: 6, step: 7,500, lr:(2.000e-04,)] [eta: 21:54:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.6687e-01 +2025-10-28 22:13:25,507 INFO: [26..][epoch: 6, step: 7,600, lr:(2.000e-04,)] [eta: 21:52:37, time (data): 0.640 (0.000)] l1_latent_opt: 8.6858e-01 +2025-10-28 22:14:29,524 INFO: [26..][epoch: 6, step: 7,700, lr:(2.000e-04,)] [eta: 21:50:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.6769e-01 +2025-10-28 22:15:33,503 INFO: [26..][epoch: 6, step: 7,800, lr:(2.000e-04,)] [eta: 21:48:50, time (data): 0.640 (0.000)] l1_latent_opt: 8.6770e-01 +2025-10-28 22:16:37,492 INFO: [26..][epoch: 6, step: 7,900, lr:(2.000e-04,)] [eta: 21:46:59, time (data): 0.640 (0.000)] l1_latent_opt: 8.6636e-01 +2025-10-28 22:17:41,483 INFO: [26..][epoch: 6, step: 8,000, lr:(2.000e-04,)] [eta: 21:45:08, time (data): 0.640 (0.000)] l1_latent_opt: 8.6540e-01 +2025-10-28 22:18:45,499 INFO: [26..][epoch: 6, step: 8,100, lr:(2.000e-04,)] [eta: 21:43:19, time (data): 0.640 (0.000)] l1_latent_opt: 8.6819e-01 +2025-10-28 22:19:49,480 INFO: [26..][epoch: 6, step: 8,200, lr:(2.000e-04,)] [eta: 21:41:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.6580e-01 +2025-10-28 22:20:53,460 INFO: [26..][epoch: 6, step: 8,300, lr:(2.000e-04,)] [eta: 21:39:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.6494e-01 +2025-10-28 22:21:57,375 INFO: [26..][epoch: 6, step: 8,400, lr:(2.000e-04,)] [eta: 21:37:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.6521e-01 +2025-10-28 22:23:07,361 INFO: [26..][epoch: 7, step: 8,500, lr:(2.000e-04,)] [eta: 21:37:33, time (data): 0.640 (0.000)] l1_latent_opt: 8.6500e-01 +2025-10-28 22:24:11,367 INFO: [26..][epoch: 7, step: 8,600, lr:(2.000e-04,)] [eta: 21:35:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.6442e-01 +2025-10-28 22:25:15,353 INFO: [26..][epoch: 7, step: 8,700, lr:(2.000e-04,)] [eta: 21:34:04, time (data): 0.640 (0.000)] l1_latent_opt: 8.6530e-01 +2025-10-28 22:26:19,402 INFO: [26..][epoch: 7, step: 8,800, lr:(2.000e-04,)] [eta: 21:32:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.6781e-01 +2025-10-28 22:27:23,412 INFO: [26..][epoch: 7, step: 8,900, lr:(2.000e-04,)] [eta: 21:30:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.6537e-01 +2025-10-28 22:28:35,898 INFO: [26..][epoch: 7, step: 9,000, lr:(2.000e-04,)] [eta: 21:30:47, time (data): 0.694 (0.000)] l1_latent_opt: 8.6256e-01 +2025-10-28 22:29:39,878 INFO: [26..][epoch: 7, step: 9,100, lr:(2.000e-04,)] [eta: 21:29:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.6782e-01 +2025-10-28 22:30:43,918 INFO: [26..][epoch: 7, step: 9,200, lr:(2.000e-04,)] [eta: 21:27:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.6451e-01 +2025-10-28 22:31:47,992 INFO: [26..][epoch: 7, step: 9,300, lr:(2.000e-04,)] [eta: 21:25:44, time (data): 0.640 (0.000)] l1_latent_opt: 8.6219e-01 +2025-10-28 22:32:52,044 INFO: [26..][epoch: 7, step: 9,400, lr:(2.000e-04,)] [eta: 21:24:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.6553e-01 +2025-10-28 22:33:56,101 INFO: [26..][epoch: 7, step: 9,500, lr:(2.000e-04,)] [eta: 21:22:27, time (data): 0.640 (0.000)] l1_latent_opt: 8.6246e-01 +2025-10-28 22:35:00,033 INFO: [26..][epoch: 7, step: 9,600, lr:(2.000e-04,)] [eta: 21:20:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.6558e-01 +2025-10-28 22:36:09,182 INFO: [26..][epoch: 8, step: 9,700, lr:(2.000e-04,)] [eta: 21:20:12, time (data): 0.641 (0.000)] l1_latent_opt: 8.5965e-01 +2025-10-28 22:37:13,173 INFO: [26..][epoch: 8, step: 9,800, lr:(2.000e-04,)] [eta: 21:18:35, time (data): 0.640 (0.000)] l1_latent_opt: 8.7004e-01 +2025-10-28 22:38:17,150 INFO: [26..][epoch: 8, step: 9,900, lr:(2.000e-04,)] [eta: 21:16:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.6511e-01 +2025-10-28 22:39:21,100 INFO: [26..][epoch: 8, step: 10,000, lr:(2.000e-04,)] [eta: 21:15:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.6091e-01 +2025-10-28 22:39:21,101 INFO: Saving models and training states. +2025-10-28 22:43:45,379 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9078 Best: 0.9320 @ 5000 iter + # l2_latent: 1.3277 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 25.9699 Best: 25.9699 @ 10000 iter + +2025-10-28 22:44:49,391 INFO: [26..][epoch: 8, step: 10,100, lr:(2.000e-04,)] [eta: 22:03:52, time (data): 0.641 (0.000)] l1_latent_opt: 8.6110e-01 +2025-10-28 22:45:53,415 INFO: [26..][epoch: 8, step: 10,200, lr:(2.000e-04,)] [eta: 22:01:45, time (data): 0.641 (0.000)] l1_latent_opt: 8.6131e-01 +2025-10-28 22:46:57,508 INFO: [26..][epoch: 8, step: 10,300, lr:(2.000e-04,)] [eta: 21:59:41, time (data): 0.642 (0.000)] l1_latent_opt: 8.5873e-01 +2025-10-28 22:48:01,526 INFO: [26..][epoch: 8, step: 10,400, lr:(2.000e-04,)] [eta: 21:57:36, time (data): 0.641 (0.000)] l1_latent_opt: 8.6144e-01 +2025-10-28 22:49:05,629 INFO: [26..][epoch: 8, step: 10,500, lr:(2.000e-04,)] [eta: 21:55:34, time (data): 0.641 (0.000)] l1_latent_opt: 8.6113e-01 +2025-10-28 22:50:09,768 INFO: [26..][epoch: 8, step: 10,600, lr:(2.000e-04,)] [eta: 21:53:33, time (data): 0.641 (0.000)] l1_latent_opt: 8.6043e-01 +2025-10-28 22:51:14,018 INFO: [26..][epoch: 8, step: 10,700, lr:(2.000e-04,)] [eta: 21:51:35, time (data): 0.643 (0.000)] l1_latent_opt: 8.6021e-01 +2025-10-28 22:52:18,394 INFO: [26..][epoch: 8, step: 10,800, lr:(2.000e-04,)] [eta: 21:49:39, time (data): 0.644 (0.000)] l1_latent_opt: 8.6317e-01 +2025-10-28 22:53:27,190 INFO: [26..][epoch: 9, step: 10,900, lr:(2.000e-04,)] [eta: 21:48:30, time (data): 0.640 (0.000)] l1_latent_opt: 8.6007e-01 +2025-10-28 22:54:31,194 INFO: [26..][epoch: 9, step: 11,000, lr:(2.000e-04,)] [eta: 21:46:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.5990e-01 +2025-10-28 22:55:35,260 INFO: [26..][epoch: 9, step: 11,100, lr:(2.000e-04,)] [eta: 21:44:34, time (data): 0.641 (0.000)] l1_latent_opt: 8.5881e-01 +2025-10-28 22:56:39,302 INFO: [26..][epoch: 9, step: 11,200, lr:(2.000e-04,)] [eta: 21:42:38, time (data): 0.641 (0.000)] l1_latent_opt: 8.5934e-01 +2025-10-28 22:57:43,312 INFO: [26..][epoch: 9, step: 11,300, lr:(2.000e-04,)] [eta: 21:40:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.5952e-01 +2025-10-28 22:58:47,282 INFO: [26..][epoch: 9, step: 11,400, lr:(2.000e-04,)] [eta: 21:38:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.6148e-01 +2025-10-28 22:59:51,228 INFO: [26..][epoch: 9, step: 11,500, lr:(2.000e-04,)] [eta: 21:36:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.5915e-01 +2025-10-28 23:00:55,204 INFO: [26..][epoch: 9, step: 11,600, lr:(2.000e-04,)] [eta: 21:34:59, time (data): 0.640 (0.000)] l1_latent_opt: 8.5905e-01 +2025-10-28 23:01:59,194 INFO: [26..][epoch: 9, step: 11,700, lr:(2.000e-04,)] [eta: 21:33:07, time (data): 0.640 (0.000)] l1_latent_opt: 8.5929e-01 +2025-10-28 23:03:03,305 INFO: [26..][epoch: 9, step: 11,800, lr:(2.000e-04,)] [eta: 21:31:16, time (data): 0.641 (0.000)] l1_latent_opt: 8.5957e-01 +2025-10-28 23:04:07,289 INFO: [26..][epoch: 9, step: 11,900, lr:(2.000e-04,)] [eta: 21:29:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.5902e-01 +2025-10-28 23:05:11,215 INFO: [26..][epoch: 9, step: 12,000, lr:(2.000e-04,)] [eta: 21:27:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.5725e-01 +2025-10-28 23:06:19,713 INFO: [26..][epoch: 10, step: 12,100, lr:(2.000e-04,)] [eta: 21:26:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.5710e-01 +2025-10-28 23:07:23,966 INFO: [26..][epoch: 10, step: 12,200, lr:(2.000e-04,)] [eta: 21:24:41, time (data): 0.642 (0.000)] l1_latent_opt: 8.5999e-01 +2025-10-28 23:08:28,000 INFO: [26..][epoch: 10, step: 12,300, lr:(2.000e-04,)] [eta: 21:22:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.5727e-01 +2025-10-28 23:09:32,074 INFO: [26..][epoch: 10, step: 12,400, lr:(2.000e-04,)] [eta: 21:21:07, time (data): 0.641 (0.000)] l1_latent_opt: 8.5627e-01 +2025-10-28 23:10:36,124 INFO: [26..][epoch: 10, step: 12,500, lr:(2.000e-04,)] [eta: 21:19:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.6082e-01 +2025-10-28 23:11:40,130 INFO: [26..][epoch: 10, step: 12,600, lr:(2.000e-04,)] [eta: 21:17:35, time (data): 0.640 (0.000)] l1_latent_opt: 8.5734e-01 +2025-10-28 23:12:44,365 INFO: [26..][epoch: 10, step: 12,700, lr:(2.000e-04,)] [eta: 21:15:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.5616e-01 +2025-10-28 23:13:48,423 INFO: [26..][epoch: 10, step: 12,800, lr:(2.000e-04,)] [eta: 21:14:07, time (data): 0.640 (0.000)] l1_latent_opt: 8.5620e-01 +2025-10-28 23:14:52,376 INFO: [26..][epoch: 10, step: 12,900, lr:(2.000e-04,)] [eta: 21:12:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.5789e-01 +2025-10-28 23:15:56,333 INFO: [26..][epoch: 10, step: 13,000, lr:(2.000e-04,)] [eta: 21:10:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.5400e-01 +2025-10-28 23:17:00,351 INFO: [26..][epoch: 10, step: 13,100, lr:(2.000e-04,)] [eta: 21:08:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.5858e-01 +2025-10-28 23:18:04,267 INFO: [26..][epoch: 10, step: 13,200, lr:(2.000e-04,)] [eta: 21:07:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.5817e-01 +2025-10-28 23:19:13,230 INFO: [26..][epoch: 11, step: 13,300, lr:(2.000e-04,)] [eta: 21:06:13, time (data): 0.640 (0.000)] l1_latent_opt: 8.5621e-01 +2025-10-28 23:20:17,216 INFO: [26..][epoch: 11, step: 13,400, lr:(2.000e-04,)] [eta: 21:04:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.5496e-01 +2025-10-28 23:21:21,314 INFO: [26..][epoch: 11, step: 13,500, lr:(2.000e-04,)] [eta: 21:02:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.5549e-01 +2025-10-28 23:22:25,286 INFO: [26..][epoch: 11, step: 13,600, lr:(2.000e-04,)] [eta: 21:01:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.5714e-01 +2025-10-28 23:23:29,289 INFO: [26..][epoch: 11, step: 13,700, lr:(2.000e-04,)] [eta: 20:59:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.5689e-01 +2025-10-28 23:24:33,439 INFO: [26..][epoch: 11, step: 13,800, lr:(2.000e-04,)] [eta: 20:57:53, time (data): 0.641 (0.000)] l1_latent_opt: 8.5598e-01 +2025-10-28 23:25:37,431 INFO: [26..][epoch: 11, step: 13,900, lr:(2.000e-04,)] [eta: 20:56:14, time (data): 0.640 (0.000)] l1_latent_opt: 8.5472e-01 +2025-10-28 23:26:41,460 INFO: [26..][epoch: 11, step: 14,000, lr:(2.000e-04,)] [eta: 20:54:36, time (data): 0.640 (0.000)] l1_latent_opt: 8.5646e-01 +2025-10-28 23:27:45,515 INFO: [26..][epoch: 11, step: 14,100, lr:(2.000e-04,)] [eta: 20:52:59, time (data): 0.641 (0.000)] l1_latent_opt: 8.5936e-01 +2025-10-28 23:28:49,510 INFO: [26..][epoch: 11, step: 14,200, lr:(2.000e-04,)] [eta: 20:51:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.5587e-01 +2025-10-28 23:29:53,509 INFO: [26..][epoch: 11, step: 14,300, lr:(2.000e-04,)] [eta: 20:49:44, time (data): 0.640 (0.000)] l1_latent_opt: 8.5338e-01 +2025-10-28 23:30:57,424 INFO: [26..][epoch: 11, step: 14,400, lr:(2.000e-04,)] [eta: 20:48:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.5389e-01 +2025-10-28 23:32:06,385 INFO: [26..][epoch: 12, step: 14,500, lr:(2.000e-04,)] [eta: 20:47:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.5391e-01 +2025-10-28 23:33:10,362 INFO: [26..][epoch: 12, step: 14,600, lr:(2.000e-04,)] [eta: 20:45:33, time (data): 0.640 (0.000)] l1_latent_opt: 8.5299e-01 +2025-10-28 23:34:14,320 INFO: [26..][epoch: 12, step: 14,700, lr:(2.000e-04,)] [eta: 20:43:57, time (data): 0.640 (0.000)] l1_latent_opt: 8.5531e-01 +2025-10-28 23:35:18,308 INFO: [26..][epoch: 12, step: 14,800, lr:(2.000e-04,)] [eta: 20:42:22, time (data): 0.640 (0.000)] l1_latent_opt: 8.5516e-01 +2025-10-28 23:36:22,272 INFO: [26..][epoch: 12, step: 14,900, lr:(2.000e-04,)] [eta: 20:40:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.5530e-01 +2025-10-28 23:37:26,287 INFO: [26..][epoch: 12, step: 15,000, lr:(2.000e-04,)] [eta: 20:39:13, time (data): 0.640 (0.000)] l1_latent_opt: 8.5565e-01 +2025-10-28 23:37:26,288 INFO: Saving models and training states. +2025-10-28 23:39:37,644 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9035 Best: 0.9320 @ 5000 iter + # l2_latent: 1.3117 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.2561 Best: 26.2561 @ 15000 iter + +2025-10-28 23:40:41,977 INFO: [26..][epoch: 12, step: 15,100, lr:(2.000e-04,)] [eta: 20:53:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.5388e-01 +2025-10-28 23:41:46,057 INFO: [26..][epoch: 12, step: 15,200, lr:(2.000e-04,)] [eta: 20:51:58, time (data): 0.641 (0.000)] l1_latent_opt: 8.5316e-01 +2025-10-28 23:42:50,131 INFO: [26..][epoch: 12, step: 15,300, lr:(2.000e-04,)] [eta: 20:50:19, time (data): 0.640 (0.000)] l1_latent_opt: 8.5348e-01 +2025-10-28 23:43:54,173 INFO: [26..][epoch: 12, step: 15,400, lr:(2.000e-04,)] [eta: 20:48:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.5371e-01 +2025-10-28 23:44:58,253 INFO: [26..][epoch: 12, step: 15,500, lr:(2.000e-04,)] [eta: 20:47:01, time (data): 0.640 (0.000)] l1_latent_opt: 8.5100e-01 +2025-10-28 23:46:02,255 INFO: [26..][epoch: 12, step: 15,600, lr:(2.000e-04,)] [eta: 20:45:22, time (data): 0.640 (0.000)] l1_latent_opt: 8.5662e-01 +2025-10-28 23:47:10,861 INFO: [26..][epoch: 13, step: 15,700, lr:(2.000e-04,)] [eta: 20:44:16, time (data): 0.641 (0.000)] l1_latent_opt: 8.5414e-01 +2025-10-28 23:48:14,985 INFO: [26..][epoch: 13, step: 15,800, lr:(2.000e-04,)] [eta: 20:42:39, time (data): 0.641 (0.000)] l1_latent_opt: 8.5209e-01 +2025-10-28 23:49:19,068 INFO: [26..][epoch: 13, step: 15,900, lr:(2.000e-04,)] [eta: 20:41:02, time (data): 0.641 (0.000)] l1_latent_opt: 8.5491e-01 +2025-10-28 23:50:23,106 INFO: [26..][epoch: 13, step: 16,000, lr:(2.000e-04,)] [eta: 20:39:25, time (data): 0.640 (0.000)] l1_latent_opt: 8.5502e-01 +2025-10-28 23:51:27,148 INFO: [26..][epoch: 13, step: 16,100, lr:(2.000e-04,)] [eta: 20:37:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.5297e-01 +2025-10-28 23:52:31,201 INFO: [26..][epoch: 13, step: 16,200, lr:(2.000e-04,)] [eta: 20:36:12, time (data): 0.641 (0.000)] l1_latent_opt: 8.5517e-01 +2025-10-28 23:53:44,261 INFO: [26..][epoch: 13, step: 16,300, lr:(2.000e-04,)] [eta: 20:35:36, time (data): 1.115 (0.000)] l1_latent_opt: 8.5232e-01 +2025-10-28 23:54:48,400 INFO: [26..][epoch: 13, step: 16,400, lr:(2.000e-04,)] [eta: 20:34:01, time (data): 0.717 (0.000)] l1_latent_opt: 8.5535e-01 +2025-10-28 23:55:52,514 INFO: [26..][epoch: 13, step: 16,500, lr:(2.000e-04,)] [eta: 20:32:26, time (data): 0.642 (0.000)] l1_latent_opt: 8.5421e-01 +2025-10-28 23:56:56,566 INFO: [26..][epoch: 13, step: 16,600, lr:(2.000e-04,)] [eta: 20:30:52, time (data): 0.641 (0.000)] l1_latent_opt: 8.5184e-01 +2025-10-28 23:58:00,809 INFO: [26..][epoch: 13, step: 16,700, lr:(2.000e-04,)] [eta: 20:29:18, time (data): 0.640 (0.000)] l1_latent_opt: 8.5279e-01 +2025-10-28 23:59:04,788 INFO: [26..][epoch: 13, step: 16,800, lr:(2.000e-04,)] [eta: 20:27:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.5216e-01 +2025-10-29 00:00:13,977 INFO: [26..][epoch: 14, step: 16,900, lr:(2.000e-04,)] [eta: 20:26:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.5177e-01 +2025-10-29 00:01:18,029 INFO: [26..][epoch: 14, step: 17,000, lr:(2.000e-04,)] [eta: 20:25:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.5244e-01 +2025-10-29 00:02:22,080 INFO: [26..][epoch: 14, step: 17,100, lr:(2.000e-04,)] [eta: 20:23:35, time (data): 0.640 (0.000)] l1_latent_opt: 8.4953e-01 +2025-10-29 00:03:26,267 INFO: [26..][epoch: 14, step: 17,200, lr:(2.000e-04,)] [eta: 20:22:03, time (data): 0.642 (0.000)] l1_latent_opt: 8.5179e-01 +2025-10-29 00:04:30,374 INFO: [26..][epoch: 14, step: 17,300, lr:(2.000e-04,)] [eta: 20:20:31, time (data): 0.641 (0.000)] l1_latent_opt: 8.4972e-01 +2025-10-29 00:05:34,391 INFO: [26..][epoch: 14, step: 17,400, lr:(2.000e-04,)] [eta: 20:18:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.5238e-01 +2025-10-29 00:06:38,436 INFO: [26..][epoch: 14, step: 17,500, lr:(2.000e-04,)] [eta: 20:17:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.5189e-01 +2025-10-29 00:07:42,473 INFO: [26..][epoch: 14, step: 17,600, lr:(2.000e-04,)] [eta: 20:15:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.5094e-01 +2025-10-29 00:08:46,583 INFO: [26..][epoch: 14, step: 17,700, lr:(2.000e-04,)] [eta: 20:14:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.5061e-01 +2025-10-29 00:09:50,595 INFO: [26..][epoch: 14, step: 17,800, lr:(2.000e-04,)] [eta: 20:12:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.5183e-01 +2025-10-29 00:10:54,612 INFO: [26..][epoch: 14, step: 17,900, lr:(2.000e-04,)] [eta: 20:11:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.5184e-01 +2025-10-29 00:11:58,623 INFO: [26..][epoch: 14, step: 18,000, lr:(2.000e-04,)] [eta: 20:09:50, time (data): 0.640 (0.000)] l1_latent_opt: 8.5156e-01 +2025-10-29 00:13:07,936 INFO: [26..][epoch: 15, step: 18,100, lr:(2.000e-04,)] [eta: 20:08:51, time (data): 0.641 (0.000)] l1_latent_opt: 8.5271e-01 +2025-10-29 00:14:12,015 INFO: [26..][epoch: 15, step: 18,200, lr:(2.000e-04,)] [eta: 20:07:21, time (data): 0.641 (0.000)] l1_latent_opt: 8.5282e-01 +2025-10-29 00:15:16,137 INFO: [26..][epoch: 15, step: 18,300, lr:(2.000e-04,)] [eta: 20:05:51, time (data): 0.640 (0.000)] l1_latent_opt: 8.5163e-01 +2025-10-29 00:16:20,296 INFO: [26..][epoch: 15, step: 18,400, lr:(2.000e-04,)] [eta: 20:04:22, time (data): 0.641 (0.000)] l1_latent_opt: 8.5130e-01 +2025-10-29 00:17:24,415 INFO: [26..][epoch: 15, step: 18,500, lr:(2.000e-04,)] [eta: 20:02:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.5120e-01 +2025-10-29 00:18:28,484 INFO: [26..][epoch: 15, step: 18,600, lr:(2.000e-04,)] [eta: 20:01:25, time (data): 0.641 (0.000)] l1_latent_opt: 8.4850e-01 +2025-10-29 00:19:32,697 INFO: [26..][epoch: 15, step: 18,700, lr:(2.000e-04,)] [eta: 19:59:57, time (data): 0.641 (0.000)] l1_latent_opt: 8.5409e-01 +2025-10-29 00:20:36,884 INFO: [26..][epoch: 15, step: 18,800, lr:(2.000e-04,)] [eta: 19:58:29, time (data): 0.642 (0.000)] l1_latent_opt: 8.5126e-01 +2025-10-29 00:21:41,430 INFO: [26..][epoch: 15, step: 18,900, lr:(2.000e-04,)] [eta: 19:57:04, time (data): 0.641 (0.000)] l1_latent_opt: 8.5097e-01 +2025-10-29 00:22:45,600 INFO: [26..][epoch: 15, step: 19,000, lr:(2.000e-04,)] [eta: 19:55:36, time (data): 0.642 (0.000)] l1_latent_opt: 8.5106e-01 +2025-10-29 00:23:49,712 INFO: [26..][epoch: 15, step: 19,100, lr:(2.000e-04,)] [eta: 19:54:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.4944e-01 +2025-10-29 00:24:53,785 INFO: [26..][epoch: 15, step: 19,200, lr:(2.000e-04,)] [eta: 19:52:41, time (data): 0.641 (0.000)] l1_latent_opt: 8.5005e-01 +2025-10-29 00:26:02,480 INFO: [26..][epoch: 16, step: 19,300, lr:(2.000e-04,)] [eta: 19:51:39, time (data): 0.643 (0.000)] l1_latent_opt: 8.5031e-01 +2025-10-29 00:27:06,517 INFO: [26..][epoch: 16, step: 19,400, lr:(2.000e-04,)] [eta: 19:50:12, time (data): 0.640 (0.000)] l1_latent_opt: 8.5041e-01 +2025-10-29 00:28:10,582 INFO: [26..][epoch: 16, step: 19,500, lr:(2.000e-04,)] [eta: 19:48:45, time (data): 0.641 (0.000)] l1_latent_opt: 8.5110e-01 +2025-10-29 00:29:14,773 INFO: [26..][epoch: 16, step: 19,600, lr:(2.000e-04,)] [eta: 19:47:19, time (data): 0.642 (0.000)] l1_latent_opt: 8.4968e-01 +2025-10-29 00:30:18,902 INFO: [26..][epoch: 16, step: 19,700, lr:(2.000e-04,)] [eta: 19:45:53, time (data): 0.640 (0.000)] l1_latent_opt: 8.4928e-01 +2025-10-29 00:31:23,082 INFO: [26..][epoch: 16, step: 19,800, lr:(2.000e-04,)] [eta: 19:44:28, time (data): 0.642 (0.000)] l1_latent_opt: 8.4972e-01 +2025-10-29 00:32:27,120 INFO: [26..][epoch: 16, step: 19,900, lr:(2.000e-04,)] [eta: 19:43:01, time (data): 0.640 (0.000)] l1_latent_opt: 8.4991e-01 +2025-10-29 00:33:31,281 INFO: [26..][epoch: 16, step: 20,000, lr:(2.000e-04,)] [eta: 19:41:36, time (data): 0.642 (0.000)] l1_latent_opt: 8.4883e-01 +2025-10-29 00:33:31,282 INFO: Saving models and training states. +2025-10-29 00:35:42,885 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8987 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2966 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.4161 Best: 26.4161 @ 20000 iter + +2025-10-29 00:36:46,871 INFO: [26..][epoch: 16, step: 20,100, lr:(2.000e-04,)] [eta: 19:51:37, time (data): 0.641 (0.000)] l1_latent_opt: 8.4874e-01 +2025-10-29 00:37:50,896 INFO: [26..][epoch: 16, step: 20,200, lr:(2.000e-04,)] [eta: 19:50:07, time (data): 0.640 (0.000)] l1_latent_opt: 8.4848e-01 +2025-10-29 00:38:55,094 INFO: [26..][epoch: 16, step: 20,300, lr:(2.000e-04,)] [eta: 19:48:39, time (data): 0.641 (0.000)] l1_latent_opt: 8.5225e-01 +2025-10-29 00:39:59,092 INFO: [26..][epoch: 16, step: 20,400, lr:(2.000e-04,)] [eta: 19:47:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.5011e-01 +2025-10-29 00:41:11,095 INFO: [26..][epoch: 17, step: 20,500, lr:(2.000e-04,)] [eta: 19:46:22, time (data): 0.680 (0.021)] l1_latent_opt: 8.4893e-01 +2025-10-29 00:42:15,058 INFO: [26..][epoch: 17, step: 20,600, lr:(2.000e-04,)] [eta: 19:44:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.4920e-01 +2025-10-29 00:43:19,105 INFO: [26..][epoch: 17, step: 20,700, lr:(2.000e-04,)] [eta: 19:43:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.4933e-01 +2025-10-29 00:44:23,200 INFO: [26..][epoch: 17, step: 20,800, lr:(2.000e-04,)] [eta: 19:41:56, time (data): 0.641 (0.000)] l1_latent_opt: 8.4940e-01 +2025-10-29 00:45:27,203 INFO: [26..][epoch: 17, step: 20,900, lr:(2.000e-04,)] [eta: 19:40:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.4872e-01 +2025-10-29 00:46:31,243 INFO: [26..][epoch: 17, step: 21,000, lr:(2.000e-04,)] [eta: 19:39:00, time (data): 0.640 (0.000)] l1_latent_opt: 8.4847e-01 +2025-10-29 00:47:35,466 INFO: [26..][epoch: 17, step: 21,100, lr:(2.000e-04,)] [eta: 19:37:33, time (data): 0.641 (0.000)] l1_latent_opt: 8.4895e-01 +2025-10-29 00:48:39,417 INFO: [26..][epoch: 17, step: 21,200, lr:(2.000e-04,)] [eta: 19:36:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.5089e-01 +2025-10-29 00:49:43,378 INFO: [26..][epoch: 17, step: 21,300, lr:(2.000e-04,)] [eta: 19:34:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.4987e-01 +2025-10-29 00:50:47,411 INFO: [26..][epoch: 17, step: 21,400, lr:(2.000e-04,)] [eta: 19:33:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.4980e-01 +2025-10-29 00:51:51,351 INFO: [26..][epoch: 17, step: 21,500, lr:(2.000e-04,)] [eta: 19:31:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.4741e-01 +2025-10-29 00:52:55,184 INFO: [26..][epoch: 17, step: 21,600, lr:(2.000e-04,)] [eta: 19:30:16, time (data): 0.638 (0.000)] l1_latent_opt: 8.4875e-01 +2025-10-29 00:54:03,188 INFO: [26..][epoch: 18, step: 21,700, lr:(2.000e-04,)] [eta: 19:29:08, time (data): 0.660 (0.021)] l1_latent_opt: 8.5579e-01 +2025-10-29 00:55:07,173 INFO: [26..][epoch: 18, step: 21,800, lr:(2.000e-04,)] [eta: 19:27:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.4928e-01 +2025-10-29 00:56:11,139 INFO: [26..][epoch: 18, step: 21,900, lr:(2.000e-04,)] [eta: 19:26:16, time (data): 0.640 (0.000)] l1_latent_opt: 8.4729e-01 +2025-10-29 00:57:15,666 INFO: [26..][epoch: 18, step: 22,000, lr:(2.000e-04,)] [eta: 19:24:52, time (data): 0.646 (0.000)] l1_latent_opt: 8.4908e-01 +2025-10-29 00:58:19,600 INFO: [26..][epoch: 18, step: 22,100, lr:(2.000e-04,)] [eta: 19:23:26, time (data): 0.642 (0.000)] l1_latent_opt: 8.4824e-01 +2025-10-29 00:59:23,701 INFO: [26..][epoch: 18, step: 22,200, lr:(2.000e-04,)] [eta: 19:22:01, time (data): 0.641 (0.000)] l1_latent_opt: 8.4750e-01 +2025-10-29 01:00:27,638 INFO: [26..][epoch: 18, step: 22,300, lr:(2.000e-04,)] [eta: 19:20:35, time (data): 0.640 (0.000)] l1_latent_opt: 8.4701e-01 +2025-10-29 01:01:31,569 INFO: [26..][epoch: 18, step: 22,400, lr:(2.000e-04,)] [eta: 19:19:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4923e-01 +2025-10-29 01:02:35,507 INFO: [26..][epoch: 18, step: 22,500, lr:(2.000e-04,)] [eta: 19:17:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.4742e-01 +2025-10-29 01:03:39,451 INFO: [26..][epoch: 18, step: 22,600, lr:(2.000e-04,)] [eta: 19:16:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4806e-01 +2025-10-29 01:04:43,378 INFO: [26..][epoch: 18, step: 22,700, lr:(2.000e-04,)] [eta: 19:14:54, time (data): 0.639 (0.000)] l1_latent_opt: 8.4509e-01 +2025-10-29 01:05:47,208 INFO: [26..][epoch: 18, step: 22,800, lr:(2.000e-04,)] [eta: 19:13:29, time (data): 0.638 (0.000)] l1_latent_opt: 8.4971e-01 +2025-10-29 01:06:56,135 INFO: [26..][epoch: 19, step: 22,900, lr:(2.000e-04,)] [eta: 19:12:26, time (data): 0.666 (0.026)] l1_latent_opt: 8.4644e-01 +2025-10-29 01:08:00,120 INFO: [26..][epoch: 19, step: 23,000, lr:(2.000e-04,)] [eta: 19:11:02, time (data): 0.640 (0.000)] l1_latent_opt: 8.4885e-01 +2025-10-29 01:09:04,115 INFO: [26..][epoch: 19, step: 23,100, lr:(2.000e-04,)] [eta: 19:09:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.4872e-01 +2025-10-29 01:10:08,070 INFO: [26..][epoch: 19, step: 23,200, lr:(2.000e-04,)] [eta: 19:08:14, time (data): 0.640 (0.000)] l1_latent_opt: 8.4722e-01 +2025-10-29 01:11:12,060 INFO: [26..][epoch: 19, step: 23,300, lr:(2.000e-04,)] [eta: 19:06:50, time (data): 0.640 (0.000)] l1_latent_opt: 8.4908e-01 +2025-10-29 01:12:16,127 INFO: [26..][epoch: 19, step: 23,400, lr:(2.000e-04,)] [eta: 19:05:27, time (data): 0.641 (0.000)] l1_latent_opt: 8.4665e-01 +2025-10-29 01:13:20,085 INFO: [26..][epoch: 19, step: 23,500, lr:(2.000e-04,)] [eta: 19:04:03, time (data): 0.640 (0.000)] l1_latent_opt: 8.4493e-01 +2025-10-29 01:14:24,070 INFO: [26..][epoch: 19, step: 23,600, lr:(2.000e-04,)] [eta: 19:02:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.4976e-01 +2025-10-29 01:15:28,016 INFO: [26..][epoch: 19, step: 23,700, lr:(2.000e-04,)] [eta: 19:01:17, time (data): 0.640 (0.000)] l1_latent_opt: 8.4954e-01 +2025-10-29 01:16:32,153 INFO: [26..][epoch: 19, step: 23,800, lr:(2.000e-04,)] [eta: 18:59:54, time (data): 0.642 (0.000)] l1_latent_opt: 8.4688e-01 +2025-10-29 01:17:36,158 INFO: [26..][epoch: 19, step: 23,900, lr:(2.000e-04,)] [eta: 18:58:32, time (data): 0.641 (0.000)] l1_latent_opt: 8.4691e-01 +2025-10-29 01:18:39,974 INFO: [26..][epoch: 19, step: 24,000, lr:(2.000e-04,)] [eta: 18:57:08, time (data): 0.638 (0.000)] l1_latent_opt: 8.4801e-01 +2025-10-29 01:19:48,534 INFO: [26..][epoch: 20, step: 24,100, lr:(2.000e-04,)] [eta: 18:56:05, time (data): 0.664 (0.018)] l1_latent_opt: 8.4861e-01 +2025-10-29 01:20:52,667 INFO: [26..][epoch: 20, step: 24,200, lr:(2.000e-04,)] [eta: 18:54:43, time (data): 0.641 (0.000)] l1_latent_opt: 8.4516e-01 +2025-10-29 01:21:56,586 INFO: [26..][epoch: 20, step: 24,300, lr:(2.000e-04,)] [eta: 18:53:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.4603e-01 +2025-10-29 01:23:00,510 INFO: [26..][epoch: 20, step: 24,400, lr:(2.000e-04,)] [eta: 18:51:58, time (data): 0.639 (0.000)] l1_latent_opt: 8.4621e-01 +2025-10-29 01:24:04,441 INFO: [26..][epoch: 20, step: 24,500, lr:(2.000e-04,)] [eta: 18:50:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.4755e-01 +2025-10-29 01:25:08,369 INFO: [26..][epoch: 20, step: 24,600, lr:(2.000e-04,)] [eta: 18:49:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.4889e-01 +2025-10-29 01:26:12,380 INFO: [26..][epoch: 20, step: 24,700, lr:(2.000e-04,)] [eta: 18:47:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.4817e-01 +2025-10-29 01:27:16,346 INFO: [26..][epoch: 20, step: 24,800, lr:(2.000e-04,)] [eta: 18:46:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.4707e-01 +2025-10-29 01:28:20,310 INFO: [26..][epoch: 20, step: 24,900, lr:(2.000e-04,)] [eta: 18:45:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.4706e-01 +2025-10-29 01:29:24,370 INFO: [26..][epoch: 20, step: 25,000, lr:(2.000e-04,)] [eta: 18:43:48, time (data): 0.641 (0.000)] l1_latent_opt: 8.4772e-01 +2025-10-29 01:29:24,371 INFO: Saving models and training states. +2025-10-29 01:31:35,383 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8964 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2903 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.5007 Best: 26.5007 @ 25000 iter + +2025-10-29 01:32:39,360 INFO: [26..][epoch: 20, step: 25,100, lr:(2.000e-04,)] [eta: 18:51:08, time (data): 0.640 (0.000)] l1_latent_opt: 8.4792e-01 +2025-10-29 01:33:43,260 INFO: [26..][epoch: 20, step: 25,200, lr:(2.000e-04,)] [eta: 18:49:45, time (data): 0.639 (0.000)] l1_latent_opt: 8.4552e-01 +2025-10-29 01:34:51,918 INFO: [26..][epoch: 21, step: 25,300, lr:(2.000e-04,)] [eta: 18:48:40, time (data): 0.666 (0.023)] l1_latent_opt: 8.4499e-01 +2025-10-29 01:35:56,034 INFO: [26..][epoch: 21, step: 25,400, lr:(2.000e-04,)] [eta: 18:47:17, time (data): 0.641 (0.000)] l1_latent_opt: 8.4584e-01 +2025-10-29 01:37:00,501 INFO: [26..][epoch: 21, step: 25,500, lr:(2.000e-04,)] [eta: 18:45:55, time (data): 0.643 (0.000)] l1_latent_opt: 8.4691e-01 +2025-10-29 01:38:04,974 INFO: [26..][epoch: 21, step: 25,600, lr:(2.000e-04,)] [eta: 18:44:34, time (data): 0.645 (0.000)] l1_latent_opt: 8.4824e-01 +2025-10-29 01:39:08,937 INFO: [26..][epoch: 21, step: 25,700, lr:(2.000e-04,)] [eta: 18:43:11, time (data): 0.642 (0.000)] l1_latent_opt: 8.4609e-01 +2025-10-29 01:40:12,861 INFO: [26..][epoch: 21, step: 25,800, lr:(2.000e-04,)] [eta: 18:41:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.4463e-01 +2025-10-29 01:41:16,817 INFO: [26..][epoch: 21, step: 25,900, lr:(2.000e-04,)] [eta: 18:40:25, time (data): 0.639 (0.000)] l1_latent_opt: 8.4349e-01 +2025-10-29 01:42:20,759 INFO: [26..][epoch: 21, step: 26,000, lr:(2.000e-04,)] [eta: 18:39:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.4611e-01 +2025-10-29 01:43:24,710 INFO: [26..][epoch: 21, step: 26,100, lr:(2.000e-04,)] [eta: 18:37:40, time (data): 0.639 (0.000)] l1_latent_opt: 8.4723e-01 +2025-10-29 01:44:28,642 INFO: [26..][epoch: 21, step: 26,200, lr:(2.000e-04,)] [eta: 18:36:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.4624e-01 +2025-10-29 01:45:32,601 INFO: [26..][epoch: 21, step: 26,300, lr:(2.000e-04,)] [eta: 18:34:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.4634e-01 +2025-10-29 01:46:36,427 INFO: [26..][epoch: 21, step: 26,400, lr:(2.000e-04,)] [eta: 18:33:33, time (data): 0.638 (0.000)] l1_latent_opt: 8.4618e-01 +2025-10-29 01:47:44,651 INFO: [26..][epoch: 22, step: 26,500, lr:(2.000e-04,)] [eta: 18:32:27, time (data): 0.664 (0.015)] l1_latent_opt: 8.4448e-01 +2025-10-29 01:48:48,597 INFO: [26..][epoch: 22, step: 26,600, lr:(2.000e-04,)] [eta: 18:31:05, time (data): 0.639 (0.000)] l1_latent_opt: 8.4608e-01 +2025-10-29 01:49:52,530 INFO: [26..][epoch: 22, step: 26,700, lr:(2.000e-04,)] [eta: 18:29:43, time (data): 0.639 (0.000)] l1_latent_opt: 8.4518e-01 +2025-10-29 01:50:56,441 INFO: [26..][epoch: 22, step: 26,800, lr:(2.000e-04,)] [eta: 18:28:22, time (data): 0.639 (0.000)] l1_latent_opt: 8.4751e-01 +2025-10-29 01:52:00,501 INFO: [26..][epoch: 22, step: 26,900, lr:(2.000e-04,)] [eta: 18:27:00, time (data): 0.640 (0.000)] l1_latent_opt: 8.4440e-01 +2025-10-29 01:53:04,745 INFO: [26..][epoch: 22, step: 27,000, lr:(2.000e-04,)] [eta: 18:25:40, time (data): 0.643 (0.000)] l1_latent_opt: 8.4595e-01 +2025-10-29 01:54:08,715 INFO: [26..][epoch: 22, step: 27,100, lr:(2.000e-04,)] [eta: 18:24:19, time (data): 0.641 (0.000)] l1_latent_opt: 8.4626e-01 +2025-10-29 01:55:12,683 INFO: [26..][epoch: 22, step: 27,200, lr:(2.000e-04,)] [eta: 18:22:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.4619e-01 +2025-10-29 01:56:16,628 INFO: [26..][epoch: 22, step: 27,300, lr:(2.000e-04,)] [eta: 18:21:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.4363e-01 +2025-10-29 01:57:20,571 INFO: [26..][epoch: 22, step: 27,400, lr:(2.000e-04,)] [eta: 18:20:16, time (data): 0.639 (0.000)] l1_latent_opt: 8.4474e-01 +2025-10-29 01:58:24,484 INFO: [26..][epoch: 22, step: 27,500, lr:(2.000e-04,)] [eta: 18:18:55, time (data): 0.639 (0.000)] l1_latent_opt: 8.4626e-01 +2025-10-29 01:59:28,307 INFO: [26..][epoch: 22, step: 27,600, lr:(2.000e-04,)] [eta: 18:17:34, time (data): 0.638 (0.000)] l1_latent_opt: 8.4681e-01 +2025-10-29 02:00:36,447 INFO: [26..][epoch: 23, step: 27,700, lr:(2.000e-04,)] [eta: 18:16:28, time (data): 0.665 (0.016)] l1_latent_opt: 8.4379e-01 +2025-10-29 02:01:40,399 INFO: [26..][epoch: 23, step: 27,800, lr:(2.000e-04,)] [eta: 18:15:08, time (data): 0.639 (0.000)] l1_latent_opt: 8.4468e-01 +2025-10-29 02:02:44,337 INFO: [26..][epoch: 23, step: 27,900, lr:(2.000e-04,)] [eta: 18:13:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.4717e-01 +2025-10-29 02:03:48,297 INFO: [26..][epoch: 23, step: 28,000, lr:(2.000e-04,)] [eta: 18:12:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.4596e-01 +2025-10-29 02:04:52,254 INFO: [26..][epoch: 23, step: 28,100, lr:(2.000e-04,)] [eta: 18:11:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.4596e-01 +2025-10-29 02:05:56,275 INFO: [26..][epoch: 23, step: 28,200, lr:(2.000e-04,)] [eta: 18:09:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.4448e-01 +2025-10-29 02:07:00,224 INFO: [26..][epoch: 23, step: 28,300, lr:(2.000e-04,)] [eta: 18:08:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.4528e-01 +2025-10-29 02:08:04,167 INFO: [26..][epoch: 23, step: 28,400, lr:(2.000e-04,)] [eta: 18:07:08, time (data): 0.639 (0.000)] l1_latent_opt: 8.4422e-01 +2025-10-29 02:09:08,121 INFO: [26..][epoch: 23, step: 28,500, lr:(2.000e-04,)] [eta: 18:05:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.4378e-01 +2025-10-29 02:10:12,055 INFO: [26..][epoch: 23, step: 28,600, lr:(2.000e-04,)] [eta: 18:04:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.4512e-01 +2025-10-29 02:11:15,965 INFO: [26..][epoch: 23, step: 28,700, lr:(2.000e-04,)] [eta: 18:03:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4549e-01 +2025-10-29 02:12:19,795 INFO: [26..][epoch: 23, step: 28,800, lr:(2.000e-04,)] [eta: 18:01:50, time (data): 0.638 (0.000)] l1_latent_opt: 8.4639e-01 +2025-10-29 02:13:28,329 INFO: [26..][epoch: 24, step: 28,900, lr:(2.000e-04,)] [eta: 18:00:46, time (data): 0.668 (0.029)] l1_latent_opt: 8.4518e-01 +2025-10-29 02:14:32,259 INFO: [26..][epoch: 24, step: 29,000, lr:(2.000e-04,)] [eta: 17:59:27, time (data): 0.639 (0.000)] l1_latent_opt: 8.4579e-01 +2025-10-29 02:15:36,191 INFO: [26..][epoch: 24, step: 29,100, lr:(2.000e-04,)] [eta: 17:58:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.4481e-01 +2025-10-29 02:16:40,278 INFO: [26..][epoch: 24, step: 29,200, lr:(2.000e-04,)] [eta: 17:56:49, time (data): 0.642 (0.000)] l1_latent_opt: 8.4596e-01 +2025-10-29 02:17:44,205 INFO: [26..][epoch: 24, step: 29,300, lr:(2.000e-04,)] [eta: 17:55:30, time (data): 0.640 (0.000)] l1_latent_opt: 8.4438e-01 +2025-10-29 02:18:48,143 INFO: [26..][epoch: 24, step: 29,400, lr:(2.000e-04,)] [eta: 17:54:11, time (data): 0.639 (0.000)] l1_latent_opt: 8.4588e-01 +2025-10-29 02:19:52,058 INFO: [26..][epoch: 24, step: 29,500, lr:(2.000e-04,)] [eta: 17:52:52, time (data): 0.639 (0.000)] l1_latent_opt: 8.4681e-01 +2025-10-29 02:20:55,965 INFO: [26..][epoch: 24, step: 29,600, lr:(2.000e-04,)] [eta: 17:51:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4621e-01 +2025-10-29 02:21:59,882 INFO: [26..][epoch: 24, step: 29,700, lr:(2.000e-04,)] [eta: 17:50:15, time (data): 0.639 (0.000)] l1_latent_opt: 8.4461e-01 +2025-10-29 02:23:03,819 INFO: [26..][epoch: 24, step: 29,800, lr:(2.000e-04,)] [eta: 17:48:57, time (data): 0.639 (0.000)] l1_latent_opt: 8.4505e-01 +2025-10-29 02:24:07,736 INFO: [26..][epoch: 24, step: 29,900, lr:(2.000e-04,)] [eta: 17:47:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.4322e-01 +2025-10-29 02:25:11,549 INFO: [26..][epoch: 24, step: 30,000, lr:(2.000e-04,)] [eta: 17:46:20, time (data): 0.638 (0.000)] l1_latent_opt: 8.4400e-01 +2025-10-29 02:25:11,550 INFO: Saving models and training states. +2025-10-29 02:27:19,407 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8948 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2851 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.5593 Best: 26.5593 @ 30000 iter + +2025-10-29 02:28:27,466 INFO: [26..][epoch: 25, step: 30,100, lr:(2.000e-04,)] [eta: 17:51:58, time (data): 0.666 (0.028)] l1_latent_opt: 8.4381e-01 +2025-10-29 02:29:31,402 INFO: [26..][epoch: 25, step: 30,200, lr:(2.000e-04,)] [eta: 17:50:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.4244e-01 +2025-10-29 02:30:35,342 INFO: [26..][epoch: 25, step: 30,300, lr:(2.000e-04,)] [eta: 17:49:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.4264e-01 +2025-10-29 02:31:39,359 INFO: [26..][epoch: 25, step: 30,400, lr:(2.000e-04,)] [eta: 17:47:59, time (data): 0.641 (0.000)] l1_latent_opt: 8.4409e-01 +2025-10-29 02:32:43,319 INFO: [26..][epoch: 25, step: 30,500, lr:(2.000e-04,)] [eta: 17:46:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.4452e-01 +2025-10-29 02:33:47,259 INFO: [26..][epoch: 25, step: 30,600, lr:(2.000e-04,)] [eta: 17:45:20, time (data): 0.639 (0.000)] l1_latent_opt: 8.4315e-01 +2025-10-29 02:34:51,197 INFO: [26..][epoch: 25, step: 30,700, lr:(2.000e-04,)] [eta: 17:44:01, time (data): 0.639 (0.000)] l1_latent_opt: 8.4236e-01 +2025-10-29 02:35:55,131 INFO: [26..][epoch: 25, step: 30,800, lr:(2.000e-04,)] [eta: 17:42:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.4336e-01 +2025-10-29 02:36:59,090 INFO: [26..][epoch: 25, step: 30,900, lr:(2.000e-04,)] [eta: 17:41:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.4469e-01 +2025-10-29 02:38:03,023 INFO: [26..][epoch: 25, step: 31,000, lr:(2.000e-04,)] [eta: 17:40:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.4574e-01 +2025-10-29 02:39:06,935 INFO: [26..][epoch: 25, step: 31,100, lr:(2.000e-04,)] [eta: 17:38:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.4399e-01 +2025-10-29 02:40:10,767 INFO: [26..][epoch: 25, step: 31,200, lr:(2.000e-04,)] [eta: 17:37:25, time (data): 0.638 (0.000)] l1_latent_opt: 8.4267e-01 +2025-10-29 02:41:18,888 INFO: [26..][epoch: 26, step: 31,300, lr:(2.000e-04,)] [eta: 17:36:19, time (data): 0.668 (0.029)] l1_latent_opt: 8.4443e-01 +2025-10-29 02:42:22,882 INFO: [26..][epoch: 26, step: 31,400, lr:(2.000e-04,)] [eta: 17:35:01, time (data): 0.640 (0.000)] l1_latent_opt: 8.4226e-01 +2025-10-29 02:43:26,830 INFO: [26..][epoch: 26, step: 31,500, lr:(2.000e-04,)] [eta: 17:33:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.4401e-01 +2025-10-29 02:44:30,809 INFO: [26..][epoch: 26, step: 31,600, lr:(2.000e-04,)] [eta: 17:32:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.4188e-01 +2025-10-29 02:45:34,782 INFO: [26..][epoch: 26, step: 31,700, lr:(2.000e-04,)] [eta: 17:31:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.4476e-01 +2025-10-29 02:46:38,761 INFO: [26..][epoch: 26, step: 31,800, lr:(2.000e-04,)] [eta: 17:29:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.4273e-01 +2025-10-29 02:47:49,695 INFO: [26..][epoch: 26, step: 31,900, lr:(2.000e-04,)] [eta: 17:28:49, time (data): 0.689 (0.000)] l1_latent_opt: 8.4378e-01 +2025-10-29 02:48:53,675 INFO: [26..][epoch: 26, step: 32,000, lr:(2.000e-04,)] [eta: 17:27:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.4450e-01 +2025-10-29 02:49:57,676 INFO: [26..][epoch: 26, step: 32,100, lr:(2.000e-04,)] [eta: 17:26:13, time (data): 0.640 (0.000)] l1_latent_opt: 8.4425e-01 +2025-10-29 02:51:01,636 INFO: [26..][epoch: 26, step: 32,200, lr:(2.000e-04,)] [eta: 17:24:55, time (data): 0.639 (0.000)] l1_latent_opt: 8.4671e-01 +2025-10-29 02:52:05,572 INFO: [26..][epoch: 26, step: 32,300, lr:(2.000e-04,)] [eta: 17:23:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.4363e-01 +2025-10-29 02:53:09,392 INFO: [26..][epoch: 26, step: 32,400, lr:(2.000e-04,)] [eta: 17:22:19, time (data): 0.638 (0.000)] l1_latent_opt: 8.4450e-01 +2025-10-29 02:54:17,655 INFO: [26..][epoch: 27, step: 32,500, lr:(2.000e-04,)] [eta: 17:21:14, time (data): 0.670 (0.022)] l1_latent_opt: 8.4351e-01 +2025-10-29 02:55:21,565 INFO: [26..][epoch: 27, step: 32,600, lr:(2.000e-04,)] [eta: 17:19:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.4410e-01 +2025-10-29 02:56:25,481 INFO: [26..][epoch: 27, step: 32,700, lr:(2.000e-04,)] [eta: 17:18:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.4291e-01 +2025-10-29 02:57:29,429 INFO: [26..][epoch: 27, step: 32,800, lr:(2.000e-04,)] [eta: 17:17:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.4171e-01 +2025-10-29 02:58:33,382 INFO: [26..][epoch: 27, step: 32,900, lr:(2.000e-04,)] [eta: 17:16:03, time (data): 0.640 (0.000)] l1_latent_opt: 8.4287e-01 +2025-10-29 02:59:37,297 INFO: [26..][epoch: 27, step: 33,000, lr:(2.000e-04,)] [eta: 17:14:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.4420e-01 +2025-10-29 03:00:41,206 INFO: [26..][epoch: 27, step: 33,100, lr:(2.000e-04,)] [eta: 17:13:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.4238e-01 +2025-10-29 03:01:45,129 INFO: [26..][epoch: 27, step: 33,200, lr:(2.000e-04,)] [eta: 17:12:11, time (data): 0.639 (0.000)] l1_latent_opt: 8.4226e-01 +2025-10-29 03:02:49,041 INFO: [26..][epoch: 27, step: 33,300, lr:(2.000e-04,)] [eta: 17:10:54, time (data): 0.639 (0.000)] l1_latent_opt: 8.4276e-01 +2025-10-29 03:03:52,957 INFO: [26..][epoch: 27, step: 33,400, lr:(2.000e-04,)] [eta: 17:09:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.4303e-01 +2025-10-29 03:04:56,849 INFO: [26..][epoch: 27, step: 33,500, lr:(2.000e-04,)] [eta: 17:08:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4158e-01 +2025-10-29 03:06:00,663 INFO: [26..][epoch: 27, step: 33,600, lr:(2.000e-04,)] [eta: 17:07:02, time (data): 0.638 (0.000)] l1_latent_opt: 8.4259e-01 +2025-10-29 03:07:08,805 INFO: [26..][epoch: 28, step: 33,700, lr:(2.000e-04,)] [eta: 17:05:57, time (data): 0.671 (0.030)] l1_latent_opt: 8.4449e-01 +2025-10-29 03:08:12,765 INFO: [26..][epoch: 28, step: 33,800, lr:(2.000e-04,)] [eta: 17:04:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.4179e-01 +2025-10-29 03:09:17,145 INFO: [26..][epoch: 28, step: 33,900, lr:(2.000e-04,)] [eta: 17:03:24, time (data): 0.643 (0.000)] l1_latent_opt: 8.4525e-01 +2025-10-29 03:10:21,083 INFO: [26..][epoch: 28, step: 34,000, lr:(2.000e-04,)] [eta: 17:02:08, time (data): 0.639 (0.000)] l1_latent_opt: 8.4184e-01 +2025-10-29 03:11:25,019 INFO: [26..][epoch: 28, step: 34,100, lr:(2.000e-04,)] [eta: 17:00:51, time (data): 0.639 (0.000)] l1_latent_opt: 8.4384e-01 +2025-10-29 03:12:28,951 INFO: [26..][epoch: 28, step: 34,200, lr:(2.000e-04,)] [eta: 16:59:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4474e-01 +2025-10-29 03:13:32,904 INFO: [26..][epoch: 28, step: 34,300, lr:(2.000e-04,)] [eta: 16:58:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.4290e-01 +2025-10-29 03:14:36,860 INFO: [26..][epoch: 28, step: 34,400, lr:(2.000e-04,)] [eta: 16:57:02, time (data): 0.639 (0.000)] l1_latent_opt: 8.4383e-01 +2025-10-29 03:15:40,786 INFO: [26..][epoch: 28, step: 34,500, lr:(2.000e-04,)] [eta: 16:55:45, time (data): 0.639 (0.000)] l1_latent_opt: 8.4212e-01 +2025-10-29 03:16:44,711 INFO: [26..][epoch: 28, step: 34,600, lr:(2.000e-04,)] [eta: 16:54:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.4441e-01 +2025-10-29 03:17:48,621 INFO: [26..][epoch: 28, step: 34,700, lr:(2.000e-04,)] [eta: 16:53:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.4259e-01 +2025-10-29 03:18:52,441 INFO: [26..][epoch: 28, step: 34,800, lr:(2.000e-04,)] [eta: 16:51:56, time (data): 0.638 (0.000)] l1_latent_opt: 8.4441e-01 +2025-10-29 03:20:01,320 INFO: [26..][epoch: 29, step: 34,900, lr:(2.000e-04,)] [eta: 16:50:53, time (data): 0.678 (0.039)] l1_latent_opt: 8.4103e-01 +2025-10-29 03:21:05,277 INFO: [26..][epoch: 29, step: 35,000, lr:(2.000e-04,)] [eta: 16:49:37, time (data): 0.640 (0.000)] l1_latent_opt: 8.4186e-01 +2025-10-29 03:21:05,278 INFO: Saving models and training states. +2025-10-29 03:23:12,353 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8937 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2819 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.5970 Best: 26.5970 @ 35000 iter + +2025-10-29 03:24:16,940 INFO: [26..][epoch: 29, step: 35,100, lr:(2.000e-04,)] [eta: 16:53:48, time (data): 0.645 (0.000)] l1_latent_opt: 8.4169e-01 +2025-10-29 03:25:21,610 INFO: [26..][epoch: 29, step: 35,200, lr:(2.000e-04,)] [eta: 16:52:33, time (data): 0.644 (0.000)] l1_latent_opt: 8.4253e-01 +2025-10-29 03:26:25,523 INFO: [26..][epoch: 29, step: 35,300, lr:(2.000e-04,)] [eta: 16:51:16, time (data): 0.640 (0.000)] l1_latent_opt: 8.4240e-01 +2025-10-29 03:27:29,989 INFO: [26..][epoch: 29, step: 35,400, lr:(2.000e-04,)] [eta: 16:50:00, time (data): 0.647 (0.000)] l1_latent_opt: 8.4197e-01 +2025-10-29 03:28:33,906 INFO: [26..][epoch: 29, step: 35,500, lr:(2.000e-04,)] [eta: 16:48:43, time (data): 0.641 (0.000)] l1_latent_opt: 8.4153e-01 +2025-10-29 03:29:37,828 INFO: [26..][epoch: 29, step: 35,600, lr:(2.000e-04,)] [eta: 16:47:26, time (data): 0.639 (0.000)] l1_latent_opt: 8.4331e-01 +2025-10-29 03:30:41,749 INFO: [26..][epoch: 29, step: 35,700, lr:(2.000e-04,)] [eta: 16:46:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4269e-01 +2025-10-29 03:31:45,666 INFO: [26..][epoch: 29, step: 35,800, lr:(2.000e-04,)] [eta: 16:44:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.4341e-01 +2025-10-29 03:32:49,569 INFO: [26..][epoch: 29, step: 35,900, lr:(2.000e-04,)] [eta: 16:43:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.4219e-01 +2025-10-29 03:33:53,388 INFO: [26..][epoch: 29, step: 36,000, lr:(2.000e-04,)] [eta: 16:42:19, time (data): 0.638 (0.000)] l1_latent_opt: 8.4199e-01 +2025-10-29 03:35:01,198 INFO: [26..][epoch: 30, step: 36,100, lr:(2.000e-04,)] [eta: 16:41:12, time (data): 0.671 (0.015)] l1_latent_opt: 8.4338e-01 +2025-10-29 03:36:05,117 INFO: [26..][epoch: 30, step: 36,200, lr:(2.000e-04,)] [eta: 16:39:55, time (data): 0.639 (0.000)] l1_latent_opt: 8.4194e-01 +2025-10-29 03:37:09,379 INFO: [26..][epoch: 30, step: 36,300, lr:(2.000e-04,)] [eta: 16:38:40, time (data): 0.642 (0.000)] l1_latent_opt: 8.4318e-01 +2025-10-29 03:38:13,370 INFO: [26..][epoch: 30, step: 36,400, lr:(2.000e-04,)] [eta: 16:37:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.4194e-01 +2025-10-29 03:39:17,312 INFO: [26..][epoch: 30, step: 36,500, lr:(2.000e-04,)] [eta: 16:36:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.4278e-01 +2025-10-29 03:40:21,235 INFO: [26..][epoch: 30, step: 36,600, lr:(2.000e-04,)] [eta: 16:34:51, time (data): 0.639 (0.000)] l1_latent_opt: 8.4147e-01 +2025-10-29 03:41:25,176 INFO: [26..][epoch: 30, step: 36,700, lr:(2.000e-04,)] [eta: 16:33:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.4279e-01 +2025-10-29 03:42:29,102 INFO: [26..][epoch: 30, step: 36,800, lr:(2.000e-04,)] [eta: 16:32:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4254e-01 +2025-10-29 03:43:33,118 INFO: [26..][epoch: 30, step: 36,900, lr:(2.000e-04,)] [eta: 16:31:03, time (data): 0.640 (0.000)] l1_latent_opt: 8.4286e-01 +2025-10-29 03:44:37,059 INFO: [26..][epoch: 30, step: 37,000, lr:(2.000e-04,)] [eta: 16:29:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.4163e-01 +2025-10-29 03:45:40,972 INFO: [26..][epoch: 30, step: 37,100, lr:(2.000e-04,)] [eta: 16:28:31, time (data): 0.639 (0.000)] l1_latent_opt: 8.4299e-01 +2025-10-29 03:46:44,798 INFO: [26..][epoch: 30, step: 37,200, lr:(2.000e-04,)] [eta: 16:27:15, time (data): 0.638 (0.000)] l1_latent_opt: 8.4216e-01 +2025-10-29 03:47:53,829 INFO: [26..][epoch: 31, step: 37,300, lr:(2.000e-04,)] [eta: 16:26:11, time (data): 0.683 (0.019)] l1_latent_opt: 8.4122e-01 +2025-10-29 03:48:57,803 INFO: [26..][epoch: 31, step: 37,400, lr:(2.000e-04,)] [eta: 16:24:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.4071e-01 +2025-10-29 03:50:01,771 INFO: [26..][epoch: 31, step: 37,500, lr:(2.000e-04,)] [eta: 16:23:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.4201e-01 +2025-10-29 03:51:05,750 INFO: [26..][epoch: 31, step: 37,600, lr:(2.000e-04,)] [eta: 16:22:24, time (data): 0.641 (0.000)] l1_latent_opt: 8.4282e-01 +2025-10-29 03:52:09,682 INFO: [26..][epoch: 31, step: 37,700, lr:(2.000e-04,)] [eta: 16:21:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4277e-01 +2025-10-29 03:53:13,616 INFO: [26..][epoch: 31, step: 37,800, lr:(2.000e-04,)] [eta: 16:19:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.4306e-01 +2025-10-29 03:54:17,598 INFO: [26..][epoch: 31, step: 37,900, lr:(2.000e-04,)] [eta: 16:18:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.4286e-01 +2025-10-29 03:55:21,608 INFO: [26..][epoch: 31, step: 38,000, lr:(2.000e-04,)] [eta: 16:17:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.4397e-01 +2025-10-29 03:56:25,601 INFO: [26..][epoch: 31, step: 38,100, lr:(2.000e-04,)] [eta: 16:16:08, time (data): 0.640 (0.000)] l1_latent_opt: 8.4385e-01 +2025-10-29 03:57:29,580 INFO: [26..][epoch: 31, step: 38,200, lr:(2.000e-04,)] [eta: 16:14:52, time (data): 0.639 (0.000)] l1_latent_opt: 8.4280e-01 +2025-10-29 03:58:33,529 INFO: [26..][epoch: 31, step: 38,300, lr:(2.000e-04,)] [eta: 16:13:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.4108e-01 +2025-10-29 03:59:37,356 INFO: [26..][epoch: 31, step: 38,400, lr:(2.000e-04,)] [eta: 16:12:22, time (data): 0.638 (0.000)] l1_latent_opt: 8.4196e-01 +2025-10-29 04:00:46,249 INFO: [26..][epoch: 32, step: 38,500, lr:(2.000e-04,)] [eta: 16:11:18, time (data): 0.685 (0.024)] l1_latent_opt: 8.4362e-01 +2025-10-29 04:01:50,177 INFO: [26..][epoch: 32, step: 38,600, lr:(2.000e-04,)] [eta: 16:10:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.4459e-01 +2025-10-29 04:02:54,119 INFO: [26..][epoch: 32, step: 38,700, lr:(2.000e-04,)] [eta: 16:08:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.4314e-01 +2025-10-29 04:03:58,097 INFO: [26..][epoch: 32, step: 38,800, lr:(2.000e-04,)] [eta: 16:07:33, time (data): 0.639 (0.000)] l1_latent_opt: 8.4176e-01 +2025-10-29 04:05:02,045 INFO: [26..][epoch: 32, step: 38,900, lr:(2.000e-04,)] [eta: 16:06:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.4315e-01 +2025-10-29 04:06:05,999 INFO: [26..][epoch: 32, step: 39,000, lr:(2.000e-04,)] [eta: 16:05:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.4439e-01 +2025-10-29 04:07:09,949 INFO: [26..][epoch: 32, step: 39,100, lr:(2.000e-04,)] [eta: 16:03:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.4424e-01 +2025-10-29 04:08:13,911 INFO: [26..][epoch: 32, step: 39,200, lr:(2.000e-04,)] [eta: 16:02:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4238e-01 +2025-10-29 04:09:17,853 INFO: [26..][epoch: 32, step: 39,300, lr:(2.000e-04,)] [eta: 16:01:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4213e-01 +2025-10-29 04:10:21,811 INFO: [26..][epoch: 32, step: 39,400, lr:(2.000e-04,)] [eta: 16:00:05, time (data): 0.639 (0.000)] l1_latent_opt: 8.4466e-01 +2025-10-29 04:11:25,739 INFO: [26..][epoch: 32, step: 39,500, lr:(2.000e-04,)] [eta: 15:58:50, time (data): 0.639 (0.000)] l1_latent_opt: 8.4004e-01 +2025-10-29 04:12:29,558 INFO: [26..][epoch: 32, step: 39,600, lr:(2.000e-04,)] [eta: 15:57:35, time (data): 0.638 (0.000)] l1_latent_opt: 8.4253e-01 +2025-10-29 04:13:37,229 INFO: [26..][epoch: 33, step: 39,700, lr:(2.000e-04,)] [eta: 15:56:29, time (data): 0.676 (0.036)] l1_latent_opt: 8.4027e-01 +2025-10-29 04:14:41,198 INFO: [26..][epoch: 33, step: 39,800, lr:(2.000e-04,)] [eta: 15:55:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.4098e-01 +2025-10-29 04:15:45,127 INFO: [26..][epoch: 33, step: 39,900, lr:(2.000e-04,)] [eta: 15:54:00, time (data): 0.639 (0.000)] l1_latent_opt: 8.4060e-01 +2025-10-29 04:16:49,136 INFO: [26..][epoch: 33, step: 40,000, lr:(2.000e-04,)] [eta: 15:52:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.4262e-01 +2025-10-29 04:16:49,137 INFO: Saving models and training states. +2025-10-29 04:18:57,830 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8920 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2772 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.6232 Best: 26.6232 @ 40000 iter + +2025-10-29 04:20:01,915 INFO: [26..][epoch: 33, step: 40,100, lr:(2.000e-04,)] [eta: 15:56:04, time (data): 0.641 (0.000)] l1_latent_opt: 8.4023e-01 +2025-10-29 04:21:05,816 INFO: [26..][epoch: 33, step: 40,200, lr:(2.000e-04,)] [eta: 15:54:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.4278e-01 +2025-10-29 04:22:09,715 INFO: [26..][epoch: 33, step: 40,300, lr:(2.000e-04,)] [eta: 15:53:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4467e-01 +2025-10-29 04:23:13,710 INFO: [26..][epoch: 33, step: 40,400, lr:(2.000e-04,)] [eta: 15:52:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4302e-01 +2025-10-29 04:24:17,665 INFO: [26..][epoch: 33, step: 40,500, lr:(2.000e-04,)] [eta: 15:51:04, time (data): 0.639 (0.000)] l1_latent_opt: 8.4207e-01 +2025-10-29 04:25:21,644 INFO: [26..][epoch: 33, step: 40,600, lr:(2.000e-04,)] [eta: 15:49:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.4099e-01 +2025-10-29 04:26:25,527 INFO: [26..][epoch: 33, step: 40,700, lr:(2.000e-04,)] [eta: 15:48:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4296e-01 +2025-10-29 04:27:29,324 INFO: [26..][epoch: 33, step: 40,800, lr:(2.000e-04,)] [eta: 15:47:19, time (data): 0.638 (0.000)] l1_latent_opt: 8.4091e-01 +2025-10-29 04:28:38,409 INFO: [26..][epoch: 34, step: 40,900, lr:(2.000e-04,)] [eta: 15:46:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3993e-01 +2025-10-29 04:29:42,261 INFO: [26..][epoch: 34, step: 41,000, lr:(2.000e-04,)] [eta: 15:44:59, time (data): 0.639 (0.000)] l1_latent_opt: 8.4292e-01 +2025-10-29 04:30:46,583 INFO: [26..][epoch: 34, step: 41,100, lr:(2.000e-04,)] [eta: 15:43:45, time (data): 0.643 (0.000)] l1_latent_opt: 8.4041e-01 +2025-10-29 04:31:50,742 INFO: [26..][epoch: 34, step: 41,200, lr:(2.000e-04,)] [eta: 15:42:31, time (data): 0.642 (0.000)] l1_latent_opt: 8.3985e-01 +2025-10-29 04:32:55,173 INFO: [26..][epoch: 34, step: 41,300, lr:(2.000e-04,)] [eta: 15:41:17, time (data): 0.645 (0.000)] l1_latent_opt: 8.4333e-01 +2025-10-29 04:33:59,594 INFO: [26..][epoch: 34, step: 41,400, lr:(2.000e-04,)] [eta: 15:40:04, time (data): 0.644 (0.000)] l1_latent_opt: 8.4225e-01 +2025-10-29 04:35:03,402 INFO: [26..][epoch: 34, step: 41,500, lr:(2.000e-04,)] [eta: 15:38:49, time (data): 0.638 (0.000)] l1_latent_opt: 8.3963e-01 +2025-10-29 04:36:07,244 INFO: [26..][epoch: 34, step: 41,600, lr:(2.000e-04,)] [eta: 15:37:34, time (data): 0.638 (0.000)] l1_latent_opt: 8.4207e-01 +2025-10-29 04:37:11,198 INFO: [26..][epoch: 34, step: 41,700, lr:(2.000e-04,)] [eta: 15:36:20, time (data): 0.640 (0.000)] l1_latent_opt: 8.4045e-01 +2025-10-29 04:38:15,174 INFO: [26..][epoch: 34, step: 41,800, lr:(2.000e-04,)] [eta: 15:35:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.4177e-01 +2025-10-29 04:39:18,994 INFO: [26..][epoch: 34, step: 41,900, lr:(2.000e-04,)] [eta: 15:33:51, time (data): 0.638 (0.000)] l1_latent_opt: 8.4395e-01 +2025-10-29 04:40:22,723 INFO: [26..][epoch: 34, step: 42,000, lr:(2.000e-04,)] [eta: 15:32:36, time (data): 0.638 (0.000)] l1_latent_opt: 8.4153e-01 +2025-10-29 04:41:31,371 INFO: [26..][epoch: 35, step: 42,100, lr:(2.000e-04,)] [eta: 15:31:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.4044e-01 +2025-10-29 04:42:35,605 INFO: [26..][epoch: 35, step: 42,200, lr:(2.000e-04,)] [eta: 15:30:17, time (data): 0.641 (0.000)] l1_latent_opt: 8.4111e-01 +2025-10-29 04:43:39,485 INFO: [26..][epoch: 35, step: 42,300, lr:(2.000e-04,)] [eta: 15:29:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.4128e-01 +2025-10-29 04:44:43,321 INFO: [26..][epoch: 35, step: 42,400, lr:(2.000e-04,)] [eta: 15:27:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.4107e-01 +2025-10-29 04:45:47,463 INFO: [26..][epoch: 35, step: 42,500, lr:(2.000e-04,)] [eta: 15:26:35, time (data): 0.642 (0.000)] l1_latent_opt: 8.3973e-01 +2025-10-29 04:46:51,363 INFO: [26..][epoch: 35, step: 42,600, lr:(2.000e-04,)] [eta: 15:25:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3871e-01 +2025-10-29 04:47:55,230 INFO: [26..][epoch: 35, step: 42,700, lr:(2.000e-04,)] [eta: 15:24:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.4177e-01 +2025-10-29 04:48:59,064 INFO: [26..][epoch: 35, step: 42,800, lr:(2.000e-04,)] [eta: 15:22:53, time (data): 0.638 (0.000)] l1_latent_opt: 8.4165e-01 +2025-10-29 04:50:02,901 INFO: [26..][epoch: 35, step: 42,900, lr:(2.000e-04,)] [eta: 15:21:38, time (data): 0.638 (0.000)] l1_latent_opt: 8.4036e-01 +2025-10-29 04:51:06,784 INFO: [26..][epoch: 35, step: 43,000, lr:(2.000e-04,)] [eta: 15:20:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.4023e-01 +2025-10-29 04:52:10,605 INFO: [26..][epoch: 35, step: 43,100, lr:(2.000e-04,)] [eta: 15:19:10, time (data): 0.638 (0.000)] l1_latent_opt: 8.4115e-01 +2025-10-29 04:53:14,335 INFO: [26..][epoch: 35, step: 43,200, lr:(2.000e-04,)] [eta: 15:17:56, time (data): 0.638 (0.000)] l1_latent_opt: 8.4211e-01 +2025-10-29 04:54:21,951 INFO: [26..][epoch: 36, step: 43,300, lr:(2.000e-04,)] [eta: 15:16:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.4305e-01 +2025-10-29 04:55:26,124 INFO: [26..][epoch: 36, step: 43,400, lr:(2.000e-04,)] [eta: 15:15:36, time (data): 0.641 (0.000)] l1_latent_opt: 8.3958e-01 +2025-10-29 04:56:30,109 INFO: [26..][epoch: 36, step: 43,500, lr:(2.000e-04,)] [eta: 15:14:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.4169e-01 +2025-10-29 04:57:34,087 INFO: [26..][epoch: 36, step: 43,600, lr:(2.000e-04,)] [eta: 15:13:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.4238e-01 +2025-10-29 04:58:38,036 INFO: [26..][epoch: 36, step: 43,700, lr:(2.000e-04,)] [eta: 15:11:55, time (data): 0.640 (0.000)] l1_latent_opt: 8.3973e-01 +2025-10-29 04:59:41,972 INFO: [26..][epoch: 36, step: 43,800, lr:(2.000e-04,)] [eta: 15:10:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.4013e-01 +2025-10-29 05:00:45,927 INFO: [26..][epoch: 36, step: 43,900, lr:(2.000e-04,)] [eta: 15:09:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.3978e-01 +2025-10-29 05:01:49,870 INFO: [26..][epoch: 36, step: 44,000, lr:(2.000e-04,)] [eta: 15:08:15, time (data): 0.639 (0.000)] l1_latent_opt: 8.3956e-01 +2025-10-29 05:02:53,867 INFO: [26..][epoch: 36, step: 44,100, lr:(2.000e-04,)] [eta: 15:07:02, time (data): 0.640 (0.000)] l1_latent_opt: 8.4114e-01 +2025-10-29 05:03:57,810 INFO: [26..][epoch: 36, step: 44,200, lr:(2.000e-04,)] [eta: 15:05:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.4179e-01 +2025-10-29 05:05:01,742 INFO: [26..][epoch: 36, step: 44,300, lr:(2.000e-04,)] [eta: 15:04:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.4168e-01 +2025-10-29 05:06:05,554 INFO: [26..][epoch: 36, step: 44,400, lr:(2.000e-04,)] [eta: 15:03:21, time (data): 0.639 (0.000)] l1_latent_opt: 8.4005e-01 +2025-10-29 05:07:13,579 INFO: [26..][epoch: 37, step: 44,500, lr:(2.000e-04,)] [eta: 15:02:16, time (data): 0.640 (0.000)] l1_latent_opt: 8.4092e-01 +2025-10-29 05:08:17,527 INFO: [26..][epoch: 37, step: 44,600, lr:(2.000e-04,)] [eta: 15:01:02, time (data): 0.639 (0.000)] l1_latent_opt: 8.4082e-01 +2025-10-29 05:09:21,455 INFO: [26..][epoch: 37, step: 44,700, lr:(2.000e-04,)] [eta: 14:59:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.4101e-01 +2025-10-29 05:10:25,407 INFO: [26..][epoch: 37, step: 44,800, lr:(2.000e-04,)] [eta: 14:58:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.3990e-01 +2025-10-29 05:11:29,342 INFO: [26..][epoch: 37, step: 44,900, lr:(2.000e-04,)] [eta: 14:57:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.4195e-01 +2025-10-29 05:12:33,368 INFO: [26..][epoch: 37, step: 45,000, lr:(2.000e-04,)] [eta: 14:56:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.4008e-01 +2025-10-29 05:12:33,547 INFO: Saving models and training states. +2025-10-29 05:14:43,875 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8927 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2786 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.6352 Best: 26.6352 @ 45000 iter + +2025-10-29 05:15:47,828 INFO: [26..][epoch: 37, step: 45,100, lr:(2.000e-04,)] [eta: 14:58:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.3897e-01 +2025-10-29 05:16:51,754 INFO: [26..][epoch: 37, step: 45,200, lr:(2.000e-04,)] [eta: 14:57:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.4045e-01 +2025-10-29 05:17:55,693 INFO: [26..][epoch: 37, step: 45,300, lr:(2.000e-04,)] [eta: 14:56:21, time (data): 0.639 (0.000)] l1_latent_opt: 8.4240e-01 +2025-10-29 05:18:59,618 INFO: [26..][epoch: 37, step: 45,400, lr:(2.000e-04,)] [eta: 14:55:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3918e-01 +2025-10-29 05:20:03,527 INFO: [26..][epoch: 37, step: 45,500, lr:(2.000e-04,)] [eta: 14:53:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.4201e-01 +2025-10-29 05:21:07,347 INFO: [26..][epoch: 37, step: 45,600, lr:(2.000e-04,)] [eta: 14:52:40, time (data): 0.639 (0.000)] l1_latent_opt: 8.3961e-01 +2025-10-29 05:22:15,693 INFO: [26..][epoch: 38, step: 45,700, lr:(2.000e-04,)] [eta: 14:51:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4087e-01 +2025-10-29 05:23:19,648 INFO: [26..][epoch: 38, step: 45,800, lr:(2.000e-04,)] [eta: 14:50:20, time (data): 0.639 (0.000)] l1_latent_opt: 8.4334e-01 +2025-10-29 05:24:23,620 INFO: [26..][epoch: 38, step: 45,900, lr:(2.000e-04,)] [eta: 14:49:07, time (data): 0.640 (0.000)] l1_latent_opt: 8.4120e-01 +2025-10-29 05:25:27,569 INFO: [26..][epoch: 38, step: 46,000, lr:(2.000e-04,)] [eta: 14:47:53, time (data): 0.640 (0.000)] l1_latent_opt: 8.4140e-01 +2025-10-29 05:26:31,517 INFO: [26..][epoch: 38, step: 46,100, lr:(2.000e-04,)] [eta: 14:46:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.4177e-01 +2025-10-29 05:27:35,467 INFO: [26..][epoch: 38, step: 46,200, lr:(2.000e-04,)] [eta: 14:45:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.4185e-01 +2025-10-29 05:28:39,390 INFO: [26..][epoch: 38, step: 46,300, lr:(2.000e-04,)] [eta: 14:44:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.4016e-01 +2025-10-29 05:29:43,310 INFO: [26..][epoch: 38, step: 46,400, lr:(2.000e-04,)] [eta: 14:43:00, time (data): 0.639 (0.000)] l1_latent_opt: 8.4025e-01 +2025-10-29 05:30:47,238 INFO: [26..][epoch: 38, step: 46,500, lr:(2.000e-04,)] [eta: 14:41:47, time (data): 0.639 (0.000)] l1_latent_opt: 8.4214e-01 +2025-10-29 05:31:51,213 INFO: [26..][epoch: 38, step: 46,600, lr:(2.000e-04,)] [eta: 14:40:33, time (data): 0.640 (0.000)] l1_latent_opt: 8.4009e-01 +2025-10-29 05:32:55,151 INFO: [26..][epoch: 38, step: 46,700, lr:(2.000e-04,)] [eta: 14:39:20, time (data): 0.639 (0.000)] l1_latent_opt: 8.3818e-01 +2025-10-29 05:33:58,970 INFO: [26..][epoch: 38, step: 46,800, lr:(2.000e-04,)] [eta: 14:38:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3854e-01 +2025-10-29 05:35:07,651 INFO: [26..][epoch: 39, step: 46,900, lr:(2.000e-04,)] [eta: 14:37:02, time (data): 0.639 (0.000)] l1_latent_opt: 8.4173e-01 +2025-10-29 05:36:11,833 INFO: [26..][epoch: 39, step: 47,000, lr:(2.000e-04,)] [eta: 14:35:49, time (data): 0.641 (0.000)] l1_latent_opt: 8.4081e-01 +2025-10-29 05:37:15,790 INFO: [26..][epoch: 39, step: 47,100, lr:(2.000e-04,)] [eta: 14:34:36, time (data): 0.640 (0.000)] l1_latent_opt: 8.3951e-01 +2025-10-29 05:38:19,739 INFO: [26..][epoch: 39, step: 47,200, lr:(2.000e-04,)] [eta: 14:33:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.3914e-01 +2025-10-29 05:39:23,665 INFO: [26..][epoch: 39, step: 47,300, lr:(2.000e-04,)] [eta: 14:32:10, time (data): 0.639 (0.000)] l1_latent_opt: 8.4106e-01 +2025-10-29 05:40:27,646 INFO: [26..][epoch: 39, step: 47,400, lr:(2.000e-04,)] [eta: 14:30:57, time (data): 0.640 (0.000)] l1_latent_opt: 8.4094e-01 +2025-10-29 05:41:31,576 INFO: [26..][epoch: 39, step: 47,500, lr:(2.000e-04,)] [eta: 14:29:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.3981e-01 +2025-10-29 05:42:35,522 INFO: [26..][epoch: 39, step: 47,600, lr:(2.000e-04,)] [eta: 14:28:31, time (data): 0.639 (0.000)] l1_latent_opt: 8.3880e-01 +2025-10-29 05:43:39,457 INFO: [26..][epoch: 39, step: 47,700, lr:(2.000e-04,)] [eta: 14:27:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.4082e-01 +2025-10-29 05:44:43,438 INFO: [26..][epoch: 39, step: 47,800, lr:(2.000e-04,)] [eta: 14:26:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3910e-01 +2025-10-29 05:45:47,387 INFO: [26..][epoch: 39, step: 47,900, lr:(2.000e-04,)] [eta: 14:24:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.4129e-01 +2025-10-29 05:46:51,207 INFO: [26..][epoch: 39, step: 48,000, lr:(2.000e-04,)] [eta: 14:23:40, time (data): 0.639 (0.000)] l1_latent_opt: 8.4085e-01 +2025-10-29 05:47:59,279 INFO: [26..][epoch: 40, step: 48,100, lr:(2.000e-04,)] [eta: 14:22:34, time (data): 0.640 (0.000)] l1_latent_opt: 8.4205e-01 +2025-10-29 05:49:03,228 INFO: [26..][epoch: 40, step: 48,200, lr:(2.000e-04,)] [eta: 14:21:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.4178e-01 +2025-10-29 05:50:07,178 INFO: [26..][epoch: 40, step: 48,300, lr:(2.000e-04,)] [eta: 14:20:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4233e-01 +2025-10-29 05:51:11,124 INFO: [26..][epoch: 40, step: 48,400, lr:(2.000e-04,)] [eta: 14:18:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.4124e-01 +2025-10-29 05:52:15,064 INFO: [26..][epoch: 40, step: 48,500, lr:(2.000e-04,)] [eta: 14:17:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.3944e-01 +2025-10-29 05:53:18,988 INFO: [26..][epoch: 40, step: 48,600, lr:(2.000e-04,)] [eta: 14:16:31, time (data): 0.639 (0.000)] l1_latent_opt: 8.3850e-01 +2025-10-29 05:54:22,915 INFO: [26..][epoch: 40, step: 48,700, lr:(2.000e-04,)] [eta: 14:15:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.4037e-01 +2025-10-29 05:55:26,849 INFO: [26..][epoch: 40, step: 48,800, lr:(2.000e-04,)] [eta: 14:14:06, time (data): 0.639 (0.000)] l1_latent_opt: 8.3945e-01 +2025-10-29 05:56:30,783 INFO: [26..][epoch: 40, step: 48,900, lr:(2.000e-04,)] [eta: 14:12:54, time (data): 0.639 (0.000)] l1_latent_opt: 8.4140e-01 +2025-10-29 05:57:34,714 INFO: [26..][epoch: 40, step: 49,000, lr:(2.000e-04,)] [eta: 14:11:41, time (data): 0.639 (0.000)] l1_latent_opt: 8.4078e-01 +2025-10-29 05:58:38,630 INFO: [26..][epoch: 40, step: 49,100, lr:(2.000e-04,)] [eta: 14:10:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.4077e-01 +2025-10-29 05:59:42,457 INFO: [26..][epoch: 40, step: 49,200, lr:(2.000e-04,)] [eta: 14:09:17, time (data): 0.639 (0.000)] l1_latent_opt: 8.3874e-01 +2025-10-29 06:00:50,636 INFO: [26..][epoch: 41, step: 49,300, lr:(2.000e-04,)] [eta: 14:08:11, time (data): 0.639 (0.000)] l1_latent_opt: 8.3824e-01 +2025-10-29 06:01:54,805 INFO: [26..][epoch: 41, step: 49,400, lr:(2.000e-04,)] [eta: 14:06:59, time (data): 0.641 (0.000)] l1_latent_opt: 8.3923e-01 +2025-10-29 06:02:58,708 INFO: [26..][epoch: 41, step: 49,500, lr:(2.000e-04,)] [eta: 14:05:47, time (data): 0.639 (0.000)] l1_latent_opt: 8.3962e-01 +2025-10-29 06:04:02,702 INFO: [26..][epoch: 41, step: 49,600, lr:(2.000e-04,)] [eta: 14:04:34, time (data): 0.640 (0.000)] l1_latent_opt: 8.3855e-01 +2025-10-29 06:05:06,905 INFO: [26..][epoch: 41, step: 49,700, lr:(2.000e-04,)] [eta: 14:03:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.3982e-01 +2025-10-29 06:06:10,828 INFO: [26..][epoch: 41, step: 49,800, lr:(2.000e-04,)] [eta: 14:02:11, time (data): 0.639 (0.000)] l1_latent_opt: 8.3953e-01 +2025-10-29 06:07:14,750 INFO: [26..][epoch: 41, step: 49,900, lr:(2.000e-04,)] [eta: 14:00:58, time (data): 0.639 (0.000)] l1_latent_opt: 8.4011e-01 +2025-10-29 06:08:25,007 INFO: [26..][epoch: 41, step: 50,000, lr:(2.000e-04,)] [eta: 13:59:56, time (data): 0.681 (0.000)] l1_latent_opt: 8.3710e-01 +2025-10-29 06:08:25,008 INFO: Saving models and training states. +2025-10-29 06:10:33,816 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8914 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2755 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.6519 Best: 26.6519 @ 50000 iter + +2025-10-29 06:11:37,657 INFO: [26..][epoch: 41, step: 50,100, lr:(2.000e-04,)] [eta: 14:01:56, time (data): 0.638 (0.000)] l1_latent_opt: 8.3909e-01 +2025-10-29 06:12:41,498 INFO: [26..][epoch: 41, step: 50,200, lr:(2.000e-04,)] [eta: 14:00:43, time (data): 0.638 (0.000)] l1_latent_opt: 8.4185e-01 +2025-10-29 06:13:45,321 INFO: [26..][epoch: 41, step: 50,300, lr:(2.000e-04,)] [eta: 13:59:31, time (data): 0.638 (0.000)] l1_latent_opt: 8.4122e-01 +2025-10-29 06:14:49,044 INFO: [26..][epoch: 41, step: 50,400, lr:(2.000e-04,)] [eta: 13:58:18, time (data): 0.638 (0.000)] l1_latent_opt: 8.4219e-01 +2025-10-29 06:15:57,187 INFO: [26..][epoch: 42, step: 50,500, lr:(2.000e-04,)] [eta: 13:57:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.4031e-01 +2025-10-29 06:17:01,145 INFO: [26..][epoch: 42, step: 50,600, lr:(2.000e-04,)] [eta: 13:55:59, time (data): 0.640 (0.000)] l1_latent_opt: 8.3925e-01 +2025-10-29 06:18:05,118 INFO: [26..][epoch: 42, step: 50,700, lr:(2.000e-04,)] [eta: 13:54:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.4104e-01 +2025-10-29 06:19:09,046 INFO: [26..][epoch: 42, step: 50,800, lr:(2.000e-04,)] [eta: 13:53:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4112e-01 +2025-10-29 06:20:13,018 INFO: [26..][epoch: 42, step: 50,900, lr:(2.000e-04,)] [eta: 13:52:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3746e-01 +2025-10-29 06:21:16,999 INFO: [26..][epoch: 42, step: 51,000, lr:(2.000e-04,)] [eta: 13:51:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.3961e-01 +2025-10-29 06:22:20,947 INFO: [26..][epoch: 42, step: 51,100, lr:(2.000e-04,)] [eta: 13:49:57, time (data): 0.640 (0.000)] l1_latent_opt: 8.3924e-01 +2025-10-29 06:23:24,906 INFO: [26..][epoch: 42, step: 51,200, lr:(2.000e-04,)] [eta: 13:48:44, time (data): 0.640 (0.000)] l1_latent_opt: 8.3981e-01 +2025-10-29 06:24:28,852 INFO: [26..][epoch: 42, step: 51,300, lr:(2.000e-04,)] [eta: 13:47:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.4177e-01 +2025-10-29 06:25:32,818 INFO: [26..][epoch: 42, step: 51,400, lr:(2.000e-04,)] [eta: 13:46:20, time (data): 0.640 (0.000)] l1_latent_opt: 8.3962e-01 +2025-10-29 06:26:36,762 INFO: [26..][epoch: 42, step: 51,500, lr:(2.000e-04,)] [eta: 13:45:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3863e-01 +2025-10-29 06:27:40,592 INFO: [26..][epoch: 42, step: 51,600, lr:(2.000e-04,)] [eta: 13:43:55, time (data): 0.638 (0.000)] l1_latent_opt: 8.4055e-01 +2025-10-29 06:28:49,401 INFO: [26..][epoch: 43, step: 51,700, lr:(2.000e-04,)] [eta: 13:42:50, time (data): 0.640 (0.000)] l1_latent_opt: 8.3889e-01 +2025-10-29 06:29:53,376 INFO: [26..][epoch: 43, step: 51,800, lr:(2.000e-04,)] [eta: 13:41:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.4133e-01 +2025-10-29 06:30:57,317 INFO: [26..][epoch: 43, step: 51,900, lr:(2.000e-04,)] [eta: 13:40:26, time (data): 0.639 (0.000)] l1_latent_opt: 8.4099e-01 +2025-10-29 06:32:01,236 INFO: [26..][epoch: 43, step: 52,000, lr:(2.000e-04,)] [eta: 13:39:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.4047e-01 +2025-10-29 06:33:05,157 INFO: [26..][epoch: 43, step: 52,100, lr:(2.000e-04,)] [eta: 13:38:01, time (data): 0.639 (0.000)] l1_latent_opt: 8.4154e-01 +2025-10-29 06:34:09,121 INFO: [26..][epoch: 43, step: 52,200, lr:(2.000e-04,)] [eta: 13:36:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3919e-01 +2025-10-29 06:35:13,102 INFO: [26..][epoch: 43, step: 52,300, lr:(2.000e-04,)] [eta: 13:35:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.3742e-01 +2025-10-29 06:36:17,056 INFO: [26..][epoch: 43, step: 52,400, lr:(2.000e-04,)] [eta: 13:34:25, time (data): 0.639 (0.000)] l1_latent_opt: 8.4014e-01 +2025-10-29 06:37:20,980 INFO: [26..][epoch: 43, step: 52,500, lr:(2.000e-04,)] [eta: 13:33:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.4005e-01 +2025-10-29 06:38:24,908 INFO: [26..][epoch: 43, step: 52,600, lr:(2.000e-04,)] [eta: 13:32:01, time (data): 0.639 (0.000)] l1_latent_opt: 8.3886e-01 +2025-10-29 06:39:28,964 INFO: [26..][epoch: 43, step: 52,700, lr:(2.000e-04,)] [eta: 13:30:50, time (data): 0.639 (0.000)] l1_latent_opt: 8.4075e-01 +2025-10-29 06:40:32,779 INFO: [26..][epoch: 43, step: 52,800, lr:(2.000e-04,)] [eta: 13:29:38, time (data): 0.638 (0.000)] l1_latent_opt: 8.3912e-01 +2025-10-29 06:41:40,227 INFO: [26..][epoch: 44, step: 52,900, lr:(2.000e-04,)] [eta: 13:28:31, time (data): 0.639 (0.000)] l1_latent_opt: 8.3737e-01 +2025-10-29 06:42:44,197 INFO: [26..][epoch: 44, step: 53,000, lr:(2.000e-04,)] [eta: 13:27:19, time (data): 0.640 (0.000)] l1_latent_opt: 8.4017e-01 +2025-10-29 06:43:48,191 INFO: [26..][epoch: 44, step: 53,100, lr:(2.000e-04,)] [eta: 13:26:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.4060e-01 +2025-10-29 06:44:52,143 INFO: [26..][epoch: 44, step: 53,200, lr:(2.000e-04,)] [eta: 13:24:55, time (data): 0.639 (0.000)] l1_latent_opt: 8.3870e-01 +2025-10-29 06:45:56,082 INFO: [26..][epoch: 44, step: 53,300, lr:(2.000e-04,)] [eta: 13:23:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.4050e-01 +2025-10-29 06:47:00,024 INFO: [26..][epoch: 44, step: 53,400, lr:(2.000e-04,)] [eta: 13:22:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3877e-01 +2025-10-29 06:48:03,980 INFO: [26..][epoch: 44, step: 53,500, lr:(2.000e-04,)] [eta: 13:21:20, time (data): 0.639 (0.000)] l1_latent_opt: 8.4058e-01 +2025-10-29 06:49:07,910 INFO: [26..][epoch: 44, step: 53,600, lr:(2.000e-04,)] [eta: 13:20:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.4055e-01 +2025-10-29 06:50:11,872 INFO: [26..][epoch: 44, step: 53,700, lr:(2.000e-04,)] [eta: 13:18:57, time (data): 0.640 (0.000)] l1_latent_opt: 8.4000e-01 +2025-10-29 06:51:15,841 INFO: [26..][epoch: 44, step: 53,800, lr:(2.000e-04,)] [eta: 13:17:45, time (data): 0.640 (0.000)] l1_latent_opt: 8.3979e-01 +2025-10-29 06:52:19,777 INFO: [26..][epoch: 44, step: 53,900, lr:(2.000e-04,)] [eta: 13:16:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.4146e-01 +2025-10-29 06:53:23,604 INFO: [26..][epoch: 44, step: 54,000, lr:(2.000e-04,)] [eta: 13:15:22, time (data): 0.638 (0.000)] l1_latent_opt: 8.3851e-01 +2025-10-29 06:54:32,050 INFO: [26..][epoch: 45, step: 54,100, lr:(2.000e-04,)] [eta: 13:14:17, time (data): 0.639 (0.000)] l1_latent_opt: 8.3812e-01 +2025-10-29 06:55:35,876 INFO: [26..][epoch: 45, step: 54,200, lr:(2.000e-04,)] [eta: 13:13:05, time (data): 0.638 (0.000)] l1_latent_opt: 8.4165e-01 +2025-10-29 06:56:39,701 INFO: [26..][epoch: 45, step: 54,300, lr:(2.000e-04,)] [eta: 13:11:53, time (data): 0.638 (0.000)] l1_latent_opt: 8.4054e-01 +2025-10-29 06:57:43,667 INFO: [26..][epoch: 45, step: 54,400, lr:(2.000e-04,)] [eta: 13:10:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.4009e-01 +2025-10-29 06:58:47,678 INFO: [26..][epoch: 45, step: 54,500, lr:(2.000e-04,)] [eta: 13:09:31, time (data): 0.638 (0.000)] l1_latent_opt: 8.3806e-01 +2025-10-29 06:59:51,504 INFO: [26..][epoch: 45, step: 54,600, lr:(2.000e-04,)] [eta: 13:08:19, time (data): 0.638 (0.000)] l1_latent_opt: 8.3918e-01 +2025-10-29 07:00:55,325 INFO: [26..][epoch: 45, step: 54,700, lr:(2.000e-04,)] [eta: 13:07:07, time (data): 0.638 (0.000)] l1_latent_opt: 8.3979e-01 +2025-10-29 07:01:59,170 INFO: [26..][epoch: 45, step: 54,800, lr:(2.000e-04,)] [eta: 13:05:56, time (data): 0.638 (0.000)] l1_latent_opt: 8.3886e-01 +2025-10-29 07:03:03,020 INFO: [26..][epoch: 45, step: 54,900, lr:(2.000e-04,)] [eta: 13:04:45, time (data): 0.638 (0.000)] l1_latent_opt: 8.4042e-01 +2025-10-29 07:04:06,852 INFO: [26..][epoch: 45, step: 55,000, lr:(2.000e-04,)] [eta: 13:03:33, time (data): 0.638 (0.000)] l1_latent_opt: 8.3874e-01 +2025-10-29 07:04:06,854 INFO: Saving models and training states. +2025-10-29 07:06:15,670 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8910 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2740 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.6592 Best: 26.6592 @ 55000 iter + +2025-10-29 07:07:19,569 INFO: [26..][epoch: 45, step: 55,100, lr:(2.000e-04,)] [eta: 13:05:05, time (data): 0.638 (0.000)] l1_latent_opt: 8.3921e-01 +2025-10-29 07:08:23,383 INFO: [26..][epoch: 45, step: 55,200, lr:(2.000e-04,)] [eta: 13:03:53, time (data): 0.638 (0.000)] l1_latent_opt: 8.3831e-01 +2025-10-29 07:09:31,893 INFO: [26..][epoch: 46, step: 55,300, lr:(2.000e-04,)] [eta: 13:02:47, time (data): 0.639 (0.000)] l1_latent_opt: 8.3914e-01 +2025-10-29 07:10:35,807 INFO: [26..][epoch: 46, step: 55,400, lr:(2.000e-04,)] [eta: 13:01:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.3919e-01 +2025-10-29 07:11:39,727 INFO: [26..][epoch: 46, step: 55,500, lr:(2.000e-04,)] [eta: 13:00:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.4047e-01 +2025-10-29 07:12:43,649 INFO: [26..][epoch: 46, step: 55,600, lr:(2.000e-04,)] [eta: 12:59:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3922e-01 +2025-10-29 07:13:47,626 INFO: [26..][epoch: 46, step: 55,700, lr:(2.000e-04,)] [eta: 12:58:01, time (data): 0.642 (0.000)] l1_latent_opt: 8.3926e-01 +2025-10-29 07:14:51,590 INFO: [26..][epoch: 46, step: 55,800, lr:(2.000e-04,)] [eta: 12:56:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3902e-01 +2025-10-29 07:15:55,504 INFO: [26..][epoch: 46, step: 55,900, lr:(2.000e-04,)] [eta: 12:55:37, time (data): 0.639 (0.000)] l1_latent_opt: 8.3769e-01 +2025-10-29 07:16:59,432 INFO: [26..][epoch: 46, step: 56,000, lr:(2.000e-04,)] [eta: 12:54:26, time (data): 0.639 (0.000)] l1_latent_opt: 8.3970e-01 +2025-10-29 07:18:03,352 INFO: [26..][epoch: 46, step: 56,100, lr:(2.000e-04,)] [eta: 12:53:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3766e-01 +2025-10-29 07:19:07,281 INFO: [26..][epoch: 46, step: 56,200, lr:(2.000e-04,)] [eta: 12:52:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.3846e-01 +2025-10-29 07:20:11,202 INFO: [26..][epoch: 46, step: 56,300, lr:(2.000e-04,)] [eta: 12:50:51, time (data): 0.638 (0.000)] l1_latent_opt: 8.3742e-01 +2025-10-29 07:21:15,023 INFO: [26..][epoch: 46, step: 56,400, lr:(2.000e-04,)] [eta: 12:49:40, time (data): 0.638 (0.000)] l1_latent_opt: 8.3768e-01 +2025-10-29 07:22:22,208 INFO: [26..][epoch: 47, step: 56,500, lr:(2.000e-04,)] [eta: 12:48:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3948e-01 +2025-10-29 07:23:26,135 INFO: [26..][epoch: 47, step: 56,600, lr:(2.000e-04,)] [eta: 12:47:21, time (data): 0.639 (0.000)] l1_latent_opt: 8.3946e-01 +2025-10-29 07:24:30,101 INFO: [26..][epoch: 47, step: 56,700, lr:(2.000e-04,)] [eta: 12:46:10, time (data): 0.639 (0.000)] l1_latent_opt: 8.3875e-01 +2025-10-29 07:25:34,091 INFO: [26..][epoch: 47, step: 56,800, lr:(2.000e-04,)] [eta: 12:44:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.3861e-01 +2025-10-29 07:26:38,052 INFO: [26..][epoch: 47, step: 56,900, lr:(2.000e-04,)] [eta: 12:43:47, time (data): 0.639 (0.000)] l1_latent_opt: 8.4004e-01 +2025-10-29 07:27:41,983 INFO: [26..][epoch: 47, step: 57,000, lr:(2.000e-04,)] [eta: 12:42:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.4040e-01 +2025-10-29 07:28:45,930 INFO: [26..][epoch: 47, step: 57,100, lr:(2.000e-04,)] [eta: 12:41:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.3802e-01 +2025-10-29 07:29:49,877 INFO: [26..][epoch: 47, step: 57,200, lr:(2.000e-04,)] [eta: 12:40:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.3787e-01 +2025-10-29 07:30:53,851 INFO: [26..][epoch: 47, step: 57,300, lr:(2.000e-04,)] [eta: 12:39:02, time (data): 0.641 (0.000)] l1_latent_opt: 8.3916e-01 +2025-10-29 07:31:57,784 INFO: [26..][epoch: 47, step: 57,400, lr:(2.000e-04,)] [eta: 12:37:51, time (data): 0.639 (0.000)] l1_latent_opt: 8.3964e-01 +2025-10-29 07:33:01,699 INFO: [26..][epoch: 47, step: 57,500, lr:(2.000e-04,)] [eta: 12:36:40, time (data): 0.638 (0.000)] l1_latent_opt: 8.3999e-01 +2025-10-29 07:34:05,526 INFO: [26..][epoch: 47, step: 57,600, lr:(2.000e-04,)] [eta: 12:35:28, time (data): 0.638 (0.000)] l1_latent_opt: 8.3683e-01 +2025-10-29 07:35:13,505 INFO: [26..][epoch: 48, step: 57,700, lr:(2.000e-04,)] [eta: 12:34:22, time (data): 0.643 (0.000)] l1_latent_opt: 8.3885e-01 +2025-10-29 07:36:17,485 INFO: [26..][epoch: 48, step: 57,800, lr:(2.000e-04,)] [eta: 12:33:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.3787e-01 +2025-10-29 07:37:21,438 INFO: [26..][epoch: 48, step: 57,900, lr:(2.000e-04,)] [eta: 12:32:00, time (data): 0.639 (0.000)] l1_latent_opt: 8.3812e-01 +2025-10-29 07:38:25,405 INFO: [26..][epoch: 48, step: 58,000, lr:(2.000e-04,)] [eta: 12:30:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3853e-01 +2025-10-29 07:39:29,402 INFO: [26..][epoch: 48, step: 58,100, lr:(2.000e-04,)] [eta: 12:29:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.4052e-01 +2025-10-29 07:40:33,369 INFO: [26..][epoch: 48, step: 58,200, lr:(2.000e-04,)] [eta: 12:28:27, time (data): 0.640 (0.000)] l1_latent_opt: 8.3974e-01 +2025-10-29 07:41:37,325 INFO: [26..][epoch: 48, step: 58,300, lr:(2.000e-04,)] [eta: 12:27:16, time (data): 0.639 (0.000)] l1_latent_opt: 8.3849e-01 +2025-10-29 07:42:41,294 INFO: [26..][epoch: 48, step: 58,400, lr:(2.000e-04,)] [eta: 12:26:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.3779e-01 +2025-10-29 07:43:45,252 INFO: [26..][epoch: 48, step: 58,500, lr:(2.000e-04,)] [eta: 12:24:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.3571e-01 +2025-10-29 07:44:49,247 INFO: [26..][epoch: 48, step: 58,600, lr:(2.000e-04,)] [eta: 12:23:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.4116e-01 +2025-10-29 07:45:53,199 INFO: [26..][epoch: 48, step: 58,700, lr:(2.000e-04,)] [eta: 12:22:32, time (data): 0.638 (0.000)] l1_latent_opt: 8.3841e-01 +2025-10-29 07:46:57,065 INFO: [26..][epoch: 48, step: 58,800, lr:(2.000e-04,)] [eta: 12:21:21, time (data): 0.639 (0.000)] l1_latent_opt: 8.3973e-01 +2025-10-29 07:48:05,305 INFO: [26..][epoch: 49, step: 58,900, lr:(2.000e-04,)] [eta: 12:20:15, time (data): 0.640 (0.000)] l1_latent_opt: 8.3819e-01 +2025-10-29 07:49:09,253 INFO: [26..][epoch: 49, step: 59,000, lr:(2.000e-04,)] [eta: 12:19:04, time (data): 0.639 (0.000)] l1_latent_opt: 8.3780e-01 +2025-10-29 07:50:13,182 INFO: [26..][epoch: 49, step: 59,100, lr:(2.000e-04,)] [eta: 12:17:54, time (data): 0.639 (0.000)] l1_latent_opt: 8.3716e-01 +2025-10-29 07:51:17,157 INFO: [26..][epoch: 49, step: 59,200, lr:(2.000e-04,)] [eta: 12:16:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.3950e-01 +2025-10-29 07:52:21,105 INFO: [26..][epoch: 49, step: 59,300, lr:(2.000e-04,)] [eta: 12:15:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.3886e-01 +2025-10-29 07:53:25,152 INFO: [26..][epoch: 49, step: 59,400, lr:(2.000e-04,)] [eta: 12:14:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3842e-01 +2025-10-29 07:54:29,129 INFO: [26..][epoch: 49, step: 59,500, lr:(2.000e-04,)] [eta: 12:13:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.4024e-01 +2025-10-29 07:55:33,108 INFO: [26..][epoch: 49, step: 59,600, lr:(2.000e-04,)] [eta: 12:12:00, time (data): 0.640 (0.000)] l1_latent_opt: 8.3948e-01 +2025-10-29 07:56:37,068 INFO: [26..][epoch: 49, step: 59,700, lr:(2.000e-04,)] [eta: 12:10:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.3746e-01 +2025-10-29 07:57:41,016 INFO: [26..][epoch: 49, step: 59,800, lr:(2.000e-04,)] [eta: 12:09:39, time (data): 0.639 (0.000)] l1_latent_opt: 8.3915e-01 +2025-10-29 07:58:44,938 INFO: [26..][epoch: 49, step: 59,900, lr:(2.000e-04,)] [eta: 12:08:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.4063e-01 +2025-10-29 07:59:48,800 INFO: [26..][epoch: 49, step: 60,000, lr:(2.000e-04,)] [eta: 12:07:17, time (data): 0.639 (0.000)] l1_latent_opt: 8.3692e-01 +2025-10-29 07:59:48,801 INFO: Saving models and training states. +2025-10-29 08:01:56,313 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8915 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2755 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.6725 Best: 26.6725 @ 60000 iter + +2025-10-29 08:03:03,605 INFO: [26..][epoch: 50, step: 60,100, lr:(2.000e-04,)] [eta: 12:08:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.3890e-01 +2025-10-29 08:04:07,581 INFO: [26..][epoch: 50, step: 60,200, lr:(2.000e-04,)] [eta: 12:07:17, time (data): 0.640 (0.000)] l1_latent_opt: 8.3969e-01 +2025-10-29 08:05:11,578 INFO: [26..][epoch: 50, step: 60,300, lr:(2.000e-04,)] [eta: 12:06:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3892e-01 +2025-10-29 08:06:16,037 INFO: [26..][epoch: 50, step: 60,400, lr:(2.000e-04,)] [eta: 12:04:56, time (data): 0.645 (0.000)] l1_latent_opt: 8.3692e-01 +2025-10-29 08:07:20,083 INFO: [26..][epoch: 50, step: 60,500, lr:(2.000e-04,)] [eta: 12:03:45, time (data): 0.643 (0.000)] l1_latent_opt: 8.3974e-01 +2025-10-29 08:08:24,100 INFO: [26..][epoch: 50, step: 60,600, lr:(2.000e-04,)] [eta: 12:02:34, time (data): 0.640 (0.000)] l1_latent_opt: 8.3794e-01 +2025-10-29 08:09:28,026 INFO: [26..][epoch: 50, step: 60,700, lr:(2.000e-04,)] [eta: 12:01:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.3768e-01 +2025-10-29 08:10:31,947 INFO: [26..][epoch: 50, step: 60,800, lr:(2.000e-04,)] [eta: 12:00:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3810e-01 +2025-10-29 08:11:35,869 INFO: [26..][epoch: 50, step: 60,900, lr:(2.000e-04,)] [eta: 11:59:01, time (data): 0.639 (0.000)] l1_latent_opt: 8.3783e-01 +2025-10-29 08:12:39,788 INFO: [26..][epoch: 50, step: 61,000, lr:(2.000e-04,)] [eta: 11:57:51, time (data): 0.639 (0.000)] l1_latent_opt: 8.3908e-01 +2025-10-29 08:13:43,783 INFO: [26..][epoch: 50, step: 61,100, lr:(2.000e-04,)] [eta: 11:56:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.3909e-01 +2025-10-29 08:14:47,609 INFO: [26..][epoch: 50, step: 61,200, lr:(2.000e-04,)] [eta: 11:55:29, time (data): 0.638 (0.000)] l1_latent_opt: 8.3730e-01 +2025-10-29 08:15:54,578 INFO: [26..][epoch: 51, step: 61,300, lr:(2.000e-04,)] [eta: 11:54:21, time (data): 0.654 (0.011)] l1_latent_opt: 8.3937e-01 +2025-10-29 08:16:58,550 INFO: [26..][epoch: 51, step: 61,400, lr:(2.000e-04,)] [eta: 11:53:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.3904e-01 +2025-10-29 08:18:02,485 INFO: [26..][epoch: 51, step: 61,500, lr:(2.000e-04,)] [eta: 11:52:00, time (data): 0.640 (0.000)] l1_latent_opt: 8.3908e-01 +2025-10-29 08:19:06,435 INFO: [26..][epoch: 51, step: 61,600, lr:(2.000e-04,)] [eta: 11:50:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3869e-01 +2025-10-29 08:20:10,516 INFO: [26..][epoch: 51, step: 61,700, lr:(2.000e-04,)] [eta: 11:49:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.3952e-01 +2025-10-29 08:21:14,480 INFO: [26..][epoch: 51, step: 61,800, lr:(2.000e-04,)] [eta: 11:48:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.3766e-01 +2025-10-29 08:22:18,433 INFO: [26..][epoch: 51, step: 61,900, lr:(2.000e-04,)] [eta: 11:47:17, time (data): 0.640 (0.000)] l1_latent_opt: 8.3854e-01 +2025-10-29 08:23:22,351 INFO: [26..][epoch: 51, step: 62,000, lr:(2.000e-04,)] [eta: 11:46:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3828e-01 +2025-10-29 08:24:26,338 INFO: [26..][epoch: 51, step: 62,100, lr:(2.000e-04,)] [eta: 11:44:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.3720e-01 +2025-10-29 08:25:30,283 INFO: [26..][epoch: 51, step: 62,200, lr:(2.000e-04,)] [eta: 11:43:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.3931e-01 +2025-10-29 08:26:34,209 INFO: [26..][epoch: 51, step: 62,300, lr:(2.000e-04,)] [eta: 11:42:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.3887e-01 +2025-10-29 08:27:38,047 INFO: [26..][epoch: 51, step: 62,400, lr:(2.000e-04,)] [eta: 11:41:24, time (data): 0.638 (0.000)] l1_latent_opt: 8.3838e-01 +2025-10-29 08:28:45,705 INFO: [26..][epoch: 52, step: 62,500, lr:(2.000e-04,)] [eta: 11:40:18, time (data): 0.658 (0.014)] l1_latent_opt: 8.3731e-01 +2025-10-29 08:29:49,674 INFO: [26..][epoch: 52, step: 62,600, lr:(1.000e-04,)] [eta: 11:39:07, time (data): 0.640 (0.000)] l1_latent_opt: 8.3456e-01 +2025-10-29 08:31:00,012 INFO: [26..][epoch: 52, step: 62,700, lr:(1.000e-04,)] [eta: 11:38:03, time (data): 0.673 (0.000)] l1_latent_opt: 8.3815e-01 +2025-10-29 08:32:03,951 INFO: [26..][epoch: 52, step: 62,800, lr:(1.000e-04,)] [eta: 11:36:52, time (data): 0.639 (0.000)] l1_latent_opt: 8.3672e-01 +2025-10-29 08:33:07,907 INFO: [26..][epoch: 52, step: 62,900, lr:(1.000e-04,)] [eta: 11:35:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.3714e-01 +2025-10-29 08:34:11,849 INFO: [26..][epoch: 52, step: 63,000, lr:(1.000e-04,)] [eta: 11:34:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3746e-01 +2025-10-29 08:35:15,822 INFO: [26..][epoch: 52, step: 63,100, lr:(1.000e-04,)] [eta: 11:33:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3793e-01 +2025-10-29 08:36:19,773 INFO: [26..][epoch: 52, step: 63,200, lr:(1.000e-04,)] [eta: 11:32:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.3760e-01 +2025-10-29 08:37:23,709 INFO: [26..][epoch: 52, step: 63,300, lr:(1.000e-04,)] [eta: 11:31:00, time (data): 0.639 (0.000)] l1_latent_opt: 8.3627e-01 +2025-10-29 08:38:27,652 INFO: [26..][epoch: 52, step: 63,400, lr:(1.000e-04,)] [eta: 11:29:50, time (data): 0.639 (0.000)] l1_latent_opt: 8.3794e-01 +2025-10-29 08:39:31,577 INFO: [26..][epoch: 52, step: 63,500, lr:(1.000e-04,)] [eta: 11:28:40, time (data): 0.639 (0.000)] l1_latent_opt: 8.3609e-01 +2025-10-29 08:40:35,431 INFO: [26..][epoch: 52, step: 63,600, lr:(1.000e-04,)] [eta: 11:27:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.3796e-01 +2025-10-29 08:41:44,072 INFO: [26..][epoch: 53, step: 63,700, lr:(1.000e-04,)] [eta: 11:26:23, time (data): 0.665 (0.026)] l1_latent_opt: 8.3670e-01 +2025-10-29 08:42:47,987 INFO: [26..][epoch: 53, step: 63,800, lr:(1.000e-04,)] [eta: 11:25:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.3683e-01 +2025-10-29 08:43:51,922 INFO: [26..][epoch: 53, step: 63,900, lr:(1.000e-04,)] [eta: 11:24:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.3399e-01 +2025-10-29 08:44:55,856 INFO: [26..][epoch: 53, step: 64,000, lr:(1.000e-04,)] [eta: 11:22:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.3538e-01 +2025-10-29 08:45:59,788 INFO: [26..][epoch: 53, step: 64,100, lr:(1.000e-04,)] [eta: 11:21:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.3637e-01 +2025-10-29 08:47:03,756 INFO: [26..][epoch: 53, step: 64,200, lr:(1.000e-04,)] [eta: 11:20:32, time (data): 0.640 (0.000)] l1_latent_opt: 8.3622e-01 +2025-10-29 08:48:07,676 INFO: [26..][epoch: 53, step: 64,300, lr:(1.000e-04,)] [eta: 11:19:22, time (data): 0.639 (0.000)] l1_latent_opt: 8.3710e-01 +2025-10-29 08:49:11,605 INFO: [26..][epoch: 53, step: 64,400, lr:(1.000e-04,)] [eta: 11:18:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3541e-01 +2025-10-29 08:50:15,546 INFO: [26..][epoch: 53, step: 64,500, lr:(1.000e-04,)] [eta: 11:17:02, time (data): 0.639 (0.000)] l1_latent_opt: 8.3697e-01 +2025-10-29 08:51:19,637 INFO: [26..][epoch: 53, step: 64,600, lr:(1.000e-04,)] [eta: 11:15:52, time (data): 0.641 (0.000)] l1_latent_opt: 8.3797e-01 +2025-10-29 08:52:23,554 INFO: [26..][epoch: 53, step: 64,700, lr:(1.000e-04,)] [eta: 11:14:41, time (data): 0.640 (0.000)] l1_latent_opt: 8.3782e-01 +2025-10-29 08:53:27,391 INFO: [26..][epoch: 53, step: 64,800, lr:(1.000e-04,)] [eta: 11:13:31, time (data): 0.638 (0.000)] l1_latent_opt: 8.3796e-01 +2025-10-29 08:54:35,617 INFO: [26..][epoch: 54, step: 64,900, lr:(1.000e-04,)] [eta: 11:12:25, time (data): 0.663 (0.010)] l1_latent_opt: 8.3683e-01 +2025-10-29 08:55:39,301 INFO: [26..][epoch: 54, step: 65,000, lr:(1.000e-04,)] [eta: 11:11:15, time (data): 0.637 (0.000)] l1_latent_opt: 8.3737e-01 +2025-10-29 08:55:39,302 INFO: Saving models and training states. +2025-10-29 08:57:48,091 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8901 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2712 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7071 Best: 26.7071 @ 65000 iter + +2025-10-29 08:58:52,022 INFO: [26..][epoch: 54, step: 65,100, lr:(1.000e-04,)] [eta: 11:12:03, time (data): 0.638 (0.000)] l1_latent_opt: 8.3621e-01 +2025-10-29 08:59:55,967 INFO: [26..][epoch: 54, step: 65,200, lr:(1.000e-04,)] [eta: 11:10:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.3665e-01 +2025-10-29 09:00:59,907 INFO: [26..][epoch: 54, step: 65,300, lr:(1.000e-04,)] [eta: 11:09:42, time (data): 0.639 (0.000)] l1_latent_opt: 8.3632e-01 +2025-10-29 09:02:03,854 INFO: [26..][epoch: 54, step: 65,400, lr:(1.000e-04,)] [eta: 11:08:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3574e-01 +2025-10-29 09:03:07,812 INFO: [26..][epoch: 54, step: 65,500, lr:(1.000e-04,)] [eta: 11:07:22, time (data): 0.640 (0.000)] l1_latent_opt: 8.3502e-01 +2025-10-29 09:04:11,784 INFO: [26..][epoch: 54, step: 65,600, lr:(1.000e-04,)] [eta: 11:06:11, time (data): 0.640 (0.000)] l1_latent_opt: 8.3452e-01 +2025-10-29 09:05:15,773 INFO: [26..][epoch: 54, step: 65,700, lr:(1.000e-04,)] [eta: 11:05:01, time (data): 0.640 (0.000)] l1_latent_opt: 8.3497e-01 +2025-10-29 09:06:19,824 INFO: [26..][epoch: 54, step: 65,800, lr:(1.000e-04,)] [eta: 11:03:51, time (data): 0.641 (0.000)] l1_latent_opt: 8.3800e-01 +2025-10-29 09:07:23,877 INFO: [26..][epoch: 54, step: 65,900, lr:(1.000e-04,)] [eta: 11:02:41, time (data): 0.641 (0.000)] l1_latent_opt: 8.3642e-01 +2025-10-29 09:08:27,780 INFO: [26..][epoch: 54, step: 66,000, lr:(1.000e-04,)] [eta: 11:01:30, time (data): 0.639 (0.000)] l1_latent_opt: 8.3687e-01 +2025-10-29 09:09:38,868 INFO: [26..][epoch: 55, step: 66,100, lr:(1.000e-04,)] [eta: 11:00:27, time (data): 0.681 (0.008)] l1_latent_opt: 8.3654e-01 +2025-10-29 09:10:42,842 INFO: [26..][epoch: 55, step: 66,200, lr:(1.000e-04,)] [eta: 10:59:16, time (data): 0.639 (0.000)] l1_latent_opt: 8.3589e-01 +2025-10-29 09:11:46,774 INFO: [26..][epoch: 55, step: 66,300, lr:(1.000e-04,)] [eta: 10:58:06, time (data): 0.639 (0.000)] l1_latent_opt: 8.3569e-01 +2025-10-29 09:12:50,706 INFO: [26..][epoch: 55, step: 66,400, lr:(1.000e-04,)] [eta: 10:56:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.3626e-01 +2025-10-29 09:13:54,659 INFO: [26..][epoch: 55, step: 66,500, lr:(1.000e-04,)] [eta: 10:55:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.3758e-01 +2025-10-29 09:14:58,590 INFO: [26..][epoch: 55, step: 66,600, lr:(1.000e-04,)] [eta: 10:54:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.3742e-01 +2025-10-29 09:16:02,550 INFO: [26..][epoch: 55, step: 66,700, lr:(1.000e-04,)] [eta: 10:53:25, time (data): 0.639 (0.000)] l1_latent_opt: 8.3465e-01 +2025-10-29 09:17:06,722 INFO: [26..][epoch: 55, step: 66,800, lr:(1.000e-04,)] [eta: 10:52:15, time (data): 0.640 (0.000)] l1_latent_opt: 8.3671e-01 +2025-10-29 09:18:10,698 INFO: [26..][epoch: 55, step: 66,900, lr:(1.000e-04,)] [eta: 10:51:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.3616e-01 +2025-10-29 09:19:14,673 INFO: [26..][epoch: 55, step: 67,000, lr:(1.000e-04,)] [eta: 10:49:55, time (data): 0.640 (0.000)] l1_latent_opt: 8.3633e-01 +2025-10-29 09:20:18,651 INFO: [26..][epoch: 55, step: 67,100, lr:(1.000e-04,)] [eta: 10:48:45, time (data): 0.640 (0.000)] l1_latent_opt: 8.3894e-01 +2025-10-29 09:21:22,494 INFO: [26..][epoch: 55, step: 67,200, lr:(1.000e-04,)] [eta: 10:47:35, time (data): 0.638 (0.000)] l1_latent_opt: 8.3706e-01 +2025-10-29 09:22:31,087 INFO: [26..][epoch: 56, step: 67,300, lr:(1.000e-04,)] [eta: 10:46:29, time (data): 0.667 (0.014)] l1_latent_opt: 8.3651e-01 +2025-10-29 09:23:35,062 INFO: [26..][epoch: 56, step: 67,400, lr:(1.000e-04,)] [eta: 10:45:19, time (data): 0.640 (0.000)] l1_latent_opt: 8.3592e-01 +2025-10-29 09:24:39,019 INFO: [26..][epoch: 56, step: 67,500, lr:(1.000e-04,)] [eta: 10:44:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.3594e-01 +2025-10-29 09:25:43,013 INFO: [26..][epoch: 56, step: 67,600, lr:(1.000e-04,)] [eta: 10:42:59, time (data): 0.640 (0.000)] l1_latent_opt: 8.3796e-01 +2025-10-29 09:26:46,966 INFO: [26..][epoch: 56, step: 67,700, lr:(1.000e-04,)] [eta: 10:41:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3770e-01 +2025-10-29 09:27:50,927 INFO: [26..][epoch: 56, step: 67,800, lr:(1.000e-04,)] [eta: 10:40:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.3566e-01 +2025-10-29 09:28:54,864 INFO: [26..][epoch: 56, step: 67,900, lr:(1.000e-04,)] [eta: 10:39:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.3576e-01 +2025-10-29 09:29:58,801 INFO: [26..][epoch: 56, step: 68,000, lr:(1.000e-04,)] [eta: 10:38:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.3574e-01 +2025-10-29 09:31:02,746 INFO: [26..][epoch: 56, step: 68,100, lr:(1.000e-04,)] [eta: 10:37:09, time (data): 0.639 (0.000)] l1_latent_opt: 8.3544e-01 +2025-10-29 09:32:06,687 INFO: [26..][epoch: 56, step: 68,200, lr:(1.000e-04,)] [eta: 10:35:59, time (data): 0.639 (0.000)] l1_latent_opt: 8.3602e-01 +2025-10-29 09:33:10,631 INFO: [26..][epoch: 56, step: 68,300, lr:(1.000e-04,)] [eta: 10:34:50, time (data): 0.639 (0.000)] l1_latent_opt: 8.3559e-01 +2025-10-29 09:34:14,684 INFO: [26..][epoch: 56, step: 68,400, lr:(1.000e-04,)] [eta: 10:33:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.3491e-01 +2025-10-29 09:35:23,365 INFO: [26..][epoch: 57, step: 68,500, lr:(1.000e-04,)] [eta: 10:32:34, time (data): 0.669 (0.028)] l1_latent_opt: 8.3478e-01 +2025-10-29 09:36:27,311 INFO: [26..][epoch: 57, step: 68,600, lr:(1.000e-04,)] [eta: 10:31:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.3505e-01 +2025-10-29 09:37:31,231 INFO: [26..][epoch: 57, step: 68,700, lr:(1.000e-04,)] [eta: 10:30:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3548e-01 +2025-10-29 09:38:35,159 INFO: [26..][epoch: 57, step: 68,800, lr:(1.000e-04,)] [eta: 10:29:04, time (data): 0.639 (0.000)] l1_latent_opt: 8.3885e-01 +2025-10-29 09:39:39,103 INFO: [26..][epoch: 57, step: 68,900, lr:(1.000e-04,)] [eta: 10:27:55, time (data): 0.639 (0.000)] l1_latent_opt: 8.3557e-01 +2025-10-29 09:40:43,046 INFO: [26..][epoch: 57, step: 69,000, lr:(1.000e-04,)] [eta: 10:26:45, time (data): 0.639 (0.000)] l1_latent_opt: 8.3604e-01 +2025-10-29 09:41:46,972 INFO: [26..][epoch: 57, step: 69,100, lr:(1.000e-04,)] [eta: 10:25:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.3474e-01 +2025-10-29 09:42:50,933 INFO: [26..][epoch: 57, step: 69,200, lr:(1.000e-04,)] [eta: 10:24:25, time (data): 0.640 (0.000)] l1_latent_opt: 8.3600e-01 +2025-10-29 09:43:54,892 INFO: [26..][epoch: 57, step: 69,300, lr:(1.000e-04,)] [eta: 10:23:16, time (data): 0.640 (0.000)] l1_latent_opt: 8.3666e-01 +2025-10-29 09:44:58,831 INFO: [26..][epoch: 57, step: 69,400, lr:(1.000e-04,)] [eta: 10:22:06, time (data): 0.639 (0.000)] l1_latent_opt: 8.3499e-01 +2025-10-29 09:46:02,796 INFO: [26..][epoch: 57, step: 69,500, lr:(1.000e-04,)] [eta: 10:20:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.3603e-01 +2025-10-29 09:47:06,634 INFO: [26..][epoch: 57, step: 69,600, lr:(1.000e-04,)] [eta: 10:19:47, time (data): 0.638 (0.000)] l1_latent_opt: 8.3681e-01 +2025-10-29 09:48:14,760 INFO: [26..][epoch: 58, step: 69,700, lr:(1.000e-04,)] [eta: 10:18:40, time (data): 0.666 (0.027)] l1_latent_opt: 8.3655e-01 +2025-10-29 09:49:18,834 INFO: [26..][epoch: 58, step: 69,800, lr:(1.000e-04,)] [eta: 10:17:31, time (data): 0.641 (0.000)] l1_latent_opt: 8.3427e-01 +2025-10-29 09:50:22,920 INFO: [26..][epoch: 58, step: 69,900, lr:(1.000e-04,)] [eta: 10:16:21, time (data): 0.641 (0.000)] l1_latent_opt: 8.3641e-01 +2025-10-29 09:51:26,914 INFO: [26..][epoch: 58, step: 70,000, lr:(1.000e-04,)] [eta: 10:15:12, time (data): 0.640 (0.000)] l1_latent_opt: 8.3762e-01 +2025-10-29 09:51:26,916 INFO: Saving models and training states. +2025-10-29 09:53:35,166 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8898 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2703 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7191 Best: 26.7191 @ 70000 iter + +2025-10-29 09:54:39,174 INFO: [26..][epoch: 58, step: 70,100, lr:(1.000e-04,)] [eta: 10:15:43, time (data): 0.640 (0.000)] l1_latent_opt: 8.3617e-01 +2025-10-29 09:55:43,185 INFO: [26..][epoch: 58, step: 70,200, lr:(1.000e-04,)] [eta: 10:14:33, time (data): 0.640 (0.000)] l1_latent_opt: 8.3651e-01 +2025-10-29 09:56:47,255 INFO: [26..][epoch: 58, step: 70,300, lr:(1.000e-04,)] [eta: 10:13:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.3563e-01 +2025-10-29 09:57:51,641 INFO: [26..][epoch: 58, step: 70,400, lr:(1.000e-04,)] [eta: 10:12:13, time (data): 0.642 (0.000)] l1_latent_opt: 8.3693e-01 +2025-10-29 09:58:55,593 INFO: [26..][epoch: 58, step: 70,500, lr:(1.000e-04,)] [eta: 10:11:03, time (data): 0.640 (0.000)] l1_latent_opt: 8.3506e-01 +2025-10-29 09:59:59,563 INFO: [26..][epoch: 58, step: 70,600, lr:(1.000e-04,)] [eta: 10:09:54, time (data): 0.640 (0.000)] l1_latent_opt: 8.3536e-01 +2025-10-29 10:01:03,632 INFO: [26..][epoch: 58, step: 70,700, lr:(1.000e-04,)] [eta: 10:08:44, time (data): 0.640 (0.000)] l1_latent_opt: 8.3760e-01 +2025-10-29 10:02:07,569 INFO: [26..][epoch: 58, step: 70,800, lr:(1.000e-04,)] [eta: 10:07:34, time (data): 0.639 (0.000)] l1_latent_opt: 8.3565e-01 +2025-10-29 10:03:15,615 INFO: [26..][epoch: 59, step: 70,900, lr:(1.000e-04,)] [eta: 10:06:27, time (data): 0.667 (0.027)] l1_latent_opt: 8.3560e-01 +2025-10-29 10:04:19,603 INFO: [26..][epoch: 59, step: 71,000, lr:(1.000e-04,)] [eta: 10:05:18, time (data): 0.640 (0.000)] l1_latent_opt: 8.3568e-01 +2025-10-29 10:05:23,557 INFO: [26..][epoch: 59, step: 71,100, lr:(1.000e-04,)] [eta: 10:04:08, time (data): 0.640 (0.000)] l1_latent_opt: 8.3692e-01 +2025-10-29 10:06:27,506 INFO: [26..][epoch: 59, step: 71,200, lr:(1.000e-04,)] [eta: 10:02:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.3378e-01 +2025-10-29 10:07:31,444 INFO: [26..][epoch: 59, step: 71,300, lr:(1.000e-04,)] [eta: 10:01:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.3584e-01 +2025-10-29 10:08:35,398 INFO: [26..][epoch: 59, step: 71,400, lr:(1.000e-04,)] [eta: 10:00:39, time (data): 0.639 (0.000)] l1_latent_opt: 8.3793e-01 +2025-10-29 10:09:39,362 INFO: [26..][epoch: 59, step: 71,500, lr:(1.000e-04,)] [eta: 9:59:29, time (data): 0.640 (0.000)] l1_latent_opt: 8.3791e-01 +2025-10-29 10:10:43,301 INFO: [26..][epoch: 59, step: 71,600, lr:(1.000e-04,)] [eta: 9:58:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.3722e-01 +2025-10-29 10:11:47,302 INFO: [26..][epoch: 59, step: 71,700, lr:(1.000e-04,)] [eta: 9:57:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.3795e-01 +2025-10-29 10:12:51,324 INFO: [26..][epoch: 59, step: 71,800, lr:(1.000e-04,)] [eta: 9:56:00, time (data): 0.639 (0.000)] l1_latent_opt: 8.3403e-01 +2025-10-29 10:13:55,270 INFO: [26..][epoch: 59, step: 71,900, lr:(1.000e-04,)] [eta: 9:54:50, time (data): 0.639 (0.000)] l1_latent_opt: 8.3625e-01 +2025-10-29 10:14:59,102 INFO: [26..][epoch: 59, step: 72,000, lr:(1.000e-04,)] [eta: 9:53:41, time (data): 0.638 (0.000)] l1_latent_opt: 8.3546e-01 +2025-10-29 10:16:07,066 INFO: [26..][epoch: 60, step: 72,100, lr:(1.000e-04,)] [eta: 9:52:34, time (data): 0.667 (0.028)] l1_latent_opt: 8.3634e-01 +2025-10-29 10:17:10,996 INFO: [26..][epoch: 60, step: 72,200, lr:(1.000e-04,)] [eta: 9:51:25, time (data): 0.639 (0.000)] l1_latent_opt: 8.3465e-01 +2025-10-29 10:18:14,953 INFO: [26..][epoch: 60, step: 72,300, lr:(1.000e-04,)] [eta: 9:50:15, time (data): 0.639 (0.000)] l1_latent_opt: 8.3602e-01 +2025-10-29 10:19:18,923 INFO: [26..][epoch: 60, step: 72,400, lr:(1.000e-04,)] [eta: 9:49:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.3740e-01 +2025-10-29 10:20:22,876 INFO: [26..][epoch: 60, step: 72,500, lr:(1.000e-04,)] [eta: 9:47:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.3484e-01 +2025-10-29 10:21:26,811 INFO: [26..][epoch: 60, step: 72,600, lr:(1.000e-04,)] [eta: 9:46:46, time (data): 0.639 (0.000)] l1_latent_opt: 8.3634e-01 +2025-10-29 10:22:30,784 INFO: [26..][epoch: 60, step: 72,700, lr:(1.000e-04,)] [eta: 9:45:37, time (data): 0.640 (0.000)] l1_latent_opt: 8.3835e-01 +2025-10-29 10:23:34,782 INFO: [26..][epoch: 60, step: 72,800, lr:(1.000e-04,)] [eta: 9:44:27, time (data): 0.639 (0.000)] l1_latent_opt: 8.3488e-01 +2025-10-29 10:24:38,722 INFO: [26..][epoch: 60, step: 72,900, lr:(1.000e-04,)] [eta: 9:43:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.3540e-01 +2025-10-29 10:25:42,680 INFO: [26..][epoch: 60, step: 73,000, lr:(1.000e-04,)] [eta: 9:42:08, time (data): 0.640 (0.000)] l1_latent_opt: 8.3740e-01 +2025-10-29 10:26:46,621 INFO: [26..][epoch: 60, step: 73,100, lr:(1.000e-04,)] [eta: 9:40:59, time (data): 0.639 (0.000)] l1_latent_opt: 8.3607e-01 +2025-10-29 10:27:50,461 INFO: [26..][epoch: 60, step: 73,200, lr:(1.000e-04,)] [eta: 9:39:49, time (data): 0.638 (0.000)] l1_latent_opt: 8.3558e-01 +2025-10-29 10:28:59,144 INFO: [26..][epoch: 61, step: 73,300, lr:(1.000e-04,)] [eta: 9:38:43, time (data): 0.674 (0.030)] l1_latent_opt: 8.3495e-01 +2025-10-29 10:30:03,099 INFO: [26..][epoch: 61, step: 73,400, lr:(1.000e-04,)] [eta: 9:37:34, time (data): 0.640 (0.000)] l1_latent_opt: 8.3615e-01 +2025-10-29 10:31:07,055 INFO: [26..][epoch: 61, step: 73,500, lr:(1.000e-04,)] [eta: 9:36:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.3458e-01 +2025-10-29 10:32:11,173 INFO: [26..][epoch: 61, step: 73,600, lr:(1.000e-04,)] [eta: 9:35:15, time (data): 0.640 (0.000)] l1_latent_opt: 8.3509e-01 +2025-10-29 10:33:15,148 INFO: [26..][epoch: 61, step: 73,700, lr:(1.000e-04,)] [eta: 9:34:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3563e-01 +2025-10-29 10:34:19,125 INFO: [26..][epoch: 61, step: 73,800, lr:(1.000e-04,)] [eta: 9:32:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.3516e-01 +2025-10-29 10:35:23,080 INFO: [26..][epoch: 61, step: 73,900, lr:(1.000e-04,)] [eta: 9:31:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.3567e-01 +2025-10-29 10:36:27,018 INFO: [26..][epoch: 61, step: 74,000, lr:(1.000e-04,)] [eta: 9:30:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.3663e-01 +2025-10-29 10:37:30,957 INFO: [26..][epoch: 61, step: 74,100, lr:(1.000e-04,)] [eta: 9:29:28, time (data): 0.639 (0.000)] l1_latent_opt: 8.3734e-01 +2025-10-29 10:38:34,897 INFO: [26..][epoch: 61, step: 74,200, lr:(1.000e-04,)] [eta: 9:28:19, time (data): 0.639 (0.000)] l1_latent_opt: 8.3641e-01 +2025-10-29 10:39:38,819 INFO: [26..][epoch: 61, step: 74,300, lr:(1.000e-04,)] [eta: 9:27:10, time (data): 0.639 (0.000)] l1_latent_opt: 8.3441e-01 +2025-10-29 10:40:42,659 INFO: [26..][epoch: 61, step: 74,400, lr:(1.000e-04,)] [eta: 9:26:00, time (data): 0.638 (0.000)] l1_latent_opt: 8.3484e-01 +2025-10-29 10:41:50,985 INFO: [26..][epoch: 62, step: 74,500, lr:(1.000e-04,)] [eta: 9:24:54, time (data): 0.673 (0.017)] l1_latent_opt: 8.3702e-01 +2025-10-29 10:42:55,107 INFO: [26..][epoch: 62, step: 74,600, lr:(1.000e-04,)] [eta: 9:23:45, time (data): 0.639 (0.000)] l1_latent_opt: 8.3465e-01 +2025-10-29 10:43:59,057 INFO: [26..][epoch: 62, step: 74,700, lr:(1.000e-04,)] [eta: 9:22:36, time (data): 0.639 (0.000)] l1_latent_opt: 8.3695e-01 +2025-10-29 10:45:03,007 INFO: [26..][epoch: 62, step: 74,800, lr:(1.000e-04,)] [eta: 9:21:27, time (data): 0.640 (0.000)] l1_latent_opt: 8.3721e-01 +2025-10-29 10:46:06,953 INFO: [26..][epoch: 62, step: 74,900, lr:(1.000e-04,)] [eta: 9:20:17, time (data): 0.640 (0.000)] l1_latent_opt: 8.3637e-01 +2025-10-29 10:47:10,886 INFO: [26..][epoch: 62, step: 75,000, lr:(1.000e-04,)] [eta: 9:19:08, time (data): 0.639 (0.000)] l1_latent_opt: 8.3622e-01 +2025-10-29 10:47:10,887 INFO: Saving models and training states. +2025-10-29 10:49:19,130 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8899 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2705 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7229 Best: 26.7229 @ 75000 iter + +2025-10-29 10:50:23,093 INFO: [26..][epoch: 62, step: 75,100, lr:(1.000e-04,)] [eta: 9:19:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.3544e-01 +2025-10-29 10:51:27,090 INFO: [26..][epoch: 62, step: 75,200, lr:(1.000e-04,)] [eta: 9:18:15, time (data): 0.640 (0.000)] l1_latent_opt: 8.3745e-01 +2025-10-29 10:52:31,075 INFO: [26..][epoch: 62, step: 75,300, lr:(1.000e-04,)] [eta: 9:17:05, time (data): 0.640 (0.000)] l1_latent_opt: 8.3594e-01 +2025-10-29 10:53:35,065 INFO: [26..][epoch: 62, step: 75,400, lr:(1.000e-04,)] [eta: 9:15:56, time (data): 0.640 (0.000)] l1_latent_opt: 8.3511e-01 +2025-10-29 10:54:39,040 INFO: [26..][epoch: 62, step: 75,500, lr:(1.000e-04,)] [eta: 9:14:46, time (data): 0.640 (0.000)] l1_latent_opt: 8.3759e-01 +2025-10-29 10:55:42,877 INFO: [26..][epoch: 62, step: 75,600, lr:(1.000e-04,)] [eta: 9:13:37, time (data): 0.638 (0.000)] l1_latent_opt: 8.3494e-01 +2025-10-29 10:56:51,915 INFO: [26..][epoch: 63, step: 75,700, lr:(1.000e-04,)] [eta: 9:12:31, time (data): 0.680 (0.041)] l1_latent_opt: 8.3791e-01 +2025-10-29 10:57:55,867 INFO: [26..][epoch: 63, step: 75,800, lr:(1.000e-04,)] [eta: 9:11:22, time (data): 0.639 (0.000)] l1_latent_opt: 8.3412e-01 +2025-10-29 10:58:59,813 INFO: [26..][epoch: 63, step: 75,900, lr:(1.000e-04,)] [eta: 9:10:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3571e-01 +2025-10-29 11:00:03,738 INFO: [26..][epoch: 63, step: 76,000, lr:(1.000e-04,)] [eta: 9:09:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.3541e-01 +2025-10-29 11:01:07,676 INFO: [26..][epoch: 63, step: 76,100, lr:(1.000e-04,)] [eta: 9:07:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.3460e-01 +2025-10-29 11:02:11,830 INFO: [26..][epoch: 63, step: 76,200, lr:(1.000e-04,)] [eta: 9:06:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.3542e-01 +2025-10-29 11:03:15,856 INFO: [26..][epoch: 63, step: 76,300, lr:(1.000e-04,)] [eta: 9:05:35, time (data): 0.640 (0.000)] l1_latent_opt: 8.3692e-01 +2025-10-29 11:04:19,818 INFO: [26..][epoch: 63, step: 76,400, lr:(1.000e-04,)] [eta: 9:04:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.3410e-01 +2025-10-29 11:05:23,755 INFO: [26..][epoch: 63, step: 76,500, lr:(1.000e-04,)] [eta: 9:03:16, time (data): 0.639 (0.000)] l1_latent_opt: 8.3458e-01 +2025-10-29 11:06:27,686 INFO: [26..][epoch: 63, step: 76,600, lr:(1.000e-04,)] [eta: 9:02:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3640e-01 +2025-10-29 11:07:31,647 INFO: [26..][epoch: 63, step: 76,700, lr:(1.000e-04,)] [eta: 9:00:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.3543e-01 +2025-10-29 11:08:35,493 INFO: [26..][epoch: 63, step: 76,800, lr:(1.000e-04,)] [eta: 8:59:49, time (data): 0.638 (0.000)] l1_latent_opt: 8.3750e-01 +2025-10-29 11:09:43,819 INFO: [26..][epoch: 64, step: 76,900, lr:(1.000e-04,)] [eta: 8:58:42, time (data): 0.676 (0.032)] l1_latent_opt: 8.3384e-01 +2025-10-29 11:10:47,790 INFO: [26..][epoch: 64, step: 77,000, lr:(1.000e-04,)] [eta: 8:57:33, time (data): 0.639 (0.000)] l1_latent_opt: 8.3561e-01 +2025-10-29 11:11:51,739 INFO: [26..][epoch: 64, step: 77,100, lr:(1.000e-04,)] [eta: 8:56:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.3733e-01 +2025-10-29 11:12:55,704 INFO: [26..][epoch: 64, step: 77,200, lr:(1.000e-04,)] [eta: 8:55:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3551e-01 +2025-10-29 11:13:59,655 INFO: [26..][epoch: 64, step: 77,300, lr:(1.000e-04,)] [eta: 8:54:05, time (data): 0.639 (0.000)] l1_latent_opt: 8.3535e-01 +2025-10-29 11:15:03,631 INFO: [26..][epoch: 64, step: 77,400, lr:(1.000e-04,)] [eta: 8:52:56, time (data): 0.641 (0.000)] l1_latent_opt: 8.3658e-01 +2025-10-29 11:16:07,569 INFO: [26..][epoch: 64, step: 77,500, lr:(1.000e-04,)] [eta: 8:51:47, time (data): 0.640 (0.000)] l1_latent_opt: 8.3727e-01 +2025-10-29 11:17:11,501 INFO: [26..][epoch: 64, step: 77,600, lr:(1.000e-04,)] [eta: 8:50:38, time (data): 0.639 (0.000)] l1_latent_opt: 8.3557e-01 +2025-10-29 11:18:15,428 INFO: [26..][epoch: 64, step: 77,700, lr:(1.000e-04,)] [eta: 8:49:29, time (data): 0.639 (0.000)] l1_latent_opt: 8.3928e-01 +2025-10-29 11:19:19,423 INFO: [26..][epoch: 64, step: 77,800, lr:(1.000e-04,)] [eta: 8:48:20, time (data): 0.639 (0.000)] l1_latent_opt: 8.3624e-01 +2025-10-29 11:20:23,403 INFO: [26..][epoch: 64, step: 77,900, lr:(1.000e-04,)] [eta: 8:47:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.3596e-01 +2025-10-29 11:21:27,249 INFO: [26..][epoch: 64, step: 78,000, lr:(1.000e-04,)] [eta: 8:46:01, time (data): 0.638 (0.000)] l1_latent_opt: 8.3566e-01 +2025-10-29 11:22:38,030 INFO: [26..][epoch: 65, step: 78,100, lr:(1.000e-04,)] [eta: 8:44:56, time (data): 0.700 (0.061)] l1_latent_opt: 8.3638e-01 +2025-10-29 11:23:48,453 INFO: [26..][epoch: 65, step: 78,200, lr:(1.000e-04,)] [eta: 8:43:51, time (data): 0.639 (0.000)] l1_latent_opt: 8.3504e-01 +2025-10-29 11:24:52,453 INFO: [26..][epoch: 65, step: 78,300, lr:(1.000e-04,)] [eta: 8:42:42, time (data): 0.640 (0.000)] l1_latent_opt: 8.3500e-01 +2025-10-29 11:25:56,446 INFO: [26..][epoch: 65, step: 78,400, lr:(1.000e-04,)] [eta: 8:41:33, time (data): 0.640 (0.000)] l1_latent_opt: 8.3501e-01 +2025-10-29 11:27:00,400 INFO: [26..][epoch: 65, step: 78,500, lr:(1.000e-04,)] [eta: 8:40:24, time (data): 0.640 (0.000)] l1_latent_opt: 8.3610e-01 +2025-10-29 11:28:04,377 INFO: [26..][epoch: 65, step: 78,600, lr:(1.000e-04,)] [eta: 8:39:15, time (data): 0.639 (0.000)] l1_latent_opt: 8.3706e-01 +2025-10-29 11:29:08,574 INFO: [26..][epoch: 65, step: 78,700, lr:(1.000e-04,)] [eta: 8:38:06, time (data): 0.642 (0.000)] l1_latent_opt: 8.3626e-01 +2025-10-29 11:30:12,514 INFO: [26..][epoch: 65, step: 78,800, lr:(1.000e-04,)] [eta: 8:36:57, time (data): 0.639 (0.000)] l1_latent_opt: 8.3493e-01 +2025-10-29 11:31:16,480 INFO: [26..][epoch: 65, step: 78,900, lr:(1.000e-04,)] [eta: 8:35:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.3554e-01 +2025-10-29 11:32:20,456 INFO: [26..][epoch: 65, step: 79,000, lr:(1.000e-04,)] [eta: 8:34:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.3717e-01 +2025-10-29 11:33:24,730 INFO: [26..][epoch: 65, step: 79,100, lr:(1.000e-04,)] [eta: 8:33:30, time (data): 0.643 (0.000)] l1_latent_opt: 8.3570e-01 +2025-10-29 11:34:28,960 INFO: [26..][epoch: 65, step: 79,200, lr:(1.000e-04,)] [eta: 8:32:21, time (data): 0.646 (0.000)] l1_latent_opt: 8.3690e-01 +2025-10-29 11:35:37,369 INFO: [26..][epoch: 66, step: 79,300, lr:(1.000e-04,)] [eta: 8:31:15, time (data): 0.682 (0.042)] l1_latent_opt: 8.3467e-01 +2025-10-29 11:36:41,355 INFO: [26..][epoch: 66, step: 79,400, lr:(1.000e-04,)] [eta: 8:30:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3432e-01 +2025-10-29 11:37:45,285 INFO: [26..][epoch: 66, step: 79,500, lr:(1.000e-04,)] [eta: 8:28:57, time (data): 0.639 (0.000)] l1_latent_opt: 8.3528e-01 +2025-10-29 11:38:49,219 INFO: [26..][epoch: 66, step: 79,600, lr:(1.000e-04,)] [eta: 8:27:48, time (data): 0.639 (0.000)] l1_latent_opt: 8.3652e-01 +2025-10-29 11:39:53,152 INFO: [26..][epoch: 66, step: 79,700, lr:(1.000e-04,)] [eta: 8:26:39, time (data): 0.639 (0.000)] l1_latent_opt: 8.3588e-01 +2025-10-29 11:40:57,077 INFO: [26..][epoch: 66, step: 79,800, lr:(1.000e-04,)] [eta: 8:25:30, time (data): 0.640 (0.000)] l1_latent_opt: 8.3446e-01 +2025-10-29 11:42:01,033 INFO: [26..][epoch: 66, step: 79,900, lr:(1.000e-04,)] [eta: 8:24:22, time (data): 0.640 (0.000)] l1_latent_opt: 8.3568e-01 +2025-10-29 11:43:05,056 INFO: [26..][epoch: 66, step: 80,000, lr:(1.000e-04,)] [eta: 8:23:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.3733e-01 +2025-10-29 11:43:05,058 INFO: Saving models and training states. +2025-10-29 11:45:13,968 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8897 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2701 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7270 Best: 26.7270 @ 80000 iter + +2025-10-29 11:46:17,903 INFO: [26..][epoch: 66, step: 80,100, lr:(1.000e-04,)] [eta: 8:23:16, time (data): 0.639 (0.000)] l1_latent_opt: 8.3712e-01 +2025-10-29 11:47:21,836 INFO: [26..][epoch: 66, step: 80,200, lr:(1.000e-04,)] [eta: 8:22:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3581e-01 +2025-10-29 11:48:25,751 INFO: [26..][epoch: 66, step: 80,300, lr:(1.000e-04,)] [eta: 8:20:58, time (data): 0.639 (0.000)] l1_latent_opt: 8.3424e-01 +2025-10-29 11:49:29,600 INFO: [26..][epoch: 66, step: 80,400, lr:(1.000e-04,)] [eta: 8:19:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.3520e-01 +2025-10-29 11:50:37,093 INFO: [26..][epoch: 67, step: 80,500, lr:(1.000e-04,)] [eta: 8:18:42, time (data): 0.675 (0.035)] l1_latent_opt: 8.3559e-01 +2025-10-29 11:51:41,103 INFO: [26..][epoch: 67, step: 80,600, lr:(1.000e-04,)] [eta: 8:17:33, time (data): 0.657 (0.018)] l1_latent_opt: 8.3652e-01 +2025-10-29 11:52:45,045 INFO: [26..][epoch: 67, step: 80,700, lr:(1.000e-04,)] [eta: 8:16:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.3519e-01 +2025-10-29 11:53:48,983 INFO: [26..][epoch: 67, step: 80,800, lr:(1.000e-04,)] [eta: 8:15:15, time (data): 0.639 (0.000)] l1_latent_opt: 8.3639e-01 +2025-10-29 11:54:52,941 INFO: [26..][epoch: 67, step: 80,900, lr:(1.000e-04,)] [eta: 8:14:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3455e-01 +2025-10-29 11:55:56,882 INFO: [26..][epoch: 67, step: 81,000, lr:(1.000e-04,)] [eta: 8:12:57, time (data): 0.639 (0.000)] l1_latent_opt: 8.3566e-01 +2025-10-29 11:57:00,843 INFO: [26..][epoch: 67, step: 81,100, lr:(1.000e-04,)] [eta: 8:11:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.3715e-01 +2025-10-29 11:58:04,953 INFO: [26..][epoch: 67, step: 81,200, lr:(1.000e-04,)] [eta: 8:10:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.3811e-01 +2025-10-29 11:59:08,887 INFO: [26..][epoch: 67, step: 81,300, lr:(1.000e-04,)] [eta: 8:09:30, time (data): 0.639 (0.000)] l1_latent_opt: 8.3504e-01 +2025-10-29 12:00:12,817 INFO: [26..][epoch: 67, step: 81,400, lr:(1.000e-04,)] [eta: 8:08:21, time (data): 0.639 (0.000)] l1_latent_opt: 8.3656e-01 +2025-10-29 12:01:16,733 INFO: [26..][epoch: 67, step: 81,500, lr:(1.000e-04,)] [eta: 8:07:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3508e-01 +2025-10-29 12:02:20,572 INFO: [26..][epoch: 67, step: 81,600, lr:(1.000e-04,)] [eta: 8:06:03, time (data): 0.639 (0.000)] l1_latent_opt: 8.3654e-01 +2025-10-29 12:03:27,933 INFO: [26..][epoch: 68, step: 81,700, lr:(1.000e-04,)] [eta: 8:04:56, time (data): 0.637 (0.000)] l1_latent_opt: 8.3471e-01 +2025-10-29 12:04:31,623 INFO: [26..][epoch: 68, step: 81,800, lr:(1.000e-04,)] [eta: 8:03:47, time (data): 0.637 (0.000)] l1_latent_opt: 8.3447e-01 +2025-10-29 12:05:35,302 INFO: [26..][epoch: 68, step: 81,900, lr:(1.000e-04,)] [eta: 8:02:38, time (data): 0.637 (0.000)] l1_latent_opt: 8.3523e-01 +2025-10-29 12:06:38,964 INFO: [26..][epoch: 68, step: 82,000, lr:(1.000e-04,)] [eta: 8:01:29, time (data): 0.637 (0.000)] l1_latent_opt: 8.3432e-01 +2025-10-29 12:07:42,617 INFO: [26..][epoch: 68, step: 82,100, lr:(1.000e-04,)] [eta: 8:00:19, time (data): 0.637 (0.000)] l1_latent_opt: 8.3537e-01 +2025-10-29 12:08:46,313 INFO: [26..][epoch: 68, step: 82,200, lr:(1.000e-04,)] [eta: 7:59:10, time (data): 0.637 (0.000)] l1_latent_opt: 8.3465e-01 +2025-10-29 12:09:50,124 INFO: [26..][epoch: 68, step: 82,300, lr:(1.000e-04,)] [eta: 7:58:02, time (data): 0.638 (0.000)] l1_latent_opt: 8.3557e-01 +2025-10-29 12:10:53,991 INFO: [26..][epoch: 68, step: 82,400, lr:(1.000e-04,)] [eta: 7:56:53, time (data): 0.638 (0.000)] l1_latent_opt: 8.3554e-01 +2025-10-29 12:11:57,857 INFO: [26..][epoch: 68, step: 82,500, lr:(1.000e-04,)] [eta: 7:55:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.3498e-01 +2025-10-29 12:13:01,712 INFO: [26..][epoch: 68, step: 82,600, lr:(1.000e-04,)] [eta: 7:54:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.3398e-01 +2025-10-29 12:14:05,532 INFO: [26..][epoch: 68, step: 82,700, lr:(1.000e-04,)] [eta: 7:53:26, time (data): 0.638 (0.000)] l1_latent_opt: 8.3698e-01 +2025-10-29 12:15:09,326 INFO: [26..][epoch: 68, step: 82,800, lr:(1.000e-04,)] [eta: 7:52:17, time (data): 0.638 (0.000)] l1_latent_opt: 8.3521e-01 +2025-10-29 12:16:18,890 INFO: [26..][epoch: 69, step: 82,900, lr:(1.000e-04,)] [eta: 7:51:11, time (data): 0.639 (0.000)] l1_latent_opt: 8.3545e-01 +2025-10-29 12:17:22,919 INFO: [26..][epoch: 69, step: 83,000, lr:(1.000e-04,)] [eta: 7:50:03, time (data): 0.640 (0.000)] l1_latent_opt: 8.3321e-01 +2025-10-29 12:18:26,861 INFO: [26..][epoch: 69, step: 83,100, lr:(1.000e-04,)] [eta: 7:48:54, time (data): 0.639 (0.000)] l1_latent_opt: 8.3539e-01 +2025-10-29 12:19:30,802 INFO: [26..][epoch: 69, step: 83,200, lr:(1.000e-04,)] [eta: 7:47:45, time (data): 0.639 (0.000)] l1_latent_opt: 8.3496e-01 +2025-10-29 12:20:34,790 INFO: [26..][epoch: 69, step: 83,300, lr:(1.000e-04,)] [eta: 7:46:36, time (data): 0.640 (0.000)] l1_latent_opt: 8.3640e-01 +2025-10-29 12:21:38,787 INFO: [26..][epoch: 69, step: 83,400, lr:(1.000e-04,)] [eta: 7:45:28, time (data): 0.640 (0.000)] l1_latent_opt: 8.3372e-01 +2025-10-29 12:22:42,944 INFO: [26..][epoch: 69, step: 83,500, lr:(1.000e-04,)] [eta: 7:44:19, time (data): 0.642 (0.000)] l1_latent_opt: 8.3547e-01 +2025-10-29 12:23:46,870 INFO: [26..][epoch: 69, step: 83,600, lr:(1.000e-04,)] [eta: 7:43:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.3619e-01 +2025-10-29 12:24:50,995 INFO: [26..][epoch: 69, step: 83,700, lr:(1.000e-04,)] [eta: 7:42:02, time (data): 0.642 (0.000)] l1_latent_opt: 8.3460e-01 +2025-10-29 12:25:55,061 INFO: [26..][epoch: 69, step: 83,800, lr:(1.000e-04,)] [eta: 7:40:53, time (data): 0.641 (0.000)] l1_latent_opt: 8.3600e-01 +2025-10-29 12:26:58,948 INFO: [26..][epoch: 69, step: 83,900, lr:(1.000e-04,)] [eta: 7:39:44, time (data): 0.639 (0.000)] l1_latent_opt: 8.3499e-01 +2025-10-29 12:28:02,763 INFO: [26..][epoch: 69, step: 84,000, lr:(1.000e-04,)] [eta: 7:38:36, time (data): 0.638 (0.000)] l1_latent_opt: 8.3373e-01 +2025-10-29 12:29:12,440 INFO: [26..][epoch: 70, step: 84,100, lr:(1.000e-04,)] [eta: 7:37:30, time (data): 0.640 (0.000)] l1_latent_opt: 8.3583e-01 +2025-10-29 12:30:16,389 INFO: [26..][epoch: 70, step: 84,200, lr:(1.000e-04,)] [eta: 7:36:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3593e-01 +2025-10-29 12:31:20,328 INFO: [26..][epoch: 70, step: 84,300, lr:(1.000e-04,)] [eta: 7:35:12, time (data): 0.639 (0.000)] l1_latent_opt: 8.3564e-01 +2025-10-29 12:32:24,575 INFO: [26..][epoch: 70, step: 84,400, lr:(1.000e-04,)] [eta: 7:34:04, time (data): 0.640 (0.000)] l1_latent_opt: 8.3380e-01 +2025-10-29 12:33:28,588 INFO: [26..][epoch: 70, step: 84,500, lr:(1.000e-04,)] [eta: 7:32:55, time (data): 0.640 (0.000)] l1_latent_opt: 8.3670e-01 +2025-10-29 12:34:32,805 INFO: [26..][epoch: 70, step: 84,600, lr:(1.000e-04,)] [eta: 7:31:47, time (data): 0.641 (0.000)] l1_latent_opt: 8.3541e-01 +2025-10-29 12:35:36,776 INFO: [26..][epoch: 70, step: 84,700, lr:(1.000e-04,)] [eta: 7:30:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.3622e-01 +2025-10-29 12:36:40,722 INFO: [26..][epoch: 70, step: 84,800, lr:(1.000e-04,)] [eta: 7:29:30, time (data): 0.640 (0.000)] l1_latent_opt: 8.3624e-01 +2025-10-29 12:37:44,717 INFO: [26..][epoch: 70, step: 84,900, lr:(1.000e-04,)] [eta: 7:28:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3851e-01 +2025-10-29 12:38:48,701 INFO: [26..][epoch: 70, step: 85,000, lr:(1.000e-04,)] [eta: 7:27:13, time (data): 0.640 (0.000)] l1_latent_opt: 8.3518e-01 +2025-10-29 12:38:48,702 INFO: Saving models and training states. +2025-10-29 12:40:58,959 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8906 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2724 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7325 Best: 26.7325 @ 85000 iter + +2025-10-29 12:42:02,867 INFO: [26..][epoch: 70, step: 85,100, lr:(1.000e-04,)] [eta: 7:27:05, time (data): 0.639 (0.000)] l1_latent_opt: 8.3686e-01 +2025-10-29 12:43:06,706 INFO: [26..][epoch: 70, step: 85,200, lr:(1.000e-04,)] [eta: 7:25:56, time (data): 0.639 (0.000)] l1_latent_opt: 8.3553e-01 +2025-10-29 12:44:13,777 INFO: [26..][epoch: 71, step: 85,300, lr:(1.000e-04,)] [eta: 7:24:49, time (data): 0.640 (0.000)] l1_latent_opt: 8.3424e-01 +2025-10-29 12:45:17,719 INFO: [26..][epoch: 71, step: 85,400, lr:(1.000e-04,)] [eta: 7:23:40, time (data): 0.640 (0.000)] l1_latent_opt: 8.3628e-01 +2025-10-29 12:46:21,761 INFO: [26..][epoch: 71, step: 85,500, lr:(1.000e-04,)] [eta: 7:22:31, time (data): 0.641 (0.000)] l1_latent_opt: 8.3448e-01 +2025-10-29 12:47:25,742 INFO: [26..][epoch: 71, step: 85,600, lr:(1.000e-04,)] [eta: 7:21:23, time (data): 0.640 (0.000)] l1_latent_opt: 8.3701e-01 +2025-10-29 12:48:29,696 INFO: [26..][epoch: 71, step: 85,700, lr:(1.000e-04,)] [eta: 7:20:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3660e-01 +2025-10-29 12:49:33,640 INFO: [26..][epoch: 71, step: 85,800, lr:(1.000e-04,)] [eta: 7:19:05, time (data): 0.639 (0.000)] l1_latent_opt: 8.3383e-01 +2025-10-29 12:50:37,584 INFO: [26..][epoch: 71, step: 85,900, lr:(1.000e-04,)] [eta: 7:17:57, time (data): 0.639 (0.000)] l1_latent_opt: 8.3531e-01 +2025-10-29 12:51:41,549 INFO: [26..][epoch: 71, step: 86,000, lr:(1.000e-04,)] [eta: 7:16:48, time (data): 0.640 (0.000)] l1_latent_opt: 8.3407e-01 +2025-10-29 12:52:45,491 INFO: [26..][epoch: 71, step: 86,100, lr:(1.000e-04,)] [eta: 7:15:39, time (data): 0.639 (0.000)] l1_latent_opt: 8.3492e-01 +2025-10-29 12:53:49,405 INFO: [26..][epoch: 71, step: 86,200, lr:(1.000e-04,)] [eta: 7:14:31, time (data): 0.639 (0.000)] l1_latent_opt: 8.3495e-01 +2025-10-29 12:54:53,318 INFO: [26..][epoch: 71, step: 86,300, lr:(1.000e-04,)] [eta: 7:13:22, time (data): 0.639 (0.000)] l1_latent_opt: 8.3411e-01 +2025-10-29 12:55:57,142 INFO: [26..][epoch: 71, step: 86,400, lr:(1.000e-04,)] [eta: 7:12:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.3804e-01 +2025-10-29 12:57:05,528 INFO: [26..][epoch: 72, step: 86,500, lr:(1.000e-04,)] [eta: 7:11:07, time (data): 0.639 (0.000)] l1_latent_opt: 8.3409e-01 +2025-10-29 12:58:09,474 INFO: [26..][epoch: 72, step: 86,600, lr:(1.000e-04,)] [eta: 7:09:58, time (data): 0.639 (0.000)] l1_latent_opt: 8.3607e-01 +2025-10-29 12:59:13,413 INFO: [26..][epoch: 72, step: 86,700, lr:(1.000e-04,)] [eta: 7:08:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.3650e-01 +2025-10-29 13:00:17,357 INFO: [26..][epoch: 72, step: 86,800, lr:(1.000e-04,)] [eta: 7:07:41, time (data): 0.639 (0.000)] l1_latent_opt: 8.3653e-01 +2025-10-29 13:01:21,289 INFO: [26..][epoch: 72, step: 86,900, lr:(1.000e-04,)] [eta: 7:06:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3371e-01 +2025-10-29 13:02:25,244 INFO: [26..][epoch: 72, step: 87,000, lr:(1.000e-04,)] [eta: 7:05:24, time (data): 0.639 (0.000)] l1_latent_opt: 8.3539e-01 +2025-10-29 13:03:29,206 INFO: [26..][epoch: 72, step: 87,100, lr:(1.000e-04,)] [eta: 7:04:15, time (data): 0.640 (0.000)] l1_latent_opt: 8.3581e-01 +2025-10-29 13:04:33,177 INFO: [26..][epoch: 72, step: 87,200, lr:(1.000e-04,)] [eta: 7:03:06, time (data): 0.640 (0.000)] l1_latent_opt: 8.3734e-01 +2025-10-29 13:05:37,130 INFO: [26..][epoch: 72, step: 87,300, lr:(1.000e-04,)] [eta: 7:01:58, time (data): 0.640 (0.000)] l1_latent_opt: 8.3598e-01 +2025-10-29 13:06:41,075 INFO: [26..][epoch: 72, step: 87,400, lr:(1.000e-04,)] [eta: 7:00:49, time (data): 0.639 (0.000)] l1_latent_opt: 8.3469e-01 +2025-10-29 13:07:45,019 INFO: [26..][epoch: 72, step: 87,500, lr:(1.000e-04,)] [eta: 6:59:41, time (data): 0.639 (0.000)] l1_latent_opt: 8.3614e-01 +2025-10-29 13:08:48,898 INFO: [26..][epoch: 72, step: 87,600, lr:(1.000e-04,)] [eta: 6:58:32, time (data): 0.639 (0.000)] l1_latent_opt: 8.3586e-01 +2025-10-29 13:09:57,327 INFO: [26..][epoch: 73, step: 87,700, lr:(1.000e-04,)] [eta: 6:57:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.3481e-01 +2025-10-29 13:11:01,286 INFO: [26..][epoch: 73, step: 87,800, lr:(1.000e-04,)] [eta: 6:56:17, time (data): 0.640 (0.000)] l1_latent_opt: 8.3500e-01 +2025-10-29 13:12:05,241 INFO: [26..][epoch: 73, step: 87,900, lr:(1.000e-04,)] [eta: 6:55:09, time (data): 0.640 (0.000)] l1_latent_opt: 8.3523e-01 +2025-10-29 13:13:09,231 INFO: [26..][epoch: 73, step: 88,000, lr:(1.000e-04,)] [eta: 6:54:00, time (data): 0.640 (0.000)] l1_latent_opt: 8.3492e-01 +2025-10-29 13:14:13,192 INFO: [26..][epoch: 73, step: 88,100, lr:(1.000e-04,)] [eta: 6:52:52, time (data): 0.640 (0.000)] l1_latent_opt: 8.3592e-01 +2025-10-29 13:15:17,128 INFO: [26..][epoch: 73, step: 88,200, lr:(1.000e-04,)] [eta: 6:51:43, time (data): 0.639 (0.000)] l1_latent_opt: 8.3484e-01 +2025-10-29 13:16:21,068 INFO: [26..][epoch: 73, step: 88,300, lr:(1.000e-04,)] [eta: 6:50:35, time (data): 0.639 (0.000)] l1_latent_opt: 8.3653e-01 +2025-10-29 13:17:25,081 INFO: [26..][epoch: 73, step: 88,400, lr:(1.000e-04,)] [eta: 6:49:26, time (data): 0.640 (0.000)] l1_latent_opt: 8.3544e-01 +2025-10-29 13:18:29,032 INFO: [26..][epoch: 73, step: 88,500, lr:(1.000e-04,)] [eta: 6:48:18, time (data): 0.639 (0.000)] l1_latent_opt: 8.3479e-01 +2025-10-29 13:19:33,016 INFO: [26..][epoch: 73, step: 88,600, lr:(1.000e-04,)] [eta: 6:47:10, time (data): 0.640 (0.000)] l1_latent_opt: 8.3484e-01 +2025-10-29 13:20:36,994 INFO: [26..][epoch: 73, step: 88,700, lr:(1.000e-04,)] [eta: 6:46:01, time (data): 0.639 (0.000)] l1_latent_opt: 8.3518e-01 +2025-10-29 13:21:40,852 INFO: [26..][epoch: 73, step: 88,800, lr:(1.000e-04,)] [eta: 6:44:53, time (data): 0.639 (0.000)] l1_latent_opt: 8.3471e-01 +2025-10-29 13:22:48,894 INFO: [26..][epoch: 74, step: 88,900, lr:(1.000e-04,)] [eta: 6:43:46, time (data): 0.640 (0.000)] l1_latent_opt: 8.3469e-01 +2025-10-29 13:23:52,837 INFO: [26..][epoch: 74, step: 89,000, lr:(1.000e-04,)] [eta: 6:42:38, time (data): 0.640 (0.000)] l1_latent_opt: 8.3601e-01 +2025-10-29 13:24:56,870 INFO: [26..][epoch: 74, step: 89,100, lr:(1.000e-04,)] [eta: 6:41:29, time (data): 0.640 (0.000)] l1_latent_opt: 8.3717e-01 +2025-10-29 13:26:00,836 INFO: [26..][epoch: 74, step: 89,200, lr:(1.000e-04,)] [eta: 6:40:21, time (data): 0.640 (0.000)] l1_latent_opt: 8.3470e-01 +2025-10-29 13:27:04,781 INFO: [26..][epoch: 74, step: 89,300, lr:(1.000e-04,)] [eta: 6:39:13, time (data): 0.639 (0.000)] l1_latent_opt: 8.3498e-01 +2025-10-29 13:28:08,814 INFO: [26..][epoch: 74, step: 89,400, lr:(1.000e-04,)] [eta: 6:38:04, time (data): 0.640 (0.000)] l1_latent_opt: 8.3576e-01 +2025-10-29 13:29:12,892 INFO: [26..][epoch: 74, step: 89,500, lr:(1.000e-04,)] [eta: 6:36:56, time (data): 0.642 (0.000)] l1_latent_opt: 8.3566e-01 +2025-10-29 13:30:17,210 INFO: [26..][epoch: 74, step: 89,600, lr:(1.000e-04,)] [eta: 6:35:48, time (data): 0.643 (0.000)] l1_latent_opt: 8.3728e-01 +2025-10-29 13:31:21,152 INFO: [26..][epoch: 74, step: 89,700, lr:(1.000e-04,)] [eta: 6:34:39, time (data): 0.640 (0.000)] l1_latent_opt: 8.3716e-01 +2025-10-29 13:32:25,222 INFO: [26..][epoch: 74, step: 89,800, lr:(1.000e-04,)] [eta: 6:33:31, time (data): 0.640 (0.000)] l1_latent_opt: 8.3613e-01 +2025-10-29 13:33:29,141 INFO: [26..][epoch: 74, step: 89,900, lr:(1.000e-04,)] [eta: 6:32:23, time (data): 0.639 (0.000)] l1_latent_opt: 8.3388e-01 +2025-10-29 13:34:32,989 INFO: [26..][epoch: 74, step: 90,000, lr:(1.000e-04,)] [eta: 6:31:14, time (data): 0.639 (0.000)] l1_latent_opt: 8.3468e-01 +2025-10-29 13:34:32,991 INFO: Saving models and training states. +2025-10-29 13:36:42,121 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8903 Best: 0.9320 @ 5000 iter + # l2_latent: 1.2718 Best: 1.4107 @ 5000 iter + # pixel_psnr_pt: 26.7333 Best: 26.7333 @ 90000 iter + diff --git a/28_10_2025/26_archived_20251028_202012/basicsr_options.yaml b/28_10_2025/26_archived_20251028_202012/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a1c688cffd95cedf0d18b349dca04edb5744be34 --- /dev/null +++ b/28_10_2025/26_archived_20251028_202012/basicsr_options.yaml @@ -0,0 +1,144 @@ +# GENERATE TIME: Tue Oct 28 20:18:31 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '26' +name: '26' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 diff --git a/28_10_2025/26_archived_20251028_202012/train_26_20251028_201831.log b/28_10_2025/26_archived_20251028_202012/train_26_20251028_201831.log new file mode 100644 index 0000000000000000000000000000000000000000..a8d50c7c5d99a254bed7ecd933c27f4b12472821 --- /dev/null +++ b/28_10_2025/26_archived_20251028_202012/train_26_20251028_201831.log @@ -0,0 +1,172 @@ +2025-10-28 20:18:31,951 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:18:31,952 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 26 + name: 26 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/visualization + ] + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-28 20:18:33,729 INFO: Use wandb logger with id=3zh98owx; project=Swin2SR-Latent-SR. diff --git a/28_10_2025/26_archived_20251028_202301/basicsr_options.yaml b/28_10_2025/26_archived_20251028_202301/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..dd1d8e9c62f191df38f379af976737a11c926666 --- /dev/null +++ b/28_10_2025/26_archived_20251028_202301/basicsr_options.yaml @@ -0,0 +1,144 @@ +# GENERATE TIME: Tue Oct 28 20:20:12 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '26' +name: '26' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 diff --git a/28_10_2025/26_archived_20251028_202301/train_26_20251028_202012.log b/28_10_2025/26_archived_20251028_202301/train_26_20251028_202012.log new file mode 100644 index 0000000000000000000000000000000000000000..d90f6eb1c7c8e03812baf4c435d3026e3238764a --- /dev/null +++ b/28_10_2025/26_archived_20251028_202301/train_26_20251028_202012.log @@ -0,0 +1,539 @@ +2025-10-28 20:20:12,267 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:20:12,268 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 26 + name: 26 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/26/visualization + ] + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-28 20:20:13,805 INFO: Use wandb logger with id=ap0j8vew; project=Swin2SR-Latent-SR. +2025-10-28 20:20:40,047 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-28 20:20:40,048 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 512 + World size (gpu number): 2 + Steps per epoch: 1201 + Configured training steps: 125000 + Approximate epochs to cover: 105. +2025-10-28 20:20:40,052 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-28 20:20:40,052 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-28 20:20:40,174 INFO: Network [Swin2SR] is created. +2025-10-28 20:20:41,247 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,267,844 +2025-10-28 20:20:41,248 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-28 20:20:41,250 INFO: Use EMA with decay: 0.999 +2025-10-28 20:20:41,365 INFO: Network [Swin2SR] is created. +2025-10-28 20:20:41,401 INFO: Loss [L1Loss] is created. +2025-10-28 20:20:41,402 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-28 20:20:41,404 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-28 20:20:41,405 INFO: Model [SwinIRLatentModel] is created. diff --git a/28_10_2025/27/basicsr_options.yaml b/28_10_2025/27/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..357a7c7316784259f10d171ea2a0d93cdba55770 --- /dev/null +++ b/28_10_2025/27/basicsr_options.yaml @@ -0,0 +1,146 @@ +# GENERATE TIME: Tue Oct 28 20:24:34 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x4_flux_vae_im128-512_0.1fft+1l1_b512x4_2025_10_20/models/net_g_latest.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '27' +name: '27' diff --git a/28_10_2025/27/train_27_20251028_202434.log b/28_10_2025/27/train_27_20251028_202434.log new file mode 100644 index 0000000000000000000000000000000000000000..887a5f6fba5ad7f7bc5f2a796ef9a28761e0e6c8 --- /dev/null +++ b/28_10_2025/27/train_27_20251028_202434.log @@ -0,0 +1,1436 @@ +2025-10-28 20:24:34,790 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-28 20:24:34,790 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 4 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x4_flux_vae_im128-512_0.1fft+1l1_b512x4_2025_10_20/models/net_g_latest.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/27 + models: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/27/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/27/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/27 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/28_10_2025/27/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 27 + name: 27 + dist: True + rank: 0 + world_size: 4 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-28 20:24:36,432 INFO: Use wandb logger with id=mvv78j14; project=Swin2SR-Latent-SR. +2025-10-28 20:24:46,032 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-28 20:24:46,033 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 4 + Steps per epoch: 38402 + Configured training steps: 125000 + Approximate epochs to cover: 4. +2025-10-28 20:24:46,037 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-28 20:24:46,037 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-28 20:24:46,158 INFO: Network [Swin2SR] is created. +2025-10-28 20:24:47,710 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,267,844 +2025-10-28 20:24:47,712 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(16, 16), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-28 20:24:48,269 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x4_flux_vae_im128-512_0.1fft+1l1_b512x4_2025_10_20/models/net_g_latest.pth [key=params]. +2025-10-28 20:24:48,295 INFO: Use EMA with decay: 0.999 +2025-10-28 20:24:48,405 INFO: Network [Swin2SR] is created. +2025-10-28 20:24:48,522 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x4_flux_vae_im128-512_0.1fft+1l1_b512x4_2025_10_20/models/net_g_latest.pth [key=params_ema]. +2025-10-28 20:24:48,551 INFO: Loss [L1Loss] is created. +2025-10-28 20:24:48,552 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-28 20:24:48,556 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-28 20:24:48,556 INFO: Model [SwinIRLatentModel] is created. +2025-10-28 20:26:36,198 INFO: Start training from epoch: 0, step: 0 +2025-10-28 20:26:37,322 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-28 20:27:39,792 INFO: [27..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 19:40:33, time (data): 0.636 (0.004)] l1_pixel_opt: 1.5477e-01 +2025-10-28 20:28:38,801 INFO: [27..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 20:03:22, time (data): 0.613 (0.002)] l1_pixel_opt: 9.5210e-02 +2025-10-28 20:29:37,828 INFO: [27..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 20:10:30, time (data): 0.590 (0.000)] l1_pixel_opt: 8.7548e-02 +2025-10-28 20:30:37,037 INFO: [27..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 20:14:31, time (data): 0.591 (0.000)] l1_pixel_opt: 7.2215e-02 +2025-10-28 20:31:36,128 INFO: [27..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 20:16:03, time (data): 0.591 (0.000)] l1_pixel_opt: 7.5111e-02 +2025-10-28 20:32:35,308 INFO: [27..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 20:17:04, time (data): 0.591 (0.000)] l1_pixel_opt: 7.9891e-02 +2025-10-28 20:33:34,534 INFO: [27..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 20:17:38, time (data): 0.592 (0.000)] l1_pixel_opt: 7.8649e-02 +2025-10-28 20:34:33,882 INFO: [27..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 20:18:08, time (data): 0.593 (0.000)] l1_pixel_opt: 8.9421e-02 +2025-10-28 20:35:33,163 INFO: [27..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 20:18:09, time (data): 0.593 (0.000)] l1_pixel_opt: 8.9716e-02 +2025-10-28 20:36:30,058 INFO: [27..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 20:13:02, time (data): 0.581 (0.000)] l1_pixel_opt: 8.8124e-02 +2025-10-28 20:37:29,252 INFO: [27..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 20:12:59, time (data): 0.592 (0.000)] l1_pixel_opt: 6.6534e-02 +2025-10-28 20:38:28,424 INFO: [27..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 20:12:45, time (data): 0.592 (0.000)] l1_pixel_opt: 7.9355e-02 +2025-10-28 20:39:27,752 INFO: [27..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 20:12:39, time (data): 0.593 (0.000)] l1_pixel_opt: 6.9291e-02 +2025-10-28 20:40:27,018 INFO: [27..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 20:12:19, time (data): 0.593 (0.000)] l1_pixel_opt: 7.4258e-02 +2025-10-28 20:41:26,275 INFO: [27..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 20:11:54, time (data): 0.593 (0.000)] l1_pixel_opt: 7.2591e-02 +2025-10-28 20:42:25,304 INFO: [27..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 20:11:06, time (data): 0.591 (0.000)] l1_pixel_opt: 7.0413e-02 +2025-10-28 20:43:24,430 INFO: [27..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 20:10:25, time (data): 0.591 (0.000)] l1_pixel_opt: 7.9284e-02 +2025-10-28 20:44:23,268 INFO: [27..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 20:09:21, time (data): 0.590 (0.000)] l1_pixel_opt: 7.3276e-02 +2025-10-28 20:45:22,243 INFO: [27..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 20:08:28, time (data): 0.589 (0.000)] l1_pixel_opt: 7.1153e-02 +2025-10-28 20:46:19,498 INFO: [27..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 20:05:47, time (data): 0.580 (0.000)] l1_pixel_opt: 6.9916e-02 +2025-10-28 20:47:15,646 INFO: [27..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 20:02:12, time (data): 0.562 (0.000)] l1_pixel_opt: 6.9405e-02 +2025-10-28 20:48:13,090 INFO: [27..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 20:00:04, time (data): 0.568 (0.000)] l1_pixel_opt: 6.0716e-02 +2025-10-28 20:49:11,650 INFO: [27..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 19:59:01, time (data): 0.583 (0.000)] l1_pixel_opt: 8.2937e-02 +2025-10-28 20:50:10,102 INFO: [27..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 19:57:53, time (data): 0.584 (0.000)] l1_pixel_opt: 7.9801e-02 +2025-10-28 20:51:07,615 INFO: [27..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 19:56:00, time (data): 0.575 (0.000)] l1_pixel_opt: 7.7140e-02 +2025-10-28 20:52:05,297 INFO: [27..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 19:54:19, time (data): 0.576 (0.000)] l1_pixel_opt: 8.7851e-02 +2025-10-28 20:53:04,094 INFO: [27..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 19:53:32, time (data): 0.587 (0.000)] l1_pixel_opt: 8.3874e-02 +2025-10-28 20:54:01,994 INFO: [27..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 19:52:05, time (data): 0.583 (0.000)] l1_pixel_opt: 7.0439e-02 +2025-10-28 20:54:59,744 INFO: [27..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 19:50:34, time (data): 0.577 (0.000)] l1_pixel_opt: 7.5748e-02 +2025-10-28 20:55:56,304 INFO: [27..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 19:48:16, time (data): 0.571 (0.000)] l1_pixel_opt: 7.2499e-02 +2025-10-28 20:56:53,076 INFO: [27..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 19:46:12, time (data): 0.569 (0.000)] l1_pixel_opt: 7.5121e-02 +2025-10-28 20:57:50,133 INFO: [27..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 19:44:23, time (data): 0.570 (0.000)] l1_pixel_opt: 7.3167e-02 +2025-10-28 20:58:46,650 INFO: [27..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 19:42:17, time (data): 0.565 (0.000)] l1_pixel_opt: 7.3262e-02 +2025-10-28 20:59:45,278 INFO: [27..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 19:41:31, time (data): 0.577 (0.000)] l1_pixel_opt: 8.1904e-02 +2025-10-28 21:00:43,270 INFO: [27..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 19:40:22, time (data): 0.577 (0.000)] l1_pixel_opt: 7.5137e-02 +2025-10-28 21:01:40,861 INFO: [27..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 19:39:00, time (data): 0.576 (0.000)] l1_pixel_opt: 7.7366e-02 +2025-10-28 21:02:39,397 INFO: [27..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 19:38:11, time (data): 0.588 (0.000)] l1_pixel_opt: 7.4268e-02 +2025-10-28 21:03:38,638 INFO: [27..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 19:37:43, time (data): 0.590 (0.000)] l1_pixel_opt: 6.9695e-02 +2025-10-28 21:04:38,218 INFO: [27..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 19:37:24, time (data): 0.598 (0.000)] l1_pixel_opt: 8.0373e-02 +2025-10-28 21:05:37,458 INFO: [27..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 19:36:53, time (data): 0.595 (0.000)] l1_pixel_opt: 7.1530e-02 +2025-10-28 21:06:36,598 INFO: [27..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 19:36:18, time (data): 0.591 (0.000)] l1_pixel_opt: 7.0479e-02 +2025-10-28 21:07:34,295 INFO: [27..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 19:35:00, time (data): 0.583 (0.000)] l1_pixel_opt: 7.7918e-02 +2025-10-28 21:08:33,257 INFO: [27..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 19:34:19, time (data): 0.592 (0.000)] l1_pixel_opt: 7.9010e-02 +2025-10-28 21:09:31,505 INFO: [27..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 19:33:17, time (data): 0.587 (0.000)] l1_pixel_opt: 7.9154e-02 +2025-10-28 21:10:28,561 INFO: [27..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 19:31:43, time (data): 0.568 (0.000)] l1_pixel_opt: 7.0676e-02 +2025-10-28 21:11:26,070 INFO: [27..][epoch: 0, step: 4,600, lr:(2.000e-04,)] [eta: 19:30:23, time (data): 0.572 (0.000)] l1_pixel_opt: 8.0014e-02 +2025-10-28 21:12:30,110 INFO: [27..][epoch: 0, step: 4,700, lr:(2.000e-04,)] [eta: 19:31:51, time (data): 0.663 (0.000)] l1_pixel_opt: 7.3001e-02 +2025-10-28 21:13:26,724 INFO: [27..][epoch: 0, step: 4,800, lr:(2.000e-04,)] [eta: 19:30:06, time (data): 0.608 (0.000)] l1_pixel_opt: 8.1358e-02 +2025-10-28 21:14:23,592 INFO: [27..][epoch: 0, step: 4,900, lr:(2.000e-04,)] [eta: 19:28:30, time (data): 0.571 (0.000)] l1_pixel_opt: 7.9224e-02 +2025-10-28 21:15:21,450 INFO: [27..][epoch: 0, step: 5,000, lr:(2.000e-04,)] [eta: 19:27:19, time (data): 0.575 (0.000)] l1_pixel_opt: 6.7146e-02 +2025-10-28 21:15:21,451 INFO: Saving models and training states. +2025-10-28 21:17:54,611 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 1.4631 Best: 1.4631 @ 5000 iter + # l2_latent: 3.3994 Best: 3.3994 @ 5000 iter + # pixel_psnr_pt: 27.8612 Best: 27.8612 @ 5000 iter + +2025-10-28 21:18:53,923 INFO: [27..][epoch: 0, step: 5,100, lr:(2.000e-04,)] [eta: 20:26:43, time (data): 0.593 (0.000)] l1_pixel_opt: 8.3230e-02 +2025-10-28 21:19:52,227 INFO: [27..][epoch: 0, step: 5,200, lr:(2.000e-04,)] [eta: 20:24:31, time (data): 0.587 (0.000)] l1_pixel_opt: 7.8421e-02 +2025-10-28 21:20:51,554 INFO: [27..][epoch: 0, step: 5,300, lr:(2.000e-04,)] [eta: 20:22:44, time (data): 0.593 (0.000)] l1_pixel_opt: 7.1178e-02 +2025-10-28 21:21:50,907 INFO: [27..][epoch: 0, step: 5,400, lr:(2.000e-04,)] [eta: 20:21:00, time (data): 0.593 (0.000)] l1_pixel_opt: 7.3088e-02 +2025-10-28 21:22:50,424 INFO: [27..][epoch: 0, step: 5,500, lr:(2.000e-04,)] [eta: 20:19:21, time (data): 0.596 (0.000)] l1_pixel_opt: 8.5854e-02 +2025-10-28 21:23:49,610 INFO: [27..][epoch: 0, step: 5,600, lr:(2.000e-04,)] [eta: 20:17:36, time (data): 0.593 (0.000)] l1_pixel_opt: 8.4212e-02 +2025-10-28 21:24:48,025 INFO: [27..][epoch: 0, step: 5,700, lr:(2.000e-04,)] [eta: 20:15:37, time (data): 0.581 (0.000)] l1_pixel_opt: 6.8545e-02 +2025-10-28 21:25:44,774 INFO: [27..][epoch: 0, step: 5,800, lr:(2.000e-04,)] [eta: 20:13:06, time (data): 0.573 (0.000)] l1_pixel_opt: 8.0898e-02 +2025-10-28 21:26:55,232 INFO: [27..][epoch: 0, step: 5,900, lr:(2.000e-04,)] [eta: 20:15:14, time (data): 0.663 (0.000)] l1_pixel_opt: 7.1185e-02 +2025-10-28 21:28:00,098 INFO: [27..][epoch: 0, step: 6,000, lr:(2.000e-04,)] [eta: 20:15:26, time (data): 0.655 (0.000)] l1_pixel_opt: 7.3596e-02 +2025-10-28 21:28:57,125 INFO: [27..][epoch: 0, step: 6,100, lr:(2.000e-04,)] [eta: 20:13:01, time (data): 0.571 (0.000)] l1_pixel_opt: 7.0227e-02 +2025-10-28 21:29:54,697 INFO: [27..][epoch: 0, step: 6,200, lr:(2.000e-04,)] [eta: 20:10:50, time (data): 0.574 (0.000)] l1_pixel_opt: 8.6157e-02 +2025-10-28 21:30:52,300 INFO: [27..][epoch: 0, step: 6,300, lr:(2.000e-04,)] [eta: 20:08:42, time (data): 0.579 (0.000)] l1_pixel_opt: 8.4412e-02 +2025-10-28 21:31:50,563 INFO: [27..][epoch: 0, step: 6,400, lr:(2.000e-04,)] [eta: 20:06:49, time (data): 0.581 (0.000)] l1_pixel_opt: 7.2644e-02 +2025-10-28 21:32:49,780 INFO: [27..][epoch: 0, step: 6,500, lr:(2.000e-04,)] [eta: 20:05:14, time (data): 0.591 (0.000)] l1_pixel_opt: 7.3927e-02 +2025-10-28 21:33:47,152 INFO: [27..][epoch: 0, step: 6,600, lr:(2.000e-04,)] [eta: 20:03:08, time (data): 0.581 (0.000)] l1_pixel_opt: 7.3911e-02 +2025-10-28 21:34:45,250 INFO: [27..][epoch: 0, step: 6,700, lr:(2.000e-04,)] [eta: 20:01:16, time (data): 0.577 (0.000)] l1_pixel_opt: 8.2449e-02 +2025-10-28 21:35:43,543 INFO: [27..][epoch: 0, step: 6,800, lr:(2.000e-04,)] [eta: 19:59:29, time (data): 0.580 (0.000)] l1_pixel_opt: 6.5835e-02 +2025-10-28 21:36:42,955 INFO: [27..][epoch: 0, step: 6,900, lr:(2.000e-04,)] [eta: 19:58:03, time (data): 0.594 (0.000)] l1_pixel_opt: 7.6150e-02 +2025-10-28 21:37:42,313 INFO: [27..][epoch: 0, step: 7,000, lr:(2.000e-04,)] [eta: 19:56:37, time (data): 0.594 (0.000)] l1_pixel_opt: 7.3041e-02 +2025-10-28 21:38:41,697 INFO: [27..][epoch: 0, step: 7,100, lr:(2.000e-04,)] [eta: 19:55:12, time (data): 0.594 (0.000)] l1_pixel_opt: 8.6204e-02 +2025-10-28 21:39:40,101 INFO: [27..][epoch: 0, step: 7,200, lr:(2.000e-04,)] [eta: 19:53:31, time (data): 0.588 (0.000)] l1_pixel_opt: 7.8252e-02 +2025-10-28 21:40:38,953 INFO: [27..][epoch: 0, step: 7,300, lr:(2.000e-04,)] [eta: 19:51:59, time (data): 0.597 (0.000)] l1_pixel_opt: 7.7932e-02 +2025-10-28 21:41:35,808 INFO: [27..][epoch: 0, step: 7,400, lr:(2.000e-04,)] [eta: 19:49:56, time (data): 0.579 (0.000)] l1_pixel_opt: 7.6859e-02 +2025-10-28 21:42:33,112 INFO: [27..][epoch: 0, step: 7,500, lr:(2.000e-04,)] [eta: 19:48:02, time (data): 0.571 (0.000)] l1_pixel_opt: 6.8151e-02 +2025-10-28 21:43:32,251 INFO: [27..][epoch: 0, step: 7,600, lr:(2.000e-04,)] [eta: 19:46:38, time (data): 0.583 (0.000)] l1_pixel_opt: 7.9081e-02 +2025-10-28 21:44:31,298 INFO: [27..][epoch: 0, step: 7,700, lr:(2.000e-04,)] [eta: 19:45:13, time (data): 0.587 (0.000)] l1_pixel_opt: 7.4524e-02 +2025-10-28 21:45:30,455 INFO: [27..][epoch: 0, step: 7,800, lr:(2.000e-04,)] [eta: 19:43:50, time (data): 0.590 (0.000)] l1_pixel_opt: 7.4298e-02 +2025-10-28 21:46:29,671 INFO: [27..][epoch: 0, step: 7,900, lr:(2.000e-04,)] [eta: 19:42:29, time (data): 0.592 (0.000)] l1_pixel_opt: 7.0034e-02 +2025-10-28 21:47:29,465 INFO: [27..][epoch: 0, step: 8,000, lr:(2.000e-04,)] [eta: 19:41:17, time (data): 0.596 (0.000)] l1_pixel_opt: 7.4689e-02 +2025-10-28 21:48:30,049 INFO: [27..][epoch: 0, step: 8,100, lr:(2.000e-04,)] [eta: 19:40:16, time (data): 0.604 (0.000)] l1_pixel_opt: 8.9061e-02 +2025-10-28 21:49:29,768 INFO: [27..][epoch: 0, step: 8,200, lr:(2.000e-04,)] [eta: 19:39:03, time (data): 0.600 (0.000)] l1_pixel_opt: 6.8353e-02 +2025-10-28 21:50:29,164 INFO: [27..][epoch: 0, step: 8,300, lr:(2.000e-04,)] [eta: 19:37:46, time (data): 0.596 (0.000)] l1_pixel_opt: 6.9554e-02 +2025-10-28 21:51:29,077 INFO: [27..][epoch: 0, step: 8,400, lr:(2.000e-04,)] [eta: 19:36:37, time (data): 0.598 (0.000)] l1_pixel_opt: 7.0774e-02 +2025-10-28 21:52:29,183 INFO: [27..][epoch: 0, step: 8,500, lr:(2.000e-04,)] [eta: 19:35:30, time (data): 0.604 (0.000)] l1_pixel_opt: 7.6869e-02 +2025-10-28 21:53:28,714 INFO: [27..][epoch: 0, step: 8,600, lr:(2.000e-04,)] [eta: 19:34:16, time (data): 0.599 (0.000)] l1_pixel_opt: 7.5053e-02 +2025-10-28 21:54:28,201 INFO: [27..][epoch: 0, step: 8,700, lr:(2.000e-04,)] [eta: 19:33:02, time (data): 0.591 (0.000)] l1_pixel_opt: 7.9222e-02 +2025-10-28 21:55:27,377 INFO: [27..][epoch: 0, step: 8,800, lr:(2.000e-04,)] [eta: 19:31:43, time (data): 0.592 (0.000)] l1_pixel_opt: 6.9699e-02 +2025-10-28 21:56:27,673 INFO: [27..][epoch: 0, step: 8,900, lr:(2.000e-04,)] [eta: 19:30:40, time (data): 0.611 (0.000)] l1_pixel_opt: 7.5352e-02 +2025-10-28 21:57:24,963 INFO: [27..][epoch: 0, step: 9,000, lr:(2.000e-04,)] [eta: 19:28:58, time (data): 0.587 (0.000)] l1_pixel_opt: 7.9074e-02 +2025-10-28 21:58:23,823 INFO: [27..][epoch: 0, step: 9,100, lr:(2.000e-04,)] [eta: 19:27:37, time (data): 0.594 (0.000)] l1_pixel_opt: 8.0405e-02 +2025-10-28 21:59:22,868 INFO: [27..][epoch: 0, step: 9,200, lr:(2.000e-04,)] [eta: 19:26:19, time (data): 0.592 (0.000)] l1_pixel_opt: 7.3260e-02 +2025-10-28 22:00:21,099 INFO: [27..][epoch: 0, step: 9,300, lr:(2.000e-04,)] [eta: 19:24:51, time (data): 0.578 (0.000)] l1_pixel_opt: 6.4611e-02 +2025-10-28 22:01:18,794 INFO: [27..][epoch: 0, step: 9,400, lr:(2.000e-04,)] [eta: 19:23:18, time (data): 0.577 (0.000)] l1_pixel_opt: 7.4931e-02 +2025-10-28 22:02:16,739 INFO: [27..][epoch: 0, step: 9,500, lr:(2.000e-04,)] [eta: 19:21:48, time (data): 0.578 (0.000)] l1_pixel_opt: 7.5899e-02 +2025-10-28 22:03:14,859 INFO: [27..][epoch: 0, step: 9,600, lr:(2.000e-04,)] [eta: 19:20:20, time (data): 0.580 (0.000)] l1_pixel_opt: 7.0571e-02 +2025-10-28 22:04:13,504 INFO: [27..][epoch: 0, step: 9,700, lr:(2.000e-04,)] [eta: 19:19:00, time (data): 0.592 (0.000)] l1_pixel_opt: 7.6734e-02 +2025-10-28 22:05:12,677 INFO: [27..][epoch: 0, step: 9,800, lr:(2.000e-04,)] [eta: 19:17:46, time (data): 0.592 (0.000)] l1_pixel_opt: 8.8922e-02 +2025-10-28 22:06:11,857 INFO: [27..][epoch: 0, step: 9,900, lr:(2.000e-04,)] [eta: 19:16:33, time (data): 0.590 (0.000)] l1_pixel_opt: 7.3114e-02 +2025-10-28 22:07:18,813 INFO: [27..][epoch: 0, step: 10,000, lr:(2.000e-04,)] [eta: 19:16:49, time (data): 0.643 (0.000)] l1_pixel_opt: 7.1073e-02 +2025-10-28 22:07:18,814 INFO: Saving models and training states. +2025-10-28 22:09:33,244 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 1.5305 Best: 1.5305 @ 10000 iter + # l2_latent: 3.6401 Best: 3.6401 @ 10000 iter + # pixel_psnr_pt: 27.9359 Best: 27.9359 @ 10000 iter + +2025-10-28 22:10:32,435 INFO: [27..][epoch: 0, step: 10,100, lr:(2.000e-04,)] [eta: 19:41:05, time (data): 0.593 (0.000)] l1_pixel_opt: 7.5132e-02 +2025-10-28 22:11:31,877 INFO: [27..][epoch: 0, step: 10,200, lr:(2.000e-04,)] [eta: 19:39:38, time (data): 0.594 (0.000)] l1_pixel_opt: 7.7996e-02 +2025-10-28 22:12:28,729 INFO: [27..][epoch: 0, step: 10,300, lr:(2.000e-04,)] [eta: 19:37:43, time (data): 0.567 (0.000)] l1_pixel_opt: 7.4675e-02 +2025-10-28 22:13:26,680 INFO: [27..][epoch: 0, step: 10,400, lr:(2.000e-04,)] [eta: 19:36:01, time (data): 0.575 (0.000)] l1_pixel_opt: 7.9240e-02 +2025-10-28 22:14:25,564 INFO: [27..][epoch: 0, step: 10,500, lr:(2.000e-04,)] [eta: 19:34:30, time (data): 0.585 (0.000)] l1_pixel_opt: 8.4033e-02 +2025-10-28 22:15:24,597 INFO: [27..][epoch: 0, step: 10,600, lr:(2.000e-04,)] [eta: 19:33:02, time (data): 0.589 (0.000)] l1_pixel_opt: 7.8567e-02 +2025-10-28 22:16:23,536 INFO: [27..][epoch: 0, step: 10,700, lr:(2.000e-04,)] [eta: 19:31:32, time (data): 0.584 (0.000)] l1_pixel_opt: 6.7724e-02 +2025-10-28 22:17:20,575 INFO: [27..][epoch: 0, step: 10,800, lr:(2.000e-04,)] [eta: 19:29:44, time (data): 0.575 (0.000)] l1_pixel_opt: 7.2126e-02 +2025-10-28 22:18:19,969 INFO: [27..][epoch: 0, step: 10,900, lr:(2.000e-04,)] [eta: 19:28:21, time (data): 0.596 (0.000)] l1_pixel_opt: 7.6466e-02 +2025-10-28 22:19:19,183 INFO: [27..][epoch: 0, step: 11,000, lr:(2.000e-04,)] [eta: 19:26:56, time (data): 0.593 (0.000)] l1_pixel_opt: 7.0639e-02 +2025-10-28 22:20:17,123 INFO: [27..][epoch: 0, step: 11,100, lr:(2.000e-04,)] [eta: 19:25:19, time (data): 0.566 (0.000)] l1_pixel_opt: 7.2176e-02 +2025-10-28 22:21:15,788 INFO: [27..][epoch: 0, step: 11,200, lr:(2.000e-04,)] [eta: 19:23:50, time (data): 0.580 (0.000)] l1_pixel_opt: 6.7670e-02 +2025-10-28 22:22:14,708 INFO: [27..][epoch: 0, step: 11,300, lr:(2.000e-04,)] [eta: 19:22:24, time (data): 0.588 (0.000)] l1_pixel_opt: 7.9869e-02 +2025-10-28 22:23:12,512 INFO: [27..][epoch: 0, step: 11,400, lr:(2.000e-04,)] [eta: 19:20:48, time (data): 0.581 (0.000)] l1_pixel_opt: 6.8988e-02 +2025-10-28 22:24:11,311 INFO: [27..][epoch: 0, step: 11,500, lr:(2.000e-04,)] [eta: 19:19:21, time (data): 0.596 (0.000)] l1_pixel_opt: 8.2213e-02 +2025-10-28 22:25:11,091 INFO: [27..][epoch: 0, step: 11,600, lr:(2.000e-04,)] [eta: 19:18:05, time (data): 0.597 (0.000)] l1_pixel_opt: 7.1221e-02 +2025-10-28 22:26:10,660 INFO: [27..][epoch: 0, step: 11,700, lr:(2.000e-04,)] [eta: 19:16:48, time (data): 0.597 (0.000)] l1_pixel_opt: 7.5299e-02 +2025-10-28 22:27:10,120 INFO: [27..][epoch: 0, step: 11,800, lr:(2.000e-04,)] [eta: 19:15:29, time (data): 0.595 (0.000)] l1_pixel_opt: 6.9916e-02 +2025-10-28 22:28:09,130 INFO: [27..][epoch: 0, step: 11,900, lr:(2.000e-04,)] [eta: 19:14:07, time (data): 0.596 (0.000)] l1_pixel_opt: 7.6053e-02 +2025-10-28 22:29:08,923 INFO: [27..][epoch: 0, step: 12,000, lr:(2.000e-04,)] [eta: 19:12:52, time (data): 0.597 (0.000)] l1_pixel_opt: 7.4319e-02 +2025-10-28 22:30:06,356 INFO: [27..][epoch: 0, step: 12,100, lr:(2.000e-04,)] [eta: 19:11:15, time (data): 0.571 (0.000)] l1_pixel_opt: 7.2331e-02 +2025-10-28 22:31:04,814 INFO: [27..][epoch: 0, step: 12,200, lr:(2.000e-04,)] [eta: 19:09:49, time (data): 0.581 (0.000)] l1_pixel_opt: 7.9240e-02 +2025-10-28 22:32:02,919 INFO: [27..][epoch: 0, step: 12,300, lr:(2.000e-04,)] [eta: 19:08:20, time (data): 0.575 (0.000)] l1_pixel_opt: 7.1233e-02 +2025-10-28 22:33:00,916 INFO: [27..][epoch: 0, step: 12,400, lr:(2.000e-04,)] [eta: 19:06:50, time (data): 0.579 (0.000)] l1_pixel_opt: 6.2078e-02 +2025-10-28 22:34:00,182 INFO: [27..][epoch: 0, step: 12,500, lr:(2.000e-04,)] [eta: 19:05:32, time (data): 0.591 (0.000)] l1_pixel_opt: 6.9698e-02 +2025-10-28 22:34:59,449 INFO: [27..][epoch: 0, step: 12,600, lr:(2.000e-04,)] [eta: 19:04:15, time (data): 0.592 (0.000)] l1_pixel_opt: 8.0862e-02 +2025-10-28 22:35:57,413 INFO: [27..][epoch: 0, step: 12,700, lr:(2.000e-04,)] [eta: 19:02:46, time (data): 0.580 (0.000)] l1_pixel_opt: 7.1454e-02 +2025-10-28 22:36:56,936 INFO: [27..][epoch: 0, step: 12,800, lr:(2.000e-04,)] [eta: 19:01:32, time (data): 0.591 (0.000)] l1_pixel_opt: 7.1971e-02 +2025-10-28 22:37:54,801 INFO: [27..][epoch: 0, step: 12,900, lr:(2.000e-04,)] [eta: 19:00:03, time (data): 0.586 (0.000)] l1_pixel_opt: 7.7812e-02 +2025-10-28 22:39:54,348 INFO: [27..][epoch: 0, step: 13,000, lr:(2.000e-04,)] [eta: 19:07:26, time (data): 1.034 (0.000)] l1_pixel_opt: 7.5558e-02 +2025-10-28 22:40:51,474 INFO: [27..][epoch: 0, step: 13,100, lr:(2.000e-04,)] [eta: 19:05:48, time (data): 0.581 (0.000)] l1_pixel_opt: 7.2637e-02 +2025-10-28 22:41:49,485 INFO: [27..][epoch: 0, step: 13,200, lr:(2.000e-04,)] [eta: 19:04:17, time (data): 0.580 (0.000)] l1_pixel_opt: 7.3928e-02 +2025-10-28 22:42:48,607 INFO: [27..][epoch: 0, step: 13,300, lr:(2.000e-04,)] [eta: 19:02:57, time (data): 0.592 (0.000)] l1_pixel_opt: 6.6420e-02 +2025-10-28 22:43:54,512 INFO: [27..][epoch: 0, step: 13,400, lr:(2.000e-04,)] [eta: 19:02:33, time (data): 0.642 (0.000)] l1_pixel_opt: 7.7201e-02 +2025-10-28 22:44:51,461 INFO: [27..][epoch: 0, step: 13,500, lr:(2.000e-04,)] [eta: 19:00:54, time (data): 0.579 (0.000)] l1_pixel_opt: 8.3483e-02 +2025-10-28 22:45:57,214 INFO: [27..][epoch: 0, step: 13,600, lr:(2.000e-04,)] [eta: 19:00:29, time (data): 0.638 (0.050)] l1_pixel_opt: 6.8167e-02 +2025-10-28 22:46:56,345 INFO: [27..][epoch: 0, step: 13,700, lr:(2.000e-04,)] [eta: 18:59:09, time (data): 0.592 (0.000)] l1_pixel_opt: 8.2989e-02 +2025-10-28 22:47:55,541 INFO: [27..][epoch: 0, step: 13,800, lr:(2.000e-04,)] [eta: 18:57:49, time (data): 0.592 (0.000)] l1_pixel_opt: 7.7817e-02 +2025-10-28 22:48:54,869 INFO: [27..][epoch: 0, step: 13,900, lr:(2.000e-04,)] [eta: 18:56:31, time (data): 0.595 (0.000)] l1_pixel_opt: 7.7228e-02 +2025-10-28 22:49:54,349 INFO: [27..][epoch: 0, step: 14,000, lr:(2.000e-04,)] [eta: 18:55:15, time (data): 0.595 (0.000)] l1_pixel_opt: 6.5924e-02 +2025-10-28 22:50:53,794 INFO: [27..][epoch: 0, step: 14,100, lr:(2.000e-04,)] [eta: 18:53:59, time (data): 0.594 (0.000)] l1_pixel_opt: 7.4458e-02 +2025-10-28 22:51:53,102 INFO: [27..][epoch: 0, step: 14,200, lr:(2.000e-04,)] [eta: 18:52:41, time (data): 0.593 (0.000)] l1_pixel_opt: 7.0425e-02 +2025-10-28 22:52:51,600 INFO: [27..][epoch: 0, step: 14,300, lr:(2.000e-04,)] [eta: 18:51:18, time (data): 0.566 (0.000)] l1_pixel_opt: 7.7305e-02 +2025-10-28 22:53:50,105 INFO: [27..][epoch: 0, step: 14,400, lr:(2.000e-04,)] [eta: 18:49:55, time (data): 0.581 (0.000)] l1_pixel_opt: 7.4587e-02 +2025-10-28 22:54:48,707 INFO: [27..][epoch: 0, step: 14,500, lr:(2.000e-04,)] [eta: 18:48:33, time (data): 0.583 (0.000)] l1_pixel_opt: 7.6976e-02 +2025-10-28 22:55:47,404 INFO: [27..][epoch: 0, step: 14,600, lr:(2.000e-04,)] [eta: 18:47:12, time (data): 0.586 (0.000)] l1_pixel_opt: 7.4854e-02 +2025-10-28 22:56:46,696 INFO: [27..][epoch: 0, step: 14,700, lr:(2.000e-04,)] [eta: 18:45:56, time (data): 0.592 (0.000)] l1_pixel_opt: 6.8721e-02 +2025-10-28 22:57:46,033 INFO: [27..][epoch: 0, step: 14,800, lr:(2.000e-04,)] [eta: 18:44:41, time (data): 0.593 (0.000)] l1_pixel_opt: 7.5909e-02 +2025-10-28 22:58:45,542 INFO: [27..][epoch: 0, step: 14,900, lr:(2.000e-04,)] [eta: 18:43:27, time (data): 0.596 (0.000)] l1_pixel_opt: 7.2230e-02 +2025-10-28 22:59:44,092 INFO: [27..][epoch: 0, step: 15,000, lr:(2.000e-04,)] [eta: 18:42:06, time (data): 0.588 (0.000)] l1_pixel_opt: 6.6788e-02 +2025-10-28 22:59:44,093 INFO: Saving models and training states. +2025-10-28 23:01:52,129 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 1.5979 Best: 1.5979 @ 15000 iter + # l2_latent: 3.9177 Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: 27.9815 Best: 27.9815 @ 15000 iter + +2025-10-28 23:02:49,532 INFO: [27..][epoch: 0, step: 15,100, lr:(2.000e-04,)] [eta: 18:56:09, time (data): 0.593 (0.000)] l1_pixel_opt: 6.8225e-02 +2025-10-28 23:03:47,387 INFO: [27..][epoch: 0, step: 15,200, lr:(2.000e-04,)] [eta: 18:54:37, time (data): 0.581 (0.000)] l1_pixel_opt: 8.1037e-02 +2025-10-28 23:04:46,709 INFO: [27..][epoch: 0, step: 15,300, lr:(2.000e-04,)] [eta: 18:53:16, time (data): 0.593 (0.000)] l1_pixel_opt: 7.8451e-02 +2025-10-28 23:05:45,011 INFO: [27..][epoch: 0, step: 15,400, lr:(2.000e-04,)] [eta: 18:51:47, time (data): 0.585 (0.000)] l1_pixel_opt: 7.6483e-02 +2025-10-28 23:06:42,440 INFO: [27..][epoch: 0, step: 15,500, lr:(2.000e-04,)] [eta: 18:50:13, time (data): 0.593 (0.000)] l1_pixel_opt: 6.6841e-02 +2025-10-28 23:07:42,008 INFO: [27..][epoch: 0, step: 15,600, lr:(2.000e-04,)] [eta: 18:48:55, time (data): 0.595 (0.000)] l1_pixel_opt: 8.5374e-02 +2025-10-28 23:08:40,560 INFO: [27..][epoch: 0, step: 15,700, lr:(2.000e-04,)] [eta: 18:47:30, time (data): 0.569 (0.000)] l1_pixel_opt: 8.0366e-02 +2025-10-28 23:09:38,858 INFO: [27..][epoch: 0, step: 15,800, lr:(2.000e-04,)] [eta: 18:46:03, time (data): 0.581 (0.000)] l1_pixel_opt: 7.9262e-02 +2025-10-28 23:10:37,357 INFO: [27..][epoch: 0, step: 15,900, lr:(2.000e-04,)] [eta: 18:44:38, time (data): 0.561 (0.000)] l1_pixel_opt: nan +2025-10-28 23:11:36,009 INFO: [27..][epoch: 0, step: 16,000, lr:(2.000e-04,)] [eta: 18:43:14, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-28 23:12:32,086 INFO: [27..][epoch: 0, step: 16,100, lr:(2.000e-04,)] [eta: 18:41:33, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-28 23:13:30,194 INFO: [27..][epoch: 0, step: 16,200, lr:(2.000e-04,)] [eta: 18:40:07, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-28 23:14:28,654 INFO: [27..][epoch: 0, step: 16,300, lr:(2.000e-04,)] [eta: 18:38:43, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-28 23:15:27,390 INFO: [27..][epoch: 0, step: 16,400, lr:(2.000e-04,)] [eta: 18:37:21, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-28 23:16:23,573 INFO: [27..][epoch: 0, step: 16,500, lr:(2.000e-04,)] [eta: 18:35:43, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-28 23:17:19,907 INFO: [27..][epoch: 0, step: 16,600, lr:(2.000e-04,)] [eta: 18:34:06, time (data): 0.564 (0.000)] l1_pixel_opt: nan +2025-10-28 23:18:17,821 INFO: [27..][epoch: 0, step: 16,700, lr:(2.000e-04,)] [eta: 18:32:40, time (data): 0.565 (0.000)] l1_pixel_opt: nan +2025-10-28 23:19:15,926 INFO: [27..][epoch: 0, step: 16,800, lr:(2.000e-04,)] [eta: 18:31:16, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-28 23:20:14,777 INFO: [27..][epoch: 0, step: 16,900, lr:(2.000e-04,)] [eta: 18:29:56, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:21:13,403 INFO: [27..][epoch: 0, step: 17,000, lr:(2.000e-04,)] [eta: 18:28:36, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-28 23:22:12,501 INFO: [27..][epoch: 0, step: 17,100, lr:(2.000e-04,)] [eta: 18:27:19, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-28 23:23:10,654 INFO: [27..][epoch: 0, step: 17,200, lr:(2.000e-04,)] [eta: 18:25:56, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-28 23:24:09,421 INFO: [27..][epoch: 0, step: 17,300, lr:(2.000e-04,)] [eta: 18:24:37, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:25:08,368 INFO: [27..][epoch: 0, step: 17,400, lr:(2.000e-04,)] [eta: 18:23:19, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:26:07,536 INFO: [27..][epoch: 0, step: 17,500, lr:(2.000e-04,)] [eta: 18:22:03, time (data): 0.595 (0.000)] l1_pixel_opt: nan +2025-10-28 23:27:06,656 INFO: [27..][epoch: 0, step: 17,600, lr:(2.000e-04,)] [eta: 18:20:47, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-28 23:28:05,834 INFO: [27..][epoch: 0, step: 17,700, lr:(2.000e-04,)] [eta: 18:19:31, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-28 23:29:04,959 INFO: [27..][epoch: 0, step: 17,800, lr:(2.000e-04,)] [eta: 18:18:16, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-28 23:30:04,028 INFO: [27..][epoch: 0, step: 17,900, lr:(2.000e-04,)] [eta: 18:17:00, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-28 23:31:03,395 INFO: [27..][epoch: 0, step: 18,000, lr:(2.000e-04,)] [eta: 18:15:46, time (data): 0.593 (0.000)] l1_pixel_opt: nan +2025-10-28 23:32:00,443 INFO: [27..][epoch: 0, step: 18,100, lr:(2.000e-04,)] [eta: 18:14:19, time (data): 0.595 (0.000)] l1_pixel_opt: nan +2025-10-28 23:32:59,289 INFO: [27..][epoch: 0, step: 18,200, lr:(2.000e-04,)] [eta: 18:13:02, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-28 23:33:58,000 INFO: [27..][epoch: 0, step: 18,300, lr:(2.000e-04,)] [eta: 18:11:45, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-28 23:34:56,669 INFO: [27..][epoch: 0, step: 18,400, lr:(2.000e-04,)] [eta: 18:10:28, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-28 23:35:55,384 INFO: [27..][epoch: 0, step: 18,500, lr:(2.000e-04,)] [eta: 18:09:11, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-28 23:36:53,228 INFO: [27..][epoch: 0, step: 18,600, lr:(2.000e-04,)] [eta: 18:07:50, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-28 23:37:51,656 INFO: [27..][epoch: 0, step: 18,700, lr:(2.000e-04,)] [eta: 18:06:32, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-28 23:38:50,167 INFO: [27..][epoch: 0, step: 18,800, lr:(2.000e-04,)] [eta: 18:05:14, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-28 23:39:48,607 INFO: [27..][epoch: 0, step: 18,900, lr:(2.000e-04,)] [eta: 18:03:57, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-28 23:40:47,782 INFO: [27..][epoch: 0, step: 19,000, lr:(2.000e-04,)] [eta: 18:02:44, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-28 23:41:47,225 INFO: [27..][epoch: 0, step: 19,100, lr:(2.000e-04,)] [eta: 18:01:32, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:42:44,537 INFO: [27..][epoch: 0, step: 19,200, lr:(2.000e-04,)] [eta: 18:00:09, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-28 23:43:41,890 INFO: [27..][epoch: 0, step: 19,300, lr:(2.000e-04,)] [eta: 17:58:47, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-28 23:44:40,749 INFO: [27..][epoch: 0, step: 19,400, lr:(2.000e-04,)] [eta: 17:57:32, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-28 23:45:39,292 INFO: [27..][epoch: 0, step: 19,500, lr:(2.000e-04,)] [eta: 17:56:17, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-28 23:46:37,670 INFO: [27..][epoch: 0, step: 19,600, lr:(2.000e-04,)] [eta: 17:55:00, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-28 23:47:47,554 INFO: [27..][epoch: 0, step: 19,700, lr:(2.000e-04,)] [eta: 17:54:45, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-28 23:48:44,124 INFO: [27..][epoch: 0, step: 19,800, lr:(2.000e-04,)] [eta: 17:53:19, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-28 23:49:42,355 INFO: [27..][epoch: 0, step: 19,900, lr:(2.000e-04,)] [eta: 17:52:02, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-28 23:50:41,332 INFO: [27..][epoch: 0, step: 20,000, lr:(2.000e-04,)] [eta: 17:50:49, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-28 23:50:41,333 INFO: Saving models and training states. +2025-10-28 23:52:40,034 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-28 23:53:37,373 INFO: [27..][epoch: 0, step: 20,100, lr:(2.000e-04,)] [eta: 17:59:48, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-28 23:54:36,239 INFO: [27..][epoch: 0, step: 20,200, lr:(2.000e-04,)] [eta: 17:58:31, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-28 23:55:35,460 INFO: [27..][epoch: 0, step: 20,300, lr:(2.000e-04,)] [eta: 17:57:16, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:56:33,778 INFO: [27..][epoch: 0, step: 20,400, lr:(2.000e-04,)] [eta: 17:55:57, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-28 23:57:32,824 INFO: [27..][epoch: 0, step: 20,500, lr:(2.000e-04,)] [eta: 17:54:41, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-28 23:58:31,799 INFO: [27..][epoch: 0, step: 20,600, lr:(2.000e-04,)] [eta: 17:53:26, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-28 23:59:30,048 INFO: [27..][epoch: 0, step: 20,700, lr:(2.000e-04,)] [eta: 17:52:07, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 00:00:33,475 INFO: [27..][epoch: 0, step: 20,800, lr:(2.000e-04,)] [eta: 17:51:14, time (data): 0.637 (0.000)] l1_pixel_opt: nan +2025-10-29 00:01:31,779 INFO: [27..][epoch: 0, step: 20,900, lr:(2.000e-04,)] [eta: 17:49:55, time (data): 0.609 (0.000)] l1_pixel_opt: nan +2025-10-29 00:02:30,859 INFO: [27..][epoch: 0, step: 21,000, lr:(2.000e-04,)] [eta: 17:48:41, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 00:03:29,443 INFO: [27..][epoch: 0, step: 21,100, lr:(2.000e-04,)] [eta: 17:47:24, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:04:28,563 INFO: [27..][epoch: 0, step: 21,200, lr:(2.000e-04,)] [eta: 17:46:10, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 00:05:27,559 INFO: [27..][epoch: 0, step: 21,300, lr:(2.000e-04,)] [eta: 17:44:56, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 00:06:26,364 INFO: [27..][epoch: 0, step: 21,400, lr:(2.000e-04,)] [eta: 17:43:41, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:07:25,197 INFO: [27..][epoch: 0, step: 21,500, lr:(2.000e-04,)] [eta: 17:42:26, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:08:23,984 INFO: [27..][epoch: 0, step: 21,600, lr:(2.000e-04,)] [eta: 17:41:11, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:09:20,125 INFO: [27..][epoch: 0, step: 21,700, lr:(2.000e-04,)] [eta: 17:39:43, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 00:10:17,543 INFO: [27..][epoch: 0, step: 21,800, lr:(2.000e-04,)] [eta: 17:38:22, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 00:11:15,791 INFO: [27..][epoch: 0, step: 21,900, lr:(2.000e-04,)] [eta: 17:37:05, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 00:12:14,854 INFO: [27..][epoch: 0, step: 22,000, lr:(2.000e-04,)] [eta: 17:35:52, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 00:13:13,722 INFO: [27..][epoch: 0, step: 22,100, lr:(2.000e-04,)] [eta: 17:34:38, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 00:14:10,693 INFO: [27..][epoch: 0, step: 22,200, lr:(2.000e-04,)] [eta: 17:33:16, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 00:15:09,369 INFO: [27..][epoch: 0, step: 22,300, lr:(2.000e-04,)] [eta: 17:32:01, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 00:16:07,679 INFO: [27..][epoch: 0, step: 22,400, lr:(2.000e-04,)] [eta: 17:30:45, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 00:17:06,638 INFO: [27..][epoch: 0, step: 22,500, lr:(2.000e-04,)] [eta: 17:29:33, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:18:04,854 INFO: [27..][epoch: 0, step: 22,600, lr:(2.000e-04,)] [eta: 17:28:17, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 00:19:03,497 INFO: [27..][epoch: 0, step: 22,700, lr:(2.000e-04,)] [eta: 17:27:03, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 00:20:02,147 INFO: [27..][epoch: 0, step: 22,800, lr:(2.000e-04,)] [eta: 17:25:49, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 00:21:00,812 INFO: [27..][epoch: 0, step: 22,900, lr:(2.000e-04,)] [eta: 17:24:35, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 00:21:59,529 INFO: [27..][epoch: 0, step: 23,000, lr:(2.000e-04,)] [eta: 17:23:22, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 00:22:58,366 INFO: [27..][epoch: 0, step: 23,100, lr:(2.000e-04,)] [eta: 17:22:09, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:23:57,144 INFO: [27..][epoch: 0, step: 23,200, lr:(2.000e-04,)] [eta: 17:20:57, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 00:24:56,278 INFO: [27..][epoch: 0, step: 23,300, lr:(2.000e-04,)] [eta: 17:19:46, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 00:25:53,540 INFO: [27..][epoch: 0, step: 23,400, lr:(2.000e-04,)] [eta: 17:18:27, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 00:26:51,915 INFO: [27..][epoch: 0, step: 23,500, lr:(2.000e-04,)] [eta: 17:17:13, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 00:27:50,134 INFO: [27..][epoch: 0, step: 23,600, lr:(2.000e-04,)] [eta: 17:15:58, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 00:28:47,303 INFO: [27..][epoch: 0, step: 23,700, lr:(2.000e-04,)] [eta: 17:14:39, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 00:29:44,080 INFO: [27..][epoch: 0, step: 23,800, lr:(2.000e-04,)] [eta: 17:13:19, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 00:30:41,321 INFO: [27..][epoch: 0, step: 23,900, lr:(2.000e-04,)] [eta: 17:12:00, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 00:31:40,418 INFO: [27..][epoch: 0, step: 24,000, lr:(2.000e-04,)] [eta: 17:10:50, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-29 00:32:38,673 INFO: [27..][epoch: 0, step: 24,100, lr:(2.000e-04,)] [eta: 17:09:36, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 00:33:37,295 INFO: [27..][epoch: 0, step: 24,200, lr:(2.000e-04,)] [eta: 17:08:24, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 00:34:36,005 INFO: [27..][epoch: 0, step: 24,300, lr:(2.000e-04,)] [eta: 17:07:13, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 00:35:35,076 INFO: [27..][epoch: 0, step: 24,400, lr:(2.000e-04,)] [eta: 17:06:03, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 00:36:33,890 INFO: [27..][epoch: 0, step: 24,500, lr:(2.000e-04,)] [eta: 17:04:52, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 00:37:32,411 INFO: [27..][epoch: 0, step: 24,600, lr:(2.000e-04,)] [eta: 17:03:40, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 00:38:30,926 INFO: [27..][epoch: 0, step: 24,700, lr:(2.000e-04,)] [eta: 17:02:28, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 00:39:29,699 INFO: [27..][epoch: 0, step: 24,800, lr:(2.000e-04,)] [eta: 17:01:17, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 00:40:27,609 INFO: [27..][epoch: 0, step: 24,900, lr:(2.000e-04,)] [eta: 17:00:03, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 00:41:26,025 INFO: [27..][epoch: 0, step: 25,000, lr:(2.000e-04,)] [eta: 16:58:50, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 00:41:26,026 INFO: Saving models and training states. +2025-10-29 00:43:23,362 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 00:44:19,640 INFO: [27..][epoch: 0, step: 25,100, lr:(2.000e-04,)] [eta: 17:05:17, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 00:45:15,854 INFO: [27..][epoch: 0, step: 25,200, lr:(2.000e-04,)] [eta: 17:03:54, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-29 00:46:12,224 INFO: [27..][epoch: 0, step: 25,300, lr:(2.000e-04,)] [eta: 17:02:32, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 00:47:11,149 INFO: [27..][epoch: 0, step: 25,400, lr:(2.000e-04,)] [eta: 17:01:20, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 00:48:08,652 INFO: [27..][epoch: 0, step: 25,500, lr:(2.000e-04,)] [eta: 17:00:03, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 00:49:05,870 INFO: [27..][epoch: 0, step: 25,600, lr:(2.000e-04,)] [eta: 16:58:45, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 00:50:02,005 INFO: [27..][epoch: 0, step: 25,700, lr:(2.000e-04,)] [eta: 16:57:23, time (data): 0.564 (0.000)] l1_pixel_opt: nan +2025-10-29 00:50:57,948 INFO: [27..][epoch: 0, step: 25,800, lr:(2.000e-04,)] [eta: 16:56:00, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 00:51:55,499 INFO: [27..][epoch: 0, step: 25,900, lr:(2.000e-04,)] [eta: 16:54:44, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 00:52:53,734 INFO: [27..][epoch: 0, step: 26,000, lr:(2.000e-04,)] [eta: 16:53:30, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 00:53:51,353 INFO: [27..][epoch: 0, step: 26,100, lr:(2.000e-04,)] [eta: 16:52:14, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 00:54:48,656 INFO: [27..][epoch: 0, step: 26,200, lr:(2.000e-04,)] [eta: 16:50:57, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 00:55:46,999 INFO: [27..][epoch: 0, step: 26,300, lr:(2.000e-04,)] [eta: 16:49:44, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 00:56:45,099 INFO: [27..][epoch: 0, step: 26,400, lr:(2.000e-04,)] [eta: 16:48:31, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 00:57:42,224 INFO: [27..][epoch: 0, step: 26,500, lr:(2.000e-04,)] [eta: 16:47:14, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 00:58:40,682 INFO: [27..][epoch: 0, step: 26,600, lr:(2.000e-04,)] [eta: 16:46:02, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 00:59:39,346 INFO: [27..][epoch: 0, step: 26,700, lr:(2.000e-04,)] [eta: 16:44:50, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 01:00:37,685 INFO: [27..][epoch: 0, step: 26,800, lr:(2.000e-04,)] [eta: 16:43:38, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 01:01:36,051 INFO: [27..][epoch: 0, step: 26,900, lr:(2.000e-04,)] [eta: 16:42:26, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 01:02:34,123 INFO: [27..][epoch: 0, step: 27,000, lr:(2.000e-04,)] [eta: 16:41:13, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 01:03:32,491 INFO: [27..][epoch: 0, step: 27,100, lr:(2.000e-04,)] [eta: 16:40:01, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:04:31,009 INFO: [27..][epoch: 0, step: 27,200, lr:(2.000e-04,)] [eta: 16:38:50, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 01:05:28,843 INFO: [27..][epoch: 0, step: 27,300, lr:(2.000e-04,)] [eta: 16:37:36, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 01:06:26,066 INFO: [27..][epoch: 0, step: 27,400, lr:(2.000e-04,)] [eta: 16:36:20, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 01:07:23,005 INFO: [27..][epoch: 0, step: 27,500, lr:(2.000e-04,)] [eta: 16:35:04, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 01:08:19,395 INFO: [27..][epoch: 0, step: 27,600, lr:(2.000e-04,)] [eta: 16:33:46, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 01:09:17,373 INFO: [27..][epoch: 0, step: 27,700, lr:(2.000e-04,)] [eta: 16:32:33, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 01:10:15,257 INFO: [27..][epoch: 0, step: 27,800, lr:(2.000e-04,)] [eta: 16:31:20, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:11:13,855 INFO: [27..][epoch: 0, step: 27,900, lr:(2.000e-04,)] [eta: 16:30:10, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 01:12:12,016 INFO: [27..][epoch: 0, step: 28,000, lr:(2.000e-04,)] [eta: 16:28:58, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:13:08,978 INFO: [27..][epoch: 0, step: 28,100, lr:(2.000e-04,)] [eta: 16:27:43, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 01:14:06,738 INFO: [27..][epoch: 0, step: 28,200, lr:(2.000e-04,)] [eta: 16:26:30, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 01:15:05,613 INFO: [27..][epoch: 0, step: 28,300, lr:(2.000e-04,)] [eta: 16:25:21, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 01:16:04,408 INFO: [27..][epoch: 0, step: 28,400, lr:(2.000e-04,)] [eta: 16:24:12, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 01:17:03,320 INFO: [27..][epoch: 0, step: 28,500, lr:(2.000e-04,)] [eta: 16:23:03, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 01:18:01,734 INFO: [27..][epoch: 0, step: 28,600, lr:(2.000e-04,)] [eta: 16:21:53, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 01:18:59,933 INFO: [27..][epoch: 0, step: 28,700, lr:(2.000e-04,)] [eta: 16:20:42, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 01:19:58,608 INFO: [27..][epoch: 0, step: 28,800, lr:(2.000e-04,)] [eta: 16:19:33, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:20:56,292 INFO: [27..][epoch: 0, step: 28,900, lr:(2.000e-04,)] [eta: 16:18:20, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 01:21:53,872 INFO: [27..][epoch: 0, step: 29,000, lr:(2.000e-04,)] [eta: 16:17:08, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 01:22:51,488 INFO: [27..][epoch: 0, step: 29,100, lr:(2.000e-04,)] [eta: 16:15:55, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 01:23:49,918 INFO: [27..][epoch: 0, step: 29,200, lr:(2.000e-04,)] [eta: 16:14:45, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 01:24:48,608 INFO: [27..][epoch: 0, step: 29,300, lr:(2.000e-04,)] [eta: 16:13:37, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:25:47,254 INFO: [27..][epoch: 0, step: 29,400, lr:(2.000e-04,)] [eta: 16:12:28, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:26:45,681 INFO: [27..][epoch: 0, step: 29,500, lr:(2.000e-04,)] [eta: 16:11:18, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 01:27:44,404 INFO: [27..][epoch: 0, step: 29,600, lr:(2.000e-04,)] [eta: 16:10:10, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 01:28:42,533 INFO: [27..][epoch: 0, step: 29,700, lr:(2.000e-04,)] [eta: 16:09:00, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:29:40,891 INFO: [27..][epoch: 0, step: 29,800, lr:(2.000e-04,)] [eta: 16:07:50, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 01:30:39,387 INFO: [27..][epoch: 0, step: 29,900, lr:(2.000e-04,)] [eta: 16:06:41, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:31:38,043 INFO: [27..][epoch: 0, step: 30,000, lr:(2.000e-04,)] [eta: 16:05:33, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:31:38,044 INFO: Saving models and training states. +2025-10-29 01:33:34,642 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 01:34:32,285 INFO: [27..][epoch: 0, step: 30,100, lr:(2.000e-04,)] [eta: 16:10:29, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 01:35:30,213 INFO: [27..][epoch: 0, step: 30,200, lr:(2.000e-04,)] [eta: 16:09:17, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 01:36:26,207 INFO: [27..][epoch: 0, step: 30,300, lr:(2.000e-04,)] [eta: 16:07:59, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 01:37:22,240 INFO: [27..][epoch: 0, step: 30,400, lr:(2.000e-04,)] [eta: 16:06:41, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 01:38:20,110 INFO: [27..][epoch: 0, step: 30,500, lr:(2.000e-04,)] [eta: 16:05:29, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 01:39:16,945 INFO: [27..][epoch: 0, step: 30,600, lr:(2.000e-04,)] [eta: 16:04:14, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 01:40:14,381 INFO: [27..][epoch: 0, step: 30,700, lr:(2.000e-04,)] [eta: 16:03:01, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 01:41:11,155 INFO: [27..][epoch: 0, step: 30,800, lr:(2.000e-04,)] [eta: 16:01:46, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 01:42:08,120 INFO: [27..][epoch: 0, step: 30,900, lr:(2.000e-04,)] [eta: 16:00:31, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 01:43:04,139 INFO: [27..][epoch: 0, step: 31,000, lr:(2.000e-04,)] [eta: 15:59:14, time (data): 0.561 (0.000)] l1_pixel_opt: nan +2025-10-29 01:44:00,140 INFO: [27..][epoch: 0, step: 31,100, lr:(2.000e-04,)] [eta: 15:57:57, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 01:44:56,132 INFO: [27..][epoch: 0, step: 31,200, lr:(2.000e-04,)] [eta: 15:56:40, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 01:45:53,726 INFO: [27..][epoch: 0, step: 31,300, lr:(2.000e-04,)] [eta: 15:55:28, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 01:46:51,936 INFO: [27..][epoch: 0, step: 31,400, lr:(2.000e-04,)] [eta: 15:54:18, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 01:47:49,176 INFO: [27..][epoch: 0, step: 31,500, lr:(2.000e-04,)] [eta: 15:53:05, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 01:48:46,174 INFO: [27..][epoch: 0, step: 31,600, lr:(2.000e-04,)] [eta: 15:51:52, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-29 01:49:43,310 INFO: [27..][epoch: 0, step: 31,700, lr:(2.000e-04,)] [eta: 15:50:39, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 01:50:42,187 INFO: [27..][epoch: 0, step: 31,800, lr:(2.000e-04,)] [eta: 15:49:31, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 01:51:41,059 INFO: [27..][epoch: 0, step: 31,900, lr:(2.000e-04,)] [eta: 15:48:24, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 01:52:40,090 INFO: [27..][epoch: 0, step: 32,000, lr:(2.000e-04,)] [eta: 15:47:16, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 01:53:38,855 INFO: [27..][epoch: 0, step: 32,100, lr:(2.000e-04,)] [eta: 15:46:08, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 01:54:37,556 INFO: [27..][epoch: 0, step: 32,200, lr:(2.000e-04,)] [eta: 15:45:00, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:55:36,238 INFO: [27..][epoch: 0, step: 32,300, lr:(2.000e-04,)] [eta: 15:43:52, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:56:34,956 INFO: [27..][epoch: 0, step: 32,400, lr:(2.000e-04,)] [eta: 15:42:44, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 01:57:33,660 INFO: [27..][epoch: 0, step: 32,500, lr:(2.000e-04,)] [eta: 15:41:37, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 01:58:32,067 INFO: [27..][epoch: 0, step: 32,600, lr:(2.000e-04,)] [eta: 15:40:28, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 01:59:30,698 INFO: [27..][epoch: 0, step: 32,700, lr:(2.000e-04,)] [eta: 15:39:20, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 02:00:27,935 INFO: [27..][epoch: 0, step: 32,800, lr:(2.000e-04,)] [eta: 15:38:08, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:01:24,826 INFO: [27..][epoch: 0, step: 32,900, lr:(2.000e-04,)] [eta: 15:36:55, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 02:02:21,575 INFO: [27..][epoch: 0, step: 33,000, lr:(2.000e-04,)] [eta: 15:35:42, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 02:03:18,651 INFO: [27..][epoch: 0, step: 33,100, lr:(2.000e-04,)] [eta: 15:34:30, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 02:04:15,887 INFO: [27..][epoch: 0, step: 33,200, lr:(2.000e-04,)] [eta: 15:33:19, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:05:14,088 INFO: [27..][epoch: 0, step: 33,300, lr:(2.000e-04,)] [eta: 15:32:10, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 02:06:12,575 INFO: [27..][epoch: 0, step: 33,400, lr:(2.000e-04,)] [eta: 15:31:02, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 02:07:10,118 INFO: [27..][epoch: 0, step: 33,500, lr:(2.000e-04,)] [eta: 15:29:52, time (data): 0.577 (0.000)] l1_pixel_opt: nan +2025-10-29 02:08:08,276 INFO: [27..][epoch: 0, step: 33,600, lr:(2.000e-04,)] [eta: 15:28:43, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 02:09:06,127 INFO: [27..][epoch: 0, step: 33,700, lr:(2.000e-04,)] [eta: 15:27:34, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 02:10:05,107 INFO: [27..][epoch: 0, step: 33,800, lr:(2.000e-04,)] [eta: 15:26:28, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:11:15,019 INFO: [27..][epoch: 0, step: 33,900, lr:(2.000e-04,)] [eta: 15:25:51, time (data): 0.673 (0.000)] l1_pixel_opt: nan +2025-10-29 02:12:10,180 INFO: [27..][epoch: 0, step: 34,000, lr:(2.000e-04,)] [eta: 15:24:34, time (data): 0.552 (0.000)] l1_pixel_opt: nan +2025-10-29 02:13:06,852 INFO: [27..][epoch: 0, step: 34,100, lr:(2.000e-04,)] [eta: 15:23:22, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 02:14:05,469 INFO: [27..][epoch: 0, step: 34,200, lr:(2.000e-04,)] [eta: 15:22:15, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:15:04,458 INFO: [27..][epoch: 0, step: 34,300, lr:(2.000e-04,)] [eta: 15:21:09, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:16:03,377 INFO: [27..][epoch: 0, step: 34,400, lr:(2.000e-04,)] [eta: 15:20:02, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 02:17:01,480 INFO: [27..][epoch: 0, step: 34,500, lr:(2.000e-04,)] [eta: 15:18:54, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 02:17:59,171 INFO: [27..][epoch: 0, step: 34,600, lr:(2.000e-04,)] [eta: 15:17:45, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:18:57,734 INFO: [27..][epoch: 0, step: 34,700, lr:(2.000e-04,)] [eta: 15:16:38, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:19:56,395 INFO: [27..][epoch: 0, step: 34,800, lr:(2.000e-04,)] [eta: 15:15:31, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:20:55,017 INFO: [27..][epoch: 0, step: 34,900, lr:(2.000e-04,)] [eta: 15:14:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:21:53,640 INFO: [27..][epoch: 0, step: 35,000, lr:(2.000e-04,)] [eta: 15:13:17, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:21:53,641 INFO: Saving models and training states. +2025-10-29 02:23:49,767 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 02:24:51,229 INFO: [27..][epoch: 0, step: 35,100, lr:(2.000e-04,)] [eta: 15:17:15, time (data): 0.609 (0.000)] l1_pixel_opt: nan +2025-10-29 02:25:47,135 INFO: [27..][epoch: 0, step: 35,200, lr:(2.000e-04,)] [eta: 15:16:01, time (data): 0.556 (0.000)] l1_pixel_opt: nan +2025-10-29 02:26:43,032 INFO: [27..][epoch: 0, step: 35,300, lr:(2.000e-04,)] [eta: 15:14:46, time (data): 0.558 (0.000)] l1_pixel_opt: nan +2025-10-29 02:27:39,335 INFO: [27..][epoch: 0, step: 35,400, lr:(2.000e-04,)] [eta: 15:13:32, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-29 02:28:36,997 INFO: [27..][epoch: 0, step: 35,500, lr:(2.000e-04,)] [eta: 15:12:22, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 02:29:35,612 INFO: [27..][epoch: 0, step: 35,600, lr:(2.000e-04,)] [eta: 15:11:15, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:30:34,228 INFO: [27..][epoch: 0, step: 35,700, lr:(2.000e-04,)] [eta: 15:10:07, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:31:32,665 INFO: [27..][epoch: 0, step: 35,800, lr:(2.000e-04,)] [eta: 15:08:59, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 02:32:31,218 INFO: [27..][epoch: 0, step: 35,900, lr:(2.000e-04,)] [eta: 15:07:52, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 02:33:29,743 INFO: [27..][epoch: 0, step: 36,000, lr:(2.000e-04,)] [eta: 15:06:44, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:34:28,411 INFO: [27..][epoch: 0, step: 36,100, lr:(2.000e-04,)] [eta: 15:05:37, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:35:27,133 INFO: [27..][epoch: 0, step: 36,200, lr:(2.000e-04,)] [eta: 15:04:30, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:36:25,831 INFO: [27..][epoch: 0, step: 36,300, lr:(2.000e-04,)] [eta: 15:03:23, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:37:24,696 INFO: [27..][epoch: 0, step: 36,400, lr:(2.000e-04,)] [eta: 15:02:16, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:38:23,555 INFO: [27..][epoch: 0, step: 36,500, lr:(2.000e-04,)] [eta: 15:01:10, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 02:39:21,956 INFO: [27..][epoch: 0, step: 36,600, lr:(2.000e-04,)] [eta: 15:00:02, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 02:40:20,491 INFO: [27..][epoch: 0, step: 36,700, lr:(2.000e-04,)] [eta: 14:58:55, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 02:41:17,161 INFO: [27..][epoch: 0, step: 36,800, lr:(2.000e-04,)] [eta: 14:57:43, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 02:42:16,148 INFO: [27..][epoch: 0, step: 36,900, lr:(2.000e-04,)] [eta: 14:56:37, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:43:15,124 INFO: [27..][epoch: 0, step: 37,000, lr:(2.000e-04,)] [eta: 14:55:31, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:44:13,630 INFO: [27..][epoch: 0, step: 37,100, lr:(2.000e-04,)] [eta: 14:54:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:45:12,361 INFO: [27..][epoch: 0, step: 37,200, lr:(2.000e-04,)] [eta: 14:53:18, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 02:46:11,193 INFO: [27..][epoch: 0, step: 37,300, lr:(2.000e-04,)] [eta: 14:52:11, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 02:47:10,084 INFO: [27..][epoch: 0, step: 37,400, lr:(2.000e-04,)] [eta: 14:51:05, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 02:48:09,066 INFO: [27..][epoch: 0, step: 37,500, lr:(2.000e-04,)] [eta: 14:49:59, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:49:07,825 INFO: [27..][epoch: 0, step: 37,600, lr:(2.000e-04,)] [eta: 14:48:53, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 02:50:06,728 INFO: [27..][epoch: 0, step: 37,700, lr:(2.000e-04,)] [eta: 14:47:47, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 02:51:05,668 INFO: [27..][epoch: 0, step: 37,800, lr:(2.000e-04,)] [eta: 14:46:41, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 02:52:04,460 INFO: [27..][epoch: 0, step: 37,900, lr:(2.000e-04,)] [eta: 14:45:35, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 02:53:02,571 INFO: [27..][epoch: 0, step: 38,000, lr:(2.000e-04,)] [eta: 14:44:28, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 02:54:01,000 INFO: [27..][epoch: 0, step: 38,100, lr:(2.000e-04,)] [eta: 14:43:21, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 02:54:58,844 INFO: [27..][epoch: 0, step: 38,200, lr:(2.000e-04,)] [eta: 14:42:13, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 02:55:56,142 INFO: [27..][epoch: 0, step: 38,300, lr:(2.000e-04,)] [eta: 14:41:03, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 02:56:54,805 INFO: [27..][epoch: 0, step: 38,400, lr:(2.000e-04,)] [eta: 14:39:57, time (data): 0.587 (0.002)] l1_pixel_opt: nan +2025-10-29 02:57:53,613 INFO: [27..][epoch: 1, step: 38,500, lr:(2.000e-04,)] [eta: 14:38:51, time (data): 0.588 (0.001)] l1_pixel_opt: nan +2025-10-29 02:58:52,385 INFO: [27..][epoch: 1, step: 38,600, lr:(2.000e-04,)] [eta: 14:37:45, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 02:59:51,064 INFO: [27..][epoch: 1, step: 38,700, lr:(2.000e-04,)] [eta: 14:36:39, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:00:49,681 INFO: [27..][epoch: 1, step: 38,800, lr:(2.000e-04,)] [eta: 14:35:33, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:01:48,368 INFO: [27..][epoch: 1, step: 38,900, lr:(2.000e-04,)] [eta: 14:34:27, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:02:46,962 INFO: [27..][epoch: 1, step: 39,000, lr:(2.000e-04,)] [eta: 14:33:21, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:03:45,549 INFO: [27..][epoch: 1, step: 39,100, lr:(2.000e-04,)] [eta: 14:32:15, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:04:44,120 INFO: [27..][epoch: 1, step: 39,200, lr:(2.000e-04,)] [eta: 14:31:09, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 03:05:41,979 INFO: [27..][epoch: 1, step: 39,300, lr:(2.000e-04,)] [eta: 14:30:01, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 03:06:39,323 INFO: [27..][epoch: 1, step: 39,400, lr:(2.000e-04,)] [eta: 14:28:53, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 03:07:36,575 INFO: [27..][epoch: 1, step: 39,500, lr:(2.000e-04,)] [eta: 14:27:44, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 03:08:33,573 INFO: [27..][epoch: 1, step: 39,600, lr:(2.000e-04,)] [eta: 14:26:35, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:09:32,107 INFO: [27..][epoch: 1, step: 39,700, lr:(2.000e-04,)] [eta: 14:25:29, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:10:30,946 INFO: [27..][epoch: 1, step: 39,800, lr:(2.000e-04,)] [eta: 14:24:23, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 03:11:29,968 INFO: [27..][epoch: 1, step: 39,900, lr:(2.000e-04,)] [eta: 14:23:19, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 03:12:27,147 INFO: [27..][epoch: 1, step: 40,000, lr:(2.000e-04,)] [eta: 14:22:10, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 03:12:27,148 INFO: Saving models and training states. +2025-10-29 03:14:22,219 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 03:15:19,396 INFO: [27..][epoch: 1, step: 40,100, lr:(2.000e-04,)] [eta: 14:25:05, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 03:16:15,344 INFO: [27..][epoch: 1, step: 40,200, lr:(2.000e-04,)] [eta: 14:23:53, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 03:17:11,294 INFO: [27..][epoch: 1, step: 40,300, lr:(2.000e-04,)] [eta: 14:22:41, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 03:18:09,720 INFO: [27..][epoch: 1, step: 40,400, lr:(2.000e-04,)] [eta: 14:21:34, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 03:19:07,948 INFO: [27..][epoch: 1, step: 40,500, lr:(2.000e-04,)] [eta: 14:20:27, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 03:20:04,052 INFO: [27..][epoch: 1, step: 40,600, lr:(2.000e-04,)] [eta: 14:19:15, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 03:21:01,181 INFO: [27..][epoch: 1, step: 40,700, lr:(2.000e-04,)] [eta: 14:18:06, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 03:21:59,906 INFO: [27..][epoch: 1, step: 40,800, lr:(2.000e-04,)] [eta: 14:17:00, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 03:22:58,855 INFO: [27..][epoch: 1, step: 40,900, lr:(2.000e-04,)] [eta: 14:15:55, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 03:23:57,755 INFO: [27..][epoch: 1, step: 41,000, lr:(2.000e-04,)] [eta: 14:14:49, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:24:56,552 INFO: [27..][epoch: 1, step: 41,100, lr:(2.000e-04,)] [eta: 14:13:44, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 03:25:55,409 INFO: [27..][epoch: 1, step: 41,200, lr:(2.000e-04,)] [eta: 14:12:38, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 03:26:54,285 INFO: [27..][epoch: 1, step: 41,300, lr:(2.000e-04,)] [eta: 14:11:33, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:27:53,237 INFO: [27..][epoch: 1, step: 41,400, lr:(2.000e-04,)] [eta: 14:10:27, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:28:52,185 INFO: [27..][epoch: 1, step: 41,500, lr:(2.000e-04,)] [eta: 14:09:22, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:29:51,141 INFO: [27..][epoch: 1, step: 41,600, lr:(2.000e-04,)] [eta: 14:08:17, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 03:30:49,964 INFO: [27..][epoch: 1, step: 41,700, lr:(2.000e-04,)] [eta: 14:07:12, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 03:31:48,860 INFO: [27..][epoch: 1, step: 41,800, lr:(2.000e-04,)] [eta: 14:06:06, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 03:32:47,498 INFO: [27..][epoch: 1, step: 41,900, lr:(2.000e-04,)] [eta: 14:05:01, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:33:45,657 INFO: [27..][epoch: 1, step: 42,000, lr:(2.000e-04,)] [eta: 14:03:54, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 03:34:43,564 INFO: [27..][epoch: 1, step: 42,100, lr:(2.000e-04,)] [eta: 14:02:47, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 03:35:41,065 INFO: [27..][epoch: 1, step: 42,200, lr:(2.000e-04,)] [eta: 14:01:39, time (data): 0.577 (0.000)] l1_pixel_opt: nan +2025-10-29 03:36:39,679 INFO: [27..][epoch: 1, step: 42,300, lr:(2.000e-04,)] [eta: 14:00:33, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:37:38,463 INFO: [27..][epoch: 1, step: 42,400, lr:(2.000e-04,)] [eta: 13:59:28, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:38:36,963 INFO: [27..][epoch: 1, step: 42,500, lr:(2.000e-04,)] [eta: 13:58:22, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:39:35,149 INFO: [27..][epoch: 1, step: 42,600, lr:(2.000e-04,)] [eta: 13:57:16, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 03:40:33,661 INFO: [27..][epoch: 1, step: 42,700, lr:(2.000e-04,)] [eta: 13:56:10, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:41:32,090 INFO: [27..][epoch: 1, step: 42,800, lr:(2.000e-04,)] [eta: 13:55:04, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:42:30,786 INFO: [27..][epoch: 1, step: 42,900, lr:(2.000e-04,)] [eta: 13:53:59, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:43:29,517 INFO: [27..][epoch: 1, step: 43,000, lr:(2.000e-04,)] [eta: 13:52:54, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:44:28,185 INFO: [27..][epoch: 1, step: 43,100, lr:(2.000e-04,)] [eta: 13:51:49, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:45:26,855 INFO: [27..][epoch: 1, step: 43,200, lr:(2.000e-04,)] [eta: 13:50:43, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:46:24,638 INFO: [27..][epoch: 1, step: 43,300, lr:(2.000e-04,)] [eta: 13:49:36, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 03:47:22,584 INFO: [27..][epoch: 1, step: 43,400, lr:(2.000e-04,)] [eta: 13:48:30, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 03:48:21,070 INFO: [27..][epoch: 1, step: 43,500, lr:(2.000e-04,)] [eta: 13:47:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:49:19,850 INFO: [27..][epoch: 1, step: 43,600, lr:(2.000e-04,)] [eta: 13:46:20, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:50:18,551 INFO: [27..][epoch: 1, step: 43,700, lr:(2.000e-04,)] [eta: 13:45:15, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:51:17,343 INFO: [27..][epoch: 1, step: 43,800, lr:(2.000e-04,)] [eta: 13:44:10, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:52:16,116 INFO: [27..][epoch: 1, step: 43,900, lr:(2.000e-04,)] [eta: 13:43:05, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:53:14,607 INFO: [27..][epoch: 1, step: 44,000, lr:(2.000e-04,)] [eta: 13:42:00, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:54:13,109 INFO: [27..][epoch: 1, step: 44,100, lr:(2.000e-04,)] [eta: 13:40:54, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:55:11,658 INFO: [27..][epoch: 1, step: 44,200, lr:(2.000e-04,)] [eta: 13:39:49, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 03:56:10,250 INFO: [27..][epoch: 1, step: 44,300, lr:(2.000e-04,)] [eta: 13:38:44, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 03:57:09,012 INFO: [27..][epoch: 1, step: 44,400, lr:(2.000e-04,)] [eta: 13:37:39, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 03:58:07,202 INFO: [27..][epoch: 1, step: 44,500, lr:(2.000e-04,)] [eta: 13:36:34, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 03:59:05,123 INFO: [27..][epoch: 1, step: 44,600, lr:(2.000e-04,)] [eta: 13:35:28, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 04:00:02,700 INFO: [27..][epoch: 1, step: 44,700, lr:(2.000e-04,)] [eta: 13:34:21, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 04:01:00,147 INFO: [27..][epoch: 1, step: 44,800, lr:(2.000e-04,)] [eta: 13:33:14, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 04:01:57,542 INFO: [27..][epoch: 1, step: 44,900, lr:(2.000e-04,)] [eta: 13:32:07, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 04:02:56,120 INFO: [27..][epoch: 1, step: 45,000, lr:(2.000e-04,)] [eta: 13:31:02, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 04:02:56,121 INFO: Saving models and training states. +2025-10-29 04:04:52,992 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 04:05:51,557 INFO: [27..][epoch: 1, step: 45,100, lr:(2.000e-04,)] [eta: 13:33:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 04:06:49,469 INFO: [27..][epoch: 1, step: 45,200, lr:(2.000e-04,)] [eta: 13:32:18, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 04:07:47,490 INFO: [27..][epoch: 1, step: 45,300, lr:(2.000e-04,)] [eta: 13:31:11, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 04:08:44,947 INFO: [27..][epoch: 1, step: 45,400, lr:(2.000e-04,)] [eta: 13:30:04, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 04:09:42,910 INFO: [27..][epoch: 1, step: 45,500, lr:(2.000e-04,)] [eta: 13:28:57, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:10:41,249 INFO: [27..][epoch: 1, step: 45,600, lr:(2.000e-04,)] [eta: 13:27:51, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:11:38,925 INFO: [27..][epoch: 1, step: 45,700, lr:(2.000e-04,)] [eta: 13:26:45, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 04:12:36,686 INFO: [27..][epoch: 1, step: 45,800, lr:(2.000e-04,)] [eta: 13:25:38, time (data): 0.577 (0.000)] l1_pixel_opt: nan +2025-10-29 04:13:35,314 INFO: [27..][epoch: 1, step: 45,900, lr:(2.000e-04,)] [eta: 13:24:33, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 04:14:34,302 INFO: [27..][epoch: 1, step: 46,000, lr:(2.000e-04,)] [eta: 13:23:28, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 04:15:33,383 INFO: [27..][epoch: 1, step: 46,100, lr:(2.000e-04,)] [eta: 13:22:24, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 04:16:31,904 INFO: [27..][epoch: 1, step: 46,200, lr:(2.000e-04,)] [eta: 13:21:18, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 04:17:30,651 INFO: [27..][epoch: 1, step: 46,300, lr:(2.000e-04,)] [eta: 13:20:14, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 04:18:29,237 INFO: [27..][epoch: 1, step: 46,400, lr:(2.000e-04,)] [eta: 13:19:08, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 04:19:27,871 INFO: [27..][epoch: 1, step: 46,500, lr:(2.000e-04,)] [eta: 13:18:03, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 04:20:26,672 INFO: [27..][epoch: 1, step: 46,600, lr:(2.000e-04,)] [eta: 13:16:59, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 04:21:25,194 INFO: [27..][epoch: 1, step: 46,700, lr:(2.000e-04,)] [eta: 13:15:54, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 04:22:30,749 INFO: [27..][epoch: 1, step: 46,800, lr:(2.000e-04,)] [eta: 13:15:00, time (data): 0.627 (0.000)] l1_pixel_opt: nan +2025-10-29 04:23:27,945 INFO: [27..][epoch: 1, step: 46,900, lr:(2.000e-04,)] [eta: 13:13:53, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 04:24:26,496 INFO: [27..][epoch: 1, step: 47,000, lr:(2.000e-04,)] [eta: 13:12:48, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 04:25:25,097 INFO: [27..][epoch: 1, step: 47,100, lr:(2.000e-04,)] [eta: 13:11:43, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 04:26:23,452 INFO: [27..][epoch: 1, step: 47,200, lr:(2.000e-04,)] [eta: 13:10:38, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:27:21,567 INFO: [27..][epoch: 1, step: 47,300, lr:(2.000e-04,)] [eta: 13:09:32, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 04:28:19,403 INFO: [27..][epoch: 1, step: 47,400, lr:(2.000e-04,)] [eta: 13:08:26, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 04:29:17,200 INFO: [27..][epoch: 1, step: 47,500, lr:(2.000e-04,)] [eta: 13:07:20, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 04:30:15,549 INFO: [27..][epoch: 1, step: 47,600, lr:(2.000e-04,)] [eta: 13:06:15, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:31:18,431 INFO: [27..][epoch: 1, step: 47,700, lr:(2.000e-04,)] [eta: 13:05:17, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 04:32:14,902 INFO: [27..][epoch: 1, step: 47,800, lr:(2.000e-04,)] [eta: 13:04:09, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 04:33:11,700 INFO: [27..][epoch: 1, step: 47,900, lr:(2.000e-04,)] [eta: 13:03:01, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 04:34:09,181 INFO: [27..][epoch: 1, step: 48,000, lr:(2.000e-04,)] [eta: 13:01:54, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 04:35:06,064 INFO: [27..][epoch: 1, step: 48,100, lr:(2.000e-04,)] [eta: 13:00:47, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 04:36:02,041 INFO: [27..][epoch: 1, step: 48,200, lr:(2.000e-04,)] [eta: 12:59:38, time (data): 0.564 (0.000)] l1_pixel_opt: nan +2025-10-29 04:36:58,151 INFO: [27..][epoch: 1, step: 48,300, lr:(2.000e-04,)] [eta: 12:58:30, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-29 04:37:56,471 INFO: [27..][epoch: 1, step: 48,400, lr:(2.000e-04,)] [eta: 12:57:25, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 04:38:54,931 INFO: [27..][epoch: 1, step: 48,500, lr:(2.000e-04,)] [eta: 12:56:20, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:39:52,772 INFO: [27..][epoch: 1, step: 48,600, lr:(2.000e-04,)] [eta: 12:55:14, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 04:40:51,022 INFO: [27..][epoch: 1, step: 48,700, lr:(2.000e-04,)] [eta: 12:54:09, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:41:49,186 INFO: [27..][epoch: 1, step: 48,800, lr:(2.000e-04,)] [eta: 12:53:04, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 04:42:47,487 INFO: [27..][epoch: 1, step: 48,900, lr:(2.000e-04,)] [eta: 12:51:59, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 04:43:46,017 INFO: [27..][epoch: 1, step: 49,000, lr:(2.000e-04,)] [eta: 12:50:55, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:44:44,408 INFO: [27..][epoch: 1, step: 49,100, lr:(2.000e-04,)] [eta: 12:49:50, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 04:45:42,820 INFO: [27..][epoch: 1, step: 49,200, lr:(2.000e-04,)] [eta: 12:48:46, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 04:46:41,208 INFO: [27..][epoch: 1, step: 49,300, lr:(2.000e-04,)] [eta: 12:47:41, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 04:47:38,719 INFO: [27..][epoch: 1, step: 49,400, lr:(2.000e-04,)] [eta: 12:46:35, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 04:48:36,206 INFO: [27..][epoch: 1, step: 49,500, lr:(2.000e-04,)] [eta: 12:45:29, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 04:49:34,769 INFO: [27..][epoch: 1, step: 49,600, lr:(2.000e-04,)] [eta: 12:44:25, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 04:50:33,391 INFO: [27..][epoch: 1, step: 49,700, lr:(2.000e-04,)] [eta: 12:43:20, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 04:51:31,950 INFO: [27..][epoch: 1, step: 49,800, lr:(2.000e-04,)] [eta: 12:42:16, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 04:52:34,835 INFO: [27..][epoch: 1, step: 49,900, lr:(2.000e-04,)] [eta: 12:41:19, time (data): 0.553 (0.000)] l1_pixel_opt: nan +2025-10-29 04:53:31,850 INFO: [27..][epoch: 1, step: 50,000, lr:(2.000e-04,)] [eta: 12:40:12, time (data): 0.564 (0.000)] l1_pixel_opt: nan +2025-10-29 04:53:31,851 INFO: Saving models and training states. +2025-10-29 04:55:27,347 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 04:56:25,393 INFO: [27..][epoch: 1, step: 50,100, lr:(2.000e-04,)] [eta: 12:42:00, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 04:57:21,327 INFO: [27..][epoch: 1, step: 50,200, lr:(2.000e-04,)] [eta: 12:40:51, time (data): 0.564 (0.000)] l1_pixel_opt: nan +2025-10-29 04:58:17,809 INFO: [27..][epoch: 1, step: 50,300, lr:(2.000e-04,)] [eta: 12:39:43, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 04:59:14,474 INFO: [27..][epoch: 1, step: 50,400, lr:(2.000e-04,)] [eta: 12:38:36, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 05:00:10,889 INFO: [27..][epoch: 1, step: 50,500, lr:(2.000e-04,)] [eta: 12:37:28, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 05:01:07,984 INFO: [27..][epoch: 1, step: 50,600, lr:(2.000e-04,)] [eta: 12:36:21, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 05:02:05,338 INFO: [27..][epoch: 1, step: 50,700, lr:(2.000e-04,)] [eta: 12:35:15, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 05:03:01,139 INFO: [27..][epoch: 1, step: 50,800, lr:(2.000e-04,)] [eta: 12:34:06, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 05:03:56,983 INFO: [27..][epoch: 1, step: 50,900, lr:(2.000e-04,)] [eta: 12:32:58, time (data): 0.558 (0.000)] l1_pixel_opt: nan +2025-10-29 05:04:52,569 INFO: [27..][epoch: 1, step: 51,000, lr:(2.000e-04,)] [eta: 12:31:49, time (data): 0.557 (0.000)] l1_pixel_opt: nan +2025-10-29 05:05:47,427 INFO: [27..][epoch: 1, step: 51,100, lr:(2.000e-04,)] [eta: 12:30:39, time (data): 0.549 (0.000)] l1_pixel_opt: nan +2025-10-29 05:06:44,406 INFO: [27..][epoch: 1, step: 51,200, lr:(2.000e-04,)] [eta: 12:29:33, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 05:07:43,137 INFO: [27..][epoch: 1, step: 51,300, lr:(2.000e-04,)] [eta: 12:28:29, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 05:08:42,110 INFO: [27..][epoch: 1, step: 51,400, lr:(2.000e-04,)] [eta: 12:27:25, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:09:41,015 INFO: [27..][epoch: 1, step: 51,500, lr:(2.000e-04,)] [eta: 12:26:21, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:10:39,998 INFO: [27..][epoch: 1, step: 51,600, lr:(2.000e-04,)] [eta: 12:25:17, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:11:38,949 INFO: [27..][epoch: 1, step: 51,700, lr:(2.000e-04,)] [eta: 12:24:14, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:12:37,908 INFO: [27..][epoch: 1, step: 51,800, lr:(2.000e-04,)] [eta: 12:23:10, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:13:36,558 INFO: [27..][epoch: 1, step: 51,900, lr:(2.000e-04,)] [eta: 12:22:06, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:14:35,195 INFO: [27..][epoch: 1, step: 52,000, lr:(2.000e-04,)] [eta: 12:21:02, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:15:33,928 INFO: [27..][epoch: 1, step: 52,100, lr:(2.000e-04,)] [eta: 12:19:58, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:16:31,820 INFO: [27..][epoch: 1, step: 52,200, lr:(2.000e-04,)] [eta: 12:18:53, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 05:17:30,581 INFO: [27..][epoch: 1, step: 52,300, lr:(2.000e-04,)] [eta: 12:17:49, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:18:29,535 INFO: [27..][epoch: 1, step: 52,400, lr:(2.000e-04,)] [eta: 12:16:45, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:19:28,491 INFO: [27..][epoch: 1, step: 52,500, lr:(2.000e-04,)] [eta: 12:15:42, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:20:26,906 INFO: [27..][epoch: 1, step: 52,600, lr:(2.000e-04,)] [eta: 12:14:37, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:21:25,053 INFO: [27..][epoch: 1, step: 52,700, lr:(2.000e-04,)] [eta: 12:13:33, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 05:22:21,161 INFO: [27..][epoch: 1, step: 52,800, lr:(2.000e-04,)] [eta: 12:12:25, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 05:23:17,212 INFO: [27..][epoch: 1, step: 52,900, lr:(2.000e-04,)] [eta: 12:11:18, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 05:24:15,238 INFO: [27..][epoch: 1, step: 53,000, lr:(2.000e-04,)] [eta: 12:10:13, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 05:25:13,416 INFO: [27..][epoch: 1, step: 53,100, lr:(2.000e-04,)] [eta: 12:09:09, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 05:26:11,131 INFO: [27..][epoch: 1, step: 53,200, lr:(2.000e-04,)] [eta: 12:08:04, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 05:27:09,516 INFO: [27..][epoch: 1, step: 53,300, lr:(2.000e-04,)] [eta: 12:06:59, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 05:28:06,802 INFO: [27..][epoch: 1, step: 53,400, lr:(2.000e-04,)] [eta: 12:05:54, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 05:29:04,674 INFO: [27..][epoch: 1, step: 53,500, lr:(2.000e-04,)] [eta: 12:04:49, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 05:30:01,584 INFO: [27..][epoch: 1, step: 53,600, lr:(2.000e-04,)] [eta: 12:03:43, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 05:31:00,020 INFO: [27..][epoch: 1, step: 53,700, lr:(2.000e-04,)] [eta: 12:02:39, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 05:31:57,681 INFO: [27..][epoch: 1, step: 53,800, lr:(2.000e-04,)] [eta: 12:01:34, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 05:32:53,430 INFO: [27..][epoch: 1, step: 53,900, lr:(2.000e-04,)] [eta: 12:00:27, time (data): 0.552 (0.000)] l1_pixel_opt: nan +2025-10-29 05:33:52,718 INFO: [27..][epoch: 1, step: 54,000, lr:(2.000e-04,)] [eta: 11:59:24, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 05:34:50,638 INFO: [27..][epoch: 1, step: 54,100, lr:(2.000e-04,)] [eta: 11:58:19, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:35:49,422 INFO: [27..][epoch: 1, step: 54,200, lr:(2.000e-04,)] [eta: 11:57:16, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 05:36:48,432 INFO: [27..][epoch: 1, step: 54,300, lr:(2.000e-04,)] [eta: 11:56:13, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 05:37:47,549 INFO: [27..][epoch: 1, step: 54,400, lr:(2.000e-04,)] [eta: 11:55:10, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 05:38:46,550 INFO: [27..][epoch: 1, step: 54,500, lr:(2.000e-04,)] [eta: 11:54:07, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:39:45,532 INFO: [27..][epoch: 1, step: 54,600, lr:(2.000e-04,)] [eta: 11:53:04, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:40:44,400 INFO: [27..][epoch: 1, step: 54,700, lr:(2.000e-04,)] [eta: 11:52:00, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 05:41:43,373 INFO: [27..][epoch: 1, step: 54,800, lr:(2.000e-04,)] [eta: 11:50:57, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:42:41,738 INFO: [27..][epoch: 1, step: 54,900, lr:(2.000e-04,)] [eta: 11:49:53, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 05:43:40,558 INFO: [27..][epoch: 1, step: 55,000, lr:(2.000e-04,)] [eta: 11:48:50, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 05:43:40,560 INFO: Saving models and training states. +2025-10-29 05:45:37,136 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 05:46:33,519 INFO: [27..][epoch: 1, step: 55,100, lr:(2.000e-04,)] [eta: 11:50:12, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 05:47:30,842 INFO: [27..][epoch: 1, step: 55,200, lr:(2.000e-04,)] [eta: 11:49:06, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 05:48:29,153 INFO: [27..][epoch: 1, step: 55,300, lr:(2.000e-04,)] [eta: 11:48:02, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:49:28,176 INFO: [27..][epoch: 1, step: 55,400, lr:(2.000e-04,)] [eta: 11:46:59, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:50:26,921 INFO: [27..][epoch: 1, step: 55,500, lr:(2.000e-04,)] [eta: 11:45:55, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 05:51:25,900 INFO: [27..][epoch: 1, step: 55,600, lr:(2.000e-04,)] [eta: 11:44:51, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:52:24,861 INFO: [27..][epoch: 1, step: 55,700, lr:(2.000e-04,)] [eta: 11:43:48, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:53:23,831 INFO: [27..][epoch: 1, step: 55,800, lr:(2.000e-04,)] [eta: 11:42:45, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:54:22,811 INFO: [27..][epoch: 1, step: 55,900, lr:(2.000e-04,)] [eta: 11:41:41, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:55:21,847 INFO: [27..][epoch: 1, step: 56,000, lr:(2.000e-04,)] [eta: 11:40:38, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:56:20,794 INFO: [27..][epoch: 1, step: 56,100, lr:(2.000e-04,)] [eta: 11:39:35, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 05:57:19,764 INFO: [27..][epoch: 1, step: 56,200, lr:(2.000e-04,)] [eta: 11:38:31, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 05:58:18,745 INFO: [27..][epoch: 1, step: 56,300, lr:(2.000e-04,)] [eta: 11:37:28, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 05:59:16,956 INFO: [27..][epoch: 1, step: 56,400, lr:(2.000e-04,)] [eta: 11:36:24, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 06:00:14,834 INFO: [27..][epoch: 1, step: 56,500, lr:(2.000e-04,)] [eta: 11:35:19, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 06:01:11,535 INFO: [27..][epoch: 1, step: 56,600, lr:(2.000e-04,)] [eta: 11:34:13, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 06:02:08,383 INFO: [27..][epoch: 1, step: 56,700, lr:(2.000e-04,)] [eta: 11:33:08, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:03:06,430 INFO: [27..][epoch: 1, step: 56,800, lr:(2.000e-04,)] [eta: 11:32:03, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 06:04:04,556 INFO: [27..][epoch: 1, step: 56,900, lr:(2.000e-04,)] [eta: 11:30:59, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:05:03,497 INFO: [27..][epoch: 1, step: 57,000, lr:(2.000e-04,)] [eta: 11:29:56, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 06:06:02,469 INFO: [27..][epoch: 1, step: 57,100, lr:(2.000e-04,)] [eta: 11:28:53, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:07:01,377 INFO: [27..][epoch: 1, step: 57,200, lr:(2.000e-04,)] [eta: 11:27:49, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 06:08:00,308 INFO: [27..][epoch: 1, step: 57,300, lr:(2.000e-04,)] [eta: 11:26:46, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:08:59,207 INFO: [27..][epoch: 1, step: 57,400, lr:(2.000e-04,)] [eta: 11:25:43, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 06:09:58,143 INFO: [27..][epoch: 1, step: 57,500, lr:(2.000e-04,)] [eta: 11:24:40, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:10:57,111 INFO: [27..][epoch: 1, step: 57,600, lr:(2.000e-04,)] [eta: 11:23:37, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:11:56,165 INFO: [27..][epoch: 1, step: 57,700, lr:(2.000e-04,)] [eta: 11:22:34, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:12:55,126 INFO: [27..][epoch: 1, step: 57,800, lr:(2.000e-04,)] [eta: 11:21:31, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 06:13:53,745 INFO: [27..][epoch: 1, step: 57,900, lr:(2.000e-04,)] [eta: 11:20:27, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 06:14:52,375 INFO: [27..][epoch: 1, step: 58,000, lr:(2.000e-04,)] [eta: 11:19:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:15:48,514 INFO: [27..][epoch: 1, step: 58,100, lr:(2.000e-04,)] [eta: 11:18:18, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 06:16:47,208 INFO: [27..][epoch: 1, step: 58,200, lr:(2.000e-04,)] [eta: 11:17:15, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:17:46,053 INFO: [27..][epoch: 1, step: 58,300, lr:(2.000e-04,)] [eta: 11:16:11, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 06:18:44,959 INFO: [27..][epoch: 1, step: 58,400, lr:(2.000e-04,)] [eta: 11:15:08, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 06:19:42,564 INFO: [27..][epoch: 1, step: 58,500, lr:(2.000e-04,)] [eta: 11:14:04, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 06:20:41,334 INFO: [27..][epoch: 1, step: 58,600, lr:(2.000e-04,)] [eta: 11:13:01, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 06:21:40,283 INFO: [27..][epoch: 1, step: 58,700, lr:(2.000e-04,)] [eta: 11:11:58, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 06:22:39,087 INFO: [27..][epoch: 1, step: 58,800, lr:(2.000e-04,)] [eta: 11:10:55, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 06:23:37,556 INFO: [27..][epoch: 1, step: 58,900, lr:(2.000e-04,)] [eta: 11:09:51, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 06:24:36,204 INFO: [27..][epoch: 1, step: 59,000, lr:(2.000e-04,)] [eta: 11:08:48, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:25:34,777 INFO: [27..][epoch: 1, step: 59,100, lr:(2.000e-04,)] [eta: 11:07:45, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:26:33,310 INFO: [27..][epoch: 1, step: 59,200, lr:(2.000e-04,)] [eta: 11:06:42, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 06:27:31,198 INFO: [27..][epoch: 1, step: 59,300, lr:(2.000e-04,)] [eta: 11:05:37, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 06:28:28,102 INFO: [27..][epoch: 1, step: 59,400, lr:(2.000e-04,)] [eta: 11:04:32, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 06:29:26,691 INFO: [27..][epoch: 1, step: 59,500, lr:(2.000e-04,)] [eta: 11:03:29, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 06:30:23,939 INFO: [27..][epoch: 1, step: 59,600, lr:(2.000e-04,)] [eta: 11:02:25, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 06:31:20,695 INFO: [27..][epoch: 1, step: 59,700, lr:(2.000e-04,)] [eta: 11:01:19, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 06:32:18,352 INFO: [27..][epoch: 1, step: 59,800, lr:(2.000e-04,)] [eta: 11:00:15, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 06:33:16,539 INFO: [27..][epoch: 1, step: 59,900, lr:(2.000e-04,)] [eta: 10:59:12, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 06:34:14,397 INFO: [27..][epoch: 1, step: 60,000, lr:(2.000e-04,)] [eta: 10:58:08, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 06:34:14,398 INFO: Saving models and training states. +2025-10-29 06:36:09,453 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 06:37:05,414 INFO: [27..][epoch: 1, step: 60,100, lr:(2.000e-04,)] [eta: 10:59:06, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 06:38:03,677 INFO: [27..][epoch: 1, step: 60,200, lr:(2.000e-04,)] [eta: 10:58:02, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 06:39:02,307 INFO: [27..][epoch: 1, step: 60,300, lr:(2.000e-04,)] [eta: 10:56:59, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 06:40:00,285 INFO: [27..][epoch: 1, step: 60,400, lr:(2.000e-04,)] [eta: 10:55:55, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 06:40:57,876 INFO: [27..][epoch: 1, step: 60,500, lr:(2.000e-04,)] [eta: 10:54:50, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 06:42:00,676 INFO: [27..][epoch: 1, step: 60,600, lr:(2.000e-04,)] [eta: 10:53:51, time (data): 0.629 (0.000)] l1_pixel_opt: nan +2025-10-29 06:42:58,088 INFO: [27..][epoch: 1, step: 60,700, lr:(2.000e-04,)] [eta: 10:52:47, time (data): 0.601 (0.000)] l1_pixel_opt: nan +2025-10-29 06:43:55,054 INFO: [27..][epoch: 1, step: 60,800, lr:(2.000e-04,)] [eta: 10:51:42, time (data): 0.569 (0.000)] l1_pixel_opt: nan +2025-10-29 06:44:53,030 INFO: [27..][epoch: 1, step: 60,900, lr:(2.000e-04,)] [eta: 10:50:38, time (data): 0.575 (0.000)] l1_pixel_opt: nan +2025-10-29 06:45:50,327 INFO: [27..][epoch: 1, step: 61,000, lr:(2.000e-04,)] [eta: 10:49:33, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 06:46:48,187 INFO: [27..][epoch: 1, step: 61,100, lr:(2.000e-04,)] [eta: 10:48:29, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 06:47:45,644 INFO: [27..][epoch: 1, step: 61,200, lr:(2.000e-04,)] [eta: 10:47:24, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 06:48:49,371 INFO: [27..][epoch: 1, step: 61,300, lr:(2.000e-04,)] [eta: 10:46:27, time (data): 0.606 (0.000)] l1_pixel_opt: nan +2025-10-29 06:49:45,423 INFO: [27..][epoch: 1, step: 61,400, lr:(2.000e-04,)] [eta: 10:45:21, time (data): 0.561 (0.000)] l1_pixel_opt: nan +2025-10-29 06:50:43,338 INFO: [27..][epoch: 1, step: 61,500, lr:(2.000e-04,)] [eta: 10:44:17, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 06:51:41,916 INFO: [27..][epoch: 1, step: 61,600, lr:(2.000e-04,)] [eta: 10:43:13, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 06:52:40,032 INFO: [27..][epoch: 1, step: 61,700, lr:(2.000e-04,)] [eta: 10:42:10, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 06:53:38,051 INFO: [27..][epoch: 1, step: 61,800, lr:(2.000e-04,)] [eta: 10:41:06, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 06:54:34,124 INFO: [27..][epoch: 1, step: 61,900, lr:(2.000e-04,)] [eta: 10:40:00, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 06:55:30,617 INFO: [27..][epoch: 1, step: 62,000, lr:(2.000e-04,)] [eta: 10:38:55, time (data): 0.565 (0.000)] l1_pixel_opt: nan +2025-10-29 06:56:28,192 INFO: [27..][epoch: 1, step: 62,100, lr:(2.000e-04,)] [eta: 10:37:51, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 06:57:25,921 INFO: [27..][epoch: 1, step: 62,200, lr:(2.000e-04,)] [eta: 10:36:47, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 06:58:24,902 INFO: [27..][epoch: 1, step: 62,300, lr:(2.000e-04,)] [eta: 10:35:44, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 06:59:23,703 INFO: [27..][epoch: 1, step: 62,400, lr:(2.000e-04,)] [eta: 10:34:41, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 07:00:22,443 INFO: [27..][epoch: 1, step: 62,500, lr:(2.000e-04,)] [eta: 10:33:38, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 07:01:20,644 INFO: [27..][epoch: 1, step: 62,600, lr:(2.000e-04,)] [eta: 10:32:35, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 07:02:19,323 INFO: [27..][epoch: 1, step: 62,700, lr:(2.000e-04,)] [eta: 10:31:32, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 07:03:17,968 INFO: [27..][epoch: 1, step: 62,800, lr:(2.000e-04,)] [eta: 10:30:29, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 07:04:16,682 INFO: [27..][epoch: 1, step: 62,900, lr:(2.000e-04,)] [eta: 10:29:26, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 07:05:15,157 INFO: [27..][epoch: 1, step: 63,000, lr:(2.000e-04,)] [eta: 10:28:23, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 07:06:13,836 INFO: [27..][epoch: 1, step: 63,100, lr:(2.000e-04,)] [eta: 10:27:20, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 07:07:12,410 INFO: [27..][epoch: 1, step: 63,200, lr:(2.000e-04,)] [eta: 10:26:17, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 07:08:10,305 INFO: [27..][epoch: 1, step: 63,300, lr:(2.000e-04,)] [eta: 10:25:13, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 07:09:07,454 INFO: [27..][epoch: 1, step: 63,400, lr:(2.000e-04,)] [eta: 10:24:09, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 07:10:03,425 INFO: [27..][epoch: 1, step: 63,500, lr:(2.000e-04,)] [eta: 10:23:03, time (data): 0.565 (0.000)] l1_pixel_opt: nan +2025-10-29 07:10:59,541 INFO: [27..][epoch: 1, step: 63,600, lr:(2.000e-04,)] [eta: 10:21:58, time (data): 0.561 (0.000)] l1_pixel_opt: nan +2025-10-29 07:12:02,040 INFO: [27..][epoch: 1, step: 63,700, lr:(2.000e-04,)] [eta: 10:20:59, time (data): 0.596 (0.000)] l1_pixel_opt: nan +2025-10-29 07:12:58,449 INFO: [27..][epoch: 1, step: 63,800, lr:(2.000e-04,)] [eta: 10:19:54, time (data): 0.565 (0.000)] l1_pixel_opt: nan +2025-10-29 07:13:56,501 INFO: [27..][epoch: 1, step: 63,900, lr:(2.000e-04,)] [eta: 10:18:51, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 07:14:54,105 INFO: [27..][epoch: 1, step: 64,000, lr:(2.000e-04,)] [eta: 10:17:47, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 07:15:50,731 INFO: [27..][epoch: 1, step: 64,100, lr:(2.000e-04,)] [eta: 10:16:42, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 07:16:47,850 INFO: [27..][epoch: 1, step: 64,200, lr:(2.000e-04,)] [eta: 10:15:38, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 07:17:45,347 INFO: [27..][epoch: 1, step: 64,300, lr:(2.000e-04,)] [eta: 10:14:34, time (data): 0.574 (0.000)] l1_pixel_opt: nan +2025-10-29 07:18:43,361 INFO: [27..][epoch: 1, step: 64,400, lr:(2.000e-04,)] [eta: 10:13:31, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 07:19:41,210 INFO: [27..][epoch: 1, step: 64,500, lr:(2.000e-04,)] [eta: 10:12:27, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 07:20:39,441 INFO: [27..][epoch: 1, step: 64,600, lr:(2.000e-04,)] [eta: 10:11:24, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 07:21:37,476 INFO: [27..][epoch: 1, step: 64,700, lr:(2.000e-04,)] [eta: 10:10:21, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 07:22:35,931 INFO: [27..][epoch: 1, step: 64,800, lr:(2.000e-04,)] [eta: 10:09:18, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:23:34,460 INFO: [27..][epoch: 1, step: 64,900, lr:(2.000e-04,)] [eta: 10:08:15, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 07:24:32,976 INFO: [27..][epoch: 1, step: 65,000, lr:(2.000e-04,)] [eta: 10:07:13, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 07:24:32,978 INFO: Saving models and training states. +2025-10-29 07:26:28,314 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 07:27:27,008 INFO: [27..][epoch: 1, step: 65,100, lr:(2.000e-04,)] [eta: 10:07:56, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 07:28:25,115 INFO: [27..][epoch: 1, step: 65,200, lr:(2.000e-04,)] [eta: 10:06:53, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 07:29:21,064 INFO: [27..][epoch: 1, step: 65,300, lr:(2.000e-04,)] [eta: 10:05:47, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 07:30:18,859 INFO: [27..][epoch: 1, step: 65,400, lr:(2.000e-04,)] [eta: 10:04:44, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 07:31:17,923 INFO: [27..][epoch: 1, step: 65,500, lr:(2.000e-04,)] [eta: 10:03:41, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:32:17,080 INFO: [27..][epoch: 1, step: 65,600, lr:(2.000e-04,)] [eta: 10:02:39, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-29 07:33:15,731 INFO: [27..][epoch: 1, step: 65,700, lr:(2.000e-04,)] [eta: 10:01:36, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 07:34:14,171 INFO: [27..][epoch: 1, step: 65,800, lr:(2.000e-04,)] [eta: 10:00:33, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 07:35:10,565 INFO: [27..][epoch: 1, step: 65,900, lr:(2.000e-04,)] [eta: 9:59:28, time (data): 0.573 (0.000)] l1_pixel_opt: nan +2025-10-29 07:36:06,910 INFO: [27..][epoch: 1, step: 66,000, lr:(2.000e-04,)] [eta: 9:58:23, time (data): 0.565 (0.000)] l1_pixel_opt: nan +2025-10-29 07:37:03,066 INFO: [27..][epoch: 1, step: 66,100, lr:(2.000e-04,)] [eta: 9:57:18, time (data): 0.563 (0.000)] l1_pixel_opt: nan +2025-10-29 07:37:59,065 INFO: [27..][epoch: 1, step: 66,200, lr:(2.000e-04,)] [eta: 9:56:13, time (data): 0.560 (0.000)] l1_pixel_opt: nan +2025-10-29 07:38:57,880 INFO: [27..][epoch: 1, step: 66,300, lr:(2.000e-04,)] [eta: 9:55:10, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 07:39:56,289 INFO: [27..][epoch: 1, step: 66,400, lr:(2.000e-04,)] [eta: 9:54:07, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 07:40:55,307 INFO: [27..][epoch: 1, step: 66,500, lr:(2.000e-04,)] [eta: 9:53:05, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:41:54,329 INFO: [27..][epoch: 1, step: 66,600, lr:(2.000e-04,)] [eta: 9:52:02, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 07:42:53,311 INFO: [27..][epoch: 1, step: 66,700, lr:(2.000e-04,)] [eta: 9:51:00, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 07:43:52,371 INFO: [27..][epoch: 1, step: 66,800, lr:(2.000e-04,)] [eta: 9:49:57, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 07:44:51,001 INFO: [27..][epoch: 1, step: 66,900, lr:(2.000e-04,)] [eta: 9:48:55, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:45:49,800 INFO: [27..][epoch: 1, step: 67,000, lr:(2.000e-04,)] [eta: 9:47:52, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:46:48,115 INFO: [27..][epoch: 1, step: 67,100, lr:(2.000e-04,)] [eta: 9:46:49, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 07:47:45,863 INFO: [27..][epoch: 1, step: 67,200, lr:(2.000e-04,)] [eta: 9:45:46, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 07:48:44,802 INFO: [27..][epoch: 1, step: 67,300, lr:(2.000e-04,)] [eta: 9:44:43, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 07:49:44,013 INFO: [27..][epoch: 1, step: 67,400, lr:(2.000e-04,)] [eta: 9:43:41, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-29 07:50:41,889 INFO: [27..][epoch: 1, step: 67,500, lr:(2.000e-04,)] [eta: 9:42:38, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 07:51:40,565 INFO: [27..][epoch: 1, step: 67,600, lr:(2.000e-04,)] [eta: 9:41:35, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 07:52:38,857 INFO: [27..][epoch: 1, step: 67,700, lr:(2.000e-04,)] [eta: 9:40:32, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 07:53:37,935 INFO: [27..][epoch: 1, step: 67,800, lr:(2.000e-04,)] [eta: 9:39:30, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 07:54:36,517 INFO: [27..][epoch: 1, step: 67,900, lr:(2.000e-04,)] [eta: 9:38:27, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 07:55:35,479 INFO: [27..][epoch: 1, step: 68,000, lr:(2.000e-04,)] [eta: 9:37:25, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 07:56:33,983 INFO: [27..][epoch: 1, step: 68,100, lr:(2.000e-04,)] [eta: 9:36:22, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 07:57:31,011 INFO: [27..][epoch: 1, step: 68,200, lr:(2.000e-04,)] [eta: 9:35:19, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 07:58:27,794 INFO: [27..][epoch: 1, step: 68,300, lr:(2.000e-04,)] [eta: 9:34:14, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 07:59:25,971 INFO: [27..][epoch: 1, step: 68,400, lr:(2.000e-04,)] [eta: 9:33:12, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 08:00:24,678 INFO: [27..][epoch: 1, step: 68,500, lr:(2.000e-04,)] [eta: 9:32:09, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:01:23,286 INFO: [27..][epoch: 1, step: 68,600, lr:(2.000e-04,)] [eta: 9:31:07, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:02:22,029 INFO: [27..][epoch: 1, step: 68,700, lr:(2.000e-04,)] [eta: 9:30:04, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:03:20,608 INFO: [27..][epoch: 1, step: 68,800, lr:(2.000e-04,)] [eta: 9:29:02, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:04:19,649 INFO: [27..][epoch: 1, step: 68,900, lr:(2.000e-04,)] [eta: 9:27:59, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 08:05:18,563 INFO: [27..][epoch: 1, step: 69,000, lr:(2.000e-04,)] [eta: 9:26:57, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 08:06:17,483 INFO: [27..][epoch: 1, step: 69,100, lr:(2.000e-04,)] [eta: 9:25:55, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 08:07:16,246 INFO: [27..][epoch: 1, step: 69,200, lr:(2.000e-04,)] [eta: 9:24:53, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:08:14,992 INFO: [27..][epoch: 1, step: 69,300, lr:(2.000e-04,)] [eta: 9:23:50, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:09:13,934 INFO: [27..][epoch: 1, step: 69,400, lr:(2.000e-04,)] [eta: 9:22:48, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 08:10:12,245 INFO: [27..][epoch: 1, step: 69,500, lr:(2.000e-04,)] [eta: 9:21:45, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:11:10,624 INFO: [27..][epoch: 1, step: 69,600, lr:(2.000e-04,)] [eta: 9:20:43, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 08:12:08,541 INFO: [27..][epoch: 1, step: 69,700, lr:(2.000e-04,)] [eta: 9:19:40, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 08:13:07,325 INFO: [27..][epoch: 1, step: 69,800, lr:(2.000e-04,)] [eta: 9:18:38, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:14:05,018 INFO: [27..][epoch: 1, step: 69,900, lr:(2.000e-04,)] [eta: 9:17:35, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 08:15:03,124 INFO: [27..][epoch: 1, step: 70,000, lr:(2.000e-04,)] [eta: 9:16:32, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 08:15:03,125 INFO: Saving models and training states. +2025-10-29 08:16:57,587 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 08:17:56,123 INFO: [27..][epoch: 1, step: 70,100, lr:(2.000e-04,)] [eta: 9:16:59, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:18:53,589 INFO: [27..][epoch: 1, step: 70,200, lr:(2.000e-04,)] [eta: 9:15:55, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 08:19:50,836 INFO: [27..][epoch: 1, step: 70,300, lr:(2.000e-04,)] [eta: 9:14:52, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 08:20:48,663 INFO: [27..][epoch: 1, step: 70,400, lr:(2.000e-04,)] [eta: 9:13:49, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 08:21:45,789 INFO: [27..][epoch: 1, step: 70,500, lr:(2.000e-04,)] [eta: 9:12:45, time (data): 0.571 (0.000)] l1_pixel_opt: nan +2025-10-29 08:22:44,866 INFO: [27..][epoch: 1, step: 70,600, lr:(2.000e-04,)] [eta: 9:11:43, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 08:23:43,887 INFO: [27..][epoch: 1, step: 70,700, lr:(2.000e-04,)] [eta: 9:10:40, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 08:24:42,575 INFO: [27..][epoch: 1, step: 70,800, lr:(2.000e-04,)] [eta: 9:09:38, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 08:25:40,648 INFO: [27..][epoch: 1, step: 70,900, lr:(2.000e-04,)] [eta: 9:08:35, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 08:26:39,105 INFO: [27..][epoch: 1, step: 71,000, lr:(2.000e-04,)] [eta: 9:07:32, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 08:27:37,351 INFO: [27..][epoch: 1, step: 71,100, lr:(2.000e-04,)] [eta: 9:06:29, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 08:28:34,859 INFO: [27..][epoch: 1, step: 71,200, lr:(2.000e-04,)] [eta: 9:05:26, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 08:29:34,107 INFO: [27..][epoch: 1, step: 71,300, lr:(2.000e-04,)] [eta: 9:04:24, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:30:33,042 INFO: [27..][epoch: 1, step: 71,400, lr:(2.000e-04,)] [eta: 9:03:22, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:31:31,477 INFO: [27..][epoch: 1, step: 71,500, lr:(2.000e-04,)] [eta: 9:02:19, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:32:30,233 INFO: [27..][epoch: 1, step: 71,600, lr:(2.000e-04,)] [eta: 9:01:17, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:33:28,796 INFO: [27..][epoch: 1, step: 71,700, lr:(2.000e-04,)] [eta: 9:00:14, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:34:27,111 INFO: [27..][epoch: 1, step: 71,800, lr:(2.000e-04,)] [eta: 8:59:12, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:35:25,961 INFO: [27..][epoch: 1, step: 71,900, lr:(2.000e-04,)] [eta: 8:58:09, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:36:23,834 INFO: [27..][epoch: 1, step: 72,000, lr:(2.000e-04,)] [eta: 8:57:06, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 08:37:22,461 INFO: [27..][epoch: 1, step: 72,100, lr:(2.000e-04,)] [eta: 8:56:04, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:38:21,348 INFO: [27..][epoch: 1, step: 72,200, lr:(2.000e-04,)] [eta: 8:55:02, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:39:19,938 INFO: [27..][epoch: 1, step: 72,300, lr:(2.000e-04,)] [eta: 8:53:59, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:40:17,999 INFO: [27..][epoch: 1, step: 72,400, lr:(2.000e-04,)] [eta: 8:52:57, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 08:41:15,628 INFO: [27..][epoch: 1, step: 72,500, lr:(2.000e-04,)] [eta: 8:51:53, time (data): 0.578 (0.000)] l1_pixel_opt: nan +2025-10-29 08:42:12,985 INFO: [27..][epoch: 1, step: 72,600, lr:(2.000e-04,)] [eta: 8:50:50, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:43:10,943 INFO: [27..][epoch: 1, step: 72,700, lr:(2.000e-04,)] [eta: 8:49:47, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 08:44:08,860 INFO: [27..][epoch: 1, step: 72,800, lr:(2.000e-04,)] [eta: 8:48:45, time (data): 0.577 (0.000)] l1_pixel_opt: nan +2025-10-29 08:45:07,531 INFO: [27..][epoch: 1, step: 72,900, lr:(2.000e-04,)] [eta: 8:47:42, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 08:46:06,108 INFO: [27..][epoch: 1, step: 73,000, lr:(2.000e-04,)] [eta: 8:46:40, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:47:04,730 INFO: [27..][epoch: 1, step: 73,100, lr:(2.000e-04,)] [eta: 8:45:38, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:48:03,339 INFO: [27..][epoch: 1, step: 73,200, lr:(2.000e-04,)] [eta: 8:44:35, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:49:01,971 INFO: [27..][epoch: 1, step: 73,300, lr:(2.000e-04,)] [eta: 8:43:33, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 08:50:00,676 INFO: [27..][epoch: 1, step: 73,400, lr:(2.000e-04,)] [eta: 8:42:31, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 08:50:59,465 INFO: [27..][epoch: 1, step: 73,500, lr:(2.000e-04,)] [eta: 8:41:29, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 08:51:57,684 INFO: [27..][epoch: 1, step: 73,600, lr:(2.000e-04,)] [eta: 8:40:26, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 08:52:57,384 INFO: [27..][epoch: 1, step: 73,700, lr:(2.000e-04,)] [eta: 8:39:25, time (data): 0.592 (0.000)] l1_pixel_opt: nan +2025-10-29 08:53:55,899 INFO: [27..][epoch: 1, step: 73,800, lr:(2.000e-04,)] [eta: 8:38:22, time (data): 0.562 (0.000)] l1_pixel_opt: nan +2025-10-29 08:54:54,066 INFO: [27..][epoch: 1, step: 73,900, lr:(2.000e-04,)] [eta: 8:37:20, time (data): 0.577 (0.000)] l1_pixel_opt: nan +2025-10-29 08:55:51,567 INFO: [27..][epoch: 1, step: 74,000, lr:(2.000e-04,)] [eta: 8:36:17, time (data): 0.568 (0.000)] l1_pixel_opt: nan +2025-10-29 08:56:50,263 INFO: [27..][epoch: 1, step: 74,100, lr:(2.000e-04,)] [eta: 8:35:15, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 08:57:49,319 INFO: [27..][epoch: 1, step: 74,200, lr:(2.000e-04,)] [eta: 8:34:13, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 08:58:47,624 INFO: [27..][epoch: 1, step: 74,300, lr:(2.000e-04,)] [eta: 8:33:10, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 08:59:45,573 INFO: [27..][epoch: 1, step: 74,400, lr:(2.000e-04,)] [eta: 8:32:08, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 09:00:41,952 INFO: [27..][epoch: 1, step: 74,500, lr:(2.000e-04,)] [eta: 8:31:04, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 09:01:38,392 INFO: [27..][epoch: 1, step: 74,600, lr:(2.000e-04,)] [eta: 8:30:01, time (data): 0.567 (0.000)] l1_pixel_opt: nan +2025-10-29 09:02:36,915 INFO: [27..][epoch: 1, step: 74,700, lr:(2.000e-04,)] [eta: 8:28:58, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 09:03:41,591 INFO: [27..][epoch: 1, step: 74,800, lr:(2.000e-04,)] [eta: 8:28:00, time (data): 0.805 (0.000)] l1_pixel_opt: nan +2025-10-29 09:04:39,995 INFO: [27..][epoch: 1, step: 74,900, lr:(2.000e-04,)] [eta: 8:26:58, time (data): 0.632 (0.000)] l1_pixel_opt: nan +2025-10-29 09:05:39,071 INFO: [27..][epoch: 1, step: 75,000, lr:(2.000e-04,)] [eta: 8:25:56, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 09:05:39,072 INFO: Saving models and training states. +2025-10-29 09:07:35,442 INFO: Validation sdxk_120_1024x1024 + # l1_latent: nan Best: 1.5979 @ 15000 iter + # l2_latent: nan Best: 3.9177 @ 15000 iter + # pixel_psnr_pt: nan Best: 27.9815 @ 15000 iter + +2025-10-29 09:08:31,344 INFO: [27..][epoch: 1, step: 75,100, lr:(1.000e-04,)] [eta: 8:26:10, time (data): 0.566 (0.000)] l1_pixel_opt: nan +2025-10-29 09:09:33,723 INFO: [27..][epoch: 1, step: 75,200, lr:(1.000e-04,)] [eta: 8:25:10, time (data): 0.801 (0.000)] l1_pixel_opt: nan +2025-10-29 09:10:31,692 INFO: [27..][epoch: 1, step: 75,300, lr:(1.000e-04,)] [eta: 8:24:07, time (data): 0.625 (0.000)] l1_pixel_opt: nan +2025-10-29 09:11:30,329 INFO: [27..][epoch: 1, step: 75,400, lr:(1.000e-04,)] [eta: 8:23:05, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 09:12:28,395 INFO: [27..][epoch: 1, step: 75,500, lr:(1.000e-04,)] [eta: 8:22:02, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 09:13:26,162 INFO: [27..][epoch: 1, step: 75,600, lr:(1.000e-04,)] [eta: 8:20:59, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 09:14:24,959 INFO: [27..][epoch: 1, step: 75,700, lr:(1.000e-04,)] [eta: 8:19:57, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 09:15:23,645 INFO: [27..][epoch: 1, step: 75,800, lr:(1.000e-04,)] [eta: 8:18:55, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 09:16:22,393 INFO: [27..][epoch: 1, step: 75,900, lr:(1.000e-04,)] [eta: 8:17:52, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 09:17:21,400 INFO: [27..][epoch: 1, step: 76,000, lr:(1.000e-04,)] [eta: 8:16:50, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 09:18:20,362 INFO: [27..][epoch: 1, step: 76,100, lr:(1.000e-04,)] [eta: 8:15:48, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 09:19:19,384 INFO: [27..][epoch: 1, step: 76,200, lr:(1.000e-04,)] [eta: 8:14:46, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:20:18,206 INFO: [27..][epoch: 1, step: 76,300, lr:(1.000e-04,)] [eta: 8:13:44, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 09:21:16,470 INFO: [27..][epoch: 1, step: 76,400, lr:(1.000e-04,)] [eta: 8:12:42, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 09:22:13,914 INFO: [27..][epoch: 1, step: 76,500, lr:(1.000e-04,)] [eta: 8:11:39, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 09:23:11,936 INFO: [27..][epoch: 1, step: 76,600, lr:(1.000e-04,)] [eta: 8:10:36, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 09:24:09,264 INFO: [27..][epoch: 1, step: 76,700, lr:(1.000e-04,)] [eta: 8:09:33, time (data): 0.576 (0.000)] l1_pixel_opt: nan +2025-10-29 09:25:07,009 INFO: [27..][epoch: 1, step: 76,800, lr:(1.000e-04,)] [eta: 8:08:30, time (data): 0.589 (0.001)] l1_pixel_opt: nan +2025-10-29 09:26:05,744 INFO: [27..][epoch: 2, step: 76,900, lr:(1.000e-04,)] [eta: 8:07:28, time (data): 0.588 (0.002)] l1_pixel_opt: nan +2025-10-29 09:27:03,475 INFO: [27..][epoch: 2, step: 77,000, lr:(1.000e-04,)] [eta: 8:06:26, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 09:28:01,699 INFO: [27..][epoch: 2, step: 77,100, lr:(1.000e-04,)] [eta: 8:05:23, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 09:28:59,865 INFO: [27..][epoch: 2, step: 77,200, lr:(1.000e-04,)] [eta: 8:04:21, time (data): 0.581 (0.000)] l1_pixel_opt: nan +2025-10-29 09:29:58,051 INFO: [27..][epoch: 2, step: 77,300, lr:(1.000e-04,)] [eta: 8:03:18, time (data): 0.582 (0.000)] l1_pixel_opt: nan +2025-10-29 09:30:54,781 INFO: [27..][epoch: 2, step: 77,400, lr:(1.000e-04,)] [eta: 8:02:15, time (data): 0.570 (0.000)] l1_pixel_opt: nan +2025-10-29 09:32:00,225 INFO: [27..][epoch: 2, step: 77,500, lr:(1.000e-04,)] [eta: 8:01:17, time (data): 0.643 (0.000)] l1_pixel_opt: nan +2025-10-29 09:32:59,089 INFO: [27..][epoch: 2, step: 77,600, lr:(1.000e-04,)] [eta: 8:00:15, time (data): 0.584 (0.000)] l1_pixel_opt: nan +2025-10-29 09:33:57,777 INFO: [27..][epoch: 2, step: 77,700, lr:(1.000e-04,)] [eta: 7:59:13, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 09:34:55,828 INFO: [27..][epoch: 2, step: 77,800, lr:(1.000e-04,)] [eta: 7:58:11, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 09:35:54,866 INFO: [27..][epoch: 2, step: 77,900, lr:(1.000e-04,)] [eta: 7:57:09, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:36:53,857 INFO: [27..][epoch: 2, step: 78,000, lr:(1.000e-04,)] [eta: 7:56:07, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:37:52,884 INFO: [27..][epoch: 2, step: 78,100, lr:(1.000e-04,)] [eta: 7:55:05, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:38:51,689 INFO: [27..][epoch: 2, step: 78,200, lr:(1.000e-04,)] [eta: 7:54:03, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 09:39:50,440 INFO: [27..][epoch: 2, step: 78,300, lr:(1.000e-04,)] [eta: 7:53:01, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 09:40:49,316 INFO: [27..][epoch: 2, step: 78,400, lr:(1.000e-04,)] [eta: 7:51:59, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:41:48,289 INFO: [27..][epoch: 2, step: 78,500, lr:(1.000e-04,)] [eta: 7:50:57, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:42:47,277 INFO: [27..][epoch: 2, step: 78,600, lr:(1.000e-04,)] [eta: 7:49:56, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 09:43:46,364 INFO: [27..][epoch: 2, step: 78,700, lr:(1.000e-04,)] [eta: 7:48:54, time (data): 0.591 (0.000)] l1_pixel_opt: nan +2025-10-29 09:44:45,366 INFO: [27..][epoch: 2, step: 78,800, lr:(1.000e-04,)] [eta: 7:47:52, time (data): 0.590 (0.000)] l1_pixel_opt: nan +2025-10-29 09:45:44,290 INFO: [27..][epoch: 2, step: 78,900, lr:(1.000e-04,)] [eta: 7:46:50, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 09:46:42,602 INFO: [27..][epoch: 2, step: 79,000, lr:(1.000e-04,)] [eta: 7:45:48, time (data): 0.583 (0.000)] l1_pixel_opt: nan +2025-10-29 09:47:40,488 INFO: [27..][epoch: 2, step: 79,100, lr:(1.000e-04,)] [eta: 7:44:46, time (data): 0.579 (0.000)] l1_pixel_opt: nan +2025-10-29 09:48:37,681 INFO: [27..][epoch: 2, step: 79,200, lr:(1.000e-04,)] [eta: 7:43:43, time (data): 0.587 (0.000)] l1_pixel_opt: nan +2025-10-29 09:49:34,779 INFO: [27..][epoch: 2, step: 79,300, lr:(1.000e-04,)] [eta: 7:42:40, time (data): 0.572 (0.000)] l1_pixel_opt: nan +2025-10-29 09:50:32,022 INFO: [27..][epoch: 2, step: 79,400, lr:(1.000e-04,)] [eta: 7:41:37, time (data): 0.559 (0.000)] l1_pixel_opt: nan +2025-10-29 09:51:30,618 INFO: [27..][epoch: 2, step: 79,500, lr:(1.000e-04,)] [eta: 7:40:35, time (data): 0.585 (0.000)] l1_pixel_opt: nan +2025-10-29 09:52:28,666 INFO: [27..][epoch: 2, step: 79,600, lr:(1.000e-04,)] [eta: 7:39:33, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 09:53:26,703 INFO: [27..][epoch: 2, step: 79,700, lr:(1.000e-04,)] [eta: 7:38:31, time (data): 0.580 (0.000)] l1_pixel_opt: nan +2025-10-29 09:54:23,760 INFO: [27..][epoch: 2, step: 79,800, lr:(1.000e-04,)] [eta: 7:37:28, time (data): 0.588 (0.000)] l1_pixel_opt: nan +2025-10-29 09:55:22,697 INFO: [27..][epoch: 2, step: 79,900, lr:(1.000e-04,)] [eta: 7:36:26, time (data): 0.589 (0.000)] l1_pixel_opt: nan +2025-10-29 09:56:20,773 INFO: [27..][epoch: 2, step: 80,000, lr:(1.000e-04,)] [eta: 7:35:24, time (data): 0.586 (0.000)] l1_pixel_opt: nan +2025-10-29 09:56:20,774 INFO: Saving models and training states. diff --git a/29_10_2025/27/basicsr_options.yaml b/29_10_2025/27/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..807e59e0512faab77f89fa78d5409f6ee3d89c1a --- /dev/null +++ b/29_10_2025/27/basicsr_options.yaml @@ -0,0 +1,159 @@ +# GENERATE TIME: Wed Oct 29 13:34:40 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 1 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + l1_pixel_opt: + type: L1Loss + loss_weight: 0.75 + reduction: mean + space: pixel + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '27' +name: '27' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/27/train_27_20251029_133440.log b/29_10_2025/27/train_27_20251029_133440.log new file mode 100644 index 0000000000000000000000000000000000000000..551cfc66a59319167a048a40eb193ae6e6d7200d --- /dev/null +++ b/29_10_2025/27/train_27_20251029_133440.log @@ -0,0 +1,1744 @@ +2025-10-29 13:34:40,071 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:34:40,071 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 4 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 1 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 0.75 + reduction: mean + space: pixel + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 27 + name: 27 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/27 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/27/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/27/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/27 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/27/visualization + ] + dist: True + rank: 0 + world_size: 4 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:34:41,742 INFO: Use wandb logger with id=m2l4ia9z; project=Swin2SR-Latent-SR. +2025-10-29 13:34:51,414 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:34:51,415 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 4 + Steps per epoch: 30722 + Configured training steps: 125000 + Approximate epochs to cover: 5. +2025-10-29 13:34:51,419 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:34:51,420 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:34:51,808 INFO: Network [Swin2SR] is created. +2025-10-29 13:34:53,402 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 47,374,072 +2025-10-29 13:34:53,403 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:34:53,406 INFO: Use EMA with decay: 0.999 +2025-10-29 13:34:54,007 INFO: Network [Swin2SR] is created. +2025-10-29 13:34:54,089 INFO: Loss [L1Loss] is created. +2025-10-29 13:34:54,090 INFO: Initialized l1_latent_opt in latent space (w=0.5). +2025-10-29 13:34:54,091 INFO: Loss [L1Loss] is created. +2025-10-29 13:34:54,093 INFO: Initialized l1_pixel_opt in pixel space (w=0.75). +2025-10-29 13:34:54,094 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:34:54,095 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:34:54,097 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-29 13:34:54,097 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 13:35:32,235 INFO: Start training from epoch: 0, step: 0 +2025-10-29 13:35:33,233 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-29 13:36:56,252 INFO: [27..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 1 day, 2:05:47, time (data): 0.840 (0.003)] l1_latent_opt: 1.1246e+00 l1_pixel_opt: 1.8564e-01 fft_latent_opt: 9.4653e-01 +2025-10-29 13:38:06,192 INFO: [27..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 1 day, 1:09:55, time (data): 0.770 (0.001)] l1_latent_opt: 1.0274e+00 l1_pixel_opt: 1.5408e-01 fft_latent_opt: 8.9773e-01 +2025-10-29 13:39:15,567 INFO: [27..][epoch: 0, step: 300, lr:(1.500e-04,)] [eta: 1 day, 0:46:29, time (data): 0.694 (0.000)] l1_latent_opt: 9.8751e-01 l1_pixel_opt: 1.4068e-01 fft_latent_opt: 8.7365e-01 +2025-10-29 13:40:25,196 INFO: [27..][epoch: 0, step: 400, lr:(1.500e-04,)] [eta: 1 day, 0:35:29, time (data): 0.695 (0.000)] l1_latent_opt: 9.6568e-01 l1_pixel_opt: 1.2823e-01 fft_latent_opt: 8.4627e-01 +2025-10-29 13:41:35,185 INFO: [27..][epoch: 0, step: 500, lr:(1.500e-04,)] [eta: 1 day, 0:29:54, time (data): 0.700 (0.000)] l1_latent_opt: 9.6778e-01 l1_pixel_opt: 1.2937e-01 fft_latent_opt: 8.3787e-01 +2025-10-29 13:42:44,336 INFO: [27..][epoch: 0, step: 600, lr:(1.500e-04,)] [eta: 1 day, 0:22:53, time (data): 0.696 (0.000)] l1_latent_opt: 9.6317e-01 l1_pixel_opt: 1.2629e-01 fft_latent_opt: 8.2447e-01 +2025-10-29 13:43:53,820 INFO: [27..][epoch: 0, step: 700, lr:(1.500e-04,)] [eta: 1 day, 0:18:32, time (data): 0.695 (0.000)] l1_latent_opt: 9.3836e-01 l1_pixel_opt: 1.1421e-01 fft_latent_opt: 7.9951e-01 +2025-10-29 13:45:02,889 INFO: [27..][epoch: 0, step: 800, lr:(1.500e-04,)] [eta: 1 day, 0:13:55, time (data): 0.693 (0.000)] l1_latent_opt: 9.4472e-01 l1_pixel_opt: 1.2197e-01 fft_latent_opt: 8.1405e-01 +2025-10-29 13:46:12,297 INFO: [27..][epoch: 0, step: 900, lr:(1.500e-04,)] [eta: 1 day, 0:10:50, time (data): 0.694 (0.000)] l1_latent_opt: 9.5480e-01 l1_pixel_opt: 1.1837e-01 fft_latent_opt: 7.9850e-01 +2025-10-29 13:47:21,394 INFO: [27..][epoch: 0, step: 1,000, lr:(1.500e-04,)] [eta: 1 day, 0:07:30, time (data): 0.693 (0.000)] l1_latent_opt: 9.3997e-01 l1_pixel_opt: 1.1099e-01 fft_latent_opt: 7.9182e-01 +2025-10-29 13:48:30,814 INFO: [27..][epoch: 0, step: 1,100, lr:(1.500e-04,)] [eta: 1 day, 0:05:10, time (data): 0.694 (0.000)] l1_latent_opt: 9.4441e-01 l1_pixel_opt: 1.2071e-01 fft_latent_opt: 7.9825e-01 +2025-10-29 13:49:40,539 INFO: [27..][epoch: 0, step: 1,200, lr:(1.500e-04,)] [eta: 1 day, 0:03:33, time (data): 0.696 (0.000)] l1_latent_opt: 9.3171e-01 l1_pixel_opt: 1.1147e-01 fft_latent_opt: 7.9716e-01 +2025-10-29 13:50:49,645 INFO: [27..][epoch: 0, step: 1,300, lr:(1.500e-04,)] [eta: 1 day, 0:01:02, time (data): 0.691 (0.000)] l1_latent_opt: 9.4140e-01 l1_pixel_opt: 1.1417e-01 fft_latent_opt: 7.9071e-01 +2025-10-29 13:51:59,117 INFO: [27..][epoch: 0, step: 1,400, lr:(1.500e-04,)] [eta: 23:59:14, time (data): 0.693 (0.000)] l1_latent_opt: 9.2698e-01 l1_pixel_opt: 1.0906e-01 fft_latent_opt: 7.8913e-01 +2025-10-29 13:53:08,359 INFO: [27..][epoch: 0, step: 1,500, lr:(1.500e-04,)] [eta: 23:57:13, time (data): 0.692 (0.000)] l1_latent_opt: 9.3305e-01 l1_pixel_opt: 1.1400e-01 fft_latent_opt: 7.8749e-01 +2025-10-29 13:54:17,552 INFO: [27..][epoch: 0, step: 1,600, lr:(1.500e-04,)] [eta: 23:55:15, time (data): 0.692 (0.000)] l1_latent_opt: 9.2441e-01 l1_pixel_opt: 1.0737e-01 fft_latent_opt: 7.7659e-01 +2025-10-29 13:55:26,924 INFO: [27..][epoch: 0, step: 1,700, lr:(1.500e-04,)] [eta: 23:53:35, time (data): 0.693 (0.000)] l1_latent_opt: 9.2637e-01 l1_pixel_opt: 1.1156e-01 fft_latent_opt: 7.8451e-01 +2025-10-29 13:56:36,087 INFO: [27..][epoch: 0, step: 1,800, lr:(1.500e-04,)] [eta: 23:51:44, time (data): 0.692 (0.000)] l1_latent_opt: 9.1673e-01 l1_pixel_opt: 1.1338e-01 fft_latent_opt: 7.7369e-01 +2025-10-29 13:57:46,213 INFO: [27..][epoch: 0, step: 1,900, lr:(1.500e-04,)] [eta: 23:51:00, time (data): 0.701 (0.000)] l1_latent_opt: 9.2662e-01 l1_pixel_opt: 1.2397e-01 fft_latent_opt: 7.8337e-01 +2025-10-29 13:58:56,002 INFO: [27..][epoch: 0, step: 2,000, lr:(1.500e-04,)] [eta: 23:49:53, time (data): 0.699 (0.000)] l1_latent_opt: 9.3423e-01 l1_pixel_opt: 1.0959e-01 fft_latent_opt: 7.6876e-01 +2025-10-29 14:00:05,683 INFO: [27..][epoch: 0, step: 2,100, lr:(1.500e-04,)] [eta: 23:48:39, time (data): 0.695 (0.000)] l1_latent_opt: 9.2742e-01 l1_pixel_opt: 1.1069e-01 fft_latent_opt: 7.5707e-01 +2025-10-29 14:01:14,846 INFO: [27..][epoch: 0, step: 2,200, lr:(1.500e-04,)] [eta: 23:46:57, time (data): 0.693 (0.000)] l1_latent_opt: 9.3239e-01 l1_pixel_opt: 1.2254e-01 fft_latent_opt: 7.6873e-01 +2025-10-29 14:02:24,414 INFO: [27..][epoch: 0, step: 2,300, lr:(1.500e-04,)] [eta: 23:45:39, time (data): 0.696 (0.000)] l1_latent_opt: 9.1995e-01 l1_pixel_opt: 1.1399e-01 fft_latent_opt: 7.6425e-01 +2025-10-29 14:03:33,880 INFO: [27..][epoch: 0, step: 2,400, lr:(1.500e-04,)] [eta: 23:44:16, time (data): 0.695 (0.000)] l1_latent_opt: 9.2312e-01 l1_pixel_opt: 1.0638e-01 fft_latent_opt: 7.6075e-01 +2025-10-29 14:04:43,492 INFO: [27..][epoch: 0, step: 2,500, lr:(1.500e-04,)] [eta: 23:43:02, time (data): 0.694 (0.000)] l1_latent_opt: 9.0535e-01 l1_pixel_opt: 1.0107e-01 fft_latent_opt: 7.4087e-01 +2025-10-29 14:05:53,868 INFO: [27..][epoch: 0, step: 2,600, lr:(1.500e-04,)] [eta: 23:42:24, time (data): 0.699 (0.000)] l1_latent_opt: 9.0944e-01 l1_pixel_opt: 1.0752e-01 fft_latent_opt: 7.4871e-01 +2025-10-29 14:07:03,101 INFO: [27..][epoch: 0, step: 2,700, lr:(1.500e-04,)] [eta: 23:40:52, time (data): 0.692 (0.000)] l1_latent_opt: 9.0733e-01 l1_pixel_opt: 1.0542e-01 fft_latent_opt: 7.3371e-01 +2025-10-29 14:08:12,284 INFO: [27..][epoch: 0, step: 2,800, lr:(1.500e-04,)] [eta: 23:39:19, time (data): 0.692 (0.000)] l1_latent_opt: 9.0747e-01 l1_pixel_opt: 1.0259e-01 fft_latent_opt: 7.3241e-01 +2025-10-29 14:09:21,498 INFO: [27..][epoch: 0, step: 2,900, lr:(1.500e-04,)] [eta: 23:37:50, time (data): 0.692 (0.000)] l1_latent_opt: 9.1445e-01 l1_pixel_opt: 1.0850e-01 fft_latent_opt: 7.3588e-01 +2025-10-29 14:10:30,858 INFO: [27..][epoch: 0, step: 3,000, lr:(1.500e-04,)] [eta: 23:36:27, time (data): 0.693 (0.000)] l1_latent_opt: 9.0704e-01 l1_pixel_opt: 1.0698e-01 fft_latent_opt: 7.2780e-01 +2025-10-29 14:11:40,100 INFO: [27..][epoch: 0, step: 3,100, lr:(1.500e-04,)] [eta: 23:35:01, time (data): 0.692 (0.000)] l1_latent_opt: 8.9600e-01 l1_pixel_opt: 9.7112e-02 fft_latent_opt: 7.3321e-01 +2025-10-29 14:12:49,983 INFO: [27..][epoch: 0, step: 3,200, lr:(1.500e-04,)] [eta: 23:34:00, time (data): 0.696 (0.000)] l1_latent_opt: 8.9789e-01 l1_pixel_opt: 9.4088e-02 fft_latent_opt: 7.2795e-01 +2025-10-29 14:14:00,037 INFO: [27..][epoch: 0, step: 3,300, lr:(1.500e-04,)] [eta: 23:33:05, time (data): 0.702 (0.000)] l1_latent_opt: 9.1366e-01 l1_pixel_opt: 1.0596e-01 fft_latent_opt: 7.3784e-01 +2025-10-29 14:15:10,357 INFO: [27..][epoch: 0, step: 3,400, lr:(1.500e-04,)] [eta: 23:32:19, time (data): 0.703 (0.000)] l1_latent_opt: 9.1059e-01 l1_pixel_opt: 1.1054e-01 fft_latent_opt: 7.4204e-01 +2025-10-29 14:16:19,933 INFO: [27..][epoch: 0, step: 3,500, lr:(1.500e-04,)] [eta: 23:31:05, time (data): 0.695 (0.000)] l1_latent_opt: 9.0323e-01 l1_pixel_opt: 1.0279e-01 fft_latent_opt: 7.2027e-01 +2025-10-29 14:17:29,186 INFO: [27..][epoch: 0, step: 3,600, lr:(1.500e-04,)] [eta: 23:29:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.8503e-01 l1_pixel_opt: 9.3843e-02 fft_latent_opt: 7.2220e-01 +2025-10-29 14:18:38,502 INFO: [27..][epoch: 0, step: 3,700, lr:(1.500e-04,)] [eta: 23:28:20, time (data): 0.693 (0.000)] l1_latent_opt: 9.0866e-01 l1_pixel_opt: 1.0209e-01 fft_latent_opt: 7.0409e-01 +2025-10-29 14:19:48,387 INFO: [27..][epoch: 0, step: 3,800, lr:(1.500e-04,)] [eta: 23:27:17, time (data): 0.696 (0.000)] l1_latent_opt: 9.0726e-01 l1_pixel_opt: 1.0197e-01 fft_latent_opt: 7.2274e-01 +2025-10-29 14:20:58,325 INFO: [27..][epoch: 0, step: 3,900, lr:(1.500e-04,)] [eta: 23:26:16, time (data): 0.701 (0.000)] l1_latent_opt: 8.9647e-01 l1_pixel_opt: 9.0480e-02 fft_latent_opt: 7.1755e-01 +2025-10-29 14:22:09,194 INFO: [27..][epoch: 0, step: 4,000, lr:(1.500e-04,)] [eta: 23:25:42, time (data): 0.705 (0.000)] l1_latent_opt: 8.8643e-01 l1_pixel_opt: 8.7242e-02 fft_latent_opt: 6.9959e-01 +2025-10-29 14:23:20,965 INFO: [27..][epoch: 0, step: 4,100, lr:(1.500e-04,)] [eta: 23:25:34, time (data): 0.716 (0.000)] l1_latent_opt: 8.7966e-01 l1_pixel_opt: 8.9910e-02 fft_latent_opt: 7.0160e-01 +2025-10-29 14:24:32,492 INFO: [27..][epoch: 0, step: 4,200, lr:(1.500e-04,)] [eta: 23:25:15, time (data): 0.716 (0.000)] l1_latent_opt: 8.9882e-01 l1_pixel_opt: 9.6990e-02 fft_latent_opt: 7.1668e-01 +2025-10-29 14:25:54,242 INFO: [27..][epoch: 0, step: 4,300, lr:(1.500e-04,)] [eta: 23:29:40, time (data): 0.703 (0.000)] l1_latent_opt: 8.8266e-01 l1_pixel_opt: 8.9991e-02 fft_latent_opt: 7.0277e-01 +2025-10-29 14:27:04,368 INFO: [27..][epoch: 0, step: 4,400, lr:(1.500e-04,)] [eta: 23:28:32, time (data): 0.702 (0.000)] l1_latent_opt: 9.0650e-01 l1_pixel_opt: 1.0661e-01 fft_latent_opt: 7.1718e-01 +2025-10-29 14:28:14,791 INFO: [27..][epoch: 0, step: 4,500, lr:(1.500e-04,)] [eta: 23:27:31, time (data): 0.704 (0.000)] l1_latent_opt: 8.9000e-01 l1_pixel_opt: 1.0065e-01 fft_latent_opt: 7.0718e-01 +2025-10-29 14:29:24,812 INFO: [27..][epoch: 0, step: 4,600, lr:(1.500e-04,)] [eta: 23:26:19, time (data): 0.702 (0.000)] l1_latent_opt: 8.9521e-01 l1_pixel_opt: 9.9860e-02 fft_latent_opt: 6.9722e-01 +2025-10-29 14:30:34,244 INFO: [27..][epoch: 0, step: 4,700, lr:(1.500e-04,)] [eta: 23:24:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.9137e-01 l1_pixel_opt: 9.3889e-02 fft_latent_opt: 7.0526e-01 +2025-10-29 14:31:43,946 INFO: [27..][epoch: 0, step: 4,800, lr:(1.500e-04,)] [eta: 23:23:33, time (data): 0.696 (0.000)] l1_latent_opt: 8.9258e-01 l1_pixel_opt: 9.8711e-02 fft_latent_opt: 7.0733e-01 +2025-10-29 14:33:01,185 INFO: [27..][epoch: 0, step: 4,900, lr:(1.500e-04,)] [eta: 23:25:19, time (data): 0.795 (0.000)] l1_latent_opt: 8.8302e-01 l1_pixel_opt: 9.4402e-02 fft_latent_opt: 7.0480e-01 +2025-10-29 14:34:11,354 INFO: [27..][epoch: 0, step: 5,000, lr:(1.500e-04,)] [eta: 23:24:08, time (data): 0.742 (0.000)] l1_latent_opt: 8.8717e-01 l1_pixel_opt: 9.1641e-02 fft_latent_opt: 7.0451e-01 +2025-10-29 14:34:11,356 INFO: Saving models and training states. +2025-10-29 14:36:51,667 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9363 Best: 0.9363 @ 5000 iter + # l2_latent: 1.4171 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 25.4886 Best: 25.4886 @ 5000 iter + +2025-10-29 14:38:01,790 INFO: [27..][epoch: 0, step: 5,100, lr:(1.500e-04,)] [eta: 1 day, 0:25:44, time (data): 0.696 (0.000)] l1_latent_opt: 8.9355e-01 l1_pixel_opt: 9.8099e-02 fft_latent_opt: 7.0186e-01 +2025-10-29 14:39:11,398 INFO: [27..][epoch: 0, step: 5,200, lr:(1.500e-04,)] [eta: 1 day, 0:23:04, time (data): 0.696 (0.000)] l1_latent_opt: 8.8505e-01 l1_pixel_opt: 9.1301e-02 fft_latent_opt: 6.9824e-01 +2025-10-29 14:40:21,854 INFO: [27..][epoch: 0, step: 5,300, lr:(1.500e-04,)] [eta: 1 day, 0:20:47, time (data): 0.703 (0.000)] l1_latent_opt: 8.8368e-01 l1_pixel_opt: 1.0100e-01 fft_latent_opt: 6.9516e-01 +2025-10-29 14:41:31,671 INFO: [27..][epoch: 0, step: 5,400, lr:(1.500e-04,)] [eta: 1 day, 0:18:19, time (data): 0.700 (0.000)] l1_latent_opt: 8.9343e-01 l1_pixel_opt: 1.0188e-01 fft_latent_opt: 6.9454e-01 +2025-10-29 14:42:41,801 INFO: [27..][epoch: 0, step: 5,500, lr:(1.500e-04,)] [eta: 1 day, 0:16:00, time (data): 0.704 (0.000)] l1_latent_opt: 8.8099e-01 l1_pixel_opt: 9.1122e-02 fft_latent_opt: 6.9903e-01 +2025-10-29 14:43:51,927 INFO: [27..][epoch: 0, step: 5,600, lr:(1.500e-04,)] [eta: 1 day, 0:13:43, time (data): 0.702 (0.000)] l1_latent_opt: 8.7437e-01 l1_pixel_opt: 9.0370e-02 fft_latent_opt: 6.9507e-01 +2025-10-29 14:45:02,442 INFO: [27..][epoch: 0, step: 5,700, lr:(1.500e-04,)] [eta: 1 day, 0:11:37, time (data): 0.705 (0.000)] l1_latent_opt: 8.8001e-01 l1_pixel_opt: 9.4569e-02 fft_latent_opt: 6.9119e-01 +2025-10-29 14:46:20,445 INFO: [27..][epoch: 0, step: 5,800, lr:(1.500e-04,)] [eta: 1 day, 0:12:06, time (data): 0.748 (0.000)] l1_latent_opt: 8.9182e-01 l1_pixel_opt: 9.8706e-02 fft_latent_opt: 6.9002e-01 +2025-10-29 14:47:31,047 INFO: [27..][epoch: 0, step: 5,900, lr:(1.500e-04,)] [eta: 1 day, 0:10:03, time (data): 0.708 (0.000)] l1_latent_opt: 8.8510e-01 l1_pixel_opt: 9.2478e-02 fft_latent_opt: 6.9312e-01 +2025-10-29 14:48:41,590 INFO: [27..][epoch: 0, step: 6,000, lr:(1.500e-04,)] [eta: 1 day, 0:08:00, time (data): 0.706 (0.000)] l1_latent_opt: 8.8159e-01 l1_pixel_opt: 8.0935e-02 fft_latent_opt: 6.9171e-01 +2025-10-29 14:49:52,158 INFO: [27..][epoch: 0, step: 6,100, lr:(1.500e-04,)] [eta: 1 day, 0:06:00, time (data): 0.707 (0.000)] l1_latent_opt: 8.8413e-01 l1_pixel_opt: 9.5298e-02 fft_latent_opt: 6.9496e-01 +2025-10-29 14:51:09,020 INFO: [27..][epoch: 0, step: 6,200, lr:(1.500e-04,)] [eta: 1 day, 0:06:01, time (data): 0.743 (0.000)] l1_latent_opt: 8.8950e-01 l1_pixel_opt: 1.0255e-01 fft_latent_opt: 6.8440e-01 +2025-10-29 14:52:18,640 INFO: [27..][epoch: 0, step: 6,300, lr:(1.500e-04,)] [eta: 1 day, 0:03:44, time (data): 0.696 (0.000)] l1_latent_opt: 8.9231e-01 l1_pixel_opt: 9.8168e-02 fft_latent_opt: 6.9649e-01 +2025-10-29 14:53:28,354 INFO: [27..][epoch: 0, step: 6,400, lr:(1.500e-04,)] [eta: 1 day, 0:01:30, time (data): 0.697 (0.000)] l1_latent_opt: 8.7845e-01 l1_pixel_opt: 9.1065e-02 fft_latent_opt: 6.7696e-01 +2025-10-29 14:54:38,106 INFO: [27..][epoch: 0, step: 6,500, lr:(1.500e-04,)] [eta: 23:59:20, time (data): 0.700 (0.000)] l1_latent_opt: 8.8817e-01 l1_pixel_opt: 9.3593e-02 fft_latent_opt: 6.8727e-01 +2025-10-29 14:55:47,883 INFO: [27..][epoch: 0, step: 6,600, lr:(1.500e-04,)] [eta: 23:57:11, time (data): 0.699 (0.000)] l1_latent_opt: 8.7758e-01 l1_pixel_opt: 9.1374e-02 fft_latent_opt: 6.9934e-01 +2025-10-29 14:56:57,806 INFO: [27..][epoch: 0, step: 6,700, lr:(1.500e-04,)] [eta: 23:55:07, time (data): 0.699 (0.000)] l1_latent_opt: 8.8030e-01 l1_pixel_opt: 9.0379e-02 fft_latent_opt: 6.9544e-01 +2025-10-29 14:58:07,593 INFO: [27..][epoch: 0, step: 6,800, lr:(1.500e-04,)] [eta: 23:53:02, time (data): 0.698 (0.000)] l1_latent_opt: 8.7508e-01 l1_pixel_opt: 8.9202e-02 fft_latent_opt: 6.9433e-01 +2025-10-29 14:59:16,936 INFO: [27..][epoch: 0, step: 6,900, lr:(1.500e-04,)] [eta: 23:50:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.7823e-01 l1_pixel_opt: 9.3025e-02 fft_latent_opt: 6.7820e-01 +2025-10-29 15:00:26,376 INFO: [27..][epoch: 0, step: 7,000, lr:(1.500e-04,)] [eta: 23:48:44, time (data): 0.694 (0.000)] l1_latent_opt: 8.7796e-01 l1_pixel_opt: 8.8410e-02 fft_latent_opt: 6.9268e-01 +2025-10-29 15:01:35,886 INFO: [27..][epoch: 0, step: 7,100, lr:(1.500e-04,)] [eta: 23:46:39, time (data): 0.696 (0.000)] l1_latent_opt: 8.7719e-01 l1_pixel_opt: 9.5901e-02 fft_latent_opt: 6.9505e-01 +2025-10-29 15:02:45,582 INFO: [27..][epoch: 0, step: 7,200, lr:(1.500e-04,)] [eta: 23:44:39, time (data): 0.696 (0.000)] l1_latent_opt: 8.9132e-01 l1_pixel_opt: 9.2087e-02 fft_latent_opt: 6.7750e-01 +2025-10-29 15:03:55,117 INFO: [27..][epoch: 0, step: 7,300, lr:(1.500e-04,)] [eta: 23:42:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.8085e-01 l1_pixel_opt: 9.4648e-02 fft_latent_opt: 6.7940e-01 +2025-10-29 15:05:04,623 INFO: [27..][epoch: 0, step: 7,400, lr:(1.500e-04,)] [eta: 23:40:37, time (data): 0.694 (0.000)] l1_latent_opt: 8.7637e-01 l1_pixel_opt: 9.2753e-02 fft_latent_opt: 6.8578e-01 +2025-10-29 15:06:14,030 INFO: [27..][epoch: 0, step: 7,500, lr:(1.500e-04,)] [eta: 23:38:36, time (data): 0.693 (0.000)] l1_latent_opt: 8.7970e-01 l1_pixel_opt: 8.4090e-02 fft_latent_opt: 6.8795e-01 +2025-10-29 15:07:23,689 INFO: [27..][epoch: 0, step: 7,600, lr:(1.500e-04,)] [eta: 23:36:41, time (data): 0.695 (0.000)] l1_latent_opt: 8.8128e-01 l1_pixel_opt: 8.8905e-02 fft_latent_opt: 6.8116e-01 +2025-10-29 15:08:33,758 INFO: [27..][epoch: 0, step: 7,700, lr:(1.500e-04,)] [eta: 23:34:53, time (data): 0.703 (0.000)] l1_latent_opt: 8.7974e-01 l1_pixel_opt: 8.7536e-02 fft_latent_opt: 6.8305e-01 +2025-10-29 15:09:43,063 INFO: [27..][epoch: 0, step: 7,800, lr:(1.500e-04,)] [eta: 23:32:54, time (data): 0.697 (0.000)] l1_latent_opt: 8.7439e-01 l1_pixel_opt: 8.2795e-02 fft_latent_opt: 6.7213e-01 +2025-10-29 15:10:53,183 INFO: [27..][epoch: 0, step: 7,900, lr:(1.500e-04,)] [eta: 23:31:09, time (data): 0.706 (0.000)] l1_latent_opt: 8.7628e-01 l1_pixel_opt: 8.7502e-02 fft_latent_opt: 6.8875e-01 +2025-10-29 15:12:02,812 INFO: [27..][epoch: 0, step: 8,000, lr:(1.500e-04,)] [eta: 23:29:18, time (data): 0.700 (0.000)] l1_latent_opt: 8.6631e-01 l1_pixel_opt: 8.8404e-02 fft_latent_opt: 6.8713e-01 +2025-10-29 15:13:12,926 INFO: [27..][epoch: 0, step: 8,100, lr:(1.500e-04,)] [eta: 23:27:34, time (data): 0.704 (0.000)] l1_latent_opt: 8.7041e-01 l1_pixel_opt: 8.7524e-02 fft_latent_opt: 6.8026e-01 +2025-10-29 15:14:22,375 INFO: [27..][epoch: 0, step: 8,200, lr:(1.500e-04,)] [eta: 23:25:42, time (data): 0.698 (0.000)] l1_latent_opt: 8.7745e-01 l1_pixel_opt: 9.1171e-02 fft_latent_opt: 6.8950e-01 +2025-10-29 15:15:31,658 INFO: [27..][epoch: 0, step: 8,300, lr:(1.500e-04,)] [eta: 23:23:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.7548e-01 l1_pixel_opt: 8.8313e-02 fft_latent_opt: 6.6977e-01 +2025-10-29 15:16:41,255 INFO: [27..][epoch: 0, step: 8,400, lr:(1.500e-04,)] [eta: 23:22:01, time (data): 0.695 (0.000)] l1_latent_opt: 8.7383e-01 l1_pixel_opt: 9.8931e-02 fft_latent_opt: 6.8077e-01 +2025-10-29 15:17:50,817 INFO: [27..][epoch: 0, step: 8,500, lr:(1.500e-04,)] [eta: 23:20:13, time (data): 0.696 (0.000)] l1_latent_opt: 8.7549e-01 l1_pixel_opt: 8.8335e-02 fft_latent_opt: 6.8749e-01 +2025-10-29 15:19:00,836 INFO: [27..][epoch: 0, step: 8,600, lr:(1.500e-04,)] [eta: 23:18:33, time (data): 0.699 (0.000)] l1_latent_opt: 8.7614e-01 l1_pixel_opt: 8.8221e-02 fft_latent_opt: 6.8251e-01 +2025-10-29 15:20:10,521 INFO: [27..][epoch: 0, step: 8,700, lr:(1.500e-04,)] [eta: 23:16:49, time (data): 0.695 (0.000)] l1_latent_opt: 8.8158e-01 l1_pixel_opt: 9.6733e-02 fft_latent_opt: 6.8546e-01 +2025-10-29 15:21:20,530 INFO: [27..][epoch: 0, step: 8,800, lr:(1.500e-04,)] [eta: 23:15:09, time (data): 0.698 (0.000)] l1_latent_opt: 8.8335e-01 l1_pixel_opt: 9.0953e-02 fft_latent_opt: 6.8791e-01 +2025-10-29 15:22:29,854 INFO: [27..][epoch: 0, step: 8,900, lr:(1.500e-04,)] [eta: 23:13:22, time (data): 0.692 (0.000)] l1_latent_opt: 8.7917e-01 l1_pixel_opt: 9.0597e-02 fft_latent_opt: 6.8063e-01 +2025-10-29 15:23:39,305 INFO: [27..][epoch: 0, step: 9,000, lr:(1.500e-04,)] [eta: 23:11:37, time (data): 0.694 (0.000)] l1_latent_opt: 8.7241e-01 l1_pixel_opt: 9.3749e-02 fft_latent_opt: 6.8952e-01 +2025-10-29 15:24:48,952 INFO: [27..][epoch: 0, step: 9,100, lr:(1.500e-04,)] [eta: 23:09:55, time (data): 0.696 (0.000)] l1_latent_opt: 8.8055e-01 l1_pixel_opt: 9.1637e-02 fft_latent_opt: 6.8454e-01 +2025-10-29 15:25:58,266 INFO: [27..][epoch: 0, step: 9,200, lr:(1.500e-04,)] [eta: 23:08:10, time (data): 0.694 (0.000)] l1_latent_opt: 8.7849e-01 l1_pixel_opt: 9.4362e-02 fft_latent_opt: 6.6400e-01 +2025-10-29 15:27:07,546 INFO: [27..][epoch: 0, step: 9,300, lr:(1.500e-04,)] [eta: 23:06:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.6979e-01 l1_pixel_opt: 8.7065e-02 fft_latent_opt: 6.8183e-01 +2025-10-29 15:28:16,817 INFO: [27..][epoch: 0, step: 9,400, lr:(1.500e-04,)] [eta: 23:04:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.9242e-01 l1_pixel_opt: 9.8529e-02 fft_latent_opt: 6.8152e-01 +2025-10-29 15:29:26,201 INFO: [27..][epoch: 0, step: 9,500, lr:(1.500e-04,)] [eta: 23:02:59, time (data): 0.694 (0.000)] l1_latent_opt: 8.7327e-01 l1_pixel_opt: 8.7556e-02 fft_latent_opt: 6.8282e-01 +2025-10-29 15:30:35,512 INFO: [27..][epoch: 0, step: 9,600, lr:(1.500e-04,)] [eta: 23:01:17, time (data): 0.694 (0.000)] l1_latent_opt: 8.6428e-01 l1_pixel_opt: 8.4657e-02 fft_latent_opt: 6.6261e-01 +2025-10-29 15:31:54,198 INFO: [27..][epoch: 0, step: 9,700, lr:(1.500e-04,)] [eta: 23:01:26, time (data): 0.695 (0.000)] l1_latent_opt: 8.7216e-01 l1_pixel_opt: 9.9496e-02 fft_latent_opt: 6.7822e-01 +2025-10-29 15:33:03,695 INFO: [27..][epoch: 0, step: 9,800, lr:(1.500e-04,)] [eta: 22:59:46, time (data): 0.695 (0.000)] l1_latent_opt: 8.7119e-01 l1_pixel_opt: 8.8816e-02 fft_latent_opt: 6.6660e-01 +2025-10-29 15:34:13,126 INFO: [27..][epoch: 0, step: 9,900, lr:(1.500e-04,)] [eta: 22:58:06, time (data): 0.695 (0.000)] l1_latent_opt: 8.6981e-01 l1_pixel_opt: 9.6231e-02 fft_latent_opt: 6.8215e-01 +2025-10-29 15:35:22,655 INFO: [27..][epoch: 0, step: 10,000, lr:(1.500e-04,)] [eta: 22:56:28, time (data): 0.695 (0.000)] l1_latent_opt: 8.7931e-01 l1_pixel_opt: 8.6631e-02 fft_latent_opt: 6.7397e-01 +2025-10-29 15:35:22,656 INFO: Saving models and training states. +2025-10-29 15:37:38,875 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9105 Best: 0.9363 @ 5000 iter + # l2_latent: 1.3351 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 26.4295 Best: 26.4295 @ 10000 iter + +2025-10-29 15:38:48,616 INFO: [27..][epoch: 0, step: 10,100, lr:(1.500e-04,)] [eta: 23:20:42, time (data): 0.698 (0.000)] l1_latent_opt: 8.7253e-01 l1_pixel_opt: 8.3590e-02 fft_latent_opt: 6.7273e-01 +2025-10-29 15:39:58,588 INFO: [27..][epoch: 0, step: 10,200, lr:(1.500e-04,)] [eta: 23:18:53, time (data): 0.699 (0.000)] l1_latent_opt: 8.6885e-01 l1_pixel_opt: 8.5772e-02 fft_latent_opt: 6.8173e-01 +2025-10-29 15:41:08,386 INFO: [27..][epoch: 0, step: 10,300, lr:(1.500e-04,)] [eta: 23:17:03, time (data): 0.698 (0.000)] l1_latent_opt: 8.7929e-01 l1_pixel_opt: 8.4967e-02 fft_latent_opt: 6.7700e-01 +2025-10-29 15:42:17,573 INFO: [27..][epoch: 0, step: 10,400, lr:(1.500e-04,)] [eta: 23:15:07, time (data): 0.694 (0.000)] l1_latent_opt: 8.7582e-01 l1_pixel_opt: 8.4469e-02 fft_latent_opt: 6.8383e-01 +2025-10-29 15:43:26,874 INFO: [27..][epoch: 0, step: 10,500, lr:(1.500e-04,)] [eta: 23:13:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.7452e-01 l1_pixel_opt: 9.1245e-02 fft_latent_opt: 6.7186e-01 +2025-10-29 15:44:36,473 INFO: [27..][epoch: 0, step: 10,600, lr:(1.500e-04,)] [eta: 23:11:23, time (data): 0.695 (0.000)] l1_latent_opt: 8.7115e-01 l1_pixel_opt: 8.6703e-02 fft_latent_opt: 6.7763e-01 +2025-10-29 15:45:46,184 INFO: [27..][epoch: 0, step: 10,700, lr:(1.500e-04,)] [eta: 23:09:36, time (data): 0.695 (0.000)] l1_latent_opt: 8.6817e-01 l1_pixel_opt: 8.0806e-02 fft_latent_opt: 6.7613e-01 +2025-10-29 15:46:55,946 INFO: [27..][epoch: 0, step: 10,800, lr:(1.500e-04,)] [eta: 23:07:49, time (data): 0.697 (0.000)] l1_latent_opt: 8.7226e-01 l1_pixel_opt: 9.6030e-02 fft_latent_opt: 6.6711e-01 +2025-10-29 15:48:05,453 INFO: [27..][epoch: 0, step: 10,900, lr:(1.500e-04,)] [eta: 23:06:00, time (data): 0.695 (0.000)] l1_latent_opt: 8.7468e-01 l1_pixel_opt: 8.6359e-02 fft_latent_opt: 6.7831e-01 +2025-10-29 15:49:15,040 INFO: [27..][epoch: 0, step: 11,000, lr:(1.500e-04,)] [eta: 23:04:13, time (data): 0.695 (0.000)] l1_latent_opt: 8.6421e-01 l1_pixel_opt: 9.0242e-02 fft_latent_opt: 6.6451e-01 +2025-10-29 15:50:24,412 INFO: [27..][epoch: 0, step: 11,100, lr:(1.500e-04,)] [eta: 23:02:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.6325e-01 l1_pixel_opt: 7.7108e-02 fft_latent_opt: 6.6351e-01 +2025-10-29 15:51:33,886 INFO: [27..][epoch: 0, step: 11,200, lr:(1.500e-04,)] [eta: 23:00:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.5533e-01 l1_pixel_opt: 7.5425e-02 fft_latent_opt: 6.6284e-01 +2025-10-29 15:52:43,119 INFO: [27..][epoch: 0, step: 11,300, lr:(1.500e-04,)] [eta: 22:58:49, time (data): 0.692 (0.000)] l1_latent_opt: 8.6656e-01 l1_pixel_opt: 8.1296e-02 fft_latent_opt: 6.6851e-01 +2025-10-29 15:53:52,572 INFO: [27..][epoch: 0, step: 11,400, lr:(1.500e-04,)] [eta: 22:57:03, time (data): 0.694 (0.000)] l1_latent_opt: 8.7157e-01 l1_pixel_opt: 8.6406e-02 fft_latent_opt: 6.6689e-01 +2025-10-29 15:55:01,839 INFO: [27..][epoch: 0, step: 11,500, lr:(1.500e-04,)] [eta: 22:55:17, time (data): 0.692 (0.000)] l1_latent_opt: 8.7031e-01 l1_pixel_opt: 8.2413e-02 fft_latent_opt: 6.6193e-01 +2025-10-29 15:56:11,014 INFO: [27..][epoch: 0, step: 11,600, lr:(1.500e-04,)] [eta: 22:53:29, time (data): 0.692 (0.000)] l1_latent_opt: 8.7215e-01 l1_pixel_opt: 9.2008e-02 fft_latent_opt: 6.7064e-01 +2025-10-29 15:57:20,216 INFO: [27..][epoch: 0, step: 11,700, lr:(1.500e-04,)] [eta: 22:51:43, time (data): 0.692 (0.000)] l1_latent_opt: 8.5620e-01 l1_pixel_opt: 8.2947e-02 fft_latent_opt: 6.6705e-01 +2025-10-29 15:58:29,479 INFO: [27..][epoch: 0, step: 11,800, lr:(1.500e-04,)] [eta: 22:49:58, time (data): 0.692 (0.000)] l1_latent_opt: 8.6250e-01 l1_pixel_opt: 8.9010e-02 fft_latent_opt: 6.7566e-01 +2025-10-29 15:59:38,740 INFO: [27..][epoch: 0, step: 11,900, lr:(1.500e-04,)] [eta: 22:48:14, time (data): 0.692 (0.000)] l1_latent_opt: 8.6637e-01 l1_pixel_opt: 8.4745e-02 fft_latent_opt: 6.7553e-01 +2025-10-29 16:00:48,097 INFO: [27..][epoch: 0, step: 12,000, lr:(1.500e-04,)] [eta: 22:46:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.6809e-01 l1_pixel_opt: 8.1296e-02 fft_latent_opt: 6.7235e-01 +2025-10-29 16:01:57,460 INFO: [27..][epoch: 0, step: 12,100, lr:(1.500e-04,)] [eta: 22:44:48, time (data): 0.694 (0.000)] l1_latent_opt: 8.6721e-01 l1_pixel_opt: 8.2373e-02 fft_latent_opt: 6.7368e-01 +2025-10-29 16:03:07,530 INFO: [27..][epoch: 0, step: 12,200, lr:(1.500e-04,)] [eta: 22:43:13, time (data): 0.699 (0.000)] l1_latent_opt: 8.6884e-01 l1_pixel_opt: 8.3602e-02 fft_latent_opt: 6.7299e-01 +2025-10-29 16:04:17,659 INFO: [27..][epoch: 0, step: 12,300, lr:(1.500e-04,)] [eta: 22:41:39, time (data): 0.707 (0.000)] l1_latent_opt: 8.7406e-01 l1_pixel_opt: 9.1628e-02 fft_latent_opt: 6.7144e-01 +2025-10-29 16:05:27,958 INFO: [27..][epoch: 0, step: 12,400, lr:(1.500e-04,)] [eta: 22:40:06, time (data): 0.704 (0.000)] l1_latent_opt: 8.7330e-01 l1_pixel_opt: 8.4477e-02 fft_latent_opt: 6.7633e-01 +2025-10-29 16:06:37,318 INFO: [27..][epoch: 0, step: 12,500, lr:(1.500e-04,)] [eta: 22:38:26, time (data): 0.692 (0.000)] l1_latent_opt: 8.7069e-01 l1_pixel_opt: 8.7542e-02 fft_latent_opt: 6.7604e-01 +2025-10-29 16:07:46,553 INFO: [27..][epoch: 0, step: 12,600, lr:(1.500e-04,)] [eta: 22:36:44, time (data): 0.692 (0.000)] l1_latent_opt: 8.7582e-01 l1_pixel_opt: 8.6356e-02 fft_latent_opt: 6.5714e-01 +2025-10-29 16:08:55,780 INFO: [27..][epoch: 0, step: 12,700, lr:(1.500e-04,)] [eta: 22:35:04, time (data): 0.692 (0.000)] l1_latent_opt: 8.7626e-01 l1_pixel_opt: 9.5728e-02 fft_latent_opt: 6.6883e-01 +2025-10-29 16:10:05,028 INFO: [27..][epoch: 0, step: 12,800, lr:(1.500e-04,)] [eta: 22:33:24, time (data): 0.692 (0.000)] l1_latent_opt: 8.6348e-01 l1_pixel_opt: 8.6165e-02 fft_latent_opt: 6.6163e-01 +2025-10-29 16:11:14,424 INFO: [27..][epoch: 0, step: 12,900, lr:(1.500e-04,)] [eta: 22:31:45, time (data): 0.695 (0.000)] l1_latent_opt: 8.7094e-01 l1_pixel_opt: 9.6610e-02 fft_latent_opt: 6.7919e-01 +2025-10-29 16:12:23,836 INFO: [27..][epoch: 0, step: 13,000, lr:(1.500e-04,)] [eta: 22:30:08, time (data): 0.694 (0.000)] l1_latent_opt: 8.6094e-01 l1_pixel_opt: 8.3675e-02 fft_latent_opt: 6.6714e-01 +2025-10-29 16:13:33,155 INFO: [27..][epoch: 0, step: 13,100, lr:(1.500e-04,)] [eta: 22:28:30, time (data): 0.693 (0.000)] l1_latent_opt: 8.7174e-01 l1_pixel_opt: 8.5979e-02 fft_latent_opt: 6.6518e-01 +2025-10-29 16:14:42,424 INFO: [27..][epoch: 0, step: 13,200, lr:(1.500e-04,)] [eta: 22:26:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.6219e-01 l1_pixel_opt: 9.5978e-02 fft_latent_opt: 6.6277e-01 +2025-10-29 16:15:51,658 INFO: [27..][epoch: 0, step: 13,300, lr:(1.500e-04,)] [eta: 22:25:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.6396e-01 l1_pixel_opt: 8.5015e-02 fft_latent_opt: 6.6505e-01 +2025-10-29 16:17:01,154 INFO: [27..][epoch: 0, step: 13,400, lr:(1.500e-04,)] [eta: 22:23:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.7986e-01 l1_pixel_opt: 8.5065e-02 fft_latent_opt: 6.6826e-01 +2025-10-29 16:18:10,360 INFO: [27..][epoch: 0, step: 13,500, lr:(1.500e-04,)] [eta: 22:22:01, time (data): 0.692 (0.000)] l1_latent_opt: 8.7332e-01 l1_pixel_opt: 9.2448e-02 fft_latent_opt: 6.7349e-01 +2025-10-29 16:19:19,654 INFO: [27..][epoch: 0, step: 13,600, lr:(1.500e-04,)] [eta: 22:20:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.7008e-01 l1_pixel_opt: 9.6730e-02 fft_latent_opt: 6.5761e-01 +2025-10-29 16:20:28,916 INFO: [27..][epoch: 0, step: 13,700, lr:(1.500e-04,)] [eta: 22:18:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.6517e-01 l1_pixel_opt: 8.8049e-02 fft_latent_opt: 6.6870e-01 +2025-10-29 16:21:38,190 INFO: [27..][epoch: 0, step: 13,800, lr:(1.500e-04,)] [eta: 22:17:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.6270e-01 l1_pixel_opt: 8.4018e-02 fft_latent_opt: 6.6176e-01 +2025-10-29 16:22:47,410 INFO: [27..][epoch: 0, step: 13,900, lr:(1.500e-04,)] [eta: 22:15:38, time (data): 0.692 (0.000)] l1_latent_opt: 8.6644e-01 l1_pixel_opt: 8.9727e-02 fft_latent_opt: 6.6500e-01 +2025-10-29 16:23:56,625 INFO: [27..][epoch: 0, step: 14,000, lr:(1.500e-04,)] [eta: 22:14:03, time (data): 0.692 (0.000)] l1_latent_opt: 8.6327e-01 l1_pixel_opt: 8.2692e-02 fft_latent_opt: 6.6657e-01 +2025-10-29 16:25:06,115 INFO: [27..][epoch: 0, step: 14,100, lr:(1.500e-04,)] [eta: 22:12:30, time (data): 0.694 (0.000)] l1_latent_opt: 8.6439e-01 l1_pixel_opt: 8.3717e-02 fft_latent_opt: 6.6818e-01 +2025-10-29 16:26:15,293 INFO: [27..][epoch: 0, step: 14,200, lr:(1.500e-04,)] [eta: 22:10:55, time (data): 0.692 (0.000)] l1_latent_opt: 8.6665e-01 l1_pixel_opt: 8.4454e-02 fft_latent_opt: 6.6804e-01 +2025-10-29 16:27:25,176 INFO: [27..][epoch: 0, step: 14,300, lr:(1.500e-04,)] [eta: 22:09:26, time (data): 0.715 (0.000)] l1_latent_opt: 8.7307e-01 l1_pixel_opt: 9.0986e-02 fft_latent_opt: 6.7382e-01 +2025-10-29 16:28:34,643 INFO: [27..][epoch: 0, step: 14,400, lr:(1.500e-04,)] [eta: 22:07:54, time (data): 0.699 (0.000)] l1_latent_opt: 8.6997e-01 l1_pixel_opt: 8.6015e-02 fft_latent_opt: 6.6793e-01 +2025-10-29 16:29:44,289 INFO: [27..][epoch: 0, step: 14,500, lr:(1.500e-04,)] [eta: 22:06:24, time (data): 0.704 (0.000)] l1_latent_opt: 8.7082e-01 l1_pixel_opt: 9.2993e-02 fft_latent_opt: 6.7042e-01 +2025-10-29 16:30:54,217 INFO: [27..][epoch: 0, step: 14,600, lr:(1.500e-04,)] [eta: 22:04:56, time (data): 0.700 (0.000)] l1_latent_opt: 8.6692e-01 l1_pixel_opt: 8.8900e-02 fft_latent_opt: 6.6868e-01 +2025-10-29 16:32:03,496 INFO: [27..][epoch: 0, step: 14,700, lr:(1.500e-04,)] [eta: 22:03:23, time (data): 0.693 (0.000)] l1_latent_opt: 8.6961e-01 l1_pixel_opt: 9.2375e-02 fft_latent_opt: 6.6275e-01 +2025-10-29 16:33:12,734 INFO: [27..][epoch: 0, step: 14,800, lr:(1.500e-04,)] [eta: 22:01:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.6174e-01 l1_pixel_opt: 8.3817e-02 fft_latent_opt: 6.6542e-01 +2025-10-29 16:34:21,951 INFO: [27..][epoch: 0, step: 14,900, lr:(1.500e-04,)] [eta: 22:00:19, time (data): 0.692 (0.000)] l1_latent_opt: 8.6431e-01 l1_pixel_opt: 7.8122e-02 fft_latent_opt: 6.5359e-01 +2025-10-29 16:35:31,187 INFO: [27..][epoch: 0, step: 15,000, lr:(1.500e-04,)] [eta: 21:58:47, time (data): 0.692 (0.000)] l1_latent_opt: 8.5446e-01 l1_pixel_opt: 8.0281e-02 fft_latent_opt: 6.6583e-01 +2025-10-29 16:35:31,188 INFO: Saving models and training states. +2025-10-29 16:37:47,082 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9042 Best: 0.9363 @ 5000 iter + # l2_latent: 1.3140 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 26.7271 Best: 26.7271 @ 15000 iter + +2025-10-29 16:38:56,356 INFO: [27..][epoch: 0, step: 15,100, lr:(1.500e-04,)] [eta: 22:13:45, time (data): 0.692 (0.000)] l1_latent_opt: 8.6454e-01 l1_pixel_opt: 8.2620e-02 fft_latent_opt: 6.7703e-01 +2025-10-29 16:40:05,618 INFO: [27..][epoch: 0, step: 15,200, lr:(1.500e-04,)] [eta: 22:12:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.7236e-01 l1_pixel_opt: 9.1987e-02 fft_latent_opt: 6.6742e-01 +2025-10-29 16:41:14,898 INFO: [27..][epoch: 0, step: 15,300, lr:(1.500e-04,)] [eta: 22:10:28, time (data): 0.694 (0.000)] l1_latent_opt: 8.6667e-01 l1_pixel_opt: 8.2784e-02 fft_latent_opt: 6.6097e-01 +2025-10-29 16:42:24,499 INFO: [27..][epoch: 0, step: 15,400, lr:(1.500e-04,)] [eta: 22:08:53, time (data): 0.696 (0.000)] l1_latent_opt: 8.6962e-01 l1_pixel_opt: 8.5297e-02 fft_latent_opt: 6.5673e-01 +2025-10-29 16:43:33,966 INFO: [27..][epoch: 0, step: 15,500, lr:(1.500e-04,)] [eta: 22:07:17, time (data): 0.693 (0.000)] l1_latent_opt: 8.7436e-01 l1_pixel_opt: 9.3832e-02 fft_latent_opt: 6.8009e-01 +2025-10-29 16:44:43,461 INFO: [27..][epoch: 0, step: 15,600, lr:(1.500e-04,)] [eta: 22:05:41, time (data): 0.695 (0.000)] l1_latent_opt: 8.8179e-01 l1_pixel_opt: 9.7894e-02 fft_latent_opt: 6.7024e-01 +2025-10-29 16:45:52,796 INFO: [27..][epoch: 0, step: 15,700, lr:(1.500e-04,)] [eta: 22:04:05, time (data): 0.694 (0.000)] l1_latent_opt: 8.6462e-01 l1_pixel_opt: 8.5706e-02 fft_latent_opt: 6.7304e-01 +2025-10-29 16:47:01,840 INFO: [27..][epoch: 0, step: 15,800, lr:(1.500e-04,)] [eta: 22:02:27, time (data): 0.691 (0.000)] l1_latent_opt: 8.6208e-01 l1_pixel_opt: 9.0159e-02 fft_latent_opt: 6.7669e-01 +2025-10-29 16:48:11,024 INFO: [27..][epoch: 0, step: 15,900, lr:(1.500e-04,)] [eta: 22:00:51, time (data): 0.691 (0.000)] l1_latent_opt: 8.6270e-01 l1_pixel_opt: 8.9456e-02 fft_latent_opt: 6.6822e-01 +2025-10-29 16:49:20,173 INFO: [27..][epoch: 0, step: 16,000, lr:(1.500e-04,)] [eta: 21:59:14, time (data): 0.691 (0.000)] l1_latent_opt: 8.6152e-01 l1_pixel_opt: 8.9694e-02 fft_latent_opt: 6.6324e-01 +2025-10-29 16:50:29,462 INFO: [27..][epoch: 0, step: 16,100, lr:(1.500e-04,)] [eta: 21:57:39, time (data): 0.692 (0.000)] l1_latent_opt: 8.4932e-01 l1_pixel_opt: 8.3913e-02 fft_latent_opt: 6.6138e-01 +2025-10-29 16:51:38,817 INFO: [27..][epoch: 0, step: 16,200, lr:(1.500e-04,)] [eta: 21:56:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.4695e-01 l1_pixel_opt: 7.8367e-02 fft_latent_opt: 6.6291e-01 +2025-10-29 16:52:54,553 INFO: [27..][epoch: 0, step: 16,300, lr:(1.500e-04,)] [eta: 21:55:13, time (data): 1.034 (0.000)] l1_latent_opt: 8.6571e-01 l1_pixel_opt: 9.2404e-02 fft_latent_opt: 6.5758e-01 +2025-10-29 16:54:03,849 INFO: [27..][epoch: 0, step: 16,400, lr:(1.500e-04,)] [eta: 21:53:39, time (data): 0.747 (0.000)] l1_latent_opt: 8.6523e-01 l1_pixel_opt: 8.7697e-02 fft_latent_opt: 6.4534e-01 +2025-10-29 16:55:13,072 INFO: [27..][epoch: 0, step: 16,500, lr:(1.500e-04,)] [eta: 21:52:04, time (data): 0.692 (0.000)] l1_latent_opt: 8.5031e-01 l1_pixel_opt: 7.4881e-02 fft_latent_opt: 6.5854e-01 +2025-10-29 16:56:22,520 INFO: [27..][epoch: 0, step: 16,600, lr:(1.500e-04,)] [eta: 21:50:31, time (data): 0.694 (0.000)] l1_latent_opt: 8.6685e-01 l1_pixel_opt: 8.4494e-02 fft_latent_opt: 6.5403e-01 +2025-10-29 16:57:31,757 INFO: [27..][epoch: 0, step: 16,700, lr:(1.500e-04,)] [eta: 21:48:57, time (data): 0.692 (0.000)] l1_latent_opt: 8.5863e-01 l1_pixel_opt: 8.0954e-02 fft_latent_opt: 6.5819e-01 +2025-10-29 16:58:41,253 INFO: [27..][epoch: 0, step: 16,800, lr:(1.500e-04,)] [eta: 21:47:25, time (data): 0.695 (0.000)] l1_latent_opt: 8.6113e-01 l1_pixel_opt: 8.1579e-02 fft_latent_opt: 6.5240e-01 +2025-10-29 16:59:50,490 INFO: [27..][epoch: 0, step: 16,900, lr:(1.500e-04,)] [eta: 21:45:52, time (data): 0.692 (0.000)] l1_latent_opt: 8.6775e-01 l1_pixel_opt: 1.0100e-01 fft_latent_opt: 6.6418e-01 +2025-10-29 17:01:06,266 INFO: [27..][epoch: 0, step: 17,000, lr:(1.500e-04,)] [eta: 21:45:00, time (data): 0.749 (0.000)] l1_latent_opt: 8.5170e-01 l1_pixel_opt: 7.6923e-02 fft_latent_opt: 6.5472e-01 +2025-10-29 17:02:15,489 INFO: [27..][epoch: 0, step: 17,100, lr:(1.500e-04,)] [eta: 21:43:27, time (data): 0.692 (0.000)] l1_latent_opt: 8.6141e-01 l1_pixel_opt: 8.9000e-02 fft_latent_opt: 6.5975e-01 +2025-10-29 17:03:24,917 INFO: [27..][epoch: 0, step: 17,200, lr:(1.500e-04,)] [eta: 21:41:56, time (data): 0.694 (0.000)] l1_latent_opt: 8.6443e-01 l1_pixel_opt: 8.5528e-02 fft_latent_opt: 6.7011e-01 +2025-10-29 17:04:35,007 INFO: [27..][epoch: 0, step: 17,300, lr:(1.500e-04,)] [eta: 21:40:28, time (data): 0.692 (0.000)] l1_latent_opt: 8.6344e-01 l1_pixel_opt: 9.1408e-02 fft_latent_opt: 6.5601e-01 +2025-10-29 17:05:50,692 INFO: [27..][epoch: 0, step: 17,400, lr:(1.500e-04,)] [eta: 21:39:36, time (data): 0.749 (0.000)] l1_latent_opt: 8.6750e-01 l1_pixel_opt: 8.4854e-02 fft_latent_opt: 6.6365e-01 +2025-10-29 17:06:59,893 INFO: [27..][epoch: 0, step: 17,500, lr:(1.500e-04,)] [eta: 21:38:03, time (data): 0.693 (0.000)] l1_latent_opt: 8.6048e-01 l1_pixel_opt: 9.1141e-02 fft_latent_opt: 6.5233e-01 +2025-10-29 17:08:09,555 INFO: [27..][epoch: 0, step: 17,600, lr:(1.500e-04,)] [eta: 21:36:34, time (data): 0.696 (0.000)] l1_latent_opt: 8.6533e-01 l1_pixel_opt: 9.1669e-02 fft_latent_opt: 6.6805e-01 +2025-10-29 17:09:19,005 INFO: [27..][epoch: 0, step: 17,700, lr:(1.500e-04,)] [eta: 21:35:03, time (data): 0.691 (0.000)] l1_latent_opt: 8.6177e-01 l1_pixel_opt: 7.8780e-02 fft_latent_opt: 6.5816e-01 +2025-10-29 17:10:29,060 INFO: [27..][epoch: 0, step: 17,800, lr:(1.500e-04,)] [eta: 21:33:37, time (data): 0.699 (0.000)] l1_latent_opt: 8.5982e-01 l1_pixel_opt: 8.6710e-02 fft_latent_opt: 6.6457e-01 +2025-10-29 17:11:38,770 INFO: [27..][epoch: 0, step: 17,900, lr:(1.500e-04,)] [eta: 21:32:08, time (data): 0.701 (0.000)] l1_latent_opt: 8.6784e-01 l1_pixel_opt: 8.9083e-02 fft_latent_opt: 6.6146e-01 +2025-10-29 17:12:47,980 INFO: [27..][epoch: 0, step: 18,000, lr:(1.500e-04,)] [eta: 21:30:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.6006e-01 l1_pixel_opt: 8.3926e-02 fft_latent_opt: 6.6154e-01 +2025-10-29 17:13:57,131 INFO: [27..][epoch: 0, step: 18,100, lr:(1.500e-04,)] [eta: 21:29:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.6610e-01 l1_pixel_opt: 9.9121e-02 fft_latent_opt: 6.6135e-01 +2025-10-29 17:15:06,428 INFO: [27..][epoch: 0, step: 18,200, lr:(1.500e-04,)] [eta: 21:27:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.5918e-01 l1_pixel_opt: 8.0569e-02 fft_latent_opt: 6.6881e-01 +2025-10-29 17:16:15,654 INFO: [27..][epoch: 0, step: 18,300, lr:(1.500e-04,)] [eta: 21:26:05, time (data): 0.692 (0.000)] l1_latent_opt: 8.7130e-01 l1_pixel_opt: 9.1659e-02 fft_latent_opt: 6.5920e-01 +2025-10-29 17:17:24,941 INFO: [27..][epoch: 0, step: 18,400, lr:(1.500e-04,)] [eta: 21:24:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.5787e-01 l1_pixel_opt: 7.7075e-02 fft_latent_opt: 6.5383e-01 +2025-10-29 17:18:34,371 INFO: [27..][epoch: 0, step: 18,500, lr:(1.500e-04,)] [eta: 21:23:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.5424e-01 l1_pixel_opt: 8.2412e-02 fft_latent_opt: 6.5452e-01 +2025-10-29 17:19:43,668 INFO: [27..][epoch: 0, step: 18,600, lr:(1.500e-04,)] [eta: 21:21:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.6499e-01 l1_pixel_opt: 8.7394e-02 fft_latent_opt: 6.5180e-01 +2025-10-29 17:20:52,912 INFO: [27..][epoch: 0, step: 18,700, lr:(1.500e-04,)] [eta: 21:20:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.6013e-01 l1_pixel_opt: 8.5168e-02 fft_latent_opt: 6.5903e-01 +2025-10-29 17:22:02,155 INFO: [27..][epoch: 0, step: 18,800, lr:(1.500e-04,)] [eta: 21:18:38, time (data): 0.692 (0.000)] l1_latent_opt: 8.7214e-01 l1_pixel_opt: 9.6750e-02 fft_latent_opt: 6.5750e-01 +2025-10-29 17:23:11,442 INFO: [27..][epoch: 0, step: 18,900, lr:(1.500e-04,)] [eta: 21:17:09, time (data): 0.699 (0.000)] l1_latent_opt: 8.5847e-01 l1_pixel_opt: 8.1083e-02 fft_latent_opt: 6.5805e-01 +2025-10-29 17:24:21,265 INFO: [27..][epoch: 0, step: 19,000, lr:(1.500e-04,)] [eta: 21:15:43, time (data): 0.698 (0.000)] l1_latent_opt: 8.6279e-01 l1_pixel_opt: 9.1717e-02 fft_latent_opt: 6.6537e-01 +2025-10-29 17:25:30,653 INFO: [27..][epoch: 0, step: 19,100, lr:(1.500e-04,)] [eta: 21:14:16, time (data): 0.703 (0.000)] l1_latent_opt: 8.5079e-01 l1_pixel_opt: 7.6905e-02 fft_latent_opt: 6.5777e-01 +2025-10-29 17:26:39,843 INFO: [27..][epoch: 0, step: 19,200, lr:(1.500e-04,)] [eta: 21:12:47, time (data): 0.692 (0.000)] l1_latent_opt: 8.5694e-01 l1_pixel_opt: 8.2689e-02 fft_latent_opt: 6.5694e-01 +2025-10-29 17:27:49,047 INFO: [27..][epoch: 0, step: 19,300, lr:(1.500e-04,)] [eta: 21:11:18, time (data): 0.691 (0.000)] l1_latent_opt: 8.6373e-01 l1_pixel_opt: 8.8947e-02 fft_latent_opt: 6.5908e-01 +2025-10-29 17:28:58,233 INFO: [27..][epoch: 0, step: 19,400, lr:(1.500e-04,)] [eta: 21:09:50, time (data): 0.692 (0.000)] l1_latent_opt: 8.6521e-01 l1_pixel_opt: 7.9223e-02 fft_latent_opt: 6.5773e-01 +2025-10-29 17:30:07,394 INFO: [27..][epoch: 0, step: 19,500, lr:(1.500e-04,)] [eta: 21:08:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.6389e-01 l1_pixel_opt: 8.6737e-02 fft_latent_opt: 6.8117e-01 +2025-10-29 17:31:16,605 INFO: [27..][epoch: 0, step: 19,600, lr:(1.500e-04,)] [eta: 21:06:54, time (data): 0.692 (0.000)] l1_latent_opt: 8.6157e-01 l1_pixel_opt: 7.9564e-02 fft_latent_opt: 6.6255e-01 +2025-10-29 17:32:25,839 INFO: [27..][epoch: 0, step: 19,700, lr:(1.500e-04,)] [eta: 21:05:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.6928e-01 l1_pixel_opt: 9.1923e-02 fft_latent_opt: 6.5936e-01 +2025-10-29 17:33:35,149 INFO: [27..][epoch: 0, step: 19,800, lr:(1.500e-04,)] [eta: 21:03:59, time (data): 0.693 (0.000)] l1_latent_opt: 8.6040e-01 l1_pixel_opt: 8.5491e-02 fft_latent_opt: 6.5981e-01 +2025-10-29 17:34:44,299 INFO: [27..][epoch: 0, step: 19,900, lr:(1.500e-04,)] [eta: 21:02:32, time (data): 0.690 (0.000)] l1_latent_opt: 8.6568e-01 l1_pixel_opt: 8.0973e-02 fft_latent_opt: 6.6261e-01 +2025-10-29 17:35:53,515 INFO: [27..][epoch: 0, step: 20,000, lr:(1.500e-04,)] [eta: 21:01:04, time (data): 0.692 (0.000)] l1_latent_opt: 8.6569e-01 l1_pixel_opt: 8.4589e-02 fft_latent_opt: 6.5552e-01 +2025-10-29 17:35:53,516 INFO: Saving models and training states. +2025-10-29 17:38:08,165 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8988 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2986 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 26.8620 Best: 26.8620 @ 20000 iter + +2025-10-29 17:39:17,576 INFO: [27..][epoch: 0, step: 20,100, lr:(1.500e-04,)] [eta: 21:11:21, time (data): 0.693 (0.000)] l1_latent_opt: 8.6532e-01 l1_pixel_opt: 8.9254e-02 fft_latent_opt: 6.5171e-01 +2025-10-29 17:40:26,938 INFO: [27..][epoch: 0, step: 20,200, lr:(1.500e-04,)] [eta: 21:09:51, time (data): 0.694 (0.000)] l1_latent_opt: 8.5034e-01 l1_pixel_opt: 8.1252e-02 fft_latent_opt: 6.5644e-01 +2025-10-29 17:41:36,334 INFO: [27..][epoch: 0, step: 20,300, lr:(1.500e-04,)] [eta: 21:08:21, time (data): 0.694 (0.000)] l1_latent_opt: 8.6753e-01 l1_pixel_opt: 9.1257e-02 fft_latent_opt: 6.6203e-01 +2025-10-29 17:42:45,536 INFO: [27..][epoch: 0, step: 20,400, lr:(1.500e-04,)] [eta: 21:06:51, time (data): 0.692 (0.000)] l1_latent_opt: 8.5749e-01 l1_pixel_opt: 8.4322e-02 fft_latent_opt: 6.5575e-01 +2025-10-29 17:43:54,784 INFO: [27..][epoch: 0, step: 20,500, lr:(1.500e-04,)] [eta: 21:05:21, time (data): 0.692 (0.000)] l1_latent_opt: 8.6620e-01 l1_pixel_opt: 9.1165e-02 fft_latent_opt: 6.5720e-01 +2025-10-29 17:45:04,095 INFO: [27..][epoch: 0, step: 20,600, lr:(1.500e-04,)] [eta: 21:03:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.6031e-01 l1_pixel_opt: 8.1093e-02 fft_latent_opt: 6.6330e-01 +2025-10-29 17:46:13,354 INFO: [27..][epoch: 0, step: 20,700, lr:(1.500e-04,)] [eta: 21:02:21, time (data): 0.693 (0.000)] l1_latent_opt: 8.5647e-01 l1_pixel_opt: 8.2092e-02 fft_latent_opt: 6.5983e-01 +2025-10-29 17:47:22,564 INFO: [27..][epoch: 0, step: 20,800, lr:(1.500e-04,)] [eta: 21:00:52, time (data): 0.692 (0.000)] l1_latent_opt: 8.6048e-01 l1_pixel_opt: 7.9136e-02 fft_latent_opt: 6.5983e-01 +2025-10-29 17:48:31,822 INFO: [27..][epoch: 0, step: 20,900, lr:(1.500e-04,)] [eta: 20:59:23, time (data): 0.692 (0.000)] l1_latent_opt: 8.6492e-01 l1_pixel_opt: 8.7841e-02 fft_latent_opt: 6.5723e-01 +2025-10-29 17:49:41,023 INFO: [27..][epoch: 0, step: 21,000, lr:(1.500e-04,)] [eta: 20:57:53, time (data): 0.692 (0.000)] l1_latent_opt: 8.6041e-01 l1_pixel_opt: 8.2138e-02 fft_latent_opt: 6.6151e-01 +2025-10-29 17:50:50,214 INFO: [27..][epoch: 0, step: 21,100, lr:(1.500e-04,)] [eta: 20:56:24, time (data): 0.692 (0.000)] l1_latent_opt: 8.5868e-01 l1_pixel_opt: 8.3302e-02 fft_latent_opt: 6.5414e-01 +2025-10-29 17:51:59,544 INFO: [27..][epoch: 0, step: 21,200, lr:(1.500e-04,)] [eta: 20:54:56, time (data): 0.693 (0.000)] l1_latent_opt: 8.5582e-01 l1_pixel_opt: 8.2594e-02 fft_latent_opt: 6.5760e-01 +2025-10-29 17:53:09,134 INFO: [27..][epoch: 0, step: 21,300, lr:(1.500e-04,)] [eta: 20:53:29, time (data): 0.695 (0.000)] l1_latent_opt: 8.5626e-01 l1_pixel_opt: 7.9225e-02 fft_latent_opt: 6.5717e-01 +2025-10-29 17:54:18,337 INFO: [27..][epoch: 0, step: 21,400, lr:(1.500e-04,)] [eta: 20:52:00, time (data): 0.692 (0.000)] l1_latent_opt: 8.6021e-01 l1_pixel_opt: 9.5085e-02 fft_latent_opt: 6.6025e-01 +2025-10-29 17:55:27,572 INFO: [27..][epoch: 0, step: 21,500, lr:(1.500e-04,)] [eta: 20:50:32, time (data): 0.692 (0.000)] l1_latent_opt: 8.4699e-01 l1_pixel_opt: 7.2885e-02 fft_latent_opt: 6.4560e-01 +2025-10-29 17:56:36,844 INFO: [27..][epoch: 0, step: 21,600, lr:(1.500e-04,)] [eta: 20:49:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.6216e-01 l1_pixel_opt: 8.8323e-02 fft_latent_opt: 6.4998e-01 +2025-10-29 17:57:46,007 INFO: [27..][epoch: 0, step: 21,700, lr:(1.500e-04,)] [eta: 20:47:36, time (data): 0.692 (0.000)] l1_latent_opt: 8.5620e-01 l1_pixel_opt: 7.7937e-02 fft_latent_opt: 6.5368e-01 +2025-10-29 17:58:55,155 INFO: [27..][epoch: 0, step: 21,800, lr:(1.500e-04,)] [eta: 20:46:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.6418e-01 l1_pixel_opt: 9.1868e-02 fft_latent_opt: 6.5578e-01 +2025-10-29 18:00:04,356 INFO: [27..][epoch: 0, step: 21,900, lr:(1.500e-04,)] [eta: 20:44:40, time (data): 0.692 (0.000)] l1_latent_opt: 8.6232e-01 l1_pixel_opt: 8.3471e-02 fft_latent_opt: 6.6096e-01 +2025-10-29 18:01:13,528 INFO: [27..][epoch: 0, step: 22,000, lr:(1.500e-04,)] [eta: 20:43:12, time (data): 0.692 (0.000)] l1_latent_opt: 8.6010e-01 l1_pixel_opt: 9.2399e-02 fft_latent_opt: 6.6623e-01 +2025-10-29 18:02:22,773 INFO: [27..][epoch: 0, step: 22,100, lr:(1.500e-04,)] [eta: 20:41:45, time (data): 0.692 (0.000)] l1_latent_opt: 8.6667e-01 l1_pixel_opt: 8.6761e-02 fft_latent_opt: 6.5100e-01 +2025-10-29 18:03:31,987 INFO: [27..][epoch: 0, step: 22,200, lr:(1.500e-04,)] [eta: 20:40:18, time (data): 0.692 (0.000)] l1_latent_opt: 8.6666e-01 l1_pixel_opt: 8.7453e-02 fft_latent_opt: 6.5630e-01 +2025-10-29 18:04:41,396 INFO: [27..][epoch: 0, step: 22,300, lr:(1.500e-04,)] [eta: 20:38:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.5519e-01 l1_pixel_opt: 8.9262e-02 fft_latent_opt: 6.6016e-01 +2025-10-29 18:05:50,614 INFO: [27..][epoch: 0, step: 22,400, lr:(1.500e-04,)] [eta: 20:37:25, time (data): 0.692 (0.000)] l1_latent_opt: 8.6082e-01 l1_pixel_opt: 8.1958e-02 fft_latent_opt: 6.4952e-01 +2025-10-29 18:06:59,964 INFO: [27..][epoch: 0, step: 22,500, lr:(1.500e-04,)] [eta: 20:35:58, time (data): 0.693 (0.000)] l1_latent_opt: 8.5885e-01 l1_pixel_opt: 7.9339e-02 fft_latent_opt: 6.6215e-01 +2025-10-29 18:08:09,270 INFO: [27..][epoch: 0, step: 22,600, lr:(1.500e-04,)] [eta: 20:34:32, time (data): 0.693 (0.000)] l1_latent_opt: 8.5179e-01 l1_pixel_opt: 7.9717e-02 fft_latent_opt: 6.4551e-01 +2025-10-29 18:09:18,596 INFO: [27..][epoch: 0, step: 22,700, lr:(1.500e-04,)] [eta: 20:33:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.5320e-01 l1_pixel_opt: 8.5081e-02 fft_latent_opt: 6.5847e-01 +2025-10-29 18:10:27,912 INFO: [27..][epoch: 0, step: 22,800, lr:(1.500e-04,)] [eta: 20:31:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.5956e-01 l1_pixel_opt: 8.3218e-02 fft_latent_opt: 6.7136e-01 +2025-10-29 18:11:37,262 INFO: [27..][epoch: 0, step: 22,900, lr:(1.500e-04,)] [eta: 20:30:15, time (data): 0.693 (0.000)] l1_latent_opt: 8.6804e-01 l1_pixel_opt: 9.0329e-02 fft_latent_opt: 6.6529e-01 +2025-10-29 18:12:46,497 INFO: [27..][epoch: 0, step: 23,000, lr:(1.500e-04,)] [eta: 20:28:49, time (data): 0.692 (0.000)] l1_latent_opt: 8.5753e-01 l1_pixel_opt: 8.5113e-02 fft_latent_opt: 6.5536e-01 +2025-10-29 18:13:56,080 INFO: [27..][epoch: 0, step: 23,100, lr:(1.500e-04,)] [eta: 20:27:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.6529e-01 l1_pixel_opt: 8.6425e-02 fft_latent_opt: 6.5684e-01 +2025-10-29 18:15:05,427 INFO: [27..][epoch: 0, step: 23,200, lr:(1.500e-04,)] [eta: 20:26:00, time (data): 0.694 (0.000)] l1_latent_opt: 8.6388e-01 l1_pixel_opt: 9.5257e-02 fft_latent_opt: 6.6838e-01 +2025-10-29 18:16:14,710 INFO: [27..][epoch: 0, step: 23,300, lr:(1.500e-04,)] [eta: 20:24:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.5949e-01 l1_pixel_opt: 8.4597e-02 fft_latent_opt: 6.6012e-01 +2025-10-29 18:17:23,799 INFO: [27..][epoch: 0, step: 23,400, lr:(1.500e-04,)] [eta: 20:23:09, time (data): 0.691 (0.000)] l1_latent_opt: 8.5640e-01 l1_pixel_opt: 8.5332e-02 fft_latent_opt: 6.5691e-01 +2025-10-29 18:18:32,803 INFO: [27..][epoch: 0, step: 23,500, lr:(1.500e-04,)] [eta: 20:21:43, time (data): 0.690 (0.000)] l1_latent_opt: 8.6318e-01 l1_pixel_opt: 8.3945e-02 fft_latent_opt: 6.5736e-01 +2025-10-29 18:19:42,091 INFO: [27..][epoch: 0, step: 23,600, lr:(1.500e-04,)] [eta: 20:20:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.6082e-01 l1_pixel_opt: 8.8759e-02 fft_latent_opt: 6.5544e-01 +2025-10-29 18:20:51,415 INFO: [27..][epoch: 0, step: 23,700, lr:(1.500e-04,)] [eta: 20:18:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.6838e-01 l1_pixel_opt: 8.9001e-02 fft_latent_opt: 6.5851e-01 +2025-10-29 18:22:01,523 INFO: [27..][epoch: 0, step: 23,800, lr:(1.500e-04,)] [eta: 20:17:32, time (data): 0.702 (0.000)] l1_latent_opt: 8.6177e-01 l1_pixel_opt: 8.8339e-02 fft_latent_opt: 6.6557e-01 +2025-10-29 18:23:11,728 INFO: [27..][epoch: 0, step: 23,900, lr:(1.500e-04,)] [eta: 20:16:12, time (data): 0.702 (0.000)] l1_latent_opt: 8.6609e-01 l1_pixel_opt: 8.8408e-02 fft_latent_opt: 6.6255e-01 +2025-10-29 18:24:21,294 INFO: [27..][epoch: 0, step: 24,000, lr:(1.500e-04,)] [eta: 20:14:48, time (data): 0.694 (0.000)] l1_latent_opt: 8.4340e-01 l1_pixel_opt: 6.9535e-02 fft_latent_opt: 6.5364e-01 +2025-10-29 18:25:30,575 INFO: [27..][epoch: 0, step: 24,100, lr:(1.500e-04,)] [eta: 20:13:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5137e-01 l1_pixel_opt: 8.5763e-02 fft_latent_opt: 6.5620e-01 +2025-10-29 18:26:39,844 INFO: [27..][epoch: 0, step: 24,200, lr:(1.500e-04,)] [eta: 20:12:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.7106e-01 l1_pixel_opt: 9.0393e-02 fft_latent_opt: 6.6133e-01 +2025-10-29 18:27:49,094 INFO: [27..][epoch: 0, step: 24,300, lr:(1.500e-04,)] [eta: 20:10:36, time (data): 0.693 (0.000)] l1_latent_opt: 8.5123e-01 l1_pixel_opt: 8.0347e-02 fft_latent_opt: 6.5003e-01 +2025-10-29 18:28:58,335 INFO: [27..][epoch: 0, step: 24,400, lr:(1.500e-04,)] [eta: 20:09:12, time (data): 0.692 (0.000)] l1_latent_opt: 8.7156e-01 l1_pixel_opt: 8.7842e-02 fft_latent_opt: 6.5312e-01 +2025-10-29 18:30:07,612 INFO: [27..][epoch: 0, step: 24,500, lr:(1.500e-04,)] [eta: 20:07:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.6040e-01 l1_pixel_opt: 8.5805e-02 fft_latent_opt: 6.5727e-01 +2025-10-29 18:31:16,869 INFO: [27..][epoch: 0, step: 24,600, lr:(1.500e-04,)] [eta: 20:06:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.4793e-01 l1_pixel_opt: 8.2262e-02 fft_latent_opt: 6.4893e-01 +2025-10-29 18:32:26,222 INFO: [27..][epoch: 0, step: 24,700, lr:(1.500e-04,)] [eta: 20:05:01, time (data): 0.693 (0.000)] l1_latent_opt: 8.6144e-01 l1_pixel_opt: 8.5934e-02 fft_latent_opt: 6.5266e-01 +2025-10-29 18:33:35,444 INFO: [27..][epoch: 0, step: 24,800, lr:(1.500e-04,)] [eta: 20:03:37, time (data): 0.692 (0.000)] l1_latent_opt: 8.4951e-01 l1_pixel_opt: 8.4542e-02 fft_latent_opt: 6.5137e-01 +2025-10-29 18:34:44,848 INFO: [27..][epoch: 0, step: 24,900, lr:(1.500e-04,)] [eta: 20:02:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.6812e-01 l1_pixel_opt: 8.7826e-02 fft_latent_opt: 6.5627e-01 +2025-10-29 18:35:54,156 INFO: [27..][epoch: 0, step: 25,000, lr:(1.500e-04,)] [eta: 20:00:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.6264e-01 l1_pixel_opt: 8.8830e-02 fft_latent_opt: 6.5526e-01 +2025-10-29 18:35:54,158 INFO: Saving models and training states. +2025-10-29 18:38:10,473 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8988 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2965 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 26.9578 Best: 26.9578 @ 25000 iter + +2025-10-29 18:39:20,837 INFO: [27..][epoch: 0, step: 25,100, lr:(1.500e-04,)] [eta: 20:08:35, time (data): 0.699 (0.000)] l1_latent_opt: 8.5701e-01 l1_pixel_opt: 9.0981e-02 fft_latent_opt: 6.6270e-01 +2025-10-29 18:40:30,151 INFO: [27..][epoch: 0, step: 25,200, lr:(1.500e-04,)] [eta: 20:07:10, time (data): 0.694 (0.000)] l1_latent_opt: 8.6178e-01 l1_pixel_opt: 9.0017e-02 fft_latent_opt: 6.5705e-01 +2025-10-29 18:41:39,501 INFO: [27..][epoch: 0, step: 25,300, lr:(1.500e-04,)] [eta: 20:05:44, time (data): 0.694 (0.000)] l1_latent_opt: 8.6096e-01 l1_pixel_opt: 9.2985e-02 fft_latent_opt: 6.6492e-01 +2025-10-29 18:42:48,818 INFO: [27..][epoch: 0, step: 25,400, lr:(1.500e-04,)] [eta: 20:04:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.6355e-01 l1_pixel_opt: 8.3765e-02 fft_latent_opt: 6.5644e-01 +2025-10-29 18:43:58,142 INFO: [27..][epoch: 0, step: 25,500, lr:(1.500e-04,)] [eta: 20:02:54, time (data): 0.693 (0.000)] l1_latent_opt: 8.5667e-01 l1_pixel_opt: 8.3958e-02 fft_latent_opt: 6.5525e-01 +2025-10-29 18:45:07,433 INFO: [27..][epoch: 0, step: 25,600, lr:(1.500e-04,)] [eta: 20:01:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.6483e-01 l1_pixel_opt: 8.9042e-02 fft_latent_opt: 6.5810e-01 +2025-10-29 18:46:16,705 INFO: [27..][epoch: 0, step: 25,700, lr:(1.500e-04,)] [eta: 20:00:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.5741e-01 l1_pixel_opt: 8.2915e-02 fft_latent_opt: 6.4695e-01 +2025-10-29 18:47:26,781 INFO: [27..][epoch: 0, step: 25,800, lr:(1.500e-04,)] [eta: 19:58:42, time (data): 0.700 (0.000)] l1_latent_opt: 8.5336e-01 l1_pixel_opt: 7.9519e-02 fft_latent_opt: 6.5107e-01 +2025-10-29 18:48:36,080 INFO: [27..][epoch: 0, step: 25,900, lr:(1.500e-04,)] [eta: 19:57:17, time (data): 0.696 (0.000)] l1_latent_opt: 8.4736e-01 l1_pixel_opt: 7.4620e-02 fft_latent_opt: 6.4657e-01 +2025-10-29 18:49:45,409 INFO: [27..][epoch: 0, step: 26,000, lr:(1.500e-04,)] [eta: 19:55:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.5770e-01 l1_pixel_opt: 9.1369e-02 fft_latent_opt: 6.5371e-01 +2025-10-29 18:50:54,777 INFO: [27..][epoch: 0, step: 26,100, lr:(1.500e-04,)] [eta: 19:54:28, time (data): 0.694 (0.000)] l1_latent_opt: 8.6372e-01 l1_pixel_opt: 9.9587e-02 fft_latent_opt: 6.6181e-01 +2025-10-29 18:52:04,109 INFO: [27..][epoch: 0, step: 26,200, lr:(1.500e-04,)] [eta: 19:53:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.6438e-01 l1_pixel_opt: 9.1681e-02 fft_latent_opt: 6.5645e-01 +2025-10-29 18:53:13,535 INFO: [27..][epoch: 0, step: 26,300, lr:(1.500e-04,)] [eta: 19:51:40, time (data): 0.694 (0.000)] l1_latent_opt: 8.5631e-01 l1_pixel_opt: 8.5026e-02 fft_latent_opt: 6.5954e-01 +2025-10-29 18:54:22,828 INFO: [27..][epoch: 0, step: 26,400, lr:(1.500e-04,)] [eta: 19:50:16, time (data): 0.693 (0.000)] l1_latent_opt: 8.7087e-01 l1_pixel_opt: 8.6589e-02 fft_latent_opt: 6.5648e-01 +2025-10-29 18:55:32,118 INFO: [27..][epoch: 0, step: 26,500, lr:(1.500e-04,)] [eta: 19:48:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.6242e-01 l1_pixel_opt: 7.7452e-02 fft_latent_opt: 6.4934e-01 +2025-10-29 18:56:41,411 INFO: [27..][epoch: 0, step: 26,600, lr:(1.500e-04,)] [eta: 19:47:28, time (data): 0.693 (0.000)] l1_latent_opt: 8.6144e-01 l1_pixel_opt: 7.9665e-02 fft_latent_opt: 6.5073e-01 +2025-10-29 18:57:50,671 INFO: [27..][epoch: 0, step: 26,700, lr:(1.500e-04,)] [eta: 19:46:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.5499e-01 l1_pixel_opt: 8.4011e-02 fft_latent_opt: 6.4721e-01 +2025-10-29 18:58:59,965 INFO: [27..][epoch: 0, step: 26,800, lr:(1.500e-04,)] [eta: 19:44:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.5073e-01 l1_pixel_opt: 7.9414e-02 fft_latent_opt: 6.5089e-01 +2025-10-29 19:00:09,243 INFO: [27..][epoch: 0, step: 26,900, lr:(1.500e-04,)] [eta: 19:43:16, time (data): 0.693 (0.000)] l1_latent_opt: 8.6428e-01 l1_pixel_opt: 8.7481e-02 fft_latent_opt: 6.3544e-01 +2025-10-29 19:01:18,532 INFO: [27..][epoch: 0, step: 27,000, lr:(1.500e-04,)] [eta: 19:41:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.6241e-01 l1_pixel_opt: 8.5041e-02 fft_latent_opt: 6.5824e-01 +2025-10-29 19:02:27,750 INFO: [27..][epoch: 0, step: 27,100, lr:(1.500e-04,)] [eta: 19:40:29, time (data): 0.692 (0.000)] l1_latent_opt: 8.4972e-01 l1_pixel_opt: 8.1917e-02 fft_latent_opt: 6.5021e-01 +2025-10-29 19:03:36,791 INFO: [27..][epoch: 0, step: 27,200, lr:(1.500e-04,)] [eta: 19:39:05, time (data): 0.691 (0.000)] l1_latent_opt: 8.6045e-01 l1_pixel_opt: 9.0774e-02 fft_latent_opt: 6.5458e-01 +2025-10-29 19:04:46,196 INFO: [27..][epoch: 0, step: 27,300, lr:(1.500e-04,)] [eta: 19:37:42, time (data): 0.693 (0.000)] l1_latent_opt: 8.5255e-01 l1_pixel_opt: 7.5391e-02 fft_latent_opt: 6.5282e-01 +2025-10-29 19:05:55,541 INFO: [27..][epoch: 0, step: 27,400, lr:(1.500e-04,)] [eta: 19:36:19, time (data): 0.694 (0.000)] l1_latent_opt: 8.5791e-01 l1_pixel_opt: 7.9648e-02 fft_latent_opt: 6.5190e-01 +2025-10-29 19:07:04,843 INFO: [27..][epoch: 0, step: 27,500, lr:(1.500e-04,)] [eta: 19:34:56, time (data): 0.693 (0.000)] l1_latent_opt: 8.5264e-01 l1_pixel_opt: 8.5071e-02 fft_latent_opt: 6.4794e-01 +2025-10-29 19:08:14,119 INFO: [27..][epoch: 0, step: 27,600, lr:(1.500e-04,)] [eta: 19:33:33, time (data): 0.693 (0.000)] l1_latent_opt: 8.5163e-01 l1_pixel_opt: 8.3507e-02 fft_latent_opt: 6.5719e-01 +2025-10-29 19:09:23,419 INFO: [27..][epoch: 0, step: 27,700, lr:(1.500e-04,)] [eta: 19:32:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.6052e-01 l1_pixel_opt: 8.4241e-02 fft_latent_opt: 6.5674e-01 +2025-10-29 19:10:32,725 INFO: [27..][epoch: 0, step: 27,800, lr:(1.500e-04,)] [eta: 19:30:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.5896e-01 l1_pixel_opt: 8.7423e-02 fft_latent_opt: 6.5467e-01 +2025-10-29 19:11:41,999 INFO: [27..][epoch: 0, step: 27,900, lr:(1.500e-04,)] [eta: 19:29:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.5057e-01 l1_pixel_opt: 8.5631e-02 fft_latent_opt: 6.4700e-01 +2025-10-29 19:12:51,300 INFO: [27..][epoch: 0, step: 28,000, lr:(1.500e-04,)] [eta: 19:28:02, time (data): 0.693 (0.000)] l1_latent_opt: 8.5454e-01 l1_pixel_opt: 8.1749e-02 fft_latent_opt: 6.4825e-01 +2025-10-29 19:14:00,571 INFO: [27..][epoch: 0, step: 28,100, lr:(1.500e-04,)] [eta: 19:26:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.4504e-01 l1_pixel_opt: 7.5680e-02 fft_latent_opt: 6.4234e-01 +2025-10-29 19:15:09,865 INFO: [27..][epoch: 0, step: 28,200, lr:(1.500e-04,)] [eta: 19:25:17, time (data): 0.693 (0.000)] l1_latent_opt: 8.5210e-01 l1_pixel_opt: 8.7850e-02 fft_latent_opt: 6.5250e-01 +2025-10-29 19:16:19,203 INFO: [27..][epoch: 0, step: 28,300, lr:(1.500e-04,)] [eta: 19:23:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.5398e-01 l1_pixel_opt: 7.2719e-02 fft_latent_opt: 6.5542e-01 +2025-10-29 19:17:28,747 INFO: [27..][epoch: 0, step: 28,400, lr:(1.500e-04,)] [eta: 19:22:34, time (data): 0.694 (0.000)] l1_latent_opt: 8.5742e-01 l1_pixel_opt: 7.9181e-02 fft_latent_opt: 6.5696e-01 +2025-10-29 19:18:38,075 INFO: [27..][epoch: 0, step: 28,500, lr:(1.500e-04,)] [eta: 19:21:12, time (data): 0.693 (0.000)] l1_latent_opt: 8.5514e-01 l1_pixel_opt: 8.0088e-02 fft_latent_opt: 6.4462e-01 +2025-10-29 19:19:47,675 INFO: [27..][epoch: 0, step: 28,600, lr:(1.500e-04,)] [eta: 19:19:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.5254e-01 l1_pixel_opt: 8.3122e-02 fft_latent_opt: 6.5437e-01 +2025-10-29 19:20:56,944 INFO: [27..][epoch: 0, step: 28,700, lr:(1.500e-04,)] [eta: 19:18:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.5993e-01 l1_pixel_opt: 9.1142e-02 fft_latent_opt: 6.6021e-01 +2025-10-29 19:22:06,279 INFO: [27..][epoch: 0, step: 28,800, lr:(1.500e-04,)] [eta: 19:17:07, time (data): 0.693 (0.000)] l1_latent_opt: 8.5094e-01 l1_pixel_opt: 7.7151e-02 fft_latent_opt: 6.4126e-01 +2025-10-29 19:23:15,558 INFO: [27..][epoch: 0, step: 28,900, lr:(1.500e-04,)] [eta: 19:15:46, time (data): 0.693 (0.000)] l1_latent_opt: 8.5208e-01 l1_pixel_opt: 7.4434e-02 fft_latent_opt: 6.4388e-01 +2025-10-29 19:24:24,865 INFO: [27..][epoch: 0, step: 29,000, lr:(1.500e-04,)] [eta: 19:14:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.6375e-01 l1_pixel_opt: 8.3481e-02 fft_latent_opt: 6.5339e-01 +2025-10-29 19:25:34,142 INFO: [27..][epoch: 0, step: 29,100, lr:(1.500e-04,)] [eta: 19:13:02, time (data): 0.693 (0.000)] l1_latent_opt: 8.5669e-01 l1_pixel_opt: 8.3275e-02 fft_latent_opt: 6.5327e-01 +2025-10-29 19:26:43,417 INFO: [27..][epoch: 0, step: 29,200, lr:(1.500e-04,)] [eta: 19:11:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.4759e-01 l1_pixel_opt: 8.0999e-02 fft_latent_opt: 6.5090e-01 +2025-10-29 19:27:52,674 INFO: [27..][epoch: 0, step: 29,300, lr:(1.500e-04,)] [eta: 19:10:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.5146e-01 l1_pixel_opt: 8.2266e-02 fft_latent_opt: 6.6018e-01 +2025-10-29 19:29:02,024 INFO: [27..][epoch: 0, step: 29,400, lr:(1.500e-04,)] [eta: 19:08:58, time (data): 0.693 (0.000)] l1_latent_opt: 8.4627e-01 l1_pixel_opt: 7.3820e-02 fft_latent_opt: 6.4722e-01 +2025-10-29 19:30:11,336 INFO: [27..][epoch: 0, step: 29,500, lr:(1.500e-04,)] [eta: 19:07:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.6715e-01 l1_pixel_opt: 8.0109e-02 fft_latent_opt: 6.4738e-01 +2025-10-29 19:31:20,624 INFO: [27..][epoch: 0, step: 29,600, lr:(1.500e-04,)] [eta: 19:06:16, time (data): 0.693 (0.000)] l1_latent_opt: 8.5005e-01 l1_pixel_opt: 8.4144e-02 fft_latent_opt: 6.5147e-01 +2025-10-29 19:32:29,901 INFO: [27..][epoch: 0, step: 29,700, lr:(1.500e-04,)] [eta: 19:04:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.6271e-01 l1_pixel_opt: 8.9313e-02 fft_latent_opt: 6.5250e-01 +2025-10-29 19:33:39,166 INFO: [27..][epoch: 0, step: 29,800, lr:(1.500e-04,)] [eta: 19:03:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.5916e-01 l1_pixel_opt: 9.1521e-02 fft_latent_opt: 6.6351e-01 +2025-10-29 19:34:48,456 INFO: [27..][epoch: 0, step: 29,900, lr:(1.500e-04,)] [eta: 19:02:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.5175e-01 l1_pixel_opt: 7.9312e-02 fft_latent_opt: 6.5387e-01 +2025-10-29 19:35:57,866 INFO: [27..][epoch: 0, step: 30,000, lr:(1.500e-04,)] [eta: 19:00:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.5863e-01 l1_pixel_opt: 8.2387e-02 fft_latent_opt: 6.4044e-01 +2025-10-29 19:35:57,867 INFO: Saving models and training states. +2025-10-29 19:38:11,670 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8970 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2918 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 26.9957 Best: 26.9957 @ 30000 iter + +2025-10-29 19:39:21,429 INFO: [27..][epoch: 0, step: 30,100, lr:(1.500e-04,)] [eta: 19:06:35, time (data): 0.696 (0.000)] l1_latent_opt: 8.7398e-01 l1_pixel_opt: 1.0059e-01 fft_latent_opt: 6.6054e-01 +2025-10-29 19:40:31,295 INFO: [27..][epoch: 0, step: 30,200, lr:(1.500e-04,)] [eta: 19:05:14, time (data): 0.698 (0.000)] l1_latent_opt: 8.6578e-01 l1_pixel_opt: 9.2151e-02 fft_latent_opt: 6.6050e-01 +2025-10-29 19:41:40,841 INFO: [27..][epoch: 0, step: 30,300, lr:(1.500e-04,)] [eta: 19:03:52, time (data): 0.696 (0.000)] l1_latent_opt: 8.4817e-01 l1_pixel_opt: 8.2889e-02 fft_latent_opt: 6.5229e-01 +2025-10-29 19:42:50,207 INFO: [27..][epoch: 0, step: 30,400, lr:(1.500e-04,)] [eta: 19:02:30, time (data): 0.694 (0.000)] l1_latent_opt: 8.5553e-01 l1_pixel_opt: 8.4247e-02 fft_latent_opt: 6.5338e-01 +2025-10-29 19:43:59,593 INFO: [27..][epoch: 0, step: 30,500, lr:(1.500e-04,)] [eta: 19:01:08, time (data): 0.694 (0.000)] l1_latent_opt: 8.4744e-01 l1_pixel_opt: 8.6218e-02 fft_latent_opt: 6.4277e-01 +2025-10-29 19:45:09,374 INFO: [27..][epoch: 0, step: 30,600, lr:(1.500e-04,)] [eta: 18:59:47, time (data): 0.698 (0.000)] l1_latent_opt: 8.4968e-01 l1_pixel_opt: 8.6636e-02 fft_latent_opt: 6.4734e-01 +2025-10-29 19:46:18,817 INFO: [27..][epoch: 0, step: 30,700, lr:(1.500e-04,)] [eta: 18:58:26, time (data): 0.695 (0.000)] l1_latent_opt: 8.6104e-01 l1_pixel_opt: 8.2287e-02 fft_latent_opt: 6.5711e-01 +2025-10-29 19:47:28,233 INFO: [27..][epoch: 1, step: 30,800, lr:(1.500e-04,)] [eta: 18:57:04, time (data): 0.691 (0.000)] l1_latent_opt: 8.4873e-01 l1_pixel_opt: 8.2965e-02 fft_latent_opt: 6.5063e-01 +2025-10-29 19:48:37,373 INFO: [27..][epoch: 1, step: 30,900, lr:(1.500e-04,)] [eta: 18:55:42, time (data): 0.691 (0.000)] l1_latent_opt: 8.5146e-01 l1_pixel_opt: 8.3864e-02 fft_latent_opt: 6.4834e-01 +2025-10-29 19:49:46,999 INFO: [27..][epoch: 1, step: 31,000, lr:(1.500e-04,)] [eta: 18:54:21, time (data): 0.694 (0.000)] l1_latent_opt: 8.4989e-01 l1_pixel_opt: 8.1753e-02 fft_latent_opt: 6.4690e-01 +2025-10-29 19:50:56,408 INFO: [27..][epoch: 1, step: 31,100, lr:(1.500e-04,)] [eta: 18:52:59, time (data): 0.694 (0.000)] l1_latent_opt: 8.4989e-01 l1_pixel_opt: 7.6843e-02 fft_latent_opt: 6.4789e-01 +2025-10-29 19:52:05,895 INFO: [27..][epoch: 1, step: 31,200, lr:(1.500e-04,)] [eta: 18:51:38, time (data): 0.696 (0.000)] l1_latent_opt: 8.5859e-01 l1_pixel_opt: 7.7499e-02 fft_latent_opt: 6.4113e-01 +2025-10-29 19:53:15,158 INFO: [27..][epoch: 1, step: 31,300, lr:(1.500e-04,)] [eta: 18:50:16, time (data): 0.694 (0.000)] l1_latent_opt: 8.5506e-01 l1_pixel_opt: 8.3077e-02 fft_latent_opt: 6.6053e-01 +2025-10-29 19:54:24,404 INFO: [27..][epoch: 1, step: 31,400, lr:(1.500e-04,)] [eta: 18:48:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.6188e-01 l1_pixel_opt: 8.4422e-02 fft_latent_opt: 6.5550e-01 +2025-10-29 19:55:33,650 INFO: [27..][epoch: 1, step: 31,500, lr:(1.500e-04,)] [eta: 18:47:33, time (data): 0.693 (0.000)] l1_latent_opt: 8.5863e-01 l1_pixel_opt: 8.6184e-02 fft_latent_opt: 6.5937e-01 +2025-10-29 19:56:42,910 INFO: [27..][epoch: 1, step: 31,600, lr:(1.500e-04,)] [eta: 18:46:12, time (data): 0.693 (0.000)] l1_latent_opt: 8.5674e-01 l1_pixel_opt: 8.6799e-02 fft_latent_opt: 6.4355e-01 +2025-10-29 19:57:52,499 INFO: [27..][epoch: 1, step: 31,700, lr:(1.500e-04,)] [eta: 18:44:51, time (data): 0.695 (0.000)] l1_latent_opt: 8.5495e-01 l1_pixel_opt: 8.0477e-02 fft_latent_opt: 6.4785e-01 +2025-10-29 19:59:02,064 INFO: [27..][epoch: 1, step: 31,800, lr:(1.500e-04,)] [eta: 18:43:31, time (data): 0.695 (0.000)] l1_latent_opt: 8.5265e-01 l1_pixel_opt: 8.3859e-02 fft_latent_opt: 6.4858e-01 +2025-10-29 20:00:11,368 INFO: [27..][epoch: 1, step: 31,900, lr:(1.500e-04,)] [eta: 18:42:10, time (data): 0.694 (0.000)] l1_latent_opt: 8.6100e-01 l1_pixel_opt: 8.5580e-02 fft_latent_opt: 6.4337e-01 +2025-10-29 20:01:20,586 INFO: [27..][epoch: 1, step: 32,000, lr:(1.500e-04,)] [eta: 18:40:48, time (data): 0.692 (0.000)] l1_latent_opt: 8.5309e-01 l1_pixel_opt: 7.8017e-02 fft_latent_opt: 6.5665e-01 +2025-10-29 20:02:29,816 INFO: [27..][epoch: 1, step: 32,100, lr:(1.500e-04,)] [eta: 18:39:27, time (data): 0.692 (0.000)] l1_latent_opt: 8.5973e-01 l1_pixel_opt: 8.4016e-02 fft_latent_opt: 6.5132e-01 +2025-10-29 20:03:39,104 INFO: [27..][epoch: 1, step: 32,200, lr:(1.500e-04,)] [eta: 18:38:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.6782e-01 l1_pixel_opt: 8.6508e-02 fft_latent_opt: 6.5339e-01 +2025-10-29 20:04:48,327 INFO: [27..][epoch: 1, step: 32,300, lr:(1.500e-04,)] [eta: 18:36:45, time (data): 0.692 (0.000)] l1_latent_opt: 8.5343e-01 l1_pixel_opt: 8.7863e-02 fft_latent_opt: 6.6117e-01 +2025-10-29 20:05:58,098 INFO: [27..][epoch: 1, step: 32,400, lr:(1.500e-04,)] [eta: 18:35:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.4953e-01 l1_pixel_opt: 7.7039e-02 fft_latent_opt: 6.4851e-01 +2025-10-29 20:07:07,476 INFO: [27..][epoch: 1, step: 32,500, lr:(1.500e-04,)] [eta: 18:34:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.5790e-01 l1_pixel_opt: 8.4366e-02 fft_latent_opt: 6.4716e-01 +2025-10-29 20:08:16,686 INFO: [27..][epoch: 1, step: 32,600, lr:(1.500e-04,)] [eta: 18:32:44, time (data): 0.692 (0.000)] l1_latent_opt: 8.5714e-01 l1_pixel_opt: 8.3190e-02 fft_latent_opt: 6.5325e-01 +2025-10-29 20:09:25,907 INFO: [27..][epoch: 1, step: 32,700, lr:(1.500e-04,)] [eta: 18:31:23, time (data): 0.692 (0.000)] l1_latent_opt: 8.5901e-01 l1_pixel_opt: 8.3814e-02 fft_latent_opt: 6.5181e-01 +2025-10-29 20:10:35,392 INFO: [27..][epoch: 1, step: 32,800, lr:(1.500e-04,)] [eta: 18:30:03, time (data): 0.699 (0.000)] l1_latent_opt: 8.5010e-01 l1_pixel_opt: 7.4093e-02 fft_latent_opt: 6.3891e-01 +2025-10-29 20:11:44,697 INFO: [27..][epoch: 1, step: 32,900, lr:(1.500e-04,)] [eta: 18:28:43, time (data): 0.695 (0.000)] l1_latent_opt: 8.4819e-01 l1_pixel_opt: 8.0395e-02 fft_latent_opt: 6.5713e-01 +2025-10-29 20:12:54,223 INFO: [27..][epoch: 1, step: 33,000, lr:(1.500e-04,)] [eta: 18:27:23, time (data): 0.700 (0.000)] l1_latent_opt: 8.3786e-01 l1_pixel_opt: 7.2911e-02 fft_latent_opt: 6.5199e-01 +2025-10-29 20:14:04,354 INFO: [27..][epoch: 1, step: 33,100, lr:(1.500e-04,)] [eta: 18:26:05, time (data): 0.701 (0.000)] l1_latent_opt: 8.6228e-01 l1_pixel_opt: 8.9212e-02 fft_latent_opt: 6.5099e-01 +2025-10-29 20:15:13,923 INFO: [27..][epoch: 1, step: 33,200, lr:(1.500e-04,)] [eta: 18:24:45, time (data): 0.694 (0.000)] l1_latent_opt: 8.5660e-01 l1_pixel_opt: 8.3014e-02 fft_latent_opt: 6.4713e-01 +2025-10-29 20:16:24,132 INFO: [27..][epoch: 1, step: 33,300, lr:(1.500e-04,)] [eta: 18:23:28, time (data): 0.700 (0.000)] l1_latent_opt: 8.6009e-01 l1_pixel_opt: 8.1060e-02 fft_latent_opt: 6.6093e-01 +2025-10-29 20:17:33,391 INFO: [27..][epoch: 1, step: 33,400, lr:(1.500e-04,)] [eta: 18:22:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.4375e-01 l1_pixel_opt: 7.8695e-02 fft_latent_opt: 6.5397e-01 +2025-10-29 20:18:42,468 INFO: [27..][epoch: 1, step: 33,500, lr:(1.500e-04,)] [eta: 18:20:47, time (data): 0.691 (0.000)] l1_latent_opt: 8.5803e-01 l1_pixel_opt: 8.5120e-02 fft_latent_opt: 6.4962e-01 +2025-10-29 20:19:51,684 INFO: [27..][epoch: 1, step: 33,600, lr:(1.500e-04,)] [eta: 18:19:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.5875e-01 l1_pixel_opt: 8.8026e-02 fft_latent_opt: 6.5632e-01 +2025-10-29 20:21:01,013 INFO: [27..][epoch: 1, step: 33,700, lr:(1.500e-04,)] [eta: 18:18:07, time (data): 0.693 (0.000)] l1_latent_opt: 8.6237e-01 l1_pixel_opt: 8.1325e-02 fft_latent_opt: 6.5489e-01 +2025-10-29 20:22:10,256 INFO: [27..][epoch: 1, step: 33,800, lr:(1.500e-04,)] [eta: 18:16:46, time (data): 0.692 (0.000)] l1_latent_opt: 8.5349e-01 l1_pixel_opt: 7.8361e-02 fft_latent_opt: 6.4871e-01 +2025-10-29 20:23:19,584 INFO: [27..][epoch: 1, step: 33,900, lr:(1.500e-04,)] [eta: 18:15:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.4794e-01 l1_pixel_opt: 8.1005e-02 fft_latent_opt: 6.4846e-01 +2025-10-29 20:24:28,828 INFO: [27..][epoch: 1, step: 34,000, lr:(1.500e-04,)] [eta: 18:14:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.5595e-01 l1_pixel_opt: 8.3328e-02 fft_latent_opt: 6.4998e-01 +2025-10-29 20:25:38,136 INFO: [27..][epoch: 1, step: 34,100, lr:(1.500e-04,)] [eta: 18:12:47, time (data): 0.693 (0.000)] l1_latent_opt: 8.5612e-01 l1_pixel_opt: 9.1419e-02 fft_latent_opt: 6.5430e-01 +2025-10-29 20:26:47,423 INFO: [27..][epoch: 1, step: 34,200, lr:(1.500e-04,)] [eta: 18:11:27, time (data): 0.694 (0.000)] l1_latent_opt: 8.6264e-01 l1_pixel_opt: 8.3906e-02 fft_latent_opt: 6.5571e-01 +2025-10-29 20:27:56,844 INFO: [27..][epoch: 1, step: 34,300, lr:(1.500e-04,)] [eta: 18:10:08, time (data): 0.694 (0.000)] l1_latent_opt: 8.5179e-01 l1_pixel_opt: 8.3338e-02 fft_latent_opt: 6.4570e-01 +2025-10-29 20:29:06,340 INFO: [27..][epoch: 1, step: 34,400, lr:(1.500e-04,)] [eta: 18:08:49, time (data): 0.700 (0.000)] l1_latent_opt: 8.4813e-01 l1_pixel_opt: 8.5793e-02 fft_latent_opt: 6.4206e-01 +2025-10-29 20:30:15,690 INFO: [27..][epoch: 1, step: 34,500, lr:(1.500e-04,)] [eta: 18:07:30, time (data): 0.695 (0.000)] l1_latent_opt: 8.7395e-01 l1_pixel_opt: 9.9271e-02 fft_latent_opt: 6.6396e-01 +2025-10-29 20:31:24,979 INFO: [27..][epoch: 1, step: 34,600, lr:(1.500e-04,)] [eta: 18:06:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.5799e-01 l1_pixel_opt: 8.0532e-02 fft_latent_opt: 6.5087e-01 +2025-10-29 20:32:34,152 INFO: [27..][epoch: 1, step: 34,700, lr:(1.500e-04,)] [eta: 18:04:51, time (data): 0.692 (0.000)] l1_latent_opt: 8.5362e-01 l1_pixel_opt: 8.1594e-02 fft_latent_opt: 6.4777e-01 +2025-10-29 20:33:43,378 INFO: [27..][epoch: 1, step: 34,800, lr:(1.500e-04,)] [eta: 18:03:31, time (data): 0.697 (0.000)] l1_latent_opt: 8.4832e-01 l1_pixel_opt: 8.3391e-02 fft_latent_opt: 6.5095e-01 +2025-10-29 20:34:52,723 INFO: [27..][epoch: 1, step: 34,900, lr:(1.500e-04,)] [eta: 18:02:12, time (data): 0.694 (0.000)] l1_latent_opt: 8.5544e-01 l1_pixel_opt: 8.0919e-02 fft_latent_opt: 6.4338e-01 +2025-10-29 20:36:02,549 INFO: [27..][epoch: 1, step: 35,000, lr:(1.500e-04,)] [eta: 18:00:54, time (data): 0.703 (0.000)] l1_latent_opt: 8.5923e-01 l1_pixel_opt: 9.5639e-02 fft_latent_opt: 6.5720e-01 +2025-10-29 20:36:02,550 INFO: Saving models and training states. +2025-10-29 20:38:18,576 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8949 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2858 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.0435 Best: 27.0435 @ 35000 iter + +2025-10-29 20:39:28,012 INFO: [27..][epoch: 1, step: 35,100, lr:(1.500e-04,)] [eta: 18:05:24, time (data): 0.696 (0.000)] l1_latent_opt: 8.5930e-01 l1_pixel_opt: 8.1040e-02 fft_latent_opt: 6.4804e-01 +2025-10-29 20:40:37,395 INFO: [27..][epoch: 1, step: 35,200, lr:(1.500e-04,)] [eta: 18:04:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.5879e-01 l1_pixel_opt: 8.3012e-02 fft_latent_opt: 6.5544e-01 +2025-10-29 20:41:46,701 INFO: [27..][epoch: 1, step: 35,300, lr:(1.500e-04,)] [eta: 18:02:43, time (data): 0.693 (0.000)] l1_latent_opt: 8.6491e-01 l1_pixel_opt: 8.9776e-02 fft_latent_opt: 6.6087e-01 +2025-10-29 20:42:56,084 INFO: [27..][epoch: 1, step: 35,400, lr:(1.500e-04,)] [eta: 18:01:23, time (data): 0.693 (0.000)] l1_latent_opt: 8.4935e-01 l1_pixel_opt: 8.2308e-02 fft_latent_opt: 6.5145e-01 +2025-10-29 20:44:05,337 INFO: [27..][epoch: 1, step: 35,500, lr:(1.500e-04,)] [eta: 18:00:03, time (data): 0.693 (0.000)] l1_latent_opt: 8.4899e-01 l1_pixel_opt: 8.5153e-02 fft_latent_opt: 6.5045e-01 +2025-10-29 20:45:14,597 INFO: [27..][epoch: 1, step: 35,600, lr:(1.500e-04,)] [eta: 17:58:42, time (data): 0.693 (0.000)] l1_latent_opt: 8.5124e-01 l1_pixel_opt: 8.8797e-02 fft_latent_opt: 6.5266e-01 +2025-10-29 20:46:24,131 INFO: [27..][epoch: 1, step: 35,700, lr:(1.500e-04,)] [eta: 17:57:23, time (data): 0.695 (0.000)] l1_latent_opt: 8.5419e-01 l1_pixel_opt: 8.4618e-02 fft_latent_opt: 6.4920e-01 +2025-10-29 20:47:33,430 INFO: [27..][epoch: 1, step: 35,800, lr:(1.500e-04,)] [eta: 17:56:03, time (data): 0.693 (0.000)] l1_latent_opt: 8.4909e-01 l1_pixel_opt: 8.7559e-02 fft_latent_opt: 6.4663e-01 +2025-10-29 20:48:42,799 INFO: [27..][epoch: 1, step: 35,900, lr:(1.500e-04,)] [eta: 17:54:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.5001e-01 l1_pixel_opt: 7.8064e-02 fft_latent_opt: 6.4266e-01 +2025-10-29 20:49:52,196 INFO: [27..][epoch: 1, step: 36,000, lr:(1.500e-04,)] [eta: 17:53:23, time (data): 0.694 (0.000)] l1_latent_opt: 8.4671e-01 l1_pixel_opt: 7.8480e-02 fft_latent_opt: 6.4807e-01 +2025-10-29 20:51:01,463 INFO: [27..][epoch: 1, step: 36,100, lr:(1.500e-04,)] [eta: 17:52:03, time (data): 0.693 (0.000)] l1_latent_opt: 8.5739e-01 l1_pixel_opt: 8.3577e-02 fft_latent_opt: 6.5384e-01 +2025-10-29 20:52:17,176 INFO: [27..][epoch: 1, step: 36,200, lr:(1.500e-04,)] [eta: 17:50:59, time (data): 0.693 (0.000)] l1_latent_opt: 8.4760e-01 l1_pixel_opt: 8.1647e-02 fft_latent_opt: 6.6167e-01 +2025-10-29 20:53:26,533 INFO: [27..][epoch: 1, step: 36,300, lr:(1.500e-04,)] [eta: 17:49:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.5415e-01 l1_pixel_opt: 7.8214e-02 fft_latent_opt: 6.4693e-01 +2025-10-29 20:54:35,862 INFO: [27..][epoch: 1, step: 36,400, lr:(1.500e-04,)] [eta: 17:48:20, time (data): 0.693 (0.000)] l1_latent_opt: 8.5193e-01 l1_pixel_opt: 8.1709e-02 fft_latent_opt: 6.5095e-01 +2025-10-29 20:55:45,185 INFO: [27..][epoch: 1, step: 36,500, lr:(1.500e-04,)] [eta: 17:47:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.6560e-01 l1_pixel_opt: 9.7671e-02 fft_latent_opt: 6.4978e-01 +2025-10-29 20:56:54,469 INFO: [27..][epoch: 1, step: 36,600, lr:(1.500e-04,)] [eta: 17:45:40, time (data): 0.692 (0.000)] l1_latent_opt: 8.5346e-01 l1_pixel_opt: 8.5315e-02 fft_latent_opt: 6.5804e-01 +2025-10-29 20:58:03,747 INFO: [27..][epoch: 1, step: 36,700, lr:(1.500e-04,)] [eta: 17:44:20, time (data): 0.693 (0.000)] l1_latent_opt: 8.6087e-01 l1_pixel_opt: 8.5854e-02 fft_latent_opt: 6.5397e-01 +2025-10-29 20:59:13,355 INFO: [27..][epoch: 1, step: 36,800, lr:(1.500e-04,)] [eta: 17:43:02, time (data): 0.693 (0.000)] l1_latent_opt: 8.4790e-01 l1_pixel_opt: 7.4107e-02 fft_latent_opt: 6.5091e-01 +2025-10-29 21:00:29,155 INFO: [27..][epoch: 1, step: 36,900, lr:(1.500e-04,)] [eta: 17:41:58, time (data): 0.749 (0.000)] l1_latent_opt: 8.5245e-01 l1_pixel_opt: 7.6246e-02 fft_latent_opt: 6.4893e-01 +2025-10-29 21:01:38,875 INFO: [27..][epoch: 1, step: 37,000, lr:(1.500e-04,)] [eta: 17:40:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.4998e-01 l1_pixel_opt: 8.0248e-02 fft_latent_opt: 6.3995e-01 +2025-10-29 21:02:48,537 INFO: [27..][epoch: 1, step: 37,100, lr:(1.500e-04,)] [eta: 17:39:21, time (data): 0.696 (0.000)] l1_latent_opt: 8.4913e-01 l1_pixel_opt: 8.2623e-02 fft_latent_opt: 6.5139e-01 +2025-10-29 21:04:04,387 INFO: [27..][epoch: 1, step: 37,200, lr:(1.500e-04,)] [eta: 17:38:17, time (data): 0.692 (0.000)] l1_latent_opt: 8.6122e-01 l1_pixel_opt: 8.4849e-02 fft_latent_opt: 6.5305e-01 +2025-10-29 21:05:13,676 INFO: [27..][epoch: 1, step: 37,300, lr:(1.500e-04,)] [eta: 17:36:57, time (data): 0.693 (0.000)] l1_latent_opt: 8.5459e-01 l1_pixel_opt: 8.7624e-02 fft_latent_opt: 6.5092e-01 +2025-10-29 21:06:22,924 INFO: [27..][epoch: 1, step: 37,400, lr:(1.500e-04,)] [eta: 17:35:38, time (data): 0.692 (0.000)] l1_latent_opt: 8.4723e-01 l1_pixel_opt: 7.8055e-02 fft_latent_opt: 6.4716e-01 +2025-10-29 21:07:32,459 INFO: [27..][epoch: 1, step: 37,500, lr:(1.500e-04,)] [eta: 17:34:19, time (data): 0.695 (0.000)] l1_latent_opt: 8.5498e-01 l1_pixel_opt: 8.4180e-02 fft_latent_opt: 6.4355e-01 +2025-10-29 21:08:41,844 INFO: [27..][epoch: 1, step: 37,600, lr:(1.500e-04,)] [eta: 17:33:00, time (data): 0.694 (0.000)] l1_latent_opt: 8.5880e-01 l1_pixel_opt: 8.5180e-02 fft_latent_opt: 6.4405e-01 +2025-10-29 21:09:51,177 INFO: [27..][epoch: 1, step: 37,700, lr:(1.500e-04,)] [eta: 17:31:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.5864e-01 l1_pixel_opt: 8.6242e-02 fft_latent_opt: 6.5398e-01 +2025-10-29 21:11:00,530 INFO: [27..][epoch: 1, step: 37,800, lr:(1.500e-04,)] [eta: 17:30:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.5110e-01 l1_pixel_opt: 7.4568e-02 fft_latent_opt: 6.4822e-01 +2025-10-29 21:12:10,122 INFO: [27..][epoch: 1, step: 37,900, lr:(1.500e-04,)] [eta: 17:29:03, time (data): 0.696 (0.000)] l1_latent_opt: 8.6265e-01 l1_pixel_opt: 8.2921e-02 fft_latent_opt: 6.4029e-01 +2025-10-29 21:13:19,985 INFO: [27..][epoch: 1, step: 38,000, lr:(1.500e-04,)] [eta: 17:27:45, time (data): 0.696 (0.000)] l1_latent_opt: 8.4927e-01 l1_pixel_opt: 7.6326e-02 fft_latent_opt: 6.4849e-01 +2025-10-29 21:14:29,389 INFO: [27..][epoch: 1, step: 38,100, lr:(1.500e-04,)] [eta: 17:26:27, time (data): 0.694 (0.000)] l1_latent_opt: 8.6399e-01 l1_pixel_opt: 8.9056e-02 fft_latent_opt: 6.5798e-01 +2025-10-29 21:15:38,721 INFO: [27..][epoch: 1, step: 38,200, lr:(1.500e-04,)] [eta: 17:25:08, time (data): 0.692 (0.000)] l1_latent_opt: 8.5681e-01 l1_pixel_opt: 8.3904e-02 fft_latent_opt: 6.4844e-01 +2025-10-29 21:16:47,914 INFO: [27..][epoch: 1, step: 38,300, lr:(1.500e-04,)] [eta: 17:23:49, time (data): 0.692 (0.000)] l1_latent_opt: 8.4927e-01 l1_pixel_opt: 8.0144e-02 fft_latent_opt: 6.4511e-01 +2025-10-29 21:17:57,070 INFO: [27..][epoch: 1, step: 38,400, lr:(1.500e-04,)] [eta: 17:22:29, time (data): 0.694 (0.000)] l1_latent_opt: 8.5229e-01 l1_pixel_opt: 8.4116e-02 fft_latent_opt: 6.4421e-01 +2025-10-29 21:19:06,588 INFO: [27..][epoch: 1, step: 38,500, lr:(1.500e-04,)] [eta: 17:21:11, time (data): 0.695 (0.000)] l1_latent_opt: 8.4954e-01 l1_pixel_opt: 8.0005e-02 fft_latent_opt: 6.3631e-01 +2025-10-29 21:20:16,576 INFO: [27..][epoch: 1, step: 38,600, lr:(1.500e-04,)] [eta: 17:19:54, time (data): 0.700 (0.000)] l1_latent_opt: 8.5584e-01 l1_pixel_opt: 7.4228e-02 fft_latent_opt: 6.3842e-01 +2025-10-29 21:21:26,345 INFO: [27..][epoch: 1, step: 38,700, lr:(1.500e-04,)] [eta: 17:18:36, time (data): 0.698 (0.000)] l1_latent_opt: 8.5280e-01 l1_pixel_opt: 8.2854e-02 fft_latent_opt: 6.5461e-01 +2025-10-29 21:22:35,717 INFO: [27..][epoch: 1, step: 38,800, lr:(1.500e-04,)] [eta: 17:17:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.5455e-01 l1_pixel_opt: 8.1195e-02 fft_latent_opt: 6.5152e-01 +2025-10-29 21:23:45,021 INFO: [27..][epoch: 1, step: 38,900, lr:(1.500e-04,)] [eta: 17:15:59, time (data): 0.693 (0.000)] l1_latent_opt: 8.4624e-01 l1_pixel_opt: 7.6486e-02 fft_latent_opt: 6.4885e-01 +2025-10-29 21:24:54,407 INFO: [27..][epoch: 1, step: 39,000, lr:(1.500e-04,)] [eta: 17:14:41, time (data): 0.694 (0.000)] l1_latent_opt: 8.5375e-01 l1_pixel_opt: 9.1686e-02 fft_latent_opt: 6.5262e-01 +2025-10-29 21:26:03,718 INFO: [27..][epoch: 1, step: 39,100, lr:(1.500e-04,)] [eta: 17:13:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.6708e-01 l1_pixel_opt: 9.1469e-02 fft_latent_opt: 6.4628e-01 +2025-10-29 21:27:13,118 INFO: [27..][epoch: 1, step: 39,200, lr:(1.500e-04,)] [eta: 17:12:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.6214e-01 l1_pixel_opt: 8.3750e-02 fft_latent_opt: 6.5680e-01 +2025-10-29 21:28:22,375 INFO: [27..][epoch: 1, step: 39,300, lr:(1.500e-04,)] [eta: 17:10:45, time (data): 0.693 (0.000)] l1_latent_opt: 8.4941e-01 l1_pixel_opt: 7.9355e-02 fft_latent_opt: 6.4016e-01 +2025-10-29 21:29:31,594 INFO: [27..][epoch: 1, step: 39,400, lr:(1.500e-04,)] [eta: 17:09:27, time (data): 0.692 (0.000)] l1_latent_opt: 8.5943e-01 l1_pixel_opt: 8.1019e-02 fft_latent_opt: 6.5151e-01 +2025-10-29 21:30:40,802 INFO: [27..][epoch: 1, step: 39,500, lr:(1.500e-04,)] [eta: 17:08:08, time (data): 0.692 (0.000)] l1_latent_opt: 8.5145e-01 l1_pixel_opt: 7.9060e-02 fft_latent_opt: 6.5566e-01 +2025-10-29 21:31:50,043 INFO: [27..][epoch: 1, step: 39,600, lr:(1.500e-04,)] [eta: 17:06:50, time (data): 0.691 (0.000)] l1_latent_opt: 8.5437e-01 l1_pixel_opt: 8.1729e-02 fft_latent_opt: 6.4471e-01 +2025-10-29 21:32:59,304 INFO: [27..][epoch: 1, step: 39,700, lr:(1.500e-04,)] [eta: 17:05:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.5056e-01 l1_pixel_opt: 8.6400e-02 fft_latent_opt: 6.5242e-01 +2025-10-29 21:34:08,710 INFO: [27..][epoch: 1, step: 39,800, lr:(1.500e-04,)] [eta: 17:04:13, time (data): 0.695 (0.000)] l1_latent_opt: 8.5375e-01 l1_pixel_opt: 8.3128e-02 fft_latent_opt: 6.4659e-01 +2025-10-29 21:35:18,154 INFO: [27..][epoch: 1, step: 39,900, lr:(1.500e-04,)] [eta: 17:02:56, time (data): 0.694 (0.000)] l1_latent_opt: 8.5526e-01 l1_pixel_opt: 7.6800e-02 fft_latent_opt: 6.5453e-01 +2025-10-29 21:36:27,470 INFO: [27..][epoch: 1, step: 40,000, lr:(1.500e-04,)] [eta: 17:01:38, time (data): 0.692 (0.000)] l1_latent_opt: 8.5142e-01 l1_pixel_opt: 8.3478e-02 fft_latent_opt: 6.4790e-01 +2025-10-29 21:36:27,471 INFO: Saving models and training states. +2025-10-29 21:38:42,020 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8945 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2850 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.0732 Best: 27.0732 @ 40000 iter + +2025-10-29 21:39:51,402 INFO: [27..][epoch: 1, step: 40,100, lr:(1.500e-04,)] [eta: 17:05:04, time (data): 0.694 (0.000)] l1_latent_opt: 8.5194e-01 l1_pixel_opt: 8.6359e-02 fft_latent_opt: 6.5245e-01 +2025-10-29 21:41:01,096 INFO: [27..][epoch: 1, step: 40,200, lr:(1.500e-04,)] [eta: 17:03:46, time (data): 0.695 (0.000)] l1_latent_opt: 8.5426e-01 l1_pixel_opt: 8.6228e-02 fft_latent_opt: 6.5258e-01 +2025-10-29 21:42:10,621 INFO: [27..][epoch: 1, step: 40,300, lr:(1.500e-04,)] [eta: 17:02:28, time (data): 0.695 (0.000)] l1_latent_opt: 8.5568e-01 l1_pixel_opt: 8.8445e-02 fft_latent_opt: 6.4994e-01 +2025-10-29 21:43:19,996 INFO: [27..][epoch: 1, step: 40,400, lr:(1.500e-04,)] [eta: 17:01:09, time (data): 0.694 (0.000)] l1_latent_opt: 8.5548e-01 l1_pixel_opt: 7.9250e-02 fft_latent_opt: 6.4991e-01 +2025-10-29 21:44:29,354 INFO: [27..][epoch: 1, step: 40,500, lr:(1.500e-04,)] [eta: 16:59:50, time (data): 0.694 (0.000)] l1_latent_opt: 8.4802e-01 l1_pixel_opt: 7.7110e-02 fft_latent_opt: 6.5809e-01 +2025-10-29 21:45:38,645 INFO: [27..][epoch: 1, step: 40,600, lr:(1.500e-04,)] [eta: 16:58:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.6071e-01 l1_pixel_opt: 8.9338e-02 fft_latent_opt: 6.5174e-01 +2025-10-29 21:46:47,976 INFO: [27..][epoch: 1, step: 40,700, lr:(1.500e-04,)] [eta: 16:57:12, time (data): 0.693 (0.000)] l1_latent_opt: 8.5584e-01 l1_pixel_opt: 9.0534e-02 fft_latent_opt: 6.4840e-01 +2025-10-29 21:47:57,338 INFO: [27..][epoch: 1, step: 40,800, lr:(1.500e-04,)] [eta: 16:55:54, time (data): 0.693 (0.000)] l1_latent_opt: 8.5471e-01 l1_pixel_opt: 9.0814e-02 fft_latent_opt: 6.4724e-01 +2025-10-29 21:49:06,624 INFO: [27..][epoch: 1, step: 40,900, lr:(1.500e-04,)] [eta: 16:54:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.5370e-01 l1_pixel_opt: 8.2724e-02 fft_latent_opt: 6.5080e-01 +2025-10-29 21:50:16,573 INFO: [27..][epoch: 1, step: 41,000, lr:(1.500e-04,)] [eta: 16:53:17, time (data): 0.696 (0.000)] l1_latent_opt: 8.4835e-01 l1_pixel_opt: 8.2393e-02 fft_latent_opt: 6.5746e-01 +2025-10-29 21:51:27,376 INFO: [27..][epoch: 1, step: 41,100, lr:(1.500e-04,)] [eta: 16:52:02, time (data): 0.708 (0.000)] l1_latent_opt: 8.5179e-01 l1_pixel_opt: 8.3816e-02 fft_latent_opt: 6.5362e-01 +2025-10-29 21:52:36,865 INFO: [27..][epoch: 1, step: 41,200, lr:(1.500e-04,)] [eta: 16:50:44, time (data): 0.701 (0.000)] l1_latent_opt: 8.4744e-01 l1_pixel_opt: 8.6592e-02 fft_latent_opt: 6.4974e-01 +2025-10-29 21:53:46,141 INFO: [27..][epoch: 1, step: 41,300, lr:(1.500e-04,)] [eta: 16:49:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.5418e-01 l1_pixel_opt: 7.5335e-02 fft_latent_opt: 6.3900e-01 +2025-10-29 21:54:55,428 INFO: [27..][epoch: 1, step: 41,400, lr:(1.500e-04,)] [eta: 16:48:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.6363e-01 l1_pixel_opt: 8.0141e-02 fft_latent_opt: 6.6015e-01 +2025-10-29 21:56:04,787 INFO: [27..][epoch: 1, step: 41,500, lr:(1.500e-04,)] [eta: 16:46:48, time (data): 0.694 (0.000)] l1_latent_opt: 8.6044e-01 l1_pixel_opt: 8.9716e-02 fft_latent_opt: 6.4648e-01 +2025-10-29 21:57:14,192 INFO: [27..][epoch: 1, step: 41,600, lr:(1.500e-04,)] [eta: 16:45:30, time (data): 0.694 (0.000)] l1_latent_opt: 8.6262e-01 l1_pixel_opt: 9.0923e-02 fft_latent_opt: 6.5375e-01 +2025-10-29 21:58:23,515 INFO: [27..][epoch: 1, step: 41,700, lr:(1.500e-04,)] [eta: 16:44:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.5142e-01 l1_pixel_opt: 8.4930e-02 fft_latent_opt: 6.4499e-01 +2025-10-29 21:59:32,830 INFO: [27..][epoch: 1, step: 41,800, lr:(1.500e-04,)] [eta: 16:42:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.5493e-01 l1_pixel_opt: 7.5570e-02 fft_latent_opt: 6.4321e-01 +2025-10-29 22:00:42,195 INFO: [27..][epoch: 1, step: 41,900, lr:(1.500e-04,)] [eta: 16:41:35, time (data): 0.694 (0.000)] l1_latent_opt: 8.5484e-01 l1_pixel_opt: 8.7311e-02 fft_latent_opt: 6.5027e-01 +2025-10-29 22:01:52,187 INFO: [27..][epoch: 1, step: 42,000, lr:(1.500e-04,)] [eta: 16:40:18, time (data): 0.697 (0.000)] l1_latent_opt: 8.4810e-01 l1_pixel_opt: 7.8500e-02 fft_latent_opt: 6.5482e-01 +2025-10-29 22:03:02,159 INFO: [27..][epoch: 1, step: 42,100, lr:(1.500e-04,)] [eta: 16:39:01, time (data): 0.698 (0.000)] l1_latent_opt: 8.6509e-01 l1_pixel_opt: 8.8588e-02 fft_latent_opt: 6.5196e-01 +2025-10-29 22:04:11,466 INFO: [27..][epoch: 1, step: 42,200, lr:(1.500e-04,)] [eta: 16:37:43, time (data): 0.695 (0.000)] l1_latent_opt: 8.4847e-01 l1_pixel_opt: 8.3005e-02 fft_latent_opt: 6.4593e-01 +2025-10-29 22:05:20,911 INFO: [27..][epoch: 1, step: 42,300, lr:(1.500e-04,)] [eta: 16:36:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.5557e-01 l1_pixel_opt: 8.5228e-02 fft_latent_opt: 6.4788e-01 +2025-10-29 22:06:30,192 INFO: [27..][epoch: 1, step: 42,400, lr:(1.500e-04,)] [eta: 16:35:07, time (data): 0.694 (0.000)] l1_latent_opt: 8.5355e-01 l1_pixel_opt: 7.7845e-02 fft_latent_opt: 6.4330e-01 +2025-10-29 22:07:39,537 INFO: [27..][epoch: 1, step: 42,500, lr:(1.500e-04,)] [eta: 16:33:49, time (data): 0.694 (0.000)] l1_latent_opt: 8.5664e-01 l1_pixel_opt: 7.3352e-02 fft_latent_opt: 6.4407e-01 +2025-10-29 22:08:48,907 INFO: [27..][epoch: 1, step: 42,600, lr:(1.500e-04,)] [eta: 16:32:31, time (data): 0.694 (0.000)] l1_latent_opt: 8.5316e-01 l1_pixel_opt: 8.1388e-02 fft_latent_opt: 6.4748e-01 +2025-10-29 22:09:59,103 INFO: [27..][epoch: 1, step: 42,700, lr:(1.500e-04,)] [eta: 16:31:15, time (data): 0.700 (0.000)] l1_latent_opt: 8.4822e-01 l1_pixel_opt: 8.0013e-02 fft_latent_opt: 6.4561e-01 +2025-10-29 22:11:08,836 INFO: [27..][epoch: 1, step: 42,800, lr:(1.500e-04,)] [eta: 16:29:58, time (data): 0.699 (0.000)] l1_latent_opt: 8.5070e-01 l1_pixel_opt: 7.8991e-02 fft_latent_opt: 6.4199e-01 +2025-10-29 22:12:18,486 INFO: [27..][epoch: 1, step: 42,900, lr:(1.500e-04,)] [eta: 16:28:40, time (data): 0.697 (0.000)] l1_latent_opt: 8.5195e-01 l1_pixel_opt: 8.3680e-02 fft_latent_opt: 6.5104e-01 +2025-10-29 22:13:27,979 INFO: [27..][epoch: 1, step: 43,000, lr:(1.500e-04,)] [eta: 16:27:23, time (data): 0.696 (0.000)] l1_latent_opt: 8.5477e-01 l1_pixel_opt: 8.0704e-02 fft_latent_opt: 6.5468e-01 +2025-10-29 22:14:37,304 INFO: [27..][epoch: 1, step: 43,100, lr:(1.500e-04,)] [eta: 16:26:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.5151e-01 l1_pixel_opt: 8.3756e-02 fft_latent_opt: 6.5364e-01 +2025-10-29 22:15:46,616 INFO: [27..][epoch: 1, step: 43,200, lr:(1.500e-04,)] [eta: 16:24:47, time (data): 0.693 (0.000)] l1_latent_opt: 8.5412e-01 l1_pixel_opt: 7.4784e-02 fft_latent_opt: 6.5166e-01 +2025-10-29 22:16:56,712 INFO: [27..][epoch: 1, step: 43,300, lr:(1.500e-04,)] [eta: 16:23:31, time (data): 0.702 (0.000)] l1_latent_opt: 8.5911e-01 l1_pixel_opt: 8.6299e-02 fft_latent_opt: 6.5651e-01 +2025-10-29 22:18:07,310 INFO: [27..][epoch: 1, step: 43,400, lr:(1.500e-04,)] [eta: 16:22:16, time (data): 0.704 (0.000)] l1_latent_opt: 8.4797e-01 l1_pixel_opt: 7.7010e-02 fft_latent_opt: 6.4426e-01 +2025-10-29 22:19:16,575 INFO: [27..][epoch: 1, step: 43,500, lr:(1.500e-04,)] [eta: 16:20:58, time (data): 0.693 (0.000)] l1_latent_opt: 8.4669e-01 l1_pixel_opt: 7.7194e-02 fft_latent_opt: 6.4448e-01 +2025-10-29 22:20:25,911 INFO: [27..][epoch: 1, step: 43,600, lr:(1.500e-04,)] [eta: 16:19:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.4558e-01 l1_pixel_opt: 8.8846e-02 fft_latent_opt: 6.4508e-01 +2025-10-29 22:21:35,646 INFO: [27..][epoch: 1, step: 43,700, lr:(1.500e-04,)] [eta: 16:18:23, time (data): 0.698 (0.000)] l1_latent_opt: 8.5214e-01 l1_pixel_opt: 8.5084e-02 fft_latent_opt: 6.4486e-01 +2025-10-29 22:22:45,163 INFO: [27..][epoch: 1, step: 43,800, lr:(1.500e-04,)] [eta: 16:17:06, time (data): 0.697 (0.000)] l1_latent_opt: 8.5146e-01 l1_pixel_opt: 8.3519e-02 fft_latent_opt: 6.4731e-01 +2025-10-29 22:23:54,464 INFO: [27..][epoch: 1, step: 43,900, lr:(1.500e-04,)] [eta: 16:15:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.4801e-01 l1_pixel_opt: 8.4223e-02 fft_latent_opt: 6.5428e-01 +2025-10-29 22:25:03,814 INFO: [27..][epoch: 1, step: 44,000, lr:(1.500e-04,)] [eta: 16:14:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.5015e-01 l1_pixel_opt: 8.1701e-02 fft_latent_opt: 6.4181e-01 +2025-10-29 22:26:13,395 INFO: [27..][epoch: 1, step: 44,100, lr:(1.500e-04,)] [eta: 16:13:14, time (data): 0.696 (0.000)] l1_latent_opt: 8.4415e-01 l1_pixel_opt: 7.5831e-02 fft_latent_opt: 6.4954e-01 +2025-10-29 22:27:22,774 INFO: [27..][epoch: 1, step: 44,200, lr:(1.500e-04,)] [eta: 16:11:57, time (data): 0.695 (0.000)] l1_latent_opt: 8.6014e-01 l1_pixel_opt: 9.2430e-02 fft_latent_opt: 6.4257e-01 +2025-10-29 22:28:32,098 INFO: [27..][epoch: 1, step: 44,300, lr:(1.500e-04,)] [eta: 16:10:40, time (data): 0.694 (0.000)] l1_latent_opt: 8.5271e-01 l1_pixel_opt: 7.3678e-02 fft_latent_opt: 6.5446e-01 +2025-10-29 22:29:41,418 INFO: [27..][epoch: 1, step: 44,400, lr:(1.500e-04,)] [eta: 16:09:22, time (data): 0.694 (0.000)] l1_latent_opt: 8.5603e-01 l1_pixel_opt: 8.8040e-02 fft_latent_opt: 6.4907e-01 +2025-10-29 22:30:50,735 INFO: [27..][epoch: 1, step: 44,500, lr:(1.500e-04,)] [eta: 16:08:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.4708e-01 l1_pixel_opt: 7.9849e-02 fft_latent_opt: 6.4482e-01 +2025-10-29 22:32:00,066 INFO: [27..][epoch: 1, step: 44,600, lr:(1.500e-04,)] [eta: 16:06:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.6379e-01 l1_pixel_opt: 9.8019e-02 fft_latent_opt: 6.4209e-01 +2025-10-29 22:33:09,380 INFO: [27..][epoch: 1, step: 44,700, lr:(1.500e-04,)] [eta: 16:05:30, time (data): 0.693 (0.000)] l1_latent_opt: 8.5516e-01 l1_pixel_opt: 8.3498e-02 fft_latent_opt: 6.5433e-01 +2025-10-29 22:34:18,733 INFO: [27..][epoch: 1, step: 44,800, lr:(1.500e-04,)] [eta: 16:04:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.6205e-01 l1_pixel_opt: 8.8893e-02 fft_latent_opt: 6.5417e-01 +2025-10-29 22:35:28,043 INFO: [27..][epoch: 1, step: 44,900, lr:(1.500e-04,)] [eta: 16:02:56, time (data): 0.693 (0.000)] l1_latent_opt: 8.4828e-01 l1_pixel_opt: 7.7047e-02 fft_latent_opt: 6.5119e-01 +2025-10-29 22:36:37,350 INFO: [27..][epoch: 1, step: 45,000, lr:(1.500e-04,)] [eta: 16:01:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.4776e-01 l1_pixel_opt: 8.4992e-02 fft_latent_opt: 6.5330e-01 +2025-10-29 22:36:37,351 INFO: Saving models and training states. +2025-10-29 22:38:57,941 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8945 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2848 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.0829 Best: 27.0829 @ 45000 iter + +2025-10-29 22:40:07,415 INFO: [27..][epoch: 1, step: 45,100, lr:(1.500e-04,)] [eta: 16:04:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.4851e-01 l1_pixel_opt: 8.3612e-02 fft_latent_opt: 6.4513e-01 +2025-10-29 22:41:16,702 INFO: [27..][epoch: 1, step: 45,200, lr:(1.500e-04,)] [eta: 16:03:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.4964e-01 l1_pixel_opt: 8.0058e-02 fft_latent_opt: 6.4628e-01 +2025-10-29 22:42:26,160 INFO: [27..][epoch: 1, step: 45,300, lr:(1.500e-04,)] [eta: 16:01:56, time (data): 0.695 (0.000)] l1_latent_opt: 8.5381e-01 l1_pixel_opt: 8.0216e-02 fft_latent_opt: 6.4951e-01 +2025-10-29 22:43:35,478 INFO: [27..][epoch: 1, step: 45,400, lr:(1.500e-04,)] [eta: 16:00:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.4986e-01 l1_pixel_opt: 8.3692e-02 fft_latent_opt: 6.5171e-01 +2025-10-29 22:44:45,404 INFO: [27..][epoch: 1, step: 45,500, lr:(1.500e-04,)] [eta: 15:59:21, time (data): 0.701 (0.000)] l1_latent_opt: 8.4755e-01 l1_pixel_opt: 7.9782e-02 fft_latent_opt: 6.5495e-01 +2025-10-29 22:45:54,719 INFO: [27..][epoch: 1, step: 45,600, lr:(1.500e-04,)] [eta: 15:58:03, time (data): 0.697 (0.000)] l1_latent_opt: 8.5728e-01 l1_pixel_opt: 8.7700e-02 fft_latent_opt: 6.5937e-01 +2025-10-29 22:47:04,077 INFO: [27..][epoch: 1, step: 45,700, lr:(1.500e-04,)] [eta: 15:56:46, time (data): 0.694 (0.000)] l1_latent_opt: 8.4733e-01 l1_pixel_opt: 8.3312e-02 fft_latent_opt: 6.4778e-01 +2025-10-29 22:48:13,109 INFO: [27..][epoch: 1, step: 45,800, lr:(1.500e-04,)] [eta: 15:55:27, time (data): 0.692 (0.000)] l1_latent_opt: 8.5040e-01 l1_pixel_opt: 7.4235e-02 fft_latent_opt: 6.4758e-01 +2025-10-29 22:49:22,243 INFO: [27..][epoch: 1, step: 45,900, lr:(1.500e-04,)] [eta: 15:54:09, time (data): 0.692 (0.000)] l1_latent_opt: 8.5710e-01 l1_pixel_opt: 8.3425e-02 fft_latent_opt: 6.3901e-01 +2025-10-29 22:50:31,573 INFO: [27..][epoch: 1, step: 46,000, lr:(1.500e-04,)] [eta: 15:52:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.4395e-01 l1_pixel_opt: 7.8923e-02 fft_latent_opt: 6.4620e-01 +2025-10-29 22:51:41,217 INFO: [27..][epoch: 1, step: 46,100, lr:(1.500e-04,)] [eta: 15:51:35, time (data): 0.698 (0.000)] l1_latent_opt: 8.4705e-01 l1_pixel_opt: 8.1174e-02 fft_latent_opt: 6.4218e-01 +2025-10-29 22:52:50,629 INFO: [27..][epoch: 1, step: 46,200, lr:(1.500e-04,)] [eta: 15:50:17, time (data): 0.696 (0.000)] l1_latent_opt: 8.5458e-01 l1_pixel_opt: 8.6878e-02 fft_latent_opt: 6.5269e-01 +2025-10-29 22:53:59,969 INFO: [27..][epoch: 1, step: 46,300, lr:(1.500e-04,)] [eta: 15:49:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.5825e-01 l1_pixel_opt: 9.1526e-02 fft_latent_opt: 6.4899e-01 +2025-10-29 22:55:09,325 INFO: [27..][epoch: 1, step: 46,400, lr:(1.500e-04,)] [eta: 15:47:42, time (data): 0.693 (0.000)] l1_latent_opt: 8.6191e-01 l1_pixel_opt: 8.7754e-02 fft_latent_opt: 6.5412e-01 +2025-10-29 22:56:19,306 INFO: [27..][epoch: 1, step: 46,500, lr:(1.500e-04,)] [eta: 15:46:26, time (data): 0.699 (0.000)] l1_latent_opt: 8.4388e-01 l1_pixel_opt: 7.5448e-02 fft_latent_opt: 6.4598e-01 +2025-10-29 22:57:28,645 INFO: [27..][epoch: 1, step: 46,600, lr:(1.500e-04,)] [eta: 15:45:09, time (data): 0.696 (0.000)] l1_latent_opt: 8.4975e-01 l1_pixel_opt: 8.4563e-02 fft_latent_opt: 6.4329e-01 +2025-10-29 22:58:37,986 INFO: [27..][epoch: 1, step: 46,700, lr:(1.500e-04,)] [eta: 15:43:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.5710e-01 l1_pixel_opt: 8.9084e-02 fft_latent_opt: 6.5533e-01 +2025-10-29 22:59:47,548 INFO: [27..][epoch: 1, step: 46,800, lr:(1.500e-04,)] [eta: 15:42:34, time (data): 0.695 (0.000)] l1_latent_opt: 8.4809e-01 l1_pixel_opt: 8.4733e-02 fft_latent_opt: 6.4663e-01 +2025-10-29 23:00:56,975 INFO: [27..][epoch: 1, step: 46,900, lr:(1.500e-04,)] [eta: 15:41:17, time (data): 0.694 (0.000)] l1_latent_opt: 8.5008e-01 l1_pixel_opt: 8.8569e-02 fft_latent_opt: 6.4451e-01 +2025-10-29 23:02:06,289 INFO: [27..][epoch: 1, step: 47,000, lr:(1.500e-04,)] [eta: 15:40:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.5158e-01 l1_pixel_opt: 7.2968e-02 fft_latent_opt: 6.4035e-01 +2025-10-29 23:03:15,751 INFO: [27..][epoch: 1, step: 47,100, lr:(1.500e-04,)] [eta: 15:38:43, time (data): 0.695 (0.000)] l1_latent_opt: 8.4553e-01 l1_pixel_opt: 8.1114e-02 fft_latent_opt: 6.4076e-01 +2025-10-29 23:04:25,234 INFO: [27..][epoch: 1, step: 47,200, lr:(1.500e-04,)] [eta: 15:37:26, time (data): 0.695 (0.000)] l1_latent_opt: 8.5204e-01 l1_pixel_opt: 8.9599e-02 fft_latent_opt: 6.4272e-01 +2025-10-29 23:05:34,572 INFO: [27..][epoch: 1, step: 47,300, lr:(1.500e-04,)] [eta: 15:36:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.4599e-01 l1_pixel_opt: 7.6578e-02 fft_latent_opt: 6.3853e-01 +2025-10-29 23:06:50,201 INFO: [27..][epoch: 1, step: 47,400, lr:(1.500e-04,)] [eta: 15:35:02, time (data): 0.731 (0.000)] l1_latent_opt: 8.4610e-01 l1_pixel_opt: 7.7694e-02 fft_latent_opt: 6.4267e-01 +2025-10-29 23:07:59,466 INFO: [27..][epoch: 1, step: 47,500, lr:(1.500e-04,)] [eta: 15:33:45, time (data): 0.693 (0.000)] l1_latent_opt: 8.4863e-01 l1_pixel_opt: 7.9955e-02 fft_latent_opt: 6.4601e-01 +2025-10-29 23:09:08,790 INFO: [27..][epoch: 1, step: 47,600, lr:(1.500e-04,)] [eta: 15:32:28, time (data): 0.693 (0.000)] l1_latent_opt: 8.4996e-01 l1_pixel_opt: 8.9395e-02 fft_latent_opt: 6.4955e-01 +2025-10-29 23:10:18,073 INFO: [27..][epoch: 1, step: 47,700, lr:(1.500e-04,)] [eta: 15:31:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.4677e-01 l1_pixel_opt: 8.0208e-02 fft_latent_opt: 6.5151e-01 +2025-10-29 23:11:27,365 INFO: [27..][epoch: 1, step: 47,800, lr:(1.500e-04,)] [eta: 15:29:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.4801e-01 l1_pixel_opt: 7.9608e-02 fft_latent_opt: 6.4338e-01 +2025-10-29 23:12:36,812 INFO: [27..][epoch: 1, step: 47,900, lr:(1.500e-04,)] [eta: 15:28:36, time (data): 0.694 (0.000)] l1_latent_opt: 8.5143e-01 l1_pixel_opt: 8.2571e-02 fft_latent_opt: 6.4448e-01 +2025-10-29 23:13:46,114 INFO: [27..][epoch: 1, step: 48,000, lr:(1.500e-04,)] [eta: 15:27:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.5327e-01 l1_pixel_opt: 7.8961e-02 fft_latent_opt: 6.4958e-01 +2025-10-29 23:15:02,430 INFO: [27..][epoch: 1, step: 48,100, lr:(1.500e-04,)] [eta: 15:26:14, time (data): 0.702 (0.000)] l1_latent_opt: 8.4984e-01 l1_pixel_opt: 8.0348e-02 fft_latent_opt: 6.3920e-01 +2025-10-29 23:16:11,780 INFO: [27..][epoch: 1, step: 48,200, lr:(1.500e-04,)] [eta: 15:24:57, time (data): 0.697 (0.000)] l1_latent_opt: 8.4438e-01 l1_pixel_opt: 7.9726e-02 fft_latent_opt: 6.4910e-01 +2025-10-29 23:17:21,054 INFO: [27..][epoch: 1, step: 48,300, lr:(1.500e-04,)] [eta: 15:23:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.5518e-01 l1_pixel_opt: 8.6063e-02 fft_latent_opt: 6.4427e-01 +2025-10-29 23:18:37,250 INFO: [27..][epoch: 1, step: 48,400, lr:(1.500e-04,)] [eta: 15:22:34, time (data): 0.736 (0.000)] l1_latent_opt: 8.4989e-01 l1_pixel_opt: 8.1517e-02 fft_latent_opt: 6.5017e-01 +2025-10-29 23:19:46,574 INFO: [27..][epoch: 1, step: 48,500, lr:(1.500e-04,)] [eta: 15:21:17, time (data): 0.693 (0.000)] l1_latent_opt: 8.4606e-01 l1_pixel_opt: 7.5348e-02 fft_latent_opt: 6.4827e-01 +2025-10-29 23:20:56,370 INFO: [27..][epoch: 1, step: 48,600, lr:(1.500e-04,)] [eta: 15:20:01, time (data): 0.696 (0.000)] l1_latent_opt: 8.4646e-01 l1_pixel_opt: 7.7407e-02 fft_latent_opt: 6.3870e-01 +2025-10-29 23:22:05,652 INFO: [27..][epoch: 1, step: 48,700, lr:(1.500e-04,)] [eta: 15:18:44, time (data): 0.693 (0.000)] l1_latent_opt: 8.5612e-01 l1_pixel_opt: 7.9048e-02 fft_latent_opt: 6.4664e-01 +2025-10-29 23:23:14,978 INFO: [27..][epoch: 1, step: 48,800, lr:(1.500e-04,)] [eta: 15:17:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.5106e-01 l1_pixel_opt: 8.7911e-02 fft_latent_opt: 6.4947e-01 +2025-10-29 23:24:24,310 INFO: [27..][epoch: 1, step: 48,900, lr:(1.500e-04,)] [eta: 15:16:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.5875e-01 l1_pixel_opt: 8.8013e-02 fft_latent_opt: 6.5359e-01 +2025-10-29 23:25:33,644 INFO: [27..][epoch: 1, step: 49,000, lr:(1.500e-04,)] [eta: 15:14:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.6166e-01 l1_pixel_opt: 9.1102e-02 fft_latent_opt: 6.4589e-01 +2025-10-29 23:26:43,011 INFO: [27..][epoch: 1, step: 49,100, lr:(1.500e-04,)] [eta: 15:13:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.4884e-01 l1_pixel_opt: 8.1045e-02 fft_latent_opt: 6.4856e-01 +2025-10-29 23:27:52,736 INFO: [27..][epoch: 1, step: 49,200, lr:(1.500e-04,)] [eta: 15:12:21, time (data): 0.696 (0.000)] l1_latent_opt: 8.5322e-01 l1_pixel_opt: 8.1070e-02 fft_latent_opt: 6.4567e-01 +2025-10-29 23:29:02,053 INFO: [27..][epoch: 1, step: 49,300, lr:(1.500e-04,)] [eta: 15:11:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.4937e-01 l1_pixel_opt: 8.2084e-02 fft_latent_opt: 6.5179e-01 +2025-10-29 23:30:11,418 INFO: [27..][epoch: 1, step: 49,400, lr:(1.500e-04,)] [eta: 15:09:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.4524e-01 l1_pixel_opt: 8.3346e-02 fft_latent_opt: 6.4456e-01 +2025-10-29 23:31:20,754 INFO: [27..][epoch: 1, step: 49,500, lr:(1.500e-04,)] [eta: 15:08:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.5063e-01 l1_pixel_opt: 8.1522e-02 fft_latent_opt: 6.5075e-01 +2025-10-29 23:32:29,890 INFO: [27..][epoch: 1, step: 49,600, lr:(1.500e-04,)] [eta: 15:07:14, time (data): 0.692 (0.000)] l1_latent_opt: 8.4624e-01 l1_pixel_opt: 8.3054e-02 fft_latent_opt: 6.4105e-01 +2025-10-29 23:33:38,898 INFO: [27..][epoch: 1, step: 49,700, lr:(1.500e-04,)] [eta: 15:05:57, time (data): 0.690 (0.000)] l1_latent_opt: 8.5417e-01 l1_pixel_opt: 8.6141e-02 fft_latent_opt: 6.4565e-01 +2025-10-29 23:34:48,257 INFO: [27..][epoch: 1, step: 49,800, lr:(1.500e-04,)] [eta: 15:04:41, time (data): 0.692 (0.000)] l1_latent_opt: 8.4039e-01 l1_pixel_opt: 7.8815e-02 fft_latent_opt: 6.4868e-01 +2025-10-29 23:35:57,901 INFO: [27..][epoch: 1, step: 49,900, lr:(1.500e-04,)] [eta: 15:03:25, time (data): 0.699 (0.000)] l1_latent_opt: 8.5241e-01 l1_pixel_opt: 7.5198e-02 fft_latent_opt: 6.4131e-01 +2025-10-29 23:37:07,254 INFO: [27..][epoch: 1, step: 50,000, lr:(1.500e-04,)] [eta: 15:02:08, time (data): 0.695 (0.000)] l1_latent_opt: 8.4647e-01 l1_pixel_opt: 8.5890e-02 fft_latent_opt: 6.4487e-01 +2025-10-29 23:37:07,255 INFO: Saving models and training states. +2025-10-29 23:39:27,381 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8951 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2863 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.0950 Best: 27.0950 @ 50000 iter + +2025-10-29 23:40:36,909 INFO: [27..][epoch: 1, step: 50,100, lr:(1.500e-04,)] [eta: 15:04:22, time (data): 0.695 (0.000)] l1_latent_opt: 8.3841e-01 l1_pixel_opt: 7.3530e-02 fft_latent_opt: 6.4721e-01 +2025-10-29 23:41:46,310 INFO: [27..][epoch: 1, step: 50,200, lr:(1.500e-04,)] [eta: 15:03:05, time (data): 0.694 (0.000)] l1_latent_opt: 8.5968e-01 l1_pixel_opt: 8.4514e-02 fft_latent_opt: 6.5310e-01 +2025-10-29 23:42:55,846 INFO: [27..][epoch: 1, step: 50,300, lr:(1.500e-04,)] [eta: 15:01:48, time (data): 0.695 (0.000)] l1_latent_opt: 8.4874e-01 l1_pixel_opt: 8.2793e-02 fft_latent_opt: 6.3979e-01 +2025-10-29 23:44:05,620 INFO: [27..][epoch: 1, step: 50,400, lr:(1.500e-04,)] [eta: 15:00:31, time (data): 0.697 (0.000)] l1_latent_opt: 8.5032e-01 l1_pixel_opt: 7.9638e-02 fft_latent_opt: 6.4918e-01 +2025-10-29 23:45:15,306 INFO: [27..][epoch: 1, step: 50,500, lr:(1.500e-04,)] [eta: 14:59:15, time (data): 0.694 (0.000)] l1_latent_opt: 8.5483e-01 l1_pixel_opt: 8.8821e-02 fft_latent_opt: 6.6078e-01 +2025-10-29 23:46:24,657 INFO: [27..][epoch: 1, step: 50,600, lr:(1.500e-04,)] [eta: 14:57:58, time (data): 0.694 (0.000)] l1_latent_opt: 8.3885e-01 l1_pixel_opt: 7.8762e-02 fft_latent_opt: 6.4457e-01 +2025-10-29 23:47:33,902 INFO: [27..][epoch: 1, step: 50,700, lr:(1.500e-04,)] [eta: 14:56:41, time (data): 0.692 (0.000)] l1_latent_opt: 8.4625e-01 l1_pixel_opt: 7.9168e-02 fft_latent_opt: 6.4927e-01 +2025-10-29 23:48:43,181 INFO: [27..][epoch: 1, step: 50,800, lr:(1.500e-04,)] [eta: 14:55:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5354e-01 l1_pixel_opt: 9.0688e-02 fft_latent_opt: 6.4093e-01 +2025-10-29 23:49:52,415 INFO: [27..][epoch: 1, step: 50,900, lr:(1.500e-04,)] [eta: 14:54:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.5462e-01 l1_pixel_opt: 7.6850e-02 fft_latent_opt: 6.4257e-01 +2025-10-29 23:51:01,645 INFO: [27..][epoch: 1, step: 51,000, lr:(1.500e-04,)] [eta: 14:52:50, time (data): 0.692 (0.000)] l1_latent_opt: 8.6049e-01 l1_pixel_opt: 8.5796e-02 fft_latent_opt: 6.5992e-01 +2025-10-29 23:52:11,412 INFO: [27..][epoch: 1, step: 51,100, lr:(1.500e-04,)] [eta: 14:51:34, time (data): 0.702 (0.000)] l1_latent_opt: 8.5033e-01 l1_pixel_opt: 8.8794e-02 fft_latent_opt: 6.4905e-01 +2025-10-29 23:53:20,627 INFO: [27..][epoch: 1, step: 51,200, lr:(1.500e-04,)] [eta: 14:50:17, time (data): 0.695 (0.000)] l1_latent_opt: 8.4718e-01 l1_pixel_opt: 7.6118e-02 fft_latent_opt: 6.5248e-01 +2025-10-29 23:54:29,956 INFO: [27..][epoch: 1, step: 51,300, lr:(1.500e-04,)] [eta: 14:49:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.4943e-01 l1_pixel_opt: 7.6893e-02 fft_latent_opt: 6.4297e-01 +2025-10-29 23:55:39,466 INFO: [27..][epoch: 1, step: 51,400, lr:(1.500e-04,)] [eta: 14:47:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.4246e-01 l1_pixel_opt: 8.1823e-02 fft_latent_opt: 6.4546e-01 +2025-10-29 23:56:49,463 INFO: [27..][epoch: 1, step: 51,500, lr:(1.500e-04,)] [eta: 14:46:28, time (data): 0.700 (0.000)] l1_latent_opt: 8.5211e-01 l1_pixel_opt: 8.3309e-02 fft_latent_opt: 6.4609e-01 +2025-10-29 23:57:59,386 INFO: [27..][epoch: 1, step: 51,600, lr:(1.500e-04,)] [eta: 14:45:12, time (data): 0.700 (0.000)] l1_latent_opt: 8.6036e-01 l1_pixel_opt: 9.3575e-02 fft_latent_opt: 6.4919e-01 +2025-10-29 23:59:09,509 INFO: [27..][epoch: 1, step: 51,700, lr:(1.500e-04,)] [eta: 14:43:56, time (data): 0.708 (0.000)] l1_latent_opt: 8.6004e-01 l1_pixel_opt: 8.7800e-02 fft_latent_opt: 6.5640e-01 +2025-10-30 00:00:18,782 INFO: [27..][epoch: 1, step: 51,800, lr:(1.500e-04,)] [eta: 14:42:40, time (data): 0.697 (0.000)] l1_latent_opt: 8.5076e-01 l1_pixel_opt: 8.7262e-02 fft_latent_opt: 6.4957e-01 +2025-10-30 00:01:28,812 INFO: [27..][epoch: 1, step: 51,900, lr:(1.500e-04,)] [eta: 14:41:24, time (data): 0.702 (0.000)] l1_latent_opt: 8.5785e-01 l1_pixel_opt: 8.3545e-02 fft_latent_opt: 6.4797e-01 +2025-10-30 00:02:38,252 INFO: [27..][epoch: 1, step: 52,000, lr:(1.500e-04,)] [eta: 14:40:08, time (data): 0.697 (0.000)] l1_latent_opt: 8.4921e-01 l1_pixel_opt: 8.1223e-02 fft_latent_opt: 6.5615e-01 +2025-10-30 00:03:47,808 INFO: [27..][epoch: 1, step: 52,100, lr:(1.500e-04,)] [eta: 14:38:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.4901e-01 l1_pixel_opt: 8.2853e-02 fft_latent_opt: 6.5069e-01 +2025-10-30 00:04:57,473 INFO: [27..][epoch: 1, step: 52,200, lr:(1.500e-04,)] [eta: 14:37:35, time (data): 0.695 (0.000)] l1_latent_opt: 8.6013e-01 l1_pixel_opt: 8.5434e-02 fft_latent_opt: 6.4739e-01 +2025-10-30 00:06:06,820 INFO: [27..][epoch: 1, step: 52,300, lr:(1.500e-04,)] [eta: 14:36:19, time (data): 0.694 (0.000)] l1_latent_opt: 8.4711e-01 l1_pixel_opt: 7.5040e-02 fft_latent_opt: 6.4261e-01 +2025-10-30 00:07:16,380 INFO: [27..][epoch: 1, step: 52,400, lr:(1.500e-04,)] [eta: 14:35:03, time (data): 0.695 (0.000)] l1_latent_opt: 8.5118e-01 l1_pixel_opt: 7.8207e-02 fft_latent_opt: 6.4110e-01 +2025-10-30 00:08:27,100 INFO: [27..][epoch: 1, step: 52,500, lr:(1.500e-04,)] [eta: 14:33:48, time (data): 0.720 (0.000)] l1_latent_opt: 8.4679e-01 l1_pixel_opt: 7.8729e-02 fft_latent_opt: 6.5392e-01 +2025-10-30 00:09:37,646 INFO: [27..][epoch: 1, step: 52,600, lr:(1.500e-04,)] [eta: 14:32:33, time (data): 0.710 (0.000)] l1_latent_opt: 8.5358e-01 l1_pixel_opt: 8.1095e-02 fft_latent_opt: 6.4429e-01 +2025-10-30 00:10:46,897 INFO: [27..][epoch: 1, step: 52,700, lr:(1.500e-04,)] [eta: 14:31:17, time (data): 0.692 (0.000)] l1_latent_opt: 8.4722e-01 l1_pixel_opt: 7.9373e-02 fft_latent_opt: 6.4445e-01 +2025-10-30 00:11:56,130 INFO: [27..][epoch: 1, step: 52,800, lr:(1.500e-04,)] [eta: 14:30:00, time (data): 0.692 (0.000)] l1_latent_opt: 8.4552e-01 l1_pixel_opt: 7.8832e-02 fft_latent_opt: 6.3408e-01 +2025-10-30 00:13:05,465 INFO: [27..][epoch: 1, step: 52,900, lr:(1.500e-04,)] [eta: 14:28:44, time (data): 0.694 (0.000)] l1_latent_opt: 8.4320e-01 l1_pixel_opt: 8.1492e-02 fft_latent_opt: 6.4665e-01 +2025-10-30 00:14:14,771 INFO: [27..][epoch: 1, step: 53,000, lr:(1.500e-04,)] [eta: 14:27:28, time (data): 0.693 (0.000)] l1_latent_opt: 8.4405e-01 l1_pixel_opt: 7.8799e-02 fft_latent_opt: 6.4239e-01 +2025-10-30 00:15:24,000 INFO: [27..][epoch: 1, step: 53,100, lr:(1.500e-04,)] [eta: 14:26:11, time (data): 0.692 (0.000)] l1_latent_opt: 8.6444e-01 l1_pixel_opt: 9.5538e-02 fft_latent_opt: 6.5559e-01 +2025-10-30 00:16:33,260 INFO: [27..][epoch: 1, step: 53,200, lr:(1.500e-04,)] [eta: 14:24:55, time (data): 0.692 (0.000)] l1_latent_opt: 8.5445e-01 l1_pixel_opt: 8.5201e-02 fft_latent_opt: 6.5001e-01 +2025-10-30 00:17:42,467 INFO: [27..][epoch: 1, step: 53,300, lr:(1.500e-04,)] [eta: 14:23:38, time (data): 0.691 (0.000)] l1_latent_opt: 8.5472e-01 l1_pixel_opt: 8.6805e-02 fft_latent_opt: 6.5409e-01 +2025-10-30 00:18:51,516 INFO: [27..][epoch: 1, step: 53,400, lr:(1.500e-04,)] [eta: 14:22:22, time (data): 0.691 (0.000)] l1_latent_opt: 8.3886e-01 l1_pixel_opt: 7.2079e-02 fft_latent_opt: 6.4581e-01 +2025-10-30 00:20:00,716 INFO: [27..][epoch: 1, step: 53,500, lr:(1.500e-04,)] [eta: 14:21:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.6245e-01 l1_pixel_opt: 9.4380e-02 fft_latent_opt: 6.5359e-01 +2025-10-30 00:21:10,091 INFO: [27..][epoch: 1, step: 53,600, lr:(1.500e-04,)] [eta: 14:19:49, time (data): 0.694 (0.000)] l1_latent_opt: 8.5581e-01 l1_pixel_opt: 8.9730e-02 fft_latent_opt: 6.5006e-01 +2025-10-30 00:22:19,516 INFO: [27..][epoch: 1, step: 53,700, lr:(1.500e-04,)] [eta: 14:18:33, time (data): 0.692 (0.000)] l1_latent_opt: 8.5632e-01 l1_pixel_opt: 9.0568e-02 fft_latent_opt: 6.5553e-01 +2025-10-30 00:23:28,723 INFO: [27..][epoch: 1, step: 53,800, lr:(1.500e-04,)] [eta: 14:17:17, time (data): 0.692 (0.000)] l1_latent_opt: 8.6460e-01 l1_pixel_opt: 8.2586e-02 fft_latent_opt: 6.4617e-01 +2025-10-30 00:24:38,027 INFO: [27..][epoch: 1, step: 53,900, lr:(1.500e-04,)] [eta: 14:16:01, time (data): 0.692 (0.000)] l1_latent_opt: 8.4357e-01 l1_pixel_opt: 7.6169e-02 fft_latent_opt: 6.4341e-01 +2025-10-30 00:25:47,476 INFO: [27..][epoch: 1, step: 54,000, lr:(1.500e-04,)] [eta: 14:14:45, time (data): 0.694 (0.000)] l1_latent_opt: 8.4581e-01 l1_pixel_opt: 8.1287e-02 fft_latent_opt: 6.5202e-01 +2025-10-30 00:26:56,775 INFO: [27..][epoch: 1, step: 54,100, lr:(1.500e-04,)] [eta: 14:13:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.6809e-01 l1_pixel_opt: 9.0229e-02 fft_latent_opt: 6.6312e-01 +2025-10-30 00:28:06,110 INFO: [27..][epoch: 1, step: 54,200, lr:(1.500e-04,)] [eta: 14:12:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.5409e-01 l1_pixel_opt: 9.1865e-02 fft_latent_opt: 6.4668e-01 +2025-10-30 00:29:15,385 INFO: [27..][epoch: 1, step: 54,300, lr:(1.500e-04,)] [eta: 14:10:57, time (data): 0.693 (0.000)] l1_latent_opt: 8.4625e-01 l1_pixel_opt: 7.8963e-02 fft_latent_opt: 6.4924e-01 +2025-10-30 00:30:24,888 INFO: [27..][epoch: 1, step: 54,400, lr:(1.500e-04,)] [eta: 14:09:41, time (data): 0.695 (0.000)] l1_latent_opt: 8.5179e-01 l1_pixel_opt: 7.7430e-02 fft_latent_opt: 6.5729e-01 +2025-10-30 00:31:34,167 INFO: [27..][epoch: 1, step: 54,500, lr:(1.500e-04,)] [eta: 14:08:25, time (data): 0.692 (0.000)] l1_latent_opt: 8.5384e-01 l1_pixel_opt: 8.2995e-02 fft_latent_opt: 6.4562e-01 +2025-10-30 00:32:43,390 INFO: [27..][epoch: 1, step: 54,600, lr:(1.500e-04,)] [eta: 14:07:09, time (data): 0.692 (0.000)] l1_latent_opt: 8.5586e-01 l1_pixel_opt: 8.8324e-02 fft_latent_opt: 6.4463e-01 +2025-10-30 00:33:52,745 INFO: [27..][epoch: 1, step: 54,700, lr:(1.500e-04,)] [eta: 14:05:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.6112e-01 l1_pixel_opt: 8.5001e-02 fft_latent_opt: 6.5085e-01 +2025-10-30 00:35:01,966 INFO: [27..][epoch: 1, step: 54,800, lr:(1.500e-04,)] [eta: 14:04:37, time (data): 0.692 (0.000)] l1_latent_opt: 8.5573e-01 l1_pixel_opt: 8.7364e-02 fft_latent_opt: 6.5104e-01 +2025-10-30 00:36:11,227 INFO: [27..][epoch: 1, step: 54,900, lr:(1.500e-04,)] [eta: 14:03:21, time (data): 0.693 (0.000)] l1_latent_opt: 8.4981e-01 l1_pixel_opt: 8.5159e-02 fft_latent_opt: 6.4503e-01 +2025-10-30 00:37:20,497 INFO: [27..][epoch: 1, step: 55,000, lr:(1.500e-04,)] [eta: 14:02:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.6580e-01 l1_pixel_opt: 9.0118e-02 fft_latent_opt: 6.5327e-01 +2025-10-30 00:37:20,498 INFO: Saving models and training states. +2025-10-30 00:39:37,654 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8947 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2850 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1071 Best: 27.1071 @ 55000 iter + +2025-10-30 00:40:47,050 INFO: [27..][epoch: 1, step: 55,100, lr:(1.500e-04,)] [eta: 14:03:44, time (data): 0.692 (0.000)] l1_latent_opt: 8.5690e-01 l1_pixel_opt: 9.4924e-02 fft_latent_opt: 6.5244e-01 +2025-10-30 00:41:56,282 INFO: [27..][epoch: 1, step: 55,200, lr:(1.500e-04,)] [eta: 14:02:27, time (data): 0.692 (0.000)] l1_latent_opt: 8.5821e-01 l1_pixel_opt: 8.3187e-02 fft_latent_opt: 6.4779e-01 +2025-10-30 00:43:05,657 INFO: [27..][epoch: 1, step: 55,300, lr:(1.500e-04,)] [eta: 14:01:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.4892e-01 l1_pixel_opt: 8.4812e-02 fft_latent_opt: 6.4790e-01 +2025-10-30 00:44:14,954 INFO: [27..][epoch: 1, step: 55,400, lr:(1.500e-04,)] [eta: 13:59:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.3697e-01 l1_pixel_opt: 7.2171e-02 fft_latent_opt: 6.4189e-01 +2025-10-30 00:45:24,231 INFO: [27..][epoch: 1, step: 55,500, lr:(1.500e-04,)] [eta: 13:58:38, time (data): 0.693 (0.000)] l1_latent_opt: 8.4567e-01 l1_pixel_opt: 7.2976e-02 fft_latent_opt: 6.4574e-01 +2025-10-30 00:46:33,558 INFO: [27..][epoch: 1, step: 55,600, lr:(1.500e-04,)] [eta: 13:57:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.4845e-01 l1_pixel_opt: 7.6618e-02 fft_latent_opt: 6.4968e-01 +2025-10-30 00:47:42,894 INFO: [27..][epoch: 1, step: 55,700, lr:(1.500e-04,)] [eta: 13:56:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.6163e-01 l1_pixel_opt: 8.5821e-02 fft_latent_opt: 6.5380e-01 +2025-10-30 00:48:52,319 INFO: [27..][epoch: 1, step: 55,800, lr:(1.500e-04,)] [eta: 13:54:50, time (data): 0.694 (0.000)] l1_latent_opt: 8.5094e-01 l1_pixel_opt: 7.8649e-02 fft_latent_opt: 6.4324e-01 +2025-10-30 00:50:01,702 INFO: [27..][epoch: 1, step: 55,900, lr:(1.500e-04,)] [eta: 13:53:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.5451e-01 l1_pixel_opt: 8.2093e-02 fft_latent_opt: 6.3553e-01 +2025-10-30 00:51:11,028 INFO: [27..][epoch: 1, step: 56,000, lr:(1.500e-04,)] [eta: 13:52:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.4995e-01 l1_pixel_opt: 8.1405e-02 fft_latent_opt: 6.5194e-01 +2025-10-30 00:52:20,358 INFO: [27..][epoch: 1, step: 56,100, lr:(1.500e-04,)] [eta: 13:51:01, time (data): 0.694 (0.000)] l1_latent_opt: 8.5332e-01 l1_pixel_opt: 7.7388e-02 fft_latent_opt: 6.5068e-01 +2025-10-30 00:53:29,700 INFO: [27..][epoch: 1, step: 56,200, lr:(1.500e-04,)] [eta: 13:49:45, time (data): 0.694 (0.000)] l1_latent_opt: 8.6084e-01 l1_pixel_opt: 8.5956e-02 fft_latent_opt: 6.3932e-01 +2025-10-30 00:54:38,998 INFO: [27..][epoch: 1, step: 56,300, lr:(1.500e-04,)] [eta: 13:48:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.5046e-01 l1_pixel_opt: 8.3275e-02 fft_latent_opt: 6.4546e-01 +2025-10-30 00:55:48,258 INFO: [27..][epoch: 1, step: 56,400, lr:(1.500e-04,)] [eta: 13:47:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.4859e-01 l1_pixel_opt: 8.1245e-02 fft_latent_opt: 6.4964e-01 +2025-10-30 00:56:57,536 INFO: [27..][epoch: 1, step: 56,500, lr:(1.500e-04,)] [eta: 13:45:57, time (data): 0.693 (0.000)] l1_latent_opt: 8.4543e-01 l1_pixel_opt: 8.9082e-02 fft_latent_opt: 6.4439e-01 +2025-10-30 00:58:07,085 INFO: [27..][epoch: 1, step: 56,600, lr:(1.500e-04,)] [eta: 13:44:41, time (data): 0.695 (0.000)] l1_latent_opt: 8.5798e-01 l1_pixel_opt: 8.1207e-02 fft_latent_opt: 6.5254e-01 +2025-10-30 00:59:16,393 INFO: [27..][epoch: 1, step: 56,700, lr:(1.500e-04,)] [eta: 13:43:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.5542e-01 l1_pixel_opt: 9.2706e-02 fft_latent_opt: 6.4456e-01 +2025-10-30 01:00:25,678 INFO: [27..][epoch: 1, step: 56,800, lr:(1.500e-04,)] [eta: 13:42:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.5784e-01 l1_pixel_opt: 8.7199e-02 fft_latent_opt: 6.5339e-01 +2025-10-30 01:01:35,012 INFO: [27..][epoch: 1, step: 56,900, lr:(1.500e-04,)] [eta: 13:40:53, time (data): 0.692 (0.000)] l1_latent_opt: 8.5570e-01 l1_pixel_opt: 8.6928e-02 fft_latent_opt: 6.3747e-01 +2025-10-30 01:02:44,320 INFO: [27..][epoch: 1, step: 57,000, lr:(1.500e-04,)] [eta: 13:39:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.4554e-01 l1_pixel_opt: 7.7544e-02 fft_latent_opt: 6.4117e-01 +2025-10-30 01:03:53,679 INFO: [27..][epoch: 1, step: 57,100, lr:(1.500e-04,)] [eta: 13:38:22, time (data): 0.694 (0.000)] l1_latent_opt: 8.4543e-01 l1_pixel_opt: 7.6526e-02 fft_latent_opt: 6.4246e-01 +2025-10-30 01:05:02,927 INFO: [27..][epoch: 1, step: 57,200, lr:(1.500e-04,)] [eta: 13:37:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.4302e-01 l1_pixel_opt: 7.3082e-02 fft_latent_opt: 6.3820e-01 +2025-10-30 01:06:12,206 INFO: [27..][epoch: 1, step: 57,300, lr:(1.500e-04,)] [eta: 13:35:50, time (data): 0.693 (0.000)] l1_latent_opt: 8.4880e-01 l1_pixel_opt: 8.9585e-02 fft_latent_opt: 6.4936e-01 +2025-10-30 01:07:21,481 INFO: [27..][epoch: 1, step: 57,400, lr:(1.500e-04,)] [eta: 13:34:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.5260e-01 l1_pixel_opt: 8.2022e-02 fft_latent_opt: 6.4758e-01 +2025-10-30 01:08:30,776 INFO: [27..][epoch: 1, step: 57,500, lr:(1.500e-04,)] [eta: 13:33:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.4605e-01 l1_pixel_opt: 7.3509e-02 fft_latent_opt: 6.4635e-01 +2025-10-30 01:09:40,240 INFO: [27..][epoch: 1, step: 57,600, lr:(1.500e-04,)] [eta: 13:32:02, time (data): 0.694 (0.000)] l1_latent_opt: 8.6368e-01 l1_pixel_opt: 8.4332e-02 fft_latent_opt: 6.5290e-01 +2025-10-30 01:10:49,479 INFO: [27..][epoch: 1, step: 57,700, lr:(1.500e-04,)] [eta: 13:30:47, time (data): 0.693 (0.000)] l1_latent_opt: 8.4196e-01 l1_pixel_opt: 7.3029e-02 fft_latent_opt: 6.5052e-01 +2025-10-30 01:11:58,934 INFO: [27..][epoch: 1, step: 57,800, lr:(1.500e-04,)] [eta: 13:29:31, time (data): 0.694 (0.000)] l1_latent_opt: 8.4391e-01 l1_pixel_opt: 7.9816e-02 fft_latent_opt: 6.4614e-01 +2025-10-30 01:13:08,183 INFO: [27..][epoch: 1, step: 57,900, lr:(1.500e-04,)] [eta: 13:28:15, time (data): 0.692 (0.000)] l1_latent_opt: 8.5155e-01 l1_pixel_opt: 7.6922e-02 fft_latent_opt: 6.4824e-01 +2025-10-30 01:14:17,482 INFO: [27..][epoch: 1, step: 58,000, lr:(1.500e-04,)] [eta: 13:27:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.5494e-01 l1_pixel_opt: 8.8358e-02 fft_latent_opt: 6.5398e-01 +2025-10-30 01:15:26,788 INFO: [27..][epoch: 1, step: 58,100, lr:(1.500e-04,)] [eta: 13:25:44, time (data): 0.693 (0.000)] l1_latent_opt: 8.5533e-01 l1_pixel_opt: 8.3879e-02 fft_latent_opt: 6.5633e-01 +2025-10-30 01:16:36,054 INFO: [27..][epoch: 1, step: 58,200, lr:(1.500e-04,)] [eta: 13:24:28, time (data): 0.693 (0.000)] l1_latent_opt: 8.5789e-01 l1_pixel_opt: 8.7360e-02 fft_latent_opt: 6.5256e-01 +2025-10-30 01:17:45,552 INFO: [27..][epoch: 1, step: 58,300, lr:(1.500e-04,)] [eta: 13:23:13, time (data): 0.692 (0.000)] l1_latent_opt: 8.4571e-01 l1_pixel_opt: 8.2785e-02 fft_latent_opt: 6.4244e-01 +2025-10-30 01:18:55,317 INFO: [27..][epoch: 1, step: 58,400, lr:(1.500e-04,)] [eta: 13:21:58, time (data): 0.697 (0.000)] l1_latent_opt: 8.4765e-01 l1_pixel_opt: 8.0211e-02 fft_latent_opt: 6.4810e-01 +2025-10-30 01:20:04,595 INFO: [27..][epoch: 1, step: 58,500, lr:(1.500e-04,)] [eta: 13:20:42, time (data): 0.692 (0.000)] l1_latent_opt: 8.3908e-01 l1_pixel_opt: 7.0690e-02 fft_latent_opt: 6.3576e-01 +2025-10-30 01:21:13,689 INFO: [27..][epoch: 1, step: 58,600, lr:(1.500e-04,)] [eta: 13:19:26, time (data): 0.691 (0.000)] l1_latent_opt: 8.6500e-01 l1_pixel_opt: 9.2026e-02 fft_latent_opt: 6.5061e-01 +2025-10-30 01:22:22,896 INFO: [27..][epoch: 1, step: 58,700, lr:(1.500e-04,)] [eta: 13:18:11, time (data): 0.691 (0.000)] l1_latent_opt: 8.4422e-01 l1_pixel_opt: 8.2297e-02 fft_latent_opt: 6.4668e-01 +2025-10-30 01:23:32,530 INFO: [27..][epoch: 1, step: 58,800, lr:(1.500e-04,)] [eta: 13:16:55, time (data): 0.696 (0.000)] l1_latent_opt: 8.5958e-01 l1_pixel_opt: 8.6106e-02 fft_latent_opt: 6.4250e-01 +2025-10-30 01:24:41,845 INFO: [27..][epoch: 1, step: 58,900, lr:(1.500e-04,)] [eta: 13:15:40, time (data): 0.694 (0.000)] l1_latent_opt: 8.5314e-01 l1_pixel_opt: 8.1092e-02 fft_latent_opt: 6.5025e-01 +2025-10-30 01:25:51,170 INFO: [27..][epoch: 1, step: 59,000, lr:(1.500e-04,)] [eta: 13:14:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5090e-01 l1_pixel_opt: 8.1879e-02 fft_latent_opt: 6.4957e-01 +2025-10-30 01:27:00,456 INFO: [27..][epoch: 1, step: 59,100, lr:(1.500e-04,)] [eta: 13:13:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.5959e-01 l1_pixel_opt: 8.8462e-02 fft_latent_opt: 6.3841e-01 +2025-10-30 01:28:09,858 INFO: [27..][epoch: 1, step: 59,200, lr:(1.500e-04,)] [eta: 13:11:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.4755e-01 l1_pixel_opt: 7.6504e-02 fft_latent_opt: 6.4502e-01 +2025-10-30 01:29:19,119 INFO: [27..][epoch: 1, step: 59,300, lr:(1.500e-04,)] [eta: 13:10:38, time (data): 0.693 (0.000)] l1_latent_opt: 8.5018e-01 l1_pixel_opt: 8.2282e-02 fft_latent_opt: 6.5322e-01 +2025-10-30 01:30:28,671 INFO: [27..][epoch: 1, step: 59,400, lr:(1.500e-04,)] [eta: 13:09:23, time (data): 0.695 (0.000)] l1_latent_opt: 8.5528e-01 l1_pixel_opt: 8.0058e-02 fft_latent_opt: 6.5118e-01 +2025-10-30 01:31:38,010 INFO: [27..][epoch: 1, step: 59,500, lr:(1.500e-04,)] [eta: 13:08:08, time (data): 0.692 (0.000)] l1_latent_opt: 8.5924e-01 l1_pixel_opt: 8.7149e-02 fft_latent_opt: 6.5441e-01 +2025-10-30 01:32:47,300 INFO: [27..][epoch: 1, step: 59,600, lr:(1.500e-04,)] [eta: 13:06:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.5269e-01 l1_pixel_opt: 8.3043e-02 fft_latent_opt: 6.4811e-01 +2025-10-30 01:33:56,610 INFO: [27..][epoch: 1, step: 59,700, lr:(1.500e-04,)] [eta: 13:05:37, time (data): 0.694 (0.000)] l1_latent_opt: 8.4032e-01 l1_pixel_opt: 7.8156e-02 fft_latent_opt: 6.5175e-01 +2025-10-30 01:35:05,910 INFO: [27..][epoch: 1, step: 59,800, lr:(1.500e-04,)] [eta: 13:04:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.5453e-01 l1_pixel_opt: 8.1141e-02 fft_latent_opt: 6.4933e-01 +2025-10-30 01:36:15,227 INFO: [27..][epoch: 1, step: 59,900, lr:(1.500e-04,)] [eta: 13:03:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.4930e-01 l1_pixel_opt: 7.9020e-02 fft_latent_opt: 6.5827e-01 +2025-10-30 01:37:24,506 INFO: [27..][epoch: 1, step: 60,000, lr:(1.500e-04,)] [eta: 13:01:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.5316e-01 l1_pixel_opt: 8.2510e-02 fft_latent_opt: 6.4473e-01 +2025-10-30 01:37:24,507 INFO: Saving models and training states. +2025-10-30 01:39:39,484 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8948 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2856 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1232 Best: 27.1232 @ 60000 iter + +2025-10-30 01:40:48,692 INFO: [27..][epoch: 1, step: 60,100, lr:(1.500e-04,)] [eta: 13:03:01, time (data): 0.693 (0.000)] l1_latent_opt: 8.5624e-01 l1_pixel_opt: 8.9651e-02 fft_latent_opt: 6.4380e-01 +2025-10-30 01:41:57,933 INFO: [27..][epoch: 1, step: 60,200, lr:(1.500e-04,)] [eta: 13:01:46, time (data): 0.692 (0.000)] l1_latent_opt: 8.4860e-01 l1_pixel_opt: 8.4885e-02 fft_latent_opt: 6.5208e-01 +2025-10-30 01:43:07,053 INFO: [27..][epoch: 1, step: 60,300, lr:(1.500e-04,)] [eta: 13:00:30, time (data): 0.692 (0.000)] l1_latent_opt: 8.5500e-01 l1_pixel_opt: 8.7657e-02 fft_latent_opt: 6.5349e-01 +2025-10-30 01:44:16,334 INFO: [27..][epoch: 1, step: 60,400, lr:(1.500e-04,)] [eta: 12:59:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.5210e-01 l1_pixel_opt: 8.7428e-02 fft_latent_opt: 6.4301e-01 +2025-10-30 01:45:25,608 INFO: [27..][epoch: 1, step: 60,500, lr:(1.500e-04,)] [eta: 12:57:58, time (data): 0.693 (0.000)] l1_latent_opt: 8.6073e-01 l1_pixel_opt: 8.4758e-02 fft_latent_opt: 6.4214e-01 +2025-10-30 01:46:34,882 INFO: [27..][epoch: 1, step: 60,600, lr:(1.500e-04,)] [eta: 12:56:43, time (data): 0.693 (0.000)] l1_latent_opt: 8.6129e-01 l1_pixel_opt: 9.1977e-02 fft_latent_opt: 6.4822e-01 +2025-10-30 01:47:44,148 INFO: [27..][epoch: 1, step: 60,700, lr:(1.500e-04,)] [eta: 12:55:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.4511e-01 l1_pixel_opt: 7.6298e-02 fft_latent_opt: 6.4443e-01 +2025-10-30 01:48:53,501 INFO: [27..][epoch: 1, step: 60,800, lr:(1.500e-04,)] [eta: 12:54:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.5165e-01 l1_pixel_opt: 7.7151e-02 fft_latent_opt: 6.5038e-01 +2025-10-30 01:50:02,502 INFO: [27..][epoch: 1, step: 60,900, lr:(1.500e-04,)] [eta: 12:52:55, time (data): 0.692 (0.000)] l1_latent_opt: 8.5968e-01 l1_pixel_opt: 8.5190e-02 fft_latent_opt: 6.5414e-01 +2025-10-30 01:51:11,763 INFO: [27..][epoch: 1, step: 61,000, lr:(1.500e-04,)] [eta: 12:51:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.4503e-01 l1_pixel_opt: 7.8889e-02 fft_latent_opt: 6.4939e-01 +2025-10-30 01:52:21,066 INFO: [27..][epoch: 1, step: 61,100, lr:(1.500e-04,)] [eta: 12:50:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5093e-01 l1_pixel_opt: 8.4219e-02 fft_latent_opt: 6.4615e-01 +2025-10-30 01:53:30,388 INFO: [27..][epoch: 1, step: 61,200, lr:(1.500e-04,)] [eta: 12:49:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.4773e-01 l1_pixel_opt: 8.6589e-02 fft_latent_opt: 6.4126e-01 +2025-10-30 01:54:39,721 INFO: [27..][epoch: 1, step: 61,300, lr:(1.500e-04,)] [eta: 12:47:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.5094e-01 l1_pixel_opt: 8.1125e-02 fft_latent_opt: 6.4165e-01 +2025-10-30 01:55:49,131 INFO: [27..][epoch: 1, step: 61,400, lr:(1.500e-04,)] [eta: 12:46:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.4166e-01 l1_pixel_opt: 8.0857e-02 fft_latent_opt: 6.4351e-01 +2025-10-30 01:56:58,684 INFO: [27..][epoch: 2, step: 61,500, lr:(1.500e-04,)] [eta: 12:45:23, time (data): 0.695 (0.001)] l1_latent_opt: 8.6000e-01 l1_pixel_opt: 8.5939e-02 fft_latent_opt: 6.4841e-01 +2025-10-30 01:58:07,907 INFO: [27..][epoch: 2, step: 61,600, lr:(1.500e-04,)] [eta: 12:44:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.4871e-01 l1_pixel_opt: 9.0404e-02 fft_latent_opt: 6.4638e-01 +2025-10-30 01:59:17,294 INFO: [27..][epoch: 2, step: 61,700, lr:(1.500e-04,)] [eta: 12:42:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.4638e-01 l1_pixel_opt: 8.0962e-02 fft_latent_opt: 6.4325e-01 +2025-10-30 02:00:26,763 INFO: [27..][epoch: 2, step: 61,800, lr:(1.500e-04,)] [eta: 12:41:37, time (data): 0.693 (0.000)] l1_latent_opt: 8.5742e-01 l1_pixel_opt: 8.9386e-02 fft_latent_opt: 6.4424e-01 +2025-10-30 02:01:36,387 INFO: [27..][epoch: 2, step: 61,900, lr:(1.500e-04,)] [eta: 12:40:22, time (data): 0.695 (0.000)] l1_latent_opt: 8.5519e-01 l1_pixel_opt: 8.8331e-02 fft_latent_opt: 6.4829e-01 +2025-10-30 02:02:45,773 INFO: [27..][epoch: 2, step: 62,000, lr:(1.500e-04,)] [eta: 12:39:07, time (data): 0.693 (0.000)] l1_latent_opt: 8.5112e-01 l1_pixel_opt: 7.8149e-02 fft_latent_opt: 6.4787e-01 +2025-10-30 02:03:55,066 INFO: [27..][epoch: 2, step: 62,100, lr:(1.500e-04,)] [eta: 12:37:51, time (data): 0.693 (0.000)] l1_latent_opt: 8.4910e-01 l1_pixel_opt: 7.5193e-02 fft_latent_opt: 6.5417e-01 +2025-10-30 02:05:04,338 INFO: [27..][epoch: 2, step: 62,200, lr:(1.500e-04,)] [eta: 12:36:36, time (data): 0.693 (0.000)] l1_latent_opt: 8.5429e-01 l1_pixel_opt: 7.8992e-02 fft_latent_opt: 6.5309e-01 +2025-10-30 02:06:13,609 INFO: [27..][epoch: 2, step: 62,300, lr:(1.500e-04,)] [eta: 12:35:21, time (data): 0.693 (0.000)] l1_latent_opt: 8.4366e-01 l1_pixel_opt: 7.6320e-02 fft_latent_opt: 6.4056e-01 +2025-10-30 02:07:22,895 INFO: [27..][epoch: 2, step: 62,400, lr:(1.500e-04,)] [eta: 12:34:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.5275e-01 l1_pixel_opt: 9.0605e-02 fft_latent_opt: 6.4837e-01 +2025-10-30 02:08:32,174 INFO: [27..][epoch: 2, step: 62,500, lr:(1.500e-04,)] [eta: 12:32:50, time (data): 0.693 (0.000)] l1_latent_opt: 8.3838e-01 l1_pixel_opt: 7.2993e-02 fft_latent_opt: 6.4754e-01 +2025-10-30 02:09:41,453 INFO: [27..][epoch: 2, step: 62,600, lr:(1.500e-04,)] [eta: 12:31:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.4652e-01 l1_pixel_opt: 7.8377e-02 fft_latent_opt: 6.4267e-01 +2025-10-30 02:10:50,804 INFO: [27..][epoch: 2, step: 62,700, lr:(1.500e-04,)] [eta: 12:30:20, time (data): 0.693 (0.000)] l1_latent_opt: 8.5992e-01 l1_pixel_opt: 8.6355e-02 fft_latent_opt: 6.5109e-01 +2025-10-30 02:12:00,085 INFO: [27..][epoch: 2, step: 62,800, lr:(1.500e-04,)] [eta: 12:29:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.4691e-01 l1_pixel_opt: 8.0406e-02 fft_latent_opt: 6.5079e-01 +2025-10-30 02:13:09,534 INFO: [27..][epoch: 2, step: 62,900, lr:(1.500e-04,)] [eta: 12:27:49, time (data): 0.694 (0.000)] l1_latent_opt: 8.5037e-01 l1_pixel_opt: 8.4009e-02 fft_latent_opt: 6.4894e-01 +2025-10-30 02:14:18,817 INFO: [27..][epoch: 2, step: 63,000, lr:(1.500e-04,)] [eta: 12:26:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.4918e-01 l1_pixel_opt: 8.1034e-02 fft_latent_opt: 6.4699e-01 +2025-10-30 02:15:28,217 INFO: [27..][epoch: 2, step: 63,100, lr:(1.500e-04,)] [eta: 12:25:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.5014e-01 l1_pixel_opt: 8.2167e-02 fft_latent_opt: 6.5396e-01 +2025-10-30 02:16:37,500 INFO: [27..][epoch: 2, step: 63,200, lr:(1.500e-04,)] [eta: 12:24:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.4826e-01 l1_pixel_opt: 8.2258e-02 fft_latent_opt: 6.4481e-01 +2025-10-30 02:17:46,829 INFO: [27..][epoch: 2, step: 63,300, lr:(1.500e-04,)] [eta: 12:22:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.5420e-01 l1_pixel_opt: 8.4164e-02 fft_latent_opt: 6.4203e-01 +2025-10-30 02:19:05,450 INFO: [27..][epoch: 2, step: 63,400, lr:(1.500e-04,)] [eta: 12:21:43, time (data): 0.803 (0.090)] l1_latent_opt: 8.3764e-01 l1_pixel_opt: 8.0920e-02 fft_latent_opt: 6.4124e-01 +2025-10-30 02:20:15,129 INFO: [27..][epoch: 2, step: 63,500, lr:(1.500e-04,)] [eta: 12:20:28, time (data): 0.745 (0.042)] l1_latent_opt: 8.3858e-01 l1_pixel_opt: 7.8067e-02 fft_latent_opt: 6.3679e-01 +2025-10-30 02:21:24,504 INFO: [27..][epoch: 2, step: 63,600, lr:(1.500e-04,)] [eta: 12:19:13, time (data): 0.694 (0.000)] l1_latent_opt: 8.5345e-01 l1_pixel_opt: 8.3917e-02 fft_latent_opt: 6.4988e-01 +2025-10-30 02:22:33,801 INFO: [27..][epoch: 2, step: 63,700, lr:(1.500e-04,)] [eta: 12:17:58, time (data): 0.693 (0.000)] l1_latent_opt: 8.4715e-01 l1_pixel_opt: 8.3557e-02 fft_latent_opt: 6.4101e-01 +2025-10-30 02:23:43,167 INFO: [27..][epoch: 2, step: 63,800, lr:(1.500e-04,)] [eta: 12:16:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.5316e-01 l1_pixel_opt: 8.2468e-02 fft_latent_opt: 6.4082e-01 +2025-10-30 02:24:52,542 INFO: [27..][epoch: 2, step: 63,900, lr:(1.500e-04,)] [eta: 12:15:28, time (data): 0.694 (0.000)] l1_latent_opt: 8.4653e-01 l1_pixel_opt: 7.8174e-02 fft_latent_opt: 6.4185e-01 +2025-10-30 02:26:01,889 INFO: [27..][epoch: 2, step: 64,000, lr:(1.500e-04,)] [eta: 12:14:13, time (data): 0.694 (0.000)] l1_latent_opt: 8.6265e-01 l1_pixel_opt: 8.6514e-02 fft_latent_opt: 6.5461e-01 +2025-10-30 02:27:11,283 INFO: [27..][epoch: 2, step: 64,100, lr:(1.500e-04,)] [eta: 12:12:58, time (data): 0.694 (0.000)] l1_latent_opt: 8.5334e-01 l1_pixel_opt: 8.6161e-02 fft_latent_opt: 6.4808e-01 +2025-10-30 02:28:20,939 INFO: [27..][epoch: 2, step: 64,200, lr:(1.500e-04,)] [eta: 12:11:44, time (data): 0.696 (0.000)] l1_latent_opt: 8.5296e-01 l1_pixel_opt: 8.3013e-02 fft_latent_opt: 6.4982e-01 +2025-10-30 02:29:30,684 INFO: [27..][epoch: 2, step: 64,300, lr:(1.500e-04,)] [eta: 12:10:29, time (data): 0.697 (0.000)] l1_latent_opt: 8.4564e-01 l1_pixel_opt: 7.9490e-02 fft_latent_opt: 6.4064e-01 +2025-10-30 02:30:40,028 INFO: [27..][epoch: 2, step: 64,400, lr:(1.500e-04,)] [eta: 12:09:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.4601e-01 l1_pixel_opt: 7.9638e-02 fft_latent_opt: 6.4927e-01 +2025-10-30 02:31:49,384 INFO: [27..][epoch: 2, step: 64,500, lr:(1.500e-04,)] [eta: 12:07:59, time (data): 0.693 (0.000)] l1_latent_opt: 8.5324e-01 l1_pixel_opt: 8.8680e-02 fft_latent_opt: 6.4905e-01 +2025-10-30 02:32:58,954 INFO: [27..][epoch: 2, step: 64,600, lr:(1.500e-04,)] [eta: 12:06:45, time (data): 0.697 (0.000)] l1_latent_opt: 8.4712e-01 l1_pixel_opt: 7.7931e-02 fft_latent_opt: 6.5179e-01 +2025-10-30 02:34:08,196 INFO: [27..][epoch: 2, step: 64,700, lr:(1.500e-04,)] [eta: 12:05:30, time (data): 0.694 (0.000)] l1_latent_opt: 8.5573e-01 l1_pixel_opt: 8.8892e-02 fft_latent_opt: 6.4562e-01 +2025-10-30 02:35:17,402 INFO: [27..][epoch: 2, step: 64,800, lr:(1.500e-04,)] [eta: 12:04:15, time (data): 0.692 (0.000)] l1_latent_opt: 8.5245e-01 l1_pixel_opt: 7.8992e-02 fft_latent_opt: 6.4027e-01 +2025-10-30 02:36:26,736 INFO: [27..][epoch: 2, step: 64,900, lr:(1.500e-04,)] [eta: 12:03:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.5665e-01 l1_pixel_opt: 8.6611e-02 fft_latent_opt: 6.4740e-01 +2025-10-30 02:37:36,454 INFO: [27..][epoch: 2, step: 65,000, lr:(1.500e-04,)] [eta: 12:01:45, time (data): 0.698 (0.000)] l1_latent_opt: 8.4636e-01 l1_pixel_opt: 8.4965e-02 fft_latent_opt: 6.4697e-01 +2025-10-30 02:37:36,455 INFO: Saving models and training states. +2025-10-30 02:39:56,021 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8928 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2803 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1264 Best: 27.1264 @ 65000 iter + +2025-10-30 02:41:06,310 INFO: [27..][epoch: 2, step: 65,100, lr:(1.500e-04,)] [eta: 12:02:40, time (data): 0.701 (0.000)] l1_latent_opt: 8.5618e-01 l1_pixel_opt: 8.3997e-02 fft_latent_opt: 6.4939e-01 +2025-10-30 02:42:15,633 INFO: [27..][epoch: 2, step: 65,200, lr:(1.500e-04,)] [eta: 12:01:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.4713e-01 l1_pixel_opt: 7.5292e-02 fft_latent_opt: 6.4432e-01 +2025-10-30 02:43:25,004 INFO: [27..][epoch: 2, step: 65,300, lr:(1.500e-04,)] [eta: 12:00:10, time (data): 0.694 (0.000)] l1_latent_opt: 8.4939e-01 l1_pixel_opt: 8.1580e-02 fft_latent_opt: 6.5258e-01 +2025-10-30 02:44:34,375 INFO: [27..][epoch: 2, step: 65,400, lr:(1.500e-04,)] [eta: 11:58:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.5593e-01 l1_pixel_opt: 8.7759e-02 fft_latent_opt: 6.5660e-01 +2025-10-30 02:45:43,837 INFO: [27..][epoch: 2, step: 65,500, lr:(1.500e-04,)] [eta: 11:57:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.4492e-01 l1_pixel_opt: 8.0727e-02 fft_latent_opt: 6.4085e-01 +2025-10-30 02:46:53,359 INFO: [27..][epoch: 2, step: 65,600, lr:(1.500e-04,)] [eta: 11:56:24, time (data): 0.696 (0.000)] l1_latent_opt: 8.4720e-01 l1_pixel_opt: 9.1953e-02 fft_latent_opt: 6.4297e-01 +2025-10-30 02:48:02,699 INFO: [27..][epoch: 2, step: 65,700, lr:(1.500e-04,)] [eta: 11:55:09, time (data): 0.694 (0.000)] l1_latent_opt: 8.5377e-01 l1_pixel_opt: 8.7264e-02 fft_latent_opt: 6.4199e-01 +2025-10-30 02:49:12,198 INFO: [27..][epoch: 2, step: 65,800, lr:(1.500e-04,)] [eta: 11:53:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.4564e-01 l1_pixel_opt: 8.2223e-02 fft_latent_opt: 6.5239e-01 +2025-10-30 02:50:21,580 INFO: [27..][epoch: 2, step: 65,900, lr:(1.500e-04,)] [eta: 11:52:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.5156e-01 l1_pixel_opt: 8.2823e-02 fft_latent_opt: 6.3704e-01 +2025-10-30 02:51:31,381 INFO: [27..][epoch: 2, step: 66,000, lr:(1.500e-04,)] [eta: 11:51:25, time (data): 0.699 (0.000)] l1_latent_opt: 8.4692e-01 l1_pixel_opt: 8.6839e-02 fft_latent_opt: 6.3686e-01 +2025-10-30 02:52:40,725 INFO: [27..][epoch: 2, step: 66,100, lr:(1.500e-04,)] [eta: 11:50:10, time (data): 0.696 (0.000)] l1_latent_opt: 8.4695e-01 l1_pixel_opt: 7.8448e-02 fft_latent_opt: 6.4477e-01 +2025-10-30 02:53:50,275 INFO: [27..][epoch: 2, step: 66,200, lr:(1.500e-04,)] [eta: 11:48:55, time (data): 0.694 (0.000)] l1_latent_opt: 8.6669e-01 l1_pixel_opt: 9.8318e-02 fft_latent_opt: 6.4288e-01 +2025-10-30 02:54:59,615 INFO: [27..][epoch: 2, step: 66,300, lr:(1.500e-04,)] [eta: 11:47:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.5481e-01 l1_pixel_opt: 8.0640e-02 fft_latent_opt: 6.5240e-01 +2025-10-30 02:56:08,897 INFO: [27..][epoch: 2, step: 66,400, lr:(1.500e-04,)] [eta: 11:46:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.5185e-01 l1_pixel_opt: 7.6495e-02 fft_latent_opt: 6.4287e-01 +2025-10-30 02:57:18,159 INFO: [27..][epoch: 2, step: 66,500, lr:(1.500e-04,)] [eta: 11:45:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.5018e-01 l1_pixel_opt: 8.1034e-02 fft_latent_opt: 6.5605e-01 +2025-10-30 02:58:27,442 INFO: [27..][epoch: 2, step: 66,600, lr:(1.500e-04,)] [eta: 11:43:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.5781e-01 l1_pixel_opt: 8.2616e-02 fft_latent_opt: 6.4844e-01 +2025-10-30 02:59:36,803 INFO: [27..][epoch: 2, step: 66,700, lr:(1.500e-04,)] [eta: 11:42:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.6359e-01 l1_pixel_opt: 8.2072e-02 fft_latent_opt: 6.5425e-01 +2025-10-30 03:00:46,239 INFO: [27..][epoch: 2, step: 66,800, lr:(1.500e-04,)] [eta: 11:41:25, time (data): 0.695 (0.000)] l1_latent_opt: 8.4726e-01 l1_pixel_opt: 8.3842e-02 fft_latent_opt: 6.4709e-01 +2025-10-30 03:01:55,530 INFO: [27..][epoch: 2, step: 66,900, lr:(1.500e-04,)] [eta: 11:40:10, time (data): 0.694 (0.000)] l1_latent_opt: 8.5450e-01 l1_pixel_opt: 7.9825e-02 fft_latent_opt: 6.4962e-01 +2025-10-30 03:03:04,823 INFO: [27..][epoch: 2, step: 67,000, lr:(1.500e-04,)] [eta: 11:38:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.5178e-01 l1_pixel_opt: 8.9204e-02 fft_latent_opt: 6.4670e-01 +2025-10-30 03:04:14,119 INFO: [27..][epoch: 2, step: 67,100, lr:(1.500e-04,)] [eta: 11:37:40, time (data): 0.693 (0.000)] l1_latent_opt: 8.4447e-01 l1_pixel_opt: 8.4169e-02 fft_latent_opt: 6.5334e-01 +2025-10-30 03:05:29,808 INFO: [27..][epoch: 2, step: 67,200, lr:(1.500e-04,)] [eta: 11:36:31, time (data): 0.790 (0.000)] l1_latent_opt: 8.5431e-01 l1_pixel_opt: 8.1180e-02 fft_latent_opt: 6.5614e-01 +2025-10-30 03:06:39,308 INFO: [27..][epoch: 2, step: 67,300, lr:(1.500e-04,)] [eta: 11:35:16, time (data): 0.733 (0.000)] l1_latent_opt: 8.5619e-01 l1_pixel_opt: 8.5642e-02 fft_latent_opt: 6.5491e-01 +2025-10-30 03:07:48,648 INFO: [27..][epoch: 2, step: 67,400, lr:(1.500e-04,)] [eta: 11:34:01, time (data): 0.694 (0.000)] l1_latent_opt: 8.4033e-01 l1_pixel_opt: 7.5547e-02 fft_latent_opt: 6.4495e-01 +2025-10-30 03:08:57,972 INFO: [27..][epoch: 2, step: 67,500, lr:(1.500e-04,)] [eta: 11:32:47, time (data): 0.693 (0.000)] l1_latent_opt: 8.5636e-01 l1_pixel_opt: 8.4254e-02 fft_latent_opt: 6.4873e-01 +2025-10-30 03:10:07,352 INFO: [27..][epoch: 2, step: 67,600, lr:(1.500e-04,)] [eta: 11:31:32, time (data): 0.694 (0.000)] l1_latent_opt: 8.4756e-01 l1_pixel_opt: 7.7623e-02 fft_latent_opt: 6.4991e-01 +2025-10-30 03:11:16,665 INFO: [27..][epoch: 2, step: 67,700, lr:(1.500e-04,)] [eta: 11:30:17, time (data): 0.694 (0.000)] l1_latent_opt: 8.5765e-01 l1_pixel_opt: 8.9230e-02 fft_latent_opt: 6.5658e-01 +2025-10-30 03:12:26,041 INFO: [27..][epoch: 2, step: 67,800, lr:(1.500e-04,)] [eta: 11:29:02, time (data): 0.693 (0.000)] l1_latent_opt: 8.4448e-01 l1_pixel_opt: 8.0186e-02 fft_latent_opt: 6.4858e-01 +2025-10-30 03:13:41,743 INFO: [27..][epoch: 2, step: 67,900, lr:(1.500e-04,)] [eta: 11:27:53, time (data): 0.732 (0.000)] l1_latent_opt: 8.5858e-01 l1_pixel_opt: 8.7288e-02 fft_latent_opt: 6.4481e-01 +2025-10-30 03:14:51,150 INFO: [27..][epoch: 2, step: 68,000, lr:(1.500e-04,)] [eta: 11:26:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.4877e-01 l1_pixel_opt: 8.5353e-02 fft_latent_opt: 6.4335e-01 +2025-10-30 03:16:00,785 INFO: [27..][epoch: 2, step: 68,100, lr:(1.500e-04,)] [eta: 11:25:24, time (data): 0.696 (0.000)] l1_latent_opt: 8.4830e-01 l1_pixel_opt: 7.4556e-02 fft_latent_opt: 6.4754e-01 +2025-10-30 03:17:16,464 INFO: [27..][epoch: 2, step: 68,200, lr:(1.500e-04,)] [eta: 11:24:14, time (data): 0.797 (0.000)] l1_latent_opt: 8.5259e-01 l1_pixel_opt: 8.5353e-02 fft_latent_opt: 6.4647e-01 +2025-10-30 03:18:25,808 INFO: [27..][epoch: 2, step: 68,300, lr:(1.500e-04,)] [eta: 11:23:00, time (data): 0.733 (0.000)] l1_latent_opt: 8.4610e-01 l1_pixel_opt: 8.2970e-02 fft_latent_opt: 6.4182e-01 +2025-10-30 03:19:34,854 INFO: [27..][epoch: 2, step: 68,400, lr:(1.500e-04,)] [eta: 11:21:45, time (data): 0.691 (0.000)] l1_latent_opt: 8.4606e-01 l1_pixel_opt: 7.8917e-02 fft_latent_opt: 6.4772e-01 +2025-10-30 03:20:44,008 INFO: [27..][epoch: 2, step: 68,500, lr:(1.500e-04,)] [eta: 11:20:30, time (data): 0.691 (0.000)] l1_latent_opt: 8.5128e-01 l1_pixel_opt: 8.6641e-02 fft_latent_opt: 6.4959e-01 +2025-10-30 03:21:53,303 INFO: [27..][epoch: 2, step: 68,600, lr:(1.500e-04,)] [eta: 11:19:15, time (data): 0.693 (0.000)] l1_latent_opt: 8.5344e-01 l1_pixel_opt: 8.4800e-02 fft_latent_opt: 6.3832e-01 +2025-10-30 03:23:02,626 INFO: [27..][epoch: 2, step: 68,700, lr:(1.500e-04,)] [eta: 11:18:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.4931e-01 l1_pixel_opt: 7.8238e-02 fft_latent_opt: 6.4685e-01 +2025-10-30 03:24:11,916 INFO: [27..][epoch: 2, step: 68,800, lr:(1.500e-04,)] [eta: 11:16:46, time (data): 0.693 (0.000)] l1_latent_opt: 8.6568e-01 l1_pixel_opt: 9.2528e-02 fft_latent_opt: 6.5155e-01 +2025-10-30 03:25:21,481 INFO: [27..][epoch: 2, step: 68,900, lr:(1.500e-04,)] [eta: 11:15:31, time (data): 0.695 (0.000)] l1_latent_opt: 8.4300e-01 l1_pixel_opt: 8.0546e-02 fft_latent_opt: 6.4316e-01 +2025-10-30 03:26:31,042 INFO: [27..][epoch: 2, step: 69,000, lr:(1.500e-04,)] [eta: 11:14:17, time (data): 0.694 (0.000)] l1_latent_opt: 8.5596e-01 l1_pixel_opt: 8.9059e-02 fft_latent_opt: 6.4371e-01 +2025-10-30 03:27:40,407 INFO: [27..][epoch: 2, step: 69,100, lr:(1.500e-04,)] [eta: 11:13:02, time (data): 0.694 (0.000)] l1_latent_opt: 8.5069e-01 l1_pixel_opt: 8.9316e-02 fft_latent_opt: 6.5250e-01 +2025-10-30 03:28:49,726 INFO: [27..][epoch: 2, step: 69,200, lr:(1.500e-04,)] [eta: 11:11:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.4978e-01 l1_pixel_opt: 7.6442e-02 fft_latent_opt: 6.4242e-01 +2025-10-30 03:29:59,068 INFO: [27..][epoch: 2, step: 69,300, lr:(1.500e-04,)] [eta: 11:10:33, time (data): 0.693 (0.000)] l1_latent_opt: 8.5253e-01 l1_pixel_opt: 8.0209e-02 fft_latent_opt: 6.5058e-01 +2025-10-30 03:31:08,402 INFO: [27..][epoch: 2, step: 69,400, lr:(1.500e-04,)] [eta: 11:09:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.4819e-01 l1_pixel_opt: 7.9622e-02 fft_latent_opt: 6.3791e-01 +2025-10-30 03:32:17,734 INFO: [27..][epoch: 2, step: 69,500, lr:(1.500e-04,)] [eta: 11:08:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.4761e-01 l1_pixel_opt: 8.6812e-02 fft_latent_opt: 6.4907e-01 +2025-10-30 03:33:27,282 INFO: [27..][epoch: 2, step: 69,600, lr:(1.500e-04,)] [eta: 11:06:50, time (data): 0.697 (0.000)] l1_latent_opt: 8.4486e-01 l1_pixel_opt: 7.8307e-02 fft_latent_opt: 6.4722e-01 +2025-10-30 03:34:36,614 INFO: [27..][epoch: 2, step: 69,700, lr:(1.500e-04,)] [eta: 11:05:35, time (data): 0.695 (0.000)] l1_latent_opt: 8.4914e-01 l1_pixel_opt: 7.8496e-02 fft_latent_opt: 6.4836e-01 +2025-10-30 03:35:46,175 INFO: [27..][epoch: 2, step: 69,800, lr:(1.500e-04,)] [eta: 11:04:21, time (data): 0.697 (0.000)] l1_latent_opt: 8.4546e-01 l1_pixel_opt: 7.8614e-02 fft_latent_opt: 6.4808e-01 +2025-10-30 03:36:55,509 INFO: [27..][epoch: 2, step: 69,900, lr:(1.500e-04,)] [eta: 11:03:06, time (data): 0.695 (0.000)] l1_latent_opt: 8.4686e-01 l1_pixel_opt: 7.7233e-02 fft_latent_opt: 6.3728e-01 +2025-10-30 03:38:04,820 INFO: [27..][epoch: 2, step: 70,000, lr:(1.500e-04,)] [eta: 11:01:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.4853e-01 l1_pixel_opt: 7.9456e-02 fft_latent_opt: 6.4394e-01 +2025-10-30 03:38:04,821 INFO: Saving models and training states. +2025-10-30 03:40:20,871 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8926 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2800 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1306 Best: 27.1306 @ 70000 iter + +2025-10-30 03:41:30,273 INFO: [27..][epoch: 2, step: 70,100, lr:(1.500e-04,)] [eta: 11:02:24, time (data): 0.694 (0.000)] l1_latent_opt: 8.5143e-01 l1_pixel_opt: 8.1430e-02 fft_latent_opt: 6.4345e-01 +2025-10-30 03:42:39,548 INFO: [27..][epoch: 2, step: 70,200, lr:(1.500e-04,)] [eta: 11:01:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.4911e-01 l1_pixel_opt: 8.5689e-02 fft_latent_opt: 6.6086e-01 +2025-10-30 03:43:48,835 INFO: [27..][epoch: 2, step: 70,300, lr:(1.500e-04,)] [eta: 10:59:54, time (data): 0.693 (0.000)] l1_latent_opt: 8.5946e-01 l1_pixel_opt: 8.6245e-02 fft_latent_opt: 6.4120e-01 +2025-10-30 03:44:58,126 INFO: [27..][epoch: 2, step: 70,400, lr:(1.500e-04,)] [eta: 10:58:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.5688e-01 l1_pixel_opt: 8.7844e-02 fft_latent_opt: 6.5318e-01 +2025-10-30 03:46:07,428 INFO: [27..][epoch: 2, step: 70,500, lr:(1.500e-04,)] [eta: 10:57:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.4711e-01 l1_pixel_opt: 8.0064e-02 fft_latent_opt: 6.4400e-01 +2025-10-30 03:47:16,740 INFO: [27..][epoch: 2, step: 70,600, lr:(1.500e-04,)] [eta: 10:56:10, time (data): 0.693 (0.000)] l1_latent_opt: 8.5186e-01 l1_pixel_opt: 7.5587e-02 fft_latent_opt: 6.5121e-01 +2025-10-30 03:48:26,020 INFO: [27..][epoch: 2, step: 70,700, lr:(1.500e-04,)] [eta: 10:54:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.5056e-01 l1_pixel_opt: 8.6223e-02 fft_latent_opt: 6.5442e-01 +2025-10-30 03:49:35,319 INFO: [27..][epoch: 2, step: 70,800, lr:(1.500e-04,)] [eta: 10:53:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.5035e-01 l1_pixel_opt: 9.3306e-02 fft_latent_opt: 6.5656e-01 +2025-10-30 03:50:44,814 INFO: [27..][epoch: 2, step: 70,900, lr:(1.500e-04,)] [eta: 10:52:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.5593e-01 l1_pixel_opt: 8.4541e-02 fft_latent_opt: 6.5710e-01 +2025-10-30 03:51:54,655 INFO: [27..][epoch: 2, step: 71,000, lr:(1.500e-04,)] [eta: 10:51:12, time (data): 0.693 (0.000)] l1_latent_opt: 8.5817e-01 l1_pixel_opt: 8.7632e-02 fft_latent_opt: 6.3891e-01 +2025-10-30 03:53:04,043 INFO: [27..][epoch: 2, step: 71,100, lr:(1.500e-04,)] [eta: 10:49:57, time (data): 0.694 (0.000)] l1_latent_opt: 8.5622e-01 l1_pixel_opt: 8.6572e-02 fft_latent_opt: 6.4546e-01 +2025-10-30 03:54:13,371 INFO: [27..][epoch: 2, step: 71,200, lr:(1.500e-04,)] [eta: 10:48:42, time (data): 0.693 (0.000)] l1_latent_opt: 8.5097e-01 l1_pixel_opt: 8.4243e-02 fft_latent_opt: 6.5276e-01 +2025-10-30 03:55:22,677 INFO: [27..][epoch: 2, step: 71,300, lr:(1.500e-04,)] [eta: 10:47:28, time (data): 0.693 (0.000)] l1_latent_opt: 8.5887e-01 l1_pixel_opt: 9.0356e-02 fft_latent_opt: 6.5263e-01 +2025-10-30 03:56:32,136 INFO: [27..][epoch: 2, step: 71,400, lr:(1.500e-04,)] [eta: 10:46:13, time (data): 0.696 (0.000)] l1_latent_opt: 8.5194e-01 l1_pixel_opt: 8.5155e-02 fft_latent_opt: 6.5647e-01 +2025-10-30 03:57:41,467 INFO: [27..][epoch: 2, step: 71,500, lr:(1.500e-04,)] [eta: 10:44:59, time (data): 0.694 (0.000)] l1_latent_opt: 8.4715e-01 l1_pixel_opt: 7.7742e-02 fft_latent_opt: 6.3968e-01 +2025-10-30 03:58:50,775 INFO: [27..][epoch: 2, step: 71,600, lr:(1.500e-04,)] [eta: 10:43:44, time (data): 0.693 (0.000)] l1_latent_opt: 8.4068e-01 l1_pixel_opt: 7.7133e-02 fft_latent_opt: 6.4349e-01 +2025-10-30 04:00:00,472 INFO: [27..][epoch: 2, step: 71,700, lr:(1.500e-04,)] [eta: 10:42:30, time (data): 0.696 (0.000)] l1_latent_opt: 8.5676e-01 l1_pixel_opt: 8.5346e-02 fft_latent_opt: 6.5916e-01 +2025-10-30 04:01:09,721 INFO: [27..][epoch: 2, step: 71,800, lr:(1.500e-04,)] [eta: 10:41:15, time (data): 0.692 (0.000)] l1_latent_opt: 8.5425e-01 l1_pixel_opt: 8.5466e-02 fft_latent_opt: 6.5249e-01 +2025-10-30 04:02:18,972 INFO: [27..][epoch: 2, step: 71,900, lr:(1.500e-04,)] [eta: 10:40:01, time (data): 0.692 (0.000)] l1_latent_opt: 8.5175e-01 l1_pixel_opt: 8.6835e-02 fft_latent_opt: 6.4117e-01 +2025-10-30 04:03:28,315 INFO: [27..][epoch: 2, step: 72,000, lr:(1.500e-04,)] [eta: 10:38:46, time (data): 0.693 (0.000)] l1_latent_opt: 8.4744e-01 l1_pixel_opt: 8.5673e-02 fft_latent_opt: 6.4278e-01 +2025-10-30 04:04:37,347 INFO: [27..][epoch: 2, step: 72,100, lr:(1.500e-04,)] [eta: 10:37:31, time (data): 0.691 (0.000)] l1_latent_opt: 8.4956e-01 l1_pixel_opt: 8.6330e-02 fft_latent_opt: 6.4685e-01 +2025-10-30 04:05:47,121 INFO: [27..][epoch: 2, step: 72,200, lr:(1.500e-04,)] [eta: 10:36:17, time (data): 0.703 (0.000)] l1_latent_opt: 8.5578e-01 l1_pixel_opt: 7.8939e-02 fft_latent_opt: 6.4923e-01 +2025-10-30 04:06:56,489 INFO: [27..][epoch: 2, step: 72,300, lr:(1.500e-04,)] [eta: 10:35:03, time (data): 0.696 (0.000)] l1_latent_opt: 8.5501e-01 l1_pixel_opt: 8.9197e-02 fft_latent_opt: 6.4979e-01 +2025-10-30 04:08:05,869 INFO: [27..][epoch: 2, step: 72,400, lr:(1.500e-04,)] [eta: 10:33:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.5020e-01 l1_pixel_opt: 7.8651e-02 fft_latent_opt: 6.5298e-01 +2025-10-30 04:09:15,193 INFO: [27..][epoch: 2, step: 72,500, lr:(1.500e-04,)] [eta: 10:32:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.4572e-01 l1_pixel_opt: 8.1847e-02 fft_latent_opt: 6.4781e-01 +2025-10-30 04:10:24,538 INFO: [27..][epoch: 2, step: 72,600, lr:(1.500e-04,)] [eta: 10:31:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.5513e-01 l1_pixel_opt: 9.0708e-02 fft_latent_opt: 6.4927e-01 +2025-10-30 04:11:33,893 INFO: [27..][epoch: 2, step: 72,700, lr:(1.500e-04,)] [eta: 10:30:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.4888e-01 l1_pixel_opt: 8.6317e-02 fft_latent_opt: 6.4418e-01 +2025-10-30 04:12:43,275 INFO: [27..][epoch: 2, step: 72,800, lr:(1.500e-04,)] [eta: 10:28:51, time (data): 0.694 (0.000)] l1_latent_opt: 8.3938e-01 l1_pixel_opt: 7.7692e-02 fft_latent_opt: 6.4884e-01 +2025-10-30 04:13:52,941 INFO: [27..][epoch: 2, step: 72,900, lr:(1.500e-04,)] [eta: 10:27:37, time (data): 0.696 (0.000)] l1_latent_opt: 8.4200e-01 l1_pixel_opt: 7.3905e-02 fft_latent_opt: 6.3974e-01 +2025-10-30 04:15:02,307 INFO: [27..][epoch: 2, step: 73,000, lr:(1.500e-04,)] [eta: 10:26:22, time (data): 0.694 (0.000)] l1_latent_opt: 8.4817e-01 l1_pixel_opt: 8.9858e-02 fft_latent_opt: 6.4715e-01 +2025-10-30 04:16:11,671 INFO: [27..][epoch: 2, step: 73,100, lr:(1.500e-04,)] [eta: 10:25:08, time (data): 0.694 (0.000)] l1_latent_opt: 8.6008e-01 l1_pixel_opt: 9.5035e-02 fft_latent_opt: 6.4779e-01 +2025-10-30 04:17:21,483 INFO: [27..][epoch: 2, step: 73,200, lr:(1.500e-04,)] [eta: 10:23:54, time (data): 0.697 (0.000)] l1_latent_opt: 8.3439e-01 l1_pixel_opt: 6.7867e-02 fft_latent_opt: 6.4002e-01 +2025-10-30 04:18:30,818 INFO: [27..][epoch: 2, step: 73,300, lr:(1.500e-04,)] [eta: 10:22:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.4667e-01 l1_pixel_opt: 7.7380e-02 fft_latent_opt: 6.4782e-01 +2025-10-30 04:19:40,170 INFO: [27..][epoch: 2, step: 73,400, lr:(1.500e-04,)] [eta: 10:21:25, time (data): 0.693 (0.000)] l1_latent_opt: 8.6468e-01 l1_pixel_opt: 9.3112e-02 fft_latent_opt: 6.5374e-01 +2025-10-30 04:20:49,530 INFO: [27..][epoch: 2, step: 73,500, lr:(1.500e-04,)] [eta: 10:20:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.4958e-01 l1_pixel_opt: 8.2926e-02 fft_latent_opt: 6.5122e-01 +2025-10-30 04:21:59,250 INFO: [27..][epoch: 2, step: 73,600, lr:(1.500e-04,)] [eta: 10:18:57, time (data): 0.699 (0.000)] l1_latent_opt: 8.5358e-01 l1_pixel_opt: 8.0124e-02 fft_latent_opt: 6.5274e-01 +2025-10-30 04:23:08,903 INFO: [27..][epoch: 2, step: 73,700, lr:(1.500e-04,)] [eta: 10:17:43, time (data): 0.697 (0.000)] l1_latent_opt: 8.4074e-01 l1_pixel_opt: 7.1835e-02 fft_latent_opt: 6.5181e-01 +2025-10-30 04:24:18,271 INFO: [27..][epoch: 2, step: 73,800, lr:(1.500e-04,)] [eta: 10:16:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.4392e-01 l1_pixel_opt: 8.2619e-02 fft_latent_opt: 6.4931e-01 +2025-10-30 04:25:27,577 INFO: [27..][epoch: 2, step: 73,900, lr:(1.500e-04,)] [eta: 10:15:14, time (data): 0.693 (0.000)] l1_latent_opt: 8.4857e-01 l1_pixel_opt: 8.1703e-02 fft_latent_opt: 6.4570e-01 +2025-10-30 04:26:36,865 INFO: [27..][epoch: 2, step: 74,000, lr:(1.500e-04,)] [eta: 10:14:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.4796e-01 l1_pixel_opt: 8.6610e-02 fft_latent_opt: 6.5025e-01 +2025-10-30 04:27:46,148 INFO: [27..][epoch: 2, step: 74,100, lr:(1.500e-04,)] [eta: 10:12:46, time (data): 0.693 (0.000)] l1_latent_opt: 8.4372e-01 l1_pixel_opt: 7.2742e-02 fft_latent_opt: 6.4716e-01 +2025-10-30 04:28:55,461 INFO: [27..][epoch: 2, step: 74,200, lr:(1.500e-04,)] [eta: 10:11:31, time (data): 0.693 (0.000)] l1_latent_opt: 8.4833e-01 l1_pixel_opt: 7.9817e-02 fft_latent_opt: 6.4335e-01 +2025-10-30 04:30:04,747 INFO: [27..][epoch: 2, step: 74,300, lr:(1.500e-04,)] [eta: 10:10:17, time (data): 0.693 (0.000)] l1_latent_opt: 8.4365e-01 l1_pixel_opt: 8.4110e-02 fft_latent_opt: 6.4865e-01 +2025-10-30 04:31:15,248 INFO: [27..][epoch: 2, step: 74,400, lr:(1.500e-04,)] [eta: 10:09:04, time (data): 0.703 (0.000)] l1_latent_opt: 8.4042e-01 l1_pixel_opt: 7.5664e-02 fft_latent_opt: 6.3609e-01 +2025-10-30 04:32:25,430 INFO: [27..][epoch: 2, step: 74,500, lr:(1.500e-04,)] [eta: 10:07:50, time (data): 0.702 (0.000)] l1_latent_opt: 8.5017e-01 l1_pixel_opt: 8.1146e-02 fft_latent_opt: 6.4295e-01 +2025-10-30 04:33:35,057 INFO: [27..][epoch: 2, step: 74,600, lr:(1.500e-04,)] [eta: 10:06:36, time (data): 0.692 (0.000)] l1_latent_opt: 8.4565e-01 l1_pixel_opt: 7.7607e-02 fft_latent_opt: 6.5388e-01 +2025-10-30 04:34:44,328 INFO: [27..][epoch: 2, step: 74,700, lr:(1.500e-04,)] [eta: 10:05:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.5861e-01 l1_pixel_opt: 9.3544e-02 fft_latent_opt: 6.4846e-01 +2025-10-30 04:35:53,590 INFO: [27..][epoch: 2, step: 74,800, lr:(1.500e-04,)] [eta: 10:04:08, time (data): 0.693 (0.000)] l1_latent_opt: 8.4974e-01 l1_pixel_opt: 7.7911e-02 fft_latent_opt: 6.3979e-01 +2025-10-30 04:37:02,961 INFO: [27..][epoch: 2, step: 74,900, lr:(1.500e-04,)] [eta: 10:02:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.4837e-01 l1_pixel_opt: 8.1858e-02 fft_latent_opt: 6.4882e-01 +2025-10-30 04:38:12,195 INFO: [27..][epoch: 2, step: 75,000, lr:(1.500e-04,)] [eta: 10:01:40, time (data): 0.692 (0.000)] l1_latent_opt: 8.4634e-01 l1_pixel_opt: 8.6035e-02 fft_latent_opt: 6.4477e-01 +2025-10-30 04:38:12,196 INFO: Saving models and training states. +2025-10-30 04:40:27,562 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8930 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2811 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1367 Best: 27.1367 @ 75000 iter + +2025-10-30 04:41:36,908 INFO: [27..][epoch: 2, step: 75,100, lr:(7.500e-05,)] [eta: 10:01:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.4626e-01 l1_pixel_opt: 8.5516e-02 fft_latent_opt: 6.3926e-01 +2025-10-30 04:42:46,191 INFO: [27..][epoch: 2, step: 75,200, lr:(7.500e-05,)] [eta: 10:00:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.4997e-01 l1_pixel_opt: 8.3661e-02 fft_latent_opt: 6.4164e-01 +2025-10-30 04:43:55,511 INFO: [27..][epoch: 2, step: 75,300, lr:(7.500e-05,)] [eta: 9:59:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.4630e-01 l1_pixel_opt: 7.8421e-02 fft_latent_opt: 6.4827e-01 +2025-10-30 04:45:04,878 INFO: [27..][epoch: 2, step: 75,400, lr:(7.500e-05,)] [eta: 9:58:12, time (data): 0.693 (0.000)] l1_latent_opt: 8.4537e-01 l1_pixel_opt: 8.0256e-02 fft_latent_opt: 6.4214e-01 +2025-10-30 04:46:14,599 INFO: [27..][epoch: 2, step: 75,500, lr:(7.500e-05,)] [eta: 9:56:58, time (data): 0.696 (0.000)] l1_latent_opt: 8.5792e-01 l1_pixel_opt: 8.4118e-02 fft_latent_opt: 6.4260e-01 +2025-10-30 04:47:23,899 INFO: [27..][epoch: 2, step: 75,600, lr:(7.500e-05,)] [eta: 9:55:44, time (data): 0.693 (0.000)] l1_latent_opt: 8.4725e-01 l1_pixel_opt: 7.8642e-02 fft_latent_opt: 6.4402e-01 +2025-10-30 04:48:33,259 INFO: [27..][epoch: 2, step: 75,700, lr:(7.500e-05,)] [eta: 9:54:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.5467e-01 l1_pixel_opt: 8.5462e-02 fft_latent_opt: 6.4763e-01 +2025-10-30 04:49:42,230 INFO: [27..][epoch: 2, step: 75,800, lr:(7.500e-05,)] [eta: 9:53:15, time (data): 0.690 (0.000)] l1_latent_opt: 8.4793e-01 l1_pixel_opt: 8.5488e-02 fft_latent_opt: 6.4671e-01 +2025-10-30 04:50:51,416 INFO: [27..][epoch: 2, step: 75,900, lr:(7.500e-05,)] [eta: 9:52:01, time (data): 0.691 (0.000)] l1_latent_opt: 8.4363e-01 l1_pixel_opt: 8.0269e-02 fft_latent_opt: 6.3915e-01 +2025-10-30 04:52:00,849 INFO: [27..][epoch: 2, step: 76,000, lr:(7.500e-05,)] [eta: 9:50:46, time (data): 0.694 (0.000)] l1_latent_opt: 8.5163e-01 l1_pixel_opt: 7.8150e-02 fft_latent_opt: 6.4123e-01 +2025-10-30 04:53:10,156 INFO: [27..][epoch: 2, step: 76,100, lr:(7.500e-05,)] [eta: 9:49:32, time (data): 0.693 (0.000)] l1_latent_opt: 8.4050e-01 l1_pixel_opt: 7.4628e-02 fft_latent_opt: 6.4136e-01 +2025-10-30 04:54:19,435 INFO: [27..][epoch: 2, step: 76,200, lr:(7.500e-05,)] [eta: 9:48:18, time (data): 0.693 (0.000)] l1_latent_opt: 8.4076e-01 l1_pixel_opt: 7.0309e-02 fft_latent_opt: 6.4359e-01 +2025-10-30 04:55:28,726 INFO: [27..][epoch: 2, step: 76,300, lr:(7.500e-05,)] [eta: 9:47:03, time (data): 0.693 (0.000)] l1_latent_opt: 8.4831e-01 l1_pixel_opt: 8.7586e-02 fft_latent_opt: 6.4068e-01 +2025-10-30 04:56:38,051 INFO: [27..][epoch: 2, step: 76,400, lr:(7.500e-05,)] [eta: 9:45:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.4581e-01 l1_pixel_opt: 7.9281e-02 fft_latent_opt: 6.4049e-01 +2025-10-30 04:57:48,196 INFO: [27..][epoch: 2, step: 76,500, lr:(7.500e-05,)] [eta: 9:44:35, time (data): 0.700 (0.000)] l1_latent_opt: 8.5359e-01 l1_pixel_opt: 9.1743e-02 fft_latent_opt: 6.4636e-01 +2025-10-30 04:58:57,894 INFO: [27..][epoch: 2, step: 76,600, lr:(7.500e-05,)] [eta: 9:43:22, time (data): 0.693 (0.000)] l1_latent_opt: 8.4864e-01 l1_pixel_opt: 8.5246e-02 fft_latent_opt: 6.4369e-01 +2025-10-30 05:00:07,277 INFO: [27..][epoch: 2, step: 76,700, lr:(7.500e-05,)] [eta: 9:42:07, time (data): 0.694 (0.000)] l1_latent_opt: 8.4912e-01 l1_pixel_opt: 8.3876e-02 fft_latent_opt: 6.4038e-01 +2025-10-30 05:01:16,733 INFO: [27..][epoch: 2, step: 76,800, lr:(7.500e-05,)] [eta: 9:40:53, time (data): 0.698 (0.000)] l1_latent_opt: 8.5840e-01 l1_pixel_opt: 9.5053e-02 fft_latent_opt: 6.4916e-01 +2025-10-30 05:02:26,331 INFO: [27..][epoch: 2, step: 76,900, lr:(7.500e-05,)] [eta: 9:39:39, time (data): 0.696 (0.000)] l1_latent_opt: 8.5249e-01 l1_pixel_opt: 8.5739e-02 fft_latent_opt: 6.4985e-01 +2025-10-30 05:03:35,772 INFO: [27..][epoch: 2, step: 77,000, lr:(7.500e-05,)] [eta: 9:38:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.4569e-01 l1_pixel_opt: 7.9495e-02 fft_latent_opt: 6.3958e-01 +2025-10-30 05:04:45,148 INFO: [27..][epoch: 2, step: 77,100, lr:(7.500e-05,)] [eta: 9:37:11, time (data): 0.694 (0.000)] l1_latent_opt: 8.4217e-01 l1_pixel_opt: 7.8805e-02 fft_latent_opt: 6.5037e-01 +2025-10-30 05:05:54,503 INFO: [27..][epoch: 2, step: 77,200, lr:(7.500e-05,)] [eta: 9:35:57, time (data): 0.694 (0.000)] l1_latent_opt: 8.4028e-01 l1_pixel_opt: 8.0630e-02 fft_latent_opt: 6.3851e-01 +2025-10-30 05:07:03,872 INFO: [27..][epoch: 2, step: 77,300, lr:(7.500e-05,)] [eta: 9:34:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.4521e-01 l1_pixel_opt: 8.4235e-02 fft_latent_opt: 6.5060e-01 +2025-10-30 05:08:13,235 INFO: [27..][epoch: 2, step: 77,400, lr:(7.500e-05,)] [eta: 9:33:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.5136e-01 l1_pixel_opt: 8.3645e-02 fft_latent_opt: 6.4461e-01 +2025-10-30 05:09:22,925 INFO: [27..][epoch: 2, step: 77,500, lr:(7.500e-05,)] [eta: 9:32:15, time (data): 0.696 (0.000)] l1_latent_opt: 8.4656e-01 l1_pixel_opt: 8.3708e-02 fft_latent_opt: 6.3990e-01 +2025-10-30 05:10:33,036 INFO: [27..][epoch: 2, step: 77,600, lr:(7.500e-05,)] [eta: 9:31:01, time (data): 0.712 (0.000)] l1_latent_opt: 8.4301e-01 l1_pixel_opt: 7.7892e-02 fft_latent_opt: 6.3646e-01 +2025-10-30 05:11:43,546 INFO: [27..][epoch: 2, step: 77,700, lr:(7.500e-05,)] [eta: 9:29:48, time (data): 0.706 (0.000)] l1_latent_opt: 8.4692e-01 l1_pixel_opt: 8.6514e-02 fft_latent_opt: 6.4262e-01 +2025-10-30 05:12:53,156 INFO: [27..][epoch: 2, step: 77,800, lr:(7.500e-05,)] [eta: 9:28:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.4248e-01 l1_pixel_opt: 7.5884e-02 fft_latent_opt: 6.4504e-01 +2025-10-30 05:14:02,533 INFO: [27..][epoch: 2, step: 77,900, lr:(7.500e-05,)] [eta: 9:27:20, time (data): 0.694 (0.000)] l1_latent_opt: 8.5667e-01 l1_pixel_opt: 8.9102e-02 fft_latent_opt: 6.5274e-01 +2025-10-30 05:15:11,945 INFO: [27..][epoch: 2, step: 78,000, lr:(7.500e-05,)] [eta: 9:26:06, time (data): 0.695 (0.000)] l1_latent_opt: 8.4905e-01 l1_pixel_opt: 8.2131e-02 fft_latent_opt: 6.4504e-01 +2025-10-30 05:16:21,307 INFO: [27..][epoch: 2, step: 78,100, lr:(7.500e-05,)] [eta: 9:24:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.4984e-01 l1_pixel_opt: 8.2527e-02 fft_latent_opt: 6.4582e-01 +2025-10-30 05:17:30,827 INFO: [27..][epoch: 2, step: 78,200, lr:(7.500e-05,)] [eta: 9:23:38, time (data): 0.692 (0.000)] l1_latent_opt: 8.4537e-01 l1_pixel_opt: 9.1131e-02 fft_latent_opt: 6.3750e-01 +2025-10-30 05:18:40,128 INFO: [27..][epoch: 2, step: 78,300, lr:(7.500e-05,)] [eta: 9:22:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5060e-01 l1_pixel_opt: 8.0853e-02 fft_latent_opt: 6.4248e-01 +2025-10-30 05:19:56,725 INFO: [27..][epoch: 2, step: 78,400, lr:(7.500e-05,)] [eta: 9:21:14, time (data): 0.701 (0.000)] l1_latent_opt: 8.4056e-01 l1_pixel_opt: 7.7257e-02 fft_latent_opt: 6.4291e-01 +2025-10-30 05:21:06,158 INFO: [27..][epoch: 2, step: 78,500, lr:(7.500e-05,)] [eta: 9:20:00, time (data): 0.695 (0.000)] l1_latent_opt: 8.5595e-01 l1_pixel_opt: 7.9708e-02 fft_latent_opt: 6.3679e-01 +2025-10-30 05:22:15,471 INFO: [27..][epoch: 2, step: 78,600, lr:(7.500e-05,)] [eta: 9:18:46, time (data): 0.694 (0.000)] l1_latent_opt: 8.4878e-01 l1_pixel_opt: 8.2218e-02 fft_latent_opt: 6.4866e-01 +2025-10-30 05:23:24,756 INFO: [27..][epoch: 2, step: 78,700, lr:(7.500e-05,)] [eta: 9:17:32, time (data): 0.693 (0.000)] l1_latent_opt: 8.4454e-01 l1_pixel_opt: 8.2248e-02 fft_latent_opt: 6.3823e-01 +2025-10-30 05:24:34,046 INFO: [27..][epoch: 2, step: 78,800, lr:(7.500e-05,)] [eta: 9:16:18, time (data): 0.692 (0.000)] l1_latent_opt: 8.3913e-01 l1_pixel_opt: 7.7977e-02 fft_latent_opt: 6.4313e-01 +2025-10-30 05:25:43,328 INFO: [27..][epoch: 2, step: 78,900, lr:(7.500e-05,)] [eta: 9:15:04, time (data): 0.693 (0.000)] l1_latent_opt: 8.4770e-01 l1_pixel_opt: 7.9837e-02 fft_latent_opt: 6.4949e-01 +2025-10-30 05:26:52,620 INFO: [27..][epoch: 2, step: 79,000, lr:(7.500e-05,)] [eta: 9:13:50, time (data): 0.694 (0.000)] l1_latent_opt: 8.4909e-01 l1_pixel_opt: 8.6302e-02 fft_latent_opt: 6.4497e-01 +2025-10-30 05:28:08,441 INFO: [27..][epoch: 2, step: 79,100, lr:(7.500e-05,)] [eta: 9:12:40, time (data): 0.754 (0.000)] l1_latent_opt: 8.5631e-01 l1_pixel_opt: 9.6392e-02 fft_latent_opt: 6.5184e-01 +2025-10-30 05:29:17,777 INFO: [27..][epoch: 2, step: 79,200, lr:(7.500e-05,)] [eta: 9:11:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.5174e-01 l1_pixel_opt: 8.4619e-02 fft_latent_opt: 6.4464e-01 +2025-10-30 05:30:27,128 INFO: [27..][epoch: 2, step: 79,300, lr:(7.500e-05,)] [eta: 9:10:12, time (data): 0.694 (0.000)] l1_latent_opt: 8.4403e-01 l1_pixel_opt: 8.3702e-02 fft_latent_opt: 6.4922e-01 +2025-10-30 05:31:42,934 INFO: [27..][epoch: 2, step: 79,400, lr:(7.500e-05,)] [eta: 9:09:02, time (data): 0.695 (0.000)] l1_latent_opt: 8.5046e-01 l1_pixel_opt: 8.1284e-02 fft_latent_opt: 6.4930e-01 +2025-10-30 05:32:52,288 INFO: [27..][epoch: 2, step: 79,500, lr:(7.500e-05,)] [eta: 9:07:48, time (data): 0.694 (0.000)] l1_latent_opt: 8.4476e-01 l1_pixel_opt: 7.9376e-02 fft_latent_opt: 6.4563e-01 +2025-10-30 05:34:01,434 INFO: [27..][epoch: 2, step: 79,600, lr:(7.500e-05,)] [eta: 9:06:34, time (data): 0.690 (0.000)] l1_latent_opt: 8.3959e-01 l1_pixel_opt: 7.3564e-02 fft_latent_opt: 6.4210e-01 +2025-10-30 05:35:10,474 INFO: [27..][epoch: 2, step: 79,700, lr:(7.500e-05,)] [eta: 9:05:20, time (data): 0.690 (0.000)] l1_latent_opt: 8.4419e-01 l1_pixel_opt: 8.6967e-02 fft_latent_opt: 6.4699e-01 +2025-10-30 05:36:19,655 INFO: [27..][epoch: 2, step: 79,800, lr:(7.500e-05,)] [eta: 9:04:06, time (data): 0.696 (0.000)] l1_latent_opt: 8.5066e-01 l1_pixel_opt: 8.6850e-02 fft_latent_opt: 6.5244e-01 +2025-10-30 05:37:29,059 INFO: [27..][epoch: 2, step: 79,900, lr:(7.500e-05,)] [eta: 9:02:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.4934e-01 l1_pixel_opt: 8.3704e-02 fft_latent_opt: 6.4024e-01 +2025-10-30 05:38:38,416 INFO: [27..][epoch: 2, step: 80,000, lr:(7.500e-05,)] [eta: 9:01:39, time (data): 0.692 (0.000)] l1_latent_opt: 8.4606e-01 l1_pixel_opt: 8.1412e-02 fft_latent_opt: 6.4840e-01 +2025-10-30 05:38:38,418 INFO: Saving models and training states. +2025-10-30 05:40:45,360 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8919 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2786 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1728 Best: 27.1728 @ 80000 iter + +2025-10-30 05:41:54,707 INFO: [27..][epoch: 2, step: 80,100, lr:(7.500e-05,)] [eta: 9:01:36, time (data): 0.693 (0.000)] l1_latent_opt: 8.4904e-01 l1_pixel_opt: 8.2997e-02 fft_latent_opt: 6.4980e-01 +2025-10-30 05:43:03,958 INFO: [27..][epoch: 2, step: 80,200, lr:(7.500e-05,)] [eta: 9:00:22, time (data): 0.696 (0.000)] l1_latent_opt: 8.4950e-01 l1_pixel_opt: 8.2460e-02 fft_latent_opt: 6.4629e-01 +2025-10-30 05:44:13,218 INFO: [27..][epoch: 2, step: 80,300, lr:(7.500e-05,)] [eta: 8:59:08, time (data): 0.693 (0.000)] l1_latent_opt: 8.4667e-01 l1_pixel_opt: 8.2732e-02 fft_latent_opt: 6.4474e-01 +2025-10-30 05:45:22,607 INFO: [27..][epoch: 2, step: 80,400, lr:(7.500e-05,)] [eta: 8:57:54, time (data): 0.693 (0.000)] l1_latent_opt: 8.4408e-01 l1_pixel_opt: 8.0312e-02 fft_latent_opt: 6.4988e-01 +2025-10-30 05:46:32,029 INFO: [27..][epoch: 2, step: 80,500, lr:(7.500e-05,)] [eta: 8:56:40, time (data): 0.694 (0.000)] l1_latent_opt: 8.4908e-01 l1_pixel_opt: 8.5907e-02 fft_latent_opt: 6.4370e-01 +2025-10-30 05:47:49,291 INFO: [27..][epoch: 2, step: 80,600, lr:(7.500e-05,)] [eta: 8:55:30, time (data): 0.733 (0.000)] l1_latent_opt: 8.4852e-01 l1_pixel_opt: 8.1855e-02 fft_latent_opt: 6.5042e-01 +2025-10-30 05:48:59,053 INFO: [27..][epoch: 2, step: 80,700, lr:(7.500e-05,)] [eta: 8:54:16, time (data): 0.698 (0.000)] l1_latent_opt: 8.4457e-01 l1_pixel_opt: 8.1823e-02 fft_latent_opt: 6.4414e-01 +2025-10-30 05:50:08,449 INFO: [27..][epoch: 2, step: 80,800, lr:(7.500e-05,)] [eta: 8:53:02, time (data): 0.696 (0.000)] l1_latent_opt: 8.4290e-01 l1_pixel_opt: 7.8712e-02 fft_latent_opt: 6.4118e-01 +2025-10-30 05:51:17,753 INFO: [27..][epoch: 2, step: 80,900, lr:(7.500e-05,)] [eta: 8:51:48, time (data): 0.693 (0.000)] l1_latent_opt: 8.5458e-01 l1_pixel_opt: 8.4124e-02 fft_latent_opt: 6.4047e-01 +2025-10-30 05:52:27,083 INFO: [27..][epoch: 2, step: 81,000, lr:(7.500e-05,)] [eta: 8:50:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.4002e-01 l1_pixel_opt: 7.4025e-02 fft_latent_opt: 6.4547e-01 +2025-10-30 05:53:36,411 INFO: [27..][epoch: 2, step: 81,100, lr:(7.500e-05,)] [eta: 8:49:20, time (data): 0.693 (0.000)] l1_latent_opt: 8.4243e-01 l1_pixel_opt: 8.1063e-02 fft_latent_opt: 6.4430e-01 +2025-10-30 05:54:45,745 INFO: [27..][epoch: 2, step: 81,200, lr:(7.500e-05,)] [eta: 8:48:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.5406e-01 l1_pixel_opt: 8.6634e-02 fft_latent_opt: 6.5255e-01 +2025-10-30 05:55:55,193 INFO: [27..][epoch: 2, step: 81,300, lr:(7.500e-05,)] [eta: 8:46:52, time (data): 0.695 (0.000)] l1_latent_opt: 8.4671e-01 l1_pixel_opt: 8.0184e-02 fft_latent_opt: 6.3976e-01 +2025-10-30 05:57:04,571 INFO: [27..][epoch: 2, step: 81,400, lr:(7.500e-05,)] [eta: 8:45:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.4748e-01 l1_pixel_opt: 8.4799e-02 fft_latent_opt: 6.4519e-01 +2025-10-30 05:58:13,937 INFO: [27..][epoch: 2, step: 81,500, lr:(7.500e-05,)] [eta: 8:44:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.4884e-01 l1_pixel_opt: 8.6927e-02 fft_latent_opt: 6.4045e-01 +2025-10-30 05:59:23,281 INFO: [27..][epoch: 2, step: 81,600, lr:(7.500e-05,)] [eta: 8:43:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.4250e-01 l1_pixel_opt: 6.4056e-02 fft_latent_opt: 6.3755e-01 +2025-10-30 06:00:32,598 INFO: [27..][epoch: 2, step: 81,700, lr:(7.500e-05,)] [eta: 8:41:57, time (data): 0.693 (0.000)] l1_latent_opt: 8.5182e-01 l1_pixel_opt: 8.1744e-02 fft_latent_opt: 6.4052e-01 +2025-10-30 06:01:41,971 INFO: [27..][epoch: 2, step: 81,800, lr:(7.500e-05,)] [eta: 8:40:43, time (data): 0.693 (0.000)] l1_latent_opt: 8.5094e-01 l1_pixel_opt: 8.0230e-02 fft_latent_opt: 6.4436e-01 +2025-10-30 06:02:51,320 INFO: [27..][epoch: 2, step: 81,900, lr:(7.500e-05,)] [eta: 8:39:29, time (data): 0.693 (0.000)] l1_latent_opt: 8.4330e-01 l1_pixel_opt: 8.3547e-02 fft_latent_opt: 6.4190e-01 +2025-10-30 06:04:00,642 INFO: [27..][epoch: 2, step: 82,000, lr:(7.500e-05,)] [eta: 8:38:15, time (data): 0.693 (0.000)] l1_latent_opt: 8.4312e-01 l1_pixel_opt: 8.1328e-02 fft_latent_opt: 6.4742e-01 +2025-10-30 06:05:10,144 INFO: [27..][epoch: 2, step: 82,100, lr:(7.500e-05,)] [eta: 8:37:01, time (data): 0.695 (0.000)] l1_latent_opt: 8.5445e-01 l1_pixel_opt: 8.6720e-02 fft_latent_opt: 6.4528e-01 +2025-10-30 06:06:19,604 INFO: [27..][epoch: 2, step: 82,200, lr:(7.500e-05,)] [eta: 8:35:47, time (data): 0.695 (0.000)] l1_latent_opt: 8.3892e-01 l1_pixel_opt: 7.9177e-02 fft_latent_opt: 6.4510e-01 +2025-10-30 06:07:28,956 INFO: [27..][epoch: 2, step: 82,300, lr:(7.500e-05,)] [eta: 8:34:33, time (data): 0.693 (0.000)] l1_latent_opt: 8.4256e-01 l1_pixel_opt: 7.5931e-02 fft_latent_opt: 6.3815e-01 +2025-10-30 06:08:38,404 INFO: [27..][epoch: 2, step: 82,400, lr:(7.500e-05,)] [eta: 8:33:20, time (data): 0.694 (0.000)] l1_latent_opt: 8.5161e-01 l1_pixel_opt: 9.3222e-02 fft_latent_opt: 6.4269e-01 +2025-10-30 06:09:47,879 INFO: [27..][epoch: 2, step: 82,500, lr:(7.500e-05,)] [eta: 8:32:06, time (data): 0.695 (0.000)] l1_latent_opt: 8.4880e-01 l1_pixel_opt: 8.7744e-02 fft_latent_opt: 6.4995e-01 +2025-10-30 06:10:57,784 INFO: [27..][epoch: 2, step: 82,600, lr:(7.500e-05,)] [eta: 8:30:52, time (data): 0.697 (0.000)] l1_latent_opt: 8.5039e-01 l1_pixel_opt: 7.9063e-02 fft_latent_opt: 6.4576e-01 +2025-10-30 06:12:07,295 INFO: [27..][epoch: 2, step: 82,700, lr:(7.500e-05,)] [eta: 8:29:39, time (data): 0.695 (0.000)] l1_latent_opt: 8.3922e-01 l1_pixel_opt: 7.5199e-02 fft_latent_opt: 6.4250e-01 +2025-10-30 06:13:16,622 INFO: [27..][epoch: 2, step: 82,800, lr:(7.500e-05,)] [eta: 8:28:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.4888e-01 l1_pixel_opt: 8.1909e-02 fft_latent_opt: 6.4144e-01 +2025-10-30 06:14:25,967 INFO: [27..][epoch: 2, step: 82,900, lr:(7.500e-05,)] [eta: 8:27:11, time (data): 0.693 (0.000)] l1_latent_opt: 8.4556e-01 l1_pixel_opt: 8.5303e-02 fft_latent_opt: 6.3987e-01 +2025-10-30 06:15:35,328 INFO: [27..][epoch: 2, step: 83,000, lr:(7.500e-05,)] [eta: 8:25:57, time (data): 0.694 (0.000)] l1_latent_opt: 8.4396e-01 l1_pixel_opt: 8.0944e-02 fft_latent_opt: 6.3853e-01 +2025-10-30 06:16:45,068 INFO: [27..][epoch: 2, step: 83,100, lr:(7.500e-05,)] [eta: 8:24:44, time (data): 0.698 (0.000)] l1_latent_opt: 8.5103e-01 l1_pixel_opt: 8.5994e-02 fft_latent_opt: 6.4476e-01 +2025-10-30 06:17:54,442 INFO: [27..][epoch: 2, step: 83,200, lr:(7.500e-05,)] [eta: 8:23:30, time (data): 0.696 (0.000)] l1_latent_opt: 8.4558e-01 l1_pixel_opt: 8.8268e-02 fft_latent_opt: 6.3936e-01 +2025-10-30 06:19:03,860 INFO: [27..][epoch: 2, step: 83,300, lr:(7.500e-05,)] [eta: 8:22:16, time (data): 0.694 (0.000)] l1_latent_opt: 8.4594e-01 l1_pixel_opt: 8.4939e-02 fft_latent_opt: 6.3992e-01 +2025-10-30 06:20:13,215 INFO: [27..][epoch: 2, step: 83,400, lr:(7.500e-05,)] [eta: 8:21:03, time (data): 0.694 (0.000)] l1_latent_opt: 8.5217e-01 l1_pixel_opt: 8.0110e-02 fft_latent_opt: 6.4264e-01 +2025-10-30 06:21:22,485 INFO: [27..][epoch: 2, step: 83,500, lr:(7.500e-05,)] [eta: 8:19:49, time (data): 0.693 (0.000)] l1_latent_opt: 8.5080e-01 l1_pixel_opt: 8.9567e-02 fft_latent_opt: 6.4133e-01 +2025-10-30 06:22:31,917 INFO: [27..][epoch: 2, step: 83,600, lr:(7.500e-05,)] [eta: 8:18:35, time (data): 0.694 (0.000)] l1_latent_opt: 8.4739e-01 l1_pixel_opt: 7.7538e-02 fft_latent_opt: 6.4403e-01 +2025-10-30 06:23:41,454 INFO: [27..][epoch: 2, step: 83,700, lr:(7.500e-05,)] [eta: 8:17:22, time (data): 0.695 (0.000)] l1_latent_opt: 8.3895e-01 l1_pixel_opt: 7.3405e-02 fft_latent_opt: 6.4998e-01 +2025-10-30 06:24:50,999 INFO: [27..][epoch: 2, step: 83,800, lr:(7.500e-05,)] [eta: 8:16:08, time (data): 0.695 (0.000)] l1_latent_opt: 8.4121e-01 l1_pixel_opt: 7.3553e-02 fft_latent_opt: 6.3518e-01 +2025-10-30 06:26:00,414 INFO: [27..][epoch: 2, step: 83,900, lr:(7.500e-05,)] [eta: 8:14:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.4253e-01 l1_pixel_opt: 7.7769e-02 fft_latent_opt: 6.4389e-01 +2025-10-30 06:27:09,818 INFO: [27..][epoch: 2, step: 84,000, lr:(7.500e-05,)] [eta: 8:13:41, time (data): 0.694 (0.000)] l1_latent_opt: 8.4860e-01 l1_pixel_opt: 8.5149e-02 fft_latent_opt: 6.4692e-01 +2025-10-30 06:28:19,228 INFO: [27..][epoch: 2, step: 84,100, lr:(7.500e-05,)] [eta: 8:12:27, time (data): 0.694 (0.000)] l1_latent_opt: 8.3913e-01 l1_pixel_opt: 7.6603e-02 fft_latent_opt: 6.4352e-01 +2025-10-30 06:29:28,606 INFO: [27..][epoch: 2, step: 84,200, lr:(7.500e-05,)] [eta: 8:11:13, time (data): 0.694 (0.000)] l1_latent_opt: 8.4288e-01 l1_pixel_opt: 7.8420e-02 fft_latent_opt: 6.4583e-01 +2025-10-30 06:30:38,033 INFO: [27..][epoch: 2, step: 84,300, lr:(7.500e-05,)] [eta: 8:10:00, time (data): 0.694 (0.000)] l1_latent_opt: 8.4722e-01 l1_pixel_opt: 8.3704e-02 fft_latent_opt: 6.4865e-01 +2025-10-30 06:31:47,452 INFO: [27..][epoch: 2, step: 84,400, lr:(7.500e-05,)] [eta: 8:08:46, time (data): 0.694 (0.000)] l1_latent_opt: 8.3981e-01 l1_pixel_opt: 7.5662e-02 fft_latent_opt: 6.4516e-01 +2025-10-30 06:32:57,029 INFO: [27..][epoch: 2, step: 84,500, lr:(7.500e-05,)] [eta: 8:07:33, time (data): 0.696 (0.000)] l1_latent_opt: 8.4919e-01 l1_pixel_opt: 7.7201e-02 fft_latent_opt: 6.4400e-01 +2025-10-30 06:34:06,736 INFO: [27..][epoch: 2, step: 84,600, lr:(7.500e-05,)] [eta: 8:06:19, time (data): 0.697 (0.000)] l1_latent_opt: 8.5276e-01 l1_pixel_opt: 9.3460e-02 fft_latent_opt: 6.5066e-01 +2025-10-30 06:35:16,280 INFO: [27..][epoch: 2, step: 84,700, lr:(7.500e-05,)] [eta: 8:05:06, time (data): 0.696 (0.000)] l1_latent_opt: 8.4268e-01 l1_pixel_opt: 8.0221e-02 fft_latent_opt: 6.4763e-01 +2025-10-30 06:36:25,738 INFO: [27..][epoch: 2, step: 84,800, lr:(7.500e-05,)] [eta: 8:03:52, time (data): 0.695 (0.000)] l1_latent_opt: 8.4581e-01 l1_pixel_opt: 8.5625e-02 fft_latent_opt: 6.4283e-01 +2025-10-30 06:37:35,176 INFO: [27..][epoch: 2, step: 84,900, lr:(7.500e-05,)] [eta: 8:02:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.4513e-01 l1_pixel_opt: 7.5479e-02 fft_latent_opt: 6.3937e-01 +2025-10-30 06:38:44,582 INFO: [27..][epoch: 2, step: 85,000, lr:(7.500e-05,)] [eta: 8:01:25, time (data): 0.694 (0.000)] l1_latent_opt: 8.4722e-01 l1_pixel_opt: 8.6784e-02 fft_latent_opt: 6.4659e-01 +2025-10-30 06:38:44,584 INFO: Saving models and training states. +2025-10-30 06:41:00,235 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8923 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2793 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1614 Best: 27.1728 @ 80000 iter + +2025-10-30 06:42:10,025 INFO: [27..][epoch: 2, step: 85,100, lr:(7.500e-05,)] [eta: 8:01:15, time (data): 0.695 (0.000)] l1_latent_opt: 8.3699e-01 l1_pixel_opt: 6.9947e-02 fft_latent_opt: 6.4733e-01 +2025-10-30 06:43:19,213 INFO: [27..][epoch: 2, step: 85,200, lr:(7.500e-05,)] [eta: 8:00:02, time (data): 0.693 (0.000)] l1_latent_opt: 8.4968e-01 l1_pixel_opt: 8.6921e-02 fft_latent_opt: 6.4164e-01 +2025-10-30 06:44:28,702 INFO: [27..][epoch: 2, step: 85,300, lr:(7.500e-05,)] [eta: 7:58:48, time (data): 0.696 (0.000)] l1_latent_opt: 8.4975e-01 l1_pixel_opt: 9.1792e-02 fft_latent_opt: 6.4366e-01 +2025-10-30 06:45:37,954 INFO: [27..][epoch: 2, step: 85,400, lr:(7.500e-05,)] [eta: 7:57:34, time (data): 0.694 (0.000)] l1_latent_opt: 8.4375e-01 l1_pixel_opt: 8.1147e-02 fft_latent_opt: 6.4934e-01 +2025-10-30 06:46:47,179 INFO: [27..][epoch: 2, step: 85,500, lr:(7.500e-05,)] [eta: 7:56:20, time (data): 0.692 (0.000)] l1_latent_opt: 8.5350e-01 l1_pixel_opt: 8.2908e-02 fft_latent_opt: 6.4291e-01 +2025-10-30 06:47:56,440 INFO: [27..][epoch: 2, step: 85,600, lr:(7.500e-05,)] [eta: 7:55:06, time (data): 0.692 (0.000)] l1_latent_opt: 8.4390e-01 l1_pixel_opt: 7.7870e-02 fft_latent_opt: 6.3875e-01 +2025-10-30 06:49:05,679 INFO: [27..][epoch: 2, step: 85,700, lr:(7.500e-05,)] [eta: 7:53:53, time (data): 0.692 (0.000)] l1_latent_opt: 8.4055e-01 l1_pixel_opt: 7.6363e-02 fft_latent_opt: 6.3743e-01 +2025-10-30 06:50:14,932 INFO: [27..][epoch: 2, step: 85,800, lr:(7.500e-05,)] [eta: 7:52:39, time (data): 0.692 (0.000)] l1_latent_opt: 8.4953e-01 l1_pixel_opt: 8.4340e-02 fft_latent_opt: 6.5284e-01 +2025-10-30 06:51:24,143 INFO: [27..][epoch: 2, step: 85,900, lr:(7.500e-05,)] [eta: 7:51:25, time (data): 0.692 (0.000)] l1_latent_opt: 8.4876e-01 l1_pixel_opt: 8.5312e-02 fft_latent_opt: 6.5224e-01 +2025-10-30 06:52:33,379 INFO: [27..][epoch: 2, step: 86,000, lr:(7.500e-05,)] [eta: 7:50:11, time (data): 0.692 (0.000)] l1_latent_opt: 8.5402e-01 l1_pixel_opt: 9.1045e-02 fft_latent_opt: 6.4913e-01 +2025-10-30 06:53:50,883 INFO: [27..][epoch: 2, step: 86,100, lr:(7.500e-05,)] [eta: 7:49:01, time (data): 0.807 (0.000)] l1_latent_opt: 8.4799e-01 l1_pixel_opt: 8.4902e-02 fft_latent_opt: 6.4978e-01 +2025-10-30 06:55:00,173 INFO: [27..][epoch: 2, step: 86,200, lr:(7.500e-05,)] [eta: 7:47:48, time (data): 0.741 (0.000)] l1_latent_opt: 8.4017e-01 l1_pixel_opt: 8.1878e-02 fft_latent_opt: 6.4513e-01 +2025-10-30 06:56:09,422 INFO: [27..][epoch: 2, step: 86,300, lr:(7.500e-05,)] [eta: 7:46:34, time (data): 0.692 (0.000)] l1_latent_opt: 8.4798e-01 l1_pixel_opt: 7.7270e-02 fft_latent_opt: 6.4718e-01 +2025-10-30 06:57:21,751 INFO: [27..][epoch: 2, step: 86,400, lr:(7.500e-05,)] [eta: 7:45:22, time (data): 0.710 (0.000)] l1_latent_opt: 8.4049e-01 l1_pixel_opt: 7.5745e-02 fft_latent_opt: 6.3931e-01 +2025-10-30 06:58:31,055 INFO: [27..][epoch: 2, step: 86,500, lr:(7.500e-05,)] [eta: 7:44:08, time (data): 0.693 (0.000)] l1_latent_opt: 8.5245e-01 l1_pixel_opt: 8.5992e-02 fft_latent_opt: 6.4789e-01 +2025-10-30 06:59:45,346 INFO: [27..][epoch: 2, step: 86,600, lr:(7.500e-05,)] [eta: 7:42:56, time (data): 0.722 (0.000)] l1_latent_opt: 8.4410e-01 l1_pixel_opt: 7.6031e-02 fft_latent_opt: 6.4019e-01 +2025-10-30 07:00:54,697 INFO: [27..][epoch: 2, step: 86,700, lr:(7.500e-05,)] [eta: 7:41:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.5074e-01 l1_pixel_opt: 9.5435e-02 fft_latent_opt: 6.4144e-01 +2025-10-30 07:02:04,048 INFO: [27..][epoch: 2, step: 86,800, lr:(7.500e-05,)] [eta: 7:40:29, time (data): 0.694 (0.000)] l1_latent_opt: 8.4363e-01 l1_pixel_opt: 8.2717e-02 fft_latent_opt: 6.4702e-01 +2025-10-30 07:03:13,710 INFO: [27..][epoch: 2, step: 86,900, lr:(7.500e-05,)] [eta: 7:39:16, time (data): 0.697 (0.000)] l1_latent_opt: 8.3639e-01 l1_pixel_opt: 7.6936e-02 fft_latent_opt: 6.4188e-01 +2025-10-30 07:04:24,639 INFO: [27..][epoch: 2, step: 87,000, lr:(7.500e-05,)] [eta: 7:38:03, time (data): 0.704 (0.000)] l1_latent_opt: 8.4227e-01 l1_pixel_opt: 8.3358e-02 fft_latent_opt: 6.3940e-01 +2025-10-30 07:05:33,666 INFO: [27..][epoch: 2, step: 87,100, lr:(7.500e-05,)] [eta: 7:36:49, time (data): 0.690 (0.000)] l1_latent_opt: 8.4576e-01 l1_pixel_opt: 7.8141e-02 fft_latent_opt: 6.4677e-01 +2025-10-30 07:06:43,120 INFO: [27..][epoch: 2, step: 87,200, lr:(7.500e-05,)] [eta: 7:35:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.4408e-01 l1_pixel_opt: 8.5388e-02 fft_latent_opt: 6.4068e-01 +2025-10-30 07:07:52,813 INFO: [27..][epoch: 2, step: 87,300, lr:(7.500e-05,)] [eta: 7:34:22, time (data): 0.699 (0.000)] l1_latent_opt: 8.4939e-01 l1_pixel_opt: 8.6007e-02 fft_latent_opt: 6.4428e-01 +2025-10-30 07:09:02,088 INFO: [27..][epoch: 2, step: 87,400, lr:(7.500e-05,)] [eta: 7:33:08, time (data): 0.695 (0.000)] l1_latent_opt: 8.4625e-01 l1_pixel_opt: 8.1709e-02 fft_latent_opt: 6.4632e-01 +2025-10-30 07:10:11,585 INFO: [27..][epoch: 2, step: 87,500, lr:(7.500e-05,)] [eta: 7:31:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.5313e-01 l1_pixel_opt: 9.0186e-02 fft_latent_opt: 6.4609e-01 +2025-10-30 07:11:20,883 INFO: [27..][epoch: 2, step: 87,600, lr:(7.500e-05,)] [eta: 7:30:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.4811e-01 l1_pixel_opt: 8.5331e-02 fft_latent_opt: 6.4241e-01 +2025-10-30 07:12:30,371 INFO: [27..][epoch: 2, step: 87,700, lr:(7.500e-05,)] [eta: 7:29:28, time (data): 0.695 (0.000)] l1_latent_opt: 8.5109e-01 l1_pixel_opt: 8.2750e-02 fft_latent_opt: 6.3720e-01 +2025-10-30 07:13:39,763 INFO: [27..][epoch: 2, step: 87,800, lr:(7.500e-05,)] [eta: 7:28:14, time (data): 0.694 (0.000)] l1_latent_opt: 8.4315e-01 l1_pixel_opt: 8.4072e-02 fft_latent_opt: 6.4378e-01 +2025-10-30 07:14:49,075 INFO: [27..][epoch: 2, step: 87,900, lr:(7.500e-05,)] [eta: 7:27:01, time (data): 0.693 (0.000)] l1_latent_opt: 8.3622e-01 l1_pixel_opt: 7.5406e-02 fft_latent_opt: 6.4064e-01 +2025-10-30 07:15:58,510 INFO: [27..][epoch: 2, step: 88,000, lr:(7.500e-05,)] [eta: 7:25:47, time (data): 0.694 (0.000)] l1_latent_opt: 8.4613e-01 l1_pixel_opt: 8.7365e-02 fft_latent_opt: 6.4719e-01 +2025-10-30 07:17:07,841 INFO: [27..][epoch: 2, step: 88,100, lr:(7.500e-05,)] [eta: 7:24:34, time (data): 0.693 (0.000)] l1_latent_opt: 8.4628e-01 l1_pixel_opt: 8.5792e-02 fft_latent_opt: 6.4167e-01 +2025-10-30 07:18:17,214 INFO: [27..][epoch: 2, step: 88,200, lr:(7.500e-05,)] [eta: 7:23:20, time (data): 0.693 (0.000)] l1_latent_opt: 8.4771e-01 l1_pixel_opt: 7.5649e-02 fft_latent_opt: 6.4572e-01 +2025-10-30 07:19:26,482 INFO: [27..][epoch: 2, step: 88,300, lr:(7.500e-05,)] [eta: 7:22:06, time (data): 0.693 (0.000)] l1_latent_opt: 8.4279e-01 l1_pixel_opt: 8.0181e-02 fft_latent_opt: 6.3589e-01 +2025-10-30 07:20:35,752 INFO: [27..][epoch: 2, step: 88,400, lr:(7.500e-05,)] [eta: 7:20:53, time (data): 0.693 (0.000)] l1_latent_opt: 8.4055e-01 l1_pixel_opt: 7.5541e-02 fft_latent_opt: 6.3919e-01 +2025-10-30 07:21:45,118 INFO: [27..][epoch: 2, step: 88,500, lr:(7.500e-05,)] [eta: 7:19:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.4151e-01 l1_pixel_opt: 8.1199e-02 fft_latent_opt: 6.4602e-01 +2025-10-30 07:22:54,488 INFO: [27..][epoch: 2, step: 88,600, lr:(7.500e-05,)] [eta: 7:18:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.3875e-01 l1_pixel_opt: 7.3465e-02 fft_latent_opt: 6.3865e-01 +2025-10-30 07:24:03,929 INFO: [27..][epoch: 2, step: 88,700, lr:(7.500e-05,)] [eta: 7:17:13, time (data): 0.693 (0.000)] l1_latent_opt: 8.4927e-01 l1_pixel_opt: 8.1476e-02 fft_latent_opt: 6.4378e-01 +2025-10-30 07:25:13,436 INFO: [27..][epoch: 2, step: 88,800, lr:(7.500e-05,)] [eta: 7:15:59, time (data): 0.694 (0.000)] l1_latent_opt: 8.3654e-01 l1_pixel_opt: 8.0871e-02 fft_latent_opt: 6.4006e-01 +2025-10-30 07:26:22,899 INFO: [27..][epoch: 2, step: 88,900, lr:(7.500e-05,)] [eta: 7:14:46, time (data): 0.694 (0.000)] l1_latent_opt: 8.3717e-01 l1_pixel_opt: 7.3428e-02 fft_latent_opt: 6.4445e-01 +2025-10-30 07:27:32,283 INFO: [27..][epoch: 2, step: 89,000, lr:(7.500e-05,)] [eta: 7:13:32, time (data): 0.694 (0.000)] l1_latent_opt: 8.4036e-01 l1_pixel_opt: 7.3484e-02 fft_latent_opt: 6.4401e-01 +2025-10-30 07:28:41,778 INFO: [27..][epoch: 2, step: 89,100, lr:(7.500e-05,)] [eta: 7:12:19, time (data): 0.696 (0.000)] l1_latent_opt: 8.5232e-01 l1_pixel_opt: 8.9540e-02 fft_latent_opt: 6.4598e-01 +2025-10-30 07:29:51,188 INFO: [27..][epoch: 2, step: 89,200, lr:(7.500e-05,)] [eta: 7:11:06, time (data): 0.695 (0.000)] l1_latent_opt: 8.4959e-01 l1_pixel_opt: 8.5627e-02 fft_latent_opt: 6.4940e-01 +2025-10-30 07:31:00,702 INFO: [27..][epoch: 2, step: 89,300, lr:(7.500e-05,)] [eta: 7:09:52, time (data): 0.697 (0.000)] l1_latent_opt: 8.4768e-01 l1_pixel_opt: 8.7866e-02 fft_latent_opt: 6.4586e-01 +2025-10-30 07:32:10,822 INFO: [27..][epoch: 2, step: 89,400, lr:(7.500e-05,)] [eta: 7:08:39, time (data): 0.700 (0.000)] l1_latent_opt: 8.4290e-01 l1_pixel_opt: 7.8477e-02 fft_latent_opt: 6.5047e-01 +2025-10-30 07:33:20,184 INFO: [27..][epoch: 2, step: 89,500, lr:(7.500e-05,)] [eta: 7:07:26, time (data): 0.693 (0.000)] l1_latent_opt: 8.4693e-01 l1_pixel_opt: 7.8272e-02 fft_latent_opt: 6.4667e-01 +2025-10-30 07:34:29,765 INFO: [27..][epoch: 2, step: 89,600, lr:(7.500e-05,)] [eta: 7:06:12, time (data): 0.695 (0.000)] l1_latent_opt: 8.4590e-01 l1_pixel_opt: 7.7236e-02 fft_latent_opt: 6.4938e-01 +2025-10-30 07:35:39,663 INFO: [27..][epoch: 2, step: 89,700, lr:(7.500e-05,)] [eta: 7:04:59, time (data): 0.703 (0.000)] l1_latent_opt: 8.5167e-01 l1_pixel_opt: 8.6003e-02 fft_latent_opt: 6.5464e-01 +2025-10-30 07:36:49,056 INFO: [27..][epoch: 2, step: 89,800, lr:(7.500e-05,)] [eta: 7:03:46, time (data): 0.697 (0.000)] l1_latent_opt: 8.4350e-01 l1_pixel_opt: 8.0210e-02 fft_latent_opt: 6.4437e-01 +2025-10-30 07:37:58,432 INFO: [27..][epoch: 2, step: 89,900, lr:(7.500e-05,)] [eta: 7:02:33, time (data): 0.694 (0.000)] l1_latent_opt: 8.4859e-01 l1_pixel_opt: 8.6796e-02 fft_latent_opt: 6.3792e-01 +2025-10-30 07:39:08,483 INFO: [27..][epoch: 2, step: 90,000, lr:(7.500e-05,)] [eta: 7:01:19, time (data): 0.698 (0.000)] l1_latent_opt: 8.5266e-01 l1_pixel_opt: 7.9164e-02 fft_latent_opt: 6.4345e-01 +2025-10-30 07:39:08,484 INFO: Saving models and training states. +2025-10-30 07:41:18,004 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8922 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2792 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1540 Best: 27.1728 @ 80000 iter + +2025-10-30 07:42:27,286 INFO: [27..][epoch: 2, step: 90,100, lr:(3.750e-05,)] [eta: 7:00:56, time (data): 0.691 (0.000)] l1_latent_opt: 8.4820e-01 l1_pixel_opt: 8.5019e-02 fft_latent_opt: 6.4491e-01 +2025-10-30 07:43:36,790 INFO: [27..][epoch: 2, step: 90,200, lr:(3.750e-05,)] [eta: 6:59:43, time (data): 0.694 (0.000)] l1_latent_opt: 8.4748e-01 l1_pixel_opt: 8.5698e-02 fft_latent_opt: 6.4245e-01 +2025-10-30 07:44:45,994 INFO: [27..][epoch: 2, step: 90,300, lr:(3.750e-05,)] [eta: 6:58:29, time (data): 0.692 (0.000)] l1_latent_opt: 8.5956e-01 l1_pixel_opt: 9.3812e-02 fft_latent_opt: 6.4875e-01 +2025-10-30 07:45:55,412 INFO: [27..][epoch: 2, step: 90,400, lr:(3.750e-05,)] [eta: 6:57:16, time (data): 0.693 (0.000)] l1_latent_opt: 8.5019e-01 l1_pixel_opt: 9.8350e-02 fft_latent_opt: 6.4513e-01 +2025-10-30 07:47:04,861 INFO: [27..][epoch: 2, step: 90,500, lr:(3.750e-05,)] [eta: 6:56:02, time (data): 0.692 (0.000)] l1_latent_opt: 8.5086e-01 l1_pixel_opt: 8.7088e-02 fft_latent_opt: 6.4698e-01 +2025-10-30 07:48:14,396 INFO: [27..][epoch: 2, step: 90,600, lr:(3.750e-05,)] [eta: 6:54:49, time (data): 0.694 (0.000)] l1_latent_opt: 8.4639e-01 l1_pixel_opt: 8.3673e-02 fft_latent_opt: 6.4878e-01 +2025-10-30 07:49:23,800 INFO: [27..][epoch: 2, step: 90,700, lr:(3.750e-05,)] [eta: 6:53:35, time (data): 0.690 (0.000)] l1_latent_opt: 8.3926e-01 l1_pixel_opt: 7.6179e-02 fft_latent_opt: 6.4341e-01 +2025-10-30 07:50:32,976 INFO: [27..][epoch: 2, step: 90,800, lr:(3.750e-05,)] [eta: 6:52:22, time (data): 0.691 (0.000)] l1_latent_opt: 8.4100e-01 l1_pixel_opt: 7.4691e-02 fft_latent_opt: 6.4110e-01 +2025-10-30 07:51:42,402 INFO: [27..][epoch: 2, step: 90,900, lr:(3.750e-05,)] [eta: 6:51:08, time (data): 0.693 (0.000)] l1_latent_opt: 8.4038e-01 l1_pixel_opt: 7.8789e-02 fft_latent_opt: 6.4099e-01 +2025-10-30 07:52:51,644 INFO: [27..][epoch: 2, step: 91,000, lr:(3.750e-05,)] [eta: 6:49:55, time (data): 0.693 (0.000)] l1_latent_opt: 8.4578e-01 l1_pixel_opt: 8.4914e-02 fft_latent_opt: 6.4416e-01 +2025-10-30 07:54:01,333 INFO: [27..][epoch: 2, step: 91,100, lr:(3.750e-05,)] [eta: 6:48:42, time (data): 0.697 (0.000)] l1_latent_opt: 8.4557e-01 l1_pixel_opt: 8.4734e-02 fft_latent_opt: 6.4412e-01 +2025-10-30 07:55:10,565 INFO: [27..][epoch: 2, step: 91,200, lr:(3.750e-05,)] [eta: 6:47:28, time (data): 0.694 (0.000)] l1_latent_opt: 8.4557e-01 l1_pixel_opt: 8.1965e-02 fft_latent_opt: 6.4684e-01 +2025-10-30 07:56:19,793 INFO: [27..][epoch: 2, step: 91,300, lr:(3.750e-05,)] [eta: 6:46:15, time (data): 0.692 (0.000)] l1_latent_opt: 8.5390e-01 l1_pixel_opt: 8.8922e-02 fft_latent_opt: 6.4517e-01 +2025-10-30 07:57:29,192 INFO: [27..][epoch: 2, step: 91,400, lr:(3.750e-05,)] [eta: 6:45:01, time (data): 0.694 (0.000)] l1_latent_opt: 8.4013e-01 l1_pixel_opt: 8.0576e-02 fft_latent_opt: 6.4345e-01 +2025-10-30 07:58:38,449 INFO: [27..][epoch: 2, step: 91,500, lr:(3.750e-05,)] [eta: 6:43:48, time (data): 0.692 (0.000)] l1_latent_opt: 8.3485e-01 l1_pixel_opt: 7.8052e-02 fft_latent_opt: 6.3362e-01 +2025-10-30 07:59:47,886 INFO: [27..][epoch: 2, step: 91,600, lr:(3.750e-05,)] [eta: 6:42:34, time (data): 0.694 (0.000)] l1_latent_opt: 8.4409e-01 l1_pixel_opt: 8.6921e-02 fft_latent_opt: 6.4172e-01 +2025-10-30 08:00:57,110 INFO: [27..][epoch: 2, step: 91,700, lr:(3.750e-05,)] [eta: 6:41:21, time (data): 0.692 (0.000)] l1_latent_opt: 8.4225e-01 l1_pixel_opt: 7.9926e-02 fft_latent_opt: 6.4515e-01 +2025-10-30 08:02:06,366 INFO: [27..][epoch: 2, step: 91,800, lr:(3.750e-05,)] [eta: 6:40:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.4920e-01 l1_pixel_opt: 8.6904e-02 fft_latent_opt: 6.4108e-01 +2025-10-30 08:03:15,587 INFO: [27..][epoch: 2, step: 91,900, lr:(3.750e-05,)] [eta: 6:38:54, time (data): 0.692 (0.000)] l1_latent_opt: 8.4293e-01 l1_pixel_opt: 7.9598e-02 fft_latent_opt: 6.4450e-01 +2025-10-30 08:04:33,178 INFO: [27..][epoch: 2, step: 92,000, lr:(3.750e-05,)] [eta: 6:37:44, time (data): 0.751 (0.000)] l1_latent_opt: 8.3824e-01 l1_pixel_opt: 7.7713e-02 fft_latent_opt: 6.4556e-01 +2025-10-30 08:05:42,698 INFO: [27..][epoch: 2, step: 92,100, lr:(3.750e-05,)] [eta: 6:36:30, time (data): 0.694 (0.000)] l1_latent_opt: 8.4010e-01 l1_pixel_opt: 7.8201e-02 fft_latent_opt: 6.3825e-01 +2025-10-30 08:06:52,276 INFO: [27..][epoch: 3, step: 92,200, lr:(3.750e-05,)] [eta: 6:35:17, time (data): 0.695 (0.001)] l1_latent_opt: 8.3707e-01 l1_pixel_opt: 7.2406e-02 fft_latent_opt: 6.3404e-01 +2025-10-30 08:08:01,924 INFO: [27..][epoch: 3, step: 92,300, lr:(3.750e-05,)] [eta: 6:34:04, time (data): 0.694 (0.000)] l1_latent_opt: 8.4783e-01 l1_pixel_opt: 7.9702e-02 fft_latent_opt: 6.4528e-01 +2025-10-30 08:09:11,418 INFO: [27..][epoch: 3, step: 92,400, lr:(3.750e-05,)] [eta: 6:32:50, time (data): 0.695 (0.000)] l1_latent_opt: 8.3835e-01 l1_pixel_opt: 7.3675e-02 fft_latent_opt: 6.3996e-01 +2025-10-30 08:10:20,791 INFO: [27..][epoch: 3, step: 92,500, lr:(3.750e-05,)] [eta: 6:31:37, time (data): 0.694 (0.000)] l1_latent_opt: 8.3657e-01 l1_pixel_opt: 7.5521e-02 fft_latent_opt: 6.3993e-01 +2025-10-30 08:11:30,418 INFO: [27..][epoch: 3, step: 92,600, lr:(3.750e-05,)] [eta: 6:30:24, time (data): 0.696 (0.000)] l1_latent_opt: 8.4597e-01 l1_pixel_opt: 7.7577e-02 fft_latent_opt: 6.4074e-01 +2025-10-30 08:12:39,760 INFO: [27..][epoch: 3, step: 92,700, lr:(3.750e-05,)] [eta: 6:29:11, time (data): 0.694 (0.000)] l1_latent_opt: 8.4570e-01 l1_pixel_opt: 8.1787e-02 fft_latent_opt: 6.4225e-01 +2025-10-30 08:13:49,083 INFO: [27..][epoch: 3, step: 92,800, lr:(3.750e-05,)] [eta: 6:27:57, time (data): 0.693 (0.000)] l1_latent_opt: 8.4343e-01 l1_pixel_opt: 8.4108e-02 fft_latent_opt: 6.4534e-01 +2025-10-30 08:14:58,452 INFO: [27..][epoch: 3, step: 92,900, lr:(3.750e-05,)] [eta: 6:26:44, time (data): 0.694 (0.000)] l1_latent_opt: 8.3620e-01 l1_pixel_opt: 7.7099e-02 fft_latent_opt: 6.3803e-01 +2025-10-30 08:16:08,372 INFO: [27..][epoch: 3, step: 93,000, lr:(3.750e-05,)] [eta: 6:25:31, time (data): 0.698 (0.000)] l1_latent_opt: 8.4081e-01 l1_pixel_opt: 8.8155e-02 fft_latent_opt: 6.4630e-01 +2025-10-30 08:17:17,729 INFO: [27..][epoch: 3, step: 93,100, lr:(3.750e-05,)] [eta: 6:24:17, time (data): 0.693 (0.000)] l1_latent_opt: 8.3612e-01 l1_pixel_opt: 7.8896e-02 fft_latent_opt: 6.4374e-01 +2025-10-30 08:18:27,091 INFO: [27..][epoch: 3, step: 93,200, lr:(3.750e-05,)] [eta: 6:23:04, time (data): 0.694 (0.000)] l1_latent_opt: 8.4208e-01 l1_pixel_opt: 8.1850e-02 fft_latent_opt: 6.3983e-01 +2025-10-30 08:19:36,485 INFO: [27..][epoch: 3, step: 93,300, lr:(3.750e-05,)] [eta: 6:21:51, time (data): 0.694 (0.000)] l1_latent_opt: 8.4433e-01 l1_pixel_opt: 8.2751e-02 fft_latent_opt: 6.4127e-01 +2025-10-30 08:20:45,903 INFO: [27..][epoch: 3, step: 93,400, lr:(3.750e-05,)] [eta: 6:20:38, time (data): 0.694 (0.000)] l1_latent_opt: 8.4492e-01 l1_pixel_opt: 7.8976e-02 fft_latent_opt: 6.4578e-01 +2025-10-30 08:21:55,278 INFO: [27..][epoch: 3, step: 93,500, lr:(3.750e-05,)] [eta: 6:19:24, time (data): 0.693 (0.000)] l1_latent_opt: 8.5363e-01 l1_pixel_opt: 8.8608e-02 fft_latent_opt: 6.3735e-01 +2025-10-30 08:23:04,805 INFO: [27..][epoch: 3, step: 93,600, lr:(3.750e-05,)] [eta: 6:18:11, time (data): 0.695 (0.000)] l1_latent_opt: 8.3826e-01 l1_pixel_opt: 8.0477e-02 fft_latent_opt: 6.3867e-01 +2025-10-30 08:24:14,320 INFO: [27..][epoch: 3, step: 93,700, lr:(3.750e-05,)] [eta: 6:16:58, time (data): 0.696 (0.000)] l1_latent_opt: 8.4251e-01 l1_pixel_opt: 7.5894e-02 fft_latent_opt: 6.4549e-01 +2025-10-30 08:25:23,658 INFO: [27..][epoch: 3, step: 93,800, lr:(3.750e-05,)] [eta: 6:15:45, time (data): 0.694 (0.000)] l1_latent_opt: 8.4059e-01 l1_pixel_opt: 8.7624e-02 fft_latent_opt: 6.4209e-01 +2025-10-30 08:26:32,977 INFO: [27..][epoch: 3, step: 93,900, lr:(3.750e-05,)] [eta: 6:14:32, time (data): 0.693 (0.000)] l1_latent_opt: 8.4385e-01 l1_pixel_opt: 8.3096e-02 fft_latent_opt: 6.4342e-01 +2025-10-30 08:27:42,382 INFO: [27..][epoch: 3, step: 94,000, lr:(3.750e-05,)] [eta: 6:13:18, time (data): 0.694 (0.000)] l1_latent_opt: 8.3603e-01 l1_pixel_opt: 6.7054e-02 fft_latent_opt: 6.4329e-01 +2025-10-30 08:28:51,756 INFO: [27..][epoch: 3, step: 94,100, lr:(3.750e-05,)] [eta: 6:12:05, time (data): 0.694 (0.000)] l1_latent_opt: 8.4161e-01 l1_pixel_opt: 7.9104e-02 fft_latent_opt: 6.4943e-01 +2025-10-30 08:30:01,116 INFO: [27..][epoch: 3, step: 94,200, lr:(3.750e-05,)] [eta: 6:10:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.4936e-01 l1_pixel_opt: 8.2234e-02 fft_latent_opt: 6.4032e-01 +2025-10-30 08:31:10,500 INFO: [27..][epoch: 3, step: 94,300, lr:(3.750e-05,)] [eta: 6:09:39, time (data): 0.694 (0.000)] l1_latent_opt: 8.4571e-01 l1_pixel_opt: 8.1488e-02 fft_latent_opt: 6.4459e-01 +2025-10-30 08:32:19,894 INFO: [27..][epoch: 3, step: 94,400, lr:(3.750e-05,)] [eta: 6:08:26, time (data): 0.694 (0.000)] l1_latent_opt: 8.4694e-01 l1_pixel_opt: 9.2740e-02 fft_latent_opt: 6.4908e-01 +2025-10-30 08:33:29,403 INFO: [27..][epoch: 3, step: 94,500, lr:(3.750e-05,)] [eta: 6:07:12, time (data): 0.697 (0.000)] l1_latent_opt: 8.4326e-01 l1_pixel_opt: 7.6991e-02 fft_latent_opt: 6.4636e-01 +2025-10-30 08:34:38,837 INFO: [27..][epoch: 3, step: 94,600, lr:(3.750e-05,)] [eta: 6:05:59, time (data): 0.695 (0.000)] l1_latent_opt: 8.4465e-01 l1_pixel_opt: 7.5766e-02 fft_latent_opt: 6.3896e-01 +2025-10-30 08:35:48,564 INFO: [27..][epoch: 3, step: 94,700, lr:(3.750e-05,)] [eta: 6:04:46, time (data): 0.695 (0.000)] l1_latent_opt: 8.4118e-01 l1_pixel_opt: 8.3181e-02 fft_latent_opt: 6.4124e-01 +2025-10-30 08:36:57,960 INFO: [27..][epoch: 3, step: 94,800, lr:(3.750e-05,)] [eta: 6:03:33, time (data): 0.694 (0.000)] l1_latent_opt: 8.4725e-01 l1_pixel_opt: 7.8078e-02 fft_latent_opt: 6.4305e-01 +2025-10-30 08:38:07,298 INFO: [27..][epoch: 3, step: 94,900, lr:(3.750e-05,)] [eta: 6:02:20, time (data): 0.692 (0.000)] l1_latent_opt: 8.4382e-01 l1_pixel_opt: 7.5739e-02 fft_latent_opt: 6.4530e-01 +2025-10-30 08:39:16,603 INFO: [27..][epoch: 3, step: 95,000, lr:(3.750e-05,)] [eta: 6:01:07, time (data): 0.693 (0.000)] l1_latent_opt: 8.4529e-01 l1_pixel_opt: 8.5857e-02 fft_latent_opt: 6.4441e-01 +2025-10-30 08:39:16,605 INFO: Saving models and training states. +2025-10-30 08:41:22,489 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8916 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2783 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1696 Best: 27.1728 @ 80000 iter + +2025-10-30 08:42:31,874 INFO: [27..][epoch: 3, step: 95,100, lr:(3.750e-05,)] [eta: 6:00:33, time (data): 0.692 (0.000)] l1_latent_opt: 8.4071e-01 l1_pixel_opt: 7.3332e-02 fft_latent_opt: 6.4611e-01 +2025-10-30 08:43:41,099 INFO: [27..][epoch: 3, step: 95,200, lr:(3.750e-05,)] [eta: 5:59:20, time (data): 0.692 (0.000)] l1_latent_opt: 8.4347e-01 l1_pixel_opt: 7.9263e-02 fft_latent_opt: 6.4637e-01 +2025-10-30 08:44:50,651 INFO: [27..][epoch: 3, step: 95,300, lr:(3.750e-05,)] [eta: 5:58:07, time (data): 0.692 (0.000)] l1_latent_opt: 8.5438e-01 l1_pixel_opt: 9.4442e-02 fft_latent_opt: 6.4777e-01 +2025-10-30 08:46:00,111 INFO: [27..][epoch: 3, step: 95,400, lr:(3.750e-05,)] [eta: 5:56:54, time (data): 0.694 (0.000)] l1_latent_opt: 8.5436e-01 l1_pixel_opt: 9.3522e-02 fft_latent_opt: 6.5062e-01 +2025-10-30 08:47:09,387 INFO: [27..][epoch: 3, step: 95,500, lr:(3.750e-05,)] [eta: 5:55:40, time (data): 0.692 (0.000)] l1_latent_opt: 8.4838e-01 l1_pixel_opt: 8.6193e-02 fft_latent_opt: 6.4644e-01 +2025-10-30 08:48:18,810 INFO: [27..][epoch: 3, step: 95,600, lr:(3.750e-05,)] [eta: 5:54:27, time (data): 0.694 (0.000)] l1_latent_opt: 8.4563e-01 l1_pixel_opt: 8.9212e-02 fft_latent_opt: 6.4587e-01 +2025-10-30 08:49:28,205 INFO: [27..][epoch: 3, step: 95,700, lr:(3.750e-05,)] [eta: 5:53:14, time (data): 0.692 (0.000)] l1_latent_opt: 8.4780e-01 l1_pixel_opt: 8.0802e-02 fft_latent_opt: 6.5021e-01 +2025-10-30 08:50:37,538 INFO: [27..][epoch: 3, step: 95,800, lr:(3.750e-05,)] [eta: 5:52:00, time (data): 0.693 (0.000)] l1_latent_opt: 8.3741e-01 l1_pixel_opt: 7.8141e-02 fft_latent_opt: 6.4245e-01 +2025-10-30 08:51:46,830 INFO: [27..][epoch: 3, step: 95,900, lr:(3.750e-05,)] [eta: 5:50:47, time (data): 0.692 (0.000)] l1_latent_opt: 8.4416e-01 l1_pixel_opt: 8.8397e-02 fft_latent_opt: 6.4335e-01 +2025-10-30 08:52:56,619 INFO: [27..][epoch: 3, step: 96,000, lr:(3.750e-05,)] [eta: 5:49:34, time (data): 0.697 (0.000)] l1_latent_opt: 8.4793e-01 l1_pixel_opt: 8.2489e-02 fft_latent_opt: 6.4526e-01 +2025-10-30 08:54:05,997 INFO: [27..][epoch: 3, step: 96,100, lr:(3.750e-05,)] [eta: 5:48:21, time (data): 0.692 (0.000)] l1_latent_opt: 8.3440e-01 l1_pixel_opt: 7.6087e-02 fft_latent_opt: 6.4261e-01 +2025-10-30 08:55:15,366 INFO: [27..][epoch: 3, step: 96,200, lr:(3.750e-05,)] [eta: 5:47:08, time (data): 0.693 (0.000)] l1_latent_opt: 8.4118e-01 l1_pixel_opt: 8.1362e-02 fft_latent_opt: 6.4431e-01 +2025-10-30 08:56:24,613 INFO: [27..][epoch: 3, step: 96,300, lr:(3.750e-05,)] [eta: 5:45:54, time (data): 0.691 (0.000)] l1_latent_opt: 8.4473e-01 l1_pixel_opt: 8.4322e-02 fft_latent_opt: 6.4202e-01 +2025-10-30 08:57:34,012 INFO: [27..][epoch: 3, step: 96,400, lr:(3.750e-05,)] [eta: 5:44:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.4325e-01 l1_pixel_opt: 7.9345e-02 fft_latent_opt: 6.4602e-01 +2025-10-30 08:58:43,191 INFO: [27..][epoch: 3, step: 96,500, lr:(3.750e-05,)] [eta: 5:43:28, time (data): 0.691 (0.000)] l1_latent_opt: 8.4518e-01 l1_pixel_opt: 8.4812e-02 fft_latent_opt: 6.4717e-01 +2025-10-30 08:59:52,407 INFO: [27..][epoch: 3, step: 96,600, lr:(3.750e-05,)] [eta: 5:42:15, time (data): 0.692 (0.000)] l1_latent_opt: 8.4093e-01 l1_pixel_opt: 7.7746e-02 fft_latent_opt: 6.4213e-01 +2025-10-30 09:01:01,570 INFO: [27..][epoch: 3, step: 96,700, lr:(3.750e-05,)] [eta: 5:41:02, time (data): 0.691 (0.000)] l1_latent_opt: 8.5259e-01 l1_pixel_opt: 8.8192e-02 fft_latent_opt: 6.4922e-01 +2025-10-30 09:02:10,732 INFO: [27..][epoch: 3, step: 96,800, lr:(3.750e-05,)] [eta: 5:39:48, time (data): 0.692 (0.000)] l1_latent_opt: 8.3655e-01 l1_pixel_opt: 8.1206e-02 fft_latent_opt: 6.3896e-01 +2025-10-30 09:03:20,144 INFO: [27..][epoch: 3, step: 96,900, lr:(3.750e-05,)] [eta: 5:38:35, time (data): 0.693 (0.000)] l1_latent_opt: 8.4341e-01 l1_pixel_opt: 8.0112e-02 fft_latent_opt: 6.4066e-01 +2025-10-30 09:04:29,391 INFO: [27..][epoch: 3, step: 97,000, lr:(3.750e-05,)] [eta: 5:37:22, time (data): 0.692 (0.000)] l1_latent_opt: 8.4601e-01 l1_pixel_opt: 8.2183e-02 fft_latent_opt: 6.4947e-01 +2025-10-30 09:05:38,673 INFO: [27..][epoch: 3, step: 97,100, lr:(3.750e-05,)] [eta: 5:36:09, time (data): 0.693 (0.000)] l1_latent_opt: 8.4456e-01 l1_pixel_opt: 8.6165e-02 fft_latent_opt: 6.4487e-01 +2025-10-30 09:06:55,894 INFO: [27..][epoch: 3, step: 97,200, lr:(3.750e-05,)] [eta: 5:34:58, time (data): 0.761 (0.000)] l1_latent_opt: 8.3634e-01 l1_pixel_opt: 7.4709e-02 fft_latent_opt: 6.3830e-01 +2025-10-30 09:08:05,194 INFO: [27..][epoch: 3, step: 97,300, lr:(3.750e-05,)] [eta: 5:33:45, time (data): 0.693 (0.000)] l1_latent_opt: 8.4948e-01 l1_pixel_opt: 8.2906e-02 fft_latent_opt: 6.4035e-01 +2025-10-30 09:09:14,473 INFO: [27..][epoch: 3, step: 97,400, lr:(3.750e-05,)] [eta: 5:32:32, time (data): 0.693 (0.000)] l1_latent_opt: 8.3642e-01 l1_pixel_opt: 8.0162e-02 fft_latent_opt: 6.4005e-01 +2025-10-30 09:10:23,764 INFO: [27..][epoch: 3, step: 97,500, lr:(3.750e-05,)] [eta: 5:31:19, time (data): 0.693 (0.000)] l1_latent_opt: 8.3721e-01 l1_pixel_opt: 7.3830e-02 fft_latent_opt: 6.4115e-01 +2025-10-30 09:11:33,079 INFO: [27..][epoch: 3, step: 97,600, lr:(3.750e-05,)] [eta: 5:30:05, time (data): 0.693 (0.000)] l1_latent_opt: 8.4835e-01 l1_pixel_opt: 7.6314e-02 fft_latent_opt: 6.3696e-01 +2025-10-30 09:12:42,531 INFO: [27..][epoch: 3, step: 97,700, lr:(3.750e-05,)] [eta: 5:28:52, time (data): 0.693 (0.000)] l1_latent_opt: 8.3829e-01 l1_pixel_opt: 7.8724e-02 fft_latent_opt: 6.3909e-01 +2025-10-30 09:13:51,843 INFO: [27..][epoch: 3, step: 97,800, lr:(3.750e-05,)] [eta: 5:27:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.4621e-01 l1_pixel_opt: 8.6864e-02 fft_latent_opt: 6.4329e-01 +2025-10-30 09:15:01,269 INFO: [27..][epoch: 3, step: 97,900, lr:(3.750e-05,)] [eta: 5:26:26, time (data): 0.693 (0.000)] l1_latent_opt: 8.3711e-01 l1_pixel_opt: 7.3021e-02 fft_latent_opt: 6.3272e-01 +2025-10-30 09:16:11,655 INFO: [27..][epoch: 3, step: 98,000, lr:(3.750e-05,)] [eta: 5:25:13, time (data): 0.703 (0.000)] l1_latent_opt: 8.4310e-01 l1_pixel_opt: 8.1910e-02 fft_latent_opt: 6.4569e-01 +2025-10-30 09:17:21,547 INFO: [27..][epoch: 3, step: 98,100, lr:(3.750e-05,)] [eta: 5:24:00, time (data): 0.691 (0.000)] l1_latent_opt: 8.4096e-01 l1_pixel_opt: 8.4189e-02 fft_latent_opt: 6.4441e-01 +2025-10-30 09:18:37,116 INFO: [27..][epoch: 3, step: 98,200, lr:(3.750e-05,)] [eta: 5:22:49, time (data): 0.749 (0.000)] l1_latent_opt: 8.4114e-01 l1_pixel_opt: 8.5177e-02 fft_latent_opt: 6.4559e-01 +2025-10-30 09:19:46,152 INFO: [27..][epoch: 3, step: 98,300, lr:(3.750e-05,)] [eta: 5:21:36, time (data): 0.690 (0.000)] l1_latent_opt: 8.4183e-01 l1_pixel_opt: 8.2428e-02 fft_latent_opt: 6.3073e-01 +2025-10-30 09:20:55,656 INFO: [27..][epoch: 3, step: 98,400, lr:(3.750e-05,)] [eta: 5:20:23, time (data): 0.695 (0.000)] l1_latent_opt: 8.4277e-01 l1_pixel_opt: 7.8599e-02 fft_latent_opt: 6.4181e-01 +2025-10-30 09:22:05,455 INFO: [27..][epoch: 3, step: 98,500, lr:(3.750e-05,)] [eta: 5:19:10, time (data): 0.697 (0.000)] l1_latent_opt: 8.2847e-01 l1_pixel_opt: 6.9643e-02 fft_latent_opt: 6.2993e-01 +2025-10-30 09:23:17,575 INFO: [27..][epoch: 3, step: 98,600, lr:(3.750e-05,)] [eta: 5:17:58, time (data): 0.719 (0.025)] l1_latent_opt: 8.4250e-01 l1_pixel_opt: 7.8731e-02 fft_latent_opt: 6.3926e-01 +2025-10-30 09:24:26,763 INFO: [27..][epoch: 3, step: 98,700, lr:(3.750e-05,)] [eta: 5:16:45, time (data): 0.690 (0.000)] l1_latent_opt: 8.4780e-01 l1_pixel_opt: 8.2837e-02 fft_latent_opt: 6.4927e-01 +2025-10-30 09:25:36,333 INFO: [27..][epoch: 3, step: 98,800, lr:(3.750e-05,)] [eta: 5:15:32, time (data): 0.695 (0.000)] l1_latent_opt: 8.3643e-01 l1_pixel_opt: 7.9519e-02 fft_latent_opt: 6.4021e-01 +2025-10-30 09:26:51,741 INFO: [27..][epoch: 3, step: 98,900, lr:(3.750e-05,)] [eta: 5:14:20, time (data): 0.691 (0.000)] l1_latent_opt: 8.4314e-01 l1_pixel_opt: 7.6724e-02 fft_latent_opt: 6.4493e-01 +2025-10-30 09:28:00,724 INFO: [27..][epoch: 3, step: 99,000, lr:(3.750e-05,)] [eta: 5:13:07, time (data): 0.690 (0.000)] l1_latent_opt: 8.4702e-01 l1_pixel_opt: 8.2537e-02 fft_latent_opt: 6.4058e-01 +2025-10-30 09:29:09,741 INFO: [27..][epoch: 3, step: 99,100, lr:(3.750e-05,)] [eta: 5:11:54, time (data): 0.702 (0.000)] l1_latent_opt: 8.3933e-01 l1_pixel_opt: 8.1296e-02 fft_latent_opt: 6.4315e-01 +2025-10-30 09:30:25,098 INFO: [27..][epoch: 3, step: 99,200, lr:(3.750e-05,)] [eta: 5:10:42, time (data): 0.750 (0.000)] l1_latent_opt: 8.4307e-01 l1_pixel_opt: 8.5035e-02 fft_latent_opt: 6.4239e-01 +2025-10-30 09:31:34,310 INFO: [27..][epoch: 3, step: 99,300, lr:(3.750e-05,)] [eta: 5:09:29, time (data): 0.691 (0.000)] l1_latent_opt: 8.3654e-01 l1_pixel_opt: 7.8058e-02 fft_latent_opt: 6.3488e-01 +2025-10-30 09:32:43,295 INFO: [27..][epoch: 3, step: 99,400, lr:(3.750e-05,)] [eta: 5:08:16, time (data): 0.690 (0.000)] l1_latent_opt: 8.2919e-01 l1_pixel_opt: 7.5771e-02 fft_latent_opt: 6.3196e-01 +2025-10-30 09:33:52,520 INFO: [27..][epoch: 3, step: 99,500, lr:(3.750e-05,)] [eta: 5:07:03, time (data): 0.689 (0.000)] l1_latent_opt: 8.4484e-01 l1_pixel_opt: 7.9678e-02 fft_latent_opt: 6.4295e-01 +2025-10-30 09:35:01,576 INFO: [27..][epoch: 3, step: 99,600, lr:(3.750e-05,)] [eta: 5:05:50, time (data): 0.690 (0.000)] l1_latent_opt: 8.5434e-01 l1_pixel_opt: 9.1862e-02 fft_latent_opt: 6.4408e-01 +2025-10-30 09:36:10,475 INFO: [27..][epoch: 3, step: 99,700, lr:(3.750e-05,)] [eta: 5:04:37, time (data): 0.689 (0.000)] l1_latent_opt: 8.4141e-01 l1_pixel_opt: 7.8031e-02 fft_latent_opt: 6.4297e-01 +2025-10-30 09:37:19,336 INFO: [27..][epoch: 3, step: 99,800, lr:(3.750e-05,)] [eta: 5:03:24, time (data): 0.689 (0.000)] l1_latent_opt: 8.3867e-01 l1_pixel_opt: 7.3613e-02 fft_latent_opt: 6.4192e-01 +2025-10-30 09:38:28,297 INFO: [27..][epoch: 3, step: 99,900, lr:(3.750e-05,)] [eta: 5:02:11, time (data): 0.690 (0.000)] l1_latent_opt: 8.4698e-01 l1_pixel_opt: 8.0049e-02 fft_latent_opt: 6.3636e-01 +2025-10-30 09:39:37,493 INFO: [27..][epoch: 3, step: 100,000, lr:(3.750e-05,)] [eta: 5:00:58, time (data): 0.692 (0.000)] l1_latent_opt: 8.3829e-01 l1_pixel_opt: 7.5174e-02 fft_latent_opt: 6.3951e-01 +2025-10-30 09:39:37,494 INFO: Saving models and training states. +2025-10-30 09:41:44,923 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8908 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2758 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1749 Best: 27.1749 @ 100000 iter + +2025-10-30 09:42:53,993 INFO: [27..][epoch: 3, step: 100,100, lr:(3.750e-05,)] [eta: 5:00:17, time (data): 0.690 (0.000)] l1_latent_opt: 8.3812e-01 l1_pixel_opt: 7.6019e-02 fft_latent_opt: 6.3786e-01 +2025-10-30 09:44:03,167 INFO: [27..][epoch: 3, step: 100,200, lr:(3.750e-05,)] [eta: 4:59:03, time (data): 0.692 (0.000)] l1_latent_opt: 8.4915e-01 l1_pixel_opt: 7.8346e-02 fft_latent_opt: 6.4656e-01 +2025-10-30 09:45:12,390 INFO: [27..][epoch: 3, step: 100,300, lr:(3.750e-05,)] [eta: 4:57:50, time (data): 0.691 (0.000)] l1_latent_opt: 8.4053e-01 l1_pixel_opt: 8.8636e-02 fft_latent_opt: 6.4118e-01 +2025-10-30 09:46:21,368 INFO: [27..][epoch: 3, step: 100,400, lr:(3.750e-05,)] [eta: 4:56:37, time (data): 0.690 (0.000)] l1_latent_opt: 8.4077e-01 l1_pixel_opt: 8.2505e-02 fft_latent_opt: 6.4292e-01 +2025-10-30 09:47:30,429 INFO: [27..][epoch: 3, step: 100,500, lr:(3.750e-05,)] [eta: 4:55:24, time (data): 0.690 (0.000)] l1_latent_opt: 8.4247e-01 l1_pixel_opt: 8.4025e-02 fft_latent_opt: 6.4342e-01 +2025-10-30 09:48:39,345 INFO: [27..][epoch: 3, step: 100,600, lr:(3.750e-05,)] [eta: 4:54:11, time (data): 0.689 (0.000)] l1_latent_opt: 8.4114e-01 l1_pixel_opt: 7.7916e-02 fft_latent_opt: 6.4139e-01 +2025-10-30 09:49:48,217 INFO: [27..][epoch: 3, step: 100,700, lr:(3.750e-05,)] [eta: 4:52:58, time (data): 0.689 (0.000)] l1_latent_opt: 8.4027e-01 l1_pixel_opt: 9.0830e-02 fft_latent_opt: 6.3757e-01 +2025-10-30 09:50:57,062 INFO: [27..][epoch: 3, step: 100,800, lr:(3.750e-05,)] [eta: 4:51:44, time (data): 0.688 (0.000)] l1_latent_opt: 8.4317e-01 l1_pixel_opt: 8.2238e-02 fft_latent_opt: 6.4378e-01 +2025-10-30 09:52:05,955 INFO: [27..][epoch: 3, step: 100,900, lr:(3.750e-05,)] [eta: 4:50:31, time (data): 0.689 (0.000)] l1_latent_opt: 8.4881e-01 l1_pixel_opt: 8.5725e-02 fft_latent_opt: 6.4903e-01 +2025-10-30 09:53:14,866 INFO: [27..][epoch: 3, step: 101,000, lr:(3.750e-05,)] [eta: 4:49:18, time (data): 0.689 (0.000)] l1_latent_opt: 8.4466e-01 l1_pixel_opt: 8.6689e-02 fft_latent_opt: 6.3952e-01 +2025-10-30 09:54:26,690 INFO: [27..][epoch: 3, step: 101,100, lr:(3.750e-05,)] [eta: 4:48:06, time (data): 0.704 (0.000)] l1_latent_opt: 8.4133e-01 l1_pixel_opt: 8.0957e-02 fft_latent_opt: 6.4191e-01 +2025-10-30 09:55:37,806 INFO: [27..][epoch: 3, step: 101,200, lr:(3.750e-05,)] [eta: 4:46:53, time (data): 0.711 (0.000)] l1_latent_opt: 8.4159e-01 l1_pixel_opt: 8.0678e-02 fft_latent_opt: 6.3790e-01 +2025-10-30 09:56:46,993 INFO: [27..][epoch: 3, step: 101,300, lr:(3.750e-05,)] [eta: 4:45:40, time (data): 0.701 (0.000)] l1_latent_opt: 8.4608e-01 l1_pixel_opt: 7.8930e-02 fft_latent_opt: 6.4617e-01 +2025-10-30 09:57:56,067 INFO: [27..][epoch: 3, step: 101,400, lr:(3.750e-05,)] [eta: 4:44:27, time (data): 0.691 (0.000)] l1_latent_opt: 8.3989e-01 l1_pixel_opt: 8.1475e-02 fft_latent_opt: 6.5107e-01 +2025-10-30 09:59:05,122 INFO: [27..][epoch: 3, step: 101,500, lr:(3.750e-05,)] [eta: 4:43:14, time (data): 0.691 (0.000)] l1_latent_opt: 8.4372e-01 l1_pixel_opt: 7.9827e-02 fft_latent_opt: 6.4391e-01 +2025-10-30 10:00:14,025 INFO: [27..][epoch: 3, step: 101,600, lr:(3.750e-05,)] [eta: 4:42:01, time (data): 0.689 (0.000)] l1_latent_opt: 8.4597e-01 l1_pixel_opt: 8.0937e-02 fft_latent_opt: 6.4720e-01 +2025-10-30 10:01:23,096 INFO: [27..][epoch: 3, step: 101,700, lr:(3.750e-05,)] [eta: 4:40:48, time (data): 0.690 (0.000)] l1_latent_opt: 8.3707e-01 l1_pixel_opt: 7.7763e-02 fft_latent_opt: 6.4291e-01 +2025-10-30 10:02:32,228 INFO: [27..][epoch: 3, step: 101,800, lr:(3.750e-05,)] [eta: 4:39:35, time (data): 0.691 (0.000)] l1_latent_opt: 8.4045e-01 l1_pixel_opt: 8.1119e-02 fft_latent_opt: 6.4161e-01 +2025-10-30 10:03:41,323 INFO: [27..][epoch: 3, step: 101,900, lr:(3.750e-05,)] [eta: 4:38:22, time (data): 0.691 (0.000)] l1_latent_opt: 8.4037e-01 l1_pixel_opt: 7.9518e-02 fft_latent_opt: 6.4379e-01 +2025-10-30 10:04:50,142 INFO: [27..][epoch: 3, step: 102,000, lr:(3.750e-05,)] [eta: 4:37:08, time (data): 0.688 (0.000)] l1_latent_opt: 8.4746e-01 l1_pixel_opt: 8.0659e-02 fft_latent_opt: 6.5158e-01 +2025-10-30 10:05:58,953 INFO: [27..][epoch: 3, step: 102,100, lr:(3.750e-05,)] [eta: 4:35:55, time (data): 0.688 (0.000)] l1_latent_opt: 8.4493e-01 l1_pixel_opt: 8.4887e-02 fft_latent_opt: 6.4452e-01 +2025-10-30 10:07:07,729 INFO: [27..][epoch: 3, step: 102,200, lr:(3.750e-05,)] [eta: 4:34:42, time (data): 0.688 (0.000)] l1_latent_opt: 8.3283e-01 l1_pixel_opt: 8.0914e-02 fft_latent_opt: 6.4339e-01 +2025-10-30 10:08:24,439 INFO: [27..][epoch: 3, step: 102,300, lr:(3.750e-05,)] [eta: 4:33:31, time (data): 0.729 (0.000)] l1_latent_opt: 8.3829e-01 l1_pixel_opt: 7.4010e-02 fft_latent_opt: 6.3904e-01 +2025-10-30 10:09:33,258 INFO: [27..][epoch: 3, step: 102,400, lr:(3.750e-05,)] [eta: 4:32:18, time (data): 0.688 (0.000)] l1_latent_opt: 8.4558e-01 l1_pixel_opt: 7.9062e-02 fft_latent_opt: 6.4146e-01 +2025-10-30 10:10:42,251 INFO: [27..][epoch: 3, step: 102,500, lr:(3.750e-05,)] [eta: 4:31:05, time (data): 0.689 (0.000)] l1_latent_opt: 8.4712e-01 l1_pixel_opt: 8.1091e-02 fft_latent_opt: 6.4598e-01 +2025-10-30 10:11:51,282 INFO: [27..][epoch: 3, step: 102,600, lr:(3.750e-05,)] [eta: 4:29:52, time (data): 0.690 (0.000)] l1_latent_opt: 8.5127e-01 l1_pixel_opt: 9.1431e-02 fft_latent_opt: 6.4913e-01 +2025-10-30 10:13:00,427 INFO: [27..][epoch: 3, step: 102,700, lr:(3.750e-05,)] [eta: 4:28:39, time (data): 0.691 (0.000)] l1_latent_opt: 8.4464e-01 l1_pixel_opt: 8.4116e-02 fft_latent_opt: 6.3748e-01 +2025-10-30 10:14:09,314 INFO: [27..][epoch: 3, step: 102,800, lr:(3.750e-05,)] [eta: 4:27:26, time (data): 0.689 (0.000)] l1_latent_opt: 8.4031e-01 l1_pixel_opt: 7.3947e-02 fft_latent_opt: 6.4551e-01 +2025-10-30 10:15:18,363 INFO: [27..][epoch: 3, step: 102,900, lr:(3.750e-05,)] [eta: 4:26:13, time (data): 0.690 (0.000)] l1_latent_opt: 8.4709e-01 l1_pixel_opt: 7.8459e-02 fft_latent_opt: 6.4715e-01 +2025-10-30 10:16:27,401 INFO: [27..][epoch: 3, step: 103,000, lr:(3.750e-05,)] [eta: 4:25:00, time (data): 0.690 (0.000)] l1_latent_opt: 8.4382e-01 l1_pixel_opt: 8.2290e-02 fft_latent_opt: 6.4046e-01 +2025-10-30 10:17:36,334 INFO: [27..][epoch: 3, step: 103,100, lr:(3.750e-05,)] [eta: 4:23:47, time (data): 0.690 (0.000)] l1_latent_opt: 8.3548e-01 l1_pixel_opt: 8.0741e-02 fft_latent_opt: 6.3694e-01 +2025-10-30 10:18:45,250 INFO: [27..][epoch: 3, step: 103,200, lr:(3.750e-05,)] [eta: 4:22:34, time (data): 0.689 (0.000)] l1_latent_opt: 8.5273e-01 l1_pixel_opt: 8.9013e-02 fft_latent_opt: 6.4935e-01 +2025-10-30 10:19:54,152 INFO: [27..][epoch: 3, step: 103,300, lr:(3.750e-05,)] [eta: 4:21:21, time (data): 0.689 (0.000)] l1_latent_opt: 8.4729e-01 l1_pixel_opt: 8.2421e-02 fft_latent_opt: 6.3924e-01 +2025-10-30 10:21:03,227 INFO: [27..][epoch: 3, step: 103,400, lr:(3.750e-05,)] [eta: 4:20:08, time (data): 0.689 (0.000)] l1_latent_opt: 8.4165e-01 l1_pixel_opt: 8.5187e-02 fft_latent_opt: 6.3927e-01 +2025-10-30 10:22:12,152 INFO: [27..][epoch: 3, step: 103,500, lr:(3.750e-05,)] [eta: 4:18:55, time (data): 0.689 (0.000)] l1_latent_opt: 8.4287e-01 l1_pixel_opt: 8.3403e-02 fft_latent_opt: 6.3747e-01 +2025-10-30 10:23:21,095 INFO: [27..][epoch: 3, step: 103,600, lr:(3.750e-05,)] [eta: 4:17:42, time (data): 0.689 (0.000)] l1_latent_opt: 8.4281e-01 l1_pixel_opt: 8.4118e-02 fft_latent_opt: 6.4309e-01 +2025-10-30 10:24:30,021 INFO: [27..][epoch: 3, step: 103,700, lr:(3.750e-05,)] [eta: 4:16:29, time (data): 0.689 (0.000)] l1_latent_opt: 8.4556e-01 l1_pixel_opt: 8.3994e-02 fft_latent_opt: 6.4191e-01 +2025-10-30 10:25:38,920 INFO: [27..][epoch: 3, step: 103,800, lr:(3.750e-05,)] [eta: 4:15:16, time (data): 0.689 (0.000)] l1_latent_opt: 8.3982e-01 l1_pixel_opt: 8.1940e-02 fft_latent_opt: 6.4210e-01 +2025-10-30 10:26:47,821 INFO: [27..][epoch: 3, step: 103,900, lr:(3.750e-05,)] [eta: 4:14:03, time (data): 0.689 (0.000)] l1_latent_opt: 8.4205e-01 l1_pixel_opt: 7.5053e-02 fft_latent_opt: 6.4435e-01 +2025-10-30 10:27:57,522 INFO: [27..][epoch: 3, step: 104,000, lr:(3.750e-05,)] [eta: 4:12:51, time (data): 0.699 (0.000)] l1_latent_opt: 8.4106e-01 l1_pixel_opt: 8.1073e-02 fft_latent_opt: 6.4286e-01 +2025-10-30 10:29:06,419 INFO: [27..][epoch: 3, step: 104,100, lr:(3.750e-05,)] [eta: 4:11:38, time (data): 0.693 (0.000)] l1_latent_opt: 8.4206e-01 l1_pixel_opt: 7.6244e-02 fft_latent_opt: 6.4012e-01 +2025-10-30 10:30:15,276 INFO: [27..][epoch: 3, step: 104,200, lr:(3.750e-05,)] [eta: 4:10:25, time (data): 0.689 (0.000)] l1_latent_opt: 8.4784e-01 l1_pixel_opt: 8.8688e-02 fft_latent_opt: 6.4204e-01 +2025-10-30 10:31:24,494 INFO: [27..][epoch: 3, step: 104,300, lr:(3.750e-05,)] [eta: 4:09:12, time (data): 0.691 (0.000)] l1_latent_opt: 8.4215e-01 l1_pixel_opt: 8.5221e-02 fft_latent_opt: 6.4536e-01 +2025-10-30 10:32:33,608 INFO: [27..][epoch: 3, step: 104,400, lr:(3.750e-05,)] [eta: 4:07:59, time (data): 0.692 (0.000)] l1_latent_opt: 8.5150e-01 l1_pixel_opt: 9.1499e-02 fft_latent_opt: 6.4278e-01 +2025-10-30 10:33:42,567 INFO: [27..][epoch: 3, step: 104,500, lr:(3.750e-05,)] [eta: 4:06:46, time (data): 0.691 (0.000)] l1_latent_opt: 8.3049e-01 l1_pixel_opt: 7.3371e-02 fft_latent_opt: 6.3335e-01 +2025-10-30 10:34:51,471 INFO: [27..][epoch: 3, step: 104,600, lr:(3.750e-05,)] [eta: 4:05:33, time (data): 0.689 (0.000)] l1_latent_opt: 8.4203e-01 l1_pixel_opt: 7.5594e-02 fft_latent_opt: 6.4246e-01 +2025-10-30 10:36:00,379 INFO: [27..][epoch: 3, step: 104,700, lr:(3.750e-05,)] [eta: 4:04:20, time (data): 0.689 (0.000)] l1_latent_opt: 8.4458e-01 l1_pixel_opt: 8.5085e-02 fft_latent_opt: 6.3978e-01 +2025-10-30 10:37:09,274 INFO: [27..][epoch: 3, step: 104,800, lr:(3.750e-05,)] [eta: 4:03:08, time (data): 0.689 (0.000)] l1_latent_opt: 8.4775e-01 l1_pixel_opt: 8.4714e-02 fft_latent_opt: 6.4174e-01 +2025-10-30 10:38:18,178 INFO: [27..][epoch: 3, step: 104,900, lr:(3.750e-05,)] [eta: 4:01:55, time (data): 0.689 (0.000)] l1_latent_opt: 8.4796e-01 l1_pixel_opt: 8.3572e-02 fft_latent_opt: 6.4094e-01 +2025-10-30 10:39:27,089 INFO: [27..][epoch: 3, step: 105,000, lr:(3.750e-05,)] [eta: 4:00:42, time (data): 0.689 (0.000)] l1_latent_opt: 8.4130e-01 l1_pixel_opt: 7.8890e-02 fft_latent_opt: 6.3851e-01 +2025-10-30 10:39:27,090 INFO: Saving models and training states. +2025-10-30 10:41:30,870 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8930 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2813 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1829 Best: 27.1829 @ 105000 iter + +2025-10-30 10:42:39,786 INFO: [27..][epoch: 3, step: 105,100, lr:(3.750e-05,)] [eta: 3:59:52, time (data): 0.689 (0.000)] l1_latent_opt: 8.5294e-01 l1_pixel_opt: 8.9253e-02 fft_latent_opt: 6.4426e-01 +2025-10-30 10:43:48,643 INFO: [27..][epoch: 3, step: 105,200, lr:(3.750e-05,)] [eta: 3:58:39, time (data): 0.689 (0.000)] l1_latent_opt: 8.4401e-01 l1_pixel_opt: 8.6045e-02 fft_latent_opt: 6.4277e-01 +2025-10-30 10:44:57,492 INFO: [27..][epoch: 3, step: 105,300, lr:(3.750e-05,)] [eta: 3:57:26, time (data): 0.689 (0.000)] l1_latent_opt: 8.4286e-01 l1_pixel_opt: 8.0912e-02 fft_latent_opt: 6.3651e-01 +2025-10-30 10:46:06,332 INFO: [27..][epoch: 3, step: 105,400, lr:(3.750e-05,)] [eta: 3:56:14, time (data): 0.688 (0.000)] l1_latent_opt: 8.4020e-01 l1_pixel_opt: 8.1556e-02 fft_latent_opt: 6.4052e-01 +2025-10-30 10:47:15,172 INFO: [27..][epoch: 3, step: 105,500, lr:(3.750e-05,)] [eta: 3:55:01, time (data): 0.688 (0.000)] l1_latent_opt: 8.4004e-01 l1_pixel_opt: 7.6690e-02 fft_latent_opt: 6.4254e-01 +2025-10-30 10:48:24,021 INFO: [27..][epoch: 3, step: 105,600, lr:(3.750e-05,)] [eta: 3:53:48, time (data): 0.688 (0.000)] l1_latent_opt: 8.5260e-01 l1_pixel_opt: 9.0702e-02 fft_latent_opt: 6.4886e-01 +2025-10-30 10:49:32,875 INFO: [27..][epoch: 3, step: 105,700, lr:(3.750e-05,)] [eta: 3:52:35, time (data): 0.688 (0.000)] l1_latent_opt: 8.3129e-01 l1_pixel_opt: 7.0943e-02 fft_latent_opt: 6.3557e-01 +2025-10-30 10:50:41,706 INFO: [27..][epoch: 3, step: 105,800, lr:(3.750e-05,)] [eta: 3:51:22, time (data): 0.688 (0.000)] l1_latent_opt: 8.4807e-01 l1_pixel_opt: 8.2155e-02 fft_latent_opt: 6.4606e-01 +2025-10-30 10:51:51,053 INFO: [27..][epoch: 3, step: 105,900, lr:(3.750e-05,)] [eta: 3:50:09, time (data): 0.691 (0.000)] l1_latent_opt: 8.4247e-01 l1_pixel_opt: 8.1187e-02 fft_latent_opt: 6.4513e-01 +2025-10-30 10:52:59,961 INFO: [27..][epoch: 3, step: 106,000, lr:(3.750e-05,)] [eta: 3:48:56, time (data): 0.689 (0.000)] l1_latent_opt: 8.3726e-01 l1_pixel_opt: 8.4097e-02 fft_latent_opt: 6.3612e-01 +2025-10-30 10:54:08,824 INFO: [27..][epoch: 3, step: 106,100, lr:(3.750e-05,)] [eta: 3:47:43, time (data): 0.689 (0.000)] l1_latent_opt: 8.3563e-01 l1_pixel_opt: 7.1093e-02 fft_latent_opt: 6.3724e-01 +2025-10-30 10:55:17,672 INFO: [27..][epoch: 3, step: 106,200, lr:(3.750e-05,)] [eta: 3:46:30, time (data): 0.688 (0.000)] l1_latent_opt: 8.4775e-01 l1_pixel_opt: 8.4202e-02 fft_latent_opt: 6.4107e-01 +2025-10-30 10:56:26,543 INFO: [27..][epoch: 3, step: 106,300, lr:(3.750e-05,)] [eta: 3:45:17, time (data): 0.689 (0.000)] l1_latent_opt: 8.4066e-01 l1_pixel_opt: 7.5128e-02 fft_latent_opt: 6.4327e-01 +2025-10-30 10:57:35,519 INFO: [27..][epoch: 3, step: 106,400, lr:(3.750e-05,)] [eta: 3:44:04, time (data): 0.690 (0.000)] l1_latent_opt: 8.3274e-01 l1_pixel_opt: 6.9849e-02 fft_latent_opt: 6.3273e-01 +2025-10-30 10:58:44,540 INFO: [27..][epoch: 3, step: 106,500, lr:(3.750e-05,)] [eta: 3:42:52, time (data): 0.690 (0.000)] l1_latent_opt: 8.4163e-01 l1_pixel_opt: 8.1252e-02 fft_latent_opt: 6.4517e-01 +2025-10-30 10:59:53,723 INFO: [27..][epoch: 3, step: 106,600, lr:(3.750e-05,)] [eta: 3:41:39, time (data): 0.690 (0.000)] l1_latent_opt: 8.4937e-01 l1_pixel_opt: 9.2583e-02 fft_latent_opt: 6.4505e-01 +2025-10-30 11:01:02,816 INFO: [27..][epoch: 3, step: 106,700, lr:(3.750e-05,)] [eta: 3:40:26, time (data): 0.691 (0.000)] l1_latent_opt: 8.3688e-01 l1_pixel_opt: 7.3806e-02 fft_latent_opt: 6.3958e-01 +2025-10-30 11:02:11,650 INFO: [27..][epoch: 3, step: 106,800, lr:(3.750e-05,)] [eta: 3:39:13, time (data): 0.688 (0.000)] l1_latent_opt: 8.4653e-01 l1_pixel_opt: 8.1328e-02 fft_latent_opt: 6.4303e-01 +2025-10-30 11:03:20,500 INFO: [27..][epoch: 3, step: 106,900, lr:(3.750e-05,)] [eta: 3:38:00, time (data): 0.688 (0.000)] l1_latent_opt: 8.3695e-01 l1_pixel_opt: 7.3807e-02 fft_latent_opt: 6.4204e-01 +2025-10-30 11:04:29,551 INFO: [27..][epoch: 3, step: 107,000, lr:(3.750e-05,)] [eta: 3:36:47, time (data): 0.691 (0.000)] l1_latent_opt: 8.4685e-01 l1_pixel_opt: 7.7514e-02 fft_latent_opt: 6.3519e-01 +2025-10-30 11:05:38,725 INFO: [27..][epoch: 3, step: 107,100, lr:(3.750e-05,)] [eta: 3:35:35, time (data): 0.691 (0.000)] l1_latent_opt: 8.4231e-01 l1_pixel_opt: 7.7193e-02 fft_latent_opt: 6.4977e-01 +2025-10-30 11:06:47,606 INFO: [27..][epoch: 3, step: 107,200, lr:(3.750e-05,)] [eta: 3:34:22, time (data): 0.689 (0.000)] l1_latent_opt: 8.3643e-01 l1_pixel_opt: 7.5472e-02 fft_latent_opt: 6.3824e-01 +2025-10-30 11:07:56,543 INFO: [27..][epoch: 3, step: 107,300, lr:(3.750e-05,)] [eta: 3:33:09, time (data): 0.689 (0.000)] l1_latent_opt: 8.2980e-01 l1_pixel_opt: 7.3032e-02 fft_latent_opt: 6.3896e-01 +2025-10-30 11:09:06,121 INFO: [27..][epoch: 3, step: 107,400, lr:(3.750e-05,)] [eta: 3:31:56, time (data): 0.689 (0.000)] l1_latent_opt: 8.5286e-01 l1_pixel_opt: 8.8184e-02 fft_latent_opt: 6.4816e-01 +2025-10-30 11:10:15,022 INFO: [27..][epoch: 3, step: 107,500, lr:(3.750e-05,)] [eta: 3:30:43, time (data): 0.689 (0.000)] l1_latent_opt: 8.4225e-01 l1_pixel_opt: 7.8442e-02 fft_latent_opt: 6.4409e-01 +2025-10-30 11:11:23,968 INFO: [27..][epoch: 3, step: 107,600, lr:(3.750e-05,)] [eta: 3:29:31, time (data): 0.690 (0.000)] l1_latent_opt: 8.4613e-01 l1_pixel_opt: 7.6821e-02 fft_latent_opt: 6.4614e-01 +2025-10-30 11:12:32,925 INFO: [27..][epoch: 3, step: 107,700, lr:(3.750e-05,)] [eta: 3:28:18, time (data): 0.690 (0.000)] l1_latent_opt: 8.3420e-01 l1_pixel_opt: 6.9798e-02 fft_latent_opt: 6.4041e-01 +2025-10-30 11:13:41,998 INFO: [27..][epoch: 3, step: 107,800, lr:(3.750e-05,)] [eta: 3:27:05, time (data): 0.691 (0.000)] l1_latent_opt: 8.3869e-01 l1_pixel_opt: 7.8216e-02 fft_latent_opt: 6.4337e-01 +2025-10-30 11:14:51,505 INFO: [27..][epoch: 3, step: 107,900, lr:(3.750e-05,)] [eta: 3:25:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.3400e-01 l1_pixel_opt: 8.2184e-02 fft_latent_opt: 6.3972e-01 +2025-10-30 11:16:01,033 INFO: [27..][epoch: 3, step: 108,000, lr:(3.750e-05,)] [eta: 3:24:40, time (data): 0.690 (0.000)] l1_latent_opt: 8.3940e-01 l1_pixel_opt: 7.7100e-02 fft_latent_opt: 6.4057e-01 +2025-10-30 11:17:10,019 INFO: [27..][epoch: 3, step: 108,100, lr:(3.750e-05,)] [eta: 3:23:27, time (data): 0.690 (0.000)] l1_latent_opt: 8.4124e-01 l1_pixel_opt: 8.4698e-02 fft_latent_opt: 6.3916e-01 +2025-10-30 11:18:18,970 INFO: [27..][epoch: 3, step: 108,200, lr:(3.750e-05,)] [eta: 3:22:14, time (data): 0.689 (0.000)] l1_latent_opt: 8.4178e-01 l1_pixel_opt: 8.4288e-02 fft_latent_opt: 6.4275e-01 +2025-10-30 11:19:35,723 INFO: [27..][epoch: 3, step: 108,300, lr:(3.750e-05,)] [eta: 3:21:03, time (data): 0.738 (0.000)] l1_latent_opt: 8.3688e-01 l1_pixel_opt: 7.4782e-02 fft_latent_opt: 6.3851e-01 +2025-10-30 11:20:44,691 INFO: [27..][epoch: 3, step: 108,400, lr:(3.750e-05,)] [eta: 3:19:50, time (data): 0.690 (0.000)] l1_latent_opt: 8.4834e-01 l1_pixel_opt: 9.0280e-02 fft_latent_opt: 6.4381e-01 +2025-10-30 11:21:53,659 INFO: [27..][epoch: 3, step: 108,500, lr:(3.750e-05,)] [eta: 3:18:37, time (data): 0.690 (0.000)] l1_latent_opt: 8.4029e-01 l1_pixel_opt: 7.9774e-02 fft_latent_opt: 6.4268e-01 +2025-10-30 11:23:03,744 INFO: [27..][epoch: 3, step: 108,600, lr:(3.750e-05,)] [eta: 3:17:25, time (data): 0.708 (0.000)] l1_latent_opt: 8.3953e-01 l1_pixel_opt: 8.2498e-02 fft_latent_opt: 6.4358e-01 +2025-10-30 11:24:12,992 INFO: [27..][epoch: 3, step: 108,700, lr:(3.750e-05,)] [eta: 3:16:12, time (data): 0.698 (0.000)] l1_latent_opt: 8.4543e-01 l1_pixel_opt: 7.8246e-02 fft_latent_opt: 6.4019e-01 +2025-10-30 11:25:21,974 INFO: [27..][epoch: 3, step: 108,800, lr:(3.750e-05,)] [eta: 3:14:59, time (data): 0.690 (0.000)] l1_latent_opt: 8.3966e-01 l1_pixel_opt: 7.6395e-02 fft_latent_opt: 6.3814e-01 +2025-10-30 11:26:30,962 INFO: [27..][epoch: 3, step: 108,900, lr:(3.750e-05,)] [eta: 3:13:47, time (data): 0.690 (0.000)] l1_latent_opt: 8.3828e-01 l1_pixel_opt: 7.6214e-02 fft_latent_opt: 6.4425e-01 +2025-10-30 11:27:39,883 INFO: [27..][epoch: 3, step: 109,000, lr:(3.750e-05,)] [eta: 3:12:34, time (data): 0.689 (0.000)] l1_latent_opt: 8.4484e-01 l1_pixel_opt: 8.9767e-02 fft_latent_opt: 6.4962e-01 +2025-10-30 11:28:49,071 INFO: [27..][epoch: 3, step: 109,100, lr:(3.750e-05,)] [eta: 3:11:21, time (data): 0.691 (0.000)] l1_latent_opt: 8.3618e-01 l1_pixel_opt: 7.8586e-02 fft_latent_opt: 6.3833e-01 +2025-10-30 11:29:58,805 INFO: [27..][epoch: 3, step: 109,200, lr:(3.750e-05,)] [eta: 3:10:09, time (data): 0.700 (0.000)] l1_latent_opt: 8.3446e-01 l1_pixel_opt: 7.9241e-02 fft_latent_opt: 6.4526e-01 +2025-10-30 11:31:08,643 INFO: [27..][epoch: 3, step: 109,300, lr:(3.750e-05,)] [eta: 3:08:56, time (data): 0.699 (0.000)] l1_latent_opt: 8.4292e-01 l1_pixel_opt: 7.9555e-02 fft_latent_opt: 6.4840e-01 +2025-10-30 11:32:24,810 INFO: [27..][epoch: 3, step: 109,400, lr:(3.750e-05,)] [eta: 3:07:44, time (data): 0.811 (0.000)] l1_latent_opt: 8.4609e-01 l1_pixel_opt: 8.2426e-02 fft_latent_opt: 6.3809e-01 +2025-10-30 11:33:34,332 INFO: [27..][epoch: 3, step: 109,500, lr:(3.750e-05,)] [eta: 3:06:32, time (data): 0.737 (0.000)] l1_latent_opt: 8.4891e-01 l1_pixel_opt: 7.8364e-02 fft_latent_opt: 6.4463e-01 +2025-10-30 11:34:43,221 INFO: [27..][epoch: 3, step: 109,600, lr:(3.750e-05,)] [eta: 3:05:19, time (data): 0.689 (0.000)] l1_latent_opt: 8.5499e-01 l1_pixel_opt: 9.4185e-02 fft_latent_opt: 6.4296e-01 +2025-10-30 11:35:52,304 INFO: [27..][epoch: 3, step: 109,700, lr:(3.750e-05,)] [eta: 3:04:06, time (data): 0.690 (0.000)] l1_latent_opt: 8.3390e-01 l1_pixel_opt: 7.4922e-02 fft_latent_opt: 6.4050e-01 +2025-10-30 11:37:01,758 INFO: [27..][epoch: 3, step: 109,800, lr:(3.750e-05,)] [eta: 3:02:54, time (data): 0.697 (0.000)] l1_latent_opt: 8.4018e-01 l1_pixel_opt: 7.8384e-02 fft_latent_opt: 6.4900e-01 +2025-10-30 11:38:10,802 INFO: [27..][epoch: 3, step: 109,900, lr:(3.750e-05,)] [eta: 3:01:41, time (data): 0.693 (0.000)] l1_latent_opt: 8.4022e-01 l1_pixel_opt: 7.5885e-02 fft_latent_opt: 6.4238e-01 +2025-10-30 11:39:19,735 INFO: [27..][epoch: 3, step: 110,000, lr:(3.750e-05,)] [eta: 3:00:29, time (data): 0.689 (0.000)] l1_latent_opt: 8.3567e-01 l1_pixel_opt: 7.5252e-02 fft_latent_opt: 6.3677e-01 +2025-10-30 11:39:19,736 INFO: Saving models and training states. +2025-10-30 11:41:21,586 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8927 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2808 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1793 Best: 27.1829 @ 105000 iter + +2025-10-30 11:42:37,280 INFO: [27..][epoch: 3, step: 110,100, lr:(1.875e-05,)] [eta: 2:59:33, time (data): 0.734 (0.000)] l1_latent_opt: 8.3537e-01 l1_pixel_opt: 7.9713e-02 fft_latent_opt: 6.3896e-01 +2025-10-30 11:43:46,309 INFO: [27..][epoch: 3, step: 110,200, lr:(1.875e-05,)] [eta: 2:58:21, time (data): 0.689 (0.000)] l1_latent_opt: 8.4119e-01 l1_pixel_opt: 8.3190e-02 fft_latent_opt: 6.4074e-01 +2025-10-30 11:44:55,195 INFO: [27..][epoch: 3, step: 110,300, lr:(1.875e-05,)] [eta: 2:57:08, time (data): 0.689 (0.000)] l1_latent_opt: 8.4884e-01 l1_pixel_opt: 8.9675e-02 fft_latent_opt: 6.4743e-01 +2025-10-30 11:46:10,258 INFO: [27..][epoch: 3, step: 110,400, lr:(1.875e-05,)] [eta: 2:55:56, time (data): 0.810 (0.000)] l1_latent_opt: 8.4687e-01 l1_pixel_opt: 8.8782e-02 fft_latent_opt: 6.4350e-01 +2025-10-30 11:47:19,087 INFO: [27..][epoch: 3, step: 110,500, lr:(1.875e-05,)] [eta: 2:54:43, time (data): 0.729 (0.000)] l1_latent_opt: 8.4530e-01 l1_pixel_opt: 8.4095e-02 fft_latent_opt: 6.4217e-01 +2025-10-30 11:48:28,201 INFO: [27..][epoch: 3, step: 110,600, lr:(1.875e-05,)] [eta: 2:53:30, time (data): 0.693 (0.000)] l1_latent_opt: 8.4174e-01 l1_pixel_opt: 7.7250e-02 fft_latent_opt: 6.4505e-01 +2025-10-30 11:49:37,309 INFO: [27..][epoch: 3, step: 110,700, lr:(1.875e-05,)] [eta: 2:52:18, time (data): 0.692 (0.000)] l1_latent_opt: 8.3691e-01 l1_pixel_opt: 7.5692e-02 fft_latent_opt: 6.3794e-01 +2025-10-30 11:50:46,544 INFO: [27..][epoch: 3, step: 110,800, lr:(1.875e-05,)] [eta: 2:51:05, time (data): 0.696 (0.000)] l1_latent_opt: 8.3430e-01 l1_pixel_opt: 7.3836e-02 fft_latent_opt: 6.4449e-01 +2025-10-30 11:51:55,790 INFO: [27..][epoch: 3, step: 110,900, lr:(1.875e-05,)] [eta: 2:49:52, time (data): 0.694 (0.000)] l1_latent_opt: 8.4497e-01 l1_pixel_opt: 8.0015e-02 fft_latent_opt: 6.4796e-01 +2025-10-30 11:53:05,432 INFO: [27..][epoch: 3, step: 111,000, lr:(1.875e-05,)] [eta: 2:48:40, time (data): 0.695 (0.000)] l1_latent_opt: 8.4221e-01 l1_pixel_opt: 7.7208e-02 fft_latent_opt: 6.4287e-01 +2025-10-30 11:54:14,623 INFO: [27..][epoch: 3, step: 111,100, lr:(1.875e-05,)] [eta: 2:47:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.3724e-01 l1_pixel_opt: 7.6629e-02 fft_latent_opt: 6.3758e-01 +2025-10-30 11:55:24,164 INFO: [27..][epoch: 3, step: 111,200, lr:(1.875e-05,)] [eta: 2:46:14, time (data): 0.692 (0.000)] l1_latent_opt: 8.5125e-01 l1_pixel_opt: 8.8778e-02 fft_latent_opt: 6.4793e-01 +2025-10-30 11:56:33,401 INFO: [27..][epoch: 3, step: 111,300, lr:(1.875e-05,)] [eta: 2:45:02, time (data): 0.692 (0.000)] l1_latent_opt: 8.3970e-01 l1_pixel_opt: 7.7203e-02 fft_latent_opt: 6.4063e-01 +2025-10-30 11:57:42,382 INFO: [27..][epoch: 3, step: 111,400, lr:(1.875e-05,)] [eta: 2:43:49, time (data): 0.689 (0.000)] l1_latent_opt: 8.4060e-01 l1_pixel_opt: 8.4102e-02 fft_latent_opt: 6.4300e-01 +2025-10-30 11:58:51,294 INFO: [27..][epoch: 3, step: 111,500, lr:(1.875e-05,)] [eta: 2:42:36, time (data): 0.689 (0.000)] l1_latent_opt: 8.4852e-01 l1_pixel_opt: 8.0147e-02 fft_latent_opt: 6.4302e-01 +2025-10-30 12:00:00,208 INFO: [27..][epoch: 3, step: 111,600, lr:(1.875e-05,)] [eta: 2:41:24, time (data): 0.689 (0.000)] l1_latent_opt: 8.4279e-01 l1_pixel_opt: 8.7315e-02 fft_latent_opt: 6.3732e-01 +2025-10-30 12:01:09,129 INFO: [27..][epoch: 3, step: 111,700, lr:(1.875e-05,)] [eta: 2:40:11, time (data): 0.689 (0.000)] l1_latent_opt: 8.3173e-01 l1_pixel_opt: 6.7891e-02 fft_latent_opt: 6.4115e-01 +2025-10-30 12:02:18,077 INFO: [27..][epoch: 3, step: 111,800, lr:(1.875e-05,)] [eta: 2:38:58, time (data): 0.690 (0.000)] l1_latent_opt: 8.5138e-01 l1_pixel_opt: 9.1816e-02 fft_latent_opt: 6.5124e-01 +2025-10-30 12:03:27,003 INFO: [27..][epoch: 3, step: 111,900, lr:(1.875e-05,)] [eta: 2:37:46, time (data): 0.689 (0.000)] l1_latent_opt: 8.4064e-01 l1_pixel_opt: 7.1772e-02 fft_latent_opt: 6.4337e-01 +2025-10-30 12:04:35,904 INFO: [27..][epoch: 3, step: 112,000, lr:(1.875e-05,)] [eta: 2:36:33, time (data): 0.689 (0.000)] l1_latent_opt: 8.3799e-01 l1_pixel_opt: 7.7715e-02 fft_latent_opt: 6.4422e-01 +2025-10-30 12:05:44,878 INFO: [27..][epoch: 3, step: 112,100, lr:(1.875e-05,)] [eta: 2:35:20, time (data): 0.690 (0.000)] l1_latent_opt: 8.4443e-01 l1_pixel_opt: 8.4650e-02 fft_latent_opt: 6.4770e-01 +2025-10-30 12:06:54,262 INFO: [27..][epoch: 3, step: 112,200, lr:(1.875e-05,)] [eta: 2:34:08, time (data): 0.694 (0.000)] l1_latent_opt: 8.3333e-01 l1_pixel_opt: 7.7258e-02 fft_latent_opt: 6.3806e-01 +2025-10-30 12:08:03,191 INFO: [27..][epoch: 3, step: 112,300, lr:(1.875e-05,)] [eta: 2:32:55, time (data): 0.691 (0.000)] l1_latent_opt: 8.4320e-01 l1_pixel_opt: 8.2822e-02 fft_latent_opt: 6.3667e-01 +2025-10-30 12:09:12,103 INFO: [27..][epoch: 3, step: 112,400, lr:(1.875e-05,)] [eta: 2:31:43, time (data): 0.689 (0.000)] l1_latent_opt: 8.4135e-01 l1_pixel_opt: 7.8564e-02 fft_latent_opt: 6.3813e-01 +2025-10-30 12:10:20,987 INFO: [27..][epoch: 3, step: 112,500, lr:(1.875e-05,)] [eta: 2:30:30, time (data): 0.689 (0.000)] l1_latent_opt: 8.4458e-01 l1_pixel_opt: 8.0423e-02 fft_latent_opt: 6.4223e-01 +2025-10-30 12:11:29,880 INFO: [27..][epoch: 3, step: 112,600, lr:(1.875e-05,)] [eta: 2:29:17, time (data): 0.689 (0.000)] l1_latent_opt: 8.3996e-01 l1_pixel_opt: 7.0636e-02 fft_latent_opt: 6.4401e-01 +2025-10-30 12:12:38,780 INFO: [27..][epoch: 3, step: 112,700, lr:(1.875e-05,)] [eta: 2:28:05, time (data): 0.689 (0.000)] l1_latent_opt: 8.3833e-01 l1_pixel_opt: 7.9240e-02 fft_latent_opt: 6.4470e-01 +2025-10-30 12:13:47,695 INFO: [27..][epoch: 3, step: 112,800, lr:(1.875e-05,)] [eta: 2:26:52, time (data): 0.689 (0.000)] l1_latent_opt: 8.4436e-01 l1_pixel_opt: 8.2648e-02 fft_latent_opt: 6.3887e-01 +2025-10-30 12:14:56,599 INFO: [27..][epoch: 3, step: 112,900, lr:(1.875e-05,)] [eta: 2:25:39, time (data): 0.689 (0.000)] l1_latent_opt: 8.3583e-01 l1_pixel_opt: 7.0531e-02 fft_latent_opt: 6.3652e-01 +2025-10-30 12:16:05,500 INFO: [27..][epoch: 3, step: 113,000, lr:(1.875e-05,)] [eta: 2:24:27, time (data): 0.689 (0.000)] l1_latent_opt: 8.4531e-01 l1_pixel_opt: 8.2827e-02 fft_latent_opt: 6.4280e-01 +2025-10-30 12:17:14,402 INFO: [27..][epoch: 3, step: 113,100, lr:(1.875e-05,)] [eta: 2:23:14, time (data): 0.689 (0.000)] l1_latent_opt: 8.4505e-01 l1_pixel_opt: 8.6598e-02 fft_latent_opt: 6.4694e-01 +2025-10-30 12:18:31,227 INFO: [27..][epoch: 3, step: 113,200, lr:(1.875e-05,)] [eta: 2:22:03, time (data): 0.901 (0.000)] l1_latent_opt: 8.4315e-01 l1_pixel_opt: 8.5898e-02 fft_latent_opt: 6.3913e-01 +2025-10-30 12:19:40,164 INFO: [27..][epoch: 3, step: 113,300, lr:(1.875e-05,)] [eta: 2:20:50, time (data): 0.747 (0.000)] l1_latent_opt: 8.4603e-01 l1_pixel_opt: 8.4316e-02 fft_latent_opt: 6.4556e-01 +2025-10-30 12:20:49,101 INFO: [27..][epoch: 3, step: 113,400, lr:(1.875e-05,)] [eta: 2:19:37, time (data): 0.690 (0.000)] l1_latent_opt: 8.3840e-01 l1_pixel_opt: 7.9109e-02 fft_latent_opt: 6.3700e-01 +2025-10-30 12:21:58,078 INFO: [27..][epoch: 3, step: 113,500, lr:(1.875e-05,)] [eta: 2:18:25, time (data): 0.690 (0.000)] l1_latent_opt: 8.3548e-01 l1_pixel_opt: 7.8099e-02 fft_latent_opt: 6.4301e-01 +2025-10-30 12:23:07,036 INFO: [27..][epoch: 3, step: 113,600, lr:(1.875e-05,)] [eta: 2:17:12, time (data): 0.689 (0.000)] l1_latent_opt: 8.3695e-01 l1_pixel_opt: 8.3117e-02 fft_latent_opt: 6.4249e-01 +2025-10-30 12:24:16,082 INFO: [27..][epoch: 3, step: 113,700, lr:(1.875e-05,)] [eta: 2:16:00, time (data): 0.690 (0.000)] l1_latent_opt: 8.5043e-01 l1_pixel_opt: 8.9845e-02 fft_latent_opt: 6.4992e-01 +2025-10-30 12:25:25,094 INFO: [27..][epoch: 3, step: 113,800, lr:(1.875e-05,)] [eta: 2:14:47, time (data): 0.690 (0.000)] l1_latent_opt: 8.4039e-01 l1_pixel_opt: 7.6995e-02 fft_latent_opt: 6.4369e-01 +2025-10-30 12:26:34,107 INFO: [27..][epoch: 3, step: 113,900, lr:(1.875e-05,)] [eta: 2:13:35, time (data): 0.690 (0.000)] l1_latent_opt: 8.4213e-01 l1_pixel_opt: 7.9677e-02 fft_latent_opt: 6.4046e-01 +2025-10-30 12:27:43,178 INFO: [27..][epoch: 3, step: 114,000, lr:(1.875e-05,)] [eta: 2:12:22, time (data): 0.691 (0.000)] l1_latent_opt: 8.3858e-01 l1_pixel_opt: 7.8257e-02 fft_latent_opt: 6.3823e-01 +2025-10-30 12:28:52,237 INFO: [27..][epoch: 3, step: 114,100, lr:(1.875e-05,)] [eta: 2:11:10, time (data): 0.691 (0.000)] l1_latent_opt: 8.3717e-01 l1_pixel_opt: 7.8129e-02 fft_latent_opt: 6.4161e-01 +2025-10-30 12:30:01,276 INFO: [27..][epoch: 3, step: 114,200, lr:(1.875e-05,)] [eta: 2:09:57, time (data): 0.690 (0.000)] l1_latent_opt: 8.3954e-01 l1_pixel_opt: 7.7128e-02 fft_latent_opt: 6.4316e-01 +2025-10-30 12:31:10,299 INFO: [27..][epoch: 3, step: 114,300, lr:(1.875e-05,)] [eta: 2:08:45, time (data): 0.690 (0.000)] l1_latent_opt: 8.4009e-01 l1_pixel_opt: 7.9543e-02 fft_latent_opt: 6.4298e-01 +2025-10-30 12:32:19,317 INFO: [27..][epoch: 3, step: 114,400, lr:(1.875e-05,)] [eta: 2:07:32, time (data): 0.690 (0.000)] l1_latent_opt: 8.4547e-01 l1_pixel_opt: 8.3965e-02 fft_latent_opt: 6.4674e-01 +2025-10-30 12:33:28,307 INFO: [27..][epoch: 3, step: 114,500, lr:(1.875e-05,)] [eta: 2:06:20, time (data): 0.690 (0.000)] l1_latent_opt: 8.3813e-01 l1_pixel_opt: 7.6468e-02 fft_latent_opt: 6.3117e-01 +2025-10-30 12:34:37,275 INFO: [27..][epoch: 3, step: 114,600, lr:(1.875e-05,)] [eta: 2:05:07, time (data): 0.690 (0.000)] l1_latent_opt: 8.3821e-01 l1_pixel_opt: 7.5508e-02 fft_latent_opt: 6.4171e-01 +2025-10-30 12:35:46,264 INFO: [27..][epoch: 3, step: 114,700, lr:(1.875e-05,)] [eta: 2:03:55, time (data): 0.690 (0.000)] l1_latent_opt: 8.3564e-01 l1_pixel_opt: 8.3634e-02 fft_latent_opt: 6.3796e-01 +2025-10-30 12:36:55,267 INFO: [27..][epoch: 3, step: 114,800, lr:(1.875e-05,)] [eta: 2:02:42, time (data): 0.690 (0.000)] l1_latent_opt: 8.4780e-01 l1_pixel_opt: 8.6761e-02 fft_latent_opt: 6.3792e-01 +2025-10-30 12:38:04,866 INFO: [27..][epoch: 3, step: 114,900, lr:(1.875e-05,)] [eta: 2:01:30, time (data): 0.695 (0.000)] l1_latent_opt: 8.4002e-01 l1_pixel_opt: 8.0822e-02 fft_latent_opt: 6.4361e-01 +2025-10-30 12:39:13,867 INFO: [27..][epoch: 3, step: 115,000, lr:(1.875e-05,)] [eta: 2:00:17, time (data): 0.690 (0.000)] l1_latent_opt: 8.5094e-01 l1_pixel_opt: 8.5219e-02 fft_latent_opt: 6.4991e-01 +2025-10-30 12:39:13,868 INFO: Saving models and training states. +2025-10-30 12:41:18,227 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8942 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2846 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1809 Best: 27.1829 @ 105000 iter + +2025-10-30 12:42:27,232 INFO: [27..][epoch: 3, step: 115,100, lr:(1.875e-05,)] [eta: 1:59:16, time (data): 0.690 (0.000)] l1_latent_opt: 8.3960e-01 l1_pixel_opt: 7.5368e-02 fft_latent_opt: 6.4665e-01 +2025-10-30 12:43:36,284 INFO: [27..][epoch: 3, step: 115,200, lr:(1.875e-05,)] [eta: 1:58:03, time (data): 0.692 (0.000)] l1_latent_opt: 8.4777e-01 l1_pixel_opt: 8.4484e-02 fft_latent_opt: 6.4266e-01 +2025-10-30 12:44:45,475 INFO: [27..][epoch: 3, step: 115,300, lr:(1.875e-05,)] [eta: 1:56:50, time (data): 0.692 (0.000)] l1_latent_opt: 8.4703e-01 l1_pixel_opt: 8.0106e-02 fft_latent_opt: 6.4081e-01 +2025-10-30 12:45:54,359 INFO: [27..][epoch: 3, step: 115,400, lr:(1.875e-05,)] [eta: 1:55:38, time (data): 0.689 (0.000)] l1_latent_opt: 8.4248e-01 l1_pixel_opt: 7.9056e-02 fft_latent_opt: 6.4405e-01 +2025-10-30 12:47:03,271 INFO: [27..][epoch: 3, step: 115,500, lr:(1.875e-05,)] [eta: 1:54:25, time (data): 0.689 (0.000)] l1_latent_opt: 8.3812e-01 l1_pixel_opt: 7.6928e-02 fft_latent_opt: 6.4436e-01 +2025-10-30 12:48:12,165 INFO: [27..][epoch: 3, step: 115,600, lr:(1.875e-05,)] [eta: 1:53:13, time (data): 0.689 (0.000)] l1_latent_opt: 8.4159e-01 l1_pixel_opt: 8.4910e-02 fft_latent_opt: 6.3676e-01 +2025-10-30 12:49:21,028 INFO: [27..][epoch: 3, step: 115,700, lr:(1.875e-05,)] [eta: 1:52:00, time (data): 0.689 (0.000)] l1_latent_opt: 8.3837e-01 l1_pixel_opt: 7.7776e-02 fft_latent_opt: 6.4113e-01 +2025-10-30 12:50:30,072 INFO: [27..][epoch: 3, step: 115,800, lr:(1.875e-05,)] [eta: 1:50:48, time (data): 0.696 (0.000)] l1_latent_opt: 8.5004e-01 l1_pixel_opt: 8.6553e-02 fft_latent_opt: 6.4205e-01 +2025-10-30 12:51:38,987 INFO: [27..][epoch: 3, step: 115,900, lr:(1.875e-05,)] [eta: 1:49:35, time (data): 0.691 (0.000)] l1_latent_opt: 8.3910e-01 l1_pixel_opt: 7.3957e-02 fft_latent_opt: 6.3905e-01 +2025-10-30 12:52:48,099 INFO: [27..][epoch: 3, step: 116,000, lr:(1.875e-05,)] [eta: 1:48:23, time (data): 0.689 (0.000)] l1_latent_opt: 8.4262e-01 l1_pixel_opt: 8.2683e-02 fft_latent_opt: 6.4585e-01 +2025-10-30 12:53:57,253 INFO: [27..][epoch: 3, step: 116,100, lr:(1.875e-05,)] [eta: 1:47:10, time (data): 0.691 (0.000)] l1_latent_opt: 8.4583e-01 l1_pixel_opt: 9.2790e-02 fft_latent_opt: 6.4155e-01 +2025-10-30 12:55:06,105 INFO: [27..][epoch: 3, step: 116,200, lr:(1.875e-05,)] [eta: 1:45:58, time (data): 0.688 (0.000)] l1_latent_opt: 8.4701e-01 l1_pixel_opt: 8.7509e-02 fft_latent_opt: 6.3988e-01 +2025-10-30 12:56:14,967 INFO: [27..][epoch: 3, step: 116,300, lr:(1.875e-05,)] [eta: 1:44:45, time (data): 0.689 (0.000)] l1_latent_opt: 8.4408e-01 l1_pixel_opt: 8.3005e-02 fft_latent_opt: 6.3624e-01 +2025-10-30 12:57:23,848 INFO: [27..][epoch: 3, step: 116,400, lr:(1.875e-05,)] [eta: 1:43:33, time (data): 0.688 (0.000)] l1_latent_opt: 8.3413e-01 l1_pixel_opt: 7.8008e-02 fft_latent_opt: 6.4063e-01 +2025-10-30 12:58:32,703 INFO: [27..][epoch: 3, step: 116,500, lr:(1.875e-05,)] [eta: 1:42:20, time (data): 0.689 (0.000)] l1_latent_opt: 8.4591e-01 l1_pixel_opt: 8.7050e-02 fft_latent_opt: 6.4318e-01 +2025-10-30 12:59:41,543 INFO: [27..][epoch: 3, step: 116,600, lr:(1.875e-05,)] [eta: 1:41:08, time (data): 0.688 (0.000)] l1_latent_opt: 8.4440e-01 l1_pixel_opt: 8.0797e-02 fft_latent_opt: 6.4462e-01 +2025-10-30 13:00:50,422 INFO: [27..][epoch: 3, step: 116,700, lr:(1.875e-05,)] [eta: 1:39:55, time (data): 0.689 (0.000)] l1_latent_opt: 8.3022e-01 l1_pixel_opt: 7.0325e-02 fft_latent_opt: 6.4005e-01 +2025-10-30 13:01:59,267 INFO: [27..][epoch: 3, step: 116,800, lr:(1.875e-05,)] [eta: 1:38:43, time (data): 0.689 (0.000)] l1_latent_opt: 8.4292e-01 l1_pixel_opt: 8.4452e-02 fft_latent_opt: 6.4036e-01 +2025-10-30 13:03:08,152 INFO: [27..][epoch: 3, step: 116,900, lr:(1.875e-05,)] [eta: 1:37:30, time (data): 0.689 (0.000)] l1_latent_opt: 8.3894e-01 l1_pixel_opt: 8.4748e-02 fft_latent_opt: 6.5032e-01 +2025-10-30 13:04:17,385 INFO: [27..][epoch: 3, step: 117,000, lr:(1.875e-05,)] [eta: 1:36:18, time (data): 0.690 (0.000)] l1_latent_opt: 8.5121e-01 l1_pixel_opt: 8.4238e-02 fft_latent_opt: 6.4684e-01 +2025-10-30 13:05:26,267 INFO: [27..][epoch: 3, step: 117,100, lr:(1.875e-05,)] [eta: 1:35:05, time (data): 0.689 (0.000)] l1_latent_opt: 8.3125e-01 l1_pixel_opt: 7.1700e-02 fft_latent_opt: 6.3588e-01 +2025-10-30 13:06:35,215 INFO: [27..][epoch: 3, step: 117,200, lr:(1.875e-05,)] [eta: 1:33:53, time (data): 0.689 (0.000)] l1_latent_opt: 8.4791e-01 l1_pixel_opt: 7.9233e-02 fft_latent_opt: 6.4435e-01 +2025-10-30 13:07:44,110 INFO: [27..][epoch: 3, step: 117,300, lr:(1.875e-05,)] [eta: 1:32:40, time (data): 0.689 (0.000)] l1_latent_opt: 8.4277e-01 l1_pixel_opt: 8.1027e-02 fft_latent_opt: 6.4170e-01 +2025-10-30 13:08:52,994 INFO: [27..][epoch: 3, step: 117,400, lr:(1.875e-05,)] [eta: 1:31:28, time (data): 0.689 (0.000)] l1_latent_opt: 8.3076e-01 l1_pixel_opt: 7.4863e-02 fft_latent_opt: 6.3174e-01 +2025-10-30 13:10:01,872 INFO: [27..][epoch: 3, step: 117,500, lr:(1.875e-05,)] [eta: 1:30:15, time (data): 0.689 (0.000)] l1_latent_opt: 8.4981e-01 l1_pixel_opt: 9.2048e-02 fft_latent_opt: 6.4034e-01 +2025-10-30 13:11:10,776 INFO: [27..][epoch: 3, step: 117,600, lr:(1.875e-05,)] [eta: 1:29:03, time (data): 0.689 (0.000)] l1_latent_opt: 8.3680e-01 l1_pixel_opt: 7.5379e-02 fft_latent_opt: 6.3658e-01 +2025-10-30 13:12:19,663 INFO: [27..][epoch: 3, step: 117,700, lr:(1.875e-05,)] [eta: 1:27:51, time (data): 0.689 (0.000)] l1_latent_opt: 8.5277e-01 l1_pixel_opt: 9.4690e-02 fft_latent_opt: 6.4738e-01 +2025-10-30 13:13:28,542 INFO: [27..][epoch: 3, step: 117,800, lr:(1.875e-05,)] [eta: 1:26:38, time (data): 0.689 (0.000)] l1_latent_opt: 8.4919e-01 l1_pixel_opt: 9.5221e-02 fft_latent_opt: 6.4358e-01 +2025-10-30 13:14:37,577 INFO: [27..][epoch: 3, step: 117,900, lr:(1.875e-05,)] [eta: 1:25:26, time (data): 0.690 (0.000)] l1_latent_opt: 8.5257e-01 l1_pixel_opt: 8.7354e-02 fft_latent_opt: 6.4971e-01 +2025-10-30 13:15:46,485 INFO: [27..][epoch: 3, step: 118,000, lr:(1.875e-05,)] [eta: 1:24:13, time (data): 0.688 (0.000)] l1_latent_opt: 8.4430e-01 l1_pixel_opt: 7.7171e-02 fft_latent_opt: 6.3802e-01 +2025-10-30 13:16:55,338 INFO: [27..][epoch: 3, step: 118,100, lr:(1.875e-05,)] [eta: 1:23:01, time (data): 0.688 (0.000)] l1_latent_opt: 8.4739e-01 l1_pixel_opt: 8.3716e-02 fft_latent_opt: 6.4148e-01 +2025-10-30 13:18:04,500 INFO: [27..][epoch: 3, step: 118,200, lr:(1.875e-05,)] [eta: 1:21:49, time (data): 0.692 (0.000)] l1_latent_opt: 8.4175e-01 l1_pixel_opt: 8.7460e-02 fft_latent_opt: 6.4840e-01 +2025-10-30 13:19:13,578 INFO: [27..][epoch: 3, step: 118,300, lr:(1.875e-05,)] [eta: 1:20:36, time (data): 0.691 (0.000)] l1_latent_opt: 8.4781e-01 l1_pixel_opt: 8.7576e-02 fft_latent_opt: 6.4424e-01 +2025-10-30 13:20:22,659 INFO: [27..][epoch: 3, step: 118,400, lr:(1.875e-05,)] [eta: 1:19:24, time (data): 0.688 (0.000)] l1_latent_opt: 8.3935e-01 l1_pixel_opt: 7.7659e-02 fft_latent_opt: 6.4395e-01 +2025-10-30 13:21:31,533 INFO: [27..][epoch: 3, step: 118,500, lr:(1.875e-05,)] [eta: 1:18:11, time (data): 0.689 (0.000)] l1_latent_opt: 8.4265e-01 l1_pixel_opt: 8.2970e-02 fft_latent_opt: 6.4641e-01 +2025-10-30 13:22:40,375 INFO: [27..][epoch: 3, step: 118,600, lr:(1.875e-05,)] [eta: 1:16:59, time (data): 0.688 (0.000)] l1_latent_opt: 8.4255e-01 l1_pixel_opt: 8.0146e-02 fft_latent_opt: 6.4879e-01 +2025-10-30 13:23:49,228 INFO: [27..][epoch: 3, step: 118,700, lr:(1.875e-05,)] [eta: 1:15:47, time (data): 0.688 (0.000)] l1_latent_opt: 8.4050e-01 l1_pixel_opt: 8.1925e-02 fft_latent_opt: 6.4639e-01 +2025-10-30 13:24:58,097 INFO: [27..][epoch: 3, step: 118,800, lr:(1.875e-05,)] [eta: 1:14:34, time (data): 0.688 (0.000)] l1_latent_opt: 8.4420e-01 l1_pixel_opt: 8.8814e-02 fft_latent_opt: 6.4474e-01 +2025-10-30 13:26:15,169 INFO: [27..][epoch: 3, step: 118,900, lr:(1.875e-05,)] [eta: 1:13:22, time (data): 0.764 (0.000)] l1_latent_opt: 8.4663e-01 l1_pixel_opt: 8.3337e-02 fft_latent_opt: 6.3873e-01 +2025-10-30 13:27:24,132 INFO: [27..][epoch: 3, step: 119,000, lr:(1.875e-05,)] [eta: 1:12:10, time (data): 0.689 (0.000)] l1_latent_opt: 8.4054e-01 l1_pixel_opt: 7.5065e-02 fft_latent_opt: 6.4341e-01 +2025-10-30 13:28:33,057 INFO: [27..][epoch: 3, step: 119,100, lr:(1.875e-05,)] [eta: 1:10:58, time (data): 0.689 (0.000)] l1_latent_opt: 8.4075e-01 l1_pixel_opt: 8.3230e-02 fft_latent_opt: 6.4730e-01 +2025-10-30 13:29:41,973 INFO: [27..][epoch: 3, step: 119,200, lr:(1.875e-05,)] [eta: 1:09:45, time (data): 0.689 (0.000)] l1_latent_opt: 8.4671e-01 l1_pixel_opt: 8.2149e-02 fft_latent_opt: 6.4114e-01 +2025-10-30 13:30:50,927 INFO: [27..][epoch: 3, step: 119,300, lr:(1.875e-05,)] [eta: 1:08:33, time (data): 0.690 (0.000)] l1_latent_opt: 8.4538e-01 l1_pixel_opt: 8.1323e-02 fft_latent_opt: 6.3765e-01 +2025-10-30 13:31:59,843 INFO: [27..][epoch: 3, step: 119,400, lr:(1.875e-05,)] [eta: 1:07:21, time (data): 0.689 (0.000)] l1_latent_opt: 8.4230e-01 l1_pixel_opt: 8.5638e-02 fft_latent_opt: 6.4213e-01 +2025-10-30 13:33:08,758 INFO: [27..][epoch: 3, step: 119,500, lr:(1.875e-05,)] [eta: 1:06:08, time (data): 0.689 (0.000)] l1_latent_opt: 8.3782e-01 l1_pixel_opt: 7.7704e-02 fft_latent_opt: 6.3286e-01 +2025-10-30 13:34:17,849 INFO: [27..][epoch: 3, step: 119,600, lr:(1.875e-05,)] [eta: 1:04:56, time (data): 0.699 (0.000)] l1_latent_opt: 8.4456e-01 l1_pixel_opt: 8.0366e-02 fft_latent_opt: 6.4712e-01 +2025-10-30 13:35:27,312 INFO: [27..][epoch: 3, step: 119,700, lr:(1.875e-05,)] [eta: 1:03:44, time (data): 0.695 (0.000)] l1_latent_opt: 8.4520e-01 l1_pixel_opt: 8.1058e-02 fft_latent_opt: 6.5111e-01 +2025-10-30 13:36:36,258 INFO: [27..][epoch: 3, step: 119,800, lr:(1.875e-05,)] [eta: 1:02:31, time (data): 0.689 (0.000)] l1_latent_opt: 8.3836e-01 l1_pixel_opt: 7.7222e-02 fft_latent_opt: 6.4241e-01 +2025-10-30 13:37:45,207 INFO: [27..][epoch: 3, step: 119,900, lr:(1.875e-05,)] [eta: 1:01:19, time (data): 0.689 (0.000)] l1_latent_opt: 8.3410e-01 l1_pixel_opt: 7.4287e-02 fft_latent_opt: 6.4106e-01 +2025-10-30 13:38:54,588 INFO: [27..][epoch: 3, step: 120,000, lr:(1.875e-05,)] [eta: 1:00:07, time (data): 0.689 (0.000)] l1_latent_opt: 8.2493e-01 l1_pixel_opt: 6.7055e-02 fft_latent_opt: 6.3221e-01 +2025-10-30 13:38:54,589 INFO: Saving models and training states. +2025-10-30 13:40:55,727 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8930 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2815 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1788 Best: 27.1829 @ 105000 iter + +2025-10-30 13:42:04,819 INFO: [27..][epoch: 3, step: 120,100, lr:(1.875e-05,)] [eta: 0:58:59, time (data): 0.691 (0.000)] l1_latent_opt: 8.4170e-01 l1_pixel_opt: 8.0279e-02 fft_latent_opt: 6.4240e-01 +2025-10-30 13:43:13,680 INFO: [27..][epoch: 3, step: 120,200, lr:(1.875e-05,)] [eta: 0:57:47, time (data): 0.688 (0.000)] l1_latent_opt: 8.4262e-01 l1_pixel_opt: 7.7972e-02 fft_latent_opt: 6.4644e-01 +2025-10-30 13:44:22,496 INFO: [27..][epoch: 3, step: 120,300, lr:(1.875e-05,)] [eta: 0:56:35, time (data): 0.688 (0.000)] l1_latent_opt: 8.4494e-01 l1_pixel_opt: 8.2158e-02 fft_latent_opt: 6.4221e-01 +2025-10-30 13:45:31,376 INFO: [27..][epoch: 3, step: 120,400, lr:(1.875e-05,)] [eta: 0:55:22, time (data): 0.690 (0.000)] l1_latent_opt: 8.3402e-01 l1_pixel_opt: 7.7319e-02 fft_latent_opt: 6.3722e-01 +2025-10-30 13:46:40,297 INFO: [27..][epoch: 3, step: 120,500, lr:(1.875e-05,)] [eta: 0:54:10, time (data): 0.689 (0.000)] l1_latent_opt: 8.4287e-01 l1_pixel_opt: 8.5108e-02 fft_latent_opt: 6.3933e-01 +2025-10-30 13:47:49,182 INFO: [27..][epoch: 3, step: 120,600, lr:(1.875e-05,)] [eta: 0:52:58, time (data): 0.689 (0.000)] l1_latent_opt: 8.3808e-01 l1_pixel_opt: 7.4620e-02 fft_latent_opt: 6.3824e-01 +2025-10-30 13:48:58,072 INFO: [27..][epoch: 3, step: 120,700, lr:(1.875e-05,)] [eta: 0:51:45, time (data): 0.689 (0.000)] l1_latent_opt: 8.4031e-01 l1_pixel_opt: 7.9386e-02 fft_latent_opt: 6.4087e-01 +2025-10-30 13:50:06,957 INFO: [27..][epoch: 3, step: 120,800, lr:(1.875e-05,)] [eta: 0:50:33, time (data): 0.689 (0.000)] l1_latent_opt: 8.4253e-01 l1_pixel_opt: 7.9340e-02 fft_latent_opt: 6.5030e-01 +2025-10-30 13:51:15,801 INFO: [27..][epoch: 3, step: 120,900, lr:(1.875e-05,)] [eta: 0:49:21, time (data): 0.688 (0.000)] l1_latent_opt: 8.4778e-01 l1_pixel_opt: 9.3269e-02 fft_latent_opt: 6.4637e-01 +2025-10-30 13:52:24,682 INFO: [27..][epoch: 3, step: 121,000, lr:(1.875e-05,)] [eta: 0:48:08, time (data): 0.689 (0.000)] l1_latent_opt: 8.4238e-01 l1_pixel_opt: 8.1448e-02 fft_latent_opt: 6.4025e-01 +2025-10-30 13:53:33,537 INFO: [27..][epoch: 3, step: 121,100, lr:(1.875e-05,)] [eta: 0:46:56, time (data): 0.689 (0.000)] l1_latent_opt: 8.3761e-01 l1_pixel_opt: 7.6968e-02 fft_latent_opt: 6.2826e-01 +2025-10-30 13:54:42,400 INFO: [27..][epoch: 3, step: 121,200, lr:(1.875e-05,)] [eta: 0:45:43, time (data): 0.689 (0.000)] l1_latent_opt: 8.3610e-01 l1_pixel_opt: 7.3134e-02 fft_latent_opt: 6.4551e-01 +2025-10-30 13:55:51,265 INFO: [27..][epoch: 3, step: 121,300, lr:(1.875e-05,)] [eta: 0:44:31, time (data): 0.689 (0.000)] l1_latent_opt: 8.4672e-01 l1_pixel_opt: 8.5680e-02 fft_latent_opt: 6.4468e-01 +2025-10-30 13:57:00,173 INFO: [27..][epoch: 3, step: 121,400, lr:(1.875e-05,)] [eta: 0:43:19, time (data): 0.689 (0.000)] l1_latent_opt: 8.4828e-01 l1_pixel_opt: 8.7306e-02 fft_latent_opt: 6.4437e-01 +2025-10-30 13:58:09,020 INFO: [27..][epoch: 3, step: 121,500, lr:(1.875e-05,)] [eta: 0:42:06, time (data): 0.688 (0.000)] l1_latent_opt: 8.3398e-01 l1_pixel_opt: 7.6110e-02 fft_latent_opt: 6.4064e-01 +2025-10-30 13:59:17,889 INFO: [27..][epoch: 3, step: 121,600, lr:(1.875e-05,)] [eta: 0:40:54, time (data): 0.689 (0.000)] l1_latent_opt: 8.3676e-01 l1_pixel_opt: 7.5786e-02 fft_latent_opt: 6.3398e-01 +2025-10-30 14:00:26,860 INFO: [27..][epoch: 3, step: 121,700, lr:(1.875e-05,)] [eta: 0:39:42, time (data): 0.690 (0.000)] l1_latent_opt: 8.4343e-01 l1_pixel_opt: 7.9749e-02 fft_latent_opt: 6.4239e-01 +2025-10-30 14:01:35,693 INFO: [27..][epoch: 3, step: 121,800, lr:(1.875e-05,)] [eta: 0:38:30, time (data): 0.689 (0.000)] l1_latent_opt: 8.3879e-01 l1_pixel_opt: 8.3792e-02 fft_latent_opt: 6.3847e-01 +2025-10-30 14:02:44,548 INFO: [27..][epoch: 3, step: 121,900, lr:(1.875e-05,)] [eta: 0:37:17, time (data): 0.689 (0.000)] l1_latent_opt: 8.3553e-01 l1_pixel_opt: 7.6923e-02 fft_latent_opt: 6.3241e-01 +2025-10-30 14:03:53,366 INFO: [27..][epoch: 3, step: 122,000, lr:(1.875e-05,)] [eta: 0:36:05, time (data): 0.688 (0.000)] l1_latent_opt: 8.5236e-01 l1_pixel_opt: 8.8097e-02 fft_latent_opt: 6.4511e-01 +2025-10-30 14:05:02,206 INFO: [27..][epoch: 3, step: 122,100, lr:(1.875e-05,)] [eta: 0:34:53, time (data): 0.688 (0.000)] l1_latent_opt: 8.4228e-01 l1_pixel_opt: 8.1306e-02 fft_latent_opt: 6.4299e-01 +2025-10-30 14:06:11,043 INFO: [27..][epoch: 3, step: 122,200, lr:(1.875e-05,)] [eta: 0:33:40, time (data): 0.688 (0.000)] l1_latent_opt: 8.4269e-01 l1_pixel_opt: 8.2516e-02 fft_latent_opt: 6.4455e-01 +2025-10-30 14:07:19,881 INFO: [27..][epoch: 3, step: 122,300, lr:(1.875e-05,)] [eta: 0:32:28, time (data): 0.688 (0.000)] l1_latent_opt: 8.4881e-01 l1_pixel_opt: 8.4279e-02 fft_latent_opt: 6.4569e-01 +2025-10-30 14:08:28,726 INFO: [27..][epoch: 3, step: 122,400, lr:(1.875e-05,)] [eta: 0:31:16, time (data): 0.688 (0.000)] l1_latent_opt: 8.4309e-01 l1_pixel_opt: 8.6872e-02 fft_latent_opt: 6.4554e-01 +2025-10-30 14:09:37,570 INFO: [27..][epoch: 3, step: 122,500, lr:(1.875e-05,)] [eta: 0:30:04, time (data): 0.688 (0.000)] l1_latent_opt: 8.2901e-01 l1_pixel_opt: 7.5497e-02 fft_latent_opt: 6.3255e-01 +2025-10-30 14:10:46,402 INFO: [27..][epoch: 3, step: 122,600, lr:(1.875e-05,)] [eta: 0:28:51, time (data): 0.688 (0.000)] l1_latent_opt: 8.4179e-01 l1_pixel_opt: 7.5894e-02 fft_latent_opt: 6.4240e-01 +2025-10-30 14:11:55,693 INFO: [27..][epoch: 3, step: 122,700, lr:(1.875e-05,)] [eta: 0:27:39, time (data): 0.693 (0.000)] l1_latent_opt: 8.3753e-01 l1_pixel_opt: 8.1009e-02 fft_latent_opt: 6.4193e-01 +2025-10-30 14:13:04,890 INFO: [27..][epoch: 3, step: 122,800, lr:(1.875e-05,)] [eta: 0:26:27, time (data): 0.693 (0.000)] l1_latent_opt: 8.3788e-01 l1_pixel_opt: 7.5765e-02 fft_latent_opt: 6.4205e-01 +2025-10-30 14:14:14,360 INFO: [27..][epoch: 4, step: 122,900, lr:(1.875e-05,)] [eta: 0:25:15, time (data): 0.695 (0.003)] l1_latent_opt: 8.4097e-01 l1_pixel_opt: 8.5140e-02 fft_latent_opt: 6.4351e-01 +2025-10-30 14:15:23,285 INFO: [27..][epoch: 4, step: 123,000, lr:(1.875e-05,)] [eta: 0:24:02, time (data): 0.692 (0.001)] l1_latent_opt: 8.3887e-01 l1_pixel_opt: 8.7705e-02 fft_latent_opt: 6.4328e-01 +2025-10-30 14:16:32,236 INFO: [27..][epoch: 4, step: 123,100, lr:(1.875e-05,)] [eta: 0:22:50, time (data): 0.690 (0.000)] l1_latent_opt: 8.3634e-01 l1_pixel_opt: 7.4160e-02 fft_latent_opt: 6.4215e-01 +2025-10-30 14:17:41,275 INFO: [27..][epoch: 4, step: 123,200, lr:(1.875e-05,)] [eta: 0:21:38, time (data): 0.690 (0.000)] l1_latent_opt: 8.4481e-01 l1_pixel_opt: 8.9896e-02 fft_latent_opt: 6.4542e-01 +2025-10-30 14:18:50,135 INFO: [27..][epoch: 4, step: 123,300, lr:(1.875e-05,)] [eta: 0:20:26, time (data): 0.689 (0.000)] l1_latent_opt: 8.5003e-01 l1_pixel_opt: 8.7203e-02 fft_latent_opt: 6.3852e-01 +2025-10-30 14:19:59,098 INFO: [27..][epoch: 4, step: 123,400, lr:(1.875e-05,)] [eta: 0:19:14, time (data): 0.689 (0.000)] l1_latent_opt: 8.3639e-01 l1_pixel_opt: 7.6815e-02 fft_latent_opt: 6.4545e-01 +2025-10-30 14:21:08,942 INFO: [27..][epoch: 4, step: 123,500, lr:(1.875e-05,)] [eta: 0:18:01, time (data): 0.700 (0.000)] l1_latent_opt: 8.3520e-01 l1_pixel_opt: 7.2527e-02 fft_latent_opt: 6.3315e-01 +2025-10-30 14:22:17,795 INFO: [27..][epoch: 4, step: 123,600, lr:(1.875e-05,)] [eta: 0:16:49, time (data): 0.694 (0.000)] l1_latent_opt: 8.4539e-01 l1_pixel_opt: 8.6054e-02 fft_latent_opt: 6.3725e-01 +2025-10-30 14:23:26,774 INFO: [27..][epoch: 4, step: 123,700, lr:(1.875e-05,)] [eta: 0:15:37, time (data): 0.690 (0.000)] l1_latent_opt: 8.3321e-01 l1_pixel_opt: 8.2672e-02 fft_latent_opt: 6.3766e-01 +2025-10-30 14:24:35,645 INFO: [27..][epoch: 4, step: 123,800, lr:(1.875e-05,)] [eta: 0:14:25, time (data): 0.689 (0.000)] l1_latent_opt: 8.4856e-01 l1_pixel_opt: 8.6446e-02 fft_latent_opt: 6.4373e-01 +2025-10-30 14:25:44,538 INFO: [27..][epoch: 4, step: 123,900, lr:(1.875e-05,)] [eta: 0:13:13, time (data): 0.689 (0.000)] l1_latent_opt: 8.4021e-01 l1_pixel_opt: 8.8852e-02 fft_latent_opt: 6.3880e-01 +2025-10-30 14:26:53,385 INFO: [27..][epoch: 4, step: 124,000, lr:(1.875e-05,)] [eta: 0:12:00, time (data): 0.689 (0.000)] l1_latent_opt: 8.4572e-01 l1_pixel_opt: 8.9590e-02 fft_latent_opt: 6.4581e-01 +2025-10-30 14:28:02,242 INFO: [27..][epoch: 4, step: 124,100, lr:(1.875e-05,)] [eta: 0:10:48, time (data): 0.689 (0.000)] l1_latent_opt: 8.4474e-01 l1_pixel_opt: 7.6825e-02 fft_latent_opt: 6.4415e-01 +2025-10-30 14:29:11,106 INFO: [27..][epoch: 4, step: 124,200, lr:(1.875e-05,)] [eta: 0:09:36, time (data): 0.689 (0.000)] l1_latent_opt: 8.4073e-01 l1_pixel_opt: 7.9252e-02 fft_latent_opt: 6.4215e-01 +2025-10-30 14:30:20,008 INFO: [27..][epoch: 4, step: 124,300, lr:(1.875e-05,)] [eta: 0:08:24, time (data): 0.689 (0.000)] l1_latent_opt: 8.4759e-01 l1_pixel_opt: 8.3615e-02 fft_latent_opt: 6.4387e-01 +2025-10-30 14:31:29,003 INFO: [27..][epoch: 4, step: 124,400, lr:(1.875e-05,)] [eta: 0:07:12, time (data): 0.690 (0.000)] l1_latent_opt: 8.4347e-01 l1_pixel_opt: 8.3624e-02 fft_latent_opt: 6.4066e-01 +2025-10-30 14:32:37,902 INFO: [27..][epoch: 4, step: 124,500, lr:(1.875e-05,)] [eta: 0:05:59, time (data): 0.689 (0.000)] l1_latent_opt: 8.5523e-01 l1_pixel_opt: 9.2067e-02 fft_latent_opt: 6.5100e-01 +2025-10-30 14:33:46,766 INFO: [27..][epoch: 4, step: 124,600, lr:(1.875e-05,)] [eta: 0:04:47, time (data): 0.689 (0.000)] l1_latent_opt: 8.4001e-01 l1_pixel_opt: 7.9403e-02 fft_latent_opt: 6.4276e-01 +2025-10-30 14:34:55,755 INFO: [27..][epoch: 4, step: 124,700, lr:(1.875e-05,)] [eta: 0:03:35, time (data): 0.690 (0.000)] l1_latent_opt: 8.3209e-01 l1_pixel_opt: 8.1779e-02 fft_latent_opt: 6.3613e-01 +2025-10-30 14:36:04,620 INFO: [27..][epoch: 4, step: 124,800, lr:(1.875e-05,)] [eta: 0:02:23, time (data): 0.689 (0.000)] l1_latent_opt: 8.3161e-01 l1_pixel_opt: 7.7533e-02 fft_latent_opt: 6.4151e-01 +2025-10-30 14:37:13,471 INFO: [27..][epoch: 4, step: 124,900, lr:(1.875e-05,)] [eta: 0:01:11, time (data): 0.688 (0.000)] l1_latent_opt: 8.3130e-01 l1_pixel_opt: 7.2419e-02 fft_latent_opt: 6.3855e-01 +2025-10-30 14:38:22,363 INFO: [27..][epoch: 4, step: 125,000, lr:(1.875e-05,)] [eta: 0:00:00, time (data): 0.689 (0.000)] l1_latent_opt: 8.3722e-01 l1_pixel_opt: 8.3200e-02 fft_latent_opt: 6.3570e-01 +2025-10-30 14:38:22,364 INFO: Saving models and training states. +2025-10-30 14:40:32,785 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8934 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2829 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1732 Best: 27.1829 @ 105000 iter + +2025-10-30 14:40:32,788 INFO: End of training. Time consumed: 1 day, 1:05:00 +2025-10-30 14:40:32,788 INFO: Save the latest model. +2025-10-30 14:42:41,413 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8934 Best: 0.9363 @ 5000 iter + # l2_latent: 1.2829 Best: 1.4171 @ 5000 iter + # pixel_psnr_pt: 27.1732 Best: 27.1829 @ 105000 iter + diff --git a/29_10_2025/28/basicsr_options.yaml b/29_10_2025/28/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b9e9d42f3e68920bb20f7779251a8ed9a59fac66 --- /dev/null +++ b/29_10_2025/28/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Wed Oct 29 13:47:55 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28/train_28_20251029_134755.log b/29_10_2025/28/train_28_20251029_134755.log new file mode 100644 index 0000000000000000000000000000000000000000..9922c4e1470fef3447906ccfc7db6070e25c0598 --- /dev/null +++ b/29_10_2025/28/train_28_20251029_134755.log @@ -0,0 +1,1717 @@ +2025-10-29 13:47:55,613 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:47:55,614 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/visualization + ] + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:47:57,338 INFO: Use wandb logger with id=16kamv9g; project=Swin2SR-Latent-SR. +2025-10-29 13:51:03,880 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:51:03,881 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 128 + World size (gpu number): 3 + Steps per epoch: 12653 + Configured training steps: 125000 + Approximate epochs to cover: 10. +2025-10-29 13:51:04,041 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:51:04,041 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:51:04,589 INFO: Network [Swin2SR] is created. +2025-10-29 13:51:06,133 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 47,374,072 +2025-10-29 13:51:06,134 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:51:06,137 INFO: Use EMA with decay: 0.999 +2025-10-29 13:51:06,739 INFO: Network [Swin2SR] is created. +2025-10-29 13:51:06,820 INFO: Loss [L1Loss] is created. +2025-10-29 13:51:06,821 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:51:06,822 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:51:06,822 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:51:06,825 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:51:06,826 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 14:31:20,222 INFO: Start training from epoch: 0, step: 0 +2025-10-29 14:32:16,723 INFO: [28..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 17:22:28, time (data): 0.565 (0.032)] l1_latent_opt: 1.1262e+00 fft_latent_opt: 9.6268e-01 +2025-10-29 14:33:07,645 INFO: [28..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 17:30:21, time (data): 0.537 (0.016)] l1_latent_opt: 1.0578e+00 fft_latent_opt: 9.1234e-01 +2025-10-29 14:33:58,636 INFO: [28..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 17:32:55, time (data): 0.510 (0.000)] l1_latent_opt: 1.0145e+00 fft_latent_opt: 8.9151e-01 +2025-10-29 14:34:49,757 INFO: [28..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 17:34:27, time (data): 0.511 (0.000)] l1_latent_opt: 9.8826e-01 fft_latent_opt: 8.7954e-01 +2025-10-29 14:35:40,846 INFO: [28..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 17:34:54, time (data): 0.511 (0.000)] l1_latent_opt: 9.7221e-01 fft_latent_opt: 8.5938e-01 +2025-10-29 14:36:32,202 INFO: [28..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 17:35:50, time (data): 0.512 (0.000)] l1_latent_opt: 9.5406e-01 fft_latent_opt: 8.5606e-01 +2025-10-29 14:37:23,831 INFO: [28..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 17:37:04, time (data): 0.516 (0.000)] l1_latent_opt: 9.4245e-01 fft_latent_opt: 8.4562e-01 +2025-10-29 14:38:14,954 INFO: [28..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 17:36:28, time (data): 0.514 (0.000)] l1_latent_opt: 9.3822e-01 fft_latent_opt: 8.3737e-01 +2025-10-29 14:39:06,169 INFO: [28..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 17:36:01, time (data): 0.512 (0.000)] l1_latent_opt: 9.3375e-01 fft_latent_opt: 8.2528e-01 +2025-10-29 14:39:57,421 INFO: [28..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 17:35:34, time (data): 0.512 (0.000)] l1_latent_opt: 9.2710e-01 fft_latent_opt: 8.2566e-01 +2025-10-29 14:40:48,447 INFO: [28..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 17:34:37, time (data): 0.510 (0.000)] l1_latent_opt: 9.2827e-01 fft_latent_opt: 8.1568e-01 +2025-10-29 14:41:39,492 INFO: [28..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 17:33:44, time (data): 0.510 (0.000)] l1_latent_opt: 9.2788e-01 fft_latent_opt: 8.2364e-01 +2025-10-29 14:42:30,515 INFO: [28..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 17:32:48, time (data): 0.510 (0.000)] l1_latent_opt: 9.1082e-01 fft_latent_opt: 8.0004e-01 +2025-10-29 14:43:21,502 INFO: [28..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 17:31:50, time (data): 0.510 (0.000)] l1_latent_opt: 9.1218e-01 fft_latent_opt: 7.9515e-01 +2025-10-29 14:44:12,517 INFO: [28..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 17:30:55, time (data): 0.510 (0.000)] l1_latent_opt: 9.0025e-01 fft_latent_opt: 7.9117e-01 +2025-10-29 14:45:03,518 INFO: [28..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 17:30:00, time (data): 0.510 (0.000)] l1_latent_opt: 8.9418e-01 fft_latent_opt: 7.9193e-01 +2025-10-29 14:45:54,518 INFO: [28..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 17:29:05, time (data): 0.510 (0.000)] l1_latent_opt: 9.0064e-01 fft_latent_opt: 7.9334e-01 +2025-10-29 14:46:45,596 INFO: [28..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 17:28:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.9749e-01 fft_latent_opt: 7.8953e-01 +2025-10-29 14:47:36,631 INFO: [28..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 17:27:23, time (data): 0.510 (0.000)] l1_latent_opt: 9.0729e-01 fft_latent_opt: 7.9058e-01 +2025-10-29 14:48:27,854 INFO: [28..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 17:26:43, time (data): 0.511 (0.000)] l1_latent_opt: 8.9380e-01 fft_latent_opt: 7.8582e-01 +2025-10-29 14:49:18,841 INFO: [28..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 17:25:48, time (data): 0.510 (0.000)] l1_latent_opt: 8.9101e-01 fft_latent_opt: 7.8017e-01 +2025-10-29 14:50:09,830 INFO: [28..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 17:24:53, time (data): 0.510 (0.000)] l1_latent_opt: 8.8647e-01 fft_latent_opt: 7.8251e-01 +2025-10-29 14:51:01,009 INFO: [28..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 17:24:08, time (data): 0.512 (0.000)] l1_latent_opt: 8.9930e-01 fft_latent_opt: 7.8171e-01 +2025-10-29 14:51:51,992 INFO: [28..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 17:23:13, time (data): 0.511 (0.000)] l1_latent_opt: 8.9263e-01 fft_latent_opt: 7.7100e-01 +2025-10-29 14:52:42,977 INFO: [28..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 17:22:19, time (data): 0.510 (0.000)] l1_latent_opt: 8.7634e-01 fft_latent_opt: 7.6367e-01 +2025-10-29 14:53:33,965 INFO: [28..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 17:21:25, time (data): 0.510 (0.000)] l1_latent_opt: 8.8897e-01 fft_latent_opt: 7.6751e-01 +2025-10-29 14:54:24,963 INFO: [28..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 17:20:31, time (data): 0.510 (0.000)] l1_latent_opt: 8.9321e-01 fft_latent_opt: 7.5917e-01 +2025-10-29 14:55:16,055 INFO: [28..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 17:19:42, time (data): 0.510 (0.000)] l1_latent_opt: 8.9291e-01 fft_latent_opt: 7.6465e-01 +2025-10-29 14:56:07,253 INFO: [28..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 17:18:57, time (data): 0.512 (0.000)] l1_latent_opt: 8.8185e-01 fft_latent_opt: 7.6235e-01 +2025-10-29 14:56:58,304 INFO: [28..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 17:18:06, time (data): 0.511 (0.000)] l1_latent_opt: 8.7340e-01 fft_latent_opt: 7.5712e-01 +2025-10-29 14:57:49,323 INFO: [28..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 17:17:14, time (data): 0.510 (0.000)] l1_latent_opt: 8.8879e-01 fft_latent_opt: 7.5751e-01 +2025-10-29 14:58:40,323 INFO: [28..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 17:16:21, time (data): 0.510 (0.000)] l1_latent_opt: 8.8090e-01 fft_latent_opt: 7.5278e-01 +2025-10-29 14:59:31,306 INFO: [28..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 17:15:27, time (data): 0.510 (0.000)] l1_latent_opt: 8.8308e-01 fft_latent_opt: 7.5867e-01 +2025-10-29 15:00:22,579 INFO: [28..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 17:14:44, time (data): 0.511 (0.000)] l1_latent_opt: 8.7463e-01 fft_latent_opt: 7.4476e-01 +2025-10-29 15:01:13,564 INFO: [28..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 17:13:50, time (data): 0.510 (0.000)] l1_latent_opt: 8.7795e-01 fft_latent_opt: 7.4587e-01 +2025-10-29 15:02:04,576 INFO: [28..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 17:12:58, time (data): 0.510 (0.000)] l1_latent_opt: 8.7146e-01 fft_latent_opt: 7.3920e-01 +2025-10-29 15:02:55,570 INFO: [28..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 17:12:05, time (data): 0.510 (0.000)] l1_latent_opt: 8.6925e-01 fft_latent_opt: 7.4921e-01 +2025-10-29 15:03:46,596 INFO: [28..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 17:11:13, time (data): 0.510 (0.000)] l1_latent_opt: 8.6770e-01 fft_latent_opt: 7.2660e-01 +2025-10-29 15:04:37,615 INFO: [28..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 17:10:21, time (data): 0.510 (0.000)] l1_latent_opt: 8.7226e-01 fft_latent_opt: 7.3916e-01 +2025-10-29 15:05:28,612 INFO: [28..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 17:09:28, time (data): 0.510 (0.000)] l1_latent_opt: 8.6957e-01 fft_latent_opt: 7.2719e-01 +2025-10-29 15:06:19,763 INFO: [28..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 17:08:40, time (data): 0.511 (0.000)] l1_latent_opt: 8.6021e-01 fft_latent_opt: 7.2774e-01 +2025-10-29 15:07:10,940 INFO: [28..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 17:07:53, time (data): 0.511 (0.000)] l1_latent_opt: 8.5858e-01 fft_latent_opt: 7.2806e-01 +2025-10-29 15:08:02,195 INFO: [28..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 17:07:07, time (data): 0.513 (0.000)] l1_latent_opt: 8.6296e-01 fft_latent_opt: 7.3008e-01 +2025-10-29 15:08:53,268 INFO: [28..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 17:06:17, time (data): 0.512 (0.000)] l1_latent_opt: 8.6692e-01 fft_latent_opt: 7.2656e-01 +2025-10-29 15:09:44,290 INFO: [28..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 17:05:25, time (data): 0.510 (0.000)] l1_latent_opt: 8.6723e-01 fft_latent_opt: 7.2751e-01 +2025-10-29 15:10:35,416 INFO: [28..][epoch: 0, step: 4,600, lr:(2.000e-04,)] [eta: 17:04:35, time (data): 0.511 (0.000)] l1_latent_opt: 8.5175e-01 fft_latent_opt: 7.1602e-01 +2025-10-29 15:11:26,654 INFO: [28..][epoch: 0, step: 4,700, lr:(2.000e-04,)] [eta: 17:03:49, time (data): 0.513 (0.000)] l1_latent_opt: 8.5865e-01 fft_latent_opt: 7.2283e-01 +2025-10-29 15:12:17,733 INFO: [28..][epoch: 0, step: 4,800, lr:(2.000e-04,)] [eta: 17:02:58, time (data): 0.512 (0.000)] l1_latent_opt: 8.4900e-01 fft_latent_opt: 7.0454e-01 +2025-10-29 15:13:09,117 INFO: [28..][epoch: 0, step: 4,900, lr:(2.000e-04,)] [eta: 17:02:15, time (data): 0.514 (0.000)] l1_latent_opt: 8.6096e-01 fft_latent_opt: 7.2137e-01 +2025-10-29 15:14:00,160 INFO: [28..][epoch: 0, step: 5,000, lr:(2.000e-04,)] [eta: 17:01:23, time (data): 0.512 (0.000)] l1_latent_opt: 8.4814e-01 fft_latent_opt: 7.0793e-01 +2025-10-29 15:14:00,161 INFO: Saving models and training states. +2025-10-29 15:14:08,814 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-29 15:17:00,532 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.9148 Best: 0.9148 @ 5000 iter + # l2_latent: 1.3845 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 24.4475 Best: 24.4475 @ 5000 iter + +2025-10-29 15:17:51,584 INFO: [28..][epoch: 0, step: 5,100, lr:(2.000e-04,)] [eta: 18:11:11, time (data): 0.510 (0.000)] l1_latent_opt: 8.5767e-01 fft_latent_opt: 7.0841e-01 +2025-10-29 15:18:42,959 INFO: [28..][epoch: 0, step: 5,200, lr:(2.000e-04,)] [eta: 18:09:02, time (data): 0.512 (0.000)] l1_latent_opt: 8.4685e-01 fft_latent_opt: 7.1730e-01 +2025-10-29 15:19:34,315 INFO: [28..][epoch: 0, step: 5,300, lr:(2.000e-04,)] [eta: 18:06:56, time (data): 0.514 (0.000)] l1_latent_opt: 8.4552e-01 fft_latent_opt: 6.9867e-01 +2025-10-29 15:20:25,310 INFO: [28..][epoch: 0, step: 5,400, lr:(2.000e-04,)] [eta: 18:04:44, time (data): 0.512 (0.000)] l1_latent_opt: 8.5317e-01 fft_latent_opt: 7.0355e-01 +2025-10-29 15:21:16,392 INFO: [28..][epoch: 0, step: 5,500, lr:(2.000e-04,)] [eta: 18:02:37, time (data): 0.511 (0.000)] l1_latent_opt: 8.5345e-01 fft_latent_opt: 7.0992e-01 +2025-10-29 15:22:07,624 INFO: [28..][epoch: 0, step: 5,600, lr:(2.000e-04,)] [eta: 18:00:36, time (data): 0.512 (0.000)] l1_latent_opt: 8.4350e-01 fft_latent_opt: 6.9785e-01 +2025-10-29 15:22:58,641 INFO: [28..][epoch: 0, step: 5,700, lr:(2.000e-04,)] [eta: 17:58:33, time (data): 0.510 (0.000)] l1_latent_opt: 8.4218e-01 fft_latent_opt: 7.0031e-01 +2025-10-29 15:23:49,662 INFO: [28..][epoch: 0, step: 5,800, lr:(2.000e-04,)] [eta: 17:56:33, time (data): 0.510 (0.000)] l1_latent_opt: 8.6115e-01 fft_latent_opt: 7.0494e-01 +2025-10-29 15:24:40,663 INFO: [28..][epoch: 0, step: 5,900, lr:(2.000e-04,)] [eta: 17:54:34, time (data): 0.510 (0.000)] l1_latent_opt: 8.4924e-01 fft_latent_opt: 6.9324e-01 +2025-10-29 15:25:31,736 INFO: [28..][epoch: 0, step: 6,000, lr:(2.000e-04,)] [eta: 17:52:39, time (data): 0.510 (0.000)] l1_latent_opt: 8.4363e-01 fft_latent_opt: 6.8850e-01 +2025-10-29 15:26:22,736 INFO: [28..][epoch: 0, step: 6,100, lr:(2.000e-04,)] [eta: 17:50:45, time (data): 0.510 (0.000)] l1_latent_opt: 8.4800e-01 fft_latent_opt: 7.0188e-01 +2025-10-29 15:27:13,728 INFO: [28..][epoch: 0, step: 6,200, lr:(2.000e-04,)] [eta: 17:48:53, time (data): 0.510 (0.000)] l1_latent_opt: 8.4751e-01 fft_latent_opt: 6.9898e-01 +2025-10-29 15:28:04,754 INFO: [28..][epoch: 0, step: 6,300, lr:(2.000e-04,)] [eta: 17:47:03, time (data): 0.510 (0.000)] l1_latent_opt: 8.4410e-01 fft_latent_opt: 6.9610e-01 +2025-10-29 15:28:55,782 INFO: [28..][epoch: 0, step: 6,400, lr:(2.000e-04,)] [eta: 17:45:15, time (data): 0.510 (0.000)] l1_latent_opt: 8.4613e-01 fft_latent_opt: 6.8733e-01 +2025-10-29 15:29:46,802 INFO: [28..][epoch: 0, step: 6,500, lr:(2.000e-04,)] [eta: 17:43:29, time (data): 0.510 (0.000)] l1_latent_opt: 8.3497e-01 fft_latent_opt: 6.9205e-01 +2025-10-29 15:30:37,914 INFO: [28..][epoch: 0, step: 6,600, lr:(2.000e-04,)] [eta: 17:41:46, time (data): 0.511 (0.000)] l1_latent_opt: 8.4791e-01 fft_latent_opt: 6.9617e-01 +2025-10-29 15:31:28,943 INFO: [28..][epoch: 0, step: 6,700, lr:(2.000e-04,)] [eta: 17:40:03, time (data): 0.510 (0.000)] l1_latent_opt: 8.3069e-01 fft_latent_opt: 6.8079e-01 +2025-10-29 15:32:20,010 INFO: [28..][epoch: 0, step: 6,800, lr:(2.000e-04,)] [eta: 17:38:22, time (data): 0.510 (0.000)] l1_latent_opt: 8.4197e-01 fft_latent_opt: 6.9401e-01 +2025-10-29 15:33:11,247 INFO: [28..][epoch: 0, step: 6,900, lr:(2.000e-04,)] [eta: 17:36:46, time (data): 0.511 (0.000)] l1_latent_opt: 8.5175e-01 fft_latent_opt: 6.9071e-01 +2025-10-29 15:34:02,450 INFO: [28..][epoch: 0, step: 7,000, lr:(2.000e-04,)] [eta: 17:35:11, time (data): 0.511 (0.000)] l1_latent_opt: 8.3325e-01 fft_latent_opt: 6.7750e-01 +2025-10-29 15:34:53,763 INFO: [28..][epoch: 0, step: 7,100, lr:(2.000e-04,)] [eta: 17:33:38, time (data): 0.513 (0.000)] l1_latent_opt: 8.3928e-01 fft_latent_opt: 6.9255e-01 +2025-10-29 15:35:44,866 INFO: [28..][epoch: 0, step: 7,200, lr:(2.000e-04,)] [eta: 17:32:03, time (data): 0.512 (0.000)] l1_latent_opt: 8.3561e-01 fft_latent_opt: 6.7492e-01 +2025-10-29 15:36:36,116 INFO: [28..][epoch: 0, step: 7,300, lr:(2.000e-04,)] [eta: 17:30:32, time (data): 0.511 (0.000)] l1_latent_opt: 8.4762e-01 fft_latent_opt: 6.7905e-01 +2025-10-29 15:37:27,234 INFO: [28..][epoch: 0, step: 7,400, lr:(2.000e-04,)] [eta: 17:29:00, time (data): 0.511 (0.000)] l1_latent_opt: 8.4859e-01 fft_latent_opt: 6.8709e-01 +2025-10-29 15:38:18,444 INFO: [28..][epoch: 0, step: 7,500, lr:(2.000e-04,)] [eta: 17:27:30, time (data): 0.512 (0.000)] l1_latent_opt: 8.3483e-01 fft_latent_opt: 6.7577e-01 +2025-10-29 15:39:09,612 INFO: [28..][epoch: 0, step: 7,600, lr:(2.000e-04,)] [eta: 17:26:01, time (data): 0.512 (0.000)] l1_latent_opt: 8.4601e-01 fft_latent_opt: 6.8166e-01 +2025-10-29 15:40:00,849 INFO: [28..][epoch: 0, step: 7,700, lr:(2.000e-04,)] [eta: 17:24:33, time (data): 0.512 (0.000)] l1_latent_opt: 8.4085e-01 fft_latent_opt: 6.8064e-01 +2025-10-29 15:40:52,177 INFO: [28..][epoch: 0, step: 7,800, lr:(2.000e-04,)] [eta: 17:23:08, time (data): 0.513 (0.000)] l1_latent_opt: 8.3522e-01 fft_latent_opt: 6.8148e-01 +2025-10-29 15:41:43,855 INFO: [28..][epoch: 0, step: 7,900, lr:(2.000e-04,)] [eta: 17:21:49, time (data): 0.516 (0.000)] l1_latent_opt: 8.3061e-01 fft_latent_opt: 6.6822e-01 +2025-10-29 15:42:34,926 INFO: [28..][epoch: 0, step: 8,000, lr:(2.000e-04,)] [eta: 17:20:22, time (data): 0.513 (0.000)] l1_latent_opt: 8.3684e-01 fft_latent_opt: 6.7579e-01 +2025-10-29 15:43:26,058 INFO: [28..][epoch: 0, step: 8,100, lr:(2.000e-04,)] [eta: 17:18:57, time (data): 0.512 (0.000)] l1_latent_opt: 8.3182e-01 fft_latent_opt: 6.7640e-01 +2025-10-29 15:44:17,227 INFO: [28..][epoch: 0, step: 8,200, lr:(2.000e-04,)] [eta: 17:17:33, time (data): 0.512 (0.000)] l1_latent_opt: 8.4113e-01 fft_latent_opt: 6.7013e-01 +2025-10-29 15:45:08,332 INFO: [28..][epoch: 0, step: 8,300, lr:(2.000e-04,)] [eta: 17:16:09, time (data): 0.510 (0.000)] l1_latent_opt: 8.2951e-01 fft_latent_opt: 6.7334e-01 +2025-10-29 15:45:59,634 INFO: [28..][epoch: 0, step: 8,400, lr:(2.000e-04,)] [eta: 17:14:48, time (data): 0.512 (0.000)] l1_latent_opt: 8.2610e-01 fft_latent_opt: 6.6672e-01 +2025-10-29 15:46:51,056 INFO: [28..][epoch: 0, step: 8,500, lr:(2.000e-04,)] [eta: 17:13:30, time (data): 0.514 (0.000)] l1_latent_opt: 8.3952e-01 fft_latent_opt: 6.7108e-01 +2025-10-29 15:47:42,643 INFO: [28..][epoch: 0, step: 8,600, lr:(2.000e-04,)] [eta: 17:12:14, time (data): 0.515 (0.000)] l1_latent_opt: 8.4399e-01 fft_latent_opt: 6.8530e-01 +2025-10-29 15:48:33,905 INFO: [28..][epoch: 0, step: 8,700, lr:(2.000e-04,)] [eta: 17:10:55, time (data): 0.513 (0.000)] l1_latent_opt: 8.3543e-01 fft_latent_opt: 6.7115e-01 +2025-10-29 15:49:25,045 INFO: [28..][epoch: 0, step: 8,800, lr:(2.000e-04,)] [eta: 17:09:35, time (data): 0.512 (0.000)] l1_latent_opt: 8.3528e-01 fft_latent_opt: 6.7972e-01 +2025-10-29 15:50:16,342 INFO: [28..][epoch: 0, step: 8,900, lr:(2.000e-04,)] [eta: 17:08:17, time (data): 0.515 (0.000)] l1_latent_opt: 8.3872e-01 fft_latent_opt: 6.7188e-01 +2025-10-29 15:51:07,673 INFO: [28..][epoch: 0, step: 9,000, lr:(2.000e-04,)] [eta: 17:07:01, time (data): 0.514 (0.000)] l1_latent_opt: 8.3923e-01 fft_latent_opt: 6.8254e-01 +2025-10-29 15:51:59,019 INFO: [28..][epoch: 0, step: 9,100, lr:(2.000e-04,)] [eta: 17:05:45, time (data): 0.511 (0.000)] l1_latent_opt: 8.4031e-01 fft_latent_opt: 6.6811e-01 +2025-10-29 15:52:50,393 INFO: [28..][epoch: 0, step: 9,200, lr:(2.000e-04,)] [eta: 17:04:30, time (data): 0.513 (0.000)] l1_latent_opt: 8.2938e-01 fft_latent_opt: 6.6685e-01 +2025-10-29 15:53:41,634 INFO: [28..][epoch: 0, step: 9,300, lr:(2.000e-04,)] [eta: 17:03:14, time (data): 0.513 (0.000)] l1_latent_opt: 8.3042e-01 fft_latent_opt: 6.6071e-01 +2025-10-29 15:54:32,831 INFO: [28..][epoch: 0, step: 9,400, lr:(2.000e-04,)] [eta: 17:01:58, time (data): 0.512 (0.000)] l1_latent_opt: 8.3648e-01 fft_latent_opt: 6.7343e-01 +2025-10-29 15:55:24,011 INFO: [28..][epoch: 0, step: 9,500, lr:(2.000e-04,)] [eta: 17:00:42, time (data): 0.511 (0.000)] l1_latent_opt: 8.3480e-01 fft_latent_opt: 6.7163e-01 +2025-10-29 15:56:15,262 INFO: [28..][epoch: 0, step: 9,600, lr:(2.000e-04,)] [eta: 16:59:28, time (data): 0.512 (0.000)] l1_latent_opt: 8.3378e-01 fft_latent_opt: 6.6260e-01 +2025-10-29 15:57:06,327 INFO: [28..][epoch: 0, step: 9,700, lr:(2.000e-04,)] [eta: 16:58:12, time (data): 0.511 (0.000)] l1_latent_opt: 8.3388e-01 fft_latent_opt: 6.7641e-01 +2025-10-29 15:57:57,391 INFO: [28..][epoch: 0, step: 9,800, lr:(2.000e-04,)] [eta: 16:56:56, time (data): 0.511 (0.000)] l1_latent_opt: 8.3378e-01 fft_latent_opt: 6.6251e-01 +2025-10-29 15:58:48,726 INFO: [28..][epoch: 0, step: 9,900, lr:(2.000e-04,)] [eta: 16:55:44, time (data): 0.512 (0.000)] l1_latent_opt: 8.2898e-01 fft_latent_opt: 6.6107e-01 +2025-10-29 15:59:40,108 INFO: [28..][epoch: 0, step: 10,000, lr:(2.000e-04,)] [eta: 16:54:33, time (data): 0.513 (0.000)] l1_latent_opt: 8.4582e-01 fft_latent_opt: 6.7369e-01 +2025-10-29 15:59:40,110 INFO: Saving models and training states. +2025-10-29 16:01:48,106 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8874 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2937 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 25.7490 Best: 25.7490 @ 10000 iter + +2025-10-29 16:02:39,177 INFO: [28..][epoch: 0, step: 10,100, lr:(2.000e-04,)] [eta: 17:17:35, time (data): 0.512 (0.000)] l1_latent_opt: 8.3968e-01 fft_latent_opt: 6.6544e-01 +2025-10-29 16:03:30,384 INFO: [28..][epoch: 0, step: 10,200, lr:(2.000e-04,)] [eta: 17:16:08, time (data): 0.512 (0.000)] l1_latent_opt: 8.2995e-01 fft_latent_opt: 6.6422e-01 +2025-10-29 16:04:21,433 INFO: [28..][epoch: 0, step: 10,300, lr:(2.000e-04,)] [eta: 17:14:39, time (data): 0.511 (0.000)] l1_latent_opt: 8.2648e-01 fft_latent_opt: 6.6538e-01 +2025-10-29 16:05:12,461 INFO: [28..][epoch: 0, step: 10,400, lr:(2.000e-04,)] [eta: 17:13:11, time (data): 0.510 (0.000)] l1_latent_opt: 8.2955e-01 fft_latent_opt: 6.5998e-01 +2025-10-29 16:06:03,532 INFO: [28..][epoch: 0, step: 10,500, lr:(2.000e-04,)] [eta: 17:11:44, time (data): 0.510 (0.000)] l1_latent_opt: 8.2730e-01 fft_latent_opt: 6.5973e-01 +2025-10-29 16:06:54,721 INFO: [28..][epoch: 0, step: 10,600, lr:(2.000e-04,)] [eta: 17:10:19, time (data): 0.511 (0.000)] l1_latent_opt: 8.2459e-01 fft_latent_opt: 6.6053e-01 +2025-10-29 16:07:45,918 INFO: [28..][epoch: 0, step: 10,700, lr:(2.000e-04,)] [eta: 17:08:54, time (data): 0.513 (0.000)] l1_latent_opt: 8.2263e-01 fft_latent_opt: 6.5174e-01 +2025-10-29 16:08:37,082 INFO: [28..][epoch: 0, step: 10,800, lr:(2.000e-04,)] [eta: 17:07:30, time (data): 0.512 (0.000)] l1_latent_opt: 8.2201e-01 fft_latent_opt: 6.5925e-01 +2025-10-29 16:09:28,260 INFO: [28..][epoch: 0, step: 10,900, lr:(2.000e-04,)] [eta: 17:06:07, time (data): 0.513 (0.000)] l1_latent_opt: 8.2784e-01 fft_latent_opt: 6.6062e-01 +2025-10-29 16:10:19,630 INFO: [28..][epoch: 0, step: 11,000, lr:(2.000e-04,)] [eta: 17:04:46, time (data): 0.513 (0.000)] l1_latent_opt: 8.3462e-01 fft_latent_opt: 6.6132e-01 +2025-10-29 16:11:11,102 INFO: [28..][epoch: 0, step: 11,100, lr:(2.000e-04,)] [eta: 17:03:27, time (data): 0.513 (0.000)] l1_latent_opt: 8.3192e-01 fft_latent_opt: 6.5812e-01 +2025-10-29 16:12:02,326 INFO: [28..][epoch: 0, step: 11,200, lr:(2.000e-04,)] [eta: 17:02:05, time (data): 0.513 (0.000)] l1_latent_opt: 8.3639e-01 fft_latent_opt: 6.6552e-01 +2025-10-29 16:12:53,470 INFO: [28..][epoch: 0, step: 11,300, lr:(2.000e-04,)] [eta: 17:00:44, time (data): 0.513 (0.000)] l1_latent_opt: 8.2275e-01 fft_latent_opt: 6.5386e-01 +2025-10-29 16:13:44,573 INFO: [28..][epoch: 0, step: 11,400, lr:(2.000e-04,)] [eta: 16:59:23, time (data): 0.512 (0.000)] l1_latent_opt: 8.1116e-01 fft_latent_opt: 6.5804e-01 +2025-10-29 16:14:35,817 INFO: [28..][epoch: 0, step: 11,500, lr:(2.000e-04,)] [eta: 16:58:03, time (data): 0.512 (0.000)] l1_latent_opt: 8.2184e-01 fft_latent_opt: 6.5387e-01 +2025-10-29 16:15:27,129 INFO: [28..][epoch: 0, step: 11,600, lr:(2.000e-04,)] [eta: 16:56:45, time (data): 0.513 (0.000)] l1_latent_opt: 8.2338e-01 fft_latent_opt: 6.5631e-01 +2025-10-29 16:16:18,549 INFO: [28..][epoch: 0, step: 11,700, lr:(2.000e-04,)] [eta: 16:55:28, time (data): 0.514 (0.000)] l1_latent_opt: 8.2699e-01 fft_latent_opt: 6.6104e-01 +2025-10-29 16:17:09,577 INFO: [28..][epoch: 0, step: 11,800, lr:(2.000e-04,)] [eta: 16:54:08, time (data): 0.511 (0.000)] l1_latent_opt: 8.2607e-01 fft_latent_opt: 6.5715e-01 +2025-10-29 16:18:00,739 INFO: [28..][epoch: 0, step: 11,900, lr:(2.000e-04,)] [eta: 16:52:49, time (data): 0.511 (0.000)] l1_latent_opt: 8.2048e-01 fft_latent_opt: 6.6190e-01 +2025-10-29 16:18:52,114 INFO: [28..][epoch: 0, step: 12,000, lr:(2.000e-04,)] [eta: 16:51:33, time (data): 0.513 (0.000)] l1_latent_opt: 8.1946e-01 fft_latent_opt: 6.5252e-01 +2025-10-29 16:19:43,334 INFO: [28..][epoch: 0, step: 12,100, lr:(2.000e-04,)] [eta: 16:50:17, time (data): 0.515 (0.000)] l1_latent_opt: 8.1131e-01 fft_latent_opt: 6.4355e-01 +2025-10-29 16:20:34,430 INFO: [28..][epoch: 0, step: 12,200, lr:(2.000e-04,)] [eta: 16:48:59, time (data): 0.512 (0.000)] l1_latent_opt: 8.3196e-01 fft_latent_opt: 6.5729e-01 +2025-10-29 16:21:25,808 INFO: [28..][epoch: 0, step: 12,300, lr:(2.000e-04,)] [eta: 16:47:44, time (data): 0.516 (0.000)] l1_latent_opt: 8.1331e-01 fft_latent_opt: 6.5214e-01 +2025-10-29 16:22:17,055 INFO: [28..][epoch: 0, step: 12,400, lr:(2.000e-04,)] [eta: 16:46:29, time (data): 0.514 (0.000)] l1_latent_opt: 8.2336e-01 fft_latent_opt: 6.5466e-01 +2025-10-29 16:23:08,398 INFO: [28..][epoch: 0, step: 12,500, lr:(2.000e-04,)] [eta: 16:45:14, time (data): 0.516 (0.000)] l1_latent_opt: 8.2934e-01 fft_latent_opt: 6.6496e-01 +2025-10-29 16:23:59,756 INFO: [28..][epoch: 0, step: 12,600, lr:(2.000e-04,)] [eta: 16:44:01, time (data): 0.514 (0.001)] l1_latent_opt: 8.2767e-01 fft_latent_opt: 6.5900e-01 +2025-10-29 16:24:53,188 INFO: [28..][epoch: 1, step: 12,700, lr:(2.000e-04,)] [eta: 16:43:06, time (data): 0.515 (0.000)] l1_latent_opt: 8.1960e-01 fft_latent_opt: 6.5463e-01 +2025-10-29 16:25:44,231 INFO: [28..][epoch: 1, step: 12,800, lr:(2.000e-04,)] [eta: 16:41:50, time (data): 0.512 (0.000)] l1_latent_opt: 8.2480e-01 fft_latent_opt: 6.5867e-01 +2025-10-29 16:26:35,503 INFO: [28..][epoch: 1, step: 12,900, lr:(2.000e-04,)] [eta: 16:40:36, time (data): 0.511 (0.000)] l1_latent_opt: 8.1501e-01 fft_latent_opt: 6.4829e-01 +2025-10-29 16:27:26,846 INFO: [28..][epoch: 1, step: 13,000, lr:(2.000e-04,)] [eta: 16:39:23, time (data): 0.513 (0.000)] l1_latent_opt: 8.1727e-01 fft_latent_opt: 6.5743e-01 +2025-10-29 16:28:17,951 INFO: [28..][epoch: 1, step: 13,100, lr:(2.000e-04,)] [eta: 16:38:09, time (data): 0.510 (0.000)] l1_latent_opt: 8.1640e-01 fft_latent_opt: 6.5433e-01 +2025-10-29 16:29:09,313 INFO: [28..][epoch: 1, step: 13,200, lr:(2.000e-04,)] [eta: 16:36:57, time (data): 0.513 (0.000)] l1_latent_opt: 8.3333e-01 fft_latent_opt: 6.5793e-01 +2025-10-29 16:30:00,595 INFO: [28..][epoch: 1, step: 13,300, lr:(2.000e-04,)] [eta: 16:35:45, time (data): 0.516 (0.000)] l1_latent_opt: 8.1889e-01 fft_latent_opt: 6.4894e-01 +2025-10-29 16:30:51,942 INFO: [28..][epoch: 1, step: 13,400, lr:(2.000e-04,)] [eta: 16:34:34, time (data): 0.514 (0.000)] l1_latent_opt: 8.0708e-01 fft_latent_opt: 6.4159e-01 +2025-10-29 16:31:43,188 INFO: [28..][epoch: 1, step: 13,500, lr:(2.000e-04,)] [eta: 16:33:22, time (data): 0.510 (0.000)] l1_latent_opt: 8.1557e-01 fft_latent_opt: 6.4924e-01 +2025-10-29 16:32:34,235 INFO: [28..][epoch: 1, step: 13,600, lr:(2.000e-04,)] [eta: 16:32:09, time (data): 0.510 (0.000)] l1_latent_opt: 8.1765e-01 fft_latent_opt: 6.5321e-01 +2025-10-29 16:33:25,721 INFO: [28..][epoch: 1, step: 13,700, lr:(2.000e-04,)] [eta: 16:31:00, time (data): 0.515 (0.000)] l1_latent_opt: 8.1453e-01 fft_latent_opt: 6.4664e-01 +2025-10-29 16:34:16,949 INFO: [28..][epoch: 1, step: 13,800, lr:(2.000e-04,)] [eta: 16:29:48, time (data): 0.513 (0.000)] l1_latent_opt: 8.2199e-01 fft_latent_opt: 6.5248e-01 +2025-10-29 16:35:08,153 INFO: [28..][epoch: 1, step: 13,900, lr:(2.000e-04,)] [eta: 16:28:37, time (data): 0.515 (0.000)] l1_latent_opt: 8.1765e-01 fft_latent_opt: 6.4704e-01 +2025-10-29 16:35:59,364 INFO: [28..][epoch: 1, step: 14,000, lr:(2.000e-04,)] [eta: 16:27:27, time (data): 0.513 (0.000)] l1_latent_opt: 8.2321e-01 fft_latent_opt: 6.5594e-01 +2025-10-29 16:36:50,734 INFO: [28..][epoch: 1, step: 14,100, lr:(2.000e-04,)] [eta: 16:26:18, time (data): 0.513 (0.000)] l1_latent_opt: 8.1977e-01 fft_latent_opt: 6.5130e-01 +2025-10-29 16:37:41,996 INFO: [28..][epoch: 1, step: 14,200, lr:(2.000e-04,)] [eta: 16:25:08, time (data): 0.513 (0.000)] l1_latent_opt: 8.2996e-01 fft_latent_opt: 6.5576e-01 +2025-10-29 16:38:33,637 INFO: [28..][epoch: 1, step: 14,300, lr:(2.000e-04,)] [eta: 16:24:01, time (data): 0.515 (0.000)] l1_latent_opt: 8.1337e-01 fft_latent_opt: 6.4755e-01 +2025-10-29 16:39:25,153 INFO: [28..][epoch: 1, step: 14,400, lr:(2.000e-04,)] [eta: 16:22:54, time (data): 0.515 (0.000)] l1_latent_opt: 8.1981e-01 fft_latent_opt: 6.5019e-01 +2025-10-29 16:40:16,370 INFO: [28..][epoch: 1, step: 14,500, lr:(2.000e-04,)] [eta: 16:21:45, time (data): 0.513 (0.000)] l1_latent_opt: 8.2283e-01 fft_latent_opt: 6.5685e-01 +2025-10-29 16:41:07,472 INFO: [28..][epoch: 1, step: 14,600, lr:(2.000e-04,)] [eta: 16:20:35, time (data): 0.511 (0.000)] l1_latent_opt: 8.2504e-01 fft_latent_opt: 6.4964e-01 +2025-10-29 16:41:58,842 INFO: [28..][epoch: 1, step: 14,700, lr:(2.000e-04,)] [eta: 16:19:27, time (data): 0.515 (0.000)] l1_latent_opt: 8.2024e-01 fft_latent_opt: 6.5016e-01 +2025-10-29 16:42:49,952 INFO: [28..][epoch: 1, step: 14,800, lr:(2.000e-04,)] [eta: 16:18:17, time (data): 0.512 (0.000)] l1_latent_opt: 8.1760e-01 fft_latent_opt: 6.5499e-01 +2025-10-29 16:43:41,454 INFO: [28..][epoch: 1, step: 14,900, lr:(2.000e-04,)] [eta: 16:17:11, time (data): 0.512 (0.000)] l1_latent_opt: 8.1321e-01 fft_latent_opt: 6.4571e-01 +2025-10-29 16:44:32,863 INFO: [28..][epoch: 1, step: 15,000, lr:(2.000e-04,)] [eta: 16:16:04, time (data): 0.514 (0.000)] l1_latent_opt: 8.2168e-01 fft_latent_opt: 6.5304e-01 +2025-10-29 16:44:32,863 INFO: Saving models and training states. +2025-10-29 16:47:27,370 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8794 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2681 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.0585 Best: 26.0585 @ 15000 iter + +2025-10-29 16:48:50,137 INFO: [28..][epoch: 1, step: 15,100, lr:(2.000e-04,)] [eta: 16:39:56, time (data): 0.512 (0.000)] l1_latent_opt: 8.1164e-01 fft_latent_opt: 6.4565e-01 +2025-10-29 16:49:41,240 INFO: [28..][epoch: 1, step: 15,200, lr:(2.000e-04,)] [eta: 16:38:36, time (data): 0.511 (0.000)] l1_latent_opt: 8.1633e-01 fft_latent_opt: 6.4255e-01 +2025-10-29 16:50:32,565 INFO: [28..][epoch: 1, step: 15,300, lr:(2.000e-04,)] [eta: 16:37:18, time (data): 0.513 (0.000)] l1_latent_opt: 8.1118e-01 fft_latent_opt: 6.5543e-01 +2025-10-29 16:51:23,680 INFO: [28..][epoch: 1, step: 15,400, lr:(2.000e-04,)] [eta: 16:35:59, time (data): 0.511 (0.000)] l1_latent_opt: 8.1721e-01 fft_latent_opt: 6.5247e-01 +2025-10-29 16:52:14,941 INFO: [28..][epoch: 1, step: 15,500, lr:(2.000e-04,)] [eta: 16:34:42, time (data): 0.516 (0.000)] l1_latent_opt: 8.2817e-01 fft_latent_opt: 6.4914e-01 +2025-10-29 16:53:06,598 INFO: [28..][epoch: 1, step: 15,600, lr:(2.000e-04,)] [eta: 16:33:27, time (data): 0.516 (0.000)] l1_latent_opt: 8.1903e-01 fft_latent_opt: 6.4794e-01 +2025-10-29 16:53:57,966 INFO: [28..][epoch: 1, step: 15,700, lr:(2.000e-04,)] [eta: 16:32:11, time (data): 0.510 (0.000)] l1_latent_opt: 8.1913e-01 fft_latent_opt: 6.4465e-01 +2025-10-29 16:54:49,019 INFO: [28..][epoch: 1, step: 15,800, lr:(2.000e-04,)] [eta: 16:30:53, time (data): 0.510 (0.000)] l1_latent_opt: 8.2329e-01 fft_latent_opt: 6.4700e-01 +2025-10-29 16:55:40,155 INFO: [28..][epoch: 1, step: 15,900, lr:(2.000e-04,)] [eta: 16:29:36, time (data): 0.510 (0.000)] l1_latent_opt: 8.2072e-01 fft_latent_opt: 6.4916e-01 +2025-10-29 16:56:31,345 INFO: [28..][epoch: 1, step: 16,000, lr:(2.000e-04,)] [eta: 16:28:19, time (data): 0.512 (0.000)] l1_latent_opt: 8.2309e-01 fft_latent_opt: 6.4350e-01 +2025-10-29 16:57:22,664 INFO: [28..][epoch: 1, step: 16,100, lr:(2.000e-04,)] [eta: 16:27:04, time (data): 0.515 (0.000)] l1_latent_opt: 8.1860e-01 fft_latent_opt: 6.4737e-01 +2025-10-29 16:58:13,929 INFO: [28..][epoch: 1, step: 16,200, lr:(2.000e-04,)] [eta: 16:25:49, time (data): 0.513 (0.000)] l1_latent_opt: 8.1621e-01 fft_latent_opt: 6.4505e-01 +2025-10-29 16:59:04,965 INFO: [28..][epoch: 1, step: 16,300, lr:(2.000e-04,)] [eta: 16:24:32, time (data): 0.511 (0.000)] l1_latent_opt: 8.2182e-01 fft_latent_opt: 6.5292e-01 +2025-10-29 16:59:56,174 INFO: [28..][epoch: 1, step: 16,400, lr:(2.000e-04,)] [eta: 16:23:17, time (data): 0.512 (0.000)] l1_latent_opt: 8.2396e-01 fft_latent_opt: 6.4570e-01 +2025-10-29 17:00:47,409 INFO: [28..][epoch: 1, step: 16,500, lr:(2.000e-04,)] [eta: 16:22:03, time (data): 0.513 (0.000)] l1_latent_opt: 8.1686e-01 fft_latent_opt: 6.4578e-01 +2025-10-29 17:01:38,469 INFO: [28..][epoch: 1, step: 16,600, lr:(2.000e-04,)] [eta: 16:20:47, time (data): 0.511 (0.000)] l1_latent_opt: 8.2259e-01 fft_latent_opt: 6.4727e-01 +2025-10-29 17:02:29,560 INFO: [28..][epoch: 1, step: 16,700, lr:(2.000e-04,)] [eta: 16:19:32, time (data): 0.510 (0.000)] l1_latent_opt: 8.1715e-01 fft_latent_opt: 6.4406e-01 +2025-10-29 17:03:20,564 INFO: [28..][epoch: 1, step: 16,800, lr:(2.000e-04,)] [eta: 16:18:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.9980e-01 fft_latent_opt: 6.4241e-01 +2025-10-29 17:04:11,574 INFO: [28..][epoch: 1, step: 16,900, lr:(2.000e-04,)] [eta: 16:17:02, time (data): 0.510 (0.000)] l1_latent_opt: 8.1994e-01 fft_latent_opt: 6.4594e-01 +2025-10-29 17:05:02,738 INFO: [28..][epoch: 1, step: 17,000, lr:(2.000e-04,)] [eta: 16:15:48, time (data): 0.511 (0.000)] l1_latent_opt: 8.1698e-01 fft_latent_opt: 6.4644e-01 +2025-10-29 17:05:54,244 INFO: [28..][epoch: 1, step: 17,100, lr:(2.000e-04,)] [eta: 16:14:37, time (data): 0.517 (0.000)] l1_latent_opt: 8.1568e-01 fft_latent_opt: 6.5123e-01 +2025-10-29 17:06:45,507 INFO: [28..][epoch: 1, step: 17,200, lr:(2.000e-04,)] [eta: 16:13:24, time (data): 0.513 (0.000)] l1_latent_opt: 8.1504e-01 fft_latent_opt: 6.4032e-01 +2025-10-29 17:07:36,745 INFO: [28..][epoch: 1, step: 17,300, lr:(2.000e-04,)] [eta: 16:12:12, time (data): 0.510 (0.000)] l1_latent_opt: 8.1359e-01 fft_latent_opt: 6.3858e-01 +2025-10-29 17:08:27,884 INFO: [28..][epoch: 1, step: 17,400, lr:(2.000e-04,)] [eta: 16:10:59, time (data): 0.511 (0.000)] l1_latent_opt: 8.1791e-01 fft_latent_opt: 6.5166e-01 +2025-10-29 17:09:19,112 INFO: [28..][epoch: 1, step: 17,500, lr:(2.000e-04,)] [eta: 16:09:47, time (data): 0.511 (0.000)] l1_latent_opt: 8.1355e-01 fft_latent_opt: 6.4304e-01 +2025-10-29 17:10:10,289 INFO: [28..][epoch: 1, step: 17,600, lr:(2.000e-04,)] [eta: 16:08:35, time (data): 0.512 (0.000)] l1_latent_opt: 8.0153e-01 fft_latent_opt: 6.3477e-01 +2025-10-29 17:11:01,556 INFO: [28..][epoch: 1, step: 17,700, lr:(2.000e-04,)] [eta: 16:07:23, time (data): 0.511 (0.000)] l1_latent_opt: 8.1397e-01 fft_latent_opt: 6.4086e-01 +2025-10-29 17:11:52,691 INFO: [28..][epoch: 1, step: 17,800, lr:(2.000e-04,)] [eta: 16:06:11, time (data): 0.511 (0.000)] l1_latent_opt: 8.0107e-01 fft_latent_opt: 6.4046e-01 +2025-10-29 17:12:44,084 INFO: [28..][epoch: 1, step: 17,900, lr:(2.000e-04,)] [eta: 16:05:01, time (data): 0.510 (0.000)] l1_latent_opt: 8.1715e-01 fft_latent_opt: 6.4184e-01 +2025-10-29 17:14:06,091 INFO: [28..][epoch: 1, step: 18,000, lr:(2.000e-04,)] [eta: 16:06:53, time (data): 0.789 (0.000)] l1_latent_opt: 8.1744e-01 fft_latent_opt: 6.3750e-01 +2025-10-29 17:14:57,112 INFO: [28..][epoch: 1, step: 18,100, lr:(2.000e-04,)] [eta: 16:05:40, time (data): 0.510 (0.000)] l1_latent_opt: 8.1491e-01 fft_latent_opt: 6.4034e-01 +2025-10-29 17:15:48,334 INFO: [28..][epoch: 1, step: 18,200, lr:(2.000e-04,)] [eta: 16:04:28, time (data): 0.512 (0.000)] l1_latent_opt: 8.1394e-01 fft_latent_opt: 6.4225e-01 +2025-10-29 17:16:39,584 INFO: [28..][epoch: 1, step: 18,300, lr:(2.000e-04,)] [eta: 16:03:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.1082e-01 fft_latent_opt: 6.3943e-01 +2025-10-29 17:17:31,151 INFO: [28..][epoch: 1, step: 18,400, lr:(2.000e-04,)] [eta: 16:02:08, time (data): 0.515 (0.000)] l1_latent_opt: 8.0293e-01 fft_latent_opt: 6.3265e-01 +2025-10-29 17:18:22,344 INFO: [28..][epoch: 1, step: 18,500, lr:(2.000e-04,)] [eta: 16:00:57, time (data): 0.510 (0.000)] l1_latent_opt: 8.1168e-01 fft_latent_opt: 6.3675e-01 +2025-10-29 17:19:13,602 INFO: [28..][epoch: 1, step: 18,600, lr:(2.000e-04,)] [eta: 15:59:46, time (data): 0.512 (0.000)] l1_latent_opt: 8.1231e-01 fft_latent_opt: 6.4227e-01 +2025-10-29 17:20:05,187 INFO: [28..][epoch: 1, step: 18,700, lr:(2.000e-04,)] [eta: 15:58:38, time (data): 0.518 (0.000)] l1_latent_opt: 8.1956e-01 fft_latent_opt: 6.4677e-01 +2025-10-29 17:20:56,341 INFO: [28..][epoch: 1, step: 18,800, lr:(2.000e-04,)] [eta: 15:57:27, time (data): 0.512 (0.000)] l1_latent_opt: 8.1123e-01 fft_latent_opt: 6.3818e-01 +2025-10-29 17:21:47,369 INFO: [28..][epoch: 1, step: 18,900, lr:(2.000e-04,)] [eta: 15:56:15, time (data): 0.510 (0.000)] l1_latent_opt: 8.0484e-01 fft_latent_opt: 6.3267e-01 +2025-10-29 17:22:38,566 INFO: [28..][epoch: 1, step: 19,000, lr:(2.000e-04,)] [eta: 15:55:05, time (data): 0.512 (0.000)] l1_latent_opt: 8.1232e-01 fft_latent_opt: 6.4038e-01 +2025-10-29 17:23:29,698 INFO: [28..][epoch: 1, step: 19,100, lr:(2.000e-04,)] [eta: 15:53:55, time (data): 0.516 (0.000)] l1_latent_opt: 8.1282e-01 fft_latent_opt: 6.4108e-01 +2025-10-29 17:24:20,799 INFO: [28..][epoch: 1, step: 19,200, lr:(2.000e-04,)] [eta: 15:52:45, time (data): 0.511 (0.000)] l1_latent_opt: 8.1501e-01 fft_latent_opt: 6.4722e-01 +2025-10-29 17:25:12,148 INFO: [28..][epoch: 1, step: 19,300, lr:(2.000e-04,)] [eta: 15:51:36, time (data): 0.516 (0.000)] l1_latent_opt: 8.1496e-01 fft_latent_opt: 6.4297e-01 +2025-10-29 17:26:03,217 INFO: [28..][epoch: 1, step: 19,400, lr:(2.000e-04,)] [eta: 15:50:26, time (data): 0.511 (0.000)] l1_latent_opt: 8.1192e-01 fft_latent_opt: 6.4169e-01 +2025-10-29 17:26:54,248 INFO: [28..][epoch: 1, step: 19,500, lr:(2.000e-04,)] [eta: 15:49:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.1314e-01 fft_latent_opt: 6.4534e-01 +2025-10-29 17:27:45,282 INFO: [28..][epoch: 1, step: 19,600, lr:(2.000e-04,)] [eta: 15:48:06, time (data): 0.510 (0.000)] l1_latent_opt: 8.1483e-01 fft_latent_opt: 6.4216e-01 +2025-10-29 17:28:36,472 INFO: [28..][epoch: 1, step: 19,700, lr:(2.000e-04,)] [eta: 15:46:57, time (data): 0.518 (0.000)] l1_latent_opt: 8.2048e-01 fft_latent_opt: 6.4421e-01 +2025-10-29 17:29:27,675 INFO: [28..][epoch: 1, step: 19,800, lr:(2.000e-04,)] [eta: 15:45:48, time (data): 0.512 (0.000)] l1_latent_opt: 8.0177e-01 fft_latent_opt: 6.3134e-01 +2025-10-29 17:30:18,712 INFO: [28..][epoch: 1, step: 19,900, lr:(2.000e-04,)] [eta: 15:44:39, time (data): 0.510 (0.000)] l1_latent_opt: 8.0160e-01 fft_latent_opt: 6.3668e-01 +2025-10-29 17:31:09,745 INFO: [28..][epoch: 1, step: 20,000, lr:(2.000e-04,)] [eta: 15:43:30, time (data): 0.510 (0.000)] l1_latent_opt: 8.1042e-01 fft_latent_opt: 6.3684e-01 +2025-10-29 17:31:09,746 INFO: Saving models and training states. +2025-10-29 17:33:16,603 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8784 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2621 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.2112 Best: 26.2112 @ 20000 iter + +2025-10-29 17:34:07,876 INFO: [28..][epoch: 1, step: 20,100, lr:(2.000e-04,)] [eta: 15:53:24, time (data): 0.511 (0.000)] l1_latent_opt: 8.1569e-01 fft_latent_opt: 6.4477e-01 +2025-10-29 17:34:59,148 INFO: [28..][epoch: 1, step: 20,200, lr:(2.000e-04,)] [eta: 15:52:13, time (data): 0.513 (0.000)] l1_latent_opt: 8.1439e-01 fft_latent_opt: 6.4334e-01 +2025-10-29 17:35:50,383 INFO: [28..][epoch: 1, step: 20,300, lr:(2.000e-04,)] [eta: 15:51:01, time (data): 0.513 (0.000)] l1_latent_opt: 8.1141e-01 fft_latent_opt: 6.3676e-01 +2025-10-29 17:36:41,793 INFO: [28..][epoch: 1, step: 20,400, lr:(2.000e-04,)] [eta: 15:49:51, time (data): 0.514 (0.000)] l1_latent_opt: 8.0917e-01 fft_latent_opt: 6.4070e-01 +2025-10-29 17:37:32,932 INFO: [28..][epoch: 1, step: 20,500, lr:(2.000e-04,)] [eta: 15:48:40, time (data): 0.513 (0.000)] l1_latent_opt: 8.0283e-01 fft_latent_opt: 6.3521e-01 +2025-10-29 17:38:23,996 INFO: [28..][epoch: 1, step: 20,600, lr:(2.000e-04,)] [eta: 15:47:28, time (data): 0.511 (0.000)] l1_latent_opt: 8.1493e-01 fft_latent_opt: 6.4842e-01 +2025-10-29 17:39:15,072 INFO: [28..][epoch: 1, step: 20,700, lr:(2.000e-04,)] [eta: 15:46:16, time (data): 0.511 (0.000)] l1_latent_opt: 8.1911e-01 fft_latent_opt: 6.4185e-01 +2025-10-29 17:40:06,061 INFO: [28..][epoch: 1, step: 20,800, lr:(2.000e-04,)] [eta: 15:45:05, time (data): 0.510 (0.000)] l1_latent_opt: 8.0250e-01 fft_latent_opt: 6.3744e-01 +2025-10-29 17:40:57,044 INFO: [28..][epoch: 1, step: 20,900, lr:(2.000e-04,)] [eta: 15:43:53, time (data): 0.510 (0.000)] l1_latent_opt: 8.1166e-01 fft_latent_opt: 6.4036e-01 +2025-10-29 17:41:48,041 INFO: [28..][epoch: 1, step: 21,000, lr:(2.000e-04,)] [eta: 15:42:42, time (data): 0.510 (0.000)] l1_latent_opt: 8.0658e-01 fft_latent_opt: 6.3782e-01 +2025-10-29 17:42:39,046 INFO: [28..][epoch: 1, step: 21,100, lr:(2.000e-04,)] [eta: 15:41:31, time (data): 0.510 (0.000)] l1_latent_opt: 8.0779e-01 fft_latent_opt: 6.4232e-01 +2025-10-29 17:43:30,041 INFO: [28..][epoch: 1, step: 21,200, lr:(2.000e-04,)] [eta: 15:40:20, time (data): 0.510 (0.000)] l1_latent_opt: 8.1208e-01 fft_latent_opt: 6.3861e-01 +2025-10-29 17:44:21,013 INFO: [28..][epoch: 1, step: 21,300, lr:(2.000e-04,)] [eta: 15:39:09, time (data): 0.510 (0.000)] l1_latent_opt: 8.0968e-01 fft_latent_opt: 6.4074e-01 +2025-10-29 17:45:12,306 INFO: [28..][epoch: 1, step: 21,400, lr:(2.000e-04,)] [eta: 15:38:00, time (data): 0.513 (0.000)] l1_latent_opt: 7.9559e-01 fft_latent_opt: 6.2993e-01 +2025-10-29 17:46:03,565 INFO: [28..][epoch: 1, step: 21,500, lr:(2.000e-04,)] [eta: 15:36:51, time (data): 0.513 (0.000)] l1_latent_opt: 8.0410e-01 fft_latent_opt: 6.3656e-01 +2025-10-29 17:46:54,594 INFO: [28..][epoch: 1, step: 21,600, lr:(2.000e-04,)] [eta: 15:35:41, time (data): 0.510 (0.000)] l1_latent_opt: 8.0451e-01 fft_latent_opt: 6.3714e-01 +2025-10-29 17:47:45,829 INFO: [28..][epoch: 1, step: 21,700, lr:(2.000e-04,)] [eta: 15:34:32, time (data): 0.511 (0.000)] l1_latent_opt: 7.9834e-01 fft_latent_opt: 6.3510e-01 +2025-10-29 17:48:36,959 INFO: [28..][epoch: 1, step: 21,800, lr:(2.000e-04,)] [eta: 15:33:23, time (data): 0.511 (0.000)] l1_latent_opt: 8.1366e-01 fft_latent_opt: 6.4021e-01 +2025-10-29 17:49:28,032 INFO: [28..][epoch: 1, step: 21,900, lr:(2.000e-04,)] [eta: 15:32:14, time (data): 0.511 (0.000)] l1_latent_opt: 8.0604e-01 fft_latent_opt: 6.3529e-01 +2025-10-29 17:50:19,013 INFO: [28..][epoch: 1, step: 22,000, lr:(2.000e-04,)] [eta: 15:31:04, time (data): 0.510 (0.000)] l1_latent_opt: 8.1715e-01 fft_latent_opt: 6.4617e-01 +2025-10-29 17:51:10,005 INFO: [28..][epoch: 1, step: 22,100, lr:(2.000e-04,)] [eta: 15:29:55, time (data): 0.510 (0.000)] l1_latent_opt: 8.1343e-01 fft_latent_opt: 6.4111e-01 +2025-10-29 17:52:00,954 INFO: [28..][epoch: 1, step: 22,200, lr:(2.000e-04,)] [eta: 15:28:45, time (data): 0.510 (0.000)] l1_latent_opt: 8.0703e-01 fft_latent_opt: 6.3294e-01 +2025-10-29 17:52:52,061 INFO: [28..][epoch: 1, step: 22,300, lr:(2.000e-04,)] [eta: 15:27:37, time (data): 0.510 (0.000)] l1_latent_opt: 8.0223e-01 fft_latent_opt: 6.3906e-01 +2025-10-29 17:53:43,106 INFO: [28..][epoch: 1, step: 22,400, lr:(2.000e-04,)] [eta: 15:26:28, time (data): 0.510 (0.000)] l1_latent_opt: 8.0956e-01 fft_latent_opt: 6.3781e-01 +2025-10-29 17:54:34,215 INFO: [28..][epoch: 1, step: 22,500, lr:(2.000e-04,)] [eta: 15:25:20, time (data): 0.511 (0.000)] l1_latent_opt: 8.2266e-01 fft_latent_opt: 6.4601e-01 +2025-10-29 17:55:25,340 INFO: [28..][epoch: 1, step: 22,600, lr:(2.000e-04,)] [eta: 15:24:12, time (data): 0.511 (0.000)] l1_latent_opt: 8.0252e-01 fft_latent_opt: 6.2341e-01 +2025-10-29 17:56:16,385 INFO: [28..][epoch: 1, step: 22,700, lr:(2.000e-04,)] [eta: 15:23:04, time (data): 0.511 (0.000)] l1_latent_opt: 8.0633e-01 fft_latent_opt: 6.3652e-01 +2025-10-29 17:57:07,481 INFO: [28..][epoch: 1, step: 22,800, lr:(2.000e-04,)] [eta: 15:21:56, time (data): 0.511 (0.000)] l1_latent_opt: 8.0868e-01 fft_latent_opt: 6.3508e-01 +2025-10-29 17:57:58,635 INFO: [28..][epoch: 1, step: 22,900, lr:(2.000e-04,)] [eta: 15:20:49, time (data): 0.511 (0.000)] l1_latent_opt: 7.9857e-01 fft_latent_opt: 6.2429e-01 +2025-10-29 17:58:49,539 INFO: [28..][epoch: 1, step: 23,000, lr:(2.000e-04,)] [eta: 15:19:40, time (data): 0.509 (0.000)] l1_latent_opt: 8.0473e-01 fft_latent_opt: 6.3425e-01 +2025-10-29 17:59:40,840 INFO: [28..][epoch: 1, step: 23,100, lr:(2.000e-04,)] [eta: 15:18:34, time (data): 0.511 (0.000)] l1_latent_opt: 8.0275e-01 fft_latent_opt: 6.3078e-01 +2025-10-29 18:00:31,902 INFO: [28..][epoch: 1, step: 23,200, lr:(2.000e-04,)] [eta: 15:17:27, time (data): 0.511 (0.000)] l1_latent_opt: 8.1606e-01 fft_latent_opt: 6.4289e-01 +2025-10-29 18:01:22,899 INFO: [28..][epoch: 1, step: 23,300, lr:(2.000e-04,)] [eta: 15:16:19, time (data): 0.510 (0.000)] l1_latent_opt: 8.0123e-01 fft_latent_opt: 6.2693e-01 +2025-10-29 18:02:13,927 INFO: [28..][epoch: 1, step: 23,400, lr:(2.000e-04,)] [eta: 15:15:12, time (data): 0.510 (0.000)] l1_latent_opt: 8.0136e-01 fft_latent_opt: 6.3863e-01 +2025-10-29 18:03:04,984 INFO: [28..][epoch: 1, step: 23,500, lr:(2.000e-04,)] [eta: 15:14:05, time (data): 0.510 (0.000)] l1_latent_opt: 8.0732e-01 fft_latent_opt: 6.3523e-01 +2025-10-29 18:03:55,952 INFO: [28..][epoch: 1, step: 23,600, lr:(2.000e-04,)] [eta: 15:12:58, time (data): 0.510 (0.000)] l1_latent_opt: 8.1025e-01 fft_latent_opt: 6.4681e-01 +2025-10-29 18:04:46,937 INFO: [28..][epoch: 1, step: 23,700, lr:(2.000e-04,)] [eta: 15:11:51, time (data): 0.510 (0.000)] l1_latent_opt: 8.1145e-01 fft_latent_opt: 6.3879e-01 +2025-10-29 18:05:37,918 INFO: [28..][epoch: 1, step: 23,800, lr:(2.000e-04,)] [eta: 15:10:44, time (data): 0.510 (0.000)] l1_latent_opt: 8.0073e-01 fft_latent_opt: 6.2509e-01 +2025-10-29 18:06:28,974 INFO: [28..][epoch: 1, step: 23,900, lr:(2.000e-04,)] [eta: 15:09:37, time (data): 0.510 (0.000)] l1_latent_opt: 8.2272e-01 fft_latent_opt: 6.3932e-01 +2025-10-29 18:07:19,997 INFO: [28..][epoch: 1, step: 24,000, lr:(2.000e-04,)] [eta: 15:08:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.9979e-01 fft_latent_opt: 6.3089e-01 +2025-10-29 18:08:11,184 INFO: [28..][epoch: 1, step: 24,100, lr:(2.000e-04,)] [eta: 15:07:25, time (data): 0.511 (0.000)] l1_latent_opt: 8.0237e-01 fft_latent_opt: 6.3037e-01 +2025-10-29 18:09:02,206 INFO: [28..][epoch: 1, step: 24,200, lr:(2.000e-04,)] [eta: 15:06:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.9952e-01 fft_latent_opt: 6.2832e-01 +2025-10-29 18:09:53,177 INFO: [28..][epoch: 1, step: 24,300, lr:(2.000e-04,)] [eta: 15:05:13, time (data): 0.510 (0.000)] l1_latent_opt: 8.0404e-01 fft_latent_opt: 6.3512e-01 +2025-10-29 18:10:44,163 INFO: [28..][epoch: 1, step: 24,400, lr:(2.000e-04,)] [eta: 15:04:07, time (data): 0.510 (0.000)] l1_latent_opt: 8.0211e-01 fft_latent_opt: 6.2783e-01 +2025-10-29 18:11:35,242 INFO: [28..][epoch: 1, step: 24,500, lr:(2.000e-04,)] [eta: 15:03:01, time (data): 0.510 (0.000)] l1_latent_opt: 8.0612e-01 fft_latent_opt: 6.3535e-01 +2025-10-29 18:12:26,321 INFO: [28..][epoch: 1, step: 24,600, lr:(2.000e-04,)] [eta: 15:01:56, time (data): 0.511 (0.000)] l1_latent_opt: 8.0224e-01 fft_latent_opt: 6.3422e-01 +2025-10-29 18:13:17,592 INFO: [28..][epoch: 1, step: 24,700, lr:(2.000e-04,)] [eta: 15:00:51, time (data): 0.512 (0.000)] l1_latent_opt: 8.1047e-01 fft_latent_opt: 6.4364e-01 +2025-10-29 18:14:08,816 INFO: [28..][epoch: 1, step: 24,800, lr:(2.000e-04,)] [eta: 14:59:46, time (data): 0.512 (0.000)] l1_latent_opt: 8.0898e-01 fft_latent_opt: 6.2917e-01 +2025-10-29 18:15:00,206 INFO: [28..][epoch: 1, step: 24,900, lr:(2.000e-04,)] [eta: 14:58:42, time (data): 0.513 (0.000)] l1_latent_opt: 8.2441e-01 fft_latent_opt: 6.4053e-01 +2025-10-29 18:15:51,456 INFO: [28..][epoch: 1, step: 25,000, lr:(2.000e-04,)] [eta: 14:57:38, time (data): 0.513 (0.000)] l1_latent_opt: 7.9421e-01 fft_latent_opt: 6.2729e-01 +2025-10-29 18:15:51,457 INFO: Saving models and training states. +2025-10-29 18:18:37,961 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8782 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2609 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.3087 Best: 26.3087 @ 25000 iter + +2025-10-29 18:19:29,114 INFO: [28..][epoch: 1, step: 25,100, lr:(2.000e-04,)] [eta: 15:07:36, time (data): 0.512 (0.000)] l1_latent_opt: 8.0961e-01 fft_latent_opt: 6.3374e-01 +2025-10-29 18:20:20,420 INFO: [28..][epoch: 1, step: 25,200, lr:(2.000e-04,)] [eta: 15:06:29, time (data): 0.513 (0.000)] l1_latent_opt: 8.0052e-01 fft_latent_opt: 6.3570e-01 +2025-10-29 18:21:12,071 INFO: [28..][epoch: 1, step: 25,300, lr:(2.000e-04,)] [eta: 15:05:23, time (data): 0.515 (0.001)] l1_latent_opt: 8.0683e-01 fft_latent_opt: 6.3356e-01 +2025-10-29 18:22:05,658 INFO: [28..][epoch: 2, step: 25,400, lr:(2.000e-04,)] [eta: 15:04:25, time (data): 0.512 (0.000)] l1_latent_opt: 8.0646e-01 fft_latent_opt: 6.2914e-01 +2025-10-29 18:22:56,578 INFO: [28..][epoch: 2, step: 25,500, lr:(2.000e-04,)] [eta: 15:03:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.0646e-01 fft_latent_opt: 6.3156e-01 +2025-10-29 18:23:47,483 INFO: [28..][epoch: 2, step: 25,600, lr:(2.000e-04,)] [eta: 15:02:08, time (data): 0.509 (0.000)] l1_latent_opt: 8.1038e-01 fft_latent_opt: 6.3504e-01 +2025-10-29 18:24:38,426 INFO: [28..][epoch: 2, step: 25,700, lr:(2.000e-04,)] [eta: 15:01:00, time (data): 0.509 (0.000)] l1_latent_opt: 8.0480e-01 fft_latent_opt: 6.2477e-01 +2025-10-29 18:25:29,463 INFO: [28..][epoch: 2, step: 25,800, lr:(2.000e-04,)] [eta: 14:59:53, time (data): 0.511 (0.000)] l1_latent_opt: 8.0887e-01 fft_latent_opt: 6.3240e-01 +2025-10-29 18:26:20,406 INFO: [28..][epoch: 2, step: 25,900, lr:(2.000e-04,)] [eta: 14:58:45, time (data): 0.510 (0.000)] l1_latent_opt: 8.0600e-01 fft_latent_opt: 6.3405e-01 +2025-10-29 18:27:11,347 INFO: [28..][epoch: 2, step: 26,000, lr:(2.000e-04,)] [eta: 14:57:37, time (data): 0.509 (0.000)] l1_latent_opt: 8.0290e-01 fft_latent_opt: 6.3661e-01 +2025-10-29 18:28:02,292 INFO: [28..][epoch: 2, step: 26,100, lr:(2.000e-04,)] [eta: 14:56:30, time (data): 0.509 (0.000)] l1_latent_opt: 8.0197e-01 fft_latent_opt: 6.3378e-01 +2025-10-29 18:28:53,238 INFO: [28..][epoch: 2, step: 26,200, lr:(2.000e-04,)] [eta: 14:55:23, time (data): 0.509 (0.000)] l1_latent_opt: 8.0427e-01 fft_latent_opt: 6.3081e-01 +2025-10-29 18:29:44,301 INFO: [28..][epoch: 2, step: 26,300, lr:(2.000e-04,)] [eta: 14:54:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.0550e-01 fft_latent_opt: 6.2373e-01 +2025-10-29 18:30:35,512 INFO: [28..][epoch: 2, step: 26,400, lr:(2.000e-04,)] [eta: 14:53:10, time (data): 0.513 (0.000)] l1_latent_opt: 8.0294e-01 fft_latent_opt: 6.3554e-01 +2025-10-29 18:31:26,784 INFO: [28..][epoch: 2, step: 26,500, lr:(2.000e-04,)] [eta: 14:52:04, time (data): 0.513 (0.000)] l1_latent_opt: 8.0520e-01 fft_latent_opt: 6.3522e-01 +2025-10-29 18:32:17,848 INFO: [28..][epoch: 2, step: 26,600, lr:(2.000e-04,)] [eta: 14:50:57, time (data): 0.510 (0.000)] l1_latent_opt: 8.0538e-01 fft_latent_opt: 6.3744e-01 +2025-10-29 18:33:08,909 INFO: [28..][epoch: 2, step: 26,700, lr:(2.000e-04,)] [eta: 14:49:51, time (data): 0.510 (0.000)] l1_latent_opt: 8.1530e-01 fft_latent_opt: 6.4699e-01 +2025-10-29 18:33:59,920 INFO: [28..][epoch: 2, step: 26,800, lr:(2.000e-04,)] [eta: 14:48:45, time (data): 0.510 (0.000)] l1_latent_opt: 8.0212e-01 fft_latent_opt: 6.3309e-01 +2025-10-29 18:34:51,083 INFO: [28..][epoch: 2, step: 26,900, lr:(2.000e-04,)] [eta: 14:47:39, time (data): 0.511 (0.000)] l1_latent_opt: 7.9837e-01 fft_latent_opt: 6.2438e-01 +2025-10-29 18:35:42,410 INFO: [28..][epoch: 2, step: 27,000, lr:(2.000e-04,)] [eta: 14:46:34, time (data): 0.512 (0.000)] l1_latent_opt: 7.9852e-01 fft_latent_opt: 6.3704e-01 +2025-10-29 18:36:33,797 INFO: [28..][epoch: 2, step: 27,100, lr:(2.000e-04,)] [eta: 14:45:29, time (data): 0.513 (0.000)] l1_latent_opt: 8.0718e-01 fft_latent_opt: 6.3339e-01 +2025-10-29 18:37:24,790 INFO: [28..][epoch: 2, step: 27,200, lr:(2.000e-04,)] [eta: 14:44:23, time (data): 0.510 (0.000)] l1_latent_opt: 8.0317e-01 fft_latent_opt: 6.3376e-01 +2025-10-29 18:38:15,764 INFO: [28..][epoch: 2, step: 27,300, lr:(2.000e-04,)] [eta: 14:43:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.1237e-01 fft_latent_opt: 6.3642e-01 +2025-10-29 18:39:06,700 INFO: [28..][epoch: 2, step: 27,400, lr:(2.000e-04,)] [eta: 14:42:11, time (data): 0.509 (0.000)] l1_latent_opt: 8.1977e-01 fft_latent_opt: 6.2954e-01 +2025-10-29 18:39:57,993 INFO: [28..][epoch: 2, step: 27,500, lr:(2.000e-04,)] [eta: 14:41:06, time (data): 0.512 (0.000)] l1_latent_opt: 8.0174e-01 fft_latent_opt: 6.2305e-01 +2025-10-29 18:40:49,185 INFO: [28..][epoch: 2, step: 27,600, lr:(2.000e-04,)] [eta: 14:40:01, time (data): 0.513 (0.000)] l1_latent_opt: 8.0371e-01 fft_latent_opt: 6.3174e-01 +2025-10-29 18:41:40,131 INFO: [28..][epoch: 2, step: 27,700, lr:(2.000e-04,)] [eta: 14:38:56, time (data): 0.511 (0.000)] l1_latent_opt: 8.0836e-01 fft_latent_opt: 6.3514e-01 +2025-10-29 18:42:31,103 INFO: [28..][epoch: 2, step: 27,800, lr:(2.000e-04,)] [eta: 14:37:50, time (data): 0.510 (0.000)] l1_latent_opt: 8.1195e-01 fft_latent_opt: 6.3252e-01 +2025-10-29 18:43:22,039 INFO: [28..][epoch: 2, step: 27,900, lr:(2.000e-04,)] [eta: 14:36:45, time (data): 0.509 (0.000)] l1_latent_opt: 8.0365e-01 fft_latent_opt: 6.3186e-01 +2025-10-29 18:44:13,007 INFO: [28..][epoch: 2, step: 28,000, lr:(2.000e-04,)] [eta: 14:35:39, time (data): 0.510 (0.000)] l1_latent_opt: 8.0463e-01 fft_latent_opt: 6.3167e-01 +2025-10-29 18:45:04,209 INFO: [28..][epoch: 2, step: 28,100, lr:(2.000e-04,)] [eta: 14:34:35, time (data): 0.511 (0.000)] l1_latent_opt: 7.9525e-01 fft_latent_opt: 6.2748e-01 +2025-10-29 18:45:55,251 INFO: [28..][epoch: 2, step: 28,200, lr:(2.000e-04,)] [eta: 14:33:30, time (data): 0.511 (0.000)] l1_latent_opt: 7.9882e-01 fft_latent_opt: 6.3121e-01 +2025-10-29 18:46:46,191 INFO: [28..][epoch: 2, step: 28,300, lr:(2.000e-04,)] [eta: 14:32:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.9653e-01 fft_latent_opt: 6.3102e-01 +2025-10-29 18:47:37,262 INFO: [28..][epoch: 2, step: 28,400, lr:(2.000e-04,)] [eta: 14:31:21, time (data): 0.509 (0.000)] l1_latent_opt: 7.9558e-01 fft_latent_opt: 6.2607e-01 +2025-10-29 18:48:28,206 INFO: [28..][epoch: 2, step: 28,500, lr:(2.000e-04,)] [eta: 14:30:16, time (data): 0.509 (0.000)] l1_latent_opt: 8.0020e-01 fft_latent_opt: 6.2819e-01 +2025-10-29 18:49:19,492 INFO: [28..][epoch: 2, step: 28,600, lr:(2.000e-04,)] [eta: 14:29:12, time (data): 0.515 (0.000)] l1_latent_opt: 8.0809e-01 fft_latent_opt: 6.3780e-01 +2025-10-29 18:50:10,474 INFO: [28..][epoch: 2, step: 28,700, lr:(2.000e-04,)] [eta: 14:28:07, time (data): 0.512 (0.000)] l1_latent_opt: 7.9456e-01 fft_latent_opt: 6.2149e-01 +2025-10-29 18:51:01,450 INFO: [28..][epoch: 2, step: 28,800, lr:(2.000e-04,)] [eta: 14:27:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.9768e-01 fft_latent_opt: 6.2763e-01 +2025-10-29 18:51:53,011 INFO: [28..][epoch: 2, step: 28,900, lr:(2.000e-04,)] [eta: 14:26:01, time (data): 0.514 (0.000)] l1_latent_opt: 8.0571e-01 fft_latent_opt: 6.3112e-01 +2025-10-29 18:52:44,234 INFO: [28..][epoch: 2, step: 29,000, lr:(2.000e-04,)] [eta: 14:24:57, time (data): 0.514 (0.000)] l1_latent_opt: 8.0049e-01 fft_latent_opt: 6.2261e-01 +2025-10-29 18:53:35,267 INFO: [28..][epoch: 2, step: 29,100, lr:(2.000e-04,)] [eta: 14:23:53, time (data): 0.512 (0.000)] l1_latent_opt: 8.0505e-01 fft_latent_opt: 6.2848e-01 +2025-10-29 18:54:26,869 INFO: [28..][epoch: 2, step: 29,200, lr:(2.000e-04,)] [eta: 14:22:51, time (data): 0.516 (0.000)] l1_latent_opt: 8.0272e-01 fft_latent_opt: 6.3223e-01 +2025-10-29 18:55:18,304 INFO: [28..][epoch: 2, step: 29,300, lr:(2.000e-04,)] [eta: 14:21:48, time (data): 0.515 (0.000)] l1_latent_opt: 8.0735e-01 fft_latent_opt: 6.3814e-01 +2025-10-29 18:56:09,587 INFO: [28..][epoch: 2, step: 29,400, lr:(2.000e-04,)] [eta: 14:20:45, time (data): 0.516 (0.000)] l1_latent_opt: 8.0137e-01 fft_latent_opt: 6.2647e-01 +2025-10-29 18:57:00,557 INFO: [28..][epoch: 2, step: 29,500, lr:(2.000e-04,)] [eta: 14:19:42, time (data): 0.512 (0.000)] l1_latent_opt: 8.1086e-01 fft_latent_opt: 6.3468e-01 +2025-10-29 18:57:51,523 INFO: [28..][epoch: 2, step: 29,600, lr:(2.000e-04,)] [eta: 14:18:38, time (data): 0.510 (0.000)] l1_latent_opt: 7.9796e-01 fft_latent_opt: 6.2905e-01 +2025-10-29 18:58:42,792 INFO: [28..][epoch: 2, step: 29,700, lr:(2.000e-04,)] [eta: 14:17:35, time (data): 0.512 (0.000)] l1_latent_opt: 7.9811e-01 fft_latent_opt: 6.2911e-01 +2025-10-29 18:59:33,884 INFO: [28..][epoch: 2, step: 29,800, lr:(2.000e-04,)] [eta: 14:16:32, time (data): 0.512 (0.000)] l1_latent_opt: 7.9152e-01 fft_latent_opt: 6.2895e-01 +2025-10-29 19:00:24,937 INFO: [28..][epoch: 2, step: 29,900, lr:(2.000e-04,)] [eta: 14:15:28, time (data): 0.511 (0.000)] l1_latent_opt: 7.9510e-01 fft_latent_opt: 6.2983e-01 +2025-10-29 19:01:15,935 INFO: [28..][epoch: 2, step: 30,000, lr:(2.000e-04,)] [eta: 14:14:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.9149e-01 fft_latent_opt: 6.2286e-01 +2025-10-29 19:01:15,936 INFO: Saving models and training states. +2025-10-29 19:03:25,651 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8778 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2601 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.3476 Best: 26.3476 @ 30000 iter + +2025-10-29 19:04:16,701 INFO: [28..][epoch: 2, step: 30,100, lr:(2.000e-04,)] [eta: 14:20:11, time (data): 0.510 (0.000)] l1_latent_opt: 8.0825e-01 fft_latent_opt: 6.3383e-01 +2025-10-29 19:05:07,690 INFO: [28..][epoch: 2, step: 30,200, lr:(2.000e-04,)] [eta: 14:19:06, time (data): 0.509 (0.000)] l1_latent_opt: 8.0490e-01 fft_latent_opt: 6.3497e-01 +2025-10-29 19:05:58,700 INFO: [28..][epoch: 2, step: 30,300, lr:(2.000e-04,)] [eta: 14:18:01, time (data): 0.510 (0.000)] l1_latent_opt: 8.0718e-01 fft_latent_opt: 6.3789e-01 +2025-10-29 19:06:49,884 INFO: [28..][epoch: 2, step: 30,400, lr:(2.000e-04,)] [eta: 14:16:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.9004e-01 fft_latent_opt: 6.2070e-01 +2025-10-29 19:07:41,029 INFO: [28..][epoch: 2, step: 30,500, lr:(2.000e-04,)] [eta: 14:15:52, time (data): 0.511 (0.000)] l1_latent_opt: 8.0307e-01 fft_latent_opt: 6.3506e-01 +2025-10-29 19:08:32,040 INFO: [28..][epoch: 2, step: 30,600, lr:(2.000e-04,)] [eta: 14:14:48, time (data): 0.510 (0.000)] l1_latent_opt: 8.0525e-01 fft_latent_opt: 6.2532e-01 +2025-10-29 19:09:23,038 INFO: [28..][epoch: 2, step: 30,700, lr:(2.000e-04,)] [eta: 14:13:43, time (data): 0.510 (0.000)] l1_latent_opt: 8.0068e-01 fft_latent_opt: 6.2570e-01 +2025-10-29 19:10:14,026 INFO: [28..][epoch: 2, step: 30,800, lr:(2.000e-04,)] [eta: 14:12:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.9963e-01 fft_latent_opt: 6.2784e-01 +2025-10-29 19:11:05,040 INFO: [28..][epoch: 2, step: 30,900, lr:(2.000e-04,)] [eta: 14:11:34, time (data): 0.510 (0.000)] l1_latent_opt: 8.0698e-01 fft_latent_opt: 6.3182e-01 +2025-10-29 19:11:56,020 INFO: [28..][epoch: 2, step: 31,000, lr:(2.000e-04,)] [eta: 14:10:30, time (data): 0.510 (0.000)] l1_latent_opt: 8.0572e-01 fft_latent_opt: 6.2791e-01 +2025-10-29 19:12:47,094 INFO: [28..][epoch: 2, step: 31,100, lr:(2.000e-04,)] [eta: 14:09:26, time (data): 0.510 (0.000)] l1_latent_opt: 8.0373e-01 fft_latent_opt: 6.2842e-01 +2025-10-29 19:13:38,071 INFO: [28..][epoch: 2, step: 31,200, lr:(2.000e-04,)] [eta: 14:08:22, time (data): 0.510 (0.000)] l1_latent_opt: 8.0265e-01 fft_latent_opt: 6.3035e-01 +2025-10-29 19:14:29,045 INFO: [28..][epoch: 2, step: 31,300, lr:(2.000e-04,)] [eta: 14:07:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.9741e-01 fft_latent_opt: 6.3147e-01 +2025-10-29 19:15:20,238 INFO: [28..][epoch: 2, step: 31,400, lr:(2.000e-04,)] [eta: 14:06:14, time (data): 0.512 (0.000)] l1_latent_opt: 8.0414e-01 fft_latent_opt: 6.3762e-01 +2025-10-29 19:16:11,231 INFO: [28..][epoch: 2, step: 31,500, lr:(2.000e-04,)] [eta: 14:05:10, time (data): 0.511 (0.000)] l1_latent_opt: 7.9687e-01 fft_latent_opt: 6.2939e-01 +2025-10-29 19:17:02,370 INFO: [28..][epoch: 2, step: 31,600, lr:(2.000e-04,)] [eta: 14:04:07, time (data): 0.513 (0.000)] l1_latent_opt: 7.9685e-01 fft_latent_opt: 6.3030e-01 +2025-10-29 19:17:53,492 INFO: [28..][epoch: 2, step: 31,700, lr:(2.000e-04,)] [eta: 14:03:03, time (data): 0.512 (0.000)] l1_latent_opt: 8.1608e-01 fft_latent_opt: 6.3413e-01 +2025-10-29 19:18:44,634 INFO: [28..][epoch: 2, step: 31,800, lr:(2.000e-04,)] [eta: 14:02:00, time (data): 0.510 (0.000)] l1_latent_opt: 7.9931e-01 fft_latent_opt: 6.3199e-01 +2025-10-29 19:19:35,691 INFO: [28..][epoch: 2, step: 31,900, lr:(2.000e-04,)] [eta: 14:00:57, time (data): 0.510 (0.000)] l1_latent_opt: 8.0424e-01 fft_latent_opt: 6.2543e-01 +2025-10-29 19:20:26,745 INFO: [28..][epoch: 2, step: 32,000, lr:(2.000e-04,)] [eta: 13:59:54, time (data): 0.510 (0.000)] l1_latent_opt: 7.9273e-01 fft_latent_opt: 6.2475e-01 +2025-10-29 19:21:18,065 INFO: [28..][epoch: 2, step: 32,100, lr:(2.000e-04,)] [eta: 13:58:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.9849e-01 fft_latent_opt: 6.2415e-01 +2025-10-29 19:22:08,998 INFO: [28..][epoch: 2, step: 32,200, lr:(2.000e-04,)] [eta: 13:57:47, time (data): 0.509 (0.000)] l1_latent_opt: 8.0879e-01 fft_latent_opt: 6.2994e-01 +2025-10-29 19:22:59,929 INFO: [28..][epoch: 2, step: 32,300, lr:(2.000e-04,)] [eta: 13:56:44, time (data): 0.509 (0.000)] l1_latent_opt: 7.9815e-01 fft_latent_opt: 6.2603e-01 +2025-10-29 19:23:50,877 INFO: [28..][epoch: 2, step: 32,400, lr:(2.000e-04,)] [eta: 13:55:41, time (data): 0.509 (0.000)] l1_latent_opt: 8.0688e-01 fft_latent_opt: 6.3854e-01 +2025-10-29 19:24:42,094 INFO: [28..][epoch: 2, step: 32,500, lr:(2.000e-04,)] [eta: 13:54:38, time (data): 0.511 (0.000)] l1_latent_opt: 8.0441e-01 fft_latent_opt: 6.3589e-01 +2025-10-29 19:25:33,119 INFO: [28..][epoch: 2, step: 32,600, lr:(2.000e-04,)] [eta: 13:53:35, time (data): 0.511 (0.000)] l1_latent_opt: 8.0958e-01 fft_latent_opt: 6.3919e-01 +2025-10-29 19:26:24,108 INFO: [28..][epoch: 2, step: 32,700, lr:(2.000e-04,)] [eta: 13:52:32, time (data): 0.510 (0.000)] l1_latent_opt: 8.0205e-01 fft_latent_opt: 6.2959e-01 +2025-10-29 19:27:15,053 INFO: [28..][epoch: 2, step: 32,800, lr:(2.000e-04,)] [eta: 13:51:29, time (data): 0.509 (0.000)] l1_latent_opt: 8.1226e-01 fft_latent_opt: 6.3937e-01 +2025-10-29 19:28:06,111 INFO: [28..][epoch: 2, step: 32,900, lr:(2.000e-04,)] [eta: 13:50:27, time (data): 0.510 (0.000)] l1_latent_opt: 8.0330e-01 fft_latent_opt: 6.2557e-01 +2025-10-29 19:28:57,145 INFO: [28..][epoch: 2, step: 33,000, lr:(2.000e-04,)] [eta: 13:49:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.9892e-01 fft_latent_opt: 6.2754e-01 +2025-10-29 19:29:48,196 INFO: [28..][epoch: 2, step: 33,100, lr:(2.000e-04,)] [eta: 13:48:21, time (data): 0.510 (0.000)] l1_latent_opt: 8.0446e-01 fft_latent_opt: 6.2760e-01 +2025-10-29 19:30:39,818 INFO: [28..][epoch: 2, step: 33,200, lr:(2.000e-04,)] [eta: 13:47:20, time (data): 0.516 (0.000)] l1_latent_opt: 8.0788e-01 fft_latent_opt: 6.3511e-01 +2025-10-29 19:31:30,966 INFO: [28..][epoch: 2, step: 33,300, lr:(2.000e-04,)] [eta: 13:46:18, time (data): 0.513 (0.000)] l1_latent_opt: 8.0386e-01 fft_latent_opt: 6.3279e-01 +2025-10-29 19:32:21,912 INFO: [28..][epoch: 2, step: 33,400, lr:(2.000e-04,)] [eta: 13:45:16, time (data): 0.509 (0.000)] l1_latent_opt: 7.9563e-01 fft_latent_opt: 6.2591e-01 +2025-10-29 19:33:12,891 INFO: [28..][epoch: 2, step: 33,500, lr:(2.000e-04,)] [eta: 13:44:13, time (data): 0.510 (0.000)] l1_latent_opt: 8.0466e-01 fft_latent_opt: 6.3114e-01 +2025-10-29 19:34:03,850 INFO: [28..][epoch: 2, step: 33,600, lr:(2.000e-04,)] [eta: 13:43:11, time (data): 0.510 (0.000)] l1_latent_opt: 8.0293e-01 fft_latent_opt: 6.2845e-01 +2025-10-29 19:34:54,812 INFO: [28..][epoch: 2, step: 33,700, lr:(2.000e-04,)] [eta: 13:42:08, time (data): 0.510 (0.000)] l1_latent_opt: 7.9782e-01 fft_latent_opt: 6.3129e-01 +2025-10-29 19:35:45,884 INFO: [28..][epoch: 2, step: 33,800, lr:(2.000e-04,)] [eta: 13:41:06, time (data): 0.510 (0.000)] l1_latent_opt: 8.0680e-01 fft_latent_opt: 6.3094e-01 +2025-10-29 19:36:36,917 INFO: [28..][epoch: 2, step: 33,900, lr:(2.000e-04,)] [eta: 13:40:04, time (data): 0.510 (0.000)] l1_latent_opt: 8.1010e-01 fft_latent_opt: 6.3370e-01 +2025-10-29 19:37:27,925 INFO: [28..][epoch: 2, step: 34,000, lr:(2.000e-04,)] [eta: 13:39:02, time (data): 0.510 (0.000)] l1_latent_opt: 8.0166e-01 fft_latent_opt: 6.2914e-01 +2025-10-29 19:38:19,115 INFO: [28..][epoch: 2, step: 34,100, lr:(2.000e-04,)] [eta: 13:38:01, time (data): 0.511 (0.000)] l1_latent_opt: 7.9783e-01 fft_latent_opt: 6.3235e-01 +2025-10-29 19:39:10,817 INFO: [28..][epoch: 2, step: 34,200, lr:(2.000e-04,)] [eta: 13:37:01, time (data): 0.517 (0.000)] l1_latent_opt: 8.0149e-01 fft_latent_opt: 6.2700e-01 +2025-10-29 19:40:02,501 INFO: [28..][epoch: 2, step: 34,300, lr:(2.000e-04,)] [eta: 13:36:01, time (data): 0.517 (0.000)] l1_latent_opt: 8.1244e-01 fft_latent_opt: 6.3635e-01 +2025-10-29 19:40:53,566 INFO: [28..][epoch: 2, step: 34,400, lr:(2.000e-04,)] [eta: 13:34:59, time (data): 0.512 (0.000)] l1_latent_opt: 8.0252e-01 fft_latent_opt: 6.2522e-01 +2025-10-29 19:41:44,571 INFO: [28..][epoch: 2, step: 34,500, lr:(2.000e-04,)] [eta: 13:33:57, time (data): 0.510 (0.000)] l1_latent_opt: 8.0721e-01 fft_latent_opt: 6.3645e-01 +2025-10-29 19:42:35,562 INFO: [28..][epoch: 2, step: 34,600, lr:(2.000e-04,)] [eta: 13:32:55, time (data): 0.509 (0.000)] l1_latent_opt: 8.0446e-01 fft_latent_opt: 6.3000e-01 +2025-10-29 19:43:26,521 INFO: [28..][epoch: 2, step: 34,700, lr:(2.000e-04,)] [eta: 13:31:54, time (data): 0.510 (0.000)] l1_latent_opt: 8.0048e-01 fft_latent_opt: 6.2499e-01 +2025-10-29 19:44:17,482 INFO: [28..][epoch: 2, step: 34,800, lr:(2.000e-04,)] [eta: 13:30:52, time (data): 0.510 (0.000)] l1_latent_opt: 8.0215e-01 fft_latent_opt: 6.3005e-01 +2025-10-29 19:45:08,438 INFO: [28..][epoch: 2, step: 34,900, lr:(2.000e-04,)] [eta: 13:29:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.9194e-01 fft_latent_opt: 6.2371e-01 +2025-10-29 19:45:59,426 INFO: [28..][epoch: 2, step: 35,000, lr:(2.000e-04,)] [eta: 13:28:49, time (data): 0.511 (0.000)] l1_latent_opt: 8.0125e-01 fft_latent_opt: 6.2382e-01 +2025-10-29 19:45:59,428 INFO: Saving models and training states. +2025-10-29 19:48:46,665 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8781 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2609 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.3609 Best: 26.3609 @ 35000 iter + +2025-10-29 19:49:37,676 INFO: [28..][epoch: 2, step: 35,100, lr:(2.000e-04,)] [eta: 13:34:56, time (data): 0.510 (0.000)] l1_latent_opt: 8.1090e-01 fft_latent_opt: 6.3905e-01 +2025-10-29 19:50:28,781 INFO: [28..][epoch: 2, step: 35,200, lr:(2.000e-04,)] [eta: 13:33:53, time (data): 0.510 (0.000)] l1_latent_opt: 8.0040e-01 fft_latent_opt: 6.2681e-01 +2025-10-29 19:51:19,833 INFO: [28..][epoch: 2, step: 35,300, lr:(2.000e-04,)] [eta: 13:32:50, time (data): 0.510 (0.000)] l1_latent_opt: 8.1093e-01 fft_latent_opt: 6.4053e-01 +2025-10-29 19:52:10,925 INFO: [28..][epoch: 2, step: 35,400, lr:(2.000e-04,)] [eta: 13:31:48, time (data): 0.513 (0.000)] l1_latent_opt: 8.0424e-01 fft_latent_opt: 6.3723e-01 +2025-10-29 19:53:02,046 INFO: [28..][epoch: 2, step: 35,500, lr:(2.000e-04,)] [eta: 13:30:45, time (data): 0.511 (0.000)] l1_latent_opt: 8.1745e-01 fft_latent_opt: 6.4558e-01 +2025-10-29 19:53:52,963 INFO: [28..][epoch: 2, step: 35,600, lr:(2.000e-04,)] [eta: 13:29:42, time (data): 0.509 (0.000)] l1_latent_opt: 7.8590e-01 fft_latent_opt: 6.2208e-01 +2025-10-29 19:54:43,920 INFO: [28..][epoch: 2, step: 35,700, lr:(2.000e-04,)] [eta: 13:28:39, time (data): 0.509 (0.000)] l1_latent_opt: 7.9502e-01 fft_latent_opt: 6.2672e-01 +2025-10-29 19:55:34,910 INFO: [28..][epoch: 2, step: 35,800, lr:(2.000e-04,)] [eta: 13:27:37, time (data): 0.510 (0.000)] l1_latent_opt: 7.9918e-01 fft_latent_opt: 6.2543e-01 +2025-10-29 19:56:25,870 INFO: [28..][epoch: 2, step: 35,900, lr:(2.000e-04,)] [eta: 13:26:34, time (data): 0.510 (0.000)] l1_latent_opt: 8.0892e-01 fft_latent_opt: 6.3601e-01 +2025-10-29 19:57:16,941 INFO: [28..][epoch: 2, step: 36,000, lr:(2.000e-04,)] [eta: 13:25:32, time (data): 0.510 (0.000)] l1_latent_opt: 8.0148e-01 fft_latent_opt: 6.2635e-01 +2025-10-29 19:58:08,009 INFO: [28..][epoch: 2, step: 36,100, lr:(2.000e-04,)] [eta: 13:24:29, time (data): 0.511 (0.000)] l1_latent_opt: 8.0490e-01 fft_latent_opt: 6.3086e-01 +2025-10-29 19:58:59,225 INFO: [28..][epoch: 2, step: 36,200, lr:(2.000e-04,)] [eta: 13:23:27, time (data): 0.513 (0.000)] l1_latent_opt: 8.0235e-01 fft_latent_opt: 6.3313e-01 +2025-10-29 19:59:50,324 INFO: [28..][epoch: 2, step: 36,300, lr:(2.000e-04,)] [eta: 13:22:25, time (data): 0.511 (0.000)] l1_latent_opt: 7.9583e-01 fft_latent_opt: 6.2890e-01 +2025-10-29 20:00:41,355 INFO: [28..][epoch: 2, step: 36,400, lr:(2.000e-04,)] [eta: 13:21:23, time (data): 0.510 (0.000)] l1_latent_opt: 8.1388e-01 fft_latent_opt: 6.3382e-01 +2025-10-29 20:01:32,382 INFO: [28..][epoch: 2, step: 36,500, lr:(2.000e-04,)] [eta: 13:20:21, time (data): 0.510 (0.000)] l1_latent_opt: 8.0739e-01 fft_latent_opt: 6.3201e-01 +2025-10-29 20:02:23,375 INFO: [28..][epoch: 2, step: 36,600, lr:(2.000e-04,)] [eta: 13:19:19, time (data): 0.510 (0.000)] l1_latent_opt: 8.0773e-01 fft_latent_opt: 6.2498e-01 +2025-10-29 20:03:14,371 INFO: [28..][epoch: 2, step: 36,700, lr:(2.000e-04,)] [eta: 13:18:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.0355e-01 fft_latent_opt: 6.3595e-01 +2025-10-29 20:04:05,396 INFO: [28..][epoch: 2, step: 36,800, lr:(2.000e-04,)] [eta: 13:17:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9421e-01 fft_latent_opt: 6.2352e-01 +2025-10-29 20:04:56,393 INFO: [28..][epoch: 2, step: 36,900, lr:(2.000e-04,)] [eta: 13:16:13, time (data): 0.510 (0.000)] l1_latent_opt: 8.0266e-01 fft_latent_opt: 6.2378e-01 +2025-10-29 20:05:47,861 INFO: [28..][epoch: 2, step: 37,000, lr:(2.000e-04,)] [eta: 13:15:12, time (data): 0.513 (0.000)] l1_latent_opt: 7.9833e-01 fft_latent_opt: 6.2682e-01 +2025-10-29 20:06:38,837 INFO: [28..][epoch: 2, step: 37,100, lr:(2.000e-04,)] [eta: 13:14:10, time (data): 0.510 (0.000)] l1_latent_opt: 8.1445e-01 fft_latent_opt: 6.3630e-01 +2025-10-29 20:07:29,840 INFO: [28..][epoch: 2, step: 37,200, lr:(2.000e-04,)] [eta: 13:13:08, time (data): 0.510 (0.000)] l1_latent_opt: 8.0083e-01 fft_latent_opt: 6.3271e-01 +2025-10-29 20:08:20,905 INFO: [28..][epoch: 2, step: 37,300, lr:(2.000e-04,)] [eta: 13:12:07, time (data): 0.511 (0.000)] l1_latent_opt: 8.0796e-01 fft_latent_opt: 6.3739e-01 +2025-10-29 20:09:11,898 INFO: [28..][epoch: 2, step: 37,400, lr:(2.000e-04,)] [eta: 13:11:05, time (data): 0.510 (0.000)] l1_latent_opt: 8.0415e-01 fft_latent_opt: 6.3306e-01 +2025-10-29 20:10:02,890 INFO: [28..][epoch: 2, step: 37,500, lr:(2.000e-04,)] [eta: 13:10:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.8840e-01 fft_latent_opt: 6.2474e-01 +2025-10-29 20:10:53,880 INFO: [28..][epoch: 2, step: 37,600, lr:(2.000e-04,)] [eta: 13:09:02, time (data): 0.510 (0.000)] l1_latent_opt: 8.1205e-01 fft_latent_opt: 6.2971e-01 +2025-10-29 20:11:45,203 INFO: [28..][epoch: 2, step: 37,700, lr:(2.000e-04,)] [eta: 13:08:01, time (data): 0.513 (0.000)] l1_latent_opt: 7.9950e-01 fft_latent_opt: 6.2957e-01 +2025-10-29 20:12:36,587 INFO: [28..][epoch: 2, step: 37,800, lr:(2.000e-04,)] [eta: 13:07:01, time (data): 0.515 (0.000)] l1_latent_opt: 7.9989e-01 fft_latent_opt: 6.2717e-01 +2025-10-29 20:13:27,904 INFO: [28..][epoch: 2, step: 37,900, lr:(2.000e-04,)] [eta: 13:06:00, time (data): 0.513 (0.001)] l1_latent_opt: 8.1879e-01 fft_latent_opt: 6.3510e-01 +2025-10-29 20:14:21,340 INFO: [28..][epoch: 3, step: 38,000, lr:(2.000e-04,)] [eta: 13:05:04, time (data): 0.509 (0.000)] l1_latent_opt: 8.0240e-01 fft_latent_opt: 6.2389e-01 +2025-10-29 20:15:12,257 INFO: [28..][epoch: 3, step: 38,100, lr:(2.000e-04,)] [eta: 13:04:03, time (data): 0.509 (0.000)] l1_latent_opt: 8.0411e-01 fft_latent_opt: 6.3631e-01 +2025-10-29 20:16:03,222 INFO: [28..][epoch: 3, step: 38,200, lr:(2.000e-04,)] [eta: 13:03:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.9987e-01 fft_latent_opt: 6.2530e-01 +2025-10-29 20:16:54,235 INFO: [28..][epoch: 3, step: 38,300, lr:(2.000e-04,)] [eta: 13:02:00, time (data): 0.510 (0.000)] l1_latent_opt: 8.0205e-01 fft_latent_opt: 6.3158e-01 +2025-10-29 20:17:45,398 INFO: [28..][epoch: 3, step: 38,400, lr:(2.000e-04,)] [eta: 13:00:59, time (data): 0.510 (0.000)] l1_latent_opt: 8.0289e-01 fft_latent_opt: 6.3496e-01 +2025-10-29 20:18:36,527 INFO: [28..][epoch: 3, step: 38,500, lr:(2.000e-04,)] [eta: 12:59:58, time (data): 0.511 (0.000)] l1_latent_opt: 7.9654e-01 fft_latent_opt: 6.2548e-01 +2025-10-29 20:19:27,478 INFO: [28..][epoch: 3, step: 38,600, lr:(2.000e-04,)] [eta: 12:58:57, time (data): 0.509 (0.000)] l1_latent_opt: 7.9464e-01 fft_latent_opt: 6.3007e-01 +2025-10-29 20:20:18,477 INFO: [28..][epoch: 3, step: 38,700, lr:(2.000e-04,)] [eta: 12:57:56, time (data): 0.510 (0.000)] l1_latent_opt: 8.0628e-01 fft_latent_opt: 6.2593e-01 +2025-10-29 20:21:09,456 INFO: [28..][epoch: 3, step: 38,800, lr:(2.000e-04,)] [eta: 12:56:55, time (data): 0.510 (0.000)] l1_latent_opt: 7.9197e-01 fft_latent_opt: 6.2410e-01 +2025-10-29 20:22:00,422 INFO: [28..][epoch: 3, step: 38,900, lr:(2.000e-04,)] [eta: 12:55:54, time (data): 0.510 (0.000)] l1_latent_opt: 8.0337e-01 fft_latent_opt: 6.3604e-01 +2025-10-29 20:22:51,404 INFO: [28..][epoch: 3, step: 39,000, lr:(2.000e-04,)] [eta: 12:54:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.9948e-01 fft_latent_opt: 6.2768e-01 +2025-10-29 20:23:42,372 INFO: [28..][epoch: 3, step: 39,100, lr:(2.000e-04,)] [eta: 12:53:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.9991e-01 fft_latent_opt: 6.3037e-01 +2025-10-29 20:24:33,392 INFO: [28..][epoch: 3, step: 39,200, lr:(2.000e-04,)] [eta: 12:52:52, time (data): 0.510 (0.000)] l1_latent_opt: 8.0211e-01 fft_latent_opt: 6.3403e-01 +2025-10-29 20:25:24,658 INFO: [28..][epoch: 3, step: 39,300, lr:(2.000e-04,)] [eta: 12:51:52, time (data): 0.513 (0.000)] l1_latent_opt: 7.8868e-01 fft_latent_opt: 6.1734e-01 +2025-10-29 20:26:15,621 INFO: [28..][epoch: 3, step: 39,400, lr:(2.000e-04,)] [eta: 12:50:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.9775e-01 fft_latent_opt: 6.2815e-01 +2025-10-29 20:27:06,599 INFO: [28..][epoch: 3, step: 39,500, lr:(2.000e-04,)] [eta: 12:49:50, time (data): 0.510 (0.000)] l1_latent_opt: 8.1641e-01 fft_latent_opt: 6.3360e-01 +2025-10-29 20:27:57,555 INFO: [28..][epoch: 3, step: 39,600, lr:(2.000e-04,)] [eta: 12:48:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.9489e-01 fft_latent_opt: 6.3315e-01 +2025-10-29 20:28:48,517 INFO: [28..][epoch: 3, step: 39,700, lr:(2.000e-04,)] [eta: 12:47:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.9459e-01 fft_latent_opt: 6.3006e-01 +2025-10-29 20:29:39,483 INFO: [28..][epoch: 3, step: 39,800, lr:(2.000e-04,)] [eta: 12:46:49, time (data): 0.510 (0.000)] l1_latent_opt: 8.0089e-01 fft_latent_opt: 6.2976e-01 +2025-10-29 20:30:30,473 INFO: [28..][epoch: 3, step: 39,900, lr:(2.000e-04,)] [eta: 12:45:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.9413e-01 fft_latent_opt: 6.2075e-01 +2025-10-29 20:31:21,711 INFO: [28..][epoch: 3, step: 40,000, lr:(2.000e-04,)] [eta: 12:44:48, time (data): 0.510 (0.000)] l1_latent_opt: 8.0062e-01 fft_latent_opt: 6.2702e-01 +2025-10-29 20:31:21,712 INFO: Saving models and training states. +2025-10-29 20:33:34,710 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8771 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2576 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.3822 Best: 26.3822 @ 40000 iter + +2025-10-29 20:34:25,819 INFO: [28..][epoch: 3, step: 40,100, lr:(2.000e-04,)] [eta: 12:48:30, time (data): 0.511 (0.000)] l1_latent_opt: 7.9422e-01 fft_latent_opt: 6.3106e-01 +2025-10-29 20:35:16,854 INFO: [28..][epoch: 3, step: 40,200, lr:(2.000e-04,)] [eta: 12:47:29, time (data): 0.511 (0.000)] l1_latent_opt: 8.0452e-01 fft_latent_opt: 6.3381e-01 +2025-10-29 20:36:07,841 INFO: [28..][epoch: 3, step: 40,300, lr:(2.000e-04,)] [eta: 12:46:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.9315e-01 fft_latent_opt: 6.2669e-01 +2025-10-29 20:36:58,887 INFO: [28..][epoch: 3, step: 40,400, lr:(2.000e-04,)] [eta: 12:45:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.9686e-01 fft_latent_opt: 6.2914e-01 +2025-10-29 20:37:50,082 INFO: [28..][epoch: 3, step: 40,500, lr:(2.000e-04,)] [eta: 12:44:26, time (data): 0.512 (0.000)] l1_latent_opt: 7.9790e-01 fft_latent_opt: 6.2488e-01 +2025-10-29 20:38:41,249 INFO: [28..][epoch: 3, step: 40,600, lr:(2.000e-04,)] [eta: 12:43:25, time (data): 0.512 (0.000)] l1_latent_opt: 7.9975e-01 fft_latent_opt: 6.3205e-01 +2025-10-29 20:39:32,236 INFO: [28..][epoch: 3, step: 40,700, lr:(2.000e-04,)] [eta: 12:42:24, time (data): 0.510 (0.000)] l1_latent_opt: 8.0118e-01 fft_latent_opt: 6.3311e-01 +2025-10-29 20:40:23,376 INFO: [28..][epoch: 3, step: 40,800, lr:(2.000e-04,)] [eta: 12:41:23, time (data): 0.511 (0.000)] l1_latent_opt: 8.0294e-01 fft_latent_opt: 6.2839e-01 +2025-10-29 20:41:14,356 INFO: [28..][epoch: 3, step: 40,900, lr:(2.000e-04,)] [eta: 12:40:22, time (data): 0.510 (0.000)] l1_latent_opt: 8.0647e-01 fft_latent_opt: 6.4056e-01 +2025-10-29 20:42:05,962 INFO: [28..][epoch: 3, step: 41,000, lr:(2.000e-04,)] [eta: 12:39:22, time (data): 0.513 (0.000)] l1_latent_opt: 8.0087e-01 fft_latent_opt: 6.2786e-01 +2025-10-29 20:42:57,054 INFO: [28..][epoch: 3, step: 41,100, lr:(2.000e-04,)] [eta: 12:38:22, time (data): 0.511 (0.000)] l1_latent_opt: 8.1149e-01 fft_latent_opt: 6.3644e-01 +2025-10-29 20:43:48,197 INFO: [28..][epoch: 3, step: 41,200, lr:(2.000e-04,)] [eta: 12:37:21, time (data): 0.511 (0.000)] l1_latent_opt: 7.8894e-01 fft_latent_opt: 6.1228e-01 +2025-10-29 20:44:39,157 INFO: [28..][epoch: 3, step: 41,300, lr:(2.000e-04,)] [eta: 12:36:20, time (data): 0.510 (0.000)] l1_latent_opt: 7.9333e-01 fft_latent_opt: 6.2082e-01 +2025-10-29 20:45:30,120 INFO: [28..][epoch: 3, step: 41,400, lr:(2.000e-04,)] [eta: 12:35:20, time (data): 0.510 (0.000)] l1_latent_opt: 8.0829e-01 fft_latent_opt: 6.3240e-01 +2025-10-29 20:46:21,082 INFO: [28..][epoch: 3, step: 41,500, lr:(2.000e-04,)] [eta: 12:34:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.9902e-01 fft_latent_opt: 6.2624e-01 +2025-10-29 20:47:12,042 INFO: [28..][epoch: 3, step: 41,600, lr:(2.000e-04,)] [eta: 12:33:18, time (data): 0.510 (0.000)] l1_latent_opt: 8.0121e-01 fft_latent_opt: 6.2592e-01 +2025-10-29 20:48:03,007 INFO: [28..][epoch: 3, step: 41,700, lr:(2.000e-04,)] [eta: 12:32:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.0366e-01 fft_latent_opt: 6.3369e-01 +2025-10-29 20:48:54,143 INFO: [28..][epoch: 3, step: 41,800, lr:(2.000e-04,)] [eta: 12:31:17, time (data): 0.511 (0.000)] l1_latent_opt: 8.0195e-01 fft_latent_opt: 6.2762e-01 +2025-10-29 20:49:45,102 INFO: [28..][epoch: 3, step: 41,900, lr:(2.000e-04,)] [eta: 12:30:17, time (data): 0.510 (0.000)] l1_latent_opt: 8.0180e-01 fft_latent_opt: 6.2938e-01 +2025-10-29 20:50:36,161 INFO: [28..][epoch: 3, step: 42,000, lr:(2.000e-04,)] [eta: 12:29:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.0494e-01 fft_latent_opt: 6.2716e-01 +2025-10-29 20:51:27,130 INFO: [28..][epoch: 3, step: 42,100, lr:(2.000e-04,)] [eta: 12:28:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.0357e-01 fft_latent_opt: 6.3207e-01 +2025-10-29 20:52:18,105 INFO: [28..][epoch: 3, step: 42,200, lr:(2.000e-04,)] [eta: 12:27:15, time (data): 0.510 (0.000)] l1_latent_opt: 8.0474e-01 fft_latent_opt: 6.3332e-01 +2025-10-29 20:53:09,162 INFO: [28..][epoch: 3, step: 42,300, lr:(2.000e-04,)] [eta: 12:26:15, time (data): 0.511 (0.000)] l1_latent_opt: 7.9833e-01 fft_latent_opt: 6.2629e-01 +2025-10-29 20:54:00,186 INFO: [28..][epoch: 3, step: 42,400, lr:(2.000e-04,)] [eta: 12:25:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9674e-01 fft_latent_opt: 6.2738e-01 +2025-10-29 20:54:51,176 INFO: [28..][epoch: 3, step: 42,500, lr:(2.000e-04,)] [eta: 12:24:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9416e-01 fft_latent_opt: 6.3066e-01 +2025-10-29 20:55:42,158 INFO: [28..][epoch: 3, step: 42,600, lr:(2.000e-04,)] [eta: 12:23:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.8777e-01 fft_latent_opt: 6.2588e-01 +2025-10-29 20:56:33,134 INFO: [28..][epoch: 3, step: 42,700, lr:(2.000e-04,)] [eta: 12:22:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9578e-01 fft_latent_opt: 6.2501e-01 +2025-10-29 20:57:24,110 INFO: [28..][epoch: 3, step: 42,800, lr:(2.000e-04,)] [eta: 12:21:14, time (data): 0.510 (0.000)] l1_latent_opt: 8.0001e-01 fft_latent_opt: 6.2807e-01 +2025-10-29 20:58:15,069 INFO: [28..][epoch: 3, step: 42,900, lr:(2.000e-04,)] [eta: 12:20:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9361e-01 fft_latent_opt: 6.2322e-01 +2025-10-29 20:59:06,065 INFO: [28..][epoch: 3, step: 43,000, lr:(2.000e-04,)] [eta: 12:19:14, time (data): 0.510 (0.000)] l1_latent_opt: 8.0188e-01 fft_latent_opt: 6.2926e-01 +2025-10-29 20:59:57,033 INFO: [28..][epoch: 3, step: 43,100, lr:(2.000e-04,)] [eta: 12:18:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9573e-01 fft_latent_opt: 6.2987e-01 +2025-10-29 21:00:47,999 INFO: [28..][epoch: 3, step: 43,200, lr:(2.000e-04,)] [eta: 12:17:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9449e-01 fft_latent_opt: 6.2542e-01 +2025-10-29 21:01:38,966 INFO: [28..][epoch: 3, step: 43,300, lr:(2.000e-04,)] [eta: 12:16:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9990e-01 fft_latent_opt: 6.2693e-01 +2025-10-29 21:02:29,926 INFO: [28..][epoch: 3, step: 43,400, lr:(2.000e-04,)] [eta: 12:15:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9991e-01 fft_latent_opt: 6.2108e-01 +2025-10-29 21:03:20,883 INFO: [28..][epoch: 3, step: 43,500, lr:(2.000e-04,)] [eta: 12:14:14, time (data): 0.510 (0.000)] l1_latent_opt: 8.1308e-01 fft_latent_opt: 6.3948e-01 +2025-10-29 21:04:11,841 INFO: [28..][epoch: 3, step: 43,600, lr:(2.000e-04,)] [eta: 12:13:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9094e-01 fft_latent_opt: 6.2243e-01 +2025-10-29 21:05:02,803 INFO: [28..][epoch: 3, step: 43,700, lr:(2.000e-04,)] [eta: 12:12:15, time (data): 0.510 (0.000)] l1_latent_opt: 8.0000e-01 fft_latent_opt: 6.2218e-01 +2025-10-29 21:05:53,760 INFO: [28..][epoch: 3, step: 43,800, lr:(2.000e-04,)] [eta: 12:11:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9992e-01 fft_latent_opt: 6.2736e-01 +2025-10-29 21:06:44,734 INFO: [28..][epoch: 3, step: 43,900, lr:(2.000e-04,)] [eta: 12:10:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9885e-01 fft_latent_opt: 6.2739e-01 +2025-10-29 21:07:35,694 INFO: [28..][epoch: 3, step: 44,000, lr:(2.000e-04,)] [eta: 12:09:16, time (data): 0.510 (0.000)] l1_latent_opt: 8.0281e-01 fft_latent_opt: 6.3219e-01 +2025-10-29 21:08:26,660 INFO: [28..][epoch: 3, step: 44,100, lr:(2.000e-04,)] [eta: 12:08:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.9674e-01 fft_latent_opt: 6.2644e-01 +2025-10-29 21:09:17,654 INFO: [28..][epoch: 3, step: 44,200, lr:(2.000e-04,)] [eta: 12:07:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.9758e-01 fft_latent_opt: 6.2742e-01 +2025-10-29 21:10:08,796 INFO: [28..][epoch: 3, step: 44,300, lr:(2.000e-04,)] [eta: 12:06:17, time (data): 0.512 (0.000)] l1_latent_opt: 7.9092e-01 fft_latent_opt: 6.2644e-01 +2025-10-29 21:10:59,825 INFO: [28..][epoch: 3, step: 44,400, lr:(2.000e-04,)] [eta: 12:05:18, time (data): 0.511 (0.000)] l1_latent_opt: 7.8679e-01 fft_latent_opt: 6.2085e-01 +2025-10-29 21:11:50,889 INFO: [28..][epoch: 3, step: 44,500, lr:(2.000e-04,)] [eta: 12:04:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.9813e-01 fft_latent_opt: 6.3109e-01 +2025-10-29 21:12:41,887 INFO: [28..][epoch: 3, step: 44,600, lr:(2.000e-04,)] [eta: 12:03:19, time (data): 0.510 (0.000)] l1_latent_opt: 8.0301e-01 fft_latent_opt: 6.2982e-01 +2025-10-29 21:13:32,925 INFO: [28..][epoch: 3, step: 44,700, lr:(2.000e-04,)] [eta: 12:02:20, time (data): 0.510 (0.000)] l1_latent_opt: 8.1353e-01 fft_latent_opt: 6.3042e-01 +2025-10-29 21:14:24,065 INFO: [28..][epoch: 3, step: 44,800, lr:(2.000e-04,)] [eta: 12:01:21, time (data): 0.511 (0.000)] l1_latent_opt: 7.9538e-01 fft_latent_opt: 6.2963e-01 +2025-10-29 21:15:15,583 INFO: [28..][epoch: 3, step: 44,900, lr:(2.000e-04,)] [eta: 12:00:22, time (data): 0.515 (0.000)] l1_latent_opt: 7.9324e-01 fft_latent_opt: 6.3091e-01 +2025-10-29 21:16:06,584 INFO: [28..][epoch: 3, step: 45,000, lr:(2.000e-04,)] [eta: 11:59:23, time (data): 0.512 (0.000)] l1_latent_opt: 7.9258e-01 fft_latent_opt: 6.2465e-01 +2025-10-29 21:16:06,585 INFO: Saving models and training states. +2025-10-29 21:18:55,263 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8747 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2506 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4064 Best: 26.4064 @ 45000 iter + +2025-10-29 21:19:46,561 INFO: [28..][epoch: 3, step: 45,100, lr:(2.000e-04,)] [eta: 12:03:23, time (data): 0.514 (0.000)] l1_latent_opt: 8.0359e-01 fft_latent_opt: 6.3390e-01 +2025-10-29 21:20:37,689 INFO: [28..][epoch: 3, step: 45,200, lr:(2.000e-04,)] [eta: 12:02:23, time (data): 0.513 (0.000)] l1_latent_opt: 7.8780e-01 fft_latent_opt: 6.2049e-01 +2025-10-29 21:21:28,990 INFO: [28..][epoch: 3, step: 45,300, lr:(2.000e-04,)] [eta: 12:01:24, time (data): 0.514 (0.000)] l1_latent_opt: 7.9393e-01 fft_latent_opt: 6.2309e-01 +2025-10-29 21:22:20,192 INFO: [28..][epoch: 3, step: 45,400, lr:(2.000e-04,)] [eta: 12:00:24, time (data): 0.513 (0.000)] l1_latent_opt: 7.9269e-01 fft_latent_opt: 6.2844e-01 +2025-10-29 21:23:11,523 INFO: [28..][epoch: 3, step: 45,500, lr:(2.000e-04,)] [eta: 11:59:25, time (data): 0.514 (0.000)] l1_latent_opt: 8.0261e-01 fft_latent_opt: 6.2554e-01 +2025-10-29 21:24:02,737 INFO: [28..][epoch: 3, step: 45,600, lr:(2.000e-04,)] [eta: 11:58:25, time (data): 0.513 (0.000)] l1_latent_opt: 8.0409e-01 fft_latent_opt: 6.2731e-01 +2025-10-29 21:24:54,096 INFO: [28..][epoch: 3, step: 45,700, lr:(2.000e-04,)] [eta: 11:57:26, time (data): 0.513 (0.000)] l1_latent_opt: 7.9924e-01 fft_latent_opt: 6.2791e-01 +2025-10-29 21:25:45,074 INFO: [28..][epoch: 3, step: 45,800, lr:(2.000e-04,)] [eta: 11:56:26, time (data): 0.511 (0.000)] l1_latent_opt: 8.0080e-01 fft_latent_opt: 6.2428e-01 +2025-10-29 21:26:35,973 INFO: [28..][epoch: 3, step: 45,900, lr:(2.000e-04,)] [eta: 11:55:25, time (data): 0.509 (0.000)] l1_latent_opt: 7.9648e-01 fft_latent_opt: 6.2591e-01 +2025-10-29 21:27:27,090 INFO: [28..][epoch: 3, step: 46,000, lr:(2.000e-04,)] [eta: 11:54:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.9432e-01 fft_latent_opt: 6.2424e-01 +2025-10-29 21:28:18,007 INFO: [28..][epoch: 3, step: 46,100, lr:(2.000e-04,)] [eta: 11:53:26, time (data): 0.509 (0.000)] l1_latent_opt: 7.9735e-01 fft_latent_opt: 6.2395e-01 +2025-10-29 21:29:08,930 INFO: [28..][epoch: 3, step: 46,200, lr:(2.000e-04,)] [eta: 11:52:26, time (data): 0.509 (0.000)] l1_latent_opt: 8.0490e-01 fft_latent_opt: 6.2175e-01 +2025-10-29 21:29:59,829 INFO: [28..][epoch: 3, step: 46,300, lr:(2.000e-04,)] [eta: 11:51:26, time (data): 0.509 (0.000)] l1_latent_opt: 7.9900e-01 fft_latent_opt: 6.2982e-01 +2025-10-29 21:30:50,725 INFO: [28..][epoch: 3, step: 46,400, lr:(2.000e-04,)] [eta: 11:50:26, time (data): 0.509 (0.000)] l1_latent_opt: 7.8901e-01 fft_latent_opt: 6.2227e-01 +2025-10-29 21:31:41,661 INFO: [28..][epoch: 3, step: 46,500, lr:(2.000e-04,)] [eta: 11:49:26, time (data): 0.509 (0.000)] l1_latent_opt: 8.0226e-01 fft_latent_opt: 6.2952e-01 +2025-10-29 21:32:33,034 INFO: [28..][epoch: 3, step: 46,600, lr:(2.000e-04,)] [eta: 11:48:27, time (data): 0.512 (0.000)] l1_latent_opt: 7.9592e-01 fft_latent_opt: 6.2752e-01 +2025-10-29 21:33:24,013 INFO: [28..][epoch: 3, step: 46,700, lr:(2.000e-04,)] [eta: 11:47:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.9766e-01 fft_latent_opt: 6.2586e-01 +2025-10-29 21:34:15,010 INFO: [28..][epoch: 3, step: 46,800, lr:(2.000e-04,)] [eta: 11:46:28, time (data): 0.510 (0.000)] l1_latent_opt: 7.8944e-01 fft_latent_opt: 6.2274e-01 +2025-10-29 21:35:05,929 INFO: [28..][epoch: 3, step: 46,900, lr:(2.000e-04,)] [eta: 11:45:28, time (data): 0.509 (0.000)] l1_latent_opt: 7.9290e-01 fft_latent_opt: 6.2359e-01 +2025-10-29 21:35:56,854 INFO: [28..][epoch: 3, step: 47,000, lr:(2.000e-04,)] [eta: 11:44:29, time (data): 0.509 (0.000)] l1_latent_opt: 7.9324e-01 fft_latent_opt: 6.2398e-01 +2025-10-29 21:36:47,767 INFO: [28..][epoch: 3, step: 47,100, lr:(2.000e-04,)] [eta: 11:43:29, time (data): 0.509 (0.000)] l1_latent_opt: 8.0963e-01 fft_latent_opt: 6.2888e-01 +2025-10-29 21:37:38,692 INFO: [28..][epoch: 3, step: 47,200, lr:(2.000e-04,)] [eta: 11:42:29, time (data): 0.509 (0.000)] l1_latent_opt: 8.0475e-01 fft_latent_opt: 6.3074e-01 +2025-10-29 21:38:29,637 INFO: [28..][epoch: 3, step: 47,300, lr:(2.000e-04,)] [eta: 11:41:30, time (data): 0.509 (0.000)] l1_latent_opt: 7.8648e-01 fft_latent_opt: 6.1969e-01 +2025-10-29 21:39:20,658 INFO: [28..][epoch: 3, step: 47,400, lr:(2.000e-04,)] [eta: 11:40:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.9965e-01 fft_latent_opt: 6.2909e-01 +2025-10-29 21:40:11,767 INFO: [28..][epoch: 3, step: 47,500, lr:(2.000e-04,)] [eta: 11:39:31, time (data): 0.512 (0.000)] l1_latent_opt: 8.0763e-01 fft_latent_opt: 6.3282e-01 +2025-10-29 21:41:02,683 INFO: [28..][epoch: 3, step: 47,600, lr:(2.000e-04,)] [eta: 11:38:32, time (data): 0.510 (0.000)] l1_latent_opt: 8.0333e-01 fft_latent_opt: 6.2234e-01 +2025-10-29 21:41:53,734 INFO: [28..][epoch: 3, step: 47,700, lr:(2.000e-04,)] [eta: 11:37:33, time (data): 0.511 (0.000)] l1_latent_opt: 8.0155e-01 fft_latent_opt: 6.2702e-01 +2025-10-29 21:42:44,633 INFO: [28..][epoch: 3, step: 47,800, lr:(2.000e-04,)] [eta: 11:36:33, time (data): 0.510 (0.000)] l1_latent_opt: 8.0164e-01 fft_latent_opt: 6.2873e-01 +2025-10-29 21:43:35,537 INFO: [28..][epoch: 3, step: 47,900, lr:(2.000e-04,)] [eta: 11:35:34, time (data): 0.509 (0.000)] l1_latent_opt: 7.9105e-01 fft_latent_opt: 6.2509e-01 +2025-10-29 21:44:26,451 INFO: [28..][epoch: 3, step: 48,000, lr:(2.000e-04,)] [eta: 11:34:35, time (data): 0.509 (0.000)] l1_latent_opt: 7.9814e-01 fft_latent_opt: 6.2890e-01 +2025-10-29 21:45:17,435 INFO: [28..][epoch: 3, step: 48,100, lr:(2.000e-04,)] [eta: 11:33:36, time (data): 0.509 (0.000)] l1_latent_opt: 8.0026e-01 fft_latent_opt: 6.3310e-01 +2025-10-29 21:46:08,366 INFO: [28..][epoch: 3, step: 48,200, lr:(2.000e-04,)] [eta: 11:32:36, time (data): 0.509 (0.000)] l1_latent_opt: 7.8777e-01 fft_latent_opt: 6.1992e-01 +2025-10-29 21:46:59,308 INFO: [28..][epoch: 3, step: 48,300, lr:(2.000e-04,)] [eta: 11:31:37, time (data): 0.509 (0.000)] l1_latent_opt: 7.9438e-01 fft_latent_opt: 6.2281e-01 +2025-10-29 21:47:50,398 INFO: [28..][epoch: 3, step: 48,400, lr:(2.000e-04,)] [eta: 11:30:38, time (data): 0.510 (0.000)] l1_latent_opt: 7.9897e-01 fft_latent_opt: 6.2751e-01 +2025-10-29 21:48:41,387 INFO: [28..][epoch: 3, step: 48,500, lr:(2.000e-04,)] [eta: 11:29:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.9025e-01 fft_latent_opt: 6.2224e-01 +2025-10-29 21:49:32,488 INFO: [28..][epoch: 3, step: 48,600, lr:(2.000e-04,)] [eta: 11:28:41, time (data): 0.511 (0.000)] l1_latent_opt: 7.9911e-01 fft_latent_opt: 6.2485e-01 +2025-10-29 21:50:23,666 INFO: [28..][epoch: 3, step: 48,700, lr:(2.000e-04,)] [eta: 11:27:42, time (data): 0.512 (0.000)] l1_latent_opt: 7.9338e-01 fft_latent_opt: 6.2752e-01 +2025-10-29 21:51:14,889 INFO: [28..][epoch: 3, step: 48,800, lr:(2.000e-04,)] [eta: 11:26:43, time (data): 0.512 (0.000)] l1_latent_opt: 7.9158e-01 fft_latent_opt: 6.2763e-01 +2025-10-29 21:52:06,070 INFO: [28..][epoch: 3, step: 48,900, lr:(2.000e-04,)] [eta: 11:25:45, time (data): 0.511 (0.000)] l1_latent_opt: 7.9463e-01 fft_latent_opt: 6.2352e-01 +2025-10-29 21:52:57,015 INFO: [28..][epoch: 3, step: 49,000, lr:(2.000e-04,)] [eta: 11:24:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.9652e-01 fft_latent_opt: 6.2811e-01 +2025-10-29 21:53:47,949 INFO: [28..][epoch: 3, step: 49,100, lr:(2.000e-04,)] [eta: 11:23:47, time (data): 0.509 (0.000)] l1_latent_opt: 7.9961e-01 fft_latent_opt: 6.2783e-01 +2025-10-29 21:54:39,205 INFO: [28..][epoch: 3, step: 49,200, lr:(2.000e-04,)] [eta: 11:22:49, time (data): 0.511 (0.000)] l1_latent_opt: 7.9764e-01 fft_latent_opt: 6.2698e-01 +2025-10-29 21:55:30,122 INFO: [28..][epoch: 3, step: 49,300, lr:(2.000e-04,)] [eta: 11:21:50, time (data): 0.509 (0.000)] l1_latent_opt: 8.0066e-01 fft_latent_opt: 6.2802e-01 +2025-10-29 21:56:21,041 INFO: [28..][epoch: 3, step: 49,400, lr:(2.000e-04,)] [eta: 11:20:51, time (data): 0.509 (0.000)] l1_latent_opt: 7.9653e-01 fft_latent_opt: 6.2505e-01 +2025-10-29 21:57:11,957 INFO: [28..][epoch: 3, step: 49,500, lr:(2.000e-04,)] [eta: 11:19:52, time (data): 0.509 (0.000)] l1_latent_opt: 7.9655e-01 fft_latent_opt: 6.2903e-01 +2025-10-29 21:58:02,880 INFO: [28..][epoch: 3, step: 49,600, lr:(2.000e-04,)] [eta: 11:18:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.9252e-01 fft_latent_opt: 6.2329e-01 +2025-10-29 21:58:53,819 INFO: [28..][epoch: 3, step: 49,700, lr:(2.000e-04,)] [eta: 11:17:55, time (data): 0.509 (0.000)] l1_latent_opt: 7.9770e-01 fft_latent_opt: 6.2381e-01 +2025-10-29 21:59:44,714 INFO: [28..][epoch: 3, step: 49,800, lr:(2.000e-04,)] [eta: 11:16:56, time (data): 0.509 (0.000)] l1_latent_opt: 7.9653e-01 fft_latent_opt: 6.3436e-01 +2025-10-29 22:00:35,598 INFO: [28..][epoch: 3, step: 49,900, lr:(2.000e-04,)] [eta: 11:15:57, time (data): 0.509 (0.000)] l1_latent_opt: 7.8550e-01 fft_latent_opt: 6.2236e-01 +2025-10-29 22:01:26,508 INFO: [28..][epoch: 3, step: 50,000, lr:(2.000e-04,)] [eta: 11:14:59, time (data): 0.509 (0.000)] l1_latent_opt: 7.9922e-01 fft_latent_opt: 6.3189e-01 +2025-10-29 22:01:26,509 INFO: Saving models and training states. +2025-10-29 22:03:35,914 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8749 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2508 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4193 Best: 26.4193 @ 50000 iter + +2025-10-29 22:04:27,145 INFO: [28..][epoch: 3, step: 50,100, lr:(2.000e-04,)] [eta: 11:17:14, time (data): 0.513 (0.000)] l1_latent_opt: 7.9760e-01 fft_latent_opt: 6.2900e-01 +2025-10-29 22:05:18,208 INFO: [28..][epoch: 3, step: 50,200, lr:(2.000e-04,)] [eta: 11:16:15, time (data): 0.511 (0.000)] l1_latent_opt: 8.0284e-01 fft_latent_opt: 6.3056e-01 +2025-10-29 22:06:09,259 INFO: [28..][epoch: 3, step: 50,300, lr:(2.000e-04,)] [eta: 11:15:16, time (data): 0.511 (0.000)] l1_latent_opt: 7.8242e-01 fft_latent_opt: 6.2151e-01 +2025-10-29 22:07:00,782 INFO: [28..][epoch: 3, step: 50,400, lr:(2.000e-04,)] [eta: 11:14:18, time (data): 0.514 (0.000)] l1_latent_opt: 7.9939e-01 fft_latent_opt: 6.3098e-01 +2025-10-29 22:07:52,168 INFO: [28..][epoch: 3, step: 50,500, lr:(2.000e-04,)] [eta: 11:13:19, time (data): 0.511 (0.000)] l1_latent_opt: 7.9511e-01 fft_latent_opt: 6.2825e-01 +2025-10-29 22:08:43,414 INFO: [28..][epoch: 3, step: 50,600, lr:(2.000e-04,)] [eta: 11:12:21, time (data): 0.512 (0.001)] l1_latent_opt: 8.0545e-01 fft_latent_opt: 6.4105e-01 +2025-10-29 22:09:36,735 INFO: [28..][epoch: 4, step: 50,700, lr:(2.000e-04,)] [eta: 11:11:25, time (data): 0.512 (0.000)] l1_latent_opt: 7.9739e-01 fft_latent_opt: 6.3010e-01 +2025-10-29 22:10:27,673 INFO: [28..][epoch: 4, step: 50,800, lr:(2.000e-04,)] [eta: 11:10:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.9095e-01 fft_latent_opt: 6.2686e-01 +2025-10-29 22:11:18,679 INFO: [28..][epoch: 4, step: 50,900, lr:(2.000e-04,)] [eta: 11:09:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.8625e-01 fft_latent_opt: 6.2078e-01 +2025-10-29 22:12:09,640 INFO: [28..][epoch: 4, step: 51,000, lr:(2.000e-04,)] [eta: 11:08:28, time (data): 0.510 (0.000)] l1_latent_opt: 7.9024e-01 fft_latent_opt: 6.2540e-01 +2025-10-29 22:13:00,648 INFO: [28..][epoch: 4, step: 51,100, lr:(2.000e-04,)] [eta: 11:07:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.9056e-01 fft_latent_opt: 6.1887e-01 +2025-10-29 22:13:51,950 INFO: [28..][epoch: 4, step: 51,200, lr:(2.000e-04,)] [eta: 11:06:31, time (data): 0.512 (0.000)] l1_latent_opt: 7.9502e-01 fft_latent_opt: 6.2438e-01 +2025-10-29 22:14:42,892 INFO: [28..][epoch: 4, step: 51,300, lr:(2.000e-04,)] [eta: 11:05:32, time (data): 0.509 (0.000)] l1_latent_opt: 7.8404e-01 fft_latent_opt: 6.1835e-01 +2025-10-29 22:15:34,439 INFO: [28..][epoch: 4, step: 51,400, lr:(2.000e-04,)] [eta: 11:04:34, time (data): 0.514 (0.000)] l1_latent_opt: 7.9919e-01 fft_latent_opt: 6.2563e-01 +2025-10-29 22:16:25,713 INFO: [28..][epoch: 4, step: 51,500, lr:(2.000e-04,)] [eta: 11:03:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.9418e-01 fft_latent_opt: 6.2192e-01 +2025-10-29 22:17:16,710 INFO: [28..][epoch: 4, step: 51,600, lr:(2.000e-04,)] [eta: 11:02:37, time (data): 0.510 (0.000)] l1_latent_opt: 7.9539e-01 fft_latent_opt: 6.2340e-01 +2025-10-29 22:18:07,700 INFO: [28..][epoch: 4, step: 51,700, lr:(2.000e-04,)] [eta: 11:01:39, time (data): 0.509 (0.000)] l1_latent_opt: 7.9342e-01 fft_latent_opt: 6.2552e-01 +2025-10-29 22:18:58,671 INFO: [28..][epoch: 4, step: 51,800, lr:(2.000e-04,)] [eta: 11:00:40, time (data): 0.510 (0.000)] l1_latent_opt: 8.0246e-01 fft_latent_opt: 6.2405e-01 +2025-10-29 22:19:49,657 INFO: [28..][epoch: 4, step: 51,900, lr:(2.000e-04,)] [eta: 10:59:41, time (data): 0.509 (0.000)] l1_latent_opt: 8.0303e-01 fft_latent_opt: 6.3064e-01 +2025-10-29 22:20:40,569 INFO: [28..][epoch: 4, step: 52,000, lr:(2.000e-04,)] [eta: 10:58:43, time (data): 0.509 (0.000)] l1_latent_opt: 7.8938e-01 fft_latent_opt: 6.1876e-01 +2025-10-29 22:21:31,530 INFO: [28..][epoch: 4, step: 52,100, lr:(2.000e-04,)] [eta: 10:57:44, time (data): 0.510 (0.000)] l1_latent_opt: 8.0413e-01 fft_latent_opt: 6.2993e-01 +2025-10-29 22:22:22,457 INFO: [28..][epoch: 4, step: 52,200, lr:(2.000e-04,)] [eta: 10:56:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.9479e-01 fft_latent_opt: 6.2180e-01 +2025-10-29 22:23:13,366 INFO: [28..][epoch: 4, step: 52,300, lr:(2.000e-04,)] [eta: 10:55:47, time (data): 0.509 (0.000)] l1_latent_opt: 8.1072e-01 fft_latent_opt: 6.3081e-01 +2025-10-29 22:24:04,302 INFO: [28..][epoch: 4, step: 52,400, lr:(2.000e-04,)] [eta: 10:54:48, time (data): 0.509 (0.000)] l1_latent_opt: 7.9570e-01 fft_latent_opt: 6.2486e-01 +2025-10-29 22:24:55,250 INFO: [28..][epoch: 4, step: 52,500, lr:(2.000e-04,)] [eta: 10:53:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.9816e-01 fft_latent_opt: 6.2808e-01 +2025-10-29 22:25:46,173 INFO: [28..][epoch: 4, step: 52,600, lr:(2.000e-04,)] [eta: 10:52:51, time (data): 0.509 (0.000)] l1_latent_opt: 7.9311e-01 fft_latent_opt: 6.2182e-01 +2025-10-29 22:26:37,095 INFO: [28..][epoch: 4, step: 52,700, lr:(2.000e-04,)] [eta: 10:51:53, time (data): 0.509 (0.000)] l1_latent_opt: 7.9807e-01 fft_latent_opt: 6.3106e-01 +2025-10-29 22:28:08,861 INFO: [28..][epoch: 4, step: 52,800, lr:(2.000e-04,)] [eta: 10:51:50, time (data): 0.805 (0.000)] l1_latent_opt: 7.9529e-01 fft_latent_opt: 6.2527e-01 +2025-10-29 22:28:59,785 INFO: [28..][epoch: 4, step: 52,900, lr:(2.000e-04,)] [eta: 10:50:52, time (data): 0.509 (0.000)] l1_latent_opt: 8.0340e-01 fft_latent_opt: 6.2917e-01 +2025-10-29 22:29:51,251 INFO: [28..][epoch: 4, step: 53,000, lr:(2.000e-04,)] [eta: 10:49:54, time (data): 0.513 (0.000)] l1_latent_opt: 7.8500e-01 fft_latent_opt: 6.2447e-01 +2025-10-29 22:30:42,449 INFO: [28..][epoch: 4, step: 53,100, lr:(2.000e-04,)] [eta: 10:48:56, time (data): 0.512 (0.000)] l1_latent_opt: 7.8811e-01 fft_latent_opt: 6.2047e-01 +2025-10-29 22:31:33,418 INFO: [28..][epoch: 4, step: 53,200, lr:(2.000e-04,)] [eta: 10:47:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.9942e-01 fft_latent_opt: 6.3158e-01 +2025-10-29 22:32:24,625 INFO: [28..][epoch: 4, step: 53,300, lr:(2.000e-04,)] [eta: 10:46:59, time (data): 0.514 (0.000)] l1_latent_opt: 7.9843e-01 fft_latent_opt: 6.2467e-01 +2025-10-29 22:33:15,668 INFO: [28..][epoch: 4, step: 53,400, lr:(2.000e-04,)] [eta: 10:46:01, time (data): 0.511 (0.000)] l1_latent_opt: 8.0000e-01 fft_latent_opt: 6.3081e-01 +2025-10-29 22:34:06,597 INFO: [28..][epoch: 4, step: 53,500, lr:(2.000e-04,)] [eta: 10:45:02, time (data): 0.509 (0.000)] l1_latent_opt: 7.8761e-01 fft_latent_opt: 6.1803e-01 +2025-10-29 22:34:57,523 INFO: [28..][epoch: 4, step: 53,600, lr:(2.000e-04,)] [eta: 10:44:04, time (data): 0.509 (0.000)] l1_latent_opt: 7.9567e-01 fft_latent_opt: 6.2830e-01 +2025-10-29 22:35:48,451 INFO: [28..][epoch: 4, step: 53,700, lr:(2.000e-04,)] [eta: 10:43:06, time (data): 0.509 (0.000)] l1_latent_opt: 7.9381e-01 fft_latent_opt: 6.2351e-01 +2025-10-29 22:36:39,375 INFO: [28..][epoch: 4, step: 53,800, lr:(2.000e-04,)] [eta: 10:42:07, time (data): 0.509 (0.000)] l1_latent_opt: 7.9135e-01 fft_latent_opt: 6.2016e-01 +2025-10-29 22:37:30,534 INFO: [28..][epoch: 4, step: 53,900, lr:(2.000e-04,)] [eta: 10:41:09, time (data): 0.513 (0.000)] l1_latent_opt: 8.0504e-01 fft_latent_opt: 6.2803e-01 +2025-10-29 22:38:21,774 INFO: [28..][epoch: 4, step: 54,000, lr:(2.000e-04,)] [eta: 10:40:11, time (data): 0.513 (0.000)] l1_latent_opt: 7.8665e-01 fft_latent_opt: 6.2267e-01 +2025-10-29 22:39:12,903 INFO: [28..][epoch: 4, step: 54,100, lr:(2.000e-04,)] [eta: 10:39:13, time (data): 0.511 (0.000)] l1_latent_opt: 7.9300e-01 fft_latent_opt: 6.1921e-01 +2025-10-29 22:40:04,039 INFO: [28..][epoch: 4, step: 54,200, lr:(2.000e-04,)] [eta: 10:38:15, time (data): 0.511 (0.000)] l1_latent_opt: 7.9262e-01 fft_latent_opt: 6.2064e-01 +2025-10-29 22:40:55,364 INFO: [28..][epoch: 4, step: 54,300, lr:(2.000e-04,)] [eta: 10:37:18, time (data): 0.513 (0.000)] l1_latent_opt: 7.9586e-01 fft_latent_opt: 6.2338e-01 +2025-10-29 22:41:46,433 INFO: [28..][epoch: 4, step: 54,400, lr:(2.000e-04,)] [eta: 10:36:20, time (data): 0.511 (0.000)] l1_latent_opt: 7.9022e-01 fft_latent_opt: 6.1413e-01 +2025-10-29 22:42:37,535 INFO: [28..][epoch: 4, step: 54,500, lr:(2.000e-04,)] [eta: 10:35:22, time (data): 0.511 (0.000)] l1_latent_opt: 7.9818e-01 fft_latent_opt: 6.2388e-01 +2025-10-29 22:43:28,762 INFO: [28..][epoch: 4, step: 54,600, lr:(2.000e-04,)] [eta: 10:34:24, time (data): 0.512 (0.000)] l1_latent_opt: 8.0114e-01 fft_latent_opt: 6.1902e-01 +2025-10-29 22:44:19,763 INFO: [28..][epoch: 4, step: 54,700, lr:(2.000e-04,)] [eta: 10:33:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8930e-01 fft_latent_opt: 6.2678e-01 +2025-10-29 22:45:10,797 INFO: [28..][epoch: 4, step: 54,800, lr:(2.000e-04,)] [eta: 10:32:28, time (data): 0.510 (0.000)] l1_latent_opt: 7.9057e-01 fft_latent_opt: 6.2051e-01 +2025-10-29 22:46:01,734 INFO: [28..][epoch: 4, step: 54,900, lr:(2.000e-04,)] [eta: 10:31:30, time (data): 0.509 (0.000)] l1_latent_opt: 7.9182e-01 fft_latent_opt: 6.2081e-01 +2025-10-29 22:46:52,667 INFO: [28..][epoch: 4, step: 55,000, lr:(2.000e-04,)] [eta: 10:30:32, time (data): 0.509 (0.000)] l1_latent_opt: 7.9091e-01 fft_latent_opt: 6.2212e-01 +2025-10-29 22:46:52,668 INFO: Saving models and training states. +2025-10-29 22:49:00,447 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8782 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2596 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4135 Best: 26.4193 @ 50000 iter + +2025-10-29 22:49:51,529 INFO: [28..][epoch: 4, step: 55,100, lr:(2.000e-04,)] [eta: 10:32:16, time (data): 0.511 (0.000)] l1_latent_opt: 7.9047e-01 fft_latent_opt: 6.2473e-01 +2025-10-29 22:50:42,570 INFO: [28..][epoch: 4, step: 55,200, lr:(2.000e-04,)] [eta: 10:31:18, time (data): 0.511 (0.000)] l1_latent_opt: 7.9200e-01 fft_latent_opt: 6.2045e-01 +2025-10-29 22:51:33,682 INFO: [28..][epoch: 4, step: 55,300, lr:(2.000e-04,)] [eta: 10:30:20, time (data): 0.511 (0.000)] l1_latent_opt: 7.8674e-01 fft_latent_opt: 6.1938e-01 +2025-10-29 22:52:24,619 INFO: [28..][epoch: 4, step: 55,400, lr:(2.000e-04,)] [eta: 10:29:21, time (data): 0.510 (0.000)] l1_latent_opt: 8.0256e-01 fft_latent_opt: 6.3191e-01 +2025-10-29 22:53:15,528 INFO: [28..][epoch: 4, step: 55,500, lr:(2.000e-04,)] [eta: 10:28:23, time (data): 0.509 (0.000)] l1_latent_opt: 7.9968e-01 fft_latent_opt: 6.2456e-01 +2025-10-29 22:54:06,436 INFO: [28..][epoch: 4, step: 55,600, lr:(2.000e-04,)] [eta: 10:27:24, time (data): 0.509 (0.000)] l1_latent_opt: 8.0002e-01 fft_latent_opt: 6.2997e-01 +2025-10-29 22:54:57,352 INFO: [28..][epoch: 4, step: 55,700, lr:(2.000e-04,)] [eta: 10:26:26, time (data): 0.509 (0.000)] l1_latent_opt: 8.0197e-01 fft_latent_opt: 6.3986e-01 +2025-10-29 22:55:48,287 INFO: [28..][epoch: 4, step: 55,800, lr:(2.000e-04,)] [eta: 10:25:28, time (data): 0.509 (0.000)] l1_latent_opt: 7.9045e-01 fft_latent_opt: 6.1813e-01 +2025-10-29 22:56:39,266 INFO: [28..][epoch: 4, step: 55,900, lr:(2.000e-04,)] [eta: 10:24:29, time (data): 0.510 (0.000)] l1_latent_opt: 8.0096e-01 fft_latent_opt: 6.2886e-01 +2025-10-29 22:57:30,216 INFO: [28..][epoch: 4, step: 56,000, lr:(2.000e-04,)] [eta: 10:23:31, time (data): 0.509 (0.000)] l1_latent_opt: 7.9129e-01 fft_latent_opt: 6.1770e-01 +2025-10-29 22:58:21,159 INFO: [28..][epoch: 4, step: 56,100, lr:(2.000e-04,)] [eta: 10:22:33, time (data): 0.509 (0.000)] l1_latent_opt: 7.9814e-01 fft_latent_opt: 6.2314e-01 +2025-10-29 22:59:12,104 INFO: [28..][epoch: 4, step: 56,200, lr:(2.000e-04,)] [eta: 10:21:35, time (data): 0.509 (0.000)] l1_latent_opt: 7.9788e-01 fft_latent_opt: 6.3290e-01 +2025-10-29 23:00:03,042 INFO: [28..][epoch: 4, step: 56,300, lr:(2.000e-04,)] [eta: 10:20:37, time (data): 0.509 (0.000)] l1_latent_opt: 7.9527e-01 fft_latent_opt: 6.2378e-01 +2025-10-29 23:00:53,972 INFO: [28..][epoch: 4, step: 56,400, lr:(2.000e-04,)] [eta: 10:19:38, time (data): 0.509 (0.000)] l1_latent_opt: 8.0726e-01 fft_latent_opt: 6.2606e-01 +2025-10-29 23:01:44,903 INFO: [28..][epoch: 4, step: 56,500, lr:(2.000e-04,)] [eta: 10:18:40, time (data): 0.509 (0.000)] l1_latent_opt: 7.9772e-01 fft_latent_opt: 6.2753e-01 +2025-10-29 23:02:35,839 INFO: [28..][epoch: 4, step: 56,600, lr:(2.000e-04,)] [eta: 10:17:42, time (data): 0.509 (0.000)] l1_latent_opt: 7.9267e-01 fft_latent_opt: 6.2413e-01 +2025-10-29 23:03:26,795 INFO: [28..][epoch: 4, step: 56,700, lr:(2.000e-04,)] [eta: 10:16:44, time (data): 0.509 (0.000)] l1_latent_opt: 7.9485e-01 fft_latent_opt: 6.2194e-01 +2025-10-29 23:04:17,853 INFO: [28..][epoch: 4, step: 56,800, lr:(2.000e-04,)] [eta: 10:15:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.9976e-01 fft_latent_opt: 6.3032e-01 +2025-10-29 23:05:08,772 INFO: [28..][epoch: 4, step: 56,900, lr:(2.000e-04,)] [eta: 10:14:48, time (data): 0.509 (0.000)] l1_latent_opt: 7.9800e-01 fft_latent_opt: 6.2700e-01 +2025-10-29 23:05:59,696 INFO: [28..][epoch: 4, step: 57,000, lr:(2.000e-04,)] [eta: 10:13:50, time (data): 0.509 (0.000)] l1_latent_opt: 7.9235e-01 fft_latent_opt: 6.1967e-01 +2025-10-29 23:06:50,626 INFO: [28..][epoch: 4, step: 57,100, lr:(2.000e-04,)] [eta: 10:12:52, time (data): 0.509 (0.000)] l1_latent_opt: 8.0330e-01 fft_latent_opt: 6.3266e-01 +2025-10-29 23:07:41,552 INFO: [28..][epoch: 4, step: 57,200, lr:(2.000e-04,)] [eta: 10:11:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.9357e-01 fft_latent_opt: 6.2542e-01 +2025-10-29 23:08:32,476 INFO: [28..][epoch: 4, step: 57,300, lr:(2.000e-04,)] [eta: 10:10:56, time (data): 0.509 (0.000)] l1_latent_opt: 7.9056e-01 fft_latent_opt: 6.2156e-01 +2025-10-29 23:09:23,445 INFO: [28..][epoch: 4, step: 57,400, lr:(2.000e-04,)] [eta: 10:09:58, time (data): 0.510 (0.000)] l1_latent_opt: 7.9981e-01 fft_latent_opt: 6.2408e-01 +2025-10-29 23:10:14,654 INFO: [28..][epoch: 4, step: 57,500, lr:(2.000e-04,)] [eta: 10:09:00, time (data): 0.509 (0.000)] l1_latent_opt: 8.0624e-01 fft_latent_opt: 6.2641e-01 +2025-10-29 23:11:05,593 INFO: [28..][epoch: 4, step: 57,600, lr:(2.000e-04,)] [eta: 10:08:03, time (data): 0.509 (0.000)] l1_latent_opt: 8.0620e-01 fft_latent_opt: 6.3253e-01 +2025-10-29 23:11:56,548 INFO: [28..][epoch: 4, step: 57,700, lr:(2.000e-04,)] [eta: 10:07:05, time (data): 0.509 (0.000)] l1_latent_opt: 8.0031e-01 fft_latent_opt: 6.2559e-01 +2025-10-29 23:12:47,519 INFO: [28..][epoch: 4, step: 57,800, lr:(2.000e-04,)] [eta: 10:06:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.9528e-01 fft_latent_opt: 6.2930e-01 +2025-10-29 23:13:38,548 INFO: [28..][epoch: 4, step: 57,900, lr:(2.000e-04,)] [eta: 10:05:09, time (data): 0.510 (0.000)] l1_latent_opt: 7.9968e-01 fft_latent_opt: 6.2648e-01 +2025-10-29 23:14:29,602 INFO: [28..][epoch: 4, step: 58,000, lr:(2.000e-04,)] [eta: 10:04:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.9080e-01 fft_latent_opt: 6.2246e-01 +2025-10-29 23:15:20,757 INFO: [28..][epoch: 4, step: 58,100, lr:(2.000e-04,)] [eta: 10:03:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.9995e-01 fft_latent_opt: 6.2870e-01 +2025-10-29 23:16:11,757 INFO: [28..][epoch: 4, step: 58,200, lr:(2.000e-04,)] [eta: 10:02:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.9952e-01 fft_latent_opt: 6.2433e-01 +2025-10-29 23:17:02,750 INFO: [28..][epoch: 4, step: 58,300, lr:(2.000e-04,)] [eta: 10:01:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.9031e-01 fft_latent_opt: 6.2140e-01 +2025-10-29 23:17:53,731 INFO: [28..][epoch: 4, step: 58,400, lr:(2.000e-04,)] [eta: 10:00:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.9497e-01 fft_latent_opt: 6.2821e-01 +2025-10-29 23:18:44,715 INFO: [28..][epoch: 4, step: 58,500, lr:(2.000e-04,)] [eta: 9:59:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.9623e-01 fft_latent_opt: 6.2831e-01 +2025-10-29 23:19:35,690 INFO: [28..][epoch: 4, step: 58,600, lr:(2.000e-04,)] [eta: 9:58:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8967e-01 fft_latent_opt: 6.2529e-01 +2025-10-29 23:20:26,663 INFO: [28..][epoch: 4, step: 58,700, lr:(2.000e-04,)] [eta: 9:57:28, time (data): 0.510 (0.000)] l1_latent_opt: 7.9442e-01 fft_latent_opt: 6.2239e-01 +2025-10-29 23:21:17,621 INFO: [28..][epoch: 4, step: 58,800, lr:(2.000e-04,)] [eta: 9:56:31, time (data): 0.510 (0.000)] l1_latent_opt: 8.0139e-01 fft_latent_opt: 6.2983e-01 +2025-10-29 23:22:08,587 INFO: [28..][epoch: 4, step: 58,900, lr:(2.000e-04,)] [eta: 9:55:33, time (data): 0.510 (0.000)] l1_latent_opt: 8.0125e-01 fft_latent_opt: 6.2865e-01 +2025-10-29 23:22:59,561 INFO: [28..][epoch: 4, step: 59,000, lr:(2.000e-04,)] [eta: 9:54:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.9335e-01 fft_latent_opt: 6.2404e-01 +2025-10-29 23:23:50,538 INFO: [28..][epoch: 4, step: 59,100, lr:(2.000e-04,)] [eta: 9:53:38, time (data): 0.509 (0.000)] l1_latent_opt: 7.9099e-01 fft_latent_opt: 6.2439e-01 +2025-10-29 23:24:41,507 INFO: [28..][epoch: 4, step: 59,200, lr:(2.000e-04,)] [eta: 9:52:41, time (data): 0.510 (0.000)] l1_latent_opt: 8.0350e-01 fft_latent_opt: 6.2564e-01 +2025-10-29 23:25:32,510 INFO: [28..][epoch: 4, step: 59,300, lr:(2.000e-04,)] [eta: 9:51:43, time (data): 0.510 (0.000)] l1_latent_opt: 7.9852e-01 fft_latent_opt: 6.2823e-01 +2025-10-29 23:26:23,504 INFO: [28..][epoch: 4, step: 59,400, lr:(2.000e-04,)] [eta: 9:50:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.9548e-01 fft_latent_opt: 6.3018e-01 +2025-10-29 23:27:14,598 INFO: [28..][epoch: 4, step: 59,500, lr:(2.000e-04,)] [eta: 9:49:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.9914e-01 fft_latent_opt: 6.2763e-01 +2025-10-29 23:28:06,131 INFO: [28..][epoch: 4, step: 59,600, lr:(2.000e-04,)] [eta: 9:48:52, time (data): 0.515 (0.000)] l1_latent_opt: 7.9107e-01 fft_latent_opt: 6.2236e-01 +2025-10-29 23:28:57,095 INFO: [28..][epoch: 4, step: 59,700, lr:(2.000e-04,)] [eta: 9:47:55, time (data): 0.510 (0.000)] l1_latent_opt: 7.8888e-01 fft_latent_opt: 6.2162e-01 +2025-10-29 23:29:48,068 INFO: [28..][epoch: 4, step: 59,800, lr:(2.000e-04,)] [eta: 9:46:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.8166e-01 fft_latent_opt: 6.1958e-01 +2025-10-29 23:30:39,033 INFO: [28..][epoch: 4, step: 59,900, lr:(2.000e-04,)] [eta: 9:46:00, time (data): 0.510 (0.000)] l1_latent_opt: 7.9314e-01 fft_latent_opt: 6.3043e-01 +2025-10-29 23:31:30,003 INFO: [28..][epoch: 4, step: 60,000, lr:(2.000e-04,)] [eta: 9:45:03, time (data): 0.510 (0.000)] l1_latent_opt: 8.0755e-01 fft_latent_opt: 6.2363e-01 +2025-10-29 23:31:30,004 INFO: Saving models and training states. +2025-10-29 23:33:42,306 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8758 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2536 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4388 Best: 26.4388 @ 60000 iter + +2025-10-29 23:34:33,329 INFO: [28..][epoch: 4, step: 60,100, lr:(2.000e-04,)] [eta: 9:46:28, time (data): 0.509 (0.000)] l1_latent_opt: 7.9356e-01 fft_latent_opt: 6.2418e-01 +2025-10-29 23:35:24,328 INFO: [28..][epoch: 4, step: 60,200, lr:(2.000e-04,)] [eta: 9:45:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.9618e-01 fft_latent_opt: 6.2649e-01 +2025-10-29 23:36:15,428 INFO: [28..][epoch: 4, step: 60,300, lr:(2.000e-04,)] [eta: 9:44:33, time (data): 0.510 (0.000)] l1_latent_opt: 7.9811e-01 fft_latent_opt: 6.2759e-01 +2025-10-29 23:37:06,620 INFO: [28..][epoch: 4, step: 60,400, lr:(2.000e-04,)] [eta: 9:43:36, time (data): 0.512 (0.000)] l1_latent_opt: 7.8998e-01 fft_latent_opt: 6.2265e-01 +2025-10-29 23:38:39,825 INFO: [28..][epoch: 4, step: 60,500, lr:(2.000e-04,)] [eta: 9:43:23, time (data): 0.722 (0.000)] l1_latent_opt: 7.8472e-01 fft_latent_opt: 6.1707e-01 +2025-10-29 23:39:30,969 INFO: [28..][epoch: 4, step: 60,600, lr:(2.000e-04,)] [eta: 9:42:25, time (data): 0.511 (0.000)] l1_latent_opt: 7.9107e-01 fft_latent_opt: 6.2292e-01 +2025-10-29 23:40:22,352 INFO: [28..][epoch: 4, step: 60,700, lr:(2.000e-04,)] [eta: 9:41:28, time (data): 0.513 (0.000)] l1_latent_opt: 8.0188e-01 fft_latent_opt: 6.2934e-01 +2025-10-29 23:41:13,763 INFO: [28..][epoch: 4, step: 60,800, lr:(2.000e-04,)] [eta: 9:40:31, time (data): 0.514 (0.000)] l1_latent_opt: 7.9318e-01 fft_latent_opt: 6.2880e-01 +2025-10-29 23:42:05,372 INFO: [28..][epoch: 4, step: 60,900, lr:(2.000e-04,)] [eta: 9:39:34, time (data): 0.515 (0.000)] l1_latent_opt: 7.9839e-01 fft_latent_opt: 6.2466e-01 +2025-10-29 23:42:56,497 INFO: [28..][epoch: 4, step: 61,000, lr:(2.000e-04,)] [eta: 9:38:36, time (data): 0.511 (0.000)] l1_latent_opt: 7.8477e-01 fft_latent_opt: 6.1997e-01 +2025-10-29 23:43:47,787 INFO: [28..][epoch: 4, step: 61,100, lr:(2.000e-04,)] [eta: 9:37:39, time (data): 0.512 (0.000)] l1_latent_opt: 7.8838e-01 fft_latent_opt: 6.1493e-01 +2025-10-29 23:44:39,006 INFO: [28..][epoch: 4, step: 61,200, lr:(2.000e-04,)] [eta: 9:36:41, time (data): 0.512 (0.000)] l1_latent_opt: 7.9406e-01 fft_latent_opt: 6.1965e-01 +2025-10-29 23:45:29,996 INFO: [28..][epoch: 4, step: 61,300, lr:(2.000e-04,)] [eta: 9:35:44, time (data): 0.511 (0.000)] l1_latent_opt: 7.9383e-01 fft_latent_opt: 6.2725e-01 +2025-10-29 23:46:21,088 INFO: [28..][epoch: 4, step: 61,400, lr:(2.000e-04,)] [eta: 9:34:46, time (data): 0.511 (0.000)] l1_latent_opt: 8.0158e-01 fft_latent_opt: 6.2641e-01 +2025-10-29 23:47:12,058 INFO: [28..][epoch: 4, step: 61,500, lr:(2.000e-04,)] [eta: 9:33:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.9283e-01 fft_latent_opt: 6.2509e-01 +2025-10-29 23:48:03,028 INFO: [28..][epoch: 4, step: 61,600, lr:(2.000e-04,)] [eta: 9:32:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.9314e-01 fft_latent_opt: 6.2438e-01 +2025-10-29 23:48:54,084 INFO: [28..][epoch: 4, step: 61,700, lr:(2.000e-04,)] [eta: 9:31:54, time (data): 0.510 (0.000)] l1_latent_opt: 7.9057e-01 fft_latent_opt: 6.2073e-01 +2025-10-29 23:49:45,066 INFO: [28..][epoch: 4, step: 61,800, lr:(2.000e-04,)] [eta: 9:30:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.8520e-01 fft_latent_opt: 6.1962e-01 +2025-10-29 23:50:36,149 INFO: [28..][epoch: 4, step: 61,900, lr:(2.000e-04,)] [eta: 9:29:59, time (data): 0.510 (0.000)] l1_latent_opt: 7.8917e-01 fft_latent_opt: 6.1874e-01 +2025-10-29 23:51:27,427 INFO: [28..][epoch: 4, step: 62,000, lr:(2.000e-04,)] [eta: 9:29:02, time (data): 0.513 (0.000)] l1_latent_opt: 7.9752e-01 fft_latent_opt: 6.2736e-01 +2025-10-29 23:52:18,441 INFO: [28..][epoch: 4, step: 62,100, lr:(2.000e-04,)] [eta: 9:28:04, time (data): 0.511 (0.000)] l1_latent_opt: 7.8769e-01 fft_latent_opt: 6.1532e-01 +2025-10-29 23:53:09,418 INFO: [28..][epoch: 4, step: 62,200, lr:(2.000e-04,)] [eta: 9:27:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.9352e-01 fft_latent_opt: 6.2715e-01 +2025-10-29 23:54:00,459 INFO: [28..][epoch: 4, step: 62,300, lr:(2.000e-04,)] [eta: 9:26:09, time (data): 0.510 (0.000)] l1_latent_opt: 7.9507e-01 fft_latent_opt: 6.2487e-01 +2025-10-29 23:54:51,432 INFO: [28..][epoch: 4, step: 62,400, lr:(2.000e-04,)] [eta: 9:25:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.8807e-01 fft_latent_opt: 6.2423e-01 +2025-10-29 23:55:42,409 INFO: [28..][epoch: 4, step: 62,500, lr:(2.000e-04,)] [eta: 9:24:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9581e-01 fft_latent_opt: 6.2555e-01 +2025-10-29 23:56:33,390 INFO: [28..][epoch: 4, step: 62,600, lr:(1.000e-04,)] [eta: 9:23:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.8679e-01 fft_latent_opt: 6.1937e-01 +2025-10-29 23:57:24,477 INFO: [28..][epoch: 4, step: 62,700, lr:(1.000e-04,)] [eta: 9:22:20, time (data): 0.510 (0.000)] l1_latent_opt: 7.9538e-01 fft_latent_opt: 6.1962e-01 +2025-10-29 23:58:15,456 INFO: [28..][epoch: 4, step: 62,800, lr:(1.000e-04,)] [eta: 9:21:23, time (data): 0.510 (0.000)] l1_latent_opt: 7.9549e-01 fft_latent_opt: 6.2689e-01 +2025-10-29 23:59:06,426 INFO: [28..][epoch: 4, step: 62,900, lr:(1.000e-04,)] [eta: 9:20:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8657e-01 fft_latent_opt: 6.2177e-01 +2025-10-29 23:59:57,378 INFO: [28..][epoch: 4, step: 63,000, lr:(1.000e-04,)] [eta: 9:19:28, time (data): 0.510 (0.000)] l1_latent_opt: 8.0815e-01 fft_latent_opt: 6.3232e-01 +2025-10-30 00:00:48,335 INFO: [28..][epoch: 4, step: 63,100, lr:(1.000e-04,)] [eta: 9:18:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.9385e-01 fft_latent_opt: 6.2545e-01 +2025-10-30 00:01:39,392 INFO: [28..][epoch: 4, step: 63,200, lr:(1.000e-04,)] [eta: 9:17:34, time (data): 0.511 (0.001)] l1_latent_opt: 7.9801e-01 fft_latent_opt: 6.2424e-01 +2025-10-30 00:02:32,680 INFO: [28..][epoch: 5, step: 63,300, lr:(1.000e-04,)] [eta: 9:16:39, time (data): 0.523 (0.010)] l1_latent_opt: 7.9602e-01 fft_latent_opt: 6.2576e-01 +2025-10-30 00:03:23,978 INFO: [28..][epoch: 5, step: 63,400, lr:(1.000e-04,)] [eta: 9:15:42, time (data): 0.513 (0.000)] l1_latent_opt: 8.0052e-01 fft_latent_opt: 6.2967e-01 +2025-10-30 00:04:14,974 INFO: [28..][epoch: 5, step: 63,500, lr:(1.000e-04,)] [eta: 9:14:45, time (data): 0.511 (0.000)] l1_latent_opt: 7.8635e-01 fft_latent_opt: 6.1807e-01 +2025-10-30 00:05:06,256 INFO: [28..][epoch: 5, step: 63,600, lr:(1.000e-04,)] [eta: 9:13:48, time (data): 0.513 (0.000)] l1_latent_opt: 7.9589e-01 fft_latent_opt: 6.2715e-01 +2025-10-30 00:05:57,290 INFO: [28..][epoch: 5, step: 63,700, lr:(1.000e-04,)] [eta: 9:12:51, time (data): 0.512 (0.000)] l1_latent_opt: 7.8639e-01 fft_latent_opt: 6.1995e-01 +2025-10-30 00:06:48,426 INFO: [28..][epoch: 5, step: 63,800, lr:(1.000e-04,)] [eta: 9:11:54, time (data): 0.511 (0.000)] l1_latent_opt: 7.8923e-01 fft_latent_opt: 6.2360e-01 +2025-10-30 00:07:39,680 INFO: [28..][epoch: 5, step: 63,900, lr:(1.000e-04,)] [eta: 9:10:57, time (data): 0.512 (0.000)] l1_latent_opt: 7.7725e-01 fft_latent_opt: 6.1554e-01 +2025-10-30 00:08:31,084 INFO: [28..][epoch: 5, step: 64,000, lr:(1.000e-04,)] [eta: 9:10:00, time (data): 0.514 (0.000)] l1_latent_opt: 7.7839e-01 fft_latent_opt: 6.1686e-01 +2025-10-30 00:09:22,750 INFO: [28..][epoch: 5, step: 64,100, lr:(1.000e-04,)] [eta: 9:09:04, time (data): 0.515 (0.000)] l1_latent_opt: 7.8641e-01 fft_latent_opt: 6.2338e-01 +2025-10-30 00:10:14,364 INFO: [28..][epoch: 5, step: 64,200, lr:(1.000e-04,)] [eta: 9:08:07, time (data): 0.516 (0.000)] l1_latent_opt: 7.9657e-01 fft_latent_opt: 6.2603e-01 +2025-10-30 00:11:05,582 INFO: [28..][epoch: 5, step: 64,300, lr:(1.000e-04,)] [eta: 9:07:11, time (data): 0.514 (0.000)] l1_latent_opt: 7.9503e-01 fft_latent_opt: 6.2542e-01 +2025-10-30 00:11:57,014 INFO: [28..][epoch: 5, step: 64,400, lr:(1.000e-04,)] [eta: 9:06:14, time (data): 0.515 (0.001)] l1_latent_opt: 7.9726e-01 fft_latent_opt: 6.2493e-01 +2025-10-30 00:12:47,994 INFO: [28..][epoch: 5, step: 64,500, lr:(1.000e-04,)] [eta: 9:05:17, time (data): 0.512 (0.000)] l1_latent_opt: 7.9370e-01 fft_latent_opt: 6.2268e-01 +2025-10-30 00:13:39,167 INFO: [28..][epoch: 5, step: 64,600, lr:(1.000e-04,)] [eta: 9:04:20, time (data): 0.512 (0.000)] l1_latent_opt: 7.9702e-01 fft_latent_opt: 6.2792e-01 +2025-10-30 00:14:30,579 INFO: [28..][epoch: 5, step: 64,700, lr:(1.000e-04,)] [eta: 9:03:24, time (data): 0.513 (0.000)] l1_latent_opt: 7.8525e-01 fft_latent_opt: 6.1439e-01 +2025-10-30 00:15:21,603 INFO: [28..][epoch: 5, step: 64,800, lr:(1.000e-04,)] [eta: 9:02:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.9346e-01 fft_latent_opt: 6.2524e-01 +2025-10-30 00:16:12,593 INFO: [28..][epoch: 5, step: 64,900, lr:(1.000e-04,)] [eta: 9:01:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.8488e-01 fft_latent_opt: 6.1536e-01 +2025-10-30 00:17:03,557 INFO: [28..][epoch: 5, step: 65,000, lr:(1.000e-04,)] [eta: 9:00:33, time (data): 0.510 (0.000)] l1_latent_opt: 7.9316e-01 fft_latent_opt: 6.1869e-01 +2025-10-30 00:17:03,558 INFO: Saving models and training states. +2025-10-30 00:19:11,655 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8745 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2517 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4631 Best: 26.4631 @ 65000 iter + +2025-10-30 00:20:02,879 INFO: [28..][epoch: 5, step: 65,100, lr:(1.000e-04,)] [eta: 9:01:34, time (data): 0.511 (0.000)] l1_latent_opt: 7.7988e-01 fft_latent_opt: 6.1783e-01 +2025-10-30 00:20:53,985 INFO: [28..][epoch: 5, step: 65,200, lr:(1.000e-04,)] [eta: 9:00:37, time (data): 0.511 (0.000)] l1_latent_opt: 7.7784e-01 fft_latent_opt: 6.1513e-01 +2025-10-30 00:21:44,926 INFO: [28..][epoch: 5, step: 65,300, lr:(1.000e-04,)] [eta: 8:59:40, time (data): 0.510 (0.000)] l1_latent_opt: 7.9192e-01 fft_latent_opt: 6.2279e-01 +2025-10-30 00:22:35,900 INFO: [28..][epoch: 5, step: 65,400, lr:(1.000e-04,)] [eta: 8:58:43, time (data): 0.509 (0.000)] l1_latent_opt: 7.9525e-01 fft_latent_opt: 6.2572e-01 +2025-10-30 00:23:26,803 INFO: [28..][epoch: 5, step: 65,500, lr:(1.000e-04,)] [eta: 8:57:45, time (data): 0.509 (0.000)] l1_latent_opt: 7.8510e-01 fft_latent_opt: 6.1698e-01 +2025-10-30 00:24:18,120 INFO: [28..][epoch: 5, step: 65,600, lr:(1.000e-04,)] [eta: 8:56:48, time (data): 0.513 (0.000)] l1_latent_opt: 7.8195e-01 fft_latent_opt: 6.1728e-01 +2025-10-30 00:25:09,203 INFO: [28..][epoch: 5, step: 65,700, lr:(1.000e-04,)] [eta: 8:55:51, time (data): 0.512 (0.000)] l1_latent_opt: 7.8737e-01 fft_latent_opt: 6.1980e-01 +2025-10-30 00:26:00,413 INFO: [28..][epoch: 5, step: 65,800, lr:(1.000e-04,)] [eta: 8:54:54, time (data): 0.512 (0.000)] l1_latent_opt: 7.7673e-01 fft_latent_opt: 6.1581e-01 +2025-10-30 00:26:51,303 INFO: [28..][epoch: 5, step: 65,900, lr:(1.000e-04,)] [eta: 8:53:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.9425e-01 fft_latent_opt: 6.2908e-01 +2025-10-30 00:27:42,300 INFO: [28..][epoch: 5, step: 66,000, lr:(1.000e-04,)] [eta: 8:53:00, time (data): 0.510 (0.000)] l1_latent_opt: 7.8774e-01 fft_latent_opt: 6.2567e-01 +2025-10-30 00:28:33,258 INFO: [28..][epoch: 5, step: 66,100, lr:(1.000e-04,)] [eta: 8:52:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.9376e-01 fft_latent_opt: 6.2260e-01 +2025-10-30 00:29:24,181 INFO: [28..][epoch: 5, step: 66,200, lr:(1.000e-04,)] [eta: 8:51:06, time (data): 0.509 (0.000)] l1_latent_opt: 7.9427e-01 fft_latent_opt: 6.2260e-01 +2025-10-30 00:30:15,141 INFO: [28..][epoch: 5, step: 66,300, lr:(1.000e-04,)] [eta: 8:50:09, time (data): 0.509 (0.000)] l1_latent_opt: 7.9370e-01 fft_latent_opt: 6.2232e-01 +2025-10-30 00:31:06,063 INFO: [28..][epoch: 5, step: 66,400, lr:(1.000e-04,)] [eta: 8:49:12, time (data): 0.509 (0.000)] l1_latent_opt: 7.8196e-01 fft_latent_opt: 6.1770e-01 +2025-10-30 00:31:57,055 INFO: [28..][epoch: 5, step: 66,500, lr:(1.000e-04,)] [eta: 8:48:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.9135e-01 fft_latent_opt: 6.2703e-01 +2025-10-30 00:32:48,043 INFO: [28..][epoch: 5, step: 66,600, lr:(1.000e-04,)] [eta: 8:47:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.9123e-01 fft_latent_opt: 6.2139e-01 +2025-10-30 00:33:39,015 INFO: [28..][epoch: 5, step: 66,700, lr:(1.000e-04,)] [eta: 8:46:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.9581e-01 fft_latent_opt: 6.2804e-01 +2025-10-30 00:34:29,972 INFO: [28..][epoch: 5, step: 66,800, lr:(1.000e-04,)] [eta: 8:45:24, time (data): 0.509 (0.000)] l1_latent_opt: 7.8439e-01 fft_latent_opt: 6.2262e-01 +2025-10-30 00:35:21,033 INFO: [28..][epoch: 5, step: 66,900, lr:(1.000e-04,)] [eta: 8:44:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.8207e-01 fft_latent_opt: 6.1809e-01 +2025-10-30 00:36:12,027 INFO: [28..][epoch: 5, step: 67,000, lr:(1.000e-04,)] [eta: 8:43:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.8970e-01 fft_latent_opt: 6.2332e-01 +2025-10-30 00:37:03,062 INFO: [28..][epoch: 5, step: 67,100, lr:(1.000e-04,)] [eta: 8:42:33, time (data): 0.510 (0.000)] l1_latent_opt: 7.8495e-01 fft_latent_opt: 6.2531e-01 +2025-10-30 00:37:54,101 INFO: [28..][epoch: 5, step: 67,200, lr:(1.000e-04,)] [eta: 8:41:36, time (data): 0.511 (0.000)] l1_latent_opt: 7.9017e-01 fft_latent_opt: 6.2659e-01 +2025-10-30 00:38:45,179 INFO: [28..][epoch: 5, step: 67,300, lr:(1.000e-04,)] [eta: 8:40:40, time (data): 0.511 (0.000)] l1_latent_opt: 7.8541e-01 fft_latent_opt: 6.1705e-01 +2025-10-30 00:39:36,251 INFO: [28..][epoch: 5, step: 67,400, lr:(1.000e-04,)] [eta: 8:39:43, time (data): 0.510 (0.000)] l1_latent_opt: 7.9424e-01 fft_latent_opt: 6.2545e-01 +2025-10-30 00:40:27,180 INFO: [28..][epoch: 5, step: 67,500, lr:(1.000e-04,)] [eta: 8:38:46, time (data): 0.509 (0.000)] l1_latent_opt: 7.9855e-01 fft_latent_opt: 6.2380e-01 +2025-10-30 00:41:18,297 INFO: [28..][epoch: 5, step: 67,600, lr:(1.000e-04,)] [eta: 8:37:49, time (data): 0.512 (0.000)] l1_latent_opt: 7.9408e-01 fft_latent_opt: 6.2800e-01 +2025-10-30 00:42:09,524 INFO: [28..][epoch: 5, step: 67,700, lr:(1.000e-04,)] [eta: 8:36:53, time (data): 0.512 (0.000)] l1_latent_opt: 7.7820e-01 fft_latent_opt: 6.1566e-01 +2025-10-30 00:43:00,619 INFO: [28..][epoch: 5, step: 67,800, lr:(1.000e-04,)] [eta: 8:35:56, time (data): 0.512 (0.000)] l1_latent_opt: 7.9043e-01 fft_latent_opt: 6.2692e-01 +2025-10-30 00:43:51,508 INFO: [28..][epoch: 5, step: 67,900, lr:(1.000e-04,)] [eta: 8:34:59, time (data): 0.510 (0.000)] l1_latent_opt: 8.0106e-01 fft_latent_opt: 6.2578e-01 +2025-10-30 00:44:42,647 INFO: [28..][epoch: 5, step: 68,000, lr:(1.000e-04,)] [eta: 8:34:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.8223e-01 fft_latent_opt: 6.1670e-01 +2025-10-30 00:45:33,555 INFO: [28..][epoch: 5, step: 68,100, lr:(1.000e-04,)] [eta: 8:33:06, time (data): 0.509 (0.000)] l1_latent_opt: 7.8256e-01 fft_latent_opt: 6.1865e-01 +2025-10-30 00:46:24,478 INFO: [28..][epoch: 5, step: 68,200, lr:(1.000e-04,)] [eta: 8:32:09, time (data): 0.509 (0.000)] l1_latent_opt: 7.8792e-01 fft_latent_opt: 6.2429e-01 +2025-10-30 00:47:15,431 INFO: [28..][epoch: 5, step: 68,300, lr:(1.000e-04,)] [eta: 8:31:12, time (data): 0.509 (0.000)] l1_latent_opt: 7.8549e-01 fft_latent_opt: 6.1733e-01 +2025-10-30 00:48:06,343 INFO: [28..][epoch: 5, step: 68,400, lr:(1.000e-04,)] [eta: 8:30:16, time (data): 0.509 (0.000)] l1_latent_opt: 7.9577e-01 fft_latent_opt: 6.2409e-01 +2025-10-30 00:48:57,655 INFO: [28..][epoch: 5, step: 68,500, lr:(1.000e-04,)] [eta: 8:29:19, time (data): 0.512 (0.000)] l1_latent_opt: 7.9147e-01 fft_latent_opt: 6.2328e-01 +2025-10-30 00:49:48,824 INFO: [28..][epoch: 5, step: 68,600, lr:(1.000e-04,)] [eta: 8:28:23, time (data): 0.513 (0.000)] l1_latent_opt: 7.8387e-01 fft_latent_opt: 6.1875e-01 +2025-10-30 00:50:40,270 INFO: [28..][epoch: 5, step: 68,700, lr:(1.000e-04,)] [eta: 8:27:27, time (data): 0.514 (0.000)] l1_latent_opt: 7.9808e-01 fft_latent_opt: 6.2808e-01 +2025-10-30 00:51:31,626 INFO: [28..][epoch: 5, step: 68,800, lr:(1.000e-04,)] [eta: 8:26:30, time (data): 0.513 (0.000)] l1_latent_opt: 7.8580e-01 fft_latent_opt: 6.1661e-01 +2025-10-30 00:52:22,807 INFO: [28..][epoch: 5, step: 68,900, lr:(1.000e-04,)] [eta: 8:25:34, time (data): 0.512 (0.000)] l1_latent_opt: 7.8712e-01 fft_latent_opt: 6.1971e-01 +2025-10-30 00:53:13,722 INFO: [28..][epoch: 5, step: 69,000, lr:(1.000e-04,)] [eta: 8:24:37, time (data): 0.509 (0.000)] l1_latent_opt: 7.9417e-01 fft_latent_opt: 6.2407e-01 +2025-10-30 00:54:04,616 INFO: [28..][epoch: 5, step: 69,100, lr:(1.000e-04,)] [eta: 8:23:40, time (data): 0.509 (0.000)] l1_latent_opt: 7.8649e-01 fft_latent_opt: 6.2072e-01 +2025-10-30 00:54:55,515 INFO: [28..][epoch: 5, step: 69,200, lr:(1.000e-04,)] [eta: 8:22:44, time (data): 0.509 (0.000)] l1_latent_opt: 7.8937e-01 fft_latent_opt: 6.2410e-01 +2025-10-30 00:55:46,416 INFO: [28..][epoch: 5, step: 69,300, lr:(1.000e-04,)] [eta: 8:21:47, time (data): 0.509 (0.000)] l1_latent_opt: 7.9275e-01 fft_latent_opt: 6.2530e-01 +2025-10-30 00:56:37,327 INFO: [28..][epoch: 5, step: 69,400, lr:(1.000e-04,)] [eta: 8:20:51, time (data): 0.509 (0.000)] l1_latent_opt: 7.8527e-01 fft_latent_opt: 6.1642e-01 +2025-10-30 00:57:28,260 INFO: [28..][epoch: 5, step: 69,500, lr:(1.000e-04,)] [eta: 8:19:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.9422e-01 fft_latent_opt: 6.2475e-01 +2025-10-30 00:58:19,177 INFO: [28..][epoch: 5, step: 69,600, lr:(1.000e-04,)] [eta: 8:18:58, time (data): 0.509 (0.000)] l1_latent_opt: 7.9102e-01 fft_latent_opt: 6.2382e-01 +2025-10-30 00:59:10,094 INFO: [28..][epoch: 5, step: 69,700, lr:(1.000e-04,)] [eta: 8:18:01, time (data): 0.509 (0.000)] l1_latent_opt: 7.8020e-01 fft_latent_opt: 6.1670e-01 +2025-10-30 01:00:00,998 INFO: [28..][epoch: 5, step: 69,800, lr:(1.000e-04,)] [eta: 8:17:05, time (data): 0.509 (0.000)] l1_latent_opt: 7.8831e-01 fft_latent_opt: 6.1991e-01 +2025-10-30 01:00:51,903 INFO: [28..][epoch: 5, step: 69,900, lr:(1.000e-04,)] [eta: 8:16:08, time (data): 0.509 (0.000)] l1_latent_opt: 7.9480e-01 fft_latent_opt: 6.2585e-01 +2025-10-30 01:02:21,957 INFO: [28..][epoch: 5, step: 70,000, lr:(1.000e-04,)] [eta: 8:15:42, time (data): 0.508 (0.000)] l1_latent_opt: 7.8204e-01 fft_latent_opt: 6.1996e-01 +2025-10-30 01:02:21,958 INFO: Saving models and training states. +2025-10-30 01:05:15,652 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8782 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2601 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4639 Best: 26.4639 @ 70000 iter + +2025-10-30 01:06:06,889 INFO: [28..][epoch: 5, step: 70,100, lr:(1.000e-04,)] [eta: 8:17:02, time (data): 0.511 (0.000)] l1_latent_opt: 7.7466e-01 fft_latent_opt: 6.1301e-01 +2025-10-30 01:06:57,816 INFO: [28..][epoch: 5, step: 70,200, lr:(1.000e-04,)] [eta: 8:16:05, time (data): 0.509 (0.000)] l1_latent_opt: 7.9303e-01 fft_latent_opt: 6.2015e-01 +2025-10-30 01:07:48,822 INFO: [28..][epoch: 5, step: 70,300, lr:(1.000e-04,)] [eta: 8:15:08, time (data): 0.510 (0.000)] l1_latent_opt: 7.9681e-01 fft_latent_opt: 6.2447e-01 +2025-10-30 01:08:39,933 INFO: [28..][epoch: 5, step: 70,400, lr:(1.000e-04,)] [eta: 8:14:11, time (data): 0.510 (0.000)] l1_latent_opt: 7.9215e-01 fft_latent_opt: 6.2336e-01 +2025-10-30 01:09:31,118 INFO: [28..][epoch: 5, step: 70,500, lr:(1.000e-04,)] [eta: 8:13:15, time (data): 0.511 (0.000)] l1_latent_opt: 7.8526e-01 fft_latent_opt: 6.1999e-01 +2025-10-30 01:10:22,285 INFO: [28..][epoch: 5, step: 70,600, lr:(1.000e-04,)] [eta: 8:12:18, time (data): 0.512 (0.000)] l1_latent_opt: 7.8843e-01 fft_latent_opt: 6.2352e-01 +2025-10-30 01:11:13,504 INFO: [28..][epoch: 5, step: 70,700, lr:(1.000e-04,)] [eta: 8:11:21, time (data): 0.512 (0.000)] l1_latent_opt: 7.9405e-01 fft_latent_opt: 6.2530e-01 +2025-10-30 01:12:04,722 INFO: [28..][epoch: 5, step: 70,800, lr:(1.000e-04,)] [eta: 8:10:25, time (data): 0.515 (0.000)] l1_latent_opt: 7.9386e-01 fft_latent_opt: 6.2112e-01 +2025-10-30 01:12:55,917 INFO: [28..][epoch: 5, step: 70,900, lr:(1.000e-04,)] [eta: 8:09:28, time (data): 0.513 (0.000)] l1_latent_opt: 7.9259e-01 fft_latent_opt: 6.2135e-01 +2025-10-30 01:13:47,364 INFO: [28..][epoch: 5, step: 71,000, lr:(1.000e-04,)] [eta: 8:08:32, time (data): 0.513 (0.000)] l1_latent_opt: 8.0108e-01 fft_latent_opt: 6.2625e-01 +2025-10-30 01:14:38,601 INFO: [28..][epoch: 5, step: 71,100, lr:(1.000e-04,)] [eta: 8:07:35, time (data): 0.513 (0.000)] l1_latent_opt: 7.9926e-01 fft_latent_opt: 6.2916e-01 +2025-10-30 01:15:29,681 INFO: [28..][epoch: 5, step: 71,200, lr:(1.000e-04,)] [eta: 8:06:38, time (data): 0.512 (0.000)] l1_latent_opt: 7.9138e-01 fft_latent_opt: 6.2563e-01 +2025-10-30 01:16:20,838 INFO: [28..][epoch: 5, step: 71,300, lr:(1.000e-04,)] [eta: 8:05:42, time (data): 0.512 (0.000)] l1_latent_opt: 7.8481e-01 fft_latent_opt: 6.1995e-01 +2025-10-30 01:17:11,816 INFO: [28..][epoch: 5, step: 71,400, lr:(1.000e-04,)] [eta: 8:04:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.9549e-01 fft_latent_opt: 6.2380e-01 +2025-10-30 01:18:03,168 INFO: [28..][epoch: 5, step: 71,500, lr:(1.000e-04,)] [eta: 8:03:48, time (data): 0.512 (0.000)] l1_latent_opt: 7.9775e-01 fft_latent_opt: 6.2579e-01 +2025-10-30 01:18:54,218 INFO: [28..][epoch: 5, step: 71,600, lr:(1.000e-04,)] [eta: 8:02:52, time (data): 0.510 (0.000)] l1_latent_opt: 7.9848e-01 fft_latent_opt: 6.3078e-01 +2025-10-30 01:19:45,181 INFO: [28..][epoch: 5, step: 71,700, lr:(1.000e-04,)] [eta: 8:01:55, time (data): 0.510 (0.000)] l1_latent_opt: 7.8877e-01 fft_latent_opt: 6.2133e-01 +2025-10-30 01:20:36,148 INFO: [28..][epoch: 5, step: 71,800, lr:(1.000e-04,)] [eta: 8:00:58, time (data): 0.510 (0.000)] l1_latent_opt: 7.8442e-01 fft_latent_opt: 6.2229e-01 +2025-10-30 01:21:27,112 INFO: [28..][epoch: 5, step: 71,900, lr:(1.000e-04,)] [eta: 8:00:02, time (data): 0.510 (0.000)] l1_latent_opt: 7.8659e-01 fft_latent_opt: 6.1990e-01 +2025-10-30 01:22:18,250 INFO: [28..][epoch: 5, step: 72,000, lr:(1.000e-04,)] [eta: 7:59:05, time (data): 0.513 (0.000)] l1_latent_opt: 7.8779e-01 fft_latent_opt: 6.2505e-01 +2025-10-30 01:23:09,720 INFO: [28..][epoch: 5, step: 72,100, lr:(1.000e-04,)] [eta: 7:58:09, time (data): 0.514 (0.000)] l1_latent_opt: 7.8160e-01 fft_latent_opt: 6.1558e-01 +2025-10-30 01:24:01,387 INFO: [28..][epoch: 5, step: 72,200, lr:(1.000e-04,)] [eta: 7:57:13, time (data): 0.517 (0.000)] l1_latent_opt: 7.9001e-01 fft_latent_opt: 6.1938e-01 +2025-10-30 01:24:52,409 INFO: [28..][epoch: 5, step: 72,300, lr:(1.000e-04,)] [eta: 7:56:16, time (data): 0.512 (0.000)] l1_latent_opt: 7.9240e-01 fft_latent_opt: 6.2734e-01 +2025-10-30 01:25:43,351 INFO: [28..][epoch: 5, step: 72,400, lr:(1.000e-04,)] [eta: 7:55:20, time (data): 0.509 (0.000)] l1_latent_opt: 7.8342e-01 fft_latent_opt: 6.2201e-01 +2025-10-30 01:26:34,491 INFO: [28..][epoch: 5, step: 72,500, lr:(1.000e-04,)] [eta: 7:54:23, time (data): 0.511 (0.000)] l1_latent_opt: 7.8641e-01 fft_latent_opt: 6.2400e-01 +2025-10-30 01:27:25,505 INFO: [28..][epoch: 5, step: 72,600, lr:(1.000e-04,)] [eta: 7:53:27, time (data): 0.511 (0.000)] l1_latent_opt: 7.9059e-01 fft_latent_opt: 6.2205e-01 +2025-10-30 01:28:16,475 INFO: [28..][epoch: 5, step: 72,700, lr:(1.000e-04,)] [eta: 7:52:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.8614e-01 fft_latent_opt: 6.2250e-01 +2025-10-30 01:29:07,469 INFO: [28..][epoch: 5, step: 72,800, lr:(1.000e-04,)] [eta: 7:51:34, time (data): 0.509 (0.000)] l1_latent_opt: 7.8465e-01 fft_latent_opt: 6.1914e-01 +2025-10-30 01:29:58,503 INFO: [28..][epoch: 5, step: 72,900, lr:(1.000e-04,)] [eta: 7:50:37, time (data): 0.510 (0.000)] l1_latent_opt: 7.8559e-01 fft_latent_opt: 6.1862e-01 +2025-10-30 01:30:49,721 INFO: [28..][epoch: 5, step: 73,000, lr:(1.000e-04,)] [eta: 7:49:41, time (data): 0.514 (0.000)] l1_latent_opt: 7.8056e-01 fft_latent_opt: 6.1731e-01 +2025-10-30 01:31:41,037 INFO: [28..][epoch: 5, step: 73,100, lr:(1.000e-04,)] [eta: 7:48:45, time (data): 0.513 (0.000)] l1_latent_opt: 7.7563e-01 fft_latent_opt: 6.1643e-01 +2025-10-30 01:32:32,104 INFO: [28..][epoch: 5, step: 73,200, lr:(1.000e-04,)] [eta: 7:47:48, time (data): 0.511 (0.000)] l1_latent_opt: 7.9000e-01 fft_latent_opt: 6.2564e-01 +2025-10-30 01:33:23,148 INFO: [28..][epoch: 5, step: 73,300, lr:(1.000e-04,)] [eta: 7:46:52, time (data): 0.511 (0.000)] l1_latent_opt: 7.9248e-01 fft_latent_opt: 6.2443e-01 +2025-10-30 01:34:14,178 INFO: [28..][epoch: 5, step: 73,400, lr:(1.000e-04,)] [eta: 7:45:55, time (data): 0.510 (0.000)] l1_latent_opt: 7.9055e-01 fft_latent_opt: 6.2441e-01 +2025-10-30 01:35:05,235 INFO: [28..][epoch: 5, step: 73,500, lr:(1.000e-04,)] [eta: 7:44:59, time (data): 0.510 (0.000)] l1_latent_opt: 7.9461e-01 fft_latent_opt: 6.2286e-01 +2025-10-30 01:35:56,314 INFO: [28..][epoch: 5, step: 73,600, lr:(1.000e-04,)] [eta: 7:44:03, time (data): 0.511 (0.000)] l1_latent_opt: 7.8407e-01 fft_latent_opt: 6.1646e-01 +2025-10-30 01:36:47,332 INFO: [28..][epoch: 5, step: 73,700, lr:(1.000e-04,)] [eta: 7:43:06, time (data): 0.510 (0.000)] l1_latent_opt: 7.9523e-01 fft_latent_opt: 6.2594e-01 +2025-10-30 01:37:38,360 INFO: [28..][epoch: 5, step: 73,800, lr:(1.000e-04,)] [eta: 7:42:10, time (data): 0.510 (0.000)] l1_latent_opt: 7.8425e-01 fft_latent_opt: 6.2198e-01 +2025-10-30 01:38:29,509 INFO: [28..][epoch: 5, step: 73,900, lr:(1.000e-04,)] [eta: 7:41:14, time (data): 0.511 (0.000)] l1_latent_opt: 7.8890e-01 fft_latent_opt: 6.2414e-01 +2025-10-30 01:39:20,524 INFO: [28..][epoch: 5, step: 74,000, lr:(1.000e-04,)] [eta: 7:40:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.9651e-01 fft_latent_opt: 6.2760e-01 +2025-10-30 01:40:11,526 INFO: [28..][epoch: 5, step: 74,100, lr:(1.000e-04,)] [eta: 7:39:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.8666e-01 fft_latent_opt: 6.2280e-01 +2025-10-30 01:41:02,522 INFO: [28..][epoch: 5, step: 74,200, lr:(1.000e-04,)] [eta: 7:38:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.8338e-01 fft_latent_opt: 6.1992e-01 +2025-10-30 01:41:53,564 INFO: [28..][epoch: 5, step: 74,300, lr:(1.000e-04,)] [eta: 7:37:29, time (data): 0.510 (0.000)] l1_latent_opt: 7.8416e-01 fft_latent_opt: 6.2135e-01 +2025-10-30 01:43:10,992 INFO: [28..][epoch: 5, step: 74,400, lr:(1.000e-04,)] [eta: 7:36:50, time (data): 0.508 (0.000)] l1_latent_opt: 7.8991e-01 fft_latent_opt: 6.2161e-01 +2025-10-30 01:44:01,822 INFO: [28..][epoch: 5, step: 74,500, lr:(1.000e-04,)] [eta: 7:35:54, time (data): 0.508 (0.000)] l1_latent_opt: 7.8581e-01 fft_latent_opt: 6.2145e-01 +2025-10-30 01:44:52,867 INFO: [28..][epoch: 5, step: 74,600, lr:(1.000e-04,)] [eta: 7:34:58, time (data): 0.512 (0.000)] l1_latent_opt: 7.8145e-01 fft_latent_opt: 6.1782e-01 +2025-10-30 01:45:43,879 INFO: [28..][epoch: 5, step: 74,700, lr:(1.000e-04,)] [eta: 7:34:01, time (data): 0.510 (0.000)] l1_latent_opt: 8.0119e-01 fft_latent_opt: 6.2799e-01 +2025-10-30 01:46:34,828 INFO: [28..][epoch: 5, step: 74,800, lr:(1.000e-04,)] [eta: 7:33:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.8752e-01 fft_latent_opt: 6.1712e-01 +2025-10-30 01:47:25,793 INFO: [28..][epoch: 5, step: 74,900, lr:(1.000e-04,)] [eta: 7:32:09, time (data): 0.510 (0.000)] l1_latent_opt: 7.8623e-01 fft_latent_opt: 6.1864e-01 +2025-10-30 01:48:16,743 INFO: [28..][epoch: 5, step: 75,000, lr:(1.000e-04,)] [eta: 7:31:12, time (data): 0.509 (0.000)] l1_latent_opt: 7.9665e-01 fft_latent_opt: 6.2420e-01 +2025-10-30 01:48:16,745 INFO: Saving models and training states. +2025-10-30 01:50:25,555 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8782 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2602 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4624 Best: 26.4639 @ 70000 iter + +2025-10-30 01:51:16,427 INFO: [28..][epoch: 5, step: 75,100, lr:(1.000e-04,)] [eta: 7:31:42, time (data): 0.509 (0.000)] l1_latent_opt: 7.8969e-01 fft_latent_opt: 6.2581e-01 +2025-10-30 01:52:07,407 INFO: [28..][epoch: 5, step: 75,200, lr:(1.000e-04,)] [eta: 7:30:45, time (data): 0.509 (0.000)] l1_latent_opt: 7.8027e-01 fft_latent_opt: 6.2036e-01 +2025-10-30 01:52:58,573 INFO: [28..][epoch: 5, step: 75,300, lr:(1.000e-04,)] [eta: 7:29:49, time (data): 0.511 (0.000)] l1_latent_opt: 7.9109e-01 fft_latent_opt: 6.1978e-01 +2025-10-30 01:53:49,897 INFO: [28..][epoch: 5, step: 75,400, lr:(1.000e-04,)] [eta: 7:28:52, time (data): 0.512 (0.000)] l1_latent_opt: 7.8370e-01 fft_latent_opt: 6.2086e-01 +2025-10-30 01:54:40,868 INFO: [28..][epoch: 5, step: 75,500, lr:(1.000e-04,)] [eta: 7:27:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.8360e-01 fft_latent_opt: 6.1902e-01 +2025-10-30 01:55:31,848 INFO: [28..][epoch: 5, step: 75,600, lr:(1.000e-04,)] [eta: 7:26:59, time (data): 0.509 (0.000)] l1_latent_opt: 7.8803e-01 fft_latent_opt: 6.1748e-01 +2025-10-30 01:56:22,777 INFO: [28..][epoch: 5, step: 75,700, lr:(1.000e-04,)] [eta: 7:26:03, time (data): 0.509 (0.000)] l1_latent_opt: 7.9577e-01 fft_latent_opt: 6.2293e-01 +2025-10-30 01:57:13,723 INFO: [28..][epoch: 5, step: 75,800, lr:(1.000e-04,)] [eta: 7:25:07, time (data): 0.509 (0.000)] l1_latent_opt: 7.8958e-01 fft_latent_opt: 6.2185e-01 +2025-10-30 01:58:04,622 INFO: [28..][epoch: 5, step: 75,900, lr:(1.000e-04,)] [eta: 7:24:10, time (data): 0.509 (0.001)] l1_latent_opt: 7.8754e-01 fft_latent_opt: 6.2431e-01 +2025-10-30 01:58:58,022 INFO: [28..][epoch: 6, step: 76,000, lr:(1.000e-04,)] [eta: 7:23:15, time (data): 0.509 (0.000)] l1_latent_opt: 7.8687e-01 fft_latent_opt: 6.2373e-01 +2025-10-30 01:59:48,907 INFO: [28..][epoch: 6, step: 76,100, lr:(1.000e-04,)] [eta: 7:22:19, time (data): 0.509 (0.000)] l1_latent_opt: 7.8350e-01 fft_latent_opt: 6.1876e-01 +2025-10-30 02:00:39,977 INFO: [28..][epoch: 6, step: 76,200, lr:(1.000e-04,)] [eta: 7:21:22, time (data): 0.513 (0.000)] l1_latent_opt: 7.9492e-01 fft_latent_opt: 6.2681e-01 +2025-10-30 02:01:30,894 INFO: [28..][epoch: 6, step: 76,300, lr:(1.000e-04,)] [eta: 7:20:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8298e-01 fft_latent_opt: 6.1837e-01 +2025-10-30 02:02:21,840 INFO: [28..][epoch: 6, step: 76,400, lr:(1.000e-04,)] [eta: 7:19:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.8985e-01 fft_latent_opt: 6.2191e-01 +2025-10-30 02:03:13,214 INFO: [28..][epoch: 6, step: 76,500, lr:(1.000e-04,)] [eta: 7:18:34, time (data): 0.513 (0.000)] l1_latent_opt: 7.9837e-01 fft_latent_opt: 6.2996e-01 +2025-10-30 02:04:04,181 INFO: [28..][epoch: 6, step: 76,600, lr:(1.000e-04,)] [eta: 7:17:37, time (data): 0.510 (0.000)] l1_latent_opt: 7.8458e-01 fft_latent_opt: 6.2137e-01 +2025-10-30 02:04:55,145 INFO: [28..][epoch: 6, step: 76,700, lr:(1.000e-04,)] [eta: 7:16:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.9098e-01 fft_latent_opt: 6.2818e-01 +2025-10-30 02:05:46,122 INFO: [28..][epoch: 6, step: 76,800, lr:(1.000e-04,)] [eta: 7:15:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.7999e-01 fft_latent_opt: 6.1478e-01 +2025-10-30 02:06:37,095 INFO: [28..][epoch: 6, step: 76,900, lr:(1.000e-04,)] [eta: 7:14:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.8179e-01 fft_latent_opt: 6.1740e-01 +2025-10-30 02:07:28,049 INFO: [28..][epoch: 6, step: 77,000, lr:(1.000e-04,)] [eta: 7:13:52, time (data): 0.509 (0.000)] l1_latent_opt: 7.8504e-01 fft_latent_opt: 6.2177e-01 +2025-10-30 02:08:19,002 INFO: [28..][epoch: 6, step: 77,100, lr:(1.000e-04,)] [eta: 7:12:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.8415e-01 fft_latent_opt: 6.2196e-01 +2025-10-30 02:09:09,969 INFO: [28..][epoch: 6, step: 77,200, lr:(1.000e-04,)] [eta: 7:11:59, time (data): 0.509 (0.000)] l1_latent_opt: 7.8043e-01 fft_latent_opt: 6.1727e-01 +2025-10-30 02:10:00,972 INFO: [28..][epoch: 6, step: 77,300, lr:(1.000e-04,)] [eta: 7:11:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.8250e-01 fft_latent_opt: 6.1763e-01 +2025-10-30 02:10:52,344 INFO: [28..][epoch: 6, step: 77,400, lr:(1.000e-04,)] [eta: 7:10:07, time (data): 0.507 (0.000)] l1_latent_opt: 7.8569e-01 fft_latent_opt: 6.2306e-01 +2025-10-30 02:11:43,086 INFO: [28..][epoch: 6, step: 77,500, lr:(1.000e-04,)] [eta: 7:09:11, time (data): 0.507 (0.000)] l1_latent_opt: 7.9144e-01 fft_latent_opt: 6.2750e-01 +2025-10-30 02:12:33,813 INFO: [28..][epoch: 6, step: 77,600, lr:(1.000e-04,)] [eta: 7:08:15, time (data): 0.507 (0.000)] l1_latent_opt: 7.7978e-01 fft_latent_opt: 6.1944e-01 +2025-10-30 02:13:24,535 INFO: [28..][epoch: 6, step: 77,700, lr:(1.000e-04,)] [eta: 7:07:18, time (data): 0.507 (0.000)] l1_latent_opt: 7.8764e-01 fft_latent_opt: 6.2017e-01 +2025-10-30 02:14:15,257 INFO: [28..][epoch: 6, step: 77,800, lr:(1.000e-04,)] [eta: 7:06:22, time (data): 0.507 (0.000)] l1_latent_opt: 7.9354e-01 fft_latent_opt: 6.2640e-01 +2025-10-30 02:15:05,987 INFO: [28..][epoch: 6, step: 77,900, lr:(1.000e-04,)] [eta: 7:05:26, time (data): 0.507 (0.000)] l1_latent_opt: 7.8566e-01 fft_latent_opt: 6.2112e-01 +2025-10-30 02:15:56,897 INFO: [28..][epoch: 6, step: 78,000, lr:(1.000e-04,)] [eta: 7:04:29, time (data): 0.508 (0.000)] l1_latent_opt: 7.9536e-01 fft_latent_opt: 6.2749e-01 +2025-10-30 02:16:47,633 INFO: [28..][epoch: 6, step: 78,100, lr:(1.000e-04,)] [eta: 7:03:33, time (data): 0.507 (0.000)] l1_latent_opt: 7.8361e-01 fft_latent_opt: 6.2196e-01 +2025-10-30 02:17:38,389 INFO: [28..][epoch: 6, step: 78,200, lr:(1.000e-04,)] [eta: 7:02:37, time (data): 0.508 (0.000)] l1_latent_opt: 7.7709e-01 fft_latent_opt: 6.1638e-01 +2025-10-30 02:18:29,160 INFO: [28..][epoch: 6, step: 78,300, lr:(1.000e-04,)] [eta: 7:01:41, time (data): 0.508 (0.000)] l1_latent_opt: 7.8363e-01 fft_latent_opt: 6.1698e-01 +2025-10-30 02:19:19,952 INFO: [28..][epoch: 6, step: 78,400, lr:(1.000e-04,)] [eta: 7:00:45, time (data): 0.508 (0.000)] l1_latent_opt: 7.8501e-01 fft_latent_opt: 6.2400e-01 +2025-10-30 02:20:10,715 INFO: [28..][epoch: 6, step: 78,500, lr:(1.000e-04,)] [eta: 6:59:48, time (data): 0.508 (0.000)] l1_latent_opt: 7.8944e-01 fft_latent_opt: 6.2544e-01 +2025-10-30 02:21:01,497 INFO: [28..][epoch: 6, step: 78,600, lr:(1.000e-04,)] [eta: 6:58:52, time (data): 0.508 (0.000)] l1_latent_opt: 7.9298e-01 fft_latent_opt: 6.2616e-01 +2025-10-30 02:21:52,280 INFO: [28..][epoch: 6, step: 78,700, lr:(1.000e-04,)] [eta: 6:57:56, time (data): 0.508 (0.000)] l1_latent_opt: 7.7251e-01 fft_latent_opt: 6.1358e-01 +2025-10-30 02:22:43,044 INFO: [28..][epoch: 6, step: 78,800, lr:(1.000e-04,)] [eta: 6:57:00, time (data): 0.507 (0.000)] l1_latent_opt: 7.9661e-01 fft_latent_opt: 6.2672e-01 +2025-10-30 02:23:33,808 INFO: [28..][epoch: 6, step: 78,900, lr:(1.000e-04,)] [eta: 6:56:04, time (data): 0.508 (0.000)] l1_latent_opt: 7.7051e-01 fft_latent_opt: 6.1133e-01 +2025-10-30 02:24:24,590 INFO: [28..][epoch: 6, step: 79,000, lr:(1.000e-04,)] [eta: 6:55:08, time (data): 0.508 (0.000)] l1_latent_opt: 7.8478e-01 fft_latent_opt: 6.1972e-01 +2025-10-30 02:25:15,370 INFO: [28..][epoch: 6, step: 79,100, lr:(1.000e-04,)] [eta: 6:54:12, time (data): 0.508 (0.000)] l1_latent_opt: 7.8737e-01 fft_latent_opt: 6.1978e-01 +2025-10-30 02:26:06,272 INFO: [28..][epoch: 6, step: 79,200, lr:(1.000e-04,)] [eta: 6:53:15, time (data): 0.509 (0.000)] l1_latent_opt: 7.8439e-01 fft_latent_opt: 6.2119e-01 +2025-10-30 02:26:57,208 INFO: [28..][epoch: 6, step: 79,300, lr:(1.000e-04,)] [eta: 6:52:20, time (data): 0.509 (0.000)] l1_latent_opt: 7.9342e-01 fft_latent_opt: 6.2415e-01 +2025-10-30 02:27:48,141 INFO: [28..][epoch: 6, step: 79,400, lr:(1.000e-04,)] [eta: 6:51:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.8255e-01 fft_latent_opt: 6.1746e-01 +2025-10-30 02:28:39,072 INFO: [28..][epoch: 6, step: 79,500, lr:(1.000e-04,)] [eta: 6:50:28, time (data): 0.509 (0.000)] l1_latent_opt: 7.9439e-01 fft_latent_opt: 6.2408e-01 +2025-10-30 02:29:29,988 INFO: [28..][epoch: 6, step: 79,600, lr:(1.000e-04,)] [eta: 6:49:32, time (data): 0.509 (0.000)] l1_latent_opt: 7.9562e-01 fft_latent_opt: 6.2418e-01 +2025-10-30 02:30:20,969 INFO: [28..][epoch: 6, step: 79,700, lr:(1.000e-04,)] [eta: 6:48:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.8421e-01 fft_latent_opt: 6.1960e-01 +2025-10-30 02:31:11,929 INFO: [28..][epoch: 6, step: 79,800, lr:(1.000e-04,)] [eta: 6:47:40, time (data): 0.509 (0.000)] l1_latent_opt: 7.8838e-01 fft_latent_opt: 6.2498e-01 +2025-10-30 02:32:02,814 INFO: [28..][epoch: 6, step: 79,900, lr:(1.000e-04,)] [eta: 6:46:44, time (data): 0.509 (0.000)] l1_latent_opt: 7.8648e-01 fft_latent_opt: 6.1674e-01 +2025-10-30 02:32:53,717 INFO: [28..][epoch: 6, step: 80,000, lr:(1.000e-04,)] [eta: 6:45:48, time (data): 0.509 (0.000)] l1_latent_opt: 7.9386e-01 fft_latent_opt: 6.2214e-01 +2025-10-30 02:32:53,719 INFO: Saving models and training states. +2025-10-30 02:35:39,981 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8806 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2673 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4601 Best: 26.4639 @ 70000 iter + +2025-10-30 02:36:30,937 INFO: [28..][epoch: 6, step: 80,100, lr:(1.000e-04,)] [eta: 6:46:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.7132e-01 fft_latent_opt: 6.1195e-01 +2025-10-30 02:37:21,898 INFO: [28..][epoch: 6, step: 80,200, lr:(1.000e-04,)] [eta: 6:45:29, time (data): 0.509 (0.000)] l1_latent_opt: 7.8759e-01 fft_latent_opt: 6.2486e-01 +2025-10-30 02:38:12,861 INFO: [28..][epoch: 6, step: 80,300, lr:(1.000e-04,)] [eta: 6:44:33, time (data): 0.510 (0.000)] l1_latent_opt: 7.7015e-01 fft_latent_opt: 6.0926e-01 +2025-10-30 02:39:03,944 INFO: [28..][epoch: 6, step: 80,400, lr:(1.000e-04,)] [eta: 6:43:37, time (data): 0.510 (0.000)] l1_latent_opt: 7.8540e-01 fft_latent_opt: 6.2327e-01 +2025-10-30 02:39:55,232 INFO: [28..][epoch: 6, step: 80,500, lr:(1.000e-04,)] [eta: 6:42:41, time (data): 0.513 (0.000)] l1_latent_opt: 7.7995e-01 fft_latent_opt: 6.2021e-01 +2025-10-30 02:40:46,515 INFO: [28..][epoch: 6, step: 80,600, lr:(1.000e-04,)] [eta: 6:41:45, time (data): 0.513 (0.000)] l1_latent_opt: 7.7696e-01 fft_latent_opt: 6.1634e-01 +2025-10-30 02:41:37,640 INFO: [28..][epoch: 6, step: 80,700, lr:(1.000e-04,)] [eta: 6:40:49, time (data): 0.511 (0.000)] l1_latent_opt: 7.8365e-01 fft_latent_opt: 6.2523e-01 +2025-10-30 02:42:28,599 INFO: [28..][epoch: 6, step: 80,800, lr:(1.000e-04,)] [eta: 6:39:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.9459e-01 fft_latent_opt: 6.2730e-01 +2025-10-30 02:43:19,605 INFO: [28..][epoch: 6, step: 80,900, lr:(1.000e-04,)] [eta: 6:38:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.9004e-01 fft_latent_opt: 6.2279e-01 +2025-10-30 02:44:10,563 INFO: [28..][epoch: 6, step: 81,000, lr:(1.000e-04,)] [eta: 6:38:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8787e-01 fft_latent_opt: 6.2566e-01 +2025-10-30 02:45:01,556 INFO: [28..][epoch: 6, step: 81,100, lr:(1.000e-04,)] [eta: 6:37:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.8134e-01 fft_latent_opt: 6.1715e-01 +2025-10-30 02:45:52,525 INFO: [28..][epoch: 6, step: 81,200, lr:(1.000e-04,)] [eta: 6:36:08, time (data): 0.510 (0.000)] l1_latent_opt: 7.9055e-01 fft_latent_opt: 6.2079e-01 +2025-10-30 02:46:43,506 INFO: [28..][epoch: 6, step: 81,300, lr:(1.000e-04,)] [eta: 6:35:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.8248e-01 fft_latent_opt: 6.1700e-01 +2025-10-30 02:47:34,464 INFO: [28..][epoch: 6, step: 81,400, lr:(1.000e-04,)] [eta: 6:34:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.8546e-01 fft_latent_opt: 6.2030e-01 +2025-10-30 02:48:25,416 INFO: [28..][epoch: 6, step: 81,500, lr:(1.000e-04,)] [eta: 6:33:20, time (data): 0.510 (0.000)] l1_latent_opt: 7.9303e-01 fft_latent_opt: 6.2557e-01 +2025-10-30 02:49:16,495 INFO: [28..][epoch: 6, step: 81,600, lr:(1.000e-04,)] [eta: 6:32:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.8853e-01 fft_latent_opt: 6.2407e-01 +2025-10-30 02:50:07,465 INFO: [28..][epoch: 6, step: 81,700, lr:(1.000e-04,)] [eta: 6:31:28, time (data): 0.510 (0.000)] l1_latent_opt: 7.8677e-01 fft_latent_opt: 6.1960e-01 +2025-10-30 02:50:58,589 INFO: [28..][epoch: 6, step: 81,800, lr:(1.000e-04,)] [eta: 6:30:33, time (data): 0.510 (0.000)] l1_latent_opt: 7.8600e-01 fft_latent_opt: 6.1631e-01 +2025-10-30 02:51:49,676 INFO: [28..][epoch: 6, step: 81,900, lr:(1.000e-04,)] [eta: 6:29:37, time (data): 0.511 (0.000)] l1_latent_opt: 7.8878e-01 fft_latent_opt: 6.2028e-01 +2025-10-30 02:52:40,660 INFO: [28..][epoch: 6, step: 82,000, lr:(1.000e-04,)] [eta: 6:28:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.8878e-01 fft_latent_opt: 6.2583e-01 +2025-10-30 02:53:31,685 INFO: [28..][epoch: 6, step: 82,100, lr:(1.000e-04,)] [eta: 6:27:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.7282e-01 fft_latent_opt: 6.1211e-01 +2025-10-30 02:54:22,736 INFO: [28..][epoch: 6, step: 82,200, lr:(1.000e-04,)] [eta: 6:26:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.8873e-01 fft_latent_opt: 6.2080e-01 +2025-10-30 02:55:13,777 INFO: [28..][epoch: 6, step: 82,300, lr:(1.000e-04,)] [eta: 6:25:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.7997e-01 fft_latent_opt: 6.1997e-01 +2025-10-30 02:56:04,848 INFO: [28..][epoch: 6, step: 82,400, lr:(1.000e-04,)] [eta: 6:24:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.9135e-01 fft_latent_opt: 6.2219e-01 +2025-10-30 02:56:55,881 INFO: [28..][epoch: 6, step: 82,500, lr:(1.000e-04,)] [eta: 6:24:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8832e-01 fft_latent_opt: 6.1959e-01 +2025-10-30 02:57:46,916 INFO: [28..][epoch: 6, step: 82,600, lr:(1.000e-04,)] [eta: 6:23:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.9365e-01 fft_latent_opt: 6.2695e-01 +2025-10-30 02:58:37,963 INFO: [28..][epoch: 6, step: 82,700, lr:(1.000e-04,)] [eta: 6:22:10, time (data): 0.510 (0.000)] l1_latent_opt: 7.8663e-01 fft_latent_opt: 6.2147e-01 +2025-10-30 02:59:29,015 INFO: [28..][epoch: 6, step: 82,800, lr:(1.000e-04,)] [eta: 6:21:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.8156e-01 fft_latent_opt: 6.2207e-01 +2025-10-30 03:00:20,075 INFO: [28..][epoch: 6, step: 82,900, lr:(1.000e-04,)] [eta: 6:20:18, time (data): 0.511 (0.000)] l1_latent_opt: 7.8471e-01 fft_latent_opt: 6.1841e-01 +2025-10-30 03:01:11,052 INFO: [28..][epoch: 6, step: 83,000, lr:(1.000e-04,)] [eta: 6:19:22, time (data): 0.510 (0.000)] l1_latent_opt: 7.8613e-01 fft_latent_opt: 6.2313e-01 +2025-10-30 03:02:02,033 INFO: [28..][epoch: 6, step: 83,100, lr:(1.000e-04,)] [eta: 6:18:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8252e-01 fft_latent_opt: 6.1947e-01 +2025-10-30 03:02:52,998 INFO: [28..][epoch: 6, step: 83,200, lr:(1.000e-04,)] [eta: 6:17:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.9949e-01 fft_latent_opt: 6.2356e-01 +2025-10-30 03:03:43,966 INFO: [28..][epoch: 6, step: 83,300, lr:(1.000e-04,)] [eta: 6:16:35, time (data): 0.510 (0.000)] l1_latent_opt: 7.8052e-01 fft_latent_opt: 6.2090e-01 +2025-10-30 03:04:34,933 INFO: [28..][epoch: 6, step: 83,400, lr:(1.000e-04,)] [eta: 6:15:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.8459e-01 fft_latent_opt: 6.2007e-01 +2025-10-30 03:05:25,939 INFO: [28..][epoch: 6, step: 83,500, lr:(1.000e-04,)] [eta: 6:14:43, time (data): 0.510 (0.000)] l1_latent_opt: 7.8585e-01 fft_latent_opt: 6.2095e-01 +2025-10-30 03:06:16,916 INFO: [28..][epoch: 6, step: 83,600, lr:(1.000e-04,)] [eta: 6:13:47, time (data): 0.510 (0.000)] l1_latent_opt: 7.8713e-01 fft_latent_opt: 6.2210e-01 +2025-10-30 03:07:08,168 INFO: [28..][epoch: 6, step: 83,700, lr:(1.000e-04,)] [eta: 6:12:52, time (data): 0.512 (0.000)] l1_latent_opt: 7.8107e-01 fft_latent_opt: 6.1637e-01 +2025-10-30 03:07:59,150 INFO: [28..][epoch: 6, step: 83,800, lr:(1.000e-04,)] [eta: 6:11:56, time (data): 0.511 (0.000)] l1_latent_opt: 7.8684e-01 fft_latent_opt: 6.2045e-01 +2025-10-30 03:08:50,191 INFO: [28..][epoch: 6, step: 83,900, lr:(1.000e-04,)] [eta: 6:11:00, time (data): 0.510 (0.000)] l1_latent_opt: 7.9032e-01 fft_latent_opt: 6.2362e-01 +2025-10-30 03:09:41,181 INFO: [28..][epoch: 6, step: 84,000, lr:(1.000e-04,)] [eta: 6:10:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.8108e-01 fft_latent_opt: 6.1830e-01 +2025-10-30 03:10:32,230 INFO: [28..][epoch: 6, step: 84,100, lr:(1.000e-04,)] [eta: 6:09:09, time (data): 0.510 (0.000)] l1_latent_opt: 7.8855e-01 fft_latent_opt: 6.2173e-01 +2025-10-30 03:11:23,194 INFO: [28..][epoch: 6, step: 84,200, lr:(1.000e-04,)] [eta: 6:08:13, time (data): 0.510 (0.000)] l1_latent_opt: 7.8485e-01 fft_latent_opt: 6.2408e-01 +2025-10-30 03:12:14,250 INFO: [28..][epoch: 6, step: 84,300, lr:(1.000e-04,)] [eta: 6:07:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.8931e-01 fft_latent_opt: 6.1772e-01 +2025-10-30 03:13:05,217 INFO: [28..][epoch: 6, step: 84,400, lr:(1.000e-04,)] [eta: 6:06:22, time (data): 0.510 (0.000)] l1_latent_opt: 7.8197e-01 fft_latent_opt: 6.1461e-01 +2025-10-30 03:13:56,192 INFO: [28..][epoch: 6, step: 84,500, lr:(1.000e-04,)] [eta: 6:05:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.9333e-01 fft_latent_opt: 6.2289e-01 +2025-10-30 03:14:47,132 INFO: [28..][epoch: 6, step: 84,600, lr:(1.000e-04,)] [eta: 6:04:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.9126e-01 fft_latent_opt: 6.2158e-01 +2025-10-30 03:15:38,080 INFO: [28..][epoch: 6, step: 84,700, lr:(1.000e-04,)] [eta: 6:03:35, time (data): 0.509 (0.000)] l1_latent_opt: 7.8595e-01 fft_latent_opt: 6.2188e-01 +2025-10-30 03:16:29,044 INFO: [28..][epoch: 6, step: 84,800, lr:(1.000e-04,)] [eta: 6:02:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.8234e-01 fft_latent_opt: 6.1993e-01 +2025-10-30 03:17:20,034 INFO: [28..][epoch: 6, step: 84,900, lr:(1.000e-04,)] [eta: 6:01:44, time (data): 0.510 (0.000)] l1_latent_opt: 7.8549e-01 fft_latent_opt: 6.2268e-01 +2025-10-30 03:18:11,027 INFO: [28..][epoch: 6, step: 85,000, lr:(1.000e-04,)] [eta: 6:00:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.9413e-01 fft_latent_opt: 6.2543e-01 +2025-10-30 03:18:11,028 INFO: Saving models and training states. +2025-10-30 03:20:18,415 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8806 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2671 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4487 Best: 26.4639 @ 70000 iter + +2025-10-30 03:21:09,545 INFO: [28..][epoch: 6, step: 85,100, lr:(1.000e-04,)] [eta: 6:00:52, time (data): 0.511 (0.000)] l1_latent_opt: 7.8622e-01 fft_latent_opt: 6.2324e-01 +2025-10-30 03:22:00,702 INFO: [28..][epoch: 6, step: 85,200, lr:(1.000e-04,)] [eta: 5:59:57, time (data): 0.511 (0.000)] l1_latent_opt: 7.8732e-01 fft_latent_opt: 6.2186e-01 +2025-10-30 03:22:51,676 INFO: [28..][epoch: 6, step: 85,300, lr:(1.000e-04,)] [eta: 5:59:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8970e-01 fft_latent_opt: 6.2293e-01 +2025-10-30 03:23:42,605 INFO: [28..][epoch: 6, step: 85,400, lr:(1.000e-04,)] [eta: 5:58:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.8574e-01 fft_latent_opt: 6.1351e-01 +2025-10-30 03:24:33,564 INFO: [28..][epoch: 6, step: 85,500, lr:(1.000e-04,)] [eta: 5:57:09, time (data): 0.510 (0.000)] l1_latent_opt: 7.8397e-01 fft_latent_opt: 6.2230e-01 +2025-10-30 03:25:24,521 INFO: [28..][epoch: 6, step: 85,600, lr:(1.000e-04,)] [eta: 5:56:13, time (data): 0.510 (0.000)] l1_latent_opt: 7.8976e-01 fft_latent_opt: 6.2273e-01 +2025-10-30 03:26:15,553 INFO: [28..][epoch: 6, step: 85,700, lr:(1.000e-04,)] [eta: 5:55:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.7901e-01 fft_latent_opt: 6.2184e-01 +2025-10-30 03:27:06,669 INFO: [28..][epoch: 6, step: 85,800, lr:(1.000e-04,)] [eta: 5:54:22, time (data): 0.511 (0.000)] l1_latent_opt: 7.8332e-01 fft_latent_opt: 6.2024e-01 +2025-10-30 03:27:57,978 INFO: [28..][epoch: 6, step: 85,900, lr:(1.000e-04,)] [eta: 5:53:26, time (data): 0.513 (0.000)] l1_latent_opt: 7.7163e-01 fft_latent_opt: 6.1150e-01 +2025-10-30 03:28:49,373 INFO: [28..][epoch: 6, step: 86,000, lr:(1.000e-04,)] [eta: 5:52:31, time (data): 0.514 (0.000)] l1_latent_opt: 7.9584e-01 fft_latent_opt: 6.2189e-01 +2025-10-30 03:29:40,373 INFO: [28..][epoch: 6, step: 86,100, lr:(1.000e-04,)] [eta: 5:51:35, time (data): 0.510 (0.000)] l1_latent_opt: 7.8873e-01 fft_latent_opt: 6.2379e-01 +2025-10-30 03:30:31,382 INFO: [28..][epoch: 6, step: 86,200, lr:(1.000e-04,)] [eta: 5:50:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.7207e-01 fft_latent_opt: 6.0686e-01 +2025-10-30 03:31:22,744 INFO: [28..][epoch: 6, step: 86,300, lr:(1.000e-04,)] [eta: 5:49:44, time (data): 0.510 (0.000)] l1_latent_opt: 7.7551e-01 fft_latent_opt: 6.1413e-01 +2025-10-30 03:32:13,727 INFO: [28..][epoch: 6, step: 86,400, lr:(1.000e-04,)] [eta: 5:48:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.8248e-01 fft_latent_opt: 6.1978e-01 +2025-10-30 03:33:04,668 INFO: [28..][epoch: 6, step: 86,500, lr:(1.000e-04,)] [eta: 5:47:53, time (data): 0.509 (0.000)] l1_latent_opt: 7.9186e-01 fft_latent_opt: 6.2023e-01 +2025-10-30 03:33:55,633 INFO: [28..][epoch: 6, step: 86,600, lr:(1.000e-04,)] [eta: 5:46:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.8333e-01 fft_latent_opt: 6.1961e-01 +2025-10-30 03:34:46,572 INFO: [28..][epoch: 6, step: 86,700, lr:(1.000e-04,)] [eta: 5:46:01, time (data): 0.509 (0.000)] l1_latent_opt: 7.8870e-01 fft_latent_opt: 6.1806e-01 +2025-10-30 03:35:37,512 INFO: [28..][epoch: 6, step: 86,800, lr:(1.000e-04,)] [eta: 5:45:06, time (data): 0.509 (0.000)] l1_latent_opt: 7.8867e-01 fft_latent_opt: 6.2078e-01 +2025-10-30 03:36:28,575 INFO: [28..][epoch: 6, step: 86,900, lr:(1.000e-04,)] [eta: 5:44:10, time (data): 0.510 (0.000)] l1_latent_opt: 7.8816e-01 fft_latent_opt: 6.2431e-01 +2025-10-30 03:37:19,524 INFO: [28..][epoch: 6, step: 87,000, lr:(1.000e-04,)] [eta: 5:43:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.8482e-01 fft_latent_opt: 6.2431e-01 +2025-10-30 03:38:10,450 INFO: [28..][epoch: 6, step: 87,100, lr:(1.000e-04,)] [eta: 5:42:19, time (data): 0.509 (0.000)] l1_latent_opt: 7.8655e-01 fft_latent_opt: 6.2095e-01 +2025-10-30 03:39:01,400 INFO: [28..][epoch: 6, step: 87,200, lr:(1.000e-04,)] [eta: 5:41:23, time (data): 0.509 (0.000)] l1_latent_opt: 7.8318e-01 fft_latent_opt: 6.2222e-01 +2025-10-30 03:39:52,606 INFO: [28..][epoch: 6, step: 87,300, lr:(1.000e-04,)] [eta: 5:40:28, time (data): 0.512 (0.000)] l1_latent_opt: 7.8484e-01 fft_latent_opt: 6.2317e-01 +2025-10-30 03:40:43,563 INFO: [28..][epoch: 6, step: 87,400, lr:(1.000e-04,)] [eta: 5:39:32, time (data): 0.511 (0.000)] l1_latent_opt: 7.8564e-01 fft_latent_opt: 6.1802e-01 +2025-10-30 03:41:34,485 INFO: [28..][epoch: 6, step: 87,500, lr:(1.000e-04,)] [eta: 5:38:37, time (data): 0.509 (0.000)] l1_latent_opt: 7.8082e-01 fft_latent_opt: 6.1849e-01 +2025-10-30 03:42:25,525 INFO: [28..][epoch: 6, step: 87,600, lr:(1.000e-04,)] [eta: 5:37:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.8514e-01 fft_latent_opt: 6.1694e-01 +2025-10-30 03:43:16,462 INFO: [28..][epoch: 6, step: 87,700, lr:(1.000e-04,)] [eta: 5:36:46, time (data): 0.509 (0.000)] l1_latent_opt: 7.7721e-01 fft_latent_opt: 6.1725e-01 +2025-10-30 03:44:07,408 INFO: [28..][epoch: 6, step: 87,800, lr:(1.000e-04,)] [eta: 5:35:50, time (data): 0.509 (0.000)] l1_latent_opt: 7.7172e-01 fft_latent_opt: 6.1209e-01 +2025-10-30 03:44:58,412 INFO: [28..][epoch: 6, step: 87,900, lr:(1.000e-04,)] [eta: 5:34:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.9024e-01 fft_latent_opt: 6.2431e-01 +2025-10-30 03:45:49,408 INFO: [28..][epoch: 6, step: 88,000, lr:(1.000e-04,)] [eta: 5:33:59, time (data): 0.510 (0.000)] l1_latent_opt: 7.8430e-01 fft_latent_opt: 6.1737e-01 +2025-10-30 03:46:40,516 INFO: [28..][epoch: 6, step: 88,100, lr:(1.000e-04,)] [eta: 5:33:04, time (data): 0.511 (0.000)] l1_latent_opt: 7.8602e-01 fft_latent_opt: 6.2029e-01 +2025-10-30 03:47:31,453 INFO: [28..][epoch: 6, step: 88,200, lr:(1.000e-04,)] [eta: 5:32:08, time (data): 0.510 (0.000)] l1_latent_opt: 7.8379e-01 fft_latent_opt: 6.2384e-01 +2025-10-30 03:48:22,550 INFO: [28..][epoch: 6, step: 88,300, lr:(1.000e-04,)] [eta: 5:31:13, time (data): 0.512 (0.000)] l1_latent_opt: 7.8918e-01 fft_latent_opt: 6.2035e-01 +2025-10-30 03:49:13,474 INFO: [28..][epoch: 6, step: 88,400, lr:(1.000e-04,)] [eta: 5:30:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.7449e-01 fft_latent_opt: 6.1480e-01 +2025-10-30 03:50:04,736 INFO: [28..][epoch: 6, step: 88,500, lr:(1.000e-04,)] [eta: 5:29:22, time (data): 0.513 (0.000)] l1_latent_opt: 7.8741e-01 fft_latent_opt: 6.2128e-01 +2025-10-30 03:50:57,744 INFO: [28..][epoch: 7, step: 88,600, lr:(1.000e-04,)] [eta: 5:28:27, time (data): 0.524 (0.012)] l1_latent_opt: 7.8689e-01 fft_latent_opt: 6.1615e-01 +2025-10-30 03:51:48,627 INFO: [28..][epoch: 7, step: 88,700, lr:(1.000e-04,)] [eta: 5:27:32, time (data): 0.509 (0.000)] l1_latent_opt: 7.8506e-01 fft_latent_opt: 6.2191e-01 +2025-10-30 03:52:39,521 INFO: [28..][epoch: 7, step: 88,800, lr:(1.000e-04,)] [eta: 5:26:36, time (data): 0.509 (0.000)] l1_latent_opt: 7.8633e-01 fft_latent_opt: 6.2136e-01 +2025-10-30 03:53:30,543 INFO: [28..][epoch: 7, step: 88,900, lr:(1.000e-04,)] [eta: 5:25:41, time (data): 0.509 (0.000)] l1_latent_opt: 7.8961e-01 fft_latent_opt: 6.2252e-01 +2025-10-30 03:54:21,464 INFO: [28..][epoch: 7, step: 89,000, lr:(1.000e-04,)] [eta: 5:24:45, time (data): 0.509 (0.000)] l1_latent_opt: 7.9159e-01 fft_latent_opt: 6.2358e-01 +2025-10-30 03:55:12,477 INFO: [28..][epoch: 7, step: 89,100, lr:(1.000e-04,)] [eta: 5:23:50, time (data): 0.509 (0.000)] l1_latent_opt: 7.8580e-01 fft_latent_opt: 6.2325e-01 +2025-10-30 03:56:03,407 INFO: [28..][epoch: 7, step: 89,200, lr:(1.000e-04,)] [eta: 5:22:55, time (data): 0.509 (0.000)] l1_latent_opt: 7.8619e-01 fft_latent_opt: 6.2057e-01 +2025-10-30 03:56:54,332 INFO: [28..][epoch: 7, step: 89,300, lr:(1.000e-04,)] [eta: 5:21:59, time (data): 0.509 (0.000)] l1_latent_opt: 7.8954e-01 fft_latent_opt: 6.2451e-01 +2025-10-30 03:57:45,383 INFO: [28..][epoch: 7, step: 89,400, lr:(1.000e-04,)] [eta: 5:21:04, time (data): 0.510 (0.000)] l1_latent_opt: 7.8626e-01 fft_latent_opt: 6.2093e-01 +2025-10-30 03:58:36,371 INFO: [28..][epoch: 7, step: 89,500, lr:(1.000e-04,)] [eta: 5:20:08, time (data): 0.509 (0.000)] l1_latent_opt: 7.8056e-01 fft_latent_opt: 6.1787e-01 +2025-10-30 03:59:27,282 INFO: [28..][epoch: 7, step: 89,600, lr:(1.000e-04,)] [eta: 5:19:13, time (data): 0.509 (0.000)] l1_latent_opt: 7.8686e-01 fft_latent_opt: 6.1988e-01 +2025-10-30 04:00:18,176 INFO: [28..][epoch: 7, step: 89,700, lr:(1.000e-04,)] [eta: 5:18:18, time (data): 0.509 (0.000)] l1_latent_opt: 7.9062e-01 fft_latent_opt: 6.1988e-01 +2025-10-30 04:01:09,080 INFO: [28..][epoch: 7, step: 89,800, lr:(1.000e-04,)] [eta: 5:17:22, time (data): 0.509 (0.000)] l1_latent_opt: 7.7940e-01 fft_latent_opt: 6.2079e-01 +2025-10-30 04:02:00,244 INFO: [28..][epoch: 7, step: 89,900, lr:(1.000e-04,)] [eta: 5:16:27, time (data): 0.511 (0.000)] l1_latent_opt: 7.8854e-01 fft_latent_opt: 6.1819e-01 +2025-10-30 04:02:51,171 INFO: [28..][epoch: 7, step: 90,000, lr:(1.000e-04,)] [eta: 5:15:32, time (data): 0.510 (0.000)] l1_latent_opt: 7.8483e-01 fft_latent_opt: 6.2247e-01 +2025-10-30 04:02:51,172 INFO: Saving models and training states. +2025-10-30 04:05:47,767 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8813 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2688 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4481 Best: 26.4639 @ 70000 iter + +2025-10-30 04:06:38,804 INFO: [28..][epoch: 7, step: 90,100, lr:(1.000e-04,)] [eta: 5:15:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.9205e-01 fft_latent_opt: 6.2738e-01 +2025-10-30 04:07:29,772 INFO: [28..][epoch: 7, step: 90,200, lr:(1.000e-04,)] [eta: 5:14:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.8736e-01 fft_latent_opt: 6.2088e-01 +2025-10-30 04:08:20,757 INFO: [28..][epoch: 7, step: 90,300, lr:(1.000e-04,)] [eta: 5:13:54, time (data): 0.510 (0.000)] l1_latent_opt: 7.8814e-01 fft_latent_opt: 6.2574e-01 +2025-10-30 04:09:11,739 INFO: [28..][epoch: 7, step: 90,400, lr:(1.000e-04,)] [eta: 5:12:58, time (data): 0.510 (0.000)] l1_latent_opt: 7.8918e-01 fft_latent_opt: 6.2728e-01 +2025-10-30 04:10:02,924 INFO: [28..][epoch: 7, step: 90,500, lr:(1.000e-04,)] [eta: 5:12:03, time (data): 0.514 (0.000)] l1_latent_opt: 7.7565e-01 fft_latent_opt: 6.1527e-01 +2025-10-30 04:10:53,980 INFO: [28..][epoch: 7, step: 90,600, lr:(1.000e-04,)] [eta: 5:11:07, time (data): 0.512 (0.000)] l1_latent_opt: 7.8503e-01 fft_latent_opt: 6.1911e-01 +2025-10-30 04:11:45,046 INFO: [28..][epoch: 7, step: 90,700, lr:(1.000e-04,)] [eta: 5:10:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.9051e-01 fft_latent_opt: 6.2345e-01 +2025-10-30 04:12:36,049 INFO: [28..][epoch: 7, step: 90,800, lr:(1.000e-04,)] [eta: 5:09:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.9257e-01 fft_latent_opt: 6.2493e-01 +2025-10-30 04:13:27,028 INFO: [28..][epoch: 7, step: 90,900, lr:(1.000e-04,)] [eta: 5:08:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.8441e-01 fft_latent_opt: 6.2407e-01 +2025-10-30 04:14:18,010 INFO: [28..][epoch: 7, step: 91,000, lr:(1.000e-04,)] [eta: 5:07:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.8953e-01 fft_latent_opt: 6.2098e-01 +2025-10-30 04:15:08,980 INFO: [28..][epoch: 7, step: 91,100, lr:(1.000e-04,)] [eta: 5:06:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.7561e-01 fft_latent_opt: 6.1733e-01 +2025-10-30 04:16:00,086 INFO: [28..][epoch: 7, step: 91,200, lr:(1.000e-04,)] [eta: 5:05:34, time (data): 0.511 (0.000)] l1_latent_opt: 7.7979e-01 fft_latent_opt: 6.1770e-01 +2025-10-30 04:16:51,061 INFO: [28..][epoch: 7, step: 91,300, lr:(1.000e-04,)] [eta: 5:04:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.9582e-01 fft_latent_opt: 6.2830e-01 +2025-10-30 04:17:42,044 INFO: [28..][epoch: 7, step: 91,400, lr:(1.000e-04,)] [eta: 5:03:44, time (data): 0.510 (0.000)] l1_latent_opt: 7.9147e-01 fft_latent_opt: 6.2787e-01 +2025-10-30 04:18:33,027 INFO: [28..][epoch: 7, step: 91,500, lr:(1.000e-04,)] [eta: 5:02:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.9088e-01 fft_latent_opt: 6.2495e-01 +2025-10-30 04:19:24,006 INFO: [28..][epoch: 7, step: 91,600, lr:(1.000e-04,)] [eta: 5:01:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.8124e-01 fft_latent_opt: 6.1677e-01 +2025-10-30 04:20:14,981 INFO: [28..][epoch: 7, step: 91,700, lr:(1.000e-04,)] [eta: 5:00:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.8683e-01 fft_latent_opt: 6.2130e-01 +2025-10-30 04:21:05,971 INFO: [28..][epoch: 7, step: 91,800, lr:(1.000e-04,)] [eta: 5:00:02, time (data): 0.510 (0.000)] l1_latent_opt: 7.8612e-01 fft_latent_opt: 6.1842e-01 +2025-10-30 04:21:56,983 INFO: [28..][epoch: 7, step: 91,900, lr:(1.000e-04,)] [eta: 4:59:07, time (data): 0.511 (0.000)] l1_latent_opt: 7.9434e-01 fft_latent_opt: 6.2653e-01 +2025-10-30 04:22:48,067 INFO: [28..][epoch: 7, step: 92,000, lr:(1.000e-04,)] [eta: 4:58:11, time (data): 0.511 (0.000)] l1_latent_opt: 7.7669e-01 fft_latent_opt: 6.1331e-01 +2025-10-30 04:23:39,078 INFO: [28..][epoch: 7, step: 92,100, lr:(1.000e-04,)] [eta: 4:57:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.8263e-01 fft_latent_opt: 6.1407e-01 +2025-10-30 04:24:30,091 INFO: [28..][epoch: 7, step: 92,200, lr:(1.000e-04,)] [eta: 4:56:20, time (data): 0.510 (0.000)] l1_latent_opt: 7.9103e-01 fft_latent_opt: 6.2268e-01 +2025-10-30 04:25:21,101 INFO: [28..][epoch: 7, step: 92,300, lr:(1.000e-04,)] [eta: 4:55:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.7806e-01 fft_latent_opt: 6.1853e-01 +2025-10-30 04:26:12,116 INFO: [28..][epoch: 7, step: 92,400, lr:(1.000e-04,)] [eta: 4:54:30, time (data): 0.510 (0.000)] l1_latent_opt: 7.9809e-01 fft_latent_opt: 6.2891e-01 +2025-10-30 04:27:03,155 INFO: [28..][epoch: 7, step: 92,500, lr:(1.000e-04,)] [eta: 4:53:34, time (data): 0.511 (0.000)] l1_latent_opt: 7.8358e-01 fft_latent_opt: 6.1913e-01 +2025-10-30 04:27:54,175 INFO: [28..][epoch: 7, step: 92,600, lr:(1.000e-04,)] [eta: 4:52:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.8930e-01 fft_latent_opt: 6.2426e-01 +2025-10-30 04:28:45,202 INFO: [28..][epoch: 7, step: 92,700, lr:(1.000e-04,)] [eta: 4:51:44, time (data): 0.510 (0.000)] l1_latent_opt: 7.8318e-01 fft_latent_opt: 6.1904e-01 +2025-10-30 04:29:36,236 INFO: [28..][epoch: 7, step: 92,800, lr:(1.000e-04,)] [eta: 4:50:49, time (data): 0.510 (0.000)] l1_latent_opt: 7.8702e-01 fft_latent_opt: 6.2124e-01 +2025-10-30 04:30:27,284 INFO: [28..][epoch: 7, step: 92,900, lr:(1.000e-04,)] [eta: 4:49:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.8563e-01 fft_latent_opt: 6.1913e-01 +2025-10-30 04:31:18,308 INFO: [28..][epoch: 7, step: 93,000, lr:(1.000e-04,)] [eta: 4:48:58, time (data): 0.510 (0.000)] l1_latent_opt: 7.8295e-01 fft_latent_opt: 6.1814e-01 +2025-10-30 04:32:09,374 INFO: [28..][epoch: 7, step: 93,100, lr:(1.000e-04,)] [eta: 4:48:03, time (data): 0.511 (0.000)] l1_latent_opt: 7.8624e-01 fft_latent_opt: 6.1836e-01 +2025-10-30 04:33:00,517 INFO: [28..][epoch: 7, step: 93,200, lr:(1.000e-04,)] [eta: 4:47:08, time (data): 0.511 (0.000)] l1_latent_opt: 7.7543e-01 fft_latent_opt: 6.1038e-01 +2025-10-30 04:33:51,534 INFO: [28..][epoch: 7, step: 93,300, lr:(1.000e-04,)] [eta: 4:46:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.8391e-01 fft_latent_opt: 6.2339e-01 +2025-10-30 04:34:42,567 INFO: [28..][epoch: 7, step: 93,400, lr:(1.000e-04,)] [eta: 4:45:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.8027e-01 fft_latent_opt: 6.1559e-01 +2025-10-30 04:35:33,656 INFO: [28..][epoch: 7, step: 93,500, lr:(1.000e-04,)] [eta: 4:44:22, time (data): 0.512 (0.000)] l1_latent_opt: 7.8309e-01 fft_latent_opt: 6.2219e-01 +2025-10-30 04:36:24,706 INFO: [28..][epoch: 7, step: 93,600, lr:(1.000e-04,)] [eta: 4:43:27, time (data): 0.511 (0.000)] l1_latent_opt: 7.7405e-01 fft_latent_opt: 6.1385e-01 +2025-10-30 04:37:15,747 INFO: [28..][epoch: 7, step: 93,700, lr:(1.000e-04,)] [eta: 4:42:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.8382e-01 fft_latent_opt: 6.1979e-01 +2025-10-30 04:38:06,821 INFO: [28..][epoch: 7, step: 93,800, lr:(5.000e-05,)] [eta: 4:41:36, time (data): 0.511 (0.000)] l1_latent_opt: 7.9091e-01 fft_latent_opt: 6.2165e-01 +2025-10-30 04:38:57,891 INFO: [28..][epoch: 7, step: 93,900, lr:(5.000e-05,)] [eta: 4:40:41, time (data): 0.511 (0.000)] l1_latent_opt: 7.8138e-01 fft_latent_opt: 6.2062e-01 +2025-10-30 04:39:49,010 INFO: [28..][epoch: 7, step: 94,000, lr:(5.000e-05,)] [eta: 4:39:46, time (data): 0.511 (0.000)] l1_latent_opt: 7.8536e-01 fft_latent_opt: 6.1829e-01 +2025-10-30 04:40:40,537 INFO: [28..][epoch: 7, step: 94,100, lr:(5.000e-05,)] [eta: 4:38:51, time (data): 0.514 (0.000)] l1_latent_opt: 7.8179e-01 fft_latent_opt: 6.1546e-01 +2025-10-30 04:41:31,594 INFO: [28..][epoch: 7, step: 94,200, lr:(5.000e-05,)] [eta: 4:37:56, time (data): 0.511 (0.000)] l1_latent_opt: 7.7814e-01 fft_latent_opt: 6.1838e-01 +2025-10-30 04:42:22,598 INFO: [28..][epoch: 7, step: 94,300, lr:(5.000e-05,)] [eta: 4:37:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.7563e-01 fft_latent_opt: 6.1598e-01 +2025-10-30 04:43:13,648 INFO: [28..][epoch: 7, step: 94,400, lr:(5.000e-05,)] [eta: 4:36:05, time (data): 0.510 (0.000)] l1_latent_opt: 7.8680e-01 fft_latent_opt: 6.2317e-01 +2025-10-30 04:44:04,606 INFO: [28..][epoch: 7, step: 94,500, lr:(5.000e-05,)] [eta: 4:35:10, time (data): 0.510 (0.000)] l1_latent_opt: 7.8074e-01 fft_latent_opt: 6.1912e-01 +2025-10-30 04:44:55,564 INFO: [28..][epoch: 7, step: 94,600, lr:(5.000e-05,)] [eta: 4:34:15, time (data): 0.510 (0.000)] l1_latent_opt: 7.7693e-01 fft_latent_opt: 6.1575e-01 +2025-10-30 04:45:46,524 INFO: [28..][epoch: 7, step: 94,700, lr:(5.000e-05,)] [eta: 4:33:20, time (data): 0.510 (0.000)] l1_latent_opt: 7.8304e-01 fft_latent_opt: 6.1835e-01 +2025-10-30 04:46:37,475 INFO: [28..][epoch: 7, step: 94,800, lr:(5.000e-05,)] [eta: 4:32:25, time (data): 0.510 (0.000)] l1_latent_opt: 7.8307e-01 fft_latent_opt: 6.2086e-01 +2025-10-30 04:47:28,429 INFO: [28..][epoch: 7, step: 94,900, lr:(5.000e-05,)] [eta: 4:31:30, time (data): 0.509 (0.000)] l1_latent_opt: 7.8897e-01 fft_latent_opt: 6.2176e-01 +2025-10-30 04:48:19,376 INFO: [28..][epoch: 7, step: 95,000, lr:(5.000e-05,)] [eta: 4:30:35, time (data): 0.509 (0.000)] l1_latent_opt: 7.7903e-01 fft_latent_opt: 6.1567e-01 +2025-10-30 04:48:19,377 INFO: Saving models and training states. +2025-10-30 04:50:25,840 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8809 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2686 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4566 Best: 26.4639 @ 70000 iter + +2025-10-30 04:51:16,982 INFO: [28..][epoch: 7, step: 95,100, lr:(5.000e-05,)] [eta: 4:30:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.7776e-01 fft_latent_opt: 6.1639e-01 +2025-10-30 04:52:08,039 INFO: [28..][epoch: 7, step: 95,200, lr:(5.000e-05,)] [eta: 4:29:24, time (data): 0.511 (0.000)] l1_latent_opt: 7.7990e-01 fft_latent_opt: 6.1696e-01 +2025-10-30 04:52:59,761 INFO: [28..][epoch: 7, step: 95,300, lr:(5.000e-05,)] [eta: 4:28:29, time (data): 0.510 (0.000)] l1_latent_opt: 7.8543e-01 fft_latent_opt: 6.1977e-01 +2025-10-30 04:53:50,779 INFO: [28..][epoch: 7, step: 95,400, lr:(5.000e-05,)] [eta: 4:27:34, time (data): 0.510 (0.000)] l1_latent_opt: 7.8051e-01 fft_latent_opt: 6.1605e-01 +2025-10-30 04:54:41,896 INFO: [28..][epoch: 7, step: 95,500, lr:(5.000e-05,)] [eta: 4:26:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.7653e-01 fft_latent_opt: 6.1673e-01 +2025-10-30 04:55:32,985 INFO: [28..][epoch: 7, step: 95,600, lr:(5.000e-05,)] [eta: 4:25:43, time (data): 0.511 (0.000)] l1_latent_opt: 7.7906e-01 fft_latent_opt: 6.2010e-01 +2025-10-30 04:56:24,092 INFO: [28..][epoch: 7, step: 95,700, lr:(5.000e-05,)] [eta: 4:24:48, time (data): 0.514 (0.000)] l1_latent_opt: 7.9072e-01 fft_latent_opt: 6.2379e-01 +2025-10-30 04:57:15,090 INFO: [28..][epoch: 7, step: 95,800, lr:(5.000e-05,)] [eta: 4:23:53, time (data): 0.511 (0.000)] l1_latent_opt: 7.8968e-01 fft_latent_opt: 6.2455e-01 +2025-10-30 04:58:06,092 INFO: [28..][epoch: 7, step: 95,900, lr:(5.000e-05,)] [eta: 4:22:58, time (data): 0.510 (0.000)] l1_latent_opt: 7.7890e-01 fft_latent_opt: 6.1371e-01 +2025-10-30 04:58:57,098 INFO: [28..][epoch: 7, step: 96,000, lr:(5.000e-05,)] [eta: 4:22:03, time (data): 0.510 (0.000)] l1_latent_opt: 7.9377e-01 fft_latent_opt: 6.2744e-01 +2025-10-30 04:59:48,109 INFO: [28..][epoch: 7, step: 96,100, lr:(5.000e-05,)] [eta: 4:21:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.9049e-01 fft_latent_opt: 6.2552e-01 +2025-10-30 05:00:39,114 INFO: [28..][epoch: 7, step: 96,200, lr:(5.000e-05,)] [eta: 4:20:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.7969e-01 fft_latent_opt: 6.1988e-01 +2025-10-30 05:01:30,127 INFO: [28..][epoch: 7, step: 96,300, lr:(5.000e-05,)] [eta: 4:19:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.8609e-01 fft_latent_opt: 6.1984e-01 +2025-10-30 05:02:21,139 INFO: [28..][epoch: 7, step: 96,400, lr:(5.000e-05,)] [eta: 4:18:22, time (data): 0.510 (0.000)] l1_latent_opt: 7.8307e-01 fft_latent_opt: 6.1787e-01 +2025-10-30 05:03:12,155 INFO: [28..][epoch: 7, step: 96,500, lr:(5.000e-05,)] [eta: 4:17:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.8711e-01 fft_latent_opt: 6.2307e-01 +2025-10-30 05:04:03,167 INFO: [28..][epoch: 7, step: 96,600, lr:(5.000e-05,)] [eta: 4:16:32, time (data): 0.510 (0.000)] l1_latent_opt: 7.8924e-01 fft_latent_opt: 6.2393e-01 +2025-10-30 05:04:54,165 INFO: [28..][epoch: 7, step: 96,700, lr:(5.000e-05,)] [eta: 4:15:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.8033e-01 fft_latent_opt: 6.1898e-01 +2025-10-30 05:05:45,255 INFO: [28..][epoch: 7, step: 96,800, lr:(5.000e-05,)] [eta: 4:14:41, time (data): 0.511 (0.000)] l1_latent_opt: 7.7829e-01 fft_latent_opt: 6.1841e-01 +2025-10-30 05:06:36,356 INFO: [28..][epoch: 7, step: 96,900, lr:(5.000e-05,)] [eta: 4:13:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.7626e-01 fft_latent_opt: 6.1362e-01 +2025-10-30 05:07:27,326 INFO: [28..][epoch: 7, step: 97,000, lr:(5.000e-05,)] [eta: 4:12:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.7794e-01 fft_latent_opt: 6.1463e-01 +2025-10-30 05:08:18,377 INFO: [28..][epoch: 7, step: 97,100, lr:(5.000e-05,)] [eta: 4:11:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.6916e-01 fft_latent_opt: 6.1178e-01 +2025-10-30 05:09:09,366 INFO: [28..][epoch: 7, step: 97,200, lr:(5.000e-05,)] [eta: 4:11:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8323e-01 fft_latent_opt: 6.2069e-01 +2025-10-30 05:10:00,380 INFO: [28..][epoch: 7, step: 97,300, lr:(5.000e-05,)] [eta: 4:10:06, time (data): 0.510 (0.000)] l1_latent_opt: 7.7391e-01 fft_latent_opt: 6.1605e-01 +2025-10-30 05:10:51,386 INFO: [28..][epoch: 7, step: 97,400, lr:(5.000e-05,)] [eta: 4:09:11, time (data): 0.510 (0.000)] l1_latent_opt: 7.7997e-01 fft_latent_opt: 6.1891e-01 +2025-10-30 05:11:42,392 INFO: [28..][epoch: 7, step: 97,500, lr:(5.000e-05,)] [eta: 4:08:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.9021e-01 fft_latent_opt: 6.2221e-01 +2025-10-30 05:12:33,513 INFO: [28..][epoch: 7, step: 97,600, lr:(5.000e-05,)] [eta: 4:07:21, time (data): 0.511 (0.000)] l1_latent_opt: 7.7298e-01 fft_latent_opt: 6.1397e-01 +2025-10-30 05:13:24,564 INFO: [28..][epoch: 7, step: 97,700, lr:(5.000e-05,)] [eta: 4:06:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8626e-01 fft_latent_opt: 6.1817e-01 +2025-10-30 05:14:16,165 INFO: [28..][epoch: 7, step: 97,800, lr:(5.000e-05,)] [eta: 4:05:31, time (data): 0.515 (0.000)] l1_latent_opt: 7.7949e-01 fft_latent_opt: 6.1358e-01 +2025-10-30 05:15:07,231 INFO: [28..][epoch: 7, step: 97,900, lr:(5.000e-05,)] [eta: 4:04:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.6806e-01 fft_latent_opt: 6.1119e-01 +2025-10-30 05:15:58,227 INFO: [28..][epoch: 7, step: 98,000, lr:(5.000e-05,)] [eta: 4:03:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.8740e-01 fft_latent_opt: 6.1986e-01 +2025-10-30 05:16:49,300 INFO: [28..][epoch: 7, step: 98,100, lr:(5.000e-05,)] [eta: 4:02:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.8801e-01 fft_latent_opt: 6.2371e-01 +2025-10-30 05:17:40,303 INFO: [28..][epoch: 7, step: 98,200, lr:(5.000e-05,)] [eta: 4:01:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.8318e-01 fft_latent_opt: 6.2149e-01 +2025-10-30 05:18:31,329 INFO: [28..][epoch: 7, step: 98,300, lr:(5.000e-05,)] [eta: 4:00:56, time (data): 0.512 (0.000)] l1_latent_opt: 7.6773e-01 fft_latent_opt: 6.1177e-01 +2025-10-30 05:19:22,646 INFO: [28..][epoch: 7, step: 98,400, lr:(5.000e-05,)] [eta: 4:00:01, time (data): 0.513 (0.000)] l1_latent_opt: 7.8502e-01 fft_latent_opt: 6.2331e-01 +2025-10-30 05:20:14,130 INFO: [28..][epoch: 7, step: 98,500, lr:(5.000e-05,)] [eta: 3:59:06, time (data): 0.510 (0.000)] l1_latent_opt: 7.7966e-01 fft_latent_opt: 6.1886e-01 +2025-10-30 05:21:05,260 INFO: [28..][epoch: 7, step: 98,600, lr:(5.000e-05,)] [eta: 3:58:11, time (data): 0.511 (0.000)] l1_latent_opt: 7.9123e-01 fft_latent_opt: 6.2605e-01 +2025-10-30 05:21:56,235 INFO: [28..][epoch: 7, step: 98,700, lr:(5.000e-05,)] [eta: 3:57:16, time (data): 0.510 (0.000)] l1_latent_opt: 7.8376e-01 fft_latent_opt: 6.2069e-01 +2025-10-30 05:22:47,228 INFO: [28..][epoch: 7, step: 98,800, lr:(5.000e-05,)] [eta: 3:56:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.8412e-01 fft_latent_opt: 6.2040e-01 +2025-10-30 05:23:38,223 INFO: [28..][epoch: 7, step: 98,900, lr:(5.000e-05,)] [eta: 3:55:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8695e-01 fft_latent_opt: 6.1940e-01 +2025-10-30 05:24:29,770 INFO: [28..][epoch: 7, step: 99,000, lr:(5.000e-05,)] [eta: 3:54:31, time (data): 0.515 (0.000)] l1_latent_opt: 7.8117e-01 fft_latent_opt: 6.1889e-01 +2025-10-30 05:25:20,766 INFO: [28..][epoch: 7, step: 99,100, lr:(5.000e-05,)] [eta: 3:53:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.8356e-01 fft_latent_opt: 6.2176e-01 +2025-10-30 05:26:11,752 INFO: [28..][epoch: 7, step: 99,200, lr:(5.000e-05,)] [eta: 3:52:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.7331e-01 fft_latent_opt: 6.1090e-01 +2025-10-30 05:27:02,952 INFO: [28..][epoch: 7, step: 99,300, lr:(5.000e-05,)] [eta: 3:51:47, time (data): 0.513 (0.000)] l1_latent_opt: 7.8729e-01 fft_latent_opt: 6.2405e-01 +2025-10-30 05:27:54,262 INFO: [28..][epoch: 7, step: 99,400, lr:(5.000e-05,)] [eta: 3:50:52, time (data): 0.513 (0.000)] l1_latent_opt: 7.8483e-01 fft_latent_opt: 6.1805e-01 +2025-10-30 05:28:45,252 INFO: [28..][epoch: 7, step: 99,500, lr:(5.000e-05,)] [eta: 3:49:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.8316e-01 fft_latent_opt: 6.2245e-01 +2025-10-30 05:29:36,240 INFO: [28..][epoch: 7, step: 99,600, lr:(5.000e-05,)] [eta: 3:49:02, time (data): 0.510 (0.000)] l1_latent_opt: 7.7180e-01 fft_latent_opt: 6.1298e-01 +2025-10-30 05:30:27,287 INFO: [28..][epoch: 7, step: 99,700, lr:(5.000e-05,)] [eta: 3:48:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.7224e-01 fft_latent_opt: 6.1253e-01 +2025-10-30 05:31:18,270 INFO: [28..][epoch: 7, step: 99,800, lr:(5.000e-05,)] [eta: 3:47:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.8942e-01 fft_latent_opt: 6.2491e-01 +2025-10-30 05:32:09,250 INFO: [28..][epoch: 7, step: 99,900, lr:(5.000e-05,)] [eta: 3:46:17, time (data): 0.510 (0.000)] l1_latent_opt: 7.9024e-01 fft_latent_opt: 6.2259e-01 +2025-10-30 05:33:00,265 INFO: [28..][epoch: 7, step: 100,000, lr:(5.000e-05,)] [eta: 3:45:22, time (data): 0.510 (0.000)] l1_latent_opt: 7.8235e-01 fft_latent_opt: 6.1682e-01 +2025-10-30 05:33:00,265 INFO: Saving models and training states. +2025-10-30 05:35:55,175 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8805 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2684 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4780 Best: 26.4780 @ 100000 iter + +2025-10-30 05:36:46,433 INFO: [28..][epoch: 7, step: 100,100, lr:(5.000e-05,)] [eta: 3:45:11, time (data): 0.520 (0.000)] l1_latent_opt: 7.9250e-01 fft_latent_opt: 6.2533e-01 +2025-10-30 05:37:37,926 INFO: [28..][epoch: 7, step: 100,200, lr:(5.000e-05,)] [eta: 3:44:16, time (data): 0.515 (0.000)] l1_latent_opt: 7.8798e-01 fft_latent_opt: 6.2086e-01 +2025-10-30 05:38:29,084 INFO: [28..][epoch: 7, step: 100,300, lr:(5.000e-05,)] [eta: 3:43:21, time (data): 0.510 (0.000)] l1_latent_opt: 7.8108e-01 fft_latent_opt: 6.2060e-01 +2025-10-30 05:39:20,117 INFO: [28..][epoch: 7, step: 100,400, lr:(5.000e-05,)] [eta: 3:42:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.9113e-01 fft_latent_opt: 6.2294e-01 +2025-10-30 05:40:11,128 INFO: [28..][epoch: 7, step: 100,500, lr:(5.000e-05,)] [eta: 3:41:31, time (data): 0.510 (0.000)] l1_latent_opt: 7.7317e-01 fft_latent_opt: 6.1429e-01 +2025-10-30 05:41:02,125 INFO: [28..][epoch: 7, step: 100,600, lr:(5.000e-05,)] [eta: 3:40:36, time (data): 0.510 (0.000)] l1_latent_opt: 7.7805e-01 fft_latent_opt: 6.1641e-01 +2025-10-30 05:41:53,111 INFO: [28..][epoch: 7, step: 100,700, lr:(5.000e-05,)] [eta: 3:39:41, time (data): 0.510 (0.000)] l1_latent_opt: 7.9478e-01 fft_latent_opt: 6.2383e-01 +2025-10-30 05:42:44,266 INFO: [28..][epoch: 7, step: 100,800, lr:(5.000e-05,)] [eta: 3:38:46, time (data): 0.512 (0.000)] l1_latent_opt: 7.8369e-01 fft_latent_opt: 6.1894e-01 +2025-10-30 05:43:35,352 INFO: [28..][epoch: 7, step: 100,900, lr:(5.000e-05,)] [eta: 3:37:51, time (data): 0.511 (0.000)] l1_latent_opt: 7.6911e-01 fft_latent_opt: 6.0982e-01 +2025-10-30 05:44:26,354 INFO: [28..][epoch: 7, step: 101,000, lr:(5.000e-05,)] [eta: 3:36:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.9023e-01 fft_latent_opt: 6.2292e-01 +2025-10-30 05:45:17,329 INFO: [28..][epoch: 7, step: 101,100, lr:(5.000e-05,)] [eta: 3:36:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8987e-01 fft_latent_opt: 6.2105e-01 +2025-10-30 05:46:08,395 INFO: [28..][epoch: 7, step: 101,200, lr:(5.000e-05,)] [eta: 3:35:06, time (data): 0.511 (0.001)] l1_latent_opt: 7.9500e-01 fft_latent_opt: 6.2507e-01 +2025-10-30 05:47:01,560 INFO: [28..][epoch: 8, step: 101,300, lr:(5.000e-05,)] [eta: 3:34:11, time (data): 0.521 (0.012)] l1_latent_opt: 7.8116e-01 fft_latent_opt: 6.1757e-01 +2025-10-30 05:47:52,512 INFO: [28..][epoch: 8, step: 101,400, lr:(5.000e-05,)] [eta: 3:33:16, time (data): 0.509 (0.000)] l1_latent_opt: 7.8549e-01 fft_latent_opt: 6.2023e-01 +2025-10-30 05:48:43,441 INFO: [28..][epoch: 8, step: 101,500, lr:(5.000e-05,)] [eta: 3:32:21, time (data): 0.509 (0.000)] l1_latent_opt: 7.8216e-01 fft_latent_opt: 6.1876e-01 +2025-10-30 05:49:34,414 INFO: [28..][epoch: 8, step: 101,600, lr:(5.000e-05,)] [eta: 3:31:26, time (data): 0.510 (0.000)] l1_latent_opt: 7.8241e-01 fft_latent_opt: 6.1746e-01 +2025-10-30 05:50:25,362 INFO: [28..][epoch: 8, step: 101,700, lr:(5.000e-05,)] [eta: 3:30:32, time (data): 0.510 (0.000)] l1_latent_opt: 7.8069e-01 fft_latent_opt: 6.2247e-01 +2025-10-30 05:51:16,280 INFO: [28..][epoch: 8, step: 101,800, lr:(5.000e-05,)] [eta: 3:29:37, time (data): 0.509 (0.000)] l1_latent_opt: 7.7699e-01 fft_latent_opt: 6.1725e-01 +2025-10-30 05:52:07,211 INFO: [28..][epoch: 8, step: 101,900, lr:(5.000e-05,)] [eta: 3:28:42, time (data): 0.509 (0.000)] l1_latent_opt: 7.8162e-01 fft_latent_opt: 6.1802e-01 +2025-10-30 05:52:58,117 INFO: [28..][epoch: 8, step: 102,000, lr:(5.000e-05,)] [eta: 3:27:47, time (data): 0.509 (0.000)] l1_latent_opt: 7.8167e-01 fft_latent_opt: 6.2016e-01 +2025-10-30 05:53:49,054 INFO: [28..][epoch: 8, step: 102,100, lr:(5.000e-05,)] [eta: 3:26:52, time (data): 0.509 (0.000)] l1_latent_opt: 7.7087e-01 fft_latent_opt: 6.1412e-01 +2025-10-30 05:54:40,001 INFO: [28..][epoch: 8, step: 102,200, lr:(5.000e-05,)] [eta: 3:25:57, time (data): 0.509 (0.000)] l1_latent_opt: 7.7718e-01 fft_latent_opt: 6.1506e-01 +2025-10-30 05:55:30,882 INFO: [28..][epoch: 8, step: 102,300, lr:(5.000e-05,)] [eta: 3:25:02, time (data): 0.509 (0.000)] l1_latent_opt: 7.8574e-01 fft_latent_opt: 6.2407e-01 +2025-10-30 05:56:21,763 INFO: [28..][epoch: 8, step: 102,400, lr:(5.000e-05,)] [eta: 3:24:07, time (data): 0.509 (0.000)] l1_latent_opt: 7.8418e-01 fft_latent_opt: 6.2066e-01 +2025-10-30 05:57:12,657 INFO: [28..][epoch: 8, step: 102,500, lr:(5.000e-05,)] [eta: 3:23:12, time (data): 0.509 (0.000)] l1_latent_opt: 7.8369e-01 fft_latent_opt: 6.1858e-01 +2025-10-30 05:58:03,560 INFO: [28..][epoch: 8, step: 102,600, lr:(5.000e-05,)] [eta: 3:22:17, time (data): 0.509 (0.000)] l1_latent_opt: 7.8343e-01 fft_latent_opt: 6.2188e-01 +2025-10-30 05:58:54,470 INFO: [28..][epoch: 8, step: 102,700, lr:(5.000e-05,)] [eta: 3:21:22, time (data): 0.509 (0.000)] l1_latent_opt: 7.8097e-01 fft_latent_opt: 6.1896e-01 +2025-10-30 05:59:45,381 INFO: [28..][epoch: 8, step: 102,800, lr:(5.000e-05,)] [eta: 3:20:27, time (data): 0.509 (0.000)] l1_latent_opt: 7.8136e-01 fft_latent_opt: 6.1842e-01 +2025-10-30 06:00:36,526 INFO: [28..][epoch: 8, step: 102,900, lr:(5.000e-05,)] [eta: 3:19:32, time (data): 0.510 (0.000)] l1_latent_opt: 7.8239e-01 fft_latent_opt: 6.2008e-01 +2025-10-30 06:01:27,468 INFO: [28..][epoch: 8, step: 103,000, lr:(5.000e-05,)] [eta: 3:18:38, time (data): 0.509 (0.000)] l1_latent_opt: 7.9287e-01 fft_latent_opt: 6.2477e-01 +2025-10-30 06:02:18,425 INFO: [28..][epoch: 8, step: 103,100, lr:(5.000e-05,)] [eta: 3:17:43, time (data): 0.509 (0.000)] l1_latent_opt: 7.7934e-01 fft_latent_opt: 6.1867e-01 +2025-10-30 06:03:09,387 INFO: [28..][epoch: 8, step: 103,200, lr:(5.000e-05,)] [eta: 3:16:48, time (data): 0.510 (0.000)] l1_latent_opt: 7.8241e-01 fft_latent_opt: 6.1883e-01 +2025-10-30 06:04:00,328 INFO: [28..][epoch: 8, step: 103,300, lr:(5.000e-05,)] [eta: 3:15:53, time (data): 0.510 (0.000)] l1_latent_opt: 7.8490e-01 fft_latent_opt: 6.2141e-01 +2025-10-30 06:04:51,449 INFO: [28..][epoch: 8, step: 103,400, lr:(5.000e-05,)] [eta: 3:14:58, time (data): 0.511 (0.000)] l1_latent_opt: 7.9691e-01 fft_latent_opt: 6.2815e-01 +2025-10-30 06:05:42,649 INFO: [28..][epoch: 8, step: 103,500, lr:(5.000e-05,)] [eta: 3:14:03, time (data): 0.512 (0.000)] l1_latent_opt: 7.8628e-01 fft_latent_opt: 6.2400e-01 +2025-10-30 06:06:33,716 INFO: [28..][epoch: 8, step: 103,600, lr:(5.000e-05,)] [eta: 3:13:09, time (data): 0.511 (0.000)] l1_latent_opt: 7.7865e-01 fft_latent_opt: 6.1568e-01 +2025-10-30 06:07:24,672 INFO: [28..][epoch: 8, step: 103,700, lr:(5.000e-05,)] [eta: 3:12:14, time (data): 0.510 (0.000)] l1_latent_opt: 7.7730e-01 fft_latent_opt: 6.1481e-01 +2025-10-30 06:08:15,630 INFO: [28..][epoch: 8, step: 103,800, lr:(5.000e-05,)] [eta: 3:11:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.8112e-01 fft_latent_opt: 6.2003e-01 +2025-10-30 06:09:06,590 INFO: [28..][epoch: 8, step: 103,900, lr:(5.000e-05,)] [eta: 3:10:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.7615e-01 fft_latent_opt: 6.1769e-01 +2025-10-30 06:09:57,555 INFO: [28..][epoch: 8, step: 104,000, lr:(5.000e-05,)] [eta: 3:09:29, time (data): 0.510 (0.000)] l1_latent_opt: 7.8378e-01 fft_latent_opt: 6.1983e-01 +2025-10-30 06:10:48,508 INFO: [28..][epoch: 8, step: 104,100, lr:(5.000e-05,)] [eta: 3:08:35, time (data): 0.510 (0.000)] l1_latent_opt: 7.7776e-01 fft_latent_opt: 6.1934e-01 +2025-10-30 06:11:39,460 INFO: [28..][epoch: 8, step: 104,200, lr:(5.000e-05,)] [eta: 3:07:40, time (data): 0.510 (0.000)] l1_latent_opt: 7.7820e-01 fft_latent_opt: 6.2116e-01 +2025-10-30 06:12:30,414 INFO: [28..][epoch: 8, step: 104,300, lr:(5.000e-05,)] [eta: 3:06:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.7945e-01 fft_latent_opt: 6.1839e-01 +2025-10-30 06:13:21,376 INFO: [28..][epoch: 8, step: 104,400, lr:(5.000e-05,)] [eta: 3:05:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.9148e-01 fft_latent_opt: 6.2430e-01 +2025-10-30 06:14:12,323 INFO: [28..][epoch: 8, step: 104,500, lr:(5.000e-05,)] [eta: 3:04:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.8663e-01 fft_latent_opt: 6.1941e-01 +2025-10-30 06:15:03,282 INFO: [28..][epoch: 8, step: 104,600, lr:(5.000e-05,)] [eta: 3:04:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.8581e-01 fft_latent_opt: 6.2130e-01 +2025-10-30 06:15:54,222 INFO: [28..][epoch: 8, step: 104,700, lr:(5.000e-05,)] [eta: 3:03:06, time (data): 0.509 (0.000)] l1_latent_opt: 7.8908e-01 fft_latent_opt: 6.2514e-01 +2025-10-30 06:16:45,174 INFO: [28..][epoch: 8, step: 104,800, lr:(5.000e-05,)] [eta: 3:02:11, time (data): 0.509 (0.000)] l1_latent_opt: 7.8407e-01 fft_latent_opt: 6.1641e-01 +2025-10-30 06:17:36,787 INFO: [28..][epoch: 8, step: 104,900, lr:(5.000e-05,)] [eta: 3:01:17, time (data): 0.513 (0.000)] l1_latent_opt: 7.7580e-01 fft_latent_opt: 6.1865e-01 +2025-10-30 06:18:27,559 INFO: [28..][epoch: 8, step: 105,000, lr:(5.000e-05,)] [eta: 3:00:22, time (data): 0.508 (0.000)] l1_latent_opt: 7.8862e-01 fft_latent_opt: 6.2005e-01 +2025-10-30 06:18:27,560 INFO: Saving models and training states. +2025-10-30 06:20:40,881 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8814 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2709 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4762 Best: 26.4780 @ 100000 iter + +2025-10-30 06:21:31,780 INFO: [28..][epoch: 8, step: 105,100, lr:(5.000e-05,)] [eta: 2:59:53, time (data): 0.508 (0.000)] l1_latent_opt: 7.8380e-01 fft_latent_opt: 6.2079e-01 +2025-10-30 06:22:22,575 INFO: [28..][epoch: 8, step: 105,200, lr:(5.000e-05,)] [eta: 2:58:58, time (data): 0.508 (0.000)] l1_latent_opt: 7.8336e-01 fft_latent_opt: 6.1940e-01 +2025-10-30 06:23:13,403 INFO: [28..][epoch: 8, step: 105,300, lr:(5.000e-05,)] [eta: 2:58:03, time (data): 0.508 (0.000)] l1_latent_opt: 7.8360e-01 fft_latent_opt: 6.2101e-01 +2025-10-30 06:24:04,516 INFO: [28..][epoch: 8, step: 105,400, lr:(5.000e-05,)] [eta: 2:57:08, time (data): 0.512 (0.000)] l1_latent_opt: 7.7485e-01 fft_latent_opt: 6.1436e-01 +2025-10-30 06:24:55,480 INFO: [28..][epoch: 8, step: 105,500, lr:(5.000e-05,)] [eta: 2:56:13, time (data): 0.511 (0.000)] l1_latent_opt: 7.7577e-01 fft_latent_opt: 6.1611e-01 +2025-10-30 06:25:46,255 INFO: [28..][epoch: 8, step: 105,600, lr:(5.000e-05,)] [eta: 2:55:18, time (data): 0.508 (0.000)] l1_latent_opt: 7.8341e-01 fft_latent_opt: 6.2329e-01 +2025-10-30 06:26:37,049 INFO: [28..][epoch: 8, step: 105,700, lr:(5.000e-05,)] [eta: 2:54:23, time (data): 0.508 (0.000)] l1_latent_opt: 7.7762e-01 fft_latent_opt: 6.1469e-01 +2025-10-30 06:27:27,842 INFO: [28..][epoch: 8, step: 105,800, lr:(5.000e-05,)] [eta: 2:53:29, time (data): 0.508 (0.000)] l1_latent_opt: 7.8137e-01 fft_latent_opt: 6.1804e-01 +2025-10-30 06:28:18,632 INFO: [28..][epoch: 8, step: 105,900, lr:(5.000e-05,)] [eta: 2:52:34, time (data): 0.508 (0.000)] l1_latent_opt: 7.8369e-01 fft_latent_opt: 6.2208e-01 +2025-10-30 06:29:09,475 INFO: [28..][epoch: 8, step: 106,000, lr:(5.000e-05,)] [eta: 2:51:39, time (data): 0.509 (0.000)] l1_latent_opt: 7.8444e-01 fft_latent_opt: 6.2060e-01 +2025-10-30 06:30:00,270 INFO: [28..][epoch: 8, step: 106,100, lr:(5.000e-05,)] [eta: 2:50:44, time (data): 0.508 (0.000)] l1_latent_opt: 7.8271e-01 fft_latent_opt: 6.2245e-01 +2025-10-30 06:30:51,071 INFO: [28..][epoch: 8, step: 106,200, lr:(5.000e-05,)] [eta: 2:49:49, time (data): 0.508 (0.000)] l1_latent_opt: 7.8472e-01 fft_latent_opt: 6.1892e-01 +2025-10-30 06:31:42,186 INFO: [28..][epoch: 8, step: 106,300, lr:(5.000e-05,)] [eta: 2:48:55, time (data): 0.510 (0.000)] l1_latent_opt: 7.7043e-01 fft_latent_opt: 6.1470e-01 +2025-10-30 06:32:32,961 INFO: [28..][epoch: 8, step: 106,400, lr:(5.000e-05,)] [eta: 2:48:00, time (data): 0.508 (0.000)] l1_latent_opt: 7.9459e-01 fft_latent_opt: 6.2687e-01 +2025-10-30 06:33:23,732 INFO: [28..][epoch: 8, step: 106,500, lr:(5.000e-05,)] [eta: 2:47:05, time (data): 0.508 (0.000)] l1_latent_opt: 7.8405e-01 fft_latent_opt: 6.1894e-01 +2025-10-30 06:34:14,489 INFO: [28..][epoch: 8, step: 106,600, lr:(5.000e-05,)] [eta: 2:46:10, time (data): 0.507 (0.000)] l1_latent_opt: 7.8991e-01 fft_latent_opt: 6.2404e-01 +2025-10-30 06:35:05,249 INFO: [28..][epoch: 8, step: 106,700, lr:(5.000e-05,)] [eta: 2:45:15, time (data): 0.508 (0.000)] l1_latent_opt: 7.7606e-01 fft_latent_opt: 6.1595e-01 +2025-10-30 06:35:56,057 INFO: [28..][epoch: 8, step: 106,800, lr:(5.000e-05,)] [eta: 2:44:21, time (data): 0.508 (0.000)] l1_latent_opt: 7.7380e-01 fft_latent_opt: 6.1466e-01 +2025-10-30 06:36:46,825 INFO: [28..][epoch: 8, step: 106,900, lr:(5.000e-05,)] [eta: 2:43:26, time (data): 0.508 (0.000)] l1_latent_opt: 7.8268e-01 fft_latent_opt: 6.2060e-01 +2025-10-30 06:37:37,581 INFO: [28..][epoch: 8, step: 107,000, lr:(5.000e-05,)] [eta: 2:42:31, time (data): 0.507 (0.000)] l1_latent_opt: 7.8193e-01 fft_latent_opt: 6.1513e-01 +2025-10-30 06:38:28,333 INFO: [28..][epoch: 8, step: 107,100, lr:(5.000e-05,)] [eta: 2:41:36, time (data): 0.507 (0.000)] l1_latent_opt: 7.7293e-01 fft_latent_opt: 6.1505e-01 +2025-10-30 06:39:19,105 INFO: [28..][epoch: 8, step: 107,200, lr:(5.000e-05,)] [eta: 2:40:42, time (data): 0.508 (0.000)] l1_latent_opt: 7.6989e-01 fft_latent_opt: 6.1165e-01 +2025-10-30 06:40:09,987 INFO: [28..][epoch: 8, step: 107,300, lr:(5.000e-05,)] [eta: 2:39:47, time (data): 0.508 (0.000)] l1_latent_opt: 7.7480e-01 fft_latent_opt: 6.1580e-01 +2025-10-30 06:41:00,894 INFO: [28..][epoch: 8, step: 107,400, lr:(5.000e-05,)] [eta: 2:38:52, time (data): 0.509 (0.000)] l1_latent_opt: 7.7589e-01 fft_latent_opt: 6.1414e-01 +2025-10-30 06:41:51,703 INFO: [28..][epoch: 8, step: 107,500, lr:(5.000e-05,)] [eta: 2:37:57, time (data): 0.508 (0.000)] l1_latent_opt: 7.8012e-01 fft_latent_opt: 6.1550e-01 +2025-10-30 06:42:42,570 INFO: [28..][epoch: 8, step: 107,600, lr:(5.000e-05,)] [eta: 2:37:03, time (data): 0.509 (0.000)] l1_latent_opt: 7.8100e-01 fft_latent_opt: 6.1844e-01 +2025-10-30 06:43:33,425 INFO: [28..][epoch: 8, step: 107,700, lr:(5.000e-05,)] [eta: 2:36:08, time (data): 0.509 (0.000)] l1_latent_opt: 7.8808e-01 fft_latent_opt: 6.2357e-01 +2025-10-30 06:44:24,381 INFO: [28..][epoch: 8, step: 107,800, lr:(5.000e-05,)] [eta: 2:35:13, time (data): 0.510 (0.000)] l1_latent_opt: 7.8811e-01 fft_latent_opt: 6.2503e-01 +2025-10-30 06:45:15,205 INFO: [28..][epoch: 8, step: 107,900, lr:(5.000e-05,)] [eta: 2:34:19, time (data): 0.509 (0.000)] l1_latent_opt: 7.7574e-01 fft_latent_opt: 6.1478e-01 +2025-10-30 06:46:06,010 INFO: [28..][epoch: 8, step: 108,000, lr:(5.000e-05,)] [eta: 2:33:24, time (data): 0.508 (0.000)] l1_latent_opt: 7.8420e-01 fft_latent_opt: 6.2027e-01 +2025-10-30 06:46:56,813 INFO: [28..][epoch: 8, step: 108,100, lr:(5.000e-05,)] [eta: 2:32:29, time (data): 0.508 (0.000)] l1_latent_opt: 7.7381e-01 fft_latent_opt: 6.1347e-01 +2025-10-30 06:47:47,618 INFO: [28..][epoch: 8, step: 108,200, lr:(5.000e-05,)] [eta: 2:31:35, time (data): 0.508 (0.000)] l1_latent_opt: 7.7765e-01 fft_latent_opt: 6.1620e-01 +2025-10-30 06:48:38,407 INFO: [28..][epoch: 8, step: 108,300, lr:(5.000e-05,)] [eta: 2:30:40, time (data): 0.508 (0.000)] l1_latent_opt: 7.7802e-01 fft_latent_opt: 6.1642e-01 +2025-10-30 06:49:29,201 INFO: [28..][epoch: 8, step: 108,400, lr:(5.000e-05,)] [eta: 2:29:45, time (data): 0.508 (0.000)] l1_latent_opt: 7.8466e-01 fft_latent_opt: 6.2088e-01 +2025-10-30 06:50:20,001 INFO: [28..][epoch: 8, step: 108,500, lr:(5.000e-05,)] [eta: 2:28:51, time (data): 0.508 (0.000)] l1_latent_opt: 7.8107e-01 fft_latent_opt: 6.1968e-01 +2025-10-30 06:51:10,783 INFO: [28..][epoch: 8, step: 108,600, lr:(5.000e-05,)] [eta: 2:27:56, time (data): 0.508 (0.000)] l1_latent_opt: 7.8042e-01 fft_latent_opt: 6.1605e-01 +2025-10-30 06:52:01,620 INFO: [28..][epoch: 8, step: 108,700, lr:(5.000e-05,)] [eta: 2:27:01, time (data): 0.508 (0.000)] l1_latent_opt: 7.6778e-01 fft_latent_opt: 6.1083e-01 +2025-10-30 06:52:52,420 INFO: [28..][epoch: 8, step: 108,800, lr:(5.000e-05,)] [eta: 2:26:07, time (data): 0.508 (0.000)] l1_latent_opt: 7.7369e-01 fft_latent_opt: 6.1731e-01 +2025-10-30 06:53:43,224 INFO: [28..][epoch: 8, step: 108,900, lr:(5.000e-05,)] [eta: 2:25:12, time (data): 0.508 (0.000)] l1_latent_opt: 7.8809e-01 fft_latent_opt: 6.2129e-01 +2025-10-30 06:54:34,034 INFO: [28..][epoch: 8, step: 109,000, lr:(5.000e-05,)] [eta: 2:24:18, time (data): 0.508 (0.000)] l1_latent_opt: 7.8930e-01 fft_latent_opt: 6.2651e-01 +2025-10-30 06:55:24,851 INFO: [28..][epoch: 8, step: 109,100, lr:(5.000e-05,)] [eta: 2:23:23, time (data): 0.508 (0.000)] l1_latent_opt: 7.7059e-01 fft_latent_opt: 6.1337e-01 +2025-10-30 06:56:15,673 INFO: [28..][epoch: 8, step: 109,200, lr:(5.000e-05,)] [eta: 2:22:28, time (data): 0.508 (0.000)] l1_latent_opt: 7.8287e-01 fft_latent_opt: 6.2017e-01 +2025-10-30 06:57:06,475 INFO: [28..][epoch: 8, step: 109,300, lr:(5.000e-05,)] [eta: 2:21:34, time (data): 0.508 (0.000)] l1_latent_opt: 7.8624e-01 fft_latent_opt: 6.2136e-01 +2025-10-30 06:57:57,273 INFO: [28..][epoch: 8, step: 109,400, lr:(5.000e-05,)] [eta: 2:20:39, time (data): 0.508 (0.000)] l1_latent_opt: 7.7328e-01 fft_latent_opt: 6.1453e-01 +2025-10-30 06:58:48,103 INFO: [28..][epoch: 8, step: 109,500, lr:(5.000e-05,)] [eta: 2:19:45, time (data): 0.508 (0.000)] l1_latent_opt: 7.8381e-01 fft_latent_opt: 6.1826e-01 +2025-10-30 06:59:39,034 INFO: [28..][epoch: 8, step: 109,600, lr:(5.000e-05,)] [eta: 2:18:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.9056e-01 fft_latent_opt: 6.2547e-01 +2025-10-30 07:00:29,853 INFO: [28..][epoch: 8, step: 109,700, lr:(5.000e-05,)] [eta: 2:17:56, time (data): 0.509 (0.000)] l1_latent_opt: 7.7576e-01 fft_latent_opt: 6.1541e-01 +2025-10-30 07:01:20,645 INFO: [28..][epoch: 8, step: 109,800, lr:(5.000e-05,)] [eta: 2:17:01, time (data): 0.508 (0.000)] l1_latent_opt: 7.8174e-01 fft_latent_opt: 6.1906e-01 +2025-10-30 07:02:11,478 INFO: [28..][epoch: 8, step: 109,900, lr:(5.000e-05,)] [eta: 2:16:07, time (data): 0.508 (0.000)] l1_latent_opt: 7.8410e-01 fft_latent_opt: 6.1958e-01 +2025-10-30 07:03:02,301 INFO: [28..][epoch: 8, step: 110,000, lr:(5.000e-05,)] [eta: 2:15:12, time (data): 0.508 (0.000)] l1_latent_opt: 7.7523e-01 fft_latent_opt: 6.1365e-01 +2025-10-30 07:03:02,303 INFO: Saving models and training states. +2025-10-30 07:05:54,345 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8819 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2711 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4775 Best: 26.4780 @ 100000 iter + +2025-10-30 07:06:45,337 INFO: [28..][epoch: 8, step: 110,100, lr:(5.000e-05,)] [eta: 2:14:41, time (data): 0.509 (0.000)] l1_latent_opt: 7.8143e-01 fft_latent_opt: 6.1895e-01 +2025-10-30 07:07:36,334 INFO: [28..][epoch: 8, step: 110,200, lr:(5.000e-05,)] [eta: 2:13:46, time (data): 0.510 (0.000)] l1_latent_opt: 7.8258e-01 fft_latent_opt: 6.1552e-01 +2025-10-30 07:08:27,769 INFO: [28..][epoch: 8, step: 110,300, lr:(5.000e-05,)] [eta: 2:12:51, time (data): 0.513 (0.000)] l1_latent_opt: 7.8614e-01 fft_latent_opt: 6.1863e-01 +2025-10-30 07:09:18,823 INFO: [28..][epoch: 8, step: 110,400, lr:(5.000e-05,)] [eta: 2:11:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.7971e-01 fft_latent_opt: 6.1770e-01 +2025-10-30 07:10:09,924 INFO: [28..][epoch: 8, step: 110,500, lr:(5.000e-05,)] [eta: 2:11:02, time (data): 0.511 (0.000)] l1_latent_opt: 7.7989e-01 fft_latent_opt: 6.2259e-01 +2025-10-30 07:11:00,911 INFO: [28..][epoch: 8, step: 110,600, lr:(5.000e-05,)] [eta: 2:10:08, time (data): 0.510 (0.000)] l1_latent_opt: 7.8905e-01 fft_latent_opt: 6.2306e-01 +2025-10-30 07:11:51,889 INFO: [28..][epoch: 8, step: 110,700, lr:(5.000e-05,)] [eta: 2:09:13, time (data): 0.510 (0.000)] l1_latent_opt: 7.8490e-01 fft_latent_opt: 6.2116e-01 +2025-10-30 07:12:42,872 INFO: [28..][epoch: 8, step: 110,800, lr:(5.000e-05,)] [eta: 2:08:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.7537e-01 fft_latent_opt: 6.1368e-01 +2025-10-30 07:13:33,859 INFO: [28..][epoch: 8, step: 110,900, lr:(5.000e-05,)] [eta: 2:07:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.8815e-01 fft_latent_opt: 6.2341e-01 +2025-10-30 07:14:24,916 INFO: [28..][epoch: 8, step: 111,000, lr:(5.000e-05,)] [eta: 2:06:29, time (data): 0.510 (0.000)] l1_latent_opt: 7.7833e-01 fft_latent_opt: 6.1534e-01 +2025-10-30 07:15:15,887 INFO: [28..][epoch: 8, step: 111,100, lr:(5.000e-05,)] [eta: 2:05:34, time (data): 0.510 (0.000)] l1_latent_opt: 7.8395e-01 fft_latent_opt: 6.2189e-01 +2025-10-30 07:16:06,862 INFO: [28..][epoch: 8, step: 111,200, lr:(5.000e-05,)] [eta: 2:04:40, time (data): 0.510 (0.000)] l1_latent_opt: 7.8716e-01 fft_latent_opt: 6.2423e-01 +2025-10-30 07:16:57,840 INFO: [28..][epoch: 8, step: 111,300, lr:(5.000e-05,)] [eta: 2:03:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.8983e-01 fft_latent_opt: 6.2303e-01 +2025-10-30 07:17:48,819 INFO: [28..][epoch: 8, step: 111,400, lr:(5.000e-05,)] [eta: 2:02:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.8416e-01 fft_latent_opt: 6.1836e-01 +2025-10-30 07:18:39,792 INFO: [28..][epoch: 8, step: 111,500, lr:(5.000e-05,)] [eta: 2:01:56, time (data): 0.510 (0.000)] l1_latent_opt: 7.8190e-01 fft_latent_opt: 6.1544e-01 +2025-10-30 07:19:30,745 INFO: [28..][epoch: 8, step: 111,600, lr:(5.000e-05,)] [eta: 2:01:01, time (data): 0.509 (0.000)] l1_latent_opt: 7.7835e-01 fft_latent_opt: 6.1448e-01 +2025-10-30 07:20:21,718 INFO: [28..][epoch: 8, step: 111,700, lr:(5.000e-05,)] [eta: 2:00:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.6669e-01 fft_latent_opt: 6.1134e-01 +2025-10-30 07:21:12,688 INFO: [28..][epoch: 8, step: 111,800, lr:(5.000e-05,)] [eta: 1:59:12, time (data): 0.510 (0.000)] l1_latent_opt: 7.8614e-01 fft_latent_opt: 6.2276e-01 +2025-10-30 07:22:03,664 INFO: [28..][epoch: 8, step: 111,900, lr:(5.000e-05,)] [eta: 1:58:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.7009e-01 fft_latent_opt: 6.1681e-01 +2025-10-30 07:22:54,638 INFO: [28..][epoch: 8, step: 112,000, lr:(5.000e-05,)] [eta: 1:57:23, time (data): 0.510 (0.000)] l1_latent_opt: 7.9042e-01 fft_latent_opt: 6.2429e-01 +2025-10-30 07:23:45,606 INFO: [28..][epoch: 8, step: 112,100, lr:(5.000e-05,)] [eta: 1:56:29, time (data): 0.510 (0.000)] l1_latent_opt: 7.8015e-01 fft_latent_opt: 6.1908e-01 +2025-10-30 07:24:36,570 INFO: [28..][epoch: 8, step: 112,200, lr:(5.000e-05,)] [eta: 1:55:34, time (data): 0.510 (0.000)] l1_latent_opt: 7.8452e-01 fft_latent_opt: 6.1456e-01 +2025-10-30 07:25:27,533 INFO: [28..][epoch: 8, step: 112,300, lr:(5.000e-05,)] [eta: 1:54:39, time (data): 0.510 (0.000)] l1_latent_opt: 7.8155e-01 fft_latent_opt: 6.1796e-01 +2025-10-30 07:26:18,601 INFO: [28..][epoch: 8, step: 112,400, lr:(5.000e-05,)] [eta: 1:53:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.7455e-01 fft_latent_opt: 6.1611e-01 +2025-10-30 07:27:09,594 INFO: [28..][epoch: 8, step: 112,500, lr:(5.000e-05,)] [eta: 1:52:50, time (data): 0.510 (0.000)] l1_latent_opt: 7.8478e-01 fft_latent_opt: 6.2284e-01 +2025-10-30 07:28:00,682 INFO: [28..][epoch: 8, step: 112,600, lr:(2.500e-05,)] [eta: 1:51:56, time (data): 0.512 (0.000)] l1_latent_opt: 7.8187e-01 fft_latent_opt: 6.2390e-01 +2025-10-30 07:28:51,671 INFO: [28..][epoch: 8, step: 112,700, lr:(2.500e-05,)] [eta: 1:51:01, time (data): 0.510 (0.000)] l1_latent_opt: 7.7676e-01 fft_latent_opt: 6.1520e-01 +2025-10-30 07:29:42,635 INFO: [28..][epoch: 8, step: 112,800, lr:(2.500e-05,)] [eta: 1:50:07, time (data): 0.510 (0.000)] l1_latent_opt: 7.8509e-01 fft_latent_opt: 6.2202e-01 +2025-10-30 07:30:33,725 INFO: [28..][epoch: 8, step: 112,900, lr:(2.500e-05,)] [eta: 1:49:12, time (data): 0.511 (0.000)] l1_latent_opt: 7.7808e-01 fft_latent_opt: 6.1336e-01 +2025-10-30 07:31:24,768 INFO: [28..][epoch: 8, step: 113,000, lr:(2.500e-05,)] [eta: 1:48:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.7744e-01 fft_latent_opt: 6.1534e-01 +2025-10-30 07:32:15,732 INFO: [28..][epoch: 8, step: 113,100, lr:(2.500e-05,)] [eta: 1:47:23, time (data): 0.510 (0.000)] l1_latent_opt: 7.7683e-01 fft_latent_opt: 6.1694e-01 +2025-10-30 07:33:06,821 INFO: [28..][epoch: 8, step: 113,200, lr:(2.500e-05,)] [eta: 1:46:29, time (data): 0.509 (0.000)] l1_latent_opt: 7.7814e-01 fft_latent_opt: 6.1919e-01 +2025-10-30 07:33:57,789 INFO: [28..][epoch: 8, step: 113,300, lr:(2.500e-05,)] [eta: 1:45:34, time (data): 0.510 (0.000)] l1_latent_opt: 7.7927e-01 fft_latent_opt: 6.1509e-01 +2025-10-30 07:34:48,779 INFO: [28..][epoch: 8, step: 113,400, lr:(2.500e-05,)] [eta: 1:44:40, time (data): 0.510 (0.000)] l1_latent_opt: 7.8185e-01 fft_latent_opt: 6.1837e-01 +2025-10-30 07:35:39,759 INFO: [28..][epoch: 8, step: 113,500, lr:(2.500e-05,)] [eta: 1:43:45, time (data): 0.510 (0.000)] l1_latent_opt: 7.8604e-01 fft_latent_opt: 6.2311e-01 +2025-10-30 07:36:30,735 INFO: [28..][epoch: 8, step: 113,600, lr:(2.500e-05,)] [eta: 1:42:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.8777e-01 fft_latent_opt: 6.2203e-01 +2025-10-30 07:37:21,731 INFO: [28..][epoch: 8, step: 113,700, lr:(2.500e-05,)] [eta: 1:41:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.8337e-01 fft_latent_opt: 6.2130e-01 +2025-10-30 07:38:12,700 INFO: [28..][epoch: 8, step: 113,800, lr:(2.500e-05,)] [eta: 1:41:02, time (data): 0.510 (0.000)] l1_latent_opt: 7.7446e-01 fft_latent_opt: 6.1797e-01 +2025-10-30 07:39:06,652 INFO: [28..][epoch: 9, step: 113,900, lr:(2.500e-05,)] [eta: 1:40:08, time (data): 0.532 (0.014)] l1_latent_opt: 7.7713e-01 fft_latent_opt: 6.1549e-01 +2025-10-30 07:39:57,520 INFO: [28..][epoch: 9, step: 114,000, lr:(2.500e-05,)] [eta: 1:39:14, time (data): 0.509 (0.000)] l1_latent_opt: 7.7287e-01 fft_latent_opt: 6.1437e-01 +2025-10-30 07:40:48,517 INFO: [28..][epoch: 9, step: 114,100, lr:(2.500e-05,)] [eta: 1:38:19, time (data): 0.510 (0.000)] l1_latent_opt: 7.7422e-01 fft_latent_opt: 6.1935e-01 +2025-10-30 07:41:39,359 INFO: [28..][epoch: 9, step: 114,200, lr:(2.500e-05,)] [eta: 1:37:25, time (data): 0.508 (0.000)] l1_latent_opt: 7.8511e-01 fft_latent_opt: 6.1793e-01 +2025-10-30 07:42:30,225 INFO: [28..][epoch: 9, step: 114,300, lr:(2.500e-05,)] [eta: 1:36:30, time (data): 0.508 (0.000)] l1_latent_opt: 7.7209e-01 fft_latent_opt: 6.1554e-01 +2025-10-30 07:43:21,001 INFO: [28..][epoch: 9, step: 114,400, lr:(2.500e-05,)] [eta: 1:35:36, time (data): 0.508 (0.000)] l1_latent_opt: 7.6962e-01 fft_latent_opt: 6.1067e-01 +2025-10-30 07:44:11,782 INFO: [28..][epoch: 9, step: 114,500, lr:(2.500e-05,)] [eta: 1:34:41, time (data): 0.508 (0.000)] l1_latent_opt: 7.7661e-01 fft_latent_opt: 6.1556e-01 +2025-10-30 07:45:02,564 INFO: [28..][epoch: 9, step: 114,600, lr:(2.500e-05,)] [eta: 1:33:47, time (data): 0.508 (0.000)] l1_latent_opt: 7.8775e-01 fft_latent_opt: 6.2260e-01 +2025-10-30 07:45:53,346 INFO: [28..][epoch: 9, step: 114,700, lr:(2.500e-05,)] [eta: 1:32:53, time (data): 0.508 (0.000)] l1_latent_opt: 7.8140e-01 fft_latent_opt: 6.1833e-01 +2025-10-30 07:46:44,136 INFO: [28..][epoch: 9, step: 114,800, lr:(2.500e-05,)] [eta: 1:31:58, time (data): 0.508 (0.000)] l1_latent_opt: 7.7416e-01 fft_latent_opt: 6.1489e-01 +2025-10-30 07:47:34,924 INFO: [28..][epoch: 9, step: 114,900, lr:(2.500e-05,)] [eta: 1:31:04, time (data): 0.508 (0.000)] l1_latent_opt: 7.7369e-01 fft_latent_opt: 6.1415e-01 +2025-10-30 07:48:25,698 INFO: [28..][epoch: 9, step: 115,000, lr:(2.500e-05,)] [eta: 1:30:09, time (data): 0.508 (0.000)] l1_latent_opt: 7.7713e-01 fft_latent_opt: 6.1644e-01 +2025-10-30 07:48:25,699 INFO: Saving models and training states. +2025-10-30 07:50:36,037 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8821 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2730 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4761 Best: 26.4780 @ 100000 iter + +2025-10-30 07:51:27,217 INFO: [28..][epoch: 9, step: 115,100, lr:(2.500e-05,)] [eta: 1:29:26, time (data): 0.511 (0.000)] l1_latent_opt: 7.7978e-01 fft_latent_opt: 6.1630e-01 +2025-10-30 07:52:18,529 INFO: [28..][epoch: 9, step: 115,200, lr:(2.500e-05,)] [eta: 1:28:32, time (data): 0.512 (0.000)] l1_latent_opt: 7.8061e-01 fft_latent_opt: 6.2135e-01 +2025-10-30 07:53:09,599 INFO: [28..][epoch: 9, step: 115,300, lr:(2.500e-05,)] [eta: 1:27:37, time (data): 0.511 (0.000)] l1_latent_opt: 7.6750e-01 fft_latent_opt: 6.1189e-01 +2025-10-30 07:54:01,104 INFO: [28..][epoch: 9, step: 115,400, lr:(2.500e-05,)] [eta: 1:26:43, time (data): 0.515 (0.000)] l1_latent_opt: 7.7852e-01 fft_latent_opt: 6.1786e-01 +2025-10-30 07:54:52,069 INFO: [28..][epoch: 9, step: 115,500, lr:(2.500e-05,)] [eta: 1:25:48, time (data): 0.511 (0.000)] l1_latent_opt: 7.7652e-01 fft_latent_opt: 6.1598e-01 +2025-10-30 07:55:43,006 INFO: [28..][epoch: 9, step: 115,600, lr:(2.500e-05,)] [eta: 1:24:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.8156e-01 fft_latent_opt: 6.1895e-01 +2025-10-30 07:56:33,928 INFO: [28..][epoch: 9, step: 115,700, lr:(2.500e-05,)] [eta: 1:23:59, time (data): 0.509 (0.000)] l1_latent_opt: 7.7857e-01 fft_latent_opt: 6.1772e-01 +2025-10-30 07:57:24,823 INFO: [28..][epoch: 9, step: 115,800, lr:(2.500e-05,)] [eta: 1:23:05, time (data): 0.509 (0.000)] l1_latent_opt: 7.8784e-01 fft_latent_opt: 6.2252e-01 +2025-10-30 07:58:16,096 INFO: [28..][epoch: 9, step: 115,900, lr:(2.500e-05,)] [eta: 1:22:10, time (data): 0.512 (0.000)] l1_latent_opt: 7.8112e-01 fft_latent_opt: 6.2146e-01 +2025-10-30 07:59:07,300 INFO: [28..][epoch: 9, step: 116,000, lr:(2.500e-05,)] [eta: 1:21:16, time (data): 0.512 (0.000)] l1_latent_opt: 7.6837e-01 fft_latent_opt: 6.0909e-01 +2025-10-30 07:59:58,243 INFO: [28..][epoch: 9, step: 116,100, lr:(2.500e-05,)] [eta: 1:20:22, time (data): 0.510 (0.000)] l1_latent_opt: 7.7644e-01 fft_latent_opt: 6.1683e-01 +2025-10-30 08:00:49,174 INFO: [28..][epoch: 9, step: 116,200, lr:(2.500e-05,)] [eta: 1:19:27, time (data): 0.510 (0.000)] l1_latent_opt: 7.7531e-01 fft_latent_opt: 6.1604e-01 +2025-10-30 08:01:40,102 INFO: [28..][epoch: 9, step: 116,300, lr:(2.500e-05,)] [eta: 1:18:33, time (data): 0.509 (0.000)] l1_latent_opt: 7.8144e-01 fft_latent_opt: 6.1861e-01 +2025-10-30 08:02:31,177 INFO: [28..][epoch: 9, step: 116,400, lr:(2.500e-05,)] [eta: 1:17:38, time (data): 0.509 (0.000)] l1_latent_opt: 7.6997e-01 fft_latent_opt: 6.1147e-01 +2025-10-30 08:03:22,095 INFO: [28..][epoch: 9, step: 116,500, lr:(2.500e-05,)] [eta: 1:16:44, time (data): 0.509 (0.000)] l1_latent_opt: 7.7562e-01 fft_latent_opt: 6.1684e-01 +2025-10-30 08:04:13,080 INFO: [28..][epoch: 9, step: 116,600, lr:(2.500e-05,)] [eta: 1:15:50, time (data): 0.509 (0.000)] l1_latent_opt: 7.8601e-01 fft_latent_opt: 6.2067e-01 +2025-10-30 08:05:04,038 INFO: [28..][epoch: 9, step: 116,700, lr:(2.500e-05,)] [eta: 1:14:55, time (data): 0.509 (0.000)] l1_latent_opt: 7.7529e-01 fft_latent_opt: 6.1433e-01 +2025-10-30 08:05:55,027 INFO: [28..][epoch: 9, step: 116,800, lr:(2.500e-05,)] [eta: 1:14:01, time (data): 0.509 (0.000)] l1_latent_opt: 7.7657e-01 fft_latent_opt: 6.1324e-01 +2025-10-30 08:06:46,095 INFO: [28..][epoch: 9, step: 116,900, lr:(2.500e-05,)] [eta: 1:13:06, time (data): 0.510 (0.000)] l1_latent_opt: 7.8259e-01 fft_latent_opt: 6.1926e-01 +2025-10-30 08:07:37,001 INFO: [28..][epoch: 9, step: 117,000, lr:(2.500e-05,)] [eta: 1:12:12, time (data): 0.509 (0.000)] l1_latent_opt: 7.7704e-01 fft_latent_opt: 6.1957e-01 +2025-10-30 08:08:27,918 INFO: [28..][epoch: 9, step: 117,100, lr:(2.500e-05,)] [eta: 1:11:18, time (data): 0.509 (0.000)] l1_latent_opt: 7.7478e-01 fft_latent_opt: 6.1786e-01 +2025-10-30 08:09:18,825 INFO: [28..][epoch: 9, step: 117,200, lr:(2.500e-05,)] [eta: 1:10:23, time (data): 0.509 (0.000)] l1_latent_opt: 7.7965e-01 fft_latent_opt: 6.1915e-01 +2025-10-30 08:10:09,731 INFO: [28..][epoch: 9, step: 117,300, lr:(2.500e-05,)] [eta: 1:09:29, time (data): 0.509 (0.000)] l1_latent_opt: 7.8422e-01 fft_latent_opt: 6.2049e-01 +2025-10-30 08:11:00,937 INFO: [28..][epoch: 9, step: 117,400, lr:(2.500e-05,)] [eta: 1:08:34, time (data): 0.515 (0.000)] l1_latent_opt: 7.7917e-01 fft_latent_opt: 6.1923e-01 +2025-10-30 08:11:52,039 INFO: [28..][epoch: 9, step: 117,500, lr:(2.500e-05,)] [eta: 1:07:40, time (data): 0.512 (0.000)] l1_latent_opt: 7.6862e-01 fft_latent_opt: 6.1128e-01 +2025-10-30 08:12:42,965 INFO: [28..][epoch: 9, step: 117,600, lr:(2.500e-05,)] [eta: 1:06:46, time (data): 0.509 (0.000)] l1_latent_opt: 7.8562e-01 fft_latent_opt: 6.2226e-01 +2025-10-30 08:13:33,989 INFO: [28..][epoch: 9, step: 117,700, lr:(2.500e-05,)] [eta: 1:05:51, time (data): 0.510 (0.000)] l1_latent_opt: 7.8061e-01 fft_latent_opt: 6.1928e-01 +2025-10-30 08:14:24,928 INFO: [28..][epoch: 9, step: 117,800, lr:(2.500e-05,)] [eta: 1:04:57, time (data): 0.509 (0.000)] l1_latent_opt: 7.7805e-01 fft_latent_opt: 6.1655e-01 +2025-10-30 08:15:15,858 INFO: [28..][epoch: 9, step: 117,900, lr:(2.500e-05,)] [eta: 1:04:03, time (data): 0.509 (0.000)] l1_latent_opt: 7.7989e-01 fft_latent_opt: 6.1926e-01 +2025-10-30 08:16:06,809 INFO: [28..][epoch: 9, step: 118,000, lr:(2.500e-05,)] [eta: 1:03:08, time (data): 0.509 (0.000)] l1_latent_opt: 7.7797e-01 fft_latent_opt: 6.2188e-01 +2025-10-30 08:16:57,720 INFO: [28..][epoch: 9, step: 118,100, lr:(2.500e-05,)] [eta: 1:02:14, time (data): 0.509 (0.000)] l1_latent_opt: 7.7945e-01 fft_latent_opt: 6.1507e-01 +2025-10-30 08:17:48,632 INFO: [28..][epoch: 9, step: 118,200, lr:(2.500e-05,)] [eta: 1:01:20, time (data): 0.509 (0.000)] l1_latent_opt: 7.7847e-01 fft_latent_opt: 6.1829e-01 +2025-10-30 08:18:39,530 INFO: [28..][epoch: 9, step: 118,300, lr:(2.500e-05,)] [eta: 1:00:26, time (data): 0.509 (0.000)] l1_latent_opt: 7.8523e-01 fft_latent_opt: 6.2195e-01 +2025-10-30 08:19:30,683 INFO: [28..][epoch: 9, step: 118,400, lr:(2.500e-05,)] [eta: 0:59:31, time (data): 0.527 (0.002)] l1_latent_opt: 7.8581e-01 fft_latent_opt: 6.1836e-01 +2025-10-30 08:20:21,729 INFO: [28..][epoch: 9, step: 118,500, lr:(2.500e-05,)] [eta: 0:58:37, time (data): 0.512 (0.000)] l1_latent_opt: 7.6940e-01 fft_latent_opt: 6.1379e-01 +2025-10-30 08:21:12,651 INFO: [28..][epoch: 9, step: 118,600, lr:(2.500e-05,)] [eta: 0:57:43, time (data): 0.509 (0.000)] l1_latent_opt: 7.8110e-01 fft_latent_opt: 6.1891e-01 +2025-10-30 08:22:03,558 INFO: [28..][epoch: 9, step: 118,700, lr:(2.500e-05,)] [eta: 0:56:48, time (data): 0.509 (0.000)] l1_latent_opt: 7.7333e-01 fft_latent_opt: 6.1389e-01 +2025-10-30 08:22:54,460 INFO: [28..][epoch: 9, step: 118,800, lr:(2.500e-05,)] [eta: 0:55:54, time (data): 0.509 (0.000)] l1_latent_opt: 7.8024e-01 fft_latent_opt: 6.1726e-01 +2025-10-30 08:23:45,411 INFO: [28..][epoch: 9, step: 118,900, lr:(2.500e-05,)] [eta: 0:55:00, time (data): 0.509 (0.000)] l1_latent_opt: 7.8249e-01 fft_latent_opt: 6.1986e-01 +2025-10-30 08:24:36,318 INFO: [28..][epoch: 9, step: 119,000, lr:(2.500e-05,)] [eta: 0:54:05, time (data): 0.509 (0.000)] l1_latent_opt: 7.7106e-01 fft_latent_opt: 6.1615e-01 +2025-10-30 08:25:27,296 INFO: [28..][epoch: 9, step: 119,100, lr:(2.500e-05,)] [eta: 0:53:11, time (data): 0.510 (0.000)] l1_latent_opt: 7.8836e-01 fft_latent_opt: 6.2461e-01 +2025-10-30 08:26:18,736 INFO: [28..][epoch: 9, step: 119,200, lr:(2.500e-05,)] [eta: 0:52:17, time (data): 0.518 (0.000)] l1_latent_opt: 7.7884e-01 fft_latent_opt: 6.1671e-01 +2025-10-30 08:27:09,706 INFO: [28..][epoch: 9, step: 119,300, lr:(2.500e-05,)] [eta: 0:51:23, time (data): 0.510 (0.000)] l1_latent_opt: 7.8482e-01 fft_latent_opt: 6.2107e-01 +2025-10-30 08:28:00,784 INFO: [28..][epoch: 9, step: 119,400, lr:(2.500e-05,)] [eta: 0:50:28, time (data): 0.509 (0.000)] l1_latent_opt: 7.8127e-01 fft_latent_opt: 6.1665e-01 +2025-10-30 08:28:51,688 INFO: [28..][epoch: 9, step: 119,500, lr:(2.500e-05,)] [eta: 0:49:34, time (data): 0.509 (0.000)] l1_latent_opt: 7.8518e-01 fft_latent_opt: 6.2187e-01 +2025-10-30 08:29:42,594 INFO: [28..][epoch: 9, step: 119,600, lr:(2.500e-05,)] [eta: 0:48:40, time (data): 0.509 (0.000)] l1_latent_opt: 7.8709e-01 fft_latent_opt: 6.2173e-01 +2025-10-30 08:30:33,499 INFO: [28..][epoch: 9, step: 119,700, lr:(2.500e-05,)] [eta: 0:47:46, time (data): 0.509 (0.000)] l1_latent_opt: 7.7971e-01 fft_latent_opt: 6.2161e-01 +2025-10-30 08:31:24,400 INFO: [28..][epoch: 9, step: 119,800, lr:(2.500e-05,)] [eta: 0:46:52, time (data): 0.509 (0.000)] l1_latent_opt: 7.6624e-01 fft_latent_opt: 6.1264e-01 +2025-10-30 08:32:15,345 INFO: [28..][epoch: 9, step: 119,900, lr:(2.500e-05,)] [eta: 0:45:57, time (data): 0.509 (0.000)] l1_latent_opt: 7.6910e-01 fft_latent_opt: 6.1200e-01 +2025-10-30 08:33:06,331 INFO: [28..][epoch: 9, step: 120,000, lr:(2.500e-05,)] [eta: 0:45:03, time (data): 0.509 (0.000)] l1_latent_opt: 7.7367e-01 fft_latent_opt: 6.0964e-01 +2025-10-30 08:33:06,332 INFO: Saving models and training states. +2025-10-30 08:35:53,839 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.8825 Best: 0.9148 @ 5000 iter + # l2_latent: 1.2734 Best: 1.3845 @ 5000 iter + # pixel_psnr_pt: 26.4702 Best: 26.4780 @ 100000 iter + +2025-10-30 08:36:44,718 INFO: [28..][epoch: 9, step: 120,100, lr:(2.500e-05,)] [eta: 0:44:16, time (data): 0.509 (0.000)] l1_latent_opt: 7.7440e-01 fft_latent_opt: 6.1296e-01 +2025-10-30 08:37:35,513 INFO: [28..][epoch: 9, step: 120,200, lr:(2.500e-05,)] [eta: 0:43:21, time (data): 0.508 (0.000)] l1_latent_opt: 7.7931e-01 fft_latent_opt: 6.1991e-01 +2025-10-30 08:39:01,461 INFO: [28..][epoch: 9, step: 120,300, lr:(2.500e-05,)] [eta: 0:42:28, time (data): 0.853 (0.000)] l1_latent_opt: 7.7416e-01 fft_latent_opt: 6.1436e-01 +2025-10-30 08:39:52,669 INFO: [28..][epoch: 9, step: 120,400, lr:(2.500e-05,)] [eta: 0:41:34, time (data): 0.510 (0.000)] l1_latent_opt: 7.6023e-01 fft_latent_opt: 6.0740e-01 +2025-10-30 08:40:43,916 INFO: [28..][epoch: 9, step: 120,500, lr:(2.500e-05,)] [eta: 0:40:40, time (data): 0.512 (0.000)] l1_latent_opt: 7.8155e-01 fft_latent_opt: 6.1772e-01 +2025-10-30 08:41:35,131 INFO: [28..][epoch: 9, step: 120,600, lr:(2.500e-05,)] [eta: 0:39:45, time (data): 0.512 (0.000)] l1_latent_opt: 7.8021e-01 fft_latent_opt: 6.1747e-01 +2025-10-30 08:42:26,476 INFO: [28..][epoch: 9, step: 120,700, lr:(2.500e-05,)] [eta: 0:38:51, time (data): 0.513 (0.000)] l1_latent_opt: 7.8060e-01 fft_latent_opt: 6.1877e-01 +2025-10-30 08:43:17,544 INFO: [28..][epoch: 9, step: 120,800, lr:(2.500e-05,)] [eta: 0:37:57, time (data): 0.512 (0.000)] l1_latent_opt: 7.8520e-01 fft_latent_opt: 6.2253e-01 +2025-10-30 08:44:08,691 INFO: [28..][epoch: 9, step: 120,900, lr:(2.500e-05,)] [eta: 0:37:02, time (data): 0.511 (0.000)] l1_latent_opt: 7.7533e-01 fft_latent_opt: 6.1823e-01 +2025-10-30 08:44:59,905 INFO: [28..][epoch: 9, step: 121,000, lr:(2.500e-05,)] [eta: 0:36:08, time (data): 0.512 (0.000)] l1_latent_opt: 7.8197e-01 fft_latent_opt: 6.1708e-01 +2025-10-30 08:45:51,411 INFO: [28..][epoch: 9, step: 121,100, lr:(2.500e-05,)] [eta: 0:35:14, time (data): 0.515 (0.000)] l1_latent_opt: 7.7806e-01 fft_latent_opt: 6.1806e-01 +2025-10-30 08:46:42,548 INFO: [28..][epoch: 9, step: 121,200, lr:(2.500e-05,)] [eta: 0:34:19, time (data): 0.513 (0.000)] l1_latent_opt: 7.8837e-01 fft_latent_opt: 6.2214e-01 +2025-10-30 08:47:33,921 INFO: [28..][epoch: 9, step: 121,300, lr:(2.500e-05,)] [eta: 0:33:25, time (data): 0.514 (0.000)] l1_latent_opt: 7.7976e-01 fft_latent_opt: 6.1935e-01 +2025-10-30 08:48:25,123 INFO: [28..][epoch: 9, step: 121,400, lr:(2.500e-05,)] [eta: 0:32:31, time (data): 0.513 (0.000)] l1_latent_opt: 7.8484e-01 fft_latent_opt: 6.2055e-01 +2025-10-30 08:49:16,467 INFO: [28..][epoch: 9, step: 121,500, lr:(2.500e-05,)] [eta: 0:31:36, time (data): 0.513 (0.000)] l1_latent_opt: 7.7890e-01 fft_latent_opt: 6.1608e-01 +2025-10-30 08:50:07,699 INFO: [28..][epoch: 9, step: 121,600, lr:(2.500e-05,)] [eta: 0:30:42, time (data): 0.513 (0.000)] l1_latent_opt: 7.8668e-01 fft_latent_opt: 6.2361e-01 +2025-10-30 08:50:58,948 INFO: [28..][epoch: 9, step: 121,700, lr:(2.500e-05,)] [eta: 0:29:48, time (data): 0.513 (0.000)] l1_latent_opt: 7.8498e-01 fft_latent_opt: 6.2299e-01 +2025-10-30 08:51:50,344 INFO: [28..][epoch: 9, step: 121,800, lr:(2.500e-05,)] [eta: 0:28:54, time (data): 0.513 (0.000)] l1_latent_opt: 7.7302e-01 fft_latent_opt: 6.1429e-01 +2025-10-30 08:52:41,755 INFO: [28..][epoch: 9, step: 121,900, lr:(2.500e-05,)] [eta: 0:27:59, time (data): 0.514 (0.000)] l1_latent_opt: 7.8480e-01 fft_latent_opt: 6.2170e-01 +2025-10-30 08:53:32,865 INFO: [28..][epoch: 9, step: 122,000, lr:(2.500e-05,)] [eta: 0:27:05, time (data): 0.512 (0.000)] l1_latent_opt: 7.7808e-01 fft_latent_opt: 6.1743e-01 +2025-10-30 08:54:23,927 INFO: [28..][epoch: 9, step: 122,100, lr:(2.500e-05,)] [eta: 0:26:11, time (data): 0.511 (0.000)] l1_latent_opt: 7.8099e-01 fft_latent_opt: 6.2159e-01 +2025-10-30 08:55:15,301 INFO: [28..][epoch: 9, step: 122,200, lr:(2.500e-05,)] [eta: 0:25:16, time (data): 0.512 (0.000)] l1_latent_opt: 7.7825e-01 fft_latent_opt: 6.1821e-01 +2025-10-30 08:56:06,584 INFO: [28..][epoch: 9, step: 122,300, lr:(2.500e-05,)] [eta: 0:24:22, time (data): 0.513 (0.000)] l1_latent_opt: 7.6813e-01 fft_latent_opt: 6.1192e-01 +2025-10-30 08:56:57,866 INFO: [28..][epoch: 9, step: 122,400, lr:(2.500e-05,)] [eta: 0:23:28, time (data): 0.513 (0.000)] l1_latent_opt: 7.7182e-01 fft_latent_opt: 6.1456e-01 +2025-10-30 08:57:49,361 INFO: [28..][epoch: 9, step: 122,500, lr:(2.500e-05,)] [eta: 0:22:34, time (data): 0.515 (0.000)] l1_latent_opt: 7.7397e-01 fft_latent_opt: 6.1345e-01 +2025-10-30 08:58:40,516 INFO: [28..][epoch: 9, step: 122,600, lr:(2.500e-05,)] [eta: 0:21:39, time (data): 0.513 (0.000)] l1_latent_opt: 7.6854e-01 fft_latent_opt: 6.1137e-01 +2025-10-30 08:59:31,584 INFO: [28..][epoch: 9, step: 122,700, lr:(2.500e-05,)] [eta: 0:20:45, time (data): 0.511 (0.000)] l1_latent_opt: 7.7792e-01 fft_latent_opt: 6.1746e-01 +2025-10-30 09:00:23,306 INFO: [28..][epoch: 9, step: 122,800, lr:(2.500e-05,)] [eta: 0:19:51, time (data): 0.514 (0.000)] l1_latent_opt: 7.8091e-01 fft_latent_opt: 6.1940e-01 +2025-10-30 09:01:14,285 INFO: [28..][epoch: 9, step: 122,900, lr:(2.500e-05,)] [eta: 0:18:57, time (data): 0.510 (0.000)] l1_latent_opt: 7.7914e-01 fft_latent_opt: 6.1884e-01 +2025-10-30 09:02:05,420 INFO: [28..][epoch: 9, step: 123,000, lr:(2.500e-05,)] [eta: 0:18:03, time (data): 0.511 (0.000)] l1_latent_opt: 7.8001e-01 fft_latent_opt: 6.1700e-01 +2025-10-30 09:02:56,570 INFO: [28..][epoch: 9, step: 123,100, lr:(2.500e-05,)] [eta: 0:17:08, time (data): 0.511 (0.000)] l1_latent_opt: 7.8579e-01 fft_latent_opt: 6.2019e-01 +2025-10-30 09:03:47,921 INFO: [28..][epoch: 9, step: 123,200, lr:(2.500e-05,)] [eta: 0:16:14, time (data): 0.512 (0.000)] l1_latent_opt: 7.6297e-01 fft_latent_opt: 6.1155e-01 +2025-10-30 09:04:39,134 INFO: [28..][epoch: 9, step: 123,300, lr:(2.500e-05,)] [eta: 0:15:20, time (data): 0.512 (0.000)] l1_latent_opt: 7.7784e-01 fft_latent_opt: 6.1612e-01 +2025-10-30 09:05:30,538 INFO: [28..][epoch: 9, step: 123,400, lr:(2.500e-05,)] [eta: 0:14:26, time (data): 0.513 (0.000)] l1_latent_opt: 7.7336e-01 fft_latent_opt: 6.1322e-01 +2025-10-30 09:06:21,610 INFO: [28..][epoch: 9, step: 123,500, lr:(2.500e-05,)] [eta: 0:13:31, time (data): 0.511 (0.000)] l1_latent_opt: 7.8360e-01 fft_latent_opt: 6.1791e-01 +2025-10-30 09:07:12,816 INFO: [28..][epoch: 9, step: 123,600, lr:(2.500e-05,)] [eta: 0:12:37, time (data): 0.511 (0.000)] l1_latent_opt: 7.8064e-01 fft_latent_opt: 6.1841e-01 +2025-10-30 09:08:04,191 INFO: [28..][epoch: 9, step: 123,700, lr:(2.500e-05,)] [eta: 0:11:43, time (data): 0.514 (0.000)] l1_latent_opt: 7.8151e-01 fft_latent_opt: 6.2276e-01 +2025-10-30 09:08:55,324 INFO: [28..][epoch: 9, step: 123,800, lr:(2.500e-05,)] [eta: 0:10:49, time (data): 0.513 (0.000)] l1_latent_opt: 7.8821e-01 fft_latent_opt: 6.2515e-01 +2025-10-30 09:09:46,473 INFO: [28..][epoch: 9, step: 123,900, lr:(2.500e-05,)] [eta: 0:09:55, time (data): 0.511 (0.000)] l1_latent_opt: 7.8375e-01 fft_latent_opt: 6.1970e-01 +2025-10-30 09:10:37,503 INFO: [28..][epoch: 9, step: 124,000, lr:(2.500e-05,)] [eta: 0:09:00, time (data): 0.510 (0.000)] l1_latent_opt: 7.7653e-01 fft_latent_opt: 6.1510e-01 +2025-10-30 09:11:28,823 INFO: [28..][epoch: 9, step: 124,100, lr:(2.500e-05,)] [eta: 0:08:06, time (data): 0.513 (0.000)] l1_latent_opt: 7.7855e-01 fft_latent_opt: 6.1503e-01 +2025-10-30 09:12:19,860 INFO: [28..][epoch: 9, step: 124,200, lr:(2.500e-05,)] [eta: 0:07:12, time (data): 0.511 (0.000)] l1_latent_opt: 7.8908e-01 fft_latent_opt: 6.2333e-01 +2025-10-30 09:13:10,833 INFO: [28..][epoch: 9, step: 124,300, lr:(2.500e-05,)] [eta: 0:06:18, time (data): 0.510 (0.000)] l1_latent_opt: 7.7327e-01 fft_latent_opt: 6.1613e-01 +2025-10-30 09:14:01,814 INFO: [28..][epoch: 9, step: 124,400, lr:(2.500e-05,)] [eta: 0:05:24, time (data): 0.510 (0.000)] l1_latent_opt: 7.7202e-01 fft_latent_opt: 6.1252e-01 +2025-10-30 09:14:52,901 INFO: [28..][epoch: 9, step: 124,500, lr:(2.500e-05,)] [eta: 0:04:30, time (data): 0.511 (0.000)] l1_latent_opt: 7.8843e-01 fft_latent_opt: 6.2046e-01 diff --git a/29_10_2025/28_2/basicsr_options.yaml b/29_10_2025/28_2/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..eaab75dc2fac4035e2623132caf3ba11c0525087 --- /dev/null +++ b/29_10_2025/28_2/basicsr_options.yaml @@ -0,0 +1,153 @@ +# GENERATE TIME: Wed Oct 29 13:39:15 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28_2' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28_2/train_28_2_20251029_133915.log b/29_10_2025/28_2/train_28_2_20251029_133915.log new file mode 100644 index 0000000000000000000000000000000000000000..43b2a17803cbd998e3d53fe00453cd10985c784b --- /dev/null +++ b/29_10_2025/28_2/train_28_2_20251029_133915.log @@ -0,0 +1,327 @@ +2025-10-29 13:39:15,094 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:39:15,094 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28_2 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_2 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_2/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_2/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_2 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_2/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:39:16,728 INFO: Use wandb logger with id=ntq3uav6; project=Swin2SR-Latent-SR. +2025-10-29 13:39:26,339 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:39:26,340 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 512 + World size (gpu number): 1 + Steps per epoch: 2401 + Configured training steps: 125000 + Approximate epochs to cover: 53. +2025-10-29 13:39:26,344 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:39:26,344 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:39:27,007 INFO: Network [Swin2SR] is created. +2025-10-29 13:39:27,222 INFO: Network: Swin2SR, with parameters: 47,374,072 +2025-10-29 13:39:27,223 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:39:27,225 INFO: Use EMA with decay: 0.999 +2025-10-29 13:39:27,747 INFO: Network [Swin2SR] is created. +2025-10-29 13:39:27,833 INFO: Loss [L1Loss] is created. +2025-10-29 13:39:27,834 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:39:27,835 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:39:27,836 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:39:27,839 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:39:27,839 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 13:39:29,212 INFO: Start training from epoch: 0, step: 0 diff --git a/29_10_2025/28_3/basicsr_options.yaml b/29_10_2025/28_3/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2436263ef110f45cd69d7fffa7f448bab89780df --- /dev/null +++ b/29_10_2025/28_3/basicsr_options.yaml @@ -0,0 +1,153 @@ +# GENERATE TIME: Wed Oct 29 13:40:52 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28_3' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28_3/train_28_3_20251029_134052.log b/29_10_2025/28_3/train_28_3_20251029_134052.log new file mode 100644 index 0000000000000000000000000000000000000000..ad4830566be52eadf0b1f21589661a38879a31a5 --- /dev/null +++ b/29_10_2025/28_3/train_28_3_20251029_134052.log @@ -0,0 +1,327 @@ +2025-10-29 13:40:52,022 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:40:52,022 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28_3 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_3 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_3/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_3/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_3 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_3/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:40:53,747 INFO: Use wandb logger with id=zo69gnri; project=Swin2SR-Latent-SR. +2025-10-29 13:41:03,991 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:41:03,992 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 1 + Steps per epoch: 4801 + Configured training steps: 125000 + Approximate epochs to cover: 27. +2025-10-29 13:41:03,996 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:41:03,996 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:41:04,544 INFO: Network [Swin2SR] is created. +2025-10-29 13:41:04,778 INFO: Network: Swin2SR, with parameters: 47,374,072 +2025-10-29 13:41:04,778 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:41:04,779 INFO: Use EMA with decay: 0.999 +2025-10-29 13:41:05,296 INFO: Network [Swin2SR] is created. +2025-10-29 13:41:05,359 INFO: Loss [L1Loss] is created. +2025-10-29 13:41:05,359 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:41:05,359 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:41:05,361 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:41:05,362 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:41:05,362 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 13:41:06,816 INFO: Start training from epoch: 0, step: 0 diff --git a/29_10_2025/28_4/basicsr_options.yaml b/29_10_2025/28_4/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..df92e04e66a9f39ebd5c4359ac713ccc6ce9566b --- /dev/null +++ b/29_10_2025/28_4/basicsr_options.yaml @@ -0,0 +1,153 @@ +# GENERATE TIME: Wed Oct 29 13:41:52 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 64 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28_4' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28_4/train_28_4_20251029_134152.log b/29_10_2025/28_4/train_28_4_20251029_134152.log new file mode 100644 index 0000000000000000000000000000000000000000..19195d8c5ee40b965e05e7cab6cf45f3b460f421 --- /dev/null +++ b/29_10_2025/28_4/train_28_4_20251029_134152.log @@ -0,0 +1,328 @@ +2025-10-29 13:41:52,561 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:41:52,561 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 64 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28_4 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_4 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_4/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_4/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_4 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_4/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:41:54,279 INFO: Use wandb logger with id=htv5nbhr; project=Swin2SR-Latent-SR. +2025-10-29 13:42:04,515 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:42:04,516 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 64 + World size (gpu number): 1 + Steps per epoch: 19201 + Configured training steps: 125000 + Approximate epochs to cover: 7. +2025-10-29 13:42:04,521 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:42:04,522 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:42:05,171 INFO: Network [Swin2SR] is created. +2025-10-29 13:42:05,408 INFO: Network: Swin2SR, with parameters: 47,374,072 +2025-10-29 13:42:05,408 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:42:05,411 INFO: Use EMA with decay: 0.999 +2025-10-29 13:42:05,925 INFO: Network [Swin2SR] is created. +2025-10-29 13:42:05,987 INFO: Loss [L1Loss] is created. +2025-10-29 13:42:05,987 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:42:05,989 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:42:05,989 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:42:05,991 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:42:05,991 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 13:42:06,764 INFO: Start training from epoch: 0, step: 0 +2025-10-29 13:42:37,113 INFO: [28_4..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 9:16:40, time (data): 0.303 (0.016)] l1_latent_opt: 1.0622e+00 fft_latent_opt: 9.5891e-01 diff --git a/29_10_2025/28_5/basicsr_options.yaml b/29_10_2025/28_5/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9b0df2a09862e98f45f1b0723120b995928ad039 --- /dev/null +++ b/29_10_2025/28_5/basicsr_options.yaml @@ -0,0 +1,153 @@ +# GENERATE TIME: Wed Oct 29 13:43:09 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28_5' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28_5/train_28_5_20251029_134309.log b/29_10_2025/28_5/train_28_5_20251029_134309.log new file mode 100644 index 0000000000000000000000000000000000000000..26e3423ceb3b79b92c22243ea235a3a9053b937b --- /dev/null +++ b/29_10_2025/28_5/train_28_5_20251029_134309.log @@ -0,0 +1,331 @@ +2025-10-29 13:43:09,394 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:43:09,394 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28_5 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_5 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_5/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_5/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_5 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28_5/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:43:11,073 INFO: Use wandb logger with id=f6jj9anl; project=Swin2SR-Latent-SR. +2025-10-29 13:43:21,132 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:43:21,133 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 128 + World size (gpu number): 1 + Steps per epoch: 9601 + Configured training steps: 125000 + Approximate epochs to cover: 14. +2025-10-29 13:43:21,137 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:43:21,138 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:43:22,070 INFO: Network [Swin2SR] is created. +2025-10-29 13:43:22,281 INFO: Network: Swin2SR, with parameters: 47,374,072 +2025-10-29 13:43:22,282 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:43:22,284 INFO: Use EMA with decay: 0.999 +2025-10-29 13:43:22,819 INFO: Network [Swin2SR] is created. +2025-10-29 13:43:22,884 INFO: Loss [L1Loss] is created. +2025-10-29 13:43:22,885 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:43:22,886 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:43:22,887 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:43:22,890 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:43:22,890 INFO: Model [SwinIRLatentModel] is created. +2025-10-29 13:43:23,717 INFO: Start training from epoch: 0, step: 0 +2025-10-29 13:44:17,711 INFO: [28_5..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 16:56:41, time (data): 0.540 (0.024)] l1_latent_opt: 1.0493e+00 fft_latent_opt: 9.4243e-01 +2025-10-29 13:45:07,712 INFO: [28_5..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 17:07:52, time (data): 0.520 (0.012)] l1_latent_opt: 1.0046e+00 fft_latent_opt: 9.0919e-01 +2025-10-29 13:45:57,517 INFO: [28_5..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 17:09:43, time (data): 0.498 (0.000)] l1_latent_opt: 9.9114e-01 fft_latent_opt: 8.9344e-01 +2025-10-29 13:46:47,360 INFO: [28_5..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 17:10:26, time (data): 0.498 (0.000)] l1_latent_opt: 9.6656e-01 fft_latent_opt: 8.6704e-01 diff --git a/29_10_2025/28_archived_20251029_134755/basicsr_options.yaml b/29_10_2025/28_archived_20251029_134755/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2ccf15a629784be2dd330b11289745c5dd90d81f --- /dev/null +++ b/29_10_2025/28_archived_20251029_134755/basicsr_options.yaml @@ -0,0 +1,153 @@ +# GENERATE TIME: Wed Oct 29 13:38:27 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + fft_latent_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + grad_clip: + generator: + type: norm + max_norm: 1.0 + norm_type: 2.0 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025 diff --git a/29_10_2025/28_archived_20251029_134755/train_28_20251029_133827.log b/29_10_2025/28_archived_20251029_134755/train_28_20251029_133827.log new file mode 100644 index 0000000000000000000000000000000000000000..4e2ca126f50e616da916944c2540ffd08a0f218e --- /dev/null +++ b/29_10_2025/28_archived_20251029_134755/train_28_20251029_133827.log @@ -0,0 +1,326 @@ +2025-10-29 13:38:27,011 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-29 13:38:27,011 INFO: + model_type: SwinIRLatentModel + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: LatentCacheDataset + high_res: 512 + low_res: 128 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 64 + batch_size_per_gpu: 512 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 4 + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + ] + fft_latent_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + grad_clip:[ + generator:[ + type: norm + max_norm: 1.0 + norm_type: 2.0 + ] + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28 + models: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/29_10_2025/28/visualization + ] + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-29 13:38:28,766 INFO: Use wandb logger with id=h5cn8wo3; project=Swin2SR-Latent-SR. +2025-10-29 13:38:39,546 INFO: Dataset [LatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-29 13:38:39,547 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 512 + World size (gpu number): 3 + Steps per epoch: 801 + Configured training steps: 125000 + Approximate epochs to cover: 157. +2025-10-29 13:38:39,552 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-29 13:38:39,552 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-29 13:38:39,962 INFO: Network [Swin2SR] is created. +2025-10-29 13:38:41,525 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 47,374,072 +2025-10-29 13:38:41,526 INFO: Swin2SR( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), pretrained_window_size=(0, 0), num_heads=12 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=12, bias=False) + ) + (qkv): Linear(in_features=360, out_features=1080, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(360, 360, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(360, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-29 13:38:41,530 INFO: Use EMA with decay: 0.999 +2025-10-29 13:38:41,935 INFO: Network [Swin2SR] is created. +2025-10-29 13:38:41,995 INFO: Loss [L1Loss] is created. +2025-10-29 13:38:41,996 INFO: Initialized l1_latent_opt in latent space (w=1.0). +2025-10-29 13:38:41,997 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-29 13:38:41,998 INFO: Initialized fft_latent_opt in latent space (w=0.05). +2025-10-29 13:38:42,000 INFO: Gradient clipping enabled (G:norm(max_norm=1.0, norm_type=2.0)). +2025-10-29 13:38:42,000 INFO: Model [SwinIRLatentModel] is created. diff --git a/30_10_2025/28/basicsr_options.yaml b/30_10_2025/28/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7c7805c578f3d52ed0c9c5fac89a21e171e950e2 --- /dev/null +++ b/30_10_2025/28/basicsr_options.yaml @@ -0,0 +1,226 @@ +# GENERATE TIME: Thu Oct 30 21:22:43 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + adversarial: + latent_x2: + space: latent + target: x2 + network: + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: true + loss: + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + optim: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + latent_x4: + space: latent + target: x4 + network: + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: true + loss: + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + optim: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025 diff --git a/30_10_2025/28/train_28_20251030_212243.log b/30_10_2025/28/train_28_20251030_212243.log new file mode 100644 index 0000000000000000000000000000000000000000..64829137a659295f27d53197f0079ba92795403b --- /dev/null +++ b/30_10_2025/28/train_28_20251030_212243.log @@ -0,0 +1,419 @@ +2025-10-30 21:22:43,104 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-30 21:22:43,104 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + ] + adversarial:[ + latent_x2:[ + space: latent + target: x2 + network:[ + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: True + ] + loss:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + ] + optim:[ + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: [0.9, 0.99] + ] + ] + latent_x4:[ + space: latent + target: x4 + network:[ + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: True + ] + loss:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + ] + optim:[ + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: [0.9, 0.99] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/28 + models: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/28/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/28/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/28 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/30_10_2025/28/visualization + ] + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-30 21:22:44,836 INFO: Use wandb logger with id=nw4bxdmn; project=Swin2SR-Latent-SR. +2025-10-30 21:25:07,807 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-30 21:25:07,808 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 6 + Steps per epoch: 3164 + Configured training steps: 125000 + Approximate epochs to cover: 40. +2025-10-30 21:25:07,961 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-30 21:25:07,961 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-30 21:25:08,384 INFO: Network [SwinIRMultiHead] is created. +2025-10-30 21:25:35,642 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-30 21:25:35,643 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-30 21:25:35,647 INFO: Use EMA with decay: 0.999 +2025-10-30 21:25:36,138 INFO: Network [SwinIRMultiHead] is created. +2025-10-30 21:25:36,199 INFO: Loss [L1Loss] is created. +2025-10-30 21:25:36,200 INFO: Initialized l1_latent_x2_opt in latent space (w=0.5). +2025-10-30 21:25:36,201 INFO: Loss [L1Loss] is created. +2025-10-30 21:25:36,202 INFO: Initialized l1_latent_x4_opt in latent space (w=0.5). +2025-10-30 21:25:36,218 INFO: Network [UNetDiscriminatorSN] is created. +2025-10-30 21:25:36,384 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,384,385 +2025-10-30 21:25:36,385 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-30 21:25:36,385 INFO: Loss [GANLoss] is created. +2025-10-30 21:25:36,401 INFO: Network [UNetDiscriminatorSN] is created. +2025-10-30 21:25:36,415 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,384,385 +2025-10-30 21:25:36,416 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-30 21:25:36,417 INFO: Loss [GANLoss] is created. +2025-10-30 21:25:36,419 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-30 21:25:36,420 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-30 22:26:31,288 INFO: Start training from epoch: 0, step: 0 diff --git a/31_10_2025/28/basicsr_options.yaml b/31_10_2025/28/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b8d659fa7819bb0e8e360148b50cb55c994269f4 --- /dev/null +++ b/31_10_2025/28/basicsr_options.yaml @@ -0,0 +1,226 @@ +# GENERATE TIME: Fri Oct 31 09:42:45 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + adversarial: + latent_x2: + space: latent + target: x2 + network: + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: true + loss: + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + optim: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + latent_x4: + space: latent + target: x4 + network: + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: true + loss: + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + optim: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '28' +name: '28' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/28/train_28_20251031_094245.log b/31_10_2025/28/train_28_20251031_094245.log new file mode 100644 index 0000000000000000000000000000000000000000..bd7e689eb41abd3514d4e81a87c4364cfa8ff592 --- /dev/null +++ b/31_10_2025/28/train_28_20251031_094245.log @@ -0,0 +1,598 @@ +2025-10-31 09:42:45,818 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 09:42:45,818 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + ] + adversarial:[ + latent_x2:[ + space: latent + target: x2 + network:[ + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: True + ] + loss:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + ] + optim:[ + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: [0.9, 0.99] + ] + ] + latent_x4:[ + space: latent + target: x4 + network:[ + type: UNetDiscriminatorSN + num_in_ch: 16 + num_feat: 64 + skip_connection: True + ] + loss:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.01 + ] + optim:[ + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: [0.9, 0.99] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28 + name: 28 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28/visualization + ] + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 09:42:47,781 INFO: Use wandb logger with id=s80jkadg; project=Swin2SR-Latent-SR. +2025-10-31 09:43:00,922 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 09:43:00,923 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 6 + Steps per epoch: 3164 + Configured training steps: 125000 + Approximate epochs to cover: 40. +2025-10-31 09:43:00,926 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 09:43:00,926 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 09:43:01,352 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 09:43:03,453 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 09:43:03,454 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 09:43:03,455 INFO: Use EMA with decay: 0.999 +2025-10-31 09:43:03,833 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 09:43:03,895 INFO: Loss [L1Loss] is created. +2025-10-31 09:43:03,896 INFO: Initialized l1_latent_x2_opt in latent space (w=0.5). +2025-10-31 09:43:03,896 INFO: Loss [L1Loss] is created. +2025-10-31 09:43:03,896 INFO: Initialized l1_latent_x4_opt in latent space (w=0.5). +2025-10-31 09:43:03,915 INFO: Network [UNetDiscriminatorSN] is created. +2025-10-31 09:43:04,208 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,384,385 +2025-10-31 09:43:04,208 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 09:43:04,209 INFO: Loss [GANLoss] is created. +2025-10-31 09:43:04,227 INFO: Network [UNetDiscriminatorSN] is created. +2025-10-31 09:43:04,239 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,384,385 +2025-10-31 09:43:04,240 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(16, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 09:43:04,240 INFO: Loss [GANLoss] is created. +2025-10-31 09:43:04,242 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 09:43:04,242 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 09:53:20,737 INFO: Start training from epoch: 0, step: 0 +2025-10-31 09:56:11,206 INFO: [28..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 2 days, 0:30:21, time (data): 1.705 (0.166)] l1_latent_x2_opt: 8.7310e-01 l1_latent_x4_opt: 1.0423e+00 l_g_gan_latent_x2: 6.7530e-03 l_g_gan_latent_x4: 2.2812e-03 l_d_real_latent_x2: 3.7247e-01 out_d_real_latent_x2: 6.2527e+00 l_d_fake_latent_x2: 4.8368e-01 out_d_fake_latent_x2: -6.7525e-01 l_d_real_latent_x4: 5.4575e-01 out_d_real_latent_x4: 6.0581e-01 l_d_fake_latent_x4: 7.7230e-01 out_d_fake_latent_x4: -2.2810e-01 +2025-10-31 09:58:33,682 INFO: [28..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 2 days, 0:55:36, time (data): 1.565 (0.083)] l1_latent_x2_opt: 8.2312e-01 l1_latent_x4_opt: 1.0131e+00 l_g_gan_latent_x2: -4.8811e-04 l_g_gan_latent_x4: 1.2832e-02 l_d_real_latent_x2: 6.9838e-01 out_d_real_latent_x2: 3.2701e-01 l_d_fake_latent_x2: 1.0488e+00 out_d_fake_latent_x2: 4.8808e-02 l_d_real_latent_x4: 2.0315e-01 out_d_real_latent_x4: 7.9322e+00 l_d_fake_latent_x4: 2.7694e-01 out_d_fake_latent_x4: -1.2832e+00 +2025-10-31 10:00:56,052 INFO: [28..][epoch: 0, step: 300, lr:(1.500e-04,)] [eta: 2 days, 1:01:47, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.8847e-01 l1_latent_x4_opt: 9.7767e-01 l_g_gan_latent_x2: 4.6467e-04 l_g_gan_latent_x4: 2.0028e-02 l_d_real_latent_x2: 6.2695e-01 out_d_real_latent_x2: 4.4121e-01 l_d_fake_latent_x2: 9.5359e-01 out_d_fake_latent_x2: -4.6465e-02 l_d_real_latent_x4: 2.7329e-01 out_d_real_latent_x4: 3.4821e+00 l_d_fake_latent_x4: 1.5970e-01 out_d_fake_latent_x4: -2.0027e+00 +2025-10-31 10:03:18,521 INFO: [28..][epoch: 0, step: 400, lr:(1.500e-04,)] [eta: 2 days, 1:04:11, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.6868e-01 l1_latent_x4_opt: 9.5775e-01 l_g_gan_latent_x2: 1.3483e-02 l_g_gan_latent_x4: 2.0494e-02 l_d_real_latent_x2: 2.1001e-01 out_d_real_latent_x2: 1.7611e+00 l_d_fake_latent_x2: 1.5548e-01 out_d_fake_latent_x2: -1.3483e+00 l_d_real_latent_x4: 5.9823e-02 out_d_real_latent_x4: 3.1147e+00 l_d_fake_latent_x4: 6.5560e-02 out_d_fake_latent_x4: -2.0494e+00 +2025-10-31 10:05:41,076 INFO: [28..][epoch: 0, step: 500, lr:(1.500e-04,)] [eta: 2 days, 1:05:03, time (data): 1.426 (0.000)] l1_latent_x2_opt: 7.5776e-01 l1_latent_x4_opt: 1.0658e+00 l_g_gan_latent_x2: 3.5138e-03 l_g_gan_latent_x4: 4.0367e-03 l_d_real_latent_x2: 4.8362e-01 out_d_real_latent_x2: 6.6720e-01 l_d_fake_latent_x2: 6.4912e-01 out_d_fake_latent_x2: -3.5138e-01 l_d_real_latent_x4: 1.0611e+00 out_d_real_latent_x4: 4.3773e-01 l_d_fake_latent_x4: 8.7322e-01 out_d_fake_latent_x4: -4.0363e-01 +2025-10-31 10:08:03,645 INFO: [28..][epoch: 0, step: 600, lr:(1.500e-04,)] [eta: 2 days, 1:04:53, time (data): 1.426 (0.000)] l1_latent_x2_opt: 7.4797e-01 l1_latent_x4_opt: 9.5807e-01 l_g_gan_latent_x2: 2.0461e-02 l_g_gan_latent_x4: 1.5079e-02 l_d_real_latent_x2: 1.2595e-01 out_d_real_latent_x2: 3.0770e+00 l_d_fake_latent_x2: 1.2857e-01 out_d_fake_latent_x2: -2.0461e+00 l_d_real_latent_x4: 3.5233e-01 out_d_real_latent_x4: 1.0666e+00 l_d_fake_latent_x4: 1.4657e-01 out_d_fake_latent_x4: -1.5079e+00 +2025-10-31 10:10:26,078 INFO: [28..][epoch: 0, step: 700, lr:(1.500e-04,)] [eta: 2 days, 1:03:41, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.3552e-01 l1_latent_x4_opt: 1.0215e+00 l_g_gan_latent_x2: 7.2123e-03 l_g_gan_latent_x4: -3.2462e-04 l_d_real_latent_x2: 2.4674e-01 out_d_real_latent_x2: 1.1522e+00 l_d_fake_latent_x2: 2.9292e-01 out_d_fake_latent_x2: -7.2122e-01 l_d_real_latent_x4: 4.9672e-01 out_d_real_latent_x4: 1.0592e+00 l_d_fake_latent_x4: 1.1713e+00 out_d_fake_latent_x4: 3.2463e-02 +2025-10-31 10:12:48,460 INFO: [28..][epoch: 0, step: 800, lr:(1.500e-04,)] [eta: 2 days, 1:02:04, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.3434e-01 l1_latent_x4_opt: 9.6441e-01 l_g_gan_latent_x2: 2.0035e-02 l_g_gan_latent_x4: 1.8574e-02 l_d_real_latent_x2: 1.5322e-01 out_d_real_latent_x2: 2.7582e+00 l_d_fake_latent_x2: 1.1486e-01 out_d_fake_latent_x2: -2.0035e+00 l_d_real_latent_x4: 2.8007e-01 out_d_real_latent_x4: 1.0201e+00 l_d_fake_latent_x4: 2.0671e-01 out_d_fake_latent_x4: -1.8574e+00 +2025-10-31 10:15:10,896 INFO: [28..][epoch: 0, step: 900, lr:(1.500e-04,)] [eta: 2 days, 1:00:24, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.7855e-01 l1_latent_x4_opt: 9.9375e-01 l_g_gan_latent_x2: 1.1668e-02 l_g_gan_latent_x4: 1.8186e-02 l_d_real_latent_x2: 4.6653e-01 out_d_real_latent_x2: 1.3999e+00 l_d_fake_latent_x2: 5.5760e-01 out_d_fake_latent_x2: -1.1668e+00 l_d_real_latent_x4: 7.5449e-01 out_d_real_latent_x4: 2.7540e-01 l_d_fake_latent_x4: 6.4454e-02 out_d_fake_latent_x4: -1.8184e+00 +2025-10-31 10:17:33,255 INFO: [28..][epoch: 0, step: 1,000, lr:(1.500e-04,)] [eta: 2 days, 0:58:26, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.9790e-01 l1_latent_x4_opt: 9.3669e-01 l_g_gan_latent_x2: 7.0877e-03 l_g_gan_latent_x4: 1.6401e-02 l_d_real_latent_x2: 4.2990e-01 out_d_real_latent_x2: 8.6179e-01 l_d_fake_latent_x2: 7.1084e-01 out_d_fake_latent_x2: -7.0876e-01 l_d_real_latent_x4: 2.9352e-02 out_d_real_latent_x4: 2.0482e+00 l_d_fake_latent_x4: 1.8978e-01 out_d_fake_latent_x4: -1.6399e+00 +2025-10-31 10:19:55,686 INFO: [28..][epoch: 0, step: 1,100, lr:(1.500e-04,)] [eta: 2 days, 0:56:31, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.9690e-01 l1_latent_x4_opt: 9.9333e-01 l_g_gan_latent_x2: 5.4685e-03 l_g_gan_latent_x4: 1.4038e-02 l_d_real_latent_x2: 4.6080e-01 out_d_real_latent_x2: 8.1743e-01 l_d_fake_latent_x2: 7.5283e-01 out_d_fake_latent_x2: -5.4684e-01 l_d_real_latent_x4: 5.3716e-01 out_d_real_latent_x4: 8.0717e-01 l_d_fake_latent_x4: 2.0793e-01 out_d_fake_latent_x4: -1.3964e+00 +2025-10-31 10:22:18,076 INFO: [28..][epoch: 0, step: 1,200, lr:(1.500e-04,)] [eta: 2 days, 0:54:28, time (data): 1.424 (0.000)] l1_latent_x2_opt: 8.2597e-01 l1_latent_x4_opt: 9.4327e-01 l_g_gan_latent_x2: -7.4026e-04 l_g_gan_latent_x4: 1.9578e-02 l_d_real_latent_x2: 7.5865e-01 out_d_real_latent_x2: 3.8635e-01 l_d_fake_latent_x2: 1.1096e+00 out_d_fake_latent_x2: 7.4026e-02 l_d_real_latent_x4: 5.6728e-02 out_d_real_latent_x4: 2.4002e+00 l_d_fake_latent_x4: 5.2383e-02 out_d_fake_latent_x4: -1.9577e+00 +2025-10-31 10:24:40,453 INFO: [28..][epoch: 0, step: 1,300, lr:(1.500e-04,)] [eta: 2 days, 0:52:21, time (data): 1.424 (0.000)] l1_latent_x2_opt: 8.1792e-01 l1_latent_x4_opt: 9.4385e-01 l_g_gan_latent_x2: -4.3518e-03 l_g_gan_latent_x4: 1.7431e-02 l_d_real_latent_x2: 8.4998e-01 out_d_real_latent_x2: 2.1764e-01 l_d_fake_latent_x2: 1.4621e+00 out_d_fake_latent_x2: 4.3515e-01 l_d_real_latent_x4: 3.5731e-02 out_d_real_latent_x4: 2.8707e+00 l_d_fake_latent_x4: 1.1418e-01 out_d_fake_latent_x4: -1.7431e+00 +2025-10-31 10:27:02,867 INFO: [28..][epoch: 0, step: 1,400, lr:(1.500e-04,)] [eta: 2 days, 0:50:14, time (data): 1.424 (0.000)] l1_latent_x2_opt: 8.3021e-01 l1_latent_x4_opt: 9.2189e-01 l_g_gan_latent_x2: 1.4421e-04 l_g_gan_latent_x4: 2.3023e-02 l_d_real_latent_x2: 9.0100e-01 out_d_real_latent_x2: 2.2798e-01 l_d_fake_latent_x2: 1.0724e+00 out_d_fake_latent_x2: -1.4423e-02 l_d_real_latent_x4: 2.9823e-02 out_d_real_latent_x4: 2.0325e+00 l_d_fake_latent_x4: 2.2837e-02 out_d_fake_latent_x4: -2.3023e+00 +2025-10-31 10:29:25,266 INFO: [28..][epoch: 0, step: 1,500, lr:(1.500e-04,)] [eta: 2 days, 0:48:05, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.4456e-01 l1_latent_x4_opt: 9.5414e-01 l_g_gan_latent_x2: 1.2200e-02 l_g_gan_latent_x4: 1.6809e-02 l_d_real_latent_x2: 1.4081e-01 out_d_real_latent_x2: 1.1907e+00 l_d_fake_latent_x2: 1.8742e-01 out_d_fake_latent_x2: -1.2199e+00 l_d_real_latent_x4: 1.4470e-01 out_d_real_latent_x4: 1.8425e+00 l_d_fake_latent_x4: 1.1297e-01 out_d_fake_latent_x4: -1.6808e+00 +2025-10-31 10:31:47,687 INFO: [28..][epoch: 0, step: 1,600, lr:(1.500e-04,)] [eta: 2 days, 0:45:55, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.7473e-01 l1_latent_x4_opt: 9.6580e-01 l_g_gan_latent_x2: 1.3061e-02 l_g_gan_latent_x4: 1.6900e-02 l_d_real_latent_x2: 1.2742e-01 out_d_real_latent_x2: 1.9836e+00 l_d_fake_latent_x2: 1.9501e-01 out_d_fake_latent_x2: -1.3061e+00 l_d_real_latent_x4: 8.5256e-02 out_d_real_latent_x4: 1.7715e+00 l_d_fake_latent_x4: 6.7598e-02 out_d_fake_latent_x4: -1.6868e+00 +2025-10-31 10:34:10,050 INFO: [28..][epoch: 0, step: 1,700, lr:(1.500e-04,)] [eta: 2 days, 0:43:40, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.4727e-01 l1_latent_x4_opt: 9.4807e-01 l_g_gan_latent_x2: 1.6778e-02 l_g_gan_latent_x4: 1.6067e-02 l_d_real_latent_x2: 1.1548e-01 out_d_real_latent_x2: 1.5811e+00 l_d_fake_latent_x2: 7.4614e-02 out_d_fake_latent_x2: -1.6773e+00 l_d_real_latent_x4: 2.4527e-01 out_d_real_latent_x4: 9.1174e-01 l_d_fake_latent_x4: 1.3644e-01 out_d_fake_latent_x4: -1.6048e+00 +2025-10-31 10:36:32,449 INFO: [28..][epoch: 0, step: 1,800, lr:(1.500e-04,)] [eta: 2 days, 0:41:26, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.4837e-01 l1_latent_x4_opt: 9.3895e-01 l_g_gan_latent_x2: 1.5035e-02 l_g_gan_latent_x4: 2.0728e-02 l_d_real_latent_x2: 6.5341e-02 out_d_real_latent_x2: 1.6035e+00 l_d_fake_latent_x2: 8.8106e-02 out_d_fake_latent_x2: -1.5035e+00 l_d_real_latent_x4: 3.6393e-02 out_d_real_latent_x4: 1.8057e+00 l_d_fake_latent_x4: 1.1103e-01 out_d_fake_latent_x4: -2.0723e+00 +2025-10-31 10:38:54,839 INFO: [28..][epoch: 0, step: 1,900, lr:(1.500e-04,)] [eta: 2 days, 0:39:11, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.2353e-01 l1_latent_x4_opt: 9.3615e-01 l_g_gan_latent_x2: 1.8642e-02 l_g_gan_latent_x4: 1.8195e-02 l_d_real_latent_x2: 2.8748e-01 out_d_real_latent_x2: 1.0830e+00 l_d_fake_latent_x2: 5.1139e-02 out_d_fake_latent_x2: -1.8640e+00 l_d_real_latent_x4: 4.0007e-02 out_d_real_latent_x4: 2.1172e+00 l_d_fake_latent_x4: 3.3174e-02 out_d_fake_latent_x4: -1.8194e+00 +2025-10-31 10:41:17,329 INFO: [28..][epoch: 0, step: 2,000, lr:(1.500e-04,)] [eta: 2 days, 0:37:01, time (data): 1.424 (0.000)] l1_latent_x2_opt: 8.4299e-01 l1_latent_x4_opt: 9.7314e-01 l_g_gan_latent_x2: -8.0960e-03 l_g_gan_latent_x4: 1.4243e-02 l_d_real_latent_x2: 1.6809e+00 out_d_real_latent_x2: -6.1254e-01 l_d_fake_latent_x2: 1.8392e+00 out_d_fake_latent_x2: 8.0914e-01 l_d_real_latent_x4: 1.8214e-01 out_d_real_latent_x4: 1.0491e+00 l_d_fake_latent_x4: 1.9794e-01 out_d_fake_latent_x4: -1.4166e+00 +2025-10-31 10:43:39,730 INFO: [28..][epoch: 0, step: 2,100, lr:(1.500e-04,)] [eta: 2 days, 0:34:45, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.9510e-01 l1_latent_x4_opt: 1.0147e+00 l_g_gan_latent_x2: 8.0496e-03 l_g_gan_latent_x4: 1.9343e-03 l_d_real_latent_x2: 6.3879e-01 out_d_real_latent_x2: 4.3704e-01 l_d_fake_latent_x2: 4.6819e-01 out_d_fake_latent_x2: -8.0487e-01 l_d_real_latent_x4: 9.6796e-01 out_d_real_latent_x4: 2.8743e-01 l_d_fake_latent_x4: 9.8193e-01 out_d_fake_latent_x4: -1.9338e-01 +2025-10-31 10:46:02,250 INFO: [28..][epoch: 0, step: 2,200, lr:(1.500e-04,)] [eta: 2 days, 0:32:35, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.4200e-01 l1_latent_x4_opt: 1.0106e+00 l_g_gan_latent_x2: 1.7102e-02 l_g_gan_latent_x4: 3.6228e-03 l_d_real_latent_x2: 1.3510e-01 out_d_real_latent_x2: 1.0352e+00 l_d_fake_latent_x2: 5.9822e-02 out_d_fake_latent_x2: -1.7101e+00 l_d_real_latent_x4: 6.3366e-01 out_d_real_latent_x4: 5.8207e-01 l_d_fake_latent_x4: 8.2873e-01 out_d_fake_latent_x4: -3.6220e-01 +2025-10-31 10:48:24,773 INFO: [28..][epoch: 0, step: 2,300, lr:(1.500e-04,)] [eta: 2 days, 0:30:24, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.2893e-01 l1_latent_x4_opt: 9.3300e-01 l_g_gan_latent_x2: 1.8417e-02 l_g_gan_latent_x4: 1.7734e-02 l_d_real_latent_x2: 5.9127e-02 out_d_real_latent_x2: 2.3077e+00 l_d_fake_latent_x2: 4.8652e-02 out_d_fake_latent_x2: -1.8417e+00 l_d_real_latent_x4: 3.7802e-02 out_d_real_latent_x4: 1.6933e+00 l_d_fake_latent_x4: 1.9620e-02 out_d_fake_latent_x4: -1.7730e+00 +2025-10-31 10:50:47,288 INFO: [28..][epoch: 0, step: 2,400, lr:(1.500e-04,)] [eta: 2 days, 0:28:12, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.5124e-01 l1_latent_x4_opt: 9.5862e-01 l_g_gan_latent_x2: 1.5978e-02 l_g_gan_latent_x4: 1.7477e-02 l_d_real_latent_x2: 1.2808e-01 out_d_real_latent_x2: 1.8586e+00 l_d_fake_latent_x2: 9.8496e-02 out_d_fake_latent_x2: -1.5977e+00 l_d_real_latent_x4: 2.1909e-01 out_d_real_latent_x4: 1.4260e+00 l_d_fake_latent_x4: 1.9685e-01 out_d_fake_latent_x4: -1.7464e+00 +2025-10-31 10:53:09,756 INFO: [28..][epoch: 0, step: 2,500, lr:(1.500e-04,)] [eta: 2 days, 0:25:57, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.3134e-01 l1_latent_x4_opt: 1.0079e+00 l_g_gan_latent_x2: 1.9536e-02 l_g_gan_latent_x4: 8.3271e-03 l_d_real_latent_x2: 6.1306e-02 out_d_real_latent_x2: 1.4143e+00 l_d_fake_latent_x2: 8.6641e-02 out_d_fake_latent_x2: -1.9530e+00 l_d_real_latent_x4: 2.6442e-01 out_d_real_latent_x4: 1.0088e+00 l_d_fake_latent_x4: 4.6888e-01 out_d_fake_latent_x4: -8.3147e-01 +2025-10-31 10:53:09,757 INFO: Saving models and training states. +2025-10-31 10:53:20,083 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 10:54:30,006 INFO: Validation val_x2 + # l1_latent: 0.7710 Best: 0.7710 @ 2500 iter + # pixel_psnr_pt: 24.9667 Best: 24.9667 @ 2500 iter + +2025-10-31 10:57:07,119 INFO: Validation val_x4 + # l1_latent: 0.9526 Best: 0.9526 @ 2500 iter + # l2_latent: 1.5121 Best: 1.5121 @ 2500 iter + # pixel_psnr_pt: 23.7237 Best: 23.7237 @ 2500 iter + +2025-10-31 10:59:29,779 INFO: [28..][epoch: 0, step: 2,600, lr:(1.500e-04,)] [eta: 2 days, 3:29:59, time (data): 1.426 (0.000)] l1_latent_x2_opt: 7.3856e-01 l1_latent_x4_opt: 9.2593e-01 l_g_gan_latent_x2: 1.7527e-02 l_g_gan_latent_x4: 1.8032e-02 l_d_real_latent_x2: 5.2013e-02 out_d_real_latent_x2: 2.1709e+00 l_d_fake_latent_x2: 4.7909e-02 out_d_fake_latent_x2: -1.7527e+00 l_d_real_latent_x4: 4.4145e-02 out_d_real_latent_x4: 1.6739e+00 l_d_fake_latent_x4: 2.5741e-02 out_d_fake_latent_x4: -1.8029e+00 +2025-10-31 11:01:52,347 INFO: [28..][epoch: 0, step: 2,700, lr:(1.500e-04,)] [eta: 2 days, 3:20:45, time (data): 1.426 (0.000)] l1_latent_x2_opt: 7.3643e-01 l1_latent_x4_opt: 9.5250e-01 l_g_gan_latent_x2: 1.6061e-02 l_g_gan_latent_x4: 2.0462e-02 l_d_real_latent_x2: 8.5156e-02 out_d_real_latent_x2: 1.4484e+00 l_d_fake_latent_x2: 7.0952e-02 out_d_fake_latent_x2: -1.6060e+00 l_d_real_latent_x4: 7.7639e-02 out_d_real_latent_x4: 1.8044e+00 l_d_fake_latent_x4: 7.8205e-02 out_d_fake_latent_x4: -2.0461e+00 +2025-10-31 11:04:14,745 INFO: [28..][epoch: 0, step: 2,800, lr:(1.500e-04,)] [eta: 2 days, 3:11:52, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.9393e-01 l1_latent_x4_opt: 9.2893e-01 l_g_gan_latent_x2: 1.0937e-02 l_g_gan_latent_x4: 1.6643e-02 l_d_real_latent_x2: 5.8411e-01 out_d_real_latent_x2: 6.4541e-01 l_d_fake_latent_x2: 3.3179e-01 out_d_fake_latent_x2: -1.0935e+00 l_d_real_latent_x4: 7.0646e-02 out_d_real_latent_x4: 1.1984e+00 l_d_fake_latent_x4: 1.4586e-01 out_d_fake_latent_x4: -1.6639e+00 +2025-10-31 11:06:37,243 INFO: [28..][epoch: 0, step: 2,900, lr:(1.500e-04,)] [eta: 2 days, 3:03:31, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.2138e-01 l1_latent_x4_opt: 9.1364e-01 l_g_gan_latent_x2: 1.6193e-02 l_g_gan_latent_x4: 1.9485e-02 l_d_real_latent_x2: 6.9484e-02 out_d_real_latent_x2: 1.2507e+00 l_d_fake_latent_x2: 8.9511e-02 out_d_fake_latent_x2: -1.6191e+00 l_d_real_latent_x4: 1.8705e-02 out_d_real_latent_x4: 2.3250e+00 l_d_fake_latent_x4: 1.8231e-02 out_d_fake_latent_x4: -1.9485e+00 +2025-10-31 11:08:59,722 INFO: [28..][epoch: 0, step: 3,000, lr:(1.500e-04,)] [eta: 2 days, 2:55:32, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.2892e-01 l1_latent_x4_opt: 9.7755e-01 l_g_gan_latent_x2: 2.1425e-02 l_g_gan_latent_x4: 1.9012e-02 l_d_real_latent_x2: 9.5996e-02 out_d_real_latent_x2: 1.4655e+00 l_d_fake_latent_x2: 3.8405e-02 out_d_fake_latent_x2: -2.1424e+00 l_d_real_latent_x4: 2.6602e-01 out_d_real_latent_x4: 1.2986e+00 l_d_fake_latent_x4: 5.0400e-02 out_d_fake_latent_x4: -1.9007e+00 +2025-10-31 11:11:22,295 INFO: [28..][epoch: 0, step: 3,100, lr:(1.500e-04,)] [eta: 2 days, 2:47:59, time (data): 1.426 (0.001)] l1_latent_x2_opt: 7.4725e-01 l1_latent_x4_opt: 9.4971e-01 l_g_gan_latent_x2: 1.7061e-02 l_g_gan_latent_x4: 1.7017e-02 l_d_real_latent_x2: 5.7250e-02 out_d_real_latent_x2: 2.0999e+00 l_d_fake_latent_x2: 5.8882e-02 out_d_fake_latent_x2: -1.7061e+00 l_d_real_latent_x4: 1.4282e-01 out_d_real_latent_x4: 1.4318e+00 l_d_fake_latent_x4: 8.1762e-02 out_d_fake_latent_x4: -1.7005e+00 +2025-10-31 11:13:54,857 INFO: [28..][epoch: 1, step: 3,200, lr:(1.500e-04,)] [eta: 2 days, 2:47:06, time (data): 1.480 (0.047)] l1_latent_x2_opt: 8.0620e-01 l1_latent_x4_opt: 9.7041e-01 l_g_gan_latent_x2: -2.9374e-03 l_g_gan_latent_x4: 9.7660e-03 l_d_real_latent_x2: 3.9424e-01 out_d_real_latent_x2: 1.1119e+00 l_d_fake_latent_x2: 1.4902e+00 out_d_fake_latent_x2: 2.9375e-01 l_d_real_latent_x4: 5.3861e-01 out_d_real_latent_x4: 5.0023e-01 l_d_fake_latent_x4: 2.1132e-01 out_d_fake_latent_x4: -9.7628e-01 +2025-10-31 11:16:17,266 INFO: [28..][epoch: 1, step: 3,300, lr:(1.500e-04,)] [eta: 2 days, 2:39:52, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.5471e-01 l1_latent_x4_opt: 9.2359e-01 l_g_gan_latent_x2: 1.2589e-02 l_g_gan_latent_x4: 1.5328e-02 l_d_real_latent_x2: 8.1194e-02 out_d_real_latent_x2: 1.6793e+00 l_d_fake_latent_x2: 2.6289e-01 out_d_fake_latent_x2: -1.2589e+00 l_d_real_latent_x4: 2.1856e-02 out_d_real_latent_x4: 1.9687e+00 l_d_fake_latent_x4: 4.2601e-02 out_d_fake_latent_x4: -1.5328e+00 +2025-10-31 11:18:39,765 INFO: [28..][epoch: 1, step: 3,400, lr:(1.500e-04,)] [eta: 2 days, 2:32:59, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.7534e-01 l1_latent_x4_opt: 9.8715e-01 l_g_gan_latent_x2: 1.5306e-02 l_g_gan_latent_x4: 1.1937e-02 l_d_real_latent_x2: 3.6967e-01 out_d_real_latent_x2: 7.4189e-01 l_d_fake_latent_x2: 1.4685e-01 out_d_fake_latent_x2: -1.5303e+00 l_d_real_latent_x4: 7.7704e-01 out_d_real_latent_x4: 5.3093e-01 l_d_fake_latent_x4: 4.1951e-01 out_d_fake_latent_x4: -1.1897e+00 +2025-10-31 11:21:02,237 INFO: [28..][epoch: 1, step: 3,500, lr:(1.500e-04,)] [eta: 2 days, 2:26:20, time (data): 1.425 (0.000)] l1_latent_x2_opt: 8.1267e-01 l1_latent_x4_opt: 9.0993e-01 l_g_gan_latent_x2: -2.8343e-03 l_g_gan_latent_x4: 1.8521e-02 l_d_real_latent_x2: 7.1854e-01 out_d_real_latent_x2: 3.5398e-01 l_d_fake_latent_x2: 1.3155e+00 out_d_fake_latent_x2: 2.8345e-01 l_d_real_latent_x4: 2.5457e-02 out_d_real_latent_x4: 1.9958e+00 l_d_fake_latent_x4: 5.2431e-02 out_d_fake_latent_x4: -1.8519e+00 +2025-10-31 11:23:24,655 INFO: [28..][epoch: 1, step: 3,600, lr:(1.500e-04,)] [eta: 2 days, 2:19:53, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.1694e-01 l1_latent_x4_opt: 9.0314e-01 l_g_gan_latent_x2: 1.9581e-02 l_g_gan_latent_x4: 1.9109e-02 l_d_real_latent_x2: 5.7082e-02 out_d_real_latent_x2: 1.4389e+00 l_d_fake_latent_x2: 5.7681e-02 out_d_fake_latent_x2: -1.9579e+00 l_d_real_latent_x4: 2.5769e-02 out_d_real_latent_x4: 1.8931e+00 l_d_fake_latent_x4: 3.3384e-02 out_d_fake_latent_x4: -1.9108e+00 +2025-10-31 11:25:47,162 INFO: [28..][epoch: 1, step: 3,700, lr:(1.500e-04,)] [eta: 2 days, 2:13:43, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.1685e-01 l1_latent_x4_opt: 9.1946e-01 l_g_gan_latent_x2: 1.7969e-02 l_g_gan_latent_x4: 1.7412e-02 l_d_real_latent_x2: 3.3342e-02 out_d_real_latent_x2: 1.5427e+00 l_d_fake_latent_x2: 6.6628e-02 out_d_fake_latent_x2: -1.7962e+00 l_d_real_latent_x4: 2.1714e-02 out_d_real_latent_x4: 2.1952e+00 l_d_fake_latent_x4: 3.0672e-02 out_d_fake_latent_x4: -1.7412e+00 +2025-10-31 11:28:09,593 INFO: [28..][epoch: 1, step: 3,800, lr:(1.500e-04,)] [eta: 2 days, 2:07:42, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.2063e-01 l1_latent_x4_opt: 9.1186e-01 l_g_gan_latent_x2: 2.1902e-02 l_g_gan_latent_x4: 1.6614e-02 l_d_real_latent_x2: 3.3953e-02 out_d_real_latent_x2: 2.0973e+00 l_d_fake_latent_x2: 1.7110e-02 out_d_fake_latent_x2: -2.1902e+00 l_d_real_latent_x4: 4.5667e-02 out_d_real_latent_x4: 1.9765e+00 l_d_fake_latent_x4: 7.9707e-02 out_d_fake_latent_x4: -1.6614e+00 +2025-10-31 11:30:31,989 INFO: [28..][epoch: 1, step: 3,900, lr:(1.500e-04,)] [eta: 2 days, 2:01:51, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.9768e-01 l1_latent_x4_opt: 9.1726e-01 l_g_gan_latent_x2: 2.0915e-04 l_g_gan_latent_x4: 2.1361e-02 l_d_real_latent_x2: 6.0238e-01 out_d_real_latent_x2: 5.4475e-01 l_d_fake_latent_x2: 1.0953e+00 out_d_fake_latent_x2: -2.0040e-02 l_d_real_latent_x4: 1.7453e-02 out_d_real_latent_x4: 2.2836e+00 l_d_fake_latent_x4: 1.2030e-02 out_d_fake_latent_x4: -2.1360e+00 +2025-10-31 11:32:54,408 INFO: [28..][epoch: 1, step: 4,000, lr:(1.500e-04,)] [eta: 2 days, 1:56:12, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.0480e-01 l1_latent_x4_opt: 9.3160e-01 l_g_gan_latent_x2: 1.9067e-02 l_g_gan_latent_x4: 1.6819e-02 l_d_real_latent_x2: 4.5628e-02 out_d_real_latent_x2: 2.1065e+00 l_d_fake_latent_x2: 3.8373e-02 out_d_fake_latent_x2: -1.9066e+00 l_d_real_latent_x4: 6.4910e-02 out_d_real_latent_x4: 1.8116e+00 l_d_fake_latent_x4: 7.9207e-02 out_d_fake_latent_x4: -1.6818e+00 +2025-10-31 11:35:16,841 INFO: [28..][epoch: 1, step: 4,100, lr:(1.500e-04,)] [eta: 2 days, 1:50:42, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.4967e-01 l1_latent_x4_opt: 9.7807e-01 l_g_gan_latent_x2: 1.4375e-02 l_g_gan_latent_x4: -1.7202e-03 l_d_real_latent_x2: 4.1925e-01 out_d_real_latent_x2: 6.4933e-01 l_d_fake_latent_x2: 8.7922e-02 out_d_fake_latent_x2: -1.4374e+00 l_d_real_latent_x4: 3.3285e-01 out_d_real_latent_x4: 1.2873e+00 l_d_fake_latent_x4: 1.3330e+00 out_d_fake_latent_x4: 1.7235e-01 +2025-10-31 11:37:39,279 INFO: [28..][epoch: 1, step: 4,200, lr:(1.500e-04,)] [eta: 2 days, 1:45:21, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.5745e-01 l1_latent_x4_opt: 9.3617e-01 l_g_gan_latent_x2: 1.0869e-02 l_g_gan_latent_x4: 1.8168e-02 l_d_real_latent_x2: 1.9235e-01 out_d_real_latent_x2: 9.5705e-01 l_d_fake_latent_x2: 2.9254e-01 out_d_fake_latent_x2: -1.0860e+00 l_d_real_latent_x4: 3.2683e-02 out_d_real_latent_x4: 1.8672e+00 l_d_fake_latent_x4: 2.5647e-02 out_d_fake_latent_x4: -1.8168e+00 +2025-10-31 11:40:01,715 INFO: [28..][epoch: 1, step: 4,300, lr:(1.500e-04,)] [eta: 2 days, 1:40:09, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.0514e-01 l1_latent_x4_opt: 9.8903e-01 l_g_gan_latent_x2: 2.2402e-02 l_g_gan_latent_x4: 1.2954e-02 l_d_real_latent_x2: 2.3946e-02 out_d_real_latent_x2: 2.0548e+00 l_d_fake_latent_x2: 1.7645e-02 out_d_fake_latent_x2: -2.2402e+00 l_d_real_latent_x4: 1.3373e+00 out_d_real_latent_x4: -3.3592e-01 l_d_fake_latent_x4: 5.2600e-02 out_d_fake_latent_x4: -1.2926e+00 +2025-10-31 11:42:24,126 INFO: [28..][epoch: 1, step: 4,400, lr:(1.500e-04,)] [eta: 2 days, 1:35:04, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.8964e-01 l1_latent_x4_opt: 9.6082e-01 l_g_gan_latent_x2: 1.2600e-02 l_g_gan_latent_x4: 1.3744e-02 l_d_real_latent_x2: 4.1776e-01 out_d_real_latent_x2: 6.5548e-01 l_d_fake_latent_x2: 2.2658e-01 out_d_fake_latent_x2: -1.2582e+00 l_d_real_latent_x4: 2.6708e-01 out_d_real_latent_x4: 1.0530e+00 l_d_fake_latent_x4: 2.5386e-01 out_d_fake_latent_x4: -1.3741e+00 +2025-10-31 11:44:46,569 INFO: [28..][epoch: 1, step: 4,500, lr:(1.500e-04,)] [eta: 2 days, 1:30:07, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.8892e-01 l1_latent_x4_opt: 8.9232e-01 l_g_gan_latent_x2: 4.5313e-04 l_g_gan_latent_x4: 1.8218e-02 l_d_real_latent_x2: 5.8868e-01 out_d_real_latent_x2: 4.5992e-01 l_d_fake_latent_x2: 1.0345e+00 out_d_fake_latent_x2: -4.5103e-02 l_d_real_latent_x4: 5.4092e-02 out_d_real_latent_x4: 1.2264e+00 l_d_fake_latent_x4: 9.6408e-02 out_d_fake_latent_x4: -1.8211e+00 +2025-10-31 11:47:09,009 INFO: [28..][epoch: 1, step: 4,600, lr:(1.500e-04,)] [eta: 2 days, 1:25:16, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.7345e-01 l1_latent_x4_opt: 9.7325e-01 l_g_gan_latent_x2: 1.1248e-02 l_g_gan_latent_x4: 9.9389e-03 l_d_real_latent_x2: 5.3674e-01 out_d_real_latent_x2: 5.1680e-01 l_d_fake_latent_x2: 2.4900e-01 out_d_fake_latent_x2: -1.1246e+00 l_d_real_latent_x4: 5.1339e-01 out_d_real_latent_x4: 7.7305e-01 l_d_fake_latent_x4: 4.5723e-01 out_d_fake_latent_x4: -9.9339e-01 +2025-10-31 11:49:31,445 INFO: [28..][epoch: 1, step: 4,700, lr:(1.500e-04,)] [eta: 2 days, 1:20:32, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.2149e-01 l1_latent_x4_opt: 8.7189e-01 l_g_gan_latent_x2: 1.8990e-02 l_g_gan_latent_x4: 2.1538e-02 l_d_real_latent_x2: 3.9227e-02 out_d_real_latent_x2: 1.7097e+00 l_d_fake_latent_x2: 3.4843e-02 out_d_fake_latent_x2: -1.8989e+00 l_d_real_latent_x4: 3.5917e-02 out_d_real_latent_x4: 1.5533e+00 l_d_fake_latent_x4: 4.1205e-02 out_d_fake_latent_x4: -2.1536e+00 +2025-10-31 11:51:53,897 INFO: [28..][epoch: 1, step: 4,800, lr:(1.500e-04,)] [eta: 2 days, 1:15:54, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.1992e-01 l1_latent_x4_opt: 9.7340e-01 l_g_gan_latent_x2: 1.4246e-02 l_g_gan_latent_x4: -4.8936e-03 l_d_real_latent_x2: 1.3368e-01 out_d_real_latent_x2: 1.7652e+00 l_d_fake_latent_x2: 3.2812e-01 out_d_fake_latent_x2: -1.4234e+00 l_d_real_latent_x4: 1.7682e-01 out_d_real_latent_x4: 1.6387e+00 l_d_fake_latent_x4: 1.6687e+00 out_d_fake_latent_x4: 4.8923e-01 +2025-10-31 11:54:16,286 INFO: [28..][epoch: 1, step: 4,900, lr:(1.500e-04,)] [eta: 2 days, 1:11:20, time (data): 1.424 (0.000)] l1_latent_x2_opt: 8.0225e-01 l1_latent_x4_opt: 8.7496e-01 l_g_gan_latent_x2: -2.0920e-03 l_g_gan_latent_x4: 2.1328e-02 l_d_real_latent_x2: 4.8687e-01 out_d_real_latent_x2: 6.4236e-01 l_d_fake_latent_x2: 1.2907e+00 out_d_fake_latent_x2: 2.1060e-01 l_d_real_latent_x4: 5.2554e-02 out_d_real_latent_x4: 1.6483e+00 l_d_fake_latent_x4: 8.9992e-02 out_d_fake_latent_x4: -2.1325e+00 +2025-10-31 11:56:38,700 INFO: [28..][epoch: 1, step: 5,000, lr:(1.500e-04,)] [eta: 2 days, 1:06:52, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.9350e-01 l1_latent_x4_opt: 9.1652e-01 l_g_gan_latent_x2: 2.4578e-02 l_g_gan_latent_x4: 1.6267e-02 l_d_real_latent_x2: 1.8030e-02 out_d_real_latent_x2: 2.6475e+00 l_d_fake_latent_x2: 2.4455e-02 out_d_fake_latent_x2: -2.4577e+00 l_d_real_latent_x4: 4.1233e-02 out_d_real_latent_x4: 1.8745e+00 l_d_fake_latent_x4: 4.5323e-02 out_d_fake_latent_x4: -1.6267e+00 +2025-10-31 11:56:38,702 INFO: Saving models and training states. +2025-10-31 11:58:02,576 INFO: Validation val_x2 + # l1_latent: 0.7663 Best: 0.7710 @ 2500 iter + # pixel_psnr_pt: 25.2672 Best: 25.2672 @ 5000 iter + +2025-10-31 12:00:25,244 INFO: Validation val_x4 + # l1_latent: 0.9290 Best: 0.9526 @ 2500 iter + # l2_latent: 1.4313 Best: 1.5121 @ 2500 iter + # pixel_psnr_pt: 24.5013 Best: 24.5013 @ 5000 iter + +2025-10-31 12:02:47,632 INFO: [28..][epoch: 1, step: 5,100, lr:(1.500e-04,)] [eta: 2 days, 2:31:13, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.7233e-01 l1_latent_x4_opt: 9.5959e-01 l_g_gan_latent_x2: 4.9532e-03 l_g_gan_latent_x4: 1.9211e-02 l_d_real_latent_x2: 4.8587e-01 out_d_real_latent_x2: 7.3868e-01 l_d_fake_latent_x2: 8.3424e-01 out_d_fake_latent_x2: -4.9505e-01 l_d_real_latent_x4: 4.1003e-01 out_d_real_latent_x4: 7.5626e-01 l_d_fake_latent_x4: 5.8739e-02 out_d_fake_latent_x4: -1.9177e+00 +2025-10-31 12:05:10,127 INFO: [28..][epoch: 1, step: 5,200, lr:(1.500e-04,)] [eta: 2 days, 2:25:09, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.2764e-01 l1_latent_x4_opt: 9.0356e-01 l_g_gan_latent_x2: 1.5212e-02 l_g_gan_latent_x4: 1.9273e-02 l_d_real_latent_x2: 8.4074e-02 out_d_real_latent_x2: 1.6097e+00 l_d_fake_latent_x2: 2.1109e-01 out_d_fake_latent_x2: -1.5212e+00 l_d_real_latent_x4: 3.5537e-02 out_d_real_latent_x4: 2.2315e+00 l_d_fake_latent_x4: 1.7943e-02 out_d_fake_latent_x4: -1.9272e+00 +2025-10-31 12:07:32,474 INFO: [28..][epoch: 1, step: 5,300, lr:(1.500e-04,)] [eta: 2 days, 2:19:11, time (data): 1.424 (0.000)] l1_latent_x2_opt: 7.0814e-01 l1_latent_x4_opt: 9.0261e-01 l_g_gan_latent_x2: 2.4232e-02 l_g_gan_latent_x4: 1.8887e-02 l_d_real_latent_x2: 5.4518e-02 out_d_real_latent_x2: 2.0963e+00 l_d_fake_latent_x2: 2.8368e-02 out_d_fake_latent_x2: -2.4231e+00 l_d_real_latent_x4: 2.0259e-02 out_d_real_latent_x4: 2.4891e+00 l_d_fake_latent_x4: 1.1365e-02 out_d_fake_latent_x4: -1.8887e+00 +2025-10-31 12:09:54,775 INFO: [28..][epoch: 1, step: 5,400, lr:(1.500e-04,)] [eta: 2 days, 2:13:19, time (data): 1.423 (0.000)] l1_latent_x2_opt: 7.0735e-01 l1_latent_x4_opt: 9.0155e-01 l_g_gan_latent_x2: 2.3658e-02 l_g_gan_latent_x4: 2.4743e-02 l_d_real_latent_x2: 4.3867e-02 out_d_real_latent_x2: 2.1327e+00 l_d_fake_latent_x2: 3.3261e-02 out_d_fake_latent_x2: -2.3657e+00 l_d_real_latent_x4: 6.4364e-02 out_d_real_latent_x4: 2.1792e+00 l_d_fake_latent_x4: 1.0205e-02 out_d_fake_latent_x4: -2.4740e+00 +2025-10-31 12:12:17,133 INFO: [28..][epoch: 1, step: 5,500, lr:(1.500e-04,)] [eta: 2 days, 2:07:37, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.9973e-01 l1_latent_x4_opt: 9.0912e-01 l_g_gan_latent_x2: 2.5872e-02 l_g_gan_latent_x4: 2.4437e-02 l_d_real_latent_x2: 2.7491e-02 out_d_real_latent_x2: 2.2579e+00 l_d_fake_latent_x2: 1.5022e-02 out_d_fake_latent_x2: -2.5862e+00 l_d_real_latent_x4: 3.7319e-02 out_d_real_latent_x4: 1.9829e+00 l_d_fake_latent_x4: 1.2226e-02 out_d_fake_latent_x4: -2.4435e+00 +2025-10-31 12:14:39,569 INFO: [28..][epoch: 1, step: 5,600, lr:(1.500e-04,)] [eta: 2 days, 2:02:03, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.9276e-01 l1_latent_x4_opt: 9.3449e-01 l_g_gan_latent_x2: 2.7548e-02 l_g_gan_latent_x4: 9.5936e-03 l_d_real_latent_x2: 2.0963e-02 out_d_real_latent_x2: 2.5084e+00 l_d_fake_latent_x2: 1.5903e-02 out_d_fake_latent_x2: -2.7530e+00 l_d_real_latent_x4: 9.8393e-02 out_d_real_latent_x4: 2.0110e+00 l_d_fake_latent_x4: 5.2680e-01 out_d_fake_latent_x4: -9.5878e-01 +2025-10-31 12:17:01,915 INFO: [28..][epoch: 1, step: 5,700, lr:(1.500e-04,)] [eta: 2 days, 1:56:34, time (data): 1.423 (0.000)] l1_latent_x2_opt: 6.9114e-01 l1_latent_x4_opt: 9.1738e-01 l_g_gan_latent_x2: 2.7801e-02 l_g_gan_latent_x4: 1.8848e-02 l_d_real_latent_x2: 1.0405e-02 out_d_real_latent_x2: 2.4600e+00 l_d_fake_latent_x2: 1.2791e-02 out_d_fake_latent_x2: -2.7799e+00 l_d_real_latent_x4: 3.2585e-02 out_d_real_latent_x4: 2.5767e+00 l_d_fake_latent_x4: 2.4337e-02 out_d_fake_latent_x4: -1.8847e+00 +2025-10-31 12:19:24,216 INFO: [28..][epoch: 1, step: 5,800, lr:(1.500e-04,)] [eta: 2 days, 1:51:10, time (data): 1.423 (0.000)] l1_latent_x2_opt: 6.8469e-01 l1_latent_x4_opt: 9.0793e-01 l_g_gan_latent_x2: 2.7606e-02 l_g_gan_latent_x4: 1.8852e-02 l_d_real_latent_x2: 8.2233e-03 out_d_real_latent_x2: 2.5427e+00 l_d_fake_latent_x2: 2.5324e-02 out_d_fake_latent_x2: -2.7597e+00 l_d_real_latent_x4: 2.4702e-02 out_d_real_latent_x4: 2.6001e+00 l_d_fake_latent_x4: 1.8519e-02 out_d_fake_latent_x4: -1.8852e+00 +2025-10-31 12:21:46,603 INFO: [28..][epoch: 1, step: 5,900, lr:(1.500e-04,)] [eta: 2 days, 1:45:55, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.8949e-01 l1_latent_x4_opt: 9.1677e-01 l_g_gan_latent_x2: 2.9651e-02 l_g_gan_latent_x4: 1.7159e-02 l_d_real_latent_x2: 1.6727e-02 out_d_real_latent_x2: 2.5782e+00 l_d_fake_latent_x2: 1.3263e-02 out_d_fake_latent_x2: -2.9637e+00 l_d_real_latent_x4: 3.6663e-02 out_d_real_latent_x4: 2.1943e+00 l_d_fake_latent_x4: 5.3177e-02 out_d_fake_latent_x4: -1.7156e+00 +2025-10-31 12:24:09,038 INFO: [28..][epoch: 1, step: 6,000, lr:(1.500e-04,)] [eta: 2 days, 1:40:46, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.7926e-01 l1_latent_x4_opt: 9.1980e-01 l_g_gan_latent_x2: 2.8643e-02 l_g_gan_latent_x4: 1.5231e-02 l_d_real_latent_x2: 2.3128e-03 out_d_real_latent_x2: 3.0173e+00 l_d_fake_latent_x2: 1.1095e-02 out_d_fake_latent_x2: -2.8636e+00 l_d_real_latent_x4: 7.9094e-02 out_d_real_latent_x4: 1.2568e+00 l_d_fake_latent_x4: 2.5527e-02 out_d_fake_latent_x4: -1.5230e+00 +2025-10-31 12:26:31,389 INFO: [28..][epoch: 1, step: 6,100, lr:(1.500e-04,)] [eta: 2 days, 1:35:41, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.8018e-01 l1_latent_x4_opt: 8.9907e-01 l_g_gan_latent_x2: 2.9571e-02 l_g_gan_latent_x4: 2.2509e-02 l_d_real_latent_x2: 1.1525e-02 out_d_real_latent_x2: 2.7406e+00 l_d_fake_latent_x2: 4.9288e-03 out_d_fake_latent_x2: -2.9548e+00 l_d_real_latent_x4: 8.7850e-02 out_d_real_latent_x4: 1.1749e+00 l_d_fake_latent_x4: 6.1010e-02 out_d_fake_latent_x4: -2.2503e+00 +2025-10-31 12:28:53,878 INFO: [28..][epoch: 1, step: 6,200, lr:(1.500e-04,)] [eta: 2 days, 1:30:43, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.6945e-01 l1_latent_x4_opt: 9.5606e-01 l_g_gan_latent_x2: 2.8353e-02 l_g_gan_latent_x4: 8.2795e-03 l_d_real_latent_x2: 1.0526e-02 out_d_real_latent_x2: 2.8328e+00 l_d_fake_latent_x2: 1.5913e-02 out_d_fake_latent_x2: -2.8345e+00 l_d_real_latent_x4: 3.7205e-01 out_d_real_latent_x4: 1.0648e+00 l_d_fake_latent_x4: 6.3065e-01 out_d_fake_latent_x4: -8.2776e-01 +2025-10-31 12:31:16,374 INFO: [28..][epoch: 1, step: 6,300, lr:(1.500e-04,)] [eta: 2 days, 1:25:51, time (data): 1.425 (0.001)] l1_latent_x2_opt: 6.7462e-01 l1_latent_x4_opt: 9.1651e-01 l_g_gan_latent_x2: 3.2599e-02 l_g_gan_latent_x4: 1.6467e-02 l_d_real_latent_x2: 6.8320e-03 out_d_real_latent_x2: 2.8867e+00 l_d_fake_latent_x2: 1.3089e-02 out_d_fake_latent_x2: -3.2584e+00 l_d_real_latent_x4: 5.4416e-02 out_d_real_latent_x4: 1.8329e+00 l_d_fake_latent_x4: 4.9673e-02 out_d_fake_latent_x4: -1.6465e+00 +2025-10-31 12:33:49,509 INFO: [28..][epoch: 2, step: 6,400, lr:(1.500e-04,)] [eta: 2 days, 1:24:21, time (data): 1.488 (0.053)] l1_latent_x2_opt: 6.6484e-01 l1_latent_x4_opt: 9.1638e-01 l_g_gan_latent_x2: 2.9413e-02 l_g_gan_latent_x4: 1.6292e-02 l_d_real_latent_x2: 5.8660e-03 out_d_real_latent_x2: 2.6519e+00 l_d_fake_latent_x2: 1.5427e-02 out_d_fake_latent_x2: -2.9401e+00 l_d_real_latent_x4: 8.5024e-02 out_d_real_latent_x4: 1.4149e+00 l_d_fake_latent_x4: 4.6349e-02 out_d_fake_latent_x4: -1.6289e+00 +2025-10-31 12:36:11,968 INFO: [28..][epoch: 2, step: 6,500, lr:(1.500e-04,)] [eta: 2 days, 1:19:34, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.6553e-01 l1_latent_x4_opt: 9.0798e-01 l_g_gan_latent_x2: 3.3094e-02 l_g_gan_latent_x4: 1.8848e-02 l_d_real_latent_x2: 4.1106e-03 out_d_real_latent_x2: 2.8951e+00 l_d_fake_latent_x2: 3.7257e-03 out_d_fake_latent_x2: -3.3082e+00 l_d_real_latent_x4: 2.7909e-02 out_d_real_latent_x4: 2.2748e+00 l_d_fake_latent_x4: 2.3416e-02 out_d_fake_latent_x4: -1.8848e+00 +2025-10-31 12:38:34,423 INFO: [28..][epoch: 2, step: 6,600, lr:(1.500e-04,)] [eta: 2 days, 1:14:52, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.6761e-01 l1_latent_x4_opt: 9.1181e-01 l_g_gan_latent_x2: 3.2161e-02 l_g_gan_latent_x4: 1.9053e-02 l_d_real_latent_x2: 1.2175e-02 out_d_real_latent_x2: 2.4530e+00 l_d_fake_latent_x2: 1.7148e-02 out_d_fake_latent_x2: -3.2145e+00 l_d_real_latent_x4: 4.2654e-02 out_d_real_latent_x4: 1.7185e+00 l_d_fake_latent_x4: 3.3279e-02 out_d_fake_latent_x4: -1.9051e+00 +2025-10-31 12:40:56,886 INFO: [28..][epoch: 2, step: 6,700, lr:(1.500e-04,)] [eta: 2 days, 1:10:14, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.5742e-01 l1_latent_x4_opt: 9.2088e-01 l_g_gan_latent_x2: 3.9458e-02 l_g_gan_latent_x4: 1.7909e-02 l_d_real_latent_x2: 4.8645e-03 out_d_real_latent_x2: 3.1446e+00 l_d_fake_latent_x2: 5.2642e-03 out_d_fake_latent_x2: -3.9441e+00 l_d_real_latent_x4: 4.9667e-02 out_d_real_latent_x4: 1.6081e+00 l_d_fake_latent_x4: 6.1353e-02 out_d_fake_latent_x4: -1.7907e+00 +2025-10-31 12:43:19,321 INFO: [28..][epoch: 2, step: 6,800, lr:(1.500e-04,)] [eta: 2 days, 1:05:39, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.6717e-01 l1_latent_x4_opt: 9.5257e-01 l_g_gan_latent_x2: 2.4965e-02 l_g_gan_latent_x4: 1.6226e-02 l_d_real_latent_x2: 1.3416e-02 out_d_real_latent_x2: 2.4097e+00 l_d_fake_latent_x2: 1.9505e-02 out_d_fake_latent_x2: -2.4964e+00 l_d_real_latent_x4: 2.3182e-01 out_d_real_latent_x4: 1.0318e+00 l_d_fake_latent_x4: 4.3787e-02 out_d_fake_latent_x4: -1.6203e+00 +2025-10-31 12:45:41,741 INFO: [28..][epoch: 2, step: 6,900, lr:(1.500e-04,)] [eta: 2 days, 1:01:08, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.8733e-01 l1_latent_x4_opt: 9.0971e-01 l_g_gan_latent_x2: -4.8927e-03 l_g_gan_latent_x4: 1.7923e-02 l_d_real_latent_x2: 5.0416e-01 out_d_real_latent_x2: 5.5852e-01 l_d_fake_latent_x2: 1.5392e+00 out_d_fake_latent_x2: 4.8965e-01 l_d_real_latent_x4: 1.4505e-01 out_d_real_latent_x4: 1.0778e+00 l_d_fake_latent_x4: 1.4736e-02 out_d_fake_latent_x4: -1.7917e+00 +2025-10-31 12:48:04,233 INFO: [28..][epoch: 2, step: 7,000, lr:(1.500e-04,)] [eta: 2 days, 0:56:41, time (data): 1.425 (0.001)] l1_latent_x2_opt: 7.8856e-01 l1_latent_x4_opt: 8.8283e-01 l_g_gan_latent_x2: -2.7311e-03 l_g_gan_latent_x4: 2.5009e-02 l_d_real_latent_x2: 9.1045e-01 out_d_real_latent_x2: 1.0231e-01 l_d_fake_latent_x2: 1.3414e+00 out_d_fake_latent_x2: 2.7339e-01 l_d_real_latent_x4: 2.6950e-02 out_d_real_latent_x4: 1.8066e+00 l_d_fake_latent_x4: 1.6496e-02 out_d_fake_latent_x4: -2.5008e+00 +2025-10-31 12:50:26,703 INFO: [28..][epoch: 2, step: 7,100, lr:(1.500e-04,)] [eta: 2 days, 0:52:18, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.6610e-01 l1_latent_x4_opt: 9.2880e-01 l_g_gan_latent_x2: 5.3525e-03 l_g_gan_latent_x4: 1.2243e-02 l_d_real_latent_x2: 6.9036e-01 out_d_real_latent_x2: 3.6786e-01 l_d_fake_latent_x2: 6.7056e-01 out_d_fake_latent_x2: -5.3517e-01 l_d_real_latent_x4: 5.5737e-02 out_d_real_latent_x4: 1.8961e+00 l_d_fake_latent_x4: 2.0864e-01 out_d_fake_latent_x4: -1.2243e+00 +2025-10-31 12:52:49,166 INFO: [28..][epoch: 2, step: 7,200, lr:(1.500e-04,)] [eta: 2 days, 0:47:58, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.7638e-01 l1_latent_x4_opt: 9.1823e-01 l_g_gan_latent_x2: 2.7578e-02 l_g_gan_latent_x4: 1.6531e-02 l_d_real_latent_x2: 1.1226e-02 out_d_real_latent_x2: 2.0761e+00 l_d_fake_latent_x2: 2.0449e-02 out_d_fake_latent_x2: -2.7578e+00 l_d_real_latent_x4: 4.6022e-02 out_d_real_latent_x4: 1.8291e+00 l_d_fake_latent_x4: 4.3357e-02 out_d_fake_latent_x4: -1.6530e+00 +2025-10-31 12:55:11,654 INFO: [28..][epoch: 2, step: 7,300, lr:(1.500e-04,)] [eta: 2 days, 0:43:42, time (data): 1.425 (0.000)] l1_latent_x2_opt: 7.0267e-01 l1_latent_x4_opt: 9.0624e-01 l_g_gan_latent_x2: 2.2988e-02 l_g_gan_latent_x4: 1.7936e-02 l_d_real_latent_x2: 3.9460e-02 out_d_real_latent_x2: 1.7642e+00 l_d_fake_latent_x2: 3.1881e-02 out_d_fake_latent_x2: -2.2987e+00 l_d_real_latent_x4: 2.7542e-02 out_d_real_latent_x4: 1.9534e+00 l_d_fake_latent_x4: 1.5569e-02 out_d_fake_latent_x4: -1.7936e+00 +2025-10-31 12:57:34,106 INFO: [28..][epoch: 2, step: 7,400, lr:(1.500e-04,)] [eta: 2 days, 0:39:28, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.8706e-01 l1_latent_x4_opt: 8.8147e-01 l_g_gan_latent_x2: 2.2366e-02 l_g_gan_latent_x4: 2.1988e-02 l_d_real_latent_x2: 3.0589e-02 out_d_real_latent_x2: 1.9665e+00 l_d_fake_latent_x2: 3.3323e-02 out_d_fake_latent_x2: -2.2366e+00 l_d_real_latent_x4: 2.3198e-02 out_d_real_latent_x4: 2.0486e+00 l_d_fake_latent_x4: 1.3401e-02 out_d_fake_latent_x4: -2.1986e+00 +2025-10-31 12:59:56,774 INFO: [28..][epoch: 2, step: 7,500, lr:(1.500e-04,)] [eta: 2 days, 0:35:21, time (data): 1.427 (0.000)] l1_latent_x2_opt: 6.7974e-01 l1_latent_x4_opt: 9.2930e-01 l_g_gan_latent_x2: 2.3736e-02 l_g_gan_latent_x4: 1.7372e-02 l_d_real_latent_x2: 8.2335e-03 out_d_real_latent_x2: 2.1841e+00 l_d_fake_latent_x2: 1.5219e-02 out_d_fake_latent_x2: -2.3734e+00 l_d_real_latent_x4: 5.7161e-02 out_d_real_latent_x4: 1.5944e+00 l_d_fake_latent_x4: 9.5879e-02 out_d_fake_latent_x4: -1.7343e+00 +2025-10-31 12:59:56,775 INFO: Saving models and training states. +2025-10-31 13:01:20,463 INFO: Validation val_x2 + # l1_latent: 0.7426 Best: 0.7710 @ 2500 iter + # pixel_psnr_pt: 25.7577 Best: 25.7577 @ 7500 iter + +2025-10-31 13:03:54,097 INFO: Validation val_x4 + # l1_latent: 0.9251 Best: 0.9526 @ 2500 iter + # l2_latent: 1.4208 Best: 1.5121 @ 2500 iter + # pixel_psnr_pt: 25.1263 Best: 25.1263 @ 7500 iter + +2025-10-31 13:06:16,648 INFO: [28..][epoch: 2, step: 7,600, lr:(1.500e-04,)] [eta: 2 days, 1:32:20, time (data): 1.426 (0.000)] l1_latent_x2_opt: 6.6595e-01 l1_latent_x4_opt: 9.0102e-01 l_g_gan_latent_x2: 2.4805e-02 l_g_gan_latent_x4: 1.9814e-02 l_d_real_latent_x2: 7.1864e-03 out_d_real_latent_x2: 2.2225e+00 l_d_fake_latent_x2: 9.0868e-03 out_d_fake_latent_x2: -2.4803e+00 l_d_real_latent_x4: 3.2197e-02 out_d_real_latent_x4: 1.9304e+00 l_d_fake_latent_x4: 2.3163e-02 out_d_fake_latent_x4: -1.9813e+00 +2025-10-31 13:08:39,101 INFO: [28..][epoch: 2, step: 7,700, lr:(1.500e-04,)] [eta: 2 days, 1:27:24, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.6587e-01 l1_latent_x4_opt: 9.0134e-01 l_g_gan_latent_x2: 2.6283e-02 l_g_gan_latent_x4: 1.9119e-02 l_d_real_latent_x2: 1.9115e-03 out_d_real_latent_x2: 2.3554e+00 l_d_fake_latent_x2: 5.3880e-03 out_d_fake_latent_x2: -2.6281e+00 l_d_real_latent_x4: 2.7266e-02 out_d_real_latent_x4: 1.9918e+00 l_d_fake_latent_x4: 2.4522e-02 out_d_fake_latent_x4: -1.9119e+00 +2025-10-31 13:11:01,569 INFO: [28..][epoch: 2, step: 7,800, lr:(1.500e-04,)] [eta: 2 days, 1:22:32, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.6659e-01 l1_latent_x4_opt: 9.3118e-01 l_g_gan_latent_x2: 2.7324e-02 l_g_gan_latent_x4: 4.3108e-03 l_d_real_latent_x2: 1.2519e-02 out_d_real_latent_x2: 2.2650e+00 l_d_fake_latent_x2: 1.1469e-02 out_d_fake_latent_x2: -2.7315e+00 l_d_real_latent_x4: 8.3768e-02 out_d_real_latent_x4: 1.8922e+00 l_d_fake_latent_x4: 8.1399e-01 out_d_fake_latent_x4: -4.3075e-01 +2025-10-31 13:13:24,107 INFO: [28..][epoch: 2, step: 7,900, lr:(1.500e-04,)] [eta: 2 days, 1:17:45, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.5500e-01 l1_latent_x4_opt: 8.7680e-01 l_g_gan_latent_x2: 2.7576e-02 l_g_gan_latent_x4: 2.2870e-02 l_d_real_latent_x2: 3.2009e-03 out_d_real_latent_x2: 2.5028e+00 l_d_fake_latent_x2: 1.0114e-02 out_d_fake_latent_x2: -2.7571e+00 l_d_real_latent_x4: 2.0247e-02 out_d_real_latent_x4: 2.3360e+00 l_d_fake_latent_x4: 1.7456e-02 out_d_fake_latent_x4: -2.2870e+00 +2025-10-31 13:15:46,581 INFO: [28..][epoch: 2, step: 8,000, lr:(1.500e-04,)] [eta: 2 days, 1:13:01, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.5805e-01 l1_latent_x4_opt: 8.9776e-01 l_g_gan_latent_x2: 2.8061e-02 l_g_gan_latent_x4: 1.8910e-02 l_d_real_latent_x2: 1.4945e-02 out_d_real_latent_x2: 2.1830e+00 l_d_fake_latent_x2: 5.1454e-03 out_d_fake_latent_x2: -2.8058e+00 l_d_real_latent_x4: 2.0576e-02 out_d_real_latent_x4: 2.3155e+00 l_d_fake_latent_x4: 2.1225e-02 out_d_fake_latent_x4: -1.8909e+00 +2025-10-31 13:18:09,090 INFO: [28..][epoch: 2, step: 8,100, lr:(1.500e-04,)] [eta: 2 days, 1:08:21, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.5741e-01 l1_latent_x4_opt: 9.0649e-01 l_g_gan_latent_x2: 2.8973e-02 l_g_gan_latent_x4: 1.9984e-02 l_d_real_latent_x2: 4.2776e-03 out_d_real_latent_x2: 2.6084e+00 l_d_fake_latent_x2: 2.2489e-02 out_d_fake_latent_x2: -2.8966e+00 l_d_real_latent_x4: 2.8934e-02 out_d_real_latent_x4: 2.3839e+00 l_d_fake_latent_x4: 4.0266e-02 out_d_fake_latent_x4: -1.9977e+00 +2025-10-31 13:20:31,556 INFO: [28..][epoch: 2, step: 8,200, lr:(1.500e-04,)] [eta: 2 days, 1:03:43, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3723e-01 l1_latent_x4_opt: 8.7484e-01 l_g_gan_latent_x2: 2.9047e-02 l_g_gan_latent_x4: 2.0067e-02 l_d_real_latent_x2: 1.5629e-02 out_d_real_latent_x2: 2.2706e+00 l_d_fake_latent_x2: 7.8974e-03 out_d_fake_latent_x2: -2.9043e+00 l_d_real_latent_x4: 1.8420e-02 out_d_real_latent_x4: 2.3833e+00 l_d_fake_latent_x4: 2.0154e-02 out_d_fake_latent_x4: -2.0065e+00 +2025-10-31 13:22:54,152 INFO: [28..][epoch: 2, step: 8,300, lr:(1.500e-04,)] [eta: 2 days, 0:59:11, time (data): 1.426 (0.000)] l1_latent_x2_opt: 6.3932e-01 l1_latent_x4_opt: 8.9031e-01 l_g_gan_latent_x2: 3.4707e-02 l_g_gan_latent_x4: 2.0263e-02 l_d_real_latent_x2: 4.9350e-03 out_d_real_latent_x2: 2.4432e+00 l_d_fake_latent_x2: 4.2194e-03 out_d_fake_latent_x2: -3.4703e+00 l_d_real_latent_x4: 6.7638e-02 out_d_real_latent_x4: 1.8018e+00 l_d_fake_latent_x4: 1.5540e-02 out_d_fake_latent_x4: -2.0251e+00 +2025-10-31 13:25:16,697 INFO: [28..][epoch: 2, step: 8,400, lr:(1.500e-04,)] [eta: 2 days, 0:54:41, time (data): 1.426 (0.000)] l1_latent_x2_opt: 6.5229e-01 l1_latent_x4_opt: 8.8729e-01 l_g_gan_latent_x2: 3.5183e-02 l_g_gan_latent_x4: 1.9646e-02 l_d_real_latent_x2: 1.4117e-02 out_d_real_latent_x2: 2.3840e+00 l_d_fake_latent_x2: 2.1846e-02 out_d_fake_latent_x2: -3.5163e+00 l_d_real_latent_x4: 2.1303e-02 out_d_real_latent_x4: 2.3137e+00 l_d_fake_latent_x4: 1.3468e-02 out_d_fake_latent_x4: -1.9636e+00 +2025-10-31 13:27:39,141 INFO: [28..][epoch: 2, step: 8,500, lr:(1.500e-04,)] [eta: 2 days, 0:50:12, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4103e-01 l1_latent_x4_opt: 8.9000e-01 l_g_gan_latent_x2: 2.9259e-02 l_g_gan_latent_x4: 2.3798e-02 l_d_real_latent_x2: 8.7966e-03 out_d_real_latent_x2: 2.1958e+00 l_d_fake_latent_x2: 1.4684e-02 out_d_fake_latent_x2: -2.9258e+00 l_d_real_latent_x4: 2.0032e-02 out_d_real_latent_x4: 2.6479e+00 l_d_fake_latent_x4: 1.4078e-02 out_d_fake_latent_x4: -2.3789e+00 +2025-10-31 13:30:01,644 INFO: [28..][epoch: 2, step: 8,600, lr:(1.500e-04,)] [eta: 2 days, 0:45:47, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3881e-01 l1_latent_x4_opt: 8.8415e-01 l_g_gan_latent_x2: 2.9970e-02 l_g_gan_latent_x4: 2.2391e-02 l_d_real_latent_x2: 1.1540e-02 out_d_real_latent_x2: 2.0997e+00 l_d_fake_latent_x2: 1.4028e-02 out_d_fake_latent_x2: -2.9966e+00 l_d_real_latent_x4: 2.6438e-02 out_d_real_latent_x4: 2.9150e+00 l_d_fake_latent_x4: 1.1114e-02 out_d_fake_latent_x4: -2.2380e+00 +2025-10-31 13:32:24,184 INFO: [28..][epoch: 2, step: 8,700, lr:(1.500e-04,)] [eta: 2 days, 0:41:26, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.4177e-01 l1_latent_x4_opt: 8.8723e-01 l_g_gan_latent_x2: 2.7683e-02 l_g_gan_latent_x4: 2.2409e-02 l_d_real_latent_x2: 5.3823e-03 out_d_real_latent_x2: 2.2176e+00 l_d_fake_latent_x2: 1.4976e-02 out_d_fake_latent_x2: -2.7680e+00 l_d_real_latent_x4: 1.0728e-02 out_d_real_latent_x4: 2.3804e+00 l_d_fake_latent_x4: 1.8656e-02 out_d_fake_latent_x4: -2.2401e+00 +2025-10-31 13:34:47,012 INFO: [28..][epoch: 2, step: 8,800, lr:(1.500e-04,)] [eta: 2 days, 0:37:11, time (data): 1.427 (0.000)] l1_latent_x2_opt: 6.4919e-01 l1_latent_x4_opt: 8.8511e-01 l_g_gan_latent_x2: 3.3447e-02 l_g_gan_latent_x4: 2.6519e-02 l_d_real_latent_x2: 7.4396e-03 out_d_real_latent_x2: 2.3137e+00 l_d_fake_latent_x2: 6.4591e-03 out_d_fake_latent_x2: -3.3435e+00 l_d_real_latent_x4: 1.0878e-02 out_d_real_latent_x4: 2.9231e+00 l_d_fake_latent_x4: 8.3114e-03 out_d_fake_latent_x4: -2.6499e+00 +2025-10-31 13:37:09,509 INFO: [28..][epoch: 2, step: 8,900, lr:(1.500e-04,)] [eta: 2 days, 0:32:54, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.4102e-01 l1_latent_x4_opt: 8.8016e-01 l_g_gan_latent_x2: 3.5818e-02 l_g_gan_latent_x4: 2.4776e-02 l_d_real_latent_x2: 1.2635e-02 out_d_real_latent_x2: 2.4068e+00 l_d_fake_latent_x2: 8.2267e-03 out_d_fake_latent_x2: -3.5778e+00 l_d_real_latent_x4: 1.5011e-02 out_d_real_latent_x4: 2.9288e+00 l_d_fake_latent_x4: 9.5249e-03 out_d_fake_latent_x4: -2.4743e+00 +2025-10-31 13:39:32,032 INFO: [28..][epoch: 2, step: 9,000, lr:(1.500e-04,)] [eta: 2 days, 0:28:40, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.4621e-01 l1_latent_x4_opt: 8.6849e-01 l_g_gan_latent_x2: 3.2276e-02 l_g_gan_latent_x4: 3.4902e-02 l_d_real_latent_x2: 4.5221e-03 out_d_real_latent_x2: 2.3017e+00 l_d_fake_latent_x2: 1.5225e-02 out_d_fake_latent_x2: -3.2265e+00 l_d_real_latent_x4: 9.2240e-03 out_d_real_latent_x4: 2.6899e+00 l_d_fake_latent_x4: 6.9876e-03 out_d_fake_latent_x4: -3.4887e+00 +2025-10-31 13:41:54,440 INFO: [28..][epoch: 2, step: 9,100, lr:(1.500e-04,)] [eta: 2 days, 0:24:28, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3681e-01 l1_latent_x4_opt: 8.7558e-01 l_g_gan_latent_x2: 3.8261e-02 l_g_gan_latent_x4: 2.4816e-02 l_d_real_latent_x2: 1.4525e-02 out_d_real_latent_x2: 2.1850e+00 l_d_fake_latent_x2: 1.7939e-02 out_d_fake_latent_x2: -3.8258e+00 l_d_real_latent_x4: 2.5689e-02 out_d_real_latent_x4: 2.0626e+00 l_d_fake_latent_x4: 1.4399e-02 out_d_fake_latent_x4: -2.4807e+00 +2025-10-31 13:44:16,861 INFO: [28..][epoch: 2, step: 9,200, lr:(1.500e-04,)] [eta: 2 days, 0:20:17, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3668e-01 l1_latent_x4_opt: 8.8387e-01 l_g_gan_latent_x2: 3.0795e-02 l_g_gan_latent_x4: 2.2659e-02 l_d_real_latent_x2: 3.3978e-03 out_d_real_latent_x2: 2.6997e+00 l_d_fake_latent_x2: 1.2008e-02 out_d_fake_latent_x2: -3.0777e+00 l_d_real_latent_x4: 1.3352e-02 out_d_real_latent_x4: 3.0218e+00 l_d_fake_latent_x4: 1.3408e-02 out_d_fake_latent_x4: -2.2648e+00 +2025-10-31 13:46:39,300 INFO: [28..][epoch: 2, step: 9,300, lr:(1.500e-04,)] [eta: 2 days, 0:16:09, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4548e-01 l1_latent_x4_opt: 8.7376e-01 l_g_gan_latent_x2: 3.6298e-02 l_g_gan_latent_x4: 2.8143e-02 l_d_real_latent_x2: 1.8682e-02 out_d_real_latent_x2: 2.0692e+00 l_d_fake_latent_x2: 9.0442e-03 out_d_fake_latent_x2: -3.6292e+00 l_d_real_latent_x4: 1.7940e-02 out_d_real_latent_x4: 2.6772e+00 l_d_fake_latent_x4: 6.4364e-03 out_d_fake_latent_x4: -2.8110e+00 +2025-10-31 13:49:01,693 INFO: [28..][epoch: 2, step: 9,400, lr:(1.500e-04,)] [eta: 2 days, 0:12:03, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4389e-01 l1_latent_x4_opt: 8.7453e-01 l_g_gan_latent_x2: 3.1299e-02 l_g_gan_latent_x4: 2.7244e-02 l_d_real_latent_x2: 4.2901e-03 out_d_real_latent_x2: 2.5231e+00 l_d_fake_latent_x2: 1.5307e-02 out_d_fake_latent_x2: -3.1287e+00 l_d_real_latent_x4: 1.3583e-02 out_d_real_latent_x4: 2.5827e+00 l_d_fake_latent_x4: 1.0064e-02 out_d_fake_latent_x4: -2.7216e+00 +2025-10-31 13:51:33,399 INFO: [28..][epoch: 3, step: 9,500, lr:(1.500e-04,)] [eta: 2 days, 0:09:53, time (data): 1.599 (0.162)] l1_latent_x2_opt: 6.3202e-01 l1_latent_x4_opt: 8.6643e-01 l_g_gan_latent_x2: 2.6262e-02 l_g_gan_latent_x4: 2.7815e-02 l_d_real_latent_x2: 6.4550e-03 out_d_real_latent_x2: 1.9543e+00 l_d_fake_latent_x2: 6.6386e-03 out_d_fake_latent_x2: -2.6258e+00 l_d_real_latent_x4: 8.7352e-03 out_d_real_latent_x4: 2.9888e+00 l_d_fake_latent_x4: 6.7059e-03 out_d_fake_latent_x4: -2.7751e+00 +2025-10-31 13:53:55,855 INFO: [28..][epoch: 3, step: 9,600, lr:(1.500e-04,)] [eta: 2 days, 0:05:50, time (data): 1.485 (0.056)] l1_latent_x2_opt: 6.4423e-01 l1_latent_x4_opt: 8.8264e-01 l_g_gan_latent_x2: 3.4400e-02 l_g_gan_latent_x4: 2.8544e-02 l_d_real_latent_x2: 1.9501e-03 out_d_real_latent_x2: 2.3595e+00 l_d_fake_latent_x2: 2.8914e-03 out_d_fake_latent_x2: -3.4397e+00 l_d_real_latent_x4: 8.5535e-03 out_d_real_latent_x4: 2.7579e+00 l_d_fake_latent_x4: 6.3401e-03 out_d_fake_latent_x4: -2.8539e+00 +2025-10-31 13:56:18,388 INFO: [28..][epoch: 3, step: 9,700, lr:(1.500e-04,)] [eta: 2 days, 0:01:51, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3173e-01 l1_latent_x4_opt: 8.5723e-01 l_g_gan_latent_x2: 3.3418e-02 l_g_gan_latent_x4: 2.8066e-02 l_d_real_latent_x2: 1.4771e-02 out_d_real_latent_x2: 1.9607e+00 l_d_fake_latent_x2: 6.7924e-03 out_d_fake_latent_x2: -3.3412e+00 l_d_real_latent_x4: 1.3411e-02 out_d_real_latent_x4: 2.7520e+00 l_d_fake_latent_x4: 8.3266e-03 out_d_fake_latent_x4: -2.8032e+00 +2025-10-31 13:58:40,815 INFO: [28..][epoch: 3, step: 9,800, lr:(1.500e-04,)] [eta: 1 day, 23:57:52, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4579e-01 l1_latent_x4_opt: 8.7104e-01 l_g_gan_latent_x2: 4.7061e-02 l_g_gan_latent_x4: 2.8102e-02 l_d_real_latent_x2: 2.4072e-02 out_d_real_latent_x2: 1.8665e+00 l_d_fake_latent_x2: 2.3258e-02 out_d_fake_latent_x2: -4.7051e+00 l_d_real_latent_x4: 1.4131e-02 out_d_real_latent_x4: 2.4406e+00 l_d_fake_latent_x4: 1.4824e-02 out_d_fake_latent_x4: -2.8087e+00 +2025-10-31 14:01:03,202 INFO: [28..][epoch: 3, step: 9,900, lr:(1.500e-04,)] [eta: 1 day, 23:53:55, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4254e-01 l1_latent_x4_opt: 8.6915e-01 l_g_gan_latent_x2: 3.7391e-02 l_g_gan_latent_x4: 2.6073e-02 l_d_real_latent_x2: 6.4027e-03 out_d_real_latent_x2: 2.4609e+00 l_d_fake_latent_x2: 2.1668e-02 out_d_fake_latent_x2: -3.7380e+00 l_d_real_latent_x4: 7.2311e-03 out_d_real_latent_x4: 2.9426e+00 l_d_fake_latent_x4: 2.4346e-02 out_d_fake_latent_x4: -2.6022e+00 +2025-10-31 14:03:25,651 INFO: [28..][epoch: 3, step: 10,000, lr:(1.500e-04,)] [eta: 1 day, 23:50:01, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3845e-01 l1_latent_x4_opt: 8.5515e-01 l_g_gan_latent_x2: 3.3853e-02 l_g_gan_latent_x4: 3.2765e-02 l_d_real_latent_x2: 2.4827e-02 out_d_real_latent_x2: 2.1712e+00 l_d_fake_latent_x2: 2.0786e-02 out_d_fake_latent_x2: -3.3850e+00 l_d_real_latent_x4: 1.3393e-02 out_d_real_latent_x4: 2.6352e+00 l_d_fake_latent_x4: 2.6034e-02 out_d_fake_latent_x4: -3.2732e+00 +2025-10-31 14:03:25,652 INFO: Saving models and training states. +2025-10-31 14:04:44,093 INFO: Validation val_x2 + # l1_latent: 0.7150 Best: 0.7710 @ 2500 iter + # pixel_psnr_pt: 26.2290 Best: 26.2290 @ 10000 iter + +2025-10-31 14:07:19,196 INFO: Validation val_x4 + # l1_latent: 0.9119 Best: 0.9526 @ 2500 iter + # l2_latent: 1.3733 Best: 1.5121 @ 2500 iter + # pixel_psnr_pt: 25.5844 Best: 25.5844 @ 10000 iter + +2025-10-31 14:09:41,565 INFO: [28..][epoch: 3, step: 10,100, lr:(1.500e-04,)] [eta: 2 days, 0:30:24, time (data): 1.423 (0.000)] l1_latent_x2_opt: 6.3901e-01 l1_latent_x4_opt: 8.6177e-01 l_g_gan_latent_x2: 3.5415e-02 l_g_gan_latent_x4: 3.1541e-02 l_d_real_latent_x2: 6.0339e-03 out_d_real_latent_x2: 2.4994e+00 l_d_fake_latent_x2: 1.2339e-02 out_d_fake_latent_x2: -3.5406e+00 l_d_real_latent_x4: 1.0300e-02 out_d_real_latent_x4: 2.9093e+00 l_d_fake_latent_x4: 1.3867e-02 out_d_fake_latent_x4: -3.1521e+00 +2025-10-31 14:12:03,999 INFO: [28..][epoch: 3, step: 10,200, lr:(1.500e-04,)] [eta: 2 days, 0:26:04, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3150e-01 l1_latent_x4_opt: 8.5395e-01 l_g_gan_latent_x2: 3.5108e-02 l_g_gan_latent_x4: 2.9806e-02 l_d_real_latent_x2: 7.7987e-03 out_d_real_latent_x2: 2.6244e+00 l_d_fake_latent_x2: 1.7337e-02 out_d_fake_latent_x2: -3.5105e+00 l_d_real_latent_x4: 8.7866e-03 out_d_real_latent_x4: 3.0056e+00 l_d_fake_latent_x4: 1.5647e-02 out_d_fake_latent_x4: -2.9792e+00 +2025-10-31 14:14:26,398 INFO: [28..][epoch: 3, step: 10,300, lr:(1.500e-04,)] [eta: 2 days, 0:21:47, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2999e-01 l1_latent_x4_opt: 8.4780e-01 l_g_gan_latent_x2: 2.6624e-02 l_g_gan_latent_x4: 3.1702e-02 l_d_real_latent_x2: 6.7431e-03 out_d_real_latent_x2: 2.7419e+00 l_d_fake_latent_x2: 4.4339e-03 out_d_fake_latent_x2: -2.6621e+00 l_d_real_latent_x4: 9.5730e-03 out_d_real_latent_x4: 3.5222e+00 l_d_fake_latent_x4: 7.7567e-03 out_d_fake_latent_x4: -3.1672e+00 +2025-10-31 14:16:48,878 INFO: [28..][epoch: 3, step: 10,400, lr:(1.500e-04,)] [eta: 2 days, 0:17:32, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3402e-01 l1_latent_x4_opt: 8.5832e-01 l_g_gan_latent_x2: 2.7043e-02 l_g_gan_latent_x4: 3.1239e-02 l_d_real_latent_x2: 6.4466e-03 out_d_real_latent_x2: 2.4458e+00 l_d_fake_latent_x2: 1.3423e-02 out_d_fake_latent_x2: -2.7040e+00 l_d_real_latent_x4: 1.1866e-02 out_d_real_latent_x4: 2.9467e+00 l_d_fake_latent_x4: 7.7298e-03 out_d_fake_latent_x4: -3.1211e+00 +2025-10-31 14:19:11,348 INFO: [28..][epoch: 3, step: 10,500, lr:(1.500e-04,)] [eta: 2 days, 0:13:20, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.4006e-01 l1_latent_x4_opt: 8.5996e-01 l_g_gan_latent_x2: 3.5012e-02 l_g_gan_latent_x4: 3.4013e-02 l_d_real_latent_x2: 7.7779e-03 out_d_real_latent_x2: 2.3798e+00 l_d_fake_latent_x2: 1.3091e-02 out_d_fake_latent_x2: -3.5008e+00 l_d_real_latent_x4: 1.1537e-02 out_d_real_latent_x4: 3.2513e+00 l_d_fake_latent_x4: 6.8379e-03 out_d_fake_latent_x4: -3.4007e+00 +2025-10-31 14:21:33,734 INFO: [28..][epoch: 3, step: 10,600, lr:(1.500e-04,)] [eta: 2 days, 0:09:09, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3928e-01 l1_latent_x4_opt: 8.5415e-01 l_g_gan_latent_x2: 4.0273e-02 l_g_gan_latent_x4: 3.1937e-02 l_d_real_latent_x2: 8.5239e-03 out_d_real_latent_x2: 2.3218e+00 l_d_fake_latent_x2: 1.8466e-02 out_d_fake_latent_x2: -4.0259e+00 l_d_real_latent_x4: 1.2858e-02 out_d_real_latent_x4: 3.0973e+00 l_d_fake_latent_x4: 1.3650e-02 out_d_fake_latent_x4: -3.1885e+00 +2025-10-31 14:23:56,176 INFO: [28..][epoch: 3, step: 10,700, lr:(1.500e-04,)] [eta: 2 days, 0:05:00, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3001e-01 l1_latent_x4_opt: 8.5238e-01 l_g_gan_latent_x2: 2.6898e-02 l_g_gan_latent_x4: 3.2572e-02 l_d_real_latent_x2: 4.8632e-03 out_d_real_latent_x2: 2.1740e+00 l_d_fake_latent_x2: 7.4575e-03 out_d_fake_latent_x2: -2.6893e+00 l_d_real_latent_x4: 4.9268e-03 out_d_real_latent_x4: 3.4670e+00 l_d_fake_latent_x4: 6.7020e-03 out_d_fake_latent_x4: -3.2527e+00 +2025-10-31 14:26:18,572 INFO: [28..][epoch: 3, step: 10,800, lr:(1.500e-04,)] [eta: 2 days, 0:00:53, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3162e-01 l1_latent_x4_opt: 8.4962e-01 l_g_gan_latent_x2: 3.1730e-02 l_g_gan_latent_x4: 3.1853e-02 l_d_real_latent_x2: 7.6053e-03 out_d_real_latent_x2: 2.3675e+00 l_d_fake_latent_x2: 1.7330e-02 out_d_fake_latent_x2: -3.1729e+00 l_d_real_latent_x4: 9.3756e-03 out_d_real_latent_x4: 3.0812e+00 l_d_fake_latent_x4: 1.5702e-02 out_d_fake_latent_x4: -3.1808e+00 +2025-10-31 14:28:40,938 INFO: [28..][epoch: 3, step: 10,900, lr:(1.500e-04,)] [eta: 1 day, 23:56:48, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3551e-01 l1_latent_x4_opt: 8.6280e-01 l_g_gan_latent_x2: 3.6018e-02 l_g_gan_latent_x4: 3.2494e-02 l_d_real_latent_x2: 2.4616e-02 out_d_real_latent_x2: 2.2669e+00 l_d_fake_latent_x2: 3.1725e-02 out_d_fake_latent_x2: -3.6007e+00 l_d_real_latent_x4: 2.9920e-02 out_d_real_latent_x4: 2.7006e+00 l_d_fake_latent_x4: 1.8572e-02 out_d_fake_latent_x4: -3.2487e+00 +2025-10-31 14:31:03,333 INFO: [28..][epoch: 3, step: 11,000, lr:(1.500e-04,)] [eta: 1 day, 23:52:44, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3217e-01 l1_latent_x4_opt: 8.5199e-01 l_g_gan_latent_x2: 3.7205e-02 l_g_gan_latent_x4: 3.5092e-02 l_d_real_latent_x2: 1.3026e-02 out_d_real_latent_x2: 2.2185e+00 l_d_fake_latent_x2: 3.4349e-02 out_d_fake_latent_x2: -3.7195e+00 l_d_real_latent_x4: 1.9840e-02 out_d_real_latent_x4: 3.4614e+00 l_d_fake_latent_x4: 1.5175e-02 out_d_fake_latent_x4: -3.5064e+00 +2025-10-31 14:33:25,724 INFO: [28..][epoch: 3, step: 11,100, lr:(1.500e-04,)] [eta: 1 day, 23:48:43, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3213e-01 l1_latent_x4_opt: 8.6991e-01 l_g_gan_latent_x2: 3.0332e-02 l_g_gan_latent_x4: 3.0700e-02 l_d_real_latent_x2: 1.4994e-02 out_d_real_latent_x2: 2.4129e+00 l_d_fake_latent_x2: 4.8408e-03 out_d_fake_latent_x2: -3.0317e+00 l_d_real_latent_x4: 1.0766e-02 out_d_real_latent_x4: 3.2602e+00 l_d_fake_latent_x4: 1.6300e-02 out_d_fake_latent_x4: -3.0673e+00 +2025-10-31 14:35:48,107 INFO: [28..][epoch: 3, step: 11,200, lr:(1.500e-04,)] [eta: 1 day, 23:44:43, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2769e-01 l1_latent_x4_opt: 8.4808e-01 l_g_gan_latent_x2: 3.0117e-02 l_g_gan_latent_x4: 3.2749e-02 l_d_real_latent_x2: 2.2071e-02 out_d_real_latent_x2: 2.3741e+00 l_d_fake_latent_x2: 3.1060e-02 out_d_fake_latent_x2: -3.0115e+00 l_d_real_latent_x4: 3.1248e-02 out_d_real_latent_x4: 2.7730e+00 l_d_fake_latent_x4: 1.2444e-02 out_d_fake_latent_x4: -3.2740e+00 +2025-10-31 14:38:10,540 INFO: [28..][epoch: 3, step: 11,300, lr:(1.500e-04,)] [eta: 1 day, 23:40:45, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2785e-01 l1_latent_x4_opt: 8.5346e-01 l_g_gan_latent_x2: 2.7571e-02 l_g_gan_latent_x4: 3.6241e-02 l_d_real_latent_x2: 6.1780e-03 out_d_real_latent_x2: 2.3554e+00 l_d_fake_latent_x2: 8.8658e-03 out_d_fake_latent_x2: -2.7571e+00 l_d_real_latent_x4: 1.5058e-02 out_d_real_latent_x4: 3.4700e+00 l_d_fake_latent_x4: 1.5001e-02 out_d_fake_latent_x4: -3.6224e+00 +2025-10-31 14:40:32,928 INFO: [28..][epoch: 3, step: 11,400, lr:(1.500e-04,)] [eta: 1 day, 23:36:49, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3290e-01 l1_latent_x4_opt: 8.4088e-01 l_g_gan_latent_x2: 3.4139e-02 l_g_gan_latent_x4: 3.5103e-02 l_d_real_latent_x2: 1.0610e-02 out_d_real_latent_x2: 2.5008e+00 l_d_fake_latent_x2: 2.2411e-02 out_d_fake_latent_x2: -3.4127e+00 l_d_real_latent_x4: 1.5114e-02 out_d_real_latent_x4: 3.1437e+00 l_d_fake_latent_x4: 1.2806e-02 out_d_fake_latent_x4: -3.5089e+00 +2025-10-31 14:42:55,347 INFO: [28..][epoch: 3, step: 11,500, lr:(1.500e-04,)] [eta: 1 day, 23:32:54, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3183e-01 l1_latent_x4_opt: 8.5072e-01 l_g_gan_latent_x2: 2.6089e-02 l_g_gan_latent_x4: 3.6831e-02 l_d_real_latent_x2: 5.5634e-03 out_d_real_latent_x2: 2.3287e+00 l_d_fake_latent_x2: 9.4199e-03 out_d_fake_latent_x2: -2.6087e+00 l_d_real_latent_x4: 1.0487e-02 out_d_real_latent_x4: 3.1928e+00 l_d_fake_latent_x4: 1.2397e-02 out_d_fake_latent_x4: -3.6822e+00 +2025-10-31 14:45:17,787 INFO: [28..][epoch: 3, step: 11,600, lr:(1.500e-04,)] [eta: 1 day, 23:29:01, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.4319e-01 l1_latent_x4_opt: 8.3932e-01 l_g_gan_latent_x2: 3.8856e-02 l_g_gan_latent_x4: 3.5821e-02 l_d_real_latent_x2: 5.3444e-03 out_d_real_latent_x2: 2.0421e+00 l_d_fake_latent_x2: 3.1633e-02 out_d_fake_latent_x2: -3.8801e+00 l_d_real_latent_x4: 5.3492e-03 out_d_real_latent_x4: 3.2326e+00 l_d_fake_latent_x4: 8.6743e-03 out_d_fake_latent_x4: -3.5802e+00 +2025-10-31 14:47:40,236 INFO: [28..][epoch: 3, step: 11,700, lr:(1.500e-04,)] [eta: 1 day, 23:25:10, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3610e-01 l1_latent_x4_opt: 8.5404e-01 l_g_gan_latent_x2: 3.7978e-02 l_g_gan_latent_x4: 3.3311e-02 l_d_real_latent_x2: 6.2516e-03 out_d_real_latent_x2: 2.1864e+00 l_d_fake_latent_x2: 3.3567e-02 out_d_fake_latent_x2: -3.7972e+00 l_d_real_latent_x4: 1.1908e-02 out_d_real_latent_x4: 3.3384e+00 l_d_fake_latent_x4: 1.8351e-02 out_d_fake_latent_x4: -3.3299e+00 +2025-10-31 14:50:02,559 INFO: [28..][epoch: 3, step: 11,800, lr:(1.500e-04,)] [eta: 1 day, 23:21:20, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3216e-01 l1_latent_x4_opt: 8.5467e-01 l_g_gan_latent_x2: 3.5608e-02 l_g_gan_latent_x4: 3.3929e-02 l_d_real_latent_x2: 1.2378e-02 out_d_real_latent_x2: 2.0810e+00 l_d_fake_latent_x2: 1.4932e-02 out_d_fake_latent_x2: -3.5605e+00 l_d_real_latent_x4: 1.2605e-02 out_d_real_latent_x4: 2.9391e+00 l_d_fake_latent_x4: 2.2220e-02 out_d_fake_latent_x4: -3.3923e+00 +2025-10-31 14:52:25,163 INFO: [28..][epoch: 3, step: 11,900, lr:(1.500e-04,)] [eta: 1 day, 23:17:33, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2641e-01 l1_latent_x4_opt: 8.4167e-01 l_g_gan_latent_x2: 2.8838e-02 l_g_gan_latent_x4: 3.9471e-02 l_d_real_latent_x2: 1.1255e-02 out_d_real_latent_x2: 2.2078e+00 l_d_fake_latent_x2: 5.4241e-03 out_d_fake_latent_x2: -2.8835e+00 l_d_real_latent_x4: 1.5071e-02 out_d_real_latent_x4: 3.2893e+00 l_d_fake_latent_x4: 2.6763e-03 out_d_fake_latent_x4: -3.9413e+00 +2025-10-31 14:54:47,612 INFO: [28..][epoch: 3, step: 12,000, lr:(1.500e-04,)] [eta: 1 day, 23:13:46, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3082e-01 l1_latent_x4_opt: 8.4469e-01 l_g_gan_latent_x2: 3.1911e-02 l_g_gan_latent_x4: 3.6053e-02 l_d_real_latent_x2: 5.8464e-03 out_d_real_latent_x2: 2.2301e+00 l_d_fake_latent_x2: 2.4352e-02 out_d_fake_latent_x2: -3.1898e+00 l_d_real_latent_x4: 1.1135e-02 out_d_real_latent_x4: 3.8461e+00 l_d_fake_latent_x4: 1.9718e-02 out_d_fake_latent_x4: -3.6043e+00 +2025-10-31 14:57:10,058 INFO: [28..][epoch: 3, step: 12,100, lr:(1.500e-04,)] [eta: 1 day, 23:10:01, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3021e-01 l1_latent_x4_opt: 8.4373e-01 l_g_gan_latent_x2: 2.9211e-02 l_g_gan_latent_x4: 3.6714e-02 l_d_real_latent_x2: 1.3154e-02 out_d_real_latent_x2: 2.4378e+00 l_d_fake_latent_x2: 1.5679e-02 out_d_fake_latent_x2: -2.9209e+00 l_d_real_latent_x4: 1.5667e-02 out_d_real_latent_x4: 3.1294e+00 l_d_fake_latent_x4: 1.3141e-02 out_d_fake_latent_x4: -3.6700e+00 +2025-10-31 14:59:32,510 INFO: [28..][epoch: 3, step: 12,200, lr:(1.500e-04,)] [eta: 1 day, 23:06:17, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3309e-01 l1_latent_x4_opt: 8.4358e-01 l_g_gan_latent_x2: 3.7164e-02 l_g_gan_latent_x4: 3.4866e-02 l_d_real_latent_x2: 4.1041e-03 out_d_real_latent_x2: 2.0697e+00 l_d_fake_latent_x2: 3.3188e-03 out_d_fake_latent_x2: -3.7159e+00 l_d_real_latent_x4: 5.9000e-03 out_d_real_latent_x4: 3.5150e+00 l_d_fake_latent_x4: 3.6181e-03 out_d_fake_latent_x4: -3.4853e+00 +2025-10-31 15:01:54,968 INFO: [28..][epoch: 3, step: 12,300, lr:(1.500e-04,)] [eta: 1 day, 23:02:35, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.2824e-01 l1_latent_x4_opt: 8.5367e-01 l_g_gan_latent_x2: 3.2903e-02 l_g_gan_latent_x4: 3.4890e-02 l_d_real_latent_x2: 8.5636e-03 out_d_real_latent_x2: 2.4155e+00 l_d_fake_latent_x2: 1.5274e-02 out_d_fake_latent_x2: -3.2899e+00 l_d_real_latent_x4: 1.3989e-02 out_d_real_latent_x4: 3.1954e+00 l_d_fake_latent_x4: 1.0672e-02 out_d_fake_latent_x4: -3.4879e+00 +2025-10-31 15:04:17,402 INFO: [28..][epoch: 3, step: 12,400, lr:(1.500e-04,)] [eta: 1 day, 22:58:53, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2725e-01 l1_latent_x4_opt: 8.3877e-01 l_g_gan_latent_x2: 3.3053e-02 l_g_gan_latent_x4: 3.7528e-02 l_d_real_latent_x2: 7.5402e-03 out_d_real_latent_x2: 2.2900e+00 l_d_fake_latent_x2: 5.7999e-03 out_d_fake_latent_x2: -3.3046e+00 l_d_real_latent_x4: 1.0191e-02 out_d_real_latent_x4: 3.7104e+00 l_d_fake_latent_x4: 7.5831e-03 out_d_fake_latent_x4: -3.7491e+00 +2025-10-31 15:06:39,842 INFO: [28..][epoch: 3, step: 12,500, lr:(1.500e-04,)] [eta: 1 day, 22:55:13, time (data): 1.425 (0.000)] l1_latent_x2_opt: 6.3722e-01 l1_latent_x4_opt: 8.3990e-01 l_g_gan_latent_x2: 4.2007e-02 l_g_gan_latent_x4: 3.5230e-02 l_d_real_latent_x2: 6.1583e-03 out_d_real_latent_x2: 2.4228e+00 l_d_fake_latent_x2: 1.0236e-02 out_d_fake_latent_x2: -4.2002e+00 l_d_real_latent_x4: 7.8990e-03 out_d_real_latent_x4: 3.1990e+00 l_d_fake_latent_x4: 6.0417e-03 out_d_fake_latent_x4: -3.5219e+00 +2025-10-31 15:06:39,843 INFO: Saving models and training states. +2025-10-31 15:08:02,216 INFO: Validation val_x2 + # l1_latent: 0.7092 Best: 0.7710 @ 2500 iter + # pixel_psnr_pt: 26.3326 Best: 26.3326 @ 12500 iter + +2025-10-31 15:10:25,946 INFO: Validation val_x4 + # l1_latent: 0.9046 Best: 0.9526 @ 2500 iter + # l2_latent: 1.3487 Best: 1.5121 @ 2500 iter + # pixel_psnr_pt: 25.8101 Best: 25.8101 @ 12500 iter + +2025-10-31 15:12:48,376 INFO: [28..][epoch: 3, step: 12,600, lr:(1.500e-04,)] [eta: 1 day, 23:25:11, time (data): 1.424 (0.001)] l1_latent_x2_opt: 6.3037e-01 l1_latent_x4_opt: 8.4359e-01 l_g_gan_latent_x2: 3.4313e-02 l_g_gan_latent_x4: 3.6300e-02 l_d_real_latent_x2: 7.1676e-03 out_d_real_latent_x2: 2.3904e+00 l_d_fake_latent_x2: 1.6991e-02 out_d_fake_latent_x2: -3.4306e+00 l_d_real_latent_x4: 9.0794e-03 out_d_real_latent_x4: 3.1424e+00 l_d_fake_latent_x4: 1.0826e-02 out_d_fake_latent_x4: -3.6273e+00 +2025-10-31 15:15:21,295 INFO: [28..][epoch: 4, step: 12,700, lr:(1.500e-04,)] [eta: 1 day, 23:22:48, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.2726e-01 l1_latent_x4_opt: 8.3837e-01 l_g_gan_latent_x2: 3.1286e-02 l_g_gan_latent_x4: 3.6505e-02 l_d_real_latent_x2: 7.2942e-03 out_d_real_latent_x2: 2.1798e+00 l_d_fake_latent_x2: 1.1852e-02 out_d_fake_latent_x2: -3.1278e+00 l_d_real_latent_x4: 1.2815e-02 out_d_real_latent_x4: 2.9914e+00 l_d_fake_latent_x4: 1.0863e-02 out_d_fake_latent_x4: -3.6478e+00 +2025-10-31 15:17:43,771 INFO: [28..][epoch: 4, step: 12,800, lr:(1.500e-04,)] [eta: 1 day, 23:18:54, time (data): 1.424 (0.000)] l1_latent_x2_opt: 6.3051e-01 l1_latent_x4_opt: 8.3976e-01 l_g_gan_latent_x2: 3.8869e-02 l_g_gan_latent_x4: 3.3889e-02 l_d_real_latent_x2: 4.6422e-03 out_d_real_latent_x2: 2.4313e+00 l_d_fake_latent_x2: 1.1218e-02 out_d_fake_latent_x2: -3.8854e+00 l_d_real_latent_x4: 9.2695e-03 out_d_real_latent_x4: 2.9489e+00 l_d_fake_latent_x4: 7.5185e-03 out_d_fake_latent_x4: -3.3883e+00 diff --git a/31_10_2025/28_continue/basicsr_options.yaml b/31_10_2025/28_continue/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1f0c2213e1aff690f8520f46a548ff6fd32c4511 --- /dev/null +++ b/31_10_2025/28_continue/basicsr_options.yaml @@ -0,0 +1,210 @@ +# GENERATE TIME: Fri Oct 31 22:10:59 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + fft_latent_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + fft_latent_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 28_continue +name: 28_continue diff --git a/31_10_2025/28_continue/train_28_continue_20251031_221059.log b/31_10_2025/28_continue/train_28_continue_20251031_221059.log new file mode 100644 index 0000000000000000000000000000000000000000..529d17e382f87940a6f262310cba61b9703ae753 --- /dev/null +++ b/31_10_2025/28_continue/train_28_continue_20251031_221059.log @@ -0,0 +1,908 @@ +2025-10-31 22:10:59,657 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 22:10:59,658 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + ] + fft_latent_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + ] + fft_latent_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28_continue + name: 28_continue + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 22:11:01,338 INFO: Use wandb logger with id=jw717du1; project=Swin2SR-Latent-SR. +2025-10-31 22:11:14,629 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 22:11:14,629 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 3 + Steps per epoch: 6327 + Configured training steps: 125000 + Approximate epochs to cover: 20. +2025-10-31 22:11:14,633 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 22:11:14,633 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 22:11:15,072 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:11:16,489 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 22:11:16,489 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 22:11:17,897 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 22:11:17,953 INFO: Use EMA with decay: 0.999 +2025-10-31 22:11:18,587 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:11:18,991 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 22:11:19,062 INFO: Loss [L1Loss] is created. +2025-10-31 22:11:19,063 INFO: Initialized l1_latent_x2_opt in latent space (w=0.5). +2025-10-31 22:11:19,064 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:11:19,064 INFO: Initialized fft_latent_x2_opt in latent space (w=0.1). +2025-10-31 22:11:19,065 INFO: Loss [L1Loss] is created. +2025-10-31 22:11:19,066 INFO: Initialized l1_latent_x4_opt in latent space (w=0.5). +2025-10-31 22:11:19,067 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:11:19,067 INFO: Initialized fft_latent_x4_opt in latent space (w=0.1). +2025-10-31 22:11:19,070 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 22:11:19,070 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 22:21:52,460 INFO: Start training from epoch: 0, step: 0 +2025-10-31 22:23:42,555 INFO: [28_co..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 1 day, 5:24:22, time (data): 1.101 (0.077)] l1_latent_x2_opt: 6.2470e-01 fft_latent_x2_opt: 4.4421e-01 l1_latent_x4_opt: 8.1271e-01 fft_latent_x4_opt: 5.9570e-01 +2025-10-31 22:25:08,914 INFO: [28_co..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 1 day, 5:39:31, time (data): 0.982 (0.039)] l1_latent_x2_opt: 6.2885e-01 fft_latent_x2_opt: 4.4482e-01 l1_latent_x4_opt: 8.1656e-01 fft_latent_x4_opt: 5.9260e-01 +2025-10-31 22:26:35,385 INFO: [28_co..][epoch: 0, step: 300, lr:(1.500e-04,)] [eta: 1 day, 5:44:25, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.2782e-01 fft_latent_x2_opt: 4.4475e-01 l1_latent_x4_opt: 8.1458e-01 fft_latent_x4_opt: 5.9303e-01 +2025-10-31 22:28:01,739 INFO: [28_co..][epoch: 0, step: 400, lr:(1.500e-04,)] [eta: 1 day, 5:45:33, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2691e-01 fft_latent_x2_opt: 4.4405e-01 l1_latent_x4_opt: 8.1775e-01 fft_latent_x4_opt: 5.9290e-01 +2025-10-31 22:29:28,169 INFO: [28_co..][epoch: 0, step: 500, lr:(1.500e-04,)] [eta: 1 day, 5:45:58, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2280e-01 fft_latent_x2_opt: 4.4167e-01 l1_latent_x4_opt: 8.1115e-01 fft_latent_x4_opt: 5.9001e-01 +2025-10-31 22:30:54,511 INFO: [28_co..][epoch: 0, step: 600, lr:(1.500e-04,)] [eta: 1 day, 5:45:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2648e-01 fft_latent_x2_opt: 4.4259e-01 l1_latent_x4_opt: 8.1464e-01 fft_latent_x4_opt: 5.8686e-01 +2025-10-31 22:32:20,908 INFO: [28_co..][epoch: 0, step: 700, lr:(1.500e-04,)] [eta: 1 day, 5:44:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2261e-01 fft_latent_x2_opt: 4.4517e-01 l1_latent_x4_opt: 8.1081e-01 fft_latent_x4_opt: 5.9448e-01 +2025-10-31 22:33:47,240 INFO: [28_co..][epoch: 0, step: 800, lr:(1.500e-04,)] [eta: 1 day, 5:43:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2933e-01 fft_latent_x2_opt: 4.4616e-01 l1_latent_x4_opt: 8.1705e-01 fft_latent_x4_opt: 5.9296e-01 +2025-10-31 22:35:13,673 INFO: [28_co..][epoch: 0, step: 900, lr:(1.500e-04,)] [eta: 1 day, 5:43:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.3176e-01 fft_latent_x2_opt: 4.4590e-01 l1_latent_x4_opt: 8.1967e-01 fft_latent_x4_opt: 5.9291e-01 +2025-10-31 22:36:40,026 INFO: [28_co..][epoch: 0, step: 1,000, lr:(1.500e-04,)] [eta: 1 day, 5:41:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2277e-01 fft_latent_x2_opt: 4.4047e-01 l1_latent_x4_opt: 8.0957e-01 fft_latent_x4_opt: 5.8680e-01 +2025-10-31 22:38:06,422 INFO: [28_co..][epoch: 0, step: 1,100, lr:(1.500e-04,)] [eta: 1 day, 5:40:47, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2762e-01 fft_latent_x2_opt: 4.4077e-01 l1_latent_x4_opt: 8.1624e-01 fft_latent_x4_opt: 5.8692e-01 +2025-10-31 22:39:32,814 INFO: [28_co..][epoch: 0, step: 1,200, lr:(1.500e-04,)] [eta: 1 day, 5:39:36, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2673e-01 fft_latent_x2_opt: 4.4162e-01 l1_latent_x4_opt: 8.1490e-01 fft_latent_x4_opt: 5.8632e-01 +2025-10-31 22:40:59,160 INFO: [28_co..][epoch: 0, step: 1,300, lr:(1.500e-04,)] [eta: 1 day, 5:38:19, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2071e-01 fft_latent_x2_opt: 4.4078e-01 l1_latent_x4_opt: 8.0813e-01 fft_latent_x4_opt: 5.8781e-01 +2025-10-31 22:42:25,565 INFO: [28_co..][epoch: 0, step: 1,400, lr:(1.500e-04,)] [eta: 1 day, 5:37:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1970e-01 fft_latent_x2_opt: 4.3895e-01 l1_latent_x4_opt: 8.0397e-01 fft_latent_x4_opt: 5.8194e-01 +2025-10-31 22:43:52,070 INFO: [28_co..][epoch: 0, step: 1,500, lr:(1.500e-04,)] [eta: 1 day, 5:35:59, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.2650e-01 fft_latent_x2_opt: 4.4476e-01 l1_latent_x4_opt: 8.1490e-01 fft_latent_x4_opt: 5.9321e-01 +2025-10-31 22:45:18,452 INFO: [28_co..][epoch: 0, step: 1,600, lr:(1.500e-04,)] [eta: 1 day, 5:34:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2400e-01 fft_latent_x2_opt: 4.3924e-01 l1_latent_x4_opt: 8.0889e-01 fft_latent_x4_opt: 5.8407e-01 +2025-10-31 22:46:44,889 INFO: [28_co..][epoch: 0, step: 1,700, lr:(1.500e-04,)] [eta: 1 day, 5:33:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2755e-01 fft_latent_x2_opt: 4.4311e-01 l1_latent_x4_opt: 8.1361e-01 fft_latent_x4_opt: 5.8731e-01 +2025-10-31 22:48:11,291 INFO: [28_co..][epoch: 0, step: 1,800, lr:(1.500e-04,)] [eta: 1 day, 5:32:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2459e-01 fft_latent_x2_opt: 4.4322e-01 l1_latent_x4_opt: 8.1183e-01 fft_latent_x4_opt: 5.8833e-01 +2025-10-31 22:49:37,710 INFO: [28_co..][epoch: 0, step: 1,900, lr:(1.500e-04,)] [eta: 1 day, 5:30:47, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2564e-01 fft_latent_x2_opt: 4.3937e-01 l1_latent_x4_opt: 8.1313e-01 fft_latent_x4_opt: 5.8386e-01 +2025-10-31 22:51:04,096 INFO: [28_co..][epoch: 0, step: 2,000, lr:(1.500e-04,)] [eta: 1 day, 5:29:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2835e-01 fft_latent_x2_opt: 4.4196e-01 l1_latent_x4_opt: 8.1573e-01 fft_latent_x4_opt: 5.8837e-01 +2025-10-31 22:52:30,492 INFO: [28_co..][epoch: 0, step: 2,100, lr:(1.500e-04,)] [eta: 1 day, 5:28:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.3137e-01 fft_latent_x2_opt: 4.3999e-01 l1_latent_x4_opt: 8.1661e-01 fft_latent_x4_opt: 5.8450e-01 +2025-10-31 22:53:56,870 INFO: [28_co..][epoch: 0, step: 2,200, lr:(1.500e-04,)] [eta: 1 day, 5:26:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2080e-01 fft_latent_x2_opt: 4.3973e-01 l1_latent_x4_opt: 8.0783e-01 fft_latent_x4_opt: 5.8223e-01 +2025-10-31 22:55:23,290 INFO: [28_co..][epoch: 0, step: 2,300, lr:(1.500e-04,)] [eta: 1 day, 5:25:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2199e-01 fft_latent_x2_opt: 4.4087e-01 l1_latent_x4_opt: 8.0759e-01 fft_latent_x4_opt: 5.8388e-01 +2025-10-31 22:56:49,673 INFO: [28_co..][epoch: 0, step: 2,400, lr:(1.500e-04,)] [eta: 1 day, 5:23:56, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2657e-01 fft_latent_x2_opt: 4.4066e-01 l1_latent_x4_opt: 8.1483e-01 fft_latent_x4_opt: 5.8303e-01 +2025-10-31 22:58:16,075 INFO: [28_co..][epoch: 0, step: 2,500, lr:(1.500e-04,)] [eta: 1 day, 5:22:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2309e-01 fft_latent_x2_opt: 4.4041e-01 l1_latent_x4_opt: 8.1046e-01 fft_latent_x4_opt: 5.8352e-01 +2025-10-31 22:59:42,427 INFO: [28_co..][epoch: 0, step: 2,600, lr:(1.500e-04,)] [eta: 1 day, 5:21:08, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2242e-01 fft_latent_x2_opt: 4.4158e-01 l1_latent_x4_opt: 8.1136e-01 fft_latent_x4_opt: 5.8883e-01 +2025-10-31 23:01:08,732 INFO: [28_co..][epoch: 0, step: 2,700, lr:(1.500e-04,)] [eta: 1 day, 5:19:41, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2537e-01 fft_latent_x2_opt: 4.4445e-01 l1_latent_x4_opt: 8.1226e-01 fft_latent_x4_opt: 5.9006e-01 +2025-10-31 23:02:35,140 INFO: [28_co..][epoch: 0, step: 2,800, lr:(1.500e-04,)] [eta: 1 day, 5:18:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2202e-01 fft_latent_x2_opt: 4.3827e-01 l1_latent_x4_opt: 8.0734e-01 fft_latent_x4_opt: 5.8436e-01 +2025-10-31 23:04:01,535 INFO: [28_co..][epoch: 0, step: 2,900, lr:(1.500e-04,)] [eta: 1 day, 5:16:54, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2641e-01 fft_latent_x2_opt: 4.3880e-01 l1_latent_x4_opt: 8.1285e-01 fft_latent_x4_opt: 5.8140e-01 +2025-10-31 23:05:27,941 INFO: [28_co..][epoch: 0, step: 3,000, lr:(1.500e-04,)] [eta: 1 day, 5:15:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2507e-01 fft_latent_x2_opt: 4.4099e-01 l1_latent_x4_opt: 8.1035e-01 fft_latent_x4_opt: 5.8406e-01 +2025-10-31 23:06:54,307 INFO: [28_co..][epoch: 0, step: 3,100, lr:(1.500e-04,)] [eta: 1 day, 5:14:05, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2479e-01 fft_latent_x2_opt: 4.3923e-01 l1_latent_x4_opt: 8.1174e-01 fft_latent_x4_opt: 5.8435e-01 +2025-10-31 23:08:20,666 INFO: [28_co..][epoch: 0, step: 3,200, lr:(1.500e-04,)] [eta: 1 day, 5:12:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2507e-01 fft_latent_x2_opt: 4.4336e-01 l1_latent_x4_opt: 8.1149e-01 fft_latent_x4_opt: 5.8793e-01 +2025-10-31 23:09:47,024 INFO: [28_co..][epoch: 0, step: 3,300, lr:(1.500e-04,)] [eta: 1 day, 5:11:14, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2277e-01 fft_latent_x2_opt: 4.4199e-01 l1_latent_x4_opt: 8.1019e-01 fft_latent_x4_opt: 5.8641e-01 +2025-10-31 23:11:13,399 INFO: [28_co..][epoch: 0, step: 3,400, lr:(1.500e-04,)] [eta: 1 day, 5:09:49, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1422e-01 fft_latent_x2_opt: 4.3642e-01 l1_latent_x4_opt: 7.9911e-01 fft_latent_x4_opt: 5.7898e-01 +2025-10-31 23:12:39,801 INFO: [28_co..][epoch: 0, step: 3,500, lr:(1.500e-04,)] [eta: 1 day, 5:08:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2272e-01 fft_latent_x2_opt: 4.3926e-01 l1_latent_x4_opt: 8.1041e-01 fft_latent_x4_opt: 5.8298e-01 +2025-10-31 23:14:06,240 INFO: [28_co..][epoch: 0, step: 3,600, lr:(1.500e-04,)] [eta: 1 day, 5:07:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.3208e-01 fft_latent_x2_opt: 4.3799e-01 l1_latent_x4_opt: 8.1778e-01 fft_latent_x4_opt: 5.8032e-01 +2025-10-31 23:15:32,629 INFO: [28_co..][epoch: 0, step: 3,700, lr:(1.500e-04,)] [eta: 1 day, 5:05:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2570e-01 fft_latent_x2_opt: 4.4219e-01 l1_latent_x4_opt: 8.1411e-01 fft_latent_x4_opt: 5.8680e-01 +2025-10-31 23:16:59,043 INFO: [28_co..][epoch: 0, step: 3,800, lr:(1.500e-04,)] [eta: 1 day, 5:04:13, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.3228e-01 fft_latent_x2_opt: 4.4244e-01 l1_latent_x4_opt: 8.2004e-01 fft_latent_x4_opt: 5.8591e-01 +2025-10-31 23:18:25,384 INFO: [28_co..][epoch: 0, step: 3,900, lr:(1.500e-04,)] [eta: 1 day, 5:02:46, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2353e-01 fft_latent_x2_opt: 4.3653e-01 l1_latent_x4_opt: 8.0897e-01 fft_latent_x4_opt: 5.7784e-01 +2025-10-31 23:19:51,709 INFO: [28_co..][epoch: 0, step: 4,000, lr:(1.500e-04,)] [eta: 1 day, 5:01:19, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1922e-01 fft_latent_x2_opt: 4.3564e-01 l1_latent_x4_opt: 8.0448e-01 fft_latent_x4_opt: 5.7786e-01 +2025-10-31 23:21:18,142 INFO: [28_co..][epoch: 0, step: 4,100, lr:(1.500e-04,)] [eta: 1 day, 4:59:55, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2351e-01 fft_latent_x2_opt: 4.3859e-01 l1_latent_x4_opt: 8.1123e-01 fft_latent_x4_opt: 5.8272e-01 +2025-10-31 23:22:44,557 INFO: [28_co..][epoch: 0, step: 4,200, lr:(1.500e-04,)] [eta: 1 day, 4:58:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1941e-01 fft_latent_x2_opt: 4.3803e-01 l1_latent_x4_opt: 8.0536e-01 fft_latent_x4_opt: 5.8192e-01 +2025-10-31 23:24:10,922 INFO: [28_co..][epoch: 0, step: 4,300, lr:(1.500e-04,)] [eta: 1 day, 4:57:05, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2584e-01 fft_latent_x2_opt: 4.4338e-01 l1_latent_x4_opt: 8.1338e-01 fft_latent_x4_opt: 5.8703e-01 +2025-10-31 23:25:37,292 INFO: [28_co..][epoch: 0, step: 4,400, lr:(1.500e-04,)] [eta: 1 day, 4:55:39, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2168e-01 fft_latent_x2_opt: 4.3706e-01 l1_latent_x4_opt: 8.0724e-01 fft_latent_x4_opt: 5.7871e-01 +2025-10-31 23:27:03,713 INFO: [28_co..][epoch: 0, step: 4,500, lr:(1.500e-04,)] [eta: 1 day, 4:54:14, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2260e-01 fft_latent_x2_opt: 4.4182e-01 l1_latent_x4_opt: 8.0928e-01 fft_latent_x4_opt: 5.8557e-01 +2025-10-31 23:28:30,082 INFO: [28_co..][epoch: 0, step: 4,600, lr:(1.500e-04,)] [eta: 1 day, 4:52:48, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1928e-01 fft_latent_x2_opt: 4.3824e-01 l1_latent_x4_opt: 8.0581e-01 fft_latent_x4_opt: 5.8099e-01 +2025-10-31 23:29:56,426 INFO: [28_co..][epoch: 0, step: 4,700, lr:(1.500e-04,)] [eta: 1 day, 4:51:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2716e-01 fft_latent_x2_opt: 4.4202e-01 l1_latent_x4_opt: 8.1469e-01 fft_latent_x4_opt: 5.8451e-01 +2025-10-31 23:31:22,827 INFO: [28_co..][epoch: 0, step: 4,800, lr:(1.500e-04,)] [eta: 1 day, 4:49:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1751e-01 fft_latent_x2_opt: 4.3885e-01 l1_latent_x4_opt: 8.0581e-01 fft_latent_x4_opt: 5.8410e-01 +2025-10-31 23:32:49,206 INFO: [28_co..][epoch: 0, step: 4,900, lr:(1.500e-04,)] [eta: 1 day, 4:48:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2675e-01 fft_latent_x2_opt: 4.4137e-01 l1_latent_x4_opt: 8.1472e-01 fft_latent_x4_opt: 5.8301e-01 +2025-10-31 23:34:15,553 INFO: [28_co..][epoch: 0, step: 5,000, lr:(1.500e-04,)] [eta: 1 day, 4:47:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2238e-01 fft_latent_x2_opt: 4.3674e-01 l1_latent_x4_opt: 8.0819e-01 fft_latent_x4_opt: 5.7866e-01 +2025-10-31 23:34:15,554 INFO: Saving models and training states. +2025-10-31 23:34:24,356 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 23:35:32,505 INFO: Validation val_x2 + # l1_latent: 0.7029 Best: 0.7029 @ 5000 iter + # pixel_psnr_pt: 26.3744 Best: 26.3744 @ 5000 iter + +2025-10-31 23:38:09,738 INFO: Validation val_x4 + # l1_latent: 0.8860 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2855 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 25.8646 Best: 25.8646 @ 5000 iter + +2025-10-31 23:39:36,107 INFO: [28_co..][epoch: 0, step: 5,100, lr:(1.500e-04,)] [eta: 1 day, 6:17:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1949e-01 fft_latent_x2_opt: 4.3706e-01 l1_latent_x4_opt: 8.0777e-01 fft_latent_x4_opt: 5.8088e-01 +2025-10-31 23:41:02,547 INFO: [28_co..][epoch: 0, step: 5,200, lr:(1.500e-04,)] [eta: 1 day, 6:14:08, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2221e-01 fft_latent_x2_opt: 4.4047e-01 l1_latent_x4_opt: 8.0796e-01 fft_latent_x4_opt: 5.8404e-01 +2025-10-31 23:42:28,888 INFO: [28_co..][epoch: 0, step: 5,300, lr:(1.500e-04,)] [eta: 1 day, 6:10:55, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2224e-01 fft_latent_x2_opt: 4.3970e-01 l1_latent_x4_opt: 8.0928e-01 fft_latent_x4_opt: 5.8228e-01 +2025-10-31 23:43:55,287 INFO: [28_co..][epoch: 0, step: 5,400, lr:(1.500e-04,)] [eta: 1 day, 6:07:48, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1691e-01 fft_latent_x2_opt: 4.3848e-01 l1_latent_x4_opt: 8.0029e-01 fft_latent_x4_opt: 5.7951e-01 +2025-10-31 23:45:21,650 INFO: [28_co..][epoch: 0, step: 5,500, lr:(1.500e-04,)] [eta: 1 day, 6:04:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2584e-01 fft_latent_x2_opt: 4.4235e-01 l1_latent_x4_opt: 8.1219e-01 fft_latent_x4_opt: 5.8671e-01 +2025-10-31 23:46:48,023 INFO: [28_co..][epoch: 0, step: 5,600, lr:(1.500e-04,)] [eta: 1 day, 6:01:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2279e-01 fft_latent_x2_opt: 4.3761e-01 l1_latent_x4_opt: 8.0765e-01 fft_latent_x4_opt: 5.7803e-01 +2025-10-31 23:48:14,364 INFO: [28_co..][epoch: 0, step: 5,700, lr:(1.500e-04,)] [eta: 1 day, 5:58:43, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2177e-01 fft_latent_x2_opt: 4.3847e-01 l1_latent_x4_opt: 8.0787e-01 fft_latent_x4_opt: 5.8146e-01 +2025-10-31 23:49:40,695 INFO: [28_co..][epoch: 0, step: 5,800, lr:(1.500e-04,)] [eta: 1 day, 5:55:48, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1956e-01 fft_latent_x2_opt: 4.3861e-01 l1_latent_x4_opt: 8.0479e-01 fft_latent_x4_opt: 5.8057e-01 +2025-10-31 23:51:07,051 INFO: [28_co..][epoch: 0, step: 5,900, lr:(1.500e-04,)] [eta: 1 day, 5:52:56, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2472e-01 fft_latent_x2_opt: 4.3627e-01 l1_latent_x4_opt: 8.1027e-01 fft_latent_x4_opt: 5.7693e-01 +2025-10-31 23:52:33,404 INFO: [28_co..][epoch: 0, step: 6,000, lr:(1.500e-04,)] [eta: 1 day, 5:50:07, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2135e-01 fft_latent_x2_opt: 4.3380e-01 l1_latent_x4_opt: 8.0531e-01 fft_latent_x4_opt: 5.7377e-01 +2025-10-31 23:53:59,778 INFO: [28_co..][epoch: 0, step: 6,100, lr:(1.500e-04,)] [eta: 1 day, 5:47:21, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1860e-01 fft_latent_x2_opt: 4.3892e-01 l1_latent_x4_opt: 8.0519e-01 fft_latent_x4_opt: 5.8155e-01 +2025-10-31 23:55:26,135 INFO: [28_co..][epoch: 0, step: 6,200, lr:(1.500e-04,)] [eta: 1 day, 5:44:37, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2331e-01 fft_latent_x2_opt: 4.3873e-01 l1_latent_x4_opt: 8.0948e-01 fft_latent_x4_opt: 5.7887e-01 +2025-10-31 23:56:52,468 INFO: [28_co..][epoch: 0, step: 6,300, lr:(1.500e-04,)] [eta: 1 day, 5:41:56, time (data): 0.863 (0.001)] l1_latent_x2_opt: 6.1415e-01 fft_latent_x2_opt: 4.3502e-01 l1_latent_x4_opt: 7.9771e-01 fft_latent_x4_opt: 5.7467e-01 +2025-10-31 23:58:25,238 INFO: [28_co..][epoch: 1, step: 6,400, lr:(1.500e-04,)] [eta: 1 day, 5:41:16, time (data): 0.901 (0.023)] l1_latent_x2_opt: 6.2346e-01 fft_latent_x2_opt: 4.3732e-01 l1_latent_x4_opt: 8.1005e-01 fft_latent_x4_opt: 5.7900e-01 +2025-10-31 23:59:51,621 INFO: [28_co..][epoch: 1, step: 6,500, lr:(1.500e-04,)] [eta: 1 day, 5:38:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1913e-01 fft_latent_x2_opt: 4.3594e-01 l1_latent_x4_opt: 8.0424e-01 fft_latent_x4_opt: 5.7568e-01 +2025-11-01 00:01:17,979 INFO: [28_co..][epoch: 1, step: 6,600, lr:(1.500e-04,)] [eta: 1 day, 5:36:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1825e-01 fft_latent_x2_opt: 4.3384e-01 l1_latent_x4_opt: 8.0343e-01 fft_latent_x4_opt: 5.7491e-01 +2025-11-01 00:02:44,356 INFO: [28_co..][epoch: 1, step: 6,700, lr:(1.500e-04,)] [eta: 1 day, 5:33:27, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1911e-01 fft_latent_x2_opt: 4.3878e-01 l1_latent_x4_opt: 8.0588e-01 fft_latent_x4_opt: 5.8255e-01 +2025-11-01 00:04:10,763 INFO: [28_co..][epoch: 1, step: 6,800, lr:(1.500e-04,)] [eta: 1 day, 5:30:55, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2447e-01 fft_latent_x2_opt: 4.3509e-01 l1_latent_x4_opt: 8.0771e-01 fft_latent_x4_opt: 5.7615e-01 +2025-11-01 00:05:37,141 INFO: [28_co..][epoch: 1, step: 6,900, lr:(1.500e-04,)] [eta: 1 day, 5:28:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2213e-01 fft_latent_x2_opt: 4.3528e-01 l1_latent_x4_opt: 8.0819e-01 fft_latent_x4_opt: 5.7698e-01 +2025-11-01 00:07:03,553 INFO: [28_co..][epoch: 1, step: 7,000, lr:(1.500e-04,)] [eta: 1 day, 5:25:58, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2281e-01 fft_latent_x2_opt: 4.3806e-01 l1_latent_x4_opt: 8.0879e-01 fft_latent_x4_opt: 5.8170e-01 +2025-11-01 00:08:29,928 INFO: [28_co..][epoch: 1, step: 7,100, lr:(1.500e-04,)] [eta: 1 day, 5:23:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1912e-01 fft_latent_x2_opt: 4.3791e-01 l1_latent_x4_opt: 8.0488e-01 fft_latent_x4_opt: 5.8015e-01 +2025-11-01 00:09:56,291 INFO: [28_co..][epoch: 1, step: 7,200, lr:(1.500e-04,)] [eta: 1 day, 5:21:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2032e-01 fft_latent_x2_opt: 4.3860e-01 l1_latent_x4_opt: 8.0630e-01 fft_latent_x4_opt: 5.8203e-01 +2025-11-01 00:11:22,666 INFO: [28_co..][epoch: 1, step: 7,300, lr:(1.500e-04,)] [eta: 1 day, 5:18:43, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1607e-01 fft_latent_x2_opt: 4.3424e-01 l1_latent_x4_opt: 8.0025e-01 fft_latent_x4_opt: 5.7534e-01 +2025-11-01 00:12:49,069 INFO: [28_co..][epoch: 1, step: 7,400, lr:(1.500e-04,)] [eta: 1 day, 5:16:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2279e-01 fft_latent_x2_opt: 4.3533e-01 l1_latent_x4_opt: 8.0811e-01 fft_latent_x4_opt: 5.7632e-01 +2025-11-01 00:14:15,456 INFO: [28_co..][epoch: 1, step: 7,500, lr:(1.500e-04,)] [eta: 1 day, 5:14:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2015e-01 fft_latent_x2_opt: 4.3638e-01 l1_latent_x4_opt: 8.0652e-01 fft_latent_x4_opt: 5.7795e-01 +2025-11-01 00:15:41,844 INFO: [28_co..][epoch: 1, step: 7,600, lr:(1.500e-04,)] [eta: 1 day, 5:11:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1782e-01 fft_latent_x2_opt: 4.3802e-01 l1_latent_x4_opt: 8.0455e-01 fft_latent_x4_opt: 5.8075e-01 +2025-11-01 00:17:08,141 INFO: [28_co..][epoch: 1, step: 7,700, lr:(1.500e-04,)] [eta: 1 day, 5:09:24, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2110e-01 fft_latent_x2_opt: 4.3651e-01 l1_latent_x4_opt: 8.0873e-01 fft_latent_x4_opt: 5.7782e-01 +2025-11-01 00:18:34,471 INFO: [28_co..][epoch: 1, step: 7,800, lr:(1.500e-04,)] [eta: 1 day, 5:07:07, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1488e-01 fft_latent_x2_opt: 4.3543e-01 l1_latent_x4_opt: 7.9991e-01 fft_latent_x4_opt: 5.7527e-01 +2025-11-01 00:20:00,825 INFO: [28_co..][epoch: 1, step: 7,900, lr:(1.500e-04,)] [eta: 1 day, 5:04:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1816e-01 fft_latent_x2_opt: 4.4055e-01 l1_latent_x4_opt: 8.0420e-01 fft_latent_x4_opt: 5.8517e-01 +2025-11-01 00:21:27,267 INFO: [28_co..][epoch: 1, step: 8,000, lr:(1.500e-04,)] [eta: 1 day, 5:02:39, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2099e-01 fft_latent_x2_opt: 4.3597e-01 l1_latent_x4_opt: 8.0713e-01 fft_latent_x4_opt: 5.7710e-01 +2025-11-01 00:22:53,668 INFO: [28_co..][epoch: 1, step: 8,100, lr:(1.500e-04,)] [eta: 1 day, 5:00:27, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1130e-01 fft_latent_x2_opt: 4.3517e-01 l1_latent_x4_opt: 7.9401e-01 fft_latent_x4_opt: 5.7593e-01 +2025-11-01 00:24:20,065 INFO: [28_co..][epoch: 1, step: 8,200, lr:(1.500e-04,)] [eta: 1 day, 4:58:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2064e-01 fft_latent_x2_opt: 4.3676e-01 l1_latent_x4_opt: 8.0545e-01 fft_latent_x4_opt: 5.7895e-01 +2025-11-01 00:25:46,475 INFO: [28_co..][epoch: 1, step: 8,300, lr:(1.500e-04,)] [eta: 1 day, 4:56:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1472e-01 fft_latent_x2_opt: 4.3643e-01 l1_latent_x4_opt: 8.0006e-01 fft_latent_x4_opt: 5.7807e-01 +2025-11-01 00:27:12,882 INFO: [28_co..][epoch: 1, step: 8,400, lr:(1.500e-04,)] [eta: 1 day, 4:53:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1583e-01 fft_latent_x2_opt: 4.3575e-01 l1_latent_x4_opt: 8.0026e-01 fft_latent_x4_opt: 5.7776e-01 +2025-11-01 00:28:39,300 INFO: [28_co..][epoch: 1, step: 8,500, lr:(1.500e-04,)] [eta: 1 day, 4:51:49, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1022e-01 fft_latent_x2_opt: 4.3324e-01 l1_latent_x4_opt: 7.9507e-01 fft_latent_x4_opt: 5.7495e-01 +2025-11-01 00:30:05,688 INFO: [28_co..][epoch: 1, step: 8,600, lr:(1.500e-04,)] [eta: 1 day, 4:49:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1889e-01 fft_latent_x2_opt: 4.3542e-01 l1_latent_x4_opt: 8.0501e-01 fft_latent_x4_opt: 5.7614e-01 +2025-11-01 00:31:32,071 INFO: [28_co..][epoch: 1, step: 8,700, lr:(1.500e-04,)] [eta: 1 day, 4:47:36, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1676e-01 fft_latent_x2_opt: 4.3544e-01 l1_latent_x4_opt: 8.0329e-01 fft_latent_x4_opt: 5.7796e-01 +2025-11-01 00:32:58,428 INFO: [28_co..][epoch: 1, step: 8,800, lr:(1.500e-04,)] [eta: 1 day, 4:45:30, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1510e-01 fft_latent_x2_opt: 4.3680e-01 l1_latent_x4_opt: 8.0040e-01 fft_latent_x4_opt: 5.7808e-01 +2025-11-01 00:34:24,833 INFO: [28_co..][epoch: 1, step: 8,900, lr:(1.500e-04,)] [eta: 1 day, 4:43:26, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1553e-01 fft_latent_x2_opt: 4.3488e-01 l1_latent_x4_opt: 7.9960e-01 fft_latent_x4_opt: 5.7687e-01 +2025-11-01 00:35:51,237 INFO: [28_co..][epoch: 1, step: 9,000, lr:(1.500e-04,)] [eta: 1 day, 4:41:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1732e-01 fft_latent_x2_opt: 4.3487e-01 l1_latent_x4_opt: 8.0304e-01 fft_latent_x4_opt: 5.7546e-01 +2025-11-01 00:37:17,640 INFO: [28_co..][epoch: 1, step: 9,100, lr:(1.500e-04,)] [eta: 1 day, 4:39:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1939e-01 fft_latent_x2_opt: 4.3905e-01 l1_latent_x4_opt: 8.0463e-01 fft_latent_x4_opt: 5.8007e-01 +2025-11-01 00:38:44,025 INFO: [28_co..][epoch: 1, step: 9,200, lr:(1.500e-04,)] [eta: 1 day, 4:37:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1386e-01 fft_latent_x2_opt: 4.3765e-01 l1_latent_x4_opt: 7.9945e-01 fft_latent_x4_opt: 5.7889e-01 +2025-11-01 00:40:10,401 INFO: [28_co..][epoch: 1, step: 9,300, lr:(1.500e-04,)] [eta: 1 day, 4:35:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1301e-01 fft_latent_x2_opt: 4.3355e-01 l1_latent_x4_opt: 7.9772e-01 fft_latent_x4_opt: 5.7525e-01 +2025-11-01 00:41:36,789 INFO: [28_co..][epoch: 1, step: 9,400, lr:(1.500e-04,)] [eta: 1 day, 4:33:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1085e-01 fft_latent_x2_opt: 4.3201e-01 l1_latent_x4_opt: 7.9454e-01 fft_latent_x4_opt: 5.7200e-01 +2025-11-01 00:43:03,186 INFO: [28_co..][epoch: 1, step: 9,500, lr:(1.500e-04,)] [eta: 1 day, 4:31:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1436e-01 fft_latent_x2_opt: 4.3568e-01 l1_latent_x4_opt: 8.0081e-01 fft_latent_x4_opt: 5.7853e-01 +2025-11-01 00:44:29,596 INFO: [28_co..][epoch: 1, step: 9,600, lr:(1.500e-04,)] [eta: 1 day, 4:29:17, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0974e-01 fft_latent_x2_opt: 4.3284e-01 l1_latent_x4_opt: 7.9467e-01 fft_latent_x4_opt: 5.7497e-01 +2025-11-01 00:45:55,996 INFO: [28_co..][epoch: 1, step: 9,700, lr:(1.500e-04,)] [eta: 1 day, 4:27:19, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1174e-01 fft_latent_x2_opt: 4.3327e-01 l1_latent_x4_opt: 7.9532e-01 fft_latent_x4_opt: 5.7477e-01 +2025-11-01 00:47:22,345 INFO: [28_co..][epoch: 1, step: 9,800, lr:(1.500e-04,)] [eta: 1 day, 4:25:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1759e-01 fft_latent_x2_opt: 4.3411e-01 l1_latent_x4_opt: 8.0408e-01 fft_latent_x4_opt: 5.7671e-01 +2025-11-01 00:48:48,776 INFO: [28_co..][epoch: 1, step: 9,900, lr:(1.500e-04,)] [eta: 1 day, 4:23:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1649e-01 fft_latent_x2_opt: 4.3638e-01 l1_latent_x4_opt: 8.0263e-01 fft_latent_x4_opt: 5.7954e-01 +2025-11-01 00:50:15,169 INFO: [28_co..][epoch: 1, step: 10,000, lr:(1.500e-04,)] [eta: 1 day, 4:21:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2086e-01 fft_latent_x2_opt: 4.3541e-01 l1_latent_x4_opt: 8.0919e-01 fft_latent_x4_opt: 5.7918e-01 +2025-11-01 00:50:15,170 INFO: Saving models and training states. +2025-11-01 00:51:37,945 INFO: Validation val_x2 + # l1_latent: 0.7038 Best: 0.7038 @ 10000 iter + # pixel_psnr_pt: 26.4118 Best: 26.4118 @ 10000 iter + +2025-11-01 00:54:03,493 INFO: Validation val_x4 + # l1_latent: 0.8853 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2826 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 25.9621 Best: 25.9621 @ 10000 iter + +2025-11-01 00:55:29,846 INFO: [28_co..][epoch: 1, step: 10,100, lr:(1.500e-04,)] [eta: 1 day, 5:02:49, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1831e-01 fft_latent_x2_opt: 4.3300e-01 l1_latent_x4_opt: 8.0240e-01 fft_latent_x4_opt: 5.7315e-01 +2025-11-01 00:56:56,207 INFO: [28_co..][epoch: 1, step: 10,200, lr:(1.500e-04,)] [eta: 1 day, 5:00:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1703e-01 fft_latent_x2_opt: 4.3737e-01 l1_latent_x4_opt: 8.0220e-01 fft_latent_x4_opt: 5.7941e-01 +2025-11-01 00:58:22,599 INFO: [28_co..][epoch: 1, step: 10,300, lr:(1.500e-04,)] [eta: 1 day, 4:58:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1657e-01 fft_latent_x2_opt: 4.3375e-01 l1_latent_x4_opt: 8.0290e-01 fft_latent_x4_opt: 5.7517e-01 +2025-11-01 00:59:49,005 INFO: [28_co..][epoch: 1, step: 10,400, lr:(1.500e-04,)] [eta: 1 day, 4:55:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1573e-01 fft_latent_x2_opt: 4.3597e-01 l1_latent_x4_opt: 8.0214e-01 fft_latent_x4_opt: 5.7887e-01 +2025-11-01 01:01:15,385 INFO: [28_co..][epoch: 1, step: 10,500, lr:(1.500e-04,)] [eta: 1 day, 4:53:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1404e-01 fft_latent_x2_opt: 4.3394e-01 l1_latent_x4_opt: 7.9886e-01 fft_latent_x4_opt: 5.7345e-01 +2025-11-01 01:02:41,764 INFO: [28_co..][epoch: 1, step: 10,600, lr:(1.500e-04,)] [eta: 1 day, 4:51:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1143e-01 fft_latent_x2_opt: 4.3318e-01 l1_latent_x4_opt: 7.9601e-01 fft_latent_x4_opt: 5.7323e-01 +2025-11-01 01:04:08,103 INFO: [28_co..][epoch: 1, step: 10,700, lr:(1.500e-04,)] [eta: 1 day, 4:48:46, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1849e-01 fft_latent_x2_opt: 4.3585e-01 l1_latent_x4_opt: 8.0373e-01 fft_latent_x4_opt: 5.7662e-01 +2025-11-01 01:05:34,568 INFO: [28_co..][epoch: 1, step: 10,800, lr:(1.500e-04,)] [eta: 1 day, 4:46:30, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1238e-01 fft_latent_x2_opt: 4.3437e-01 l1_latent_x4_opt: 7.9496e-01 fft_latent_x4_opt: 5.7421e-01 +2025-11-01 01:07:00,964 INFO: [28_co..][epoch: 1, step: 10,900, lr:(1.500e-04,)] [eta: 1 day, 4:44:14, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1496e-01 fft_latent_x2_opt: 4.3498e-01 l1_latent_x4_opt: 7.9932e-01 fft_latent_x4_opt: 5.7746e-01 +2025-11-01 01:08:35,374 INFO: [28_co..][epoch: 1, step: 11,000, lr:(1.500e-04,)] [eta: 1 day, 4:43:22, time (data): 0.919 (0.000)] l1_latent_x2_opt: 6.1769e-01 fft_latent_x2_opt: 4.3819e-01 l1_latent_x4_opt: 8.0258e-01 fft_latent_x4_opt: 5.8062e-01 +2025-11-01 01:10:01,744 INFO: [28_co..][epoch: 1, step: 11,100, lr:(1.500e-04,)] [eta: 1 day, 4:41:07, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1274e-01 fft_latent_x2_opt: 4.3266e-01 l1_latent_x4_opt: 7.9653e-01 fft_latent_x4_opt: 5.7347e-01 +2025-11-01 01:11:28,129 INFO: [28_co..][epoch: 1, step: 11,200, lr:(1.500e-04,)] [eta: 1 day, 4:38:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1327e-01 fft_latent_x2_opt: 4.3659e-01 l1_latent_x4_opt: 7.9827e-01 fft_latent_x4_opt: 5.8053e-01 +2025-11-01 01:12:54,485 INFO: [28_co..][epoch: 1, step: 11,300, lr:(1.500e-04,)] [eta: 1 day, 4:36:39, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1531e-01 fft_latent_x2_opt: 4.3363e-01 l1_latent_x4_opt: 7.9931e-01 fft_latent_x4_opt: 5.7364e-01 +2025-11-01 01:14:20,903 INFO: [28_co..][epoch: 1, step: 11,400, lr:(1.500e-04,)] [eta: 1 day, 4:34:27, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1155e-01 fft_latent_x2_opt: 4.3298e-01 l1_latent_x4_opt: 7.9742e-01 fft_latent_x4_opt: 5.7382e-01 +2025-11-01 01:15:47,228 INFO: [28_co..][epoch: 1, step: 11,500, lr:(1.500e-04,)] [eta: 1 day, 4:32:15, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1428e-01 fft_latent_x2_opt: 4.3321e-01 l1_latent_x4_opt: 7.9885e-01 fft_latent_x4_opt: 5.7431e-01 +2025-11-01 01:17:13,560 INFO: [28_co..][epoch: 1, step: 11,600, lr:(1.500e-04,)] [eta: 1 day, 4:30:03, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1182e-01 fft_latent_x2_opt: 4.3502e-01 l1_latent_x4_opt: 7.9496e-01 fft_latent_x4_opt: 5.7470e-01 +2025-11-01 01:18:39,901 INFO: [28_co..][epoch: 1, step: 11,700, lr:(1.500e-04,)] [eta: 1 day, 4:27:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1322e-01 fft_latent_x2_opt: 4.3383e-01 l1_latent_x4_opt: 7.9846e-01 fft_latent_x4_opt: 5.7550e-01 +2025-11-01 01:20:06,286 INFO: [28_co..][epoch: 1, step: 11,800, lr:(1.500e-04,)] [eta: 1 day, 4:25:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0927e-01 fft_latent_x2_opt: 4.3368e-01 l1_latent_x4_opt: 7.9294e-01 fft_latent_x4_opt: 5.7470e-01 +2025-11-01 01:21:32,675 INFO: [28_co..][epoch: 1, step: 11,900, lr:(1.500e-04,)] [eta: 1 day, 4:23:35, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2025e-01 fft_latent_x2_opt: 4.3345e-01 l1_latent_x4_opt: 8.0507e-01 fft_latent_x4_opt: 5.7215e-01 +2025-11-01 01:22:59,042 INFO: [28_co..][epoch: 1, step: 12,000, lr:(1.500e-04,)] [eta: 1 day, 4:21:26, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1716e-01 fft_latent_x2_opt: 4.3352e-01 l1_latent_x4_opt: 7.9998e-01 fft_latent_x4_opt: 5.7282e-01 +2025-11-01 01:24:25,399 INFO: [28_co..][epoch: 1, step: 12,100, lr:(1.500e-04,)] [eta: 1 day, 4:19:19, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1588e-01 fft_latent_x2_opt: 4.3300e-01 l1_latent_x4_opt: 7.9912e-01 fft_latent_x4_opt: 5.7194e-01 +2025-11-01 01:25:51,857 INFO: [28_co..][epoch: 1, step: 12,200, lr:(1.500e-04,)] [eta: 1 day, 4:17:13, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1482e-01 fft_latent_x2_opt: 4.3288e-01 l1_latent_x4_opt: 8.0143e-01 fft_latent_x4_opt: 5.7343e-01 +2025-11-01 01:27:18,240 INFO: [28_co..][epoch: 1, step: 12,300, lr:(1.500e-04,)] [eta: 1 day, 4:15:07, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1319e-01 fft_latent_x2_opt: 4.3397e-01 l1_latent_x4_opt: 7.9841e-01 fft_latent_x4_opt: 5.7359e-01 +2025-11-01 01:28:44,652 INFO: [28_co..][epoch: 1, step: 12,400, lr:(1.500e-04,)] [eta: 1 day, 4:13:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0920e-01 fft_latent_x2_opt: 4.3206e-01 l1_latent_x4_opt: 7.9456e-01 fft_latent_x4_opt: 5.7231e-01 +2025-11-01 01:30:11,057 INFO: [28_co..][epoch: 1, step: 12,500, lr:(1.500e-04,)] [eta: 1 day, 4:10:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0990e-01 fft_latent_x2_opt: 4.3197e-01 l1_latent_x4_opt: 7.9440e-01 fft_latent_x4_opt: 5.7269e-01 +2025-11-01 01:31:37,455 INFO: [28_co..][epoch: 1, step: 12,600, lr:(1.500e-04,)] [eta: 1 day, 4:08:53, time (data): 0.864 (0.001)] l1_latent_x2_opt: 6.1277e-01 fft_latent_x2_opt: 4.3519e-01 l1_latent_x4_opt: 7.9800e-01 fft_latent_x4_opt: 5.7585e-01 +2025-11-01 01:33:09,805 INFO: [28_co..][epoch: 2, step: 12,700, lr:(1.500e-04,)] [eta: 1 day, 4:07:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0964e-01 fft_latent_x2_opt: 4.2935e-01 l1_latent_x4_opt: 7.9388e-01 fft_latent_x4_opt: 5.6929e-01 +2025-11-01 01:34:36,285 INFO: [28_co..][epoch: 2, step: 12,800, lr:(1.500e-04,)] [eta: 1 day, 4:05:40, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1599e-01 fft_latent_x2_opt: 4.3350e-01 l1_latent_x4_opt: 8.0148e-01 fft_latent_x4_opt: 5.7316e-01 +2025-11-01 01:36:02,641 INFO: [28_co..][epoch: 2, step: 12,900, lr:(1.500e-04,)] [eta: 1 day, 4:03:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1689e-01 fft_latent_x2_opt: 4.3541e-01 l1_latent_x4_opt: 8.0237e-01 fft_latent_x4_opt: 5.7645e-01 +2025-11-01 01:37:29,044 INFO: [28_co..][epoch: 2, step: 13,000, lr:(1.500e-04,)] [eta: 1 day, 4:01:35, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1668e-01 fft_latent_x2_opt: 4.3769e-01 l1_latent_x4_opt: 8.0278e-01 fft_latent_x4_opt: 5.8080e-01 +2025-11-01 01:38:55,441 INFO: [28_co..][epoch: 2, step: 13,100, lr:(1.500e-04,)] [eta: 1 day, 3:59:33, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1216e-01 fft_latent_x2_opt: 4.3368e-01 l1_latent_x4_opt: 7.9615e-01 fft_latent_x4_opt: 5.7418e-01 +2025-11-01 01:40:21,799 INFO: [28_co..][epoch: 2, step: 13,200, lr:(1.500e-04,)] [eta: 1 day, 3:57:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1338e-01 fft_latent_x2_opt: 4.3178e-01 l1_latent_x4_opt: 7.9920e-01 fft_latent_x4_opt: 5.7141e-01 +2025-11-01 01:41:48,203 INFO: [28_co..][epoch: 2, step: 13,300, lr:(1.500e-04,)] [eta: 1 day, 3:55:32, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1294e-01 fft_latent_x2_opt: 4.3130e-01 l1_latent_x4_opt: 7.9797e-01 fft_latent_x4_opt: 5.7040e-01 +2025-11-01 01:43:14,553 INFO: [28_co..][epoch: 2, step: 13,400, lr:(1.500e-04,)] [eta: 1 day, 3:53:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1411e-01 fft_latent_x2_opt: 4.3511e-01 l1_latent_x4_opt: 7.9892e-01 fft_latent_x4_opt: 5.7676e-01 +2025-11-01 01:44:40,881 INFO: [28_co..][epoch: 2, step: 13,500, lr:(1.500e-04,)] [eta: 1 day, 3:51:31, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1196e-01 fft_latent_x2_opt: 4.2877e-01 l1_latent_x4_opt: 7.9681e-01 fft_latent_x4_opt: 5.6628e-01 +2025-11-01 01:46:07,235 INFO: [28_co..][epoch: 2, step: 13,600, lr:(1.500e-04,)] [eta: 1 day, 3:49:32, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1577e-01 fft_latent_x2_opt: 4.3414e-01 l1_latent_x4_opt: 8.0215e-01 fft_latent_x4_opt: 5.7599e-01 +2025-11-01 01:47:33,582 INFO: [28_co..][epoch: 2, step: 13,700, lr:(1.500e-04,)] [eta: 1 day, 3:47:33, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1119e-01 fft_latent_x2_opt: 4.3002e-01 l1_latent_x4_opt: 7.9668e-01 fft_latent_x4_opt: 5.6909e-01 +2025-11-01 01:48:59,980 INFO: [28_co..][epoch: 2, step: 13,800, lr:(1.500e-04,)] [eta: 1 day, 3:45:35, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1356e-01 fft_latent_x2_opt: 4.3440e-01 l1_latent_x4_opt: 7.9884e-01 fft_latent_x4_opt: 5.7429e-01 +2025-11-01 01:50:26,343 INFO: [28_co..][epoch: 2, step: 13,900, lr:(1.500e-04,)] [eta: 1 day, 3:43:37, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0982e-01 fft_latent_x2_opt: 4.3025e-01 l1_latent_x4_opt: 7.9346e-01 fft_latent_x4_opt: 5.6772e-01 +2025-11-01 01:51:52,749 INFO: [28_co..][epoch: 2, step: 14,000, lr:(1.500e-04,)] [eta: 1 day, 3:41:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1274e-01 fft_latent_x2_opt: 4.3477e-01 l1_latent_x4_opt: 7.9914e-01 fft_latent_x4_opt: 5.7781e-01 +2025-11-01 01:53:19,187 INFO: [28_co..][epoch: 2, step: 14,100, lr:(1.500e-04,)] [eta: 1 day, 3:39:43, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1933e-01 fft_latent_x2_opt: 4.3485e-01 l1_latent_x4_opt: 8.0716e-01 fft_latent_x4_opt: 5.7748e-01 +2025-11-01 01:54:45,592 INFO: [28_co..][epoch: 2, step: 14,200, lr:(1.500e-04,)] [eta: 1 day, 3:37:47, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1591e-01 fft_latent_x2_opt: 4.3423e-01 l1_latent_x4_opt: 8.0123e-01 fft_latent_x4_opt: 5.7480e-01 +2025-11-01 01:56:11,990 INFO: [28_co..][epoch: 2, step: 14,300, lr:(1.500e-04,)] [eta: 1 day, 3:35:51, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0615e-01 fft_latent_x2_opt: 4.3140e-01 l1_latent_x4_opt: 7.9018e-01 fft_latent_x4_opt: 5.7225e-01 +2025-11-01 01:57:38,348 INFO: [28_co..][epoch: 2, step: 14,400, lr:(1.500e-04,)] [eta: 1 day, 3:33:55, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1279e-01 fft_latent_x2_opt: 4.3695e-01 l1_latent_x4_opt: 7.9990e-01 fft_latent_x4_opt: 5.8135e-01 +2025-11-01 01:59:04,743 INFO: [28_co..][epoch: 2, step: 14,500, lr:(1.500e-04,)] [eta: 1 day, 3:32:00, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1117e-01 fft_latent_x2_opt: 4.3295e-01 l1_latent_x4_opt: 7.9657e-01 fft_latent_x4_opt: 5.7370e-01 +2025-11-01 02:00:31,150 INFO: [28_co..][epoch: 2, step: 14,600, lr:(1.500e-04,)] [eta: 1 day, 3:30:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1401e-01 fft_latent_x2_opt: 4.3313e-01 l1_latent_x4_opt: 7.9794e-01 fft_latent_x4_opt: 5.7253e-01 +2025-11-01 02:01:57,586 INFO: [28_co..][epoch: 2, step: 14,700, lr:(1.500e-04,)] [eta: 1 day, 3:28:11, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1236e-01 fft_latent_x2_opt: 4.3038e-01 l1_latent_x4_opt: 7.9682e-01 fft_latent_x4_opt: 5.6870e-01 +2025-11-01 02:03:24,034 INFO: [28_co..][epoch: 2, step: 14,800, lr:(1.500e-04,)] [eta: 1 day, 3:26:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0838e-01 fft_latent_x2_opt: 4.2914e-01 l1_latent_x4_opt: 7.9228e-01 fft_latent_x4_opt: 5.7099e-01 +2025-11-01 02:04:50,429 INFO: [28_co..][epoch: 2, step: 14,900, lr:(1.500e-04,)] [eta: 1 day, 3:24:24, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0680e-01 fft_latent_x2_opt: 4.2801e-01 l1_latent_x4_opt: 7.9043e-01 fft_latent_x4_opt: 5.6576e-01 +2025-11-01 02:06:16,821 INFO: [28_co..][epoch: 2, step: 15,000, lr:(1.500e-04,)] [eta: 1 day, 3:22:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1601e-01 fft_latent_x2_opt: 4.3270e-01 l1_latent_x4_opt: 8.0215e-01 fft_latent_x4_opt: 5.7147e-01 +2025-11-01 02:06:16,822 INFO: Saving models and training states. +2025-11-01 02:07:32,274 INFO: Validation val_x2 + # l1_latent: 0.7055 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.4343 Best: 26.4343 @ 15000 iter + +2025-11-01 02:10:01,234 INFO: Validation val_x4 + # l1_latent: 0.8860 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2845 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 26.0316 Best: 26.0316 @ 15000 iter + +2025-11-01 02:11:27,571 INFO: [28_co..][epoch: 2, step: 15,100, lr:(1.500e-04,)] [eta: 1 day, 3:47:51, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1705e-01 fft_latent_x2_opt: 4.3019e-01 l1_latent_x4_opt: 8.0271e-01 fft_latent_x4_opt: 5.7028e-01 +2025-11-01 02:12:53,912 INFO: [28_co..][epoch: 2, step: 15,200, lr:(1.500e-04,)] [eta: 1 day, 3:45:46, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0716e-01 fft_latent_x2_opt: 4.3151e-01 l1_latent_x4_opt: 7.9160e-01 fft_latent_x4_opt: 5.7341e-01 +2025-11-01 02:14:20,286 INFO: [28_co..][epoch: 2, step: 15,300, lr:(1.500e-04,)] [eta: 1 day, 3:43:41, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0877e-01 fft_latent_x2_opt: 4.3201e-01 l1_latent_x4_opt: 7.9443e-01 fft_latent_x4_opt: 5.7336e-01 +2025-11-01 02:15:46,657 INFO: [28_co..][epoch: 2, step: 15,400, lr:(1.500e-04,)] [eta: 1 day, 3:41:38, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1872e-01 fft_latent_x2_opt: 4.3534e-01 l1_latent_x4_opt: 8.0384e-01 fft_latent_x4_opt: 5.7552e-01 +2025-11-01 02:17:12,993 INFO: [28_co..][epoch: 2, step: 15,500, lr:(1.500e-04,)] [eta: 1 day, 3:39:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1069e-01 fft_latent_x2_opt: 4.3348e-01 l1_latent_x4_opt: 7.9386e-01 fft_latent_x4_opt: 5.7201e-01 +2025-11-01 02:18:39,420 INFO: [28_co..][epoch: 2, step: 15,600, lr:(1.500e-04,)] [eta: 1 day, 3:37:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0475e-01 fft_latent_x2_opt: 4.2852e-01 l1_latent_x4_opt: 7.8854e-01 fft_latent_x4_opt: 5.6808e-01 +2025-11-01 02:20:05,805 INFO: [28_co..][epoch: 2, step: 15,700, lr:(1.500e-04,)] [eta: 1 day, 3:35:29, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1303e-01 fft_latent_x2_opt: 4.2981e-01 l1_latent_x4_opt: 7.9847e-01 fft_latent_x4_opt: 5.6839e-01 +2025-11-01 02:21:32,147 INFO: [28_co..][epoch: 2, step: 15,800, lr:(1.500e-04,)] [eta: 1 day, 3:33:27, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1917e-01 fft_latent_x2_opt: 4.3825e-01 l1_latent_x4_opt: 8.0482e-01 fft_latent_x4_opt: 5.8087e-01 +2025-11-01 02:22:58,498 INFO: [28_co..][epoch: 2, step: 15,900, lr:(1.500e-04,)] [eta: 1 day, 3:31:25, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0697e-01 fft_latent_x2_opt: 4.2925e-01 l1_latent_x4_opt: 7.9184e-01 fft_latent_x4_opt: 5.6792e-01 +2025-11-01 02:24:24,858 INFO: [28_co..][epoch: 2, step: 16,000, lr:(1.500e-04,)] [eta: 1 day, 3:29:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0798e-01 fft_latent_x2_opt: 4.3063e-01 l1_latent_x4_opt: 7.9250e-01 fft_latent_x4_opt: 5.6889e-01 +2025-11-01 02:25:51,169 INFO: [28_co..][epoch: 2, step: 16,100, lr:(1.500e-04,)] [eta: 1 day, 3:27:23, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1046e-01 fft_latent_x2_opt: 4.3308e-01 l1_latent_x4_opt: 7.9444e-01 fft_latent_x4_opt: 5.7404e-01 +2025-11-01 02:27:17,546 INFO: [28_co..][epoch: 2, step: 16,200, lr:(1.500e-04,)] [eta: 1 day, 3:25:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0959e-01 fft_latent_x2_opt: 4.3294e-01 l1_latent_x4_opt: 7.9414e-01 fft_latent_x4_opt: 5.7568e-01 +2025-11-01 02:28:43,908 INFO: [28_co..][epoch: 2, step: 16,300, lr:(1.500e-04,)] [eta: 1 day, 3:23:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0746e-01 fft_latent_x2_opt: 4.3357e-01 l1_latent_x4_opt: 7.9147e-01 fft_latent_x4_opt: 5.7393e-01 +2025-11-01 02:30:10,301 INFO: [28_co..][epoch: 2, step: 16,400, lr:(1.500e-04,)] [eta: 1 day, 3:21:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1035e-01 fft_latent_x2_opt: 4.3225e-01 l1_latent_x4_opt: 7.9546e-01 fft_latent_x4_opt: 5.7165e-01 +2025-11-01 02:31:36,636 INFO: [28_co..][epoch: 2, step: 16,500, lr:(1.500e-04,)] [eta: 1 day, 3:19:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1177e-01 fft_latent_x2_opt: 4.3150e-01 l1_latent_x4_opt: 7.9668e-01 fft_latent_x4_opt: 5.6998e-01 +2025-11-01 02:33:03,040 INFO: [28_co..][epoch: 2, step: 16,600, lr:(1.500e-04,)] [eta: 1 day, 3:17:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1025e-01 fft_latent_x2_opt: 4.3313e-01 l1_latent_x4_opt: 7.9305e-01 fft_latent_x4_opt: 5.7300e-01 +2025-11-01 02:34:29,509 INFO: [28_co..][epoch: 2, step: 16,700, lr:(1.500e-04,)] [eta: 1 day, 3:15:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0812e-01 fft_latent_x2_opt: 4.3139e-01 l1_latent_x4_opt: 7.9376e-01 fft_latent_x4_opt: 5.7287e-01 +2025-11-01 02:35:55,925 INFO: [28_co..][epoch: 2, step: 16,800, lr:(1.500e-04,)] [eta: 1 day, 3:13:30, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1140e-01 fft_latent_x2_opt: 4.3233e-01 l1_latent_x4_opt: 7.9675e-01 fft_latent_x4_opt: 5.7050e-01 +2025-11-01 02:37:22,529 INFO: [28_co..][epoch: 2, step: 16,900, lr:(1.500e-04,)] [eta: 1 day, 3:11:34, time (data): 0.876 (0.003)] l1_latent_x2_opt: 6.1535e-01 fft_latent_x2_opt: 4.3485e-01 l1_latent_x4_opt: 7.9952e-01 fft_latent_x4_opt: 5.7471e-01 +2025-11-01 02:38:48,962 INFO: [28_co..][epoch: 2, step: 17,000, lr:(1.500e-04,)] [eta: 1 day, 3:09:37, time (data): 0.866 (0.001)] l1_latent_x2_opt: 6.0644e-01 fft_latent_x2_opt: 4.2892e-01 l1_latent_x4_opt: 7.9113e-01 fft_latent_x4_opt: 5.6824e-01 +2025-11-01 02:40:15,339 INFO: [28_co..][epoch: 2, step: 17,100, lr:(1.500e-04,)] [eta: 1 day, 3:07:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1118e-01 fft_latent_x2_opt: 4.3234e-01 l1_latent_x4_opt: 7.9482e-01 fft_latent_x4_opt: 5.7342e-01 +2025-11-01 02:41:41,747 INFO: [28_co..][epoch: 2, step: 17,200, lr:(1.500e-04,)] [eta: 1 day, 3:05:44, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1402e-01 fft_latent_x2_opt: 4.3432e-01 l1_latent_x4_opt: 8.0110e-01 fft_latent_x4_opt: 5.7522e-01 +2025-11-01 02:43:08,109 INFO: [28_co..][epoch: 2, step: 17,300, lr:(1.500e-04,)] [eta: 1 day, 3:03:48, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0758e-01 fft_latent_x2_opt: 4.2933e-01 l1_latent_x4_opt: 7.9247e-01 fft_latent_x4_opt: 5.6848e-01 +2025-11-01 02:44:34,469 INFO: [28_co..][epoch: 2, step: 17,400, lr:(1.500e-04,)] [eta: 1 day, 3:01:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0962e-01 fft_latent_x2_opt: 4.3285e-01 l1_latent_x4_opt: 7.9536e-01 fft_latent_x4_opt: 5.7452e-01 +2025-11-01 02:46:00,821 INFO: [28_co..][epoch: 2, step: 17,500, lr:(1.500e-04,)] [eta: 1 day, 2:59:57, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1337e-01 fft_latent_x2_opt: 4.3345e-01 l1_latent_x4_opt: 7.9954e-01 fft_latent_x4_opt: 5.7429e-01 +2025-11-01 02:47:27,173 INFO: [28_co..][epoch: 2, step: 17,600, lr:(1.500e-04,)] [eta: 1 day, 2:58:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0807e-01 fft_latent_x2_opt: 4.2968e-01 l1_latent_x4_opt: 7.9439e-01 fft_latent_x4_opt: 5.7047e-01 +2025-11-01 02:48:53,568 INFO: [28_co..][epoch: 2, step: 17,700, lr:(1.500e-04,)] [eta: 1 day, 2:56:07, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0567e-01 fft_latent_x2_opt: 4.3103e-01 l1_latent_x4_opt: 7.8992e-01 fft_latent_x4_opt: 5.7109e-01 +2025-11-01 02:50:20,041 INFO: [28_co..][epoch: 2, step: 17,800, lr:(1.500e-04,)] [eta: 1 day, 2:54:13, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1418e-01 fft_latent_x2_opt: 4.3352e-01 l1_latent_x4_opt: 7.9755e-01 fft_latent_x4_opt: 5.7245e-01 +2025-11-01 02:51:46,423 INFO: [28_co..][epoch: 2, step: 17,900, lr:(1.500e-04,)] [eta: 1 day, 2:52:19, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1005e-01 fft_latent_x2_opt: 4.3348e-01 l1_latent_x4_opt: 7.9462e-01 fft_latent_x4_opt: 5.7326e-01 +2025-11-01 02:53:12,812 INFO: [28_co..][epoch: 2, step: 18,000, lr:(1.500e-04,)] [eta: 1 day, 2:50:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1383e-01 fft_latent_x2_opt: 4.3213e-01 l1_latent_x4_opt: 7.9777e-01 fft_latent_x4_opt: 5.7102e-01 +2025-11-01 02:54:39,191 INFO: [28_co..][epoch: 2, step: 18,100, lr:(1.500e-04,)] [eta: 1 day, 2:48:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0565e-01 fft_latent_x2_opt: 4.3117e-01 l1_latent_x4_opt: 7.8777e-01 fft_latent_x4_opt: 5.7080e-01 +2025-11-01 02:56:05,585 INFO: [28_co..][epoch: 2, step: 18,200, lr:(1.500e-04,)] [eta: 1 day, 2:46:39, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1372e-01 fft_latent_x2_opt: 4.3280e-01 l1_latent_x4_opt: 8.0083e-01 fft_latent_x4_opt: 5.7362e-01 +2025-11-01 02:57:31,935 INFO: [28_co..][epoch: 2, step: 18,300, lr:(1.500e-04,)] [eta: 1 day, 2:44:46, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0780e-01 fft_latent_x2_opt: 4.3166e-01 l1_latent_x4_opt: 7.9314e-01 fft_latent_x4_opt: 5.7163e-01 +2025-11-01 02:58:58,300 INFO: [28_co..][epoch: 2, step: 18,400, lr:(1.500e-04,)] [eta: 1 day, 2:42:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1880e-01 fft_latent_x2_opt: 4.3513e-01 l1_latent_x4_opt: 8.0410e-01 fft_latent_x4_opt: 5.7547e-01 +2025-11-01 03:00:24,681 INFO: [28_co..][epoch: 2, step: 18,500, lr:(1.500e-04,)] [eta: 1 day, 2:41:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1260e-01 fft_latent_x2_opt: 4.3288e-01 l1_latent_x4_opt: 7.9852e-01 fft_latent_x4_opt: 5.7378e-01 +2025-11-01 03:01:51,057 INFO: [28_co..][epoch: 2, step: 18,600, lr:(1.500e-04,)] [eta: 1 day, 2:39:09, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0590e-01 fft_latent_x2_opt: 4.3059e-01 l1_latent_x4_opt: 7.9239e-01 fft_latent_x4_opt: 5.7127e-01 +2025-11-01 03:03:17,435 INFO: [28_co..][epoch: 2, step: 18,700, lr:(1.500e-04,)] [eta: 1 day, 2:37:17, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1821e-01 fft_latent_x2_opt: 4.3212e-01 l1_latent_x4_opt: 8.0307e-01 fft_latent_x4_opt: 5.6946e-01 +2025-11-01 03:04:43,827 INFO: [28_co..][epoch: 2, step: 18,800, lr:(1.500e-04,)] [eta: 1 day, 2:35:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1056e-01 fft_latent_x2_opt: 4.3264e-01 l1_latent_x4_opt: 7.9537e-01 fft_latent_x4_opt: 5.7246e-01 +2025-11-01 03:06:10,209 INFO: [28_co..][epoch: 2, step: 18,900, lr:(1.500e-04,)] [eta: 1 day, 2:33:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0891e-01 fft_latent_x2_opt: 4.3065e-01 l1_latent_x4_opt: 7.9520e-01 fft_latent_x4_opt: 5.7111e-01 +2025-11-01 03:07:42,706 INFO: [28_co..][epoch: 3, step: 19,000, lr:(1.500e-04,)] [eta: 1 day, 2:32:17, time (data): 0.922 (0.053)] l1_latent_x2_opt: 6.0695e-01 fft_latent_x2_opt: 4.2797e-01 l1_latent_x4_opt: 7.9107e-01 fft_latent_x4_opt: 5.6610e-01 +2025-11-01 03:09:09,077 INFO: [28_co..][epoch: 3, step: 19,100, lr:(1.500e-04,)] [eta: 1 day, 2:30:26, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1504e-01 fft_latent_x2_opt: 4.3179e-01 l1_latent_x4_opt: 8.0171e-01 fft_latent_x4_opt: 5.7139e-01 +2025-11-01 03:10:35,458 INFO: [28_co..][epoch: 3, step: 19,200, lr:(1.500e-04,)] [eta: 1 day, 2:28:36, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0925e-01 fft_latent_x2_opt: 4.2857e-01 l1_latent_x4_opt: 7.9361e-01 fft_latent_x4_opt: 5.6735e-01 +2025-11-01 03:12:01,854 INFO: [28_co..][epoch: 3, step: 19,300, lr:(1.500e-04,)] [eta: 1 day, 2:26:45, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0824e-01 fft_latent_x2_opt: 4.2934e-01 l1_latent_x4_opt: 7.9226e-01 fft_latent_x4_opt: 5.6959e-01 +2025-11-01 03:13:28,215 INFO: [28_co..][epoch: 3, step: 19,400, lr:(1.500e-04,)] [eta: 1 day, 2:24:55, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1049e-01 fft_latent_x2_opt: 4.3409e-01 l1_latent_x4_opt: 7.9707e-01 fft_latent_x4_opt: 5.7580e-01 +2025-11-01 03:14:54,541 INFO: [28_co..][epoch: 3, step: 19,500, lr:(1.500e-04,)] [eta: 1 day, 2:23:05, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0953e-01 fft_latent_x2_opt: 4.3113e-01 l1_latent_x4_opt: 7.9504e-01 fft_latent_x4_opt: 5.7036e-01 +2025-11-01 03:16:20,896 INFO: [28_co..][epoch: 3, step: 19,600, lr:(1.500e-04,)] [eta: 1 day, 2:21:15, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1126e-01 fft_latent_x2_opt: 4.3319e-01 l1_latent_x4_opt: 7.9735e-01 fft_latent_x4_opt: 5.7288e-01 +2025-11-01 03:17:47,257 INFO: [28_co..][epoch: 3, step: 19,700, lr:(1.500e-04,)] [eta: 1 day, 2:19:25, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0590e-01 fft_latent_x2_opt: 4.2967e-01 l1_latent_x4_opt: 7.9106e-01 fft_latent_x4_opt: 5.6980e-01 +2025-11-01 03:19:13,656 INFO: [28_co..][epoch: 3, step: 19,800, lr:(1.500e-04,)] [eta: 1 day, 2:17:36, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0940e-01 fft_latent_x2_opt: 4.3290e-01 l1_latent_x4_opt: 7.9550e-01 fft_latent_x4_opt: 5.7470e-01 +2025-11-01 03:20:40,031 INFO: [28_co..][epoch: 3, step: 19,900, lr:(1.500e-04,)] [eta: 1 day, 2:15:47, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0886e-01 fft_latent_x2_opt: 4.3023e-01 l1_latent_x4_opt: 7.9251e-01 fft_latent_x4_opt: 5.6876e-01 +2025-11-01 03:22:06,402 INFO: [28_co..][epoch: 3, step: 20,000, lr:(1.500e-04,)] [eta: 1 day, 2:13:59, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1160e-01 fft_latent_x2_opt: 4.2763e-01 l1_latent_x4_opt: 7.9785e-01 fft_latent_x4_opt: 5.6746e-01 +2025-11-01 03:22:06,404 INFO: Saving models and training states. +2025-11-01 03:23:28,980 INFO: Validation val_x2 + # l1_latent: 0.7033 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.4719 Best: 26.4719 @ 20000 iter + +2025-11-01 03:25:50,887 INFO: Validation val_x4 + # l1_latent: 0.8834 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2771 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 26.0982 Best: 26.0982 @ 20000 iter + +2025-11-01 03:27:17,295 INFO: [28_co..][epoch: 3, step: 20,100, lr:(1.500e-04,)] [eta: 1 day, 2:31:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0662e-01 fft_latent_x2_opt: 4.3183e-01 l1_latent_x4_opt: 7.9074e-01 fft_latent_x4_opt: 5.7204e-01 +2025-11-01 03:28:43,694 INFO: [28_co..][epoch: 3, step: 20,200, lr:(1.500e-04,)] [eta: 1 day, 2:29:46, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1138e-01 fft_latent_x2_opt: 4.3018e-01 l1_latent_x4_opt: 7.9718e-01 fft_latent_x4_opt: 5.7001e-01 +2025-11-01 03:30:10,101 INFO: [28_co..][epoch: 3, step: 20,300, lr:(1.500e-04,)] [eta: 1 day, 2:27:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0813e-01 fft_latent_x2_opt: 4.2861e-01 l1_latent_x4_opt: 7.9339e-01 fft_latent_x4_opt: 5.6766e-01 +2025-11-01 03:31:36,516 INFO: [28_co..][epoch: 3, step: 20,400, lr:(1.500e-04,)] [eta: 1 day, 2:25:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1286e-01 fft_latent_x2_opt: 4.3172e-01 l1_latent_x4_opt: 7.9847e-01 fft_latent_x4_opt: 5.7204e-01 +2025-11-01 03:33:02,895 INFO: [28_co..][epoch: 3, step: 20,500, lr:(1.500e-04,)] [eta: 1 day, 2:24:03, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0751e-01 fft_latent_x2_opt: 4.3109e-01 l1_latent_x4_opt: 7.9029e-01 fft_latent_x4_opt: 5.6925e-01 +2025-11-01 03:34:29,322 INFO: [28_co..][epoch: 3, step: 20,600, lr:(1.500e-04,)] [eta: 1 day, 2:22:09, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0406e-01 fft_latent_x2_opt: 4.2929e-01 l1_latent_x4_opt: 7.8834e-01 fft_latent_x4_opt: 5.6924e-01 +2025-11-01 03:35:55,980 INFO: [28_co..][epoch: 3, step: 20,700, lr:(1.500e-04,)] [eta: 1 day, 2:20:15, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1086e-01 fft_latent_x2_opt: 4.3360e-01 l1_latent_x4_opt: 7.9777e-01 fft_latent_x4_opt: 5.7416e-01 +2025-11-01 03:37:22,354 INFO: [28_co..][epoch: 3, step: 20,800, lr:(1.500e-04,)] [eta: 1 day, 2:18:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0534e-01 fft_latent_x2_opt: 4.3218e-01 l1_latent_x4_opt: 7.9000e-01 fft_latent_x4_opt: 5.7270e-01 +2025-11-01 03:38:48,831 INFO: [28_co..][epoch: 3, step: 20,900, lr:(1.500e-04,)] [eta: 1 day, 2:16:30, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0775e-01 fft_latent_x2_opt: 4.2645e-01 l1_latent_x4_opt: 7.9095e-01 fft_latent_x4_opt: 5.6390e-01 +2025-11-01 03:40:15,290 INFO: [28_co..][epoch: 3, step: 21,000, lr:(1.500e-04,)] [eta: 1 day, 2:14:37, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0181e-01 fft_latent_x2_opt: 4.2732e-01 l1_latent_x4_opt: 7.8647e-01 fft_latent_x4_opt: 5.6763e-01 +2025-11-01 03:41:41,681 INFO: [28_co..][epoch: 3, step: 21,100, lr:(1.500e-04,)] [eta: 1 day, 2:12:45, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0875e-01 fft_latent_x2_opt: 4.2961e-01 l1_latent_x4_opt: 7.9355e-01 fft_latent_x4_opt: 5.6744e-01 +2025-11-01 03:43:08,042 INFO: [28_co..][epoch: 3, step: 21,200, lr:(1.500e-04,)] [eta: 1 day, 2:10:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1081e-01 fft_latent_x2_opt: 4.3219e-01 l1_latent_x4_opt: 7.9506e-01 fft_latent_x4_opt: 5.7278e-01 +2025-11-01 03:44:34,437 INFO: [28_co..][epoch: 3, step: 21,300, lr:(1.500e-04,)] [eta: 1 day, 2:09:00, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0057e-01 fft_latent_x2_opt: 4.2495e-01 l1_latent_x4_opt: 7.8311e-01 fft_latent_x4_opt: 5.6061e-01 +2025-11-01 03:46:00,892 INFO: [28_co..][epoch: 3, step: 21,400, lr:(1.500e-04,)] [eta: 1 day, 2:07:08, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0541e-01 fft_latent_x2_opt: 4.3024e-01 l1_latent_x4_opt: 7.9011e-01 fft_latent_x4_opt: 5.7144e-01 +2025-11-01 03:47:27,322 INFO: [28_co..][epoch: 3, step: 21,500, lr:(1.500e-04,)] [eta: 1 day, 2:05:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0362e-01 fft_latent_x2_opt: 4.2804e-01 l1_latent_x4_opt: 7.8884e-01 fft_latent_x4_opt: 5.6782e-01 +2025-11-01 03:48:53,730 INFO: [28_co..][epoch: 3, step: 21,600, lr:(1.500e-04,)] [eta: 1 day, 2:03:25, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0711e-01 fft_latent_x2_opt: 4.3100e-01 l1_latent_x4_opt: 7.9270e-01 fft_latent_x4_opt: 5.7234e-01 +2025-11-01 03:50:20,170 INFO: [28_co..][epoch: 3, step: 21,700, lr:(1.500e-04,)] [eta: 1 day, 2:01:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0516e-01 fft_latent_x2_opt: 4.2778e-01 l1_latent_x4_opt: 7.8812e-01 fft_latent_x4_opt: 5.6843e-01 +2025-11-01 03:51:46,579 INFO: [28_co..][epoch: 3, step: 21,800, lr:(1.500e-04,)] [eta: 1 day, 1:59:43, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1050e-01 fft_latent_x2_opt: 4.3226e-01 l1_latent_x4_opt: 7.9702e-01 fft_latent_x4_opt: 5.7449e-01 +2025-11-01 03:53:18,626 INFO: [28_co..][epoch: 3, step: 21,900, lr:(1.500e-04,)] [eta: 1 day, 1:58:18, time (data): 0.893 (0.000)] l1_latent_x2_opt: 6.0967e-01 fft_latent_x2_opt: 4.3463e-01 l1_latent_x4_opt: 7.9455e-01 fft_latent_x4_opt: 5.7779e-01 +2025-11-01 03:54:45,043 INFO: [28_co..][epoch: 3, step: 22,000, lr:(1.500e-04,)] [eta: 1 day, 1:56:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1053e-01 fft_latent_x2_opt: 4.2973e-01 l1_latent_x4_opt: 7.9438e-01 fft_latent_x4_opt: 5.6782e-01 +2025-11-01 03:56:18,211 INFO: [28_co..][epoch: 3, step: 22,100, lr:(1.500e-04,)] [eta: 1 day, 1:55:09, time (data): 0.900 (0.000)] l1_latent_x2_opt: 6.0841e-01 fft_latent_x2_opt: 4.2919e-01 l1_latent_x4_opt: 7.9339e-01 fft_latent_x4_opt: 5.6832e-01 +2025-11-01 03:57:44,652 INFO: [28_co..][epoch: 3, step: 22,200, lr:(1.500e-04,)] [eta: 1 day, 1:53:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0603e-01 fft_latent_x2_opt: 4.2861e-01 l1_latent_x4_opt: 7.9077e-01 fft_latent_x4_opt: 5.6888e-01 +2025-11-01 03:59:11,077 INFO: [28_co..][epoch: 3, step: 22,300, lr:(1.500e-04,)] [eta: 1 day, 1:51:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0558e-01 fft_latent_x2_opt: 4.2896e-01 l1_latent_x4_opt: 7.8964e-01 fft_latent_x4_opt: 5.6788e-01 +2025-11-01 04:00:37,450 INFO: [28_co..][epoch: 3, step: 22,400, lr:(1.500e-04,)] [eta: 1 day, 1:49:38, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0726e-01 fft_latent_x2_opt: 4.3463e-01 l1_latent_x4_opt: 7.9145e-01 fft_latent_x4_opt: 5.7573e-01 +2025-11-01 04:02:12,222 INFO: [28_co..][epoch: 3, step: 22,500, lr:(1.500e-04,)] [eta: 1 day, 1:48:26, time (data): 0.908 (0.000)] l1_latent_x2_opt: 6.0584e-01 fft_latent_x2_opt: 4.3038e-01 l1_latent_x4_opt: 7.8964e-01 fft_latent_x4_opt: 5.7104e-01 +2025-11-01 04:03:38,653 INFO: [28_co..][epoch: 3, step: 22,600, lr:(1.500e-04,)] [eta: 1 day, 1:46:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1485e-01 fft_latent_x2_opt: 4.3165e-01 l1_latent_x4_opt: 8.0131e-01 fft_latent_x4_opt: 5.7125e-01 +2025-11-01 04:05:05,018 INFO: [28_co..][epoch: 3, step: 22,700, lr:(1.500e-04,)] [eta: 1 day, 1:44:47, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0734e-01 fft_latent_x2_opt: 4.2777e-01 l1_latent_x4_opt: 7.9172e-01 fft_latent_x4_opt: 5.6619e-01 +2025-11-01 04:06:31,403 INFO: [28_co..][epoch: 3, step: 22,800, lr:(1.500e-04,)] [eta: 1 day, 1:42:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0301e-01 fft_latent_x2_opt: 4.2797e-01 l1_latent_x4_opt: 7.8641e-01 fft_latent_x4_opt: 5.6596e-01 +2025-11-01 04:07:57,784 INFO: [28_co..][epoch: 3, step: 22,900, lr:(1.500e-04,)] [eta: 1 day, 1:41:08, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0638e-01 fft_latent_x2_opt: 4.2946e-01 l1_latent_x4_opt: 7.9034e-01 fft_latent_x4_opt: 5.6878e-01 +2025-11-01 04:09:24,119 INFO: [28_co..][epoch: 3, step: 23,000, lr:(1.500e-04,)] [eta: 1 day, 1:39:19, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0287e-01 fft_latent_x2_opt: 4.2960e-01 l1_latent_x4_opt: 7.8624e-01 fft_latent_x4_opt: 5.7170e-01 +2025-11-01 04:10:50,436 INFO: [28_co..][epoch: 3, step: 23,100, lr:(1.500e-04,)] [eta: 1 day, 1:37:29, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0366e-01 fft_latent_x2_opt: 4.2704e-01 l1_latent_x4_opt: 7.8852e-01 fft_latent_x4_opt: 5.6650e-01 +2025-11-01 04:12:16,784 INFO: [28_co..][epoch: 3, step: 23,200, lr:(1.500e-04,)] [eta: 1 day, 1:35:40, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0844e-01 fft_latent_x2_opt: 4.2861e-01 l1_latent_x4_opt: 7.9188e-01 fft_latent_x4_opt: 5.6675e-01 +2025-11-01 04:13:43,168 INFO: [28_co..][epoch: 3, step: 23,300, lr:(1.500e-04,)] [eta: 1 day, 1:33:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1489e-01 fft_latent_x2_opt: 4.3329e-01 l1_latent_x4_opt: 8.0074e-01 fft_latent_x4_opt: 5.7283e-01 +2025-11-01 04:15:09,549 INFO: [28_co..][epoch: 3, step: 23,400, lr:(1.500e-04,)] [eta: 1 day, 1:32:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1265e-01 fft_latent_x2_opt: 4.3081e-01 l1_latent_x4_opt: 7.9929e-01 fft_latent_x4_opt: 5.6952e-01 +2025-11-01 04:16:35,946 INFO: [28_co..][epoch: 3, step: 23,500, lr:(1.500e-04,)] [eta: 1 day, 1:30:15, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0628e-01 fft_latent_x2_opt: 4.2981e-01 l1_latent_x4_opt: 7.9230e-01 fft_latent_x4_opt: 5.6985e-01 +2025-11-01 04:18:02,353 INFO: [28_co..][epoch: 3, step: 23,600, lr:(1.500e-04,)] [eta: 1 day, 1:28:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0664e-01 fft_latent_x2_opt: 4.2940e-01 l1_latent_x4_opt: 7.9237e-01 fft_latent_x4_opt: 5.7011e-01 +2025-11-01 04:19:28,716 INFO: [28_co..][epoch: 3, step: 23,700, lr:(1.500e-04,)] [eta: 1 day, 1:26:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0896e-01 fft_latent_x2_opt: 4.3142e-01 l1_latent_x4_opt: 7.9375e-01 fft_latent_x4_opt: 5.7244e-01 +2025-11-01 04:20:55,101 INFO: [28_co..][epoch: 3, step: 23,800, lr:(1.500e-04,)] [eta: 1 day, 1:24:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0607e-01 fft_latent_x2_opt: 4.3128e-01 l1_latent_x4_opt: 7.9219e-01 fft_latent_x4_opt: 5.7223e-01 +2025-11-01 04:22:21,463 INFO: [28_co..][epoch: 3, step: 23,900, lr:(1.500e-04,)] [eta: 1 day, 1:23:05, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0686e-01 fft_latent_x2_opt: 4.2991e-01 l1_latent_x4_opt: 7.9249e-01 fft_latent_x4_opt: 5.7034e-01 +2025-11-01 04:23:47,815 INFO: [28_co..][epoch: 3, step: 24,000, lr:(1.500e-04,)] [eta: 1 day, 1:21:17, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0035e-01 fft_latent_x2_opt: 4.2720e-01 l1_latent_x4_opt: 7.8382e-01 fft_latent_x4_opt: 5.6695e-01 +2025-11-01 04:25:14,181 INFO: [28_co..][epoch: 3, step: 24,100, lr:(1.500e-04,)] [eta: 1 day, 1:19:30, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0678e-01 fft_latent_x2_opt: 4.3001e-01 l1_latent_x4_opt: 7.9338e-01 fft_latent_x4_opt: 5.7208e-01 +2025-11-01 04:26:40,618 INFO: [28_co..][epoch: 3, step: 24,200, lr:(1.500e-04,)] [eta: 1 day, 1:17:43, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0496e-01 fft_latent_x2_opt: 4.2646e-01 l1_latent_x4_opt: 7.8846e-01 fft_latent_x4_opt: 5.6182e-01 +2025-11-01 04:28:07,103 INFO: [28_co..][epoch: 3, step: 24,300, lr:(1.500e-04,)] [eta: 1 day, 1:15:57, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0288e-01 fft_latent_x2_opt: 4.2931e-01 l1_latent_x4_opt: 7.8659e-01 fft_latent_x4_opt: 5.6846e-01 +2025-11-01 04:29:33,494 INFO: [28_co..][epoch: 3, step: 24,400, lr:(1.500e-04,)] [eta: 1 day, 1:14:10, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0212e-01 fft_latent_x2_opt: 4.2677e-01 l1_latent_x4_opt: 7.8681e-01 fft_latent_x4_opt: 5.6602e-01 +2025-11-01 04:30:59,906 INFO: [28_co..][epoch: 3, step: 24,500, lr:(1.500e-04,)] [eta: 1 day, 1:12:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0940e-01 fft_latent_x2_opt: 4.2989e-01 l1_latent_x4_opt: 7.9376e-01 fft_latent_x4_opt: 5.6821e-01 +2025-11-01 04:32:26,271 INFO: [28_co..][epoch: 3, step: 24,600, lr:(1.500e-04,)] [eta: 1 day, 1:10:38, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0950e-01 fft_latent_x2_opt: 4.3046e-01 l1_latent_x4_opt: 7.9597e-01 fft_latent_x4_opt: 5.7079e-01 +2025-11-01 04:33:52,626 INFO: [28_co..][epoch: 3, step: 24,700, lr:(1.500e-04,)] [eta: 1 day, 1:08:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0495e-01 fft_latent_x2_opt: 4.2879e-01 l1_latent_x4_opt: 7.9090e-01 fft_latent_x4_opt: 5.6915e-01 +2025-11-01 04:35:18,988 INFO: [28_co..][epoch: 3, step: 24,800, lr:(1.500e-04,)] [eta: 1 day, 1:07:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0726e-01 fft_latent_x2_opt: 4.3081e-01 l1_latent_x4_opt: 7.9153e-01 fft_latent_x4_opt: 5.7082e-01 +2025-11-01 04:36:45,361 INFO: [28_co..][epoch: 3, step: 24,900, lr:(1.500e-04,)] [eta: 1 day, 1:05:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1267e-01 fft_latent_x2_opt: 4.3227e-01 l1_latent_x4_opt: 8.0011e-01 fft_latent_x4_opt: 5.7424e-01 +2025-11-01 04:38:11,731 INFO: [28_co..][epoch: 3, step: 25,000, lr:(1.500e-04,)] [eta: 1 day, 1:03:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0732e-01 fft_latent_x2_opt: 4.2964e-01 l1_latent_x4_opt: 7.9354e-01 fft_latent_x4_opt: 5.6953e-01 +2025-11-01 04:38:11,732 INFO: Saving models and training states. +2025-11-01 04:39:26,580 INFO: Validation val_x2 + # l1_latent: 0.7031 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.5015 Best: 26.5015 @ 25000 iter + +2025-11-01 04:41:56,241 INFO: Validation val_x4 + # l1_latent: 0.8828 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2747 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 26.1481 Best: 26.1481 @ 25000 iter + +2025-11-01 04:43:22,630 INFO: [28_co..][epoch: 3, step: 25,100, lr:(1.500e-04,)] [eta: 1 day, 1:16:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0892e-01 fft_latent_x2_opt: 4.2988e-01 l1_latent_x4_opt: 7.9434e-01 fft_latent_x4_opt: 5.6927e-01 +2025-11-01 04:44:48,993 INFO: [28_co..][epoch: 3, step: 25,200, lr:(1.500e-04,)] [eta: 1 day, 1:14:52, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0916e-01 fft_latent_x2_opt: 4.3319e-01 l1_latent_x4_opt: 7.9354e-01 fft_latent_x4_opt: 5.7313e-01 +2025-11-01 04:46:15,383 INFO: [28_co..][epoch: 3, step: 25,300, lr:(1.500e-04,)] [eta: 1 day, 1:13:03, time (data): 0.864 (0.001)] l1_latent_x2_opt: 6.0827e-01 fft_latent_x2_opt: 4.2836e-01 l1_latent_x4_opt: 7.9332e-01 fft_latent_x4_opt: 5.6677e-01 +2025-11-01 04:47:47,856 INFO: [28_co..][epoch: 4, step: 25,400, lr:(1.500e-04,)] [eta: 1 day, 1:11:37, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0542e-01 fft_latent_x2_opt: 4.3174e-01 l1_latent_x4_opt: 7.9183e-01 fft_latent_x4_opt: 5.7309e-01 +2025-11-01 04:49:14,195 INFO: [28_co..][epoch: 4, step: 25,500, lr:(1.500e-04,)] [eta: 1 day, 1:09:48, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0270e-01 fft_latent_x2_opt: 4.2898e-01 l1_latent_x4_opt: 7.8649e-01 fft_latent_x4_opt: 5.6887e-01 +2025-11-01 04:50:40,568 INFO: [28_co..][epoch: 4, step: 25,600, lr:(1.500e-04,)] [eta: 1 day, 1:07:59, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0014e-01 fft_latent_x2_opt: 4.2711e-01 l1_latent_x4_opt: 7.8370e-01 fft_latent_x4_opt: 5.6667e-01 +2025-11-01 04:52:06,958 INFO: [28_co..][epoch: 4, step: 25,700, lr:(1.500e-04,)] [eta: 1 day, 1:06:10, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0846e-01 fft_latent_x2_opt: 4.3307e-01 l1_latent_x4_opt: 7.9427e-01 fft_latent_x4_opt: 5.7358e-01 +2025-11-01 04:53:33,307 INFO: [28_co..][epoch: 4, step: 25,800, lr:(1.500e-04,)] [eta: 1 day, 1:04:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9843e-01 fft_latent_x2_opt: 4.2684e-01 l1_latent_x4_opt: 7.8310e-01 fft_latent_x4_opt: 5.6509e-01 +2025-11-01 04:54:59,709 INFO: [28_co..][epoch: 4, step: 25,900, lr:(1.500e-04,)] [eta: 1 day, 1:02:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0538e-01 fft_latent_x2_opt: 4.3031e-01 l1_latent_x4_opt: 7.9040e-01 fft_latent_x4_opt: 5.7174e-01 +2025-11-01 04:56:26,107 INFO: [28_co..][epoch: 4, step: 26,000, lr:(1.500e-04,)] [eta: 1 day, 1:00:44, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0653e-01 fft_latent_x2_opt: 4.2966e-01 l1_latent_x4_opt: 7.9140e-01 fft_latent_x4_opt: 5.7024e-01 +2025-11-01 04:57:52,727 INFO: [28_co..][epoch: 4, step: 26,100, lr:(1.500e-04,)] [eta: 1 day, 0:58:56, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0013e-01 fft_latent_x2_opt: 4.2763e-01 l1_latent_x4_opt: 7.8389e-01 fft_latent_x4_opt: 5.6584e-01 +2025-11-01 04:59:19,083 INFO: [28_co..][epoch: 4, step: 26,200, lr:(1.500e-04,)] [eta: 1 day, 0:57:08, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0797e-01 fft_latent_x2_opt: 4.2611e-01 l1_latent_x4_opt: 7.9266e-01 fft_latent_x4_opt: 5.6550e-01 +2025-11-01 05:00:45,455 INFO: [28_co..][epoch: 4, step: 26,300, lr:(1.500e-04,)] [eta: 1 day, 0:55:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0692e-01 fft_latent_x2_opt: 4.3217e-01 l1_latent_x4_opt: 7.9134e-01 fft_latent_x4_opt: 5.7039e-01 +2025-11-01 05:02:11,841 INFO: [28_co..][epoch: 4, step: 26,400, lr:(1.500e-04,)] [eta: 1 day, 0:53:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0242e-01 fft_latent_x2_opt: 4.2672e-01 l1_latent_x4_opt: 7.8655e-01 fft_latent_x4_opt: 5.6494e-01 +2025-11-01 05:03:38,222 INFO: [28_co..][epoch: 4, step: 26,500, lr:(1.500e-04,)] [eta: 1 day, 0:51:45, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0274e-01 fft_latent_x2_opt: 4.2715e-01 l1_latent_x4_opt: 7.8539e-01 fft_latent_x4_opt: 5.6635e-01 +2025-11-01 05:05:04,562 INFO: [28_co..][epoch: 4, step: 26,600, lr:(1.500e-04,)] [eta: 1 day, 0:49:57, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0413e-01 fft_latent_x2_opt: 4.2823e-01 l1_latent_x4_opt: 7.8854e-01 fft_latent_x4_opt: 5.6819e-01 +2025-11-01 05:06:30,908 INFO: [28_co..][epoch: 4, step: 26,700, lr:(1.500e-04,)] [eta: 1 day, 0:48:10, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0123e-01 fft_latent_x2_opt: 4.2729e-01 l1_latent_x4_opt: 7.8615e-01 fft_latent_x4_opt: 5.6777e-01 +2025-11-01 05:07:57,255 INFO: [28_co..][epoch: 4, step: 26,800, lr:(1.500e-04,)] [eta: 1 day, 0:46:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0810e-01 fft_latent_x2_opt: 4.2837e-01 l1_latent_x4_opt: 7.9464e-01 fft_latent_x4_opt: 5.6832e-01 +2025-11-01 05:09:23,601 INFO: [28_co..][epoch: 4, step: 26,900, lr:(1.500e-04,)] [eta: 1 day, 0:44:35, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0792e-01 fft_latent_x2_opt: 4.3043e-01 l1_latent_x4_opt: 7.9325e-01 fft_latent_x4_opt: 5.7085e-01 +2025-11-01 05:10:49,964 INFO: [28_co..][epoch: 4, step: 27,000, lr:(1.500e-04,)] [eta: 1 day, 0:42:48, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1120e-01 fft_latent_x2_opt: 4.3286e-01 l1_latent_x4_opt: 7.9675e-01 fft_latent_x4_opt: 5.7370e-01 +2025-11-01 05:12:16,318 INFO: [28_co..][epoch: 4, step: 27,100, lr:(1.500e-04,)] [eta: 1 day, 0:41:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0378e-01 fft_latent_x2_opt: 4.2800e-01 l1_latent_x4_opt: 7.8881e-01 fft_latent_x4_opt: 5.6589e-01 +2025-11-01 05:13:42,661 INFO: [28_co..][epoch: 4, step: 27,200, lr:(1.500e-04,)] [eta: 1 day, 0:39:15, time (data): 0.863 (0.000)] l1_latent_x2_opt: 5.9903e-01 fft_latent_x2_opt: 4.2635e-01 l1_latent_x4_opt: 7.8163e-01 fft_latent_x4_opt: 5.6372e-01 +2025-11-01 05:15:09,015 INFO: [28_co..][epoch: 4, step: 27,300, lr:(1.500e-04,)] [eta: 1 day, 0:37:28, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0382e-01 fft_latent_x2_opt: 4.2790e-01 l1_latent_x4_opt: 7.8671e-01 fft_latent_x4_opt: 5.6671e-01 +2025-11-01 05:16:35,431 INFO: [28_co..][epoch: 4, step: 27,400, lr:(1.500e-04,)] [eta: 1 day, 0:35:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0593e-01 fft_latent_x2_opt: 4.2762e-01 l1_latent_x4_opt: 7.9119e-01 fft_latent_x4_opt: 5.6636e-01 +2025-11-01 05:18:01,809 INFO: [28_co..][epoch: 4, step: 27,500, lr:(1.500e-04,)] [eta: 1 day, 0:33:56, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0414e-01 fft_latent_x2_opt: 4.3054e-01 l1_latent_x4_opt: 7.8863e-01 fft_latent_x4_opt: 5.7265e-01 +2025-11-01 05:19:28,129 INFO: [28_co..][epoch: 4, step: 27,600, lr:(1.500e-04,)] [eta: 1 day, 0:32:10, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0051e-01 fft_latent_x2_opt: 4.2576e-01 l1_latent_x4_opt: 7.8539e-01 fft_latent_x4_opt: 5.6518e-01 +2025-11-01 05:20:54,433 INFO: [28_co..][epoch: 4, step: 27,700, lr:(1.500e-04,)] [eta: 1 day, 0:30:24, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0507e-01 fft_latent_x2_opt: 4.3023e-01 l1_latent_x4_opt: 7.8895e-01 fft_latent_x4_opt: 5.6888e-01 +2025-11-01 05:22:20,774 INFO: [28_co..][epoch: 4, step: 27,800, lr:(1.500e-04,)] [eta: 1 day, 0:28:38, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0639e-01 fft_latent_x2_opt: 4.3162e-01 l1_latent_x4_opt: 7.9060e-01 fft_latent_x4_opt: 5.7033e-01 +2025-11-01 05:23:47,123 INFO: [28_co..][epoch: 4, step: 27,900, lr:(1.500e-04,)] [eta: 1 day, 0:26:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0355e-01 fft_latent_x2_opt: 4.2792e-01 l1_latent_x4_opt: 7.8947e-01 fft_latent_x4_opt: 5.6810e-01 +2025-11-01 05:25:13,448 INFO: [28_co..][epoch: 4, step: 28,000, lr:(1.500e-04,)] [eta: 1 day, 0:25:07, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0684e-01 fft_latent_x2_opt: 4.2861e-01 l1_latent_x4_opt: 7.9335e-01 fft_latent_x4_opt: 5.6994e-01 +2025-11-01 05:26:39,818 INFO: [28_co..][epoch: 4, step: 28,100, lr:(1.500e-04,)] [eta: 1 day, 0:23:22, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0164e-01 fft_latent_x2_opt: 4.2783e-01 l1_latent_x4_opt: 7.8632e-01 fft_latent_x4_opt: 5.6684e-01 +2025-11-01 05:28:06,129 INFO: [28_co..][epoch: 4, step: 28,200, lr:(1.500e-04,)] [eta: 1 day, 0:21:36, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0414e-01 fft_latent_x2_opt: 4.2941e-01 l1_latent_x4_opt: 7.8783e-01 fft_latent_x4_opt: 5.6812e-01 +2025-11-01 05:29:32,474 INFO: [28_co..][epoch: 4, step: 28,300, lr:(1.500e-04,)] [eta: 1 day, 0:19:51, time (data): 0.863 (0.000)] l1_latent_x2_opt: 5.9963e-01 fft_latent_x2_opt: 4.2489e-01 l1_latent_x4_opt: 7.8378e-01 fft_latent_x4_opt: 5.6295e-01 +2025-11-01 05:30:58,879 INFO: [28_co..][epoch: 4, step: 28,400, lr:(1.500e-04,)] [eta: 1 day, 0:18:06, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0804e-01 fft_latent_x2_opt: 4.3198e-01 l1_latent_x4_opt: 7.9484e-01 fft_latent_x4_opt: 5.7503e-01 +2025-11-01 05:32:25,317 INFO: [28_co..][epoch: 4, step: 28,500, lr:(1.500e-04,)] [eta: 1 day, 0:16:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0592e-01 fft_latent_x2_opt: 4.2935e-01 l1_latent_x4_opt: 7.9324e-01 fft_latent_x4_opt: 5.6936e-01 +2025-11-01 05:33:51,673 INFO: [28_co..][epoch: 4, step: 28,600, lr:(1.500e-04,)] [eta: 1 day, 0:14:37, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0364e-01 fft_latent_x2_opt: 4.2821e-01 l1_latent_x4_opt: 7.8764e-01 fft_latent_x4_opt: 5.6732e-01 +2025-11-01 05:35:18,005 INFO: [28_co..][epoch: 4, step: 28,700, lr:(1.500e-04,)] [eta: 1 day, 0:12:52, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.1250e-01 fft_latent_x2_opt: 4.2751e-01 l1_latent_x4_opt: 7.9976e-01 fft_latent_x4_opt: 5.6700e-01 +2025-11-01 05:36:44,409 INFO: [28_co..][epoch: 4, step: 28,800, lr:(1.500e-04,)] [eta: 1 day, 0:11:08, time (data): 0.864 (0.001)] l1_latent_x2_opt: 5.9695e-01 fft_latent_x2_opt: 4.2735e-01 l1_latent_x4_opt: 7.7847e-01 fft_latent_x4_opt: 5.6510e-01 +2025-11-01 05:38:10,852 INFO: [28_co..][epoch: 4, step: 28,900, lr:(1.500e-04,)] [eta: 1 day, 0:09:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0370e-01 fft_latent_x2_opt: 4.2926e-01 l1_latent_x4_opt: 7.8831e-01 fft_latent_x4_opt: 5.6948e-01 +2025-11-01 05:39:37,236 INFO: [28_co..][epoch: 4, step: 29,000, lr:(1.500e-04,)] [eta: 1 day, 0:07:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9897e-01 fft_latent_x2_opt: 4.2731e-01 l1_latent_x4_opt: 7.8268e-01 fft_latent_x4_opt: 5.6566e-01 +2025-11-01 05:41:03,772 INFO: [28_co..][epoch: 4, step: 29,100, lr:(1.500e-04,)] [eta: 1 day, 0:05:57, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0144e-01 fft_latent_x2_opt: 4.2895e-01 l1_latent_x4_opt: 7.8566e-01 fft_latent_x4_opt: 5.6882e-01 +2025-11-01 05:42:30,171 INFO: [28_co..][epoch: 4, step: 29,200, lr:(1.500e-04,)] [eta: 1 day, 0:04:13, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0442e-01 fft_latent_x2_opt: 4.2895e-01 l1_latent_x4_opt: 7.8802e-01 fft_latent_x4_opt: 5.6826e-01 +2025-11-01 05:43:56,594 INFO: [28_co..][epoch: 4, step: 29,300, lr:(1.500e-04,)] [eta: 1 day, 0:02:29, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0234e-01 fft_latent_x2_opt: 4.2839e-01 l1_latent_x4_opt: 7.8694e-01 fft_latent_x4_opt: 5.6741e-01 +2025-11-01 05:45:22,970 INFO: [28_co..][epoch: 4, step: 29,400, lr:(1.500e-04,)] [eta: 1 day, 0:00:45, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0757e-01 fft_latent_x2_opt: 4.2740e-01 l1_latent_x4_opt: 7.9330e-01 fft_latent_x4_opt: 5.6651e-01 +2025-11-01 05:46:49,359 INFO: [28_co..][epoch: 4, step: 29,500, lr:(1.500e-04,)] [eta: 23:59:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0803e-01 fft_latent_x2_opt: 4.2928e-01 l1_latent_x4_opt: 7.9217e-01 fft_latent_x4_opt: 5.6691e-01 +2025-11-01 05:48:15,734 INFO: [28_co..][epoch: 4, step: 29,600, lr:(1.500e-04,)] [eta: 23:57:19, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0671e-01 fft_latent_x2_opt: 4.3259e-01 l1_latent_x4_opt: 7.9398e-01 fft_latent_x4_opt: 5.7470e-01 +2025-11-01 05:49:42,165 INFO: [28_co..][epoch: 4, step: 29,700, lr:(1.500e-04,)] [eta: 23:55:35, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0913e-01 fft_latent_x2_opt: 4.3085e-01 l1_latent_x4_opt: 7.9718e-01 fft_latent_x4_opt: 5.7200e-01 +2025-11-01 05:51:08,678 INFO: [28_co..][epoch: 4, step: 29,800, lr:(1.500e-04,)] [eta: 23:53:53, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0291e-01 fft_latent_x2_opt: 4.2738e-01 l1_latent_x4_opt: 7.8653e-01 fft_latent_x4_opt: 5.6544e-01 +2025-11-01 05:52:35,098 INFO: [28_co..][epoch: 4, step: 29,900, lr:(1.500e-04,)] [eta: 23:52:10, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0655e-01 fft_latent_x2_opt: 4.3040e-01 l1_latent_x4_opt: 7.9426e-01 fft_latent_x4_opt: 5.7115e-01 +2025-11-01 05:54:01,539 INFO: [28_co..][epoch: 4, step: 30,000, lr:(1.500e-04,)] [eta: 23:50:27, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0617e-01 fft_latent_x2_opt: 4.2969e-01 l1_latent_x4_opt: 7.9242e-01 fft_latent_x4_opt: 5.6977e-01 +2025-11-01 05:54:01,540 INFO: Saving models and training states. +2025-11-01 05:55:25,120 INFO: Validation val_x2 + # l1_latent: 0.7014 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.5221 Best: 26.5221 @ 30000 iter + +2025-11-01 05:57:46,871 INFO: Validation val_x4 + # l1_latent: 0.8811 Best: 0.8860 @ 5000 iter + # l2_latent: 1.2705 Best: 1.2855 @ 5000 iter + # pixel_psnr_pt: 26.1928 Best: 26.1928 @ 30000 iter + +2025-11-01 05:59:13,183 INFO: [28_co..][epoch: 4, step: 30,100, lr:(1.500e-04,)] [eta: 1 day, 0:00:34, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0135e-01 fft_latent_x2_opt: 4.2816e-01 l1_latent_x4_opt: 7.8502e-01 fft_latent_x4_opt: 5.6805e-01 +2025-11-01 06:00:39,597 INFO: [28_co..][epoch: 4, step: 30,200, lr:(1.500e-04,)] [eta: 23:58:49, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9899e-01 fft_latent_x2_opt: 4.2643e-01 l1_latent_x4_opt: 7.8136e-01 fft_latent_x4_opt: 5.6422e-01 +2025-11-01 06:02:06,009 INFO: [28_co..][epoch: 4, step: 30,300, lr:(1.500e-04,)] [eta: 23:57:03, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0816e-01 fft_latent_x2_opt: 4.2889e-01 l1_latent_x4_opt: 7.9436e-01 fft_latent_x4_opt: 5.6850e-01 +2025-11-01 06:03:32,411 INFO: [28_co..][epoch: 4, step: 30,400, lr:(1.500e-04,)] [eta: 23:55:17, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0204e-01 fft_latent_x2_opt: 4.2933e-01 l1_latent_x4_opt: 7.8562e-01 fft_latent_x4_opt: 5.6928e-01 +2025-11-01 06:04:58,779 INFO: [28_co..][epoch: 4, step: 30,500, lr:(1.500e-04,)] [eta: 23:53:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0359e-01 fft_latent_x2_opt: 4.2772e-01 l1_latent_x4_opt: 7.8840e-01 fft_latent_x4_opt: 5.6733e-01 +2025-11-01 06:06:25,278 INFO: [28_co..][epoch: 4, step: 30,600, lr:(1.500e-04,)] [eta: 23:51:47, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0526e-01 fft_latent_x2_opt: 4.3006e-01 l1_latent_x4_opt: 7.9115e-01 fft_latent_x4_opt: 5.7031e-01 +2025-11-01 06:07:51,624 INFO: [28_co..][epoch: 4, step: 30,700, lr:(1.500e-04,)] [eta: 23:50:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0425e-01 fft_latent_x2_opt: 4.2811e-01 l1_latent_x4_opt: 7.8949e-01 fft_latent_x4_opt: 5.6733e-01 +2025-11-01 06:09:17,954 INFO: [28_co..][epoch: 4, step: 30,800, lr:(1.500e-04,)] [eta: 23:48:16, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0561e-01 fft_latent_x2_opt: 4.2569e-01 l1_latent_x4_opt: 7.8949e-01 fft_latent_x4_opt: 5.6495e-01 +2025-11-01 06:10:44,270 INFO: [28_co..][epoch: 4, step: 30,900, lr:(1.500e-04,)] [eta: 23:46:31, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0608e-01 fft_latent_x2_opt: 4.3243e-01 l1_latent_x4_opt: 7.9278e-01 fft_latent_x4_opt: 5.7437e-01 +2025-11-01 06:12:10,613 INFO: [28_co..][epoch: 4, step: 31,000, lr:(1.500e-04,)] [eta: 23:44:46, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0481e-01 fft_latent_x2_opt: 4.2919e-01 l1_latent_x4_opt: 7.8981e-01 fft_latent_x4_opt: 5.6892e-01 +2025-11-01 06:13:37,005 INFO: [28_co..][epoch: 4, step: 31,100, lr:(1.500e-04,)] [eta: 23:43:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0612e-01 fft_latent_x2_opt: 4.2610e-01 l1_latent_x4_opt: 7.9196e-01 fft_latent_x4_opt: 5.6426e-01 +2025-11-01 06:15:03,528 INFO: [28_co..][epoch: 4, step: 31,200, lr:(1.500e-04,)] [eta: 23:41:17, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0077e-01 fft_latent_x2_opt: 4.2872e-01 l1_latent_x4_opt: 7.8480e-01 fft_latent_x4_opt: 5.6700e-01 +2025-11-01 06:16:30,066 INFO: [28_co..][epoch: 4, step: 31,300, lr:(1.500e-04,)] [eta: 23:39:33, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0304e-01 fft_latent_x2_opt: 4.2704e-01 l1_latent_x4_opt: 7.8824e-01 fft_latent_x4_opt: 5.6662e-01 +2025-11-01 06:17:56,585 INFO: [28_co..][epoch: 4, step: 31,400, lr:(1.500e-04,)] [eta: 23:37:49, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9783e-01 fft_latent_x2_opt: 4.2569e-01 l1_latent_x4_opt: 7.8207e-01 fft_latent_x4_opt: 5.6497e-01 +2025-11-01 06:19:23,083 INFO: [28_co..][epoch: 4, step: 31,500, lr:(1.500e-04,)] [eta: 23:36:06, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0401e-01 fft_latent_x2_opt: 4.2628e-01 l1_latent_x4_opt: 7.8966e-01 fft_latent_x4_opt: 5.6057e-01 +2025-11-01 06:20:50,321 INFO: [28_co..][epoch: 4, step: 31,600, lr:(1.500e-04,)] [eta: 23:34:24, time (data): 0.880 (0.007)] l1_latent_x2_opt: 6.0437e-01 fft_latent_x2_opt: 4.1705e-01 l1_latent_x4_opt: 7.9249e-01 fft_latent_x4_opt: 4.8549e-01 +2025-11-01 06:22:23,438 INFO: [28_co..][epoch: 5, step: 31,700, lr:(1.500e-04,)] [eta: 23:33:00, time (data): 0.916 (0.040)] l1_latent_x2_opt: 5.9898e-01 fft_latent_x2_opt: 4.2026e-01 l1_latent_x4_opt: 7.8621e-01 fft_latent_x4_opt: 4.7865e-01 +2025-11-01 06:23:49,959 INFO: [28_co..][epoch: 5, step: 31,800, lr:(1.500e-04,)] [eta: 23:31:16, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0222e-01 fft_latent_x2_opt: 4.1836e-01 l1_latent_x4_opt: 7.9034e-01 fft_latent_x4_opt: 4.8194e-01 +2025-11-01 06:25:16,489 INFO: [28_co..][epoch: 5, step: 31,900, lr:(1.500e-04,)] [eta: 23:29:33, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0461e-01 fft_latent_x2_opt: 4.1920e-01 l1_latent_x4_opt: 7.9312e-01 fft_latent_x4_opt: 4.8161e-01 +2025-11-01 06:26:43,000 INFO: [28_co..][epoch: 5, step: 32,000, lr:(1.500e-04,)] [eta: 23:27:49, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0653e-01 fft_latent_x2_opt: 4.1693e-01 l1_latent_x4_opt: 7.9307e-01 fft_latent_x4_opt: 4.7826e-01 +2025-11-01 06:28:09,492 INFO: [28_co..][epoch: 5, step: 32,100, lr:(1.500e-04,)] [eta: 23:26:06, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0640e-01 fft_latent_x2_opt: 4.1931e-01 l1_latent_x4_opt: 7.9521e-01 fft_latent_x4_opt: 4.8084e-01 +2025-11-01 06:29:36,056 INFO: [28_co..][epoch: 5, step: 32,200, lr:(1.500e-04,)] [eta: 23:24:23, time (data): 0.866 (0.000)] l1_latent_x2_opt: 5.9863e-01 fft_latent_x2_opt: 4.1517e-01 l1_latent_x4_opt: 7.8637e-01 fft_latent_x4_opt: 4.7714e-01 +2025-11-01 06:31:02,527 INFO: [28_co..][epoch: 5, step: 32,300, lr:(1.500e-04,)] [eta: 23:22:39, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9974e-01 fft_latent_x2_opt: 4.1734e-01 l1_latent_x4_opt: 7.8721e-01 fft_latent_x4_opt: 4.8178e-01 +2025-11-01 06:32:29,069 INFO: [28_co..][epoch: 5, step: 32,400, lr:(1.500e-04,)] [eta: 23:20:57, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.1201e-01 fft_latent_x2_opt: 4.1987e-01 l1_latent_x4_opt: 8.0130e-01 fft_latent_x4_opt: 4.8326e-01 +2025-11-01 06:33:55,598 INFO: [28_co..][epoch: 5, step: 32,500, lr:(1.500e-04,)] [eta: 23:19:14, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0963e-01 fft_latent_x2_opt: 4.1888e-01 l1_latent_x4_opt: 7.9826e-01 fft_latent_x4_opt: 4.8222e-01 +2025-11-01 06:35:22,123 INFO: [28_co..][epoch: 5, step: 32,600, lr:(1.500e-04,)] [eta: 23:17:31, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0252e-01 fft_latent_x2_opt: 4.1752e-01 l1_latent_x4_opt: 7.9208e-01 fft_latent_x4_opt: 4.7864e-01 +2025-11-01 06:36:48,624 INFO: [28_co..][epoch: 5, step: 32,700, lr:(1.500e-04,)] [eta: 23:15:48, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9873e-01 fft_latent_x2_opt: 4.1414e-01 l1_latent_x4_opt: 7.8710e-01 fft_latent_x4_opt: 4.7777e-01 +2025-11-01 06:38:15,202 INFO: [28_co..][epoch: 5, step: 32,800, lr:(1.500e-04,)] [eta: 23:14:06, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0328e-01 fft_latent_x2_opt: 4.1764e-01 l1_latent_x4_opt: 7.8972e-01 fft_latent_x4_opt: 4.7770e-01 +2025-11-01 06:39:41,733 INFO: [28_co..][epoch: 5, step: 32,900, lr:(1.500e-04,)] [eta: 23:12:23, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0260e-01 fft_latent_x2_opt: 4.1939e-01 l1_latent_x4_opt: 7.9074e-01 fft_latent_x4_opt: 4.7959e-01 +2025-11-01 06:41:08,287 INFO: [28_co..][epoch: 5, step: 33,000, lr:(1.500e-04,)] [eta: 23:10:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0586e-01 fft_latent_x2_opt: 4.1810e-01 l1_latent_x4_opt: 7.9500e-01 fft_latent_x4_opt: 4.7908e-01 +2025-11-01 06:42:34,695 INFO: [28_co..][epoch: 5, step: 33,100, lr:(1.500e-04,)] [eta: 23:08:58, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0796e-01 fft_latent_x2_opt: 4.1789e-01 l1_latent_x4_opt: 7.9683e-01 fft_latent_x4_opt: 4.8005e-01 +2025-11-01 06:44:01,250 INFO: [28_co..][epoch: 5, step: 33,200, lr:(1.500e-04,)] [eta: 23:07:16, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0792e-01 fft_latent_x2_opt: 4.1885e-01 l1_latent_x4_opt: 7.9883e-01 fft_latent_x4_opt: 4.8648e-01 +2025-11-01 06:45:27,757 INFO: [28_co..][epoch: 5, step: 33,300, lr:(1.500e-04,)] [eta: 23:05:34, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0543e-01 fft_latent_x2_opt: 4.1917e-01 l1_latent_x4_opt: 7.9397e-01 fft_latent_x4_opt: 4.8051e-01 +2025-11-01 06:46:54,140 INFO: [28_co..][epoch: 5, step: 33,400, lr:(1.500e-04,)] [eta: 23:03:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0748e-01 fft_latent_x2_opt: 4.1876e-01 l1_latent_x4_opt: 7.9678e-01 fft_latent_x4_opt: 4.7946e-01 +2025-11-01 06:48:20,590 INFO: [28_co..][epoch: 5, step: 33,500, lr:(1.500e-04,)] [eta: 23:02:10, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0317e-01 fft_latent_x2_opt: 4.1961e-01 l1_latent_x4_opt: 7.8986e-01 fft_latent_x4_opt: 4.7856e-01 +2025-11-01 06:49:46,995 INFO: [28_co..][epoch: 5, step: 33,600, lr:(1.500e-04,)] [eta: 23:00:28, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0400e-01 fft_latent_x2_opt: 4.1886e-01 l1_latent_x4_opt: 7.9264e-01 fft_latent_x4_opt: 4.7900e-01 +2025-11-01 06:51:13,350 INFO: [28_co..][epoch: 5, step: 33,700, lr:(1.500e-04,)] [eta: 22:58:45, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0758e-01 fft_latent_x2_opt: 4.2054e-01 l1_latent_x4_opt: 7.9841e-01 fft_latent_x4_opt: 4.8457e-01 +2025-11-01 06:52:39,805 INFO: [28_co..][epoch: 5, step: 33,800, lr:(1.500e-04,)] [eta: 22:57:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0144e-01 fft_latent_x2_opt: 4.1601e-01 l1_latent_x4_opt: 7.9011e-01 fft_latent_x4_opt: 4.7720e-01 +2025-11-01 06:54:06,198 INFO: [28_co..][epoch: 5, step: 33,900, lr:(1.500e-04,)] [eta: 22:55:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0436e-01 fft_latent_x2_opt: 4.2045e-01 l1_latent_x4_opt: 7.9198e-01 fft_latent_x4_opt: 4.7809e-01 +2025-11-01 06:55:40,757 INFO: [28_co..][epoch: 5, step: 34,000, lr:(1.500e-04,)] [eta: 22:54:02, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0397e-01 fft_latent_x2_opt: 4.1657e-01 l1_latent_x4_opt: 7.9285e-01 fft_latent_x4_opt: 4.7975e-01 +2025-11-01 06:57:07,115 INFO: [28_co..][epoch: 5, step: 34,100, lr:(1.500e-04,)] [eta: 22:52:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0627e-01 fft_latent_x2_opt: 4.1766e-01 l1_latent_x4_opt: 7.9642e-01 fft_latent_x4_opt: 4.8154e-01 +2025-11-01 06:58:33,493 INFO: [28_co..][epoch: 5, step: 34,200, lr:(1.500e-04,)] [eta: 22:50:38, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0285e-01 fft_latent_x2_opt: 4.1756e-01 l1_latent_x4_opt: 7.9146e-01 fft_latent_x4_opt: 4.8018e-01 +2025-11-01 06:59:59,849 INFO: [28_co..][epoch: 5, step: 34,300, lr:(1.500e-04,)] [eta: 22:48:56, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0560e-01 fft_latent_x2_opt: 4.1969e-01 l1_latent_x4_opt: 7.9573e-01 fft_latent_x4_opt: 4.7806e-01 +2025-11-01 07:01:26,218 INFO: [28_co..][epoch: 5, step: 34,400, lr:(1.500e-04,)] [eta: 22:47:15, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0012e-01 fft_latent_x2_opt: 4.1733e-01 l1_latent_x4_opt: 7.8851e-01 fft_latent_x4_opt: 4.7800e-01 +2025-11-01 07:02:52,646 INFO: [28_co..][epoch: 5, step: 34,500, lr:(1.500e-04,)] [eta: 22:45:33, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0114e-01 fft_latent_x2_opt: 4.1951e-01 l1_latent_x4_opt: 7.8988e-01 fft_latent_x4_opt: 4.8150e-01 +2025-11-01 07:04:19,041 INFO: [28_co..][epoch: 5, step: 34,600, lr:(1.500e-04,)] [eta: 22:43:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0351e-01 fft_latent_x2_opt: 4.1727e-01 l1_latent_x4_opt: 7.9297e-01 fft_latent_x4_opt: 4.8172e-01 +2025-11-01 07:05:45,408 INFO: [28_co..][epoch: 5, step: 34,700, lr:(1.500e-04,)] [eta: 22:42:11, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0403e-01 fft_latent_x2_opt: 4.1751e-01 l1_latent_x4_opt: 7.9304e-01 fft_latent_x4_opt: 4.7738e-01 +2025-11-01 07:07:11,788 INFO: [28_co..][epoch: 5, step: 34,800, lr:(1.500e-04,)] [eta: 22:40:29, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0676e-01 fft_latent_x2_opt: 4.1915e-01 l1_latent_x4_opt: 7.9795e-01 fft_latent_x4_opt: 4.8367e-01 +2025-11-01 07:08:38,180 INFO: [28_co..][epoch: 5, step: 34,900, lr:(1.500e-04,)] [eta: 22:38:48, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0238e-01 fft_latent_x2_opt: 4.1786e-01 l1_latent_x4_opt: 7.9183e-01 fft_latent_x4_opt: 4.8087e-01 +2025-11-01 07:10:04,655 INFO: [28_co..][epoch: 5, step: 35,000, lr:(1.500e-04,)] [eta: 22:37:08, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0134e-01 fft_latent_x2_opt: 4.1762e-01 l1_latent_x4_opt: 7.8946e-01 fft_latent_x4_opt: 4.8003e-01 +2025-11-01 07:10:04,656 INFO: Saving models and training states. +2025-11-01 07:11:18,778 INFO: Validation val_x2 + # l1_latent: 0.7027 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.5021 Best: 26.5221 @ 30000 iter + +2025-11-01 07:13:49,265 INFO: Validation val_x4 + # l1_latent: 0.8818 Best: 0.8860 @ 5000 iter + # l2_latent: 1.3735 Best: 1.3735 @ 35000 iter + # pixel_psnr_pt: 26.4260 Best: 26.4260 @ 35000 iter + +2025-11-01 07:15:15,768 INFO: [28_co..][epoch: 5, step: 35,100, lr:(1.500e-04,)] [eta: 22:45:02, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0535e-01 fft_latent_x2_opt: 4.1733e-01 l1_latent_x4_opt: 7.9316e-01 fft_latent_x4_opt: 4.8029e-01 +2025-11-01 07:16:42,360 INFO: [28_co..][epoch: 5, step: 35,200, lr:(1.500e-04,)] [eta: 22:43:20, time (data): 0.867 (0.000)] l1_latent_x2_opt: 6.0417e-01 fft_latent_x2_opt: 4.1887e-01 l1_latent_x4_opt: 7.9282e-01 fft_latent_x4_opt: 4.7965e-01 +2025-11-01 07:18:08,951 INFO: [28_co..][epoch: 5, step: 35,300, lr:(1.500e-04,)] [eta: 22:41:37, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0188e-01 fft_latent_x2_opt: 4.1594e-01 l1_latent_x4_opt: 7.8987e-01 fft_latent_x4_opt: 4.7859e-01 +2025-11-01 07:19:35,458 INFO: [28_co..][epoch: 5, step: 35,400, lr:(1.500e-04,)] [eta: 22:39:54, time (data): 0.866 (0.000)] l1_latent_x2_opt: 6.0521e-01 fft_latent_x2_opt: 4.1884e-01 l1_latent_x4_opt: 7.9386e-01 fft_latent_x4_opt: 4.7926e-01 +2025-11-01 07:21:01,915 INFO: [28_co..][epoch: 5, step: 35,500, lr:(1.500e-04,)] [eta: 22:38:12, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0029e-01 fft_latent_x2_opt: 4.1383e-01 l1_latent_x4_opt: 7.8650e-01 fft_latent_x4_opt: 4.7854e-01 +2025-11-01 07:22:28,354 INFO: [28_co..][epoch: 5, step: 35,600, lr:(1.500e-04,)] [eta: 22:36:29, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0488e-01 fft_latent_x2_opt: 4.1640e-01 l1_latent_x4_opt: 7.9278e-01 fft_latent_x4_opt: 4.7804e-01 +2025-11-01 07:23:54,754 INFO: [28_co..][epoch: 5, step: 35,700, lr:(1.500e-04,)] [eta: 22:34:46, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0582e-01 fft_latent_x2_opt: 4.1935e-01 l1_latent_x4_opt: 7.9328e-01 fft_latent_x4_opt: 4.7947e-01 +2025-11-01 07:25:21,152 INFO: [28_co..][epoch: 5, step: 35,800, lr:(1.500e-04,)] [eta: 22:33:04, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9924e-01 fft_latent_x2_opt: 4.1609e-01 l1_latent_x4_opt: 7.8585e-01 fft_latent_x4_opt: 4.7783e-01 +2025-11-01 07:26:47,567 INFO: [28_co..][epoch: 5, step: 35,900, lr:(1.500e-04,)] [eta: 22:31:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0041e-01 fft_latent_x2_opt: 4.1550e-01 l1_latent_x4_opt: 7.8682e-01 fft_latent_x4_opt: 4.7686e-01 +2025-11-01 07:28:14,015 INFO: [28_co..][epoch: 5, step: 36,000, lr:(1.500e-04,)] [eta: 22:29:39, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0219e-01 fft_latent_x2_opt: 4.1540e-01 l1_latent_x4_opt: 7.9038e-01 fft_latent_x4_opt: 4.7854e-01 +2025-11-01 07:29:40,430 INFO: [28_co..][epoch: 5, step: 36,100, lr:(1.500e-04,)] [eta: 22:27:57, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0507e-01 fft_latent_x2_opt: 4.2027e-01 l1_latent_x4_opt: 7.9495e-01 fft_latent_x4_opt: 4.8273e-01 +2025-11-01 07:31:06,856 INFO: [28_co..][epoch: 5, step: 36,200, lr:(1.500e-04,)] [eta: 22:26:15, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0720e-01 fft_latent_x2_opt: 4.1870e-01 l1_latent_x4_opt: 7.9642e-01 fft_latent_x4_opt: 4.8213e-01 +2025-11-01 07:32:33,214 INFO: [28_co..][epoch: 5, step: 36,300, lr:(1.500e-04,)] [eta: 22:24:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0049e-01 fft_latent_x2_opt: 4.1656e-01 l1_latent_x4_opt: 7.8871e-01 fft_latent_x4_opt: 4.7739e-01 +2025-11-01 07:33:59,644 INFO: [28_co..][epoch: 5, step: 36,400, lr:(1.500e-04,)] [eta: 22:22:51, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0101e-01 fft_latent_x2_opt: 4.1851e-01 l1_latent_x4_opt: 7.8916e-01 fft_latent_x4_opt: 4.8073e-01 +2025-11-01 07:35:26,037 INFO: [28_co..][epoch: 5, step: 36,500, lr:(1.500e-04,)] [eta: 22:21:09, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.1076e-01 fft_latent_x2_opt: 4.2067e-01 l1_latent_x4_opt: 8.0124e-01 fft_latent_x4_opt: 4.7938e-01 +2025-11-01 07:36:52,478 INFO: [28_co..][epoch: 5, step: 36,600, lr:(1.500e-04,)] [eta: 22:19:27, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0378e-01 fft_latent_x2_opt: 4.2016e-01 l1_latent_x4_opt: 7.9415e-01 fft_latent_x4_opt: 4.8235e-01 +2025-11-01 07:38:18,860 INFO: [28_co..][epoch: 5, step: 36,700, lr:(1.500e-04,)] [eta: 22:17:45, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0495e-01 fft_latent_x2_opt: 4.1935e-01 l1_latent_x4_opt: 7.9454e-01 fft_latent_x4_opt: 4.8139e-01 +2025-11-01 07:39:45,270 INFO: [28_co..][epoch: 5, step: 36,800, lr:(1.500e-04,)] [eta: 22:16:03, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0104e-01 fft_latent_x2_opt: 4.1567e-01 l1_latent_x4_opt: 7.8870e-01 fft_latent_x4_opt: 4.7748e-01 +2025-11-01 07:41:11,642 INFO: [28_co..][epoch: 5, step: 36,900, lr:(1.500e-04,)] [eta: 22:14:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0178e-01 fft_latent_x2_opt: 4.1815e-01 l1_latent_x4_opt: 7.9052e-01 fft_latent_x4_opt: 4.8042e-01 +2025-11-01 07:42:38,164 INFO: [28_co..][epoch: 5, step: 37,000, lr:(1.500e-04,)] [eta: 22:12:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0677e-01 fft_latent_x2_opt: 4.2170e-01 l1_latent_x4_opt: 7.9666e-01 fft_latent_x4_opt: 4.8001e-01 +2025-11-01 07:44:04,556 INFO: [28_co..][epoch: 5, step: 37,100, lr:(1.500e-04,)] [eta: 22:10:59, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0470e-01 fft_latent_x2_opt: 4.1825e-01 l1_latent_x4_opt: 7.9452e-01 fft_latent_x4_opt: 4.7997e-01 +2025-11-01 07:45:30,964 INFO: [28_co..][epoch: 5, step: 37,200, lr:(1.500e-04,)] [eta: 22:09:18, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0113e-01 fft_latent_x2_opt: 4.1652e-01 l1_latent_x4_opt: 7.8961e-01 fft_latent_x4_opt: 4.7956e-01 +2025-11-01 07:46:57,348 INFO: [28_co..][epoch: 5, step: 37,300, lr:(1.500e-04,)] [eta: 22:07:36, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0341e-01 fft_latent_x2_opt: 4.1870e-01 l1_latent_x4_opt: 7.9263e-01 fft_latent_x4_opt: 4.8188e-01 +2025-11-01 07:48:23,729 INFO: [28_co..][epoch: 5, step: 37,400, lr:(1.500e-04,)] [eta: 22:05:55, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0165e-01 fft_latent_x2_opt: 4.1781e-01 l1_latent_x4_opt: 7.8890e-01 fft_latent_x4_opt: 4.7870e-01 +2025-11-01 07:49:50,137 INFO: [28_co..][epoch: 5, step: 37,500, lr:(1.500e-04,)] [eta: 22:04:14, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0333e-01 fft_latent_x2_opt: 4.1860e-01 l1_latent_x4_opt: 7.9212e-01 fft_latent_x4_opt: 4.8081e-01 +2025-11-01 07:51:16,551 INFO: [28_co..][epoch: 5, step: 37,600, lr:(1.500e-04,)] [eta: 22:02:33, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0316e-01 fft_latent_x2_opt: 4.1872e-01 l1_latent_x4_opt: 7.9196e-01 fft_latent_x4_opt: 4.8027e-01 +2025-11-01 07:52:42,907 INFO: [28_co..][epoch: 5, step: 37,700, lr:(1.500e-04,)] [eta: 22:00:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9963e-01 fft_latent_x2_opt: 4.1850e-01 l1_latent_x4_opt: 7.8830e-01 fft_latent_x4_opt: 4.7926e-01 +2025-11-01 07:54:09,307 INFO: [28_co..][epoch: 5, step: 37,800, lr:(1.500e-04,)] [eta: 21:59:11, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0596e-01 fft_latent_x2_opt: 4.1795e-01 l1_latent_x4_opt: 7.9696e-01 fft_latent_x4_opt: 4.8015e-01 +2025-11-01 07:55:35,759 INFO: [28_co..][epoch: 5, step: 37,900, lr:(1.500e-04,)] [eta: 21:57:30, time (data): 0.864 (0.001)] l1_latent_x2_opt: 6.0096e-01 fft_latent_x2_opt: 4.1527e-01 l1_latent_x4_opt: 7.8668e-01 fft_latent_x4_opt: 4.7925e-01 +2025-11-01 07:57:08,719 INFO: [28_co..][epoch: 6, step: 38,000, lr:(1.500e-04,)] [eta: 21:56:05, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0393e-01 fft_latent_x2_opt: 4.1914e-01 l1_latent_x4_opt: 7.9416e-01 fft_latent_x4_opt: 4.8300e-01 +2025-11-01 07:58:35,161 INFO: [28_co..][epoch: 6, step: 38,100, lr:(1.500e-04,)] [eta: 21:54:24, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9990e-01 fft_latent_x2_opt: 4.1620e-01 l1_latent_x4_opt: 7.8775e-01 fft_latent_x4_opt: 4.7874e-01 +2025-11-01 08:00:01,562 INFO: [28_co..][epoch: 6, step: 38,200, lr:(1.500e-04,)] [eta: 21:52:43, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9734e-01 fft_latent_x2_opt: 4.1624e-01 l1_latent_x4_opt: 7.8652e-01 fft_latent_x4_opt: 4.7634e-01 +2025-11-01 08:01:27,976 INFO: [28_co..][epoch: 6, step: 38,300, lr:(1.500e-04,)] [eta: 21:51:03, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0038e-01 fft_latent_x2_opt: 4.1794e-01 l1_latent_x4_opt: 7.8832e-01 fft_latent_x4_opt: 4.8006e-01 +2025-11-01 08:02:54,367 INFO: [28_co..][epoch: 6, step: 38,400, lr:(1.500e-04,)] [eta: 21:49:22, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9742e-01 fft_latent_x2_opt: 4.1630e-01 l1_latent_x4_opt: 7.8569e-01 fft_latent_x4_opt: 4.7730e-01 +2025-11-01 08:04:20,759 INFO: [28_co..][epoch: 6, step: 38,500, lr:(1.500e-04,)] [eta: 21:47:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9715e-01 fft_latent_x2_opt: 4.1382e-01 l1_latent_x4_opt: 7.8405e-01 fft_latent_x4_opt: 4.7739e-01 +2025-11-01 08:05:47,109 INFO: [28_co..][epoch: 6, step: 38,600, lr:(1.500e-04,)] [eta: 21:46:01, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0727e-01 fft_latent_x2_opt: 4.1676e-01 l1_latent_x4_opt: 7.9633e-01 fft_latent_x4_opt: 4.8025e-01 +2025-11-01 08:07:13,469 INFO: [28_co..][epoch: 6, step: 38,700, lr:(1.500e-04,)] [eta: 21:44:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9818e-01 fft_latent_x2_opt: 4.1493e-01 l1_latent_x4_opt: 7.8624e-01 fft_latent_x4_opt: 4.7943e-01 +2025-11-01 08:08:39,862 INFO: [28_co..][epoch: 6, step: 38,800, lr:(1.500e-04,)] [eta: 21:42:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0220e-01 fft_latent_x2_opt: 4.1870e-01 l1_latent_x4_opt: 7.9122e-01 fft_latent_x4_opt: 4.8053e-01 +2025-11-01 08:10:06,272 INFO: [28_co..][epoch: 6, step: 38,900, lr:(1.500e-04,)] [eta: 21:41:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0292e-01 fft_latent_x2_opt: 4.1529e-01 l1_latent_x4_opt: 7.9094e-01 fft_latent_x4_opt: 4.7940e-01 +2025-11-01 08:11:32,637 INFO: [28_co..][epoch: 6, step: 39,000, lr:(1.500e-04,)] [eta: 21:39:20, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0228e-01 fft_latent_x2_opt: 4.1858e-01 l1_latent_x4_opt: 7.9258e-01 fft_latent_x4_opt: 4.8201e-01 +2025-11-01 08:12:59,005 INFO: [28_co..][epoch: 6, step: 39,100, lr:(1.500e-04,)] [eta: 21:37:40, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9720e-01 fft_latent_x2_opt: 4.1565e-01 l1_latent_x4_opt: 7.8613e-01 fft_latent_x4_opt: 4.7574e-01 +2025-11-01 08:14:25,399 INFO: [28_co..][epoch: 6, step: 39,200, lr:(1.500e-04,)] [eta: 21:36:00, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9971e-01 fft_latent_x2_opt: 4.1628e-01 l1_latent_x4_opt: 7.8873e-01 fft_latent_x4_opt: 4.8021e-01 +2025-11-01 08:15:51,785 INFO: [28_co..][epoch: 6, step: 39,300, lr:(1.500e-04,)] [eta: 21:34:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0477e-01 fft_latent_x2_opt: 4.2108e-01 l1_latent_x4_opt: 7.9344e-01 fft_latent_x4_opt: 4.8112e-01 +2025-11-01 08:17:18,174 INFO: [28_co..][epoch: 6, step: 39,400, lr:(1.500e-04,)] [eta: 21:32:41, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9795e-01 fft_latent_x2_opt: 4.1526e-01 l1_latent_x4_opt: 7.8607e-01 fft_latent_x4_opt: 4.7853e-01 +2025-11-01 08:18:44,556 INFO: [28_co..][epoch: 6, step: 39,500, lr:(1.500e-04,)] [eta: 21:31:01, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0020e-01 fft_latent_x2_opt: 4.1666e-01 l1_latent_x4_opt: 7.9008e-01 fft_latent_x4_opt: 4.8102e-01 +2025-11-01 08:20:10,962 INFO: [28_co..][epoch: 6, step: 39,600, lr:(1.500e-04,)] [eta: 21:29:21, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9853e-01 fft_latent_x2_opt: 4.1589e-01 l1_latent_x4_opt: 7.8640e-01 fft_latent_x4_opt: 4.7652e-01 +2025-11-01 08:21:37,363 INFO: [28_co..][epoch: 6, step: 39,700, lr:(1.500e-04,)] [eta: 21:27:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9751e-01 fft_latent_x2_opt: 4.1520e-01 l1_latent_x4_opt: 7.8581e-01 fft_latent_x4_opt: 4.7557e-01 +2025-11-01 08:23:03,818 INFO: [28_co..][epoch: 6, step: 39,800, lr:(1.500e-04,)] [eta: 21:26:02, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0297e-01 fft_latent_x2_opt: 4.1546e-01 l1_latent_x4_opt: 7.9117e-01 fft_latent_x4_opt: 4.8042e-01 +2025-11-01 08:24:30,235 INFO: [28_co..][epoch: 6, step: 39,900, lr:(1.500e-04,)] [eta: 21:24:23, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0413e-01 fft_latent_x2_opt: 4.1880e-01 l1_latent_x4_opt: 7.9336e-01 fft_latent_x4_opt: 4.8089e-01 +2025-11-01 08:25:56,668 INFO: [28_co..][epoch: 6, step: 40,000, lr:(1.500e-04,)] [eta: 21:22:44, time (data): 0.865 (0.000)] l1_latent_x2_opt: 5.9938e-01 fft_latent_x2_opt: 4.1526e-01 l1_latent_x4_opt: 7.8809e-01 fft_latent_x4_opt: 4.7752e-01 +2025-11-01 08:25:56,669 INFO: Saving models and training states. +2025-11-01 08:27:19,901 INFO: Validation val_x2 + # l1_latent: 0.7022 Best: 0.7055 @ 15000 iter + # pixel_psnr_pt: 26.4987 Best: 26.5221 @ 30000 iter + +2025-11-01 08:29:40,784 INFO: Validation val_x4 + # l1_latent: 0.8814 Best: 0.8860 @ 5000 iter + # l2_latent: 1.3805 Best: 1.3805 @ 40000 iter + # pixel_psnr_pt: 26.4232 Best: 26.4260 @ 35000 iter + +2025-11-01 08:31:07,123 INFO: [28_co..][epoch: 6, step: 40,100, lr:(1.500e-04,)] [eta: 21:28:59, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0343e-01 fft_latent_x2_opt: 4.1528e-01 l1_latent_x4_opt: 7.9123e-01 fft_latent_x4_opt: 4.8002e-01 +2025-11-01 08:32:33,565 INFO: [28_co..][epoch: 6, step: 40,200, lr:(1.500e-04,)] [eta: 21:27:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9927e-01 fft_latent_x2_opt: 4.1735e-01 l1_latent_x4_opt: 7.8738e-01 fft_latent_x4_opt: 4.7741e-01 +2025-11-01 08:34:00,007 INFO: [28_co..][epoch: 6, step: 40,300, lr:(1.500e-04,)] [eta: 21:25:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9926e-01 fft_latent_x2_opt: 4.1712e-01 l1_latent_x4_opt: 7.8752e-01 fft_latent_x4_opt: 4.7930e-01 +2025-11-01 08:35:26,398 INFO: [28_co..][epoch: 6, step: 40,400, lr:(1.500e-04,)] [eta: 21:23:56, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0159e-01 fft_latent_x2_opt: 4.1714e-01 l1_latent_x4_opt: 7.9023e-01 fft_latent_x4_opt: 4.7925e-01 +2025-11-01 08:36:52,810 INFO: [28_co..][epoch: 6, step: 40,500, lr:(1.500e-04,)] [eta: 21:22:15, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9860e-01 fft_latent_x2_opt: 4.1512e-01 l1_latent_x4_opt: 7.8554e-01 fft_latent_x4_opt: 4.7886e-01 +2025-11-01 08:38:19,225 INFO: [28_co..][epoch: 6, step: 40,600, lr:(1.500e-04,)] [eta: 21:20:35, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0750e-01 fft_latent_x2_opt: 4.1926e-01 l1_latent_x4_opt: 7.9709e-01 fft_latent_x4_opt: 4.8016e-01 +2025-11-01 08:39:45,625 INFO: [28_co..][epoch: 6, step: 40,700, lr:(1.500e-04,)] [eta: 21:18:54, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0220e-01 fft_latent_x2_opt: 4.1951e-01 l1_latent_x4_opt: 7.9175e-01 fft_latent_x4_opt: 4.7764e-01 +2025-11-01 08:41:11,979 INFO: [28_co..][epoch: 6, step: 40,800, lr:(1.500e-04,)] [eta: 21:17:13, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0082e-01 fft_latent_x2_opt: 4.1618e-01 l1_latent_x4_opt: 7.8917e-01 fft_latent_x4_opt: 4.7983e-01 +2025-11-01 08:42:38,397 INFO: [28_co..][epoch: 6, step: 40,900, lr:(1.500e-04,)] [eta: 21:15:33, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0649e-01 fft_latent_x2_opt: 4.1809e-01 l1_latent_x4_opt: 7.9419e-01 fft_latent_x4_opt: 4.7968e-01 +2025-11-01 08:44:04,756 INFO: [28_co..][epoch: 6, step: 41,000, lr:(1.500e-04,)] [eta: 21:13:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0237e-01 fft_latent_x2_opt: 4.1916e-01 l1_latent_x4_opt: 7.9220e-01 fft_latent_x4_opt: 4.8123e-01 +2025-11-01 08:45:31,133 INFO: [28_co..][epoch: 6, step: 41,100, lr:(1.500e-04,)] [eta: 21:12:12, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0222e-01 fft_latent_x2_opt: 4.1830e-01 l1_latent_x4_opt: 7.9119e-01 fft_latent_x4_opt: 4.7951e-01 +2025-11-01 08:46:57,519 INFO: [28_co..][epoch: 6, step: 41,200, lr:(1.500e-04,)] [eta: 21:10:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0689e-01 fft_latent_x2_opt: 4.1822e-01 l1_latent_x4_opt: 7.9551e-01 fft_latent_x4_opt: 4.7906e-01 +2025-11-01 08:48:23,945 INFO: [28_co..][epoch: 6, step: 41,300, lr:(1.500e-04,)] [eta: 21:08:51, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0239e-01 fft_latent_x2_opt: 4.1939e-01 l1_latent_x4_opt: 7.9199e-01 fft_latent_x4_opt: 4.8028e-01 +2025-11-01 08:49:50,326 INFO: [28_co..][epoch: 6, step: 41,400, lr:(1.500e-04,)] [eta: 21:07:11, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9515e-01 fft_latent_x2_opt: 4.1510e-01 l1_latent_x4_opt: 7.8231e-01 fft_latent_x4_opt: 4.7778e-01 +2025-11-01 08:51:16,691 INFO: [28_co..][epoch: 6, step: 41,500, lr:(1.500e-04,)] [eta: 21:05:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9878e-01 fft_latent_x2_opt: 4.1688e-01 l1_latent_x4_opt: 7.8626e-01 fft_latent_x4_opt: 4.7876e-01 +2025-11-01 08:52:43,076 INFO: [28_co..][epoch: 6, step: 41,600, lr:(1.500e-04,)] [eta: 21:03:51, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0051e-01 fft_latent_x2_opt: 4.1570e-01 l1_latent_x4_opt: 7.8908e-01 fft_latent_x4_opt: 4.7675e-01 +2025-11-01 08:54:09,421 INFO: [28_co..][epoch: 6, step: 41,700, lr:(1.500e-04,)] [eta: 21:02:11, time (data): 0.863 (0.000)] l1_latent_x2_opt: 5.9782e-01 fft_latent_x2_opt: 4.1612e-01 l1_latent_x4_opt: 7.8644e-01 fft_latent_x4_opt: 4.7958e-01 +2025-11-01 08:55:35,813 INFO: [28_co..][epoch: 6, step: 41,800, lr:(1.500e-04,)] [eta: 21:00:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0060e-01 fft_latent_x2_opt: 4.1678e-01 l1_latent_x4_opt: 7.9039e-01 fft_latent_x4_opt: 4.7887e-01 +2025-11-01 08:57:02,138 INFO: [28_co..][epoch: 6, step: 41,900, lr:(1.500e-04,)] [eta: 20:58:51, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0128e-01 fft_latent_x2_opt: 4.1813e-01 l1_latent_x4_opt: 7.9157e-01 fft_latent_x4_opt: 4.8156e-01 +2025-11-01 08:58:28,510 INFO: [28_co..][epoch: 6, step: 42,000, lr:(1.500e-04,)] [eta: 20:57:11, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0622e-01 fft_latent_x2_opt: 4.2185e-01 l1_latent_x4_opt: 7.9808e-01 fft_latent_x4_opt: 4.8313e-01 +2025-11-01 08:59:54,898 INFO: [28_co..][epoch: 6, step: 42,100, lr:(1.500e-04,)] [eta: 20:55:31, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9707e-01 fft_latent_x2_opt: 4.1563e-01 l1_latent_x4_opt: 7.8534e-01 fft_latent_x4_opt: 4.7847e-01 +2025-11-01 09:01:21,247 INFO: [28_co..][epoch: 6, step: 42,200, lr:(1.500e-04,)] [eta: 20:53:52, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0097e-01 fft_latent_x2_opt: 4.1546e-01 l1_latent_x4_opt: 7.9086e-01 fft_latent_x4_opt: 4.7748e-01 +2025-11-01 09:02:47,614 INFO: [28_co..][epoch: 6, step: 42,300, lr:(1.500e-04,)] [eta: 20:52:12, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0363e-01 fft_latent_x2_opt: 4.1694e-01 l1_latent_x4_opt: 7.9419e-01 fft_latent_x4_opt: 4.8056e-01 +2025-11-01 09:04:13,978 INFO: [28_co..][epoch: 6, step: 42,400, lr:(1.500e-04,)] [eta: 20:50:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0111e-01 fft_latent_x2_opt: 4.1785e-01 l1_latent_x4_opt: 7.9016e-01 fft_latent_x4_opt: 4.8027e-01 +2025-11-01 09:05:40,375 INFO: [28_co..][epoch: 6, step: 42,500, lr:(1.500e-04,)] [eta: 20:48:53, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0155e-01 fft_latent_x2_opt: 4.1740e-01 l1_latent_x4_opt: 7.8982e-01 fft_latent_x4_opt: 4.7847e-01 +2025-11-01 09:07:06,778 INFO: [28_co..][epoch: 6, step: 42,600, lr:(1.500e-04,)] [eta: 20:47:13, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0143e-01 fft_latent_x2_opt: 4.1651e-01 l1_latent_x4_opt: 7.9040e-01 fft_latent_x4_opt: 4.7844e-01 +2025-11-01 09:08:33,132 INFO: [28_co..][epoch: 6, step: 42,700, lr:(1.500e-04,)] [eta: 20:45:34, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0223e-01 fft_latent_x2_opt: 4.1831e-01 l1_latent_x4_opt: 7.9126e-01 fft_latent_x4_opt: 4.8089e-01 +2025-11-01 09:09:59,442 INFO: [28_co..][epoch: 6, step: 42,800, lr:(1.500e-04,)] [eta: 20:43:55, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0075e-01 fft_latent_x2_opt: 4.1694e-01 l1_latent_x4_opt: 7.8865e-01 fft_latent_x4_opt: 4.7738e-01 +2025-11-01 09:11:25,767 INFO: [28_co..][epoch: 6, step: 42,900, lr:(1.500e-04,)] [eta: 20:42:15, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0474e-01 fft_latent_x2_opt: 4.1894e-01 l1_latent_x4_opt: 7.9321e-01 fft_latent_x4_opt: 4.8128e-01 +2025-11-01 09:12:52,086 INFO: [28_co..][epoch: 6, step: 43,000, lr:(1.500e-04,)] [eta: 20:40:36, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0523e-01 fft_latent_x2_opt: 4.1750e-01 l1_latent_x4_opt: 7.9515e-01 fft_latent_x4_opt: 4.8067e-01 +2025-11-01 09:14:18,419 INFO: [28_co..][epoch: 6, step: 43,100, lr:(1.500e-04,)] [eta: 20:38:57, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.0008e-01 fft_latent_x2_opt: 4.1697e-01 l1_latent_x4_opt: 7.9098e-01 fft_latent_x4_opt: 4.7833e-01 +2025-11-01 09:15:44,822 INFO: [28_co..][epoch: 6, step: 43,200, lr:(1.500e-04,)] [eta: 20:37:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0321e-01 fft_latent_x2_opt: 4.1731e-01 l1_latent_x4_opt: 7.9025e-01 fft_latent_x4_opt: 4.7855e-01 +2025-11-01 09:17:11,254 INFO: [28_co..][epoch: 6, step: 43,300, lr:(1.500e-04,)] [eta: 20:35:39, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0748e-01 fft_latent_x2_opt: 4.2037e-01 l1_latent_x4_opt: 8.0057e-01 fft_latent_x4_opt: 4.8241e-01 +2025-11-01 09:18:37,674 INFO: [28_co..][epoch: 6, step: 43,400, lr:(1.500e-04,)] [eta: 20:34:00, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0239e-01 fft_latent_x2_opt: 4.1712e-01 l1_latent_x4_opt: 7.9259e-01 fft_latent_x4_opt: 4.7789e-01 +2025-11-01 09:20:04,082 INFO: [28_co..][epoch: 6, step: 43,500, lr:(1.500e-04,)] [eta: 20:32:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9892e-01 fft_latent_x2_opt: 4.1554e-01 l1_latent_x4_opt: 7.8868e-01 fft_latent_x4_opt: 4.7715e-01 +2025-11-01 09:21:30,517 INFO: [28_co..][epoch: 6, step: 43,600, lr:(1.500e-04,)] [eta: 20:30:42, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0154e-01 fft_latent_x2_opt: 4.1988e-01 l1_latent_x4_opt: 7.9207e-01 fft_latent_x4_opt: 4.7903e-01 +2025-11-01 09:22:56,971 INFO: [28_co..][epoch: 6, step: 43,700, lr:(1.500e-04,)] [eta: 20:29:04, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9620e-01 fft_latent_x2_opt: 4.1658e-01 l1_latent_x4_opt: 7.8460e-01 fft_latent_x4_opt: 4.7648e-01 +2025-11-01 09:24:29,105 INFO: [28_co..][epoch: 6, step: 43,800, lr:(1.500e-04,)] [eta: 20:27:36, time (data): 0.896 (0.000)] l1_latent_x2_opt: 6.0446e-01 fft_latent_x2_opt: 4.1964e-01 l1_latent_x4_opt: 7.9403e-01 fft_latent_x4_opt: 4.8213e-01 +2025-11-01 09:25:55,561 INFO: [28_co..][epoch: 6, step: 43,900, lr:(1.500e-04,)] [eta: 20:25:57, time (data): 0.865 (0.000)] l1_latent_x2_opt: 6.0126e-01 fft_latent_x2_opt: 4.1551e-01 l1_latent_x4_opt: 7.8968e-01 fft_latent_x4_opt: 4.7621e-01 +2025-11-01 09:27:21,956 INFO: [28_co..][epoch: 6, step: 44,000, lr:(1.500e-04,)] [eta: 20:24:18, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0285e-01 fft_latent_x2_opt: 4.1700e-01 l1_latent_x4_opt: 7.9301e-01 fft_latent_x4_opt: 4.8095e-01 +2025-11-01 09:28:56,980 INFO: [28_co..][epoch: 6, step: 44,100, lr:(1.500e-04,)] [eta: 20:22:56, time (data): 0.970 (0.000)] l1_latent_x2_opt: 5.9808e-01 fft_latent_x2_opt: 4.1376e-01 l1_latent_x4_opt: 7.8474e-01 fft_latent_x4_opt: 4.7499e-01 +2025-11-01 09:30:23,367 INFO: [28_co..][epoch: 6, step: 44,200, lr:(1.500e-04,)] [eta: 20:21:17, time (data): 0.911 (0.000)] l1_latent_x2_opt: 5.9802e-01 fft_latent_x2_opt: 4.1859e-01 l1_latent_x4_opt: 7.8816e-01 fft_latent_x4_opt: 4.7975e-01 +2025-11-01 09:31:55,539 INFO: [28_co..][epoch: 7, step: 44,300, lr:(1.500e-04,)] [eta: 20:19:49, time (data): 0.935 (0.054)] l1_latent_x2_opt: 6.0038e-01 fft_latent_x2_opt: 4.1516e-01 l1_latent_x4_opt: 7.8945e-01 fft_latent_x4_opt: 4.7835e-01 +2025-11-01 09:33:22,001 INFO: [28_co..][epoch: 7, step: 44,400, lr:(1.500e-04,)] [eta: 20:18:11, time (data): 0.896 (0.024)] l1_latent_x2_opt: 6.0104e-01 fft_latent_x2_opt: 4.1662e-01 l1_latent_x4_opt: 7.8957e-01 fft_latent_x4_opt: 4.8019e-01 +2025-11-01 09:34:48,393 INFO: [28_co..][epoch: 7, step: 44,500, lr:(1.500e-04,)] [eta: 20:16:32, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9672e-01 fft_latent_x2_opt: 4.1460e-01 l1_latent_x4_opt: 7.8465e-01 fft_latent_x4_opt: 4.7859e-01 +2025-11-01 09:36:14,824 INFO: [28_co..][epoch: 7, step: 44,600, lr:(1.500e-04,)] [eta: 20:14:54, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0261e-01 fft_latent_x2_opt: 4.1765e-01 l1_latent_x4_opt: 7.9278e-01 fft_latent_x4_opt: 4.8020e-01 +2025-11-01 09:37:41,238 INFO: [28_co..][epoch: 7, step: 44,700, lr:(1.500e-04,)] [eta: 20:13:16, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9711e-01 fft_latent_x2_opt: 4.1577e-01 l1_latent_x4_opt: 7.8571e-01 fft_latent_x4_opt: 4.7903e-01 +2025-11-01 09:39:07,624 INFO: [28_co..][epoch: 7, step: 44,800, lr:(1.500e-04,)] [eta: 20:11:37, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.0340e-01 fft_latent_x2_opt: 4.1750e-01 l1_latent_x4_opt: 7.9295e-01 fft_latent_x4_opt: 4.7807e-01 +2025-11-01 09:40:34,054 INFO: [28_co..][epoch: 7, step: 44,900, lr:(1.500e-04,)] [eta: 20:09:59, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9980e-01 fft_latent_x2_opt: 4.1927e-01 l1_latent_x4_opt: 7.8879e-01 fft_latent_x4_opt: 4.7874e-01 +2025-11-01 09:42:00,418 INFO: [28_co..][epoch: 7, step: 45,000, lr:(1.500e-04,)] [eta: 20:08:21, time (data): 0.864 (0.000)] l1_latent_x2_opt: 5.9495e-01 fft_latent_x2_opt: 4.1525e-01 l1_latent_x4_opt: 7.8192e-01 fft_latent_x4_opt: 4.7834e-01 +2025-11-01 09:42:00,419 INFO: Saving models and training states. diff --git a/31_10_2025/28_continue_archived_20251031_213117/basicsr_options.yaml b/31_10_2025/28_continue_archived_20251031_213117/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..077fbfe6f640269b50444a3098f028cdf7c97370 --- /dev/null +++ b/31_10_2025/28_continue_archived_20251031_213117/basicsr_options.yaml @@ -0,0 +1,205 @@ +# GENERATE TIME: Fri Oct 31 21:24:46 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + fft_latent_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + fft_latent_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 28_continue +name: 28_continue +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/28_continue_archived_20251031_213117/train_28_continue_20251031_212446.log b/31_10_2025/28_continue_archived_20251031_213117/train_28_continue_20251031_212446.log new file mode 100644 index 0000000000000000000000000000000000000000..319607fee7ca2bdaaa08ecf5429beac8dbfdcd23 --- /dev/null +++ b/31_10_2025/28_continue_archived_20251031_213117/train_28_continue_20251031_212446.log @@ -0,0 +1,368 @@ +2025-10-31 21:24:46,015 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:24:46,015 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + ] + fft_latent_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + ] + fft_latent_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28_continue + name: 28_continue + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/visualization + ] + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:24:47,892 INFO: Use wandb logger with id=fxj7s9jx; project=Swin2SR-Latent-SR. +2025-10-31 21:24:59,954 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 21:24:59,956 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 3 + Steps per epoch: 6327 + Configured training steps: 125000 + Approximate epochs to cover: 20. +2025-10-31 21:24:59,959 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:24:59,959 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:25:00,390 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:25:01,915 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 21:25:01,916 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 21:25:01,917 INFO: Use EMA with decay: 0.999 +2025-10-31 21:25:02,282 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:25:02,345 INFO: Loss [L1Loss] is created. +2025-10-31 21:25:02,346 INFO: Initialized l1_latent_x2_opt in latent space (w=0.5). +2025-10-31 21:25:02,347 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:25:02,348 INFO: Initialized fft_latent_x2_opt in latent space (w=0.1). +2025-10-31 21:25:02,348 INFO: Loss [L1Loss] is created. +2025-10-31 21:25:02,349 INFO: Initialized l1_latent_x4_opt in latent space (w=0.5). +2025-10-31 21:25:02,349 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:25:02,350 INFO: Initialized fft_latent_x4_opt in latent space (w=0.1). +2025-10-31 21:25:02,353 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 21:25:02,353 INFO: Model [SwinIRLatentModelMultiHead] is created. diff --git a/31_10_2025/28_continue_archived_20251031_221059/basicsr_options.yaml b/31_10_2025/28_continue_archived_20251031_221059/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8a508844630dfcbbb16f7c5d3ffabbc2b3367531 --- /dev/null +++ b/31_10_2025/28_continue_archived_20251031_221059/basicsr_options.yaml @@ -0,0 +1,210 @@ +# GENERATE TIME: Fri Oct 31 21:31:17 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + fft_latent_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + fft_latent_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 28_continue +name: 28_continue diff --git a/31_10_2025/28_continue_archived_20251031_221059/train_28_continue_20251031_213117.log b/31_10_2025/28_continue_archived_20251031_221059/train_28_continue_20251031_213117.log new file mode 100644 index 0000000000000000000000000000000000000000..a8d44d4541afb428af577fd74cc2ad7d66541856 --- /dev/null +++ b/31_10_2025/28_continue_archived_20251031_221059/train_28_continue_20251031_213117.log @@ -0,0 +1,382 @@ +2025-10-31 21:31:17,233 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:31:17,234 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/28_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x2 + ] + fft_latent_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 0.5 + reduction: mean + space: latent + target: x4 + ] + fft_latent_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + ] + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 28_continue + name: 28_continue + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:31:19,143 INFO: Use wandb logger with id=jzmht1ox; project=Swin2SR-Latent-SR. +2025-10-31 21:31:32,281 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 21:31:32,282 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 3 + Steps per epoch: 6327 + Configured training steps: 125000 + Approximate epochs to cover: 20. +2025-10-31 21:31:32,285 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:31:32,285 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:31:32,717 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:31:34,159 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 21:31:34,160 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 21:31:36,080 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 21:31:36,124 INFO: Use EMA with decay: 0.999 +2025-10-31 21:31:36,469 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:31:36,787 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 21:31:36,837 INFO: Loss [L1Loss] is created. +2025-10-31 21:31:36,838 INFO: Initialized l1_latent_x2_opt in latent space (w=0.5). +2025-10-31 21:31:36,839 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:31:36,839 INFO: Initialized fft_latent_x2_opt in latent space (w=0.1). +2025-10-31 21:31:36,840 INFO: Loss [L1Loss] is created. +2025-10-31 21:31:36,841 INFO: Initialized l1_latent_x4_opt in latent space (w=0.5). +2025-10-31 21:31:36,842 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:31:36,843 INFO: Initialized fft_latent_x4_opt in latent space (w=0.1). +2025-10-31 21:31:36,845 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 21:31:36,845 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 21:42:01,803 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:43:47,777 INFO: [28_co..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 1 day, 5:22:59, time (data): 1.060 (0.124)] l1_latent_x2_opt: 6.2420e-01 fft_latent_x2_opt: 4.4526e-01 l1_latent_x4_opt: 8.1239e-01 fft_latent_x4_opt: 5.9710e-01 +2025-10-31 21:45:14,144 INFO: [28_co..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 1 day, 5:38:55, time (data): 0.962 (0.062)] l1_latent_x2_opt: 6.3241e-01 fft_latent_x2_opt: 4.4648e-01 l1_latent_x4_opt: 8.1897e-01 fft_latent_x4_opt: 5.9311e-01 +2025-10-31 21:46:40,534 INFO: [28_co..][epoch: 0, step: 300, lr:(1.500e-04,)] [eta: 1 day, 5:43:27, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2991e-01 fft_latent_x2_opt: 4.4367e-01 l1_latent_x4_opt: 8.1707e-01 fft_latent_x4_opt: 5.8926e-01 +2025-10-31 21:48:06,887 INFO: [28_co..][epoch: 0, step: 400, lr:(1.500e-04,)] [eta: 1 day, 5:44:49, time (data): 0.864 (0.000)] l1_latent_x2_opt: 6.2656e-01 fft_latent_x2_opt: 4.4653e-01 l1_latent_x4_opt: 8.1716e-01 fft_latent_x4_opt: 5.9790e-01 +2025-10-31 21:49:33,168 INFO: [28_co..][epoch: 0, step: 500, lr:(1.500e-04,)] [eta: 1 day, 5:44:46, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2295e-01 fft_latent_x2_opt: 4.4312e-01 l1_latent_x4_opt: 8.1110e-01 fft_latent_x4_opt: 5.9182e-01 +2025-10-31 21:50:59,532 INFO: [28_co..][epoch: 0, step: 600, lr:(1.500e-04,)] [eta: 1 day, 5:44:33, time (data): 0.863 (0.000)] l1_latent_x2_opt: 6.2537e-01 fft_latent_x2_opt: 4.4222e-01 l1_latent_x4_opt: 8.1357e-01 fft_latent_x4_opt: 5.8632e-01 diff --git a/31_10_2025/29/basicsr_options.yaml b/31_10_2025/29/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..38997c6bd3d7bde5a250f2d5addfe167e75ab271 --- /dev/null +++ b/31_10_2025/29/basicsr_options.yaml @@ -0,0 +1,228 @@ +# GENERATE TIME: Fri Oct 31 22:19:34 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 3 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + fft_pixel_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + fft_pixel_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' diff --git a/31_10_2025/29/train_29_20251031_221934.log b/31_10_2025/29/train_29_20251031_221934.log new file mode 100644 index 0000000000000000000000000000000000000000..e38fcf44aa351ca9b8a5192e0c7841acfbf54ebc --- /dev/null +++ b/31_10_2025/29/train_29_20251031_221934.log @@ -0,0 +1,1106 @@ +2025-10-31 22:19:34,173 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 22:19:34,173 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 3 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + fft_pixel_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + fft_pixel_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 22:19:35,992 INFO: Use wandb logger with id=upe9k4rq; project=Swin2SR-Latent-SR. +2025-10-31 22:19:49,155 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 22:19:49,157 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 3 + Steps per epoch: 202438 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 22:19:49,160 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 22:19:49,161 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 22:19:49,591 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:19:50,962 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 22:19:50,963 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 22:19:51,245 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 22:19:51,289 INFO: Use EMA with decay: 0.999 +2025-10-31 22:19:51,637 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:19:51,951 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 22:19:52,002 INFO: Loss [Eagle_Loss] is created. +2025-10-31 22:19:52,003 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-10-31 22:19:52,004 INFO: Loss [L1Loss] is created. +2025-10-31 22:19:52,005 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 22:19:52,005 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:19:52,006 INFO: Initialized fft_pixel_x2_opt in pixel space (w=0.1). +2025-10-31 22:19:52,007 INFO: Loss [Eagle_Loss] is created. +2025-10-31 22:19:52,008 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-10-31 22:19:52,009 INFO: Loss [L1Loss] is created. +2025-10-31 22:19:52,010 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 22:19:52,011 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:19:52,012 INFO: Initialized fft_pixel_x4_opt in pixel space (w=0.1). +2025-10-31 22:19:52,015 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 22:19:52,015 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 22:20:52,108 INFO: Start training from epoch: 0, step: 0 +2025-10-31 22:20:54,000 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 22:22:15,701 INFO: [29..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 22:37:32, time (data): 0.836 (0.015)] eagle_pixel_x2_opt: 8.0479e+00 l1_pixel_x2_opt: 5.8859e-02 fft_pixel_x2_opt: 4.9341e-02 eagle_pixel_x4_opt: 8.9095e+00 l1_pixel_x4_opt: 5.8873e-02 fft_pixel_x4_opt: 5.5809e-02 +2025-10-31 22:23:21,644 INFO: [29..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 22:43:58, time (data): 0.748 (0.007)] eagle_pixel_x2_opt: 6.1128e+00 l1_pixel_x2_opt: 5.9510e-02 fft_pixel_x2_opt: 4.2376e-02 eagle_pixel_x4_opt: 7.5307e+00 l1_pixel_x4_opt: 6.1223e-02 fft_pixel_x4_opt: 4.7149e-02 +2025-10-31 22:24:28,356 INFO: [29..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 22:50:43, time (data): 0.667 (0.000)] eagle_pixel_x2_opt: 6.4584e+00 l1_pixel_x2_opt: 6.0388e-02 fft_pixel_x2_opt: 4.4881e-02 eagle_pixel_x4_opt: 8.6187e+00 l1_pixel_x4_opt: 6.3092e-02 fft_pixel_x4_opt: 5.0293e-02 +2025-10-31 22:25:34,670 INFO: [29..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 22:51:29, time (data): 0.665 (0.000)] eagle_pixel_x2_opt: 4.8880e+00 l1_pixel_x2_opt: 5.5305e-02 fft_pixel_x2_opt: 3.8195e-02 eagle_pixel_x4_opt: 5.0758e+00 l1_pixel_x4_opt: 5.3699e-02 fft_pixel_x4_opt: 4.0915e-02 +2025-10-31 22:26:41,086 INFO: [29..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 22:51:56, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 6.5445e+00 l1_pixel_x2_opt: 6.3215e-02 fft_pixel_x2_opt: 4.5304e-02 eagle_pixel_x4_opt: 7.9748e+00 l1_pixel_x4_opt: 6.3199e-02 fft_pixel_x4_opt: 4.9743e-02 +2025-10-31 22:27:47,060 INFO: [29..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 22:50:20, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 7.7468e+00 l1_pixel_x2_opt: 6.7266e-02 fft_pixel_x2_opt: 5.0371e-02 eagle_pixel_x4_opt: 8.0888e+00 l1_pixel_x4_opt: 6.6632e-02 fft_pixel_x4_opt: 5.3311e-02 +2025-10-31 22:28:53,229 INFO: [29..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 22:49:27, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.8053e+00 l1_pixel_x2_opt: 5.6284e-02 fft_pixel_x2_opt: 4.2333e-02 eagle_pixel_x4_opt: 7.0515e+00 l1_pixel_x4_opt: 5.8801e-02 fft_pixel_x4_opt: 4.9029e-02 +2025-10-31 22:29:59,374 INFO: [29..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 22:48:27, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 8.8436e+00 l1_pixel_x2_opt: 6.6725e-02 fft_pixel_x2_opt: 5.2747e-02 eagle_pixel_x4_opt: 1.0536e+01 l1_pixel_x4_opt: 6.8480e-02 fft_pixel_x4_opt: 5.7971e-02 +2025-10-31 22:31:06,078 INFO: [29..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 22:48:43, time (data): 0.667 (0.000)] eagle_pixel_x2_opt: 6.2968e+00 l1_pixel_x2_opt: 5.7760e-02 fft_pixel_x2_opt: 4.2426e-02 eagle_pixel_x4_opt: 6.1548e+00 l1_pixel_x4_opt: 5.7929e-02 fft_pixel_x4_opt: 4.4922e-02 +2025-10-31 22:32:12,496 INFO: [29..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 22:48:07, time (data): 0.665 (0.000)] eagle_pixel_x2_opt: 4.6280e+00 l1_pixel_x2_opt: 5.1678e-02 fft_pixel_x2_opt: 3.7063e-02 eagle_pixel_x4_opt: 4.5374e+00 l1_pixel_x4_opt: 5.2040e-02 fft_pixel_x4_opt: 3.8863e-02 +2025-10-31 22:33:18,418 INFO: [29..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 22:46:29, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.8394e+00 l1_pixel_x2_opt: 6.8087e-02 fft_pixel_x2_opt: 4.8800e-02 eagle_pixel_x4_opt: 6.8728e+00 l1_pixel_x4_opt: 6.8849e-02 fft_pixel_x4_opt: 5.4495e-02 +2025-10-31 22:34:24,728 INFO: [29..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 22:45:37, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 7.7465e+00 l1_pixel_x2_opt: 6.5761e-02 fft_pixel_x2_opt: 5.1575e-02 eagle_pixel_x4_opt: 7.6918e+00 l1_pixel_x4_opt: 6.4835e-02 fft_pixel_x4_opt: 5.5175e-02 +2025-10-31 22:35:30,864 INFO: [29..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 22:44:26, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 7.4298e+00 l1_pixel_x2_opt: 5.9394e-02 fft_pixel_x2_opt: 4.5625e-02 eagle_pixel_x4_opt: 8.7510e+00 l1_pixel_x4_opt: 5.9918e-02 fft_pixel_x4_opt: 5.0585e-02 +2025-10-31 22:36:36,768 INFO: [29..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 22:42:55, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.2535e+00 l1_pixel_x2_opt: 5.6907e-02 fft_pixel_x2_opt: 4.1401e-02 eagle_pixel_x4_opt: 6.9603e+00 l1_pixel_x4_opt: 5.9042e-02 fft_pixel_x4_opt: 4.5794e-02 +2025-10-31 22:37:42,726 INFO: [29..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 22:41:32, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.8093e+00 l1_pixel_x2_opt: 6.0416e-02 fft_pixel_x2_opt: 4.5121e-02 eagle_pixel_x4_opt: 6.6455e+00 l1_pixel_x4_opt: 6.0847e-02 fft_pixel_x4_opt: 4.8672e-02 +2025-10-31 22:38:48,683 INFO: [29..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 22:40:12, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 9.3720e+00 l1_pixel_x2_opt: 7.9681e-02 fft_pixel_x2_opt: 5.8297e-02 eagle_pixel_x4_opt: 1.0265e+01 l1_pixel_x4_opt: 8.0100e-02 fft_pixel_x4_opt: 6.3913e-02 +2025-10-31 22:39:54,780 INFO: [29..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 22:39:02, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 7.1589e+00 l1_pixel_x2_opt: 6.1945e-02 fft_pixel_x2_opt: 4.5673e-02 eagle_pixel_x4_opt: 8.8179e+00 l1_pixel_x4_opt: 6.1649e-02 fft_pixel_x4_opt: 5.1812e-02 +2025-10-31 22:41:01,111 INFO: [29..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 22:38:10, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 6.5429e+00 l1_pixel_x2_opt: 5.8395e-02 fft_pixel_x2_opt: 4.5436e-02 eagle_pixel_x4_opt: 6.1530e+00 l1_pixel_x4_opt: 5.5108e-02 fft_pixel_x4_opt: 4.7697e-02 +2025-10-31 22:42:07,547 INFO: [29..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 22:37:23, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 7.3957e+00 l1_pixel_x2_opt: 6.6239e-02 fft_pixel_x2_opt: 4.9912e-02 eagle_pixel_x4_opt: 8.8599e+00 l1_pixel_x4_opt: 6.3935e-02 fft_pixel_x4_opt: 5.4086e-02 +2025-10-31 22:43:14,467 INFO: [29..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 22:37:03, time (data): 0.666 (0.000)] eagle_pixel_x2_opt: 6.4334e+00 l1_pixel_x2_opt: 6.2008e-02 fft_pixel_x2_opt: 4.5255e-02 eagle_pixel_x4_opt: 7.3242e+00 l1_pixel_x4_opt: 6.2105e-02 fft_pixel_x4_opt: 4.9661e-02 +2025-10-31 22:44:20,087 INFO: [29..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 22:35:23, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.6178e+00 l1_pixel_x2_opt: 4.8794e-02 fft_pixel_x2_opt: 3.5929e-02 eagle_pixel_x4_opt: 4.7543e+00 l1_pixel_x4_opt: 4.7624e-02 fft_pixel_x4_opt: 3.9614e-02 +2025-10-31 22:45:25,822 INFO: [29..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 22:33:52, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 7.8716e+00 l1_pixel_x2_opt: 7.5446e-02 fft_pixel_x2_opt: 5.2535e-02 eagle_pixel_x4_opt: 6.9800e+00 l1_pixel_x4_opt: 7.5412e-02 fft_pixel_x4_opt: 5.5443e-02 +2025-10-31 22:46:31,849 INFO: [29..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 22:32:40, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.4833e+00 l1_pixel_x2_opt: 5.8076e-02 fft_pixel_x2_opt: 4.1659e-02 eagle_pixel_x4_opt: 6.0155e+00 l1_pixel_x4_opt: 5.8679e-02 fft_pixel_x4_opt: 4.5989e-02 +2025-10-31 22:47:37,606 INFO: [29..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 22:31:14, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.4544e+00 l1_pixel_x2_opt: 5.0792e-02 fft_pixel_x2_opt: 3.5429e-02 eagle_pixel_x4_opt: 4.0652e+00 l1_pixel_x4_opt: 5.2670e-02 fft_pixel_x4_opt: 3.7994e-02 +2025-10-31 22:48:43,396 INFO: [29..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 22:29:51, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.0709e+00 l1_pixel_x2_opt: 5.6772e-02 fft_pixel_x2_opt: 3.9509e-02 eagle_pixel_x4_opt: 6.1272e+00 l1_pixel_x4_opt: 5.5662e-02 fft_pixel_x4_opt: 4.2181e-02 +2025-10-31 22:48:43,397 INFO: Saving models and training states. +2025-10-31 22:49:50,457 INFO: [29..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 22:29:29, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.3053e+00 l1_pixel_x2_opt: 6.5309e-02 fft_pixel_x2_opt: 4.6196e-02 eagle_pixel_x4_opt: 7.6660e+00 l1_pixel_x4_opt: 6.8854e-02 fft_pixel_x4_opt: 5.0666e-02 +2025-10-31 22:50:56,319 INFO: [29..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 22:28:10, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.8663e+00 l1_pixel_x2_opt: 6.3050e-02 fft_pixel_x2_opt: 4.1804e-02 eagle_pixel_x4_opt: 6.4755e+00 l1_pixel_x4_opt: 6.6174e-02 fft_pixel_x4_opt: 4.5524e-02 +2025-10-31 22:52:02,558 INFO: [29..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 22:27:08, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.9095e+00 l1_pixel_x2_opt: 5.7488e-02 fft_pixel_x2_opt: 3.9246e-02 eagle_pixel_x4_opt: 5.1745e+00 l1_pixel_x4_opt: 5.5143e-02 fft_pixel_x4_opt: 4.1822e-02 +2025-10-31 22:53:08,681 INFO: [29..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 22:26:01, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 6.1923e+00 l1_pixel_x2_opt: 6.3641e-02 fft_pixel_x2_opt: 4.5232e-02 eagle_pixel_x4_opt: 5.9345e+00 l1_pixel_x4_opt: 6.4867e-02 fft_pixel_x4_opt: 4.7416e-02 +2025-10-31 22:54:14,384 INFO: [29..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 22:24:37, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 3.3778e+00 l1_pixel_x2_opt: 4.6621e-02 fft_pixel_x2_opt: 2.9686e-02 eagle_pixel_x4_opt: 4.1893e+00 l1_pixel_x4_opt: 4.5690e-02 fft_pixel_x4_opt: 3.2856e-02 +2025-10-31 22:55:19,976 INFO: [29..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 22:23:10, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.7584e+00 l1_pixel_x2_opt: 6.2078e-02 fft_pixel_x2_opt: 4.5905e-02 eagle_pixel_x4_opt: 7.0039e+00 l1_pixel_x4_opt: 6.0298e-02 fft_pixel_x4_opt: 5.0653e-02 +2025-10-31 22:56:26,047 INFO: [29..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 22:22:02, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.0011e+00 l1_pixel_x2_opt: 6.6022e-02 fft_pixel_x2_opt: 4.6603e-02 eagle_pixel_x4_opt: 6.2384e+00 l1_pixel_x4_opt: 6.5159e-02 fft_pixel_x4_opt: 4.9207e-02 +2025-10-31 22:57:32,130 INFO: [29..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 22:20:55, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.8179e+00 l1_pixel_x2_opt: 5.4055e-02 fft_pixel_x2_opt: 3.9910e-02 eagle_pixel_x4_opt: 5.6568e+00 l1_pixel_x4_opt: 5.2478e-02 fft_pixel_x4_opt: 4.2671e-02 +2025-10-31 22:58:37,630 INFO: [29..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 22:19:27, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.0159e+00 l1_pixel_x2_opt: 6.1952e-02 fft_pixel_x2_opt: 4.5334e-02 eagle_pixel_x4_opt: 7.2829e+00 l1_pixel_x4_opt: 6.2059e-02 fft_pixel_x4_opt: 4.9902e-02 +2025-10-31 22:59:43,572 INFO: [29..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 22:18:16, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.1878e+00 l1_pixel_x2_opt: 5.8380e-02 fft_pixel_x2_opt: 4.3326e-02 eagle_pixel_x4_opt: 5.9260e+00 l1_pixel_x4_opt: 5.6771e-02 fft_pixel_x4_opt: 4.7012e-02 +2025-10-31 23:00:49,408 INFO: [29..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 22:17:01, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.2711e+00 l1_pixel_x2_opt: 5.5856e-02 fft_pixel_x2_opt: 3.9191e-02 eagle_pixel_x4_opt: 7.1568e+00 l1_pixel_x4_opt: 5.8445e-02 fft_pixel_x4_opt: 4.4105e-02 +2025-10-31 23:01:55,173 INFO: [29..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 22:15:45, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.7604e+00 l1_pixel_x2_opt: 7.2609e-02 fft_pixel_x2_opt: 5.1008e-02 eagle_pixel_x4_opt: 7.0796e+00 l1_pixel_x4_opt: 7.2649e-02 fft_pixel_x4_opt: 5.4051e-02 +2025-10-31 23:03:00,894 INFO: [29..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 22:14:27, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9195e+00 l1_pixel_x2_opt: 5.1212e-02 fft_pixel_x2_opt: 3.6044e-02 eagle_pixel_x4_opt: 4.5460e+00 l1_pixel_x4_opt: 5.0805e-02 fft_pixel_x4_opt: 3.9908e-02 +2025-10-31 23:04:06,710 INFO: [29..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 22:13:14, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.9882e+00 l1_pixel_x2_opt: 6.3869e-02 fft_pixel_x2_opt: 4.2057e-02 eagle_pixel_x4_opt: 5.7912e+00 l1_pixel_x4_opt: 6.4227e-02 fft_pixel_x4_opt: 4.5935e-02 +2025-10-31 23:05:12,218 INFO: [29..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 22:11:51, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.4602e+00 l1_pixel_x2_opt: 4.8760e-02 fft_pixel_x2_opt: 3.2295e-02 eagle_pixel_x4_opt: 5.1194e+00 l1_pixel_x4_opt: 5.2031e-02 fft_pixel_x4_opt: 3.7300e-02 +2025-10-31 23:06:17,716 INFO: [29..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 22:10:29, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.0740e+00 l1_pixel_x2_opt: 6.0869e-02 fft_pixel_x2_opt: 4.3051e-02 eagle_pixel_x4_opt: 5.6985e+00 l1_pixel_x4_opt: 5.9441e-02 fft_pixel_x4_opt: 4.6930e-02 +2025-10-31 23:07:23,784 INFO: [29..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 22:09:24, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.5669e+00 l1_pixel_x2_opt: 5.9849e-02 fft_pixel_x2_opt: 4.1598e-02 eagle_pixel_x4_opt: 5.6188e+00 l1_pixel_x4_opt: 5.8235e-02 fft_pixel_x4_opt: 4.5748e-02 +2025-10-31 23:08:29,321 INFO: [29..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 22:08:04, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2051e+00 l1_pixel_x2_opt: 5.0391e-02 fft_pixel_x2_opt: 3.3941e-02 eagle_pixel_x4_opt: 6.4403e+00 l1_pixel_x4_opt: 5.2178e-02 fft_pixel_x4_opt: 3.9259e-02 +2025-10-31 23:09:34,972 INFO: [29..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 22:06:48, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.8786e+00 l1_pixel_x2_opt: 6.1101e-02 fft_pixel_x2_opt: 4.3946e-02 eagle_pixel_x4_opt: 7.3913e+00 l1_pixel_x4_opt: 6.2694e-02 fft_pixel_x4_opt: 4.7081e-02 +2025-10-31 23:10:40,692 INFO: [29..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 22:05:34, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.5919e+00 l1_pixel_x2_opt: 6.0461e-02 fft_pixel_x2_opt: 3.9429e-02 eagle_pixel_x4_opt: 5.9726e+00 l1_pixel_x4_opt: 5.9949e-02 fft_pixel_x4_opt: 4.4378e-02 +2025-10-31 23:11:46,115 INFO: [29..][epoch: 0, step: 4,600, lr:(2.000e-04,)] [eta: 22:04:13, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.4354e+00 l1_pixel_x2_opt: 6.2856e-02 fft_pixel_x2_opt: 4.4254e-02 eagle_pixel_x4_opt: 6.1191e+00 l1_pixel_x4_opt: 6.1192e-02 fft_pixel_x4_opt: 4.6778e-02 +2025-10-31 23:12:51,774 INFO: [29..][epoch: 0, step: 4,700, lr:(2.000e-04,)] [eta: 22:02:58, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.8509e+00 l1_pixel_x2_opt: 6.1734e-02 fft_pixel_x2_opt: 4.7140e-02 eagle_pixel_x4_opt: 8.4701e+00 l1_pixel_x4_opt: 6.0238e-02 fft_pixel_x4_opt: 5.0160e-02 +2025-10-31 23:13:57,359 INFO: [29..][epoch: 0, step: 4,800, lr:(2.000e-04,)] [eta: 22:01:42, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 7.1223e+00 l1_pixel_x2_opt: 7.3059e-02 fft_pixel_x2_opt: 5.2755e-02 eagle_pixel_x4_opt: 7.4591e+00 l1_pixel_x4_opt: 7.1785e-02 fft_pixel_x4_opt: 5.4405e-02 +2025-10-31 23:15:03,073 INFO: [29..][epoch: 0, step: 4,900, lr:(2.000e-04,)] [eta: 22:00:30, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.3265e+00 l1_pixel_x2_opt: 6.2531e-02 fft_pixel_x2_opt: 4.3507e-02 eagle_pixel_x4_opt: 5.8288e+00 l1_pixel_x4_opt: 6.1341e-02 fft_pixel_x4_opt: 4.6734e-02 +2025-10-31 23:16:08,968 INFO: [29..][epoch: 0, step: 5,000, lr:(2.000e-04,)] [eta: 21:59:22, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.8981e+00 l1_pixel_x2_opt: 5.3581e-02 fft_pixel_x2_opt: 3.8047e-02 eagle_pixel_x4_opt: 6.0119e+00 l1_pixel_x4_opt: 5.2036e-02 fft_pixel_x4_opt: 4.2099e-02 +2025-10-31 23:16:08,969 INFO: Saving models and training states. +2025-10-31 23:17:28,508 INFO: Validation val_x2 + # l1_latent: 1.4698 Best: 1.4698 @ 5000 iter + # pixel_psnr_pt: 27.6282 Best: 27.6282 @ 5000 iter + +2025-10-31 23:19:59,431 INFO: Validation val_x4 + # l1_latent: 1.6262 Best: 1.6262 @ 5000 iter + # l2_latent: 4.1773 Best: 4.1773 @ 5000 iter + # pixel_psnr_pt: 27.3673 Best: 27.3673 @ 5000 iter + +2025-10-31 23:21:05,098 INFO: [29..][epoch: 0, step: 5,100, lr:(2.000e-04,)] [eta: 23:28:26, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.9521e+00 l1_pixel_x2_opt: 5.9055e-02 fft_pixel_x2_opt: 3.8908e-02 eagle_pixel_x4_opt: 6.2800e+00 l1_pixel_x4_opt: 5.9997e-02 fft_pixel_x4_opt: 4.3382e-02 +2025-10-31 23:22:10,877 INFO: [29..][epoch: 0, step: 5,200, lr:(2.000e-04,)] [eta: 23:25:27, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.7547e+00 l1_pixel_x2_opt: 5.7633e-02 fft_pixel_x2_opt: 4.0630e-02 eagle_pixel_x4_opt: 6.1609e+00 l1_pixel_x4_opt: 5.8843e-02 fft_pixel_x4_opt: 4.3915e-02 +2025-10-31 23:23:16,529 INFO: [29..][epoch: 0, step: 5,300, lr:(2.000e-04,)] [eta: 23:22:30, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.9897e+00 l1_pixel_x2_opt: 5.6645e-02 fft_pixel_x2_opt: 3.9661e-02 eagle_pixel_x4_opt: 5.6135e+00 l1_pixel_x4_opt: 5.5201e-02 fft_pixel_x4_opt: 4.2939e-02 +2025-10-31 23:24:22,402 INFO: [29..][epoch: 0, step: 5,400, lr:(2.000e-04,)] [eta: 23:19:42, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.6697e+00 l1_pixel_x2_opt: 6.3527e-02 fft_pixel_x2_opt: 4.5321e-02 eagle_pixel_x4_opt: 7.9361e+00 l1_pixel_x4_opt: 6.3563e-02 fft_pixel_x4_opt: 5.0709e-02 +2025-10-31 23:25:28,654 INFO: [29..][epoch: 0, step: 5,500, lr:(2.000e-04,)] [eta: 23:17:05, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.0769e+00 l1_pixel_x2_opt: 5.8681e-02 fft_pixel_x2_opt: 4.1920e-02 eagle_pixel_x4_opt: 5.6718e+00 l1_pixel_x4_opt: 5.7033e-02 fft_pixel_x4_opt: 4.5860e-02 +2025-10-31 23:26:34,337 INFO: [29..][epoch: 0, step: 5,600, lr:(2.000e-04,)] [eta: 23:14:20, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.4023e+00 l1_pixel_x2_opt: 6.7149e-02 fft_pixel_x2_opt: 4.9295e-02 eagle_pixel_x4_opt: 7.6713e+00 l1_pixel_x4_opt: 6.4706e-02 fft_pixel_x4_opt: 5.3117e-02 +2025-10-31 23:27:39,882 INFO: [29..][epoch: 0, step: 5,700, lr:(2.000e-04,)] [eta: 23:11:35, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.4351e+00 l1_pixel_x2_opt: 5.2608e-02 fft_pixel_x2_opt: 3.6284e-02 eagle_pixel_x4_opt: 5.0074e+00 l1_pixel_x4_opt: 4.9655e-02 fft_pixel_x4_opt: 3.8893e-02 +2025-10-31 23:28:45,675 INFO: [29..][epoch: 0, step: 5,800, lr:(2.000e-04,)] [eta: 23:08:59, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.3882e+00 l1_pixel_x2_opt: 5.8722e-02 fft_pixel_x2_opt: 4.0282e-02 eagle_pixel_x4_opt: 5.7099e+00 l1_pixel_x4_opt: 5.7435e-02 fft_pixel_x4_opt: 4.3818e-02 +2025-10-31 23:29:51,758 INFO: [29..][epoch: 0, step: 5,900, lr:(2.000e-04,)] [eta: 23:06:32, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.1281e+00 l1_pixel_x2_opt: 5.1512e-02 fft_pixel_x2_opt: 3.7712e-02 eagle_pixel_x4_opt: 5.3887e+00 l1_pixel_x4_opt: 5.1380e-02 fft_pixel_x4_opt: 4.2097e-02 +2025-10-31 23:30:57,697 INFO: [29..][epoch: 0, step: 6,000, lr:(2.000e-04,)] [eta: 23:04:04, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.9523e+00 l1_pixel_x2_opt: 6.7410e-02 fft_pixel_x2_opt: 4.7259e-02 eagle_pixel_x4_opt: 6.6282e+00 l1_pixel_x4_opt: 6.6898e-02 fft_pixel_x4_opt: 4.8215e-02 +2025-10-31 23:32:03,404 INFO: [29..][epoch: 0, step: 6,100, lr:(2.000e-04,)] [eta: 23:01:35, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.9870e+00 l1_pixel_x2_opt: 5.7829e-02 fft_pixel_x2_opt: 3.7902e-02 eagle_pixel_x4_opt: 5.3498e+00 l1_pixel_x4_opt: 5.6881e-02 fft_pixel_x4_opt: 4.1124e-02 +2025-10-31 23:33:09,530 INFO: [29..][epoch: 0, step: 6,200, lr:(2.000e-04,)] [eta: 22:59:16, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.4060e+00 l1_pixel_x2_opt: 5.9537e-02 fft_pixel_x2_opt: 4.1657e-02 eagle_pixel_x4_opt: 7.0445e+00 l1_pixel_x4_opt: 5.9379e-02 fft_pixel_x4_opt: 4.6146e-02 +2025-10-31 23:34:15,085 INFO: [29..][epoch: 0, step: 6,300, lr:(2.000e-04,)] [eta: 22:56:49, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.7694e+00 l1_pixel_x2_opt: 6.8227e-02 fft_pixel_x2_opt: 4.7460e-02 eagle_pixel_x4_opt: 6.7210e+00 l1_pixel_x4_opt: 6.6295e-02 fft_pixel_x4_opt: 5.0485e-02 +2025-10-31 23:35:20,843 INFO: [29..][epoch: 0, step: 6,400, lr:(2.000e-04,)] [eta: 22:54:29, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.4628e+00 l1_pixel_x2_opt: 5.6506e-02 fft_pixel_x2_opt: 3.6199e-02 eagle_pixel_x4_opt: 5.2458e+00 l1_pixel_x4_opt: 5.7676e-02 fft_pixel_x4_opt: 4.0115e-02 +2025-10-31 23:36:26,607 INFO: [29..][epoch: 0, step: 6,500, lr:(2.000e-04,)] [eta: 22:52:10, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 8.4183e+00 l1_pixel_x2_opt: 7.6860e-02 fft_pixel_x2_opt: 5.5782e-02 eagle_pixel_x4_opt: 9.5801e+00 l1_pixel_x4_opt: 7.5562e-02 fft_pixel_x4_opt: 5.9954e-02 +2025-10-31 23:37:31,942 INFO: [29..][epoch: 0, step: 6,600, lr:(2.000e-04,)] [eta: 22:49:47, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.1636e+00 l1_pixel_x2_opt: 6.5853e-02 fft_pixel_x2_opt: 4.3619e-02 eagle_pixel_x4_opt: 7.1367e+00 l1_pixel_x4_opt: 6.4304e-02 fft_pixel_x4_opt: 4.7824e-02 +2025-10-31 23:38:37,700 INFO: [29..][epoch: 0, step: 6,700, lr:(2.000e-04,)] [eta: 22:47:33, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.8172e+00 l1_pixel_x2_opt: 6.5458e-02 fft_pixel_x2_opt: 4.5194e-02 eagle_pixel_x4_opt: 5.6953e+00 l1_pixel_x4_opt: 6.4765e-02 fft_pixel_x4_opt: 4.7482e-02 +2025-10-31 23:39:43,600 INFO: [29..][epoch: 0, step: 6,800, lr:(2.000e-04,)] [eta: 22:45:23, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.1968e+00 l1_pixel_x2_opt: 7.0719e-02 fft_pixel_x2_opt: 4.9106e-02 eagle_pixel_x4_opt: 6.5740e+00 l1_pixel_x4_opt: 6.8398e-02 fft_pixel_x4_opt: 5.1906e-02 +2025-10-31 23:40:49,201 INFO: [29..][epoch: 0, step: 6,900, lr:(2.000e-04,)] [eta: 22:43:10, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.5918e+00 l1_pixel_x2_opt: 7.6162e-02 fft_pixel_x2_opt: 5.3021e-02 eagle_pixel_x4_opt: 6.6283e+00 l1_pixel_x4_opt: 7.3966e-02 fft_pixel_x4_opt: 5.4487e-02 +2025-10-31 23:41:54,645 INFO: [29..][epoch: 0, step: 7,000, lr:(2.000e-04,)] [eta: 22:40:57, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 6.9910e+00 l1_pixel_x2_opt: 5.8667e-02 fft_pixel_x2_opt: 4.7671e-02 eagle_pixel_x4_opt: 7.2519e+00 l1_pixel_x4_opt: 5.6947e-02 fft_pixel_x4_opt: 5.2409e-02 +2025-10-31 23:43:00,316 INFO: [29..][epoch: 0, step: 7,100, lr:(2.000e-04,)] [eta: 22:38:49, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.7083e+00 l1_pixel_x2_opt: 6.3481e-02 fft_pixel_x2_opt: 4.3442e-02 eagle_pixel_x4_opt: 6.6522e+00 l1_pixel_x4_opt: 6.2703e-02 fft_pixel_x4_opt: 4.6910e-02 +2025-10-31 23:44:05,893 INFO: [29..][epoch: 0, step: 7,200, lr:(2.000e-04,)] [eta: 22:36:41, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.4554e+00 l1_pixel_x2_opt: 6.1715e-02 fft_pixel_x2_opt: 4.3114e-02 eagle_pixel_x4_opt: 7.6687e+00 l1_pixel_x4_opt: 6.3849e-02 fft_pixel_x4_opt: 4.7772e-02 +2025-10-31 23:45:11,411 INFO: [29..][epoch: 0, step: 7,300, lr:(2.000e-04,)] [eta: 22:34:34, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.6753e+00 l1_pixel_x2_opt: 5.9170e-02 fft_pixel_x2_opt: 4.5539e-02 eagle_pixel_x4_opt: 6.9319e+00 l1_pixel_x4_opt: 5.6453e-02 fft_pixel_x4_opt: 4.9682e-02 +2025-10-31 23:46:17,496 INFO: [29..][epoch: 0, step: 7,400, lr:(2.000e-04,)] [eta: 22:32:38, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.0945e+00 l1_pixel_x2_opt: 5.4025e-02 fft_pixel_x2_opt: 3.8342e-02 eagle_pixel_x4_opt: 4.5881e+00 l1_pixel_x4_opt: 5.0921e-02 fft_pixel_x4_opt: 3.9860e-02 +2025-10-31 23:47:23,509 INFO: [29..][epoch: 0, step: 7,500, lr:(2.000e-04,)] [eta: 22:30:42, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 6.7156e+00 l1_pixel_x2_opt: 7.0450e-02 fft_pixel_x2_opt: 4.6988e-02 eagle_pixel_x4_opt: 7.3763e+00 l1_pixel_x4_opt: 6.8848e-02 fft_pixel_x4_opt: 4.9121e-02 +2025-10-31 23:47:23,510 INFO: Saving models and training states. +2025-10-31 23:48:30,880 INFO: [29..][epoch: 0, step: 7,600, lr:(2.000e-04,)] [eta: 22:29:09, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 7.0276e+00 l1_pixel_x2_opt: 6.6002e-02 fft_pixel_x2_opt: 4.9334e-02 eagle_pixel_x4_opt: 8.1022e+00 l1_pixel_x4_opt: 6.3458e-02 fft_pixel_x4_opt: 5.3474e-02 +2025-10-31 23:49:36,571 INFO: [29..][epoch: 0, step: 7,700, lr:(2.000e-04,)] [eta: 22:27:10, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.1252e+00 l1_pixel_x2_opt: 5.8101e-02 fft_pixel_x2_opt: 4.1999e-02 eagle_pixel_x4_opt: 6.3028e+00 l1_pixel_x4_opt: 5.5678e-02 fft_pixel_x4_opt: 4.6021e-02 +2025-10-31 23:50:42,722 INFO: [29..][epoch: 0, step: 7,800, lr:(2.000e-04,)] [eta: 22:25:20, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.5082e+00 l1_pixel_x2_opt: 6.8283e-02 fft_pixel_x2_opt: 4.8427e-02 eagle_pixel_x4_opt: 6.0821e+00 l1_pixel_x4_opt: 6.3586e-02 fft_pixel_x4_opt: 5.0062e-02 +2025-10-31 23:51:48,647 INFO: [29..][epoch: 0, step: 7,900, lr:(2.000e-04,)] [eta: 22:23:27, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.8138e+00 l1_pixel_x2_opt: 7.1734e-02 fft_pixel_x2_opt: 5.1187e-02 eagle_pixel_x4_opt: 9.7599e+00 l1_pixel_x4_opt: 7.0192e-02 fft_pixel_x4_opt: 5.5409e-02 +2025-10-31 23:52:54,539 INFO: [29..][epoch: 0, step: 8,000, lr:(2.000e-04,)] [eta: 22:21:35, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.6271e+00 l1_pixel_x2_opt: 7.3860e-02 fft_pixel_x2_opt: 5.3213e-02 eagle_pixel_x4_opt: 7.8593e+00 l1_pixel_x4_opt: 7.1194e-02 fft_pixel_x4_opt: 5.7126e-02 +2025-10-31 23:54:00,391 INFO: [29..][epoch: 0, step: 8,100, lr:(2.000e-04,)] [eta: 22:19:44, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.1798e+00 l1_pixel_x2_opt: 6.5625e-02 fft_pixel_x2_opt: 4.8160e-02 eagle_pixel_x4_opt: 6.7641e+00 l1_pixel_x4_opt: 6.2564e-02 fft_pixel_x4_opt: 4.9524e-02 +2025-10-31 23:55:05,866 INFO: [29..][epoch: 0, step: 8,200, lr:(2.000e-04,)] [eta: 22:17:48, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 7.2065e+00 l1_pixel_x2_opt: 7.4141e-02 fft_pixel_x2_opt: 5.3350e-02 eagle_pixel_x4_opt: 8.5329e+00 l1_pixel_x4_opt: 7.1195e-02 fft_pixel_x4_opt: 5.6267e-02 +2025-10-31 23:56:11,336 INFO: [29..][epoch: 0, step: 8,300, lr:(2.000e-04,)] [eta: 22:15:54, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.3193e+00 l1_pixel_x2_opt: 6.0183e-02 fft_pixel_x2_opt: 4.2922e-02 eagle_pixel_x4_opt: 6.8362e+00 l1_pixel_x4_opt: 5.6459e-02 fft_pixel_x4_opt: 4.5062e-02 +2025-10-31 23:57:16,721 INFO: [29..][epoch: 0, step: 8,400, lr:(2.000e-04,)] [eta: 22:13:59, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.3134e+00 l1_pixel_x2_opt: 5.9258e-02 fft_pixel_x2_opt: 4.3254e-02 eagle_pixel_x4_opt: 6.8978e+00 l1_pixel_x4_opt: 5.8039e-02 fft_pixel_x4_opt: 4.9349e-02 +2025-10-31 23:58:23,051 INFO: [29..][epoch: 0, step: 8,500, lr:(2.000e-04,)] [eta: 22:12:19, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.4240e+00 l1_pixel_x2_opt: 6.4073e-02 fft_pixel_x2_opt: 4.4854e-02 eagle_pixel_x4_opt: 5.6558e+00 l1_pixel_x4_opt: 6.0591e-02 fft_pixel_x4_opt: 4.6834e-02 +2025-10-31 23:59:29,068 INFO: [29..][epoch: 0, step: 8,600, lr:(2.000e-04,)] [eta: 22:10:35, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.2139e+00 l1_pixel_x2_opt: 4.8390e-02 fft_pixel_x2_opt: 3.5996e-02 eagle_pixel_x4_opt: 4.5307e+00 l1_pixel_x4_opt: 4.6078e-02 fft_pixel_x4_opt: 3.8016e-02 +2025-11-01 00:00:34,971 INFO: [29..][epoch: 0, step: 8,700, lr:(2.000e-04,)] [eta: 22:08:50, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.1242e+00 l1_pixel_x2_opt: 7.1218e-02 fft_pixel_x2_opt: 4.9820e-02 eagle_pixel_x4_opt: 7.0891e+00 l1_pixel_x4_opt: 7.1037e-02 fft_pixel_x4_opt: 5.2646e-02 +2025-11-01 00:01:40,516 INFO: [29..][epoch: 0, step: 8,800, lr:(2.000e-04,)] [eta: 22:07:02, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.6540e+00 l1_pixel_x2_opt: 5.7700e-02 fft_pixel_x2_opt: 4.1556e-02 eagle_pixel_x4_opt: 5.1722e+00 l1_pixel_x4_opt: 5.4646e-02 fft_pixel_x4_opt: 4.5414e-02 +2025-11-01 00:02:46,042 INFO: [29..][epoch: 0, step: 8,900, lr:(2.000e-04,)] [eta: 22:05:15, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.2904e+00 l1_pixel_x2_opt: 5.9360e-02 fft_pixel_x2_opt: 4.2273e-02 eagle_pixel_x4_opt: 7.3120e+00 l1_pixel_x4_opt: 5.8718e-02 fft_pixel_x4_opt: 4.6107e-02 +2025-11-01 00:03:52,050 INFO: [29..][epoch: 0, step: 9,000, lr:(2.000e-04,)] [eta: 22:03:34, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 9.9652e+00 l1_pixel_x2_opt: 8.7263e-02 fft_pixel_x2_opt: 6.5785e-02 eagle_pixel_x4_opt: 1.1547e+01 l1_pixel_x4_opt: 8.3965e-02 fft_pixel_x4_opt: 6.8953e-02 +2025-11-01 00:04:57,632 INFO: [29..][epoch: 0, step: 9,100, lr:(2.000e-04,)] [eta: 22:01:49, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.7304e+00 l1_pixel_x2_opt: 5.7730e-02 fft_pixel_x2_opt: 4.2297e-02 eagle_pixel_x4_opt: 5.7157e+00 l1_pixel_x4_opt: 5.5563e-02 fft_pixel_x4_opt: 4.2976e-02 +2025-11-01 00:06:03,333 INFO: [29..][epoch: 0, step: 9,200, lr:(2.000e-04,)] [eta: 22:00:06, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.5315e+00 l1_pixel_x2_opt: 5.2141e-02 fft_pixel_x2_opt: 3.7866e-02 eagle_pixel_x4_opt: 5.1151e+00 l1_pixel_x4_opt: 4.9381e-02 fft_pixel_x4_opt: 4.1733e-02 +2025-11-01 00:07:09,169 INFO: [29..][epoch: 0, step: 9,300, lr:(2.000e-04,)] [eta: 21:58:26, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.7444e+00 l1_pixel_x2_opt: 5.4267e-02 fft_pixel_x2_opt: 3.7481e-02 eagle_pixel_x4_opt: 4.8992e+00 l1_pixel_x4_opt: 5.0328e-02 fft_pixel_x4_opt: 3.9701e-02 +2025-11-01 00:08:14,757 INFO: [29..][epoch: 0, step: 9,400, lr:(2.000e-04,)] [eta: 21:56:43, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.0060e+00 l1_pixel_x2_opt: 6.2300e-02 fft_pixel_x2_opt: 4.4240e-02 eagle_pixel_x4_opt: 8.1569e+00 l1_pixel_x4_opt: 6.2487e-02 fft_pixel_x4_opt: 4.6608e-02 +2025-11-01 00:09:20,529 INFO: [29..][epoch: 0, step: 9,500, lr:(2.000e-04,)] [eta: 21:55:04, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.1060e+00 l1_pixel_x2_opt: 6.0692e-02 fft_pixel_x2_opt: 4.3802e-02 eagle_pixel_x4_opt: 5.8905e+00 l1_pixel_x4_opt: 5.6022e-02 fft_pixel_x4_opt: 4.5160e-02 +2025-11-01 00:10:25,998 INFO: [29..][epoch: 0, step: 9,600, lr:(2.000e-04,)] [eta: 21:53:21, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.0029e+00 l1_pixel_x2_opt: 5.6915e-02 fft_pixel_x2_opt: 4.2676e-02 eagle_pixel_x4_opt: 5.1930e+00 l1_pixel_x4_opt: 5.5031e-02 fft_pixel_x4_opt: 4.4760e-02 +2025-11-01 00:11:31,688 INFO: [29..][epoch: 0, step: 9,700, lr:(2.000e-04,)] [eta: 21:51:42, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.0529e+00 l1_pixel_x2_opt: 6.6139e-02 fft_pixel_x2_opt: 4.8712e-02 eagle_pixel_x4_opt: 5.7632e+00 l1_pixel_x4_opt: 6.2952e-02 fft_pixel_x4_opt: 5.0410e-02 +2025-11-01 00:12:37,188 INFO: [29..][epoch: 0, step: 9,800, lr:(2.000e-04,)] [eta: 21:50:01, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.3592e+00 l1_pixel_x2_opt: 5.9910e-02 fft_pixel_x2_opt: 4.4298e-02 eagle_pixel_x4_opt: 6.2143e+00 l1_pixel_x4_opt: 5.6591e-02 fft_pixel_x4_opt: 4.5405e-02 +2025-11-01 00:13:42,816 INFO: [29..][epoch: 0, step: 9,900, lr:(2.000e-04,)] [eta: 21:48:23, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.0028e+00 l1_pixel_x2_opt: 5.1975e-02 fft_pixel_x2_opt: 3.6422e-02 eagle_pixel_x4_opt: 4.5264e+00 l1_pixel_x4_opt: 4.8698e-02 fft_pixel_x4_opt: 3.9592e-02 +2025-11-01 00:14:48,492 INFO: [29..][epoch: 0, step: 10,000, lr:(2.000e-04,)] [eta: 21:46:46, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.1652e+00 l1_pixel_x2_opt: 5.3463e-02 fft_pixel_x2_opt: 4.2082e-02 eagle_pixel_x4_opt: 6.5659e+00 l1_pixel_x4_opt: 5.1571e-02 fft_pixel_x4_opt: 4.3848e-02 +2025-11-01 00:14:48,494 INFO: Saving models and training states. +2025-11-01 00:16:11,461 INFO: Validation val_x2 + # l1_latent: 1.4952 Best: 1.4952 @ 10000 iter + # pixel_psnr_pt: 27.7022 Best: 27.7022 @ 10000 iter + +2025-11-01 00:18:32,538 INFO: Validation val_x4 + # l1_latent: 1.6933 Best: 1.6933 @ 10000 iter + # l2_latent: 4.4895 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.5679 Best: 27.5679 @ 10000 iter + +2025-11-01 00:19:38,099 INFO: [29..][epoch: 0, step: 10,100, lr:(2.000e-04,)] [eta: 22:27:36, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.6034e+00 l1_pixel_x2_opt: 6.6280e-02 fft_pixel_x2_opt: 4.6449e-02 eagle_pixel_x4_opt: 6.4337e+00 l1_pixel_x4_opt: 6.3821e-02 fft_pixel_x4_opt: 4.9014e-02 +2025-11-01 00:20:43,864 INFO: [29..][epoch: 0, step: 10,200, lr:(2.000e-04,)] [eta: 22:25:34, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.0085e+00 l1_pixel_x2_opt: 6.7978e-02 fft_pixel_x2_opt: 4.9770e-02 eagle_pixel_x4_opt: 7.2804e+00 l1_pixel_x4_opt: 6.5133e-02 fft_pixel_x4_opt: 5.3945e-02 +2025-11-01 00:21:50,145 INFO: [29..][epoch: 0, step: 10,300, lr:(2.000e-04,)] [eta: 22:23:39, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 6.8728e+00 l1_pixel_x2_opt: 7.0588e-02 fft_pixel_x2_opt: 4.9054e-02 eagle_pixel_x4_opt: 7.8288e+00 l1_pixel_x4_opt: 6.8766e-02 fft_pixel_x4_opt: 5.3077e-02 +2025-11-01 00:22:55,606 INFO: [29..][epoch: 0, step: 10,400, lr:(2.000e-04,)] [eta: 22:21:35, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.8738e+00 l1_pixel_x2_opt: 5.4558e-02 fft_pixel_x2_opt: 3.9889e-02 eagle_pixel_x4_opt: 6.4599e+00 l1_pixel_x4_opt: 4.9984e-02 fft_pixel_x4_opt: 4.2090e-02 +2025-11-01 00:24:01,775 INFO: [29..][epoch: 0, step: 10,500, lr:(2.000e-04,)] [eta: 22:19:40, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.6577e+00 l1_pixel_x2_opt: 6.5501e-02 fft_pixel_x2_opt: 4.6709e-02 eagle_pixel_x4_opt: 6.7819e+00 l1_pixel_x4_opt: 6.2335e-02 fft_pixel_x4_opt: 4.8596e-02 +2025-11-01 00:25:07,603 INFO: [29..][epoch: 0, step: 10,600, lr:(2.000e-04,)] [eta: 22:17:43, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.7563e+00 l1_pixel_x2_opt: 6.7894e-02 fft_pixel_x2_opt: 4.9276e-02 eagle_pixel_x4_opt: 5.8932e+00 l1_pixel_x4_opt: 6.1628e-02 fft_pixel_x4_opt: 5.1888e-02 +2025-11-01 00:26:13,068 INFO: [29..][epoch: 0, step: 10,700, lr:(2.000e-04,)] [eta: 22:15:43, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.0156e+00 l1_pixel_x2_opt: 5.7160e-02 fft_pixel_x2_opt: 4.0439e-02 eagle_pixel_x4_opt: 6.3392e+00 l1_pixel_x4_opt: 5.4048e-02 fft_pixel_x4_opt: 4.2644e-02 +2025-11-01 00:27:18,842 INFO: [29..][epoch: 0, step: 10,800, lr:(2.000e-04,)] [eta: 22:13:47, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.7092e+00 l1_pixel_x2_opt: 5.6774e-02 fft_pixel_x2_opt: 3.7976e-02 eagle_pixel_x4_opt: 4.5309e+00 l1_pixel_x4_opt: 5.5130e-02 fft_pixel_x4_opt: 3.9557e-02 +2025-11-01 00:28:24,322 INFO: [29..][epoch: 0, step: 10,900, lr:(2.000e-04,)] [eta: 22:11:48, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.7187e+00 l1_pixel_x2_opt: 6.3952e-02 fft_pixel_x2_opt: 4.5842e-02 eagle_pixel_x4_opt: 5.8565e+00 l1_pixel_x4_opt: 5.8756e-02 fft_pixel_x4_opt: 4.8044e-02 +2025-11-01 00:29:30,196 INFO: [29..][epoch: 0, step: 11,000, lr:(2.000e-04,)] [eta: 22:09:55, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.2550e+00 l1_pixel_x2_opt: 5.6842e-02 fft_pixel_x2_opt: 4.0446e-02 eagle_pixel_x4_opt: 6.7084e+00 l1_pixel_x4_opt: 5.5721e-02 fft_pixel_x4_opt: 4.4367e-02 +2025-11-01 00:30:35,945 INFO: [29..][epoch: 0, step: 11,100, lr:(2.000e-04,)] [eta: 22:08:02, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.1595e+00 l1_pixel_x2_opt: 5.5842e-02 fft_pixel_x2_opt: 3.8508e-02 eagle_pixel_x4_opt: 7.5030e+00 l1_pixel_x4_opt: 5.4039e-02 fft_pixel_x4_opt: 4.4110e-02 +2025-11-01 00:31:41,404 INFO: [29..][epoch: 0, step: 11,200, lr:(2.000e-04,)] [eta: 22:06:06, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.4266e+00 l1_pixel_x2_opt: 5.5703e-02 fft_pixel_x2_opt: 3.6375e-02 eagle_pixel_x4_opt: 5.2129e+00 l1_pixel_x4_opt: 5.5968e-02 fft_pixel_x4_opt: 3.9513e-02 +2025-11-01 00:32:47,231 INFO: [29..][epoch: 0, step: 11,300, lr:(2.000e-04,)] [eta: 22:04:15, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 4.3671e+00 l1_pixel_x2_opt: 5.4937e-02 fft_pixel_x2_opt: 3.7963e-02 eagle_pixel_x4_opt: 5.2727e+00 l1_pixel_x4_opt: 5.1759e-02 fft_pixel_x4_opt: 4.0373e-02 +2025-11-01 00:33:52,908 INFO: [29..][epoch: 0, step: 11,400, lr:(2.000e-04,)] [eta: 22:02:23, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.7994e+00 l1_pixel_x2_opt: 5.9213e-02 fft_pixel_x2_opt: 4.1850e-02 eagle_pixel_x4_opt: 4.7836e+00 l1_pixel_x4_opt: 5.4561e-02 fft_pixel_x4_opt: 4.3640e-02 +2025-11-01 00:34:58,975 INFO: [29..][epoch: 0, step: 11,500, lr:(2.000e-04,)] [eta: 22:00:36, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.6682e+00 l1_pixel_x2_opt: 6.5488e-02 fft_pixel_x2_opt: 4.5570e-02 eagle_pixel_x4_opt: 6.1800e+00 l1_pixel_x4_opt: 6.0985e-02 fft_pixel_x4_opt: 4.8314e-02 +2025-11-01 00:36:04,564 INFO: [29..][epoch: 0, step: 11,600, lr:(2.000e-04,)] [eta: 21:58:45, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.7817e+00 l1_pixel_x2_opt: 4.9288e-02 fft_pixel_x2_opt: 3.4169e-02 eagle_pixel_x4_opt: 5.3011e+00 l1_pixel_x4_opt: 4.6800e-02 fft_pixel_x4_opt: 3.7780e-02 +2025-11-01 00:37:10,225 INFO: [29..][epoch: 0, step: 11,700, lr:(2.000e-04,)] [eta: 21:56:55, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.1755e+00 l1_pixel_x2_opt: 5.6420e-02 fft_pixel_x2_opt: 4.0551e-02 eagle_pixel_x4_opt: 6.4527e+00 l1_pixel_x4_opt: 5.6116e-02 fft_pixel_x4_opt: 4.4605e-02 +2025-11-01 00:38:24,498 INFO: [29..][epoch: 0, step: 11,800, lr:(2.000e-04,)] [eta: 21:56:29, time (data): 0.717 (0.000)] eagle_pixel_x2_opt: 4.2773e+00 l1_pixel_x2_opt: 5.5277e-02 fft_pixel_x2_opt: 3.6171e-02 eagle_pixel_x4_opt: 5.3641e+00 l1_pixel_x4_opt: 5.1627e-02 fft_pixel_x4_opt: 3.8833e-02 +2025-11-01 00:39:30,258 INFO: [29..][epoch: 0, step: 11,900, lr:(2.000e-04,)] [eta: 21:54:41, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 7.3201e+00 l1_pixel_x2_opt: 5.6479e-02 fft_pixel_x2_opt: 4.3695e-02 eagle_pixel_x4_opt: 1.0218e+01 l1_pixel_x4_opt: 5.6176e-02 fft_pixel_x4_opt: 4.7286e-02 +2025-11-01 00:40:35,980 INFO: [29..][epoch: 0, step: 12,000, lr:(2.000e-04,)] [eta: 21:52:53, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.5041e+00 l1_pixel_x2_opt: 5.1428e-02 fft_pixel_x2_opt: 3.5912e-02 eagle_pixel_x4_opt: 6.5063e+00 l1_pixel_x4_opt: 4.9492e-02 fft_pixel_x4_opt: 3.9301e-02 +2025-11-01 00:41:41,868 INFO: [29..][epoch: 0, step: 12,100, lr:(2.000e-04,)] [eta: 21:51:05, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.1455e+00 l1_pixel_x2_opt: 5.3529e-02 fft_pixel_x2_opt: 3.6672e-02 eagle_pixel_x4_opt: 5.5460e+00 l1_pixel_x4_opt: 5.2321e-02 fft_pixel_x4_opt: 4.0290e-02 +2025-11-01 00:42:47,557 INFO: [29..][epoch: 0, step: 12,200, lr:(2.000e-04,)] [eta: 21:49:21, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.0307e+00 l1_pixel_x2_opt: 5.6620e-02 fft_pixel_x2_opt: 3.9283e-02 eagle_pixel_x4_opt: 4.9583e+00 l1_pixel_x4_opt: 5.6237e-02 fft_pixel_x4_opt: 4.3633e-02 +2025-11-01 00:43:53,310 INFO: [29..][epoch: 0, step: 12,300, lr:(2.000e-04,)] [eta: 21:47:36, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.0776e+00 l1_pixel_x2_opt: 6.6714e-02 fft_pixel_x2_opt: 4.6188e-02 eagle_pixel_x4_opt: 5.1183e+00 l1_pixel_x4_opt: 6.4389e-02 fft_pixel_x4_opt: 4.8926e-02 +2025-11-01 00:44:58,801 INFO: [29..][epoch: 0, step: 12,400, lr:(2.000e-04,)] [eta: 21:45:49, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.6095e+00 l1_pixel_x2_opt: 6.5443e-02 fft_pixel_x2_opt: 4.3928e-02 eagle_pixel_x4_opt: 5.2952e+00 l1_pixel_x4_opt: 6.1097e-02 fft_pixel_x4_opt: 4.5336e-02 +2025-11-01 00:46:04,340 INFO: [29..][epoch: 0, step: 12,500, lr:(2.000e-04,)] [eta: 21:44:03, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.6363e+00 l1_pixel_x2_opt: 5.7311e-02 fft_pixel_x2_opt: 4.1245e-02 eagle_pixel_x4_opt: 5.9972e+00 l1_pixel_x4_opt: 5.1746e-02 fft_pixel_x4_opt: 4.3159e-02 +2025-11-01 00:46:04,341 INFO: Saving models and training states. +2025-11-01 00:47:11,455 INFO: [29..][epoch: 0, step: 12,600, lr:(2.000e-04,)] [eta: 21:42:32, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.9953e+00 l1_pixel_x2_opt: 5.4996e-02 fft_pixel_x2_opt: 4.0133e-02 eagle_pixel_x4_opt: 6.2606e+00 l1_pixel_x4_opt: 5.2210e-02 fft_pixel_x4_opt: 4.3767e-02 +2025-11-01 00:48:17,056 INFO: [29..][epoch: 0, step: 12,700, lr:(2.000e-04,)] [eta: 21:40:48, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.1273e+00 l1_pixel_x2_opt: 6.2032e-02 fft_pixel_x2_opt: 4.3990e-02 eagle_pixel_x4_opt: 7.2405e+00 l1_pixel_x4_opt: 5.8830e-02 fft_pixel_x4_opt: 4.7577e-02 +2025-11-01 00:49:22,810 INFO: [29..][epoch: 0, step: 12,800, lr:(2.000e-04,)] [eta: 21:39:05, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.3927e+00 l1_pixel_x2_opt: 6.4155e-02 fft_pixel_x2_opt: 4.5258e-02 eagle_pixel_x4_opt: 6.4910e+00 l1_pixel_x4_opt: 6.0968e-02 fft_pixel_x4_opt: 4.8816e-02 +2025-11-01 00:50:28,337 INFO: [29..][epoch: 0, step: 12,900, lr:(2.000e-04,)] [eta: 21:37:21, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.4098e+00 l1_pixel_x2_opt: 6.7978e-02 fft_pixel_x2_opt: 4.7217e-02 eagle_pixel_x4_opt: 6.8205e+00 l1_pixel_x4_opt: 6.5025e-02 fft_pixel_x4_opt: 5.0256e-02 +2025-11-01 00:51:34,198 INFO: [29..][epoch: 0, step: 13,000, lr:(2.000e-04,)] [eta: 21:35:41, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.7395e+00 l1_pixel_x2_opt: 5.1279e-02 fft_pixel_x2_opt: 3.8795e-02 eagle_pixel_x4_opt: 6.6821e+00 l1_pixel_x4_opt: 4.9715e-02 fft_pixel_x4_opt: 4.3500e-02 +2025-11-01 00:52:39,698 INFO: [29..][epoch: 0, step: 13,100, lr:(2.000e-04,)] [eta: 21:33:58, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.8898e+00 l1_pixel_x2_opt: 4.6841e-02 fft_pixel_x2_opt: 3.7151e-02 eagle_pixel_x4_opt: 7.2343e+00 l1_pixel_x4_opt: 4.3185e-02 fft_pixel_x4_opt: 4.1999e-02 +2025-11-01 00:53:45,013 INFO: [29..][epoch: 0, step: 13,200, lr:(2.000e-04,)] [eta: 21:32:15, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.3293e+00 l1_pixel_x2_opt: 5.1527e-02 fft_pixel_x2_opt: 3.7149e-02 eagle_pixel_x4_opt: 6.4386e+00 l1_pixel_x4_opt: 5.2342e-02 fft_pixel_x4_opt: 4.0816e-02 +2025-11-01 00:54:50,639 INFO: [29..][epoch: 0, step: 13,300, lr:(2.000e-04,)] [eta: 21:30:34, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.0949e+00 l1_pixel_x2_opt: 6.0342e-02 fft_pixel_x2_opt: 4.3220e-02 eagle_pixel_x4_opt: 5.2169e+00 l1_pixel_x4_opt: 5.6835e-02 fft_pixel_x4_opt: 4.4705e-02 +2025-11-01 00:55:56,564 INFO: [29..][epoch: 0, step: 13,400, lr:(2.000e-04,)] [eta: 21:28:56, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9825e+00 l1_pixel_x2_opt: 5.1244e-02 fft_pixel_x2_opt: 3.5519e-02 eagle_pixel_x4_opt: 5.2286e+00 l1_pixel_x4_opt: 5.0042e-02 fft_pixel_x4_opt: 3.9402e-02 +2025-11-01 00:57:02,655 INFO: [29..][epoch: 0, step: 13,500, lr:(2.000e-04,)] [eta: 21:27:20, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.9501e+00 l1_pixel_x2_opt: 7.0024e-02 fft_pixel_x2_opt: 4.6331e-02 eagle_pixel_x4_opt: 6.5468e+00 l1_pixel_x4_opt: 6.6522e-02 fft_pixel_x4_opt: 4.8890e-02 +2025-11-01 00:58:08,185 INFO: [29..][epoch: 0, step: 13,600, lr:(2.000e-04,)] [eta: 21:25:41, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.6809e+00 l1_pixel_x2_opt: 7.4602e-02 fft_pixel_x2_opt: 5.0326e-02 eagle_pixel_x4_opt: 8.4021e+00 l1_pixel_x4_opt: 7.2848e-02 fft_pixel_x4_opt: 5.3826e-02 +2025-11-01 00:59:14,343 INFO: [29..][epoch: 0, step: 13,700, lr:(2.000e-04,)] [eta: 21:24:06, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 5.0444e+00 l1_pixel_x2_opt: 5.4833e-02 fft_pixel_x2_opt: 3.9416e-02 eagle_pixel_x4_opt: 6.7174e+00 l1_pixel_x4_opt: 5.1709e-02 fft_pixel_x4_opt: 4.3514e-02 +2025-11-01 01:00:19,688 INFO: [29..][epoch: 0, step: 13,800, lr:(2.000e-04,)] [eta: 21:22:26, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2409e+00 l1_pixel_x2_opt: 5.6941e-02 fft_pixel_x2_opt: 3.8648e-02 eagle_pixel_x4_opt: 4.9291e+00 l1_pixel_x4_opt: 5.3670e-02 fft_pixel_x4_opt: 4.1343e-02 +2025-11-01 01:01:25,510 INFO: [29..][epoch: 0, step: 13,900, lr:(2.000e-04,)] [eta: 21:20:50, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.1377e+00 l1_pixel_x2_opt: 5.5953e-02 fft_pixel_x2_opt: 3.7784e-02 eagle_pixel_x4_opt: 5.5864e+00 l1_pixel_x4_opt: 5.2009e-02 fft_pixel_x4_opt: 4.0794e-02 +2025-11-01 01:02:31,194 INFO: [29..][epoch: 0, step: 14,000, lr:(2.000e-04,)] [eta: 21:19:13, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.0195e+00 l1_pixel_x2_opt: 5.3194e-02 fft_pixel_x2_opt: 3.6612e-02 eagle_pixel_x4_opt: 5.1619e+00 l1_pixel_x4_opt: 5.1282e-02 fft_pixel_x4_opt: 3.9231e-02 +2025-11-01 01:03:36,755 INFO: [29..][epoch: 0, step: 14,100, lr:(2.000e-04,)] [eta: 21:17:35, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 6.5045e+00 l1_pixel_x2_opt: 6.5599e-02 fft_pixel_x2_opt: 4.6913e-02 eagle_pixel_x4_opt: 6.7199e+00 l1_pixel_x4_opt: 6.2717e-02 fft_pixel_x4_opt: 4.7928e-02 +2025-11-01 01:04:42,519 INFO: [29..][epoch: 0, step: 14,200, lr:(2.000e-04,)] [eta: 21:16:00, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.0993e+00 l1_pixel_x2_opt: 5.8795e-02 fft_pixel_x2_opt: 3.9643e-02 eagle_pixel_x4_opt: 4.8254e+00 l1_pixel_x4_opt: 5.7033e-02 fft_pixel_x4_opt: 4.0903e-02 +2025-11-01 01:05:47,960 INFO: [29..][epoch: 0, step: 14,300, lr:(2.000e-04,)] [eta: 21:14:23, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 7.0679e+00 l1_pixel_x2_opt: 5.9641e-02 fft_pixel_x2_opt: 4.4641e-02 eagle_pixel_x4_opt: 8.3758e+00 l1_pixel_x4_opt: 5.5956e-02 fft_pixel_x4_opt: 4.7071e-02 +2025-11-01 01:06:53,446 INFO: [29..][epoch: 0, step: 14,400, lr:(2.000e-04,)] [eta: 21:12:46, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.6559e+00 l1_pixel_x2_opt: 6.1803e-02 fft_pixel_x2_opt: 4.4731e-02 eagle_pixel_x4_opt: 5.5459e+00 l1_pixel_x4_opt: 5.7743e-02 fft_pixel_x4_opt: 4.6119e-02 +2025-11-01 01:07:58,975 INFO: [29..][epoch: 0, step: 14,500, lr:(2.000e-04,)] [eta: 21:11:10, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.7150e+00 l1_pixel_x2_opt: 5.5260e-02 fft_pixel_x2_opt: 3.9360e-02 eagle_pixel_x4_opt: 5.7154e+00 l1_pixel_x4_opt: 5.2130e-02 fft_pixel_x4_opt: 4.2018e-02 +2025-11-01 01:09:04,455 INFO: [29..][epoch: 0, step: 14,600, lr:(2.000e-04,)] [eta: 21:09:34, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.9389e+00 l1_pixel_x2_opt: 6.0911e-02 fft_pixel_x2_opt: 4.4788e-02 eagle_pixel_x4_opt: 7.5237e+00 l1_pixel_x4_opt: 6.0020e-02 fft_pixel_x4_opt: 4.8782e-02 +2025-11-01 01:10:10,245 INFO: [29..][epoch: 0, step: 14,700, lr:(2.000e-04,)] [eta: 21:08:01, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.6470e+00 l1_pixel_x2_opt: 5.9655e-02 fft_pixel_x2_opt: 4.6613e-02 eagle_pixel_x4_opt: 6.9344e+00 l1_pixel_x4_opt: 5.5988e-02 fft_pixel_x4_opt: 4.7671e-02 +2025-11-01 01:11:16,342 INFO: [29..][epoch: 0, step: 14,800, lr:(2.000e-04,)] [eta: 21:06:31, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.2831e+00 l1_pixel_x2_opt: 5.9907e-02 fft_pixel_x2_opt: 4.2032e-02 eagle_pixel_x4_opt: 6.5192e+00 l1_pixel_x4_opt: 5.8148e-02 fft_pixel_x4_opt: 4.4729e-02 +2025-11-01 01:12:21,945 INFO: [29..][epoch: 0, step: 14,900, lr:(2.000e-04,)] [eta: 21:04:57, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.0386e+00 l1_pixel_x2_opt: 5.9187e-02 fft_pixel_x2_opt: 3.7351e-02 eagle_pixel_x4_opt: 4.9742e+00 l1_pixel_x4_opt: 5.6345e-02 fft_pixel_x4_opt: 3.8345e-02 +2025-11-01 01:13:28,047 INFO: [29..][epoch: 0, step: 15,000, lr:(2.000e-04,)] [eta: 21:03:27, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.7914e+00 l1_pixel_x2_opt: 6.2556e-02 fft_pixel_x2_opt: 4.7270e-02 eagle_pixel_x4_opt: 8.5338e+00 l1_pixel_x4_opt: 5.8902e-02 fft_pixel_x4_opt: 5.1031e-02 +2025-11-01 01:13:28,048 INFO: Saving models and training states. +2025-11-01 01:14:46,064 INFO: Validation val_x2 + # l1_latent: 1.5095 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.7546 Best: 27.7546 @ 15000 iter + +2025-11-01 01:17:15,921 INFO: Validation val_x4 + # l1_latent: 1.6776 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3765 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.7168 Best: 27.7168 @ 15000 iter + +2025-11-01 01:18:21,289 INFO: [29..][epoch: 0, step: 15,100, lr:(2.000e-04,)] [eta: 21:29:31, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 5.9215e+00 l1_pixel_x2_opt: 5.8447e-02 fft_pixel_x2_opt: 4.4329e-02 eagle_pixel_x4_opt: 7.4371e+00 l1_pixel_x4_opt: 5.5703e-02 fft_pixel_x4_opt: 4.8359e-02 +2025-11-01 01:19:26,645 INFO: [29..][epoch: 0, step: 15,200, lr:(2.000e-04,)] [eta: 21:27:44, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.3657e+00 l1_pixel_x2_opt: 7.0714e-02 fft_pixel_x2_opt: 4.9315e-02 eagle_pixel_x4_opt: 7.4775e+00 l1_pixel_x4_opt: 6.4732e-02 fft_pixel_x4_opt: 5.0390e-02 +2025-11-01 01:20:32,181 INFO: [29..][epoch: 0, step: 15,300, lr:(2.000e-04,)] [eta: 21:25:59, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 7.5671e+00 l1_pixel_x2_opt: 7.0039e-02 fft_pixel_x2_opt: 5.0371e-02 eagle_pixel_x4_opt: 1.0034e+01 l1_pixel_x4_opt: 6.9815e-02 fft_pixel_x4_opt: 5.4544e-02 +2025-11-01 01:21:37,738 INFO: [29..][epoch: 0, step: 15,400, lr:(2.000e-04,)] [eta: 21:24:15, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.6031e+00 l1_pixel_x2_opt: 6.2764e-02 fft_pixel_x2_opt: 4.7560e-02 eagle_pixel_x4_opt: 9.4549e+00 l1_pixel_x4_opt: 6.2045e-02 fft_pixel_x4_opt: 5.0945e-02 +2025-11-01 01:22:44,283 INFO: [29..][epoch: 0, step: 15,500, lr:(2.000e-04,)] [eta: 21:22:38, time (data): 0.669 (0.000)] eagle_pixel_x2_opt: 4.6136e+00 l1_pixel_x2_opt: 5.2029e-02 fft_pixel_x2_opt: 3.7393e-02 eagle_pixel_x4_opt: 5.9651e+00 l1_pixel_x4_opt: 5.1134e-02 fft_pixel_x4_opt: 4.1611e-02 +2025-11-01 01:23:49,869 INFO: [29..][epoch: 0, step: 15,600, lr:(2.000e-04,)] [eta: 21:20:55, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9081e+00 l1_pixel_x2_opt: 5.9152e-02 fft_pixel_x2_opt: 3.8639e-02 eagle_pixel_x4_opt: 4.8993e+00 l1_pixel_x4_opt: 5.6376e-02 fft_pixel_x4_opt: 4.1403e-02 +2025-11-01 01:24:55,722 INFO: [29..][epoch: 0, step: 15,700, lr:(2.000e-04,)] [eta: 21:19:14, time (data): 0.670 (0.000)] eagle_pixel_x2_opt: 4.6347e+00 l1_pixel_x2_opt: 5.4087e-02 fft_pixel_x2_opt: 3.8281e-02 eagle_pixel_x4_opt: 5.4223e+00 l1_pixel_x4_opt: 5.1336e-02 fft_pixel_x4_opt: 4.0332e-02 +2025-11-01 01:26:01,936 INFO: [29..][epoch: 0, step: 15,800, lr:(2.000e-04,)] [eta: 21:17:36, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 4.4963e+00 l1_pixel_x2_opt: 5.7173e-02 fft_pixel_x2_opt: 4.0741e-02 eagle_pixel_x4_opt: 5.2368e+00 l1_pixel_x4_opt: 5.1971e-02 fft_pixel_x4_opt: 4.2584e-02 +2025-11-01 01:27:07,254 INFO: [29..][epoch: 0, step: 15,900, lr:(2.000e-04,)] [eta: 21:15:52, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.8899e+00 l1_pixel_x2_opt: 7.1194e-02 fft_pixel_x2_opt: 5.1281e-02 eagle_pixel_x4_opt: 7.5488e+00 l1_pixel_x4_opt: 6.8421e-02 fft_pixel_x4_opt: 5.1350e-02 +2025-11-01 01:28:12,730 INFO: [29..][epoch: 0, step: 16,000, lr:(2.000e-04,)] [eta: 21:14:10, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.8112e+00 l1_pixel_x2_opt: 5.1812e-02 fft_pixel_x2_opt: 3.5499e-02 eagle_pixel_x4_opt: 4.4669e+00 l1_pixel_x4_opt: 4.7808e-02 fft_pixel_x4_opt: 3.6586e-02 +2025-11-01 01:29:18,361 INFO: [29..][epoch: 0, step: 16,100, lr:(2.000e-04,)] [eta: 21:12:29, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 3.4502e+00 l1_pixel_x2_opt: 4.8304e-02 fft_pixel_x2_opt: 3.2102e-02 eagle_pixel_x4_opt: 4.7408e+00 l1_pixel_x4_opt: 4.6517e-02 fft_pixel_x4_opt: 3.5421e-02 +2025-11-01 01:30:24,252 INFO: [29..][epoch: 0, step: 16,200, lr:(2.000e-04,)] [eta: 21:10:51, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.0577e+00 l1_pixel_x2_opt: 5.4701e-02 fft_pixel_x2_opt: 3.9357e-02 eagle_pixel_x4_opt: 6.8533e+00 l1_pixel_x4_opt: 5.1972e-02 fft_pixel_x4_opt: 4.2450e-02 +2025-11-01 01:31:30,123 INFO: [29..][epoch: 0, step: 16,300, lr:(2.000e-04,)] [eta: 21:09:13, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.6807e+00 l1_pixel_x2_opt: 6.8922e-02 fft_pixel_x2_opt: 4.8509e-02 eagle_pixel_x4_opt: 6.9387e+00 l1_pixel_x4_opt: 6.3344e-02 fft_pixel_x4_opt: 5.1743e-02 +2025-11-01 01:32:35,744 INFO: [29..][epoch: 0, step: 16,400, lr:(2.000e-04,)] [eta: 21:07:33, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.7271e+00 l1_pixel_x2_opt: 7.2188e-02 fft_pixel_x2_opt: 5.1036e-02 eagle_pixel_x4_opt: 7.2273e+00 l1_pixel_x4_opt: 6.7710e-02 fft_pixel_x4_opt: 5.2844e-02 +2025-11-01 01:33:41,915 INFO: [29..][epoch: 0, step: 16,500, lr:(2.000e-04,)] [eta: 21:05:58, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.7145e+00 l1_pixel_x2_opt: 5.3605e-02 fft_pixel_x2_opt: 3.8054e-02 eagle_pixel_x4_opt: 5.9965e+00 l1_pixel_x4_opt: 5.2553e-02 fft_pixel_x4_opt: 4.0930e-02 +2025-11-01 01:34:48,066 INFO: [29..][epoch: 0, step: 16,600, lr:(2.000e-04,)] [eta: 21:04:23, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.4381e+00 l1_pixel_x2_opt: 5.5158e-02 fft_pixel_x2_opt: 3.7316e-02 eagle_pixel_x4_opt: 5.0154e+00 l1_pixel_x4_opt: 5.0826e-02 fft_pixel_x4_opt: 4.0881e-02 +2025-11-01 01:35:54,229 INFO: [29..][epoch: 0, step: 16,700, lr:(2.000e-04,)] [eta: 21:02:48, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 6.0088e+00 l1_pixel_x2_opt: 5.6640e-02 fft_pixel_x2_opt: 4.1565e-02 eagle_pixel_x4_opt: 7.6886e+00 l1_pixel_x4_opt: 5.4755e-02 fft_pixel_x4_opt: 4.5510e-02 +2025-11-01 01:36:59,550 INFO: [29..][epoch: 0, step: 16,800, lr:(2.000e-04,)] [eta: 21:01:08, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.2583e+00 l1_pixel_x2_opt: 5.5117e-02 fft_pixel_x2_opt: 3.9058e-02 eagle_pixel_x4_opt: 6.1713e+00 l1_pixel_x4_opt: 5.4265e-02 fft_pixel_x4_opt: 4.2489e-02 +2025-11-01 01:38:05,539 INFO: [29..][epoch: 0, step: 16,900, lr:(2.000e-04,)] [eta: 20:59:33, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.8566e+00 l1_pixel_x2_opt: 7.3737e-02 fft_pixel_x2_opt: 5.1332e-02 eagle_pixel_x4_opt: 7.9933e+00 l1_pixel_x4_opt: 7.0429e-02 fft_pixel_x4_opt: 5.4342e-02 +2025-11-01 01:39:11,263 INFO: [29..][epoch: 0, step: 17,000, lr:(2.000e-04,)] [eta: 20:57:56, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.8078e+00 l1_pixel_x2_opt: 4.5945e-02 fft_pixel_x2_opt: 3.2141e-02 eagle_pixel_x4_opt: 5.2884e+00 l1_pixel_x4_opt: 4.4452e-02 fft_pixel_x4_opt: 3.6164e-02 +2025-11-01 01:40:17,593 INFO: [29..][epoch: 0, step: 17,100, lr:(2.000e-04,)] [eta: 20:56:24, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 4.1310e+00 l1_pixel_x2_opt: 5.2877e-02 fft_pixel_x2_opt: 3.7059e-02 eagle_pixel_x4_opt: 5.4058e+00 l1_pixel_x4_opt: 4.8920e-02 fft_pixel_x4_opt: 4.0040e-02 +2025-11-01 01:41:24,023 INFO: [29..][epoch: 0, step: 17,200, lr:(2.000e-04,)] [eta: 20:54:53, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 5.5116e+00 l1_pixel_x2_opt: 6.3987e-02 fft_pixel_x2_opt: 4.4314e-02 eagle_pixel_x4_opt: 7.5516e+00 l1_pixel_x4_opt: 6.1096e-02 fft_pixel_x4_opt: 4.7360e-02 +2025-11-01 01:42:30,241 INFO: [29..][epoch: 0, step: 17,300, lr:(2.000e-04,)] [eta: 20:53:20, time (data): 0.666 (0.000)] eagle_pixel_x2_opt: 4.4429e+00 l1_pixel_x2_opt: 6.0838e-02 fft_pixel_x2_opt: 4.2174e-02 eagle_pixel_x4_opt: 6.4227e+00 l1_pixel_x4_opt: 5.6981e-02 fft_pixel_x4_opt: 4.5945e-02 +2025-11-01 01:43:36,214 INFO: [29..][epoch: 0, step: 17,400, lr:(2.000e-04,)] [eta: 20:51:47, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.1614e+00 l1_pixel_x2_opt: 5.3321e-02 fft_pixel_x2_opt: 4.0455e-02 eagle_pixel_x4_opt: 6.1627e+00 l1_pixel_x4_opt: 5.1071e-02 fft_pixel_x4_opt: 4.3077e-02 +2025-11-01 01:44:41,489 INFO: [29..][epoch: 0, step: 17,500, lr:(2.000e-04,)] [eta: 20:50:09, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 4.9692e+00 l1_pixel_x2_opt: 6.2398e-02 fft_pixel_x2_opt: 4.5093e-02 eagle_pixel_x4_opt: 6.2453e+00 l1_pixel_x4_opt: 5.9140e-02 fft_pixel_x4_opt: 4.7816e-02 +2025-11-01 01:44:41,490 INFO: Saving models and training states. +2025-11-01 01:45:48,824 INFO: [29..][epoch: 0, step: 17,600, lr:(2.000e-04,)] [eta: 20:48:44, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 7.1345e+00 l1_pixel_x2_opt: 7.0829e-02 fft_pixel_x2_opt: 5.1650e-02 eagle_pixel_x4_opt: 9.1898e+00 l1_pixel_x4_opt: 6.7609e-02 fft_pixel_x4_opt: 5.4931e-02 +2025-11-01 01:46:54,459 INFO: [29..][epoch: 0, step: 17,700, lr:(2.000e-04,)] [eta: 20:47:09, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.8035e+00 l1_pixel_x2_opt: 4.9730e-02 fft_pixel_x2_opt: 3.3809e-02 eagle_pixel_x4_opt: 5.3764e+00 l1_pixel_x4_opt: 4.7241e-02 fft_pixel_x4_opt: 3.7544e-02 +2025-11-01 01:48:00,220 INFO: [29..][epoch: 0, step: 17,800, lr:(2.000e-04,)] [eta: 20:45:36, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.6187e+00 l1_pixel_x2_opt: 4.6806e-02 fft_pixel_x2_opt: 3.2713e-02 eagle_pixel_x4_opt: 4.3311e+00 l1_pixel_x4_opt: 4.5151e-02 fft_pixel_x4_opt: 3.5431e-02 +2025-11-01 01:49:05,792 INFO: [29..][epoch: 0, step: 17,900, lr:(2.000e-04,)] [eta: 20:44:01, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.9787e+00 l1_pixel_x2_opt: 5.2331e-02 fft_pixel_x2_opt: 3.5860e-02 eagle_pixel_x4_opt: 4.4190e+00 l1_pixel_x4_opt: 4.9466e-02 fft_pixel_x4_opt: 3.8337e-02 +2025-11-01 01:50:11,742 INFO: [29..][epoch: 0, step: 18,000, lr:(2.000e-04,)] [eta: 20:42:29, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.2827e+00 l1_pixel_x2_opt: 6.3120e-02 fft_pixel_x2_opt: 4.5252e-02 eagle_pixel_x4_opt: 6.1265e+00 l1_pixel_x4_opt: 5.7694e-02 fft_pixel_x4_opt: 4.7581e-02 +2025-11-01 01:51:17,408 INFO: [29..][epoch: 0, step: 18,100, lr:(2.000e-04,)] [eta: 20:40:56, time (data): 0.671 (0.000)] eagle_pixel_x2_opt: 4.4076e+00 l1_pixel_x2_opt: 5.0193e-02 fft_pixel_x2_opt: 3.6067e-02 eagle_pixel_x4_opt: 5.9686e+00 l1_pixel_x4_opt: 4.6894e-02 fft_pixel_x4_opt: 3.8212e-02 +2025-11-01 01:52:23,371 INFO: [29..][epoch: 0, step: 18,200, lr:(2.000e-04,)] [eta: 20:39:25, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.9794e+00 l1_pixel_x2_opt: 6.0952e-02 fft_pixel_x2_opt: 4.4270e-02 eagle_pixel_x4_opt: 6.2552e+00 l1_pixel_x4_opt: 5.6949e-02 fft_pixel_x4_opt: 4.7070e-02 +2025-11-01 01:53:29,385 INFO: [29..][epoch: 0, step: 18,300, lr:(2.000e-04,)] [eta: 20:37:54, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.7380e+00 l1_pixel_x2_opt: 6.7267e-02 fft_pixel_x2_opt: 4.6637e-02 eagle_pixel_x4_opt: 6.9894e+00 l1_pixel_x4_opt: 6.4625e-02 fft_pixel_x4_opt: 4.7816e-02 +2025-11-01 01:54:35,466 INFO: [29..][epoch: 0, step: 18,400, lr:(2.000e-04,)] [eta: 20:36:24, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.1342e+00 l1_pixel_x2_opt: 5.4791e-02 fft_pixel_x2_opt: 4.0894e-02 eagle_pixel_x4_opt: 5.9645e+00 l1_pixel_x4_opt: 5.0597e-02 fft_pixel_x4_opt: 4.2318e-02 +2025-11-01 01:55:41,235 INFO: [29..][epoch: 0, step: 18,500, lr:(2.000e-04,)] [eta: 20:34:52, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 3.9264e+00 l1_pixel_x2_opt: 4.2758e-02 fft_pixel_x2_opt: 3.2579e-02 eagle_pixel_x4_opt: 5.1367e+00 l1_pixel_x4_opt: 3.9499e-02 fft_pixel_x4_opt: 3.4439e-02 +2025-11-01 01:56:46,779 INFO: [29..][epoch: 0, step: 18,600, lr:(2.000e-04,)] [eta: 20:33:20, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.8193e+00 l1_pixel_x2_opt: 7.0801e-02 fft_pixel_x2_opt: 4.9963e-02 eagle_pixel_x4_opt: 7.7891e+00 l1_pixel_x4_opt: 6.5247e-02 fft_pixel_x4_opt: 5.2875e-02 +2025-11-01 01:57:52,332 INFO: [29..][epoch: 0, step: 18,700, lr:(2.000e-04,)] [eta: 20:31:47, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.1003e+00 l1_pixel_x2_opt: 5.1757e-02 fft_pixel_x2_opt: 3.8643e-02 eagle_pixel_x4_opt: 6.1577e+00 l1_pixel_x4_opt: 4.7101e-02 fft_pixel_x4_opt: 4.2303e-02 +2025-11-01 01:58:58,058 INFO: [29..][epoch: 0, step: 18,800, lr:(2.000e-04,)] [eta: 20:30:16, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.5597e+00 l1_pixel_x2_opt: 5.9797e-02 fft_pixel_x2_opt: 4.4013e-02 eagle_pixel_x4_opt: 6.2029e+00 l1_pixel_x4_opt: 5.4455e-02 fft_pixel_x4_opt: 4.4597e-02 +2025-11-01 02:00:04,019 INFO: [29..][epoch: 0, step: 18,900, lr:(2.000e-04,)] [eta: 20:28:47, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.7629e+00 l1_pixel_x2_opt: 6.0321e-02 fft_pixel_x2_opt: 4.2823e-02 eagle_pixel_x4_opt: 6.6960e+00 l1_pixel_x4_opt: 5.5597e-02 fft_pixel_x4_opt: 4.4155e-02 +2025-11-01 02:01:10,141 INFO: [29..][epoch: 0, step: 19,000, lr:(2.000e-04,)] [eta: 20:27:19, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.1989e+00 l1_pixel_x2_opt: 6.0767e-02 fft_pixel_x2_opt: 4.3467e-02 eagle_pixel_x4_opt: 6.4467e+00 l1_pixel_x4_opt: 5.7505e-02 fft_pixel_x4_opt: 4.6703e-02 +2025-11-01 02:02:15,419 INFO: [29..][epoch: 0, step: 19,100, lr:(2.000e-04,)] [eta: 20:25:46, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 5.7203e+00 l1_pixel_x2_opt: 6.5459e-02 fft_pixel_x2_opt: 4.6986e-02 eagle_pixel_x4_opt: 6.9794e+00 l1_pixel_x4_opt: 6.2997e-02 fft_pixel_x4_opt: 4.8920e-02 +2025-11-01 02:03:22,209 INFO: [29..][epoch: 0, step: 19,200, lr:(2.000e-04,)] [eta: 20:24:22, time (data): 0.668 (0.000)] eagle_pixel_x2_opt: 3.8363e+00 l1_pixel_x2_opt: 5.0381e-02 fft_pixel_x2_opt: 3.6431e-02 eagle_pixel_x4_opt: 5.2971e+00 l1_pixel_x4_opt: 4.7427e-02 fft_pixel_x4_opt: 4.0290e-02 +2025-11-01 02:04:27,697 INFO: [29..][epoch: 0, step: 19,300, lr:(2.000e-04,)] [eta: 20:22:51, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.9448e+00 l1_pixel_x2_opt: 7.8514e-02 fft_pixel_x2_opt: 5.3719e-02 eagle_pixel_x4_opt: 9.1702e+00 l1_pixel_x4_opt: 7.3201e-02 fft_pixel_x4_opt: 5.6272e-02 +2025-11-01 02:05:33,574 INFO: [29..][epoch: 0, step: 19,400, lr:(2.000e-04,)] [eta: 20:21:22, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.3856e+00 l1_pixel_x2_opt: 5.9175e-02 fft_pixel_x2_opt: 4.1134e-02 eagle_pixel_x4_opt: 5.3116e+00 l1_pixel_x4_opt: 5.5784e-02 fft_pixel_x4_opt: 4.3471e-02 +2025-11-01 02:06:40,081 INFO: [29..][epoch: 0, step: 19,500, lr:(2.000e-04,)] [eta: 20:19:57, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.8871e+00 l1_pixel_x2_opt: 5.5259e-02 fft_pixel_x2_opt: 4.1079e-02 eagle_pixel_x4_opt: 5.3124e+00 l1_pixel_x4_opt: 5.2258e-02 fft_pixel_x4_opt: 4.3138e-02 +2025-11-01 02:07:46,003 INFO: [29..][epoch: 0, step: 19,600, lr:(2.000e-04,)] [eta: 20:18:29, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.6408e+00 l1_pixel_x2_opt: 6.8157e-02 fft_pixel_x2_opt: 4.7931e-02 eagle_pixel_x4_opt: 8.1483e+00 l1_pixel_x4_opt: 6.2484e-02 fft_pixel_x4_opt: 4.9699e-02 +2025-11-01 02:08:51,943 INFO: [29..][epoch: 0, step: 19,700, lr:(2.000e-04,)] [eta: 20:17:01, time (data): 0.667 (0.000)] eagle_pixel_x2_opt: 5.3329e+00 l1_pixel_x2_opt: 6.9126e-02 fft_pixel_x2_opt: 4.9359e-02 eagle_pixel_x4_opt: 6.3305e+00 l1_pixel_x4_opt: 6.3348e-02 fft_pixel_x4_opt: 5.0687e-02 +2025-11-01 02:09:57,238 INFO: [29..][epoch: 0, step: 19,800, lr:(2.000e-04,)] [eta: 20:15:31, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.7961e+00 l1_pixel_x2_opt: 5.9315e-02 fft_pixel_x2_opt: 4.2001e-02 eagle_pixel_x4_opt: 6.2032e+00 l1_pixel_x4_opt: 5.4845e-02 fft_pixel_x4_opt: 4.3419e-02 +2025-11-01 02:11:03,205 INFO: [29..][epoch: 0, step: 19,900, lr:(2.000e-04,)] [eta: 20:14:04, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.7367e+00 l1_pixel_x2_opt: 5.8382e-02 fft_pixel_x2_opt: 4.2500e-02 eagle_pixel_x4_opt: 6.0997e+00 l1_pixel_x4_opt: 5.4636e-02 fft_pixel_x4_opt: 4.5125e-02 +2025-11-01 02:12:09,563 INFO: [29..][epoch: 0, step: 20,000, lr:(2.000e-04,)] [eta: 20:12:39, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 7.1914e+00 l1_pixel_x2_opt: 6.5967e-02 fft_pixel_x2_opt: 4.7133e-02 eagle_pixel_x4_opt: 9.8419e+00 l1_pixel_x4_opt: 6.5670e-02 fft_pixel_x4_opt: 5.0930e-02 +2025-11-01 02:12:09,564 INFO: Saving models and training states. +2025-11-01 02:13:31,283 INFO: Validation val_x2 + # l1_latent: 1.5028 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.7748 Best: 27.7748 @ 20000 iter + +2025-11-01 02:15:52,229 INFO: Validation val_x4 + # l1_latent: 1.6827 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3890 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.7900 Best: 27.7900 @ 20000 iter + +2025-11-01 02:16:57,732 INFO: [29..][epoch: 0, step: 20,100, lr:(2.000e-04,)] [eta: 20:30:32, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.3102e+00 l1_pixel_x2_opt: 6.0241e-02 fft_pixel_x2_opt: 3.8712e-02 eagle_pixel_x4_opt: 7.2449e+00 l1_pixel_x4_opt: 6.2533e-02 fft_pixel_x4_opt: 4.6492e-02 +2025-11-01 02:18:03,853 INFO: [29..][epoch: 0, step: 20,200, lr:(2.000e-04,)] [eta: 20:28:59, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.9813e+00 l1_pixel_x2_opt: 5.4756e-02 fft_pixel_x2_opt: 3.9032e-02 eagle_pixel_x4_opt: 6.6670e+00 l1_pixel_x4_opt: 5.3202e-02 fft_pixel_x4_opt: 4.3727e-02 +2025-11-01 02:19:09,600 INFO: [29..][epoch: 0, step: 20,300, lr:(2.000e-04,)] [eta: 20:27:25, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.4570e+00 l1_pixel_x2_opt: 5.4984e-02 fft_pixel_x2_opt: 4.2704e-02 eagle_pixel_x4_opt: 6.5818e+00 l1_pixel_x4_opt: 4.9177e-02 fft_pixel_x4_opt: 4.5089e-02 +2025-11-01 02:20:15,475 INFO: [29..][epoch: 0, step: 20,400, lr:(2.000e-04,)] [eta: 20:25:52, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.7895e+00 l1_pixel_x2_opt: 5.5830e-02 fft_pixel_x2_opt: 3.9042e-02 eagle_pixel_x4_opt: 6.5279e+00 l1_pixel_x4_opt: 5.2778e-02 fft_pixel_x4_opt: 4.2405e-02 +2025-11-01 02:21:20,986 INFO: [29..][epoch: 0, step: 20,500, lr:(2.000e-04,)] [eta: 20:24:17, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.5328e+00 l1_pixel_x2_opt: 5.3156e-02 fft_pixel_x2_opt: 3.6672e-02 eagle_pixel_x4_opt: 5.7946e+00 l1_pixel_x4_opt: 4.8930e-02 fft_pixel_x4_opt: 3.9779e-02 +2025-11-01 02:22:26,349 INFO: [29..][epoch: 0, step: 20,600, lr:(2.000e-04,)] [eta: 20:22:42, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.2220e+00 l1_pixel_x2_opt: 6.8066e-02 fft_pixel_x2_opt: 4.7624e-02 eagle_pixel_x4_opt: 5.7295e+00 l1_pixel_x4_opt: 6.2017e-02 fft_pixel_x4_opt: 4.8962e-02 +2025-11-01 02:23:32,517 INFO: [29..][epoch: 0, step: 20,700, lr:(2.000e-04,)] [eta: 20:21:11, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9750e+00 l1_pixel_x2_opt: 5.7574e-02 fft_pixel_x2_opt: 3.8805e-02 eagle_pixel_x4_opt: 4.9849e+00 l1_pixel_x4_opt: 5.2454e-02 fft_pixel_x4_opt: 4.1521e-02 +2025-11-01 02:24:38,383 INFO: [29..][epoch: 0, step: 20,800, lr:(2.000e-04,)] [eta: 20:19:38, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 8.0676e+00 l1_pixel_x2_opt: 6.7455e-02 fft_pixel_x2_opt: 5.0457e-02 eagle_pixel_x4_opt: 9.9227e+00 l1_pixel_x4_opt: 6.3198e-02 fft_pixel_x4_opt: 5.3140e-02 +2025-11-01 02:25:44,209 INFO: [29..][epoch: 0, step: 20,900, lr:(2.000e-04,)] [eta: 20:18:06, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.7897e+00 l1_pixel_x2_opt: 7.1933e-02 fft_pixel_x2_opt: 5.0523e-02 eagle_pixel_x4_opt: 6.9836e+00 l1_pixel_x4_opt: 6.7541e-02 fft_pixel_x4_opt: 5.3303e-02 +2025-11-01 02:26:50,541 INFO: [29..][epoch: 0, step: 21,000, lr:(2.000e-04,)] [eta: 20:16:37, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 4.4561e+00 l1_pixel_x2_opt: 5.5710e-02 fft_pixel_x2_opt: 4.0258e-02 eagle_pixel_x4_opt: 5.9288e+00 l1_pixel_x4_opt: 5.1749e-02 fft_pixel_x4_opt: 4.2953e-02 +2025-11-01 02:27:56,663 INFO: [29..][epoch: 0, step: 21,100, lr:(2.000e-04,)] [eta: 20:15:07, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.6130e+00 l1_pixel_x2_opt: 6.2957e-02 fft_pixel_x2_opt: 4.5101e-02 eagle_pixel_x4_opt: 7.7512e+00 l1_pixel_x4_opt: 6.4585e-02 fft_pixel_x4_opt: 5.0834e-02 +2025-11-01 02:29:02,652 INFO: [29..][epoch: 0, step: 21,200, lr:(2.000e-04,)] [eta: 20:13:36, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.9105e+00 l1_pixel_x2_opt: 5.4665e-02 fft_pixel_x2_opt: 4.0229e-02 eagle_pixel_x4_opt: 6.1007e+00 l1_pixel_x4_opt: 5.2363e-02 fft_pixel_x4_opt: 4.3333e-02 +2025-11-01 02:30:08,294 INFO: [29..][epoch: 0, step: 21,300, lr:(2.000e-04,)] [eta: 20:12:04, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.7730e+00 l1_pixel_x2_opt: 5.6783e-02 fft_pixel_x2_opt: 4.1156e-02 eagle_pixel_x4_opt: 6.4966e+00 l1_pixel_x4_opt: 5.3696e-02 fft_pixel_x4_opt: 4.4173e-02 +2025-11-01 02:31:14,360 INFO: [29..][epoch: 0, step: 21,400, lr:(2.000e-04,)] [eta: 20:10:34, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.7965e+00 l1_pixel_x2_opt: 7.1138e-02 fft_pixel_x2_opt: 4.8618e-02 eagle_pixel_x4_opt: 6.8264e+00 l1_pixel_x4_opt: 6.6507e-02 fft_pixel_x4_opt: 4.9652e-02 +2025-11-01 02:32:19,934 INFO: [29..][epoch: 0, step: 21,500, lr:(2.000e-04,)] [eta: 20:09:02, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9771e+00 l1_pixel_x2_opt: 5.6826e-02 fft_pixel_x2_opt: 3.8241e-02 eagle_pixel_x4_opt: 5.5315e+00 l1_pixel_x4_opt: 5.2421e-02 fft_pixel_x4_opt: 3.9955e-02 +2025-11-01 02:33:25,446 INFO: [29..][epoch: 0, step: 21,600, lr:(2.000e-04,)] [eta: 20:07:30, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.8990e+00 l1_pixel_x2_opt: 6.1313e-02 fft_pixel_x2_opt: 4.2795e-02 eagle_pixel_x4_opt: 6.9241e+00 l1_pixel_x4_opt: 5.7897e-02 fft_pixel_x4_opt: 4.6056e-02 +2025-11-01 02:34:31,390 INFO: [29..][epoch: 0, step: 21,700, lr:(2.000e-04,)] [eta: 20:06:00, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.8378e+00 l1_pixel_x2_opt: 6.1512e-02 fft_pixel_x2_opt: 4.2486e-02 eagle_pixel_x4_opt: 5.5970e+00 l1_pixel_x4_opt: 5.7839e-02 fft_pixel_x4_opt: 4.4580e-02 +2025-11-01 02:35:37,107 INFO: [29..][epoch: 0, step: 21,800, lr:(2.000e-04,)] [eta: 20:04:30, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.3260e+00 l1_pixel_x2_opt: 6.4489e-02 fft_pixel_x2_opt: 4.8594e-02 eagle_pixel_x4_opt: 6.8762e+00 l1_pixel_x4_opt: 6.0941e-02 fft_pixel_x4_opt: 5.1166e-02 +2025-11-01 02:36:42,477 INFO: [29..][epoch: 0, step: 21,900, lr:(2.000e-04,)] [eta: 20:02:58, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 7.1564e+00 l1_pixel_x2_opt: 7.3726e-02 fft_pixel_x2_opt: 5.1381e-02 eagle_pixel_x4_opt: 8.6638e+00 l1_pixel_x4_opt: 7.2010e-02 fft_pixel_x4_opt: 5.5076e-02 +2025-11-01 02:37:47,942 INFO: [29..][epoch: 0, step: 22,000, lr:(2.000e-04,)] [eta: 20:01:27, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.6059e+00 l1_pixel_x2_opt: 5.9675e-02 fft_pixel_x2_opt: 4.5324e-02 eagle_pixel_x4_opt: 9.3011e+00 l1_pixel_x4_opt: 5.7359e-02 fft_pixel_x4_opt: 4.9574e-02 +2025-11-01 02:38:53,849 INFO: [29..][epoch: 0, step: 22,100, lr:(2.000e-04,)] [eta: 19:59:58, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.8142e+00 l1_pixel_x2_opt: 5.3712e-02 fft_pixel_x2_opt: 3.8136e-02 eagle_pixel_x4_opt: 5.1632e+00 l1_pixel_x4_opt: 4.9161e-02 fft_pixel_x4_opt: 4.0855e-02 +2025-11-01 02:39:59,343 INFO: [29..][epoch: 0, step: 22,200, lr:(2.000e-04,)] [eta: 19:58:27, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 3.5857e+00 l1_pixel_x2_opt: 5.2366e-02 fft_pixel_x2_opt: 3.5320e-02 eagle_pixel_x4_opt: 4.5623e+00 l1_pixel_x4_opt: 4.8400e-02 fft_pixel_x4_opt: 3.6734e-02 +2025-11-01 02:41:04,838 INFO: [29..][epoch: 0, step: 22,300, lr:(2.000e-04,)] [eta: 19:56:57, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.5393e+00 l1_pixel_x2_opt: 6.3177e-02 fft_pixel_x2_opt: 4.5464e-02 eagle_pixel_x4_opt: 6.0447e+00 l1_pixel_x4_opt: 5.8432e-02 fft_pixel_x4_opt: 4.6705e-02 +2025-11-01 02:42:10,277 INFO: [29..][epoch: 0, step: 22,400, lr:(2.000e-04,)] [eta: 19:55:26, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 2.7852e+00 l1_pixel_x2_opt: 4.2113e-02 fft_pixel_x2_opt: 2.8163e-02 eagle_pixel_x4_opt: 3.9863e+00 l1_pixel_x4_opt: 4.0240e-02 fft_pixel_x4_opt: 3.1597e-02 +2025-11-01 02:43:15,778 INFO: [29..][epoch: 0, step: 22,500, lr:(2.000e-04,)] [eta: 19:53:56, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.1818e+00 l1_pixel_x2_opt: 5.9355e-02 fft_pixel_x2_opt: 4.0262e-02 eagle_pixel_x4_opt: 6.3865e+00 l1_pixel_x4_opt: 5.5303e-02 fft_pixel_x4_opt: 4.3141e-02 +2025-11-01 02:43:15,780 INFO: Saving models and training states. +2025-11-01 02:44:22,788 INFO: [29..][epoch: 0, step: 22,600, lr:(2.000e-04,)] [eta: 19:52:33, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.6179e+00 l1_pixel_x2_opt: 5.5558e-02 fft_pixel_x2_opt: 3.9098e-02 eagle_pixel_x4_opt: 5.5930e+00 l1_pixel_x4_opt: 5.2089e-02 fft_pixel_x4_opt: 4.2563e-02 +2025-11-01 02:45:28,486 INFO: [29..][epoch: 0, step: 22,700, lr:(2.000e-04,)] [eta: 19:51:04, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.6270e+00 l1_pixel_x2_opt: 6.2920e-02 fft_pixel_x2_opt: 4.4344e-02 eagle_pixel_x4_opt: 7.0785e+00 l1_pixel_x4_opt: 5.9339e-02 fft_pixel_x4_opt: 4.6210e-02 +2025-11-01 02:46:33,716 INFO: [29..][epoch: 0, step: 22,800, lr:(2.000e-04,)] [eta: 19:49:34, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 3.7680e+00 l1_pixel_x2_opt: 4.6992e-02 fft_pixel_x2_opt: 3.4593e-02 eagle_pixel_x4_opt: 4.7925e+00 l1_pixel_x4_opt: 4.3661e-02 fft_pixel_x4_opt: 3.7180e-02 +2025-11-01 02:47:39,567 INFO: [29..][epoch: 0, step: 22,900, lr:(2.000e-04,)] [eta: 19:48:06, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.9245e+00 l1_pixel_x2_opt: 5.4356e-02 fft_pixel_x2_opt: 3.9377e-02 eagle_pixel_x4_opt: 5.8457e+00 l1_pixel_x4_opt: 4.8708e-02 fft_pixel_x4_opt: 4.1788e-02 +2025-11-01 02:48:45,209 INFO: [29..][epoch: 0, step: 23,000, lr:(2.000e-04,)] [eta: 19:46:38, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.6716e+00 l1_pixel_x2_opt: 5.4240e-02 fft_pixel_x2_opt: 3.7230e-02 eagle_pixel_x4_opt: 4.8269e+00 l1_pixel_x4_opt: 5.1114e-02 fft_pixel_x4_opt: 3.9429e-02 +2025-11-01 02:49:51,378 INFO: [29..][epoch: 0, step: 23,100, lr:(2.000e-04,)] [eta: 19:45:12, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.1712e+00 l1_pixel_x2_opt: 5.0809e-02 fft_pixel_x2_opt: 3.5918e-02 eagle_pixel_x4_opt: 4.9733e+00 l1_pixel_x4_opt: 4.8681e-02 fft_pixel_x4_opt: 3.8429e-02 +2025-11-01 02:50:57,339 INFO: [29..][epoch: 0, step: 23,200, lr:(2.000e-04,)] [eta: 19:43:45, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.0556e+00 l1_pixel_x2_opt: 5.7764e-02 fft_pixel_x2_opt: 3.6668e-02 eagle_pixel_x4_opt: 5.3725e+00 l1_pixel_x4_opt: 5.5426e-02 fft_pixel_x4_opt: 3.7477e-02 +2025-11-01 02:52:09,170 INFO: [29..][epoch: 0, step: 23,300, lr:(2.000e-04,)] [eta: 19:42:45, time (data): 0.691 (0.000)] eagle_pixel_x2_opt: 4.8754e+00 l1_pixel_x2_opt: 5.9084e-02 fft_pixel_x2_opt: 4.1432e-02 eagle_pixel_x4_opt: 5.4190e+00 l1_pixel_x4_opt: 5.4913e-02 fft_pixel_x4_opt: 4.3538e-02 +2025-11-01 02:53:20,844 INFO: [29..][epoch: 0, step: 23,400, lr:(2.000e-04,)] [eta: 19:41:43, time (data): 0.727 (0.000)] eagle_pixel_x2_opt: 6.2763e+00 l1_pixel_x2_opt: 7.4388e-02 fft_pixel_x2_opt: 5.1000e-02 eagle_pixel_x4_opt: 6.6479e+00 l1_pixel_x4_opt: 6.8321e-02 fft_pixel_x4_opt: 5.1048e-02 +2025-11-01 02:54:26,277 INFO: [29..][epoch: 0, step: 23,500, lr:(2.000e-04,)] [eta: 19:40:14, time (data): 0.688 (0.000)] eagle_pixel_x2_opt: 5.7731e+00 l1_pixel_x2_opt: 6.9909e-02 fft_pixel_x2_opt: 4.9826e-02 eagle_pixel_x4_opt: 6.0638e+00 l1_pixel_x4_opt: 6.5179e-02 fft_pixel_x4_opt: 5.1305e-02 +2025-11-01 02:55:32,163 INFO: [29..][epoch: 0, step: 23,600, lr:(2.000e-04,)] [eta: 19:38:48, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.2538e+00 l1_pixel_x2_opt: 5.7921e-02 fft_pixel_x2_opt: 4.4381e-02 eagle_pixel_x4_opt: 5.7549e+00 l1_pixel_x4_opt: 5.1986e-02 fft_pixel_x4_opt: 4.6996e-02 +2025-11-01 02:56:37,988 INFO: [29..][epoch: 0, step: 23,700, lr:(2.000e-04,)] [eta: 19:37:21, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.3422e+00 l1_pixel_x2_opt: 5.2669e-02 fft_pixel_x2_opt: 3.8868e-02 eagle_pixel_x4_opt: 5.2908e+00 l1_pixel_x4_opt: 4.7628e-02 fft_pixel_x4_opt: 4.2253e-02 +2025-11-01 02:57:43,914 INFO: [29..][epoch: 0, step: 23,800, lr:(2.000e-04,)] [eta: 19:35:56, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.5231e+00 l1_pixel_x2_opt: 5.1560e-02 fft_pixel_x2_opt: 3.3252e-02 eagle_pixel_x4_opt: 5.0789e+00 l1_pixel_x4_opt: 4.9711e-02 fft_pixel_x4_opt: 3.7141e-02 +2025-11-01 02:58:49,391 INFO: [29..][epoch: 0, step: 23,900, lr:(2.000e-04,)] [eta: 19:34:28, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.8871e+00 l1_pixel_x2_opt: 7.2917e-02 fft_pixel_x2_opt: 4.7403e-02 eagle_pixel_x4_opt: 7.7898e+00 l1_pixel_x4_opt: 7.1052e-02 fft_pixel_x4_opt: 5.0058e-02 +2025-11-01 02:59:55,529 INFO: [29..][epoch: 0, step: 24,000, lr:(2.000e-04,)] [eta: 19:33:03, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.2197e+00 l1_pixel_x2_opt: 6.3954e-02 fft_pixel_x2_opt: 4.3107e-02 eagle_pixel_x4_opt: 6.4699e+00 l1_pixel_x4_opt: 5.9576e-02 fft_pixel_x4_opt: 4.4995e-02 +2025-11-01 03:01:01,740 INFO: [29..][epoch: 0, step: 24,100, lr:(2.000e-04,)] [eta: 19:31:39, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.2675e+00 l1_pixel_x2_opt: 6.4870e-02 fft_pixel_x2_opt: 4.6219e-02 eagle_pixel_x4_opt: 6.1899e+00 l1_pixel_x4_opt: 6.0474e-02 fft_pixel_x4_opt: 4.8228e-02 +2025-11-01 03:02:15,004 INFO: [29..][epoch: 0, step: 24,200, lr:(2.000e-04,)] [eta: 19:30:44, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.5054e+00 l1_pixel_x2_opt: 5.5414e-02 fft_pixel_x2_opt: 3.5650e-02 eagle_pixel_x4_opt: 4.5325e+00 l1_pixel_x4_opt: 5.2490e-02 fft_pixel_x4_opt: 3.7987e-02 +2025-11-01 03:03:20,630 INFO: [29..][epoch: 0, step: 24,300, lr:(2.000e-04,)] [eta: 19:29:18, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.8201e+00 l1_pixel_x2_opt: 5.8583e-02 fft_pixel_x2_opt: 4.3485e-02 eagle_pixel_x4_opt: 5.2318e+00 l1_pixel_x4_opt: 5.2861e-02 fft_pixel_x4_opt: 4.5272e-02 +2025-11-01 03:04:26,512 INFO: [29..][epoch: 0, step: 24,400, lr:(2.000e-04,)] [eta: 19:27:52, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.5431e+00 l1_pixel_x2_opt: 5.3077e-02 fft_pixel_x2_opt: 3.8074e-02 eagle_pixel_x4_opt: 5.6539e+00 l1_pixel_x4_opt: 5.0079e-02 fft_pixel_x4_opt: 4.0422e-02 +2025-11-01 03:05:32,333 INFO: [29..][epoch: 0, step: 24,500, lr:(2.000e-04,)] [eta: 19:26:27, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.5864e+00 l1_pixel_x2_opt: 5.9903e-02 fft_pixel_x2_opt: 4.1994e-02 eagle_pixel_x4_opt: 6.0424e+00 l1_pixel_x4_opt: 5.6770e-02 fft_pixel_x4_opt: 4.4507e-02 +2025-11-01 03:06:37,541 INFO: [29..][epoch: 0, step: 24,600, lr:(2.000e-04,)] [eta: 19:24:59, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 4.3456e+00 l1_pixel_x2_opt: 5.1566e-02 fft_pixel_x2_opt: 3.7212e-02 eagle_pixel_x4_opt: 5.6409e+00 l1_pixel_x4_opt: 4.7745e-02 fft_pixel_x4_opt: 4.0300e-02 +2025-11-01 03:07:43,858 INFO: [29..][epoch: 0, step: 24,700, lr:(2.000e-04,)] [eta: 19:23:36, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.2941e+00 l1_pixel_x2_opt: 6.1325e-02 fft_pixel_x2_opt: 4.6571e-02 eagle_pixel_x4_opt: 6.7797e+00 l1_pixel_x4_opt: 5.8686e-02 fft_pixel_x4_opt: 4.7587e-02 +2025-11-01 03:08:49,665 INFO: [29..][epoch: 0, step: 24,800, lr:(2.000e-04,)] [eta: 19:22:11, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.8404e+00 l1_pixel_x2_opt: 4.9277e-02 fft_pixel_x2_opt: 3.4762e-02 eagle_pixel_x4_opt: 5.3502e+00 l1_pixel_x4_opt: 4.8029e-02 fft_pixel_x4_opt: 3.7313e-02 +2025-11-01 03:09:55,393 INFO: [29..][epoch: 0, step: 24,900, lr:(2.000e-04,)] [eta: 19:20:46, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.7958e+00 l1_pixel_x2_opt: 5.6648e-02 fft_pixel_x2_opt: 3.7973e-02 eagle_pixel_x4_opt: 6.0720e+00 l1_pixel_x4_opt: 5.5187e-02 fft_pixel_x4_opt: 3.9876e-02 +2025-11-01 03:11:00,800 INFO: [29..][epoch: 0, step: 25,000, lr:(2.000e-04,)] [eta: 19:19:20, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.3059e+00 l1_pixel_x2_opt: 5.5585e-02 fft_pixel_x2_opt: 4.3494e-02 eagle_pixel_x4_opt: 6.0030e+00 l1_pixel_x4_opt: 5.1561e-02 fft_pixel_x4_opt: 4.6233e-02 +2025-11-01 03:11:00,801 INFO: Saving models and training states. +2025-11-01 03:12:18,935 INFO: Validation val_x2 + # l1_latent: 1.4933 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.7998 Best: 27.7998 @ 25000 iter + +2025-11-01 03:14:51,859 INFO: Validation val_x4 + # l1_latent: 1.6713 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3339 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.8392 Best: 27.8392 @ 25000 iter + +2025-11-01 03:15:57,734 INFO: [29..][epoch: 0, step: 25,100, lr:(2.000e-04,)] [eta: 19:33:15, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.9054e+00 l1_pixel_x2_opt: 7.1440e-02 fft_pixel_x2_opt: 5.0489e-02 eagle_pixel_x4_opt: 7.7850e+00 l1_pixel_x4_opt: 6.5218e-02 fft_pixel_x4_opt: 5.1531e-02 +2025-11-01 03:17:03,451 INFO: [29..][epoch: 0, step: 25,200, lr:(2.000e-04,)] [eta: 19:31:46, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 6.8513e+00 l1_pixel_x2_opt: 7.2655e-02 fft_pixel_x2_opt: 5.3384e-02 eagle_pixel_x4_opt: 8.4417e+00 l1_pixel_x4_opt: 6.7595e-02 fft_pixel_x4_opt: 5.6491e-02 +2025-11-01 03:18:09,064 INFO: [29..][epoch: 0, step: 25,300, lr:(2.000e-04,)] [eta: 19:30:16, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.4361e+00 l1_pixel_x2_opt: 5.7252e-02 fft_pixel_x2_opt: 4.1831e-02 eagle_pixel_x4_opt: 5.3249e+00 l1_pixel_x4_opt: 5.2611e-02 fft_pixel_x4_opt: 4.3813e-02 +2025-11-01 03:19:14,651 INFO: [29..][epoch: 0, step: 25,400, lr:(2.000e-04,)] [eta: 19:28:47, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.5320e+00 l1_pixel_x2_opt: 4.5684e-02 fft_pixel_x2_opt: 3.3493e-02 eagle_pixel_x4_opt: 4.2264e+00 l1_pixel_x4_opt: 4.2414e-02 fft_pixel_x4_opt: 3.6174e-02 +2025-11-01 03:20:20,448 INFO: [29..][epoch: 0, step: 25,500, lr:(2.000e-04,)] [eta: 19:27:19, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.8058e+00 l1_pixel_x2_opt: 6.0543e-02 fft_pixel_x2_opt: 4.2895e-02 eagle_pixel_x4_opt: 8.4695e+00 l1_pixel_x4_opt: 5.9972e-02 fft_pixel_x4_opt: 4.7589e-02 +2025-11-01 03:21:26,346 INFO: [29..][epoch: 0, step: 25,600, lr:(2.000e-04,)] [eta: 19:25:51, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.2469e+00 l1_pixel_x2_opt: 6.0318e-02 fft_pixel_x2_opt: 4.5434e-02 eagle_pixel_x4_opt: 8.6991e+00 l1_pixel_x4_opt: 5.8070e-02 fft_pixel_x4_opt: 5.0311e-02 +2025-11-01 03:22:32,247 INFO: [29..][epoch: 0, step: 25,700, lr:(2.000e-04,)] [eta: 19:24:23, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 7.8866e+00 l1_pixel_x2_opt: 7.4065e-02 fft_pixel_x2_opt: 5.6075e-02 eagle_pixel_x4_opt: 9.0731e+00 l1_pixel_x4_opt: 6.8429e-02 fft_pixel_x4_opt: 5.7544e-02 +2025-11-01 03:23:38,007 INFO: [29..][epoch: 0, step: 25,800, lr:(2.000e-04,)] [eta: 19:22:55, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.1344e+00 l1_pixel_x2_opt: 6.3348e-02 fft_pixel_x2_opt: 4.4173e-02 eagle_pixel_x4_opt: 8.2822e+00 l1_pixel_x4_opt: 6.2314e-02 fft_pixel_x4_opt: 4.7849e-02 +2025-11-01 03:24:43,635 INFO: [29..][epoch: 0, step: 25,900, lr:(2.000e-04,)] [eta: 19:21:27, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.3322e+00 l1_pixel_x2_opt: 6.7013e-02 fft_pixel_x2_opt: 4.8292e-02 eagle_pixel_x4_opt: 7.2542e+00 l1_pixel_x4_opt: 6.2885e-02 fft_pixel_x4_opt: 5.0481e-02 +2025-11-01 03:25:49,389 INFO: [29..][epoch: 0, step: 26,000, lr:(2.000e-04,)] [eta: 19:19:59, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.8885e+00 l1_pixel_x2_opt: 5.5820e-02 fft_pixel_x2_opt: 4.1519e-02 eagle_pixel_x4_opt: 6.3877e+00 l1_pixel_x4_opt: 5.4464e-02 fft_pixel_x4_opt: 4.5491e-02 +2025-11-01 03:26:54,935 INFO: [29..][epoch: 0, step: 26,100, lr:(2.000e-04,)] [eta: 19:18:31, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.3878e+00 l1_pixel_x2_opt: 5.0711e-02 fft_pixel_x2_opt: 3.3262e-02 eagle_pixel_x4_opt: 4.1620e+00 l1_pixel_x4_opt: 4.6853e-02 fft_pixel_x4_opt: 3.4770e-02 +2025-11-01 03:28:00,187 INFO: [29..][epoch: 0, step: 26,200, lr:(2.000e-04,)] [eta: 19:17:01, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.2168e+00 l1_pixel_x2_opt: 7.3351e-02 fft_pixel_x2_opt: 5.0328e-02 eagle_pixel_x4_opt: 6.0437e+00 l1_pixel_x4_opt: 6.8040e-02 fft_pixel_x4_opt: 5.1389e-02 +2025-11-01 03:29:06,293 INFO: [29..][epoch: 0, step: 26,300, lr:(2.000e-04,)] [eta: 19:15:36, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.7300e+00 l1_pixel_x2_opt: 4.8643e-02 fft_pixel_x2_opt: 3.3743e-02 eagle_pixel_x4_opt: 4.0272e+00 l1_pixel_x4_opt: 4.5316e-02 fft_pixel_x4_opt: 3.5105e-02 +2025-11-01 03:30:12,061 INFO: [29..][epoch: 0, step: 26,400, lr:(2.000e-04,)] [eta: 19:14:09, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.0235e+00 l1_pixel_x2_opt: 5.4901e-02 fft_pixel_x2_opt: 3.8885e-02 eagle_pixel_x4_opt: 5.8501e+00 l1_pixel_x4_opt: 5.1463e-02 fft_pixel_x4_opt: 4.1668e-02 +2025-11-01 03:31:18,030 INFO: [29..][epoch: 0, step: 26,500, lr:(2.000e-04,)] [eta: 19:12:42, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 3.8444e+00 l1_pixel_x2_opt: 5.5139e-02 fft_pixel_x2_opt: 3.7326e-02 eagle_pixel_x4_opt: 5.5312e+00 l1_pixel_x4_opt: 5.0488e-02 fft_pixel_x4_opt: 3.9244e-02 +2025-11-01 03:32:23,472 INFO: [29..][epoch: 0, step: 26,600, lr:(2.000e-04,)] [eta: 19:11:15, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.1633e+00 l1_pixel_x2_opt: 5.4234e-02 fft_pixel_x2_opt: 3.7289e-02 eagle_pixel_x4_opt: 6.6530e+00 l1_pixel_x4_opt: 5.1414e-02 fft_pixel_x4_opt: 4.0673e-02 +2025-11-01 03:33:29,279 INFO: [29..][epoch: 0, step: 26,700, lr:(2.000e-04,)] [eta: 19:09:48, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 7.3298e+00 l1_pixel_x2_opt: 7.1289e-02 fft_pixel_x2_opt: 5.4870e-02 eagle_pixel_x4_opt: 8.7340e+00 l1_pixel_x4_opt: 6.6547e-02 fft_pixel_x4_opt: 5.8323e-02 +2025-11-01 03:34:34,829 INFO: [29..][epoch: 0, step: 26,800, lr:(2.000e-04,)] [eta: 19:08:21, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.1647e+00 l1_pixel_x2_opt: 5.5566e-02 fft_pixel_x2_opt: 3.9087e-02 eagle_pixel_x4_opt: 4.8441e+00 l1_pixel_x4_opt: 5.2018e-02 fft_pixel_x4_opt: 3.8902e-02 +2025-11-01 03:35:40,738 INFO: [29..][epoch: 0, step: 26,900, lr:(2.000e-04,)] [eta: 19:06:55, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.8835e+00 l1_pixel_x2_opt: 6.1554e-02 fft_pixel_x2_opt: 4.5387e-02 eagle_pixel_x4_opt: 7.4171e+00 l1_pixel_x4_opt: 5.7579e-02 fft_pixel_x4_opt: 4.7726e-02 +2025-11-01 03:36:46,940 INFO: [29..][epoch: 0, step: 27,000, lr:(2.000e-04,)] [eta: 19:05:31, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 3.7794e+00 l1_pixel_x2_opt: 4.6162e-02 fft_pixel_x2_opt: 3.2761e-02 eagle_pixel_x4_opt: 5.0760e+00 l1_pixel_x4_opt: 4.3745e-02 fft_pixel_x4_opt: 3.5024e-02 +2025-11-01 03:37:52,327 INFO: [29..][epoch: 0, step: 27,100, lr:(2.000e-04,)] [eta: 19:04:04, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.6952e+00 l1_pixel_x2_opt: 5.7737e-02 fft_pixel_x2_opt: 4.2408e-02 eagle_pixel_x4_opt: 6.2063e+00 l1_pixel_x4_opt: 5.4010e-02 fft_pixel_x4_opt: 4.5156e-02 +2025-11-01 03:38:58,436 INFO: [29..][epoch: 0, step: 27,200, lr:(2.000e-04,)] [eta: 19:02:39, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.9776e+00 l1_pixel_x2_opt: 6.7156e-02 fft_pixel_x2_opt: 4.5968e-02 eagle_pixel_x4_opt: 6.6815e+00 l1_pixel_x4_opt: 6.2586e-02 fft_pixel_x4_opt: 4.8603e-02 +2025-11-01 03:40:04,269 INFO: [29..][epoch: 0, step: 27,300, lr:(2.000e-04,)] [eta: 19:01:14, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.0231e+00 l1_pixel_x2_opt: 5.5225e-02 fft_pixel_x2_opt: 3.6622e-02 eagle_pixel_x4_opt: 5.6496e+00 l1_pixel_x4_opt: 5.4567e-02 fft_pixel_x4_opt: 4.1148e-02 +2025-11-01 03:41:10,223 INFO: [29..][epoch: 0, step: 27,400, lr:(2.000e-04,)] [eta: 18:59:49, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.7823e+00 l1_pixel_x2_opt: 6.0562e-02 fft_pixel_x2_opt: 3.9760e-02 eagle_pixel_x4_opt: 7.1925e+00 l1_pixel_x4_opt: 5.7736e-02 fft_pixel_x4_opt: 4.2921e-02 +2025-11-01 03:42:16,088 INFO: [29..][epoch: 0, step: 27,500, lr:(2.000e-04,)] [eta: 18:58:24, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.1995e+00 l1_pixel_x2_opt: 6.1999e-02 fft_pixel_x2_opt: 4.5053e-02 eagle_pixel_x4_opt: 7.4543e+00 l1_pixel_x4_opt: 5.7450e-02 fft_pixel_x4_opt: 5.0025e-02 +2025-11-01 03:42:16,090 INFO: Saving models and training states. +2025-11-01 03:43:23,207 INFO: [29..][epoch: 0, step: 27,600, lr:(2.000e-04,)] [eta: 18:57:04, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.2414e+00 l1_pixel_x2_opt: 5.4614e-02 fft_pixel_x2_opt: 4.0671e-02 eagle_pixel_x4_opt: 7.7144e+00 l1_pixel_x4_opt: 5.1327e-02 fft_pixel_x4_opt: 4.5775e-02 +2025-11-01 03:44:29,701 INFO: [29..][epoch: 0, step: 27,700, lr:(2.000e-04,)] [eta: 18:55:41, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 4.3531e+00 l1_pixel_x2_opt: 5.8245e-02 fft_pixel_x2_opt: 4.0380e-02 eagle_pixel_x4_opt: 5.7274e+00 l1_pixel_x4_opt: 5.5044e-02 fft_pixel_x4_opt: 4.3061e-02 +2025-11-01 03:45:35,122 INFO: [29..][epoch: 0, step: 27,800, lr:(2.000e-04,)] [eta: 18:54:15, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 3.7934e+00 l1_pixel_x2_opt: 4.9587e-02 fft_pixel_x2_opt: 3.5316e-02 eagle_pixel_x4_opt: 5.0942e+00 l1_pixel_x4_opt: 4.5691e-02 fft_pixel_x4_opt: 3.7257e-02 +2025-11-01 03:46:40,525 INFO: [29..][epoch: 0, step: 27,900, lr:(2.000e-04,)] [eta: 18:52:49, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 3.8426e+00 l1_pixel_x2_opt: 5.2700e-02 fft_pixel_x2_opt: 3.7540e-02 eagle_pixel_x4_opt: 4.7592e+00 l1_pixel_x4_opt: 4.8716e-02 fft_pixel_x4_opt: 3.8951e-02 +2025-11-01 03:47:45,974 INFO: [29..][epoch: 0, step: 28,000, lr:(2.000e-04,)] [eta: 18:51:23, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.8790e+00 l1_pixel_x2_opt: 5.0778e-02 fft_pixel_x2_opt: 3.6864e-02 eagle_pixel_x4_opt: 5.0789e+00 l1_pixel_x4_opt: 4.5869e-02 fft_pixel_x4_opt: 3.8777e-02 +2025-11-01 03:48:52,062 INFO: [29..][epoch: 0, step: 28,100, lr:(2.000e-04,)] [eta: 18:50:00, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.9316e+00 l1_pixel_x2_opt: 6.3608e-02 fft_pixel_x2_opt: 4.0935e-02 eagle_pixel_x4_opt: 5.9482e+00 l1_pixel_x4_opt: 6.2995e-02 fft_pixel_x4_opt: 4.1958e-02 +2025-11-01 03:49:57,666 INFO: [29..][epoch: 0, step: 28,200, lr:(2.000e-04,)] [eta: 18:48:35, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2032e+00 l1_pixel_x2_opt: 5.6066e-02 fft_pixel_x2_opt: 3.7980e-02 eagle_pixel_x4_opt: 5.8009e+00 l1_pixel_x4_opt: 5.0848e-02 fft_pixel_x4_opt: 3.9679e-02 +2025-11-01 03:51:03,424 INFO: [29..][epoch: 0, step: 28,300, lr:(2.000e-04,)] [eta: 18:47:10, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.4300e+00 l1_pixel_x2_opt: 5.7565e-02 fft_pixel_x2_opt: 3.9425e-02 eagle_pixel_x4_opt: 6.0366e+00 l1_pixel_x4_opt: 5.4413e-02 fft_pixel_x4_opt: 4.2360e-02 +2025-11-01 03:52:09,427 INFO: [29..][epoch: 0, step: 28,400, lr:(2.000e-04,)] [eta: 18:45:47, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.4760e+00 l1_pixel_x2_opt: 6.3370e-02 fft_pixel_x2_opt: 4.2787e-02 eagle_pixel_x4_opt: 5.2002e+00 l1_pixel_x4_opt: 5.8712e-02 fft_pixel_x4_opt: 4.3601e-02 +2025-11-01 03:53:15,091 INFO: [29..][epoch: 0, step: 28,500, lr:(2.000e-04,)] [eta: 18:44:23, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 3.6983e+00 l1_pixel_x2_opt: 5.5482e-02 fft_pixel_x2_opt: 3.8476e-02 eagle_pixel_x4_opt: 4.2886e+00 l1_pixel_x4_opt: 5.0707e-02 fft_pixel_x4_opt: 3.9245e-02 +2025-11-01 03:54:20,894 INFO: [29..][epoch: 0, step: 28,600, lr:(2.000e-04,)] [eta: 18:42:59, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.2615e+00 l1_pixel_x2_opt: 6.4787e-02 fft_pixel_x2_opt: 4.9067e-02 eagle_pixel_x4_opt: 8.3919e+00 l1_pixel_x4_opt: 5.8801e-02 fft_pixel_x4_opt: 5.1755e-02 +2025-11-01 03:55:26,498 INFO: [29..][epoch: 0, step: 28,700, lr:(2.000e-04,)] [eta: 18:41:35, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.8582e+00 l1_pixel_x2_opt: 7.2237e-02 fft_pixel_x2_opt: 5.3519e-02 eagle_pixel_x4_opt: 7.6686e+00 l1_pixel_x4_opt: 6.5215e-02 fft_pixel_x4_opt: 5.3928e-02 +2025-11-01 03:56:32,578 INFO: [29..][epoch: 0, step: 28,800, lr:(2.000e-04,)] [eta: 18:40:12, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.9803e+00 l1_pixel_x2_opt: 5.7291e-02 fft_pixel_x2_opt: 4.1559e-02 eagle_pixel_x4_opt: 7.9217e+00 l1_pixel_x4_opt: 5.6240e-02 fft_pixel_x4_opt: 4.4675e-02 +2025-11-01 03:57:38,167 INFO: [29..][epoch: 0, step: 28,900, lr:(2.000e-04,)] [eta: 18:38:48, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.1414e+00 l1_pixel_x2_opt: 5.8698e-02 fft_pixel_x2_opt: 4.1852e-02 eagle_pixel_x4_opt: 6.3575e+00 l1_pixel_x4_opt: 5.3527e-02 fft_pixel_x4_opt: 4.4612e-02 +2025-11-01 03:58:43,633 INFO: [29..][epoch: 0, step: 29,000, lr:(2.000e-04,)] [eta: 18:37:24, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.8846e+00 l1_pixel_x2_opt: 5.4511e-02 fft_pixel_x2_opt: 4.2939e-02 eagle_pixel_x4_opt: 7.2386e+00 l1_pixel_x4_opt: 5.2098e-02 fft_pixel_x4_opt: 4.5729e-02 +2025-11-01 03:59:49,699 INFO: [29..][epoch: 0, step: 29,100, lr:(2.000e-04,)] [eta: 18:36:01, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.5774e+00 l1_pixel_x2_opt: 6.6131e-02 fft_pixel_x2_opt: 4.8345e-02 eagle_pixel_x4_opt: 6.3720e+00 l1_pixel_x4_opt: 6.0868e-02 fft_pixel_x4_opt: 5.0811e-02 +2025-11-01 04:00:55,459 INFO: [29..][epoch: 0, step: 29,200, lr:(2.000e-04,)] [eta: 18:34:38, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.5629e+00 l1_pixel_x2_opt: 5.2554e-02 fft_pixel_x2_opt: 3.8216e-02 eagle_pixel_x4_opt: 5.9214e+00 l1_pixel_x4_opt: 4.7841e-02 fft_pixel_x4_opt: 4.0955e-02 +2025-11-01 04:02:01,213 INFO: [29..][epoch: 0, step: 29,300, lr:(2.000e-04,)] [eta: 18:33:15, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.3971e+00 l1_pixel_x2_opt: 7.0532e-02 fft_pixel_x2_opt: 4.9047e-02 eagle_pixel_x4_opt: 6.2525e+00 l1_pixel_x4_opt: 6.5269e-02 fft_pixel_x4_opt: 5.0563e-02 +2025-11-01 04:03:06,776 INFO: [29..][epoch: 0, step: 29,400, lr:(2.000e-04,)] [eta: 18:31:51, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.6495e+00 l1_pixel_x2_opt: 6.7236e-02 fft_pixel_x2_opt: 5.0311e-02 eagle_pixel_x4_opt: 7.4202e+00 l1_pixel_x4_opt: 6.2731e-02 fft_pixel_x4_opt: 5.3381e-02 +2025-11-01 04:04:12,427 INFO: [29..][epoch: 0, step: 29,500, lr:(2.000e-04,)] [eta: 18:30:28, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.9587e+00 l1_pixel_x2_opt: 6.1158e-02 fft_pixel_x2_opt: 4.4523e-02 eagle_pixel_x4_opt: 7.2090e+00 l1_pixel_x4_opt: 5.8202e-02 fft_pixel_x4_opt: 4.8269e-02 +2025-11-01 04:05:17,924 INFO: [29..][epoch: 0, step: 29,600, lr:(2.000e-04,)] [eta: 18:29:05, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.3951e+00 l1_pixel_x2_opt: 6.7437e-02 fft_pixel_x2_opt: 4.7411e-02 eagle_pixel_x4_opt: 7.2185e+00 l1_pixel_x4_opt: 6.3641e-02 fft_pixel_x4_opt: 4.9589e-02 +2025-11-01 04:06:23,243 INFO: [29..][epoch: 0, step: 29,700, lr:(2.000e-04,)] [eta: 18:27:41, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.9096e+00 l1_pixel_x2_opt: 6.0205e-02 fft_pixel_x2_opt: 4.1039e-02 eagle_pixel_x4_opt: 6.7655e+00 l1_pixel_x4_opt: 5.6606e-02 fft_pixel_x4_opt: 4.2516e-02 +2025-11-01 04:07:28,641 INFO: [29..][epoch: 0, step: 29,800, lr:(2.000e-04,)] [eta: 18:26:17, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.5303e+00 l1_pixel_x2_opt: 6.5367e-02 fft_pixel_x2_opt: 4.5498e-02 eagle_pixel_x4_opt: 4.8491e+00 l1_pixel_x4_opt: 5.9791e-02 fft_pixel_x4_opt: 4.5622e-02 +2025-11-01 04:08:34,176 INFO: [29..][epoch: 0, step: 29,900, lr:(2.000e-04,)] [eta: 18:24:54, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.7917e+00 l1_pixel_x2_opt: 5.9959e-02 fft_pixel_x2_opt: 4.3346e-02 eagle_pixel_x4_opt: 5.8262e+00 l1_pixel_x4_opt: 5.4889e-02 fft_pixel_x4_opt: 4.6634e-02 +2025-11-01 04:09:40,224 INFO: [29..][epoch: 0, step: 30,000, lr:(2.000e-04,)] [eta: 18:23:33, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.9730e+00 l1_pixel_x2_opt: 6.4038e-02 fft_pixel_x2_opt: 4.5357e-02 eagle_pixel_x4_opt: 6.8372e+00 l1_pixel_x4_opt: 6.1572e-02 fft_pixel_x4_opt: 4.7916e-02 +2025-11-01 04:09:40,225 INFO: Saving models and training states. +2025-11-01 04:11:15,600 INFO: Validation val_x2 + # l1_latent: 1.4872 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8186 Best: 27.8186 @ 30000 iter + +2025-11-01 04:13:40,978 INFO: Validation val_x4 + # l1_latent: 1.6718 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3318 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.8953 Best: 27.8953 @ 30000 iter + +2025-11-01 04:14:46,535 INFO: [29..][epoch: 0, step: 30,100, lr:(2.000e-04,)] [eta: 18:34:49, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.8194e+00 l1_pixel_x2_opt: 5.8092e-02 fft_pixel_x2_opt: 3.9700e-02 eagle_pixel_x4_opt: 5.9536e+00 l1_pixel_x4_opt: 5.3442e-02 fft_pixel_x4_opt: 4.0510e-02 +2025-11-01 04:15:51,831 INFO: [29..][epoch: 0, step: 30,200, lr:(2.000e-04,)] [eta: 18:33:22, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.0921e+00 l1_pixel_x2_opt: 5.6070e-02 fft_pixel_x2_opt: 3.9525e-02 eagle_pixel_x4_opt: 5.4642e+00 l1_pixel_x4_opt: 4.9893e-02 fft_pixel_x4_opt: 4.0867e-02 +2025-11-01 04:16:57,314 INFO: [29..][epoch: 0, step: 30,300, lr:(2.000e-04,)] [eta: 18:31:56, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.3657e+00 l1_pixel_x2_opt: 5.6843e-02 fft_pixel_x2_opt: 3.9285e-02 eagle_pixel_x4_opt: 5.4576e+00 l1_pixel_x4_opt: 5.1475e-02 fft_pixel_x4_opt: 4.0501e-02 +2025-11-01 04:18:02,903 INFO: [29..][epoch: 0, step: 30,400, lr:(2.000e-04,)] [eta: 18:30:31, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2976e+00 l1_pixel_x2_opt: 5.8146e-02 fft_pixel_x2_opt: 4.0614e-02 eagle_pixel_x4_opt: 5.1778e+00 l1_pixel_x4_opt: 5.3998e-02 fft_pixel_x4_opt: 4.2702e-02 +2025-11-01 04:19:08,349 INFO: [29..][epoch: 0, step: 30,500, lr:(2.000e-04,)] [eta: 18:29:05, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.5521e+00 l1_pixel_x2_opt: 5.9900e-02 fft_pixel_x2_opt: 4.0966e-02 eagle_pixel_x4_opt: 6.7994e+00 l1_pixel_x4_opt: 5.6811e-02 fft_pixel_x4_opt: 4.3023e-02 +2025-11-01 04:20:13,798 INFO: [29..][epoch: 0, step: 30,600, lr:(2.000e-04,)] [eta: 18:27:39, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.4549e+00 l1_pixel_x2_opt: 5.2654e-02 fft_pixel_x2_opt: 4.1247e-02 eagle_pixel_x4_opt: 6.3413e+00 l1_pixel_x4_opt: 4.8736e-02 fft_pixel_x4_opt: 4.3394e-02 +2025-11-01 04:21:19,278 INFO: [29..][epoch: 0, step: 30,700, lr:(2.000e-04,)] [eta: 18:26:14, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2253e+00 l1_pixel_x2_opt: 5.2106e-02 fft_pixel_x2_opt: 3.6926e-02 eagle_pixel_x4_opt: 5.6036e+00 l1_pixel_x4_opt: 4.8175e-02 fft_pixel_x4_opt: 3.9280e-02 +2025-11-01 04:22:24,857 INFO: [29..][epoch: 0, step: 30,800, lr:(2.000e-04,)] [eta: 18:24:48, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.7219e+00 l1_pixel_x2_opt: 5.4141e-02 fft_pixel_x2_opt: 4.0125e-02 eagle_pixel_x4_opt: 6.6801e+00 l1_pixel_x4_opt: 4.9137e-02 fft_pixel_x4_opt: 4.2455e-02 +2025-11-01 04:23:30,260 INFO: [29..][epoch: 0, step: 30,900, lr:(2.000e-04,)] [eta: 18:23:23, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.3156e+00 l1_pixel_x2_opt: 5.5916e-02 fft_pixel_x2_opt: 4.0819e-02 eagle_pixel_x4_opt: 6.4575e+00 l1_pixel_x4_opt: 5.1309e-02 fft_pixel_x4_opt: 4.2336e-02 +2025-11-01 04:24:36,219 INFO: [29..][epoch: 0, step: 31,000, lr:(2.000e-04,)] [eta: 18:21:59, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.1364e+00 l1_pixel_x2_opt: 5.6699e-02 fft_pixel_x2_opt: 3.8440e-02 eagle_pixel_x4_opt: 5.1322e+00 l1_pixel_x4_opt: 5.1995e-02 fft_pixel_x4_opt: 3.9595e-02 +2025-11-01 04:25:42,225 INFO: [29..][epoch: 0, step: 31,100, lr:(2.000e-04,)] [eta: 18:20:36, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.2893e+00 l1_pixel_x2_opt: 7.0307e-02 fft_pixel_x2_opt: 5.0590e-02 eagle_pixel_x4_opt: 7.8111e+00 l1_pixel_x4_opt: 6.6196e-02 fft_pixel_x4_opt: 5.3243e-02 +2025-11-01 04:26:47,765 INFO: [29..][epoch: 0, step: 31,200, lr:(2.000e-04,)] [eta: 18:19:11, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.9816e+00 l1_pixel_x2_opt: 5.8790e-02 fft_pixel_x2_opt: 4.2517e-02 eagle_pixel_x4_opt: 5.9080e+00 l1_pixel_x4_opt: 5.4731e-02 fft_pixel_x4_opt: 4.3824e-02 +2025-11-01 04:27:54,071 INFO: [29..][epoch: 0, step: 31,300, lr:(2.000e-04,)] [eta: 18:17:49, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.4857e+00 l1_pixel_x2_opt: 5.5491e-02 fft_pixel_x2_opt: 4.0847e-02 eagle_pixel_x4_opt: 6.8982e+00 l1_pixel_x4_opt: 5.2594e-02 fft_pixel_x4_opt: 4.3913e-02 +2025-11-01 04:28:59,685 INFO: [29..][epoch: 0, step: 31,400, lr:(2.000e-04,)] [eta: 18:16:25, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.9550e+00 l1_pixel_x2_opt: 6.0967e-02 fft_pixel_x2_opt: 4.1778e-02 eagle_pixel_x4_opt: 5.6775e+00 l1_pixel_x4_opt: 5.6171e-02 fft_pixel_x4_opt: 4.3588e-02 +2025-11-01 04:30:05,688 INFO: [29..][epoch: 0, step: 31,500, lr:(2.000e-04,)] [eta: 18:15:02, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.6878e+00 l1_pixel_x2_opt: 4.8707e-02 fft_pixel_x2_opt: 3.3459e-02 eagle_pixel_x4_opt: 4.6868e+00 l1_pixel_x4_opt: 4.4610e-02 fft_pixel_x4_opt: 3.4998e-02 +2025-11-01 04:31:11,387 INFO: [29..][epoch: 0, step: 31,600, lr:(2.000e-04,)] [eta: 18:13:38, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.9715e+00 l1_pixel_x2_opt: 6.3223e-02 fft_pixel_x2_opt: 4.4276e-02 eagle_pixel_x4_opt: 5.7783e+00 l1_pixel_x4_opt: 5.9130e-02 fft_pixel_x4_opt: 4.5786e-02 +2025-11-01 04:32:17,005 INFO: [29..][epoch: 0, step: 31,700, lr:(2.000e-04,)] [eta: 18:12:14, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.9625e+00 l1_pixel_x2_opt: 5.9566e-02 fft_pixel_x2_opt: 4.0984e-02 eagle_pixel_x4_opt: 6.1675e+00 l1_pixel_x4_opt: 5.5179e-02 fft_pixel_x4_opt: 4.2314e-02 +2025-11-01 04:33:22,785 INFO: [29..][epoch: 0, step: 31,800, lr:(2.000e-04,)] [eta: 18:10:51, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 3.5767e+00 l1_pixel_x2_opt: 4.7235e-02 fft_pixel_x2_opt: 3.3022e-02 eagle_pixel_x4_opt: 4.8064e+00 l1_pixel_x4_opt: 4.3374e-02 fft_pixel_x4_opt: 3.5651e-02 +2025-11-01 04:34:29,174 INFO: [29..][epoch: 0, step: 31,900, lr:(2.000e-04,)] [eta: 18:09:29, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.0353e+00 l1_pixel_x2_opt: 5.3540e-02 fft_pixel_x2_opt: 3.4721e-02 eagle_pixel_x4_opt: 5.2536e+00 l1_pixel_x4_opt: 5.0519e-02 fft_pixel_x4_opt: 3.6891e-02 +2025-11-01 04:35:34,671 INFO: [29..][epoch: 0, step: 32,000, lr:(2.000e-04,)] [eta: 18:08:05, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.8672e+00 l1_pixel_x2_opt: 6.1407e-02 fft_pixel_x2_opt: 4.1970e-02 eagle_pixel_x4_opt: 5.7416e+00 l1_pixel_x4_opt: 5.6924e-02 fft_pixel_x4_opt: 4.4602e-02 +2025-11-01 04:36:40,463 INFO: [29..][epoch: 0, step: 32,100, lr:(2.000e-04,)] [eta: 18:06:42, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.3449e+00 l1_pixel_x2_opt: 5.6226e-02 fft_pixel_x2_opt: 4.4488e-02 eagle_pixel_x4_opt: 6.9796e+00 l1_pixel_x4_opt: 5.1436e-02 fft_pixel_x4_opt: 4.7352e-02 +2025-11-01 04:37:45,899 INFO: [29..][epoch: 0, step: 32,200, lr:(2.000e-04,)] [eta: 18:05:18, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.4206e+00 l1_pixel_x2_opt: 5.2534e-02 fft_pixel_x2_opt: 3.5923e-02 eagle_pixel_x4_opt: 5.3207e+00 l1_pixel_x4_opt: 4.8698e-02 fft_pixel_x4_opt: 3.9782e-02 +2025-11-01 04:38:51,511 INFO: [29..][epoch: 0, step: 32,300, lr:(2.000e-04,)] [eta: 18:03:55, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.7599e+00 l1_pixel_x2_opt: 5.0300e-02 fft_pixel_x2_opt: 3.5684e-02 eagle_pixel_x4_opt: 5.1785e+00 l1_pixel_x4_opt: 4.5159e-02 fft_pixel_x4_opt: 3.7072e-02 +2025-11-01 04:39:57,322 INFO: [29..][epoch: 0, step: 32,400, lr:(2.000e-04,)] [eta: 18:02:33, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.6541e+00 l1_pixel_x2_opt: 4.8455e-02 fft_pixel_x2_opt: 3.4148e-02 eagle_pixel_x4_opt: 4.1940e+00 l1_pixel_x4_opt: 4.3343e-02 fft_pixel_x4_opt: 3.5129e-02 +2025-11-01 04:41:03,714 INFO: [29..][epoch: 0, step: 32,500, lr:(2.000e-04,)] [eta: 18:01:12, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 6.1542e+00 l1_pixel_x2_opt: 6.8182e-02 fft_pixel_x2_opt: 4.9581e-02 eagle_pixel_x4_opt: 8.9486e+00 l1_pixel_x4_opt: 6.7068e-02 fft_pixel_x4_opt: 5.5311e-02 +2025-11-01 04:41:03,716 INFO: Saving models and training states. +2025-11-01 04:42:11,009 INFO: [29..][epoch: 0, step: 32,600, lr:(2.000e-04,)] [eta: 17:59:54, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.0513e+00 l1_pixel_x2_opt: 6.6794e-02 fft_pixel_x2_opt: 4.4831e-02 eagle_pixel_x4_opt: 7.0372e+00 l1_pixel_x4_opt: 6.4055e-02 fft_pixel_x4_opt: 4.7565e-02 +2025-11-01 04:43:17,052 INFO: [29..][epoch: 0, step: 32,700, lr:(2.000e-04,)] [eta: 17:58:32, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.2742e+00 l1_pixel_x2_opt: 6.9978e-02 fft_pixel_x2_opt: 4.6720e-02 eagle_pixel_x4_opt: 7.1923e+00 l1_pixel_x4_opt: 6.7022e-02 fft_pixel_x4_opt: 4.8649e-02 +2025-11-01 04:44:22,265 INFO: [29..][epoch: 0, step: 32,800, lr:(2.000e-04,)] [eta: 17:57:08, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 4.2754e+00 l1_pixel_x2_opt: 5.0202e-02 fft_pixel_x2_opt: 3.5428e-02 eagle_pixel_x4_opt: 6.1863e+00 l1_pixel_x4_opt: 4.7459e-02 fft_pixel_x4_opt: 3.8446e-02 +2025-11-01 04:45:27,565 INFO: [29..][epoch: 0, step: 32,900, lr:(2.000e-04,)] [eta: 17:55:44, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 3.9629e+00 l1_pixel_x2_opt: 5.4222e-02 fft_pixel_x2_opt: 3.5896e-02 eagle_pixel_x4_opt: 6.1601e+00 l1_pixel_x4_opt: 4.9075e-02 fft_pixel_x4_opt: 3.8654e-02 +2025-11-01 04:46:33,049 INFO: [29..][epoch: 0, step: 33,000, lr:(2.000e-04,)] [eta: 17:54:22, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.4010e+00 l1_pixel_x2_opt: 6.6122e-02 fft_pixel_x2_opt: 4.5955e-02 eagle_pixel_x4_opt: 7.1123e+00 l1_pixel_x4_opt: 6.0985e-02 fft_pixel_x4_opt: 4.8480e-02 +2025-11-01 04:47:38,591 INFO: [29..][epoch: 0, step: 33,100, lr:(2.000e-04,)] [eta: 17:52:59, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.4561e+00 l1_pixel_x2_opt: 6.3937e-02 fft_pixel_x2_opt: 4.7014e-02 eagle_pixel_x4_opt: 8.6267e+00 l1_pixel_x4_opt: 5.9122e-02 fft_pixel_x4_opt: 4.7828e-02 +2025-11-01 04:48:44,209 INFO: [29..][epoch: 0, step: 33,200, lr:(2.000e-04,)] [eta: 17:51:37, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.2614e+00 l1_pixel_x2_opt: 5.2830e-02 fft_pixel_x2_opt: 3.7450e-02 eagle_pixel_x4_opt: 6.1464e+00 l1_pixel_x4_opt: 5.0192e-02 fft_pixel_x4_opt: 4.1663e-02 +2025-11-01 04:49:49,433 INFO: [29..][epoch: 0, step: 33,300, lr:(2.000e-04,)] [eta: 17:50:13, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.1079e+00 l1_pixel_x2_opt: 5.8123e-02 fft_pixel_x2_opt: 3.8905e-02 eagle_pixel_x4_opt: 4.9149e+00 l1_pixel_x4_opt: 5.4256e-02 fft_pixel_x4_opt: 4.1102e-02 +2025-11-01 04:50:55,537 INFO: [29..][epoch: 0, step: 33,400, lr:(2.000e-04,)] [eta: 17:48:53, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.3751e+00 l1_pixel_x2_opt: 5.3427e-02 fft_pixel_x2_opt: 3.8708e-02 eagle_pixel_x4_opt: 7.1856e+00 l1_pixel_x4_opt: 5.1519e-02 fft_pixel_x4_opt: 4.1484e-02 +2025-11-01 04:52:01,661 INFO: [29..][epoch: 0, step: 33,500, lr:(2.000e-04,)] [eta: 17:47:32, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 3.9473e+00 l1_pixel_x2_opt: 5.7280e-02 fft_pixel_x2_opt: 3.7977e-02 eagle_pixel_x4_opt: 6.0931e+00 l1_pixel_x4_opt: 5.3344e-02 fft_pixel_x4_opt: 4.0888e-02 +2025-11-01 04:53:07,229 INFO: [29..][epoch: 0, step: 33,600, lr:(2.000e-04,)] [eta: 17:46:10, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.8575e+00 l1_pixel_x2_opt: 5.2272e-02 fft_pixel_x2_opt: 3.8829e-02 eagle_pixel_x4_opt: 5.8389e+00 l1_pixel_x4_opt: 5.0353e-02 fft_pixel_x4_opt: 4.2289e-02 +2025-11-01 04:54:12,918 INFO: [29..][epoch: 0, step: 33,700, lr:(2.000e-04,)] [eta: 17:44:48, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.5352e+00 l1_pixel_x2_opt: 5.1928e-02 fft_pixel_x2_opt: 3.4196e-02 eagle_pixel_x4_opt: 4.7946e+00 l1_pixel_x4_opt: 4.8850e-02 fft_pixel_x4_opt: 3.6476e-02 +2025-11-01 04:55:18,581 INFO: [29..][epoch: 0, step: 33,800, lr:(2.000e-04,)] [eta: 17:43:27, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.6557e+00 l1_pixel_x2_opt: 6.2504e-02 fft_pixel_x2_opt: 4.4448e-02 eagle_pixel_x4_opt: 7.0268e+00 l1_pixel_x4_opt: 5.8672e-02 fft_pixel_x4_opt: 4.6646e-02 +2025-11-01 04:56:24,452 INFO: [29..][epoch: 0, step: 33,900, lr:(2.000e-04,)] [eta: 17:42:06, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.7383e+00 l1_pixel_x2_opt: 5.4863e-02 fft_pixel_x2_opt: 3.6949e-02 eagle_pixel_x4_opt: 4.5250e+00 l1_pixel_x4_opt: 5.0136e-02 fft_pixel_x4_opt: 3.7791e-02 +2025-11-01 04:57:29,884 INFO: [29..][epoch: 0, step: 34,000, lr:(2.000e-04,)] [eta: 17:40:44, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.7003e+00 l1_pixel_x2_opt: 6.1324e-02 fft_pixel_x2_opt: 4.4411e-02 eagle_pixel_x4_opt: 6.7245e+00 l1_pixel_x4_opt: 5.7465e-02 fft_pixel_x4_opt: 4.6287e-02 +2025-11-01 04:58:36,188 INFO: [29..][epoch: 0, step: 34,100, lr:(2.000e-04,)] [eta: 17:39:24, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 7.1985e+00 l1_pixel_x2_opt: 6.6759e-02 fft_pixel_x2_opt: 5.1861e-02 eagle_pixel_x4_opt: 1.0311e+01 l1_pixel_x4_opt: 6.4742e-02 fft_pixel_x4_opt: 5.8105e-02 +2025-11-01 04:59:41,918 INFO: [29..][epoch: 0, step: 34,200, lr:(2.000e-04,)] [eta: 17:38:03, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.1296e+00 l1_pixel_x2_opt: 6.1502e-02 fft_pixel_x2_opt: 3.9552e-02 eagle_pixel_x4_opt: 5.2011e+00 l1_pixel_x4_opt: 5.7893e-02 fft_pixel_x4_opt: 4.0409e-02 +2025-11-01 05:00:47,425 INFO: [29..][epoch: 0, step: 34,300, lr:(2.000e-04,)] [eta: 17:36:41, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.5748e+00 l1_pixel_x2_opt: 5.5944e-02 fft_pixel_x2_opt: 4.0262e-02 eagle_pixel_x4_opt: 6.3777e+00 l1_pixel_x4_opt: 5.1517e-02 fft_pixel_x4_opt: 4.3850e-02 +2025-11-01 05:01:52,902 INFO: [29..][epoch: 0, step: 34,400, lr:(2.000e-04,)] [eta: 17:35:20, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.4813e+00 l1_pixel_x2_opt: 5.8098e-02 fft_pixel_x2_opt: 4.1029e-02 eagle_pixel_x4_opt: 6.5063e+00 l1_pixel_x4_opt: 5.3531e-02 fft_pixel_x4_opt: 4.3163e-02 +2025-11-01 05:02:58,495 INFO: [29..][epoch: 0, step: 34,500, lr:(2.000e-04,)] [eta: 17:33:59, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.6362e+00 l1_pixel_x2_opt: 5.7993e-02 fft_pixel_x2_opt: 4.1861e-02 eagle_pixel_x4_opt: 5.2819e+00 l1_pixel_x4_opt: 5.3166e-02 fft_pixel_x4_opt: 4.4652e-02 +2025-11-01 05:04:03,524 INFO: [29..][epoch: 0, step: 34,600, lr:(2.000e-04,)] [eta: 17:32:36, time (data): 0.649 (0.000)] eagle_pixel_x2_opt: 4.4754e+00 l1_pixel_x2_opt: 5.7172e-02 fft_pixel_x2_opt: 4.1123e-02 eagle_pixel_x4_opt: 5.2737e+00 l1_pixel_x4_opt: 5.3523e-02 fft_pixel_x4_opt: 4.3216e-02 +2025-11-01 05:05:08,531 INFO: [29..][epoch: 0, step: 34,700, lr:(2.000e-04,)] [eta: 17:31:13, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 5.1785e+00 l1_pixel_x2_opt: 6.1276e-02 fft_pixel_x2_opt: 4.4978e-02 eagle_pixel_x4_opt: 6.3291e+00 l1_pixel_x4_opt: 5.5819e-02 fft_pixel_x4_opt: 4.5911e-02 +2025-11-01 05:06:13,577 INFO: [29..][epoch: 0, step: 34,800, lr:(2.000e-04,)] [eta: 17:29:51, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 3.9961e+00 l1_pixel_x2_opt: 5.1165e-02 fft_pixel_x2_opt: 3.5240e-02 eagle_pixel_x4_opt: 5.1512e+00 l1_pixel_x4_opt: 4.8868e-02 fft_pixel_x4_opt: 3.8186e-02 +2025-11-01 05:07:18,583 INFO: [29..][epoch: 0, step: 34,900, lr:(2.000e-04,)] [eta: 17:28:29, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 4.0954e+00 l1_pixel_x2_opt: 5.1483e-02 fft_pixel_x2_opt: 3.7823e-02 eagle_pixel_x4_opt: 5.3732e+00 l1_pixel_x4_opt: 4.6572e-02 fft_pixel_x4_opt: 3.9463e-02 +2025-11-01 05:08:23,583 INFO: [29..][epoch: 0, step: 35,000, lr:(2.000e-04,)] [eta: 17:27:07, time (data): 0.649 (0.000)] eagle_pixel_x2_opt: 6.0012e+00 l1_pixel_x2_opt: 6.4921e-02 fft_pixel_x2_opt: 4.7448e-02 eagle_pixel_x4_opt: 7.7160e+00 l1_pixel_x4_opt: 5.9369e-02 fft_pixel_x4_opt: 4.9882e-02 +2025-11-01 05:08:23,585 INFO: Saving models and training states. +2025-11-01 05:09:45,016 INFO: Validation val_x2 + # l1_latent: 1.4920 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8295 Best: 27.8295 @ 35000 iter + +2025-11-01 05:12:10,317 INFO: Validation val_x4 + # l1_latent: 1.6713 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3313 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.9332 Best: 27.9332 @ 35000 iter + +2025-11-01 05:13:15,487 INFO: [29..][epoch: 0, step: 35,100, lr:(2.000e-04,)] [eta: 17:35:26, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 3.4341e+00 l1_pixel_x2_opt: 4.3825e-02 fft_pixel_x2_opt: 2.8332e-02 eagle_pixel_x4_opt: 3.9072e+00 l1_pixel_x4_opt: 4.2000e-02 fft_pixel_x4_opt: 2.9965e-02 +2025-11-01 05:14:20,481 INFO: [29..][epoch: 0, step: 35,200, lr:(2.000e-04,)] [eta: 17:34:01, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 5.5213e+00 l1_pixel_x2_opt: 5.5984e-02 fft_pixel_x2_opt: 4.1133e-02 eagle_pixel_x4_opt: 7.8584e+00 l1_pixel_x4_opt: 5.2289e-02 fft_pixel_x4_opt: 4.5539e-02 +2025-11-01 05:15:25,685 INFO: [29..][epoch: 0, step: 35,300, lr:(2.000e-04,)] [eta: 17:32:38, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 7.2809e+00 l1_pixel_x2_opt: 6.2400e-02 fft_pixel_x2_opt: 4.6517e-02 eagle_pixel_x4_opt: 7.7226e+00 l1_pixel_x4_opt: 5.8611e-02 fft_pixel_x4_opt: 4.9440e-02 +2025-11-01 05:16:31,290 INFO: [29..][epoch: 0, step: 35,400, lr:(2.000e-04,)] [eta: 17:31:15, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.1665e+00 l1_pixel_x2_opt: 6.7674e-02 fft_pixel_x2_opt: 4.7231e-02 eagle_pixel_x4_opt: 5.7747e+00 l1_pixel_x4_opt: 6.0959e-02 fft_pixel_x4_opt: 4.8887e-02 +2025-11-01 05:17:37,128 INFO: [29..][epoch: 0, step: 35,500, lr:(2.000e-04,)] [eta: 17:29:53, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.1406e+00 l1_pixel_x2_opt: 4.7297e-02 fft_pixel_x2_opt: 3.5107e-02 eagle_pixel_x4_opt: 4.7751e+00 l1_pixel_x4_opt: 4.2515e-02 fft_pixel_x4_opt: 3.6414e-02 +2025-11-01 05:18:42,215 INFO: [29..][epoch: 0, step: 35,600, lr:(2.000e-04,)] [eta: 17:28:29, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.1817e+00 l1_pixel_x2_opt: 5.3665e-02 fft_pixel_x2_opt: 3.9296e-02 eagle_pixel_x4_opt: 6.0509e+00 l1_pixel_x4_opt: 4.8627e-02 fft_pixel_x4_opt: 3.9786e-02 +2025-11-01 05:19:47,283 INFO: [29..][epoch: 0, step: 35,700, lr:(2.000e-04,)] [eta: 17:27:06, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.0098e+00 l1_pixel_x2_opt: 6.1695e-02 fft_pixel_x2_opt: 4.4481e-02 eagle_pixel_x4_opt: 6.3617e+00 l1_pixel_x4_opt: 5.6801e-02 fft_pixel_x4_opt: 4.7814e-02 +2025-11-01 05:20:52,372 INFO: [29..][epoch: 0, step: 35,800, lr:(2.000e-04,)] [eta: 17:25:42, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.1488e+00 l1_pixel_x2_opt: 6.4569e-02 fft_pixel_x2_opt: 4.5899e-02 eagle_pixel_x4_opt: 5.6375e+00 l1_pixel_x4_opt: 6.0433e-02 fft_pixel_x4_opt: 4.8483e-02 +2025-11-01 05:21:57,893 INFO: [29..][epoch: 0, step: 35,900, lr:(2.000e-04,)] [eta: 17:24:20, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.4333e+00 l1_pixel_x2_opt: 6.6569e-02 fft_pixel_x2_opt: 4.5363e-02 eagle_pixel_x4_opt: 5.5924e+00 l1_pixel_x4_opt: 6.1299e-02 fft_pixel_x4_opt: 4.6975e-02 +2025-11-01 05:23:03,627 INFO: [29..][epoch: 0, step: 36,000, lr:(2.000e-04,)] [eta: 17:22:58, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.5590e+00 l1_pixel_x2_opt: 6.0096e-02 fft_pixel_x2_opt: 4.0853e-02 eagle_pixel_x4_opt: 6.5297e+00 l1_pixel_x4_opt: 5.4612e-02 fft_pixel_x4_opt: 4.2994e-02 +2025-11-01 05:24:09,275 INFO: [29..][epoch: 0, step: 36,100, lr:(2.000e-04,)] [eta: 17:21:37, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.8352e+00 l1_pixel_x2_opt: 6.1569e-02 fft_pixel_x2_opt: 4.4609e-02 eagle_pixel_x4_opt: 7.2539e+00 l1_pixel_x4_opt: 5.5963e-02 fft_pixel_x4_opt: 4.5983e-02 +2025-11-01 05:25:14,704 INFO: [29..][epoch: 0, step: 36,200, lr:(2.000e-04,)] [eta: 17:20:14, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.4386e+00 l1_pixel_x2_opt: 6.2001e-02 fft_pixel_x2_opt: 4.4234e-02 eagle_pixel_x4_opt: 6.5856e+00 l1_pixel_x4_opt: 5.7537e-02 fft_pixel_x4_opt: 4.6556e-02 +2025-11-01 05:26:20,239 INFO: [29..][epoch: 0, step: 36,300, lr:(2.000e-04,)] [eta: 17:18:52, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.9114e+00 l1_pixel_x2_opt: 6.0018e-02 fft_pixel_x2_opt: 4.1908e-02 eagle_pixel_x4_opt: 6.5885e+00 l1_pixel_x4_opt: 5.4901e-02 fft_pixel_x4_opt: 4.4888e-02 +2025-11-01 05:27:26,135 INFO: [29..][epoch: 0, step: 36,400, lr:(2.000e-04,)] [eta: 17:17:31, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.6243e+00 l1_pixel_x2_opt: 5.7572e-02 fft_pixel_x2_opt: 3.9966e-02 eagle_pixel_x4_opt: 5.9408e+00 l1_pixel_x4_opt: 5.3526e-02 fft_pixel_x4_opt: 4.1250e-02 +2025-11-01 05:28:31,462 INFO: [29..][epoch: 0, step: 36,500, lr:(2.000e-04,)] [eta: 17:16:09, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.1526e+00 l1_pixel_x2_opt: 5.7980e-02 fft_pixel_x2_opt: 4.0991e-02 eagle_pixel_x4_opt: 4.9875e+00 l1_pixel_x4_opt: 5.3220e-02 fft_pixel_x4_opt: 4.2704e-02 +2025-11-01 05:29:37,230 INFO: [29..][epoch: 0, step: 36,600, lr:(2.000e-04,)] [eta: 17:14:48, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 5.1928e+00 l1_pixel_x2_opt: 6.4134e-02 fft_pixel_x2_opt: 4.3413e-02 eagle_pixel_x4_opt: 5.9617e+00 l1_pixel_x4_opt: 6.0028e-02 fft_pixel_x4_opt: 4.4504e-02 +2025-11-01 05:30:43,100 INFO: [29..][epoch: 0, step: 36,700, lr:(2.000e-04,)] [eta: 17:13:27, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.7659e+00 l1_pixel_x2_opt: 4.6317e-02 fft_pixel_x2_opt: 3.6148e-02 eagle_pixel_x4_opt: 5.7292e+00 l1_pixel_x4_opt: 4.2345e-02 fft_pixel_x4_opt: 3.8824e-02 +2025-11-01 05:31:49,005 INFO: [29..][epoch: 0, step: 36,800, lr:(2.000e-04,)] [eta: 17:12:06, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.1586e+00 l1_pixel_x2_opt: 4.3334e-02 fft_pixel_x2_opt: 2.9588e-02 eagle_pixel_x4_opt: 4.2940e+00 l1_pixel_x4_opt: 4.0222e-02 fft_pixel_x4_opt: 3.0444e-02 +2025-11-01 05:32:54,352 INFO: [29..][epoch: 0, step: 36,900, lr:(2.000e-04,)] [eta: 17:10:45, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.7895e+00 l1_pixel_x2_opt: 5.7031e-02 fft_pixel_x2_opt: 4.1731e-02 eagle_pixel_x4_opt: 6.7137e+00 l1_pixel_x4_opt: 5.3753e-02 fft_pixel_x4_opt: 4.1050e-02 +2025-11-01 05:33:59,948 INFO: [29..][epoch: 0, step: 37,000, lr:(2.000e-04,)] [eta: 17:09:24, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.3268e+00 l1_pixel_x2_opt: 4.8630e-02 fft_pixel_x2_opt: 3.3224e-02 eagle_pixel_x4_opt: 6.1293e+00 l1_pixel_x4_opt: 4.8089e-02 fft_pixel_x4_opt: 3.6789e-02 +2025-11-01 05:35:05,539 INFO: [29..][epoch: 0, step: 37,100, lr:(2.000e-04,)] [eta: 17:08:03, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.3700e+00 l1_pixel_x2_opt: 7.1180e-02 fft_pixel_x2_opt: 5.0535e-02 eagle_pixel_x4_opt: 6.0658e+00 l1_pixel_x4_opt: 6.4711e-02 fft_pixel_x4_opt: 5.1135e-02 +2025-11-01 05:36:11,184 INFO: [29..][epoch: 0, step: 37,200, lr:(2.000e-04,)] [eta: 17:06:42, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.2309e+00 l1_pixel_x2_opt: 5.6480e-02 fft_pixel_x2_opt: 4.3250e-02 eagle_pixel_x4_opt: 5.6494e+00 l1_pixel_x4_opt: 4.9790e-02 fft_pixel_x4_opt: 4.4520e-02 +2025-11-01 05:37:17,067 INFO: [29..][epoch: 0, step: 37,300, lr:(2.000e-04,)] [eta: 17:05:22, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.8077e+00 l1_pixel_x2_opt: 5.3246e-02 fft_pixel_x2_opt: 3.5947e-02 eagle_pixel_x4_opt: 5.8536e+00 l1_pixel_x4_opt: 4.8758e-02 fft_pixel_x4_opt: 3.7492e-02 +2025-11-01 05:38:22,801 INFO: [29..][epoch: 0, step: 37,400, lr:(2.000e-04,)] [eta: 17:04:01, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 2.9637e+00 l1_pixel_x2_opt: 4.6767e-02 fft_pixel_x2_opt: 3.1679e-02 eagle_pixel_x4_opt: 3.7931e+00 l1_pixel_x4_opt: 4.1777e-02 fft_pixel_x4_opt: 3.3674e-02 +2025-11-01 05:39:28,244 INFO: [29..][epoch: 0, step: 37,500, lr:(2.000e-04,)] [eta: 17:02:40, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.3012e+00 l1_pixel_x2_opt: 6.3578e-02 fft_pixel_x2_opt: 4.4730e-02 eagle_pixel_x4_opt: 7.9111e+00 l1_pixel_x4_opt: 5.9301e-02 fft_pixel_x4_opt: 4.7788e-02 +2025-11-01 05:39:28,245 INFO: Saving models and training states. +2025-11-01 05:40:34,968 INFO: [29..][epoch: 0, step: 37,600, lr:(2.000e-04,)] [eta: 17:01:22, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 2.9888e+00 l1_pixel_x2_opt: 4.5333e-02 fft_pixel_x2_opt: 3.0837e-02 eagle_pixel_x4_opt: 3.5127e+00 l1_pixel_x4_opt: 4.1763e-02 fft_pixel_x4_opt: 3.1956e-02 +2025-11-01 05:41:40,686 INFO: [29..][epoch: 0, step: 37,700, lr:(2.000e-04,)] [eta: 17:00:02, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.3352e+00 l1_pixel_x2_opt: 4.9429e-02 fft_pixel_x2_opt: 3.6513e-02 eagle_pixel_x4_opt: 5.4654e+00 l1_pixel_x4_opt: 4.4743e-02 fft_pixel_x4_opt: 3.8841e-02 +2025-11-01 05:42:46,077 INFO: [29..][epoch: 0, step: 37,800, lr:(2.000e-04,)] [eta: 16:58:41, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 5.8115e+00 l1_pixel_x2_opt: 6.4712e-02 fft_pixel_x2_opt: 4.3771e-02 eagle_pixel_x4_opt: 6.0666e+00 l1_pixel_x4_opt: 6.1804e-02 fft_pixel_x4_opt: 4.5722e-02 +2025-11-01 05:43:51,728 INFO: [29..][epoch: 0, step: 37,900, lr:(2.000e-04,)] [eta: 16:57:20, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.4236e+00 l1_pixel_x2_opt: 6.6569e-02 fft_pixel_x2_opt: 4.7979e-02 eagle_pixel_x4_opt: 8.8674e+00 l1_pixel_x4_opt: 6.0825e-02 fft_pixel_x4_opt: 4.9847e-02 +2025-11-01 05:44:58,359 INFO: [29..][epoch: 0, step: 38,000, lr:(2.000e-04,)] [eta: 16:56:02, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 7.9761e+00 l1_pixel_x2_opt: 8.9214e-02 fft_pixel_x2_opt: 6.2167e-02 eagle_pixel_x4_opt: 9.3877e+00 l1_pixel_x4_opt: 8.2566e-02 fft_pixel_x4_opt: 6.2864e-02 +2025-11-01 05:46:03,970 INFO: [29..][epoch: 0, step: 38,100, lr:(2.000e-04,)] [eta: 16:54:42, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.1878e+00 l1_pixel_x2_opt: 5.5442e-02 fft_pixel_x2_opt: 4.0914e-02 eagle_pixel_x4_opt: 7.1858e+00 l1_pixel_x4_opt: 5.1716e-02 fft_pixel_x4_opt: 4.3546e-02 +2025-11-01 05:47:09,738 INFO: [29..][epoch: 0, step: 38,200, lr:(2.000e-04,)] [eta: 16:53:22, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 6.4201e+00 l1_pixel_x2_opt: 6.6576e-02 fft_pixel_x2_opt: 4.9692e-02 eagle_pixel_x4_opt: 7.8828e+00 l1_pixel_x4_opt: 6.1875e-02 fft_pixel_x4_opt: 5.2218e-02 +2025-11-01 05:48:15,134 INFO: [29..][epoch: 0, step: 38,300, lr:(2.000e-04,)] [eta: 16:52:02, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.7038e+00 l1_pixel_x2_opt: 5.5369e-02 fft_pixel_x2_opt: 4.0710e-02 eagle_pixel_x4_opt: 5.9161e+00 l1_pixel_x4_opt: 5.1707e-02 fft_pixel_x4_opt: 4.3532e-02 +2025-11-01 05:49:20,325 INFO: [29..][epoch: 0, step: 38,400, lr:(2.000e-04,)] [eta: 16:50:41, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.8257e+00 l1_pixel_x2_opt: 6.9857e-02 fft_pixel_x2_opt: 4.9112e-02 eagle_pixel_x4_opt: 8.9351e+00 l1_pixel_x4_opt: 6.5436e-02 fft_pixel_x4_opt: 5.3209e-02 +2025-11-01 05:50:26,065 INFO: [29..][epoch: 0, step: 38,500, lr:(2.000e-04,)] [eta: 16:49:21, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.7140e+00 l1_pixel_x2_opt: 7.2557e-02 fft_pixel_x2_opt: 5.2302e-02 eagle_pixel_x4_opt: 7.8285e+00 l1_pixel_x4_opt: 6.6692e-02 fft_pixel_x4_opt: 5.5994e-02 +2025-11-01 05:51:31,832 INFO: [29..][epoch: 0, step: 38,600, lr:(2.000e-04,)] [eta: 16:48:02, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.4897e+00 l1_pixel_x2_opt: 5.4163e-02 fft_pixel_x2_opt: 4.0556e-02 eagle_pixel_x4_opt: 6.3783e+00 l1_pixel_x4_opt: 5.0147e-02 fft_pixel_x4_opt: 4.3932e-02 +2025-11-01 05:52:37,446 INFO: [29..][epoch: 0, step: 38,700, lr:(2.000e-04,)] [eta: 16:46:42, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.9587e+00 l1_pixel_x2_opt: 6.8175e-02 fft_pixel_x2_opt: 5.1125e-02 eagle_pixel_x4_opt: 7.2936e+00 l1_pixel_x4_opt: 6.1057e-02 fft_pixel_x4_opt: 5.2195e-02 +2025-11-01 05:53:43,374 INFO: [29..][epoch: 0, step: 38,800, lr:(2.000e-04,)] [eta: 16:45:23, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.8475e+00 l1_pixel_x2_opt: 6.3275e-02 fft_pixel_x2_opt: 4.4336e-02 eagle_pixel_x4_opt: 6.4818e+00 l1_pixel_x4_opt: 5.8223e-02 fft_pixel_x4_opt: 4.6594e-02 +2025-11-01 05:54:49,224 INFO: [29..][epoch: 0, step: 38,900, lr:(2.000e-04,)] [eta: 16:44:04, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.4059e+00 l1_pixel_x2_opt: 6.1255e-02 fft_pixel_x2_opt: 4.3863e-02 eagle_pixel_x4_opt: 6.1195e+00 l1_pixel_x4_opt: 5.5926e-02 fft_pixel_x4_opt: 4.5366e-02 +2025-11-01 05:55:54,813 INFO: [29..][epoch: 0, step: 39,000, lr:(2.000e-04,)] [eta: 16:42:44, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.1305e+00 l1_pixel_x2_opt: 4.8624e-02 fft_pixel_x2_opt: 3.5365e-02 eagle_pixel_x4_opt: 4.8667e+00 l1_pixel_x4_opt: 4.3268e-02 fft_pixel_x4_opt: 3.7364e-02 +2025-11-01 05:57:00,491 INFO: [29..][epoch: 0, step: 39,100, lr:(2.000e-04,)] [eta: 16:41:25, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.3946e+00 l1_pixel_x2_opt: 4.8551e-02 fft_pixel_x2_opt: 3.5138e-02 eagle_pixel_x4_opt: 5.6291e+00 l1_pixel_x4_opt: 4.5333e-02 fft_pixel_x4_opt: 3.8257e-02 +2025-11-01 05:58:06,134 INFO: [29..][epoch: 0, step: 39,200, lr:(2.000e-04,)] [eta: 16:40:05, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 4.6805e+00 l1_pixel_x2_opt: 5.9889e-02 fft_pixel_x2_opt: 3.9558e-02 eagle_pixel_x4_opt: 5.3486e+00 l1_pixel_x4_opt: 5.4705e-02 fft_pixel_x4_opt: 3.9766e-02 +2025-11-01 05:59:11,597 INFO: [29..][epoch: 0, step: 39,300, lr:(2.000e-04,)] [eta: 16:38:46, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.6990e+00 l1_pixel_x2_opt: 6.2866e-02 fft_pixel_x2_opt: 4.4829e-02 eagle_pixel_x4_opt: 5.9581e+00 l1_pixel_x4_opt: 5.9010e-02 fft_pixel_x4_opt: 4.7109e-02 +2025-11-01 06:00:17,234 INFO: [29..][epoch: 0, step: 39,400, lr:(2.000e-04,)] [eta: 16:37:26, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.6949e+00 l1_pixel_x2_opt: 5.5970e-02 fft_pixel_x2_opt: 3.9006e-02 eagle_pixel_x4_opt: 5.5059e+00 l1_pixel_x4_opt: 5.1825e-02 fft_pixel_x4_opt: 4.0295e-02 +2025-11-01 06:01:22,576 INFO: [29..][epoch: 0, step: 39,500, lr:(2.000e-04,)] [eta: 16:36:07, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.1405e+00 l1_pixel_x2_opt: 5.8296e-02 fft_pixel_x2_opt: 3.9499e-02 eagle_pixel_x4_opt: 5.0854e+00 l1_pixel_x4_opt: 5.3540e-02 fft_pixel_x4_opt: 4.1137e-02 +2025-11-01 06:02:28,055 INFO: [29..][epoch: 0, step: 39,600, lr:(2.000e-04,)] [eta: 16:34:47, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.5895e+00 l1_pixel_x2_opt: 6.4384e-02 fft_pixel_x2_opt: 4.3827e-02 eagle_pixel_x4_opt: 5.2515e+00 l1_pixel_x4_opt: 5.8828e-02 fft_pixel_x4_opt: 4.4543e-02 +2025-11-01 06:03:33,617 INFO: [29..][epoch: 0, step: 39,700, lr:(2.000e-04,)] [eta: 16:33:28, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.5873e+00 l1_pixel_x2_opt: 6.4328e-02 fft_pixel_x2_opt: 4.4579e-02 eagle_pixel_x4_opt: 6.2746e+00 l1_pixel_x4_opt: 6.1007e-02 fft_pixel_x4_opt: 4.7756e-02 +2025-11-01 06:04:38,965 INFO: [29..][epoch: 0, step: 39,800, lr:(2.000e-04,)] [eta: 16:32:08, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 3.5373e+00 l1_pixel_x2_opt: 4.8488e-02 fft_pixel_x2_opt: 3.5191e-02 eagle_pixel_x4_opt: 4.4030e+00 l1_pixel_x4_opt: 4.2843e-02 fft_pixel_x4_opt: 3.6305e-02 +2025-11-01 06:05:44,684 INFO: [29..][epoch: 0, step: 39,900, lr:(2.000e-04,)] [eta: 16:30:50, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.8120e+00 l1_pixel_x2_opt: 6.7745e-02 fft_pixel_x2_opt: 4.3077e-02 eagle_pixel_x4_opt: 6.1472e+00 l1_pixel_x4_opt: 6.3376e-02 fft_pixel_x4_opt: 4.3706e-02 +2025-11-01 06:06:50,873 INFO: [29..][epoch: 0, step: 40,000, lr:(2.000e-04,)] [eta: 16:29:32, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.5715e+00 l1_pixel_x2_opt: 5.8430e-02 fft_pixel_x2_opt: 3.9695e-02 eagle_pixel_x4_opt: 6.1176e+00 l1_pixel_x4_opt: 5.4899e-02 fft_pixel_x4_opt: 4.2590e-02 +2025-11-01 06:06:50,874 INFO: Saving models and training states. +2025-11-01 06:08:08,121 INFO: Validation val_x2 + # l1_latent: 1.4928 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8350 Best: 27.8350 @ 40000 iter + +2025-11-01 06:10:37,542 INFO: Validation val_x4 + # l1_latent: 1.6701 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3242 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.9775 Best: 27.9775 @ 40000 iter + +2025-11-01 06:11:44,346 INFO: [29..][epoch: 0, step: 40,100, lr:(2.000e-04,)] [eta: 16:36:16, time (data): 0.668 (0.000)] eagle_pixel_x2_opt: 4.7543e+00 l1_pixel_x2_opt: 5.5897e-02 fft_pixel_x2_opt: 4.1397e-02 eagle_pixel_x4_opt: 5.9047e+00 l1_pixel_x4_opt: 5.0811e-02 fft_pixel_x4_opt: 4.4685e-02 +2025-11-01 06:12:49,645 INFO: [29..][epoch: 0, step: 40,200, lr:(2.000e-04,)] [eta: 16:34:54, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.3026e+00 l1_pixel_x2_opt: 6.1804e-02 fft_pixel_x2_opt: 4.2228e-02 eagle_pixel_x4_opt: 5.1823e+00 l1_pixel_x4_opt: 5.6692e-02 fft_pixel_x4_opt: 4.3147e-02 +2025-11-01 06:13:55,602 INFO: [29..][epoch: 0, step: 40,300, lr:(2.000e-04,)] [eta: 16:33:35, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.6275e+00 l1_pixel_x2_opt: 6.0943e-02 fft_pixel_x2_opt: 4.2538e-02 eagle_pixel_x4_opt: 5.1215e+00 l1_pixel_x4_opt: 5.5989e-02 fft_pixel_x4_opt: 4.3461e-02 +2025-11-01 06:15:01,223 INFO: [29..][epoch: 0, step: 40,400, lr:(2.000e-04,)] [eta: 16:32:14, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.5206e+00 l1_pixel_x2_opt: 4.8542e-02 fft_pixel_x2_opt: 3.3653e-02 eagle_pixel_x4_opt: 4.2492e+00 l1_pixel_x4_opt: 4.5861e-02 fft_pixel_x4_opt: 3.5496e-02 +2025-11-01 06:16:07,035 INFO: [29..][epoch: 0, step: 40,500, lr:(2.000e-04,)] [eta: 16:30:54, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.6379e+00 l1_pixel_x2_opt: 5.9343e-02 fft_pixel_x2_opt: 4.2398e-02 eagle_pixel_x4_opt: 5.3042e+00 l1_pixel_x4_opt: 5.4955e-02 fft_pixel_x4_opt: 4.2735e-02 +2025-11-01 06:17:12,296 INFO: [29..][epoch: 0, step: 40,600, lr:(2.000e-04,)] [eta: 16:29:33, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.7309e+00 l1_pixel_x2_opt: 5.3408e-02 fft_pixel_x2_opt: 3.8273e-02 eagle_pixel_x4_opt: 6.0764e+00 l1_pixel_x4_opt: 5.0200e-02 fft_pixel_x4_opt: 4.0601e-02 +2025-11-01 06:18:17,894 INFO: [29..][epoch: 0, step: 40,700, lr:(2.000e-04,)] [eta: 16:28:13, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.1754e+00 l1_pixel_x2_opt: 6.2767e-02 fft_pixel_x2_opt: 4.8004e-02 eagle_pixel_x4_opt: 7.9699e+00 l1_pixel_x4_opt: 5.9042e-02 fft_pixel_x4_opt: 5.0842e-02 +2025-11-01 06:19:23,554 INFO: [29..][epoch: 0, step: 40,800, lr:(2.000e-04,)] [eta: 16:26:53, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.8671e+00 l1_pixel_x2_opt: 5.0858e-02 fft_pixel_x2_opt: 3.5854e-02 eagle_pixel_x4_opt: 5.5041e+00 l1_pixel_x4_opt: 4.6977e-02 fft_pixel_x4_opt: 3.9207e-02 +2025-11-01 06:20:29,201 INFO: [29..][epoch: 0, step: 40,900, lr:(2.000e-04,)] [eta: 16:25:33, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.5866e+00 l1_pixel_x2_opt: 3.9115e-02 fft_pixel_x2_opt: 2.9169e-02 eagle_pixel_x4_opt: 4.5357e+00 l1_pixel_x4_opt: 3.7539e-02 fft_pixel_x4_opt: 3.0859e-02 +2025-11-01 06:21:34,538 INFO: [29..][epoch: 0, step: 41,000, lr:(2.000e-04,)] [eta: 16:24:13, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.7572e+00 l1_pixel_x2_opt: 5.0631e-02 fft_pixel_x2_opt: 3.6066e-02 eagle_pixel_x4_opt: 4.4785e+00 l1_pixel_x4_opt: 4.7682e-02 fft_pixel_x4_opt: 3.7668e-02 +2025-11-01 06:22:40,443 INFO: [29..][epoch: 0, step: 41,100, lr:(2.000e-04,)] [eta: 16:22:54, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.8682e+00 l1_pixel_x2_opt: 5.1243e-02 fft_pixel_x2_opt: 3.6922e-02 eagle_pixel_x4_opt: 7.1598e+00 l1_pixel_x4_opt: 4.8876e-02 fft_pixel_x4_opt: 3.9029e-02 +2025-11-01 06:23:46,211 INFO: [29..][epoch: 0, step: 41,200, lr:(2.000e-04,)] [eta: 16:21:34, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.4473e+00 l1_pixel_x2_opt: 7.1830e-02 fft_pixel_x2_opt: 5.3079e-02 eagle_pixel_x4_opt: 7.4635e+00 l1_pixel_x4_opt: 6.6572e-02 fft_pixel_x4_opt: 5.5014e-02 +2025-11-01 06:24:51,823 INFO: [29..][epoch: 0, step: 41,300, lr:(2.000e-04,)] [eta: 16:20:14, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.8068e+00 l1_pixel_x2_opt: 6.4735e-02 fft_pixel_x2_opt: 4.5955e-02 eagle_pixel_x4_opt: 5.7901e+00 l1_pixel_x4_opt: 5.8258e-02 fft_pixel_x4_opt: 4.5284e-02 +2025-11-01 06:25:57,496 INFO: [29..][epoch: 0, step: 41,400, lr:(2.000e-04,)] [eta: 16:18:55, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.3796e+00 l1_pixel_x2_opt: 4.7662e-02 fft_pixel_x2_opt: 3.6182e-02 eagle_pixel_x4_opt: 5.2258e+00 l1_pixel_x4_opt: 4.2418e-02 fft_pixel_x4_opt: 3.7598e-02 +2025-11-01 06:27:03,040 INFO: [29..][epoch: 0, step: 41,500, lr:(2.000e-04,)] [eta: 16:17:35, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.3996e+00 l1_pixel_x2_opt: 6.0673e-02 fft_pixel_x2_opt: 4.3439e-02 eagle_pixel_x4_opt: 7.0222e+00 l1_pixel_x4_opt: 5.6226e-02 fft_pixel_x4_opt: 4.5344e-02 +2025-11-01 06:28:08,489 INFO: [29..][epoch: 0, step: 41,600, lr:(2.000e-04,)] [eta: 16:16:15, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.4411e+00 l1_pixel_x2_opt: 5.9864e-02 fft_pixel_x2_opt: 4.2149e-02 eagle_pixel_x4_opt: 6.8769e+00 l1_pixel_x4_opt: 5.7265e-02 fft_pixel_x4_opt: 4.4677e-02 +2025-11-01 06:29:13,955 INFO: [29..][epoch: 0, step: 41,700, lr:(2.000e-04,)] [eta: 16:14:55, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.9207e+00 l1_pixel_x2_opt: 6.6687e-02 fft_pixel_x2_opt: 4.8719e-02 eagle_pixel_x4_opt: 7.6885e+00 l1_pixel_x4_opt: 6.3245e-02 fft_pixel_x4_opt: 5.0449e-02 +2025-11-01 06:30:19,344 INFO: [29..][epoch: 0, step: 41,800, lr:(2.000e-04,)] [eta: 16:13:36, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.6909e+00 l1_pixel_x2_opt: 5.3047e-02 fft_pixel_x2_opt: 3.8538e-02 eagle_pixel_x4_opt: 5.3335e+00 l1_pixel_x4_opt: 4.9105e-02 fft_pixel_x4_opt: 4.0394e-02 +2025-11-01 06:31:25,059 INFO: [29..][epoch: 0, step: 41,900, lr:(2.000e-04,)] [eta: 16:12:16, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.2712e+00 l1_pixel_x2_opt: 5.3684e-02 fft_pixel_x2_opt: 3.7785e-02 eagle_pixel_x4_opt: 4.7168e+00 l1_pixel_x4_opt: 5.0595e-02 fft_pixel_x4_opt: 3.9544e-02 +2025-11-01 06:32:30,296 INFO: [29..][epoch: 0, step: 42,000, lr:(2.000e-04,)] [eta: 16:10:56, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.6478e+00 l1_pixel_x2_opt: 6.3976e-02 fft_pixel_x2_opt: 4.4076e-02 eagle_pixel_x4_opt: 5.8380e+00 l1_pixel_x4_opt: 5.8499e-02 fft_pixel_x4_opt: 4.5263e-02 +2025-11-01 06:33:35,969 INFO: [29..][epoch: 0, step: 42,100, lr:(2.000e-04,)] [eta: 16:09:37, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.2357e+00 l1_pixel_x2_opt: 6.0230e-02 fft_pixel_x2_opt: 4.4012e-02 eagle_pixel_x4_opt: 6.2602e+00 l1_pixel_x4_opt: 5.6282e-02 fft_pixel_x4_opt: 4.5410e-02 +2025-11-01 06:34:41,310 INFO: [29..][epoch: 0, step: 42,200, lr:(2.000e-04,)] [eta: 16:08:18, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.1320e+00 l1_pixel_x2_opt: 6.5187e-02 fft_pixel_x2_opt: 4.7133e-02 eagle_pixel_x4_opt: 6.4110e+00 l1_pixel_x4_opt: 6.0591e-02 fft_pixel_x4_opt: 5.0562e-02 +2025-11-01 06:35:46,941 INFO: [29..][epoch: 0, step: 42,300, lr:(2.000e-04,)] [eta: 16:06:59, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.2657e+00 l1_pixel_x2_opt: 5.2197e-02 fft_pixel_x2_opt: 3.7277e-02 eagle_pixel_x4_opt: 5.4843e+00 l1_pixel_x4_opt: 4.7549e-02 fft_pixel_x4_opt: 3.9307e-02 +2025-11-01 06:36:52,532 INFO: [29..][epoch: 0, step: 42,400, lr:(2.000e-04,)] [eta: 16:05:40, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 7.8150e+00 l1_pixel_x2_opt: 6.5760e-02 fft_pixel_x2_opt: 5.0749e-02 eagle_pixel_x4_opt: 9.7491e+00 l1_pixel_x4_opt: 6.1389e-02 fft_pixel_x4_opt: 5.3906e-02 +2025-11-01 06:37:58,477 INFO: [29..][epoch: 0, step: 42,500, lr:(2.000e-04,)] [eta: 16:04:21, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.4343e+00 l1_pixel_x2_opt: 5.8047e-02 fft_pixel_x2_opt: 3.9732e-02 eagle_pixel_x4_opt: 5.3799e+00 l1_pixel_x4_opt: 5.3741e-02 fft_pixel_x4_opt: 4.0979e-02 +2025-11-01 06:37:58,478 INFO: Saving models and training states. +2025-11-01 06:39:05,142 INFO: [29..][epoch: 0, step: 42,600, lr:(2.000e-04,)] [eta: 16:03:04, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.4894e+00 l1_pixel_x2_opt: 5.3209e-02 fft_pixel_x2_opt: 3.8846e-02 eagle_pixel_x4_opt: 7.0909e+00 l1_pixel_x4_opt: 5.0366e-02 fft_pixel_x4_opt: 4.2794e-02 +2025-11-01 06:40:10,536 INFO: [29..][epoch: 0, step: 42,700, lr:(2.000e-04,)] [eta: 16:01:45, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.4315e+00 l1_pixel_x2_opt: 5.8683e-02 fft_pixel_x2_opt: 4.4578e-02 eagle_pixel_x4_opt: 6.3618e+00 l1_pixel_x4_opt: 5.3274e-02 fft_pixel_x4_opt: 4.7159e-02 +2025-11-01 06:41:16,567 INFO: [29..][epoch: 0, step: 42,800, lr:(2.000e-04,)] [eta: 16:00:27, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.8934e+00 l1_pixel_x2_opt: 6.0406e-02 fft_pixel_x2_opt: 4.2539e-02 eagle_pixel_x4_opt: 6.6256e+00 l1_pixel_x4_opt: 5.6924e-02 fft_pixel_x4_opt: 4.4917e-02 +2025-11-01 06:42:22,504 INFO: [29..][epoch: 0, step: 42,900, lr:(2.000e-04,)] [eta: 15:59:09, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.9245e+00 l1_pixel_x2_opt: 6.3236e-02 fft_pixel_x2_opt: 4.7420e-02 eagle_pixel_x4_opt: 5.7116e+00 l1_pixel_x4_opt: 5.5519e-02 fft_pixel_x4_opt: 4.8944e-02 +2025-11-01 06:43:28,055 INFO: [29..][epoch: 0, step: 43,000, lr:(2.000e-04,)] [eta: 15:57:50, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.7026e+00 l1_pixel_x2_opt: 4.3515e-02 fft_pixel_x2_opt: 3.1628e-02 eagle_pixel_x4_opt: 4.8132e+00 l1_pixel_x4_opt: 3.9631e-02 fft_pixel_x4_opt: 3.3586e-02 +2025-11-01 06:44:33,490 INFO: [29..][epoch: 0, step: 43,100, lr:(2.000e-04,)] [eta: 15:56:31, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.1206e+00 l1_pixel_x2_opt: 5.1982e-02 fft_pixel_x2_opt: 3.8355e-02 eagle_pixel_x4_opt: 6.5481e+00 l1_pixel_x4_opt: 4.9079e-02 fft_pixel_x4_opt: 4.1461e-02 +2025-11-01 06:45:39,015 INFO: [29..][epoch: 0, step: 43,200, lr:(2.000e-04,)] [eta: 15:55:12, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.1645e+00 l1_pixel_x2_opt: 5.8126e-02 fft_pixel_x2_opt: 4.0186e-02 eagle_pixel_x4_opt: 5.4961e+00 l1_pixel_x4_opt: 5.3197e-02 fft_pixel_x4_opt: 4.1749e-02 +2025-11-01 06:46:44,495 INFO: [29..][epoch: 0, step: 43,300, lr:(2.000e-04,)] [eta: 15:53:54, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.9005e+00 l1_pixel_x2_opt: 6.4782e-02 fft_pixel_x2_opt: 4.7309e-02 eagle_pixel_x4_opt: 5.6597e+00 l1_pixel_x4_opt: 5.9443e-02 fft_pixel_x4_opt: 4.9832e-02 +2025-11-01 06:47:49,637 INFO: [29..][epoch: 0, step: 43,400, lr:(2.000e-04,)] [eta: 15:52:35, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.8014e+00 l1_pixel_x2_opt: 6.0368e-02 fft_pixel_x2_opt: 4.0058e-02 eagle_pixel_x4_opt: 5.8790e+00 l1_pixel_x4_opt: 5.9058e-02 fft_pixel_x4_opt: 4.3137e-02 +2025-11-01 06:48:55,724 INFO: [29..][epoch: 0, step: 43,500, lr:(2.000e-04,)] [eta: 15:51:17, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 3.9103e+00 l1_pixel_x2_opt: 5.0776e-02 fft_pixel_x2_opt: 3.6055e-02 eagle_pixel_x4_opt: 4.8952e+00 l1_pixel_x4_opt: 4.5401e-02 fft_pixel_x4_opt: 3.7584e-02 +2025-11-01 06:50:01,045 INFO: [29..][epoch: 0, step: 43,600, lr:(2.000e-04,)] [eta: 15:49:58, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.9390e+00 l1_pixel_x2_opt: 5.8868e-02 fft_pixel_x2_opt: 3.7516e-02 eagle_pixel_x4_opt: 5.0433e+00 l1_pixel_x4_opt: 5.4319e-02 fft_pixel_x4_opt: 3.9195e-02 +2025-11-01 06:51:06,095 INFO: [29..][epoch: 0, step: 43,700, lr:(2.000e-04,)] [eta: 15:48:39, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 4.4567e+00 l1_pixel_x2_opt: 4.8863e-02 fft_pixel_x2_opt: 3.7672e-02 eagle_pixel_x4_opt: 5.9184e+00 l1_pixel_x4_opt: 4.5002e-02 fft_pixel_x4_opt: 4.0193e-02 +2025-11-01 06:52:11,946 INFO: [29..][epoch: 0, step: 43,800, lr:(2.000e-04,)] [eta: 15:47:21, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.3709e+00 l1_pixel_x2_opt: 5.9604e-02 fft_pixel_x2_opt: 4.1879e-02 eagle_pixel_x4_opt: 6.1399e+00 l1_pixel_x4_opt: 5.4408e-02 fft_pixel_x4_opt: 4.4543e-02 +2025-11-01 06:53:17,676 INFO: [29..][epoch: 0, step: 43,900, lr:(2.000e-04,)] [eta: 15:46:04, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.2600e+00 l1_pixel_x2_opt: 5.7818e-02 fft_pixel_x2_opt: 4.0235e-02 eagle_pixel_x4_opt: 5.7581e+00 l1_pixel_x4_opt: 5.0481e-02 fft_pixel_x4_opt: 4.1446e-02 +2025-11-01 06:54:22,979 INFO: [29..][epoch: 0, step: 44,000, lr:(2.000e-04,)] [eta: 15:44:45, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 3.6255e+00 l1_pixel_x2_opt: 4.7310e-02 fft_pixel_x2_opt: 3.3388e-02 eagle_pixel_x4_opt: 4.7537e+00 l1_pixel_x4_opt: 4.2809e-02 fft_pixel_x4_opt: 3.5541e-02 +2025-11-01 06:55:29,186 INFO: [29..][epoch: 0, step: 44,100, lr:(2.000e-04,)] [eta: 15:43:28, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.6364e+00 l1_pixel_x2_opt: 5.8013e-02 fft_pixel_x2_opt: 4.0338e-02 eagle_pixel_x4_opt: 5.5115e+00 l1_pixel_x4_opt: 5.3900e-02 fft_pixel_x4_opt: 4.2023e-02 +2025-11-01 06:56:35,034 INFO: [29..][epoch: 0, step: 44,200, lr:(2.000e-04,)] [eta: 15:42:10, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.6047e+00 l1_pixel_x2_opt: 6.3919e-02 fft_pixel_x2_opt: 4.5815e-02 eagle_pixel_x4_opt: 6.8086e+00 l1_pixel_x4_opt: 5.9428e-02 fft_pixel_x4_opt: 4.6988e-02 +2025-11-01 06:57:40,761 INFO: [29..][epoch: 0, step: 44,300, lr:(2.000e-04,)] [eta: 15:40:53, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.5734e+00 l1_pixel_x2_opt: 5.9436e-02 fft_pixel_x2_opt: 4.1615e-02 eagle_pixel_x4_opt: 5.1898e+00 l1_pixel_x4_opt: 5.3364e-02 fft_pixel_x4_opt: 4.2068e-02 +2025-11-01 06:58:46,785 INFO: [29..][epoch: 0, step: 44,400, lr:(2.000e-04,)] [eta: 15:39:36, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.4855e+00 l1_pixel_x2_opt: 5.7878e-02 fft_pixel_x2_opt: 3.8709e-02 eagle_pixel_x4_opt: 6.0216e+00 l1_pixel_x4_opt: 5.6814e-02 fft_pixel_x4_opt: 4.1851e-02 +2025-11-01 06:59:52,476 INFO: [29..][epoch: 0, step: 44,500, lr:(2.000e-04,)] [eta: 15:38:18, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.8661e+00 l1_pixel_x2_opt: 5.3845e-02 fft_pixel_x2_opt: 3.8626e-02 eagle_pixel_x4_opt: 5.2754e+00 l1_pixel_x4_opt: 4.9302e-02 fft_pixel_x4_opt: 4.1146e-02 +2025-11-01 07:00:58,020 INFO: [29..][epoch: 0, step: 44,600, lr:(2.000e-04,)] [eta: 15:37:00, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 7.1402e+00 l1_pixel_x2_opt: 6.7222e-02 fft_pixel_x2_opt: 4.8382e-02 eagle_pixel_x4_opt: 7.7476e+00 l1_pixel_x4_opt: 6.2366e-02 fft_pixel_x4_opt: 5.0170e-02 +2025-11-01 07:02:03,678 INFO: [29..][epoch: 0, step: 44,700, lr:(2.000e-04,)] [eta: 15:35:43, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.4632e+00 l1_pixel_x2_opt: 6.3732e-02 fft_pixel_x2_opt: 4.7810e-02 eagle_pixel_x4_opt: 6.0905e+00 l1_pixel_x4_opt: 5.6563e-02 fft_pixel_x4_opt: 4.8436e-02 +2025-11-01 07:03:09,460 INFO: [29..][epoch: 0, step: 44,800, lr:(2.000e-04,)] [eta: 15:34:25, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.1334e+00 l1_pixel_x2_opt: 4.5767e-02 fft_pixel_x2_opt: 3.5769e-02 eagle_pixel_x4_opt: 5.7025e+00 l1_pixel_x4_opt: 4.1988e-02 fft_pixel_x4_opt: 3.6907e-02 +2025-11-01 07:04:15,508 INFO: [29..][epoch: 0, step: 44,900, lr:(2.000e-04,)] [eta: 15:33:08, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.8626e+00 l1_pixel_x2_opt: 6.0352e-02 fft_pixel_x2_opt: 4.3065e-02 eagle_pixel_x4_opt: 6.3487e+00 l1_pixel_x4_opt: 5.4512e-02 fft_pixel_x4_opt: 4.3925e-02 +2025-11-01 07:05:21,349 INFO: [29..][epoch: 0, step: 45,000, lr:(2.000e-04,)] [eta: 15:31:51, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.3046e+00 l1_pixel_x2_opt: 5.3240e-02 fft_pixel_x2_opt: 3.9715e-02 eagle_pixel_x4_opt: 6.3831e+00 l1_pixel_x4_opt: 5.0109e-02 fft_pixel_x4_opt: 4.0990e-02 +2025-11-01 07:05:21,350 INFO: Saving models and training states. +2025-11-01 07:06:45,442 INFO: Validation val_x2 + # l1_latent: 1.4904 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8427 Best: 27.8427 @ 45000 iter + +2025-11-01 07:09:18,450 INFO: Validation val_x4 + # l1_latent: 1.6759 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3528 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 27.9811 Best: 27.9811 @ 45000 iter + +2025-11-01 07:10:24,482 INFO: [29..][epoch: 0, step: 45,100, lr:(2.000e-04,)] [eta: 15:37:35, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.4028e+00 l1_pixel_x2_opt: 6.7505e-02 fft_pixel_x2_opt: 4.9161e-02 eagle_pixel_x4_opt: 7.2202e+00 l1_pixel_x4_opt: 6.0639e-02 fft_pixel_x4_opt: 4.8463e-02 +2025-11-01 07:11:29,500 INFO: [29..][epoch: 0, step: 45,200, lr:(2.000e-04,)] [eta: 15:36:15, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.0296e+00 l1_pixel_x2_opt: 6.0994e-02 fft_pixel_x2_opt: 4.3785e-02 eagle_pixel_x4_opt: 6.2293e+00 l1_pixel_x4_opt: 5.6199e-02 fft_pixel_x4_opt: 4.7071e-02 +2025-11-01 07:12:35,448 INFO: [29..][epoch: 0, step: 45,300, lr:(2.000e-04,)] [eta: 15:34:57, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.0452e+00 l1_pixel_x2_opt: 6.0414e-02 fft_pixel_x2_opt: 4.0836e-02 eagle_pixel_x4_opt: 4.2024e+00 l1_pixel_x4_opt: 5.5270e-02 fft_pixel_x4_opt: 4.1377e-02 +2025-11-01 07:13:41,550 INFO: [29..][epoch: 0, step: 45,400, lr:(2.000e-04,)] [eta: 15:33:39, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 6.0877e+00 l1_pixel_x2_opt: 6.5338e-02 fft_pixel_x2_opt: 4.6066e-02 eagle_pixel_x4_opt: 7.9862e+00 l1_pixel_x4_opt: 6.0501e-02 fft_pixel_x4_opt: 4.8395e-02 +2025-11-01 07:14:47,194 INFO: [29..][epoch: 0, step: 45,500, lr:(2.000e-04,)] [eta: 15:32:20, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.8638e+00 l1_pixel_x2_opt: 5.4683e-02 fft_pixel_x2_opt: 3.8826e-02 eagle_pixel_x4_opt: 6.5515e+00 l1_pixel_x4_opt: 5.1142e-02 fft_pixel_x4_opt: 4.1889e-02 +2025-11-01 07:15:52,725 INFO: [29..][epoch: 0, step: 45,600, lr:(2.000e-04,)] [eta: 15:31:01, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.2006e+00 l1_pixel_x2_opt: 6.7740e-02 fft_pixel_x2_opt: 5.0242e-02 eagle_pixel_x4_opt: 6.1684e+00 l1_pixel_x4_opt: 6.1140e-02 fft_pixel_x4_opt: 5.1647e-02 +2025-11-01 07:16:58,553 INFO: [29..][epoch: 0, step: 45,700, lr:(2.000e-04,)] [eta: 15:29:43, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.0741e+00 l1_pixel_x2_opt: 6.4161e-02 fft_pixel_x2_opt: 4.4976e-02 eagle_pixel_x4_opt: 7.2084e+00 l1_pixel_x4_opt: 5.9895e-02 fft_pixel_x4_opt: 4.6442e-02 +2025-11-01 07:18:04,207 INFO: [29..][epoch: 0, step: 45,800, lr:(2.000e-04,)] [eta: 15:28:25, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.6365e+00 l1_pixel_x2_opt: 5.0125e-02 fft_pixel_x2_opt: 3.8008e-02 eagle_pixel_x4_opt: 7.0822e+00 l1_pixel_x4_opt: 4.6860e-02 fft_pixel_x4_opt: 4.1169e-02 +2025-11-01 07:19:10,650 INFO: [29..][epoch: 0, step: 45,900, lr:(2.000e-04,)] [eta: 15:27:07, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 3.6543e+00 l1_pixel_x2_opt: 5.3870e-02 fft_pixel_x2_opt: 3.6574e-02 eagle_pixel_x4_opt: 4.4680e+00 l1_pixel_x4_opt: 4.9771e-02 fft_pixel_x4_opt: 3.7886e-02 +2025-11-01 07:20:16,062 INFO: [29..][epoch: 0, step: 46,000, lr:(2.000e-04,)] [eta: 15:25:49, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.8569e+00 l1_pixel_x2_opt: 5.8146e-02 fft_pixel_x2_opt: 3.8131e-02 eagle_pixel_x4_opt: 4.9760e+00 l1_pixel_x4_opt: 5.4273e-02 fft_pixel_x4_opt: 3.9116e-02 +2025-11-01 07:21:21,733 INFO: [29..][epoch: 0, step: 46,100, lr:(2.000e-04,)] [eta: 15:24:30, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.9628e+00 l1_pixel_x2_opt: 5.5090e-02 fft_pixel_x2_opt: 3.8652e-02 eagle_pixel_x4_opt: 5.2119e+00 l1_pixel_x4_opt: 4.9969e-02 fft_pixel_x4_opt: 3.9509e-02 +2025-11-01 07:22:27,589 INFO: [29..][epoch: 0, step: 46,200, lr:(2.000e-04,)] [eta: 15:23:13, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.8221e+00 l1_pixel_x2_opt: 4.6192e-02 fft_pixel_x2_opt: 3.2836e-02 eagle_pixel_x4_opt: 5.2076e+00 l1_pixel_x4_opt: 4.4298e-02 fft_pixel_x4_opt: 3.5645e-02 +2025-11-01 07:23:33,146 INFO: [29..][epoch: 0, step: 46,300, lr:(2.000e-04,)] [eta: 15:21:54, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.2109e+00 l1_pixel_x2_opt: 6.0709e-02 fft_pixel_x2_opt: 4.1054e-02 eagle_pixel_x4_opt: 5.8827e+00 l1_pixel_x4_opt: 5.5985e-02 fft_pixel_x4_opt: 4.3241e-02 +2025-11-01 07:24:38,670 INFO: [29..][epoch: 0, step: 46,400, lr:(2.000e-04,)] [eta: 15:20:36, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.8154e+00 l1_pixel_x2_opt: 5.6993e-02 fft_pixel_x2_opt: 3.7299e-02 eagle_pixel_x4_opt: 4.6456e+00 l1_pixel_x4_opt: 5.2691e-02 fft_pixel_x4_opt: 3.8954e-02 +2025-11-01 07:25:50,175 INFO: [29..][epoch: 0, step: 46,500, lr:(2.000e-04,)] [eta: 15:19:28, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.2823e+00 l1_pixel_x2_opt: 5.6007e-02 fft_pixel_x2_opt: 3.7255e-02 eagle_pixel_x4_opt: 6.0175e+00 l1_pixel_x4_opt: 5.4169e-02 fft_pixel_x4_opt: 3.9826e-02 +2025-11-01 07:26:56,050 INFO: [29..][epoch: 0, step: 46,600, lr:(2.000e-04,)] [eta: 15:18:10, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.5889e+00 l1_pixel_x2_opt: 4.9645e-02 fft_pixel_x2_opt: 3.6620e-02 eagle_pixel_x4_opt: 5.7804e+00 l1_pixel_x4_opt: 4.6941e-02 fft_pixel_x4_opt: 3.9597e-02 +2025-11-01 07:28:01,913 INFO: [29..][epoch: 0, step: 46,700, lr:(2.000e-04,)] [eta: 15:16:52, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.5911e+00 l1_pixel_x2_opt: 5.9944e-02 fft_pixel_x2_opt: 4.3368e-02 eagle_pixel_x4_opt: 6.7785e+00 l1_pixel_x4_opt: 5.5417e-02 fft_pixel_x4_opt: 4.7102e-02 +2025-11-01 07:29:13,687 INFO: [29..][epoch: 0, step: 46,800, lr:(2.000e-04,)] [eta: 15:15:45, time (data): 0.694 (0.000)] eagle_pixel_x2_opt: 4.7844e+00 l1_pixel_x2_opt: 6.0674e-02 fft_pixel_x2_opt: 4.1391e-02 eagle_pixel_x4_opt: 6.1408e+00 l1_pixel_x4_opt: 5.4995e-02 fft_pixel_x4_opt: 4.3476e-02 +2025-11-01 07:30:19,792 INFO: [29..][epoch: 0, step: 46,900, lr:(2.000e-04,)] [eta: 15:14:27, time (data): 0.664 (0.000)] eagle_pixel_x2_opt: 3.6868e+00 l1_pixel_x2_opt: 5.4821e-02 fft_pixel_x2_opt: 3.6860e-02 eagle_pixel_x4_opt: 4.4951e+00 l1_pixel_x4_opt: 4.9261e-02 fft_pixel_x4_opt: 3.6978e-02 +2025-11-01 07:31:26,335 INFO: [29..][epoch: 0, step: 47,000, lr:(2.000e-04,)] [eta: 15:13:11, time (data): 0.665 (0.000)] eagle_pixel_x2_opt: 4.7307e+00 l1_pixel_x2_opt: 6.0879e-02 fft_pixel_x2_opt: 4.1992e-02 eagle_pixel_x4_opt: 5.3057e+00 l1_pixel_x4_opt: 5.5771e-02 fft_pixel_x4_opt: 4.2746e-02 +2025-11-01 07:32:31,666 INFO: [29..][epoch: 0, step: 47,100, lr:(2.000e-04,)] [eta: 15:11:53, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.3321e+00 l1_pixel_x2_opt: 6.3261e-02 fft_pixel_x2_opt: 4.1791e-02 eagle_pixel_x4_opt: 4.8098e+00 l1_pixel_x4_opt: 5.6987e-02 fft_pixel_x4_opt: 4.2138e-02 +2025-11-01 07:33:37,977 INFO: [29..][epoch: 0, step: 47,200, lr:(2.000e-04,)] [eta: 15:10:36, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 3.8395e+00 l1_pixel_x2_opt: 5.0245e-02 fft_pixel_x2_opt: 3.5740e-02 eagle_pixel_x4_opt: 4.9047e+00 l1_pixel_x4_opt: 4.5998e-02 fft_pixel_x4_opt: 3.8044e-02 +2025-11-01 07:34:43,985 INFO: [29..][epoch: 0, step: 47,300, lr:(2.000e-04,)] [eta: 15:09:19, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.0244e+00 l1_pixel_x2_opt: 4.6111e-02 fft_pixel_x2_opt: 3.1352e-02 eagle_pixel_x4_opt: 4.3484e+00 l1_pixel_x4_opt: 4.2971e-02 fft_pixel_x4_opt: 3.3775e-02 +2025-11-01 07:35:49,835 INFO: [29..][epoch: 0, step: 47,400, lr:(2.000e-04,)] [eta: 15:08:01, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 7.2301e+00 l1_pixel_x2_opt: 7.3482e-02 fft_pixel_x2_opt: 5.1810e-02 eagle_pixel_x4_opt: 1.0015e+01 l1_pixel_x4_opt: 6.9799e-02 fft_pixel_x4_opt: 5.2786e-02 +2025-11-01 07:36:55,622 INFO: [29..][epoch: 0, step: 47,500, lr:(2.000e-04,)] [eta: 15:06:44, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.9626e+00 l1_pixel_x2_opt: 6.6387e-02 fft_pixel_x2_opt: 4.7243e-02 eagle_pixel_x4_opt: 5.7242e+00 l1_pixel_x4_opt: 6.0514e-02 fft_pixel_x4_opt: 4.7940e-02 +2025-11-01 07:36:55,623 INFO: Saving models and training states. +2025-11-01 07:38:02,370 INFO: [29..][epoch: 0, step: 47,600, lr:(2.000e-04,)] [eta: 15:05:28, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.2968e+00 l1_pixel_x2_opt: 6.1892e-02 fft_pixel_x2_opt: 4.2751e-02 eagle_pixel_x4_opt: 4.4869e+00 l1_pixel_x4_opt: 5.6158e-02 fft_pixel_x4_opt: 4.3498e-02 +2025-11-01 07:39:08,181 INFO: [29..][epoch: 0, step: 47,700, lr:(2.000e-04,)] [eta: 15:04:11, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.1260e+00 l1_pixel_x2_opt: 5.3999e-02 fft_pixel_x2_opt: 4.0333e-02 eagle_pixel_x4_opt: 5.8730e+00 l1_pixel_x4_opt: 5.1146e-02 fft_pixel_x4_opt: 4.3576e-02 +2025-11-01 07:40:13,710 INFO: [29..][epoch: 0, step: 47,800, lr:(2.000e-04,)] [eta: 15:02:53, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 7.4022e+00 l1_pixel_x2_opt: 6.5923e-02 fft_pixel_x2_opt: 5.0414e-02 eagle_pixel_x4_opt: 7.6701e+00 l1_pixel_x4_opt: 6.0854e-02 fft_pixel_x4_opt: 5.1032e-02 +2025-11-01 07:41:18,921 INFO: [29..][epoch: 0, step: 47,900, lr:(2.000e-04,)] [eta: 15:01:35, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 3.7471e+00 l1_pixel_x2_opt: 5.4925e-02 fft_pixel_x2_opt: 3.8323e-02 eagle_pixel_x4_opt: 4.4855e+00 l1_pixel_x4_opt: 5.0955e-02 fft_pixel_x4_opt: 4.0351e-02 +2025-11-01 07:42:24,472 INFO: [29..][epoch: 0, step: 48,000, lr:(2.000e-04,)] [eta: 15:00:17, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.2100e+00 l1_pixel_x2_opt: 5.0411e-02 fft_pixel_x2_opt: 3.9017e-02 eagle_pixel_x4_opt: 6.4766e+00 l1_pixel_x4_opt: 4.7126e-02 fft_pixel_x4_opt: 4.2663e-02 +2025-11-01 07:43:30,324 INFO: [29..][epoch: 0, step: 48,100, lr:(2.000e-04,)] [eta: 14:59:00, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.0482e+00 l1_pixel_x2_opt: 6.4935e-02 fft_pixel_x2_opt: 4.6298e-02 eagle_pixel_x4_opt: 6.2131e+00 l1_pixel_x4_opt: 5.8989e-02 fft_pixel_x4_opt: 4.9057e-02 +2025-11-01 07:44:36,492 INFO: [29..][epoch: 0, step: 48,200, lr:(2.000e-04,)] [eta: 14:57:44, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.5599e+00 l1_pixel_x2_opt: 6.6373e-02 fft_pixel_x2_opt: 4.6396e-02 eagle_pixel_x4_opt: 6.6911e+00 l1_pixel_x4_opt: 6.0378e-02 fft_pixel_x4_opt: 4.7179e-02 +2025-11-01 07:45:42,039 INFO: [29..][epoch: 0, step: 48,300, lr:(2.000e-04,)] [eta: 14:56:26, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 4.6575e+00 l1_pixel_x2_opt: 5.6738e-02 fft_pixel_x2_opt: 4.0942e-02 eagle_pixel_x4_opt: 5.8319e+00 l1_pixel_x4_opt: 5.3079e-02 fft_pixel_x4_opt: 4.4129e-02 +2025-11-01 07:46:47,811 INFO: [29..][epoch: 0, step: 48,400, lr:(2.000e-04,)] [eta: 14:55:09, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.9898e+00 l1_pixel_x2_opt: 4.2770e-02 fft_pixel_x2_opt: 3.1544e-02 eagle_pixel_x4_opt: 5.9119e+00 l1_pixel_x4_opt: 3.9635e-02 fft_pixel_x4_opt: 3.5251e-02 +2025-11-01 07:47:53,257 INFO: [29..][epoch: 0, step: 48,500, lr:(2.000e-04,)] [eta: 14:53:52, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 3.7157e+00 l1_pixel_x2_opt: 4.8664e-02 fft_pixel_x2_opt: 3.4215e-02 eagle_pixel_x4_opt: 4.6939e+00 l1_pixel_x4_opt: 4.5428e-02 fft_pixel_x4_opt: 3.6749e-02 +2025-11-01 07:48:58,880 INFO: [29..][epoch: 0, step: 48,600, lr:(2.000e-04,)] [eta: 14:52:35, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.5288e+00 l1_pixel_x2_opt: 5.2746e-02 fft_pixel_x2_opt: 3.7591e-02 eagle_pixel_x4_opt: 6.3015e+00 l1_pixel_x4_opt: 4.8569e-02 fft_pixel_x4_opt: 4.0420e-02 +2025-11-01 07:50:04,459 INFO: [29..][epoch: 0, step: 48,700, lr:(2.000e-04,)] [eta: 14:51:18, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 4.2961e+00 l1_pixel_x2_opt: 5.4896e-02 fft_pixel_x2_opt: 3.8515e-02 eagle_pixel_x4_opt: 5.9416e+00 l1_pixel_x4_opt: 5.2557e-02 fft_pixel_x4_opt: 4.1428e-02 +2025-11-01 07:51:09,966 INFO: [29..][epoch: 0, step: 48,800, lr:(2.000e-04,)] [eta: 14:50:00, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.0699e+00 l1_pixel_x2_opt: 7.0212e-02 fft_pixel_x2_opt: 4.9970e-02 eagle_pixel_x4_opt: 6.4823e+00 l1_pixel_x4_opt: 6.3522e-02 fft_pixel_x4_opt: 5.1748e-02 +2025-11-01 07:52:15,384 INFO: [29..][epoch: 0, step: 48,900, lr:(2.000e-04,)] [eta: 14:48:43, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 4.0602e+00 l1_pixel_x2_opt: 4.6746e-02 fft_pixel_x2_opt: 3.4098e-02 eagle_pixel_x4_opt: 4.2475e+00 l1_pixel_x4_opt: 4.3235e-02 fft_pixel_x4_opt: 3.4738e-02 +2025-11-01 07:53:21,016 INFO: [29..][epoch: 0, step: 49,000, lr:(2.000e-04,)] [eta: 14:47:26, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.7173e+00 l1_pixel_x2_opt: 6.5293e-02 fft_pixel_x2_opt: 4.6006e-02 eagle_pixel_x4_opt: 6.8881e+00 l1_pixel_x4_opt: 6.1114e-02 fft_pixel_x4_opt: 4.8174e-02 +2025-11-01 07:54:26,631 INFO: [29..][epoch: 0, step: 49,100, lr:(2.000e-04,)] [eta: 14:46:09, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.4420e+00 l1_pixel_x2_opt: 5.7365e-02 fft_pixel_x2_opt: 3.9014e-02 eagle_pixel_x4_opt: 5.8002e+00 l1_pixel_x4_opt: 5.2402e-02 fft_pixel_x4_opt: 4.1692e-02 +2025-11-01 07:55:33,001 INFO: [29..][epoch: 0, step: 49,200, lr:(2.000e-04,)] [eta: 14:44:53, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.0001e+00 l1_pixel_x2_opt: 5.8756e-02 fft_pixel_x2_opt: 3.6920e-02 eagle_pixel_x4_opt: 5.2583e+00 l1_pixel_x4_opt: 5.5936e-02 fft_pixel_x4_opt: 3.8162e-02 +2025-11-01 07:56:38,850 INFO: [29..][epoch: 0, step: 49,300, lr:(2.000e-04,)] [eta: 14:43:37, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 4.2910e+00 l1_pixel_x2_opt: 6.1278e-02 fft_pixel_x2_opt: 4.0045e-02 eagle_pixel_x4_opt: 5.2896e+00 l1_pixel_x4_opt: 5.5208e-02 fft_pixel_x4_opt: 4.0806e-02 +2025-11-01 07:57:44,555 INFO: [29..][epoch: 0, step: 49,400, lr:(2.000e-04,)] [eta: 14:42:20, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.5085e+00 l1_pixel_x2_opt: 4.9627e-02 fft_pixel_x2_opt: 3.5350e-02 eagle_pixel_x4_opt: 5.5753e+00 l1_pixel_x4_opt: 4.6965e-02 fft_pixel_x4_opt: 3.6999e-02 +2025-11-01 07:58:50,567 INFO: [29..][epoch: 0, step: 49,500, lr:(2.000e-04,)] [eta: 14:41:04, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.6785e+00 l1_pixel_x2_opt: 5.1819e-02 fft_pixel_x2_opt: 3.9264e-02 eagle_pixel_x4_opt: 4.9735e+00 l1_pixel_x4_opt: 4.5943e-02 fft_pixel_x4_opt: 3.9882e-02 +2025-11-01 07:59:56,079 INFO: [29..][epoch: 0, step: 49,600, lr:(2.000e-04,)] [eta: 14:39:47, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.2252e+00 l1_pixel_x2_opt: 5.6153e-02 fft_pixel_x2_opt: 3.9191e-02 eagle_pixel_x4_opt: 5.7304e+00 l1_pixel_x4_opt: 5.1824e-02 fft_pixel_x4_opt: 3.9989e-02 +2025-11-01 08:01:01,970 INFO: [29..][epoch: 0, step: 49,700, lr:(2.000e-04,)] [eta: 14:38:31, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.8017e+00 l1_pixel_x2_opt: 5.2635e-02 fft_pixel_x2_opt: 3.8099e-02 eagle_pixel_x4_opt: 6.7073e+00 l1_pixel_x4_opt: 4.7510e-02 fft_pixel_x4_opt: 4.0379e-02 +2025-11-01 08:02:07,324 INFO: [29..][epoch: 0, step: 49,800, lr:(2.000e-04,)] [eta: 14:37:14, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.2593e+00 l1_pixel_x2_opt: 5.8817e-02 fft_pixel_x2_opt: 4.1246e-02 eagle_pixel_x4_opt: 7.9988e+00 l1_pixel_x4_opt: 5.6542e-02 fft_pixel_x4_opt: 4.5642e-02 +2025-11-01 08:03:13,131 INFO: [29..][epoch: 0, step: 49,900, lr:(2.000e-04,)] [eta: 14:35:58, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.9472e+00 l1_pixel_x2_opt: 5.8541e-02 fft_pixel_x2_opt: 4.0415e-02 eagle_pixel_x4_opt: 6.1574e+00 l1_pixel_x4_opt: 5.6604e-02 fft_pixel_x4_opt: 4.2458e-02 +2025-11-01 08:04:18,805 INFO: [29..][epoch: 0, step: 50,000, lr:(2.000e-04,)] [eta: 14:34:41, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.7124e+00 l1_pixel_x2_opt: 6.2754e-02 fft_pixel_x2_opt: 4.3768e-02 eagle_pixel_x4_opt: 6.8558e+00 l1_pixel_x4_opt: 5.8523e-02 fft_pixel_x4_opt: 4.5827e-02 +2025-11-01 08:04:18,806 INFO: Saving models and training states. +2025-11-01 08:05:33,514 INFO: Validation val_x2 + # l1_latent: 1.4889 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8562 Best: 27.8562 @ 50000 iter + +2025-11-01 08:08:00,069 INFO: Validation val_x4 + # l1_latent: 1.6687 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3247 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 28.0090 Best: 28.0090 @ 50000 iter + +2025-11-01 08:09:05,513 INFO: [29..][epoch: 0, step: 50,100, lr:(2.000e-04,)] [eta: 14:38:55, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 4.7628e+00 l1_pixel_x2_opt: 5.0403e-02 fft_pixel_x2_opt: 3.8316e-02 eagle_pixel_x4_opt: 4.7615e+00 l1_pixel_x4_opt: 4.6534e-02 fft_pixel_x4_opt: 3.8555e-02 +2025-11-01 08:10:10,766 INFO: [29..][epoch: 0, step: 50,200, lr:(2.000e-04,)] [eta: 14:37:37, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.4065e+00 l1_pixel_x2_opt: 6.5379e-02 fft_pixel_x2_opt: 4.7780e-02 eagle_pixel_x4_opt: 6.7205e+00 l1_pixel_x4_opt: 5.9192e-02 fft_pixel_x4_opt: 4.9479e-02 +2025-11-01 08:11:16,156 INFO: [29..][epoch: 0, step: 50,300, lr:(2.000e-04,)] [eta: 14:36:19, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 4.8504e+00 l1_pixel_x2_opt: 5.7499e-02 fft_pixel_x2_opt: 4.2336e-02 eagle_pixel_x4_opt: 5.2677e+00 l1_pixel_x4_opt: 5.1764e-02 fft_pixel_x4_opt: 4.4174e-02 +2025-11-01 08:12:21,466 INFO: [29..][epoch: 0, step: 50,400, lr:(2.000e-04,)] [eta: 14:35:01, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.2246e+00 l1_pixel_x2_opt: 6.0598e-02 fft_pixel_x2_opt: 4.2271e-02 eagle_pixel_x4_opt: 6.4366e+00 l1_pixel_x4_opt: 5.3637e-02 fft_pixel_x4_opt: 4.5050e-02 +2025-11-01 08:13:26,649 INFO: [29..][epoch: 0, step: 50,500, lr:(2.000e-04,)] [eta: 14:33:43, time (data): 0.651 (0.000)] eagle_pixel_x2_opt: 5.9195e+00 l1_pixel_x2_opt: 5.8266e-02 fft_pixel_x2_opt: 4.3554e-02 eagle_pixel_x4_opt: 8.9017e+00 l1_pixel_x4_opt: 5.4793e-02 fft_pixel_x4_opt: 4.7862e-02 +2025-11-01 08:14:33,330 INFO: [29..][epoch: 0, step: 50,600, lr:(2.000e-04,)] [eta: 14:32:28, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 3.5526e+00 l1_pixel_x2_opt: 5.6457e-02 fft_pixel_x2_opt: 3.7885e-02 eagle_pixel_x4_opt: 3.9515e+00 l1_pixel_x4_opt: 5.0233e-02 fft_pixel_x4_opt: 3.8964e-02 +2025-11-01 08:15:39,791 INFO: [29..][epoch: 0, step: 50,700, lr:(2.000e-04,)] [eta: 14:31:11, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 5.3752e+00 l1_pixel_x2_opt: 5.9451e-02 fft_pixel_x2_opt: 4.5212e-02 eagle_pixel_x4_opt: 7.1657e+00 l1_pixel_x4_opt: 5.2306e-02 fft_pixel_x4_opt: 4.6327e-02 +2025-11-01 08:16:46,142 INFO: [29..][epoch: 0, step: 50,800, lr:(2.000e-04,)] [eta: 14:29:55, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.1479e+00 l1_pixel_x2_opt: 6.9868e-02 fft_pixel_x2_opt: 4.6452e-02 eagle_pixel_x4_opt: 6.4988e+00 l1_pixel_x4_opt: 6.4047e-02 fft_pixel_x4_opt: 4.7673e-02 +2025-11-01 08:17:52,135 INFO: [29..][epoch: 0, step: 50,900, lr:(2.000e-04,)] [eta: 14:28:39, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 5.0533e+00 l1_pixel_x2_opt: 5.3812e-02 fft_pixel_x2_opt: 3.9749e-02 eagle_pixel_x4_opt: 5.5281e+00 l1_pixel_x4_opt: 4.9002e-02 fft_pixel_x4_opt: 4.0194e-02 +2025-11-01 08:18:58,080 INFO: [29..][epoch: 0, step: 51,000, lr:(2.000e-04,)] [eta: 14:27:22, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 6.4618e+00 l1_pixel_x2_opt: 6.6127e-02 fft_pixel_x2_opt: 4.9651e-02 eagle_pixel_x4_opt: 8.0572e+00 l1_pixel_x4_opt: 6.1303e-02 fft_pixel_x4_opt: 5.1692e-02 +2025-11-01 08:20:03,982 INFO: [29..][epoch: 0, step: 51,100, lr:(2.000e-04,)] [eta: 14:26:05, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.4553e+00 l1_pixel_x2_opt: 5.9857e-02 fft_pixel_x2_opt: 4.1368e-02 eagle_pixel_x4_opt: 5.5195e+00 l1_pixel_x4_opt: 5.4944e-02 fft_pixel_x4_opt: 4.3831e-02 +2025-11-01 08:21:09,986 INFO: [29..][epoch: 0, step: 51,200, lr:(2.000e-04,)] [eta: 14:24:49, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.0253e+00 l1_pixel_x2_opt: 5.0860e-02 fft_pixel_x2_opt: 3.7381e-02 eagle_pixel_x4_opt: 5.4789e+00 l1_pixel_x4_opt: 4.6184e-02 fft_pixel_x4_opt: 4.0045e-02 +2025-11-01 08:22:15,907 INFO: [29..][epoch: 0, step: 51,300, lr:(2.000e-04,)] [eta: 14:23:32, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.5882e+00 l1_pixel_x2_opt: 6.2596e-02 fft_pixel_x2_opt: 4.5615e-02 eagle_pixel_x4_opt: 7.6267e+00 l1_pixel_x4_opt: 5.8038e-02 fft_pixel_x4_opt: 4.7943e-02 +2025-11-01 08:23:21,865 INFO: [29..][epoch: 0, step: 51,400, lr:(2.000e-04,)] [eta: 14:22:15, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 3.6011e+00 l1_pixel_x2_opt: 4.9257e-02 fft_pixel_x2_opt: 3.3999e-02 eagle_pixel_x4_opt: 4.7169e+00 l1_pixel_x4_opt: 4.5008e-02 fft_pixel_x4_opt: 3.4956e-02 +2025-11-01 08:24:27,702 INFO: [29..][epoch: 0, step: 51,500, lr:(2.000e-04,)] [eta: 14:20:59, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.4070e+00 l1_pixel_x2_opt: 5.9001e-02 fft_pixel_x2_opt: 4.4128e-02 eagle_pixel_x4_opt: 6.0204e+00 l1_pixel_x4_opt: 5.4457e-02 fft_pixel_x4_opt: 4.5389e-02 +2025-11-01 08:25:33,470 INFO: [29..][epoch: 0, step: 51,600, lr:(2.000e-04,)] [eta: 14:19:42, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 3.9905e+00 l1_pixel_x2_opt: 6.1475e-02 fft_pixel_x2_opt: 4.0587e-02 eagle_pixel_x4_opt: 4.7728e+00 l1_pixel_x4_opt: 5.4765e-02 fft_pixel_x4_opt: 3.9766e-02 +2025-11-01 08:26:39,228 INFO: [29..][epoch: 0, step: 51,700, lr:(2.000e-04,)] [eta: 14:18:25, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.9265e+00 l1_pixel_x2_opt: 5.9630e-02 fft_pixel_x2_opt: 4.3983e-02 eagle_pixel_x4_opt: 6.2996e+00 l1_pixel_x4_opt: 5.3361e-02 fft_pixel_x4_opt: 4.5185e-02 +2025-11-01 08:27:44,676 INFO: [29..][epoch: 0, step: 51,800, lr:(2.000e-04,)] [eta: 14:17:08, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.6219e+00 l1_pixel_x2_opt: 5.8947e-02 fft_pixel_x2_opt: 4.3796e-02 eagle_pixel_x4_opt: 4.9476e+00 l1_pixel_x4_opt: 5.4982e-02 fft_pixel_x4_opt: 4.4145e-02 +2025-11-01 08:28:50,291 INFO: [29..][epoch: 0, step: 51,900, lr:(2.000e-04,)] [eta: 14:15:52, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.0732e+00 l1_pixel_x2_opt: 5.4890e-02 fft_pixel_x2_opt: 3.8402e-02 eagle_pixel_x4_opt: 4.3626e+00 l1_pixel_x4_opt: 5.0334e-02 fft_pixel_x4_opt: 3.9762e-02 +2025-11-01 08:29:55,991 INFO: [29..][epoch: 0, step: 52,000, lr:(2.000e-04,)] [eta: 14:14:35, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.3712e+00 l1_pixel_x2_opt: 5.7609e-02 fft_pixel_x2_opt: 4.2524e-02 eagle_pixel_x4_opt: 6.5535e+00 l1_pixel_x4_opt: 5.1232e-02 fft_pixel_x4_opt: 4.3402e-02 +2025-11-01 08:31:01,714 INFO: [29..][epoch: 0, step: 52,100, lr:(2.000e-04,)] [eta: 14:13:18, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 5.2420e+00 l1_pixel_x2_opt: 6.1400e-02 fft_pixel_x2_opt: 4.4741e-02 eagle_pixel_x4_opt: 6.2688e+00 l1_pixel_x4_opt: 5.6218e-02 fft_pixel_x4_opt: 4.6976e-02 +2025-11-01 08:32:07,659 INFO: [29..][epoch: 0, step: 52,200, lr:(2.000e-04,)] [eta: 14:12:02, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 7.0525e+00 l1_pixel_x2_opt: 7.7576e-02 fft_pixel_x2_opt: 5.5880e-02 eagle_pixel_x4_opt: 7.2364e+00 l1_pixel_x4_opt: 6.9875e-02 fft_pixel_x4_opt: 5.6929e-02 +2025-11-01 08:33:14,092 INFO: [29..][epoch: 0, step: 52,300, lr:(2.000e-04,)] [eta: 14:10:47, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.5185e+00 l1_pixel_x2_opt: 6.0134e-02 fft_pixel_x2_opt: 4.4647e-02 eagle_pixel_x4_opt: 9.1586e+00 l1_pixel_x4_opt: 5.6158e-02 fft_pixel_x4_opt: 4.7944e-02 +2025-11-01 08:34:20,069 INFO: [29..][epoch: 0, step: 52,400, lr:(2.000e-04,)] [eta: 14:09:31, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.5354e+00 l1_pixel_x2_opt: 5.8281e-02 fft_pixel_x2_opt: 4.0156e-02 eagle_pixel_x4_opt: 4.8862e+00 l1_pixel_x4_opt: 5.4011e-02 fft_pixel_x4_opt: 4.1452e-02 +2025-11-01 08:35:26,044 INFO: [29..][epoch: 0, step: 52,500, lr:(2.000e-04,)] [eta: 14:08:14, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.8707e+00 l1_pixel_x2_opt: 6.3216e-02 fft_pixel_x2_opt: 4.3158e-02 eagle_pixel_x4_opt: 7.7375e+00 l1_pixel_x4_opt: 5.9577e-02 fft_pixel_x4_opt: 4.5905e-02 +2025-11-01 08:35:26,045 INFO: Saving models and training states. +2025-11-01 08:36:32,922 INFO: [29..][epoch: 0, step: 52,600, lr:(2.000e-04,)] [eta: 14:07:00, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.8181e+00 l1_pixel_x2_opt: 7.3018e-02 fft_pixel_x2_opt: 5.1871e-02 eagle_pixel_x4_opt: 9.4548e+00 l1_pixel_x4_opt: 6.7384e-02 fft_pixel_x4_opt: 5.3687e-02 +2025-11-01 08:37:38,392 INFO: [29..][epoch: 0, step: 52,700, lr:(2.000e-04,)] [eta: 14:05:43, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.9367e+00 l1_pixel_x2_opt: 6.7245e-02 fft_pixel_x2_opt: 5.0503e-02 eagle_pixel_x4_opt: 7.1622e+00 l1_pixel_x4_opt: 6.1260e-02 fft_pixel_x4_opt: 5.2864e-02 +2025-11-01 08:38:44,268 INFO: [29..][epoch: 0, step: 52,800, lr:(2.000e-04,)] [eta: 14:04:27, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.9020e+00 l1_pixel_x2_opt: 4.9409e-02 fft_pixel_x2_opt: 3.5388e-02 eagle_pixel_x4_opt: 7.0433e+00 l1_pixel_x4_opt: 4.7365e-02 fft_pixel_x4_opt: 3.8163e-02 +2025-11-01 08:39:50,240 INFO: [29..][epoch: 0, step: 52,900, lr:(2.000e-04,)] [eta: 14:03:11, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 4.1511e+00 l1_pixel_x2_opt: 5.5170e-02 fft_pixel_x2_opt: 3.8711e-02 eagle_pixel_x4_opt: 4.6009e+00 l1_pixel_x4_opt: 5.0265e-02 fft_pixel_x4_opt: 3.9970e-02 +2025-11-01 08:40:55,890 INFO: [29..][epoch: 0, step: 53,000, lr:(2.000e-04,)] [eta: 14:01:55, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 5.2889e+00 l1_pixel_x2_opt: 6.1488e-02 fft_pixel_x2_opt: 4.6205e-02 eagle_pixel_x4_opt: 7.7186e+00 l1_pixel_x4_opt: 5.4015e-02 fft_pixel_x4_opt: 4.8872e-02 +2025-11-01 08:42:01,678 INFO: [29..][epoch: 0, step: 53,100, lr:(2.000e-04,)] [eta: 14:00:39, time (data): 0.666 (0.000)] eagle_pixel_x2_opt: 3.2067e+00 l1_pixel_x2_opt: 4.8477e-02 fft_pixel_x2_opt: 3.2672e-02 eagle_pixel_x4_opt: 3.9618e+00 l1_pixel_x4_opt: 4.4175e-02 fft_pixel_x4_opt: 3.3667e-02 +2025-11-01 08:43:07,470 INFO: [29..][epoch: 0, step: 53,200, lr:(2.000e-04,)] [eta: 13:59:23, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 6.5281e+00 l1_pixel_x2_opt: 6.8999e-02 fft_pixel_x2_opt: 4.9354e-02 eagle_pixel_x4_opt: 7.7900e+00 l1_pixel_x4_opt: 6.4180e-02 fft_pixel_x4_opt: 5.0291e-02 +2025-11-01 08:44:12,981 INFO: [29..][epoch: 0, step: 53,300, lr:(2.000e-04,)] [eta: 13:58:06, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.4672e+00 l1_pixel_x2_opt: 4.9404e-02 fft_pixel_x2_opt: 4.1553e-02 eagle_pixel_x4_opt: 6.4977e+00 l1_pixel_x4_opt: 4.4915e-02 fft_pixel_x4_opt: 4.3568e-02 +2025-11-01 08:45:18,775 INFO: [29..][epoch: 0, step: 53,400, lr:(2.000e-04,)] [eta: 13:56:50, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.3899e+00 l1_pixel_x2_opt: 4.9740e-02 fft_pixel_x2_opt: 3.6191e-02 eagle_pixel_x4_opt: 5.9918e+00 l1_pixel_x4_opt: 4.6868e-02 fft_pixel_x4_opt: 3.8962e-02 +2025-11-01 08:46:24,417 INFO: [29..][epoch: 0, step: 53,500, lr:(2.000e-04,)] [eta: 13:55:34, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 4.9217e+00 l1_pixel_x2_opt: 6.4183e-02 fft_pixel_x2_opt: 4.5047e-02 eagle_pixel_x4_opt: 6.3006e+00 l1_pixel_x4_opt: 5.8575e-02 fft_pixel_x4_opt: 4.6795e-02 +2025-11-01 08:47:29,761 INFO: [29..][epoch: 0, step: 53,600, lr:(2.000e-04,)] [eta: 13:54:18, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.2053e+00 l1_pixel_x2_opt: 6.8256e-02 fft_pixel_x2_opt: 4.7686e-02 eagle_pixel_x4_opt: 5.9330e+00 l1_pixel_x4_opt: 6.3965e-02 fft_pixel_x4_opt: 4.9312e-02 +2025-11-01 08:48:35,815 INFO: [29..][epoch: 0, step: 53,700, lr:(2.000e-04,)] [eta: 13:53:02, time (data): 0.667 (0.000)] eagle_pixel_x2_opt: 5.7919e+00 l1_pixel_x2_opt: 7.2484e-02 fft_pixel_x2_opt: 5.2173e-02 eagle_pixel_x4_opt: 6.2747e+00 l1_pixel_x4_opt: 6.5430e-02 fft_pixel_x4_opt: 5.1743e-02 +2025-11-01 08:49:41,922 INFO: [29..][epoch: 0, step: 53,800, lr:(2.000e-04,)] [eta: 13:51:47, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 4.0805e+00 l1_pixel_x2_opt: 5.8585e-02 fft_pixel_x2_opt: 3.9496e-02 eagle_pixel_x4_opt: 4.8980e+00 l1_pixel_x4_opt: 5.2989e-02 fft_pixel_x4_opt: 4.0815e-02 +2025-11-01 08:50:47,681 INFO: [29..][epoch: 0, step: 53,900, lr:(2.000e-04,)] [eta: 13:50:31, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.7620e+00 l1_pixel_x2_opt: 4.9248e-02 fft_pixel_x2_opt: 3.3559e-02 eagle_pixel_x4_opt: 5.2316e+00 l1_pixel_x4_opt: 4.5216e-02 fft_pixel_x4_opt: 3.6431e-02 +2025-11-01 08:51:53,388 INFO: [29..][epoch: 0, step: 54,000, lr:(2.000e-04,)] [eta: 13:49:15, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.5736e+00 l1_pixel_x2_opt: 5.1606e-02 fft_pixel_x2_opt: 3.5208e-02 eagle_pixel_x4_opt: 4.4754e+00 l1_pixel_x4_opt: 4.8489e-02 fft_pixel_x4_opt: 3.7506e-02 +2025-11-01 08:52:59,364 INFO: [29..][epoch: 0, step: 54,100, lr:(2.000e-04,)] [eta: 13:48:00, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.4625e+00 l1_pixel_x2_opt: 5.6759e-02 fft_pixel_x2_opt: 4.3724e-02 eagle_pixel_x4_opt: 6.8656e+00 l1_pixel_x4_opt: 5.2824e-02 fft_pixel_x4_opt: 4.6548e-02 +2025-11-01 08:54:04,699 INFO: [29..][epoch: 0, step: 54,200, lr:(2.000e-04,)] [eta: 13:46:43, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.2191e+00 l1_pixel_x2_opt: 6.3714e-02 fft_pixel_x2_opt: 4.2498e-02 eagle_pixel_x4_opt: 4.6033e+00 l1_pixel_x4_opt: 5.9137e-02 fft_pixel_x4_opt: 4.2757e-02 +2025-11-01 08:55:11,175 INFO: [29..][epoch: 0, step: 54,300, lr:(2.000e-04,)] [eta: 13:45:29, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.0921e+00 l1_pixel_x2_opt: 5.8678e-02 fft_pixel_x2_opt: 4.2206e-02 eagle_pixel_x4_opt: 7.0646e+00 l1_pixel_x4_opt: 5.5396e-02 fft_pixel_x4_opt: 4.5733e-02 +2025-11-01 08:56:17,113 INFO: [29..][epoch: 0, step: 54,400, lr:(2.000e-04,)] [eta: 13:44:13, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 3.1769e+00 l1_pixel_x2_opt: 4.6217e-02 fft_pixel_x2_opt: 3.2793e-02 eagle_pixel_x4_opt: 3.8676e+00 l1_pixel_x4_opt: 4.2209e-02 fft_pixel_x4_opt: 3.4004e-02 +2025-11-01 08:57:22,550 INFO: [29..][epoch: 0, step: 54,500, lr:(2.000e-04,)] [eta: 13:42:57, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 6.0610e+00 l1_pixel_x2_opt: 6.3022e-02 fft_pixel_x2_opt: 4.5641e-02 eagle_pixel_x4_opt: 7.0310e+00 l1_pixel_x4_opt: 5.8589e-02 fft_pixel_x4_opt: 4.7045e-02 +2025-11-01 08:58:28,823 INFO: [29..][epoch: 0, step: 54,600, lr:(2.000e-04,)] [eta: 13:41:42, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 7.0930e+00 l1_pixel_x2_opt: 6.9984e-02 fft_pixel_x2_opt: 5.2671e-02 eagle_pixel_x4_opt: 8.7278e+00 l1_pixel_x4_opt: 6.3465e-02 fft_pixel_x4_opt: 5.4839e-02 +2025-11-01 08:59:34,643 INFO: [29..][epoch: 0, step: 54,700, lr:(2.000e-04,)] [eta: 13:40:27, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.8555e+00 l1_pixel_x2_opt: 5.5110e-02 fft_pixel_x2_opt: 4.1145e-02 eagle_pixel_x4_opt: 6.9615e+00 l1_pixel_x4_opt: 5.1649e-02 fft_pixel_x4_opt: 4.3709e-02 +2025-11-01 09:00:40,155 INFO: [29..][epoch: 0, step: 54,800, lr:(2.000e-04,)] [eta: 13:39:11, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 3.4926e+00 l1_pixel_x2_opt: 5.3111e-02 fft_pixel_x2_opt: 3.6195e-02 eagle_pixel_x4_opt: 4.5841e+00 l1_pixel_x4_opt: 4.8436e-02 fft_pixel_x4_opt: 3.6990e-02 +2025-11-01 09:01:45,817 INFO: [29..][epoch: 0, step: 54,900, lr:(2.000e-04,)] [eta: 13:37:56, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.0389e+00 l1_pixel_x2_opt: 4.9696e-02 fft_pixel_x2_opt: 3.2713e-02 eagle_pixel_x4_opt: 3.5455e+00 l1_pixel_x4_opt: 4.4981e-02 fft_pixel_x4_opt: 3.3597e-02 +2025-11-01 09:02:51,607 INFO: [29..][epoch: 0, step: 55,000, lr:(2.000e-04,)] [eta: 13:36:40, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.9367e+00 l1_pixel_x2_opt: 5.9341e-02 fft_pixel_x2_opt: 4.1477e-02 eagle_pixel_x4_opt: 5.0339e+00 l1_pixel_x4_opt: 5.5631e-02 fft_pixel_x4_opt: 4.2057e-02 +2025-11-01 09:02:51,608 INFO: Saving models and training states. +2025-11-01 09:04:14,942 INFO: Validation val_x2 + # l1_latent: 1.4850 Best: 1.5095 @ 15000 iter + # pixel_psnr_pt: 27.8551 Best: 27.8562 @ 50000 iter + +2025-11-01 09:06:37,500 INFO: Validation val_x4 + # l1_latent: 1.6752 Best: 1.6933 @ 10000 iter + # l2_latent: 4.3566 Best: 4.4895 @ 10000 iter + # pixel_psnr_pt: 28.0153 Best: 28.0153 @ 55000 iter + +2025-11-01 09:07:43,126 INFO: [29..][epoch: 0, step: 55,100, lr:(2.000e-04,)] [eta: 13:40:11, time (data): 0.669 (0.000)] eagle_pixel_x2_opt: 6.0429e+00 l1_pixel_x2_opt: 6.5777e-02 fft_pixel_x2_opt: 4.7976e-02 eagle_pixel_x4_opt: 7.5542e+00 l1_pixel_x4_opt: 6.0783e-02 fft_pixel_x4_opt: 5.1367e-02 +2025-11-01 09:08:48,690 INFO: [29..][epoch: 0, step: 55,200, lr:(2.000e-04,)] [eta: 13:38:55, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.7252e+00 l1_pixel_x2_opt: 6.2851e-02 fft_pixel_x2_opt: 4.8465e-02 eagle_pixel_x4_opt: 7.5782e+00 l1_pixel_x4_opt: 5.6492e-02 fft_pixel_x4_opt: 5.1268e-02 +2025-11-01 09:09:53,937 INFO: [29..][epoch: 0, step: 55,300, lr:(2.000e-04,)] [eta: 13:37:38, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 5.7457e+00 l1_pixel_x2_opt: 6.2573e-02 fft_pixel_x2_opt: 4.7271e-02 eagle_pixel_x4_opt: 6.3255e+00 l1_pixel_x4_opt: 5.8004e-02 fft_pixel_x4_opt: 4.9075e-02 +2025-11-01 09:10:59,241 INFO: [29..][epoch: 0, step: 55,400, lr:(2.000e-04,)] [eta: 13:36:21, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.3606e+00 l1_pixel_x2_opt: 5.8858e-02 fft_pixel_x2_opt: 4.2488e-02 eagle_pixel_x4_opt: 6.2588e+00 l1_pixel_x4_opt: 5.4276e-02 fft_pixel_x4_opt: 4.4105e-02 +2025-11-01 09:12:05,431 INFO: [29..][epoch: 0, step: 55,500, lr:(2.000e-04,)] [eta: 13:35:05, time (data): 0.663 (0.000)] eagle_pixel_x2_opt: 3.5843e+00 l1_pixel_x2_opt: 5.3003e-02 fft_pixel_x2_opt: 3.6287e-02 eagle_pixel_x4_opt: 4.4104e+00 l1_pixel_x4_opt: 4.5885e-02 fft_pixel_x4_opt: 3.6522e-02 +2025-11-01 09:13:11,422 INFO: [29..][epoch: 0, step: 55,600, lr:(2.000e-04,)] [eta: 13:33:50, time (data): 0.660 (0.000)] eagle_pixel_x2_opt: 3.4519e+00 l1_pixel_x2_opt: 5.4473e-02 fft_pixel_x2_opt: 3.6756e-02 eagle_pixel_x4_opt: 4.4172e+00 l1_pixel_x4_opt: 4.8747e-02 fft_pixel_x4_opt: 3.7948e-02 +2025-11-01 09:14:16,570 INFO: [29..][epoch: 0, step: 55,700, lr:(2.000e-04,)] [eta: 13:32:33, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 4.7386e+00 l1_pixel_x2_opt: 6.2775e-02 fft_pixel_x2_opt: 4.0545e-02 eagle_pixel_x4_opt: 6.3515e+00 l1_pixel_x4_opt: 6.0114e-02 fft_pixel_x4_opt: 4.3525e-02 +2025-11-01 09:15:22,530 INFO: [29..][epoch: 0, step: 55,800, lr:(2.000e-04,)] [eta: 13:31:17, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 6.3502e+00 l1_pixel_x2_opt: 5.9418e-02 fft_pixel_x2_opt: 4.1437e-02 eagle_pixel_x4_opt: 6.1690e+00 l1_pixel_x4_opt: 5.6963e-02 fft_pixel_x4_opt: 4.2801e-02 +2025-11-01 09:16:28,767 INFO: [29..][epoch: 0, step: 55,900, lr:(2.000e-04,)] [eta: 13:30:01, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.4171e+00 l1_pixel_x2_opt: 5.2719e-02 fft_pixel_x2_opt: 3.8307e-02 eagle_pixel_x4_opt: 5.1239e+00 l1_pixel_x4_opt: 4.8067e-02 fft_pixel_x4_opt: 4.0266e-02 +2025-11-01 09:17:34,502 INFO: [29..][epoch: 0, step: 56,000, lr:(2.000e-04,)] [eta: 13:28:45, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 2.7632e+00 l1_pixel_x2_opt: 5.0274e-02 fft_pixel_x2_opt: 3.1586e-02 eagle_pixel_x4_opt: 3.8677e+00 l1_pixel_x4_opt: 4.6281e-02 fft_pixel_x4_opt: 3.2658e-02 +2025-11-01 09:18:40,073 INFO: [29..][epoch: 0, step: 56,100, lr:(2.000e-04,)] [eta: 13:27:29, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.5941e+00 l1_pixel_x2_opt: 5.8782e-02 fft_pixel_x2_opt: 4.3551e-02 eagle_pixel_x4_opt: 7.6478e+00 l1_pixel_x4_opt: 5.5055e-02 fft_pixel_x4_opt: 4.6755e-02 +2025-11-01 09:19:45,401 INFO: [29..][epoch: 0, step: 56,200, lr:(2.000e-04,)] [eta: 13:26:13, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.3928e+00 l1_pixel_x2_opt: 5.6549e-02 fft_pixel_x2_opt: 4.0996e-02 eagle_pixel_x4_opt: 7.9761e+00 l1_pixel_x4_opt: 5.2897e-02 fft_pixel_x4_opt: 4.5235e-02 +2025-11-01 09:20:50,899 INFO: [29..][epoch: 0, step: 56,300, lr:(2.000e-04,)] [eta: 13:24:57, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 6.5999e+00 l1_pixel_x2_opt: 6.3161e-02 fft_pixel_x2_opt: 4.6224e-02 eagle_pixel_x4_opt: 7.2143e+00 l1_pixel_x4_opt: 5.8551e-02 fft_pixel_x4_opt: 4.8440e-02 +2025-11-01 09:21:56,669 INFO: [29..][epoch: 0, step: 56,400, lr:(2.000e-04,)] [eta: 13:23:41, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 5.1521e+00 l1_pixel_x2_opt: 6.1781e-02 fft_pixel_x2_opt: 4.5963e-02 eagle_pixel_x4_opt: 6.4084e+00 l1_pixel_x4_opt: 5.4842e-02 fft_pixel_x4_opt: 4.7801e-02 +2025-11-01 09:23:02,222 INFO: [29..][epoch: 0, step: 56,500, lr:(2.000e-04,)] [eta: 13:22:25, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 6.3118e+00 l1_pixel_x2_opt: 6.5266e-02 fft_pixel_x2_opt: 4.7713e-02 eagle_pixel_x4_opt: 9.1123e+00 l1_pixel_x4_opt: 6.2076e-02 fft_pixel_x4_opt: 5.1226e-02 +2025-11-01 09:24:07,731 INFO: [29..][epoch: 0, step: 56,600, lr:(2.000e-04,)] [eta: 13:21:09, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.1282e+00 l1_pixel_x2_opt: 5.8739e-02 fft_pixel_x2_opt: 4.0618e-02 eagle_pixel_x4_opt: 6.5837e+00 l1_pixel_x4_opt: 5.3045e-02 fft_pixel_x4_opt: 4.0728e-02 +2025-11-01 09:25:13,273 INFO: [29..][epoch: 0, step: 56,700, lr:(2.000e-04,)] [eta: 13:19:53, time (data): 0.657 (0.000)] eagle_pixel_x2_opt: 3.5598e+00 l1_pixel_x2_opt: 4.7223e-02 fft_pixel_x2_opt: 3.3514e-02 eagle_pixel_x4_opt: 4.3607e+00 l1_pixel_x4_opt: 4.2520e-02 fft_pixel_x4_opt: 3.4320e-02 +2025-11-01 09:26:19,411 INFO: [29..][epoch: 0, step: 56,800, lr:(2.000e-04,)] [eta: 13:18:38, time (data): 0.661 (0.000)] eagle_pixel_x2_opt: 3.6651e+00 l1_pixel_x2_opt: 5.1349e-02 fft_pixel_x2_opt: 3.4053e-02 eagle_pixel_x4_opt: 4.7028e+00 l1_pixel_x4_opt: 4.7190e-02 fft_pixel_x4_opt: 3.5538e-02 +2025-11-01 09:27:24,833 INFO: [29..][epoch: 0, step: 56,900, lr:(2.000e-04,)] [eta: 13:17:21, time (data): 0.653 (0.000)] eagle_pixel_x2_opt: 4.8999e+00 l1_pixel_x2_opt: 5.9600e-02 fft_pixel_x2_opt: 4.0228e-02 eagle_pixel_x4_opt: 5.8095e+00 l1_pixel_x4_opt: 5.6437e-02 fft_pixel_x4_opt: 4.0923e-02 +2025-11-01 09:28:30,399 INFO: [29..][epoch: 0, step: 57,000, lr:(2.000e-04,)] [eta: 13:16:06, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 5.4504e+00 l1_pixel_x2_opt: 6.4259e-02 fft_pixel_x2_opt: 4.7588e-02 eagle_pixel_x4_opt: 6.5201e+00 l1_pixel_x4_opt: 5.8906e-02 fft_pixel_x4_opt: 4.8990e-02 +2025-11-01 09:29:36,146 INFO: [29..][epoch: 0, step: 57,100, lr:(2.000e-04,)] [eta: 13:14:50, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 5.8664e+00 l1_pixel_x2_opt: 6.5856e-02 fft_pixel_x2_opt: 4.8086e-02 eagle_pixel_x4_opt: 7.9255e+00 l1_pixel_x4_opt: 6.0355e-02 fft_pixel_x4_opt: 5.1264e-02 +2025-11-01 09:30:41,631 INFO: [29..][epoch: 0, step: 57,200, lr:(2.000e-04,)] [eta: 13:13:34, time (data): 0.655 (0.000)] eagle_pixel_x2_opt: 4.0121e+00 l1_pixel_x2_opt: 5.3577e-02 fft_pixel_x2_opt: 3.9228e-02 eagle_pixel_x4_opt: 5.4633e+00 l1_pixel_x4_opt: 4.8286e-02 fft_pixel_x4_opt: 4.0421e-02 +2025-11-01 09:31:55,037 INFO: [29..][epoch: 0, step: 57,300, lr:(2.000e-04,)] [eta: 13:12:28, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 4.2384e+00 l1_pixel_x2_opt: 5.2271e-02 fft_pixel_x2_opt: 3.6660e-02 eagle_pixel_x4_opt: 5.6213e+00 l1_pixel_x4_opt: 4.7551e-02 fft_pixel_x4_opt: 3.7775e-02 +2025-11-01 09:33:00,862 INFO: [29..][epoch: 0, step: 57,400, lr:(2.000e-04,)] [eta: 13:11:12, time (data): 0.658 (0.000)] eagle_pixel_x2_opt: 2.8212e+00 l1_pixel_x2_opt: 4.5398e-02 fft_pixel_x2_opt: 3.0142e-02 eagle_pixel_x4_opt: 3.2446e+00 l1_pixel_x4_opt: 4.0609e-02 fft_pixel_x4_opt: 3.0283e-02 +2025-11-01 09:34:06,348 INFO: [29..][epoch: 0, step: 57,500, lr:(2.000e-04,)] [eta: 13:09:56, time (data): 0.650 (0.000)] eagle_pixel_x2_opt: 7.1338e+00 l1_pixel_x2_opt: 5.8974e-02 fft_pixel_x2_opt: 4.5120e-02 eagle_pixel_x4_opt: 7.4589e+00 l1_pixel_x4_opt: 5.5403e-02 fft_pixel_x4_opt: 4.6224e-02 +2025-11-01 09:34:06,349 INFO: Saving models and training states. +2025-11-01 09:35:12,987 INFO: [29..][epoch: 0, step: 57,600, lr:(2.000e-04,)] [eta: 13:08:42, time (data): 0.654 (0.000)] eagle_pixel_x2_opt: 5.4254e+00 l1_pixel_x2_opt: 6.7690e-02 fft_pixel_x2_opt: 4.8409e-02 eagle_pixel_x4_opt: 6.3031e+00 l1_pixel_x4_opt: 6.1517e-02 fft_pixel_x4_opt: 5.0611e-02 +2025-11-01 09:36:18,774 INFO: [29..][epoch: 0, step: 57,700, lr:(2.000e-04,)] [eta: 13:07:27, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 4.8199e+00 l1_pixel_x2_opt: 5.8206e-02 fft_pixel_x2_opt: 4.2521e-02 eagle_pixel_x4_opt: 4.9723e+00 l1_pixel_x4_opt: 5.2760e-02 fft_pixel_x4_opt: 4.3400e-02 +2025-11-01 09:37:24,986 INFO: [29..][epoch: 0, step: 57,800, lr:(2.000e-04,)] [eta: 13:06:12, time (data): 0.662 (0.000)] eagle_pixel_x2_opt: 5.2143e+00 l1_pixel_x2_opt: 6.6558e-02 fft_pixel_x2_opt: 4.6579e-02 eagle_pixel_x4_opt: 5.9911e+00 l1_pixel_x4_opt: 6.0429e-02 fft_pixel_x4_opt: 4.7030e-02 +2025-11-01 09:38:31,074 INFO: [29..][epoch: 0, step: 57,900, lr:(2.000e-04,)] [eta: 13:04:57, time (data): 0.665 (0.000)] eagle_pixel_x2_opt: 3.1582e+00 l1_pixel_x2_opt: 5.0243e-02 fft_pixel_x2_opt: 3.4412e-02 eagle_pixel_x4_opt: 3.6842e+00 l1_pixel_x4_opt: 4.4832e-02 fft_pixel_x4_opt: 3.4159e-02 +2025-11-01 09:39:36,874 INFO: [29..][epoch: 0, step: 58,000, lr:(2.000e-04,)] [eta: 13:03:42, time (data): 0.659 (0.000)] eagle_pixel_x2_opt: 6.1488e+00 l1_pixel_x2_opt: 6.3744e-02 fft_pixel_x2_opt: 4.7321e-02 eagle_pixel_x4_opt: 7.1919e+00 l1_pixel_x4_opt: 5.9105e-02 fft_pixel_x4_opt: 4.8736e-02 +2025-11-01 09:40:42,213 INFO: [29..][epoch: 0, step: 58,100, lr:(2.000e-04,)] [eta: 13:02:26, time (data): 0.656 (0.000)] eagle_pixel_x2_opt: 6.1959e+00 l1_pixel_x2_opt: 6.4296e-02 fft_pixel_x2_opt: 4.5913e-02 eagle_pixel_x4_opt: 6.7623e+00 l1_pixel_x4_opt: 5.9123e-02 fft_pixel_x4_opt: 4.5640e-02 +2025-11-01 09:41:47,393 INFO: [29..][epoch: 0, step: 58,200, lr:(2.000e-04,)] [eta: 13:01:10, time (data): 0.652 (0.000)] eagle_pixel_x2_opt: 4.2917e+00 l1_pixel_x2_opt: 5.5436e-02 fft_pixel_x2_opt: 3.9573e-02 eagle_pixel_x4_opt: 5.0647e+00 l1_pixel_x4_opt: 4.8981e-02 fft_pixel_x4_opt: 4.0473e-02 +2025-11-01 09:42:53,222 INFO: [29..][epoch: 0, step: 58,300, lr:(2.000e-04,)] [eta: 12:59:55, time (data): 0.676 (0.000)] eagle_pixel_x2_opt: 3.1283e+00 l1_pixel_x2_opt: 4.4999e-02 fft_pixel_x2_opt: 3.0278e-02 eagle_pixel_x4_opt: 4.2971e+00 l1_pixel_x4_opt: 4.0319e-02 fft_pixel_x4_opt: 3.1740e-02 diff --git a/31_10_2025/29_2/basicsr_options.yaml b/31_10_2025/29_2/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2c05c69b663fde6c1a0084309c62d49596426e29 --- /dev/null +++ b/31_10_2025/29_2/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:25:12 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_2' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_2/train_29_2_20251031_152512.log b/31_10_2025/29_2/train_29_2_20251031_152512.log new file mode 100644 index 0000000000000000000000000000000000000000..31c0df626bf92d68c5b5e275824e9e23dfa892ce --- /dev/null +++ b/31_10_2025/29_2/train_29_2_20251031_152512.log @@ -0,0 +1,506 @@ +2025-10-31 15:25:12,613 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:25:12,613 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 256 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_2 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_2 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_2/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_2/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_2 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_2/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:25:14,371 INFO: Use wandb logger with id=h2dtz9ph; project=Swin2SR-Latent-SR. +2025-10-31 15:25:26,925 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:25:26,926 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 256 + World size (gpu number): 1 + Steps per epoch: 18979 + Configured training steps: 125000 + Approximate epochs to cover: 7. +2025-10-31 15:25:26,932 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:25:26,932 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:25:27,512 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:25:27,748 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:25:27,750 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:25:27,752 INFO: Use EMA with decay: 0.999 +2025-10-31 15:25:28,211 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:25:28,275 INFO: Loss [L1Loss] is created. +2025-10-31 15:25:28,276 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:25:28,277 INFO: Loss [L1Loss] is created. +2025-10-31 15:25:28,277 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:25:29,315 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:25:29,324 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:25:30,180 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:25:30,191 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:25:31,240 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:25:31,249 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:25:32,159 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:25:32,167 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:25:32,187 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:25:32,191 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:25:32,191 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:25:32,192 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:25:32,193 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:25:32,194 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:25:33,403 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:25:42,884 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_3/basicsr_options.yaml b/31_10_2025/29_3/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..eb69fee707d67444bce635a854539a4cd181e5c3 --- /dev/null +++ b/31_10_2025/29_3/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:26:33 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_3' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_3/train_29_3_20251031_152633.log b/31_10_2025/29_3/train_29_3_20251031_152633.log new file mode 100644 index 0000000000000000000000000000000000000000..bafc9dd5b2abd0f53c4a17fdc6d1197e3c7bef65 --- /dev/null +++ b/31_10_2025/29_3/train_29_3_20251031_152633.log @@ -0,0 +1,506 @@ +2025-10-31 15:26:33,823 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:26:33,823 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 32 + batch_size_per_gpu: 128 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_3 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_3 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_3/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_3/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_3 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_3/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:26:35,595 INFO: Use wandb logger with id=fwq2tyhb; project=Swin2SR-Latent-SR. +2025-10-31 15:26:47,720 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:26:47,721 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 128 + World size (gpu number): 1 + Steps per epoch: 37958 + Configured training steps: 125000 + Approximate epochs to cover: 4. +2025-10-31 15:26:47,727 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:26:47,727 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:26:48,382 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:26:48,606 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:26:48,607 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:26:48,609 INFO: Use EMA with decay: 0.999 +2025-10-31 15:26:49,146 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:26:49,208 INFO: Loss [L1Loss] is created. +2025-10-31 15:26:49,209 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:26:49,210 INFO: Loss [L1Loss] is created. +2025-10-31 15:26:49,211 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:26:50,138 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:26:50,147 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:26:51,067 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:26:51,082 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:26:52,416 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:26:52,423 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:26:53,360 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:26:53,367 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:26:53,387 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:26:53,391 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:26:53,391 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:26:53,392 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:26:53,395 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:26:53,395 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:26:54,664 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:27:00,629 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_4/basicsr_options.yaml b/31_10_2025/29_4/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..35cbf57d7229dc0d28ab7a45ec736d82dbf2b374 --- /dev/null +++ b/31_10_2025/29_4/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:28:01 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 8 + batch_size_per_gpu: 32 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_4' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_4/train_29_4_20251031_152801.log b/31_10_2025/29_4/train_29_4_20251031_152801.log new file mode 100644 index 0000000000000000000000000000000000000000..d42d904c8c194f9c283afff1f8bf0b2a7d5a8374 --- /dev/null +++ b/31_10_2025/29_4/train_29_4_20251031_152801.log @@ -0,0 +1,506 @@ +2025-10-31 15:28:01,756 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:28:01,756 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 8 + batch_size_per_gpu: 32 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_4 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_4 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_4/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_4/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_4 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_4/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:28:03,559 INFO: Use wandb logger with id=76p7xl8h; project=Swin2SR-Latent-SR. +2025-10-31 15:28:15,474 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:28:15,475 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 32 + World size (gpu number): 1 + Steps per epoch: 151829 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 15:28:15,480 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:28:15,480 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:28:16,137 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:28:16,349 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:28:16,350 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:28:16,352 INFO: Use EMA with decay: 0.999 +2025-10-31 15:28:16,790 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:28:16,858 INFO: Loss [L1Loss] is created. +2025-10-31 15:28:16,859 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:28:16,860 INFO: Loss [L1Loss] is created. +2025-10-31 15:28:16,861 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:28:17,760 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:28:17,771 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:28:18,641 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:28:18,654 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:28:19,587 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:28:19,594 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:28:20,518 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:28:20,525 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:28:20,546 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:28:20,550 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:28:20,551 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:28:20,551 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:28:20,553 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:28:20,553 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:28:21,234 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:28:22,635 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_5/basicsr_options.yaml b/31_10_2025/29_5/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..42116554ff5b34cccac163a8b3477cab95fdad31 --- /dev/null +++ b/31_10_2025/29_5/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:29:31 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_5' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_5/train_29_5_20251031_152931.log b/31_10_2025/29_5/train_29_5_20251031_152931.log new file mode 100644 index 0000000000000000000000000000000000000000..a0dcde60d91a889a947deaf80f4120a3bb239132 --- /dev/null +++ b/31_10_2025/29_5/train_29_5_20251031_152931.log @@ -0,0 +1,506 @@ +2025-10-31 15:29:31,477 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:29:31,477 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_5 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_5 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_5/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_5/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_5 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_5/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:29:33,292 INFO: Use wandb logger with id=ru10unez; project=Swin2SR-Latent-SR. +2025-10-31 15:29:45,166 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:29:45,167 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 1 + Steps per epoch: 485851 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 15:29:45,172 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:29:45,173 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:29:45,757 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:29:45,984 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:29:45,985 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:29:45,988 INFO: Use EMA with decay: 0.999 +2025-10-31 15:29:46,523 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:29:46,584 INFO: Loss [L1Loss] is created. +2025-10-31 15:29:46,585 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:29:46,586 INFO: Loss [L1Loss] is created. +2025-10-31 15:29:46,587 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:29:47,494 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:29:47,504 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:29:48,368 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:29:48,379 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:29:49,311 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:29:49,318 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:29:50,238 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:29:50,245 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:29:50,265 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:29:50,269 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:29:50,270 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:29:50,271 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:29:50,273 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:29:50,273 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:29:50,831 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:29:51,807 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_6/basicsr_options.yaml b/31_10_2025/29_6/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..83a137edd3afc70808b42203a655156cd618242e --- /dev/null +++ b/31_10_2025/29_6/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:35:29 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 2 + batch_size_per_gpu: 6 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_6' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_6/train_29_6_20251031_153529.log b/31_10_2025/29_6/train_29_6_20251031_153529.log new file mode 100644 index 0000000000000000000000000000000000000000..1a83bd0f576201ff13614b072256d0c84aa80dc0 --- /dev/null +++ b/31_10_2025/29_6/train_29_6_20251031_153529.log @@ -0,0 +1,506 @@ +2025-10-31 15:35:29,854 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:35:29,855 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 2 + batch_size_per_gpu: 6 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_6 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_6 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_6/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_6/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_6 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_6/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:35:31,574 INFO: Use wandb logger with id=lrfq9fxn; project=Swin2SR-Latent-SR. +2025-10-31 15:35:43,674 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:35:43,675 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 6 + World size (gpu number): 1 + Steps per epoch: 809752 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 15:35:43,679 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:35:43,680 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:35:44,269 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:35:44,499 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:35:44,500 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:35:44,503 INFO: Use EMA with decay: 0.999 +2025-10-31 15:35:45,040 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:35:45,107 INFO: Loss [L1Loss] is created. +2025-10-31 15:35:45,108 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:35:45,110 INFO: Loss [L1Loss] is created. +2025-10-31 15:35:45,110 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:35:46,032 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:35:46,042 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:35:46,896 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:35:46,905 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:35:47,816 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:35:47,823 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:35:48,744 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:35:48,752 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:35:48,772 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:35:48,776 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:35:48,777 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:35:48,777 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:35:48,779 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:35:48,779 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:35:49,271 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:35:50,237 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_7/basicsr_options.yaml b/31_10_2025/29_7/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d11390f04476cc124669eda8bbef387146c123a2 --- /dev/null +++ b/31_10_2025/29_7/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:39:14 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 2 + batch_size_per_gpu: 6 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_7' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_7/train_29_7_20251031_153914.log b/31_10_2025/29_7/train_29_7_20251031_153914.log new file mode 100644 index 0000000000000000000000000000000000000000..8b41f0ed1734e3d7078b86f836f55798f43098a7 --- /dev/null +++ b/31_10_2025/29_7/train_29_7_20251031_153914.log @@ -0,0 +1,508 @@ +2025-10-31 15:39:14,775 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:39:14,775 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 2 + batch_size_per_gpu: 6 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_7 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_7 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_7/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_7/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_7 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_7/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:39:16,523 INFO: Use wandb logger with id=y4n54hao; project=Swin2SR-Latent-SR. +2025-10-31 15:39:28,509 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:39:28,510 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 6 + World size (gpu number): 1 + Steps per epoch: 809752 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 15:39:28,515 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:39:28,515 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:39:29,119 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:39:29,344 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:39:29,346 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:39:29,354 INFO: Use EMA with decay: 0.999 +2025-10-31 15:39:29,880 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:39:29,947 INFO: Loss [L1Loss] is created. +2025-10-31 15:39:29,948 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:39:29,948 INFO: Loss [L1Loss] is created. +2025-10-31 15:39:29,949 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:39:30,850 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:39:30,861 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:39:31,726 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:39:31,754 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:39:32,684 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:39:32,691 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:39:33,608 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:39:33,615 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:39:33,635 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:39:33,640 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:39:33,640 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:39:33,640 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:39:33,642 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:39:33,643 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:39:34,112 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:39:34,982 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 15:40:55,241 INFO: [29_7..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 1 day, 1:20:31, time (data): 0.811 (0.004)] l1_pixel_x2_opt: 1.1682e-01 l1_pixel_x4_opt: 1.5110e-01 lpips_x2_opt: 5.1885e-01 lpips_x4_opt: 6.2444e-01 fdl_x2_opt: 6.7532e-01 fdl_x4_opt: 5.9018e-01 l_g_gan_pixel_patch: 8.2147e-02 l_d_real_pixel_patch: 3.0635e-01 out_d_real_pixel_patch: 4.8120e-01 l_d_fake_pixel_patch: 1.8405e-01 out_d_fake_pixel_patch: 3.8665e-01 +2025-10-31 15:42:10,500 INFO: [29_7..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 1 day, 1:42:13, time (data): 0.782 (0.002)] l1_pixel_x2_opt: 1.1001e-01 l1_pixel_x4_opt: 1.5468e-01 lpips_x2_opt: 4.9849e-01 lpips_x4_opt: 6.2265e-01 fdl_x2_opt: 7.2130e-01 fdl_x4_opt: 6.8727e-01 l_g_gan_pixel_patch: 8.0977e-02 l_d_real_pixel_patch: 2.1632e-01 out_d_real_pixel_patch: 5.7735e-01 l_d_fake_pixel_patch: 1.7330e-01 out_d_fake_pixel_patch: 3.8421e-01 diff --git a/31_10_2025/29_8/basicsr_options.yaml b/31_10_2025/29_8/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b86e7520299f2589f9e432a617d71d3d39f716aa --- /dev/null +++ b/31_10_2025/29_8/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 15:43:15 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 2 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 75000 + - 90000 + - 110000 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 200 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29_8' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_8/train_29_8_20251031_154315.log b/31_10_2025/29_8/train_29_8_20251031_154315.log new file mode 100644 index 0000000000000000000000000000000000000000..47ba097103f0b8e1dd3bd9293dcbcad7ddf51a59 --- /dev/null +++ b/31_10_2025/29_8/train_29_8_20251031_154315.log @@ -0,0 +1,512 @@ +2025-10-31 15:43:15,887 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 15:43:15,887 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 1 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 2 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [75000, 90000, 110000] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 200 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29_8 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_8 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_8/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_8/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_8 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29_8/visualization + ] + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 15:43:17,668 INFO: Use wandb logger with id=64417fko; project=Swin2SR-Latent-SR. +2025-10-31 15:43:29,348 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 15:43:29,350 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 1 + Steps per epoch: 607314 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 15:43:29,355 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 15:43:29,355 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 15:43:29,946 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:43:30,224 INFO: Network: SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 15:43:30,226 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 15:43:30,229 INFO: Use EMA with decay: 0.999 +2025-10-31 15:43:30,773 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 15:43:30,835 INFO: Loss [L1Loss] is created. +2025-10-31 15:43:30,836 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 15:43:30,836 INFO: Loss [L1Loss] is created. +2025-10-31 15:43:30,837 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 15:43:31,746 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:43:31,754 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 15:43:32,621 INFO: Loss [LPIPSLoss] is created. +2025-10-31 15:43:32,667 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 15:43:33,616 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:43:33,623 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 15:43:34,543 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 15:43:34,551 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 15:43:34,573 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 15:43:34,577 INFO: Network: HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 15:43:34,577 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 15:43:34,578 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 15:43:34,580 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 15:43:34,581 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 15:43:35,087 INFO: Start training from epoch: 0, step: 0 +2025-10-31 15:43:36,060 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 15:45:16,980 INFO: [29_8..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 1 day, 8:15:34, time (data): 1.019 (0.005)] l1_pixel_x2_opt: 1.2990e-01 l1_pixel_x4_opt: 1.6724e-01 lpips_x2_opt: 4.7098e-01 lpips_x4_opt: 5.9550e-01 fdl_x2_opt: 6.2573e-01 fdl_x4_opt: 5.4616e-01 l_g_gan_pixel_patch: 6.6488e-02 l_d_real_pixel_patch: 2.3049e-01 out_d_real_pixel_patch: 5.7949e-01 l_d_fake_pixel_patch: 2.7449e-01 out_d_fake_pixel_patch: 4.7103e-01 +2025-10-31 15:46:52,286 INFO: [29_8..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 1 day, 8:38:04, time (data): 0.986 (0.003)] l1_pixel_x2_opt: 7.5642e-02 l1_pixel_x4_opt: 1.1855e-01 lpips_x2_opt: 4.1740e-01 lpips_x4_opt: 5.7868e-01 fdl_x2_opt: 5.5774e-01 fdl_x4_opt: 5.3563e-01 l_g_gan_pixel_patch: 7.7463e-02 l_d_real_pixel_patch: 2.6543e-01 out_d_real_pixel_patch: 5.2947e-01 l_d_fake_pixel_patch: 1.9709e-01 out_d_fake_pixel_patch: 4.0489e-01 +2025-10-31 15:48:06,409 INFO: Validation val_x2 + # l1_latent: 1.7960 Best: 1.7960 @ 200 iter + # pixel_psnr_pt: 15.1073 Best: 15.1073 @ 200 iter + diff --git a/31_10_2025/29_archived_20251031_213358/basicsr_options.yaml b/31_10_2025/29_archived_20251031_213358/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a602994cdd5d9a7a8fe13b1db0d10518ddc2c16e --- /dev/null +++ b/31_10_2025/29_archived_20251031_213358/basicsr_options.yaml @@ -0,0 +1,264 @@ +# GENERATE TIME: Fri Oct 31 16:02:39 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 2 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 125000 + - 175000 + - 225000 + gamma: 0.5 + total_steps: 250000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + lpips_x2_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: true + lpips_x4_opt: + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: true + fdl_x2_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + fdl_x4_opt: + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights: + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: false + alpha: 0.5 + normalize_weight: true + detach_target: true + adversarial: + pixel_patch: + space: pixel + target: x4 + network: + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: false + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: false + loss: + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + optim: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.5 + - 0.999 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 diff --git a/31_10_2025/29_archived_20251031_213358/train_29_20251031_160239.log b/31_10_2025/29_archived_20251031_213358/train_29_20251031_160239.log new file mode 100644 index 0000000000000000000000000000000000000000..0e98c448611d54d2aadd8c1cc14bbfdfe618d414 --- /dev/null +++ b/31_10_2025/29_archived_20251031_213358/train_29_20251031_160239.log @@ -0,0 +1,109121 @@ +2025-10-31 16:02:39,628 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 16:02:39,628 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 4 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 2 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.00015 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + discriminator:[ + type: norm + max_norm: 0.5 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [125000, 175000, 225000] + gamma: 0.5 + ] + total_steps: 250000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + lpips_x2_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x2 + net: vgg + reduction: mean + detach_target: True + ] + lpips_x4_opt:[ + type: LPIPSLoss + loss_weight: 0.05 + space: pixel + target: x4 + net: vgg + reduction: mean + detach_target: True + ] + fdl_x2_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x2 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + fdl_x4_opt:[ + type: FrequencyDistributionLoss + loss_weight: 0.15 + space: pixel + target: x4 + layer_weights:[ + relu2_2: 0.5 + relu3_4: 1.0 + relu4_4: 1.0 + ] + vgg_type: vgg19 + reduction: mean + norm: ortho + use_log_amplitude: False + alpha: 0.5 + normalize_weight: True + detach_target: True + ] + adversarial:[ + pixel_patch:[ + space: pixel + target: x4 + network:[ + type: HiFaceGANDiscriminator + num_in_ch: 3 + num_out_ch: 3 + conditional_d: False + num_d: 2 + n_layers_d: 4 + num_feat: 64 + norm_d: spectralinstance + keep_features: False + ] + loss:[ + type: MultiScaleGANLoss + gan_type: lsgan + loss_weight: 0.2 + ] + optim:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.5, 0.999] + ] + ] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + path:[ + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + dist: True + rank: 0 + world_size: 4 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 16:02:41,458 INFO: Use wandb logger with id=001s9sux; project=Swin2SR-Latent-SR. +2025-10-31 16:02:54,446 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 16:02:54,448 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 4 + Steps per epoch: 151829 + Configured training steps: 250000 + Approximate epochs to cover: 2. +2025-10-31 16:02:54,451 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 16:02:54,451 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 16:02:54,876 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 16:02:56,701 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 16:02:56,702 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 16:02:56,705 INFO: Use EMA with decay: 0.999 +2025-10-31 16:02:57,159 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 16:02:57,224 INFO: Loss [L1Loss] is created. +2025-10-31 16:02:57,225 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 16:02:57,225 INFO: Loss [L1Loss] is created. +2025-10-31 16:02:57,226 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 16:02:58,253 INFO: Loss [LPIPSLoss] is created. +2025-10-31 16:02:58,262 INFO: Initialized lpips_x2_opt in pixel space (w=0.05). +2025-10-31 16:02:59,260 INFO: Loss [LPIPSLoss] is created. +2025-10-31 16:02:59,273 INFO: Initialized lpips_x4_opt in pixel space (w=0.05). +2025-10-31 16:03:00,356 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 16:03:00,362 INFO: Initialized fdl_x2_opt in pixel space (w=0.15). +2025-10-31 16:03:01,433 INFO: Loss [FrequencyDistributionLoss] is created. +2025-10-31 16:03:01,440 INFO: Initialized fdl_x4_opt in pixel space (w=0.15). +2025-10-31 16:03:01,460 INFO: Network [HiFaceGANDiscriminator] is created. +2025-10-31 16:03:02,119 INFO: Network: DistributedDataParallel - HiFaceGANDiscriminator, with parameters: 5,527,682 +2025-10-31 16:03:02,120 INFO: HiFaceGANDiscriminator( + (discriminator_0): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) + (discriminator_1): NLayerDiscriminator( + (model0): Sequential( + (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2)) + (1): LeakyReLU(negative_slope=0.2) + ) + (model1): Sequential( + (0): Sequential( + (0): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(128, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model2): Sequential( + (0): Sequential( + (0): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(2, 2), bias=False) + (1): InstanceNorm2d(256, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model3): Sequential( + (0): Sequential( + (0): Conv2d(256, 512, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2), bias=False) + (1): InstanceNorm2d(512, eps=1e-05, momentum=0.1, affine=False, track_running_stats=False) + ) + (1): LeakyReLU(negative_slope=0.2) + ) + (model4): Sequential( + (0): Conv2d(512, 1, kernel_size=(4, 4), stride=(1, 1), padding=(2, 2)) + ) + ) +) +2025-10-31 16:03:02,120 INFO: Loss [MultiScaleGANLoss] is created. +2025-10-31 16:03:02,123 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0), D:norm(max_norm=0.5, norm_type=2.0)). +2025-10-31 16:03:02,123 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 16:03:43,627 INFO: Start training from epoch: 0, step: 0 +2025-10-31 16:03:45,851 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 16:05:36,916 INFO: [29..][epoch: 0, step: 100, lr:(1.500e-04,)] [eta: 2 days, 18:05:04, time (data): 1.133 (0.015)] l1_pixel_x2_opt: 1.0198e-01 l1_pixel_x4_opt: 1.5078e-01 lpips_x2_opt: 4.5967e-01 lpips_x4_opt: 5.8679e-01 fdl_x2_opt: 6.6338e-01 fdl_x4_opt: 6.2444e-01 l_g_gan_pixel_patch: 6.9926e-02 l_d_real_pixel_patch: 2.5086e-01 out_d_real_pixel_patch: 5.5922e-01 l_d_fake_pixel_patch: 2.5242e-01 out_d_fake_pixel_patch: 4.5140e-01 +2025-10-31 16:07:14,442 INFO: [29..][epoch: 0, step: 200, lr:(1.500e-04,)] [eta: 2 days, 18:51:39, time (data): 1.054 (0.008)] l1_pixel_x2_opt: 9.7039e-02 l1_pixel_x4_opt: 1.4807e-01 lpips_x2_opt: 4.2459e-01 lpips_x4_opt: 5.8786e-01 fdl_x2_opt: 6.7705e-01 fdl_x4_opt: 6.5673e-01 l_g_gan_pixel_patch: 9.4097e-02 l_d_real_pixel_patch: 3.2727e-01 out_d_real_pixel_patch: 6.1864e-01 l_d_fake_pixel_patch: 3.9058e-01 out_d_fake_pixel_patch: 4.6006e-01 +2025-10-31 16:08:51,591 INFO: [29..][epoch: 0, step: 300, lr:(1.500e-04,)] [eta: 2 days, 19:00:59, time (data): 0.971 (0.000)] l1_pixel_x2_opt: 1.6211e-01 l1_pixel_x4_opt: 4.1647e-01 lpips_x2_opt: 5.3954e-01 lpips_x4_opt: 7.2463e-01 fdl_x2_opt: 6.8083e-01 fdl_x4_opt: 7.9275e-01 l_g_gan_pixel_patch: 8.8155e-02 l_d_real_pixel_patch: 1.6891e-01 out_d_real_pixel_patch: 6.5918e-01 l_d_fake_pixel_patch: 1.6724e-01 out_d_fake_pixel_patch: 3.6323e-01 +2025-10-31 16:10:28,549 INFO: [29..][epoch: 0, step: 400, lr:(1.500e-04,)] [eta: 2 days, 19:02:53, time (data): 0.970 (0.000)] l1_pixel_x2_opt: 1.1542e-01 l1_pixel_x4_opt: 2.4644e-01 lpips_x2_opt: 4.5515e-01 lpips_x4_opt: 7.2426e-01 fdl_x2_opt: 6.5235e-01 fdl_x4_opt: 7.5345e-01 l_g_gan_pixel_patch: 1.6064e-01 l_d_real_pixel_patch: 2.0026e-01 out_d_real_pixel_patch: 6.5624e-01 l_d_fake_pixel_patch: 5.2738e-02 out_d_fake_pixel_patch: 1.2477e-01 +2025-10-31 16:12:06,021 INFO: [29..][epoch: 0, step: 500, lr:(1.500e-04,)] [eta: 2 days, 19:07:38, time (data): 0.975 (0.000)] l1_pixel_x2_opt: 9.1426e-02 l1_pixel_x4_opt: 1.5782e-01 lpips_x2_opt: 4.2133e-01 lpips_x4_opt: 6.6905e-01 fdl_x2_opt: 6.5969e-01 fdl_x4_opt: 6.5455e-01 l_g_gan_pixel_patch: 9.7472e-02 l_d_real_pixel_patch: 1.1722e-01 out_d_real_pixel_patch: 8.0623e-01 l_d_fake_pixel_patch: 1.6585e-01 out_d_fake_pixel_patch: 3.3924e-01 +2025-10-31 16:13:13,678 ERROR: Encountered non-finite generator loss at iter 570; skipping update. +2025-10-31 16:13:13,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:13,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:13,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:13,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:13,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:13,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:13,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:13,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:13,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.29, mean=-0.2687, std=3.04, absmax=13.29 +2025-10-31 16:13:13,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=9.973, mean=-0.2003, std=2.56, absmax=10.94 +2025-10-31 16:13:18,597 ERROR: Encountered non-finite generator loss at iter 571; skipping update. +2025-10-31 16:13:18,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:18,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:18,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:18,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:18,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:18,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:18,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:18,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:18,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=16.34, mean=-0.1894, std=2.9, absmax=16.34 +2025-10-31 16:13:18,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=12.36, mean=-0.211, std=2.339, absmax=12.36 +2025-10-31 16:13:19,098 ERROR: Encountered non-finite generator loss at iter 572; skipping update. +2025-10-31 16:13:19,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:19,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:19,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=16.99, mean=-0.1253, std=3.141, absmax=16.99 +2025-10-31 16:13:19,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.61, max=12.3, mean=-0.1275, std=2.555, absmax=12.3 +2025-10-31 16:13:19,598 ERROR: Encountered non-finite generator loss at iter 573; skipping update. +2025-10-31 16:13:19,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:19,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:19,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:19,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:19,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=14.6, mean=-0.1017, std=2.898, absmax=14.6 +2025-10-31 16:13:19,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.75, mean=-0.1316, std=2.606, absmax=11.75 +2025-10-31 16:13:20,097 ERROR: Encountered non-finite generator loss at iter 574; skipping update. +2025-10-31 16:13:20,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:20,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:20,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.28, mean=-0.09329, std=2.854, absmax=13.04 +2025-10-31 16:13:20,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.733, mean=-0.1204, std=2.465, absmax=10.01 +2025-10-31 16:13:20,596 ERROR: Encountered non-finite generator loss at iter 575; skipping update. +2025-10-31 16:13:20,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:20,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:20,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:20,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:20,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.16, mean=-0.1028, std=3.044, absmax=14.16 +2025-10-31 16:13:20,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.85, mean=-0.119, std=2.49, absmax=10.85 +2025-10-31 16:13:21,098 ERROR: Encountered non-finite generator loss at iter 576; skipping update. +2025-10-31 16:13:21,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:21,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:21,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=13.66, mean=-0.2256, std=3.214, absmax=14.62 +2025-10-31 16:13:21,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.43, max=9.103, mean=-0.2286, std=2.711, absmax=12.43 +2025-10-31 16:13:21,596 ERROR: Encountered non-finite generator loss at iter 577; skipping update. +2025-10-31 16:13:21,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:21,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:21,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:21,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:21,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.66, mean=-0.1009, std=2.985, absmax=14.66 +2025-10-31 16:13:21,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.681, max=11.54, mean=-0.1287, std=2.52, absmax=11.54 +2025-10-31 16:13:22,096 ERROR: Encountered non-finite generator loss at iter 578; skipping update. +2025-10-31 16:13:22,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:22,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:22,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.09, max=12.12, mean=-0.3082, std=3.184, absmax=16.09 +2025-10-31 16:13:22,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=11.19, mean=-0.3036, std=2.58, absmax=12.26 +2025-10-31 16:13:22,597 ERROR: Encountered non-finite generator loss at iter 579; skipping update. +2025-10-31 16:13:22,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:22,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:22,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:22,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:22,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.02, mean=-0.2288, std=2.922, absmax=14.02 +2025-10-31 16:13:22,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=9.705, mean=-0.1943, std=2.363, absmax=11.31 +2025-10-31 16:13:23,097 ERROR: Encountered non-finite generator loss at iter 580; skipping update. +2025-10-31 16:13:23,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:23,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:23,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.85, mean=-0.1404, std=3.346, absmax=13.04 +2025-10-31 16:13:23,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=11.38, mean=-0.1217, std=2.723, absmax=11.38 +2025-10-31 16:13:23,599 ERROR: Encountered non-finite generator loss at iter 581; skipping update. +2025-10-31 16:13:23,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:23,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:23,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:23,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:23,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.12, mean=-0.1891, std=2.515, absmax=12.12 +2025-10-31 16:13:23,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.137, max=7.862, mean=-0.1884, std=2.051, absmax=8.137 +2025-10-31 16:13:24,099 ERROR: Encountered non-finite generator loss at iter 582; skipping update. +2025-10-31 16:13:24,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:24,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:24,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=10.02, mean=-0.05575, std=2.608, absmax=14.35 +2025-10-31 16:13:24,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.59, max=8.223, mean=-0.03974, std=2.307, absmax=12.59 +2025-10-31 16:13:24,600 ERROR: Encountered non-finite generator loss at iter 583; skipping update. +2025-10-31 16:13:24,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:24,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:24,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:24,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:24,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.82, mean=-0.1846, std=2.952, absmax=13.82 +2025-10-31 16:13:24,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.441, max=10.73, mean=-0.2004, std=2.458, absmax=10.73 +2025-10-31 16:13:25,102 ERROR: Encountered non-finite generator loss at iter 584; skipping update. +2025-10-31 16:13:25,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:25,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:25,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=11.42, mean=-0.08383, std=2.496, absmax=11.42 +2025-10-31 16:13:25,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.492, max=10.16, mean=-0.1029, std=2.162, absmax=10.16 +2025-10-31 16:13:25,602 ERROR: Encountered non-finite generator loss at iter 585; skipping update. +2025-10-31 16:13:25,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:25,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:25,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:25,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:25,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.25, mean=-0.3352, std=2.819, absmax=13.25 +2025-10-31 16:13:25,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=8.977, mean=-0.3047, std=2.29, absmax=10.5 +2025-10-31 16:13:26,102 ERROR: Encountered non-finite generator loss at iter 586; skipping update. +2025-10-31 16:13:26,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:26,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:26,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=15.33, mean=-0.01981, std=3.659, absmax=15.33 +2025-10-31 16:13:26,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=14.81, mean=0.03518, std=3.303, absmax=14.81 +2025-10-31 16:13:26,602 ERROR: Encountered non-finite generator loss at iter 587; skipping update. +2025-10-31 16:13:26,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:26,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:26,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:26,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:26,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=10.48, mean=-0.1792, std=2.516, absmax=10.99 +2025-10-31 16:13:26,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.095, max=7.426, mean=-0.206, std=2.147, absmax=9.095 +2025-10-31 16:13:27,104 ERROR: Encountered non-finite generator loss at iter 588; skipping update. +2025-10-31 16:13:27,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:27,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:27,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=14.97, mean=-0.04321, std=2.712, absmax=14.97 +2025-10-31 16:13:27,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.189, max=10.8, mean=-0.02938, std=2.246, absmax=10.8 +2025-10-31 16:13:27,605 ERROR: Encountered non-finite generator loss at iter 589; skipping update. +2025-10-31 16:13:27,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,608 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:27,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:27,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:27,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:27,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.8, mean=-0.03228, std=3.302, absmax=14.8 +2025-10-31 16:13:27,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.38, mean=-0.01813, std=2.695, absmax=11.38 +2025-10-31 16:13:28,105 ERROR: Encountered non-finite generator loss at iter 590; skipping update. +2025-10-31 16:13:28,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:28,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:28,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.64, mean=-0.1655, std=2.771, absmax=13.64 +2025-10-31 16:13:28,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=9.59, mean=-0.2059, std=2.28, absmax=9.824 +2025-10-31 16:13:28,607 ERROR: Encountered non-finite generator loss at iter 591; skipping update. +2025-10-31 16:13:28,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:28,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:28,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:28,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:28,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.95, max=12.78, mean=-0.2654, std=2.878, absmax=15.95 +2025-10-31 16:13:28,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=11.18, mean=-0.2474, std=2.388, absmax=11.44 +2025-10-31 16:13:29,108 ERROR: Encountered non-finite generator loss at iter 592; skipping update. +2025-10-31 16:13:29,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:29,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:29,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=17.49, mean=-0.03037, std=3.019, absmax=17.49 +2025-10-31 16:13:29,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=13.27, mean=-0.1002, std=2.522, absmax=13.27 +2025-10-31 16:13:29,608 ERROR: Encountered non-finite generator loss at iter 593; skipping update. +2025-10-31 16:13:29,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:29,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:29,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:29,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:29,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15.4, mean=-0.1796, std=3.531, absmax=15.4 +2025-10-31 16:13:29,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=12.67, mean=-0.1787, std=2.898, absmax=12.67 +2025-10-31 16:13:30,110 ERROR: Encountered non-finite generator loss at iter 594; skipping update. +2025-10-31 16:13:30,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:30,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:30,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.45, mean=-0.1682, std=3.118, absmax=13.57 +2025-10-31 16:13:30,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=8.686, mean=-0.1812, std=2.621, absmax=11.15 +2025-10-31 16:13:30,613 ERROR: Encountered non-finite generator loss at iter 595; skipping update. +2025-10-31 16:13:30,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,615 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:30,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:30,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:30,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:30,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.82, mean=-0.09983, std=3.003, absmax=12.67 +2025-10-31 16:13:30,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.476, max=11.22, mean=-0.06055, std=2.678, absmax=11.22 +2025-10-31 16:13:31,113 ERROR: Encountered non-finite generator loss at iter 596; skipping update. +2025-10-31 16:13:31,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:31,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:31,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.76, mean=-0.0437, std=3.115, absmax=14.36 +2025-10-31 16:13:31,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.74, mean=-0.04518, std=2.758, absmax=10.74 +2025-10-31 16:13:31,613 ERROR: Encountered non-finite generator loss at iter 597; skipping update. +2025-10-31 16:13:31,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:31,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:31,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:31,621 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:31,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.14, mean=-0.1036, std=2.842, absmax=14.14 +2025-10-31 16:13:31,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=10.38, mean=-0.07979, std=2.424, absmax=10.51 +2025-10-31 16:13:32,114 ERROR: Encountered non-finite generator loss at iter 598; skipping update. +2025-10-31 16:13:32,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:32,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:32,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.59, mean=-0.2663, std=2.646, absmax=12.59 +2025-10-31 16:13:32,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.785, max=8.514, mean=-0.2847, std=2.419, absmax=9.785 +2025-10-31 16:13:32,615 ERROR: Encountered non-finite generator loss at iter 599; skipping update. +2025-10-31 16:13:32,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:32,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:32,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:32,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:32,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.43, mean=-0.1762, std=2.934, absmax=13.24 +2025-10-31 16:13:32,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=10.29, mean=-0.2204, std=2.461, absmax=10.5 +2025-10-31 16:13:33,120 ERROR: Encountered non-finite generator loss at iter 600; skipping update. +2025-10-31 16:13:33,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:33,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:33,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=13.45, mean=-0.321, std=2.778, absmax=15.25 +2025-10-31 16:13:33,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.727, mean=-0.3056, std=2.212, absmax=10.41 +2025-10-31 16:13:33,130 INFO: [29..][epoch: 0, step: 600, lr:(1.500e-04,)] [eta: 2 days, 17:58:36, time (data): 0.922 (0.000)] +2025-10-31 16:13:33,619 ERROR: Encountered non-finite generator loss at iter 601; skipping update. +2025-10-31 16:13:33,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:33,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:33,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:33,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:33,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.83, mean=0.03652, std=2.916, absmax=11.87 +2025-10-31 16:13:33,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.077, max=9.034, mean=-0.03858, std=2.359, absmax=9.077 +2025-10-31 16:13:34,120 ERROR: Encountered non-finite generator loss at iter 602; skipping update. +2025-10-31 16:13:34,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:34,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:34,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.7, mean=-0.1015, std=2.981, absmax=13.7 +2025-10-31 16:13:34,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.325, max=8.761, mean=-0.1181, std=2.241, absmax=8.761 +2025-10-31 16:13:34,622 ERROR: Encountered non-finite generator loss at iter 603; skipping update. +2025-10-31 16:13:34,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:34,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:34,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:34,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:34,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.87, mean=-0.1288, std=2.929, absmax=14.35 +2025-10-31 16:13:34,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=12.27, mean=-0.1536, std=2.586, absmax=12.27 +2025-10-31 16:13:35,123 ERROR: Encountered non-finite generator loss at iter 604; skipping update. +2025-10-31 16:13:35,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:35,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:35,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.52, mean=-0.151, std=3.491, absmax=13.65 +2025-10-31 16:13:35,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.29, mean=-0.1573, std=2.966, absmax=10.43 +2025-10-31 16:13:35,623 ERROR: Encountered non-finite generator loss at iter 605; skipping update. +2025-10-31 16:13:35,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:35,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:35,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:35,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:35,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=9.208, mean=-0.2313, std=2.548, absmax=13.15 +2025-10-31 16:13:35,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=8.32, mean=-0.2283, std=2.215, absmax=11.1 +2025-10-31 16:13:36,124 ERROR: Encountered non-finite generator loss at iter 606; skipping update. +2025-10-31 16:13:36,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:36,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:36,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.43, mean=0.1125, std=3.239, absmax=13.43 +2025-10-31 16:13:36,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.149, max=11, mean=0.05392, std=2.576, absmax=11 +2025-10-31 16:13:36,624 ERROR: Encountered non-finite generator loss at iter 607; skipping update. +2025-10-31 16:13:36,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:36,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:36,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:36,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:36,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.68, mean=-0.1763, std=2.638, absmax=12.68 +2025-10-31 16:13:36,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.362, max=10.39, mean=-0.2461, std=2.233, absmax=10.39 +2025-10-31 16:13:37,127 ERROR: Encountered non-finite generator loss at iter 608; skipping update. +2025-10-31 16:13:37,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:37,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:37,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.18, mean=-0.3172, std=2.9, absmax=12.22 +2025-10-31 16:13:37,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.111, mean=-0.2466, std=2.474, absmax=11.27 +2025-10-31 16:13:37,628 ERROR: Encountered non-finite generator loss at iter 609; skipping update. +2025-10-31 16:13:37,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:37,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:37,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:37,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:37,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.39, mean=-0.1582, std=3.165, absmax=13.65 +2025-10-31 16:13:37,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.63, max=8.694, mean=-0.172, std=2.649, absmax=12.63 +2025-10-31 16:13:38,136 ERROR: Encountered non-finite generator loss at iter 610; skipping update. +2025-10-31 16:13:38,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:38,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:38,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.89, mean=-0.01391, std=2.982, absmax=13.89 +2025-10-31 16:13:38,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.864, max=10.91, mean=-0.01491, std=2.689, absmax=10.91 +2025-10-31 16:13:38,637 ERROR: Encountered non-finite generator loss at iter 611; skipping update. +2025-10-31 16:13:38,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,642 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:38,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:38,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:38,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:38,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=17.73, mean=0.08825, std=3.411, absmax=17.73 +2025-10-31 16:13:38,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.32, max=11.76, mean=0.03202, std=2.77, absmax=11.76 +2025-10-31 16:13:39,235 ERROR: Encountered non-finite generator loss at iter 612; skipping update. +2025-10-31 16:13:39,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:39,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:39,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.23, mean=-0.2042, std=2.855, absmax=14.08 +2025-10-31 16:13:39,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.297, max=9.208, mean=-0.2377, std=2.331, absmax=9.297 +2025-10-31 16:13:39,735 ERROR: Encountered non-finite generator loss at iter 613; skipping update. +2025-10-31 16:13:39,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:39,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:39,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:39,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:39,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.54, mean=-0.01977, std=3.366, absmax=12.54 +2025-10-31 16:13:39,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.883, max=10.26, mean=0.0005629, std=2.745, absmax=10.26 +2025-10-31 16:13:40,243 ERROR: Encountered non-finite generator loss at iter 614; skipping update. +2025-10-31 16:13:40,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:40,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:40,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.59, mean=-0.276, std=3.122, absmax=13.59 +2025-10-31 16:13:40,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=11.9, mean=-0.2214, std=2.576, absmax=11.9 +2025-10-31 16:13:40,745 ERROR: Encountered non-finite generator loss at iter 615; skipping update. +2025-10-31 16:13:40,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:40,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:40,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:40,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:40,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=9.26, mean=-0.2557, std=2.492, absmax=11.27 +2025-10-31 16:13:40,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.382, max=8.074, mean=-0.2798, std=2.259, absmax=9.382 +2025-10-31 16:13:41,248 ERROR: Encountered non-finite generator loss at iter 616; skipping update. +2025-10-31 16:13:41,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:41,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:41,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.39, mean=-0.2205, std=2.897, absmax=13.39 +2025-10-31 16:13:41,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=12.26, mean=-0.2486, std=2.393, absmax=12.26 +2025-10-31 16:13:41,751 ERROR: Encountered non-finite generator loss at iter 617; skipping update. +2025-10-31 16:13:41,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:41,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:41,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:41,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:41,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.37, mean=-0.2779, std=2.373, absmax=12 +2025-10-31 16:13:41,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=7.41, mean=-0.2819, std=2.04, absmax=10.84 +2025-10-31 16:13:42,252 ERROR: Encountered non-finite generator loss at iter 618; skipping update. +2025-10-31 16:13:42,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:42,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:42,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=14.49, mean=-0.02654, std=3.357, absmax=14.49 +2025-10-31 16:13:42,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=11.21, mean=-0.05649, std=2.638, absmax=13.26 +2025-10-31 16:13:42,755 ERROR: Encountered non-finite generator loss at iter 619; skipping update. +2025-10-31 16:13:42,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:42,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:42,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:42,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:42,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.98, mean=-0.2216, std=3.009, absmax=11.98 +2025-10-31 16:13:42,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.01, mean=-0.2182, std=2.578, absmax=11.01 +2025-10-31 16:13:43,257 ERROR: Encountered non-finite generator loss at iter 620; skipping update. +2025-10-31 16:13:43,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:43,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:43,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.7, mean=-0.204, std=2.632, absmax=12.1 +2025-10-31 16:13:43,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.491, mean=-0.1636, std=2.148, absmax=10.08 +2025-10-31 16:13:43,758 ERROR: Encountered non-finite generator loss at iter 621; skipping update. +2025-10-31 16:13:43,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:43,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:43,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:43,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:43,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.98, mean=-0.1316, std=3.392, absmax=14.15 +2025-10-31 16:13:43,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=10.86, mean=-0.1711, std=2.78, absmax=11.37 +2025-10-31 16:13:44,260 ERROR: Encountered non-finite generator loss at iter 622; skipping update. +2025-10-31 16:13:44,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:44,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:44,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.24, mean=-0.09413, std=3.159, absmax=15.24 +2025-10-31 16:13:44,268 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.368, max=11.97, mean=-0.1113, std=2.613, absmax=11.97 +2025-10-31 16:13:44,760 ERROR: Encountered non-finite generator loss at iter 623; skipping update. +2025-10-31 16:13:44,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:44,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:44,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:44,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:44,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.31, mean=-0.1051, std=3.04, absmax=12.31 +2025-10-31 16:13:44,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.43, mean=-0.05997, std=2.538, absmax=10.43 +2025-10-31 16:13:45,257 ERROR: Encountered non-finite generator loss at iter 624; skipping update. +2025-10-31 16:13:45,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:45,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:45,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:45,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:45,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:45,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:45,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:45,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:45,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=13.8, mean=-0.2292, std=3.125, absmax=14.53 +2025-10-31 16:13:45,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.35, mean=-0.1823, std=2.556, absmax=10.87 +2025-10-31 16:13:46,324 ERROR: Encountered non-finite generator loss at iter 625; skipping update. +2025-10-31 16:13:46,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:46,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:46,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.66, mean=-0.07198, std=2.866, absmax=12.66 +2025-10-31 16:13:46,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.661, max=10.09, mean=-0.07855, std=2.48, absmax=10.09 +2025-10-31 16:13:46,829 ERROR: Encountered non-finite generator loss at iter 626; skipping update. +2025-10-31 16:13:46,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:46,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:46,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:46,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:46,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.8, mean=-0.2385, std=2.618, absmax=13.8 +2025-10-31 16:13:46,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=11.45, mean=-0.2641, std=2.257, absmax=11.45 +2025-10-31 16:13:47,331 ERROR: Encountered non-finite generator loss at iter 627; skipping update. +2025-10-31 16:13:47,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:47,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:47,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.57, mean=-0.108, std=3.087, absmax=12.59 +2025-10-31 16:13:47,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.085, mean=-0.1034, std=2.72, absmax=10.41 +2025-10-31 16:13:47,836 ERROR: Encountered non-finite generator loss at iter 628; skipping update. +2025-10-31 16:13:47,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:47,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:47,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:47,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:47,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.36, mean=-0.205, std=3.215, absmax=13.57 +2025-10-31 16:13:47,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=10.53, mean=-0.1792, std=2.582, absmax=10.53 +2025-10-31 16:13:48,340 ERROR: Encountered non-finite generator loss at iter 629; skipping update. +2025-10-31 16:13:48,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:48,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:48,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.34, mean=-0.3181, std=2.565, absmax=12.34 +2025-10-31 16:13:48,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=8.166, mean=-0.2998, std=2.151, absmax=9.22 +2025-10-31 16:13:48,843 ERROR: Encountered non-finite generator loss at iter 630; skipping update. +2025-10-31 16:13:48,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:48,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:48,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:48,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:48,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.36, mean=-0.2585, std=3.394, absmax=12.94 +2025-10-31 16:13:48,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.794, mean=-0.229, std=2.867, absmax=10.78 +2025-10-31 16:13:49,346 ERROR: Encountered non-finite generator loss at iter 631; skipping update. +2025-10-31 16:13:49,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:49,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:49,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.35, mean=-0.1002, std=3.013, absmax=12.35 +2025-10-31 16:13:49,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.266, max=8.287, mean=-0.09224, std=2.573, absmax=9.266 +2025-10-31 16:13:49,850 ERROR: Encountered non-finite generator loss at iter 632; skipping update. +2025-10-31 16:13:49,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,854 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:49,855 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:49,856 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:49,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:49,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=10.42, mean=-0.2598, std=2.413, absmax=12.31 +2025-10-31 16:13:49,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.099, max=7.491, mean=-0.255, std=1.971, absmax=9.099 +2025-10-31 16:13:50,353 ERROR: Encountered non-finite generator loss at iter 633; skipping update. +2025-10-31 16:13:50,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,355 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,356 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:50,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:50,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=15.36, mean=-0.05711, std=2.848, absmax=15.36 +2025-10-31 16:13:50,362 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.747, max=10.7, mean=-0.05209, std=2.523, absmax=10.7 +2025-10-31 16:13:50,855 ERROR: Encountered non-finite generator loss at iter 634; skipping update. +2025-10-31 16:13:50,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,860 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:50,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:50,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:50,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:50,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.27, mean=-0.03213, std=3.121, absmax=12.65 +2025-10-31 16:13:50,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.86, max=10.08, mean=-0.05993, std=2.6, absmax=10.08 +2025-10-31 16:13:51,358 ERROR: Encountered non-finite generator loss at iter 635; skipping update. +2025-10-31 16:13:51,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,364 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:51,365 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:51,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.16, mean=-0.1303, std=3.453, absmax=15.16 +2025-10-31 16:13:51,367 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=14.82, mean=-0.08121, std=3.15, absmax=14.82 +2025-10-31 16:13:51,860 ERROR: Encountered non-finite generator loss at iter 636; skipping update. +2025-10-31 16:13:51,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:51,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:51,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:51,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:51,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.24, mean=-0.3036, std=2.927, absmax=12.67 +2025-10-31 16:13:51,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=8.853, mean=-0.2895, std=2.523, absmax=11.43 +2025-10-31 16:13:52,362 ERROR: Encountered non-finite generator loss at iter 637; skipping update. +2025-10-31 16:13:52,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,366 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,366 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:52,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:52,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.76, mean=-0.3095, std=2.933, absmax=11.76 +2025-10-31 16:13:52,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.137, mean=-0.2781, std=2.518, absmax=10.23 +2025-10-31 16:13:52,866 ERROR: Encountered non-finite generator loss at iter 638; skipping update. +2025-10-31 16:13:52,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:52,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:52,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:52,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:52,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.12, mean=-0.1231, std=2.974, absmax=13.32 +2025-10-31 16:13:52,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.652, max=9.178, mean=-0.1067, std=2.537, absmax=9.652 +2025-10-31 16:13:53,368 ERROR: Encountered non-finite generator loss at iter 639; skipping update. +2025-10-31 16:13:53,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,371 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:53,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:53,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12, mean=-0.2562, std=3.161, absmax=14.49 +2025-10-31 16:13:53,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.33, mean=-0.2414, std=2.689, absmax=10.91 +2025-10-31 16:13:53,870 ERROR: Encountered non-finite generator loss at iter 640; skipping update. +2025-10-31 16:13:53,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:53,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:53,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:53,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:53,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.18, mean=-0.06504, std=3.613, absmax=15.18 +2025-10-31 16:13:53,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=13.4, mean=-0.06023, std=3.049, absmax=13.4 +2025-10-31 16:13:54,371 ERROR: Encountered non-finite generator loss at iter 641; skipping update. +2025-10-31 16:13:54,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:54,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:54,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=11.29, mean=-0.249, std=2.882, absmax=11.98 +2025-10-31 16:13:54,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=8.88, mean=-0.2328, std=2.418, absmax=11.11 +2025-10-31 16:13:54,873 ERROR: Encountered non-finite generator loss at iter 642; skipping update. +2025-10-31 16:13:54,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:54,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:54,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:54,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:54,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=15.56, mean=-0.185, std=3.236, absmax=15.56 +2025-10-31 16:13:54,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=8.845, mean=-0.1929, std=2.599, absmax=10.76 +2025-10-31 16:13:55,376 ERROR: Encountered non-finite generator loss at iter 643; skipping update. +2025-10-31 16:13:55,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,378 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:55,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:55,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.85, mean=-0.02044, std=3.275, absmax=14.85 +2025-10-31 16:13:55,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=13.52, mean=-0.005171, std=2.787, absmax=13.52 +2025-10-31 16:13:55,878 ERROR: Encountered non-finite generator loss at iter 644; skipping update. +2025-10-31 16:13:55,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:55,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:55,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:55,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:55,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.02, max=13.22, mean=-0.2476, std=2.935, absmax=16.02 +2025-10-31 16:13:55,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.695, mean=-0.2385, std=2.483, absmax=10.44 +2025-10-31 16:13:56,380 ERROR: Encountered non-finite generator loss at iter 645; skipping update. +2025-10-31 16:13:56,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:56,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:56,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=16.39, mean=-0.144, std=2.985, absmax=16.39 +2025-10-31 16:13:56,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=11.81, mean=-0.1759, std=2.426, absmax=11.81 +2025-10-31 16:13:56,883 ERROR: Encountered non-finite generator loss at iter 646; skipping update. +2025-10-31 16:13:56,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:56,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:56,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:56,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:56,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.88, mean=-0.1912, std=2.958, absmax=12.88 +2025-10-31 16:13:56,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.11, max=8.444, mean=-0.1443, std=2.463, absmax=9.11 +2025-10-31 16:13:57,386 ERROR: Encountered non-finite generator loss at iter 647; skipping update. +2025-10-31 16:13:57,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:57,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:57,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=16.05, mean=0.006108, std=2.92, absmax=16.05 +2025-10-31 16:13:57,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=12.98, mean=0.002646, std=2.415, absmax=12.98 +2025-10-31 16:13:57,891 ERROR: Encountered non-finite generator loss at iter 648; skipping update. +2025-10-31 16:13:57,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:57,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:57,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:57,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:57,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.28, mean=-0.1748, std=3.024, absmax=13.43 +2025-10-31 16:13:57,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=8.378, mean=-0.1914, std=2.524, absmax=11.19 +2025-10-31 16:13:58,394 ERROR: Encountered non-finite generator loss at iter 649; skipping update. +2025-10-31 16:13:58,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,400 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:58,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:58,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.59, mean=-0.2871, std=2.724, absmax=14.59 +2025-10-31 16:13:58,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.788, max=9.738, mean=-0.2744, std=2.373, absmax=9.788 +2025-10-31 16:13:58,897 ERROR: Encountered non-finite generator loss at iter 650; skipping update. +2025-10-31 16:13:58,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:58,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:58,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:58,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:58,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=10.34, mean=-0.1798, std=2.503, absmax=11.09 +2025-10-31 16:13:58,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.668, max=9.103, mean=-0.2151, std=2.247, absmax=9.103 +2025-10-31 16:13:59,400 ERROR: Encountered non-finite generator loss at iter 651; skipping update. +2025-10-31 16:13:59,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,406 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,406 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:59,407 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:59,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=10.14, mean=-0.1317, std=2.466, absmax=10.82 +2025-10-31 16:13:59,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.619, max=7.931, mean=-0.1714, std=2.106, absmax=8.619 +2025-10-31 16:13:59,903 ERROR: Encountered non-finite generator loss at iter 652; skipping update. +2025-10-31 16:13:59,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,906 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,907 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:13:59,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:13:59,909 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:13:59,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:13:59,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.15, mean=0.1904, std=3.29, absmax=13.15 +2025-10-31 16:13:59,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.29, mean=0.09423, std=2.681, absmax=11.05 +2025-10-31 16:14:00,404 ERROR: Encountered non-finite generator loss at iter 653; skipping update. +2025-10-31 16:14:00,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:00,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:00,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.6, max=12.93, mean=-0.2778, std=3.03, absmax=16.6 +2025-10-31 16:14:00,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.98, max=9.543, mean=-0.2777, std=2.572, absmax=12.98 +2025-10-31 16:14:00,909 ERROR: Encountered non-finite generator loss at iter 654; skipping update. +2025-10-31 16:14:00,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,912 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:00,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:00,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:00,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:00,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.89, mean=-0.08472, std=3.166, absmax=13.73 +2025-10-31 16:14:00,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.35, mean=-0.1511, std=2.716, absmax=10.85 +2025-10-31 16:14:01,412 ERROR: Encountered non-finite generator loss at iter 655; skipping update. +2025-10-31 16:14:01,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,416 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:01,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:01,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.43, mean=-0.3372, std=3.477, absmax=13.61 +2025-10-31 16:14:01,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=10.4, mean=-0.323, std=2.889, absmax=12.02 +2025-10-31 16:14:01,915 ERROR: Encountered non-finite generator loss at iter 656; skipping update. +2025-10-31 16:14:01,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:01,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:01,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:01,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:01,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.44, mean=-0.2194, std=3.357, absmax=13.44 +2025-10-31 16:14:01,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.4, mean=-0.1928, std=2.842, absmax=11.4 +2025-10-31 16:14:02,418 ERROR: Encountered non-finite generator loss at iter 657; skipping update. +2025-10-31 16:14:02,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:02,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:02,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.5, mean=-0.1595, std=2.686, absmax=14.5 +2025-10-31 16:14:02,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.618, max=9.106, mean=-0.1503, std=2.218, absmax=9.618 +2025-10-31 16:14:02,920 ERROR: Encountered non-finite generator loss at iter 658; skipping update. +2025-10-31 16:14:02,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:02,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:02,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:02,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:02,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.44, mean=-0.1407, std=2.603, absmax=12.44 +2025-10-31 16:14:02,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.924, max=8.465, mean=-0.1304, std=2.108, absmax=8.924 +2025-10-31 16:14:03,423 ERROR: Encountered non-finite generator loss at iter 659; skipping update. +2025-10-31 16:14:03,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:03,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:03,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.85, mean=-0.1498, std=2.894, absmax=12.85 +2025-10-31 16:14:03,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.716, max=9.26, mean=-0.1844, std=2.302, absmax=9.26 +2025-10-31 16:14:03,927 ERROR: Encountered non-finite generator loss at iter 660; skipping update. +2025-10-31 16:14:03,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:03,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:03,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:03,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:03,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.9, mean=0.0431, std=3.402, absmax=12.9 +2025-10-31 16:14:03,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=11.21, mean=-0.008929, std=2.939, absmax=11.21 +2025-10-31 16:14:04,430 ERROR: Encountered non-finite generator loss at iter 661; skipping update. +2025-10-31 16:14:04,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:04,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:04,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.33, mean=0.02946, std=3.42, absmax=15.33 +2025-10-31 16:14:04,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.33, max=14.58, mean=-0.01213, std=3.015, absmax=14.58 +2025-10-31 16:14:04,932 ERROR: Encountered non-finite generator loss at iter 662; skipping update. +2025-10-31 16:14:04,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:04,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:04,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:04,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:04,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.05, mean=-0.1954, std=2.816, absmax=15.05 +2025-10-31 16:14:04,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.87, mean=-0.1775, std=2.36, absmax=10.87 +2025-10-31 16:14:05,434 ERROR: Encountered non-finite generator loss at iter 663; skipping update. +2025-10-31 16:14:05,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:05,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:05,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.96, mean=-0.1292, std=2.983, absmax=12.96 +2025-10-31 16:14:05,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=12.2, mean=-0.1614, std=2.554, absmax=12.2 +2025-10-31 16:14:05,935 ERROR: Encountered non-finite generator loss at iter 664; skipping update. +2025-10-31 16:14:05,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:05,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:05,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:05,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:05,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=15.42, mean=-0.1587, std=2.963, absmax=15.42 +2025-10-31 16:14:05,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.856, max=10.58, mean=-0.162, std=2.432, absmax=10.58 +2025-10-31 16:14:06,437 ERROR: Encountered non-finite generator loss at iter 665; skipping update. +2025-10-31 16:14:06,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:06,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:06,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.99, mean=-0.09574, std=3.314, absmax=12.06 +2025-10-31 16:14:06,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=8.947, mean=-0.1035, std=2.961, absmax=9.964 +2025-10-31 16:14:06,938 ERROR: Encountered non-finite generator loss at iter 666; skipping update. +2025-10-31 16:14:06,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:06,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:06,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:06,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:06,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13.07, mean=0.009621, std=3.345, absmax=14.2 +2025-10-31 16:14:06,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.736, max=10.2, mean=-0.01853, std=2.791, absmax=10.2 +2025-10-31 16:14:07,439 ERROR: Encountered non-finite generator loss at iter 667; skipping update. +2025-10-31 16:14:07,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:07,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:07,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.62, mean=-0.306, std=3.22, absmax=13.62 +2025-10-31 16:14:07,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.776, mean=-0.2537, std=2.623, absmax=10.43 +2025-10-31 16:14:07,940 ERROR: Encountered non-finite generator loss at iter 668; skipping update. +2025-10-31 16:14:07,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:07,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:07,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:07,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:07,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.35, mean=-0.1865, std=2.977, absmax=13.61 +2025-10-31 16:14:07,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.466, mean=-0.1911, std=2.447, absmax=10.77 +2025-10-31 16:14:08,441 ERROR: Encountered non-finite generator loss at iter 669; skipping update. +2025-10-31 16:14:08,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:08,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:08,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.6, mean=-0.1735, std=3.604, absmax=14.6 +2025-10-31 16:14:08,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.09, mean=-0.1893, std=2.81, absmax=10.58 +2025-10-31 16:14:08,942 ERROR: Encountered non-finite generator loss at iter 670; skipping update. +2025-10-31 16:14:08,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,946 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,947 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:08,948 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:08,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:08,950 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:08,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=10.39, mean=-0.2149, std=2.909, absmax=13.4 +2025-10-31 16:14:08,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.848, mean=-0.1869, std=2.454, absmax=11.12 +2025-10-31 16:14:09,443 ERROR: Encountered non-finite generator loss at iter 671; skipping update. +2025-10-31 16:14:09,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:09,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:09,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.86, mean=-0.2038, std=3.023, absmax=12.86 +2025-10-31 16:14:09,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.834, max=10.81, mean=-0.1867, std=2.443, absmax=10.81 +2025-10-31 16:14:09,945 ERROR: Encountered non-finite generator loss at iter 672; skipping update. +2025-10-31 16:14:09,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:09,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:09,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:09,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:09,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.36, mean=-0.2451, std=3.486, absmax=15.36 +2025-10-31 16:14:09,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=12.58, mean=-0.2698, std=2.946, absmax=12.58 +2025-10-31 16:14:10,447 ERROR: Encountered non-finite generator loss at iter 673; skipping update. +2025-10-31 16:14:10,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:10,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:10,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.5, mean=0.0082, std=3.27, absmax=13.5 +2025-10-31 16:14:10,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.51, mean=-0.001528, std=2.636, absmax=11.19 +2025-10-31 16:14:10,947 ERROR: Encountered non-finite generator loss at iter 674; skipping update. +2025-10-31 16:14:10,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:10,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:10,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:10,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:10,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.44, mean=-0.2053, std=2.816, absmax=11.92 +2025-10-31 16:14:10,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.048, max=8.486, mean=-0.2469, std=2.337, absmax=9.048 +2025-10-31 16:14:11,449 ERROR: Encountered non-finite generator loss at iter 675; skipping update. +2025-10-31 16:14:11,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,451 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:11,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:11,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=15.06, mean=0.2657, std=3.722, absmax=15.06 +2025-10-31 16:14:11,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=14.66, mean=0.2471, std=3.325, absmax=14.66 +2025-10-31 16:14:11,951 ERROR: Encountered non-finite generator loss at iter 676; skipping update. +2025-10-31 16:14:11,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:11,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:11,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:11,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:11,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.27, mean=-0.1798, std=2.906, absmax=12.56 +2025-10-31 16:14:11,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=8.186, mean=-0.1898, std=2.301, absmax=9.355 +2025-10-31 16:14:12,454 ERROR: Encountered non-finite generator loss at iter 677; skipping update. +2025-10-31 16:14:12,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:12,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:12,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=15.16, mean=-0.009252, std=3.956, absmax=15.16 +2025-10-31 16:14:12,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=14.82, mean=0.02002, std=3.575, absmax=14.82 +2025-10-31 16:14:12,957 ERROR: Encountered non-finite generator loss at iter 678; skipping update. +2025-10-31 16:14:12,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:12,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:12,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:12,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:12,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=11.02, mean=-0.001513, std=2.841, absmax=11.03 +2025-10-31 16:14:12,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.527, mean=-0.05792, std=2.558, absmax=10.04 +2025-10-31 16:14:13,457 ERROR: Encountered non-finite generator loss at iter 679; skipping update. +2025-10-31 16:14:13,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:13,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:13,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=10.63, mean=-0.1438, std=2.367, absmax=11.77 +2025-10-31 16:14:13,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.877, max=7.972, mean=-0.1669, std=1.963, absmax=8.877 +2025-10-31 16:14:13,959 ERROR: Encountered non-finite generator loss at iter 680; skipping update. +2025-10-31 16:14:13,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:13,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:13,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:13,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:13,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.75, mean=-0.1048, std=2.765, absmax=12.75 +2025-10-31 16:14:13,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=12.97, mean=-0.09848, std=2.595, absmax=12.97 +2025-10-31 16:14:14,457 ERROR: Encountered non-finite generator loss at iter 681; skipping update. +2025-10-31 16:14:14,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:14,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:14,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.85, mean=-0.2454, std=3.106, absmax=12.62 +2025-10-31 16:14:14,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=10.18, mean=-0.1435, std=2.806, absmax=10.59 +2025-10-31 16:14:14,959 ERROR: Encountered non-finite generator loss at iter 682; skipping update. +2025-10-31 16:14:14,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:14,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:14,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:14,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:14,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12.51, mean=-0.3206, std=3.557, absmax=14.11 +2025-10-31 16:14:14,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=9.694, mean=-0.3123, std=2.98, absmax=12.44 +2025-10-31 16:14:15,460 ERROR: Encountered non-finite generator loss at iter 683; skipping update. +2025-10-31 16:14:15,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:15,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:15,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=15.61, mean=-0.2569, std=2.573, absmax=15.61 +2025-10-31 16:14:15,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=7.249, mean=-0.2504, std=2.229, absmax=11.33 +2025-10-31 16:14:15,964 ERROR: Encountered non-finite generator loss at iter 684; skipping update. +2025-10-31 16:14:15,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:15,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:15,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:15,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:15,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=12.56, mean=-0.2456, std=3.363, absmax=14.28 +2025-10-31 16:14:15,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=9.609, mean=-0.2531, std=2.898, absmax=11.85 +2025-10-31 16:14:16,467 ERROR: Encountered non-finite generator loss at iter 685; skipping update. +2025-10-31 16:14:16,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:16,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:16,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.89, mean=-0.1064, std=3.406, absmax=13.89 +2025-10-31 16:14:16,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.82, mean=-0.1422, std=2.862, absmax=10.82 +2025-10-31 16:14:16,969 ERROR: Encountered non-finite generator loss at iter 686; skipping update. +2025-10-31 16:14:16,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:16,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:16,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:16,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:16,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=15, mean=-0.04952, std=2.733, absmax=15 +2025-10-31 16:14:16,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.373, max=11.56, mean=-0.09321, std=2.274, absmax=11.56 +2025-10-31 16:14:17,472 ERROR: Encountered non-finite generator loss at iter 687; skipping update. +2025-10-31 16:14:17,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,478 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:17,479 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:17,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.55, mean=-0.1993, std=3.2, absmax=13.78 +2025-10-31 16:14:17,481 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.197, mean=-0.2562, std=2.755, absmax=10.43 +2025-10-31 16:14:17,975 ERROR: Encountered non-finite generator loss at iter 688; skipping update. +2025-10-31 16:14:17,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:17,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:17,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:17,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:17,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.73, mean=-0.1829, std=2.667, absmax=13.04 +2025-10-31 16:14:17,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.62, max=9.396, mean=-0.1794, std=2.198, absmax=9.62 +2025-10-31 16:14:18,478 ERROR: Encountered non-finite generator loss at iter 689; skipping update. +2025-10-31 16:14:18,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,481 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:18,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:18,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.61, mean=-0.1317, std=3.016, absmax=12.81 +2025-10-31 16:14:18,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.511, mean=-0.1357, std=2.614, absmax=10.77 +2025-10-31 16:14:18,980 ERROR: Encountered non-finite generator loss at iter 690; skipping update. +2025-10-31 16:14:18,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,984 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:18,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:18,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:18,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:18,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.53, mean=-0.1535, std=2.836, absmax=12.53 +2025-10-31 16:14:18,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.699, mean=-0.1534, std=2.282, absmax=10.04 +2025-10-31 16:14:19,481 ERROR: Encountered non-finite generator loss at iter 691; skipping update. +2025-10-31 16:14:19,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:19,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:19,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=15.76, mean=0.1788, std=4.034, absmax=15.76 +2025-10-31 16:14:19,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=14.29, mean=0.1935, std=3.682, absmax=14.29 +2025-10-31 16:14:19,982 ERROR: Encountered non-finite generator loss at iter 692; skipping update. +2025-10-31 16:14:19,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:19,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:19,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:19,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:19,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.91, mean=-0.05209, std=2.696, absmax=11.91 +2025-10-31 16:14:19,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.069, max=10.2, mean=-0.08038, std=2.306, absmax=10.2 +2025-10-31 16:14:20,482 ERROR: Encountered non-finite generator loss at iter 693; skipping update. +2025-10-31 16:14:20,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:20,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:20,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=13.66, mean=-0.2074, std=3.546, absmax=15.27 +2025-10-31 16:14:20,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.13, max=10.98, mean=-0.2114, std=2.917, absmax=13.13 +2025-10-31 16:14:20,981 ERROR: Encountered non-finite generator loss at iter 694; skipping update. +2025-10-31 16:14:20,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:20,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:20,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:20,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:20,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.91, mean=-0.1098, std=3.279, absmax=13.91 +2025-10-31 16:14:20,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=9.301, mean=-0.1369, std=2.525, absmax=9.95 +2025-10-31 16:14:21,481 ERROR: Encountered non-finite generator loss at iter 695; skipping update. +2025-10-31 16:14:21,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:21,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:21,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.89, mean=-0.2025, std=2.532, absmax=11.83 +2025-10-31 16:14:21,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.953, max=8.409, mean=-0.2195, std=2.052, absmax=8.953 +2025-10-31 16:14:21,980 ERROR: Encountered non-finite generator loss at iter 696; skipping update. +2025-10-31 16:14:21,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:21,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:21,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:21,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:21,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.03, mean=0.1148, std=3.181, absmax=13.03 +2025-10-31 16:14:21,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.891, max=10.55, mean=0.04534, std=2.681, absmax=10.55 +2025-10-31 16:14:22,481 ERROR: Encountered non-finite generator loss at iter 697; skipping update. +2025-10-31 16:14:22,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:22,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:22,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.52, mean=-0.2261, std=3.133, absmax=12.52 +2025-10-31 16:14:22,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.793, mean=-0.2162, std=2.657, absmax=10.85 +2025-10-31 16:14:22,984 ERROR: Encountered non-finite generator loss at iter 698; skipping update. +2025-10-31 16:14:22,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:22,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:22,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:22,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:22,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.02, mean=-0.113, std=3.039, absmax=14.59 +2025-10-31 16:14:22,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=10.55, mean=-0.1622, std=2.6, absmax=10.74 +2025-10-31 16:14:23,489 ERROR: Encountered non-finite generator loss at iter 699; skipping update. +2025-10-31 16:14:23,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:23,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:23,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=11.22, mean=-0.2668, std=2.909, absmax=13.46 +2025-10-31 16:14:23,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.259, mean=-0.248, std=2.518, absmax=11.06 +2025-10-31 16:14:23,992 ERROR: Encountered non-finite generator loss at iter 700; skipping update. +2025-10-31 16:14:23,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:23,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:23,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:23,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:24,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=18.94, mean=-0.04193, std=3.268, absmax=18.94 +2025-10-31 16:14:24,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=12.67, mean=-0.07312, std=2.841, absmax=12.67 +2025-10-31 16:14:24,002 INFO: [29..][epoch: 0, step: 700, lr:(1.500e-04,)] [eta: 2 days, 13:34:04, time (data): 0.509 (0.000)] +2025-10-31 16:14:24,494 ERROR: Encountered non-finite generator loss at iter 701; skipping update. +2025-10-31 16:14:24,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:24,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:24,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:24,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:24,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:24,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:24,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:24,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:24,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.33, mean=-0.1318, std=3.235, absmax=13.95 +2025-10-31 16:14:24,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=11.17, mean=-0.1167, std=2.641, absmax=11.17 +2025-10-31 16:14:24,995 ERROR: Encountered non-finite generator loss at iter 702; skipping update. +2025-10-31 16:14:24,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:24,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:24,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:24,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:25,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:25,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:25,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:25,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:25,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.23, mean=0.06465, std=3.259, absmax=13.47 +2025-10-31 16:14:25,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.75, max=10.27, mean=0.009214, std=2.627, absmax=10.27 +2025-10-31 16:14:25,497 ERROR: Encountered non-finite generator loss at iter 703; skipping update. +2025-10-31 16:14:25,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:25,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:25,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:25,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:25,500 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:25,501 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:25,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:25,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:25,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.3, mean=-0.3657, std=2.824, absmax=13.3 +2025-10-31 16:14:25,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.545, mean=-0.351, std=2.363, absmax=11.66 +2025-10-31 16:14:25,997 ERROR: Encountered non-finite generator loss at iter 704; skipping update. +2025-10-31 16:14:25,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:26,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:26,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.72, mean=-0.2103, std=3.07, absmax=13.72 +2025-10-31 16:14:26,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.56, mean=-0.1845, std=2.641, absmax=10.56 +2025-10-31 16:14:26,499 ERROR: Encountered non-finite generator loss at iter 705; skipping update. +2025-10-31 16:14:26,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:26,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:26,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:26,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:26,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=14.16, mean=-0.2412, std=2.757, absmax=14.16 +2025-10-31 16:14:26,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.202, max=10.15, mean=-0.2458, std=2.491, absmax=10.15 +2025-10-31 16:14:27,001 ERROR: Encountered non-finite generator loss at iter 706; skipping update. +2025-10-31 16:14:27,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:27,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:27,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=14.1, mean=0.01709, std=2.797, absmax=14.1 +2025-10-31 16:14:27,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.729, max=10.05, mean=0.01553, std=2.268, absmax=10.05 +2025-10-31 16:14:27,502 ERROR: Encountered non-finite generator loss at iter 707; skipping update. +2025-10-31 16:14:27,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:27,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:27,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:27,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:27,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.72, mean=0.09115, std=3.526, absmax=12.72 +2025-10-31 16:14:27,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.846, max=10.73, mean=0.02955, std=3, absmax=10.73 +2025-10-31 16:14:28,004 ERROR: Encountered non-finite generator loss at iter 708; skipping update. +2025-10-31 16:14:28,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:28,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:28,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=12.03, mean=-0.2808, std=2.885, absmax=14.09 +2025-10-31 16:14:28,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.05, mean=-0.1884, std=2.683, absmax=10.24 +2025-10-31 16:14:28,507 ERROR: Encountered non-finite generator loss at iter 709; skipping update. +2025-10-31 16:14:28,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:28,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:28,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:28,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:28,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=10.5, mean=-0.2043, std=2.522, absmax=12.94 +2025-10-31 16:14:28,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=7.887, mean=-0.202, std=2.338, absmax=10.33 +2025-10-31 16:14:29,009 ERROR: Encountered non-finite generator loss at iter 710; skipping update. +2025-10-31 16:14:29,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,012 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:29,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:29,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.24, mean=-0.2694, std=2.725, absmax=12.9 +2025-10-31 16:14:29,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.423, max=8.556, mean=-0.1956, std=2.402, absmax=9.423 +2025-10-31 16:14:29,511 ERROR: Encountered non-finite generator loss at iter 711; skipping update. +2025-10-31 16:14:29,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:29,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:29,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:29,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:29,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.01, mean=-0.2012, std=2.763, absmax=13.2 +2025-10-31 16:14:29,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.616, mean=-0.2057, std=2.248, absmax=11.2 +2025-10-31 16:14:30,011 ERROR: Encountered non-finite generator loss at iter 712; skipping update. +2025-10-31 16:14:30,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:30,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:30,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=13.66, mean=-0.2904, std=2.539, absmax=13.66 +2025-10-31 16:14:30,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.801, max=8.744, mean=-0.2304, std=2.101, absmax=8.801 +2025-10-31 16:14:30,514 ERROR: Encountered non-finite generator loss at iter 713; skipping update. +2025-10-31 16:14:30,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:30,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:30,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:30,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:30,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=14.19, mean=-0.2031, std=3.042, absmax=14.19 +2025-10-31 16:14:30,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.815, max=11.64, mean=-0.1771, std=2.537, absmax=11.64 +2025-10-31 16:14:31,017 ERROR: Encountered non-finite generator loss at iter 714; skipping update. +2025-10-31 16:14:31,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:31,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:31,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.43, mean=0.07309, std=3.06, absmax=13.43 +2025-10-31 16:14:31,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.884, max=10.39, mean=0.01066, std=2.458, absmax=10.39 +2025-10-31 16:14:31,519 ERROR: Encountered non-finite generator loss at iter 715; skipping update. +2025-10-31 16:14:31,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:31,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:31,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:31,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:31,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.18, mean=-0.2876, std=3.214, absmax=14.44 +2025-10-31 16:14:31,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=8.914, mean=-0.2604, std=2.66, absmax=12.27 +2025-10-31 16:14:32,021 ERROR: Encountered non-finite generator loss at iter 716; skipping update. +2025-10-31 16:14:32,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:32,028 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:32,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.67, mean=-0.1615, std=2.868, absmax=14.07 +2025-10-31 16:14:32,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.066, max=8.873, mean=-0.2253, std=2.321, absmax=9.066 +2025-10-31 16:14:32,523 ERROR: Encountered non-finite generator loss at iter 717; skipping update. +2025-10-31 16:14:32,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:32,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:32,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:32,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:32,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.99, mean=-0.19, std=2.709, absmax=12.21 +2025-10-31 16:14:32,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.01, mean=-0.2349, std=2.322, absmax=10.28 +2025-10-31 16:14:33,027 ERROR: Encountered non-finite generator loss at iter 718; skipping update. +2025-10-31 16:14:33,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:33,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:33,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.64, mean=-0.1405, std=2.683, absmax=12.98 +2025-10-31 16:14:33,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=9.238, mean=-0.1293, std=2.308, absmax=9.876 +2025-10-31 16:14:33,529 ERROR: Encountered non-finite generator loss at iter 719; skipping update. +2025-10-31 16:14:33,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:33,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:33,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:33,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:33,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.42, mean=-0.2376, std=3.26, absmax=13.98 +2025-10-31 16:14:33,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=10.48, mean=-0.2193, std=2.813, absmax=11.94 +2025-10-31 16:14:34,033 ERROR: Encountered non-finite generator loss at iter 720; skipping update. +2025-10-31 16:14:34,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:34,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:34,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=10.41, mean=-0.1995, std=2.979, absmax=13.7 +2025-10-31 16:14:34,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=9.587, mean=-0.2018, std=2.452, absmax=11.15 +2025-10-31 16:14:34,538 ERROR: Encountered non-finite generator loss at iter 721; skipping update. +2025-10-31 16:14:34,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:34,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:34,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:34,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:34,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=16.49, mean=-0.117, std=3.163, absmax=16.49 +2025-10-31 16:14:34,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.329, max=9.318, mean=-0.1548, std=2.416, absmax=9.329 +2025-10-31 16:14:35,042 ERROR: Encountered non-finite generator loss at iter 722; skipping update. +2025-10-31 16:14:35,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:35,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:35,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.95, mean=0.04899, std=3.112, absmax=15.95 +2025-10-31 16:14:35,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.13, mean=0.02084, std=2.602, absmax=12.13 +2025-10-31 16:14:35,546 ERROR: Encountered non-finite generator loss at iter 723; skipping update. +2025-10-31 16:14:35,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:35,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:35,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:35,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:35,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=15.33, mean=-0.1139, std=2.694, absmax=15.33 +2025-10-31 16:14:35,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=12.03, mean=-0.1649, std=2.21, absmax=12.03 +2025-10-31 16:14:36,054 ERROR: Encountered non-finite generator loss at iter 724; skipping update. +2025-10-31 16:14:36,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:36,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:36,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.47, mean=-0.1538, std=2.7, absmax=12.45 +2025-10-31 16:14:36,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.099, mean=-0.1441, std=2.373, absmax=10.84 +2025-10-31 16:14:36,558 ERROR: Encountered non-finite generator loss at iter 725; skipping update. +2025-10-31 16:14:36,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:36,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:36,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:36,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:36,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=13.22, mean=0.01479, std=3.398, absmax=14.71 +2025-10-31 16:14:36,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.61, mean=0.005626, std=2.816, absmax=10.61 +2025-10-31 16:14:37,062 ERROR: Encountered non-finite generator loss at iter 726; skipping update. +2025-10-31 16:14:37,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:37,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:37,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.17, mean=-0.3671, std=3.31, absmax=13.21 +2025-10-31 16:14:37,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.1, mean=-0.3612, std=2.855, absmax=10.81 +2025-10-31 16:14:37,565 ERROR: Encountered non-finite generator loss at iter 727; skipping update. +2025-10-31 16:14:37,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:37,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:37,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:37,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:37,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.04, mean=-0.1992, std=2.952, absmax=14.04 +2025-10-31 16:14:37,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=8.618, mean=-0.2083, std=2.287, absmax=10.11 +2025-10-31 16:14:38,070 ERROR: Encountered non-finite generator loss at iter 728; skipping update. +2025-10-31 16:14:38,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:38,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:38,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.23, mean=-0.07558, std=2.912, absmax=12.23 +2025-10-31 16:14:38,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.62, mean=-0.096, std=2.63, absmax=10.62 +2025-10-31 16:14:38,575 ERROR: Encountered non-finite generator loss at iter 729; skipping update. +2025-10-31 16:14:38,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:38,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:38,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:38,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:38,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.15, mean=-0.01012, std=3.291, absmax=14.15 +2025-10-31 16:14:38,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=11.38, mean=-0.03616, std=2.748, absmax=11.38 +2025-10-31 16:14:39,079 ERROR: Encountered non-finite generator loss at iter 730; skipping update. +2025-10-31 16:14:39,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:39,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:39,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:39,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:39,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:39,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:39,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:39,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:39,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=11.79, mean=-0.1143, std=2.967, absmax=11.9 +2025-10-31 16:14:39,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.75, mean=-0.07881, std=2.713, absmax=10.75 +2025-10-31 16:14:40,033 ERROR: Encountered non-finite generator loss at iter 731; skipping update. +2025-10-31 16:14:40,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:40,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:40,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:40,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:40,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:40,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:40,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:40,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:40,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.6, mean=-0.1718, std=2.599, absmax=12.6 +2025-10-31 16:14:40,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.988, max=9.32, mean=-0.2088, std=2.154, absmax=9.988 +2025-10-31 16:14:41,008 ERROR: Encountered non-finite generator loss at iter 732; skipping update. +2025-10-31 16:14:41,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:41,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:41,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.18, mean=-0.08823, std=2.966, absmax=13.21 +2025-10-31 16:14:41,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=9.182, mean=-0.07234, std=2.461, absmax=11.14 +2025-10-31 16:14:41,515 ERROR: Encountered non-finite generator loss at iter 733; skipping update. +2025-10-31 16:14:41,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:41,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:41,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:41,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:41,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=13.32, mean=-0.04774, std=3.047, absmax=13.32 +2025-10-31 16:14:41,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.032, max=11.03, mean=-0.07622, std=2.636, absmax=11.03 +2025-10-31 16:14:42,018 ERROR: Encountered non-finite generator loss at iter 734; skipping update. +2025-10-31 16:14:42,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:42,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:42,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.38, mean=-0.09872, std=3.329, absmax=14.38 +2025-10-31 16:14:42,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12, mean=-0.1572, std=2.884, absmax=12 +2025-10-31 16:14:42,521 ERROR: Encountered non-finite generator loss at iter 735; skipping update. +2025-10-31 16:14:42,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:42,524 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:42,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:42,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:42,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.1, mean=-0.06819, std=3.089, absmax=13.17 +2025-10-31 16:14:42,528 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.146, mean=-0.1187, std=2.489, absmax=10.05 +2025-10-31 16:14:43,021 ERROR: Encountered non-finite generator loss at iter 736; skipping update. +2025-10-31 16:14:43,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,024 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,025 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,026 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:43,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:43,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.09, mean=-0.2276, std=3.042, absmax=12.9 +2025-10-31 16:14:43,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.696, max=9.877, mean=-0.2402, std=2.578, absmax=9.877 +2025-10-31 16:14:43,525 ERROR: Encountered non-finite generator loss at iter 737; skipping update. +2025-10-31 16:14:43,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:43,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:43,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:43,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:43,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.37, mean=-0.1898, std=3.12, absmax=11.42 +2025-10-31 16:14:43,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.052, mean=-0.2436, std=2.784, absmax=10.29 +2025-10-31 16:14:44,026 ERROR: Encountered non-finite generator loss at iter 738; skipping update. +2025-10-31 16:14:44,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:44,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:44,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=11.4, mean=-0.149, std=2.676, absmax=11.4 +2025-10-31 16:14:44,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.714, max=10.39, mean=-0.09194, std=2.284, absmax=10.39 +2025-10-31 16:14:44,529 ERROR: Encountered non-finite generator loss at iter 739; skipping update. +2025-10-31 16:14:44,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:44,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:44,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:44,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:44,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.79, mean=-0.1409, std=3.139, absmax=13.79 +2025-10-31 16:14:44,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.598, max=10.72, mean=-0.1577, std=2.558, absmax=10.72 +2025-10-31 16:14:45,033 ERROR: Encountered non-finite generator loss at iter 740; skipping update. +2025-10-31 16:14:45,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:45,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:45,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=11.64, mean=-0.3079, std=3.649, absmax=14.14 +2025-10-31 16:14:45,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.03, max=9.921, mean=-0.3314, std=3.23, absmax=12.03 +2025-10-31 16:14:45,537 ERROR: Encountered non-finite generator loss at iter 741; skipping update. +2025-10-31 16:14:45,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:45,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:45,544 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:45,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:45,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.96, mean=0.03495, std=2.795, absmax=12.96 +2025-10-31 16:14:45,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.521, max=8.604, mean=0.02256, std=2.356, absmax=8.604 +2025-10-31 16:14:46,041 ERROR: Encountered non-finite generator loss at iter 742; skipping update. +2025-10-31 16:14:46,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:46,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:46,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.44, mean=-0.2805, std=3.305, absmax=15.44 +2025-10-31 16:14:46,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=10.83, mean=-0.2518, std=2.64, absmax=11.94 +2025-10-31 16:14:46,542 ERROR: Encountered non-finite generator loss at iter 743; skipping update. +2025-10-31 16:14:46,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:46,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:46,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:46,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:46,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.53, mean=0.2052, std=3.554, absmax=14.53 +2025-10-31 16:14:46,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=14.3, mean=0.235, std=3.262, absmax=14.3 +2025-10-31 16:14:47,046 ERROR: Encountered non-finite generator loss at iter 744; skipping update. +2025-10-31 16:14:47,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:47,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:47,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=14.13, mean=-0.1233, std=3.854, absmax=15.6 +2025-10-31 16:14:47,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=12.65, mean=-0.1668, std=3.389, absmax=12.71 +2025-10-31 16:14:47,548 ERROR: Encountered non-finite generator loss at iter 745; skipping update. +2025-10-31 16:14:47,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:47,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:47,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:47,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:47,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.58, mean=-0.054, std=3.133, absmax=14.58 +2025-10-31 16:14:47,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.879, max=10.22, mean=-0.06857, std=2.678, absmax=10.22 +2025-10-31 16:14:48,048 ERROR: Encountered non-finite generator loss at iter 746; skipping update. +2025-10-31 16:14:48,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:48,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:48,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.81, mean=-0.2516, std=3.139, absmax=12.81 +2025-10-31 16:14:48,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=10.42, mean=-0.2592, std=2.835, absmax=11.1 +2025-10-31 16:14:48,550 ERROR: Encountered non-finite generator loss at iter 747; skipping update. +2025-10-31 16:14:48,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:48,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:48,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:48,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:48,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=15.19, mean=-0.2384, std=3.52, absmax=15.19 +2025-10-31 16:14:48,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=10.45, mean=-0.2089, std=2.786, absmax=11.94 +2025-10-31 16:14:49,051 ERROR: Encountered non-finite generator loss at iter 748; skipping update. +2025-10-31 16:14:49,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:49,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:49,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.08, mean=-0.09994, std=3.213, absmax=13.08 +2025-10-31 16:14:49,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.774, mean=-0.1486, std=2.658, absmax=10.26 +2025-10-31 16:14:49,553 ERROR: Encountered non-finite generator loss at iter 749; skipping update. +2025-10-31 16:14:49,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:49,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:49,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:49,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:49,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.35, mean=-0.03166, std=2.954, absmax=13.11 +2025-10-31 16:14:49,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.35, mean=-0.03073, std=2.55, absmax=11.83 +2025-10-31 16:14:50,053 ERROR: Encountered non-finite generator loss at iter 750; skipping update. +2025-10-31 16:14:50,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:50,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:50,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.99, mean=-0.1771, std=3.182, absmax=13.99 +2025-10-31 16:14:50,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=9.364, mean=-0.2496, std=2.658, absmax=10.5 +2025-10-31 16:14:50,556 ERROR: Encountered non-finite generator loss at iter 751; skipping update. +2025-10-31 16:14:50,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:50,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:50,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:50,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:50,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.43, max=13.98, mean=0.00673, std=4.115, absmax=15.43 +2025-10-31 16:14:50,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.01, max=13.63, mean=-0.007779, std=3.656, absmax=14.01 +2025-10-31 16:14:51,058 ERROR: Encountered non-finite generator loss at iter 752; skipping update. +2025-10-31 16:14:51,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:51,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:51,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=9.999, mean=-0.36, std=2.627, absmax=11.48 +2025-10-31 16:14:51,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.071, mean=-0.362, std=2.45, absmax=11.3 +2025-10-31 16:14:51,560 ERROR: Encountered non-finite generator loss at iter 753; skipping update. +2025-10-31 16:14:51,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:51,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:51,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:51,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:51,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=15.75, mean=0.1297, std=3.333, absmax=15.75 +2025-10-31 16:14:51,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=14.21, mean=0.0439, std=2.822, absmax=14.21 +2025-10-31 16:14:52,062 ERROR: Encountered non-finite generator loss at iter 754; skipping update. +2025-10-31 16:14:52,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:52,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:52,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.87, mean=-0.02948, std=2.973, absmax=13.87 +2025-10-31 16:14:52,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.84, max=11.42, mean=-0.09405, std=2.447, absmax=11.42 +2025-10-31 16:14:52,564 ERROR: Encountered non-finite generator loss at iter 755; skipping update. +2025-10-31 16:14:52,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:52,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:52,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:52,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:52,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=12.48, mean=-0.2068, std=3.031, absmax=14.65 +2025-10-31 16:14:52,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=8.39, mean=-0.203, std=2.36, absmax=10.89 +2025-10-31 16:14:53,068 ERROR: Encountered non-finite generator loss at iter 756; skipping update. +2025-10-31 16:14:53,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,071 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:53,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:53,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=10.58, mean=-0.1069, std=2.785, absmax=12.95 +2025-10-31 16:14:53,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=8.352, mean=-0.08412, std=2.402, absmax=9.855 +2025-10-31 16:14:53,572 ERROR: Encountered non-finite generator loss at iter 757; skipping update. +2025-10-31 16:14:53,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,575 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:53,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:53,578 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:53,579 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:53,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.78, mean=-0.1043, std=3.105, absmax=13.78 +2025-10-31 16:14:53,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=11.49, mean=-0.1218, std=2.538, absmax=11.49 +2025-10-31 16:14:54,074 ERROR: Encountered non-finite generator loss at iter 758; skipping update. +2025-10-31 16:14:54,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:54,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:54,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12.24, mean=-0.2386, std=2.741, absmax=14.51 +2025-10-31 16:14:54,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.08, max=8.999, mean=-0.2118, std=2.181, absmax=9.08 +2025-10-31 16:14:54,578 ERROR: Encountered non-finite generator loss at iter 759; skipping update. +2025-10-31 16:14:54,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:54,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:54,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:54,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:54,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.72, mean=-0.1139, std=3.488, absmax=14.72 +2025-10-31 16:14:54,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=11.93, mean=-0.172, std=2.898, absmax=11.98 +2025-10-31 16:14:55,079 ERROR: Encountered non-finite generator loss at iter 760; skipping update. +2025-10-31 16:14:55,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:55,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:55,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=13.78, mean=-0.1935, std=3.482, absmax=13.78 +2025-10-31 16:14:55,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=11.52, mean=-0.1914, std=2.87, absmax=11.52 +2025-10-31 16:14:55,581 ERROR: Encountered non-finite generator loss at iter 761; skipping update. +2025-10-31 16:14:55,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:55,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:55,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:55,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:55,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.46, mean=0.08121, std=3.001, absmax=13.46 +2025-10-31 16:14:55,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.669, max=9.827, mean=0.003898, std=2.421, absmax=9.827 +2025-10-31 16:14:56,084 ERROR: Encountered non-finite generator loss at iter 762; skipping update. +2025-10-31 16:14:56,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:56,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:56,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.3, mean=-0.1259, std=2.824, absmax=12.43 +2025-10-31 16:14:56,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.11, mean=-0.1392, std=2.356, absmax=10.65 +2025-10-31 16:14:56,585 ERROR: Encountered non-finite generator loss at iter 763; skipping update. +2025-10-31 16:14:56,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:56,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:56,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:56,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:56,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=14.63, mean=-0.06962, std=2.948, absmax=15.65 +2025-10-31 16:14:56,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.79, mean=-0.1139, std=2.6, absmax=11.79 +2025-10-31 16:14:57,088 ERROR: Encountered non-finite generator loss at iter 764; skipping update. +2025-10-31 16:14:57,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:57,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:57,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=10.68, mean=-0.1782, std=2.482, absmax=11.58 +2025-10-31 16:14:57,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.723, max=7.731, mean=-0.1804, std=2.15, absmax=8.723 +2025-10-31 16:14:57,590 ERROR: Encountered non-finite generator loss at iter 765; skipping update. +2025-10-31 16:14:57,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:57,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:57,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:57,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:57,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.87, mean=-0.2113, std=2.975, absmax=13.87 +2025-10-31 16:14:57,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.568, mean=-0.1974, std=2.377, absmax=10.07 +2025-10-31 16:14:58,091 ERROR: Encountered non-finite generator loss at iter 766; skipping update. +2025-10-31 16:14:58,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:58,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:58,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.19, mean=-0.1118, std=3.423, absmax=13.49 +2025-10-31 16:14:58,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.37, mean=-0.0649, std=2.903, absmax=11.52 +2025-10-31 16:14:58,589 ERROR: Encountered non-finite generator loss at iter 767; skipping update. +2025-10-31 16:14:58,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:58,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:58,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:58,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:58,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=14.98, mean=-0.3713, std=3.202, absmax=14.98 +2025-10-31 16:14:58,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.69, mean=-0.2972, std=2.75, absmax=11.69 +2025-10-31 16:14:59,091 ERROR: Encountered non-finite generator loss at iter 768; skipping update. +2025-10-31 16:14:59,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:59,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:59,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=10.9, mean=-0.1815, std=2.77, absmax=12.21 +2025-10-31 16:14:59,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.28, mean=-0.1412, std=2.373, absmax=10.28 +2025-10-31 16:14:59,595 ERROR: Encountered non-finite generator loss at iter 769; skipping update. +2025-10-31 16:14:59,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,598 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:14:59,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:14:59,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:14:59,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:14:59,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.72, mean=-0.3161, std=3.014, absmax=12.68 +2025-10-31 16:14:59,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.624, mean=-0.2431, std=2.573, absmax=10.86 +2025-10-31 16:15:00,100 ERROR: Encountered non-finite generator loss at iter 770; skipping update. +2025-10-31 16:15:00,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:00,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:00,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=9.007, mean=-0.3117, std=2.793, absmax=13.01 +2025-10-31 16:15:00,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.512, mean=-0.325, std=2.43, absmax=10.52 +2025-10-31 16:15:00,602 ERROR: Encountered non-finite generator loss at iter 771; skipping update. +2025-10-31 16:15:00,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:00,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:00,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:00,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:00,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.82, mean=-0.02312, std=3.078, absmax=14.82 +2025-10-31 16:15:00,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.259, max=13.36, mean=-0.0436, std=2.628, absmax=13.36 +2025-10-31 16:15:01,106 ERROR: Encountered non-finite generator loss at iter 772; skipping update. +2025-10-31 16:15:01,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:01,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:01,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.56, mean=0.08066, std=3.464, absmax=13.56 +2025-10-31 16:15:01,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.99, mean=0.04983, std=2.795, absmax=10.99 +2025-10-31 16:15:01,609 ERROR: Encountered non-finite generator loss at iter 773; skipping update. +2025-10-31 16:15:01,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:01,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:01,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:01,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:01,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.94, mean=-0.09229, std=3.035, absmax=13.01 +2025-10-31 16:15:01,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.333, mean=-0.0854, std=2.503, absmax=10.08 +2025-10-31 16:15:02,112 ERROR: Encountered non-finite generator loss at iter 774; skipping update. +2025-10-31 16:15:02,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,118 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:02,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:02,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.62, mean=-0.03228, std=3.003, absmax=13.62 +2025-10-31 16:15:02,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.052, max=10.34, mean=-0.06284, std=2.522, absmax=10.34 +2025-10-31 16:15:02,616 ERROR: Encountered non-finite generator loss at iter 775; skipping update. +2025-10-31 16:15:02,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:02,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:02,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:02,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:02,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.63, mean=-0.05397, std=2.963, absmax=14.1 +2025-10-31 16:15:02,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=11.11, mean=-0.051, std=2.507, absmax=11.11 +2025-10-31 16:15:03,118 ERROR: Encountered non-finite generator loss at iter 776; skipping update. +2025-10-31 16:15:03,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:03,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:03,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=15.84, mean=-0.2746, std=3.697, absmax=15.84 +2025-10-31 16:15:03,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=11.98, mean=-0.2389, std=3.053, absmax=12.77 +2025-10-31 16:15:03,619 ERROR: Encountered non-finite generator loss at iter 777; skipping update. +2025-10-31 16:15:03,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:03,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:03,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:03,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:03,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=15.25, mean=0.1345, std=3.375, absmax=15.25 +2025-10-31 16:15:03,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=14.66, mean=0.1015, std=2.973, absmax=14.66 +2025-10-31 16:15:04,122 ERROR: Encountered non-finite generator loss at iter 778; skipping update. +2025-10-31 16:15:04,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:04,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:04,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.72, mean=-0.2763, std=2.81, absmax=12.72 +2025-10-31 16:15:04,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.099, max=9.978, mean=-0.2464, std=2.401, absmax=9.978 +2025-10-31 16:15:04,625 ERROR: Encountered non-finite generator loss at iter 779; skipping update. +2025-10-31 16:15:04,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:04,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:04,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:04,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:04,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=12, mean=-0.08378, std=3.314, absmax=14.77 +2025-10-31 16:15:04,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.57, mean=-0.06316, std=2.725, absmax=10.7 +2025-10-31 16:15:05,128 ERROR: Encountered non-finite generator loss at iter 780; skipping update. +2025-10-31 16:15:05,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:05,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:05,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=12.48, mean=-0.2491, std=2.395, absmax=13.39 +2025-10-31 16:15:05,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=9.584, mean=-0.2428, std=2.081, absmax=10.51 +2025-10-31 16:15:05,630 ERROR: Encountered non-finite generator loss at iter 781; skipping update. +2025-10-31 16:15:05,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:05,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:05,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:05,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:05,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.95, mean=-0.09291, std=3.377, absmax=14.95 +2025-10-31 16:15:05,640 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.28, mean=-0.1509, std=2.887, absmax=11.28 +2025-10-31 16:15:06,134 ERROR: Encountered non-finite generator loss at iter 782; skipping update. +2025-10-31 16:15:06,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:06,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:06,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=11.24, mean=-0.1908, std=2.543, absmax=11.24 +2025-10-31 16:15:06,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.981, max=8.899, mean=-0.1976, std=2.26, absmax=9.981 +2025-10-31 16:15:06,636 ERROR: Encountered non-finite generator loss at iter 783; skipping update. +2025-10-31 16:15:06,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:06,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:06,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:06,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:06,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.99, mean=0.1872, std=3.412, absmax=13.99 +2025-10-31 16:15:06,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=11.14, mean=0.1413, std=2.848, absmax=11.14 +2025-10-31 16:15:07,138 ERROR: Encountered non-finite generator loss at iter 784; skipping update. +2025-10-31 16:15:07,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:07,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:07,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.32, mean=-0.1751, std=2.583, absmax=13.1 +2025-10-31 16:15:07,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.62, mean=-0.1946, std=2.16, absmax=11.07 +2025-10-31 16:15:07,642 ERROR: Encountered non-finite generator loss at iter 785; skipping update. +2025-10-31 16:15:07,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:07,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:07,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:07,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:07,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.38, mean=-0.1943, std=2.884, absmax=13.56 +2025-10-31 16:15:07,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=8.223, mean=-0.2132, std=2.316, absmax=11.06 +2025-10-31 16:15:08,145 ERROR: Encountered non-finite generator loss at iter 786; skipping update. +2025-10-31 16:15:08,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:08,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:08,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.76, mean=-0.1739, std=2.606, absmax=13.76 +2025-10-31 16:15:08,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=10.35, mean=-0.1629, std=2.52, absmax=12.23 +2025-10-31 16:15:08,649 ERROR: Encountered non-finite generator loss at iter 787; skipping update. +2025-10-31 16:15:08,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:08,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:08,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:08,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:08,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=16.82, mean=0.1051, std=3.718, absmax=16.82 +2025-10-31 16:15:08,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=11.52, mean=0.04757, std=3.084, absmax=12.13 +2025-10-31 16:15:09,153 ERROR: Encountered non-finite generator loss at iter 788; skipping update. +2025-10-31 16:15:09,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:09,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:09,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.44, mean=-0.2258, std=2.84, absmax=14.44 +2025-10-31 16:15:09,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.734, mean=-0.2319, std=2.326, absmax=10.48 +2025-10-31 16:15:09,657 ERROR: Encountered non-finite generator loss at iter 789; skipping update. +2025-10-31 16:15:09,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:09,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:09,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:09,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:09,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=10.67, mean=-0.2061, std=2.767, absmax=11.78 +2025-10-31 16:15:09,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.65, max=8.444, mean=-0.1893, std=2.345, absmax=9.65 +2025-10-31 16:15:10,160 ERROR: Encountered non-finite generator loss at iter 790; skipping update. +2025-10-31 16:15:10,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:10,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:10,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.07, mean=-0.1771, std=3.47, absmax=14.07 +2025-10-31 16:15:10,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=10.52, mean=-0.2213, std=2.79, absmax=10.52 +2025-10-31 16:15:10,663 ERROR: Encountered non-finite generator loss at iter 791; skipping update. +2025-10-31 16:15:10,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:10,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:10,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:10,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:10,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.19, mean=0.1179, std=3.462, absmax=14.47 +2025-10-31 16:15:10,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=11.92, mean=0.05598, std=2.76, absmax=11.92 +2025-10-31 16:15:11,165 ERROR: Encountered non-finite generator loss at iter 792; skipping update. +2025-10-31 16:15:11,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:11,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:11,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=13.93, mean=-0.01807, std=2.831, absmax=13.93 +2025-10-31 16:15:11,176 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=12.32, mean=-0.03221, std=2.389, absmax=12.32 +2025-10-31 16:15:11,670 ERROR: Encountered non-finite generator loss at iter 793; skipping update. +2025-10-31 16:15:11,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,675 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:11,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:11,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:11,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:11,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12, mean=-0.08838, std=2.599, absmax=12 +2025-10-31 16:15:11,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.136, max=10, mean=-0.09845, std=2.233, absmax=10 +2025-10-31 16:15:12,175 ERROR: Encountered non-finite generator loss at iter 794; skipping update. +2025-10-31 16:15:12,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:12,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:12,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.93, mean=-0.0315, std=3.322, absmax=14.93 +2025-10-31 16:15:12,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=11.69, mean=-0.08154, std=2.806, absmax=11.69 +2025-10-31 16:15:12,677 ERROR: Encountered non-finite generator loss at iter 795; skipping update. +2025-10-31 16:15:12,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:12,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:12,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:12,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:12,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.03, mean=0.03585, std=3.674, absmax=14.73 +2025-10-31 16:15:12,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.55, max=11.92, mean=-0.001331, std=3.176, absmax=13.55 +2025-10-31 16:15:13,181 ERROR: Encountered non-finite generator loss at iter 796; skipping update. +2025-10-31 16:15:13,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:13,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:13,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=14.63, mean=-0.1418, std=2.822, absmax=14.63 +2025-10-31 16:15:13,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.33, max=10.94, mean=-0.1023, std=2.419, absmax=10.94 +2025-10-31 16:15:13,688 ERROR: Encountered non-finite generator loss at iter 797; skipping update. +2025-10-31 16:15:13,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:13,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:13,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:13,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:13,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.97, mean=0.05298, std=3.719, absmax=14.97 +2025-10-31 16:15:13,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=13.37, mean=0.03658, std=3.02, absmax=13.37 +2025-10-31 16:15:14,193 ERROR: Encountered non-finite generator loss at iter 798; skipping update. +2025-10-31 16:15:14,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:14,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:14,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=16.16, mean=-0.1781, std=3.162, absmax=16.16 +2025-10-31 16:15:14,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.085, max=11.82, mean=-0.1719, std=2.641, absmax=11.82 +2025-10-31 16:15:14,695 ERROR: Encountered non-finite generator loss at iter 799; skipping update. +2025-10-31 16:15:14,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:14,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:14,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:14,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:14,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.69, mean=-0.2326, std=2.776, absmax=12.69 +2025-10-31 16:15:14,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.198, max=8.879, mean=-0.2257, std=2.282, absmax=9.198 +2025-10-31 16:15:15,200 ERROR: Encountered non-finite generator loss at iter 800; skipping update. +2025-10-31 16:15:15,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:15,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:15,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.05, mean=-0.2521, std=2.641, absmax=13.05 +2025-10-31 16:15:15,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.25, mean=-0.2488, std=2.409, absmax=10.25 +2025-10-31 16:15:15,211 INFO: [29..][epoch: 0, step: 800, lr:(1.500e-04,)] [eta: 2 days, 10:17:07, time (data): 0.511 (0.005)] +2025-10-31 16:15:15,705 ERROR: Encountered non-finite generator loss at iter 801; skipping update. +2025-10-31 16:15:15,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:15,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:15,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:15,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:15,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.72, mean=-0.02111, std=3.074, absmax=12.72 +2025-10-31 16:15:15,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.5, mean=-0.02798, std=2.889, absmax=11.5 +2025-10-31 16:15:16,210 ERROR: Encountered non-finite generator loss at iter 802; skipping update. +2025-10-31 16:15:16,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,213 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,214 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:16,218 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:16,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.52, mean=0.04078, std=3.395, absmax=12.52 +2025-10-31 16:15:16,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.229, max=9.759, mean=-0.02673, std=2.622, absmax=9.759 +2025-10-31 16:15:16,715 ERROR: Encountered non-finite generator loss at iter 803; skipping update. +2025-10-31 16:15:16,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,718 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:16,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:16,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:16,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:16,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.74, mean=-0.1413, std=2.653, absmax=13.74 +2025-10-31 16:15:16,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.266, max=8.423, mean=-0.128, std=2.22, absmax=8.423 +2025-10-31 16:15:17,219 ERROR: Encountered non-finite generator loss at iter 804; skipping update. +2025-10-31 16:15:17,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,221 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,222 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,223 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,224 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,225 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:17,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:17,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=16.83, mean=-0.2743, std=2.988, absmax=16.83 +2025-10-31 16:15:17,229 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.984, mean=-0.2658, std=2.535, absmax=10.14 +2025-10-31 16:15:17,722 ERROR: Encountered non-finite generator loss at iter 805; skipping update. +2025-10-31 16:15:17,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:17,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:17,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:17,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:17,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=17.54, mean=0.01199, std=3.386, absmax=17.54 +2025-10-31 16:15:17,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.986, mean=-0.02568, std=2.778, absmax=10.17 +2025-10-31 16:15:18,226 ERROR: Encountered non-finite generator loss at iter 806; skipping update. +2025-10-31 16:15:18,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:18,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:18,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.13, max=9.674, mean=-0.1762, std=2.346, absmax=10.13 +2025-10-31 16:15:18,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.611, max=9.693, mean=-0.139, std=2.196, absmax=9.693 +2025-10-31 16:15:18,729 ERROR: Encountered non-finite generator loss at iter 807; skipping update. +2025-10-31 16:15:18,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:18,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:18,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:18,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:18,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=14.08, mean=-0.2758, std=3.137, absmax=15.23 +2025-10-31 16:15:18,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=12.79, mean=-0.2733, std=2.629, absmax=12.79 +2025-10-31 16:15:19,232 ERROR: Encountered non-finite generator loss at iter 808; skipping update. +2025-10-31 16:15:19,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:19,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:19,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.69, mean=-0.3126, std=3.037, absmax=12.44 +2025-10-31 16:15:19,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.16, mean=-0.2895, std=2.627, absmax=10.18 +2025-10-31 16:15:19,735 ERROR: Encountered non-finite generator loss at iter 809; skipping update. +2025-10-31 16:15:19,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:19,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:19,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:19,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:19,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.62, mean=0.09305, std=3.93, absmax=14.62 +2025-10-31 16:15:19,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=13.59, mean=0.0377, std=3.404, absmax=13.59 +2025-10-31 16:15:20,237 ERROR: Encountered non-finite generator loss at iter 810; skipping update. +2025-10-31 16:15:20,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:20,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:20,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.42, mean=0.05578, std=3.323, absmax=13.42 +2025-10-31 16:15:20,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.988, mean=0.01, std=2.627, absmax=10.31 +2025-10-31 16:15:20,740 ERROR: Encountered non-finite generator loss at iter 811; skipping update. +2025-10-31 16:15:20,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,742 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:20,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:20,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:20,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:20,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.91, mean=-0.1354, std=3.128, absmax=13.91 +2025-10-31 16:15:20,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.73, mean=-0.1522, std=2.557, absmax=10.73 +2025-10-31 16:15:21,240 ERROR: Encountered non-finite generator loss at iter 812; skipping update. +2025-10-31 16:15:21,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:21,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:21,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.81, mean=-0.1848, std=2.996, absmax=13.81 +2025-10-31 16:15:21,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.58, mean=-0.2233, std=2.56, absmax=10.61 +2025-10-31 16:15:21,743 ERROR: Encountered non-finite generator loss at iter 813; skipping update. +2025-10-31 16:15:21,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:21,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:21,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:21,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:21,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=10.51, mean=-0.1711, std=2.298, absmax=10.51 +2025-10-31 16:15:21,753 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.651, max=7.532, mean=-0.1676, std=1.967, absmax=7.651 +2025-10-31 16:15:22,245 ERROR: Encountered non-finite generator loss at iter 814; skipping update. +2025-10-31 16:15:22,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:22,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:22,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.08, mean=-0.14, std=2.826, absmax=14.08 +2025-10-31 16:15:22,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.063, max=8.706, mean=-0.1525, std=2.339, absmax=9.063 +2025-10-31 16:15:22,748 ERROR: Encountered non-finite generator loss at iter 815; skipping update. +2025-10-31 16:15:22,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:22,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:22,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:22,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:22,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.27, mean=-0.1081, std=2.974, absmax=13.36 +2025-10-31 16:15:22,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.966, mean=-0.1174, std=2.447, absmax=10.45 +2025-10-31 16:15:23,250 ERROR: Encountered non-finite generator loss at iter 816; skipping update. +2025-10-31 16:15:23,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:23,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:23,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.98, mean=-0.1231, std=3.233, absmax=13.98 +2025-10-31 16:15:23,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.686, max=12.25, mean=-0.09958, std=2.795, absmax=12.25 +2025-10-31 16:15:23,752 ERROR: Encountered non-finite generator loss at iter 817; skipping update. +2025-10-31 16:15:23,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:23,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:23,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:23,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:23,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.88, mean=-0.2753, std=3.274, absmax=13.89 +2025-10-31 16:15:23,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.27, mean=-0.2855, std=2.751, absmax=11.51 +2025-10-31 16:15:24,254 ERROR: Encountered non-finite generator loss at iter 818; skipping update. +2025-10-31 16:15:24,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:24,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:24,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.88, mean=-0.3075, std=3.327, absmax=13.88 +2025-10-31 16:15:24,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=12.79, mean=-0.2998, std=2.745, absmax=12.79 +2025-10-31 16:15:24,756 ERROR: Encountered non-finite generator loss at iter 819; skipping update. +2025-10-31 16:15:24,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:24,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:24,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:24,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:24,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=14.17, mean=-0.07413, std=3.139, absmax=14.99 +2025-10-31 16:15:24,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=10.01, mean=-0.1017, std=2.596, absmax=12.51 +2025-10-31 16:15:25,258 ERROR: Encountered non-finite generator loss at iter 820; skipping update. +2025-10-31 16:15:25,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:25,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:25,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.07, mean=-0.1898, std=2.996, absmax=12.17 +2025-10-31 16:15:25,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=9.134, mean=-0.1646, std=2.514, absmax=9.344 +2025-10-31 16:15:25,757 ERROR: Encountered non-finite generator loss at iter 821; skipping update. +2025-10-31 16:15:25,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:25,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:25,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:25,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:25,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.83, mean=-0.3008, std=3.192, absmax=14.83 +2025-10-31 16:15:25,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=14.17, mean=-0.2557, std=2.84, absmax=14.17 +2025-10-31 16:15:26,257 ERROR: Encountered non-finite generator loss at iter 822; skipping update. +2025-10-31 16:15:26,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:26,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:26,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.81, mean=-0.08638, std=2.899, absmax=12.81 +2025-10-31 16:15:26,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.504, max=10.05, mean=-0.08381, std=2.448, absmax=10.05 +2025-10-31 16:15:26,758 ERROR: Encountered non-finite generator loss at iter 823; skipping update. +2025-10-31 16:15:26,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:26,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:26,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:26,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:26,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.56, mean=0.219, std=3.461, absmax=14.56 +2025-10-31 16:15:26,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=12.49, mean=0.1832, std=2.98, absmax=12.49 +2025-10-31 16:15:27,279 ERROR: Encountered non-finite generator loss at iter 824; skipping update. +2025-10-31 16:15:27,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:27,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:27,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=11.65, mean=-0.306, std=2.947, absmax=13.8 +2025-10-31 16:15:27,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.216, mean=-0.2656, std=2.606, absmax=10.38 +2025-10-31 16:15:27,786 ERROR: Encountered non-finite generator loss at iter 825; skipping update. +2025-10-31 16:15:27,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:27,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:27,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:27,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:27,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.05, mean=-0.06502, std=2.754, absmax=13.05 +2025-10-31 16:15:27,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.286, max=10.66, mean=-0.06353, std=2.214, absmax=10.66 +2025-10-31 16:15:28,290 ERROR: Encountered non-finite generator loss at iter 826; skipping update. +2025-10-31 16:15:28,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:28,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:28,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=14.57, mean=0.0353, std=3.355, absmax=14.57 +2025-10-31 16:15:28,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=12.19, mean=0.01034, std=2.833, absmax=12.19 +2025-10-31 16:15:28,793 ERROR: Encountered non-finite generator loss at iter 827; skipping update. +2025-10-31 16:15:28,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:28,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:28,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:28,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:28,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.7, mean=-0.2063, std=2.717, absmax=11.94 +2025-10-31 16:15:28,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.853, mean=-0.1979, std=2.219, absmax=10.07 +2025-10-31 16:15:29,297 ERROR: Encountered non-finite generator loss at iter 828; skipping update. +2025-10-31 16:15:29,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,299 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,301 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:29,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:29,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.16, mean=-0.2907, std=2.378, absmax=12.89 +2025-10-31 16:15:29,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=7.447, mean=-0.299, std=2.121, absmax=11.24 +2025-10-31 16:15:29,798 ERROR: Encountered non-finite generator loss at iter 829; skipping update. +2025-10-31 16:15:29,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:29,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:29,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:29,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:29,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=10.44, mean=-0.2335, std=2.893, absmax=12.93 +2025-10-31 16:15:29,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=8.689, mean=-0.1632, std=2.539, absmax=10.66 +2025-10-31 16:15:30,303 ERROR: Encountered non-finite generator loss at iter 830; skipping update. +2025-10-31 16:15:30,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:30,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:30,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.5, max=14.52, mean=-0.06033, std=3.511, absmax=16.5 +2025-10-31 16:15:30,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.73, max=12.65, mean=-0.09027, std=3.067, absmax=13.73 +2025-10-31 16:15:30,806 ERROR: Encountered non-finite generator loss at iter 831; skipping update. +2025-10-31 16:15:30,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:30,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:30,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:30,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:30,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.07, mean=-0.2711, std=2.755, absmax=14.07 +2025-10-31 16:15:30,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.02, mean=-0.2627, std=2.347, absmax=10.49 +2025-10-31 16:15:31,309 ERROR: Encountered non-finite generator loss at iter 832; skipping update. +2025-10-31 16:15:31,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:31,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:31,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.27, mean=-0.2047, std=3.014, absmax=14.27 +2025-10-31 16:15:31,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.508, mean=-0.1938, std=2.496, absmax=10.07 +2025-10-31 16:15:31,814 ERROR: Encountered non-finite generator loss at iter 833; skipping update. +2025-10-31 16:15:31,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:31,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:31,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:31,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:31,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.99, mean=-0.1938, std=2.97, absmax=11.99 +2025-10-31 16:15:31,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=10.35, mean=-0.1608, std=2.584, absmax=10.35 +2025-10-31 16:15:32,318 ERROR: Encountered non-finite generator loss at iter 834; skipping update. +2025-10-31 16:15:32,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:32,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:32,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.18, mean=-0.2976, std=2.706, absmax=13.73 +2025-10-31 16:15:32,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=7.925, mean=-0.2981, std=2.246, absmax=10.82 +2025-10-31 16:15:32,819 ERROR: Encountered non-finite generator loss at iter 835; skipping update. +2025-10-31 16:15:32,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:32,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:32,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:32,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:32,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.18, mean=-0.2742, std=2.755, absmax=13.32 +2025-10-31 16:15:32,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.033, mean=-0.2583, std=2.281, absmax=10 +2025-10-31 16:15:33,324 ERROR: Encountered non-finite generator loss at iter 836; skipping update. +2025-10-31 16:15:33,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:33,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:33,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=14.61, mean=-0.01005, std=3.504, absmax=15.66 +2025-10-31 16:15:33,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.76, max=12.63, mean=-0.001882, std=3.011, absmax=13.76 +2025-10-31 16:15:33,829 ERROR: Encountered non-finite generator loss at iter 837; skipping update. +2025-10-31 16:15:33,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:33,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:33,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:33,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:33,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.32, mean=-0.04243, std=2.934, absmax=12.72 +2025-10-31 16:15:33,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.399, max=8.101, mean=-0.09612, std=2.37, absmax=9.399 +2025-10-31 16:15:34,339 ERROR: Encountered non-finite generator loss at iter 838; skipping update. +2025-10-31 16:15:34,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:34,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:34,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=10.46, mean=-0.2538, std=2.555, absmax=11.06 +2025-10-31 16:15:34,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=8.74, mean=-0.2477, std=2.399, absmax=11.13 +2025-10-31 16:15:34,841 ERROR: Encountered non-finite generator loss at iter 839; skipping update. +2025-10-31 16:15:34,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:34,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:34,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:34,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:34,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=9.738, mean=-0.2332, std=2.417, absmax=11.23 +2025-10-31 16:15:34,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=7.646, mean=-0.2338, std=2.059, absmax=10.01 +2025-10-31 16:15:35,345 ERROR: Encountered non-finite generator loss at iter 840; skipping update. +2025-10-31 16:15:35,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:35,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:35,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=15.62, mean=-0.2411, std=3.305, absmax=15.62 +2025-10-31 16:15:35,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=13.43, mean=-0.2369, std=2.786, absmax=13.43 +2025-10-31 16:15:35,848 ERROR: Encountered non-finite generator loss at iter 841; skipping update. +2025-10-31 16:15:35,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:35,853 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:35,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:35,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:35,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=12.23, mean=-0.1598, std=3.247, absmax=14.33 +2025-10-31 16:15:35,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.04, mean=-0.1453, std=2.648, absmax=10.37 +2025-10-31 16:15:36,351 ERROR: Encountered non-finite generator loss at iter 842; skipping update. +2025-10-31 16:15:36,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:36,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:36,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.28, mean=-0.3404, std=2.871, absmax=12.74 +2025-10-31 16:15:36,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.54, mean=-0.2711, std=2.427, absmax=10.23 +2025-10-31 16:15:36,855 ERROR: Encountered non-finite generator loss at iter 843; skipping update. +2025-10-31 16:15:36,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:36,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:36,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:36,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:36,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=16.9, mean=-0.2127, std=3.498, absmax=16.9 +2025-10-31 16:15:36,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.8, mean=-0.2561, std=2.733, absmax=11.53 +2025-10-31 16:15:37,359 ERROR: Encountered non-finite generator loss at iter 844; skipping update. +2025-10-31 16:15:37,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:37,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:37,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=17.29, mean=0.1372, std=3.697, absmax=17.29 +2025-10-31 16:15:37,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=14.51, mean=0.1314, std=3.206, absmax=14.51 +2025-10-31 16:15:37,863 ERROR: Encountered non-finite generator loss at iter 845; skipping update. +2025-10-31 16:15:37,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:37,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:37,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:37,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:37,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.79, mean=0.03958, std=3.451, absmax=13.79 +2025-10-31 16:15:37,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=10.12, mean=-0.04032, std=2.874, absmax=10.12 +2025-10-31 16:15:38,365 ERROR: Encountered non-finite generator loss at iter 846; skipping update. +2025-10-31 16:15:38,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:38,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:38,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.92, mean=-0.1966, std=3.001, absmax=13.92 +2025-10-31 16:15:38,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.368, max=10.64, mean=-0.1782, std=2.58, absmax=10.64 +2025-10-31 16:15:38,868 ERROR: Encountered non-finite generator loss at iter 847; skipping update. +2025-10-31 16:15:38,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,871 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:38,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:38,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:38,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:38,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=12.86, mean=-0.1389, std=2.524, absmax=12.86 +2025-10-31 16:15:38,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=10.01, mean=-0.1732, std=2.125, absmax=10.01 +2025-10-31 16:15:39,370 ERROR: Encountered non-finite generator loss at iter 848; skipping update. +2025-10-31 16:15:39,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:39,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:39,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.64, mean=-0.08221, std=3.098, absmax=13.64 +2025-10-31 16:15:39,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=9.031, mean=-0.07323, std=2.498, absmax=9.601 +2025-10-31 16:15:39,872 ERROR: Encountered non-finite generator loss at iter 849; skipping update. +2025-10-31 16:15:39,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:39,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:39,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:39,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:39,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.03, mean=-0.1267, std=2.862, absmax=13.03 +2025-10-31 16:15:39,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.18, mean=-0.134, std=2.566, absmax=10.54 +2025-10-31 16:15:40,374 ERROR: Encountered non-finite generator loss at iter 850; skipping update. +2025-10-31 16:15:40,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:40,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:40,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.52, mean=0.123, std=3.63, absmax=15 +2025-10-31 16:15:40,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=10.33, mean=0.03732, std=2.962, absmax=10.41 +2025-10-31 16:15:40,877 ERROR: Encountered non-finite generator loss at iter 851; skipping update. +2025-10-31 16:15:40,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:40,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:40,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:40,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:40,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=19.72, mean=-0.1704, std=3.274, absmax=19.72 +2025-10-31 16:15:40,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=11.98, mean=-0.1766, std=2.762, absmax=11.98 +2025-10-31 16:15:41,378 ERROR: Encountered non-finite generator loss at iter 852; skipping update. +2025-10-31 16:15:41,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:41,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:41,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.54, mean=0.02711, std=3.727, absmax=14.74 +2025-10-31 16:15:41,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=12.1, mean=0.001276, std=3.181, absmax=12.1 +2025-10-31 16:15:41,880 ERROR: Encountered non-finite generator loss at iter 853; skipping update. +2025-10-31 16:15:41,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:41,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:41,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:41,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:41,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.42, mean=-0.0268, std=3.219, absmax=13.42 +2025-10-31 16:15:41,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=11.59, mean=-0.02328, std=2.671, absmax=11.59 +2025-10-31 16:15:42,384 ERROR: Encountered non-finite generator loss at iter 854; skipping update. +2025-10-31 16:15:42,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:42,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:42,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=9.84, mean=-0.1458, std=2.721, absmax=15.17 +2025-10-31 16:15:42,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=8.141, mean=-0.1996, std=2.343, absmax=11.96 +2025-10-31 16:15:42,888 ERROR: Encountered non-finite generator loss at iter 855; skipping update. +2025-10-31 16:15:42,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:42,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:42,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:42,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:42,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.2, mean=-0.2324, std=2.621, absmax=12.77 +2025-10-31 16:15:42,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=9.481, mean=-0.2217, std=2.392, absmax=10.39 +2025-10-31 16:15:43,391 ERROR: Encountered non-finite generator loss at iter 856; skipping update. +2025-10-31 16:15:43,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:43,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:43,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.16, mean=-0.104, std=2.996, absmax=14.16 +2025-10-31 16:15:43,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.954, max=9.265, mean=-0.125, std=2.483, absmax=9.954 +2025-10-31 16:15:43,912 ERROR: Encountered non-finite generator loss at iter 857; skipping update. +2025-10-31 16:15:43,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:43,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:43,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:43,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:43,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.53, mean=-0.05148, std=3.369, absmax=14.53 +2025-10-31 16:15:43,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=10.46, mean=-0.07811, std=2.741, absmax=11.23 +2025-10-31 16:15:44,421 ERROR: Encountered non-finite generator loss at iter 858; skipping update. +2025-10-31 16:15:44,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:44,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:44,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.41, mean=-0.1416, std=2.563, absmax=12.41 +2025-10-31 16:15:44,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.603, max=7.438, mean=-0.143, std=2.03, absmax=8.603 +2025-10-31 16:15:44,925 ERROR: Encountered non-finite generator loss at iter 859; skipping update. +2025-10-31 16:15:44,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:44,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:44,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:44,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:44,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=8.603, mean=-0.2697, std=1.989, absmax=12.09 +2025-10-31 16:15:44,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=6.984, mean=-0.219, std=1.795, absmax=9.66 +2025-10-31 16:15:45,427 ERROR: Encountered non-finite generator loss at iter 860; skipping update. +2025-10-31 16:15:45,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:45,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:45,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.09, mean=-0.2764, std=2.76, absmax=13.01 +2025-10-31 16:15:45,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=8.984, mean=-0.3203, std=2.444, absmax=9.045 +2025-10-31 16:15:45,932 ERROR: Encountered non-finite generator loss at iter 861; skipping update. +2025-10-31 16:15:45,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,937 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:45,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:45,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:45,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:45,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.43, mean=-0.1625, std=2.437, absmax=13.04 +2025-10-31 16:15:45,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.966, max=7.833, mean=-0.1552, std=1.998, absmax=9.966 +2025-10-31 16:15:46,434 ERROR: Encountered non-finite generator loss at iter 862; skipping update. +2025-10-31 16:15:46,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:46,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:46,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.19, mean=-0.005402, std=3.202, absmax=13.19 +2025-10-31 16:15:46,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.61, max=10.27, mean=0.002905, std=2.716, absmax=10.27 +2025-10-31 16:15:46,936 ERROR: Encountered non-finite generator loss at iter 863; skipping update. +2025-10-31 16:15:46,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:46,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:46,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:46,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:46,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=15.84, mean=-0.07221, std=3.142, absmax=15.84 +2025-10-31 16:15:46,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=14.68, mean=-0.09975, std=2.599, absmax=14.68 +2025-10-31 16:15:47,438 ERROR: Encountered non-finite generator loss at iter 864; skipping update. +2025-10-31 16:15:47,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:47,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:47,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=14.82, mean=-0.05734, std=2.763, absmax=14.82 +2025-10-31 16:15:47,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.581, max=10.93, mean=-0.0471, std=2.278, absmax=10.93 +2025-10-31 16:15:47,939 ERROR: Encountered non-finite generator loss at iter 865; skipping update. +2025-10-31 16:15:47,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:47,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:47,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:47,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:47,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=10.58, mean=-0.1855, std=2.653, absmax=11.41 +2025-10-31 16:15:47,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=8.836, mean=-0.2105, std=2.386, absmax=11.07 +2025-10-31 16:15:48,441 ERROR: Encountered non-finite generator loss at iter 866; skipping update. +2025-10-31 16:15:48,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,444 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:48,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:48,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.89, mean=-0.3477, std=2.62, absmax=13.89 +2025-10-31 16:15:48,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=10, mean=-0.2749, std=2.271, absmax=10 +2025-10-31 16:15:48,943 ERROR: Encountered non-finite generator loss at iter 867; skipping update. +2025-10-31 16:15:48,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:48,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:48,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:48,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:48,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=14.68, mean=-0.07438, std=3.22, absmax=14.68 +2025-10-31 16:15:48,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.544, max=11.81, mean=-0.06763, std=2.714, absmax=11.81 +2025-10-31 16:15:49,448 ERROR: Encountered non-finite generator loss at iter 868; skipping update. +2025-10-31 16:15:49,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:49,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:49,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.57, mean=-0.2468, std=2.922, absmax=12.57 +2025-10-31 16:15:49,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=10.03, mean=-0.2959, std=2.451, absmax=11.15 +2025-10-31 16:15:49,950 ERROR: Encountered non-finite generator loss at iter 869; skipping update. +2025-10-31 16:15:49,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,953 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:49,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:49,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:49,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:49,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.91, mean=-0.224, std=2.611, absmax=12.91 +2025-10-31 16:15:49,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.333, mean=-0.2085, std=2.245, absmax=10.63 +2025-10-31 16:15:50,453 ERROR: Encountered non-finite generator loss at iter 870; skipping update. +2025-10-31 16:15:50,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:50,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:50,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.1, max=14.83, mean=-0.1064, std=3.107, absmax=16.1 +2025-10-31 16:15:50,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=10.26, mean=-0.1142, std=2.466, absmax=11.96 +2025-10-31 16:15:50,955 ERROR: Encountered non-finite generator loss at iter 871; skipping update. +2025-10-31 16:15:50,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:50,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:50,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:50,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:50,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.13, mean=0.01025, std=2.858, absmax=12.22 +2025-10-31 16:15:50,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=9.343, mean=-0.02904, std=2.307, absmax=9.977 +2025-10-31 16:15:51,456 ERROR: Encountered non-finite generator loss at iter 872; skipping update. +2025-10-31 16:15:51,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:51,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:51,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=16.29, mean=-0.219, std=2.819, absmax=16.29 +2025-10-31 16:15:51,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.21, mean=-0.243, std=2.286, absmax=11.21 +2025-10-31 16:15:51,959 ERROR: Encountered non-finite generator loss at iter 873; skipping update. +2025-10-31 16:15:51,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:51,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:51,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:51,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:51,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.4, mean=-0.2225, std=2.745, absmax=12.02 +2025-10-31 16:15:51,968 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.809, max=8.048, mean=-0.2071, std=2.329, absmax=9.809 +2025-10-31 16:15:52,462 ERROR: Encountered non-finite generator loss at iter 874; skipping update. +2025-10-31 16:15:52,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:52,471 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:52,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.85, mean=-0.168, std=2.709, absmax=12.85 +2025-10-31 16:15:52,473 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=9.171, mean=-0.1341, std=2.284, absmax=9.514 +2025-10-31 16:15:52,966 ERROR: Encountered non-finite generator loss at iter 875; skipping update. +2025-10-31 16:15:52,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,972 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:52,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:52,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:52,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:52,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.56, mean=-0.112, std=2.727, absmax=12.56 +2025-10-31 16:15:52,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.285, mean=-0.1095, std=2.277, absmax=11.16 +2025-10-31 16:15:53,471 ERROR: Encountered non-finite generator loss at iter 876; skipping update. +2025-10-31 16:15:53,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,476 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,477 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:53,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:53,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=10.79, mean=-0.1696, std=2.528, absmax=10.79 +2025-10-31 16:15:53,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.38, mean=-0.202, std=2.263, absmax=10.01 +2025-10-31 16:15:53,973 ERROR: Encountered non-finite generator loss at iter 877; skipping update. +2025-10-31 16:15:53,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:53,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:53,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:53,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:53,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.53, mean=-0.295, std=3.078, absmax=13.53 +2025-10-31 16:15:53,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.901, max=8.606, mean=-0.2835, std=2.468, absmax=9.901 +2025-10-31 16:15:54,476 ERROR: Encountered non-finite generator loss at iter 878; skipping update. +2025-10-31 16:15:54,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,479 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:54,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:54,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.44, mean=-0.1449, std=3.495, absmax=13.83 +2025-10-31 16:15:54,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.651, mean=-0.1328, std=2.747, absmax=10.89 +2025-10-31 16:15:54,978 ERROR: Encountered non-finite generator loss at iter 879; skipping update. +2025-10-31 16:15:54,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,984 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:54,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:54,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:54,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:54,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=18.18, mean=-0.09073, std=3.399, absmax=18.18 +2025-10-31 16:15:54,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.88, mean=-0.1751, std=2.894, absmax=11.65 +2025-10-31 16:15:55,481 ERROR: Encountered non-finite generator loss at iter 880; skipping update. +2025-10-31 16:15:55,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:55,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:55,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.59, mean=-0.1053, std=2.63, absmax=12.59 +2025-10-31 16:15:55,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=9.104, mean=-0.0937, std=2.181, absmax=11.73 +2025-10-31 16:15:55,981 ERROR: Encountered non-finite generator loss at iter 881; skipping update. +2025-10-31 16:15:55,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:55,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:55,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:55,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:55,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.77, mean=-0.2557, std=3.072, absmax=12.72 +2025-10-31 16:15:55,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.757, mean=-0.2797, std=2.749, absmax=10.49 +2025-10-31 16:15:56,482 ERROR: Encountered non-finite generator loss at iter 882; skipping update. +2025-10-31 16:15:56,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:56,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:56,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.82, mean=-0.192, std=2.662, absmax=12.94 +2025-10-31 16:15:56,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.936, max=8.867, mean=-0.1895, std=2.149, absmax=8.936 +2025-10-31 16:15:56,983 ERROR: Encountered non-finite generator loss at iter 883; skipping update. +2025-10-31 16:15:56,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:56,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:56,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:56,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:56,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.42, mean=-0.1156, std=3.429, absmax=13.42 +2025-10-31 16:15:56,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.71, mean=-0.131, std=2.797, absmax=11.71 +2025-10-31 16:15:57,484 ERROR: Encountered non-finite generator loss at iter 884; skipping update. +2025-10-31 16:15:57,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:57,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:57,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.63, mean=-0.1949, std=2.719, absmax=13.63 +2025-10-31 16:15:57,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.124, max=9.299, mean=-0.1979, std=2.12, absmax=9.299 +2025-10-31 16:15:57,986 ERROR: Encountered non-finite generator loss at iter 885; skipping update. +2025-10-31 16:15:57,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:57,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:57,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:57,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:57,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=10.87, mean=-0.04644, std=2.784, absmax=11.15 +2025-10-31 16:15:57,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.01, max=10.06, mean=-0.04179, std=2.502, absmax=10.06 +2025-10-31 16:15:58,490 ERROR: Encountered non-finite generator loss at iter 886; skipping update. +2025-10-31 16:15:58,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:58,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:58,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:58,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:58,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:58,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:58,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:58,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:58,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=10.75, mean=-0.1302, std=2.665, absmax=13.54 +2025-10-31 16:15:58,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.073, mean=-0.1362, std=2.134, absmax=10.63 +2025-10-31 16:15:58,995 ERROR: Encountered non-finite generator loss at iter 887; skipping update. +2025-10-31 16:15:58,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:58,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:58,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:58,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:59,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:59,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:59,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:59,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:59,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=13.13, mean=-0.03451, std=3.135, absmax=15.31 +2025-10-31 16:15:59,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=9.502, mean=-0.05428, std=2.501, absmax=11.56 +2025-10-31 16:15:59,498 ERROR: Encountered non-finite generator loss at iter 888; skipping update. +2025-10-31 16:15:59,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:15:59,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:15:59,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:15:59,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:15:59,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:15:59,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:15:59,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:15:59,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:15:59,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.08, mean=-0.05617, std=2.952, absmax=13.08 +2025-10-31 16:15:59,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.032, max=10.25, mean=-0.08288, std=2.445, absmax=10.25 +2025-10-31 16:16:00,001 ERROR: Encountered non-finite generator loss at iter 889; skipping update. +2025-10-31 16:16:00,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:00,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:00,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.4, mean=-0.2605, std=2.962, absmax=13.4 +2025-10-31 16:16:00,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=8.118, mean=-0.2789, std=2.264, absmax=10.66 +2025-10-31 16:16:00,504 ERROR: Encountered non-finite generator loss at iter 890; skipping update. +2025-10-31 16:16:00,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:00,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:00,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:00,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:00,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.32, mean=-0.2041, std=2.661, absmax=15.32 +2025-10-31 16:16:00,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.826, max=12.51, mean=-0.1534, std=2.233, absmax=12.51 +2025-10-31 16:16:01,006 ERROR: Encountered non-finite generator loss at iter 891; skipping update. +2025-10-31 16:16:01,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:01,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:01,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=10.99, mean=-0.2289, std=2.844, absmax=11.79 +2025-10-31 16:16:01,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=7.917, mean=-0.2104, std=2.374, absmax=10.62 +2025-10-31 16:16:01,510 ERROR: Encountered non-finite generator loss at iter 892; skipping update. +2025-10-31 16:16:01,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:01,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:01,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:01,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:01,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.83, mean=-0.249, std=2.535, absmax=13.83 +2025-10-31 16:16:01,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=9.721, mean=-0.242, std=2.102, absmax=9.895 +2025-10-31 16:16:02,013 ERROR: Encountered non-finite generator loss at iter 893; skipping update. +2025-10-31 16:16:02,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:02,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:02,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.42, mean=-0.2111, std=3.189, absmax=14.69 +2025-10-31 16:16:02,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=9.991, mean=-0.1847, std=2.787, absmax=11.99 +2025-10-31 16:16:02,516 ERROR: Encountered non-finite generator loss at iter 894; skipping update. +2025-10-31 16:16:02,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:02,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:02,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:02,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:02,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.67, mean=-0.2345, std=3.232, absmax=13.67 +2025-10-31 16:16:02,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.66, mean=-0.1848, std=2.761, absmax=10.87 +2025-10-31 16:16:03,017 ERROR: Encountered non-finite generator loss at iter 895; skipping update. +2025-10-31 16:16:03,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:03,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:03,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.62, mean=0.1018, std=3.688, absmax=14.62 +2025-10-31 16:16:03,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.6, mean=0.0966, std=3.114, absmax=12.6 +2025-10-31 16:16:03,520 ERROR: Encountered non-finite generator loss at iter 896; skipping update. +2025-10-31 16:16:03,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:03,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:03,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:03,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:03,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.97, mean=-0.1582, std=2.787, absmax=12.97 +2025-10-31 16:16:03,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.654, max=8.292, mean=-0.1705, std=2.403, absmax=9.654 +2025-10-31 16:16:04,021 ERROR: Encountered non-finite generator loss at iter 897; skipping update. +2025-10-31 16:16:04,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,024 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,028 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:04,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:04,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.7, mean=-0.2025, std=3.107, absmax=12.74 +2025-10-31 16:16:04,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=9.361, mean=-0.2158, std=2.701, absmax=12.44 +2025-10-31 16:16:04,524 ERROR: Encountered non-finite generator loss at iter 898; skipping update. +2025-10-31 16:16:04,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:04,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:04,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:04,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:04,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.15, mean=-0.0525, std=3.192, absmax=13.15 +2025-10-31 16:16:04,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=11.24, mean=-0.05814, std=2.67, absmax=11.71 +2025-10-31 16:16:05,026 ERROR: Encountered non-finite generator loss at iter 899; skipping update. +2025-10-31 16:16:05,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:05,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:05,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.32, mean=-0.1495, std=2.66, absmax=13.32 +2025-10-31 16:16:05,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.005, max=10.18, mean=-0.1541, std=2.253, absmax=10.18 +2025-10-31 16:16:05,527 ERROR: Encountered non-finite generator loss at iter 900; skipping update. +2025-10-31 16:16:05,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:05,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:05,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:05,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:05,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.94, mean=0.02597, std=3.03, absmax=12.17 +2025-10-31 16:16:05,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=10.98, mean=0.0346, std=2.769, absmax=10.98 +2025-10-31 16:16:05,538 INFO: [29..][epoch: 0, step: 900, lr:(1.500e-04,)] [eta: 2 days, 7:39:38, time (data): 0.503 (0.000)] +2025-10-31 16:16:06,029 ERROR: Encountered non-finite generator loss at iter 901; skipping update. +2025-10-31 16:16:06,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:06,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:06,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.34, mean=-0.09695, std=2.938, absmax=13.34 +2025-10-31 16:16:06,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.7, max=11.33, mean=-0.1359, std=2.473, absmax=11.33 +2025-10-31 16:16:06,532 ERROR: Encountered non-finite generator loss at iter 902; skipping update. +2025-10-31 16:16:06,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:06,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:06,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:06,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:06,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.41, mean=-0.04264, std=3.245, absmax=14 +2025-10-31 16:16:06,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.66, mean=-0.06538, std=2.848, absmax=11.27 +2025-10-31 16:16:07,034 ERROR: Encountered non-finite generator loss at iter 903; skipping update. +2025-10-31 16:16:07,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:07,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:07,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=10.96, mean=-0.1655, std=2.628, absmax=12.02 +2025-10-31 16:16:07,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.488, max=8.729, mean=-0.1637, std=2.275, absmax=9.488 +2025-10-31 16:16:07,535 ERROR: Encountered non-finite generator loss at iter 904; skipping update. +2025-10-31 16:16:07,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:07,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:07,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:07,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:07,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.68, max=11.98, mean=-0.124, std=2.668, absmax=15.68 +2025-10-31 16:16:07,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=8.173, mean=-0.09974, std=2.263, absmax=11.02 +2025-10-31 16:16:08,036 ERROR: Encountered non-finite generator loss at iter 905; skipping update. +2025-10-31 16:16:08,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:08,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:08,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.01, mean=-0.2209, std=2.544, absmax=12.75 +2025-10-31 16:16:08,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.954, max=9.218, mean=-0.2088, std=2.111, absmax=9.954 +2025-10-31 16:16:08,538 ERROR: Encountered non-finite generator loss at iter 906; skipping update. +2025-10-31 16:16:08,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,540 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:08,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:08,544 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:08,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:08,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.66, mean=-0.04813, std=4.067, absmax=15.66 +2025-10-31 16:16:08,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=13.51, mean=0.006629, std=3.434, absmax=13.51 +2025-10-31 16:16:09,038 ERROR: Encountered non-finite generator loss at iter 907; skipping update. +2025-10-31 16:16:09,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:09,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:09,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=15.82, mean=-0.1762, std=2.92, absmax=15.82 +2025-10-31 16:16:09,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.38, max=9.517, mean=-0.1864, std=2.34, absmax=9.517 +2025-10-31 16:16:09,540 ERROR: Encountered non-finite generator loss at iter 908; skipping update. +2025-10-31 16:16:09,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:09,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:09,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:09,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:09,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.8, mean=-0.06522, std=2.76, absmax=12.8 +2025-10-31 16:16:09,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.35, max=11.47, mean=-0.09105, std=2.561, absmax=11.47 +2025-10-31 16:16:10,041 ERROR: Encountered non-finite generator loss at iter 909; skipping update. +2025-10-31 16:16:10,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:10,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:10,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.71, mean=-0.2022, std=2.749, absmax=13.22 +2025-10-31 16:16:10,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=8.133, mean=-0.1999, std=2.192, absmax=9.684 +2025-10-31 16:16:10,543 ERROR: Encountered non-finite generator loss at iter 910; skipping update. +2025-10-31 16:16:10,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:10,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:10,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:10,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:10,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.85, mean=-0.002323, std=3.178, absmax=12.85 +2025-10-31 16:16:10,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.968, max=9.419, mean=-0.06793, std=2.473, absmax=9.968 +2025-10-31 16:16:11,042 ERROR: Encountered non-finite generator loss at iter 911; skipping update. +2025-10-31 16:16:11,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:11,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:11,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=15.27, mean=-0.1378, std=3.32, absmax=15.27 +2025-10-31 16:16:11,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.66, mean=-0.1605, std=2.551, absmax=10.66 +2025-10-31 16:16:11,544 ERROR: Encountered non-finite generator loss at iter 912; skipping update. +2025-10-31 16:16:11,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:11,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:11,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:11,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:11,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.31, mean=-0.155, std=3.288, absmax=14.31 +2025-10-31 16:16:11,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=12.83, mean=-0.1168, std=2.864, absmax=12.83 +2025-10-31 16:16:12,047 ERROR: Encountered non-finite generator loss at iter 913; skipping update. +2025-10-31 16:16:12,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:12,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:12,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=14.37, mean=-0.005803, std=3.074, absmax=14.37 +2025-10-31 16:16:12,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=13.25, mean=-0.02566, std=2.773, absmax=13.25 +2025-10-31 16:16:12,550 ERROR: Encountered non-finite generator loss at iter 914; skipping update. +2025-10-31 16:16:12,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,553 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:12,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:12,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:12,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:12,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.69, mean=-0.1538, std=3.03, absmax=13.69 +2025-10-31 16:16:12,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=11.91, mean=-0.132, std=2.634, absmax=11.91 +2025-10-31 16:16:13,050 ERROR: Encountered non-finite generator loss at iter 915; skipping update. +2025-10-31 16:16:13,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:13,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:13,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=14.57, mean=-0.05802, std=3.026, absmax=14.57 +2025-10-31 16:16:13,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.343, max=11.09, mean=-0.08657, std=2.65, absmax=11.09 +2025-10-31 16:16:13,554 ERROR: Encountered non-finite generator loss at iter 916; skipping update. +2025-10-31 16:16:13,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:13,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:13,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:13,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:13,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=13.41, mean=-0.2807, std=3.309, absmax=15.01 +2025-10-31 16:16:13,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=10.11, mean=-0.2381, std=2.703, absmax=10.77 +2025-10-31 16:16:14,056 ERROR: Encountered non-finite generator loss at iter 917; skipping update. +2025-10-31 16:16:14,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:14,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:14,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.31, mean=-0.2489, std=3.249, absmax=13.79 +2025-10-31 16:16:14,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.055, mean=-0.2192, std=2.701, absmax=10.95 +2025-10-31 16:16:14,557 ERROR: Encountered non-finite generator loss at iter 918; skipping update. +2025-10-31 16:16:14,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:14,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:14,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:14,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:14,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.8, mean=-0.1065, std=2.702, absmax=13.56 +2025-10-31 16:16:14,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.619, mean=-0.1574, std=2.191, absmax=11.08 +2025-10-31 16:16:15,057 ERROR: Encountered non-finite generator loss at iter 919; skipping update. +2025-10-31 16:16:15,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:15,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:15,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=12.61, mean=-0.1094, std=2.677, absmax=12.61 +2025-10-31 16:16:15,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.674, max=7.813, mean=-0.1746, std=2.276, absmax=9.674 +2025-10-31 16:16:15,558 ERROR: Encountered non-finite generator loss at iter 920; skipping update. +2025-10-31 16:16:15,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:15,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:15,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:15,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:15,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=15.11, mean=-0.2522, std=2.848, absmax=15.11 +2025-10-31 16:16:15,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.132, max=10.96, mean=-0.264, std=2.563, absmax=10.96 +2025-10-31 16:16:16,059 ERROR: Encountered non-finite generator loss at iter 921; skipping update. +2025-10-31 16:16:16,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:16,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:16,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.65, mean=-0.03549, std=3.32, absmax=14.65 +2025-10-31 16:16:16,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.59, mean=-0.06123, std=2.823, absmax=10.59 +2025-10-31 16:16:16,560 ERROR: Encountered non-finite generator loss at iter 922; skipping update. +2025-10-31 16:16:16,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:16,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:16,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:16,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:16,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.2, mean=-0.1071, std=2.971, absmax=13.31 +2025-10-31 16:16:16,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=9.373, mean=-0.0999, std=2.4, absmax=11.49 +2025-10-31 16:16:17,061 ERROR: Encountered non-finite generator loss at iter 923; skipping update. +2025-10-31 16:16:17,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:17,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:17,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.78, mean=-0.2656, std=3.052, absmax=12.78 +2025-10-31 16:16:17,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=10.26, mean=-0.255, std=2.535, absmax=10.26 +2025-10-31 16:16:17,562 ERROR: Encountered non-finite generator loss at iter 924; skipping update. +2025-10-31 16:16:17,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:17,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:17,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:17,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:17,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.5, mean=-0.2027, std=2.842, absmax=12.62 +2025-10-31 16:16:17,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.343, max=9.501, mean=-0.1489, std=2.379, absmax=9.501 +2025-10-31 16:16:18,063 ERROR: Encountered non-finite generator loss at iter 925; skipping update. +2025-10-31 16:16:18,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:18,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:18,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.8, mean=-0.142, std=3.605, absmax=13.8 +2025-10-31 16:16:18,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=13.45, mean=-0.09275, std=3.316, absmax=13.45 +2025-10-31 16:16:18,564 ERROR: Encountered non-finite generator loss at iter 926; skipping update. +2025-10-31 16:16:18,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:18,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:18,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:18,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:18,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=12.1, mean=-0.3788, std=3.656, absmax=14.05 +2025-10-31 16:16:18,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.49, max=9.718, mean=-0.3178, std=3.136, absmax=12.49 +2025-10-31 16:16:19,065 ERROR: Encountered non-finite generator loss at iter 927; skipping update. +2025-10-31 16:16:19,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:19,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:19,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.77, mean=-0.2237, std=2.603, absmax=14.77 +2025-10-31 16:16:19,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.794, max=7.716, mean=-0.2076, std=2.102, absmax=9.794 +2025-10-31 16:16:19,566 ERROR: Encountered non-finite generator loss at iter 928; skipping update. +2025-10-31 16:16:19,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:19,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:19,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:19,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:19,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.5, mean=-0.1239, std=2.691, absmax=13.5 +2025-10-31 16:16:19,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=9.667, mean=-0.1228, std=2.282, absmax=9.693 +2025-10-31 16:16:20,068 ERROR: Encountered non-finite generator loss at iter 929; skipping update. +2025-10-31 16:16:20,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,071 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:20,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:20,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=10.86, mean=-0.2664, std=2.728, absmax=13.45 +2025-10-31 16:16:20,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.453, max=7.4, mean=-0.2806, std=2.283, absmax=9.453 +2025-10-31 16:16:20,570 ERROR: Encountered non-finite generator loss at iter 930; skipping update. +2025-10-31 16:16:20,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:20,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:20,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:20,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:20,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.53, mean=-0.1709, std=2.964, absmax=13.53 +2025-10-31 16:16:20,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=8.877, mean=-0.2095, std=2.484, absmax=10.58 +2025-10-31 16:16:21,071 ERROR: Encountered non-finite generator loss at iter 931; skipping update. +2025-10-31 16:16:21,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:21,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:21,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.35, mean=0.01315, std=3.201, absmax=15.35 +2025-10-31 16:16:21,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=10.57, mean=0.02532, std=2.683, absmax=10.57 +2025-10-31 16:16:21,573 ERROR: Encountered non-finite generator loss at iter 932; skipping update. +2025-10-31 16:16:21,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:21,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:21,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:21,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:21,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.9, mean=0.007627, std=3.349, absmax=14.9 +2025-10-31 16:16:21,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.99, max=13.3, mean=-0.08821, std=2.97, absmax=13.99 +2025-10-31 16:16:22,074 ERROR: Encountered non-finite generator loss at iter 933; skipping update. +2025-10-31 16:16:22,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:22,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:22,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14.03, mean=-0.1203, std=3.556, absmax=14.03 +2025-10-31 16:16:22,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.56, mean=-0.08699, std=3.002, absmax=11.56 +2025-10-31 16:16:22,576 ERROR: Encountered non-finite generator loss at iter 934; skipping update. +2025-10-31 16:16:22,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:22,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:22,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:22,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:22,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.18, mean=0.1825, std=3.407, absmax=13.18 +2025-10-31 16:16:22,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.97, mean=0.07631, std=2.911, absmax=10.97 +2025-10-31 16:16:23,078 ERROR: Encountered non-finite generator loss at iter 935; skipping update. +2025-10-31 16:16:23,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:23,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:23,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.13, mean=0.008932, std=3.121, absmax=13.38 +2025-10-31 16:16:23,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.592, max=10.12, mean=-0.01888, std=2.599, absmax=10.12 +2025-10-31 16:16:23,579 ERROR: Encountered non-finite generator loss at iter 936; skipping update. +2025-10-31 16:16:23,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:23,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:23,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:23,586 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:23,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=10.95, mean=-0.217, std=2.875, absmax=14.86 +2025-10-31 16:16:23,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.29, max=9.391, mean=-0.2024, std=2.432, absmax=13.29 +2025-10-31 16:16:24,079 ERROR: Encountered non-finite generator loss at iter 937; skipping update. +2025-10-31 16:16:24,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:24,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:24,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.95, max=16.94, mean=-0.2222, std=3.052, absmax=16.94 +2025-10-31 16:16:24,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=10.08, mean=-0.2017, std=2.597, absmax=10.81 +2025-10-31 16:16:24,581 ERROR: Encountered non-finite generator loss at iter 938; skipping update. +2025-10-31 16:16:24,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:24,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:24,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:24,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:24,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=17.36, mean=-0.22, std=3.228, absmax=17.36 +2025-10-31 16:16:24,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=14.3, mean=-0.2568, std=2.681, absmax=14.3 +2025-10-31 16:16:25,083 ERROR: Encountered non-finite generator loss at iter 939; skipping update. +2025-10-31 16:16:25,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:25,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:25,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=15.16, mean=0.09727, std=3.563, absmax=15.16 +2025-10-31 16:16:25,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.179, max=14.82, mean=0.1073, std=3.258, absmax=14.82 +2025-10-31 16:16:25,584 ERROR: Encountered non-finite generator loss at iter 940; skipping update. +2025-10-31 16:16:25,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,588 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,589 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:25,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:25,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:25,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:25,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=11.44, mean=-0.2017, std=2.459, absmax=11.44 +2025-10-31 16:16:25,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.455, max=9.144, mean=-0.1995, std=2.12, absmax=9.455 +2025-10-31 16:16:26,087 ERROR: Encountered non-finite generator loss at iter 941; skipping update. +2025-10-31 16:16:26,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:26,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:26,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=19.04, mean=0.1869, std=4.237, absmax=19.04 +2025-10-31 16:16:26,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=12.86, mean=0.1342, std=3.511, absmax=12.86 +2025-10-31 16:16:26,590 ERROR: Encountered non-finite generator loss at iter 942; skipping update. +2025-10-31 16:16:26,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:26,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:26,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:26,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:26,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.28, mean=-0.2034, std=2.546, absmax=12.28 +2025-10-31 16:16:26,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.4, max=8.671, mean=-0.175, std=2.142, absmax=8.671 +2025-10-31 16:16:27,091 ERROR: Encountered non-finite generator loss at iter 943; skipping update. +2025-10-31 16:16:27,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:27,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:27,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.32, max=13.1, mean=-0.1978, std=2.717, absmax=17.32 +2025-10-31 16:16:27,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.851, mean=-0.2127, std=2.281, absmax=10.96 +2025-10-31 16:16:27,594 ERROR: Encountered non-finite generator loss at iter 944; skipping update. +2025-10-31 16:16:27,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:27,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:27,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:27,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:27,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.03, mean=-0.02009, std=3.465, absmax=14.03 +2025-10-31 16:16:27,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.63, max=9.762, mean=-0.08132, std=2.94, absmax=13.63 +2025-10-31 16:16:28,112 ERROR: Encountered non-finite generator loss at iter 945; skipping update. +2025-10-31 16:16:28,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:28,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:28,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.66, mean=-0.3154, std=3.088, absmax=12.72 +2025-10-31 16:16:28,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.004, mean=-0.3165, std=2.483, absmax=10.67 +2025-10-31 16:16:28,614 ERROR: Encountered non-finite generator loss at iter 946; skipping update. +2025-10-31 16:16:28,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:28,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:28,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:28,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:28,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.41, mean=-0.1439, std=2.819, absmax=13.14 +2025-10-31 16:16:28,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.582, max=9.801, mean=-0.1331, std=2.387, absmax=9.801 +2025-10-31 16:16:29,117 ERROR: Encountered non-finite generator loss at iter 947; skipping update. +2025-10-31 16:16:29,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:29,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:29,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.67, mean=-0.06571, std=3.021, absmax=13.67 +2025-10-31 16:16:29,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.992, max=9.288, mean=-0.0745, std=2.542, absmax=9.288 +2025-10-31 16:16:29,619 ERROR: Encountered non-finite generator loss at iter 948; skipping update. +2025-10-31 16:16:29,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:29,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:29,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:29,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:29,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.15, mean=-0.1804, std=2.919, absmax=11.64 +2025-10-31 16:16:29,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=8.255, mean=-0.2085, std=2.431, absmax=9.828 +2025-10-31 16:16:30,122 ERROR: Encountered non-finite generator loss at iter 949; skipping update. +2025-10-31 16:16:30,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:30,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:30,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.1, mean=-0.2559, std=3.291, absmax=13.1 +2025-10-31 16:16:30,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=8.395, mean=-0.2251, std=2.546, absmax=10.18 +2025-10-31 16:16:30,625 ERROR: Encountered non-finite generator loss at iter 950; skipping update. +2025-10-31 16:16:30,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:30,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:30,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:30,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:30,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=16.55, mean=-0.2322, std=3.233, absmax=16.55 +2025-10-31 16:16:30,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=14.58, mean=-0.2497, std=2.789, absmax=14.58 +2025-10-31 16:16:31,127 ERROR: Encountered non-finite generator loss at iter 951; skipping update. +2025-10-31 16:16:31,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:31,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:31,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=11.64, mean=-0.2881, std=2.849, absmax=13.74 +2025-10-31 16:16:31,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=8.658, mean=-0.2765, std=2.511, absmax=11.46 +2025-10-31 16:16:31,630 ERROR: Encountered non-finite generator loss at iter 952; skipping update. +2025-10-31 16:16:31,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:31,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:31,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:31,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:31,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.23, max=14.76, mean=0.1248, std=3.518, absmax=17.23 +2025-10-31 16:16:31,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.33, max=12, mean=0.09708, std=3.11, absmax=13.33 +2025-10-31 16:16:32,132 ERROR: Encountered non-finite generator loss at iter 953; skipping update. +2025-10-31 16:16:32,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:32,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:32,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=14.75, mean=-0.1677, std=2.797, absmax=14.75 +2025-10-31 16:16:32,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.08, max=10.34, mean=-0.1765, std=2.294, absmax=10.34 +2025-10-31 16:16:32,634 ERROR: Encountered non-finite generator loss at iter 954; skipping update. +2025-10-31 16:16:32,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:32,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:32,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:32,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:32,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=14.41, mean=0.004523, std=2.776, absmax=14.41 +2025-10-31 16:16:32,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.605, max=11.24, mean=-0.06404, std=2.363, absmax=11.24 +2025-10-31 16:16:33,137 ERROR: Encountered non-finite generator loss at iter 955; skipping update. +2025-10-31 16:16:33,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:33,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:33,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.21, max=12.44, mean=-0.2179, std=2.901, absmax=17.21 +2025-10-31 16:16:33,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.395, max=8.929, mean=-0.2085, std=2.389, absmax=9.395 +2025-10-31 16:16:33,640 ERROR: Encountered non-finite generator loss at iter 956; skipping update. +2025-10-31 16:16:33,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:33,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:33,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:33,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:33,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13, mean=-0.2329, std=3.158, absmax=13.48 +2025-10-31 16:16:33,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.55, mean=-0.2287, std=2.657, absmax=10.55 +2025-10-31 16:16:34,141 ERROR: Encountered non-finite generator loss at iter 957; skipping update. +2025-10-31 16:16:34,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:34,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:34,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=12.81, mean=-0.0228, std=3.123, absmax=14.42 +2025-10-31 16:16:34,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.58, mean=-0.04785, std=2.566, absmax=10.58 +2025-10-31 16:16:34,645 ERROR: Encountered non-finite generator loss at iter 958; skipping update. +2025-10-31 16:16:34,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:34,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:34,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:34,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:34,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.43, mean=-0.2233, std=2.777, absmax=11.52 +2025-10-31 16:16:34,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=8.541, mean=-0.1701, std=2.41, absmax=11.58 +2025-10-31 16:16:35,147 ERROR: Encountered non-finite generator loss at iter 959; skipping update. +2025-10-31 16:16:35,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:35,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:35,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.95, mean=-0.09707, std=2.573, absmax=12.13 +2025-10-31 16:16:35,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.956, max=8.829, mean=-0.1685, std=2.082, absmax=8.956 +2025-10-31 16:16:35,650 ERROR: Encountered non-finite generator loss at iter 960; skipping update. +2025-10-31 16:16:35,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:35,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:35,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:35,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:35,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=16.32, mean=0.04569, std=3.291, absmax=16.32 +2025-10-31 16:16:35,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.79, max=11.4, mean=0.04046, std=2.692, absmax=11.4 +2025-10-31 16:16:36,152 ERROR: Encountered non-finite generator loss at iter 961; skipping update. +2025-10-31 16:16:36,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:36,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:36,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.25, mean=-0.3214, std=2.955, absmax=13.94 +2025-10-31 16:16:36,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.871, mean=-0.3328, std=2.586, absmax=10.83 +2025-10-31 16:16:36,656 ERROR: Encountered non-finite generator loss at iter 962; skipping update. +2025-10-31 16:16:36,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:36,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:36,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:36,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:36,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.2, mean=-0.05089, std=2.801, absmax=12.2 +2025-10-31 16:16:36,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.706, max=9.296, mean=-0.04892, std=2.373, absmax=9.296 +2025-10-31 16:16:37,158 ERROR: Encountered non-finite generator loss at iter 963; skipping update. +2025-10-31 16:16:37,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:37,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:37,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.11, mean=-0.2777, std=3.362, absmax=14.11 +2025-10-31 16:16:37,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=11.12, mean=-0.2822, std=2.734, absmax=11.33 +2025-10-31 16:16:37,663 ERROR: Encountered non-finite generator loss at iter 964; skipping update. +2025-10-31 16:16:37,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:37,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:37,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:37,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:37,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.77, mean=-0.2719, std=3.171, absmax=12.77 +2025-10-31 16:16:37,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.65, mean=-0.2574, std=2.624, absmax=11.65 +2025-10-31 16:16:38,165 ERROR: Encountered non-finite generator loss at iter 965; skipping update. +2025-10-31 16:16:38,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,172 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:38,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:38,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=9.119, mean=-0.3264, std=3.046, absmax=13.76 +2025-10-31 16:16:38,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=8.314, mean=-0.2969, std=2.726, absmax=11.65 +2025-10-31 16:16:38,669 ERROR: Encountered non-finite generator loss at iter 966; skipping update. +2025-10-31 16:16:38,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:38,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:38,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:38,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:38,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=12.43, mean=-0.09108, std=2.561, absmax=12.43 +2025-10-31 16:16:38,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.84, max=8.928, mean=-0.09234, std=2.096, absmax=8.928 +2025-10-31 16:16:39,172 ERROR: Encountered non-finite generator loss at iter 967; skipping update. +2025-10-31 16:16:39,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:39,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:39,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.87, mean=-0.2157, std=2.672, absmax=12.39 +2025-10-31 16:16:39,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=9.184, mean=-0.2133, std=2.221, absmax=9.401 +2025-10-31 16:16:39,673 ERROR: Encountered non-finite generator loss at iter 968; skipping update. +2025-10-31 16:16:39,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:39,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:39,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:39,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:39,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=11.56, mean=-0.2158, std=2.949, absmax=14.39 +2025-10-31 16:16:39,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=8.981, mean=-0.1951, std=2.413, absmax=10.45 +2025-10-31 16:16:40,176 ERROR: Encountered non-finite generator loss at iter 969; skipping update. +2025-10-31 16:16:40,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:40,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:40,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.68, mean=-0.2447, std=2.938, absmax=13.68 +2025-10-31 16:16:40,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.814, max=9.234, mean=-0.2112, std=2.578, absmax=9.814 +2025-10-31 16:16:40,678 ERROR: Encountered non-finite generator loss at iter 970; skipping update. +2025-10-31 16:16:40,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:40,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:40,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:40,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:40,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=16.65, mean=-0.2208, std=2.99, absmax=16.65 +2025-10-31 16:16:40,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=9.592, mean=-0.2232, std=2.528, absmax=11.18 +2025-10-31 16:16:41,181 ERROR: Encountered non-finite generator loss at iter 971; skipping update. +2025-10-31 16:16:41,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:41,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:41,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=12.67, mean=-0.2025, std=2.368, absmax=12.67 +2025-10-31 16:16:41,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.191, max=8.469, mean=-0.2532, std=1.974, absmax=8.469 +2025-10-31 16:16:41,684 ERROR: Encountered non-finite generator loss at iter 972; skipping update. +2025-10-31 16:16:41,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:41,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:41,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:41,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:41,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.7, mean=0.008087, std=2.978, absmax=12.7 +2025-10-31 16:16:41,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=11.91, mean=0.02168, std=2.552, absmax=11.91 +2025-10-31 16:16:42,187 ERROR: Encountered non-finite generator loss at iter 973; skipping update. +2025-10-31 16:16:42,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:42,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:42,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.86, mean=-0.2799, std=2.907, absmax=11.86 +2025-10-31 16:16:42,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.34, mean=-0.2455, std=2.515, absmax=10.34 +2025-10-31 16:16:42,693 ERROR: Encountered non-finite generator loss at iter 974; skipping update. +2025-10-31 16:16:42,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:42,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:42,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:42,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:42,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.45, mean=-0.1923, std=2.883, absmax=12.69 +2025-10-31 16:16:42,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.677, mean=-0.1412, std=2.4, absmax=10.83 +2025-10-31 16:16:43,196 ERROR: Encountered non-finite generator loss at iter 975; skipping update. +2025-10-31 16:16:43,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:43,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:43,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=12.59, mean=-0.02355, std=3.361, absmax=14.37 +2025-10-31 16:16:43,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.432, max=10.66, mean=-0.04994, std=2.716, absmax=10.66 +2025-10-31 16:16:43,699 ERROR: Encountered non-finite generator loss at iter 976; skipping update. +2025-10-31 16:16:43,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:43,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:43,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:43,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:43,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.32, mean=-0.1663, std=2.815, absmax=14.32 +2025-10-31 16:16:43,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.997, max=8.14, mean=-0.181, std=2.228, absmax=8.997 +2025-10-31 16:16:44,202 ERROR: Encountered non-finite generator loss at iter 977; skipping update. +2025-10-31 16:16:44,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:44,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:44,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=13.08, mean=-0.2398, std=2.915, absmax=15.72 +2025-10-31 16:16:44,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=8.999, mean=-0.2403, std=2.315, absmax=11.97 +2025-10-31 16:16:44,705 ERROR: Encountered non-finite generator loss at iter 978; skipping update. +2025-10-31 16:16:44,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:44,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:44,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:44,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:44,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.94, mean=0.08313, std=3.127, absmax=12.94 +2025-10-31 16:16:44,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.48, mean=0.05123, std=2.64, absmax=11.13 +2025-10-31 16:16:45,209 ERROR: Encountered non-finite generator loss at iter 979; skipping update. +2025-10-31 16:16:45,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:45,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:45,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.54, mean=-0.189, std=3.19, absmax=12.94 +2025-10-31 16:16:45,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.619, mean=-0.1773, std=2.658, absmax=10.68 +2025-10-31 16:16:45,712 ERROR: Encountered non-finite generator loss at iter 980; skipping update. +2025-10-31 16:16:45,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,714 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:45,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:45,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:45,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:45,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.07, mean=-0.1154, std=3.259, absmax=15.07 +2025-10-31 16:16:45,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=11.03, mean=-0.1277, std=2.628, absmax=11.73 +2025-10-31 16:16:46,213 ERROR: Encountered non-finite generator loss at iter 981; skipping update. +2025-10-31 16:16:46,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:46,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:46,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.47, mean=-0.02704, std=3.758, absmax=14.47 +2025-10-31 16:16:46,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.65, mean=-0.05838, std=3.163, absmax=11.65 +2025-10-31 16:16:46,715 ERROR: Encountered non-finite generator loss at iter 982; skipping update. +2025-10-31 16:16:46,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:46,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:46,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:46,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:46,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.11, mean=-0.1264, std=3.134, absmax=13.11 +2025-10-31 16:16:46,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.776, max=9.811, mean=-0.1435, std=2.527, absmax=9.811 +2025-10-31 16:16:47,216 ERROR: Encountered non-finite generator loss at iter 983; skipping update. +2025-10-31 16:16:47,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:47,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:47,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.32, mean=-0.37, std=3.215, absmax=13.39 +2025-10-31 16:16:47,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.618, mean=-0.3517, std=2.795, absmax=11.03 +2025-10-31 16:16:47,717 ERROR: Encountered non-finite generator loss at iter 984; skipping update. +2025-10-31 16:16:47,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:47,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:47,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:47,724 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:47,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=15.37, mean=-0.0382, std=3.071, absmax=15.37 +2025-10-31 16:16:47,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=10.68, mean=-0.05638, std=2.691, absmax=10.68 +2025-10-31 16:16:48,218 ERROR: Encountered non-finite generator loss at iter 985; skipping update. +2025-10-31 16:16:48,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:48,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:48,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.86, mean=-0.08455, std=3.057, absmax=12.86 +2025-10-31 16:16:48,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=11.27, mean=-0.1264, std=2.624, absmax=11.27 +2025-10-31 16:16:48,719 ERROR: Encountered non-finite generator loss at iter 986; skipping update. +2025-10-31 16:16:48,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:48,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:48,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:48,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:48,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=15.58, mean=-0.01415, std=3.465, absmax=15.58 +2025-10-31 16:16:48,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=12, mean=-0.08415, std=3.004, absmax=12 +2025-10-31 16:16:49,220 ERROR: Encountered non-finite generator loss at iter 987; skipping update. +2025-10-31 16:16:49,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:49,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:49,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=11.68, mean=-0.1598, std=2.414, absmax=13.62 +2025-10-31 16:16:49,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=8.511, mean=-0.1243, std=2.03, absmax=10.13 +2025-10-31 16:16:49,721 ERROR: Encountered non-finite generator loss at iter 988; skipping update. +2025-10-31 16:16:49,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:49,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:49,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:49,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:49,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.85, mean=-0.3845, std=3.251, absmax=13.85 +2025-10-31 16:16:49,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.42, mean=-0.3154, std=2.596, absmax=10.42 +2025-10-31 16:16:50,223 ERROR: Encountered non-finite generator loss at iter 989; skipping update. +2025-10-31 16:16:50,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:50,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:50,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=10.28, mean=-0.3259, std=3.108, absmax=12.8 +2025-10-31 16:16:50,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=7.614, mean=-0.3327, std=2.633, absmax=10.44 +2025-10-31 16:16:50,723 ERROR: Encountered non-finite generator loss at iter 990; skipping update. +2025-10-31 16:16:50,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:50,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:50,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:50,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:50,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14.15, mean=0.1421, std=3.412, absmax=14.15 +2025-10-31 16:16:50,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.44, mean=0.1265, std=2.874, absmax=11.44 +2025-10-31 16:16:51,224 ERROR: Encountered non-finite generator loss at iter 991; skipping update. +2025-10-31 16:16:51,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:51,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:51,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.22, max=12.7, mean=-0.3119, std=2.746, absmax=16.22 +2025-10-31 16:16:51,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.877, max=9.272, mean=-0.2641, std=2.369, absmax=9.877 +2025-10-31 16:16:51,724 ERROR: Encountered non-finite generator loss at iter 992; skipping update. +2025-10-31 16:16:51,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:51,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:51,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:51,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:51,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.7, mean=-0.1067, std=3.216, absmax=12.7 +2025-10-31 16:16:51,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.993, max=10.9, mean=-0.08149, std=2.827, absmax=10.9 +2025-10-31 16:16:52,225 ERROR: Encountered non-finite generator loss at iter 993; skipping update. +2025-10-31 16:16:52,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:52,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:52,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.43, mean=-0.1356, std=2.981, absmax=13.14 +2025-10-31 16:16:52,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.255, mean=-0.1345, std=2.51, absmax=10.69 +2025-10-31 16:16:52,728 ERROR: Encountered non-finite generator loss at iter 994; skipping update. +2025-10-31 16:16:52,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:52,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:52,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:52,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:52,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.77, mean=-0.2364, std=3.287, absmax=13.83 +2025-10-31 16:16:52,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.64, mean=-0.2524, std=2.72, absmax=10.64 +2025-10-31 16:16:53,228 ERROR: Encountered non-finite generator loss at iter 995; skipping update. +2025-10-31 16:16:53,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:53,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:53,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=15.25, mean=-0.02517, std=3.468, absmax=15.25 +2025-10-31 16:16:53,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=12.78, mean=-0.04882, std=3.045, absmax=12.78 +2025-10-31 16:16:53,731 ERROR: Encountered non-finite generator loss at iter 996; skipping update. +2025-10-31 16:16:53,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:53,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:53,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:53,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:53,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.4, mean=0.1018, std=3.226, absmax=13.4 +2025-10-31 16:16:53,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.19, max=9.943, mean=0.04292, std=2.685, absmax=9.943 +2025-10-31 16:16:54,232 ERROR: Encountered non-finite generator loss at iter 997; skipping update. +2025-10-31 16:16:54,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:54,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:54,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=10.89, mean=-0.2841, std=2.776, absmax=16.4 +2025-10-31 16:16:54,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=7.811, mean=-0.2773, std=2.318, absmax=9.571 +2025-10-31 16:16:54,731 ERROR: Encountered non-finite generator loss at iter 998; skipping update. +2025-10-31 16:16:54,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:54,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:54,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:54,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:54,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=9.68, mean=-0.2997, std=2.301, absmax=12.82 +2025-10-31 16:16:54,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.814, max=6.43, mean=-0.2563, std=1.99, absmax=8.814 +2025-10-31 16:16:55,232 ERROR: Encountered non-finite generator loss at iter 999; skipping update. +2025-10-31 16:16:55,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:55,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:55,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.2, mean=-0.1394, std=2.694, absmax=12.2 +2025-10-31 16:16:55,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.59, max=10.18, mean=-0.1249, std=2.312, absmax=10.18 +2025-10-31 16:16:55,733 ERROR: Encountered non-finite generator loss at iter 1000; skipping update. +2025-10-31 16:16:55,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,738 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:55,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:55,740 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:55,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:55,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=13.44, mean=-0.2198, std=3.174, absmax=14.53 +2025-10-31 16:16:55,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.31, max=9.67, mean=-0.2175, std=2.767, absmax=13.31 +2025-10-31 16:16:55,744 INFO: [29..][epoch: 0, step: 1,000, lr:(1.500e-04,)] [eta: 2 days, 5:32:56, time (data): 0.503 (0.000)] +2025-10-31 16:16:56,235 ERROR: Encountered non-finite generator loss at iter 1001; skipping update. +2025-10-31 16:16:56,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:56,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:56,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=10.63, mean=-0.2243, std=2.67, absmax=12.16 +2025-10-31 16:16:56,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.318, mean=-0.2101, std=2.424, absmax=11.19 +2025-10-31 16:16:56,737 ERROR: Encountered non-finite generator loss at iter 1002; skipping update. +2025-10-31 16:16:56,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:56,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:56,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:56,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:56,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.68, mean=-0.2615, std=3.039, absmax=13.61 +2025-10-31 16:16:56,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.226, max=8.84, mean=-0.2387, std=2.385, absmax=9.226 +2025-10-31 16:16:57,244 ERROR: Encountered non-finite generator loss at iter 1003; skipping update. +2025-10-31 16:16:57,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:57,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:57,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.42, mean=-0.2158, std=2.971, absmax=13.42 +2025-10-31 16:16:57,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.701, mean=-0.2507, std=2.452, absmax=10.44 +2025-10-31 16:16:57,749 ERROR: Encountered non-finite generator loss at iter 1004; skipping update. +2025-10-31 16:16:57,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:57,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:57,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:57,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:57,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.48, mean=-0.153, std=2.732, absmax=11.93 +2025-10-31 16:16:57,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.606, mean=-0.1565, std=2.361, absmax=10.59 +2025-10-31 16:16:58,252 ERROR: Encountered non-finite generator loss at iter 1005; skipping update. +2025-10-31 16:16:58,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:58,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:58,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=12.84, mean=-0.3095, std=3.487, absmax=14.71 +2025-10-31 16:16:58,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=9.969, mean=-0.289, std=3, absmax=13.45 +2025-10-31 16:16:58,758 ERROR: Encountered non-finite generator loss at iter 1006; skipping update. +2025-10-31 16:16:58,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:58,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:58,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:58,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:58,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.7, mean=-0.09386, std=2.515, absmax=14.7 +2025-10-31 16:16:58,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.957, max=8.826, mean=-0.1014, std=2.08, absmax=8.957 +2025-10-31 16:16:59,261 ERROR: Encountered non-finite generator loss at iter 1007; skipping update. +2025-10-31 16:16:59,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:59,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:59,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.82, mean=-0.1105, std=2.443, absmax=12.72 +2025-10-31 16:16:59,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.364, max=8.719, mean=-0.1663, std=2.098, absmax=9.364 +2025-10-31 16:16:59,766 ERROR: Encountered non-finite generator loss at iter 1008; skipping update. +2025-10-31 16:16:59,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:16:59,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:16:59,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:16:59,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:16:59,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.97, mean=-0.2909, std=3.36, absmax=13.61 +2025-10-31 16:16:59,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.544, mean=-0.2195, std=2.747, absmax=10.86 +2025-10-31 16:17:00,269 ERROR: Encountered non-finite generator loss at iter 1009; skipping update. +2025-10-31 16:17:00,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:00,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:00,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.62, mean=-0.1415, std=3.04, absmax=12.62 +2025-10-31 16:17:00,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.784, max=10.7, mean=-0.1431, std=2.574, absmax=10.7 +2025-10-31 16:17:00,771 ERROR: Encountered non-finite generator loss at iter 1010; skipping update. +2025-10-31 16:17:00,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:00,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:00,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:00,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:00,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.3, mean=-0.3366, std=3.065, absmax=14.3 +2025-10-31 16:17:00,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=10.66, mean=-0.308, std=2.61, absmax=10.74 +2025-10-31 16:17:01,275 ERROR: Encountered non-finite generator loss at iter 1011; skipping update. +2025-10-31 16:17:01,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:01,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:01,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.12, mean=-0.03635, std=3.323, absmax=14.12 +2025-10-31 16:17:01,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.47, mean=-0.06912, std=2.816, absmax=11.47 +2025-10-31 16:17:01,779 ERROR: Encountered non-finite generator loss at iter 1012; skipping update. +2025-10-31 16:17:01,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:01,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:01,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:01,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:01,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.99, mean=-0.1822, std=3.662, absmax=13.99 +2025-10-31 16:17:01,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.65, max=11.46, mean=-0.1866, std=3.106, absmax=12.65 +2025-10-31 16:17:02,284 ERROR: Encountered non-finite generator loss at iter 1013; skipping update. +2025-10-31 16:17:02,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:02,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:02,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=12.29, mean=-0.1268, std=2.806, absmax=12.29 +2025-10-31 16:17:02,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.904, max=10.25, mean=-0.1416, std=2.352, absmax=10.25 +2025-10-31 16:17:02,788 ERROR: Encountered non-finite generator loss at iter 1014; skipping update. +2025-10-31 16:17:02,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:02,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:02,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:02,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:02,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.9, mean=0.1986, std=3.545, absmax=13.9 +2025-10-31 16:17:02,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=12.15, mean=0.1318, std=3.076, absmax=12.15 +2025-10-31 16:17:03,291 ERROR: Encountered non-finite generator loss at iter 1015; skipping update. +2025-10-31 16:17:03,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:03,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:03,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.79, mean=-0.1481, std=2.953, absmax=14.33 +2025-10-31 16:17:03,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=10.15, mean=-0.1615, std=2.466, absmax=10.72 +2025-10-31 16:17:03,795 ERROR: Encountered non-finite generator loss at iter 1016; skipping update. +2025-10-31 16:17:03,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:03,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:03,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:03,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:03,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=12.04, mean=-0.1963, std=2.97, absmax=13.8 +2025-10-31 16:17:03,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=8.821, mean=-0.1842, std=2.484, absmax=9.769 +2025-10-31 16:17:04,299 ERROR: Encountered non-finite generator loss at iter 1017; skipping update. +2025-10-31 16:17:04,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:04,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:04,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.6, mean=-0.01967, std=3.438, absmax=13.6 +2025-10-31 16:17:04,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=11.19, mean=-0.02304, std=2.821, absmax=11.78 +2025-10-31 16:17:04,803 ERROR: Encountered non-finite generator loss at iter 1018; skipping update. +2025-10-31 16:17:04,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:04,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:04,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:04,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:04,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.19, mean=-0.3086, std=3.257, absmax=14.19 +2025-10-31 16:17:04,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=8.695, mean=-0.2767, std=2.727, absmax=11.05 +2025-10-31 16:17:05,306 ERROR: Encountered non-finite generator loss at iter 1019; skipping update. +2025-10-31 16:17:05,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:05,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:05,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=10.25, mean=-0.1901, std=2.389, absmax=10.88 +2025-10-31 16:17:05,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.908, max=9.534, mean=-0.2014, std=2.209, absmax=9.534 +2025-10-31 16:17:05,811 ERROR: Encountered non-finite generator loss at iter 1020; skipping update. +2025-10-31 16:17:05,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,813 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:05,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:05,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:05,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:05,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.1, mean=-0.212, std=3.017, absmax=12.1 +2025-10-31 16:17:05,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.755, mean=-0.2172, std=2.433, absmax=10.49 +2025-10-31 16:17:06,314 ERROR: Encountered non-finite generator loss at iter 1021; skipping update. +2025-10-31 16:17:06,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:06,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:06,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.77, mean=0.03233, std=3.072, absmax=12.96 +2025-10-31 16:17:06,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.104, max=9.875, mean=-0.00736, std=2.387, absmax=9.875 +2025-10-31 16:17:06,818 ERROR: Encountered non-finite generator loss at iter 1022; skipping update. +2025-10-31 16:17:06,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:06,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:06,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:06,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:06,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.48, mean=-0.2075, std=3.291, absmax=14.48 +2025-10-31 16:17:06,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.686, max=11.27, mean=-0.2068, std=2.664, absmax=11.27 +2025-10-31 16:17:07,322 ERROR: Encountered non-finite generator loss at iter 1023; skipping update. +2025-10-31 16:17:07,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:07,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:07,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.22, mean=-0.1669, std=3.037, absmax=13.22 +2025-10-31 16:17:07,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.724, mean=-0.1768, std=2.436, absmax=11.71 +2025-10-31 16:17:07,824 ERROR: Encountered non-finite generator loss at iter 1024; skipping update. +2025-10-31 16:17:07,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:07,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:07,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:07,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:07,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.77, mean=-0.184, std=2.596, absmax=13.77 +2025-10-31 16:17:07,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.918, max=9.432, mean=-0.1636, std=2.29, absmax=9.432 +2025-10-31 16:17:08,325 ERROR: Encountered non-finite generator loss at iter 1025; skipping update. +2025-10-31 16:17:08,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:08,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:08,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.2, mean=-0.1993, std=2.955, absmax=11.94 +2025-10-31 16:17:08,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.224, max=9.047, mean=-0.1925, std=2.406, absmax=9.224 +2025-10-31 16:17:08,829 ERROR: Encountered non-finite generator loss at iter 1026; skipping update. +2025-10-31 16:17:08,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:08,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:08,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:08,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:08,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.55, mean=-0.03742, std=2.921, absmax=11.61 +2025-10-31 16:17:08,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.206, max=10.12, mean=-0.05179, std=2.478, absmax=10.12 +2025-10-31 16:17:09,335 ERROR: Encountered non-finite generator loss at iter 1027; skipping update. +2025-10-31 16:17:09,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:09,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:09,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.19, mean=-0.2319, std=2.859, absmax=12.7 +2025-10-31 16:17:09,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.667, max=8.323, mean=-0.2495, std=2.422, absmax=9.667 +2025-10-31 16:17:09,839 ERROR: Encountered non-finite generator loss at iter 1028; skipping update. +2025-10-31 16:17:09,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:09,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:09,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:09,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:09,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.78, mean=-0.2508, std=3.047, absmax=13.78 +2025-10-31 16:17:09,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.727, mean=-0.2349, std=2.576, absmax=11.16 +2025-10-31 16:17:10,343 ERROR: Encountered non-finite generator loss at iter 1029; skipping update. +2025-10-31 16:17:10,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:10,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:10,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.65, mean=-0.1554, std=2.74, absmax=13.65 +2025-10-31 16:17:10,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.203, max=9.448, mean=-0.1467, std=2.292, absmax=9.448 +2025-10-31 16:17:10,847 ERROR: Encountered non-finite generator loss at iter 1030; skipping update. +2025-10-31 16:17:10,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:10,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:10,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:10,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:10,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.47, mean=-0.04517, std=2.995, absmax=14.47 +2025-10-31 16:17:10,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.715, mean=-0.06624, std=2.47, absmax=10.11 +2025-10-31 16:17:11,355 ERROR: Encountered non-finite generator loss at iter 1031; skipping update. +2025-10-31 16:17:11,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,359 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,360 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,363 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:11,364 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:11,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.59, mean=-0.2386, std=2.902, absmax=12.59 +2025-10-31 16:17:11,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.688, max=9.986, mean=-0.2234, std=2.411, absmax=9.986 +2025-10-31 16:17:11,860 ERROR: Encountered non-finite generator loss at iter 1032; skipping update. +2025-10-31 16:17:11,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:11,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:11,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:11,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:11,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.8, mean=-0.1838, std=2.868, absmax=13.8 +2025-10-31 16:17:11,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=10.71, mean=-0.2167, std=2.383, absmax=10.71 +2025-10-31 16:17:12,362 ERROR: Encountered non-finite generator loss at iter 1033; skipping update. +2025-10-31 16:17:12,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,365 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,366 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:12,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:12,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.32, mean=-0.2626, std=2.792, absmax=12.32 +2025-10-31 16:17:12,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=7.873, mean=-0.2585, std=2.443, absmax=10.22 +2025-10-31 16:17:12,865 ERROR: Encountered non-finite generator loss at iter 1034; skipping update. +2025-10-31 16:17:12,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:12,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:12,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:12,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:12,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.26, mean=-0.03177, std=3.271, absmax=13.45 +2025-10-31 16:17:12,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.55, mean=-0.04773, std=2.661, absmax=10.55 +2025-10-31 16:17:13,366 ERROR: Encountered non-finite generator loss at iter 1035; skipping update. +2025-10-31 16:17:13,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:13,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:13,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.07, mean=-0.07498, std=3.504, absmax=14.07 +2025-10-31 16:17:13,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=13.07, mean=-0.03638, std=3.09, absmax=13.07 +2025-10-31 16:17:13,870 ERROR: Encountered non-finite generator loss at iter 1036; skipping update. +2025-10-31 16:17:13,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:13,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:13,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:13,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:13,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.34, mean=-0.159, std=2.955, absmax=13.34 +2025-10-31 16:17:13,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.788, max=10.78, mean=-0.1668, std=2.477, absmax=10.78 +2025-10-31 16:17:14,373 ERROR: Encountered non-finite generator loss at iter 1037; skipping update. +2025-10-31 16:17:14,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:14,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:14,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.2, mean=-0.06293, std=2.953, absmax=13.59 +2025-10-31 16:17:14,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.637, mean=-0.07397, std=2.515, absmax=11.36 +2025-10-31 16:17:14,879 ERROR: Encountered non-finite generator loss at iter 1038; skipping update. +2025-10-31 16:17:14,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:14,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:14,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:14,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:14,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.87, mean=-0.2327, std=3.086, absmax=13.24 +2025-10-31 16:17:14,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.244, mean=-0.2136, std=2.625, absmax=10.88 +2025-10-31 16:17:15,379 ERROR: Encountered non-finite generator loss at iter 1039; skipping update. +2025-10-31 16:17:15,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:15,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:15,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.95, mean=-0.1979, std=2.683, absmax=13.95 +2025-10-31 16:17:15,389 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.017, max=7.146, mean=-0.2089, std=2.139, absmax=9.017 +2025-10-31 16:17:15,882 ERROR: Encountered non-finite generator loss at iter 1040; skipping update. +2025-10-31 16:17:15,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:15,889 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:15,890 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:15,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:15,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=18.32, mean=0.1567, std=3.664, absmax=18.32 +2025-10-31 16:17:15,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=15.05, mean=0.16, std=3.058, absmax=15.05 +2025-10-31 16:17:16,386 ERROR: Encountered non-finite generator loss at iter 1041; skipping update. +2025-10-31 16:17:16,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:16,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:16,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=17.72, mean=0.004917, std=3.14, absmax=17.72 +2025-10-31 16:17:16,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.379, max=10.25, mean=-0.07006, std=2.537, absmax=10.25 +2025-10-31 16:17:16,889 ERROR: Encountered non-finite generator loss at iter 1042; skipping update. +2025-10-31 16:17:16,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:16,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:16,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:16,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:16,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.48, mean=-0.09803, std=2.945, absmax=14.48 +2025-10-31 16:17:16,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=12.44, mean=-0.07787, std=2.659, absmax=12.44 +2025-10-31 16:17:17,391 ERROR: Encountered non-finite generator loss at iter 1043; skipping update. +2025-10-31 16:17:17,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:17,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:17,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.06, mean=-0.1016, std=2.869, absmax=13.48 +2025-10-31 16:17:17,400 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.708, max=9.809, mean=-0.118, std=2.266, absmax=9.809 +2025-10-31 16:17:17,893 ERROR: Encountered non-finite generator loss at iter 1044; skipping update. +2025-10-31 16:17:17,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:17,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:17,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:17,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:17,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.31, mean=-0.2403, std=2.686, absmax=12.64 +2025-10-31 16:17:17,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=9.963, mean=-0.2333, std=2.256, absmax=9.963 +2025-10-31 16:17:18,396 ERROR: Encountered non-finite generator loss at iter 1045; skipping update. +2025-10-31 16:17:18,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:18,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:18,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.56, mean=0.1285, std=3.553, absmax=14.61 +2025-10-31 16:17:18,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=12.83, mean=0.03739, std=2.891, absmax=12.83 +2025-10-31 16:17:18,899 ERROR: Encountered non-finite generator loss at iter 1046; skipping update. +2025-10-31 16:17:18,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:18,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:18,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:18,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:18,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=16.15, mean=0.03241, std=3.192, absmax=16.15 +2025-10-31 16:17:18,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=14.41, mean=0.008736, std=2.817, absmax=14.41 +2025-10-31 16:17:19,398 ERROR: Encountered non-finite generator loss at iter 1047; skipping update. +2025-10-31 16:17:19,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:19,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:19,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.74, mean=-0.1318, std=3.047, absmax=14.74 +2025-10-31 16:17:19,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=11.24, mean=-0.1233, std=2.489, absmax=11.24 +2025-10-31 16:17:19,900 ERROR: Encountered non-finite generator loss at iter 1048; skipping update. +2025-10-31 16:17:19,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:19,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:19,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:19,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:19,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=12.97, mean=-0.2712, std=3.193, absmax=14.97 +2025-10-31 16:17:19,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.34, max=8.798, mean=-0.3772, std=2.865, absmax=13.34 +2025-10-31 16:17:20,401 ERROR: Encountered non-finite generator loss at iter 1049; skipping update. +2025-10-31 16:17:20,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:20,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:20,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.22, mean=-0.04415, std=3.52, absmax=14.22 +2025-10-31 16:17:20,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=12.19, mean=-0.08844, std=2.913, absmax=12.19 +2025-10-31 16:17:20,903 ERROR: Encountered non-finite generator loss at iter 1050; skipping update. +2025-10-31 16:17:20,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:20,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:20,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:20,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:20,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=16.13, mean=-0.1238, std=3.435, absmax=16.13 +2025-10-31 16:17:20,912 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=12.4, mean=-0.1425, std=2.712, absmax=12.4 +2025-10-31 16:17:21,404 ERROR: Encountered non-finite generator loss at iter 1051; skipping update. +2025-10-31 16:17:21,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:21,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:21,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.72, mean=-0.1916, std=2.568, absmax=12.83 +2025-10-31 16:17:21,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=7.958, mean=-0.1595, std=2.204, absmax=10.13 +2025-10-31 16:17:21,906 ERROR: Encountered non-finite generator loss at iter 1052; skipping update. +2025-10-31 16:17:21,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:21,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:21,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:21,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:21,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.93, mean=0.02476, std=3.218, absmax=12.93 +2025-10-31 16:17:21,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.34, mean=-0.04735, std=2.737, absmax=10.36 +2025-10-31 16:17:22,408 ERROR: Encountered non-finite generator loss at iter 1053; skipping update. +2025-10-31 16:17:22,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:22,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:22,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.24, mean=-0.2523, std=2.617, absmax=12.56 +2025-10-31 16:17:22,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.874, max=7.255, mean=-0.2654, std=2.28, absmax=9.874 +2025-10-31 16:17:22,911 ERROR: Encountered non-finite generator loss at iter 1054; skipping update. +2025-10-31 16:17:22,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:22,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:22,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:22,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:22,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.8, mean=-0.32, std=2.976, absmax=14.8 +2025-10-31 16:17:22,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=9.888, mean=-0.2964, std=2.482, absmax=11.66 +2025-10-31 16:17:23,414 ERROR: Encountered non-finite generator loss at iter 1055; skipping update. +2025-10-31 16:17:23,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,416 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:23,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:23,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=16.18, mean=-0.07024, std=3.14, absmax=16.18 +2025-10-31 16:17:23,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.875, max=13.37, mean=-0.06871, std=2.6, absmax=13.37 +2025-10-31 16:17:23,915 ERROR: Encountered non-finite generator loss at iter 1056; skipping update. +2025-10-31 16:17:23,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:23,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:23,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:23,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:23,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.4, mean=-0.335, std=2.889, absmax=14 +2025-10-31 16:17:23,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.146, mean=-0.2909, std=2.332, absmax=10.73 +2025-10-31 16:17:24,417 ERROR: Encountered non-finite generator loss at iter 1057; skipping update. +2025-10-31 16:17:24,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:24,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:24,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.92, mean=-0.294, std=2.669, absmax=11.97 +2025-10-31 16:17:24,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.89, mean=-0.2756, std=2.367, absmax=10.89 +2025-10-31 16:17:24,919 ERROR: Encountered non-finite generator loss at iter 1058; skipping update. +2025-10-31 16:17:24,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:24,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:24,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:24,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:24,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=19.64, mean=-0.1215, std=3.312, absmax=19.64 +2025-10-31 16:17:24,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=13.24, mean=-0.1327, std=2.619, absmax=13.24 +2025-10-31 16:17:25,422 ERROR: Encountered non-finite generator loss at iter 1059; skipping update. +2025-10-31 16:17:25,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:25,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:25,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.62, mean=-0.1979, std=2.542, absmax=13.32 +2025-10-31 16:17:25,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.124, max=10.07, mean=-0.2342, std=2.086, absmax=10.07 +2025-10-31 16:17:25,927 ERROR: Encountered non-finite generator loss at iter 1060; skipping update. +2025-10-31 16:17:25,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:25,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:25,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:25,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:25,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=15.61, mean=-0.1642, std=3.034, absmax=15.61 +2025-10-31 16:17:25,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.826, mean=-0.1723, std=2.392, absmax=11.16 +2025-10-31 16:17:26,431 ERROR: Encountered non-finite generator loss at iter 1061; skipping update. +2025-10-31 16:17:26,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:26,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:26,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.19, mean=-0.1167, std=2.876, absmax=12.65 +2025-10-31 16:17:26,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.555, max=8.517, mean=-0.171, std=2.343, absmax=9.555 +2025-10-31 16:17:26,934 ERROR: Encountered non-finite generator loss at iter 1062; skipping update. +2025-10-31 16:17:26,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:26,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:26,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:26,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:26,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.99, mean=-0.1073, std=3.842, absmax=12.99 +2025-10-31 16:17:26,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.679, mean=-0.1475, std=3.205, absmax=10.4 +2025-10-31 16:17:27,438 ERROR: Encountered non-finite generator loss at iter 1063; skipping update. +2025-10-31 16:17:27,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:27,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:27,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=13.6, mean=-0.01597, std=2.904, absmax=15.09 +2025-10-31 16:17:27,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.49, mean=-0.05695, std=2.477, absmax=10.49 +2025-10-31 16:17:27,941 ERROR: Encountered non-finite generator loss at iter 1064; skipping update. +2025-10-31 16:17:27,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:27,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:27,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:27,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:27,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.09, mean=-0.07473, std=3.166, absmax=14.09 +2025-10-31 16:17:27,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.03, mean=-0.1475, std=2.847, absmax=11.68 +2025-10-31 16:17:28,444 ERROR: Encountered non-finite generator loss at iter 1065; skipping update. +2025-10-31 16:17:28,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:28,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:28,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.61, mean=0.01846, std=3.256, absmax=12.61 +2025-10-31 16:17:28,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.553, max=12.11, mean=0.01567, std=2.904, absmax=12.11 +2025-10-31 16:17:28,945 ERROR: Encountered non-finite generator loss at iter 1066; skipping update. +2025-10-31 16:17:28,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:28,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:28,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:28,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:28,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.55, mean=-0.223, std=3.158, absmax=13.83 +2025-10-31 16:17:28,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=10.71, mean=-0.2237, std=2.673, absmax=11.86 +2025-10-31 16:17:29,447 ERROR: Encountered non-finite generator loss at iter 1067; skipping update. +2025-10-31 16:17:29,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:29,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:29,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.97, mean=-0.05531, std=2.99, absmax=12.97 +2025-10-31 16:17:29,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.626, max=10.86, mean=-0.1268, std=2.681, absmax=10.86 +2025-10-31 16:17:29,951 ERROR: Encountered non-finite generator loss at iter 1068; skipping update. +2025-10-31 16:17:29,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,953 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:29,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:29,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:29,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:29,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=10.46, mean=-0.2707, std=3.076, absmax=12.41 +2025-10-31 16:17:29,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=8.606, mean=-0.2944, std=2.59, absmax=10.03 +2025-10-31 16:17:30,454 ERROR: Encountered non-finite generator loss at iter 1069; skipping update. +2025-10-31 16:17:30,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:30,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:30,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.43, max=11.94, mean=-0.08728, std=2.326, absmax=11.94 +2025-10-31 16:17:30,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.632, max=7.076, mean=-0.07689, std=2.071, absmax=8.632 +2025-10-31 16:17:30,958 ERROR: Encountered non-finite generator loss at iter 1070; skipping update. +2025-10-31 16:17:30,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:30,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:30,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:30,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:30,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.39, mean=-0.1234, std=2.963, absmax=14.39 +2025-10-31 16:17:30,968 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=12.33, mean=-0.1298, std=2.583, absmax=12.33 +2025-10-31 16:17:31,461 ERROR: Encountered non-finite generator loss at iter 1071; skipping update. +2025-10-31 16:17:31,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:31,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:31,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=16.08, mean=-0.1934, std=3.085, absmax=16.08 +2025-10-31 16:17:31,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.227, mean=-0.1802, std=2.574, absmax=11.63 +2025-10-31 16:17:31,965 ERROR: Encountered non-finite generator loss at iter 1072; skipping update. +2025-10-31 16:17:31,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:31,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:31,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:31,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:31,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=9.351, mean=-0.3809, std=3.013, absmax=13.39 +2025-10-31 16:17:31,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.24, mean=-0.3187, std=2.705, absmax=11.66 +2025-10-31 16:17:32,469 ERROR: Encountered non-finite generator loss at iter 1073; skipping update. +2025-10-31 16:17:32,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:32,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:32,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.29, mean=-0.06686, std=2.604, absmax=11.51 +2025-10-31 16:17:32,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=7.958, mean=-0.0641, std=2.124, absmax=10.37 +2025-10-31 16:17:32,974 ERROR: Encountered non-finite generator loss at iter 1074; skipping update. +2025-10-31 16:17:32,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:32,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:32,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:32,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:32,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=10.59, mean=-0.1907, std=2.632, absmax=12.62 +2025-10-31 16:17:32,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=7.736, mean=-0.1763, std=2.24, absmax=10.43 +2025-10-31 16:17:33,478 ERROR: Encountered non-finite generator loss at iter 1075; skipping update. +2025-10-31 16:17:33,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,481 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,483 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:33,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:33,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=16.46, mean=0.1225, std=3.541, absmax=16.46 +2025-10-31 16:17:33,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=10.99, mean=0.06922, std=2.835, absmax=10.99 +2025-10-31 16:17:33,981 ERROR: Encountered non-finite generator loss at iter 1076; skipping update. +2025-10-31 16:17:33,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:33,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:33,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:33,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:33,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=13.89, mean=-0.1026, std=2.878, absmax=14.81 +2025-10-31 16:17:33,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.54, mean=-0.0994, std=2.448, absmax=11.27 +2025-10-31 16:17:34,485 ERROR: Encountered non-finite generator loss at iter 1077; skipping update. +2025-10-31 16:17:34,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:34,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:34,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=15.87, mean=-0.1352, std=2.834, absmax=15.87 +2025-10-31 16:17:34,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.263, max=10.3, mean=-0.108, std=2.316, absmax=10.3 +2025-10-31 16:17:34,989 ERROR: Encountered non-finite generator loss at iter 1078; skipping update. +2025-10-31 16:17:34,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:34,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:34,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:34,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:34,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=14.41, mean=-0.2679, std=3.257, absmax=14.41 +2025-10-31 16:17:34,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.812, max=10.25, mean=-0.2568, std=2.636, absmax=10.25 +2025-10-31 16:17:35,493 ERROR: Encountered non-finite generator loss at iter 1079; skipping update. +2025-10-31 16:17:35,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:35,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:35,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:35,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:35,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:35,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:35,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:35,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:35,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.8, mean=-0.2639, std=2.87, absmax=13.35 +2025-10-31 16:17:35,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=9.87, mean=-0.2289, std=2.635, absmax=11.08 +2025-10-31 16:17:35,997 ERROR: Encountered non-finite generator loss at iter 1080; skipping update. +2025-10-31 16:17:35,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:36,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:36,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=11.01, mean=-0.2195, std=3.103, absmax=13.8 +2025-10-31 16:17:36,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=9.735, mean=-0.1886, std=2.716, absmax=11.56 +2025-10-31 16:17:36,502 ERROR: Encountered non-finite generator loss at iter 1081; skipping update. +2025-10-31 16:17:36,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:36,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:36,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:36,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:36,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=11.79, mean=-0.1166, std=2.75, absmax=11.79 +2025-10-31 16:17:36,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=10.19, mean=-0.138, std=2.299, absmax=10.19 +2025-10-31 16:17:37,004 ERROR: Encountered non-finite generator loss at iter 1082; skipping update. +2025-10-31 16:17:37,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:37,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:37,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.41, mean=0.06625, std=3.158, absmax=13.41 +2025-10-31 16:17:37,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.794, max=13.11, mean=0.0643, std=2.721, absmax=13.11 +2025-10-31 16:17:37,510 ERROR: Encountered non-finite generator loss at iter 1083; skipping update. +2025-10-31 16:17:37,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:37,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:37,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:37,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:37,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=14.18, mean=-0.1507, std=2.996, absmax=15.06 +2025-10-31 16:17:37,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.367, max=10.6, mean=-0.1229, std=2.525, absmax=10.6 +2025-10-31 16:17:38,014 ERROR: Encountered non-finite generator loss at iter 1084; skipping update. +2025-10-31 16:17:38,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:38,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:38,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=16.68, mean=-0.06002, std=3.547, absmax=16.68 +2025-10-31 16:17:38,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.45, max=11.64, mean=-0.03646, std=2.991, absmax=11.64 +2025-10-31 16:17:38,524 ERROR: Encountered non-finite generator loss at iter 1085; skipping update. +2025-10-31 16:17:38,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:38,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:38,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:38,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:38,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=12.8, mean=-0.1457, std=2.848, absmax=14.71 +2025-10-31 16:17:38,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=9.222, mean=-0.1623, std=2.439, absmax=12.61 +2025-10-31 16:17:39,028 ERROR: Encountered non-finite generator loss at iter 1086; skipping update. +2025-10-31 16:17:39,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:39,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:39,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=11.66, mean=-0.2257, std=2.666, absmax=11.66 +2025-10-31 16:17:39,038 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=9.759, mean=-0.245, std=2.238, absmax=9.759 +2025-10-31 16:17:39,532 ERROR: Encountered non-finite generator loss at iter 1087; skipping update. +2025-10-31 16:17:39,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:39,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:39,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:39,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:39,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.1, mean=-0.1272, std=3.097, absmax=13.75 +2025-10-31 16:17:39,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.895, mean=-0.1059, std=2.676, absmax=10.12 +2025-10-31 16:17:40,049 ERROR: Encountered non-finite generator loss at iter 1088; skipping update. +2025-10-31 16:17:40,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:40,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:40,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.25, mean=-0.2573, std=2.691, absmax=13.25 +2025-10-31 16:17:40,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=8.629, mean=-0.2984, std=2.401, absmax=9.502 +2025-10-31 16:17:40,553 ERROR: Encountered non-finite generator loss at iter 1089; skipping update. +2025-10-31 16:17:40,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:40,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:40,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:40,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:40,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.79, mean=-0.1248, std=3.077, absmax=13.32 +2025-10-31 16:17:40,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.587, mean=-0.08716, std=2.58, absmax=10.68 +2025-10-31 16:17:41,058 ERROR: Encountered non-finite generator loss at iter 1090; skipping update. +2025-10-31 16:17:41,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:41,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:41,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.53, mean=0.04633, std=3.305, absmax=13.53 +2025-10-31 16:17:41,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=12.96, mean=-0.008727, std=2.729, absmax=12.96 +2025-10-31 16:17:41,560 ERROR: Encountered non-finite generator loss at iter 1091; skipping update. +2025-10-31 16:17:41,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:41,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:41,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:41,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:41,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=14.04, mean=-0.2399, std=3.453, absmax=14.04 +2025-10-31 16:17:41,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.47, mean=-0.2447, std=2.796, absmax=10.78 +2025-10-31 16:17:42,063 ERROR: Encountered non-finite generator loss at iter 1092; skipping update. +2025-10-31 16:17:42,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:42,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:42,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.62, mean=-0.01089, std=2.748, absmax=13.62 +2025-10-31 16:17:42,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.8, mean=-0.06734, std=2.267, absmax=10.09 +2025-10-31 16:17:42,565 ERROR: Encountered non-finite generator loss at iter 1093; skipping update. +2025-10-31 16:17:42,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:42,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:42,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:42,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:42,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.7, mean=-0.2053, std=2.975, absmax=12.7 +2025-10-31 16:17:42,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.539, mean=-0.1851, std=2.418, absmax=10.13 +2025-10-31 16:17:43,069 ERROR: Encountered non-finite generator loss at iter 1094; skipping update. +2025-10-31 16:17:43,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:43,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:43,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=13.02, mean=-0.2822, std=2.91, absmax=15.19 +2025-10-31 16:17:43,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=11.83, mean=-0.211, std=2.471, absmax=11.83 +2025-10-31 16:17:43,574 ERROR: Encountered non-finite generator loss at iter 1095; skipping update. +2025-10-31 16:17:43,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:43,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:43,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:43,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:43,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.08, mean=-0.04563, std=3.124, absmax=14.08 +2025-10-31 16:17:43,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.604, max=10.8, mean=-0.08933, std=2.485, absmax=10.8 +2025-10-31 16:17:44,078 ERROR: Encountered non-finite generator loss at iter 1096; skipping update. +2025-10-31 16:17:44,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:44,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:44,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.84, mean=-0.1605, std=2.592, absmax=12.87 +2025-10-31 16:17:44,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=8.929, mean=-0.1731, std=2.226, absmax=11.02 +2025-10-31 16:17:44,581 ERROR: Encountered non-finite generator loss at iter 1097; skipping update. +2025-10-31 16:17:44,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:44,585 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:44,586 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:44,587 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:44,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=15.57, mean=-0.06321, std=3.103, absmax=15.57 +2025-10-31 16:17:44,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=13.43, mean=-0.07746, std=2.749, absmax=13.43 +2025-10-31 16:17:45,080 ERROR: Encountered non-finite generator loss at iter 1098; skipping update. +2025-10-31 16:17:45,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:45,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:45,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=11.39, mean=-0.1922, std=3.266, absmax=14.9 +2025-10-31 16:17:45,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=8.804, mean=-0.1616, std=2.818, absmax=11.29 +2025-10-31 16:17:45,581 ERROR: Encountered non-finite generator loss at iter 1099; skipping update. +2025-10-31 16:17:45,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:45,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:45,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:45,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:45,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.41, mean=-0.3367, std=2.734, absmax=13.41 +2025-10-31 16:17:45,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.701, max=9.224, mean=-0.3005, std=2.329, absmax=9.224 +2025-10-31 16:17:46,083 ERROR: Encountered non-finite generator loss at iter 1100; skipping update. +2025-10-31 16:17:46,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:46,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:46,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.5, mean=-0.2663, std=2.869, absmax=12.5 +2025-10-31 16:17:46,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.186, max=11.35, mean=-0.2475, std=2.383, absmax=11.35 +2025-10-31 16:17:46,093 INFO: [29..][epoch: 0, step: 1,100, lr:(1.500e-04,)] [eta: 2 days, 3:49:39, time (data): 0.503 (0.000)] +2025-10-31 16:17:46,584 ERROR: Encountered non-finite generator loss at iter 1101; skipping update. +2025-10-31 16:17:46,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,588 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,589 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:46,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:46,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:46,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:46,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.35, mean=0.1228, std=3.524, absmax=13.35 +2025-10-31 16:17:46,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=10.48, mean=0.05818, std=2.838, absmax=10.48 +2025-10-31 16:17:47,085 ERROR: Encountered non-finite generator loss at iter 1102; skipping update. +2025-10-31 16:17:47,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:47,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:47,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.16, mean=-0.1143, std=2.518, absmax=12.16 +2025-10-31 16:17:47,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.557, max=8.851, mean=-0.127, std=2.123, absmax=9.557 +2025-10-31 16:17:47,585 ERROR: Encountered non-finite generator loss at iter 1103; skipping update. +2025-10-31 16:17:47,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,588 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,589 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:47,590 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:47,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:47,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:47,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=14.35, mean=-0.07213, std=3.842, absmax=15.49 +2025-10-31 16:17:47,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.04, mean=-0.06238, std=3.214, absmax=11.22 +2025-10-31 16:17:48,086 ERROR: Encountered non-finite generator loss at iter 1104; skipping update. +2025-10-31 16:17:48,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,089 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:48,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:48,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.98, mean=0.001113, std=3.244, absmax=15.98 +2025-10-31 16:17:48,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.879, max=11.27, mean=-0.02813, std=2.62, absmax=11.27 +2025-10-31 16:17:48,587 ERROR: Encountered non-finite generator loss at iter 1105; skipping update. +2025-10-31 16:17:48,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:48,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:48,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:48,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:48,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.77, mean=-0.01088, std=3.406, absmax=13.77 +2025-10-31 16:17:48,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.29, mean=-0.09252, std=2.757, absmax=11.11 +2025-10-31 16:17:49,087 ERROR: Encountered non-finite generator loss at iter 1106; skipping update. +2025-10-31 16:17:49,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:49,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:49,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=9.938, mean=-0.315, std=2.703, absmax=12.3 +2025-10-31 16:17:49,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=7.492, mean=-0.3574, std=2.272, absmax=10.62 +2025-10-31 16:17:49,591 ERROR: Encountered non-finite generator loss at iter 1107; skipping update. +2025-10-31 16:17:49,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:49,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:49,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:49,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:49,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=14.42, mean=0.1679, std=3.767, absmax=15.54 +2025-10-31 16:17:49,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.06, mean=0.145, std=3.073, absmax=12.06 +2025-10-31 16:17:50,091 ERROR: Encountered non-finite generator loss at iter 1108; skipping update. +2025-10-31 16:17:50,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:50,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:50,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=14, mean=0.1205, std=3.911, absmax=14.94 +2025-10-31 16:17:50,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=14.37, mean=0.161, std=3.542, absmax=14.37 +2025-10-31 16:17:50,593 ERROR: Encountered non-finite generator loss at iter 1109; skipping update. +2025-10-31 16:17:50,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:50,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:50,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:50,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:50,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=16, mean=-0.1817, std=2.85, absmax=16 +2025-10-31 16:17:50,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=12.95, mean=-0.1885, std=2.321, absmax=12.95 +2025-10-31 16:17:51,095 ERROR: Encountered non-finite generator loss at iter 1110; skipping update. +2025-10-31 16:17:51,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:51,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:51,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.1, mean=-0.3938, std=3.002, absmax=13.1 +2025-10-31 16:17:51,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.953, max=9.463, mean=-0.3502, std=2.428, absmax=9.463 +2025-10-31 16:17:51,596 ERROR: Encountered non-finite generator loss at iter 1111; skipping update. +2025-10-31 16:17:51,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:51,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:51,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:51,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:51,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.97, mean=-0.361, std=2.879, absmax=13.76 +2025-10-31 16:17:51,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=8.363, mean=-0.3214, std=2.435, absmax=11.1 +2025-10-31 16:17:52,096 ERROR: Encountered non-finite generator loss at iter 1112; skipping update. +2025-10-31 16:17:52,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:52,103 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:52,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.54, mean=-0.06128, std=3.667, absmax=13.54 +2025-10-31 16:17:52,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.88, mean=-0.0952, std=3.098, absmax=11.39 +2025-10-31 16:17:52,597 ERROR: Encountered non-finite generator loss at iter 1113; skipping update. +2025-10-31 16:17:52,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:52,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:52,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:52,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:52,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=14.14, mean=-0.09263, std=3.665, absmax=14.56 +2025-10-31 16:17:52,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.53, max=11.29, mean=-0.09434, std=3.067, absmax=13.53 +2025-10-31 16:17:53,102 ERROR: Encountered non-finite generator loss at iter 1114; skipping update. +2025-10-31 16:17:53,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:53,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:53,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=16.07, mean=-0.2255, std=3.717, absmax=16.07 +2025-10-31 16:17:53,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=12.11, mean=-0.1876, std=3.127, absmax=12.11 +2025-10-31 16:17:53,604 ERROR: Encountered non-finite generator loss at iter 1115; skipping update. +2025-10-31 16:17:53,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:53,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:53,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:53,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:53,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.34, mean=-0.2837, std=2.815, absmax=11.59 +2025-10-31 16:17:53,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.275, max=8.17, mean=-0.2713, std=2.361, absmax=9.275 +2025-10-31 16:17:54,107 ERROR: Encountered non-finite generator loss at iter 1116; skipping update. +2025-10-31 16:17:54,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:54,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:54,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=13, mean=-0.1061, std=3.101, absmax=14.4 +2025-10-31 16:17:54,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=11.27, mean=-0.1157, std=2.639, absmax=11.27 +2025-10-31 16:17:54,610 ERROR: Encountered non-finite generator loss at iter 1117; skipping update. +2025-10-31 16:17:54,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:54,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:54,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:54,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:54,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.47, mean=-0.2052, std=2.964, absmax=12.35 +2025-10-31 16:17:54,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=9.375, mean=-0.1662, std=2.582, absmax=9.699 +2025-10-31 16:17:55,113 ERROR: Encountered non-finite generator loss at iter 1118; skipping update. +2025-10-31 16:17:55,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,118 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:55,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:55,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.74, mean=-0.1543, std=3.066, absmax=12.74 +2025-10-31 16:17:55,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.67, mean=-0.1149, std=2.621, absmax=11.67 +2025-10-31 16:17:55,615 ERROR: Encountered non-finite generator loss at iter 1119; skipping update. +2025-10-31 16:17:55,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:55,622 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:55,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:55,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:55,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.47, mean=-0.1155, std=2.814, absmax=12.47 +2025-10-31 16:17:55,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.542, max=9.748, mean=-0.1495, std=2.35, absmax=9.748 +2025-10-31 16:17:56,124 ERROR: Encountered non-finite generator loss at iter 1120; skipping update. +2025-10-31 16:17:56,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:56,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:56,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=14.31, mean=-0.188, std=3.219, absmax=15.21 +2025-10-31 16:17:56,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.63, max=9.977, mean=-0.1954, std=2.935, absmax=12.63 +2025-10-31 16:17:56,629 ERROR: Encountered non-finite generator loss at iter 1121; skipping update. +2025-10-31 16:17:56,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:56,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:56,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:56,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:56,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.3, mean=-0.4046, std=2.759, absmax=13.3 +2025-10-31 16:17:56,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.511, max=9.239, mean=-0.3586, std=2.405, absmax=9.511 +2025-10-31 16:17:57,130 ERROR: Encountered non-finite generator loss at iter 1122; skipping update. +2025-10-31 16:17:57,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:57,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:57,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=13.64, mean=0.004965, std=3.673, absmax=14.89 +2025-10-31 16:17:57,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.69, max=11.66, mean=-0.006746, std=3.257, absmax=12.69 +2025-10-31 16:17:57,632 ERROR: Encountered non-finite generator loss at iter 1123; skipping update. +2025-10-31 16:17:57,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:57,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:57,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:57,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:57,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.06, mean=0.00545, std=3.316, absmax=14.06 +2025-10-31 16:17:57,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.71, mean=-0.03745, std=2.664, absmax=10.71 +2025-10-31 16:17:58,133 ERROR: Encountered non-finite generator loss at iter 1124; skipping update. +2025-10-31 16:17:58,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:58,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:58,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.43, mean=-0.3686, std=3.032, absmax=13.79 +2025-10-31 16:17:58,142 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=9.447, mean=-0.3525, std=2.661, absmax=12.4 +2025-10-31 16:17:58,633 ERROR: Encountered non-finite generator loss at iter 1125; skipping update. +2025-10-31 16:17:58,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:58,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:58,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:58,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:58,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.63, mean=-0.1773, std=2.754, absmax=13.7 +2025-10-31 16:17:58,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.634, max=10.41, mean=-0.1601, std=2.366, absmax=10.41 +2025-10-31 16:17:59,134 ERROR: Encountered non-finite generator loss at iter 1126; skipping update. +2025-10-31 16:17:59,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:59,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:59,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=15.12, mean=0.2075, std=3.525, absmax=15.12 +2025-10-31 16:17:59,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.457, max=11.07, mean=0.1547, std=2.85, absmax=11.07 +2025-10-31 16:17:59,634 ERROR: Encountered non-finite generator loss at iter 1127; skipping update. +2025-10-31 16:17:59,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:17:59,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:17:59,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:17:59,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:17:59,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.8, mean=0.04448, std=3.93, absmax=13.8 +2025-10-31 16:17:59,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=12.03, mean=0.03601, std=3.41, absmax=12.14 +2025-10-31 16:18:00,135 ERROR: Encountered non-finite generator loss at iter 1128; skipping update. +2025-10-31 16:18:00,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:00,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:00,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.75, mean=0.04063, std=3.205, absmax=13.75 +2025-10-31 16:18:00,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.48, mean=0.02231, std=2.716, absmax=11.48 +2025-10-31 16:18:00,635 ERROR: Encountered non-finite generator loss at iter 1129; skipping update. +2025-10-31 16:18:00,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:00,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:00,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:00,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:00,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.63, mean=-0.08545, std=2.969, absmax=14.63 +2025-10-31 16:18:00,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=12.64, mean=-0.07774, std=2.482, absmax=12.64 +2025-10-31 16:18:01,135 ERROR: Encountered non-finite generator loss at iter 1130; skipping update. +2025-10-31 16:18:01,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:01,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:01,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.88, mean=-0.08331, std=2.921, absmax=12.37 +2025-10-31 16:18:01,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.327, max=9.382, mean=-0.1228, std=2.331, absmax=9.382 +2025-10-31 16:18:01,635 ERROR: Encountered non-finite generator loss at iter 1131; skipping update. +2025-10-31 16:18:01,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:01,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:01,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:01,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:01,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13, mean=-0.1694, std=2.99, absmax=13 +2025-10-31 16:18:01,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.91, mean=-0.1275, std=2.465, absmax=10.91 +2025-10-31 16:18:02,135 ERROR: Encountered non-finite generator loss at iter 1132; skipping update. +2025-10-31 16:18:02,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:02,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:02,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=15.28, mean=-0.09559, std=3.333, absmax=15.28 +2025-10-31 16:18:02,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=12.02, mean=-0.06238, std=2.941, absmax=12.02 +2025-10-31 16:18:02,635 ERROR: Encountered non-finite generator loss at iter 1133; skipping update. +2025-10-31 16:18:02,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:02,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:02,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:02,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:02,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.49, mean=-0.1725, std=2.843, absmax=12.49 +2025-10-31 16:18:02,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.563, max=9.518, mean=-0.164, std=2.38, absmax=9.563 +2025-10-31 16:18:03,136 ERROR: Encountered non-finite generator loss at iter 1134; skipping update. +2025-10-31 16:18:03,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:03,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:03,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=9.436, mean=-0.2647, std=2.62, absmax=12.9 +2025-10-31 16:18:03,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.252, mean=-0.2892, std=2.429, absmax=10.44 +2025-10-31 16:18:03,636 ERROR: Encountered non-finite generator loss at iter 1135; skipping update. +2025-10-31 16:18:03,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:03,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:03,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:03,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:03,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.71, mean=-0.1603, std=3.076, absmax=13.71 +2025-10-31 16:18:03,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.48, mean=-0.1265, std=2.624, absmax=11.48 +2025-10-31 16:18:04,136 ERROR: Encountered non-finite generator loss at iter 1136; skipping update. +2025-10-31 16:18:04,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:04,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:04,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.85, mean=-0.2046, std=2.265, absmax=12.95 +2025-10-31 16:18:04,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.453, max=9.792, mean=-0.1754, std=1.992, absmax=9.792 +2025-10-31 16:18:04,637 ERROR: Encountered non-finite generator loss at iter 1137; skipping update. +2025-10-31 16:18:04,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:04,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:04,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:04,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:04,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=11.24, mean=-0.2819, std=2.735, absmax=15.17 +2025-10-31 16:18:04,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=9.399, mean=-0.3158, std=2.378, absmax=12.39 +2025-10-31 16:18:05,136 ERROR: Encountered non-finite generator loss at iter 1138; skipping update. +2025-10-31 16:18:05,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:05,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:05,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.52, mean=-0.1627, std=3.227, absmax=13.52 +2025-10-31 16:18:05,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.35, mean=-0.1342, std=2.602, absmax=10.36 +2025-10-31 16:18:05,635 ERROR: Encountered non-finite generator loss at iter 1139; skipping update. +2025-10-31 16:18:05,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:05,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:05,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:05,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:05,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.49, mean=0.2211, std=3.663, absmax=13.49 +2025-10-31 16:18:05,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.892, max=12.28, mean=0.2174, std=3.228, absmax=12.28 +2025-10-31 16:18:06,136 ERROR: Encountered non-finite generator loss at iter 1140; skipping update. +2025-10-31 16:18:06,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:06,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:06,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.18, mean=-0.2507, std=2.64, absmax=12.09 +2025-10-31 16:18:06,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.435, max=8.528, mean=-0.2201, std=2.338, absmax=9.435 +2025-10-31 16:18:06,638 ERROR: Encountered non-finite generator loss at iter 1141; skipping update. +2025-10-31 16:18:06,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,642 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:06,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:06,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:06,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:06,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.11, mean=-0.1947, std=2.67, absmax=12.14 +2025-10-31 16:18:06,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.653, max=9.174, mean=-0.1714, std=2.237, absmax=9.653 +2025-10-31 16:18:07,137 ERROR: Encountered non-finite generator loss at iter 1142; skipping update. +2025-10-31 16:18:07,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:07,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:07,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.62, mean=0.02368, std=3.153, absmax=13.62 +2025-10-31 16:18:07,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.93, mean=0.08347, std=2.736, absmax=10.93 +2025-10-31 16:18:07,642 ERROR: Encountered non-finite generator loss at iter 1143; skipping update. +2025-10-31 16:18:07,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:07,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:07,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:07,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:07,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=14.46, mean=-0.1465, std=2.923, absmax=14.46 +2025-10-31 16:18:07,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.456, max=11.02, mean=-0.1277, std=2.518, absmax=11.02 +2025-10-31 16:18:08,149 ERROR: Encountered non-finite generator loss at iter 1144; skipping update. +2025-10-31 16:18:08,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:08,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:08,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=13.82, mean=-0.2127, std=3.63, absmax=14.48 +2025-10-31 16:18:08,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=12.16, mean=-0.2203, std=2.969, absmax=12.16 +2025-10-31 16:18:08,650 ERROR: Encountered non-finite generator loss at iter 1145; skipping update. +2025-10-31 16:18:08,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:08,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:08,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:08,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:08,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.44, mean=-0.1726, std=2.455, absmax=12.88 +2025-10-31 16:18:08,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.926, max=8.874, mean=-0.1652, std=1.941, absmax=8.874 +2025-10-31 16:18:09,154 ERROR: Encountered non-finite generator loss at iter 1146; skipping update. +2025-10-31 16:18:09,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:09,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:09,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.77, mean=-0.1777, std=3.079, absmax=13.29 +2025-10-31 16:18:09,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.192, mean=-0.2438, std=2.509, absmax=10.84 +2025-10-31 16:18:09,657 ERROR: Encountered non-finite generator loss at iter 1147; skipping update. +2025-10-31 16:18:09,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:09,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:09,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:09,666 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:09,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=14.4, mean=-0.09896, std=2.732, absmax=14.4 +2025-10-31 16:18:09,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.326, max=10.65, mean=-0.06136, std=2.338, absmax=10.65 +2025-10-31 16:18:10,167 ERROR: Encountered non-finite generator loss at iter 1148; skipping update. +2025-10-31 16:18:10,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,172 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:10,173 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:10,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.75, mean=-0.182, std=2.848, absmax=12.25 +2025-10-31 16:18:10,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.631, max=9.306, mean=-0.1961, std=2.296, absmax=9.306 +2025-10-31 16:18:10,667 ERROR: Encountered non-finite generator loss at iter 1149; skipping update. +2025-10-31 16:18:10,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:10,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:10,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:10,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:10,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.88, mean=-0.1674, std=3.001, absmax=12.88 +2025-10-31 16:18:10,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.687, mean=-0.1552, std=2.631, absmax=10.25 +2025-10-31 16:18:11,174 ERROR: Encountered non-finite generator loss at iter 1150; skipping update. +2025-10-31 16:18:11,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:11,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:11,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=11.94, mean=-0.211, std=2.442, absmax=11.94 +2025-10-31 16:18:11,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.107, max=9.769, mean=-0.2065, std=2.094, absmax=9.769 +2025-10-31 16:18:11,676 ERROR: Encountered non-finite generator loss at iter 1151; skipping update. +2025-10-31 16:18:11,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:11,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:11,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:11,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:11,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=15.01, mean=0.1867, std=3.528, absmax=15.81 +2025-10-31 16:18:11,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.55, max=12.93, mean=0.1897, std=2.998, absmax=12.93 +2025-10-31 16:18:12,184 ERROR: Encountered non-finite generator loss at iter 1152; skipping update. +2025-10-31 16:18:12,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:12,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:12,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=15.73, mean=-0.02819, std=3.754, absmax=15.73 +2025-10-31 16:18:12,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=14.72, mean=-0.02909, std=3.412, absmax=14.72 +2025-10-31 16:18:12,687 ERROR: Encountered non-finite generator loss at iter 1153; skipping update. +2025-10-31 16:18:12,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:12,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:12,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:12,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:12,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=15.09, mean=-0.1264, std=2.983, absmax=15.09 +2025-10-31 16:18:12,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.564, max=10.55, mean=-0.08972, std=2.37, absmax=10.55 +2025-10-31 16:18:13,196 ERROR: Encountered non-finite generator loss at iter 1154; skipping update. +2025-10-31 16:18:13,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:13,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:13,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.37, mean=-0.02673, std=2.975, absmax=14.37 +2025-10-31 16:18:13,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.114, max=9.352, mean=-0.01566, std=2.45, absmax=9.352 +2025-10-31 16:18:13,698 ERROR: Encountered non-finite generator loss at iter 1155; skipping update. +2025-10-31 16:18:13,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:13,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:13,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:13,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:13,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.29, mean=-0.1505, std=2.731, absmax=11.35 +2025-10-31 16:18:13,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.558, max=8.554, mean=-0.1656, std=2.288, absmax=8.558 +2025-10-31 16:18:14,212 ERROR: Encountered non-finite generator loss at iter 1156; skipping update. +2025-10-31 16:18:14,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:14,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:14,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.83, mean=-0.1722, std=3.091, absmax=15.83 +2025-10-31 16:18:14,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=12.77, mean=-0.1743, std=2.566, absmax=12.77 +2025-10-31 16:18:14,712 ERROR: Encountered non-finite generator loss at iter 1157; skipping update. +2025-10-31 16:18:14,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:14,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:14,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:14,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:14,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.14, mean=-0.08329, std=2.951, absmax=12.48 +2025-10-31 16:18:14,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.403, max=9.489, mean=-0.07193, std=2.389, absmax=9.489 +2025-10-31 16:18:15,218 ERROR: Encountered non-finite generator loss at iter 1158; skipping update. +2025-10-31 16:18:15,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,219 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:15,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:15,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.84, max=13.16, mean=-0.2369, std=3.717, absmax=15.84 +2025-10-31 16:18:15,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.4, max=10.65, mean=-0.2384, std=3.266, absmax=13.4 +2025-10-31 16:18:15,717 ERROR: Encountered non-finite generator loss at iter 1159; skipping update. +2025-10-31 16:18:15,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:15,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:15,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:15,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:15,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.93, max=12.35, mean=-0.161, std=2.522, absmax=15.93 +2025-10-31 16:18:15,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=8.096, mean=-0.1392, std=2.16, absmax=9.158 +2025-10-31 16:18:16,222 ERROR: Encountered non-finite generator loss at iter 1160; skipping update. +2025-10-31 16:18:16,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:16,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:16,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.8, mean=-0.2025, std=2.782, absmax=14.8 +2025-10-31 16:18:16,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=12.72, mean=-0.1662, std=2.386, absmax=12.72 +2025-10-31 16:18:16,724 ERROR: Encountered non-finite generator loss at iter 1161; skipping update. +2025-10-31 16:18:16,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:16,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:16,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:16,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:16,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=15.11, mean=-0.02766, std=3.333, absmax=15.11 +2025-10-31 16:18:16,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.31, mean=-0.04364, std=2.541, absmax=11.12 +2025-10-31 16:18:17,228 ERROR: Encountered non-finite generator loss at iter 1162; skipping update. +2025-10-31 16:18:17,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:17,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:17,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=11.68, mean=0.06508, std=3.019, absmax=11.68 +2025-10-31 16:18:17,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.96, max=10.53, mean=0.04393, std=2.644, absmax=10.53 +2025-10-31 16:18:17,730 ERROR: Encountered non-finite generator loss at iter 1163; skipping update. +2025-10-31 16:18:17,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:17,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:17,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:17,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:17,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.03, mean=-0.09906, std=2.842, absmax=15.03 +2025-10-31 16:18:17,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.653, max=10.3, mean=-0.07338, std=2.493, absmax=10.3 +2025-10-31 16:18:18,239 ERROR: Encountered non-finite generator loss at iter 1164; skipping update. +2025-10-31 16:18:18,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:18,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:18,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.27, mean=-0.1804, std=2.862, absmax=12.9 +2025-10-31 16:18:18,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=9.33, mean=-0.2046, std=2.579, absmax=12.05 +2025-10-31 16:18:18,740 ERROR: Encountered non-finite generator loss at iter 1165; skipping update. +2025-10-31 16:18:18,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:18,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:18,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:18,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:18,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=10.09, mean=-0.1325, std=2.449, absmax=11.48 +2025-10-31 16:18:18,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=7.619, mean=-0.1556, std=2.116, absmax=10.48 +2025-10-31 16:18:19,245 ERROR: Encountered non-finite generator loss at iter 1166; skipping update. +2025-10-31 16:18:19,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:19,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:19,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.89, mean=-0.3309, std=3.099, absmax=12.51 +2025-10-31 16:18:19,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.727, max=8.292, mean=-0.2695, std=2.559, absmax=9.727 +2025-10-31 16:18:19,747 ERROR: Encountered non-finite generator loss at iter 1167; skipping update. +2025-10-31 16:18:19,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:19,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:19,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:19,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:19,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.6, mean=0.03304, std=3.132, absmax=13.6 +2025-10-31 16:18:19,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.904, max=10.89, mean=0.01276, std=2.588, absmax=10.89 +2025-10-31 16:18:20,254 ERROR: Encountered non-finite generator loss at iter 1168; skipping update. +2025-10-31 16:18:20,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:20,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:20,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.13, mean=-0.3023, std=3.532, absmax=13.35 +2025-10-31 16:18:20,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=9.955, mean=-0.2924, std=2.924, absmax=11.08 +2025-10-31 16:18:20,755 ERROR: Encountered non-finite generator loss at iter 1169; skipping update. +2025-10-31 16:18:20,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:20,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:20,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:20,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:20,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.26, mean=0.003934, std=2.943, absmax=11.45 +2025-10-31 16:18:20,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.64, mean=0.0255, std=2.784, absmax=11.64 +2025-10-31 16:18:21,260 ERROR: Encountered non-finite generator loss at iter 1170; skipping update. +2025-10-31 16:18:21,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:21,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:21,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.63, mean=-0.06152, std=2.968, absmax=12.77 +2025-10-31 16:18:21,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=8.819, mean=-0.07457, std=2.511, absmax=11.6 +2025-10-31 16:18:21,761 ERROR: Encountered non-finite generator loss at iter 1171; skipping update. +2025-10-31 16:18:21,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:21,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:21,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:21,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:21,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.66, mean=0.02395, std=3.436, absmax=14.69 +2025-10-31 16:18:21,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=13.4, mean=0.0463, std=3.14, absmax=13.4 +2025-10-31 16:18:22,266 ERROR: Encountered non-finite generator loss at iter 1172; skipping update. +2025-10-31 16:18:22,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,273 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:22,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:22,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.05, mean=-0.1385, std=3.054, absmax=13.73 +2025-10-31 16:18:22,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.744, max=9.466, mean=-0.1707, std=2.532, absmax=9.744 +2025-10-31 16:18:22,768 ERROR: Encountered non-finite generator loss at iter 1173; skipping update. +2025-10-31 16:18:22,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:22,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:22,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:22,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:22,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=14.78, mean=-0.1943, std=3.009, absmax=15.27 +2025-10-31 16:18:22,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=8.895, mean=-0.1485, std=2.572, absmax=12.07 +2025-10-31 16:18:23,272 ERROR: Encountered non-finite generator loss at iter 1174; skipping update. +2025-10-31 16:18:23,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:23,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:23,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.7, mean=-0.2676, std=2.515, absmax=12.7 +2025-10-31 16:18:23,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.165, max=8.936, mean=-0.3238, std=2.094, absmax=8.936 +2025-10-31 16:18:23,777 ERROR: Encountered non-finite generator loss at iter 1175; skipping update. +2025-10-31 16:18:23,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:23,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:23,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:23,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:23,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.13, mean=-0.2562, std=2.747, absmax=13.13 +2025-10-31 16:18:23,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.834, max=8.344, mean=-0.2109, std=2.272, absmax=8.834 +2025-10-31 16:18:24,283 ERROR: Encountered non-finite generator loss at iter 1176; skipping update. +2025-10-31 16:18:24,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:24,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:24,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.78, mean=0.07197, std=3.528, absmax=14.78 +2025-10-31 16:18:24,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=13.15, mean=0.1098, std=3.066, absmax=13.15 +2025-10-31 16:18:24,785 ERROR: Encountered non-finite generator loss at iter 1177; skipping update. +2025-10-31 16:18:24,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:24,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:24,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:24,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:24,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.32, mean=-0.1977, std=2.571, absmax=13.32 +2025-10-31 16:18:24,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=8.666, mean=-0.1958, std=2.18, absmax=9.376 +2025-10-31 16:18:25,295 ERROR: Encountered non-finite generator loss at iter 1178; skipping update. +2025-10-31 16:18:25,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,298 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,301 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:25,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:25,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.16, mean=-0.1994, std=3.56, absmax=14.16 +2025-10-31 16:18:25,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.777, mean=-0.1926, std=2.977, absmax=10.16 +2025-10-31 16:18:25,798 ERROR: Encountered non-finite generator loss at iter 1179; skipping update. +2025-10-31 16:18:25,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:25,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:25,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:25,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:25,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.03, mean=-0.04713, std=3.11, absmax=14.03 +2025-10-31 16:18:25,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.81, mean=-0.05581, std=2.584, absmax=10.81 +2025-10-31 16:18:26,306 ERROR: Encountered non-finite generator loss at iter 1180; skipping update. +2025-10-31 16:18:26,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:26,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:26,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.85, mean=-0.01525, std=3.624, absmax=12.85 +2025-10-31 16:18:26,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.63, mean=-0.02038, std=2.975, absmax=10.71 +2025-10-31 16:18:26,810 ERROR: Encountered non-finite generator loss at iter 1181; skipping update. +2025-10-31 16:18:26,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,813 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:26,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:26,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:26,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:26,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.92, max=15.52, mean=-0.07702, std=3.903, absmax=16.92 +2025-10-31 16:18:26,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13, max=14.49, mean=-0.04668, std=3.444, absmax=14.49 +2025-10-31 16:18:27,322 ERROR: Encountered non-finite generator loss at iter 1182; skipping update. +2025-10-31 16:18:27,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:27,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:27,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.17, mean=-0.1706, std=3.02, absmax=14.17 +2025-10-31 16:18:27,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.658, mean=-0.1595, std=2.53, absmax=10.02 +2025-10-31 16:18:27,826 ERROR: Encountered non-finite generator loss at iter 1183; skipping update. +2025-10-31 16:18:27,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:27,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:27,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:27,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:27,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.26, mean=-0.1871, std=3.096, absmax=14.26 +2025-10-31 16:18:27,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.07, mean=-0.2465, std=2.714, absmax=11.07 +2025-10-31 16:18:28,334 ERROR: Encountered non-finite generator loss at iter 1184; skipping update. +2025-10-31 16:18:28,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:28,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:28,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.6, mean=-0.1132, std=3.031, absmax=12.6 +2025-10-31 16:18:28,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.4, max=9.537, mean=-0.1343, std=2.499, absmax=9.537 +2025-10-31 16:18:28,838 ERROR: Encountered non-finite generator loss at iter 1185; skipping update. +2025-10-31 16:18:28,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:28,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:28,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:28,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:28,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.75, mean=-0.2334, std=2.713, absmax=12.19 +2025-10-31 16:18:28,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.613, max=7.944, mean=-0.2243, std=2.303, absmax=9.613 +2025-10-31 16:18:29,344 ERROR: Encountered non-finite generator loss at iter 1186; skipping update. +2025-10-31 16:18:29,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:29,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:29,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=18.75, mean=-0.2108, std=3.359, absmax=18.75 +2025-10-31 16:18:29,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.75, max=9.508, mean=-0.1907, std=2.776, absmax=12.75 +2025-10-31 16:18:29,846 ERROR: Encountered non-finite generator loss at iter 1187; skipping update. +2025-10-31 16:18:29,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:29,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:29,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:29,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:29,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.41, mean=-0.2257, std=2.889, absmax=12.44 +2025-10-31 16:18:29,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.279, max=9.132, mean=-0.162, std=2.411, absmax=9.279 +2025-10-31 16:18:30,355 ERROR: Encountered non-finite generator loss at iter 1188; skipping update. +2025-10-31 16:18:30,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:30,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:30,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=14.51, mean=-0.08861, std=2.951, absmax=14.51 +2025-10-31 16:18:30,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.626, max=8.773, mean=-0.0935, std=2.303, absmax=9.626 +2025-10-31 16:18:30,859 ERROR: Encountered non-finite generator loss at iter 1189; skipping update. +2025-10-31 16:18:30,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:30,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:30,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:30,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:30,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=14.13, mean=0.008296, std=3.318, absmax=14.67 +2025-10-31 16:18:30,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=12.55, mean=-0.05914, std=2.953, absmax=12.55 +2025-10-31 16:18:31,366 ERROR: Encountered non-finite generator loss at iter 1190; skipping update. +2025-10-31 16:18:31,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:31,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:31,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.22, mean=0.1544, std=3.647, absmax=14.22 +2025-10-31 16:18:31,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=13.91, mean=0.1047, std=3.212, absmax=13.91 +2025-10-31 16:18:31,870 ERROR: Encountered non-finite generator loss at iter 1191; skipping update. +2025-10-31 16:18:31,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:31,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:31,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:31,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:31,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.18, mean=-0.2836, std=2.678, absmax=13.2 +2025-10-31 16:18:31,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=8.145, mean=-0.3307, std=2.349, absmax=11.33 +2025-10-31 16:18:32,380 ERROR: Encountered non-finite generator loss at iter 1192; skipping update. +2025-10-31 16:18:32,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:32,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:32,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.8, mean=-0.2505, std=2.634, absmax=12.8 +2025-10-31 16:18:32,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.23, max=9.272, mean=-0.2231, std=2.328, absmax=9.272 +2025-10-31 16:18:32,883 ERROR: Encountered non-finite generator loss at iter 1193; skipping update. +2025-10-31 16:18:32,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,886 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:32,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:32,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:32,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:32,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.1, mean=-0.109, std=3.252, absmax=14.1 +2025-10-31 16:18:32,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=10.67, mean=-0.1424, std=2.643, absmax=11.4 +2025-10-31 16:18:33,391 ERROR: Encountered non-finite generator loss at iter 1194; skipping update. +2025-10-31 16:18:33,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:33,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:33,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=9.83, mean=-0.246, std=2.519, absmax=11.59 +2025-10-31 16:18:33,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.346, mean=-0.1863, std=2.339, absmax=10.09 +2025-10-31 16:18:33,896 ERROR: Encountered non-finite generator loss at iter 1195; skipping update. +2025-10-31 16:18:33,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:33,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:33,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:33,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:33,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=17.39, mean=-0.08239, std=3.387, absmax=17.39 +2025-10-31 16:18:33,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.82, mean=-0.1798, std=2.826, absmax=10.9 +2025-10-31 16:18:34,400 ERROR: Encountered non-finite generator loss at iter 1196; skipping update. +2025-10-31 16:18:34,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,405 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,406 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:34,407 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:34,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=11.37, mean=-0.2873, std=3.116, absmax=13.53 +2025-10-31 16:18:34,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.531, mean=-0.2888, std=2.656, absmax=11.21 +2025-10-31 16:18:34,903 ERROR: Encountered non-finite generator loss at iter 1197; skipping update. +2025-10-31 16:18:34,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:34,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:34,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:34,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:34,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.14, mean=-0.0745, std=2.911, absmax=12.14 +2025-10-31 16:18:34,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.622, max=10.38, mean=-0.1164, std=2.483, absmax=10.38 +2025-10-31 16:18:35,411 ERROR: Encountered non-finite generator loss at iter 1198; skipping update. +2025-10-31 16:18:35,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:35,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:35,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=15.09, mean=-0.08788, std=3.655, absmax=15.09 +2025-10-31 16:18:35,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=12.48, mean=-0.09386, std=2.898, absmax=12.48 +2025-10-31 16:18:35,915 ERROR: Encountered non-finite generator loss at iter 1199; skipping update. +2025-10-31 16:18:35,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:35,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:35,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:35,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:35,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.74, mean=-0.2698, std=2.699, absmax=12.34 +2025-10-31 16:18:35,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.487, max=9.487, mean=-0.2145, std=2.276, absmax=9.487 +2025-10-31 16:18:36,425 ERROR: Encountered non-finite generator loss at iter 1200; skipping update. +2025-10-31 16:18:36,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:36,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:36,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.47, mean=-0.06037, std=3.583, absmax=13.47 +2025-10-31 16:18:36,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=10.27, mean=-0.05285, std=2.947, absmax=10.96 +2025-10-31 16:18:36,437 INFO: [29..][epoch: 0, step: 1,200, lr:(1.500e-04,)] [eta: 2 days, 2:23:24, time (data): 0.503 (0.000)] +2025-10-31 16:18:36,931 ERROR: Encountered non-finite generator loss at iter 1201; skipping update. +2025-10-31 16:18:36,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:36,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:36,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:36,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:36,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.33, mean=-0.1699, std=2.761, absmax=14.33 +2025-10-31 16:18:36,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.841, max=9.069, mean=-0.195, std=2.346, absmax=9.069 +2025-10-31 16:18:37,438 ERROR: Encountered non-finite generator loss at iter 1202; skipping update. +2025-10-31 16:18:37,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:37,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:37,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=17.24, mean=-0.04534, std=3.394, absmax=17.24 +2025-10-31 16:18:37,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=13.95, mean=-0.07301, std=2.891, absmax=13.95 +2025-10-31 16:18:37,943 ERROR: Encountered non-finite generator loss at iter 1203; skipping update. +2025-10-31 16:18:37,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:37,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:37,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:37,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:37,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=15.75, mean=-0.1691, std=2.802, absmax=15.75 +2025-10-31 16:18:37,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=11.93, mean=-0.146, std=2.329, absmax=11.93 +2025-10-31 16:18:38,451 ERROR: Encountered non-finite generator loss at iter 1204; skipping update. +2025-10-31 16:18:38,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:38,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:38,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.27, mean=-0.302, std=3.217, absmax=12.94 +2025-10-31 16:18:38,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.09, mean=-0.3062, std=2.648, absmax=11.28 +2025-10-31 16:18:38,955 ERROR: Encountered non-finite generator loss at iter 1205; skipping update. +2025-10-31 16:18:38,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:38,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:38,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:38,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:38,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.08, mean=-0.3033, std=2.906, absmax=15.08 +2025-10-31 16:18:38,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.208, mean=-0.2888, std=2.376, absmax=10.31 +2025-10-31 16:18:39,463 ERROR: Encountered non-finite generator loss at iter 1206; skipping update. +2025-10-31 16:18:39,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,468 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:39,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:39,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.05, mean=-0.08768, std=3.013, absmax=12.05 +2025-10-31 16:18:39,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.23, mean=-0.1137, std=2.57, absmax=10.45 +2025-10-31 16:18:39,965 ERROR: Encountered non-finite generator loss at iter 1207; skipping update. +2025-10-31 16:18:39,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:39,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:39,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:39,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:39,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.48, mean=-0.3013, std=2.818, absmax=12.01 +2025-10-31 16:18:39,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.543, mean=-0.3185, std=2.419, absmax=11.27 +2025-10-31 16:18:40,474 ERROR: Encountered non-finite generator loss at iter 1208; skipping update. +2025-10-31 16:18:40,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:40,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:40,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.88, mean=-0.2772, std=2.851, absmax=12.88 +2025-10-31 16:18:40,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.39, mean=-0.2651, std=2.53, absmax=10.58 +2025-10-31 16:18:40,981 ERROR: Encountered non-finite generator loss at iter 1209; skipping update. +2025-10-31 16:18:40,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:40,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:40,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:40,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:40,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.4, mean=-0.2095, std=2.916, absmax=12.75 +2025-10-31 16:18:40,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.236, max=9.965, mean=-0.2449, std=2.384, absmax=9.965 +2025-10-31 16:18:41,488 ERROR: Encountered non-finite generator loss at iter 1210; skipping update. +2025-10-31 16:18:41,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:41,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:41,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.46, mean=-0.2516, std=3.237, absmax=12.46 +2025-10-31 16:18:41,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.826, max=11.05, mean=-0.2295, std=2.75, absmax=11.05 +2025-10-31 16:18:41,992 ERROR: Encountered non-finite generator loss at iter 1211; skipping update. +2025-10-31 16:18:41,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:41,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:41,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:42,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:42,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.68, max=16.23, mean=0.07599, std=3.986, absmax=17.68 +2025-10-31 16:18:42,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.52, max=12.12, mean=0.02978, std=3.3, absmax=13.52 +2025-10-31 16:18:42,499 ERROR: Encountered non-finite generator loss at iter 1212; skipping update. +2025-10-31 16:18:42,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:42,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:42,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:42,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:42,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:42,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:42,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:42,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:42,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=11.07, mean=-0.3313, std=3.517, absmax=14.35 +2025-10-31 16:18:42,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=8.693, mean=-0.2911, std=2.818, absmax=12.28 +2025-10-31 16:18:43,003 ERROR: Encountered non-finite generator loss at iter 1213; skipping update. +2025-10-31 16:18:43,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:43,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:43,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.5, mean=-0.21, std=2.727, absmax=12.5 +2025-10-31 16:18:43,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.818, max=8.33, mean=-0.1921, std=2.262, absmax=9.818 +2025-10-31 16:18:43,513 ERROR: Encountered non-finite generator loss at iter 1214; skipping update. +2025-10-31 16:18:43,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:43,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:43,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:43,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:43,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.08, mean=-0.2883, std=2.587, absmax=12.08 +2025-10-31 16:18:43,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.231, max=9.324, mean=-0.2697, std=2.184, absmax=9.324 +2025-10-31 16:18:44,018 ERROR: Encountered non-finite generator loss at iter 1215; skipping update. +2025-10-31 16:18:44,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:44,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:44,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=13.65, mean=-0.1147, std=2.811, absmax=13.65 +2025-10-31 16:18:44,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.809, max=9.367, mean=-0.145, std=2.385, absmax=9.367 +2025-10-31 16:18:44,525 ERROR: Encountered non-finite generator loss at iter 1216; skipping update. +2025-10-31 16:18:44,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:44,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:44,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:44,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:44,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.83, mean=0.04496, std=3.525, absmax=14.83 +2025-10-31 16:18:44,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.54, mean=0.09502, std=2.85, absmax=10.54 +2025-10-31 16:18:45,030 ERROR: Encountered non-finite generator loss at iter 1217; skipping update. +2025-10-31 16:18:45,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:45,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:45,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.63, mean=0.007878, std=2.862, absmax=12.63 +2025-10-31 16:18:45,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.789, max=9.984, mean=0.02812, std=2.386, absmax=9.984 +2025-10-31 16:18:45,538 ERROR: Encountered non-finite generator loss at iter 1218; skipping update. +2025-10-31 16:18:45,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:45,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:45,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:45,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:45,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.11, max=16.87, mean=-0.1499, std=3.239, absmax=17.11 +2025-10-31 16:18:45,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.909, max=13.43, mean=-0.09643, std=2.707, absmax=13.43 +2025-10-31 16:18:46,042 ERROR: Encountered non-finite generator loss at iter 1219; skipping update. +2025-10-31 16:18:46,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:46,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:46,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.24, mean=-0.312, std=2.977, absmax=14.24 +2025-10-31 16:18:46,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=9.672, mean=-0.2753, std=2.62, absmax=11.11 +2025-10-31 16:18:46,554 ERROR: Encountered non-finite generator loss at iter 1220; skipping update. +2025-10-31 16:18:46,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:46,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:46,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:46,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:46,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.96, mean=-0.2294, std=2.558, absmax=12.87 +2025-10-31 16:18:46,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.337, mean=-0.2, std=2.239, absmax=10.01 +2025-10-31 16:18:47,060 ERROR: Encountered non-finite generator loss at iter 1221; skipping update. +2025-10-31 16:18:47,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:47,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:47,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.4, mean=-0.291, std=2.643, absmax=12.4 +2025-10-31 16:18:47,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=9.557, mean=-0.2961, std=2.248, absmax=9.557 +2025-10-31 16:18:47,568 ERROR: Encountered non-finite generator loss at iter 1222; skipping update. +2025-10-31 16:18:47,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:47,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:47,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:47,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:47,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=15.39, mean=0.01064, std=3.43, absmax=15.39 +2025-10-31 16:18:47,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.89, mean=0.05784, std=3.021, absmax=12.89 +2025-10-31 16:18:48,075 ERROR: Encountered non-finite generator loss at iter 1223; skipping update. +2025-10-31 16:18:48,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:48,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:48,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=15.06, mean=-0.2225, std=3.128, absmax=15.06 +2025-10-31 16:18:48,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=11.44, mean=-0.1996, std=2.533, absmax=11.92 +2025-10-31 16:18:48,582 ERROR: Encountered non-finite generator loss at iter 1224; skipping update. +2025-10-31 16:18:48,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:48,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:48,589 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:48,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:48,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.33, mean=-0.2276, std=3.079, absmax=13.59 +2025-10-31 16:18:48,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=8.047, mean=-0.2393, std=2.427, absmax=11.06 +2025-10-31 16:18:49,087 ERROR: Encountered non-finite generator loss at iter 1225; skipping update. +2025-10-31 16:18:49,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:49,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:49,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=10.31, mean=-0.3417, std=2.479, absmax=11.16 +2025-10-31 16:18:49,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=7.766, mean=-0.274, std=2.106, absmax=10.33 +2025-10-31 16:18:49,590 ERROR: Encountered non-finite generator loss at iter 1226; skipping update. +2025-10-31 16:18:49,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:49,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:49,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:49,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:49,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.6, mean=-0.08905, std=3.076, absmax=12.6 +2025-10-31 16:18:49,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.4, mean=-0.08577, std=2.564, absmax=10.4 +2025-10-31 16:18:50,093 ERROR: Encountered non-finite generator loss at iter 1227; skipping update. +2025-10-31 16:18:50,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:50,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:50,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.73, mean=-0.2317, std=2.668, absmax=13.73 +2025-10-31 16:18:50,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.704, max=8.965, mean=-0.2322, std=2.249, absmax=9.704 +2025-10-31 16:18:50,599 ERROR: Encountered non-finite generator loss at iter 1228; skipping update. +2025-10-31 16:18:50,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:50,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:50,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:50,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:50,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=14.44, mean=-0.2155, std=2.663, absmax=14.44 +2025-10-31 16:18:50,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.482, max=9.632, mean=-0.2159, std=2.124, absmax=9.632 +2025-10-31 16:18:51,102 ERROR: Encountered non-finite generator loss at iter 1229; skipping update. +2025-10-31 16:18:51,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:51,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:51,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.1, mean=-0.1555, std=3.21, absmax=12.21 +2025-10-31 16:18:51,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=9.474, mean=-0.1541, std=2.747, absmax=11.98 +2025-10-31 16:18:51,606 ERROR: Encountered non-finite generator loss at iter 1230; skipping update. +2025-10-31 16:18:51,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:51,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:51,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:51,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:51,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.23, mean=-0.02193, std=3.288, absmax=13.83 +2025-10-31 16:18:51,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=9.545, mean=-0.07992, std=2.712, absmax=10.5 +2025-10-31 16:18:52,110 ERROR: Encountered non-finite generator loss at iter 1231; skipping update. +2025-10-31 16:18:52,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:52,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:52,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=15.46, mean=-0.2641, std=2.937, absmax=15.46 +2025-10-31 16:18:52,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=10.53, mean=-0.2066, std=2.481, absmax=10.94 +2025-10-31 16:18:52,614 ERROR: Encountered non-finite generator loss at iter 1232; skipping update. +2025-10-31 16:18:52,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:52,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:52,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:52,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:52,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15, mean=0.1624, std=3.328, absmax=15 +2025-10-31 16:18:52,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=12.03, mean=0.06396, std=2.631, absmax=12.03 +2025-10-31 16:18:53,118 ERROR: Encountered non-finite generator loss at iter 1233; skipping update. +2025-10-31 16:18:53,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:53,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:53,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.22, mean=-0.1815, std=2.933, absmax=12.4 +2025-10-31 16:18:53,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.145, max=10.51, mean=-0.1479, std=2.494, absmax=10.51 +2025-10-31 16:18:53,624 ERROR: Encountered non-finite generator loss at iter 1234; skipping update. +2025-10-31 16:18:53,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:53,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:53,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:53,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:53,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.27, mean=-0.1312, std=2.952, absmax=13.27 +2025-10-31 16:18:53,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.133, mean=-0.1728, std=2.499, absmax=10.57 +2025-10-31 16:18:54,127 ERROR: Encountered non-finite generator loss at iter 1235; skipping update. +2025-10-31 16:18:54,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:54,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:54,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.28, mean=-0.2774, std=2.867, absmax=13.28 +2025-10-31 16:18:54,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.3, mean=-0.2526, std=2.466, absmax=10.87 +2025-10-31 16:18:54,631 ERROR: Encountered non-finite generator loss at iter 1236; skipping update. +2025-10-31 16:18:54,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:54,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:54,637 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:54,638 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:54,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.47, mean=-0.3142, std=2.689, absmax=13.47 +2025-10-31 16:18:54,640 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.879, mean=-0.3017, std=2.334, absmax=10.2 +2025-10-31 16:18:55,133 ERROR: Encountered non-finite generator loss at iter 1237; skipping update. +2025-10-31 16:18:55,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:55,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:55,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.1, mean=-0.2756, std=2.81, absmax=12.78 +2025-10-31 16:18:55,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.569, mean=-0.2374, std=2.29, absmax=10.77 +2025-10-31 16:18:55,636 ERROR: Encountered non-finite generator loss at iter 1238; skipping update. +2025-10-31 16:18:55,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:55,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:55,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:55,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:55,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=18.7, mean=-0.2248, std=3.411, absmax=18.7 +2025-10-31 16:18:55,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.15, max=11.12, mean=-0.1883, std=2.916, absmax=12.15 +2025-10-31 16:18:56,138 ERROR: Encountered non-finite generator loss at iter 1239; skipping update. +2025-10-31 16:18:56,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:56,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:56,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.16, mean=-0.2022, std=3.126, absmax=13.48 +2025-10-31 16:18:56,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=9.053, mean=-0.2265, std=2.526, absmax=12.29 +2025-10-31 16:18:56,643 ERROR: Encountered non-finite generator loss at iter 1240; skipping update. +2025-10-31 16:18:56,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:56,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:56,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:56,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:56,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.4, mean=-0.1481, std=3.574, absmax=14.4 +2025-10-31 16:18:56,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=11.57, mean=-0.1466, std=3.031, absmax=11.57 +2025-10-31 16:18:57,148 ERROR: Encountered non-finite generator loss at iter 1241; skipping update. +2025-10-31 16:18:57,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:57,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:57,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.29, mean=0.1282, std=3.235, absmax=13.29 +2025-10-31 16:18:57,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.483, max=11.09, mean=0.0967, std=2.752, absmax=11.09 +2025-10-31 16:18:57,652 ERROR: Encountered non-finite generator loss at iter 1242; skipping update. +2025-10-31 16:18:57,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:57,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:57,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:57,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:57,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.06, mean=-0.1174, std=2.882, absmax=13.06 +2025-10-31 16:18:57,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.867, mean=-0.1136, std=2.347, absmax=10.98 +2025-10-31 16:18:58,155 ERROR: Encountered non-finite generator loss at iter 1243; skipping update. +2025-10-31 16:18:58,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:58,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:58,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.9, mean=-0.1599, std=2.724, absmax=14.19 +2025-10-31 16:18:58,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=11.29, mean=-0.08943, std=2.384, absmax=11.29 +2025-10-31 16:18:58,659 ERROR: Encountered non-finite generator loss at iter 1244; skipping update. +2025-10-31 16:18:58,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:58,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:58,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:58,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:58,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.17, mean=-0.04369, std=2.635, absmax=12.17 +2025-10-31 16:18:58,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.235, max=8.88, mean=-0.06876, std=2.184, absmax=8.88 +2025-10-31 16:18:59,164 ERROR: Encountered non-finite generator loss at iter 1245; skipping update. +2025-10-31 16:18:59,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,165 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:59,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:59,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=15.79, mean=0.06225, std=3.733, absmax=15.79 +2025-10-31 16:18:59,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.945, max=14.79, mean=0.01957, std=3.291, absmax=14.79 +2025-10-31 16:18:59,669 ERROR: Encountered non-finite generator loss at iter 1246; skipping update. +2025-10-31 16:18:59,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:18:59,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:18:59,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:18:59,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:18:59,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=10.78, mean=-0.05951, std=3.022, absmax=13.3 +2025-10-31 16:18:59,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=8.727, mean=-0.0737, std=2.544, absmax=12.24 +2025-10-31 16:19:00,175 ERROR: Encountered non-finite generator loss at iter 1247; skipping update. +2025-10-31 16:19:00,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:00,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:00,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.37, mean=-0.05009, std=2.814, absmax=12.37 +2025-10-31 16:19:00,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.419, max=10.18, mean=-0.09093, std=2.362, absmax=10.18 +2025-10-31 16:19:00,680 ERROR: Encountered non-finite generator loss at iter 1248; skipping update. +2025-10-31 16:19:00,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:00,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:00,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:00,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:00,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=15.16, mean=-0.2738, std=3.248, absmax=15.16 +2025-10-31 16:19:00,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=10.3, mean=-0.244, std=2.553, absmax=11.23 +2025-10-31 16:19:01,186 ERROR: Encountered non-finite generator loss at iter 1249; skipping update. +2025-10-31 16:19:01,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:01,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:01,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.96, mean=-0.05497, std=3.349, absmax=13.05 +2025-10-31 16:19:01,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=11.62, mean=-0.1038, std=2.972, absmax=11.99 +2025-10-31 16:19:01,691 ERROR: Encountered non-finite generator loss at iter 1250; skipping update. +2025-10-31 16:19:01,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:01,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:01,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:01,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:01,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=14.98, mean=0.1985, std=3.386, absmax=14.98 +2025-10-31 16:19:01,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=13.28, mean=0.1673, std=2.883, absmax=13.28 +2025-10-31 16:19:02,195 ERROR: Encountered non-finite generator loss at iter 1251; skipping update. +2025-10-31 16:19:02,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,198 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,199 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:02,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:02,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=16.84, mean=-0.2364, std=2.672, absmax=16.84 +2025-10-31 16:19:02,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.733, mean=-0.2189, std=2.18, absmax=10.41 +2025-10-31 16:19:02,701 ERROR: Encountered non-finite generator loss at iter 1252; skipping update. +2025-10-31 16:19:02,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:02,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:02,704 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:02,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:02,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=16.26, mean=-0.144, std=2.878, absmax=16.26 +2025-10-31 16:19:02,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.37, mean=-0.1672, std=2.523, absmax=10.55 +2025-10-31 16:19:03,200 ERROR: Encountered non-finite generator loss at iter 1253; skipping update. +2025-10-31 16:19:03,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:03,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:03,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.96, max=14.47, mean=-0.1008, std=3.723, absmax=15.96 +2025-10-31 16:19:03,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=11.21, mean=-0.1013, std=3.176, absmax=12.61 +2025-10-31 16:19:03,705 ERROR: Encountered non-finite generator loss at iter 1254; skipping update. +2025-10-31 16:19:03,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:03,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:03,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:03,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:03,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.79, mean=-0.1865, std=2.787, absmax=13.38 +2025-10-31 16:19:03,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.516, max=10.25, mean=-0.1447, std=2.254, absmax=10.25 +2025-10-31 16:19:04,210 ERROR: Encountered non-finite generator loss at iter 1255; skipping update. +2025-10-31 16:19:04,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:04,218 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:04,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=15.11, mean=0.2414, std=3.841, absmax=15.61 +2025-10-31 16:19:04,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=14.75, mean=0.2732, std=3.473, absmax=14.75 +2025-10-31 16:19:04,715 ERROR: Encountered non-finite generator loss at iter 1256; skipping update. +2025-10-31 16:19:04,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:04,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:04,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:04,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:04,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.5, mean=-0.0153, std=3.495, absmax=14.5 +2025-10-31 16:19:04,723 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=11.5, mean=-0.02, std=2.96, absmax=11.5 +2025-10-31 16:19:05,217 ERROR: Encountered non-finite generator loss at iter 1257; skipping update. +2025-10-31 16:19:05,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,219 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:05,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:05,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=12.73, mean=-0.1007, std=2.998, absmax=12.73 +2025-10-31 16:19:05,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.258, max=10.19, mean=-0.09492, std=2.493, absmax=10.19 +2025-10-31 16:19:05,721 ERROR: Encountered non-finite generator loss at iter 1258; skipping update. +2025-10-31 16:19:05,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:05,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:05,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:05,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:05,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.45, mean=-0.2895, std=2.696, absmax=11.66 +2025-10-31 16:19:05,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=8.375, mean=-0.2799, std=2.188, absmax=9.309 +2025-10-31 16:19:06,221 ERROR: Encountered non-finite generator loss at iter 1259; skipping update. +2025-10-31 16:19:06,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:06,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:06,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.1, mean=0.04013, std=3.128, absmax=14.1 +2025-10-31 16:19:06,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.915, max=11.38, mean=0.04618, std=2.774, absmax=11.38 +2025-10-31 16:19:06,726 ERROR: Encountered non-finite generator loss at iter 1260; skipping update. +2025-10-31 16:19:06,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:06,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:06,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:06,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:06,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.44, mean=-0.1375, std=2.936, absmax=13.44 +2025-10-31 16:19:06,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.513, max=9.387, mean=-0.1727, std=2.256, absmax=9.513 +2025-10-31 16:19:07,228 ERROR: Encountered non-finite generator loss at iter 1261; skipping update. +2025-10-31 16:19:07,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:07,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:07,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.94, mean=-0.08684, std=2.895, absmax=13.94 +2025-10-31 16:19:07,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.604, max=10.7, mean=-0.0941, std=2.453, absmax=10.7 +2025-10-31 16:19:07,732 ERROR: Encountered non-finite generator loss at iter 1262; skipping update. +2025-10-31 16:19:07,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:07,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:07,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:07,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:07,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=9.582, mean=-0.1277, std=2.556, absmax=11.09 +2025-10-31 16:19:07,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.599, max=8.334, mean=-0.1535, std=2.166, absmax=8.599 +2025-10-31 16:19:08,235 ERROR: Encountered non-finite generator loss at iter 1263; skipping update. +2025-10-31 16:19:08,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:08,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:08,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.41, mean=-0.1571, std=2.729, absmax=12.59 +2025-10-31 16:19:08,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.428, max=10.68, mean=-0.1254, std=2.358, absmax=10.68 +2025-10-31 16:19:08,756 ERROR: Encountered non-finite generator loss at iter 1264; skipping update. +2025-10-31 16:19:08,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:08,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:08,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:08,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:08,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=12.07, mean=-0.1308, std=2.545, absmax=12.07 +2025-10-31 16:19:08,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.027, max=8.375, mean=-0.1208, std=2.004, absmax=8.375 +2025-10-31 16:19:09,260 ERROR: Encountered non-finite generator loss at iter 1265; skipping update. +2025-10-31 16:19:09,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:09,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:09,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=14.12, mean=-0.1573, std=3.022, absmax=14.35 +2025-10-31 16:19:09,268 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.438, mean=-0.1773, std=2.463, absmax=10.16 +2025-10-31 16:19:09,760 ERROR: Encountered non-finite generator loss at iter 1266; skipping update. +2025-10-31 16:19:09,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:09,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:09,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:09,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:09,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.12, mean=-0.08017, std=3.195, absmax=13.12 +2025-10-31 16:19:09,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.22, mean=-0.1001, std=2.716, absmax=10.32 +2025-10-31 16:19:10,264 ERROR: Encountered non-finite generator loss at iter 1267; skipping update. +2025-10-31 16:19:10,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:10,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:10,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.84, mean=-0.2875, std=2.638, absmax=11.3 +2025-10-31 16:19:10,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.886, max=8.301, mean=-0.2506, std=2.373, absmax=9.886 +2025-10-31 16:19:10,769 ERROR: Encountered non-finite generator loss at iter 1268; skipping update. +2025-10-31 16:19:10,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:10,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:10,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:10,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:10,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=16.13, mean=0.03394, std=3.529, absmax=16.13 +2025-10-31 16:19:10,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.79, max=12.54, mean=0.02782, std=2.991, absmax=13.79 +2025-10-31 16:19:11,272 ERROR: Encountered non-finite generator loss at iter 1269; skipping update. +2025-10-31 16:19:11,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:11,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:11,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.77, mean=-0.19, std=3.028, absmax=13.16 +2025-10-31 16:19:11,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.951, mean=-0.1552, std=2.61, absmax=10.3 +2025-10-31 16:19:11,776 ERROR: Encountered non-finite generator loss at iter 1270; skipping update. +2025-10-31 16:19:11,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:11,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:11,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:11,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:11,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=13.07, mean=-0.06553, std=2.583, absmax=13.07 +2025-10-31 16:19:11,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.566, max=8.952, mean=-0.05456, std=2.163, absmax=8.952 +2025-10-31 16:19:12,279 ERROR: Encountered non-finite generator loss at iter 1271; skipping update. +2025-10-31 16:19:12,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:12,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:12,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.2, mean=-0.2663, std=2.556, absmax=11.49 +2025-10-31 16:19:12,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.041, max=7.915, mean=-0.2353, std=2.128, absmax=9.041 +2025-10-31 16:19:12,781 ERROR: Encountered non-finite generator loss at iter 1272; skipping update. +2025-10-31 16:19:12,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:12,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:12,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:12,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:12,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.36, mean=-0.01914, std=3.682, absmax=14.03 +2025-10-31 16:19:12,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=11.15, mean=-0.07426, std=3.225, absmax=12.78 +2025-10-31 16:19:13,286 ERROR: Encountered non-finite generator loss at iter 1273; skipping update. +2025-10-31 16:19:13,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:13,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:13,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.87, mean=-0.07515, std=2.872, absmax=11.87 +2025-10-31 16:19:13,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=9.781, mean=-0.05038, std=2.412, absmax=9.781 +2025-10-31 16:19:13,790 ERROR: Encountered non-finite generator loss at iter 1274; skipping update. +2025-10-31 16:19:13,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:13,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:13,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:13,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:13,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.97, mean=-0.1523, std=2.852, absmax=14.97 +2025-10-31 16:19:13,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=13.48, mean=-0.1748, std=2.56, absmax=13.48 +2025-10-31 16:19:14,291 ERROR: Encountered non-finite generator loss at iter 1275; skipping update. +2025-10-31 16:19:14,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:14,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:14,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.92, mean=-0.149, std=2.899, absmax=13.58 +2025-10-31 16:19:14,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.362, max=11.02, mean=-0.1452, std=2.418, absmax=11.02 +2025-10-31 16:19:14,794 ERROR: Encountered non-finite generator loss at iter 1276; skipping update. +2025-10-31 16:19:14,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:14,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:14,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:14,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:14,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.92, mean=-0.231, std=2.949, absmax=14.05 +2025-10-31 16:19:14,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.87, max=10.36, mean=-0.2577, std=2.472, absmax=12.87 +2025-10-31 16:19:15,295 ERROR: Encountered non-finite generator loss at iter 1277; skipping update. +2025-10-31 16:19:15,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:15,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:15,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15.17, mean=-0.08944, std=3.999, absmax=15.17 +2025-10-31 16:19:15,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=14.74, mean=-0.05564, std=3.352, absmax=14.74 +2025-10-31 16:19:15,795 ERROR: Encountered non-finite generator loss at iter 1278; skipping update. +2025-10-31 16:19:15,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:15,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:15,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:15,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:15,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=10.36, mean=-0.1552, std=2.54, absmax=11.19 +2025-10-31 16:19:15,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.819, max=7.662, mean=-0.1756, std=2.105, absmax=8.819 +2025-10-31 16:19:16,296 ERROR: Encountered non-finite generator loss at iter 1279; skipping update. +2025-10-31 16:19:16,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:16,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:16,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.09, mean=-0.2215, std=3.327, absmax=14.09 +2025-10-31 16:19:16,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.29, mean=-0.2041, std=2.734, absmax=10.29 +2025-10-31 16:19:16,798 ERROR: Encountered non-finite generator loss at iter 1280; skipping update. +2025-10-31 16:19:16,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:16,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:16,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:16,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:16,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.18, max=13.18, mean=-0.1608, std=3.162, absmax=17.18 +2025-10-31 16:19:16,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=9.932, mean=-0.1601, std=2.66, absmax=11.44 +2025-10-31 16:19:17,299 ERROR: Encountered non-finite generator loss at iter 1281; skipping update. +2025-10-31 16:19:17,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:17,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:17,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.14, mean=-0.2787, std=2.879, absmax=13.67 +2025-10-31 16:19:17,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.86, mean=-0.2832, std=2.503, absmax=11.35 +2025-10-31 16:19:17,800 ERROR: Encountered non-finite generator loss at iter 1282; skipping update. +2025-10-31 16:19:17,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:17,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:17,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:17,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:17,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=15.23, mean=-0.1352, std=3.579, absmax=15.23 +2025-10-31 16:19:17,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=10.69, mean=-0.1461, std=2.936, absmax=11.38 +2025-10-31 16:19:18,302 ERROR: Encountered non-finite generator loss at iter 1283; skipping update. +2025-10-31 16:19:18,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:18,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:18,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=13.19, mean=-0.1879, std=3.056, absmax=14.79 +2025-10-31 16:19:18,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=8.912, mean=-0.1637, std=2.482, absmax=12.1 +2025-10-31 16:19:18,806 ERROR: Encountered non-finite generator loss at iter 1284; skipping update. +2025-10-31 16:19:18,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:18,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:18,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:18,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:18,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.18, mean=-0.1769, std=3.206, absmax=12.86 +2025-10-31 16:19:18,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.495, max=10.39, mean=-0.1635, std=2.675, absmax=10.39 +2025-10-31 16:19:19,309 ERROR: Encountered non-finite generator loss at iter 1285; skipping update. +2025-10-31 16:19:19,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:19,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:19,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=15.27, mean=-0.2855, std=2.742, absmax=15.27 +2025-10-31 16:19:19,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=9.235, mean=-0.2829, std=2.67, absmax=11.46 +2025-10-31 16:19:19,812 ERROR: Encountered non-finite generator loss at iter 1286; skipping update. +2025-10-31 16:19:19,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:19,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:19,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:19,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:19,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.61, mean=0.04977, std=3.216, absmax=13.69 +2025-10-31 16:19:19,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.823, max=11.85, mean=0.03003, std=2.654, absmax=11.85 +2025-10-31 16:19:20,316 ERROR: Encountered non-finite generator loss at iter 1287; skipping update. +2025-10-31 16:19:20,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:20,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:20,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=12.67, mean=-0.2367, std=3.073, absmax=14.2 +2025-10-31 16:19:20,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=8.434, mean=-0.2438, std=2.66, absmax=10.91 +2025-10-31 16:19:20,820 ERROR: Encountered non-finite generator loss at iter 1288; skipping update. +2025-10-31 16:19:20,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:20,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:20,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:20,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:20,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=19.03, mean=0.1008, std=3.653, absmax=19.03 +2025-10-31 16:19:20,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=17.14, mean=0.05218, std=3.217, absmax=17.14 +2025-10-31 16:19:21,322 ERROR: Encountered non-finite generator loss at iter 1289; skipping update. +2025-10-31 16:19:21,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:21,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:21,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.52, mean=-0.2109, std=3.202, absmax=14.52 +2025-10-31 16:19:21,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=9.368, mean=-0.1953, std=2.774, absmax=11.35 +2025-10-31 16:19:21,824 ERROR: Encountered non-finite generator loss at iter 1290; skipping update. +2025-10-31 16:19:21,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:21,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:21,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:21,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:21,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.24, mean=-0.2475, std=2.572, absmax=12.3 +2025-10-31 16:19:21,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=10.72, mean=-0.2272, std=2.199, absmax=10.72 +2025-10-31 16:19:22,328 ERROR: Encountered non-finite generator loss at iter 1291; skipping update. +2025-10-31 16:19:22,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:22,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:22,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.69, mean=-0.2223, std=3.058, absmax=12.84 +2025-10-31 16:19:22,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.842, mean=-0.1879, std=2.508, absmax=10.25 +2025-10-31 16:19:22,830 ERROR: Encountered non-finite generator loss at iter 1292; skipping update. +2025-10-31 16:19:22,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:22,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:22,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:22,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:22,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.37, mean=0.007005, std=3.467, absmax=14.37 +2025-10-31 16:19:22,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.64, mean=-0.033, std=2.886, absmax=10.64 +2025-10-31 16:19:23,332 ERROR: Encountered non-finite generator loss at iter 1293; skipping update. +2025-10-31 16:19:23,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,335 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:23,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:23,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=16.22, mean=-0.0228, std=3.003, absmax=16.22 +2025-10-31 16:19:23,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.577, max=11.35, mean=-0.08293, std=2.399, absmax=11.35 +2025-10-31 16:19:23,835 ERROR: Encountered non-finite generator loss at iter 1294; skipping update. +2025-10-31 16:19:23,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:23,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:23,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:23,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:23,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.5, mean=-0.1069, std=3.227, absmax=15.5 +2025-10-31 16:19:23,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=11.55, mean=-0.1415, std=2.587, absmax=11.55 +2025-10-31 16:19:24,338 ERROR: Encountered non-finite generator loss at iter 1295; skipping update. +2025-10-31 16:19:24,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:24,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:24,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.24, mean=-0.3288, std=3.6, absmax=14.24 +2025-10-31 16:19:24,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=9.059, mean=-0.2749, std=3.05, absmax=11.95 +2025-10-31 16:19:24,840 ERROR: Encountered non-finite generator loss at iter 1296; skipping update. +2025-10-31 16:19:24,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:24,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:24,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:24,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:24,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.25, mean=-0.1791, std=2.909, absmax=12.8 +2025-10-31 16:19:24,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.121, mean=-0.1865, std=2.45, absmax=10.26 +2025-10-31 16:19:25,341 ERROR: Encountered non-finite generator loss at iter 1297; skipping update. +2025-10-31 16:19:25,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:25,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:25,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15, mean=-0.299, std=3.267, absmax=15 +2025-10-31 16:19:25,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.02, mean=-0.2891, std=2.788, absmax=12.02 +2025-10-31 16:19:25,844 ERROR: Encountered non-finite generator loss at iter 1298; skipping update. +2025-10-31 16:19:25,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:25,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:25,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:25,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:25,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=10.13, mean=-0.3313, std=3.101, absmax=12.89 +2025-10-31 16:19:25,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=8.76, mean=-0.3378, std=2.889, absmax=11.92 +2025-10-31 16:19:26,346 ERROR: Encountered non-finite generator loss at iter 1299; skipping update. +2025-10-31 16:19:26,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:26,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:26,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.68, mean=-0.07027, std=2.858, absmax=13.68 +2025-10-31 16:19:26,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.039, max=8.622, mean=-0.07296, std=2.318, absmax=9.039 +2025-10-31 16:19:26,850 ERROR: Encountered non-finite generator loss at iter 1300; skipping update. +2025-10-31 16:19:26,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,854 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,855 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:26,856 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:26,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:26,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:26,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.48, mean=0.02399, std=3.218, absmax=13.53 +2025-10-31 16:19:26,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.62, mean=0.005675, std=2.578, absmax=10.62 +2025-10-31 16:19:26,862 INFO: [29..][epoch: 0, step: 1,300, lr:(1.500e-04,)] [eta: 2 days, 1:10:32, time (data): 0.504 (0.000)] +2025-10-31 16:19:27,354 ERROR: Encountered non-finite generator loss at iter 1301; skipping update. +2025-10-31 16:19:27,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:27,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:27,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.31, mean=0.197, std=3.484, absmax=14.31 +2025-10-31 16:19:27,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.625, max=10.92, mean=0.1037, std=2.702, absmax=10.92 +2025-10-31 16:19:27,858 ERROR: Encountered non-finite generator loss at iter 1302; skipping update. +2025-10-31 16:19:27,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:27,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:27,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:27,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:27,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.33, mean=-0.2786, std=2.997, absmax=13.72 +2025-10-31 16:19:27,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=10.22, mean=-0.2324, std=2.607, absmax=11.28 +2025-10-31 16:19:28,361 ERROR: Encountered non-finite generator loss at iter 1303; skipping update. +2025-10-31 16:19:28,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,366 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:28,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:28,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.42, mean=-0.02396, std=2.71, absmax=13.96 +2025-10-31 16:19:28,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.667, max=9.94, mean=-0.0616, std=2.274, absmax=9.94 +2025-10-31 16:19:28,864 ERROR: Encountered non-finite generator loss at iter 1304; skipping update. +2025-10-31 16:19:28,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:28,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:28,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:28,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:28,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.41, mean=-0.3495, std=3.038, absmax=13.09 +2025-10-31 16:19:28,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=8.708, mean=-0.3373, std=2.594, absmax=11.33 +2025-10-31 16:19:29,368 ERROR: Encountered non-finite generator loss at iter 1305; skipping update. +2025-10-31 16:19:29,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:29,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:29,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11, mean=-0.231, std=2.793, absmax=12.19 +2025-10-31 16:19:29,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=7.777, mean=-0.2052, std=2.308, absmax=10.69 +2025-10-31 16:19:29,871 ERROR: Encountered non-finite generator loss at iter 1306; skipping update. +2025-10-31 16:19:29,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:29,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:29,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:29,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:29,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=13.58, mean=-0.1214, std=3.807, absmax=14.84 +2025-10-31 16:19:29,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.48, max=10.86, mean=-0.1331, std=3.089, absmax=12.48 +2025-10-31 16:19:30,373 ERROR: Encountered non-finite generator loss at iter 1307; skipping update. +2025-10-31 16:19:30,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:30,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:30,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.02, mean=-0.1331, std=3.12, absmax=14.02 +2025-10-31 16:19:30,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.361, max=11.49, mean=-0.1047, std=2.535, absmax=11.49 +2025-10-31 16:19:30,876 ERROR: Encountered non-finite generator loss at iter 1308; skipping update. +2025-10-31 16:19:30,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:30,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:30,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:30,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:30,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=16.19, mean=-0.126, std=3.223, absmax=16.19 +2025-10-31 16:19:30,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=11.66, mean=-0.1188, std=2.668, absmax=12.24 +2025-10-31 16:19:31,378 ERROR: Encountered non-finite generator loss at iter 1309; skipping update. +2025-10-31 16:19:31,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:31,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:31,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.12, mean=-0.1841, std=2.862, absmax=12.52 +2025-10-31 16:19:31,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.879, max=11.04, mean=-0.1473, std=2.579, absmax=11.04 +2025-10-31 16:19:31,880 ERROR: Encountered non-finite generator loss at iter 1310; skipping update. +2025-10-31 16:19:31,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:31,885 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:31,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:31,887 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:31,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.81, mean=-0.2003, std=3.043, absmax=12.81 +2025-10-31 16:19:31,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.982, max=9.03, mean=-0.2314, std=2.406, absmax=9.982 +2025-10-31 16:19:32,382 ERROR: Encountered non-finite generator loss at iter 1311; skipping update. +2025-10-31 16:19:32,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:32,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:32,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.95, mean=-0.138, std=3.019, absmax=14.17 +2025-10-31 16:19:32,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.749, max=10.61, mean=-0.1189, std=2.433, absmax=10.61 +2025-10-31 16:19:32,884 ERROR: Encountered non-finite generator loss at iter 1312; skipping update. +2025-10-31 16:19:32,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:32,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:32,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:32,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:32,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.66, mean=-0.09141, std=3.041, absmax=13.66 +2025-10-31 16:19:32,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.979, max=10.41, mean=-0.1238, std=2.413, absmax=10.41 +2025-10-31 16:19:33,388 ERROR: Encountered non-finite generator loss at iter 1313; skipping update. +2025-10-31 16:19:33,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,390 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:33,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:33,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.39, mean=-0.09968, std=3.071, absmax=13.22 +2025-10-31 16:19:33,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.9, mean=-0.1126, std=2.745, absmax=11.65 +2025-10-31 16:19:33,891 ERROR: Encountered non-finite generator loss at iter 1314; skipping update. +2025-10-31 16:19:33,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:33,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:33,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:33,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:33,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=17.52, mean=-0.2471, std=2.572, absmax=17.52 +2025-10-31 16:19:33,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=12.53, mean=-0.2794, std=2.201, absmax=12.53 +2025-10-31 16:19:34,391 ERROR: Encountered non-finite generator loss at iter 1315; skipping update. +2025-10-31 16:19:34,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,393 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:34,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:34,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=15.95, mean=-0.1993, std=3.263, absmax=15.95 +2025-10-31 16:19:34,401 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.93, mean=-0.1784, std=2.604, absmax=11.93 +2025-10-31 16:19:34,894 ERROR: Encountered non-finite generator loss at iter 1316; skipping update. +2025-10-31 16:19:34,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:34,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:34,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:34,902 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:34,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.53, mean=-0.04842, std=2.743, absmax=13.53 +2025-10-31 16:19:34,904 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.604, max=9.563, mean=-0.08626, std=2.197, absmax=9.563 +2025-10-31 16:19:35,397 ERROR: Encountered non-finite generator loss at iter 1317; skipping update. +2025-10-31 16:19:35,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,402 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:35,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:35,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.1, mean=-0.224, std=2.447, absmax=12.48 +2025-10-31 16:19:35,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.395, max=8.861, mean=-0.2138, std=2.037, absmax=8.861 +2025-10-31 16:19:35,899 ERROR: Encountered non-finite generator loss at iter 1318; skipping update. +2025-10-31 16:19:35,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:35,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:35,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:35,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:35,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.5, mean=-0.127, std=3.312, absmax=13.5 +2025-10-31 16:19:35,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.03, mean=-0.1003, std=2.849, absmax=10.75 +2025-10-31 16:19:36,400 ERROR: Encountered non-finite generator loss at iter 1319; skipping update. +2025-10-31 16:19:36,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,404 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,405 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,406 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:36,407 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:36,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=20.45, mean=-0.05005, std=3.421, absmax=20.45 +2025-10-31 16:19:36,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=13.91, mean=-0.05159, std=2.743, absmax=13.91 +2025-10-31 16:19:36,901 ERROR: Encountered non-finite generator loss at iter 1320; skipping update. +2025-10-31 16:19:36,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:36,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:36,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:36,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:36,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.69, mean=0.01195, std=3.11, absmax=15.69 +2025-10-31 16:19:36,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=12.34, mean=-0.01184, std=2.578, absmax=12.34 +2025-10-31 16:19:37,404 ERROR: Encountered non-finite generator loss at iter 1321; skipping update. +2025-10-31 16:19:37,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:37,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:37,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.27, mean=-0.2756, std=2.836, absmax=13.21 +2025-10-31 16:19:37,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.731, max=8.647, mean=-0.2748, std=2.334, absmax=9.731 +2025-10-31 16:19:37,907 ERROR: Encountered non-finite generator loss at iter 1322; skipping update. +2025-10-31 16:19:37,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:37,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:37,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:37,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:37,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.03, mean=-0.09076, std=2.93, absmax=12.08 +2025-10-31 16:19:37,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.31, mean=-0.0891, std=2.574, absmax=11.31 +2025-10-31 16:19:38,409 ERROR: Encountered non-finite generator loss at iter 1323; skipping update. +2025-10-31 16:19:38,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:38,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:38,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.47, mean=-0.2334, std=3.185, absmax=14.19 +2025-10-31 16:19:38,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=9.462, mean=-0.2445, std=2.852, absmax=11.53 +2025-10-31 16:19:38,912 ERROR: Encountered non-finite generator loss at iter 1324; skipping update. +2025-10-31 16:19:38,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,918 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:38,919 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:38,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:38,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:38,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.47, mean=-0.05763, std=2.876, absmax=13.72 +2025-10-31 16:19:38,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.82, mean=-0.07167, std=2.427, absmax=10.82 +2025-10-31 16:19:39,416 ERROR: Encountered non-finite generator loss at iter 1325; skipping update. +2025-10-31 16:19:39,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:39,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:39,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.42, mean=0.02539, std=3.079, absmax=13.54 +2025-10-31 16:19:39,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.853, max=8.854, mean=-0.03849, std=2.345, absmax=9.853 +2025-10-31 16:19:39,919 ERROR: Encountered non-finite generator loss at iter 1326; skipping update. +2025-10-31 16:19:39,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:39,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:39,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:39,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:39,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.73, mean=-0.07251, std=3.228, absmax=13.73 +2025-10-31 16:19:39,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.32, mean=-0.1179, std=2.609, absmax=11 +2025-10-31 16:19:40,421 ERROR: Encountered non-finite generator loss at iter 1327; skipping update. +2025-10-31 16:19:40,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:40,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:40,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=14.51, mean=-0.2398, std=3.207, absmax=14.51 +2025-10-31 16:19:40,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.064, mean=-0.2719, std=2.588, absmax=10.6 +2025-10-31 16:19:40,925 ERROR: Encountered non-finite generator loss at iter 1328; skipping update. +2025-10-31 16:19:40,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:40,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:40,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:40,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:40,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.27, mean=-0.2425, std=3.45, absmax=14.38 +2025-10-31 16:19:40,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.4, max=9.889, mean=-0.2465, std=2.866, absmax=13.4 +2025-10-31 16:19:41,426 ERROR: Encountered non-finite generator loss at iter 1329; skipping update. +2025-10-31 16:19:41,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,430 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:41,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:41,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.68, mean=-0.1969, std=2.498, absmax=11.68 +2025-10-31 16:19:41,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.805, max=7.433, mean=-0.2323, std=2.152, absmax=9.805 +2025-10-31 16:19:41,930 ERROR: Encountered non-finite generator loss at iter 1330; skipping update. +2025-10-31 16:19:41,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:41,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:41,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:41,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:41,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=13.69, mean=-0.157, std=2.684, absmax=15.19 +2025-10-31 16:19:41,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.705, max=10.64, mean=-0.1377, std=2.229, absmax=10.64 +2025-10-31 16:19:42,432 ERROR: Encountered non-finite generator loss at iter 1331; skipping update. +2025-10-31 16:19:42,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:42,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:42,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.27, mean=-0.2783, std=2.822, absmax=12.72 +2025-10-31 16:19:42,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.951, max=7.465, mean=-0.2497, std=2.318, absmax=9.951 +2025-10-31 16:19:42,935 ERROR: Encountered non-finite generator loss at iter 1332; skipping update. +2025-10-31 16:19:42,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,938 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:42,939 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:42,940 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:42,941 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:42,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.68, mean=-0.38, std=3.556, absmax=13.99 +2025-10-31 16:19:42,943 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=9.894, mean=-0.318, std=2.905, absmax=10.99 +2025-10-31 16:19:43,435 ERROR: Encountered non-finite generator loss at iter 1333; skipping update. +2025-10-31 16:19:43,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:43,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:43,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.38, mean=-0.1164, std=3.29, absmax=13.38 +2025-10-31 16:19:43,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.91, mean=-0.1003, std=2.732, absmax=10.91 +2025-10-31 16:19:43,938 ERROR: Encountered non-finite generator loss at iter 1334; skipping update. +2025-10-31 16:19:43,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:43,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:43,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:43,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:43,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.67, mean=-0.3634, std=2.949, absmax=13.86 +2025-10-31 16:19:43,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.981, mean=-0.3382, std=2.488, absmax=10.32 +2025-10-31 16:19:44,439 ERROR: Encountered non-finite generator loss at iter 1335; skipping update. +2025-10-31 16:19:44,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:44,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:44,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.24, mean=-0.1098, std=2.854, absmax=12.02 +2025-10-31 16:19:44,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.829, max=10.31, mean=-0.08196, std=2.465, absmax=10.31 +2025-10-31 16:19:44,941 ERROR: Encountered non-finite generator loss at iter 1336; skipping update. +2025-10-31 16:19:44,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:44,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:44,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:44,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:44,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.15, mean=-0.2586, std=2.517, absmax=12.15 +2025-10-31 16:19:44,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.761, max=8.902, mean=-0.2434, std=2.132, absmax=8.902 +2025-10-31 16:19:45,444 ERROR: Encountered non-finite generator loss at iter 1337; skipping update. +2025-10-31 16:19:45,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:45,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:45,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.22, mean=0.1428, std=3.625, absmax=14.22 +2025-10-31 16:19:45,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=11.6, mean=0.1145, std=3.031, absmax=11.6 +2025-10-31 16:19:45,944 ERROR: Encountered non-finite generator loss at iter 1338; skipping update. +2025-10-31 16:19:45,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:45,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:45,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:45,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:45,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.29, mean=-0.2603, std=2.842, absmax=11.82 +2025-10-31 16:19:45,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.871, max=7.94, mean=-0.2538, std=2.365, absmax=9.871 +2025-10-31 16:19:46,447 ERROR: Encountered non-finite generator loss at iter 1339; skipping update. +2025-10-31 16:19:46,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:46,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:46,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=11.25, mean=-0.227, std=3.035, absmax=14.48 +2025-10-31 16:19:46,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=8.686, mean=-0.1946, std=2.575, absmax=11.55 +2025-10-31 16:19:46,950 ERROR: Encountered non-finite generator loss at iter 1340; skipping update. +2025-10-31 16:19:46,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:46,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:46,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:46,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:46,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15, mean=0.02149, std=3.712, absmax=15 +2025-10-31 16:19:46,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=14.71, mean=0.013, std=3.299, absmax=14.71 +2025-10-31 16:19:47,456 ERROR: Encountered non-finite generator loss at iter 1341; skipping update. +2025-10-31 16:19:47,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,463 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:47,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:47,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=15.41, mean=0.05525, std=3.25, absmax=15.41 +2025-10-31 16:19:47,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=14.28, mean=0.06057, std=2.814, absmax=14.28 +2025-10-31 16:19:47,960 ERROR: Encountered non-finite generator loss at iter 1342; skipping update. +2025-10-31 16:19:47,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:47,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:47,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:47,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:47,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.65, mean=-0.1029, std=2.717, absmax=12.65 +2025-10-31 16:19:47,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.329, mean=-0.06398, std=2.452, absmax=10.46 +2025-10-31 16:19:48,462 ERROR: Encountered non-finite generator loss at iter 1343; skipping update. +2025-10-31 16:19:48,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:48,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:48,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.11, max=17.98, mean=-0.1809, std=2.929, absmax=17.98 +2025-10-31 16:19:48,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=10.06, mean=-0.2111, std=2.419, absmax=11.45 +2025-10-31 16:19:48,965 ERROR: Encountered non-finite generator loss at iter 1344; skipping update. +2025-10-31 16:19:48,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:48,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:48,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:48,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:48,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=19.33, mean=-0.03867, std=3.427, absmax=19.33 +2025-10-31 16:19:48,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=11.68, mean=-0.07984, std=2.76, absmax=11.68 +2025-10-31 16:19:49,470 ERROR: Encountered non-finite generator loss at iter 1345; skipping update. +2025-10-31 16:19:49,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:49,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:49,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.68, mean=-0.2372, std=3.216, absmax=13.68 +2025-10-31 16:19:49,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.121, mean=-0.2076, std=2.518, absmax=10.25 +2025-10-31 16:19:49,971 ERROR: Encountered non-finite generator loss at iter 1346; skipping update. +2025-10-31 16:19:49,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:49,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:49,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:49,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:49,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13, mean=-0.092, std=2.972, absmax=13 +2025-10-31 16:19:49,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.476, mean=-0.05683, std=2.457, absmax=10.09 +2025-10-31 16:19:50,476 ERROR: Encountered non-finite generator loss at iter 1347; skipping update. +2025-10-31 16:19:50,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:50,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:50,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.7, mean=0.157, std=3.257, absmax=13.7 +2025-10-31 16:19:50,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=10.17, mean=0.06375, std=2.608, absmax=10.17 +2025-10-31 16:19:50,979 ERROR: Encountered non-finite generator loss at iter 1348; skipping update. +2025-10-31 16:19:50,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:50,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:50,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:50,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:50,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.03, mean=-0.1668, std=3.031, absmax=12.77 +2025-10-31 16:19:50,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=9.465, mean=-0.1619, std=2.566, absmax=11.51 +2025-10-31 16:19:51,481 ERROR: Encountered non-finite generator loss at iter 1349; skipping update. +2025-10-31 16:19:51,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:51,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:51,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=11.46, mean=-0.1269, std=2.632, absmax=11.46 +2025-10-31 16:19:51,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.304, max=8.583, mean=-0.09082, std=2.224, absmax=8.583 +2025-10-31 16:19:51,984 ERROR: Encountered non-finite generator loss at iter 1350; skipping update. +2025-10-31 16:19:51,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:51,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:51,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:51,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:51,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.11, mean=-0.03136, std=3.208, absmax=12.11 +2025-10-31 16:19:51,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=8.865, mean=-0.06903, std=2.652, absmax=10.2 +2025-10-31 16:19:52,486 ERROR: Encountered non-finite generator loss at iter 1351; skipping update. +2025-10-31 16:19:52,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:52,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:52,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:52,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:52,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:52,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:52,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:52,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:52,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.72, mean=-0.2828, std=2.766, absmax=12.14 +2025-10-31 16:19:52,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.979, max=9.998, mean=-0.2136, std=2.353, absmax=9.998 +2025-10-31 16:19:52,997 ERROR: Encountered non-finite generator loss at iter 1352; skipping update. +2025-10-31 16:19:52,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:52,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:52,999 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:53,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:53,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:53,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:53,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:53,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:53,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.7, max=12.8, mean=-0.243, std=2.636, absmax=17.7 +2025-10-31 16:19:53,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=8.209, mean=-0.2261, std=2.259, absmax=10.31 +2025-10-31 16:19:53,500 ERROR: Encountered non-finite generator loss at iter 1353; skipping update. +2025-10-31 16:19:53,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:53,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:53,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:53,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:53,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:53,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:53,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:53,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:53,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.58, mean=-0.1714, std=2.814, absmax=12.58 +2025-10-31 16:19:53,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.431, max=9.755, mean=-0.1136, std=2.286, absmax=9.755 +2025-10-31 16:19:54,001 ERROR: Encountered non-finite generator loss at iter 1354; skipping update. +2025-10-31 16:19:54,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:54,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:54,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.72, mean=-0.07791, std=2.907, absmax=11.72 +2025-10-31 16:19:54,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.258, max=10.61, mean=-0.06841, std=2.531, absmax=10.61 +2025-10-31 16:19:54,505 ERROR: Encountered non-finite generator loss at iter 1355; skipping update. +2025-10-31 16:19:54,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:54,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:54,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:54,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:54,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.44, mean=-0.0243, std=2.849, absmax=12.85 +2025-10-31 16:19:54,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.5, max=9.651, mean=-0.03174, std=2.293, absmax=9.651 +2025-10-31 16:19:55,007 ERROR: Encountered non-finite generator loss at iter 1356; skipping update. +2025-10-31 16:19:55,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:55,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:55,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.47, mean=-0.05794, std=2.564, absmax=12.47 +2025-10-31 16:19:55,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.56, max=8.159, mean=-0.09705, std=2.135, absmax=8.56 +2025-10-31 16:19:55,511 ERROR: Encountered non-finite generator loss at iter 1357; skipping update. +2025-10-31 16:19:55,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:55,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:55,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:55,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:55,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=14.78, mean=-0.1517, std=3.006, absmax=14.78 +2025-10-31 16:19:55,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=12.22, mean=-0.1535, std=2.572, absmax=12.22 +2025-10-31 16:19:56,014 ERROR: Encountered non-finite generator loss at iter 1358; skipping update. +2025-10-31 16:19:56,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:56,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:56,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=15.42, mean=0.1494, std=3.585, absmax=15.42 +2025-10-31 16:19:56,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=12.75, mean=0.09344, std=3.037, absmax=12.75 +2025-10-31 16:19:56,516 ERROR: Encountered non-finite generator loss at iter 1359; skipping update. +2025-10-31 16:19:56,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:56,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:56,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:56,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:56,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=15.09, mean=-0.2784, std=3.25, absmax=15.09 +2025-10-31 16:19:56,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=12.64, mean=-0.2603, std=2.662, absmax=12.64 +2025-10-31 16:19:57,019 ERROR: Encountered non-finite generator loss at iter 1360; skipping update. +2025-10-31 16:19:57,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:57,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:57,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=10.61, mean=-0.2601, std=2.516, absmax=13.72 +2025-10-31 16:19:57,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=9.289, mean=-0.2482, std=2.113, absmax=9.699 +2025-10-31 16:19:57,522 ERROR: Encountered non-finite generator loss at iter 1361; skipping update. +2025-10-31 16:19:57,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:57,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:57,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:57,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:57,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.27, mean=-0.145, std=3.136, absmax=13.14 +2025-10-31 16:19:57,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.262, max=9.632, mean=-0.1743, std=2.631, absmax=9.632 +2025-10-31 16:19:58,024 ERROR: Encountered non-finite generator loss at iter 1362; skipping update. +2025-10-31 16:19:58,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:58,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:58,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=15.7, mean=-0.03777, std=3.197, absmax=15.7 +2025-10-31 16:19:58,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.354, max=10.54, mean=-0.02488, std=2.633, absmax=10.54 +2025-10-31 16:19:58,529 ERROR: Encountered non-finite generator loss at iter 1363; skipping update. +2025-10-31 16:19:58,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:58,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:58,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:58,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:58,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=12.09, mean=-0.3126, std=3.141, absmax=14.09 +2025-10-31 16:19:58,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.234, mean=-0.3294, std=2.671, absmax=10.75 +2025-10-31 16:19:59,033 ERROR: Encountered non-finite generator loss at iter 1364; skipping update. +2025-10-31 16:19:59,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:59,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:59,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=15.63, mean=-0.1315, std=3.153, absmax=15.63 +2025-10-31 16:19:59,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=12.91, mean=-0.1438, std=2.673, absmax=12.91 +2025-10-31 16:19:59,535 ERROR: Encountered non-finite generator loss at iter 1365; skipping update. +2025-10-31 16:19:59,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,540 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:19:59,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:19:59,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:19:59,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:19:59,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.24, mean=-0.3133, std=3.387, absmax=13.75 +2025-10-31 16:19:59,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=10.09, mean=-0.3263, std=2.744, absmax=11.46 +2025-10-31 16:20:00,039 ERROR: Encountered non-finite generator loss at iter 1366; skipping update. +2025-10-31 16:20:00,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,044 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,045 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,046 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:00,047 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:00,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=12.28, mean=-0.09622, std=2.793, absmax=12.28 +2025-10-31 16:20:00,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.986, max=10.37, mean=-0.1477, std=2.472, absmax=10.37 +2025-10-31 16:20:00,542 ERROR: Encountered non-finite generator loss at iter 1367; skipping update. +2025-10-31 16:20:00,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:00,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:00,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:00,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:00,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=10.87, mean=-0.1766, std=3.224, absmax=14.62 +2025-10-31 16:20:00,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.967, max=9.689, mean=-0.1365, std=2.746, absmax=9.689 +2025-10-31 16:20:01,044 ERROR: Encountered non-finite generator loss at iter 1368; skipping update. +2025-10-31 16:20:01,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:01,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:01,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.65, mean=0.06278, std=2.792, absmax=12.56 +2025-10-31 16:20:01,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.409, max=8.675, mean=0.006851, std=2.195, absmax=8.675 +2025-10-31 16:20:01,549 ERROR: Encountered non-finite generator loss at iter 1369; skipping update. +2025-10-31 16:20:01,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:01,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:01,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:01,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:01,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13, mean=-0.197, std=3.02, absmax=13 +2025-10-31 16:20:01,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.734, mean=-0.1856, std=2.531, absmax=10.1 +2025-10-31 16:20:02,051 ERROR: Encountered non-finite generator loss at iter 1370; skipping update. +2025-10-31 16:20:02,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:02,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:02,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.79, mean=-0.1229, std=3.027, absmax=13.65 +2025-10-31 16:20:02,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=9.845, mean=-0.1339, std=2.487, absmax=9.845 +2025-10-31 16:20:02,555 ERROR: Encountered non-finite generator loss at iter 1371; skipping update. +2025-10-31 16:20:02,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:02,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:02,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:02,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:02,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=10.53, mean=-0.2104, std=2.469, absmax=12.25 +2025-10-31 16:20:02,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.733, max=8.3, mean=-0.1751, std=2.166, absmax=9.733 +2025-10-31 16:20:03,059 ERROR: Encountered non-finite generator loss at iter 1372; skipping update. +2025-10-31 16:20:03,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:03,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:03,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.43, mean=-0.00335, std=3.216, absmax=14.43 +2025-10-31 16:20:03,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=12.08, mean=0.01172, std=2.964, absmax=12.08 +2025-10-31 16:20:03,564 ERROR: Encountered non-finite generator loss at iter 1373; skipping update. +2025-10-31 16:20:03,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:03,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:03,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:03,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:03,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.7, mean=-0.1395, std=2.989, absmax=12.35 +2025-10-31 16:20:03,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=11.1, mean=-0.1589, std=2.589, absmax=11.14 +2025-10-31 16:20:04,067 ERROR: Encountered non-finite generator loss at iter 1374; skipping update. +2025-10-31 16:20:04,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:04,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:04,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=15.7, mean=-0.2107, std=2.722, absmax=15.7 +2025-10-31 16:20:04,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=8.858, mean=-0.1934, std=2.308, absmax=9.045 +2025-10-31 16:20:04,570 ERROR: Encountered non-finite generator loss at iter 1375; skipping update. +2025-10-31 16:20:04,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:04,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:04,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:04,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:04,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.92, mean=-0.2322, std=3.008, absmax=14.92 +2025-10-31 16:20:04,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.513, mean=-0.2127, std=2.443, absmax=10.23 +2025-10-31 16:20:05,074 ERROR: Encountered non-finite generator loss at iter 1376; skipping update. +2025-10-31 16:20:05,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,080 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:05,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:05,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.11, mean=0.1127, std=3.099, absmax=15.11 +2025-10-31 16:20:05,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=11.61, mean=0.06404, std=2.541, absmax=11.61 +2025-10-31 16:20:05,577 ERROR: Encountered non-finite generator loss at iter 1377; skipping update. +2025-10-31 16:20:05,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:05,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:05,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:05,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:05,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=10.67, mean=-0.258, std=2.523, absmax=12.6 +2025-10-31 16:20:05,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=7.491, mean=-0.2786, std=2.265, absmax=10.16 +2025-10-31 16:20:06,079 ERROR: Encountered non-finite generator loss at iter 1378; skipping update. +2025-10-31 16:20:06,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:06,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:06,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=10.22, mean=-0.1178, std=2.855, absmax=11.73 +2025-10-31 16:20:06,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.745, max=9.38, mean=-0.1142, std=2.672, absmax=9.745 +2025-10-31 16:20:06,582 ERROR: Encountered non-finite generator loss at iter 1379; skipping update. +2025-10-31 16:20:06,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:06,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:06,589 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:06,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:06,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=10.14, mean=-0.2629, std=2.38, absmax=11.35 +2025-10-31 16:20:06,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=6.481, mean=-0.2782, std=2.096, absmax=9.601 +2025-10-31 16:20:07,086 ERROR: Encountered non-finite generator loss at iter 1380; skipping update. +2025-10-31 16:20:07,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:07,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:07,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.24, mean=-0.2768, std=2.22, absmax=11.24 +2025-10-31 16:20:07,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.344, max=8.466, mean=-0.2424, std=1.919, absmax=8.466 +2025-10-31 16:20:07,591 ERROR: Encountered non-finite generator loss at iter 1381; skipping update. +2025-10-31 16:20:07,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:07,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:07,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:07,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:07,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=11.86, mean=-0.1731, std=2.479, absmax=11.86 +2025-10-31 16:20:07,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.539, max=9.834, mean=-0.1474, std=2.257, absmax=9.834 +2025-10-31 16:20:08,096 ERROR: Encountered non-finite generator loss at iter 1382; skipping update. +2025-10-31 16:20:08,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:08,103 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:08,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.02, mean=-0.2514, std=3.102, absmax=13.67 +2025-10-31 16:20:08,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.042, mean=-0.2751, std=2.674, absmax=10.95 +2025-10-31 16:20:08,600 ERROR: Encountered non-finite generator loss at iter 1383; skipping update. +2025-10-31 16:20:08,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:08,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:08,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:08,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:08,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.73, mean=-0.3538, std=2.702, absmax=13.75 +2025-10-31 16:20:08,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.907, mean=-0.3147, std=2.197, absmax=10.04 +2025-10-31 16:20:09,104 ERROR: Encountered non-finite generator loss at iter 1384; skipping update. +2025-10-31 16:20:09,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:09,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:09,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.51, mean=0.02741, std=3.239, absmax=12.51 +2025-10-31 16:20:09,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.42, mean=0.03218, std=2.787, absmax=10.42 +2025-10-31 16:20:09,608 ERROR: Encountered non-finite generator loss at iter 1385; skipping update. +2025-10-31 16:20:09,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:09,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:09,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:09,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:09,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.98, max=14.4, mean=0.188, std=3.976, absmax=16.98 +2025-10-31 16:20:09,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=12.68, mean=0.1272, std=3.48, absmax=12.68 +2025-10-31 16:20:10,112 ERROR: Encountered non-finite generator loss at iter 1386; skipping update. +2025-10-31 16:20:10,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:10,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:10,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.72, mean=-0.12, std=2.554, absmax=13.72 +2025-10-31 16:20:10,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.758, max=11.82, mean=-0.1273, std=2.251, absmax=11.82 +2025-10-31 16:20:10,613 ERROR: Encountered non-finite generator loss at iter 1387; skipping update. +2025-10-31 16:20:10,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:10,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:10,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:10,621 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:10,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=9.842, mean=-0.2798, std=2.812, absmax=12.51 +2025-10-31 16:20:10,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.607, max=7.956, mean=-0.238, std=2.534, absmax=9.607 +2025-10-31 16:20:11,118 ERROR: Encountered non-finite generator loss at iter 1388; skipping update. +2025-10-31 16:20:11,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:11,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:11,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=14.13, mean=-0.03772, std=3.252, absmax=14.13 +2025-10-31 16:20:11,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.902, max=12.26, mean=-0.04667, std=2.684, absmax=12.26 +2025-10-31 16:20:11,622 ERROR: Encountered non-finite generator loss at iter 1389; skipping update. +2025-10-31 16:20:11,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:11,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:11,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:11,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:11,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.47, mean=-0.2972, std=2.911, absmax=12.88 +2025-10-31 16:20:11,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=7.756, mean=-0.2986, std=2.358, absmax=9.98 +2025-10-31 16:20:12,127 ERROR: Encountered non-finite generator loss at iter 1390; skipping update. +2025-10-31 16:20:12,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:12,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:12,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=14.51, mean=-0.02763, std=3.096, absmax=14.51 +2025-10-31 16:20:12,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=12.68, mean=-0.04611, std=2.453, absmax=12.68 +2025-10-31 16:20:12,631 ERROR: Encountered non-finite generator loss at iter 1391; skipping update. +2025-10-31 16:20:12,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:12,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:12,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:12,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:12,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=12.41, mean=-0.2719, std=2.717, absmax=14.4 +2025-10-31 16:20:12,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.992, max=7.99, mean=-0.29, std=2.266, absmax=9.992 +2025-10-31 16:20:13,136 ERROR: Encountered non-finite generator loss at iter 1392; skipping update. +2025-10-31 16:20:13,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:13,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:13,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.94, mean=-0.02169, std=3.204, absmax=14.29 +2025-10-31 16:20:13,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=12.28, mean=-0.002254, std=2.804, absmax=12.28 +2025-10-31 16:20:13,640 ERROR: Encountered non-finite generator loss at iter 1393; skipping update. +2025-10-31 16:20:13,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:13,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:13,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:13,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:13,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.81, mean=-0.2568, std=3.28, absmax=13.81 +2025-10-31 16:20:13,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=8.726, mean=-0.2456, std=2.669, absmax=11.06 +2025-10-31 16:20:14,143 ERROR: Encountered non-finite generator loss at iter 1394; skipping update. +2025-10-31 16:20:14,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:14,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:14,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.13, mean=-0.03199, std=2.639, absmax=12.5 +2025-10-31 16:20:14,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.59, mean=-0.03838, std=2.268, absmax=10.37 +2025-10-31 16:20:14,648 ERROR: Encountered non-finite generator loss at iter 1395; skipping update. +2025-10-31 16:20:14,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:14,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:14,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:14,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:14,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.22, mean=-0.1704, std=2.804, absmax=14.61 +2025-10-31 16:20:14,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=9.882, mean=-0.1022, std=2.482, absmax=9.882 +2025-10-31 16:20:15,155 ERROR: Encountered non-finite generator loss at iter 1396; skipping update. +2025-10-31 16:20:15,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:15,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:15,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.03, mean=-0.2003, std=2.816, absmax=14.32 +2025-10-31 16:20:15,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.713, mean=-0.2243, std=2.392, absmax=10.3 +2025-10-31 16:20:15,661 ERROR: Encountered non-finite generator loss at iter 1397; skipping update. +2025-10-31 16:20:15,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:15,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:15,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:15,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:15,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.4, mean=-0.2587, std=2.959, absmax=14.21 +2025-10-31 16:20:15,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=8.92, mean=-0.2487, std=2.432, absmax=10.5 +2025-10-31 16:20:16,164 ERROR: Encountered non-finite generator loss at iter 1398; skipping update. +2025-10-31 16:20:16,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:16,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:16,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.12, mean=-0.2742, std=2.952, absmax=15.17 +2025-10-31 16:20:16,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.098, mean=-0.2386, std=2.423, absmax=10.84 +2025-10-31 16:20:16,669 ERROR: Encountered non-finite generator loss at iter 1399; skipping update. +2025-10-31 16:20:16,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:16,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:16,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:16,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:16,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.06, mean=-0.1591, std=3.004, absmax=12.06 +2025-10-31 16:20:16,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=8.259, mean=-0.1627, std=2.399, absmax=10.03 +2025-10-31 16:20:17,175 ERROR: Encountered non-finite generator loss at iter 1400; skipping update. +2025-10-31 16:20:17,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,179 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:17,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:17,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.74, mean=-0.1705, std=3.145, absmax=13.74 +2025-10-31 16:20:17,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.74, mean=-0.188, std=2.847, absmax=11.74 +2025-10-31 16:20:17,183 INFO: [29..][epoch: 0, step: 1,400, lr:(1.500e-04,)] [eta: 2 days, 0:07:39, time (data): 0.504 (0.000)] +2025-10-31 16:20:17,677 ERROR: Encountered non-finite generator loss at iter 1401; skipping update. +2025-10-31 16:20:17,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:17,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:17,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:17,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:17,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.42, mean=-0.1519, std=2.794, absmax=14.42 +2025-10-31 16:20:17,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.67, mean=-0.1537, std=2.391, absmax=11.6 +2025-10-31 16:20:18,181 ERROR: Encountered non-finite generator loss at iter 1402; skipping update. +2025-10-31 16:20:18,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:18,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:18,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.62, mean=-0.1951, std=2.497, absmax=11.62 +2025-10-31 16:20:18,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.264, max=10.08, mean=-0.1517, std=2.236, absmax=10.08 +2025-10-31 16:20:18,682 ERROR: Encountered non-finite generator loss at iter 1403; skipping update. +2025-10-31 16:20:18,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:18,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:18,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:18,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:18,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=11.23, mean=-0.3462, std=3.061, absmax=15.51 +2025-10-31 16:20:18,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.99, max=10.01, mean=-0.3384, std=2.855, absmax=12.99 +2025-10-31 16:20:19,182 ERROR: Encountered non-finite generator loss at iter 1404; skipping update. +2025-10-31 16:20:19,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:19,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:19,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.77, mean=-0.1555, std=3.061, absmax=13.77 +2025-10-31 16:20:19,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.76, mean=-0.1318, std=2.462, absmax=10.76 +2025-10-31 16:20:19,682 ERROR: Encountered non-finite generator loss at iter 1405; skipping update. +2025-10-31 16:20:19,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:19,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:19,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:19,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:19,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.83, mean=-0.1459, std=2.453, absmax=12.83 +2025-10-31 16:20:19,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.402, max=10.64, mean=-0.1662, std=1.994, absmax=10.64 +2025-10-31 16:20:20,183 ERROR: Encountered non-finite generator loss at iter 1406; skipping update. +2025-10-31 16:20:20,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:20,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:20,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=17.18, mean=-0.15, std=3.276, absmax=17.18 +2025-10-31 16:20:20,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.84, max=10.34, mean=-0.1157, std=2.712, absmax=12.84 +2025-10-31 16:20:20,689 ERROR: Encountered non-finite generator loss at iter 1407; skipping update. +2025-10-31 16:20:20,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:20,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:20,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:20,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:20,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.45, mean=-0.3275, std=3.1, absmax=13.91 +2025-10-31 16:20:20,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=10.24, mean=-0.2966, std=2.749, absmax=11.08 +2025-10-31 16:20:21,193 ERROR: Encountered non-finite generator loss at iter 1408; skipping update. +2025-10-31 16:20:21,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:21,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:21,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.09, mean=-0.1225, std=2.615, absmax=13.09 +2025-10-31 16:20:21,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.91, max=11.03, mean=-0.1186, std=2.273, absmax=11.03 +2025-10-31 16:20:21,694 ERROR: Encountered non-finite generator loss at iter 1409; skipping update. +2025-10-31 16:20:21,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:21,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:21,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:21,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:21,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.21, mean=-0.08918, std=2.943, absmax=13.21 +2025-10-31 16:20:21,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.591, max=11.82, mean=-0.06938, std=2.522, absmax=11.82 +2025-10-31 16:20:22,198 ERROR: Encountered non-finite generator loss at iter 1410; skipping update. +2025-10-31 16:20:22,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:22,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:22,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.88, mean=-0.2511, std=2.788, absmax=12.88 +2025-10-31 16:20:22,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=12.54, mean=-0.2181, std=2.405, absmax=12.54 +2025-10-31 16:20:22,704 ERROR: Encountered non-finite generator loss at iter 1411; skipping update. +2025-10-31 16:20:22,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:22,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:22,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:22,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:22,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=19.62, mean=-0.01878, std=3.323, absmax=19.62 +2025-10-31 16:20:22,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=17.67, mean=-0.07772, std=2.722, absmax=17.67 +2025-10-31 16:20:23,207 ERROR: Encountered non-finite generator loss at iter 1412; skipping update. +2025-10-31 16:20:23,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:23,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:23,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=14.12, mean=-0.1041, std=3.22, absmax=14.12 +2025-10-31 16:20:23,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.706, mean=-0.08117, std=2.618, absmax=10.66 +2025-10-31 16:20:23,714 ERROR: Encountered non-finite generator loss at iter 1413; skipping update. +2025-10-31 16:20:23,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,716 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:23,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:23,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:23,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:23,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.71, mean=-0.1967, std=3.62, absmax=14.31 +2025-10-31 16:20:23,723 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=9.427, mean=-0.1955, std=3.193, absmax=12.2 +2025-10-31 16:20:24,216 ERROR: Encountered non-finite generator loss at iter 1414; skipping update. +2025-10-31 16:20:24,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:24,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:24,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.01, mean=-0.1193, std=2.997, absmax=13.01 +2025-10-31 16:20:24,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.317, mean=-0.1255, std=2.449, absmax=10.72 +2025-10-31 16:20:24,724 ERROR: Encountered non-finite generator loss at iter 1415; skipping update. +2025-10-31 16:20:24,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,728 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,729 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:24,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:24,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:24,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:24,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=15.84, mean=-0.2039, std=3.172, absmax=15.84 +2025-10-31 16:20:24,734 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=13.81, mean=-0.2101, std=2.642, absmax=13.81 +2025-10-31 16:20:25,227 ERROR: Encountered non-finite generator loss at iter 1416; skipping update. +2025-10-31 16:20:25,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:25,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:25,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=10.48, mean=-0.2255, std=2.545, absmax=10.7 +2025-10-31 16:20:25,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.203, max=8.583, mean=-0.2318, std=2.219, absmax=9.203 +2025-10-31 16:20:25,735 ERROR: Encountered non-finite generator loss at iter 1417; skipping update. +2025-10-31 16:20:25,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:25,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:25,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:25,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:25,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.18, mean=-0.3613, std=3.084, absmax=13.96 +2025-10-31 16:20:25,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=7.971, mean=-0.279, std=2.566, absmax=12.28 +2025-10-31 16:20:26,236 ERROR: Encountered non-finite generator loss at iter 1418; skipping update. +2025-10-31 16:20:26,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:26,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:26,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.87, mean=0.01815, std=3.104, absmax=12.87 +2025-10-31 16:20:26,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.941, max=10.35, mean=-0.07306, std=2.528, absmax=10.35 +2025-10-31 16:20:26,737 ERROR: Encountered non-finite generator loss at iter 1419; skipping update. +2025-10-31 16:20:26,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:26,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:26,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:26,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:26,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.4, mean=-0.1321, std=2.716, absmax=11.92 +2025-10-31 16:20:26,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=9.578, mean=-0.1764, std=2.338, absmax=9.882 +2025-10-31 16:20:27,239 ERROR: Encountered non-finite generator loss at iter 1420; skipping update. +2025-10-31 16:20:27,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:27,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:27,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.5, mean=-0.1441, std=3.028, absmax=13.5 +2025-10-31 16:20:27,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=12.49, mean=-0.1165, std=2.531, absmax=12.49 +2025-10-31 16:20:27,741 ERROR: Encountered non-finite generator loss at iter 1421; skipping update. +2025-10-31 16:20:27,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:27,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:27,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:27,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:27,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.69, mean=0.1109, std=3.533, absmax=13.69 +2025-10-31 16:20:27,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=11.46, mean=0.0834, std=2.846, absmax=11.46 +2025-10-31 16:20:28,243 ERROR: Encountered non-finite generator loss at iter 1422; skipping update. +2025-10-31 16:20:28,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:28,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:28,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=14.49, mean=0.04086, std=2.813, absmax=14.49 +2025-10-31 16:20:28,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.834, max=11.03, mean=0.01879, std=2.342, absmax=11.03 +2025-10-31 16:20:28,751 ERROR: Encountered non-finite generator loss at iter 1423; skipping update. +2025-10-31 16:20:28,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:28,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:28,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:28,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:28,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.1, mean=0.09189, std=3.139, absmax=13.1 +2025-10-31 16:20:28,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.447, max=10.34, mean=0.0271, std=2.564, absmax=10.34 +2025-10-31 16:20:29,253 ERROR: Encountered non-finite generator loss at iter 1424; skipping update. +2025-10-31 16:20:29,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,256 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:29,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:29,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.91, mean=-0.1457, std=2.629, absmax=12.91 +2025-10-31 16:20:29,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.048, max=7.75, mean=-0.1621, std=2.176, absmax=9.048 +2025-10-31 16:20:29,753 ERROR: Encountered non-finite generator loss at iter 1425; skipping update. +2025-10-31 16:20:29,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:29,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:29,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:29,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:29,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=14.35, mean=-0.1325, std=3.129, absmax=14.35 +2025-10-31 16:20:29,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.75, mean=-0.06224, std=2.802, absmax=11.75 +2025-10-31 16:20:30,256 ERROR: Encountered non-finite generator loss at iter 1426; skipping update. +2025-10-31 16:20:30,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:30,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:30,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.93, mean=-0.08053, std=3.204, absmax=13.93 +2025-10-31 16:20:30,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.4, mean=-0.07752, std=2.617, absmax=11.4 +2025-10-31 16:20:30,757 ERROR: Encountered non-finite generator loss at iter 1427; skipping update. +2025-10-31 16:20:30,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:30,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:30,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:30,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:30,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.07, mean=-0.276, std=2.956, absmax=14.03 +2025-10-31 16:20:30,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.276, mean=-0.2525, std=2.359, absmax=10.69 +2025-10-31 16:20:31,258 ERROR: Encountered non-finite generator loss at iter 1428; skipping update. +2025-10-31 16:20:31,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:31,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:31,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=15.21, mean=-0.2656, std=3.099, absmax=15.21 +2025-10-31 16:20:31,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.02, mean=-0.2761, std=2.682, absmax=10.21 +2025-10-31 16:20:31,760 ERROR: Encountered non-finite generator loss at iter 1429; skipping update. +2025-10-31 16:20:31,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:31,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:31,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:31,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:31,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.4, mean=-0.08561, std=3.076, absmax=13.4 +2025-10-31 16:20:31,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.884, max=9.871, mean=-0.07246, std=2.594, absmax=9.884 +2025-10-31 16:20:32,263 ERROR: Encountered non-finite generator loss at iter 1430; skipping update. +2025-10-31 16:20:32,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:32,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:32,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.83, mean=-0.195, std=3.298, absmax=13.83 +2025-10-31 16:20:32,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.94, mean=-0.2089, std=2.705, absmax=10.94 +2025-10-31 16:20:32,764 ERROR: Encountered non-finite generator loss at iter 1431; skipping update. +2025-10-31 16:20:32,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:32,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:32,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:32,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:32,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=10.86, mean=-0.1806, std=2.731, absmax=12.26 +2025-10-31 16:20:32,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.521, mean=-0.2028, std=2.351, absmax=10.16 +2025-10-31 16:20:33,265 ERROR: Encountered non-finite generator loss at iter 1432; skipping update. +2025-10-31 16:20:33,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:33,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:33,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.2, mean=-0.04644, std=3.179, absmax=12.5 +2025-10-31 16:20:33,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.633, mean=-0.05437, std=2.592, absmax=10.49 +2025-10-31 16:20:33,766 ERROR: Encountered non-finite generator loss at iter 1433; skipping update. +2025-10-31 16:20:33,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:33,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:33,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:33,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:33,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.57, mean=-0.1211, std=3.095, absmax=12.57 +2025-10-31 16:20:33,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.51, max=10.47, mean=-0.1211, std=2.518, absmax=10.47 +2025-10-31 16:20:34,267 ERROR: Encountered non-finite generator loss at iter 1434; skipping update. +2025-10-31 16:20:34,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:34,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:34,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.17, mean=-0.1123, std=3.272, absmax=14.59 +2025-10-31 16:20:34,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=9.917, mean=-0.0753, std=2.914, absmax=11.96 +2025-10-31 16:20:34,770 ERROR: Encountered non-finite generator loss at iter 1435; skipping update. +2025-10-31 16:20:34,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:34,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:34,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:34,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:34,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=13.25, mean=-0.0101, std=3.442, absmax=16.16 +2025-10-31 16:20:34,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.602, max=11.37, mean=0.0008488, std=2.774, absmax=11.37 +2025-10-31 16:20:35,269 ERROR: Encountered non-finite generator loss at iter 1436; skipping update. +2025-10-31 16:20:35,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:35,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:35,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=12.17, mean=-0.2416, std=3.309, absmax=14.96 +2025-10-31 16:20:35,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.82, max=10.47, mean=-0.2436, std=3.029, absmax=13.82 +2025-10-31 16:20:35,771 ERROR: Encountered non-finite generator loss at iter 1437; skipping update. +2025-10-31 16:20:35,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,774 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:35,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:35,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:35,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:35,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.19, mean=-0.1362, std=3.287, absmax=13.98 +2025-10-31 16:20:35,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=11.1, mean=-0.1902, std=2.846, absmax=12.66 +2025-10-31 16:20:36,274 ERROR: Encountered non-finite generator loss at iter 1438; skipping update. +2025-10-31 16:20:36,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:36,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:36,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.31, mean=-0.04044, std=3.249, absmax=12.32 +2025-10-31 16:20:36,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.925, max=8.919, mean=-0.04345, std=2.789, absmax=9.925 +2025-10-31 16:20:36,773 ERROR: Encountered non-finite generator loss at iter 1439; skipping update. +2025-10-31 16:20:36,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:36,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:36,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:36,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:36,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.18, mean=0.04441, std=3.368, absmax=13.01 +2025-10-31 16:20:36,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.834, mean=-0.02122, std=2.798, absmax=11.84 +2025-10-31 16:20:37,276 ERROR: Encountered non-finite generator loss at iter 1440; skipping update. +2025-10-31 16:20:37,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:37,284 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:37,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.92, mean=-0.05102, std=2.965, absmax=13.92 +2025-10-31 16:20:37,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.306, max=9.676, mean=-0.107, std=2.352, absmax=9.676 +2025-10-31 16:20:37,778 ERROR: Encountered non-finite generator loss at iter 1441; skipping update. +2025-10-31 16:20:37,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:37,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:37,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:37,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:37,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.07, mean=-0.2899, std=3.148, absmax=14.07 +2025-10-31 16:20:37,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.47, mean=-0.2917, std=2.616, absmax=11.11 +2025-10-31 16:20:38,279 ERROR: Encountered non-finite generator loss at iter 1442; skipping update. +2025-10-31 16:20:38,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:38,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:38,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=11.17, mean=-0.1972, std=3.01, absmax=14.15 +2025-10-31 16:20:38,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=9.639, mean=-0.1812, std=2.504, absmax=12.71 +2025-10-31 16:20:38,781 ERROR: Encountered non-finite generator loss at iter 1443; skipping update. +2025-10-31 16:20:38,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:38,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:38,786 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:38,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:38,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=16.35, mean=-0.2555, std=3.16, absmax=16.35 +2025-10-31 16:20:38,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.674, max=10.59, mean=-0.2445, std=2.611, absmax=10.59 +2025-10-31 16:20:39,280 ERROR: Encountered non-finite generator loss at iter 1444; skipping update. +2025-10-31 16:20:39,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,283 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,286 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:39,287 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:39,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.02, mean=-0.3195, std=2.831, absmax=12.1 +2025-10-31 16:20:39,289 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=7.223, mean=-0.3106, std=2.33, absmax=10.36 +2025-10-31 16:20:39,781 ERROR: Encountered non-finite generator loss at iter 1445; skipping update. +2025-10-31 16:20:39,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:39,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:39,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:39,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:39,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=14.62, mean=-0.1427, std=3.152, absmax=14.81 +2025-10-31 16:20:39,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.51, mean=-0.1374, std=2.659, absmax=12.51 +2025-10-31 16:20:40,282 ERROR: Encountered non-finite generator loss at iter 1446; skipping update. +2025-10-31 16:20:40,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:40,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:40,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.83, mean=-0.1853, std=2.547, absmax=12.74 +2025-10-31 16:20:40,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.884, max=8.186, mean=-0.1645, std=2.192, absmax=8.884 +2025-10-31 16:20:40,784 ERROR: Encountered non-finite generator loss at iter 1447; skipping update. +2025-10-31 16:20:40,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:40,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:40,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:40,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:40,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.49, mean=-0.1188, std=2.794, absmax=11.8 +2025-10-31 16:20:40,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=8.003, mean=-0.1648, std=2.318, absmax=9.333 +2025-10-31 16:20:41,286 ERROR: Encountered non-finite generator loss at iter 1448; skipping update. +2025-10-31 16:20:41,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:41,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:41,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.32, max=11.27, mean=-0.2531, std=2.39, absmax=11.27 +2025-10-31 16:20:41,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=7.991, mean=-0.2478, std=2.199, absmax=9.837 +2025-10-31 16:20:41,787 ERROR: Encountered non-finite generator loss at iter 1449; skipping update. +2025-10-31 16:20:41,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:41,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:41,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:41,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:41,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.49, mean=-0.2471, std=2.693, absmax=12.46 +2025-10-31 16:20:41,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=7.865, mean=-0.2078, std=2.295, absmax=9.91 +2025-10-31 16:20:42,291 ERROR: Encountered non-finite generator loss at iter 1450; skipping update. +2025-10-31 16:20:42,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:42,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:42,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=11.76, mean=-0.1662, std=3.113, absmax=13.15 +2025-10-31 16:20:42,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.796, max=9.721, mean=-0.187, std=2.579, absmax=9.796 +2025-10-31 16:20:42,792 ERROR: Encountered non-finite generator loss at iter 1451; skipping update. +2025-10-31 16:20:42,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:42,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:42,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:42,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:42,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.17, mean=-0.2216, std=2.709, absmax=12.65 +2025-10-31 16:20:42,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.465, max=8.922, mean=-0.2135, std=2.23, absmax=9.465 +2025-10-31 16:20:43,295 ERROR: Encountered non-finite generator loss at iter 1452; skipping update. +2025-10-31 16:20:43,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:43,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:43,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=12.13, mean=-0.1878, std=2.423, absmax=12.13 +2025-10-31 16:20:43,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.701, max=8.589, mean=-0.2312, std=1.924, absmax=8.701 +2025-10-31 16:20:43,797 ERROR: Encountered non-finite generator loss at iter 1453; skipping update. +2025-10-31 16:20:43,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:43,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:43,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:43,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:43,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.28, mean=-0.3532, std=3.024, absmax=13.41 +2025-10-31 16:20:43,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=8.488, mean=-0.314, std=2.441, absmax=11.25 +2025-10-31 16:20:44,300 ERROR: Encountered non-finite generator loss at iter 1454; skipping update. +2025-10-31 16:20:44,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:44,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:44,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.95, max=12.83, mean=-0.2699, std=3.644, absmax=15.95 +2025-10-31 16:20:44,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=12.03, mean=-0.2608, std=3.04, absmax=12.03 +2025-10-31 16:20:44,801 ERROR: Encountered non-finite generator loss at iter 1455; skipping update. +2025-10-31 16:20:44,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:44,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:44,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:44,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:44,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=11.57, mean=-0.3721, std=3.373, absmax=14.29 +2025-10-31 16:20:44,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.31, max=9.37, mean=-0.3166, std=2.988, absmax=13.31 +2025-10-31 16:20:45,304 ERROR: Encountered non-finite generator loss at iter 1456; skipping update. +2025-10-31 16:20:45,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:45,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:45,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=11.28, mean=-0.2914, std=2.839, absmax=15.24 +2025-10-31 16:20:45,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.52, max=10.6, mean=-0.2983, std=2.468, absmax=14.52 +2025-10-31 16:20:45,808 ERROR: Encountered non-finite generator loss at iter 1457; skipping update. +2025-10-31 16:20:45,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:45,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:45,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:45,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:45,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=10.97, mean=-0.24, std=2.753, absmax=12.4 +2025-10-31 16:20:45,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.359, max=7.464, mean=-0.2146, std=2.28, absmax=9.359 +2025-10-31 16:20:46,311 ERROR: Encountered non-finite generator loss at iter 1458; skipping update. +2025-10-31 16:20:46,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:46,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:46,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.37, mean=-0.2548, std=3.744, absmax=13.99 +2025-10-31 16:20:46,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.8, max=10.42, mean=-0.2332, std=3.163, absmax=12.8 +2025-10-31 16:20:46,813 ERROR: Encountered non-finite generator loss at iter 1459; skipping update. +2025-10-31 16:20:46,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:46,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:46,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:46,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:46,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=12.91, mean=-0.02229, std=3.476, absmax=13.8 +2025-10-31 16:20:46,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.82, mean=-0.002498, std=2.845, absmax=10.82 +2025-10-31 16:20:47,317 ERROR: Encountered non-finite generator loss at iter 1460; skipping update. +2025-10-31 16:20:47,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:47,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:47,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.67, mean=-0.121, std=2.871, absmax=12.67 +2025-10-31 16:20:47,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.79, mean=-0.147, std=2.374, absmax=10.79 +2025-10-31 16:20:47,820 ERROR: Encountered non-finite generator loss at iter 1461; skipping update. +2025-10-31 16:20:47,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:47,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:47,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:47,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:47,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.21, mean=-0.1384, std=3.158, absmax=13.48 +2025-10-31 16:20:47,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.64, mean=-0.1931, std=2.795, absmax=10.65 +2025-10-31 16:20:48,320 ERROR: Encountered non-finite generator loss at iter 1462; skipping update. +2025-10-31 16:20:48,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:48,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:48,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=9.776, mean=-0.3063, std=2.666, absmax=12.53 +2025-10-31 16:20:48,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.962, max=8.106, mean=-0.265, std=2.234, absmax=9.962 +2025-10-31 16:20:48,824 ERROR: Encountered non-finite generator loss at iter 1463; skipping update. +2025-10-31 16:20:48,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:48,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:48,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:48,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:48,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=17.3, mean=-0.07732, std=2.918, absmax=17.3 +2025-10-31 16:20:48,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=13.97, mean=-0.02944, std=2.507, absmax=13.97 +2025-10-31 16:20:49,328 ERROR: Encountered non-finite generator loss at iter 1464; skipping update. +2025-10-31 16:20:49,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:49,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:49,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.13, mean=-0.2303, std=2.606, absmax=12.82 +2025-10-31 16:20:49,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.419, max=8.799, mean=-0.2285, std=2.235, absmax=9.419 +2025-10-31 16:20:49,832 ERROR: Encountered non-finite generator loss at iter 1465; skipping update. +2025-10-31 16:20:49,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:49,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:49,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:49,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:49,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.56, mean=-0.2223, std=3.344, absmax=14.26 +2025-10-31 16:20:49,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.09, mean=-0.2527, std=2.677, absmax=11.65 +2025-10-31 16:20:50,335 ERROR: Encountered non-finite generator loss at iter 1466; skipping update. +2025-10-31 16:20:50,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:50,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:50,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13.8, mean=-0.009199, std=2.985, absmax=13.8 +2025-10-31 16:20:50,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.729, max=11.39, mean=-0.1055, std=2.563, absmax=11.39 +2025-10-31 16:20:50,839 ERROR: Encountered non-finite generator loss at iter 1467; skipping update. +2025-10-31 16:20:50,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:50,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:50,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:50,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:50,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=16.74, mean=-0.04151, std=3.214, absmax=16.74 +2025-10-31 16:20:50,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=10.71, mean=-0.1039, std=2.538, absmax=10.71 +2025-10-31 16:20:51,343 ERROR: Encountered non-finite generator loss at iter 1468; skipping update. +2025-10-31 16:20:51,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:51,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:51,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=11.52, mean=-0.3481, std=3.1, absmax=13.67 +2025-10-31 16:20:51,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=8.229, mean=-0.2888, std=2.584, absmax=12.53 +2025-10-31 16:20:51,845 ERROR: Encountered non-finite generator loss at iter 1469; skipping update. +2025-10-31 16:20:51,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:51,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:51,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:51,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:51,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.01, mean=-0.2417, std=2.566, absmax=12.53 +2025-10-31 16:20:51,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=7.985, mean=-0.2368, std=2.145, absmax=10.78 +2025-10-31 16:20:52,351 ERROR: Encountered non-finite generator loss at iter 1470; skipping update. +2025-10-31 16:20:52,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:52,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:52,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.75, mean=-0.08472, std=3.538, absmax=14.77 +2025-10-31 16:20:52,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=10.81, mean=-0.06666, std=2.986, absmax=12.06 +2025-10-31 16:20:52,850 ERROR: Encountered non-finite generator loss at iter 1471; skipping update. +2025-10-31 16:20:52,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,854 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:52,855 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:52,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:52,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:52,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=15.16, mean=0.1056, std=3.543, absmax=15.16 +2025-10-31 16:20:52,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=14.82, mean=0.123, std=3.252, absmax=14.82 +2025-10-31 16:20:53,354 ERROR: Encountered non-finite generator loss at iter 1472; skipping update. +2025-10-31 16:20:53,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,356 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:53,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:53,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.58, mean=-0.1321, std=2.673, absmax=13.52 +2025-10-31 16:20:53,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=9.183, mean=-0.1165, std=2.257, absmax=10.94 +2025-10-31 16:20:53,857 ERROR: Encountered non-finite generator loss at iter 1473; skipping update. +2025-10-31 16:20:53,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:53,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:53,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:53,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:53,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=14.54, mean=0.06433, std=2.975, absmax=14.54 +2025-10-31 16:20:53,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.036, max=11.32, mean=0.03237, std=2.36, absmax=11.32 +2025-10-31 16:20:54,360 ERROR: Encountered non-finite generator loss at iter 1474; skipping update. +2025-10-31 16:20:54,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:54,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:54,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.44, mean=-0.2358, std=2.521, absmax=14.8 +2025-10-31 16:20:54,370 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.29, max=10.54, mean=-0.1859, std=2.225, absmax=10.54 +2025-10-31 16:20:54,862 ERROR: Encountered non-finite generator loss at iter 1475; skipping update. +2025-10-31 16:20:54,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:54,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:54,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:54,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:54,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.41, mean=-0.1128, std=2.951, absmax=12.41 +2025-10-31 16:20:54,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.589, mean=-0.04276, std=2.664, absmax=10.67 +2025-10-31 16:20:55,367 ERROR: Encountered non-finite generator loss at iter 1476; skipping update. +2025-10-31 16:20:55,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:55,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:55,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.22, mean=0.03488, std=3.373, absmax=13.22 +2025-10-31 16:20:55,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=11.34, mean=0.009026, std=2.85, absmax=11.34 +2025-10-31 16:20:55,871 ERROR: Encountered non-finite generator loss at iter 1477; skipping update. +2025-10-31 16:20:55,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:55,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:55,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:55,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:55,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=10.43, mean=-0.3103, std=2.762, absmax=12.45 +2025-10-31 16:20:55,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.04, mean=-0.3009, std=2.338, absmax=10.25 +2025-10-31 16:20:56,375 ERROR: Encountered non-finite generator loss at iter 1478; skipping update. +2025-10-31 16:20:56,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:56,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:56,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=11.91, mean=-0.2505, std=2.494, absmax=11.91 +2025-10-31 16:20:56,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.788, max=9.54, mean=-0.2528, std=2.09, absmax=9.54 +2025-10-31 16:20:56,879 ERROR: Encountered non-finite generator loss at iter 1479; skipping update. +2025-10-31 16:20:56,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:56,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:56,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:56,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:56,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.13, mean=-0.2321, std=2.884, absmax=13.13 +2025-10-31 16:20:56,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.572, max=7.966, mean=-0.2513, std=2.323, absmax=9.572 +2025-10-31 16:20:57,382 ERROR: Encountered non-finite generator loss at iter 1480; skipping update. +2025-10-31 16:20:57,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:57,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:57,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.33, mean=-0.281, std=2.645, absmax=13.33 +2025-10-31 16:20:57,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.209, mean=-0.2796, std=2.299, absmax=10.12 +2025-10-31 16:20:57,884 ERROR: Encountered non-finite generator loss at iter 1481; skipping update. +2025-10-31 16:20:57,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:57,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:57,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:57,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:57,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.5, mean=-0.2016, std=3.395, absmax=13.5 +2025-10-31 16:20:57,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.85, max=9.362, mean=-0.2005, std=2.969, absmax=12.85 +2025-10-31 16:20:58,386 ERROR: Encountered non-finite generator loss at iter 1482; skipping update. +2025-10-31 16:20:58,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,389 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:58,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:58,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.42, mean=-0.2046, std=2.433, absmax=11.42 +2025-10-31 16:20:58,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.136, max=7.386, mean=-0.1981, std=2.141, absmax=9.136 +2025-10-31 16:20:58,888 ERROR: Encountered non-finite generator loss at iter 1483; skipping update. +2025-10-31 16:20:58,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:58,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:58,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:58,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:58,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.49, mean=-0.2247, std=2.543, absmax=13.16 +2025-10-31 16:20:58,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.368, mean=-0.2337, std=2.178, absmax=10.98 +2025-10-31 16:20:59,392 ERROR: Encountered non-finite generator loss at iter 1484; skipping update. +2025-10-31 16:20:59,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:59,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:59,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=11.5, mean=-0.2417, std=2.548, absmax=11.5 +2025-10-31 16:20:59,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.462, mean=-0.213, std=2.336, absmax=10.13 +2025-10-31 16:20:59,894 ERROR: Encountered non-finite generator loss at iter 1485; skipping update. +2025-10-31 16:20:59,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:20:59,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:20:59,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:20:59,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:20:59,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.96, mean=-0.2177, std=3.712, absmax=14.96 +2025-10-31 16:20:59,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=10.85, mean=-0.2455, std=3.083, absmax=12.66 +2025-10-31 16:21:00,395 ERROR: Encountered non-finite generator loss at iter 1486; skipping update. +2025-10-31 16:21:00,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:00,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:00,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.66, mean=-0.193, std=2.897, absmax=12.66 +2025-10-31 16:21:00,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.111, max=9.183, mean=-0.1925, std=2.268, absmax=9.183 +2025-10-31 16:21:00,897 ERROR: Encountered non-finite generator loss at iter 1487; skipping update. +2025-10-31 16:21:00,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:00,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:00,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:00,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:00,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.94, max=12.66, mean=-0.09102, std=3.082, absmax=16.94 +2025-10-31 16:21:00,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.926, mean=-0.09501, std=2.58, absmax=10.73 +2025-10-31 16:21:01,398 ERROR: Encountered non-finite generator loss at iter 1488; skipping update. +2025-10-31 16:21:01,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:01,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:01,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.89, mean=-0.2008, std=3.135, absmax=14.44 +2025-10-31 16:21:01,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.94, mean=-0.1802, std=2.702, absmax=10.94 +2025-10-31 16:21:01,900 ERROR: Encountered non-finite generator loss at iter 1489; skipping update. +2025-10-31 16:21:01,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:01,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:01,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:01,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:01,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=10.63, mean=-0.1377, std=2.689, absmax=12.45 +2025-10-31 16:21:01,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.793, mean=-0.119, std=2.41, absmax=10.55 +2025-10-31 16:21:02,403 ERROR: Encountered non-finite generator loss at iter 1490; skipping update. +2025-10-31 16:21:02,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:02,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:02,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.81, mean=-0.09334, std=2.993, absmax=12.95 +2025-10-31 16:21:02,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.282, max=10.86, mean=-0.09241, std=2.471, absmax=10.86 +2025-10-31 16:21:02,905 ERROR: Encountered non-finite generator loss at iter 1491; skipping update. +2025-10-31 16:21:02,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:02,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:02,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:02,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:02,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.67, mean=-0.04308, std=3.092, absmax=13.67 +2025-10-31 16:21:02,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.74, mean=-0.02473, std=2.559, absmax=11.74 +2025-10-31 16:21:03,409 ERROR: Encountered non-finite generator loss at iter 1492; skipping update. +2025-10-31 16:21:03,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:03,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:03,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.09, mean=-0.2283, std=2.592, absmax=12 +2025-10-31 16:21:03,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.956, max=8.629, mean=-0.2236, std=2.128, absmax=8.956 +2025-10-31 16:21:03,911 ERROR: Encountered non-finite generator loss at iter 1493; skipping update. +2025-10-31 16:21:03,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:03,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:03,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:03,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:03,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.4, mean=-0.01913, std=2.797, absmax=13.4 +2025-10-31 16:21:03,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.401, max=11.4, mean=-0.0589, std=2.449, absmax=11.4 +2025-10-31 16:21:04,413 ERROR: Encountered non-finite generator loss at iter 1494; skipping update. +2025-10-31 16:21:04,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,416 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,419 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:04,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:04,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=14.35, mean=-0.1717, std=2.543, absmax=14.35 +2025-10-31 16:21:04,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.04, max=8.404, mean=-0.2053, std=2.073, absmax=9.04 +2025-10-31 16:21:04,915 ERROR: Encountered non-finite generator loss at iter 1495; skipping update. +2025-10-31 16:21:04,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:04,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:04,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:04,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:04,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=9.742, mean=-0.3054, std=2.829, absmax=13.16 +2025-10-31 16:21:04,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=7.693, mean=-0.2683, std=2.343, absmax=10.16 +2025-10-31 16:21:05,419 ERROR: Encountered non-finite generator loss at iter 1496; skipping update. +2025-10-31 16:21:05,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:05,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:05,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.21, mean=-0.2362, std=2.703, absmax=11.65 +2025-10-31 16:21:05,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.592, max=8.87, mean=-0.2213, std=2.245, absmax=9.592 +2025-10-31 16:21:05,920 ERROR: Encountered non-finite generator loss at iter 1497; skipping update. +2025-10-31 16:21:05,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:05,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:05,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:05,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:05,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.3, mean=-0.4261, std=3.247, absmax=14.3 +2025-10-31 16:21:05,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=10.42, mean=-0.3603, std=2.733, absmax=11.49 +2025-10-31 16:21:06,421 ERROR: Encountered non-finite generator loss at iter 1498; skipping update. +2025-10-31 16:21:06,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,427 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:06,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:06,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=10.97, mean=-0.3437, std=2.667, absmax=10.98 +2025-10-31 16:21:06,431 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.25, max=8.513, mean=-0.3254, std=2.28, absmax=9.25 +2025-10-31 16:21:06,922 ERROR: Encountered non-finite generator loss at iter 1499; skipping update. +2025-10-31 16:21:06,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,925 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:06,928 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:06,929 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:06,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:06,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=10.61, mean=-0.2731, std=2.604, absmax=11.51 +2025-10-31 16:21:06,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.495, max=8.626, mean=-0.2718, std=2.075, absmax=8.626 +2025-10-31 16:21:07,424 ERROR: Encountered non-finite generator loss at iter 1500; skipping update. +2025-10-31 16:21:07,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:07,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:07,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.88, mean=-0.0129, std=3.101, absmax=12.88 +2025-10-31 16:21:07,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.616, max=11.27, mean=-0.03191, std=2.724, absmax=11.27 +2025-10-31 16:21:07,434 INFO: [29..][epoch: 0, step: 1,500, lr:(1.500e-04,)] [eta: 1 day, 23:12:51, time (data): 0.503 (0.000)] +2025-10-31 16:21:07,925 ERROR: Encountered non-finite generator loss at iter 1501; skipping update. +2025-10-31 16:21:07,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:07,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:07,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:07,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:07,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.29, mean=0.1221, std=3.268, absmax=14.03 +2025-10-31 16:21:07,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.93, mean=0.08287, std=2.678, absmax=10.93 +2025-10-31 16:21:08,428 ERROR: Encountered non-finite generator loss at iter 1502; skipping update. +2025-10-31 16:21:08,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:08,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:08,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.44, mean=-0.3328, std=3.416, absmax=13.51 +2025-10-31 16:21:08,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.932, mean=-0.3148, std=2.786, absmax=10.78 +2025-10-31 16:21:08,930 ERROR: Encountered non-finite generator loss at iter 1503; skipping update. +2025-10-31 16:21:08,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:08,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:08,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:08,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:08,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.91, mean=-0.1049, std=2.806, absmax=11.91 +2025-10-31 16:21:08,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.286, mean=-0.08941, std=2.474, absmax=10.88 +2025-10-31 16:21:09,432 ERROR: Encountered non-finite generator loss at iter 1504; skipping update. +2025-10-31 16:21:09,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:09,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:09,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=16.7, mean=0.1443, std=3.431, absmax=16.7 +2025-10-31 16:21:09,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=13.11, mean=0.1069, std=2.842, absmax=13.11 +2025-10-31 16:21:09,932 ERROR: Encountered non-finite generator loss at iter 1505; skipping update. +2025-10-31 16:21:09,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:09,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:09,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:09,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:09,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.13, mean=-0.2524, std=3.237, absmax=13.27 +2025-10-31 16:21:09,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.36, mean=-0.2004, std=2.652, absmax=11.63 +2025-10-31 16:21:10,433 ERROR: Encountered non-finite generator loss at iter 1506; skipping update. +2025-10-31 16:21:10,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:10,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:10,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.65, mean=-0.1532, std=2.823, absmax=12.65 +2025-10-31 16:21:10,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.062, max=7.532, mean=-0.1831, std=2.156, absmax=9.062 +2025-10-31 16:21:10,934 ERROR: Encountered non-finite generator loss at iter 1507; skipping update. +2025-10-31 16:21:10,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:10,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:10,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:10,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:10,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.94, mean=-0.1137, std=2.787, absmax=11.94 +2025-10-31 16:21:10,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.786, max=8.543, mean=-0.1015, std=2.223, absmax=9.786 +2025-10-31 16:21:11,435 ERROR: Encountered non-finite generator loss at iter 1508; skipping update. +2025-10-31 16:21:11,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,439 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:11,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:11,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.58, mean=-0.1134, std=2.844, absmax=12.87 +2025-10-31 16:21:11,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.293, mean=-0.1141, std=2.314, absmax=10.78 +2025-10-31 16:21:11,936 ERROR: Encountered non-finite generator loss at iter 1509; skipping update. +2025-10-31 16:21:11,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:11,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:11,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:11,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:11,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.95, mean=-0.3871, std=2.822, absmax=11.99 +2025-10-31 16:21:11,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=8.158, mean=-0.3876, std=2.519, absmax=11.13 +2025-10-31 16:21:12,437 ERROR: Encountered non-finite generator loss at iter 1510; skipping update. +2025-10-31 16:21:12,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:12,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:12,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.13, mean=-0.2354, std=3.075, absmax=13.13 +2025-10-31 16:21:12,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=9.143, mean=-0.2502, std=2.613, absmax=11.5 +2025-10-31 16:21:12,938 ERROR: Encountered non-finite generator loss at iter 1511; skipping update. +2025-10-31 16:21:12,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:12,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:12,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:12,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:12,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.23, mean=-0.1517, std=2.476, absmax=12.58 +2025-10-31 16:21:12,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.75, max=7.949, mean=-0.1594, std=2.008, absmax=9.75 +2025-10-31 16:21:13,440 ERROR: Encountered non-finite generator loss at iter 1512; skipping update. +2025-10-31 16:21:13,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,443 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,444 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,445 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,446 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:13,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:13,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.82, mean=-0.146, std=3.38, absmax=13.67 +2025-10-31 16:21:13,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.506, mean=-0.1395, std=2.627, absmax=10.96 +2025-10-31 16:21:13,944 ERROR: Encountered non-finite generator loss at iter 1513; skipping update. +2025-10-31 16:21:13,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,947 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:13,948 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:13,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:13,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:13,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=15.63, mean=-0.06851, std=3.026, absmax=15.63 +2025-10-31 16:21:13,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.532, max=11.61, mean=-0.04117, std=2.56, absmax=11.61 +2025-10-31 16:21:14,447 ERROR: Encountered non-finite generator loss at iter 1514; skipping update. +2025-10-31 16:21:14,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:14,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:14,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.73, mean=-0.1245, std=3.302, absmax=13.58 +2025-10-31 16:21:14,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=9.678, mean=-0.1458, std=2.77, absmax=12.28 +2025-10-31 16:21:14,951 ERROR: Encountered non-finite generator loss at iter 1515; skipping update. +2025-10-31 16:21:14,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:14,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:14,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:14,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:14,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.54, mean=-0.229, std=2.822, absmax=13.54 +2025-10-31 16:21:14,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.645, max=9, mean=-0.2028, std=2.122, absmax=9.645 +2025-10-31 16:21:15,455 ERROR: Encountered non-finite generator loss at iter 1516; skipping update. +2025-10-31 16:21:15,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:15,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:15,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.53, mean=-0.1358, std=3.162, absmax=14.53 +2025-10-31 16:21:15,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.498, mean=-0.2108, std=2.634, absmax=10.41 +2025-10-31 16:21:15,958 ERROR: Encountered non-finite generator loss at iter 1517; skipping update. +2025-10-31 16:21:15,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:15,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:15,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:15,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:15,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.93, mean=-0.2739, std=3.302, absmax=13.79 +2025-10-31 16:21:15,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=10.31, mean=-0.2662, std=2.816, absmax=13.19 +2025-10-31 16:21:16,460 ERROR: Encountered non-finite generator loss at iter 1518; skipping update. +2025-10-31 16:21:16,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:16,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:16,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.67, mean=-0.1619, std=3.116, absmax=12.99 +2025-10-31 16:21:16,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.13, mean=-0.1791, std=2.606, absmax=10.4 +2025-10-31 16:21:16,963 ERROR: Encountered non-finite generator loss at iter 1519; skipping update. +2025-10-31 16:21:16,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:16,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:16,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:16,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:16,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=10.17, mean=-0.1578, std=2.568, absmax=11.03 +2025-10-31 16:21:16,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.411, max=8.021, mean=-0.1471, std=2.275, absmax=8.411 +2025-10-31 16:21:17,468 ERROR: Encountered non-finite generator loss at iter 1520; skipping update. +2025-10-31 16:21:17,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:17,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:17,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.69, mean=-0.1716, std=2.659, absmax=12.69 +2025-10-31 16:21:17,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.16, mean=-0.2308, std=2.18, absmax=11.19 +2025-10-31 16:21:17,971 ERROR: Encountered non-finite generator loss at iter 1521; skipping update. +2025-10-31 16:21:17,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:17,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:17,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:17,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:17,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=10.87, mean=-0.1791, std=2.576, absmax=13.6 +2025-10-31 16:21:17,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.691, max=10.36, mean=-0.1746, std=2.256, absmax=10.36 +2025-10-31 16:21:18,472 ERROR: Encountered non-finite generator loss at iter 1522; skipping update. +2025-10-31 16:21:18,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:18,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:18,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=10.28, mean=-0.3059, std=2.592, absmax=11.86 +2025-10-31 16:21:18,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.771, max=7.739, mean=-0.2756, std=2.337, absmax=9.771 +2025-10-31 16:21:18,976 ERROR: Encountered non-finite generator loss at iter 1523; skipping update. +2025-10-31 16:21:18,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:18,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:18,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:18,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:18,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=15.18, mean=0.08391, std=3.65, absmax=15.18 +2025-10-31 16:21:18,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=14.81, mean=0.119, std=3.257, absmax=14.81 +2025-10-31 16:21:19,479 ERROR: Encountered non-finite generator loss at iter 1524; skipping update. +2025-10-31 16:21:19,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:19,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:19,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.49, mean=-0.1665, std=2.558, absmax=12.49 +2025-10-31 16:21:19,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.428, mean=-0.1494, std=2.266, absmax=10.73 +2025-10-31 16:21:19,983 ERROR: Encountered non-finite generator loss at iter 1525; skipping update. +2025-10-31 16:21:19,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:19,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:19,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:19,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:19,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.81, mean=-0.01189, std=2.768, absmax=13.98 +2025-10-31 16:21:19,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.09, mean=-0.04637, std=2.314, absmax=10.38 +2025-10-31 16:21:20,488 ERROR: Encountered non-finite generator loss at iter 1526; skipping update. +2025-10-31 16:21:20,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:20,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:20,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.88, mean=0.009009, std=3.163, absmax=13.88 +2025-10-31 16:21:20,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.95, mean=0.006784, std=2.648, absmax=11.12 +2025-10-31 16:21:20,992 ERROR: Encountered non-finite generator loss at iter 1527; skipping update. +2025-10-31 16:21:20,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:20,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:20,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:21,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:21,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=14.37, mean=-0.09473, std=3.513, absmax=15.28 +2025-10-31 16:21:21,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=11.15, mean=-0.06311, std=2.91, absmax=11.15 +2025-10-31 16:21:21,498 ERROR: Encountered non-finite generator loss at iter 1528; skipping update. +2025-10-31 16:21:21,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:21,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:21,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:21,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:21,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:21,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:21,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:21,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:21,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.3, mean=-0.4108, std=3.551, absmax=13.96 +2025-10-31 16:21:21,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.11, mean=-0.3834, std=2.954, absmax=11.53 +2025-10-31 16:21:22,001 ERROR: Encountered non-finite generator loss at iter 1529; skipping update. +2025-10-31 16:21:22,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:22,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:22,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.71, mean=-0.1881, std=3.356, absmax=14.15 +2025-10-31 16:21:22,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=9.612, mean=-0.1993, std=2.798, absmax=12.06 +2025-10-31 16:21:22,504 ERROR: Encountered non-finite generator loss at iter 1530; skipping update. +2025-10-31 16:21:22,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:22,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:22,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:22,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:22,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=15.67, mean=0.1349, std=3.578, absmax=15.67 +2025-10-31 16:21:22,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=11.78, mean=0.1133, std=2.97, absmax=11.78 +2025-10-31 16:21:23,009 ERROR: Encountered non-finite generator loss at iter 1531; skipping update. +2025-10-31 16:21:23,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,012 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:23,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:23,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.47, mean=-0.3195, std=2.414, absmax=13.47 +2025-10-31 16:21:23,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.804, max=7.428, mean=-0.2731, std=2.112, absmax=9.804 +2025-10-31 16:21:23,514 ERROR: Encountered non-finite generator loss at iter 1532; skipping update. +2025-10-31 16:21:23,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:23,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:23,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:23,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:23,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.22, mean=-0.1982, std=3.299, absmax=14.24 +2025-10-31 16:21:23,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.98, mean=-0.1774, std=2.905, absmax=11.6 +2025-10-31 16:21:24,017 ERROR: Encountered non-finite generator loss at iter 1533; skipping update. +2025-10-31 16:21:24,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:24,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:24,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.08, mean=-0.192, std=3.043, absmax=15.08 +2025-10-31 16:21:24,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.698, max=9.429, mean=-0.1748, std=2.445, absmax=9.698 +2025-10-31 16:21:24,519 ERROR: Encountered non-finite generator loss at iter 1534; skipping update. +2025-10-31 16:21:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:24,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:24,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:24,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:24,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.98, mean=-0.2639, std=3.357, absmax=13.81 +2025-10-31 16:21:24,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=8.329, mean=-0.2862, std=2.737, absmax=12.07 +2025-10-31 16:21:25,022 ERROR: Encountered non-finite generator loss at iter 1535; skipping update. +2025-10-31 16:21:25,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,025 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:25,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:25,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=17.24, mean=-0.1433, std=3.292, absmax=17.24 +2025-10-31 16:21:25,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=11.82, mean=-0.1605, std=2.542, absmax=11.82 +2025-10-31 16:21:25,526 ERROR: Encountered non-finite generator loss at iter 1536; skipping update. +2025-10-31 16:21:25,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:25,532 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:25,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:25,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:25,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.59, mean=-0.2526, std=3.239, absmax=12.79 +2025-10-31 16:21:25,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.57, mean=-0.292, std=2.813, absmax=10.87 +2025-10-31 16:21:26,029 ERROR: Encountered non-finite generator loss at iter 1537; skipping update. +2025-10-31 16:21:26,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:26,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:26,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.34, mean=-0.1193, std=2.598, absmax=12.34 +2025-10-31 16:21:26,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.844, max=10.18, mean=-0.06885, std=2.255, absmax=10.18 +2025-10-31 16:21:26,533 ERROR: Encountered non-finite generator loss at iter 1538; skipping update. +2025-10-31 16:21:26,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:26,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:26,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:26,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:26,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=10.72, mean=-0.1759, std=2.659, absmax=11.71 +2025-10-31 16:21:26,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.461, mean=-0.178, std=2.408, absmax=10.72 +2025-10-31 16:21:27,037 ERROR: Encountered non-finite generator loss at iter 1539; skipping update. +2025-10-31 16:21:27,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:27,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:27,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.15, mean=0.04695, std=2.833, absmax=13.15 +2025-10-31 16:21:27,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.874, max=9.969, mean=0.009696, std=2.41, absmax=9.969 +2025-10-31 16:21:27,541 ERROR: Encountered non-finite generator loss at iter 1540; skipping update. +2025-10-31 16:21:27,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:27,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:27,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:27,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:27,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=12.76, mean=-0.1174, std=3.507, absmax=14.92 +2025-10-31 16:21:27,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=10.28, mean=-0.1193, std=2.928, absmax=11.28 +2025-10-31 16:21:28,050 ERROR: Encountered non-finite generator loss at iter 1541; skipping update. +2025-10-31 16:21:28,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:28,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:28,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=14.37, mean=-0.1994, std=2.819, absmax=14.37 +2025-10-31 16:21:28,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=9.808, mean=-0.2112, std=2.364, absmax=9.808 +2025-10-31 16:21:28,559 ERROR: Encountered non-finite generator loss at iter 1542; skipping update. +2025-10-31 16:21:28,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:28,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:28,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:28,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:28,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.55, mean=-0.0885, std=3.083, absmax=15.55 +2025-10-31 16:21:28,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.841, max=12.19, mean=-0.0748, std=2.602, absmax=12.19 +2025-10-31 16:21:29,060 ERROR: Encountered non-finite generator loss at iter 1543; skipping update. +2025-10-31 16:21:29,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:29,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:29,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.44, max=12.27, mean=-0.3018, std=3.272, absmax=16.44 +2025-10-31 16:21:29,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.31, max=9.378, mean=-0.2929, std=2.773, absmax=13.31 +2025-10-31 16:21:29,569 ERROR: Encountered non-finite generator loss at iter 1544; skipping update. +2025-10-31 16:21:29,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:29,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:29,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:29,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:29,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.56, mean=-0.3995, std=3.136, absmax=13.56 +2025-10-31 16:21:29,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.631, mean=-0.3935, std=2.67, absmax=11.36 +2025-10-31 16:21:30,071 ERROR: Encountered non-finite generator loss at iter 1545; skipping update. +2025-10-31 16:21:30,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:30,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:30,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.88, mean=-0.3089, std=2.553, absmax=12.88 +2025-10-31 16:21:30,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.696, max=7.695, mean=-0.2701, std=2.141, absmax=8.696 +2025-10-31 16:21:30,577 ERROR: Encountered non-finite generator loss at iter 1546; skipping update. +2025-10-31 16:21:30,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:30,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:30,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:30,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:30,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.33, mean=-0.2293, std=2.998, absmax=14.33 +2025-10-31 16:21:30,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.47, mean=-0.1956, std=2.606, absmax=11.53 +2025-10-31 16:21:31,079 ERROR: Encountered non-finite generator loss at iter 1547; skipping update. +2025-10-31 16:21:31,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:31,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:31,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=18.69, mean=-0.1264, std=3.478, absmax=18.69 +2025-10-31 16:21:31,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=12.23, mean=-0.1268, std=2.849, absmax=12.23 +2025-10-31 16:21:31,583 ERROR: Encountered non-finite generator loss at iter 1548; skipping update. +2025-10-31 16:21:31,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:31,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:31,589 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:31,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:31,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.35, mean=-0.2593, std=3.367, absmax=13.41 +2025-10-31 16:21:31,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=10.98, mean=-0.2381, std=2.915, absmax=11.49 +2025-10-31 16:21:32,084 ERROR: Encountered non-finite generator loss at iter 1549; skipping update. +2025-10-31 16:21:32,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:32,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:32,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.5, mean=0.09024, std=3.316, absmax=13.76 +2025-10-31 16:21:32,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=10.2, mean=0.08578, std=2.708, absmax=10.89 +2025-10-31 16:21:32,587 ERROR: Encountered non-finite generator loss at iter 1550; skipping update. +2025-10-31 16:21:32,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:32,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:32,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:32,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:32,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=15.91, mean=-0.2446, std=2.775, absmax=15.91 +2025-10-31 16:21:32,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.94, max=8.009, mean=-0.2229, std=2.183, absmax=8.94 +2025-10-31 16:21:33,090 ERROR: Encountered non-finite generator loss at iter 1551; skipping update. +2025-10-31 16:21:33,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:33,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:33,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.41, mean=-0.1824, std=3.472, absmax=12.88 +2025-10-31 16:21:33,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.73, max=11.17, mean=-0.1889, std=3.092, absmax=13.73 +2025-10-31 16:21:33,592 ERROR: Encountered non-finite generator loss at iter 1552; skipping update. +2025-10-31 16:21:33,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:33,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:33,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:33,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:33,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.41, mean=-0.2688, std=3.29, absmax=15.41 +2025-10-31 16:21:33,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=11.57, mean=-0.2523, std=2.81, absmax=11.7 +2025-10-31 16:21:34,096 ERROR: Encountered non-finite generator loss at iter 1553; skipping update. +2025-10-31 16:21:34,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:34,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:34,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.91, mean=-0.1158, std=3.063, absmax=13.91 +2025-10-31 16:21:34,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.386, max=10.4, mean=-0.1305, std=2.538, absmax=10.4 +2025-10-31 16:21:34,599 ERROR: Encountered non-finite generator loss at iter 1554; skipping update. +2025-10-31 16:21:34,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:34,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:34,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:34,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:34,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=19.46, mean=-0.3411, std=2.715, absmax=19.46 +2025-10-31 16:21:34,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=15.63, mean=-0.3646, std=2.265, absmax=15.63 +2025-10-31 16:21:35,100 ERROR: Encountered non-finite generator loss at iter 1555; skipping update. +2025-10-31 16:21:35,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:35,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:35,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.93, mean=-0.04624, std=2.985, absmax=12.15 +2025-10-31 16:21:35,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.507, max=9.431, mean=-0.08876, std=2.66, absmax=9.507 +2025-10-31 16:21:35,602 ERROR: Encountered non-finite generator loss at iter 1556; skipping update. +2025-10-31 16:21:35,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:35,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:35,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:35,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:35,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.24, mean=-0.06807, std=3.293, absmax=13.92 +2025-10-31 16:21:35,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.2, mean=-0.09106, std=2.871, absmax=11.36 +2025-10-31 16:21:36,100 ERROR: Encountered non-finite generator loss at iter 1557; skipping update. +2025-10-31 16:21:36,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:36,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:36,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.75, mean=-0.1788, std=3.135, absmax=13.06 +2025-10-31 16:21:36,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=10.35, mean=-0.185, std=2.772, absmax=11.06 +2025-10-31 16:21:36,600 ERROR: Encountered non-finite generator loss at iter 1558; skipping update. +2025-10-31 16:21:36,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:36,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:36,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:36,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:36,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=16.99, mean=-0.1661, std=2.832, absmax=16.99 +2025-10-31 16:21:36,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.628, max=11.09, mean=-0.168, std=2.282, absmax=11.09 +2025-10-31 16:21:37,102 ERROR: Encountered non-finite generator loss at iter 1559; skipping update. +2025-10-31 16:21:37,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:37,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:37,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=17.54, mean=-0.215, std=3.239, absmax=17.54 +2025-10-31 16:21:37,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=12.02, mean=-0.2136, std=2.837, absmax=12.02 +2025-10-31 16:21:37,603 ERROR: Encountered non-finite generator loss at iter 1560; skipping update. +2025-10-31 16:21:37,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:37,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:37,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:37,611 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:37,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=9.994, mean=-0.2127, std=2.805, absmax=13.45 +2025-10-31 16:21:37,613 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.658, mean=-0.211, std=2.45, absmax=10.62 +2025-10-31 16:21:38,104 ERROR: Encountered non-finite generator loss at iter 1561; skipping update. +2025-10-31 16:21:38,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:38,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:38,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.34, mean=-0.2409, std=2.89, absmax=13.42 +2025-10-31 16:21:38,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=8.587, mean=-0.251, std=2.349, absmax=10.58 +2025-10-31 16:21:38,605 ERROR: Encountered non-finite generator loss at iter 1562; skipping update. +2025-10-31 16:21:38,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,608 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:38,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:38,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:38,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:38,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.66, mean=0.01049, std=2.905, absmax=13.66 +2025-10-31 16:21:38,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.47, mean=0.02223, std=2.467, absmax=10.47 +2025-10-31 16:21:39,107 ERROR: Encountered non-finite generator loss at iter 1563; skipping update. +2025-10-31 16:21:39,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:39,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:39,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.17, mean=-0.06165, std=3.391, absmax=14.34 +2025-10-31 16:21:39,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.782, mean=-0.08152, std=2.803, absmax=10.62 +2025-10-31 16:21:39,607 ERROR: Encountered non-finite generator loss at iter 1564; skipping update. +2025-10-31 16:21:39,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:39,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:39,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:39,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:39,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.16, mean=-0.1675, std=2.461, absmax=12.16 +2025-10-31 16:21:39,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.417, max=8.794, mean=-0.1552, std=2.051, absmax=9.417 +2025-10-31 16:21:40,110 ERROR: Encountered non-finite generator loss at iter 1565; skipping update. +2025-10-31 16:21:40,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:40,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:40,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=16.77, mean=-0.09221, std=3.233, absmax=16.77 +2025-10-31 16:21:40,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=13.46, mean=-0.04406, std=2.787, absmax=13.46 +2025-10-31 16:21:40,611 ERROR: Encountered non-finite generator loss at iter 1566; skipping update. +2025-10-31 16:21:40,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:40,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:40,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:40,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:40,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.95, mean=-0.244, std=2.62, absmax=12.95 +2025-10-31 16:21:40,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.38, max=8.722, mean=-0.2305, std=2.153, absmax=9.38 +2025-10-31 16:21:41,112 ERROR: Encountered non-finite generator loss at iter 1567; skipping update. +2025-10-31 16:21:41,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:41,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:41,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.72, mean=-0.315, std=3.319, absmax=11.97 +2025-10-31 16:21:41,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.363, mean=-0.3416, std=2.971, absmax=10.88 +2025-10-31 16:21:41,614 ERROR: Encountered non-finite generator loss at iter 1568; skipping update. +2025-10-31 16:21:41,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:41,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:41,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:41,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:41,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=10.02, mean=-0.3206, std=3.173, absmax=12.52 +2025-10-31 16:21:41,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.923, mean=-0.3078, std=2.708, absmax=10.98 +2025-10-31 16:21:42,115 ERROR: Encountered non-finite generator loss at iter 1569; skipping update. +2025-10-31 16:21:42,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:42,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:42,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.26, mean=-0.1518, std=3.073, absmax=14.26 +2025-10-31 16:21:42,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=10.78, mean=-0.1736, std=2.364, absmax=10.78 +2025-10-31 16:21:42,620 ERROR: Encountered non-finite generator loss at iter 1570; skipping update. +2025-10-31 16:21:42,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:42,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:42,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:42,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:42,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.8, mean=-0.2939, std=3.202, absmax=13.72 +2025-10-31 16:21:42,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=9.881, mean=-0.2621, std=2.616, absmax=12.38 +2025-10-31 16:21:43,122 ERROR: Encountered non-finite generator loss at iter 1571; skipping update. +2025-10-31 16:21:43,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:43,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:43,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.67, mean=-0.1981, std=3.338, absmax=13.74 +2025-10-31 16:21:43,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.01, mean=-0.258, std=2.812, absmax=11.51 +2025-10-31 16:21:43,624 ERROR: Encountered non-finite generator loss at iter 1572; skipping update. +2025-10-31 16:21:43,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:43,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:43,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:43,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:43,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.25, mean=-0.2887, std=2.823, absmax=13.76 +2025-10-31 16:21:43,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=7.788, mean=-0.2649, std=2.317, absmax=11.47 +2025-10-31 16:21:44,126 ERROR: Encountered non-finite generator loss at iter 1573; skipping update. +2025-10-31 16:21:44,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:44,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:44,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.7, mean=-0.1558, std=3.403, absmax=13.7 +2025-10-31 16:21:44,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.31, mean=-0.1479, std=2.78, absmax=11.18 +2025-10-31 16:21:44,628 ERROR: Encountered non-finite generator loss at iter 1574; skipping update. +2025-10-31 16:21:44,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:44,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:44,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:44,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:44,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.23, mean=-0.06948, std=3.27, absmax=13.23 +2025-10-31 16:21:44,637 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.18, mean=-0.09263, std=2.851, absmax=11.18 +2025-10-31 16:21:45,129 ERROR: Encountered non-finite generator loss at iter 1575; skipping update. +2025-10-31 16:21:45,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:45,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:45,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=15.6, mean=0.03928, std=3.217, absmax=15.6 +2025-10-31 16:21:45,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=13.18, mean=0.02982, std=2.808, absmax=13.18 +2025-10-31 16:21:45,630 ERROR: Encountered non-finite generator loss at iter 1576; skipping update. +2025-10-31 16:21:45,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:45,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:45,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:45,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:45,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=12.4, mean=0.02487, std=2.895, absmax=12.4 +2025-10-31 16:21:45,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=9.942, mean=-0.0246, std=2.351, absmax=9.942 +2025-10-31 16:21:46,133 ERROR: Encountered non-finite generator loss at iter 1577; skipping update. +2025-10-31 16:21:46,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:46,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:46,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.25, mean=-0.3409, std=2.946, absmax=12.02 +2025-10-31 16:21:46,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.239, max=9.438, mean=-0.2961, std=2.528, absmax=9.438 +2025-10-31 16:21:46,637 ERROR: Encountered non-finite generator loss at iter 1578; skipping update. +2025-10-31 16:21:46,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:46,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:46,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:46,646 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:46,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=17.22, mean=-0.4669, std=3.736, absmax=17.22 +2025-10-31 16:21:46,648 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.946, mean=-0.4001, std=3.28, absmax=12.81 +2025-10-31 16:21:47,140 ERROR: Encountered non-finite generator loss at iter 1579; skipping update. +2025-10-31 16:21:47,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:47,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:47,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.75, mean=-0.1861, std=2.64, absmax=14.75 +2025-10-31 16:21:47,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.275, max=11.87, mean=-0.1996, std=2.24, absmax=11.87 +2025-10-31 16:21:47,643 ERROR: Encountered non-finite generator loss at iter 1580; skipping update. +2025-10-31 16:21:47,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:47,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:47,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:47,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:47,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=9.996, mean=-0.2378, std=2.815, absmax=12.97 +2025-10-31 16:21:47,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=7.77, mean=-0.2706, std=2.248, absmax=10.21 +2025-10-31 16:21:48,144 ERROR: Encountered non-finite generator loss at iter 1581; skipping update. +2025-10-31 16:21:48,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:48,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:48,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.92, mean=-0.107, std=2.739, absmax=13.04 +2025-10-31 16:21:48,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.829, max=9.831, mean=-0.1195, std=2.365, absmax=9.831 +2025-10-31 16:21:48,647 ERROR: Encountered non-finite generator loss at iter 1582; skipping update. +2025-10-31 16:21:48,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:48,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:48,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:48,655 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:48,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=16.12, mean=-0.1053, std=3.052, absmax=16.12 +2025-10-31 16:21:48,657 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=11.34, mean=-0.05982, std=2.579, absmax=11.34 +2025-10-31 16:21:49,148 ERROR: Encountered non-finite generator loss at iter 1583; skipping update. +2025-10-31 16:21:49,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:49,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:49,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.46, mean=-0.06366, std=3.462, absmax=14.46 +2025-10-31 16:21:49,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=11.12, mean=-0.03338, std=2.921, absmax=11.56 +2025-10-31 16:21:49,649 ERROR: Encountered non-finite generator loss at iter 1584; skipping update. +2025-10-31 16:21:49,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:49,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:49,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:49,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:49,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.52, mean=-0.000242, std=3.003, absmax=14.52 +2025-10-31 16:21:49,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.83, max=11.83, mean=-0.05857, std=2.619, absmax=11.83 +2025-10-31 16:21:50,151 ERROR: Encountered non-finite generator loss at iter 1585; skipping update. +2025-10-31 16:21:50,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,155 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,156 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,158 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:50,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:50,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.91, mean=-0.167, std=3.841, absmax=14.24 +2025-10-31 16:21:50,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=11.6, mean=-0.1457, std=3.261, absmax=11.91 +2025-10-31 16:21:50,653 ERROR: Encountered non-finite generator loss at iter 1586; skipping update. +2025-10-31 16:21:50,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:50,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:50,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:50,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:50,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.91, mean=-0.1023, std=2.462, absmax=12.69 +2025-10-31 16:21:50,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.764, max=9.903, mean=-0.08469, std=2.108, absmax=9.903 +2025-10-31 16:21:51,153 ERROR: Encountered non-finite generator loss at iter 1587; skipping update. +2025-10-31 16:21:51,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:51,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:51,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.91, mean=-0.3236, std=3.343, absmax=12.8 +2025-10-31 16:21:51,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=8.04, mean=-0.2873, std=2.532, absmax=10.76 +2025-10-31 16:21:51,654 ERROR: Encountered non-finite generator loss at iter 1588; skipping update. +2025-10-31 16:21:51,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:51,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:51,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:51,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:51,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.37, mean=-0.2266, std=2.489, absmax=14.37 +2025-10-31 16:21:51,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.652, max=10.98, mean=-0.2787, std=2.173, absmax=10.98 +2025-10-31 16:21:52,156 ERROR: Encountered non-finite generator loss at iter 1589; skipping update. +2025-10-31 16:21:52,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,160 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,163 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:52,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:52,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=13.99, mean=0.01068, std=3.678, absmax=15.27 +2025-10-31 16:21:52,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=11.51, mean=-0.008229, std=3.054, absmax=11.51 +2025-10-31 16:21:52,657 ERROR: Encountered non-finite generator loss at iter 1590; skipping update. +2025-10-31 16:21:52,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:52,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:52,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:52,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:52,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.21, mean=-0.111, std=3.213, absmax=13.21 +2025-10-31 16:21:52,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.192, max=12.73, mean=-0.07101, std=2.748, absmax=12.73 +2025-10-31 16:21:53,158 ERROR: Encountered non-finite generator loss at iter 1591; skipping update. +2025-10-31 16:21:53,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:53,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:53,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.8, mean=-0.1544, std=2.749, absmax=13.16 +2025-10-31 16:21:53,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.821, max=8.189, mean=-0.1536, std=2.128, absmax=8.821 +2025-10-31 16:21:53,659 ERROR: Encountered non-finite generator loss at iter 1592; skipping update. +2025-10-31 16:21:53,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:53,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:53,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:53,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:53,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12, mean=-0.2289, std=2.452, absmax=12 +2025-10-31 16:21:53,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.45, max=8.711, mean=-0.2161, std=2.071, absmax=9.45 +2025-10-31 16:21:54,158 ERROR: Encountered non-finite generator loss at iter 1593; skipping update. +2025-10-31 16:21:54,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:54,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:54,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.08, mean=-0.08393, std=3.014, absmax=12.94 +2025-10-31 16:21:54,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.56, mean=-0.08356, std=2.585, absmax=10.63 +2025-10-31 16:21:54,658 ERROR: Encountered non-finite generator loss at iter 1594; skipping update. +2025-10-31 16:21:54,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:54,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:54,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:54,666 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:54,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.06, mean=-0.1188, std=3.03, absmax=12.64 +2025-10-31 16:21:54,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.48, mean=-0.11, std=2.495, absmax=11.48 +2025-10-31 16:21:55,158 ERROR: Encountered non-finite generator loss at iter 1595; skipping update. +2025-10-31 16:21:55,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:55,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:55,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.62, mean=0.1164, std=3.218, absmax=13.62 +2025-10-31 16:21:55,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.19, mean=0.1118, std=2.689, absmax=11.19 +2025-10-31 16:21:55,659 ERROR: Encountered non-finite generator loss at iter 1596; skipping update. +2025-10-31 16:21:55,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:55,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:55,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:55,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:55,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.28, mean=-0.1726, std=2.725, absmax=11.51 +2025-10-31 16:21:55,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.655, mean=-0.1631, std=2.473, absmax=10.34 +2025-10-31 16:21:56,161 ERROR: Encountered non-finite generator loss at iter 1597; skipping update. +2025-10-31 16:21:56,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:56,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:56,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.65, mean=-0.1028, std=3.047, absmax=12.18 +2025-10-31 16:21:56,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.464, max=9.216, mean=-0.1077, std=2.531, absmax=9.464 +2025-10-31 16:21:56,661 ERROR: Encountered non-finite generator loss at iter 1598; skipping update. +2025-10-31 16:21:56,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:56,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:56,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:56,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:56,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.31, mean=-0.1391, std=2.805, absmax=14.31 +2025-10-31 16:21:56,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.861, max=10.48, mean=-0.1362, std=2.408, absmax=10.48 +2025-10-31 16:21:57,162 ERROR: Encountered non-finite generator loss at iter 1599; skipping update. +2025-10-31 16:21:57,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:57,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:57,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=16.49, mean=-0.1748, std=3.01, absmax=16.49 +2025-10-31 16:21:57,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.095, max=11.63, mean=-0.1843, std=2.574, absmax=11.63 +2025-10-31 16:21:57,665 ERROR: Encountered non-finite generator loss at iter 1600; skipping update. +2025-10-31 16:21:57,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:57,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:57,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:57,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:57,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.68, mean=-0.2549, std=2.926, absmax=13.68 +2025-10-31 16:21:57,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.878, mean=-0.2397, std=2.499, absmax=10.49 +2025-10-31 16:21:57,678 INFO: [29..][epoch: 0, step: 1,600, lr:(1.500e-04,)] [eta: 1 day, 22:24:45, time (data): 0.502 (0.000)] +2025-10-31 16:21:58,169 ERROR: Encountered non-finite generator loss at iter 1601; skipping update. +2025-10-31 16:21:58,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:58,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:58,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.36, mean=-0.2729, std=3.185, absmax=15.36 +2025-10-31 16:21:58,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=9.074, mean=-0.2797, std=2.645, absmax=10.19 +2025-10-31 16:21:58,672 ERROR: Encountered non-finite generator loss at iter 1602; skipping update. +2025-10-31 16:21:58,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:58,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:58,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:58,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:58,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.1, mean=-0.2755, std=3.288, absmax=13.1 +2025-10-31 16:21:58,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=11.43, mean=-0.2464, std=2.754, absmax=11.43 +2025-10-31 16:21:59,172 ERROR: Encountered non-finite generator loss at iter 1603; skipping update. +2025-10-31 16:21:59,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:59,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:59,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=13.39, mean=-0.09632, std=2.733, absmax=13.39 +2025-10-31 16:21:59,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.09, mean=-0.1407, std=2.238, absmax=10.36 +2025-10-31 16:21:59,674 ERROR: Encountered non-finite generator loss at iter 1604; skipping update. +2025-10-31 16:21:59,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:21:59,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:21:59,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:21:59,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:21:59,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.35, mean=-0.06203, std=2.847, absmax=12.71 +2025-10-31 16:21:59,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=7.667, mean=-0.1134, std=2.373, absmax=9.325 +2025-10-31 16:22:00,174 ERROR: Encountered non-finite generator loss at iter 1605; skipping update. +2025-10-31 16:22:00,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:00,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:00,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.47, mean=-0.04679, std=2.748, absmax=13.47 +2025-10-31 16:22:00,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.066, max=10.91, mean=-0.0625, std=2.393, absmax=10.91 +2025-10-31 16:22:00,675 ERROR: Encountered non-finite generator loss at iter 1606; skipping update. +2025-10-31 16:22:00,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:00,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:00,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:00,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:00,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.96, mean=-0.2784, std=3.061, absmax=13.96 +2025-10-31 16:22:00,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.31, mean=-0.2732, std=2.541, absmax=11.16 +2025-10-31 16:22:01,176 ERROR: Encountered non-finite generator loss at iter 1607; skipping update. +2025-10-31 16:22:01,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:01,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:01,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.66, mean=-0.06864, std=2.776, absmax=13.66 +2025-10-31 16:22:01,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.637, max=11.56, mean=-0.1236, std=2.431, absmax=11.56 +2025-10-31 16:22:01,678 ERROR: Encountered non-finite generator loss at iter 1608; skipping update. +2025-10-31 16:22:01,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:01,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:01,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:01,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:01,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.57, mean=-0.01433, std=3.702, absmax=13.6 +2025-10-31 16:22:01,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.755, max=10.35, mean=-0.02731, std=2.971, absmax=10.35 +2025-10-31 16:22:02,179 ERROR: Encountered non-finite generator loss at iter 1609; skipping update. +2025-10-31 16:22:02,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:02,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:02,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=10.93, mean=-0.3525, std=2.978, absmax=13.17 +2025-10-31 16:22:02,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.279, mean=-0.3153, std=2.464, absmax=10.34 +2025-10-31 16:22:02,679 ERROR: Encountered non-finite generator loss at iter 1610; skipping update. +2025-10-31 16:22:02,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:02,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:02,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:02,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:02,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.1, mean=-0.2754, std=3.094, absmax=13.99 +2025-10-31 16:22:02,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=9.736, mean=-0.2826, std=2.753, absmax=12.13 +2025-10-31 16:22:03,181 ERROR: Encountered non-finite generator loss at iter 1611; skipping update. +2025-10-31 16:22:03,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:03,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:03,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=9.751, mean=-0.3023, std=2.636, absmax=12.84 +2025-10-31 16:22:03,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=9.386, mean=-0.2842, std=2.381, absmax=11.22 +2025-10-31 16:22:03,682 ERROR: Encountered non-finite generator loss at iter 1612; skipping update. +2025-10-31 16:22:03,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:03,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:03,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:03,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:03,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.15, mean=0.04409, std=3.494, absmax=13.15 +2025-10-31 16:22:03,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.36, mean=-0.005796, std=2.906, absmax=11.36 +2025-10-31 16:22:04,182 ERROR: Encountered non-finite generator loss at iter 1613; skipping update. +2025-10-31 16:22:04,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:04,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:04,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.01, mean=-0.1996, std=2.839, absmax=12.68 +2025-10-31 16:22:04,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.384, max=8.697, mean=-0.2144, std=2.334, absmax=9.384 +2025-10-31 16:22:04,682 ERROR: Encountered non-finite generator loss at iter 1614; skipping update. +2025-10-31 16:22:04,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:04,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:04,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:04,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:04,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.16, mean=-0.2369, std=3.097, absmax=12.16 +2025-10-31 16:22:04,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.4, mean=-0.2121, std=2.658, absmax=10.4 +2025-10-31 16:22:05,183 ERROR: Encountered non-finite generator loss at iter 1615; skipping update. +2025-10-31 16:22:05,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:05,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:05,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.06, mean=-0.238, std=2.585, absmax=12.89 +2025-10-31 16:22:05,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.389, mean=-0.2666, std=2.178, absmax=10.17 +2025-10-31 16:22:05,685 ERROR: Encountered non-finite generator loss at iter 1616; skipping update. +2025-10-31 16:22:05,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:05,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:05,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:05,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:05,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.6, mean=-0.1927, std=2.9, absmax=13.6 +2025-10-31 16:22:05,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.226, max=10.63, mean=-0.1884, std=2.378, absmax=10.63 +2025-10-31 16:22:06,186 ERROR: Encountered non-finite generator loss at iter 1617; skipping update. +2025-10-31 16:22:06,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:06,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:06,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=15.44, mean=-0.1513, std=2.924, absmax=15.44 +2025-10-31 16:22:06,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=9.078, mean=-0.1472, std=2.345, absmax=9.508 +2025-10-31 16:22:06,688 ERROR: Encountered non-finite generator loss at iter 1618; skipping update. +2025-10-31 16:22:06,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:06,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:06,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:06,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:06,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.51, max=12.87, mean=-0.07051, std=2.736, absmax=12.87 +2025-10-31 16:22:06,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.102, max=9.32, mean=-0.06403, std=2.296, absmax=9.32 +2025-10-31 16:22:07,188 ERROR: Encountered non-finite generator loss at iter 1619; skipping update. +2025-10-31 16:22:07,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:07,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:07,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=11.43, mean=-0.2435, std=3.121, absmax=15.41 +2025-10-31 16:22:07,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=8.542, mean=-0.2277, std=2.63, absmax=11.8 +2025-10-31 16:22:07,692 ERROR: Encountered non-finite generator loss at iter 1620; skipping update. +2025-10-31 16:22:07,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:07,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:07,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:07,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:07,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=19.63, mean=-0.05539, std=3.113, absmax=19.63 +2025-10-31 16:22:07,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=15.55, mean=-0.05439, std=2.769, absmax=15.55 +2025-10-31 16:22:08,192 ERROR: Encountered non-finite generator loss at iter 1621; skipping update. +2025-10-31 16:22:08,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:08,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:08,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.17, mean=-0.3195, std=2.797, absmax=12.25 +2025-10-31 16:22:08,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.01, max=8.387, mean=-0.2911, std=2.246, absmax=9.01 +2025-10-31 16:22:08,694 ERROR: Encountered non-finite generator loss at iter 1622; skipping update. +2025-10-31 16:22:08,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:08,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:08,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:08,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:08,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.38, mean=-0.1466, std=2.728, absmax=13.38 +2025-10-31 16:22:08,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.835, max=8.75, mean=-0.1581, std=2.246, absmax=8.835 +2025-10-31 16:22:09,194 ERROR: Encountered non-finite generator loss at iter 1623; skipping update. +2025-10-31 16:22:09,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,201 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:09,202 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:09,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=10.99, mean=-0.21, std=2.45, absmax=11.02 +2025-10-31 16:22:09,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.909, max=8.049, mean=-0.2191, std=2.081, absmax=8.909 +2025-10-31 16:22:09,698 ERROR: Encountered non-finite generator loss at iter 1624; skipping update. +2025-10-31 16:22:09,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:09,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:09,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:09,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:09,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.05, mean=-0.1676, std=2.869, absmax=12.21 +2025-10-31 16:22:09,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.666, max=10.84, mean=-0.2056, std=2.337, absmax=10.84 +2025-10-31 16:22:10,199 ERROR: Encountered non-finite generator loss at iter 1625; skipping update. +2025-10-31 16:22:10,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:10,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:10,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=14.39, mean=-0.02404, std=3.5, absmax=14.39 +2025-10-31 16:22:10,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=12.79, mean=-0.008399, std=3.075, absmax=12.79 +2025-10-31 16:22:10,700 ERROR: Encountered non-finite generator loss at iter 1626; skipping update. +2025-10-31 16:22:10,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:10,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:10,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:10,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:10,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.57, mean=-0.2643, std=2.85, absmax=12.41 +2025-10-31 16:22:10,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=7.803, mean=-0.3095, std=2.333, absmax=10.06 +2025-10-31 16:22:11,203 ERROR: Encountered non-finite generator loss at iter 1627; skipping update. +2025-10-31 16:22:11,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:11,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:11,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.19, mean=-0.2095, std=2.805, absmax=11.51 +2025-10-31 16:22:11,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=8.848, mean=-0.2104, std=2.438, absmax=9.693 +2025-10-31 16:22:11,709 ERROR: Encountered non-finite generator loss at iter 1628; skipping update. +2025-10-31 16:22:11,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:11,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:11,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:11,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:11,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.44, mean=-0.02122, std=2.951, absmax=12.44 +2025-10-31 16:22:11,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.12, mean=-0.03273, std=2.495, absmax=11 +2025-10-31 16:22:12,212 ERROR: Encountered non-finite generator loss at iter 1629; skipping update. +2025-10-31 16:22:12,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:12,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:12,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.39, mean=-0.2072, std=3.06, absmax=13.39 +2025-10-31 16:22:12,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.44, mean=-0.2375, std=2.634, absmax=10.44 +2025-10-31 16:22:12,715 ERROR: Encountered non-finite generator loss at iter 1630; skipping update. +2025-10-31 16:22:12,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:12,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:12,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:12,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:12,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=15.42, mean=-0.2898, std=3.775, absmax=15.42 +2025-10-31 16:22:12,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.95, max=10.93, mean=-0.2796, std=3.113, absmax=12.95 +2025-10-31 16:22:13,218 ERROR: Encountered non-finite generator loss at iter 1631; skipping update. +2025-10-31 16:22:13,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:13,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:13,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=16.78, mean=-0.08253, std=2.797, absmax=16.78 +2025-10-31 16:22:13,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.95, max=9.711, mean=-0.08854, std=2.313, absmax=9.711 +2025-10-31 16:22:13,721 ERROR: Encountered non-finite generator loss at iter 1632; skipping update. +2025-10-31 16:22:13,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:13,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:13,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:13,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:13,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.08, mean=-0.3488, std=2.889, absmax=14.08 +2025-10-31 16:22:13,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=11.24, mean=-0.3279, std=2.566, absmax=11.24 +2025-10-31 16:22:14,220 ERROR: Encountered non-finite generator loss at iter 1633; skipping update. +2025-10-31 16:22:14,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,223 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,224 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,225 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:14,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:14,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=16.43, mean=-0.1851, std=3.178, absmax=16.43 +2025-10-31 16:22:14,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=12.47, mean=-0.1403, std=2.807, absmax=12.47 +2025-10-31 16:22:14,722 ERROR: Encountered non-finite generator loss at iter 1634; skipping update. +2025-10-31 16:22:14,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:14,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:14,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:14,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:14,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=13.73, mean=-0.1401, std=3.703, absmax=15.07 +2025-10-31 16:22:14,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=12.24, mean=-0.1499, std=3.203, absmax=12.82 +2025-10-31 16:22:15,223 ERROR: Encountered non-finite generator loss at iter 1635; skipping update. +2025-10-31 16:22:15,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:15,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:15,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.84, mean=-0.2877, std=2.893, absmax=12.59 +2025-10-31 16:22:15,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=8.442, mean=-0.299, std=2.431, absmax=10.42 +2025-10-31 16:22:15,726 ERROR: Encountered non-finite generator loss at iter 1636; skipping update. +2025-10-31 16:22:15,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:15,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:15,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:15,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:15,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.15, mean=-0.1538, std=2.696, absmax=12.34 +2025-10-31 16:22:15,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.941, max=10.36, mean=-0.1754, std=2.174, absmax=10.36 +2025-10-31 16:22:16,228 ERROR: Encountered non-finite generator loss at iter 1637; skipping update. +2025-10-31 16:22:16,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:16,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:16,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.18, mean=-0.252, std=3.118, absmax=14.18 +2025-10-31 16:22:16,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.04, mean=-0.2234, std=2.609, absmax=10.22 +2025-10-31 16:22:16,728 ERROR: Encountered non-finite generator loss at iter 1638; skipping update. +2025-10-31 16:22:16,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:16,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:16,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:16,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:16,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.93, mean=-0.2284, std=2.572, absmax=12.17 +2025-10-31 16:22:16,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=9.752, mean=-0.2114, std=2.202, absmax=9.752 +2025-10-31 16:22:17,230 ERROR: Encountered non-finite generator loss at iter 1639; skipping update. +2025-10-31 16:22:17,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:17,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:17,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=15.03, mean=0.00957, std=3.296, absmax=15.03 +2025-10-31 16:22:17,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.06, mean=0.008442, std=2.842, absmax=11.35 +2025-10-31 16:22:17,732 ERROR: Encountered non-finite generator loss at iter 1640; skipping update. +2025-10-31 16:22:17,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:17,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:17,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:17,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:17,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.82, mean=-0.2627, std=2.975, absmax=13.82 +2025-10-31 16:22:17,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.859, mean=-0.2409, std=2.636, absmax=10.25 +2025-10-31 16:22:18,233 ERROR: Encountered non-finite generator loss at iter 1641; skipping update. +2025-10-31 16:22:18,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:18,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:18,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=15.07, mean=-0.08811, std=3.656, absmax=15.07 +2025-10-31 16:22:18,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=12.67, mean=-0.03422, std=3.166, absmax=12.67 +2025-10-31 16:22:18,732 ERROR: Encountered non-finite generator loss at iter 1642; skipping update. +2025-10-31 16:22:18,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:18,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:18,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:18,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:18,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.92, mean=-0.2802, std=3.204, absmax=13.92 +2025-10-31 16:22:18,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.894, mean=-0.2639, std=2.627, absmax=10.93 +2025-10-31 16:22:19,233 ERROR: Encountered non-finite generator loss at iter 1643; skipping update. +2025-10-31 16:22:19,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:19,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:19,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=11.61, mean=-0.273, std=3.306, absmax=14.19 +2025-10-31 16:22:19,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.07, max=8.621, mean=-0.316, std=2.746, absmax=13.07 +2025-10-31 16:22:19,735 ERROR: Encountered non-finite generator loss at iter 1644; skipping update. +2025-10-31 16:22:19,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:19,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:19,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:19,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:19,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.39, mean=0.251, std=3.959, absmax=14.39 +2025-10-31 16:22:19,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=13.25, mean=0.2294, std=3.337, absmax=13.25 +2025-10-31 16:22:20,236 ERROR: Encountered non-finite generator loss at iter 1645; skipping update. +2025-10-31 16:22:20,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:20,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:20,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.36, mean=-0.2385, std=3.197, absmax=13.84 +2025-10-31 16:22:20,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.187, mean=-0.1826, std=2.71, absmax=10.27 +2025-10-31 16:22:20,737 ERROR: Encountered non-finite generator loss at iter 1646; skipping update. +2025-10-31 16:22:20,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:20,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:20,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:20,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:20,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.95, mean=-0.4182, std=3.558, absmax=13.95 +2025-10-31 16:22:20,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.944, mean=-0.4099, std=3.232, absmax=12.81 +2025-10-31 16:22:21,238 ERROR: Encountered non-finite generator loss at iter 1647; skipping update. +2025-10-31 16:22:21,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:21,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:21,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.16, mean=-0.06773, std=3.065, absmax=14.16 +2025-10-31 16:22:21,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.515, max=9.629, mean=-0.09044, std=2.392, absmax=9.629 +2025-10-31 16:22:21,738 ERROR: Encountered non-finite generator loss at iter 1648; skipping update. +2025-10-31 16:22:21,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:21,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:21,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:21,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:21,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.59, mean=-0.1903, std=2.817, absmax=13.59 +2025-10-31 16:22:21,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.919, mean=-0.2475, std=2.313, absmax=10.88 +2025-10-31 16:22:22,239 ERROR: Encountered non-finite generator loss at iter 1649; skipping update. +2025-10-31 16:22:22,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,241 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:22,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:22,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=10.9, mean=-0.2671, std=2.746, absmax=11.88 +2025-10-31 16:22:22,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.844, max=8.01, mean=-0.2513, std=2.239, absmax=9.844 +2025-10-31 16:22:22,740 ERROR: Encountered non-finite generator loss at iter 1650; skipping update. +2025-10-31 16:22:22,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:22,745 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:22,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:22,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:22,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.12, mean=-0.1385, std=2.761, absmax=13.12 +2025-10-31 16:22:22,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=10.42, mean=-0.1452, std=2.204, absmax=10.42 +2025-10-31 16:22:23,240 ERROR: Encountered non-finite generator loss at iter 1651; skipping update. +2025-10-31 16:22:23,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,246 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:23,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:23,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.39, mean=-0.1791, std=2.722, absmax=14.39 +2025-10-31 16:22:23,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=10.7, mean=-0.1678, std=2.285, absmax=10.7 +2025-10-31 16:22:23,741 ERROR: Encountered non-finite generator loss at iter 1652; skipping update. +2025-10-31 16:22:23,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:23,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:23,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:23,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:23,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.7, mean=-0.3199, std=2.552, absmax=12.7 +2025-10-31 16:22:23,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=7.635, mean=-0.2771, std=2.126, absmax=11.22 +2025-10-31 16:22:24,241 ERROR: Encountered non-finite generator loss at iter 1653; skipping update. +2025-10-31 16:22:24,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:24,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:24,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.07, mean=-0.2916, std=2.648, absmax=12.4 +2025-10-31 16:22:24,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.361, mean=-0.3032, std=2.187, absmax=10.62 +2025-10-31 16:22:24,742 ERROR: Encountered non-finite generator loss at iter 1654; skipping update. +2025-10-31 16:22:24,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:24,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:24,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:24,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:24,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.71, mean=-0.133, std=3.11, absmax=13.89 +2025-10-31 16:22:24,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.67, mean=-0.1266, std=2.554, absmax=10.8 +2025-10-31 16:22:25,245 ERROR: Encountered non-finite generator loss at iter 1655; skipping update. +2025-10-31 16:22:25,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:25,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:25,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.7, mean=-0.07734, std=3.053, absmax=14.09 +2025-10-31 16:22:25,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.444, mean=-0.07824, std=2.45, absmax=11.01 +2025-10-31 16:22:25,747 ERROR: Encountered non-finite generator loss at iter 1656; skipping update. +2025-10-31 16:22:25,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:25,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:25,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:25,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:25,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.74, mean=0.0992, std=3.669, absmax=13.74 +2025-10-31 16:22:25,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=11.07, mean=0.06015, std=2.973, absmax=11.07 +2025-10-31 16:22:26,249 ERROR: Encountered non-finite generator loss at iter 1657; skipping update. +2025-10-31 16:22:26,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:26,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:26,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.79, mean=-0.09816, std=3.181, absmax=12.79 +2025-10-31 16:22:26,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.704, mean=-0.1289, std=2.62, absmax=11.63 +2025-10-31 16:22:26,752 ERROR: Encountered non-finite generator loss at iter 1658; skipping update. +2025-10-31 16:22:26,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:26,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:26,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:26,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:26,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=16.71, mean=-0.05239, std=2.895, absmax=16.71 +2025-10-31 16:22:26,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=11.36, mean=0.0132, std=2.405, absmax=11.36 +2025-10-31 16:22:27,253 ERROR: Encountered non-finite generator loss at iter 1659; skipping update. +2025-10-31 16:22:27,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:27,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:27,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.08, mean=-0.2812, std=2.706, absmax=11.79 +2025-10-31 16:22:27,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=7.912, mean=-0.2639, std=2.296, absmax=11.01 +2025-10-31 16:22:27,756 ERROR: Encountered non-finite generator loss at iter 1660; skipping update. +2025-10-31 16:22:27,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:27,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:27,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:27,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:27,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.99, mean=-0.1396, std=2.845, absmax=13.99 +2025-10-31 16:22:27,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.3, mean=-0.1667, std=2.536, absmax=10.91 +2025-10-31 16:22:28,256 ERROR: Encountered non-finite generator loss at iter 1661; skipping update. +2025-10-31 16:22:28,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:28,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:28,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.02, mean=-0.3096, std=3.366, absmax=13.22 +2025-10-31 16:22:28,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.59, mean=-0.2873, std=2.882, absmax=10.59 +2025-10-31 16:22:28,757 ERROR: Encountered non-finite generator loss at iter 1662; skipping update. +2025-10-31 16:22:28,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:28,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:28,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:28,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:28,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=11.46, mean=-0.2456, std=2.974, absmax=13.34 +2025-10-31 16:22:28,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.883, mean=-0.27, std=2.529, absmax=10.47 +2025-10-31 16:22:29,257 ERROR: Encountered non-finite generator loss at iter 1663; skipping update. +2025-10-31 16:22:29,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:29,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:29,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=10.68, mean=-0.2372, std=2.722, absmax=12.63 +2025-10-31 16:22:29,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.499, max=9.001, mean=-0.2045, std=2.397, absmax=9.499 +2025-10-31 16:22:29,757 ERROR: Encountered non-finite generator loss at iter 1664; skipping update. +2025-10-31 16:22:29,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:29,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:29,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:29,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:29,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.12, max=11.3, mean=-0.09932, std=2.612, absmax=16.12 +2025-10-31 16:22:29,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=9.175, mean=-0.091, std=2.266, absmax=10.61 +2025-10-31 16:22:30,259 ERROR: Encountered non-finite generator loss at iter 1665; skipping update. +2025-10-31 16:22:30,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:30,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:30,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=17.4, mean=-0.06991, std=3.142, absmax=17.4 +2025-10-31 16:22:30,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=12.48, mean=-0.09278, std=2.564, absmax=12.48 +2025-10-31 16:22:30,760 ERROR: Encountered non-finite generator loss at iter 1666; skipping update. +2025-10-31 16:22:30,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:30,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:30,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:30,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:30,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=12.66, mean=-0.4006, std=3.369, absmax=14.95 +2025-10-31 16:22:30,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.763, mean=-0.4141, std=2.89, absmax=11.34 +2025-10-31 16:22:31,259 ERROR: Encountered non-finite generator loss at iter 1667; skipping update. +2025-10-31 16:22:31,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:31,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:31,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=16.3, mean=-0.2917, std=3.365, absmax=16.3 +2025-10-31 16:22:31,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=9.962, mean=-0.2577, std=2.863, absmax=12.18 +2025-10-31 16:22:31,760 ERROR: Encountered non-finite generator loss at iter 1668; skipping update. +2025-10-31 16:22:31,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:31,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:31,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:31,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:31,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=16.68, mean=-0.2342, std=3.109, absmax=16.68 +2025-10-31 16:22:31,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=10.78, mean=-0.1834, std=2.677, absmax=10.78 +2025-10-31 16:22:32,261 ERROR: Encountered non-finite generator loss at iter 1669; skipping update. +2025-10-31 16:22:32,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:32,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:32,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.11, max=14.15, mean=-0.1182, std=3.337, absmax=19.11 +2025-10-31 16:22:32,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=11.25, mean=-0.1281, std=2.754, absmax=12.33 +2025-10-31 16:22:32,761 ERROR: Encountered non-finite generator loss at iter 1670; skipping update. +2025-10-31 16:22:32,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:32,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:32,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:32,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:32,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.48, mean=-0.1287, std=2.713, absmax=13.48 +2025-10-31 16:22:32,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.676, max=9.642, mean=-0.1724, std=2.298, absmax=9.676 +2025-10-31 16:22:33,259 ERROR: Encountered non-finite generator loss at iter 1671; skipping update. +2025-10-31 16:22:33,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:33,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:33,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=11.63, mean=-0.09393, std=3.032, absmax=11.63 +2025-10-31 16:22:33,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.806, max=9.634, mean=-0.03141, std=2.627, absmax=9.634 +2025-10-31 16:22:33,759 ERROR: Encountered non-finite generator loss at iter 1672; skipping update. +2025-10-31 16:22:33,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:33,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:33,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:33,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:33,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.43, mean=-0.01604, std=3.104, absmax=15.43 +2025-10-31 16:22:33,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=9.546, mean=-0.04448, std=2.498, absmax=9.546 +2025-10-31 16:22:34,260 ERROR: Encountered non-finite generator loss at iter 1673; skipping update. +2025-10-31 16:22:34,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:34,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:34,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=13.51, mean=0.2231, std=3.618, absmax=15.4 +2025-10-31 16:22:34,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.82, mean=0.08747, std=3.008, absmax=11.82 +2025-10-31 16:22:34,762 ERROR: Encountered non-finite generator loss at iter 1674; skipping update. +2025-10-31 16:22:34,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:34,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:34,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:34,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:34,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.48, mean=-0.1077, std=2.994, absmax=13.48 +2025-10-31 16:22:34,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.7, mean=-0.1306, std=2.433, absmax=11.7 +2025-10-31 16:22:35,262 ERROR: Encountered non-finite generator loss at iter 1675; skipping update. +2025-10-31 16:22:35,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:35,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:35,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.73, mean=-0.1951, std=3.137, absmax=13.34 +2025-10-31 16:22:35,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=11.91, mean=-0.2031, std=3.014, absmax=12.09 +2025-10-31 16:22:35,762 ERROR: Encountered non-finite generator loss at iter 1676; skipping update. +2025-10-31 16:22:35,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:35,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:35,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:35,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:35,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.97, max=15.97, mean=-0.06507, std=3.877, absmax=16.97 +2025-10-31 16:22:35,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=9.884, mean=-0.09545, std=3.14, absmax=11.07 +2025-10-31 16:22:36,262 ERROR: Encountered non-finite generator loss at iter 1677; skipping update. +2025-10-31 16:22:36,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:36,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:36,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.13, mean=-0.06566, std=2.91, absmax=13.31 +2025-10-31 16:22:36,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=9.988, mean=-0.1353, std=2.444, absmax=9.988 +2025-10-31 16:22:36,761 ERROR: Encountered non-finite generator loss at iter 1678; skipping update. +2025-10-31 16:22:36,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:36,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:36,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:36,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:36,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=17.43, mean=-0.09345, std=3.04, absmax=17.43 +2025-10-31 16:22:36,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.753, max=9.833, mean=-0.1164, std=2.51, absmax=9.833 +2025-10-31 16:22:37,261 ERROR: Encountered non-finite generator loss at iter 1679; skipping update. +2025-10-31 16:22:37,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:37,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:37,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.94, mean=-0.2004, std=3.063, absmax=11.94 +2025-10-31 16:22:37,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=9.403, mean=-0.1912, std=2.607, absmax=9.728 +2025-10-31 16:22:37,762 ERROR: Encountered non-finite generator loss at iter 1680; skipping update. +2025-10-31 16:22:37,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:37,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:37,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:37,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:37,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=10.71, mean=-0.4005, std=3.224, absmax=12.92 +2025-10-31 16:22:37,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=7.43, mean=-0.35, std=2.517, absmax=10.75 +2025-10-31 16:22:38,261 ERROR: Encountered non-finite generator loss at iter 1681; skipping update. +2025-10-31 16:22:38,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:38,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:38,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.87, mean=-0.1563, std=2.941, absmax=13.87 +2025-10-31 16:22:38,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=11.07, mean=-0.1897, std=2.467, absmax=11.07 +2025-10-31 16:22:38,762 ERROR: Encountered non-finite generator loss at iter 1682; skipping update. +2025-10-31 16:22:38,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:38,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:38,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:38,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:38,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=10.13, mean=-0.1309, std=2.33, absmax=11.38 +2025-10-31 16:22:38,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.68, max=9.238, mean=-0.1286, std=1.969, absmax=9.238 +2025-10-31 16:22:39,262 ERROR: Encountered non-finite generator loss at iter 1683; skipping update. +2025-10-31 16:22:39,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:39,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:39,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.24, mean=-0.07477, std=2.903, absmax=12.58 +2025-10-31 16:22:39,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.588, max=9.538, mean=-0.07712, std=2.467, absmax=9.588 +2025-10-31 16:22:39,761 ERROR: Encountered non-finite generator loss at iter 1684; skipping update. +2025-10-31 16:22:39,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:39,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:39,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:39,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:39,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.24, mean=-0.205, std=3.079, absmax=13.24 +2025-10-31 16:22:39,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.723, mean=-0.2023, std=2.59, absmax=10.71 +2025-10-31 16:22:40,262 ERROR: Encountered non-finite generator loss at iter 1685; skipping update. +2025-10-31 16:22:40,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:40,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:40,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.07, mean=-0.1079, std=3.046, absmax=13.7 +2025-10-31 16:22:40,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.05, mean=-0.101, std=2.592, absmax=11.05 +2025-10-31 16:22:40,763 ERROR: Encountered non-finite generator loss at iter 1686; skipping update. +2025-10-31 16:22:40,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:40,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:40,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:40,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:40,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.43, mean=-0.2298, std=3.094, absmax=14.43 +2025-10-31 16:22:40,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.828, mean=-0.2176, std=2.576, absmax=10.46 +2025-10-31 16:22:41,265 ERROR: Encountered non-finite generator loss at iter 1687; skipping update. +2025-10-31 16:22:41,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:41,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:41,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.26, mean=-0.2583, std=2.679, absmax=13.26 +2025-10-31 16:22:41,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.964, max=7.636, mean=-0.2831, std=2.204, absmax=8.964 +2025-10-31 16:22:41,766 ERROR: Encountered non-finite generator loss at iter 1688; skipping update. +2025-10-31 16:22:41,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:41,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:41,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:41,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:41,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.26, mean=-0.0009288, std=2.91, absmax=14.26 +2025-10-31 16:22:41,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.678, max=11.09, mean=-0.02708, std=2.37, absmax=11.09 +2025-10-31 16:22:42,269 ERROR: Encountered non-finite generator loss at iter 1689; skipping update. +2025-10-31 16:22:42,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:42,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:42,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.28, mean=-0.3176, std=3.138, absmax=12.96 +2025-10-31 16:22:42,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=8.633, mean=-0.29, std=2.581, absmax=11.65 +2025-10-31 16:22:42,767 ERROR: Encountered non-finite generator loss at iter 1690; skipping update. +2025-10-31 16:22:42,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:42,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:42,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:42,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:42,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.32, mean=-0.065, std=3.325, absmax=14.02 +2025-10-31 16:22:42,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.15, mean=-0.05827, std=2.655, absmax=11.27 +2025-10-31 16:22:43,268 ERROR: Encountered non-finite generator loss at iter 1691; skipping update. +2025-10-31 16:22:43,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:43,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:43,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.45, mean=-0.05775, std=3.076, absmax=13.45 +2025-10-31 16:22:43,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=11.87, mean=-0.08083, std=2.686, absmax=11.97 +2025-10-31 16:22:43,772 ERROR: Encountered non-finite generator loss at iter 1692; skipping update. +2025-10-31 16:22:43,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:43,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:43,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:43,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:43,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.89, mean=-0.06164, std=2.851, absmax=13.05 +2025-10-31 16:22:43,789 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.79, mean=-0.1022, std=2.369, absmax=10.22 +2025-10-31 16:22:44,283 ERROR: Encountered non-finite generator loss at iter 1693; skipping update. +2025-10-31 16:22:44,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:44,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:44,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=11.95, mean=-0.2117, std=2.506, absmax=11.95 +2025-10-31 16:22:44,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.556, mean=-0.1943, std=2.185, absmax=10.77 +2025-10-31 16:22:44,784 ERROR: Encountered non-finite generator loss at iter 1694; skipping update. +2025-10-31 16:22:44,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:44,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:44,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:44,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:44,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=14.62, mean=-0.2039, std=3.8, absmax=14.62 +2025-10-31 16:22:44,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.69, max=11.5, mean=-0.1835, std=3.314, absmax=13.69 +2025-10-31 16:22:45,286 ERROR: Encountered non-finite generator loss at iter 1695; skipping update. +2025-10-31 16:22:45,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:45,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:45,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.81, mean=0.02235, std=3.146, absmax=13.81 +2025-10-31 16:22:45,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=12.11, mean=-0.005581, std=2.707, absmax=12.11 +2025-10-31 16:22:45,788 ERROR: Encountered non-finite generator loss at iter 1696; skipping update. +2025-10-31 16:22:45,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:45,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:45,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:45,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:45,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.1, mean=-0.2673, std=3.282, absmax=14.19 +2025-10-31 16:22:45,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.73, max=11.29, mean=-0.2298, std=2.781, absmax=12.73 +2025-10-31 16:22:46,291 ERROR: Encountered non-finite generator loss at iter 1697; skipping update. +2025-10-31 16:22:46,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:46,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:46,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.56, mean=-0.3536, std=3.282, absmax=11.97 +2025-10-31 16:22:46,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.496, mean=-0.3596, std=2.792, absmax=10.49 +2025-10-31 16:22:46,795 ERROR: Encountered non-finite generator loss at iter 1698; skipping update. +2025-10-31 16:22:46,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:46,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:46,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:46,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:46,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.44, mean=-0.1038, std=3.125, absmax=12.44 +2025-10-31 16:22:46,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.004, max=9.993, mean=-0.1149, std=2.47, absmax=9.993 +2025-10-31 16:22:47,299 ERROR: Encountered non-finite generator loss at iter 1699; skipping update. +2025-10-31 16:22:47,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:47,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:47,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.09, mean=-0.1326, std=3.088, absmax=13.22 +2025-10-31 16:22:47,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.21, mean=-0.1491, std=2.591, absmax=11.26 +2025-10-31 16:22:47,802 ERROR: Encountered non-finite generator loss at iter 1700; skipping update. +2025-10-31 16:22:47,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:47,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:47,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:47,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:47,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.25, mean=-0.1415, std=3.475, absmax=13.25 +2025-10-31 16:22:47,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.38, mean=-0.1451, std=2.828, absmax=10.64 +2025-10-31 16:22:47,814 INFO: [29..][epoch: 0, step: 1,700, lr:(1.500e-04,)] [eta: 1 day, 21:41:58, time (data): 0.501 (0.000)] +2025-10-31 16:22:48,305 ERROR: Encountered non-finite generator loss at iter 1701; skipping update. +2025-10-31 16:22:48,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:48,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:48,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.05, mean=-0.2417, std=3.481, absmax=15.05 +2025-10-31 16:22:48,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=13.1, mean=-0.2247, std=3.08, absmax=13.1 +2025-10-31 16:22:48,809 ERROR: Encountered non-finite generator loss at iter 1702; skipping update. +2025-10-31 16:22:48,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:48,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:48,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:48,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:48,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.56, mean=-0.1169, std=2.658, absmax=13.56 +2025-10-31 16:22:48,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.068, max=10.38, mean=-0.08611, std=2.291, absmax=10.38 +2025-10-31 16:22:49,314 ERROR: Encountered non-finite generator loss at iter 1703; skipping update. +2025-10-31 16:22:49,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:49,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:49,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.06, mean=-0.2198, std=2.73, absmax=13.06 +2025-10-31 16:22:49,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.783, max=8.592, mean=-0.1825, std=2.345, absmax=9.783 +2025-10-31 16:22:49,817 ERROR: Encountered non-finite generator loss at iter 1704; skipping update. +2025-10-31 16:22:49,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:49,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:49,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:49,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:49,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.37, mean=0.03625, std=3.08, absmax=13.37 +2025-10-31 16:22:49,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.353, max=11.23, mean=-0.02498, std=2.577, absmax=11.23 +2025-10-31 16:22:50,321 ERROR: Encountered non-finite generator loss at iter 1705; skipping update. +2025-10-31 16:22:50,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:50,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:50,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=18.51, mean=-0.2199, std=2.55, absmax=18.51 +2025-10-31 16:22:50,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.388, max=12.63, mean=-0.2355, std=2.079, absmax=12.63 +2025-10-31 16:22:50,824 ERROR: Encountered non-finite generator loss at iter 1706; skipping update. +2025-10-31 16:22:50,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:50,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:50,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:50,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:50,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.4, mean=-0.193, std=3.298, absmax=14.13 +2025-10-31 16:22:50,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=8.356, mean=-0.1492, std=2.72, absmax=10.83 +2025-10-31 16:22:51,328 ERROR: Encountered non-finite generator loss at iter 1707; skipping update. +2025-10-31 16:22:51,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:51,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:51,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.91, mean=-0.2267, std=3.267, absmax=13.91 +2025-10-31 16:22:51,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.656, mean=-0.1917, std=2.725, absmax=11.18 +2025-10-31 16:22:51,831 ERROR: Encountered non-finite generator loss at iter 1708; skipping update. +2025-10-31 16:22:51,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:51,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:51,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:51,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:51,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=15.3, mean=-0.1985, std=3.033, absmax=15.3 +2025-10-31 16:22:51,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=12.95, mean=-0.2019, std=2.622, absmax=13.26 +2025-10-31 16:22:52,336 ERROR: Encountered non-finite generator loss at iter 1709; skipping update. +2025-10-31 16:22:52,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:52,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:52,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.47, mean=-0.01494, std=2.93, absmax=12.47 +2025-10-31 16:22:52,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.121, max=10.13, mean=-0.05039, std=2.533, absmax=10.13 +2025-10-31 16:22:52,837 ERROR: Encountered non-finite generator loss at iter 1710; skipping update. +2025-10-31 16:22:52,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:52,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:52,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:52,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:52,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.7, mean=-0.1203, std=2.947, absmax=13.7 +2025-10-31 16:22:52,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=9.932, mean=-0.1288, std=2.303, absmax=9.932 +2025-10-31 16:22:53,341 ERROR: Encountered non-finite generator loss at iter 1711; skipping update. +2025-10-31 16:22:53,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:53,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:53,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=15.36, mean=-0.01898, std=3.307, absmax=15.36 +2025-10-31 16:22:53,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=14.78, mean=0.0234, std=3.047, absmax=14.78 +2025-10-31 16:22:53,847 ERROR: Encountered non-finite generator loss at iter 1712; skipping update. +2025-10-31 16:22:53,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:53,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:53,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:53,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:53,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.67, max=16.77, mean=-0.1142, std=3.055, absmax=16.77 +2025-10-31 16:22:53,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.74, max=11.3, mean=-0.1507, std=2.722, absmax=12.74 +2025-10-31 16:22:54,352 ERROR: Encountered non-finite generator loss at iter 1713; skipping update. +2025-10-31 16:22:54,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,356 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,357 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:54,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:54,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=15.8, mean=0.175, std=3.424, absmax=15.8 +2025-10-31 16:22:54,362 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.07, mean=0.1552, std=2.708, absmax=11.07 +2025-10-31 16:22:54,855 ERROR: Encountered non-finite generator loss at iter 1714; skipping update. +2025-10-31 16:22:54,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,860 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:54,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:54,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:54,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:54,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.08, mean=-0.3029, std=2.903, absmax=13.08 +2025-10-31 16:22:54,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.911, mean=-0.3161, std=2.55, absmax=10.31 +2025-10-31 16:22:55,358 ERROR: Encountered non-finite generator loss at iter 1715; skipping update. +2025-10-31 16:22:55,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:55,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:55,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=10.96, mean=-0.1845, std=2.531, absmax=11.48 +2025-10-31 16:22:55,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.902, max=7.889, mean=-0.1958, std=2.07, absmax=8.902 +2025-10-31 16:22:55,868 ERROR: Encountered non-finite generator loss at iter 1716; skipping update. +2025-10-31 16:22:55,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,871 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,872 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:55,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:55,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:55,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:55,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.95, mean=-0.3104, std=2.605, absmax=12.41 +2025-10-31 16:22:55,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.717, max=8.866, mean=-0.2491, std=2.385, absmax=9.717 +2025-10-31 16:22:56,372 ERROR: Encountered non-finite generator loss at iter 1717; skipping update. +2025-10-31 16:22:56,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:56,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:56,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.3, mean=-0.1024, std=3.445, absmax=13.3 +2025-10-31 16:22:56,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=10.84, mean=-0.189, std=2.988, absmax=10.84 +2025-10-31 16:22:56,880 ERROR: Encountered non-finite generator loss at iter 1718; skipping update. +2025-10-31 16:22:56,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:56,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:56,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:56,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:56,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.56, mean=-0.2485, std=2.743, absmax=14.56 +2025-10-31 16:22:56,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.439, max=11.24, mean=-0.2241, std=2.243, absmax=11.24 +2025-10-31 16:22:57,383 ERROR: Encountered non-finite generator loss at iter 1719; skipping update. +2025-10-31 16:22:57,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:57,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:57,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.47, mean=-0.1362, std=2.975, absmax=12.55 +2025-10-31 16:22:57,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.681, mean=-0.1795, std=2.411, absmax=10.26 +2025-10-31 16:22:57,892 ERROR: Encountered non-finite generator loss at iter 1720; skipping update. +2025-10-31 16:22:57,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:57,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:57,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:57,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:57,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.44, mean=0.2172, std=3.231, absmax=12.44 +2025-10-31 16:22:57,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=11.26, mean=0.2052, std=2.784, absmax=11.26 +2025-10-31 16:22:58,394 ERROR: Encountered non-finite generator loss at iter 1721; skipping update. +2025-10-31 16:22:58,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:58,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:58,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.38, mean=-0.07094, std=3.287, absmax=14.38 +2025-10-31 16:22:58,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.745, max=11.31, mean=-0.04335, std=2.625, absmax=11.31 +2025-10-31 16:22:58,902 ERROR: Encountered non-finite generator loss at iter 1722; skipping update. +2025-10-31 16:22:58,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,906 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:58,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:58,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:58,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:58,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=11.23, mean=-0.08004, std=2.581, absmax=15.22 +2025-10-31 16:22:58,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.358, max=8.846, mean=-0.08382, std=2.198, absmax=9.358 +2025-10-31 16:22:59,405 ERROR: Encountered non-finite generator loss at iter 1723; skipping update. +2025-10-31 16:22:59,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,412 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:59,413 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:59,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.56, mean=-0.145, std=2.832, absmax=13.6 +2025-10-31 16:22:59,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.417, max=9.756, mean=-0.1514, std=2.363, absmax=9.756 +2025-10-31 16:22:59,911 ERROR: Encountered non-finite generator loss at iter 1724; skipping update. +2025-10-31 16:22:59,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:22:59,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:22:59,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:22:59,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:22:59,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.06, mean=0.005469, std=2.953, absmax=14.8 +2025-10-31 16:22:59,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.342, mean=-0.05748, std=2.325, absmax=10.28 +2025-10-31 16:23:00,413 ERROR: Encountered non-finite generator loss at iter 1725; skipping update. +2025-10-31 16:23:00,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,419 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:00,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:00,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.4, mean=-0.2836, std=2.899, absmax=13.02 +2025-10-31 16:23:00,424 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.796, max=9.55, mean=-0.2595, std=2.349, absmax=9.796 +2025-10-31 16:23:00,918 ERROR: Encountered non-finite generator loss at iter 1726; skipping update. +2025-10-31 16:23:00,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,923 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:00,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:00,925 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:00,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:00,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=14.28, mean=-0.1408, std=3.012, absmax=14.28 +2025-10-31 16:23:00,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.153, mean=-0.1036, std=2.546, absmax=11.12 +2025-10-31 16:23:01,419 ERROR: Encountered non-finite generator loss at iter 1727; skipping update. +2025-10-31 16:23:01,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:01,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:01,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.83, mean=-0.1632, std=2.807, absmax=11.83 +2025-10-31 16:23:01,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.047, max=9.274, mean=-0.1645, std=2.287, absmax=9.274 +2025-10-31 16:23:01,923 ERROR: Encountered non-finite generator loss at iter 1728; skipping update. +2025-10-31 16:23:01,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:01,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:01,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:01,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:01,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.52, mean=-0.1558, std=2.762, absmax=12.48 +2025-10-31 16:23:01,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.924, max=7.929, mean=-0.1555, std=2.287, absmax=9.924 +2025-10-31 16:23:02,424 ERROR: Encountered non-finite generator loss at iter 1729; skipping update. +2025-10-31 16:23:02,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:02,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:02,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.2, mean=-0.1409, std=3.362, absmax=15.2 +2025-10-31 16:23:02,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=10.7, mean=-0.1786, std=2.872, absmax=11.34 +2025-10-31 16:23:02,931 ERROR: Encountered non-finite generator loss at iter 1730; skipping update. +2025-10-31 16:23:02,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:02,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:02,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:02,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:02,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.95, mean=-0.08901, std=3.164, absmax=13.95 +2025-10-31 16:23:02,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=11.71, mean=-0.08681, std=2.739, absmax=11.71 +2025-10-31 16:23:03,431 ERROR: Encountered non-finite generator loss at iter 1731; skipping update. +2025-10-31 16:23:03,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,437 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:03,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:03,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.69, mean=-0.07301, std=3.174, absmax=12.13 +2025-10-31 16:23:03,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.938, max=8.749, mean=-0.08186, std=2.589, absmax=9.938 +2025-10-31 16:23:03,944 ERROR: Encountered non-finite generator loss at iter 1732; skipping update. +2025-10-31 16:23:03,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:03,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:03,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:03,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:03,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.56, mean=-0.1493, std=3.176, absmax=12.69 +2025-10-31 16:23:03,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=10.89, mean=-0.1607, std=2.75, absmax=10.89 +2025-10-31 16:23:04,445 ERROR: Encountered non-finite generator loss at iter 1733; skipping update. +2025-10-31 16:23:04,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:04,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:04,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.64, max=12.32, mean=-0.1916, std=3.227, absmax=16.64 +2025-10-31 16:23:04,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.23, max=10.69, mean=-0.2152, std=2.775, absmax=14.23 +2025-10-31 16:23:04,951 ERROR: Encountered non-finite generator loss at iter 1734; skipping update. +2025-10-31 16:23:04,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:04,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:04,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:04,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:04,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.9, mean=-0.318, std=3.327, absmax=13.68 +2025-10-31 16:23:04,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.02, mean=-0.2949, std=2.667, absmax=11.27 +2025-10-31 16:23:05,452 ERROR: Encountered non-finite generator loss at iter 1735; skipping update. +2025-10-31 16:23:05,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:05,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:05,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.27, mean=-0.0215, std=3.358, absmax=14.27 +2025-10-31 16:23:05,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.953, max=12.56, mean=-0.09585, std=2.813, absmax=12.56 +2025-10-31 16:23:05,958 ERROR: Encountered non-finite generator loss at iter 1736; skipping update. +2025-10-31 16:23:05,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:05,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:05,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:05,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:05,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.23, mean=-0.1203, std=2.8, absmax=12.23 +2025-10-31 16:23:05,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=9.236, mean=-0.1208, std=2.314, absmax=9.236 +2025-10-31 16:23:06,458 ERROR: Encountered non-finite generator loss at iter 1737; skipping update. +2025-10-31 16:23:06,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:06,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:06,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=15.66, mean=-0.1662, std=3.707, absmax=15.66 +2025-10-31 16:23:06,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=11.38, mean=-0.1451, std=3.126, absmax=11.38 +2025-10-31 16:23:06,963 ERROR: Encountered non-finite generator loss at iter 1738; skipping update. +2025-10-31 16:23:06,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:06,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:06,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:06,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:06,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.85, mean=-0.1886, std=3.17, absmax=13.11 +2025-10-31 16:23:06,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.693, mean=-0.2214, std=2.825, absmax=11.06 +2025-10-31 16:23:07,465 ERROR: Encountered non-finite generator loss at iter 1739; skipping update. +2025-10-31 16:23:07,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:07,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:07,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.35, mean=-0.3438, std=3.17, absmax=14.05 +2025-10-31 16:23:07,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=10.47, mean=-0.329, std=2.721, absmax=12.04 +2025-10-31 16:23:07,978 ERROR: Encountered non-finite generator loss at iter 1740; skipping update. +2025-10-31 16:23:07,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,984 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:07,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:07,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:07,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:07,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.57, mean=0.09136, std=3.064, absmax=12.57 +2025-10-31 16:23:07,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.3, mean=0.08888, std=2.628, absmax=11.36 +2025-10-31 16:23:08,482 ERROR: Encountered non-finite generator loss at iter 1741; skipping update. +2025-10-31 16:23:08,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:08,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:08,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=15.28, mean=-0.008635, std=3.857, absmax=15.28 +2025-10-31 16:23:08,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=11.15, mean=-0.0232, std=3.38, absmax=13.45 +2025-10-31 16:23:08,985 ERROR: Encountered non-finite generator loss at iter 1742; skipping update. +2025-10-31 16:23:08,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:08,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:08,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:08,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:08,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.3, mean=-0.04743, std=2.856, absmax=12.88 +2025-10-31 16:23:08,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=9.717, mean=-0.09207, std=2.368, absmax=10.82 +2025-10-31 16:23:09,494 ERROR: Encountered non-finite generator loss at iter 1743; skipping update. +2025-10-31 16:23:09,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:09,497 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:09,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:09,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:09,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:09,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:09,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:09,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:09,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=9.271, mean=-0.2633, std=2.539, absmax=11.95 +2025-10-31 16:23:09,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.042, max=7.17, mean=-0.2545, std=2.112, absmax=9.042 +2025-10-31 16:23:10,001 ERROR: Encountered non-finite generator loss at iter 1744; skipping update. +2025-10-31 16:23:10,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:10,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:10,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=9.995, mean=-0.1087, std=2.487, absmax=10.38 +2025-10-31 16:23:10,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.671, max=10.57, mean=-0.07389, std=2.342, absmax=10.57 +2025-10-31 16:23:10,505 ERROR: Encountered non-finite generator loss at iter 1745; skipping update. +2025-10-31 16:23:10,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:10,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:10,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:10,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:10,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=13.09, mean=-0.3696, std=2.862, absmax=15.28 +2025-10-31 16:23:10,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=8.65, mean=-0.3213, std=2.437, absmax=10.06 +2025-10-31 16:23:11,015 ERROR: Encountered non-finite generator loss at iter 1746; skipping update. +2025-10-31 16:23:11,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,021 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:11,023 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:11,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.06, mean=-0.3043, std=2.283, absmax=12.14 +2025-10-31 16:23:11,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=8.284, mean=-0.2441, std=2.028, absmax=9.948 +2025-10-31 16:23:11,517 ERROR: Encountered non-finite generator loss at iter 1747; skipping update. +2025-10-31 16:23:11,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:11,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:11,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:11,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:11,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.66, mean=-0.119, std=2.83, absmax=12.66 +2025-10-31 16:23:11,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.33, max=10.06, mean=-0.129, std=2.434, absmax=10.06 +2025-10-31 16:23:12,024 ERROR: Encountered non-finite generator loss at iter 1748; skipping update. +2025-10-31 16:23:12,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:12,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:12,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.36, max=15.73, mean=-0.1503, std=3.355, absmax=16.36 +2025-10-31 16:23:12,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.02, mean=-0.1337, std=2.651, absmax=12.02 +2025-10-31 16:23:12,527 ERROR: Encountered non-finite generator loss at iter 1749; skipping update. +2025-10-31 16:23:12,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:12,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:12,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:12,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:12,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.31, mean=-0.02267, std=2.684, absmax=12.67 +2025-10-31 16:23:12,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=9.137, mean=-0.008494, std=2.315, absmax=9.51 +2025-10-31 16:23:13,039 ERROR: Encountered non-finite generator loss at iter 1750; skipping update. +2025-10-31 16:23:13,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:13,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:13,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.41, mean=0.199, std=3.846, absmax=14.41 +2025-10-31 16:23:13,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=12.71, mean=0.1096, std=3.331, absmax=12.71 +2025-10-31 16:23:13,544 ERROR: Encountered non-finite generator loss at iter 1751; skipping update. +2025-10-31 16:23:13,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:13,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:13,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:13,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:13,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.57, mean=-0.1358, std=2.855, absmax=12.1 +2025-10-31 16:23:13,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.55, mean=-0.1319, std=2.304, absmax=11.02 +2025-10-31 16:23:14,055 ERROR: Encountered non-finite generator loss at iter 1752; skipping update. +2025-10-31 16:23:14,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:14,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:14,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=12, mean=-0.1151, std=2.642, absmax=15.31 +2025-10-31 16:23:14,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=9.008, mean=-0.1104, std=2.209, absmax=12.9 +2025-10-31 16:23:14,556 ERROR: Encountered non-finite generator loss at iter 1753; skipping update. +2025-10-31 16:23:14,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:14,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:14,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:14,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:14,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.75, mean=-0.1387, std=3.005, absmax=14.87 +2025-10-31 16:23:14,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.43, mean=-0.14, std=2.617, absmax=11.43 +2025-10-31 16:23:15,066 ERROR: Encountered non-finite generator loss at iter 1754; skipping update. +2025-10-31 16:23:15,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:15,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:15,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.6, mean=-0.03559, std=3.247, absmax=13.13 +2025-10-31 16:23:15,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.54, mean=-0.01717, std=2.738, absmax=11.63 +2025-10-31 16:23:15,570 ERROR: Encountered non-finite generator loss at iter 1755; skipping update. +2025-10-31 16:23:15,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:15,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:15,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:15,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:15,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.97, mean=-0.2649, std=3.498, absmax=13.11 +2025-10-31 16:23:15,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.492, mean=-0.2358, std=2.834, absmax=10.02 +2025-10-31 16:23:16,079 ERROR: Encountered non-finite generator loss at iter 1756; skipping update. +2025-10-31 16:23:16,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:16,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:16,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.28, mean=-0.2268, std=2.869, absmax=14.28 +2025-10-31 16:23:16,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=12.56, mean=-0.2509, std=2.608, absmax=12.56 +2025-10-31 16:23:16,582 ERROR: Encountered non-finite generator loss at iter 1757; skipping update. +2025-10-31 16:23:16,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:16,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:16,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:16,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:16,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.38, mean=-0.1875, std=2.807, absmax=14.38 +2025-10-31 16:23:16,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=10.78, mean=-0.216, std=2.547, absmax=10.78 +2025-10-31 16:23:17,089 ERROR: Encountered non-finite generator loss at iter 1758; skipping update. +2025-10-31 16:23:17,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:17,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:17,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.09, mean=-0.3884, std=3.212, absmax=13.21 +2025-10-31 16:23:17,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=9.585, mean=-0.3966, std=2.698, absmax=11.76 +2025-10-31 16:23:17,594 ERROR: Encountered non-finite generator loss at iter 1759; skipping update. +2025-10-31 16:23:17,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:17,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:17,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:17,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:17,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.68, mean=-0.1486, std=3.05, absmax=13.68 +2025-10-31 16:23:17,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.003, max=11.43, mean=-0.1654, std=2.531, absmax=11.43 +2025-10-31 16:23:18,103 ERROR: Encountered non-finite generator loss at iter 1760; skipping update. +2025-10-31 16:23:18,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:18,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:18,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.63, mean=-0.2375, std=3.002, absmax=11.91 +2025-10-31 16:23:18,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=8.521, mean=-0.238, std=2.375, absmax=9.701 +2025-10-31 16:23:18,607 ERROR: Encountered non-finite generator loss at iter 1761; skipping update. +2025-10-31 16:23:18,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:18,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:18,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:18,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:18,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.11, mean=-0.1029, std=3.252, absmax=14.11 +2025-10-31 16:23:18,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=8.546, mean=-0.1419, std=2.565, absmax=11.61 +2025-10-31 16:23:19,114 ERROR: Encountered non-finite generator loss at iter 1762; skipping update. +2025-10-31 16:23:19,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:19,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:19,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=11.03, mean=-0.3356, std=3.391, absmax=14.61 +2025-10-31 16:23:19,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.392, mean=-0.3657, std=2.834, absmax=11.16 +2025-10-31 16:23:19,617 ERROR: Encountered non-finite generator loss at iter 1763; skipping update. +2025-10-31 16:23:19,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:19,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:19,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:19,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:19,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=11.43, mean=-0.2972, std=2.791, absmax=13.77 +2025-10-31 16:23:19,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.568, max=7.794, mean=-0.2817, std=2.344, absmax=9.568 +2025-10-31 16:23:20,121 ERROR: Encountered non-finite generator loss at iter 1764; skipping update. +2025-10-31 16:23:20,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:20,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:20,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.16, mean=-0.1327, std=2.976, absmax=14.74 +2025-10-31 16:23:20,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.26, mean=-0.1349, std=2.341, absmax=10.26 +2025-10-31 16:23:20,626 ERROR: Encountered non-finite generator loss at iter 1765; skipping update. +2025-10-31 16:23:20,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:20,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:20,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:20,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:20,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.49, mean=0.1518, std=4.303, absmax=14.49 +2025-10-31 16:23:20,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=12.34, mean=0.1298, std=3.7, absmax=12.34 +2025-10-31 16:23:21,129 ERROR: Encountered non-finite generator loss at iter 1766; skipping update. +2025-10-31 16:23:21,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:21,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:21,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.05, mean=0.05086, std=3.334, absmax=13.05 +2025-10-31 16:23:21,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=11.45, mean=0.09312, std=2.869, absmax=11.45 +2025-10-31 16:23:21,631 ERROR: Encountered non-finite generator loss at iter 1767; skipping update. +2025-10-31 16:23:21,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:21,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:21,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:21,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:21,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.32, mean=-0.1603, std=3.023, absmax=14.11 +2025-10-31 16:23:21,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.947, mean=-0.1428, std=2.586, absmax=10.27 +2025-10-31 16:23:22,137 ERROR: Encountered non-finite generator loss at iter 1768; skipping update. +2025-10-31 16:23:22,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:22,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:22,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=13.27, mean=-0.2793, std=3.104, absmax=13.66 +2025-10-31 16:23:22,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.546, mean=-0.2866, std=2.605, absmax=10.91 +2025-10-31 16:23:22,641 ERROR: Encountered non-finite generator loss at iter 1769; skipping update. +2025-10-31 16:23:22,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:22,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:22,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:22,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:22,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=16.57, mean=-0.1114, std=2.752, absmax=16.57 +2025-10-31 16:23:22,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.374, max=9.887, mean=-0.1357, std=2.186, absmax=9.887 +2025-10-31 16:23:23,143 ERROR: Encountered non-finite generator loss at iter 1770; skipping update. +2025-10-31 16:23:23,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:23,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:23,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.21, mean=-0.03334, std=3.846, absmax=14.21 +2025-10-31 16:23:23,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=11.43, mean=-0.04858, std=3.026, absmax=11.43 +2025-10-31 16:23:23,647 ERROR: Encountered non-finite generator loss at iter 1771; skipping update. +2025-10-31 16:23:23,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:23,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:23,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:23,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:23,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.28, mean=-0.2262, std=2.632, absmax=11.4 +2025-10-31 16:23:23,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.312, max=10.04, mean=-0.2232, std=2.259, absmax=10.04 +2025-10-31 16:23:24,150 ERROR: Encountered non-finite generator loss at iter 1772; skipping update. +2025-10-31 16:23:24,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:24,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:24,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.15, mean=-0.1247, std=2.753, absmax=14.15 +2025-10-31 16:23:24,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.953, mean=-0.1418, std=2.344, absmax=11.27 +2025-10-31 16:23:24,651 ERROR: Encountered non-finite generator loss at iter 1773; skipping update. +2025-10-31 16:23:24,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:24,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:24,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:24,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:24,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.75, mean=-0.2468, std=3.175, absmax=13.21 +2025-10-31 16:23:24,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=9.05, mean=-0.2453, std=2.688, absmax=11.51 +2025-10-31 16:23:25,154 ERROR: Encountered non-finite generator loss at iter 1774; skipping update. +2025-10-31 16:23:25,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:25,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:25,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.28, mean=-0.2578, std=2.873, absmax=14.05 +2025-10-31 16:23:25,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=10.08, mean=-0.2514, std=2.342, absmax=10.08 +2025-10-31 16:23:25,655 ERROR: Encountered non-finite generator loss at iter 1775; skipping update. +2025-10-31 16:23:25,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:25,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:25,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:25,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:25,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.85, mean=-0.3275, std=3.393, absmax=13.02 +2025-10-31 16:23:25,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.26, mean=-0.2973, std=2.91, absmax=11.04 +2025-10-31 16:23:26,161 ERROR: Encountered non-finite generator loss at iter 1776; skipping update. +2025-10-31 16:23:26,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:26,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:26,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.73, max=13.91, mean=-0.1336, std=3.405, absmax=15.73 +2025-10-31 16:23:26,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.903, mean=-0.1359, std=2.803, absmax=10.49 +2025-10-31 16:23:26,664 ERROR: Encountered non-finite generator loss at iter 1777; skipping update. +2025-10-31 16:23:26,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:26,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:26,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:26,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:26,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=10.4, mean=-0.08089, std=2.492, absmax=10.81 +2025-10-31 16:23:26,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.55, max=9.373, mean=-0.07467, std=2.185, absmax=9.373 +2025-10-31 16:23:27,169 ERROR: Encountered non-finite generator loss at iter 1778; skipping update. +2025-10-31 16:23:27,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:27,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:27,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=18.06, mean=-0.2853, std=3.023, absmax=18.06 +2025-10-31 16:23:27,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.275, mean=-0.283, std=2.441, absmax=10.14 +2025-10-31 16:23:27,673 ERROR: Encountered non-finite generator loss at iter 1779; skipping update. +2025-10-31 16:23:27,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:27,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:27,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:27,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:27,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.97, mean=0.0241, std=3.057, absmax=12.97 +2025-10-31 16:23:27,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.71, mean=0.01454, std=2.73, absmax=10.71 +2025-10-31 16:23:28,176 ERROR: Encountered non-finite generator loss at iter 1780; skipping update. +2025-10-31 16:23:28,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:28,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:28,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.07, mean=0.01476, std=2.774, absmax=12.8 +2025-10-31 16:23:28,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.216, max=10.01, mean=-0.02699, std=2.366, absmax=10.01 +2025-10-31 16:23:28,678 ERROR: Encountered non-finite generator loss at iter 1781; skipping update. +2025-10-31 16:23:28,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:28,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:28,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:28,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:28,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.25, mean=-0.1111, std=2.595, absmax=13.25 +2025-10-31 16:23:28,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=7.568, mean=-0.1378, std=2.252, absmax=9.859 +2025-10-31 16:23:29,182 ERROR: Encountered non-finite generator loss at iter 1782; skipping update. +2025-10-31 16:23:29,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:29,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:29,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.83, mean=-0.3207, std=2.876, absmax=12.27 +2025-10-31 16:23:29,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.268, mean=-0.2913, std=2.502, absmax=11.12 +2025-10-31 16:23:29,687 ERROR: Encountered non-finite generator loss at iter 1783; skipping update. +2025-10-31 16:23:29,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:29,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:29,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:29,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:29,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=9.867, mean=-0.1769, std=2.496, absmax=11.9 +2025-10-31 16:23:29,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=7.465, mean=-0.2481, std=2.156, absmax=10.06 +2025-10-31 16:23:30,191 ERROR: Encountered non-finite generator loss at iter 1784; skipping update. +2025-10-31 16:23:30,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:30,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:30,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=14.4, mean=-0.1421, std=3.191, absmax=14.4 +2025-10-31 16:23:30,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=12.37, mean=-0.1977, std=2.844, absmax=12.37 +2025-10-31 16:23:30,693 ERROR: Encountered non-finite generator loss at iter 1785; skipping update. +2025-10-31 16:23:30,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:30,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:30,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:30,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:30,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.8, mean=-0.2584, std=3.12, absmax=12.36 +2025-10-31 16:23:30,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.539, mean=-0.2962, std=2.596, absmax=10.62 +2025-10-31 16:23:31,196 ERROR: Encountered non-finite generator loss at iter 1786; skipping update. +2025-10-31 16:23:31,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,199 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:31,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:31,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=11.61, mean=-0.3041, std=2.62, absmax=11.9 +2025-10-31 16:23:31,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.471, mean=-0.2628, std=2.31, absmax=10.72 +2025-10-31 16:23:31,698 ERROR: Encountered non-finite generator loss at iter 1787; skipping update. +2025-10-31 16:23:31,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:31,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:31,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:31,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:31,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.78, mean=-0.1485, std=3.171, absmax=13.18 +2025-10-31 16:23:31,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.12, mean=-0.1317, std=2.685, absmax=11.12 +2025-10-31 16:23:32,201 ERROR: Encountered non-finite generator loss at iter 1788; skipping update. +2025-10-31 16:23:32,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:32,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:32,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.52, max=16.01, mean=-0.2359, std=2.54, absmax=16.01 +2025-10-31 16:23:32,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=7.99, mean=-0.2175, std=2.073, absmax=10.03 +2025-10-31 16:23:32,706 ERROR: Encountered non-finite generator loss at iter 1789; skipping update. +2025-10-31 16:23:32,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:32,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:32,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:32,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:32,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.56, mean=-0.1414, std=2.941, absmax=13.09 +2025-10-31 16:23:32,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=9.923, mean=-0.1145, std=2.468, absmax=11.11 +2025-10-31 16:23:33,210 ERROR: Encountered non-finite generator loss at iter 1790; skipping update. +2025-10-31 16:23:33,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:33,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:33,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=13.51, mean=-0.1637, std=2.442, absmax=13.51 +2025-10-31 16:23:33,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=13.2, mean=-0.1969, std=2.27, absmax=13.2 +2025-10-31 16:23:33,713 ERROR: Encountered non-finite generator loss at iter 1791; skipping update. +2025-10-31 16:23:33,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:33,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:33,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:33,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:33,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.74, mean=-0.1239, std=2.932, absmax=14.74 +2025-10-31 16:23:33,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.64, max=11.03, mean=-0.113, std=2.421, absmax=11.03 +2025-10-31 16:23:34,215 ERROR: Encountered non-finite generator loss at iter 1792; skipping update. +2025-10-31 16:23:34,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:34,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:34,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.64, mean=-0.1793, std=3.265, absmax=14.64 +2025-10-31 16:23:34,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=9.034, mean=-0.2212, std=2.583, absmax=12.04 +2025-10-31 16:23:34,717 ERROR: Encountered non-finite generator loss at iter 1793; skipping update. +2025-10-31 16:23:34,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:34,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:34,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:34,724 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:34,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.87, mean=-0.3562, std=2.892, absmax=14.61 +2025-10-31 16:23:34,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.85, max=10.38, mean=-0.2961, std=2.546, absmax=12.85 +2025-10-31 16:23:35,218 ERROR: Encountered non-finite generator loss at iter 1794; skipping update. +2025-10-31 16:23:35,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:35,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:35,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=16.8, mean=0.0541, std=3, absmax=16.8 +2025-10-31 16:23:35,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.419, max=10.81, mean=0.04099, std=2.525, absmax=10.81 +2025-10-31 16:23:35,719 ERROR: Encountered non-finite generator loss at iter 1795; skipping update. +2025-10-31 16:23:35,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:35,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:35,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:35,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:35,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.81, mean=-0.3084, std=3.132, absmax=13.36 +2025-10-31 16:23:35,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=8.716, mean=-0.3528, std=2.606, absmax=11.67 +2025-10-31 16:23:36,221 ERROR: Encountered non-finite generator loss at iter 1796; skipping update. +2025-10-31 16:23:36,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:36,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:36,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.74, mean=-0.244, std=3.518, absmax=14.74 +2025-10-31 16:23:36,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=12.56, mean=-0.2108, std=2.964, absmax=12.56 +2025-10-31 16:23:36,724 ERROR: Encountered non-finite generator loss at iter 1797; skipping update. +2025-10-31 16:23:36,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:36,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:36,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:36,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:36,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=11.39, mean=-0.2118, std=2.751, absmax=11.83 +2025-10-31 16:23:36,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.072, mean=-0.1736, std=2.375, absmax=10.04 +2025-10-31 16:23:37,228 ERROR: Encountered non-finite generator loss at iter 1798; skipping update. +2025-10-31 16:23:37,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:37,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:37,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=11.81, mean=-0.1443, std=2.714, absmax=11.81 +2025-10-31 16:23:37,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.993, max=11.05, mean=-0.1616, std=2.315, absmax=11.05 +2025-10-31 16:23:37,732 ERROR: Encountered non-finite generator loss at iter 1799; skipping update. +2025-10-31 16:23:37,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,738 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:37,739 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:37,740 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:37,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:37,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.6, mean=-0.1168, std=2.506, absmax=12.36 +2025-10-31 16:23:37,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.87, max=9.141, mean=-0.1414, std=2.109, absmax=9.141 +2025-10-31 16:23:38,236 ERROR: Encountered non-finite generator loss at iter 1800; skipping update. +2025-10-31 16:23:38,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:38,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:38,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.87, mean=-0.1625, std=2.941, absmax=12.8 +2025-10-31 16:23:38,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.855, mean=-0.1336, std=2.593, absmax=10.47 +2025-10-31 16:23:38,246 INFO: [29..][epoch: 0, step: 1,800, lr:(1.500e-04,)] [eta: 1 day, 21:04:31, time (data): 0.503 (0.000)] +2025-10-31 16:23:38,738 ERROR: Encountered non-finite generator loss at iter 1801; skipping update. +2025-10-31 16:23:38,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,742 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:38,745 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:38,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:38,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:38,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.84, max=13.5, mean=-0.03713, std=3.291, absmax=15.84 +2025-10-31 16:23:38,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.14, mean=-0.1048, std=2.66, absmax=11.14 +2025-10-31 16:23:39,242 ERROR: Encountered non-finite generator loss at iter 1802; skipping update. +2025-10-31 16:23:39,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:39,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:39,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=13.78, mean=-0.04177, std=3.57, absmax=16.52 +2025-10-31 16:23:39,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=13.25, mean=-0.08577, std=2.929, absmax=13.25 +2025-10-31 16:23:39,745 ERROR: Encountered non-finite generator loss at iter 1803; skipping update. +2025-10-31 16:23:39,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:39,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:39,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:39,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:39,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.65, mean=-0.07322, std=3.298, absmax=14.65 +2025-10-31 16:23:39,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.795, max=13.05, mean=-0.06228, std=2.789, absmax=13.05 +2025-10-31 16:23:40,249 ERROR: Encountered non-finite generator loss at iter 1804; skipping update. +2025-10-31 16:23:40,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:40,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:40,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.19, mean=-0.3833, std=3.179, absmax=14.19 +2025-10-31 16:23:40,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=8.381, mean=-0.3846, std=2.636, absmax=11.75 +2025-10-31 16:23:40,750 ERROR: Encountered non-finite generator loss at iter 1805; skipping update. +2025-10-31 16:23:40,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:40,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:40,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:40,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:40,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.71, mean=-0.1729, std=3.557, absmax=14.71 +2025-10-31 16:23:40,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11, mean=-0.1741, std=2.781, absmax=11 +2025-10-31 16:23:41,250 ERROR: Encountered non-finite generator loss at iter 1806; skipping update. +2025-10-31 16:23:41,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,256 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:41,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:41,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.34, mean=-0.1665, std=2.665, absmax=12.34 +2025-10-31 16:23:41,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.919, max=12.62, mean=-0.1396, std=2.411, absmax=12.62 +2025-10-31 16:23:41,754 ERROR: Encountered non-finite generator loss at iter 1807; skipping update. +2025-10-31 16:23:41,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:41,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:41,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:41,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:41,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.34, mean=-0.1832, std=2.68, absmax=13.05 +2025-10-31 16:23:41,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.18, mean=-0.1867, std=2.283, absmax=10.18 +2025-10-31 16:23:42,258 ERROR: Encountered non-finite generator loss at iter 1808; skipping update. +2025-10-31 16:23:42,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:42,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:42,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.97, mean=-0.04459, std=3.401, absmax=13.97 +2025-10-31 16:23:42,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.755, mean=-0.07638, std=2.837, absmax=10.68 +2025-10-31 16:23:42,759 ERROR: Encountered non-finite generator loss at iter 1809; skipping update. +2025-10-31 16:23:42,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:42,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:42,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:42,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:42,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.51, mean=-0.2621, std=2.986, absmax=12.53 +2025-10-31 16:23:42,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.425, mean=-0.2586, std=2.473, absmax=10.26 +2025-10-31 16:23:43,262 ERROR: Encountered non-finite generator loss at iter 1810; skipping update. +2025-10-31 16:23:43,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:43,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:43,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=10.84, mean=-0.1766, std=2.403, absmax=12.65 +2025-10-31 16:23:43,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.33, mean=-0.1878, std=2.218, absmax=10.56 +2025-10-31 16:23:43,765 ERROR: Encountered non-finite generator loss at iter 1811; skipping update. +2025-10-31 16:23:43,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:43,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:43,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:43,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:43,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.19, mean=2.518e-06, std=3.134, absmax=13.44 +2025-10-31 16:23:43,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.98, mean=-0.03504, std=2.545, absmax=10.98 +2025-10-31 16:23:44,269 ERROR: Encountered non-finite generator loss at iter 1812; skipping update. +2025-10-31 16:23:44,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:44,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:44,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.56, mean=-0.07602, std=2.665, absmax=15 +2025-10-31 16:23:44,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.817, max=9.185, mean=-0.09691, std=2.198, absmax=9.185 +2025-10-31 16:23:44,770 ERROR: Encountered non-finite generator loss at iter 1813; skipping update. +2025-10-31 16:23:44,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:44,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:44,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:44,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:44,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=10.78, mean=-0.2085, std=2.516, absmax=11.77 +2025-10-31 16:23:44,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.891, max=8.255, mean=-0.2119, std=2.073, absmax=8.891 +2025-10-31 16:23:45,272 ERROR: Encountered non-finite generator loss at iter 1814; skipping update. +2025-10-31 16:23:45,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:45,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:45,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.29, mean=-0.2456, std=2.421, absmax=12.77 +2025-10-31 16:23:45,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.725, max=8.141, mean=-0.2694, std=2.078, absmax=9.725 +2025-10-31 16:23:45,775 ERROR: Encountered non-finite generator loss at iter 1815; skipping update. +2025-10-31 16:23:45,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:45,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:45,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:45,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:45,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=11.58, mean=-0.2868, std=3.282, absmax=14.68 +2025-10-31 16:23:45,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.17, max=10.98, mean=-0.2666, std=2.723, absmax=13.17 +2025-10-31 16:23:46,278 ERROR: Encountered non-finite generator loss at iter 1816; skipping update. +2025-10-31 16:23:46,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:46,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:46,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.88, mean=-0.164, std=2.563, absmax=11.94 +2025-10-31 16:23:46,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.823, mean=-0.1879, std=2.177, absmax=10.33 +2025-10-31 16:23:46,781 ERROR: Encountered non-finite generator loss at iter 1817; skipping update. +2025-10-31 16:23:46,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:46,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:46,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:46,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:46,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.34, mean=-0.1922, std=3.515, absmax=13.34 +2025-10-31 16:23:46,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=12.59, mean=-0.2006, std=2.99, absmax=12.59 +2025-10-31 16:23:47,285 ERROR: Encountered non-finite generator loss at iter 1818; skipping update. +2025-10-31 16:23:47,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:47,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:47,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.82, mean=-0.2106, std=3.051, absmax=12.44 +2025-10-31 16:23:47,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.377, max=9.235, mean=-0.2546, std=2.469, absmax=9.377 +2025-10-31 16:23:47,790 ERROR: Encountered non-finite generator loss at iter 1819; skipping update. +2025-10-31 16:23:47,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:47,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:47,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:47,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:47,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.77, mean=-0.05293, std=3.337, absmax=13.61 +2025-10-31 16:23:47,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.741, max=10.77, mean=-0.03931, std=2.786, absmax=10.77 +2025-10-31 16:23:48,292 ERROR: Encountered non-finite generator loss at iter 1820; skipping update. +2025-10-31 16:23:48,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:48,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:48,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.95, mean=-0.2407, std=2.943, absmax=12.95 +2025-10-31 16:23:48,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=9.501, mean=-0.2159, std=2.318, absmax=9.501 +2025-10-31 16:23:48,798 ERROR: Encountered non-finite generator loss at iter 1821; skipping update. +2025-10-31 16:23:48,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:48,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:48,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:48,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:48,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.81, mean=-0.1969, std=2.612, absmax=12.81 +2025-10-31 16:23:48,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=8.877, mean=-0.2184, std=2.102, absmax=10.11 +2025-10-31 16:23:49,301 ERROR: Encountered non-finite generator loss at iter 1822; skipping update. +2025-10-31 16:23:49,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:49,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:49,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.5, mean=-0.07361, std=2.695, absmax=11.3 +2025-10-31 16:23:49,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.296, max=9.106, mean=-0.09554, std=2.292, absmax=9.296 +2025-10-31 16:23:49,805 ERROR: Encountered non-finite generator loss at iter 1823; skipping update. +2025-10-31 16:23:49,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:49,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:49,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:49,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:49,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.38, mean=-0.02152, std=3.121, absmax=13.38 +2025-10-31 16:23:49,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.989, max=9.726, mean=-0.04467, std=2.553, absmax=9.726 +2025-10-31 16:23:50,306 ERROR: Encountered non-finite generator loss at iter 1824; skipping update. +2025-10-31 16:23:50,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:50,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:50,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.69, mean=-0.1325, std=3.333, absmax=13.69 +2025-10-31 16:23:50,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=11.5, mean=-0.1305, std=2.822, absmax=11.5 +2025-10-31 16:23:50,809 ERROR: Encountered non-finite generator loss at iter 1825; skipping update. +2025-10-31 16:23:50,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:50,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:50,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:50,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:50,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.5, mean=0.01935, std=3.362, absmax=14.5 +2025-10-31 16:23:50,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.846, max=12.24, mean=-0.02006, std=2.819, absmax=12.24 +2025-10-31 16:23:51,313 ERROR: Encountered non-finite generator loss at iter 1826; skipping update. +2025-10-31 16:23:51,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:51,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:51,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.59, mean=-0.2155, std=2.792, absmax=13.63 +2025-10-31 16:23:51,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.54, max=7.664, mean=-0.2443, std=2.196, absmax=9.54 +2025-10-31 16:23:51,823 ERROR: Encountered non-finite generator loss at iter 1827; skipping update. +2025-10-31 16:23:51,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:51,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:51,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:51,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:51,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=17.01, mean=-0.03516, std=2.924, absmax=17.01 +2025-10-31 16:23:51,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.263, max=11.78, mean=-0.124, std=2.367, absmax=11.78 +2025-10-31 16:23:52,330 ERROR: Encountered non-finite generator loss at iter 1828; skipping update. +2025-10-31 16:23:52,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:52,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:52,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=12.15, mean=-0.2137, std=3.211, absmax=14.1 +2025-10-31 16:23:52,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.48, max=9.477, mean=-0.2359, std=2.743, absmax=12.48 +2025-10-31 16:23:52,834 ERROR: Encountered non-finite generator loss at iter 1829; skipping update. +2025-10-31 16:23:52,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:52,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:52,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:52,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:52,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.36, mean=-0.1285, std=2.655, absmax=12.36 +2025-10-31 16:23:52,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.172, max=8.602, mean=-0.1303, std=2.219, absmax=8.602 +2025-10-31 16:23:53,339 ERROR: Encountered non-finite generator loss at iter 1830; skipping update. +2025-10-31 16:23:53,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:53,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:53,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.18, mean=-0.2043, std=2.958, absmax=14.18 +2025-10-31 16:23:53,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.043, max=8.935, mean=-0.1661, std=2.401, absmax=9.043 +2025-10-31 16:23:53,841 ERROR: Encountered non-finite generator loss at iter 1831; skipping update. +2025-10-31 16:23:53,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:53,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:53,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:53,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:53,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.45, mean=0.00397, std=3.326, absmax=15.45 +2025-10-31 16:23:53,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=13.7, mean=0.02041, std=2.878, absmax=13.7 +2025-10-31 16:23:54,345 ERROR: Encountered non-finite generator loss at iter 1832; skipping update. +2025-10-31 16:23:54,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:54,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:54,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.42, mean=-0.03669, std=3.509, absmax=13.42 +2025-10-31 16:23:54,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=12.35, mean=-0.03747, std=3.022, absmax=12.35 +2025-10-31 16:23:54,848 ERROR: Encountered non-finite generator loss at iter 1833; skipping update. +2025-10-31 16:23:54,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:54,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:54,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:54,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:54,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14.52, mean=-0.08975, std=2.894, absmax=14.52 +2025-10-31 16:23:54,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.886, max=9.707, mean=-0.08024, std=2.319, absmax=9.707 +2025-10-31 16:23:55,351 ERROR: Encountered non-finite generator loss at iter 1834; skipping update. +2025-10-31 16:23:55,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:55,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:55,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.17, mean=-0.2749, std=3.021, absmax=14.17 +2025-10-31 16:23:55,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.916, max=10.42, mean=-0.2544, std=2.544, absmax=10.42 +2025-10-31 16:23:55,853 ERROR: Encountered non-finite generator loss at iter 1835; skipping update. +2025-10-31 16:23:55,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:55,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:55,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:55,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:55,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=11.59, mean=-0.01367, std=2.764, absmax=11.59 +2025-10-31 16:23:55,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=10.09, mean=-0.06812, std=2.29, absmax=10.09 +2025-10-31 16:23:56,355 ERROR: Encountered non-finite generator loss at iter 1836; skipping update. +2025-10-31 16:23:56,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:56,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:56,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.64, mean=0.06981, std=3.333, absmax=13.64 +2025-10-31 16:23:56,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=11.42, mean=0.04379, std=2.824, absmax=11.47 +2025-10-31 16:23:56,857 ERROR: Encountered non-finite generator loss at iter 1837; skipping update. +2025-10-31 16:23:56,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:56,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:56,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:56,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:56,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.71, mean=-0.2509, std=2.834, absmax=14.71 +2025-10-31 16:23:56,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.315, max=9.456, mean=-0.2707, std=2.277, absmax=9.456 +2025-10-31 16:23:57,360 ERROR: Encountered non-finite generator loss at iter 1838; skipping update. +2025-10-31 16:23:57,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:57,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:57,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=11.17, mean=-0.1135, std=2.874, absmax=14.17 +2025-10-31 16:23:57,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.295, mean=-0.1256, std=2.356, absmax=10.06 +2025-10-31 16:23:57,861 ERROR: Encountered non-finite generator loss at iter 1839; skipping update. +2025-10-31 16:23:57,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,863 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,864 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:57,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:57,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:57,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:57,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.03, mean=-0.1615, std=3.223, absmax=13.03 +2025-10-31 16:23:57,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.56, mean=-0.1537, std=2.545, absmax=10.56 +2025-10-31 16:23:58,362 ERROR: Encountered non-finite generator loss at iter 1840; skipping update. +2025-10-31 16:23:58,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,365 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,366 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:58,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:58,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=19.54, mean=-0.1516, std=3.153, absmax=19.54 +2025-10-31 16:23:58,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=15.33, mean=-0.1602, std=2.558, absmax=15.33 +2025-10-31 16:23:58,864 ERROR: Encountered non-finite generator loss at iter 1841; skipping update. +2025-10-31 16:23:58,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:58,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:58,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:58,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:58,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14.72, mean=-0.04178, std=3.461, absmax=14.72 +2025-10-31 16:23:58,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=12.44, mean=-0.07754, std=2.965, absmax=12.44 +2025-10-31 16:23:59,365 ERROR: Encountered non-finite generator loss at iter 1842; skipping update. +2025-10-31 16:23:59,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:59,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:59,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=16.69, mean=-0.07256, std=3.47, absmax=16.69 +2025-10-31 16:23:59,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=12.57, mean=-0.06506, std=3.034, absmax=12.57 +2025-10-31 16:23:59,868 ERROR: Encountered non-finite generator loss at iter 1843; skipping update. +2025-10-31 16:23:59,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:23:59,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:23:59,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:23:59,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:23:59,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=10.8, mean=-0.2944, std=2.943, absmax=12.64 +2025-10-31 16:23:59,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.634, mean=-0.3129, std=2.494, absmax=10.73 +2025-10-31 16:24:00,369 ERROR: Encountered non-finite generator loss at iter 1844; skipping update. +2025-10-31 16:24:00,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:00,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:00,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.18, mean=-0.2634, std=2.674, absmax=12.17 +2025-10-31 16:24:00,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=8.875, mean=-0.1931, std=2.373, absmax=10.12 +2025-10-31 16:24:00,873 ERROR: Encountered non-finite generator loss at iter 1845; skipping update. +2025-10-31 16:24:00,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:00,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:00,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:00,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:00,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.42, mean=-0.19, std=3.054, absmax=12.87 +2025-10-31 16:24:00,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=9.238, mean=-0.1835, std=2.511, absmax=11.02 +2025-10-31 16:24:01,374 ERROR: Encountered non-finite generator loss at iter 1846; skipping update. +2025-10-31 16:24:01,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:01,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:01,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.68, mean=-0.1032, std=3.141, absmax=13.68 +2025-10-31 16:24:01,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.76, max=12.38, mean=-0.06587, std=2.594, absmax=12.38 +2025-10-31 16:24:01,875 ERROR: Encountered non-finite generator loss at iter 1847; skipping update. +2025-10-31 16:24:01,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:01,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:01,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:01,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:01,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=15.14, mean=-0.1808, std=3.26, absmax=15.14 +2025-10-31 16:24:01,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.61, mean=-0.21, std=2.633, absmax=10.61 +2025-10-31 16:24:02,376 ERROR: Encountered non-finite generator loss at iter 1848; skipping update. +2025-10-31 16:24:02,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:02,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:02,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=12.69, mean=-0.1013, std=2.514, absmax=12.69 +2025-10-31 16:24:02,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.642, max=8.893, mean=-0.135, std=2.117, absmax=9.642 +2025-10-31 16:24:02,878 ERROR: Encountered non-finite generator loss at iter 1849; skipping update. +2025-10-31 16:24:02,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:02,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:02,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:02,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:02,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.1, mean=-0.2649, std=3.772, absmax=13.76 +2025-10-31 16:24:02,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=9.516, mean=-0.2426, std=3.257, absmax=12.12 +2025-10-31 16:24:03,379 ERROR: Encountered non-finite generator loss at iter 1850; skipping update. +2025-10-31 16:24:03,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:03,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:03,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.37, mean=-0.1937, std=3.106, absmax=13.14 +2025-10-31 16:24:03,389 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=8.529, mean=-0.1909, std=2.672, absmax=10.85 +2025-10-31 16:24:03,881 ERROR: Encountered non-finite generator loss at iter 1851; skipping update. +2025-10-31 16:24:03,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:03,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:03,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:03,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:03,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.78, mean=-0.1384, std=3.349, absmax=14.78 +2025-10-31 16:24:03,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=12.47, mean=-0.2257, std=2.844, absmax=12.47 +2025-10-31 16:24:04,383 ERROR: Encountered non-finite generator loss at iter 1852; skipping update. +2025-10-31 16:24:04,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,386 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:04,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:04,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=14.06, mean=-0.2478, std=2.501, absmax=14.06 +2025-10-31 16:24:04,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.725, max=9.478, mean=-0.2357, std=2.107, absmax=9.478 +2025-10-31 16:24:04,887 ERROR: Encountered non-finite generator loss at iter 1853; skipping update. +2025-10-31 16:24:04,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,890 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:04,893 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:04,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:04,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:04,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=14.35, mean=-0.1781, std=3.415, absmax=14.92 +2025-10-31 16:24:04,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=11.25, mean=-0.228, std=2.732, absmax=11.25 +2025-10-31 16:24:05,390 ERROR: Encountered non-finite generator loss at iter 1854; skipping update. +2025-10-31 16:24:05,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,393 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,393 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:05,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:05,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.47, mean=-0.1107, std=3.557, absmax=14.47 +2025-10-31 16:24:05,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.944, max=11.77, mean=-0.1127, std=2.965, absmax=11.77 +2025-10-31 16:24:05,892 ERROR: Encountered non-finite generator loss at iter 1855; skipping update. +2025-10-31 16:24:05,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,897 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:05,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:05,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:05,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:05,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.77, mean=-0.01795, std=2.981, absmax=12.77 +2025-10-31 16:24:05,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.429, max=11.26, mean=0.006104, std=2.826, absmax=11.26 +2025-10-31 16:24:06,394 ERROR: Encountered non-finite generator loss at iter 1856; skipping update. +2025-10-31 16:24:06,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:06,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:06,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.23, mean=-0.1096, std=2.803, absmax=15.23 +2025-10-31 16:24:06,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=13.27, mean=-0.1058, std=2.324, absmax=13.27 +2025-10-31 16:24:06,899 ERROR: Encountered non-finite generator loss at iter 1857; skipping update. +2025-10-31 16:24:06,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:06,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:06,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:06,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:06,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.7, mean=0.07558, std=3.378, absmax=12.48 +2025-10-31 16:24:06,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.4, mean=0.05604, std=2.974, absmax=10.91 +2025-10-31 16:24:07,403 ERROR: Encountered non-finite generator loss at iter 1858; skipping update. +2025-10-31 16:24:07,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:07,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:07,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.51, mean=-0.05099, std=3.067, absmax=14.51 +2025-10-31 16:24:07,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.97, mean=-0.06015, std=2.573, absmax=10.97 +2025-10-31 16:24:07,906 ERROR: Encountered non-finite generator loss at iter 1859; skipping update. +2025-10-31 16:24:07,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:07,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:07,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:07,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:07,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=13.62, mean=-0.1509, std=3.528, absmax=15.26 +2025-10-31 16:24:07,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=10.32, mean=-0.1826, std=3.112, absmax=12.46 +2025-10-31 16:24:08,410 ERROR: Encountered non-finite generator loss at iter 1860; skipping update. +2025-10-31 16:24:08,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:08,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:08,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.43, mean=-0.08838, std=3.09, absmax=13.8 +2025-10-31 16:24:08,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=11.26, mean=-0.08847, std=2.656, absmax=11.26 +2025-10-31 16:24:08,913 ERROR: Encountered non-finite generator loss at iter 1861; skipping update. +2025-10-31 16:24:08,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,916 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:08,919 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:08,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:08,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:08,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.33, mean=-0.1231, std=3.014, absmax=14.33 +2025-10-31 16:24:08,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=8.879, mean=-0.1277, std=2.52, absmax=10.7 +2025-10-31 16:24:09,416 ERROR: Encountered non-finite generator loss at iter 1862; skipping update. +2025-10-31 16:24:09,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:09,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:09,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.46, mean=-0.1486, std=3.706, absmax=14.46 +2025-10-31 16:24:09,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=12.23, mean=-0.1768, std=3.165, absmax=12.78 +2025-10-31 16:24:09,918 ERROR: Encountered non-finite generator loss at iter 1863; skipping update. +2025-10-31 16:24:09,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:09,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:09,925 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:09,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:09,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=14.56, mean=0.05868, std=3.036, absmax=14.56 +2025-10-31 16:24:09,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=10.66, mean=0.005046, std=2.494, absmax=10.66 +2025-10-31 16:24:10,419 ERROR: Encountered non-finite generator loss at iter 1864; skipping update. +2025-10-31 16:24:10,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:10,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:10,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=13.54, mean=-0.3534, std=3.212, absmax=15.22 +2025-10-31 16:24:10,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.769, mean=-0.3471, std=2.626, absmax=10.51 +2025-10-31 16:24:10,923 ERROR: Encountered non-finite generator loss at iter 1865; skipping update. +2025-10-31 16:24:10,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:10,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:10,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:10,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:10,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.43, mean=-0.3164, std=2.862, absmax=13.43 +2025-10-31 16:24:10,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.568, max=8.459, mean=-0.2953, std=2.282, absmax=9.568 +2025-10-31 16:24:11,426 ERROR: Encountered non-finite generator loss at iter 1866; skipping update. +2025-10-31 16:24:11,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,430 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:11,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:11,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.48, mean=-0.2098, std=2.815, absmax=14.08 +2025-10-31 16:24:11,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.49, mean=-0.1415, std=2.281, absmax=10.63 +2025-10-31 16:24:11,928 ERROR: Encountered non-finite generator loss at iter 1867; skipping update. +2025-10-31 16:24:11,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:11,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:11,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:11,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:11,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.14, mean=-0.3149, std=2.617, absmax=11.8 +2025-10-31 16:24:11,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.573, mean=-0.2985, std=2.399, absmax=10.1 +2025-10-31 16:24:12,431 ERROR: Encountered non-finite generator loss at iter 1868; skipping update. +2025-10-31 16:24:12,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,437 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:12,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:12,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.2, mean=-0.222, std=3.265, absmax=14.11 +2025-10-31 16:24:12,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=10.83, mean=-0.2134, std=2.83, absmax=12.24 +2025-10-31 16:24:12,933 ERROR: Encountered non-finite generator loss at iter 1869; skipping update. +2025-10-31 16:24:12,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:12,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:12,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:12,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:12,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.39, mean=-0.3312, std=2.831, absmax=12.44 +2025-10-31 16:24:12,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.643, max=7.764, mean=-0.312, std=2.533, absmax=9.643 +2025-10-31 16:24:13,434 ERROR: Encountered non-finite generator loss at iter 1870; skipping update. +2025-10-31 16:24:13,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:13,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:13,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.45, mean=-0.3551, std=2.618, absmax=12.45 +2025-10-31 16:24:13,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.001, mean=-0.3277, std=2.326, absmax=10.03 +2025-10-31 16:24:13,937 ERROR: Encountered non-finite generator loss at iter 1871; skipping update. +2025-10-31 16:24:13,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:13,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:13,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:13,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:13,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.33, mean=-0.2331, std=2.956, absmax=14.33 +2025-10-31 16:24:13,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=11.34, mean=-0.2387, std=2.83, absmax=11.49 +2025-10-31 16:24:14,437 ERROR: Encountered non-finite generator loss at iter 1872; skipping update. +2025-10-31 16:24:14,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:14,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:14,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.28, mean=-0.2581, std=2.953, absmax=11.62 +2025-10-31 16:24:14,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.215, max=7.993, mean=-0.2817, std=2.399, absmax=9.215 +2025-10-31 16:24:14,940 ERROR: Encountered non-finite generator loss at iter 1873; skipping update. +2025-10-31 16:24:14,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:14,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:14,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:14,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:14,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=14.96, mean=-0.1086, std=3.739, absmax=14.96 +2025-10-31 16:24:14,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=12.49, mean=-0.09726, std=3.215, absmax=12.49 +2025-10-31 16:24:15,441 ERROR: Encountered non-finite generator loss at iter 1874; skipping update. +2025-10-31 16:24:15,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,443 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,444 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,445 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,446 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:15,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:15,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.94, mean=-0.227, std=2.632, absmax=11.94 +2025-10-31 16:24:15,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.211, max=7.489, mean=-0.1592, std=2.281, absmax=9.211 +2025-10-31 16:24:15,942 ERROR: Encountered non-finite generator loss at iter 1875; skipping update. +2025-10-31 16:24:15,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:15,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:15,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:15,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:15,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=12.71, mean=-0.1562, std=3.708, absmax=14.85 +2025-10-31 16:24:15,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.34, max=9.648, mean=-0.1885, std=3.179, absmax=12.34 +2025-10-31 16:24:16,443 ERROR: Encountered non-finite generator loss at iter 1876; skipping update. +2025-10-31 16:24:16,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:16,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:16,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.69, mean=-0.08766, std=3.272, absmax=13.02 +2025-10-31 16:24:16,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.81, mean=-0.05819, std=2.822, absmax=11.81 +2025-10-31 16:24:16,943 ERROR: Encountered non-finite generator loss at iter 1877; skipping update. +2025-10-31 16:24:16,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:16,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:16,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:16,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:16,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=15, mean=-0.2189, std=3.218, absmax=15 +2025-10-31 16:24:16,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=12.04, mean=-0.2839, std=2.695, absmax=12.04 +2025-10-31 16:24:17,443 ERROR: Encountered non-finite generator loss at iter 1878; skipping update. +2025-10-31 16:24:17,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:17,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:17,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=15.74, mean=-0.1791, std=2.878, absmax=15.74 +2025-10-31 16:24:17,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=11.47, mean=-0.1525, std=2.472, absmax=11.47 +2025-10-31 16:24:17,945 ERROR: Encountered non-finite generator loss at iter 1879; skipping update. +2025-10-31 16:24:17,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:17,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:17,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:17,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:17,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=17.43, mean=-0.1077, std=3.139, absmax=17.43 +2025-10-31 16:24:17,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=14.66, mean=-0.06593, std=2.707, absmax=14.66 +2025-10-31 16:24:18,447 ERROR: Encountered non-finite generator loss at iter 1880; skipping update. +2025-10-31 16:24:18,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:18,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:18,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=17.73, mean=-0.2742, std=3.178, absmax=17.73 +2025-10-31 16:24:18,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=11.44, mean=-0.2849, std=2.673, absmax=11.44 +2025-10-31 16:24:18,945 ERROR: Encountered non-finite generator loss at iter 1881; skipping update. +2025-10-31 16:24:18,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:18,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:18,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:18,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:18,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.33, mean=-0.246, std=2.617, absmax=12.57 +2025-10-31 16:24:18,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.22, mean=-0.2414, std=2.442, absmax=10.75 +2025-10-31 16:24:19,444 ERROR: Encountered non-finite generator loss at iter 1882; skipping update. +2025-10-31 16:24:19,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:19,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:19,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.39, mean=-0.2328, std=2.673, absmax=11.94 +2025-10-31 16:24:19,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=8.95, mean=-0.209, std=2.383, absmax=9.646 +2025-10-31 16:24:19,948 ERROR: Encountered non-finite generator loss at iter 1883; skipping update. +2025-10-31 16:24:19,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:19,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:19,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:19,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:19,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.84, mean=-0.1978, std=3.002, absmax=11.96 +2025-10-31 16:24:19,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.877, max=9.183, mean=-0.1662, std=2.388, absmax=9.877 +2025-10-31 16:24:20,449 ERROR: Encountered non-finite generator loss at iter 1884; skipping update. +2025-10-31 16:24:20,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:20,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:20,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=13.01, mean=-0.1008, std=3.2, absmax=15.4 +2025-10-31 16:24:20,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.62, mean=-0.1165, std=2.556, absmax=10.62 +2025-10-31 16:24:20,966 ERROR: Encountered non-finite generator loss at iter 1885; skipping update. +2025-10-31 16:24:20,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:20,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:20,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:20,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:20,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.27, mean=-0.04285, std=3.177, absmax=13.27 +2025-10-31 16:24:20,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.73, max=11.68, mean=-0.041, std=2.584, absmax=11.68 +2025-10-31 16:24:21,468 ERROR: Encountered non-finite generator loss at iter 1886; skipping update. +2025-10-31 16:24:21,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:21,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:21,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.11, mean=-0.1969, std=3.206, absmax=13.39 +2025-10-31 16:24:21,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.08, mean=-0.1933, std=2.559, absmax=11.08 +2025-10-31 16:24:21,970 ERROR: Encountered non-finite generator loss at iter 1887; skipping update. +2025-10-31 16:24:21,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:21,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:21,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:21,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:21,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=11.53, mean=-0.1405, std=2.677, absmax=13.55 +2025-10-31 16:24:21,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.742, mean=-0.1178, std=2.351, absmax=10.05 +2025-10-31 16:24:22,471 ERROR: Encountered non-finite generator loss at iter 1888; skipping update. +2025-10-31 16:24:22,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:22,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:22,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.82, mean=-0.08876, std=2.654, absmax=11.82 +2025-10-31 16:24:22,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.436, max=8.295, mean=-0.0717, std=2.22, absmax=9.436 +2025-10-31 16:24:22,975 ERROR: Encountered non-finite generator loss at iter 1889; skipping update. +2025-10-31 16:24:22,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:22,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:22,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:22,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:22,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=16.47, mean=-0.175, std=3.099, absmax=16.47 +2025-10-31 16:24:22,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=13.42, mean=-0.1363, std=2.696, absmax=13.42 +2025-10-31 16:24:23,477 ERROR: Encountered non-finite generator loss at iter 1890; skipping update. +2025-10-31 16:24:23,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:23,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:23,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.09, mean=0.01751, std=3.262, absmax=13.62 +2025-10-31 16:24:23,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=11.84, mean=0.04618, std=2.955, absmax=11.84 +2025-10-31 16:24:23,979 ERROR: Encountered non-finite generator loss at iter 1891; skipping update. +2025-10-31 16:24:23,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:23,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:23,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:23,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:23,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.61, mean=-0.2792, std=3.076, absmax=13.01 +2025-10-31 16:24:23,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=7.654, mean=-0.2753, std=2.495, absmax=11.69 +2025-10-31 16:24:24,479 ERROR: Encountered non-finite generator loss at iter 1892; skipping update. +2025-10-31 16:24:24,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,481 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:24,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:24,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.1, mean=-0.3164, std=2.786, absmax=12.7 +2025-10-31 16:24:24,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.816, max=8.669, mean=-0.3241, std=2.294, absmax=9.816 +2025-10-31 16:24:24,981 ERROR: Encountered non-finite generator loss at iter 1893; skipping update. +2025-10-31 16:24:24,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:24,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:24,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:24,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:24,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.41, mean=-0.1815, std=2.753, absmax=13.41 +2025-10-31 16:24:24,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=9.714, mean=-0.1827, std=2.414, absmax=11.98 +2025-10-31 16:24:25,482 ERROR: Encountered non-finite generator loss at iter 1894; skipping update. +2025-10-31 16:24:25,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:25,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:25,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.92, mean=-0.03481, std=3.269, absmax=13.92 +2025-10-31 16:24:25,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=11.01, mean=-0.07319, std=2.676, absmax=11.87 +2025-10-31 16:24:25,986 ERROR: Encountered non-finite generator loss at iter 1895; skipping update. +2025-10-31 16:24:25,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:25,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:25,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:25,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:25,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=14.28, mean=-0.273, std=3.527, absmax=14.28 +2025-10-31 16:24:25,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=12.71, mean=-0.2113, std=3.052, absmax=12.71 +2025-10-31 16:24:26,488 ERROR: Encountered non-finite generator loss at iter 1896; skipping update. +2025-10-31 16:24:26,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:26,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:26,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.95, mean=-0.1203, std=3.167, absmax=13.95 +2025-10-31 16:24:26,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.1, mean=-0.05967, std=2.645, absmax=11.1 +2025-10-31 16:24:26,991 ERROR: Encountered non-finite generator loss at iter 1897; skipping update. +2025-10-31 16:24:26,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:26,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:26,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:26,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:27,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.74, mean=-0.2188, std=2.87, absmax=13.74 +2025-10-31 16:24:27,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.97, mean=-0.2628, std=2.514, absmax=10.97 +2025-10-31 16:24:27,493 ERROR: Encountered non-finite generator loss at iter 1898; skipping update. +2025-10-31 16:24:27,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:27,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:27,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:27,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:27,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:27,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:27,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:27,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:27,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.69, mean=0.08073, std=2.693, absmax=12.69 +2025-10-31 16:24:27,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.166, max=9.173, mean=0.01186, std=2.185, absmax=9.173 +2025-10-31 16:24:27,994 ERROR: Encountered non-finite generator loss at iter 1899; skipping update. +2025-10-31 16:24:27,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:27,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:27,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:27,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:27,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:28,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:28,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:28,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:28,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.45, mean=-0.2227, std=2.441, absmax=13.45 +2025-10-31 16:24:28,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=8.848, mean=-0.2168, std=2.057, absmax=10.78 +2025-10-31 16:24:28,496 ERROR: Encountered non-finite generator loss at iter 1900; skipping update. +2025-10-31 16:24:28,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:28,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:28,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:28,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:28,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:28,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:28,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:28,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:28,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=10.8, mean=-0.2153, std=3.113, absmax=13.5 +2025-10-31 16:24:28,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.868, mean=-0.1911, std=2.583, absmax=11.3 +2025-10-31 16:24:28,506 INFO: [29..][epoch: 0, step: 1,900, lr:(1.500e-04,)] [eta: 1 day, 20:30:32, time (data): 0.503 (0.000)] +2025-10-31 16:24:28,997 ERROR: Encountered non-finite generator loss at iter 1901; skipping update. +2025-10-31 16:24:28,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:29,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:29,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.96, mean=-0.1357, std=3.357, absmax=14.96 +2025-10-31 16:24:29,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=11.15, mean=-0.1887, std=2.695, absmax=11.15 +2025-10-31 16:24:29,501 ERROR: Encountered non-finite generator loss at iter 1902; skipping update. +2025-10-31 16:24:29,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:29,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:29,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:29,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:29,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.09, mean=-0.1111, std=2.738, absmax=13.09 +2025-10-31 16:24:29,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.175, max=10.18, mean=-0.1243, std=2.345, absmax=10.18 +2025-10-31 16:24:29,997 ERROR: Encountered non-finite generator loss at iter 1903; skipping update. +2025-10-31 16:24:29,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:30,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:30,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.83, mean=-0.01174, std=2.638, absmax=12.83 +2025-10-31 16:24:30,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.672, mean=-0.04017, std=2.257, absmax=10.01 +2025-10-31 16:24:30,500 ERROR: Encountered non-finite generator loss at iter 1904; skipping update. +2025-10-31 16:24:30,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:30,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:30,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:30,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:30,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.91, mean=-0.267, std=2.764, absmax=13.91 +2025-10-31 16:24:30,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.125, max=10.32, mean=-0.2492, std=2.23, absmax=10.32 +2025-10-31 16:24:31,003 ERROR: Encountered non-finite generator loss at iter 1905; skipping update. +2025-10-31 16:24:31,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:31,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:31,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=16.94, mean=-0.1834, std=2.738, absmax=16.94 +2025-10-31 16:24:31,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.934, max=8.97, mean=-0.1857, std=2.228, absmax=9.934 +2025-10-31 16:24:31,506 ERROR: Encountered non-finite generator loss at iter 1906; skipping update. +2025-10-31 16:24:31,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:31,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:31,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:31,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:31,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.84, mean=0.09261, std=3.818, absmax=14.84 +2025-10-31 16:24:31,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.08, mean=0.07177, std=3.102, absmax=11.08 +2025-10-31 16:24:32,008 ERROR: Encountered non-finite generator loss at iter 1907; skipping update. +2025-10-31 16:24:32,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:32,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:32,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=11.99, mean=-0.2346, std=3.201, absmax=14.34 +2025-10-31 16:24:32,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=9.632, mean=-0.2109, std=2.681, absmax=12.24 +2025-10-31 16:24:32,511 ERROR: Encountered non-finite generator loss at iter 1908; skipping update. +2025-10-31 16:24:32,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:32,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:32,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:32,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:32,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=11.46, mean=-0.2768, std=2.485, absmax=11.83 +2025-10-31 16:24:32,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=7.161, mean=-0.2183, std=2.172, absmax=10.1 +2025-10-31 16:24:33,013 ERROR: Encountered non-finite generator loss at iter 1909; skipping update. +2025-10-31 16:24:33,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:33,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:33,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.16, mean=0.008295, std=3.072, absmax=14.16 +2025-10-31 16:24:33,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.26, mean=-0.02773, std=2.544, absmax=11.26 +2025-10-31 16:24:33,516 ERROR: Encountered non-finite generator loss at iter 1910; skipping update. +2025-10-31 16:24:33,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:33,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:33,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:33,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:33,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.57, mean=-0.2132, std=3.555, absmax=13.57 +2025-10-31 16:24:33,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=11.28, mean=-0.1796, std=2.926, absmax=11.28 +2025-10-31 16:24:34,017 ERROR: Encountered non-finite generator loss at iter 1911; skipping update. +2025-10-31 16:24:34,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:34,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:34,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.54, mean=-0.1457, std=3.082, absmax=13.54 +2025-10-31 16:24:34,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.809, mean=-0.1201, std=2.612, absmax=10.01 +2025-10-31 16:24:34,519 ERROR: Encountered non-finite generator loss at iter 1912; skipping update. +2025-10-31 16:24:34,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:34,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:34,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:34,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:34,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.92, mean=-0.04058, std=2.626, absmax=13.1 +2025-10-31 16:24:34,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.715, max=9.485, mean=-0.0729, std=2.255, absmax=9.485 +2025-10-31 16:24:35,022 ERROR: Encountered non-finite generator loss at iter 1913; skipping update. +2025-10-31 16:24:35,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:35,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:35,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.83, max=12.36, mean=-0.2798, std=2.67, absmax=15.83 +2025-10-31 16:24:35,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=7.975, mean=-0.2848, std=2.384, absmax=12.32 +2025-10-31 16:24:35,532 ERROR: Encountered non-finite generator loss at iter 1914; skipping update. +2025-10-31 16:24:35,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,537 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:35,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:35,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:35,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:35,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.38, mean=-0.1922, std=2.732, absmax=12.38 +2025-10-31 16:24:35,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.261, max=10.82, mean=-0.1779, std=2.202, absmax=10.82 +2025-10-31 16:24:36,036 ERROR: Encountered non-finite generator loss at iter 1915; skipping update. +2025-10-31 16:24:36,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:36,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:36,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.58, mean=-0.1359, std=2.9, absmax=14.58 +2025-10-31 16:24:36,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.43, mean=-0.1697, std=2.241, absmax=10.43 +2025-10-31 16:24:36,540 ERROR: Encountered non-finite generator loss at iter 1916; skipping update. +2025-10-31 16:24:36,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:36,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:36,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:36,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:36,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.45, mean=0.05623, std=3.582, absmax=14.45 +2025-10-31 16:24:36,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=12.19, mean=0.02829, std=3.103, absmax=12.19 +2025-10-31 16:24:37,043 ERROR: Encountered non-finite generator loss at iter 1917; skipping update. +2025-10-31 16:24:37,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:37,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:37,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=15.37, mean=-0.2606, std=3.742, absmax=15.37 +2025-10-31 16:24:37,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=13.07, mean=-0.2145, std=3.112, absmax=13.07 +2025-10-31 16:24:37,546 ERROR: Encountered non-finite generator loss at iter 1918; skipping update. +2025-10-31 16:24:37,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:37,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:37,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:37,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:37,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.88, mean=0.06912, std=3.492, absmax=14.05 +2025-10-31 16:24:37,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=12.63, mean=0.08609, std=2.931, absmax=12.63 +2025-10-31 16:24:38,049 ERROR: Encountered non-finite generator loss at iter 1919; skipping update. +2025-10-31 16:24:38,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:38,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:38,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=13.72, mean=-0.3747, std=3.368, absmax=14.91 +2025-10-31 16:24:38,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.55, mean=-0.3112, std=2.806, absmax=11.55 +2025-10-31 16:24:38,553 ERROR: Encountered non-finite generator loss at iter 1920; skipping update. +2025-10-31 16:24:38,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:38,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:38,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:38,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:38,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.94, mean=-0.1576, std=2.964, absmax=12.96 +2025-10-31 16:24:38,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.12, mean=-0.1694, std=2.383, absmax=10.77 +2025-10-31 16:24:39,055 ERROR: Encountered non-finite generator loss at iter 1921; skipping update. +2025-10-31 16:24:39,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:39,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:39,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=13.03, mean=-0.1973, std=2.801, absmax=13.03 +2025-10-31 16:24:39,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.84, max=9.771, mean=-0.1915, std=2.342, absmax=9.771 +2025-10-31 16:24:39,561 ERROR: Encountered non-finite generator loss at iter 1922; skipping update. +2025-10-31 16:24:39,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:39,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:39,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:39,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:39,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.28, mean=-0.1727, std=2.653, absmax=13.11 +2025-10-31 16:24:39,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.517, mean=-0.1654, std=2.151, absmax=10.69 +2025-10-31 16:24:40,069 ERROR: Encountered non-finite generator loss at iter 1923; skipping update. +2025-10-31 16:24:40,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:40,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:40,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=14.64, mean=-0.2488, std=3.561, absmax=14.64 +2025-10-31 16:24:40,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=12.68, mean=-0.2175, std=2.975, absmax=12.68 +2025-10-31 16:24:40,573 ERROR: Encountered non-finite generator loss at iter 1924; skipping update. +2025-10-31 16:24:40,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:40,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:40,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:40,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:40,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.51, mean=-0.0405, std=3.317, absmax=13.51 +2025-10-31 16:24:40,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.969, max=10.87, mean=-0.05111, std=2.781, absmax=10.87 +2025-10-31 16:24:41,078 ERROR: Encountered non-finite generator loss at iter 1925; skipping update. +2025-10-31 16:24:41,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:41,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:41,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.67, mean=-0.2793, std=2.585, absmax=12.67 +2025-10-31 16:24:41,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.575, max=9.445, mean=-0.2864, std=2.146, absmax=9.575 +2025-10-31 16:24:41,582 ERROR: Encountered non-finite generator loss at iter 1926; skipping update. +2025-10-31 16:24:41,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:41,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:41,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:41,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:41,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.66, mean=-0.1232, std=2.965, absmax=15.66 +2025-10-31 16:24:41,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=12.25, mean=-0.1112, std=2.461, absmax=12.25 +2025-10-31 16:24:42,084 ERROR: Encountered non-finite generator loss at iter 1927; skipping update. +2025-10-31 16:24:42,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:42,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:42,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.76, mean=-0.2186, std=2.907, absmax=12.29 +2025-10-31 16:24:42,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=9.549, mean=-0.217, std=2.39, absmax=11.11 +2025-10-31 16:24:42,588 ERROR: Encountered non-finite generator loss at iter 1928; skipping update. +2025-10-31 16:24:42,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:42,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:42,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:42,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:42,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15.4, mean=-0.2289, std=2.912, absmax=15.4 +2025-10-31 16:24:42,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.634, mean=-0.1636, std=2.421, absmax=10.48 +2025-10-31 16:24:43,092 ERROR: Encountered non-finite generator loss at iter 1929; skipping update. +2025-10-31 16:24:43,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:43,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:43,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=14.34, mean=-0.1628, std=3.38, absmax=15.09 +2025-10-31 16:24:43,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.87, max=9.296, mean=-0.1549, std=2.947, absmax=12.87 +2025-10-31 16:24:43,597 ERROR: Encountered non-finite generator loss at iter 1930; skipping update. +2025-10-31 16:24:43,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:43,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:43,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:43,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:43,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.39, mean=-0.1196, std=2.707, absmax=12.14 +2025-10-31 16:24:43,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.833, max=8.63, mean=-0.2105, std=2.372, absmax=9.833 +2025-10-31 16:24:44,101 ERROR: Encountered non-finite generator loss at iter 1931; skipping update. +2025-10-31 16:24:44,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:44,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:44,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=11.6, mean=-0.2092, std=3.038, absmax=13.87 +2025-10-31 16:24:44,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=9.248, mean=-0.1969, std=2.515, absmax=11.04 +2025-10-31 16:24:44,602 ERROR: Encountered non-finite generator loss at iter 1932; skipping update. +2025-10-31 16:24:44,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:44,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:44,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:44,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:44,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.02, mean=-0.1546, std=2.808, absmax=13.02 +2025-10-31 16:24:44,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.29, max=8.671, mean=-0.1929, std=2.152, absmax=8.671 +2025-10-31 16:24:45,106 ERROR: Encountered non-finite generator loss at iter 1933; skipping update. +2025-10-31 16:24:45,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:45,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:45,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=10.49, mean=-0.1966, std=2.76, absmax=14.19 +2025-10-31 16:24:45,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.105, mean=-0.2252, std=2.461, absmax=10.77 +2025-10-31 16:24:45,610 ERROR: Encountered non-finite generator loss at iter 1934; skipping update. +2025-10-31 16:24:45,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:45,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:45,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:45,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:45,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=15.15, mean=-0.05299, std=3.041, absmax=15.15 +2025-10-31 16:24:45,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.429, max=11.79, mean=-0.055, std=2.538, absmax=11.79 +2025-10-31 16:24:46,114 ERROR: Encountered non-finite generator loss at iter 1935; skipping update. +2025-10-31 16:24:46,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:46,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:46,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.23, mean=-0.1997, std=2.462, absmax=13.23 +2025-10-31 16:24:46,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.913, max=8.221, mean=-0.2202, std=2.083, absmax=8.913 +2025-10-31 16:24:46,616 ERROR: Encountered non-finite generator loss at iter 1936; skipping update. +2025-10-31 16:24:46,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:46,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:46,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:46,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:46,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=11.58, mean=-0.3046, std=2.709, absmax=14.55 +2025-10-31 16:24:46,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=7.676, mean=-0.3075, std=2.194, absmax=10.95 +2025-10-31 16:24:47,118 ERROR: Encountered non-finite generator loss at iter 1937; skipping update. +2025-10-31 16:24:47,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:47,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:47,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.96, mean=-0.1172, std=3.046, absmax=12.36 +2025-10-31 16:24:47,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.43, mean=-0.09999, std=2.713, absmax=11 +2025-10-31 16:24:47,621 ERROR: Encountered non-finite generator loss at iter 1938; skipping update. +2025-10-31 16:24:47,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:47,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:47,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:47,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:47,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.35, mean=-0.162, std=2.793, absmax=12.71 +2025-10-31 16:24:47,637 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.21, mean=-0.1652, std=2.303, absmax=10.21 +2025-10-31 16:24:48,131 ERROR: Encountered non-finite generator loss at iter 1939; skipping update. +2025-10-31 16:24:48,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:48,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:48,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.79, mean=-0.04506, std=3.065, absmax=14.79 +2025-10-31 16:24:48,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=11.12, mean=-0.05356, std=2.512, absmax=11.12 +2025-10-31 16:24:48,635 ERROR: Encountered non-finite generator loss at iter 1940; skipping update. +2025-10-31 16:24:48,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:48,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:48,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:48,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:48,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.45, mean=-0.01286, std=2.84, absmax=13.45 +2025-10-31 16:24:48,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=11.91, mean=-0.01532, std=2.458, absmax=11.91 +2025-10-31 16:24:49,136 ERROR: Encountered non-finite generator loss at iter 1941; skipping update. +2025-10-31 16:24:49,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:49,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:49,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.7, mean=-0.1153, std=2.703, absmax=13.7 +2025-10-31 16:24:49,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.917, max=9.288, mean=-0.1487, std=2.224, absmax=9.917 +2025-10-31 16:24:49,639 ERROR: Encountered non-finite generator loss at iter 1942; skipping update. +2025-10-31 16:24:49,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:49,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:49,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:49,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:49,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.03, mean=-0.2276, std=2.703, absmax=12.94 +2025-10-31 16:24:49,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.16, mean=-0.1648, std=2.257, absmax=10.24 +2025-10-31 16:24:50,145 ERROR: Encountered non-finite generator loss at iter 1943; skipping update. +2025-10-31 16:24:50,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:50,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:50,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.59, mean=-0.2193, std=2.879, absmax=13.59 +2025-10-31 16:24:50,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=10.44, mean=-0.1822, std=2.514, absmax=10.44 +2025-10-31 16:24:50,648 ERROR: Encountered non-finite generator loss at iter 1944; skipping update. +2025-10-31 16:24:50,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,651 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:50,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:50,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:50,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:50,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.49, mean=-0.2745, std=2.787, absmax=11.52 +2025-10-31 16:24:50,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.734, max=8.196, mean=-0.2677, std=2.27, absmax=8.734 +2025-10-31 16:24:51,152 ERROR: Encountered non-finite generator loss at iter 1945; skipping update. +2025-10-31 16:24:51,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,155 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,158 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:51,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:51,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=12.13, mean=-0.1561, std=2.706, absmax=13.64 +2025-10-31 16:24:51,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=8.656, mean=-0.1197, std=2.364, absmax=11.13 +2025-10-31 16:24:51,654 ERROR: Encountered non-finite generator loss at iter 1946; skipping update. +2025-10-31 16:24:51,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:51,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:51,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:51,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:51,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.84, mean=-0.2305, std=3.339, absmax=12.84 +2025-10-31 16:24:51,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=10.45, mean=-0.255, std=2.953, absmax=12.2 +2025-10-31 16:24:52,158 ERROR: Encountered non-finite generator loss at iter 1947; skipping update. +2025-10-31 16:24:52,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:52,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:52,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=13.65, mean=0.2263, std=3.202, absmax=13.65 +2025-10-31 16:24:52,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.744, max=10.74, mean=0.17, std=2.722, absmax=10.74 +2025-10-31 16:24:52,662 ERROR: Encountered non-finite generator loss at iter 1948; skipping update. +2025-10-31 16:24:52,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:52,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:52,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:52,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:52,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.64, mean=-0.1047, std=3.176, absmax=15.64 +2025-10-31 16:24:52,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=11.38, mean=-0.1315, std=2.585, absmax=11.38 +2025-10-31 16:24:53,167 ERROR: Encountered non-finite generator loss at iter 1949; skipping update. +2025-10-31 16:24:53,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:53,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:53,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14.36, mean=0.07122, std=3.178, absmax=14.36 +2025-10-31 16:24:53,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.231, max=11.29, mean=0.008583, std=2.582, absmax=11.29 +2025-10-31 16:24:53,673 ERROR: Encountered non-finite generator loss at iter 1950; skipping update. +2025-10-31 16:24:53,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:53,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:53,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:53,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:53,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=16.4, mean=-0.01475, std=3.296, absmax=16.4 +2025-10-31 16:24:53,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.359, max=10, mean=0.01161, std=2.636, absmax=10 +2025-10-31 16:24:54,178 ERROR: Encountered non-finite generator loss at iter 1951; skipping update. +2025-10-31 16:24:54,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:54,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:54,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.23, mean=-0.1417, std=3.304, absmax=12.96 +2025-10-31 16:24:54,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.12, mean=-0.1679, std=2.596, absmax=10.73 +2025-10-31 16:24:54,680 ERROR: Encountered non-finite generator loss at iter 1952; skipping update. +2025-10-31 16:24:54,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:54,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:54,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:54,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:54,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.59, mean=-0.2353, std=2.678, absmax=13.59 +2025-10-31 16:24:54,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.817, max=8.064, mean=-0.2348, std=2.365, absmax=9.817 +2025-10-31 16:24:55,184 ERROR: Encountered non-finite generator loss at iter 1953; skipping update. +2025-10-31 16:24:55,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:55,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:55,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.84, mean=-0.08151, std=3.006, absmax=12.84 +2025-10-31 16:24:55,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.51, mean=-0.1012, std=2.575, absmax=10.51 +2025-10-31 16:24:55,690 ERROR: Encountered non-finite generator loss at iter 1954; skipping update. +2025-10-31 16:24:55,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,693 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:55,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:55,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:55,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:55,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.79, mean=-0.01006, std=3.714, absmax=14.3 +2025-10-31 16:24:55,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=11.54, mean=-0.001783, std=3.253, absmax=11.54 +2025-10-31 16:24:56,193 ERROR: Encountered non-finite generator loss at iter 1955; skipping update. +2025-10-31 16:24:56,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,201 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:56,202 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:56,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=9.794, mean=-0.2973, std=2.538, absmax=11.95 +2025-10-31 16:24:56,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.073, mean=-0.2759, std=2.329, absmax=10.29 +2025-10-31 16:24:56,699 ERROR: Encountered non-finite generator loss at iter 1956; skipping update. +2025-10-31 16:24:56,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:56,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:56,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:56,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:56,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=11.42, mean=-0.3214, std=2.807, absmax=15.3 +2025-10-31 16:24:56,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=7.593, mean=-0.2487, std=2.443, absmax=10.52 +2025-10-31 16:24:57,204 ERROR: Encountered non-finite generator loss at iter 1957; skipping update. +2025-10-31 16:24:57,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:57,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:57,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.87, mean=0.001321, std=3.067, absmax=12.52 +2025-10-31 16:24:57,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=9.977, mean=-0.07829, std=2.518, absmax=9.977 +2025-10-31 16:24:57,708 ERROR: Encountered non-finite generator loss at iter 1958; skipping update. +2025-10-31 16:24:57,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:57,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:57,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:57,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:57,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.35, mean=-0.05785, std=3.124, absmax=14.35 +2025-10-31 16:24:57,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.05, mean=-0.07707, std=2.608, absmax=11.05 +2025-10-31 16:24:58,215 ERROR: Encountered non-finite generator loss at iter 1959; skipping update. +2025-10-31 16:24:58,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:58,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:58,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.51, mean=-0.1164, std=2.557, absmax=13.05 +2025-10-31 16:24:58,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.615, max=10.04, mean=-0.1417, std=2.193, absmax=10.04 +2025-10-31 16:24:58,719 ERROR: Encountered non-finite generator loss at iter 1960; skipping update. +2025-10-31 16:24:58,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:58,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:58,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:58,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:58,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.89, max=13.69, mean=-0.4195, std=3.941, absmax=17.89 +2025-10-31 16:24:58,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.582, mean=-0.3618, std=3.284, absmax=11.83 +2025-10-31 16:24:59,224 ERROR: Encountered non-finite generator loss at iter 1961; skipping update. +2025-10-31 16:24:59,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:59,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:59,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=13.36, mean=-0.05524, std=3.464, absmax=14.89 +2025-10-31 16:24:59,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=11.21, mean=-0.04658, std=2.888, absmax=11.21 +2025-10-31 16:24:59,728 ERROR: Encountered non-finite generator loss at iter 1962; skipping update. +2025-10-31 16:24:59,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:24:59,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:24:59,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:24:59,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:24:59,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=18.53, mean=-0.04879, std=3.244, absmax=18.53 +2025-10-31 16:24:59,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.23, max=13.07, mean=-0.01614, std=2.908, absmax=13.07 +2025-10-31 16:25:00,230 ERROR: Encountered non-finite generator loss at iter 1963; skipping update. +2025-10-31 16:25:00,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,233 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:00,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:00,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.13, mean=-0.1129, std=2.954, absmax=13.13 +2025-10-31 16:25:00,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.48, mean=-0.1165, std=2.392, absmax=10.48 +2025-10-31 16:25:00,733 ERROR: Encountered non-finite generator loss at iter 1964; skipping update. +2025-10-31 16:25:00,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:00,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:00,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:00,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:00,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.37, mean=-0.1168, std=2.708, absmax=14.37 +2025-10-31 16:25:00,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.036, max=10.97, mean=-0.1095, std=2.284, absmax=10.97 +2025-10-31 16:25:01,234 ERROR: Encountered non-finite generator loss at iter 1965; skipping update. +2025-10-31 16:25:01,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:01,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:01,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.58, mean=-0.009954, std=3.117, absmax=13.46 +2025-10-31 16:25:01,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.62, mean=-0.06729, std=2.607, absmax=10.9 +2025-10-31 16:25:01,734 ERROR: Encountered non-finite generator loss at iter 1966; skipping update. +2025-10-31 16:25:01,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,738 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:01,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:01,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:01,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:01,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.66, mean=-0.06365, std=3.213, absmax=13.07 +2025-10-31 16:25:01,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=11.37, mean=-0.08414, std=2.798, absmax=11.97 +2025-10-31 16:25:02,237 ERROR: Encountered non-finite generator loss at iter 1967; skipping update. +2025-10-31 16:25:02,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:02,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:02,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.6, mean=-0.3403, std=3.093, absmax=13.6 +2025-10-31 16:25:02,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.453, mean=-0.2606, std=2.514, absmax=11 +2025-10-31 16:25:02,741 ERROR: Encountered non-finite generator loss at iter 1968; skipping update. +2025-10-31 16:25:02,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:02,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:02,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:02,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:02,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=13.39, mean=0.008887, std=2.495, absmax=13.39 +2025-10-31 16:25:02,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.828, max=10.65, mean=-0.00996, std=2.219, absmax=10.65 +2025-10-31 16:25:03,243 ERROR: Encountered non-finite generator loss at iter 1969; skipping update. +2025-10-31 16:25:03,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:03,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:03,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=16.38, mean=-0.2146, std=3.236, absmax=16.38 +2025-10-31 16:25:03,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=9.712, mean=-0.1928, std=2.786, absmax=12.3 +2025-10-31 16:25:03,761 ERROR: Encountered non-finite generator loss at iter 1970; skipping update. +2025-10-31 16:25:03,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:03,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:03,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:03,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:03,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=19.41, mean=0.08172, std=3.819, absmax=19.41 +2025-10-31 16:25:03,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.04, max=13.99, mean=0.116, std=3.319, absmax=13.99 +2025-10-31 16:25:04,263 ERROR: Encountered non-finite generator loss at iter 1971; skipping update. +2025-10-31 16:25:04,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:04,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:04,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.68, mean=-0.1076, std=2.689, absmax=13.68 +2025-10-31 16:25:04,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.674, max=9.533, mean=-0.1096, std=2.315, absmax=9.533 +2025-10-31 16:25:04,767 ERROR: Encountered non-finite generator loss at iter 1972; skipping update. +2025-10-31 16:25:04,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:04,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:04,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:04,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:04,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.96, mean=-0.1507, std=2.929, absmax=13.89 +2025-10-31 16:25:04,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.404, mean=-0.1167, std=2.405, absmax=10.13 +2025-10-31 16:25:05,267 ERROR: Encountered non-finite generator loss at iter 1973; skipping update. +2025-10-31 16:25:05,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:05,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:05,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=16.98, mean=-0.09692, std=3.012, absmax=16.98 +2025-10-31 16:25:05,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.04, mean=-0.1318, std=2.669, absmax=10.19 +2025-10-31 16:25:05,770 ERROR: Encountered non-finite generator loss at iter 1974; skipping update. +2025-10-31 16:25:05,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:05,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:05,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:05,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:05,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=18.53, mean=0.05901, std=3.708, absmax=18.53 +2025-10-31 16:25:05,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=13.99, mean=0.03998, std=3.199, absmax=13.99 +2025-10-31 16:25:06,274 ERROR: Encountered non-finite generator loss at iter 1975; skipping update. +2025-10-31 16:25:06,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:06,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:06,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.4, mean=-0.2439, std=2.94, absmax=12.37 +2025-10-31 16:25:06,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.697, max=9.181, mean=-0.235, std=2.594, absmax=9.697 +2025-10-31 16:25:06,777 ERROR: Encountered non-finite generator loss at iter 1976; skipping update. +2025-10-31 16:25:06,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:06,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:06,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:06,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:06,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.68, max=13.22, mean=-0.2028, std=2.962, absmax=13.22 +2025-10-31 16:25:06,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.091, max=11.14, mean=-0.1698, std=2.589, absmax=11.14 +2025-10-31 16:25:07,280 ERROR: Encountered non-finite generator loss at iter 1977; skipping update. +2025-10-31 16:25:07,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:07,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:07,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=12.99, mean=-0.1129, std=3.609, absmax=14.48 +2025-10-31 16:25:07,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.58, max=9.945, mean=-0.1398, std=2.837, absmax=12.58 +2025-10-31 16:25:07,782 ERROR: Encountered non-finite generator loss at iter 1978; skipping update. +2025-10-31 16:25:07,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,786 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:07,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:07,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:07,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:07,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.82, mean=-0.1347, std=2.698, absmax=12.83 +2025-10-31 16:25:07,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.833, mean=-0.1435, std=2.291, absmax=11.86 +2025-10-31 16:25:08,285 ERROR: Encountered non-finite generator loss at iter 1979; skipping update. +2025-10-31 16:25:08,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:08,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:08,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=11.78, mean=-0.1387, std=2.878, absmax=13.7 +2025-10-31 16:25:08,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=9.701, mean=-0.1994, std=2.585, absmax=11.92 +2025-10-31 16:25:08,788 ERROR: Encountered non-finite generator loss at iter 1980; skipping update. +2025-10-31 16:25:08,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:08,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:08,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:08,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:08,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.84, mean=-0.1, std=2.688, absmax=11.84 +2025-10-31 16:25:08,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.504, max=11.26, mean=-0.06746, std=2.43, absmax=11.26 +2025-10-31 16:25:09,290 ERROR: Encountered non-finite generator loss at iter 1981; skipping update. +2025-10-31 16:25:09,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:09,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:09,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13, mean=-0.1578, std=3.24, absmax=13 +2025-10-31 16:25:09,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=10.1, mean=-0.1779, std=2.72, absmax=11.45 +2025-10-31 16:25:09,794 ERROR: Encountered non-finite generator loss at iter 1982; skipping update. +2025-10-31 16:25:09,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:09,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:09,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:09,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:09,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.6, mean=-0.1908, std=2.842, absmax=12.6 +2025-10-31 16:25:09,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.807, max=9.967, mean=-0.1337, std=2.403, absmax=9.967 +2025-10-31 16:25:10,300 ERROR: Encountered non-finite generator loss at iter 1983; skipping update. +2025-10-31 16:25:10,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:10,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:10,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.52, mean=-0.1819, std=2.604, absmax=12.52 +2025-10-31 16:25:10,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.487, max=8.64, mean=-0.177, std=2.234, absmax=8.64 +2025-10-31 16:25:10,806 ERROR: Encountered non-finite generator loss at iter 1984; skipping update. +2025-10-31 16:25:10,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:10,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:10,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:10,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:10,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.92, mean=-0.0949, std=3.232, absmax=14.92 +2025-10-31 16:25:10,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.982, mean=-0.146, std=2.513, absmax=10.02 +2025-10-31 16:25:11,312 ERROR: Encountered non-finite generator loss at iter 1985; skipping update. +2025-10-31 16:25:11,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:11,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:11,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.29, mean=-0.3402, std=2.848, absmax=14.29 +2025-10-31 16:25:11,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.6, mean=-0.296, std=2.366, absmax=11.6 +2025-10-31 16:25:11,817 ERROR: Encountered non-finite generator loss at iter 1986; skipping update. +2025-10-31 16:25:11,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:11,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:11,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:11,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:11,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=11.03, mean=-0.3568, std=2.925, absmax=16.54 +2025-10-31 16:25:11,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.89, max=9.915, mean=-0.3543, std=2.718, absmax=12.89 +2025-10-31 16:25:12,322 ERROR: Encountered non-finite generator loss at iter 1987; skipping update. +2025-10-31 16:25:12,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:12,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:12,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.54, mean=0.07078, std=3.544, absmax=14.54 +2025-10-31 16:25:12,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=13.45, mean=0.07596, std=3.189, absmax=13.45 +2025-10-31 16:25:12,825 ERROR: Encountered non-finite generator loss at iter 1988; skipping update. +2025-10-31 16:25:12,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:12,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:12,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:12,833 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:12,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12, mean=-0.2036, std=3.136, absmax=13.6 +2025-10-31 16:25:12,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=10.23, mean=-0.2384, std=2.635, absmax=11.31 +2025-10-31 16:25:13,330 ERROR: Encountered non-finite generator loss at iter 1989; skipping update. +2025-10-31 16:25:13,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:13,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:13,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.3, mean=-0.01144, std=3.177, absmax=13.3 +2025-10-31 16:25:13,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.846, max=10.87, mean=-0.05776, std=2.585, absmax=10.87 +2025-10-31 16:25:13,832 ERROR: Encountered non-finite generator loss at iter 1990; skipping update. +2025-10-31 16:25:13,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:13,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:13,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:13,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:13,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.12, mean=-0.08583, std=2.924, absmax=13.38 +2025-10-31 16:25:13,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.94, mean=-0.1025, std=2.474, absmax=10.29 +2025-10-31 16:25:14,338 ERROR: Encountered non-finite generator loss at iter 1991; skipping update. +2025-10-31 16:25:14,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:14,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:14,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.1, mean=-0.1826, std=2.749, absmax=11.72 +2025-10-31 16:25:14,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.674, max=8.261, mean=-0.1818, std=2.279, absmax=9.674 +2025-10-31 16:25:14,841 ERROR: Encountered non-finite generator loss at iter 1992; skipping update. +2025-10-31 16:25:14,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:14,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:14,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:14,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:14,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.04, max=11.86, mean=-0.28, std=2.986, absmax=16.04 +2025-10-31 16:25:14,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=11.75, mean=-0.2382, std=2.64, absmax=11.99 +2025-10-31 16:25:15,343 ERROR: Encountered non-finite generator loss at iter 1993; skipping update. +2025-10-31 16:25:15,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:15,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:15,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.14, mean=-0.02704, std=2.776, absmax=14.14 +2025-10-31 16:25:15,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.24, max=10.23, mean=-0.1041, std=2.338, absmax=10.23 +2025-10-31 16:25:15,848 ERROR: Encountered non-finite generator loss at iter 1994; skipping update. +2025-10-31 16:25:15,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:15,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:15,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:15,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:15,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.48, mean=-0.2035, std=3.02, absmax=12.48 +2025-10-31 16:25:15,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.729, max=8.796, mean=-0.2267, std=2.419, absmax=9.729 +2025-10-31 16:25:16,349 ERROR: Encountered non-finite generator loss at iter 1995; skipping update. +2025-10-31 16:25:16,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:16,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:16,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.11, mean=-0.1604, std=2.865, absmax=12.95 +2025-10-31 16:25:16,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.024, mean=-0.1728, std=2.641, absmax=11.86 +2025-10-31 16:25:16,853 ERROR: Encountered non-finite generator loss at iter 1996; skipping update. +2025-10-31 16:25:16,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,860 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:16,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:16,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:16,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:16,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=10.56, mean=-0.407, std=3.229, absmax=13.98 +2025-10-31 16:25:16,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.87, max=8.91, mean=-0.3522, std=2.829, absmax=12.87 +2025-10-31 16:25:17,358 ERROR: Encountered non-finite generator loss at iter 1997; skipping update. +2025-10-31 16:25:17,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,361 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,363 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:17,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:17,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=11.22, mean=-0.3131, std=2.341, absmax=11.26 +2025-10-31 16:25:17,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=9.652, mean=-0.2657, std=2.021, absmax=9.652 +2025-10-31 16:25:17,858 ERROR: Encountered non-finite generator loss at iter 1998; skipping update. +2025-10-31 16:25:17,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:17,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:17,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:17,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:17,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.73, mean=-0.1652, std=2.85, absmax=12.73 +2025-10-31 16:25:17,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.806, max=9.653, mean=-0.1409, std=2.408, absmax=9.806 +2025-10-31 16:25:18,363 ERROR: Encountered non-finite generator loss at iter 1999; skipping update. +2025-10-31 16:25:18,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,365 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,368 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,369 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:18,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:18,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=16.58, mean=-0.1501, std=3.37, absmax=16.58 +2025-10-31 16:25:18,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.999, max=11.54, mean=-0.135, std=2.633, absmax=11.54 +2025-10-31 16:25:18,866 ERROR: Encountered non-finite generator loss at iter 2000; skipping update. +2025-10-31 16:25:18,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:18,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:18,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:18,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:18,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.83, mean=-0.191, std=3.122, absmax=13.83 +2025-10-31 16:25:18,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.973, max=8.751, mean=-0.1605, std=2.562, absmax=9.973 +2025-10-31 16:25:18,879 INFO: [29..][epoch: 0, step: 2,000, lr:(1.500e-04,)] [eta: 1 day, 20:00:06, time (data): 0.503 (0.000)] +2025-10-31 16:25:19,371 ERROR: Encountered non-finite generator loss at iter 2001; skipping update. +2025-10-31 16:25:19,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:19,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:19,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.42, max=12.74, mean=-0.2079, std=3.062, absmax=16.42 +2025-10-31 16:25:19,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.824, mean=-0.2272, std=2.39, absmax=10.57 +2025-10-31 16:25:19,874 ERROR: Encountered non-finite generator loss at iter 2002; skipping update. +2025-10-31 16:25:19,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:19,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:19,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:19,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:19,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=10.33, mean=-0.1313, std=2.632, absmax=10.69 +2025-10-31 16:25:19,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.965, mean=-0.1484, std=2.478, absmax=10.73 +2025-10-31 16:25:20,378 ERROR: Encountered non-finite generator loss at iter 2003; skipping update. +2025-10-31 16:25:20,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:20,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:20,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.24, mean=0.02685, std=2.81, absmax=12.24 +2025-10-31 16:25:20,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.936, max=9.924, mean=-0.0479, std=2.361, absmax=9.924 +2025-10-31 16:25:20,879 ERROR: Encountered non-finite generator loss at iter 2004; skipping update. +2025-10-31 16:25:20,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:20,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:20,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:20,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:20,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.24, mean=-0.1833, std=3.259, absmax=13.94 +2025-10-31 16:25:20,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.697, mean=-0.183, std=2.761, absmax=11.16 +2025-10-31 16:25:21,381 ERROR: Encountered non-finite generator loss at iter 2005; skipping update. +2025-10-31 16:25:21,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:21,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:21,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.26, mean=-0.4408, std=3.698, absmax=14.77 +2025-10-31 16:25:21,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=9.191, mean=-0.3613, std=3.093, absmax=12.04 +2025-10-31 16:25:21,882 ERROR: Encountered non-finite generator loss at iter 2006; skipping update. +2025-10-31 16:25:21,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:21,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:21,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:21,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:21,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.98, mean=-0.2341, std=2.793, absmax=12.98 +2025-10-31 16:25:21,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.627, max=7.483, mean=-0.1937, std=2.258, absmax=9.627 +2025-10-31 16:25:22,386 ERROR: Encountered non-finite generator loss at iter 2007; skipping update. +2025-10-31 16:25:22,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:22,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:22,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.14, mean=-0.126, std=3.279, absmax=14.14 +2025-10-31 16:25:22,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.594, max=13.09, mean=-0.1125, std=2.828, absmax=13.09 +2025-10-31 16:25:22,891 ERROR: Encountered non-finite generator loss at iter 2008; skipping update. +2025-10-31 16:25:22,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:22,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:22,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:22,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:22,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.39, mean=0.09133, std=3.659, absmax=15.39 +2025-10-31 16:25:22,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=14.91, mean=0.07844, std=3.279, absmax=14.91 +2025-10-31 16:25:23,393 ERROR: Encountered non-finite generator loss at iter 2009; skipping update. +2025-10-31 16:25:23,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:23,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:23,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=10.8, mean=-0.1766, std=2.367, absmax=11.4 +2025-10-31 16:25:23,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.138, max=9.752, mean=-0.2062, std=2.112, absmax=9.752 +2025-10-31 16:25:23,895 ERROR: Encountered non-finite generator loss at iter 2010; skipping update. +2025-10-31 16:25:23,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:23,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:23,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:23,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:23,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=15.22, mean=-0.06825, std=3.328, absmax=15.22 +2025-10-31 16:25:23,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=12.07, mean=-0.06989, std=2.871, absmax=12.07 +2025-10-31 16:25:24,398 ERROR: Encountered non-finite generator loss at iter 2011; skipping update. +2025-10-31 16:25:24,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:24,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:24,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=13.51, mean=-0.2401, std=2.657, absmax=13.51 +2025-10-31 16:25:24,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.889, max=11.99, mean=-0.2088, std=2.158, absmax=11.99 +2025-10-31 16:25:24,901 ERROR: Encountered non-finite generator loss at iter 2012; skipping update. +2025-10-31 16:25:24,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:24,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:24,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:24,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:24,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.17, mean=-0.1376, std=2.569, absmax=12.14 +2025-10-31 16:25:24,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.561, max=8.988, mean=-0.1251, std=2.286, absmax=9.561 +2025-10-31 16:25:25,405 ERROR: Encountered non-finite generator loss at iter 2013; skipping update. +2025-10-31 16:25:25,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:25,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:25,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=10.76, mean=-0.2895, std=2.569, absmax=12.2 +2025-10-31 16:25:25,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.005, mean=-0.3005, std=2.238, absmax=10.84 +2025-10-31 16:25:25,910 ERROR: Encountered non-finite generator loss at iter 2014; skipping update. +2025-10-31 16:25:25,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:25,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:25,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:25,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:25,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=12.99, mean=-0.04046, std=2.719, absmax=12.99 +2025-10-31 16:25:25,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=10.03, mean=-0.1178, std=2.363, absmax=10.03 +2025-10-31 16:25:26,412 ERROR: Encountered non-finite generator loss at iter 2015; skipping update. +2025-10-31 16:25:26,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:26,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:26,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.98, mean=-0.1176, std=2.665, absmax=12.98 +2025-10-31 16:25:26,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.092, max=11.71, mean=-0.161, std=2.186, absmax=11.71 +2025-10-31 16:25:26,915 ERROR: Encountered non-finite generator loss at iter 2016; skipping update. +2025-10-31 16:25:26,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,917 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:26,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:26,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:26,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:26,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.93, mean=0.07698, std=3.647, absmax=15.93 +2025-10-31 16:25:26,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=12.77, mean=0.0334, std=3.142, absmax=12.77 +2025-10-31 16:25:27,417 ERROR: Encountered non-finite generator loss at iter 2017; skipping update. +2025-10-31 16:25:27,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,420 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,422 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:27,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:27,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.68, mean=-0.1717, std=2.702, absmax=13.77 +2025-10-31 16:25:27,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=9.544, mean=-0.1827, std=2.321, absmax=11.73 +2025-10-31 16:25:27,919 ERROR: Encountered non-finite generator loss at iter 2018; skipping update. +2025-10-31 16:25:27,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:27,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:27,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:27,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:27,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=15.33, mean=0.1706, std=3.538, absmax=15.33 +2025-10-31 16:25:27,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=13.56, mean=0.1286, std=3.061, absmax=13.56 +2025-10-31 16:25:28,420 ERROR: Encountered non-finite generator loss at iter 2019; skipping update. +2025-10-31 16:25:28,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:28,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:28,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.98, mean=0.02207, std=3.561, absmax=14.98 +2025-10-31 16:25:28,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=12.16, mean=0.02017, std=2.97, absmax=12.16 +2025-10-31 16:25:28,923 ERROR: Encountered non-finite generator loss at iter 2020; skipping update. +2025-10-31 16:25:28,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:28,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:28,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:28,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:28,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.1, mean=-0.2199, std=2.597, absmax=14.1 +2025-10-31 16:25:28,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.833, max=10.19, mean=-0.224, std=2.16, absmax=10.19 +2025-10-31 16:25:29,425 ERROR: Encountered non-finite generator loss at iter 2021; skipping update. +2025-10-31 16:25:29,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:29,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:29,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.28, mean=-0.1513, std=2.553, absmax=11.55 +2025-10-31 16:25:29,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.06, mean=-0.1733, std=2.323, absmax=10.15 +2025-10-31 16:25:29,929 ERROR: Encountered non-finite generator loss at iter 2022; skipping update. +2025-10-31 16:25:29,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:29,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:29,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:29,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:29,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=16.96, mean=-0.1395, std=3.141, absmax=16.96 +2025-10-31 16:25:29,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=10.63, mean=-0.1526, std=2.612, absmax=11.54 +2025-10-31 16:25:30,430 ERROR: Encountered non-finite generator loss at iter 2023; skipping update. +2025-10-31 16:25:30,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,433 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:30,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:30,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.96, mean=-0.0123, std=3.369, absmax=12.89 +2025-10-31 16:25:30,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.832, mean=0.009871, std=2.816, absmax=10.31 +2025-10-31 16:25:30,932 ERROR: Encountered non-finite generator loss at iter 2024; skipping update. +2025-10-31 16:25:30,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:30,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:30,940 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:30,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:30,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.89, mean=-0.1866, std=2.897, absmax=11.89 +2025-10-31 16:25:30,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.735, max=8.536, mean=-0.1685, std=2.466, absmax=9.735 +2025-10-31 16:25:31,435 ERROR: Encountered non-finite generator loss at iter 2025; skipping update. +2025-10-31 16:25:31,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:31,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:31,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.3, mean=-0.1165, std=2.754, absmax=13.43 +2025-10-31 16:25:31,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.187, max=10.26, mean=-0.1332, std=2.266, absmax=10.26 +2025-10-31 16:25:31,938 ERROR: Encountered non-finite generator loss at iter 2026; skipping update. +2025-10-31 16:25:31,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:31,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:31,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:31,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:31,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=12.31, mean=-0.1974, std=3.174, absmax=14.12 +2025-10-31 16:25:31,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=10.28, mean=-0.1946, std=2.648, absmax=11.4 +2025-10-31 16:25:32,439 ERROR: Encountered non-finite generator loss at iter 2027; skipping update. +2025-10-31 16:25:32,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:32,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:32,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.05, mean=-0.07951, std=2.826, absmax=12.64 +2025-10-31 16:25:32,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.825, max=10.6, mean=-0.09812, std=2.438, absmax=10.6 +2025-10-31 16:25:32,945 ERROR: Encountered non-finite generator loss at iter 2028; skipping update. +2025-10-31 16:25:32,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:32,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:32,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:32,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:32,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.67, mean=-0.0438, std=2.946, absmax=12.67 +2025-10-31 16:25:32,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.841, max=9.639, mean=-0.004879, std=2.636, absmax=9.841 +2025-10-31 16:25:33,447 ERROR: Encountered non-finite generator loss at iter 2029; skipping update. +2025-10-31 16:25:33,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:33,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:33,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=10.36, mean=-0.2287, std=2.476, absmax=11.6 +2025-10-31 16:25:33,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.02, max=8.74, mean=-0.2046, std=2.142, absmax=9.02 +2025-10-31 16:25:33,953 ERROR: Encountered non-finite generator loss at iter 2030; skipping update. +2025-10-31 16:25:33,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:33,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:33,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:33,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:33,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.02, mean=-0.1482, std=2.636, absmax=12.13 +2025-10-31 16:25:33,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.505, max=8.473, mean=-0.1391, std=2.236, absmax=9.505 +2025-10-31 16:25:34,459 ERROR: Encountered non-finite generator loss at iter 2031; skipping update. +2025-10-31 16:25:34,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:34,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:34,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.93, mean=-0.09192, std=2.805, absmax=13.18 +2025-10-31 16:25:34,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.766, max=9.091, mean=-0.09304, std=2.303, absmax=9.766 +2025-10-31 16:25:34,965 ERROR: Encountered non-finite generator loss at iter 2032; skipping update. +2025-10-31 16:25:34,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:34,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:34,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:34,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:34,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.06, mean=-0.1316, std=2.902, absmax=13.06 +2025-10-31 16:25:34,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.881, max=11.58, mean=-0.1067, std=2.705, absmax=11.58 +2025-10-31 16:25:35,468 ERROR: Encountered non-finite generator loss at iter 2033; skipping update. +2025-10-31 16:25:35,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:35,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:35,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.15, mean=-0.1407, std=3.02, absmax=12.34 +2025-10-31 16:25:35,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.958, max=9.556, mean=-0.1024, std=2.517, absmax=9.958 +2025-10-31 16:25:35,974 ERROR: Encountered non-finite generator loss at iter 2034; skipping update. +2025-10-31 16:25:35,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:35,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:35,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:35,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:35,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.32, mean=0.05061, std=3.832, absmax=14.32 +2025-10-31 16:25:35,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=11.63, mean=0.04701, std=3.257, absmax=11.63 +2025-10-31 16:25:36,478 ERROR: Encountered non-finite generator loss at iter 2035; skipping update. +2025-10-31 16:25:36,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:36,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:36,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.53, mean=0.05692, std=3.346, absmax=12.73 +2025-10-31 16:25:36,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.29, mean=0.008915, std=2.704, absmax=10.52 +2025-10-31 16:25:36,983 ERROR: Encountered non-finite generator loss at iter 2036; skipping update. +2025-10-31 16:25:36,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:36,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:36,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:36,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:36,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=12.45, mean=-0.1176, std=2.885, absmax=12.45 +2025-10-31 16:25:36,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.774, max=8.707, mean=-0.07868, std=2.427, absmax=9.774 +2025-10-31 16:25:37,488 ERROR: Encountered non-finite generator loss at iter 2037; skipping update. +2025-10-31 16:25:37,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:37,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:37,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:37,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:37,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:37,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:37,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:37,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:37,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=16.18, mean=-0.2685, std=2.599, absmax=16.18 +2025-10-31 16:25:37,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.435, max=10.7, mean=-0.2804, std=2.19, absmax=10.7 +2025-10-31 16:25:37,994 ERROR: Encountered non-finite generator loss at iter 2038; skipping update. +2025-10-31 16:25:37,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:37,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:37,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:38,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:38,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:38,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:38,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:38,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:38,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=13.6, mean=-0.1641, std=2.712, absmax=13.6 +2025-10-31 16:25:38,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.468, max=10.74, mean=-0.1674, std=2.194, absmax=10.74 +2025-10-31 16:25:38,500 ERROR: Encountered non-finite generator loss at iter 2039; skipping update. +2025-10-31 16:25:38,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:38,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:38,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:38,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:38,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:38,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:38,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:38,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:38,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=10.31, mean=-0.2586, std=2.398, absmax=11.15 +2025-10-31 16:25:38,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.588, max=7.673, mean=-0.216, std=2.154, absmax=9.588 +2025-10-31 16:25:39,003 ERROR: Encountered non-finite generator loss at iter 2040; skipping update. +2025-10-31 16:25:39,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:39,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:39,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.68, mean=-0.08155, std=3.006, absmax=12.68 +2025-10-31 16:25:39,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.78, mean=-0.07719, std=2.649, absmax=10.98 +2025-10-31 16:25:39,509 ERROR: Encountered non-finite generator loss at iter 2041; skipping update. +2025-10-31 16:25:39,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:39,514 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:39,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:39,516 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:39,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.81, mean=-0.02937, std=3.392, absmax=14.81 +2025-10-31 16:25:39,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=12.66, mean=-0.02167, std=2.859, absmax=12.66 +2025-10-31 16:25:40,013 ERROR: Encountered non-finite generator loss at iter 2042; skipping update. +2025-10-31 16:25:40,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,015 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:40,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:40,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.75, mean=-0.07105, std=2.992, absmax=13.89 +2025-10-31 16:25:40,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.69, mean=-0.0992, std=2.429, absmax=11.66 +2025-10-31 16:25:40,515 ERROR: Encountered non-finite generator loss at iter 2043; skipping update. +2025-10-31 16:25:40,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:40,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:40,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:40,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:40,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.45, mean=-0.2329, std=2.846, absmax=12.45 +2025-10-31 16:25:40,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.649, max=10.98, mean=-0.2293, std=2.574, absmax=10.98 +2025-10-31 16:25:41,020 ERROR: Encountered non-finite generator loss at iter 2044; skipping update. +2025-10-31 16:25:41,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:41,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:41,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.9, mean=-0.1327, std=3.031, absmax=15.9 +2025-10-31 16:25:41,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=11.19, mean=-0.1487, std=2.523, absmax=11.74 +2025-10-31 16:25:41,523 ERROR: Encountered non-finite generator loss at iter 2045; skipping update. +2025-10-31 16:25:41,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:41,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:41,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:41,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:41,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.68, mean=-0.2979, std=2.739, absmax=12.9 +2025-10-31 16:25:41,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.807, mean=-0.2342, std=2.362, absmax=10.05 +2025-10-31 16:25:42,027 ERROR: Encountered non-finite generator loss at iter 2046; skipping update. +2025-10-31 16:25:42,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:42,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:42,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.78, mean=-0.2473, std=2.582, absmax=13.78 +2025-10-31 16:25:42,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.843, max=7.864, mean=-0.2474, std=2.074, absmax=9.843 +2025-10-31 16:25:42,530 ERROR: Encountered non-finite generator loss at iter 2047; skipping update. +2025-10-31 16:25:42,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:42,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:42,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:42,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:42,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=17.02, mean=-0.2641, std=2.69, absmax=17.02 +2025-10-31 16:25:42,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.008, mean=-0.3376, std=2.407, absmax=11.41 +2025-10-31 16:25:43,034 ERROR: Encountered non-finite generator loss at iter 2048; skipping update. +2025-10-31 16:25:43,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:43,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:43,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=15.21, mean=-0.06453, std=3.502, absmax=15.21 +2025-10-31 16:25:43,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=11.94, mean=-0.07201, std=2.884, absmax=13.19 +2025-10-31 16:25:43,539 ERROR: Encountered non-finite generator loss at iter 2049; skipping update. +2025-10-31 16:25:43,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:43,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:43,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:43,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:43,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.48, mean=-0.09557, std=2.695, absmax=12.48 +2025-10-31 16:25:43,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.951, max=10.25, mean=-0.0693, std=2.292, absmax=10.25 +2025-10-31 16:25:44,043 ERROR: Encountered non-finite generator loss at iter 2050; skipping update. +2025-10-31 16:25:44,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:44,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:44,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.55, mean=-0.1695, std=3.299, absmax=13.55 +2025-10-31 16:25:44,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.55, mean=-0.1482, std=2.779, absmax=11.55 +2025-10-31 16:25:44,544 ERROR: Encountered non-finite generator loss at iter 2051; skipping update. +2025-10-31 16:25:44,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:44,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:44,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:44,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:44,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=11.65, mean=-0.1071, std=3.092, absmax=13.65 +2025-10-31 16:25:44,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.504, mean=-0.1202, std=2.639, absmax=10.3 +2025-10-31 16:25:45,049 ERROR: Encountered non-finite generator loss at iter 2052; skipping update. +2025-10-31 16:25:45,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:45,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:45,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=20.17, mean=-0.06978, std=3.483, absmax=20.17 +2025-10-31 16:25:45,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=13.91, mean=-0.1002, std=2.804, absmax=13.91 +2025-10-31 16:25:45,552 ERROR: Encountered non-finite generator loss at iter 2053; skipping update. +2025-10-31 16:25:45,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:45,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:45,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:45,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:45,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=21.12, mean=-0.09965, std=3.502, absmax=21.12 +2025-10-31 16:25:45,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=16.67, mean=-0.1055, std=2.92, absmax=16.67 +2025-10-31 16:25:46,056 ERROR: Encountered non-finite generator loss at iter 2054; skipping update. +2025-10-31 16:25:46,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:46,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:46,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.45, mean=-0.2361, std=2.402, absmax=13.57 +2025-10-31 16:25:46,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.709, max=7.616, mean=-0.2119, std=2, absmax=8.709 +2025-10-31 16:25:46,561 ERROR: Encountered non-finite generator loss at iter 2055; skipping update. +2025-10-31 16:25:46,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:46,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:46,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:46,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:46,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.57, mean=-0.3846, std=3.054, absmax=13.57 +2025-10-31 16:25:46,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=8.216, mean=-0.3676, std=2.502, absmax=11.57 +2025-10-31 16:25:47,066 ERROR: Encountered non-finite generator loss at iter 2056; skipping update. +2025-10-31 16:25:47,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,071 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:47,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:47,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.06, mean=-0.02756, std=3.332, absmax=13.7 +2025-10-31 16:25:47,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.522, max=10.28, mean=-0.05083, std=2.747, absmax=10.28 +2025-10-31 16:25:47,571 ERROR: Encountered non-finite generator loss at iter 2057; skipping update. +2025-10-31 16:25:47,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:47,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:47,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:47,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:47,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=13.86, mean=-0.1752, std=3.059, absmax=14.6 +2025-10-31 16:25:47,581 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.729, max=10.09, mean=-0.1609, std=2.514, absmax=10.09 +2025-10-31 16:25:48,075 ERROR: Encountered non-finite generator loss at iter 2058; skipping update. +2025-10-31 16:25:48,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:48,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:48,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.23, mean=-0.3329, std=2.95, absmax=12.65 +2025-10-31 16:25:48,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=7.479, mean=-0.3435, std=2.512, absmax=11.16 +2025-10-31 16:25:48,579 ERROR: Encountered non-finite generator loss at iter 2059; skipping update. +2025-10-31 16:25:48,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:48,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:48,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:48,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:48,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.21, mean=-0.02872, std=2.94, absmax=14.21 +2025-10-31 16:25:48,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.315, max=10.71, mean=-0.05821, std=2.48, absmax=10.71 +2025-10-31 16:25:49,084 ERROR: Encountered non-finite generator loss at iter 2060; skipping update. +2025-10-31 16:25:49,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:49,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:49,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=13.26, mean=-0.2513, std=3.257, absmax=14.47 +2025-10-31 16:25:49,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.303, mean=-0.2368, std=2.613, absmax=11.84 +2025-10-31 16:25:49,589 ERROR: Encountered non-finite generator loss at iter 2061; skipping update. +2025-10-31 16:25:49,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,592 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:49,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:49,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:49,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:49,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.95, mean=0.02385, std=3.189, absmax=13.95 +2025-10-31 16:25:49,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=12.36, mean=0.01493, std=2.692, absmax=12.36 +2025-10-31 16:25:50,092 ERROR: Encountered non-finite generator loss at iter 2062; skipping update. +2025-10-31 16:25:50,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:50,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:50,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.06, mean=-0.1603, std=3.079, absmax=13.06 +2025-10-31 16:25:50,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.467, mean=-0.2221, std=2.452, absmax=10.92 +2025-10-31 16:25:50,596 ERROR: Encountered non-finite generator loss at iter 2063; skipping update. +2025-10-31 16:25:50,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,598 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:50,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:50,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:50,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:50,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=16.02, mean=-0.2289, std=3.84, absmax=16.02 +2025-10-31 16:25:50,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.86, max=9.201, mean=-0.2289, std=3.282, absmax=12.86 +2025-10-31 16:25:51,101 ERROR: Encountered non-finite generator loss at iter 2064; skipping update. +2025-10-31 16:25:51,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:51,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:51,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.91, mean=-0.283, std=2.898, absmax=13.03 +2025-10-31 16:25:51,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=8.566, mean=-0.2343, std=2.268, absmax=11.35 +2025-10-31 16:25:51,604 ERROR: Encountered non-finite generator loss at iter 2065; skipping update. +2025-10-31 16:25:51,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:51,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:51,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:51,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:51,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=10.8, mean=-0.1737, std=2.687, absmax=13.47 +2025-10-31 16:25:51,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.964, mean=-0.1722, std=2.328, absmax=10.81 +2025-10-31 16:25:52,109 ERROR: Encountered non-finite generator loss at iter 2066; skipping update. +2025-10-31 16:25:52,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:52,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:52,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.97, mean=-0.1749, std=3.407, absmax=14.81 +2025-10-31 16:25:52,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.24, mean=-0.1887, std=2.845, absmax=12.1 +2025-10-31 16:25:52,614 ERROR: Encountered non-finite generator loss at iter 2067; skipping update. +2025-10-31 16:25:52,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:52,622 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:52,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:52,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:52,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.78, mean=0.08675, std=3.128, absmax=14.78 +2025-10-31 16:25:52,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=12.91, mean=0.06814, std=2.734, absmax=12.91 +2025-10-31 16:25:53,117 ERROR: Encountered non-finite generator loss at iter 2068; skipping update. +2025-10-31 16:25:53,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:53,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:53,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.92, mean=-0.1139, std=3.074, absmax=13.01 +2025-10-31 16:25:53,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.981, max=9.382, mean=-0.1065, std=2.601, absmax=9.981 +2025-10-31 16:25:53,620 ERROR: Encountered non-finite generator loss at iter 2069; skipping update. +2025-10-31 16:25:53,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:53,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:53,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:53,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:53,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.7, mean=-0.2086, std=2.582, absmax=12.64 +2025-10-31 16:25:53,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.311, max=8.456, mean=-0.2115, std=2.09, absmax=8.456 +2025-10-31 16:25:54,122 ERROR: Encountered non-finite generator loss at iter 2070; skipping update. +2025-10-31 16:25:54,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:54,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:54,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.55, mean=-0.2173, std=2.866, absmax=13.55 +2025-10-31 16:25:54,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=8.814, mean=-0.2538, std=2.438, absmax=11.07 +2025-10-31 16:25:54,622 ERROR: Encountered non-finite generator loss at iter 2071; skipping update. +2025-10-31 16:25:54,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:54,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:54,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:54,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:54,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.08, mean=-0.09687, std=3.57, absmax=14.73 +2025-10-31 16:25:54,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=12.14, mean=-0.1047, std=3.062, absmax=12.14 +2025-10-31 16:25:55,120 ERROR: Encountered non-finite generator loss at iter 2072; skipping update. +2025-10-31 16:25:55,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:55,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:55,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=15.14, mean=-0.3329, std=2.673, absmax=15.14 +2025-10-31 16:25:55,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.548, max=9.958, mean=-0.2915, std=2.256, absmax=9.958 +2025-10-31 16:25:55,621 ERROR: Encountered non-finite generator loss at iter 2073; skipping update. +2025-10-31 16:25:55,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:55,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:55,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:55,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:55,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.06, mean=-0.1449, std=3.27, absmax=15.06 +2025-10-31 16:25:55,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.29, mean=-0.09437, std=2.72, absmax=10.29 +2025-10-31 16:25:56,122 ERROR: Encountered non-finite generator loss at iter 2074; skipping update. +2025-10-31 16:25:56,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:56,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:56,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=16.64, mean=-0.1626, std=3.255, absmax=16.64 +2025-10-31 16:25:56,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.23, mean=-0.1507, std=2.827, absmax=11.63 +2025-10-31 16:25:56,623 ERROR: Encountered non-finite generator loss at iter 2075; skipping update. +2025-10-31 16:25:56,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:56,629 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:56,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:56,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:56,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12.01, mean=-0.2705, std=3.019, absmax=14.22 +2025-10-31 16:25:56,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.718, mean=-0.3094, std=2.714, absmax=10.88 +2025-10-31 16:25:57,125 ERROR: Encountered non-finite generator loss at iter 2076; skipping update. +2025-10-31 16:25:57,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,129 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:57,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:57,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.19, mean=0.08632, std=3.475, absmax=14.19 +2025-10-31 16:25:57,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=12.55, mean=0.01919, std=2.889, absmax=12.55 +2025-10-31 16:25:57,625 ERROR: Encountered non-finite generator loss at iter 2077; skipping update. +2025-10-31 16:25:57,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:57,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:57,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:57,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:57,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=16.06, mean=0.00202, std=3.087, absmax=16.06 +2025-10-31 16:25:57,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=11.71, mean=0.04817, std=2.599, absmax=11.71 +2025-10-31 16:25:58,128 ERROR: Encountered non-finite generator loss at iter 2078; skipping update. +2025-10-31 16:25:58,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:58,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:58,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.38, mean=-0.1538, std=3.489, absmax=13.88 +2025-10-31 16:25:58,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=12.45, mean=-0.01081, std=3.053, absmax=12.45 +2025-10-31 16:25:58,631 ERROR: Encountered non-finite generator loss at iter 2079; skipping update. +2025-10-31 16:25:58,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:58,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:58,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:58,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:58,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.44, mean=-0.07381, std=2.98, absmax=12.44 +2025-10-31 16:25:58,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.509, max=9.667, mean=-0.008122, std=2.618, absmax=9.667 +2025-10-31 16:25:59,133 ERROR: Encountered non-finite generator loss at iter 2080; skipping update. +2025-10-31 16:25:59,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,135 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:59,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:59,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.79, mean=-0.2145, std=2.743, absmax=13.79 +2025-10-31 16:25:59,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.731, max=10.46, mean=-0.207, std=2.318, absmax=10.46 +2025-10-31 16:25:59,635 ERROR: Encountered non-finite generator loss at iter 2081; skipping update. +2025-10-31 16:25:59,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:25:59,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:25:59,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:25:59,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:25:59,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=19.13, mean=-0.3298, std=3.315, absmax=19.13 +2025-10-31 16:25:59,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.986, max=14.21, mean=-0.2973, std=2.606, absmax=14.21 +2025-10-31 16:26:00,137 ERROR: Encountered non-finite generator loss at iter 2082; skipping update. +2025-10-31 16:26:00,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:00,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:00,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.18, mean=-0.1626, std=2.655, absmax=12.33 +2025-10-31 16:26:00,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.082, max=7.797, mean=-0.131, std=2.298, absmax=9.082 +2025-10-31 16:26:00,638 ERROR: Encountered non-finite generator loss at iter 2083; skipping update. +2025-10-31 16:26:00,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:00,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:00,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:00,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:00,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.29, mean=-0.1401, std=2.924, absmax=12.29 +2025-10-31 16:26:00,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.439, max=8.864, mean=-0.1424, std=2.303, absmax=9.439 +2025-10-31 16:26:01,141 ERROR: Encountered non-finite generator loss at iter 2084; skipping update. +2025-10-31 16:26:01,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:01,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:01,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15, mean=0.2809, std=3.693, absmax=15 +2025-10-31 16:26:01,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=12.07, mean=0.2321, std=3.093, absmax=12.07 +2025-10-31 16:26:01,645 ERROR: Encountered non-finite generator loss at iter 2085; skipping update. +2025-10-31 16:26:01,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:01,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:01,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:01,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:01,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.96, mean=-0.2305, std=3.514, absmax=15.96 +2025-10-31 16:26:01,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=11.1, mean=-0.2138, std=2.932, absmax=11.1 +2025-10-31 16:26:02,150 ERROR: Encountered non-finite generator loss at iter 2086; skipping update. +2025-10-31 16:26:02,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:02,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:02,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.64, max=15.46, mean=-0.1725, std=3.134, absmax=16.64 +2025-10-31 16:26:02,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=11.52, mean=-0.1424, std=2.515, absmax=12.33 +2025-10-31 16:26:02,650 ERROR: Encountered non-finite generator loss at iter 2087; skipping update. +2025-10-31 16:26:02,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:02,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:02,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:02,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:02,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.13, mean=-0.2982, std=2.768, absmax=12.35 +2025-10-31 16:26:02,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=8.053, mean=-0.241, std=2.325, absmax=9.646 +2025-10-31 16:26:03,155 ERROR: Encountered non-finite generator loss at iter 2088; skipping update. +2025-10-31 16:26:03,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:03,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:03,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.75, mean=-0.177, std=2.95, absmax=12.94 +2025-10-31 16:26:03,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.718, max=9.839, mean=-0.1438, std=2.437, absmax=9.839 +2025-10-31 16:26:03,658 ERROR: Encountered non-finite generator loss at iter 2089; skipping update. +2025-10-31 16:26:03,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:03,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:03,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:03,666 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:03,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=10.89, mean=-0.2816, std=2.521, absmax=11.47 +2025-10-31 16:26:03,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.62, max=9.266, mean=-0.2841, std=2.175, absmax=9.62 +2025-10-31 16:26:04,161 ERROR: Encountered non-finite generator loss at iter 2090; skipping update. +2025-10-31 16:26:04,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:04,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:04,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=9.714, mean=-0.3845, std=2.622, absmax=11.86 +2025-10-31 16:26:04,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=7.875, mean=-0.3151, std=2.254, absmax=10.37 +2025-10-31 16:26:04,664 ERROR: Encountered non-finite generator loss at iter 2091; skipping update. +2025-10-31 16:26:04,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:04,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:04,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:04,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:04,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.75, mean=-0.215, std=2.783, absmax=12.75 +2025-10-31 16:26:04,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.942, mean=-0.2335, std=2.218, absmax=10.72 +2025-10-31 16:26:05,169 ERROR: Encountered non-finite generator loss at iter 2092; skipping update. +2025-10-31 16:26:05,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:05,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:05,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.91, mean=-0.3404, std=3.315, absmax=13.36 +2025-10-31 16:26:05,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.008, mean=-0.2981, std=2.964, absmax=11.83 +2025-10-31 16:26:05,674 ERROR: Encountered non-finite generator loss at iter 2093; skipping update. +2025-10-31 16:26:05,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:05,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:05,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:05,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:05,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=14.25, mean=-0.07533, std=3.088, absmax=14.25 +2025-10-31 16:26:05,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.38, mean=-0.1056, std=2.558, absmax=11.38 +2025-10-31 16:26:06,174 ERROR: Encountered non-finite generator loss at iter 2094; skipping update. +2025-10-31 16:26:06,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:06,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:06,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.43, mean=-0.06873, std=2.843, absmax=14.43 +2025-10-31 16:26:06,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.39, mean=-0.1091, std=2.263, absmax=11.16 +2025-10-31 16:26:06,674 ERROR: Encountered non-finite generator loss at iter 2095; skipping update. +2025-10-31 16:26:06,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:06,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:06,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:06,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:06,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.8, mean=-0.1095, std=2.648, absmax=12.31 +2025-10-31 16:26:06,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.302, max=8.602, mean=-0.1317, std=2.263, absmax=9.302 +2025-10-31 16:26:07,177 ERROR: Encountered non-finite generator loss at iter 2096; skipping update. +2025-10-31 16:26:07,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:07,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:07,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.56, mean=-0.1545, std=2.813, absmax=11.56 +2025-10-31 16:26:07,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=11.5, mean=-0.1692, std=2.602, absmax=11.5 +2025-10-31 16:26:07,680 ERROR: Encountered non-finite generator loss at iter 2097; skipping update. +2025-10-31 16:26:07,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:07,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:07,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:07,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:07,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=15.92, mean=0.1932, std=3.74, absmax=15.92 +2025-10-31 16:26:07,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.636, max=14.78, mean=0.1183, std=3.169, absmax=14.78 +2025-10-31 16:26:08,183 ERROR: Encountered non-finite generator loss at iter 2098; skipping update. +2025-10-31 16:26:08,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:08,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:08,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.4, mean=-0.2825, std=2.239, absmax=11.12 +2025-10-31 16:26:08,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.694, max=7.395, mean=-0.2356, std=1.972, absmax=8.694 +2025-10-31 16:26:08,684 ERROR: Encountered non-finite generator loss at iter 2099; skipping update. +2025-10-31 16:26:08,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:08,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:08,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:08,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:08,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=12.9, mean=-0.2387, std=2.84, absmax=12.9 +2025-10-31 16:26:08,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.809, mean=-0.227, std=2.445, absmax=10.01 +2025-10-31 16:26:09,190 ERROR: Encountered non-finite generator loss at iter 2100; skipping update. +2025-10-31 16:26:09,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:09,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:09,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.53, mean=-0.1622, std=3.459, absmax=14.53 +2025-10-31 16:26:09,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=11.67, mean=-0.114, std=2.914, absmax=11.67 +2025-10-31 16:26:09,203 INFO: [29..][epoch: 0, step: 2,100, lr:(1.500e-04,)] [eta: 1 day, 19:32:23, time (data): 0.503 (0.000)] +2025-10-31 16:26:09,698 ERROR: Encountered non-finite generator loss at iter 2101; skipping update. +2025-10-31 16:26:09,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:09,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:09,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:09,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:09,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.23, mean=-0.1024, std=3.019, absmax=12.23 +2025-10-31 16:26:09,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.41, mean=-0.1275, std=2.567, absmax=11.41 +2025-10-31 16:26:10,202 ERROR: Encountered non-finite generator loss at iter 2102; skipping update. +2025-10-31 16:26:10,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:10,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:10,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.5, mean=-0.2031, std=2.768, absmax=11.93 +2025-10-31 16:26:10,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.137, max=8.35, mean=-0.1609, std=2.266, absmax=9.137 +2025-10-31 16:26:10,704 ERROR: Encountered non-finite generator loss at iter 2103; skipping update. +2025-10-31 16:26:10,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:10,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:10,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:10,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:10,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.22, mean=-0.06792, std=3.371, absmax=13.1 +2025-10-31 16:26:10,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=9.319, mean=-0.08966, std=2.879, absmax=12.06 +2025-10-31 16:26:11,205 ERROR: Encountered non-finite generator loss at iter 2104; skipping update. +2025-10-31 16:26:11,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:11,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:11,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.39, mean=0.1472, std=3.667, absmax=13.39 +2025-10-31 16:26:11,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=11.6, mean=0.06844, std=3.064, absmax=11.6 +2025-10-31 16:26:11,710 ERROR: Encountered non-finite generator loss at iter 2105; skipping update. +2025-10-31 16:26:11,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:11,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:11,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:11,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:11,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.69, mean=-0.2115, std=2.62, absmax=13.32 +2025-10-31 16:26:11,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=8.101, mean=-0.2299, std=2.203, absmax=9.655 +2025-10-31 16:26:12,213 ERROR: Encountered non-finite generator loss at iter 2106; skipping update. +2025-10-31 16:26:12,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:12,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:12,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.55, mean=-0.1566, std=2.632, absmax=12.55 +2025-10-31 16:26:12,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.388, max=9.07, mean=-0.2028, std=2.182, absmax=9.07 +2025-10-31 16:26:12,719 ERROR: Encountered non-finite generator loss at iter 2107; skipping update. +2025-10-31 16:26:12,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:12,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:12,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:12,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:12,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=12.88, mean=-0.1397, std=2.455, absmax=12.88 +2025-10-31 16:26:12,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.549, max=9.409, mean=-0.1427, std=2.021, absmax=9.409 +2025-10-31 16:26:13,223 ERROR: Encountered non-finite generator loss at iter 2108; skipping update. +2025-10-31 16:26:13,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:13,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:13,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.21, mean=-0.3688, std=3.418, absmax=13.41 +2025-10-31 16:26:13,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=8.482, mean=-0.3437, std=2.876, absmax=10.86 +2025-10-31 16:26:13,729 ERROR: Encountered non-finite generator loss at iter 2109; skipping update. +2025-10-31 16:26:13,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:13,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:13,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:13,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:13,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=11.69, mean=-0.1776, std=2.968, absmax=13.92 +2025-10-31 16:26:13,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=11.41, mean=-0.1142, std=2.639, absmax=12.16 +2025-10-31 16:26:14,234 ERROR: Encountered non-finite generator loss at iter 2110; skipping update. +2025-10-31 16:26:14,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:14,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:14,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.84, mean=-0.213, std=2.881, absmax=13.3 +2025-10-31 16:26:14,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=8.308, mean=-0.2284, std=2.449, absmax=12.02 +2025-10-31 16:26:14,737 ERROR: Encountered non-finite generator loss at iter 2111; skipping update. +2025-10-31 16:26:14,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:14,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:14,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:14,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:14,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.58, mean=-0.1055, std=3.085, absmax=12.75 +2025-10-31 16:26:14,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=9.603, mean=-0.1024, std=2.58, absmax=11.32 +2025-10-31 16:26:15,242 ERROR: Encountered non-finite generator loss at iter 2112; skipping update. +2025-10-31 16:26:15,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:15,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:15,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.47, mean=-0.2338, std=3.175, absmax=14.47 +2025-10-31 16:26:15,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=9.068, mean=-0.2315, std=2.639, absmax=11.15 +2025-10-31 16:26:15,748 ERROR: Encountered non-finite generator loss at iter 2113; skipping update. +2025-10-31 16:26:15,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:15,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:15,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:15,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:15,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=15.45, mean=-0.1527, std=2.865, absmax=15.45 +2025-10-31 16:26:15,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.314, max=13.22, mean=-0.1843, std=2.39, absmax=13.22 +2025-10-31 16:26:16,253 ERROR: Encountered non-finite generator loss at iter 2114; skipping update. +2025-10-31 16:26:16,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:16,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:16,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.3, mean=-0.1649, std=3.033, absmax=12.97 +2025-10-31 16:26:16,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.889, max=9.551, mean=-0.1865, std=2.703, absmax=9.889 +2025-10-31 16:26:16,758 ERROR: Encountered non-finite generator loss at iter 2115; skipping update. +2025-10-31 16:26:16,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:16,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:16,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:16,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:16,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=18.93, mean=-0.008468, std=3.861, absmax=18.93 +2025-10-31 16:26:16,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=15.2, mean=-0.01061, std=3.463, absmax=15.2 +2025-10-31 16:26:17,262 ERROR: Encountered non-finite generator loss at iter 2116; skipping update. +2025-10-31 16:26:17,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:17,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:17,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.85, mean=-0.2245, std=3.125, absmax=13.85 +2025-10-31 16:26:17,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=10.22, mean=-0.1835, std=2.553, absmax=10.72 +2025-10-31 16:26:17,765 ERROR: Encountered non-finite generator loss at iter 2117; skipping update. +2025-10-31 16:26:17,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:17,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:17,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:17,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:17,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.1, mean=-0.132, std=2.995, absmax=12.42 +2025-10-31 16:26:17,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=8.996, mean=-0.1436, std=2.53, absmax=10.58 +2025-10-31 16:26:18,268 ERROR: Encountered non-finite generator loss at iter 2118; skipping update. +2025-10-31 16:26:18,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:18,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:18,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.79, mean=0.05876, std=2.938, absmax=12.79 +2025-10-31 16:26:18,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.22, max=10.89, mean=0.02401, std=2.623, absmax=12.22 +2025-10-31 16:26:18,772 ERROR: Encountered non-finite generator loss at iter 2119; skipping update. +2025-10-31 16:26:18,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:18,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:18,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:18,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:18,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=16.21, mean=-0.06436, std=2.733, absmax=16.21 +2025-10-31 16:26:18,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.932, mean=-0.05645, std=2.329, absmax=10.95 +2025-10-31 16:26:19,279 ERROR: Encountered non-finite generator loss at iter 2120; skipping update. +2025-10-31 16:26:19,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:19,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:19,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.6, mean=0.1252, std=3.351, absmax=14.6 +2025-10-31 16:26:19,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=10.98, mean=0.09715, std=2.74, absmax=11.49 +2025-10-31 16:26:19,786 ERROR: Encountered non-finite generator loss at iter 2121; skipping update. +2025-10-31 16:26:19,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:19,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:19,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:19,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:19,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.23, mean=-0.1406, std=2.93, absmax=12.44 +2025-10-31 16:26:19,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.647, mean=-0.1056, std=2.508, absmax=10.07 +2025-10-31 16:26:20,290 ERROR: Encountered non-finite generator loss at iter 2122; skipping update. +2025-10-31 16:26:20,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:20,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:20,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.26, mean=-0.1333, std=3.171, absmax=13.34 +2025-10-31 16:26:20,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=12.22, mean=-0.1692, std=2.783, absmax=12.22 +2025-10-31 16:26:20,796 ERROR: Encountered non-finite generator loss at iter 2123; skipping update. +2025-10-31 16:26:20,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:20,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:20,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:20,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:20,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.41, mean=-0.4094, std=3.09, absmax=13.21 +2025-10-31 16:26:20,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.93, max=9.127, mean=-0.3884, std=2.461, absmax=9.93 +2025-10-31 16:26:21,299 ERROR: Encountered non-finite generator loss at iter 2124; skipping update. +2025-10-31 16:26:21,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:21,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:21,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.56, mean=-0.1796, std=2.672, absmax=13.45 +2025-10-31 16:26:21,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.697, max=9.738, mean=-0.153, std=2.156, absmax=9.738 +2025-10-31 16:26:21,810 ERROR: Encountered non-finite generator loss at iter 2125; skipping update. +2025-10-31 16:26:21,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:21,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:21,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:21,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:21,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.01, max=14.81, mean=-0.225, std=3.414, absmax=18.01 +2025-10-31 16:26:21,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=10.01, mean=-0.2718, std=3.135, absmax=11.58 +2025-10-31 16:26:22,316 ERROR: Encountered non-finite generator loss at iter 2126; skipping update. +2025-10-31 16:26:22,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:22,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:22,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.59, mean=-0.2085, std=2.818, absmax=13.59 +2025-10-31 16:26:22,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.5, mean=-0.1985, std=2.437, absmax=10.9 +2025-10-31 16:26:22,820 ERROR: Encountered non-finite generator loss at iter 2127; skipping update. +2025-10-31 16:26:22,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:22,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:22,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:22,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:22,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.53, max=14.69, mean=-0.01871, std=4.115, absmax=19.53 +2025-10-31 16:26:22,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.79, max=12.23, mean=-0.07312, std=3.452, absmax=13.79 +2025-10-31 16:26:23,324 ERROR: Encountered non-finite generator loss at iter 2128; skipping update. +2025-10-31 16:26:23,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:23,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:23,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.75, mean=-0.1056, std=3.362, absmax=12.85 +2025-10-31 16:26:23,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.693, mean=-0.1368, std=2.7, absmax=10.26 +2025-10-31 16:26:23,827 ERROR: Encountered non-finite generator loss at iter 2129; skipping update. +2025-10-31 16:26:23,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,833 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:23,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:23,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:23,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:23,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=13.61, mean=-0.07804, std=2.73, absmax=14.66 +2025-10-31 16:26:23,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.18, mean=-0.1246, std=2.253, absmax=11.18 +2025-10-31 16:26:24,330 ERROR: Encountered non-finite generator loss at iter 2130; skipping update. +2025-10-31 16:26:24,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:24,338 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:24,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.33, mean=-0.3381, std=3.486, absmax=16.33 +2025-10-31 16:26:24,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=14.55, mean=-0.3078, std=3.014, absmax=14.55 +2025-10-31 16:26:24,834 ERROR: Encountered non-finite generator loss at iter 2131; skipping update. +2025-10-31 16:26:24,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:24,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:24,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:24,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:24,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.52, mean=-0.1104, std=2.697, absmax=12.52 +2025-10-31 16:26:24,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.388, max=8.324, mean=-0.1369, std=2.249, absmax=9.388 +2025-10-31 16:26:25,337 ERROR: Encountered non-finite generator loss at iter 2132; skipping update. +2025-10-31 16:26:25,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:25,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:25,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.23, mean=-0.3252, std=3.025, absmax=14.23 +2025-10-31 16:26:25,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.648, max=9.333, mean=-0.2842, std=2.467, absmax=9.648 +2025-10-31 16:26:25,847 ERROR: Encountered non-finite generator loss at iter 2133; skipping update. +2025-10-31 16:26:25,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:25,853 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:25,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:25,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:25,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.84, mean=-0.2217, std=3.045, absmax=12.84 +2025-10-31 16:26:25,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.743, max=9.62, mean=-0.2309, std=2.473, absmax=9.743 +2025-10-31 16:26:26,351 ERROR: Encountered non-finite generator loss at iter 2134; skipping update. +2025-10-31 16:26:26,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,356 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:26,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:26,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.67, mean=-0.1848, std=2.918, absmax=13.67 +2025-10-31 16:26:26,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.879, mean=-0.1985, std=2.532, absmax=10.3 +2025-10-31 16:26:26,856 ERROR: Encountered non-finite generator loss at iter 2135; skipping update. +2025-10-31 16:26:26,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,860 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:26,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:26,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:26,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:26,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=15.96, mean=-0.1926, std=2.788, absmax=15.96 +2025-10-31 16:26:26,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.49, max=10.78, mean=-0.2075, std=2.421, absmax=10.78 +2025-10-31 16:26:27,360 ERROR: Encountered non-finite generator loss at iter 2136; skipping update. +2025-10-31 16:26:27,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,367 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:27,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:27,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.25, mean=-0.1725, std=3.032, absmax=13.28 +2025-10-31 16:26:27,370 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=10.71, mean=-0.1733, std=2.68, absmax=10.71 +2025-10-31 16:26:27,864 ERROR: Encountered non-finite generator loss at iter 2137; skipping update. +2025-10-31 16:26:27,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:27,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:27,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:27,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:27,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.78, mean=-0.1601, std=3.428, absmax=13.94 +2025-10-31 16:26:27,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=10.82, mean=-0.2146, std=2.832, absmax=11.54 +2025-10-31 16:26:28,369 ERROR: Encountered non-finite generator loss at iter 2138; skipping update. +2025-10-31 16:26:28,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:28,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:28,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=13.73, mean=-0.0547, std=2.712, absmax=13.73 +2025-10-31 16:26:28,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.724, max=9.804, mean=-0.09642, std=2.288, absmax=9.804 +2025-10-31 16:26:28,875 ERROR: Encountered non-finite generator loss at iter 2139; skipping update. +2025-10-31 16:26:28,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:28,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:28,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:28,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:28,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.18, mean=-0.2879, std=3.299, absmax=13.22 +2025-10-31 16:26:28,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=8.404, mean=-0.2589, std=2.674, absmax=11.32 +2025-10-31 16:26:29,378 ERROR: Encountered non-finite generator loss at iter 2140; skipping update. +2025-10-31 16:26:29,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:29,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:29,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.38, max=14, mean=-0.124, std=3.13, absmax=16.38 +2025-10-31 16:26:29,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=11.07, mean=-0.1398, std=2.711, absmax=12.26 +2025-10-31 16:26:29,889 ERROR: Encountered non-finite generator loss at iter 2141; skipping update. +2025-10-31 16:26:29,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:29,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:29,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:29,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:29,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.49, mean=-0.1621, std=3.189, absmax=14.14 +2025-10-31 16:26:29,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=9.867, mean=-0.2384, std=2.628, absmax=11.09 +2025-10-31 16:26:30,393 ERROR: Encountered non-finite generator loss at iter 2142; skipping update. +2025-10-31 16:26:30,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,398 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:30,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:30,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.88, mean=-0.2169, std=2.805, absmax=12.88 +2025-10-31 16:26:30,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.577, max=9.665, mean=-0.1928, std=2.429, absmax=9.665 +2025-10-31 16:26:30,901 ERROR: Encountered non-finite generator loss at iter 2143; skipping update. +2025-10-31 16:26:30,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:30,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:30,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:30,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:30,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.24, mean=-0.08524, std=3.544, absmax=15.24 +2025-10-31 16:26:30,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=11.86, mean=-0.117, std=2.987, absmax=12.38 +2025-10-31 16:26:31,400 ERROR: Encountered non-finite generator loss at iter 2144; skipping update. +2025-10-31 16:26:31,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:31,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:31,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=15.38, mean=-0.1034, std=2.781, absmax=15.38 +2025-10-31 16:26:31,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.823, max=10.59, mean=-0.0956, std=2.372, absmax=10.59 +2025-10-31 16:26:31,908 ERROR: Encountered non-finite generator loss at iter 2145; skipping update. +2025-10-31 16:26:31,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:31,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:31,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:31,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:31,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.01, mean=-0.2359, std=2.676, absmax=12.79 +2025-10-31 16:26:31,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.218, max=8.626, mean=-0.2476, std=2.196, absmax=9.218 +2025-10-31 16:26:32,411 ERROR: Encountered non-finite generator loss at iter 2146; skipping update. +2025-10-31 16:26:32,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:32,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:32,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.5, mean=-0.04319, std=3.186, absmax=13.5 +2025-10-31 16:26:32,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=10.3, mean=-0.06968, std=2.584, absmax=10.3 +2025-10-31 16:26:32,914 ERROR: Encountered non-finite generator loss at iter 2147; skipping update. +2025-10-31 16:26:32,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,916 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:32,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:32,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:32,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:32,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=16.53, mean=-0.1637, std=2.799, absmax=16.53 +2025-10-31 16:26:32,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=7.805, mean=-0.1934, std=2.322, absmax=9.567 +2025-10-31 16:26:33,417 ERROR: Encountered non-finite generator loss at iter 2148; skipping update. +2025-10-31 16:26:33,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,420 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,421 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,422 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:33,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:33,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.29, mean=-0.1155, std=3.506, absmax=15.29 +2025-10-31 16:26:33,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=14.07, mean=-0.1142, std=3.139, absmax=14.07 +2025-10-31 16:26:33,920 ERROR: Encountered non-finite generator loss at iter 2149; skipping update. +2025-10-31 16:26:33,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:33,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:33,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:33,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:33,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.06, mean=0.2047, std=3.68, absmax=15.06 +2025-10-31 16:26:33,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=11.99, mean=0.1192, std=2.955, absmax=11.99 +2025-10-31 16:26:34,423 ERROR: Encountered non-finite generator loss at iter 2150; skipping update. +2025-10-31 16:26:34,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:34,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:34,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.65, mean=-0.05873, std=2.928, absmax=13.65 +2025-10-31 16:26:34,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.128, max=11.38, mean=-0.08029, std=2.427, absmax=11.38 +2025-10-31 16:26:34,927 ERROR: Encountered non-finite generator loss at iter 2151; skipping update. +2025-10-31 16:26:34,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:34,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:34,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:34,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:34,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.08, mean=-0.2961, std=2.86, absmax=13.01 +2025-10-31 16:26:34,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=7.889, mean=-0.319, std=2.44, absmax=11.29 +2025-10-31 16:26:35,429 ERROR: Encountered non-finite generator loss at iter 2152; skipping update. +2025-10-31 16:26:35,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:35,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:35,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.26, mean=-0.1982, std=2.574, absmax=13.26 +2025-10-31 16:26:35,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=13.69, mean=-0.1816, std=2.265, absmax=13.69 +2025-10-31 16:26:35,932 ERROR: Encountered non-finite generator loss at iter 2153; skipping update. +2025-10-31 16:26:35,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:35,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:35,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:35,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:35,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=13.4, mean=0.09936, std=3.015, absmax=14.61 +2025-10-31 16:26:35,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=12.2, mean=0.07357, std=2.657, absmax=12.2 +2025-10-31 16:26:36,438 ERROR: Encountered non-finite generator loss at iter 2154; skipping update. +2025-10-31 16:26:36,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:36,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:36,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=10.26, mean=-0.1601, std=2.445, absmax=11.09 +2025-10-31 16:26:36,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.634, max=8.23, mean=-0.1665, std=2.037, absmax=9.634 +2025-10-31 16:26:36,941 ERROR: Encountered non-finite generator loss at iter 2155; skipping update. +2025-10-31 16:26:36,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:36,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:36,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:36,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:36,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.56, mean=-0.2173, std=2.876, absmax=12.51 +2025-10-31 16:26:36,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=7.993, mean=-0.2125, std=2.371, absmax=10.54 +2025-10-31 16:26:37,445 ERROR: Encountered non-finite generator loss at iter 2156; skipping update. +2025-10-31 16:26:37,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:37,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:37,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=11.72, mean=-0.08704, std=2.608, absmax=15.06 +2025-10-31 16:26:37,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.92, max=10.62, mean=-0.1613, std=2.227, absmax=12.92 +2025-10-31 16:26:37,948 ERROR: Encountered non-finite generator loss at iter 2157; skipping update. +2025-10-31 16:26:37,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:37,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:37,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:37,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:37,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.69, mean=-0.3473, std=3.426, absmax=14.69 +2025-10-31 16:26:37,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=9.317, mean=-0.3375, std=2.894, absmax=11.46 +2025-10-31 16:26:38,452 ERROR: Encountered non-finite generator loss at iter 2158; skipping update. +2025-10-31 16:26:38,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:38,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:38,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=13.57, mean=-0.2059, std=3.332, absmax=14.78 +2025-10-31 16:26:38,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.51, mean=-0.1917, std=2.835, absmax=11.51 +2025-10-31 16:26:38,957 ERROR: Encountered non-finite generator loss at iter 2159; skipping update. +2025-10-31 16:26:38,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:38,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:38,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:38,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:38,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.85, mean=-0.0753, std=3.228, absmax=14.85 +2025-10-31 16:26:38,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.112, max=12.35, mean=-0.1365, std=2.571, absmax=12.35 +2025-10-31 16:26:39,460 ERROR: Encountered non-finite generator loss at iter 2160; skipping update. +2025-10-31 16:26:39,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:39,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:39,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.98, mean=-0.1709, std=3.335, absmax=12.98 +2025-10-31 16:26:39,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.574, mean=-0.2057, std=2.742, absmax=10.17 +2025-10-31 16:26:39,964 ERROR: Encountered non-finite generator loss at iter 2161; skipping update. +2025-10-31 16:26:39,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:39,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:39,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:39,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:39,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.5, max=13.64, mean=-0.2308, std=3.56, absmax=17.5 +2025-10-31 16:26:39,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.94, mean=-0.24, std=2.81, absmax=11.82 +2025-10-31 16:26:40,472 ERROR: Encountered non-finite generator loss at iter 2162; skipping update. +2025-10-31 16:26:40,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:40,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:40,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.53, mean=0.1442, std=3.339, absmax=13.53 +2025-10-31 16:26:40,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.105, max=10.07, mean=0.1157, std=2.764, absmax=10.07 +2025-10-31 16:26:40,976 ERROR: Encountered non-finite generator loss at iter 2163; skipping update. +2025-10-31 16:26:40,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:40,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:40,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:40,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:40,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.41, mean=-0.1173, std=3.194, absmax=14.41 +2025-10-31 16:26:40,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.7, mean=-0.1109, std=2.714, absmax=11.7 +2025-10-31 16:26:41,477 ERROR: Encountered non-finite generator loss at iter 2164; skipping update. +2025-10-31 16:26:41,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:41,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:41,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=14.87, mean=0.03284, std=3.526, absmax=15.32 +2025-10-31 16:26:41,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=13.14, mean=0.001355, std=3.046, absmax=13.14 +2025-10-31 16:26:41,982 ERROR: Encountered non-finite generator loss at iter 2165; skipping update. +2025-10-31 16:26:41,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:41,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:41,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:41,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:41,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=13.01, mean=-0.07679, std=3.591, absmax=14.82 +2025-10-31 16:26:41,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.03, mean=-0.08381, std=2.897, absmax=11.06 +2025-10-31 16:26:42,489 ERROR: Encountered non-finite generator loss at iter 2166; skipping update. +2025-10-31 16:26:42,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:42,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:42,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:42,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:42,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:42,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.06, mean=-0.1358, std=2.588, absmax=11.85 +2025-10-31 16:26:42,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.288, max=7.415, mean=-0.1914, std=2.166, absmax=9.288 +2025-10-31 16:26:42,993 ERROR: Encountered non-finite generator loss at iter 2167; skipping update. +2025-10-31 16:26:42,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:42,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:42,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:42,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:43,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:43,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:43,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.51, mean=-0.2315, std=2.963, absmax=13.92 +2025-10-31 16:26:43,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.737, max=9.353, mean=-0.198, std=2.304, absmax=9.737 +2025-10-31 16:26:43,498 ERROR: Encountered non-finite generator loss at iter 2168; skipping update. +2025-10-31 16:26:43,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:43,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:43,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:43,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:43,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:43,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:43,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:43,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:43,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.35, mean=-0.1984, std=2.744, absmax=13.35 +2025-10-31 16:26:43,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.28, mean=-0.1921, std=2.332, absmax=11.28 +2025-10-31 16:26:44,002 ERROR: Encountered non-finite generator loss at iter 2169; skipping update. +2025-10-31 16:26:44,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:44,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:44,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.98, mean=-0.1966, std=2.602, absmax=12.98 +2025-10-31 16:26:44,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=8.387, mean=-0.2197, std=2.301, absmax=9.703 +2025-10-31 16:26:44,505 ERROR: Encountered non-finite generator loss at iter 2170; skipping update. +2025-10-31 16:26:44,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:44,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:44,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:44,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:44,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.13, mean=-0.2373, std=2.519, absmax=13.13 +2025-10-31 16:26:44,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.397, max=9.08, mean=-0.2026, std=2.09, absmax=9.397 +2025-10-31 16:26:45,010 ERROR: Encountered non-finite generator loss at iter 2171; skipping update. +2025-10-31 16:26:45,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,012 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,016 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,017 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:45,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:45,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.65, mean=-0.0456, std=2.981, absmax=12.58 +2025-10-31 16:26:45,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.19, mean=-0.06275, std=2.531, absmax=10.82 +2025-10-31 16:26:45,514 ERROR: Encountered non-finite generator loss at iter 2172; skipping update. +2025-10-31 16:26:45,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:45,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:45,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:45,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:45,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.31, mean=-0.2263, std=2.851, absmax=12.68 +2025-10-31 16:26:45,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=7.383, mean=-0.213, std=2.314, absmax=10.05 +2025-10-31 16:26:46,018 ERROR: Encountered non-finite generator loss at iter 2173; skipping update. +2025-10-31 16:26:46,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:46,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:46,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.84, mean=-0.1089, std=2.753, absmax=13.13 +2025-10-31 16:26:46,030 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.479, max=9.981, mean=-0.0907, std=2.202, absmax=9.981 +2025-10-31 16:26:46,523 ERROR: Encountered non-finite generator loss at iter 2174; skipping update. +2025-10-31 16:26:46,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:46,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:46,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:46,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:46,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.69, mean=-0.08929, std=2.593, absmax=12.4 +2025-10-31 16:26:46,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.189, max=9.336, mean=-0.1223, std=2.13, absmax=9.336 +2025-10-31 16:26:47,025 ERROR: Encountered non-finite generator loss at iter 2175; skipping update. +2025-10-31 16:26:47,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:47,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:47,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.39, mean=-0.05404, std=3.026, absmax=13.39 +2025-10-31 16:26:47,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=8.523, mean=-0.03455, std=2.531, absmax=11.92 +2025-10-31 16:26:47,527 ERROR: Encountered non-finite generator loss at iter 2176; skipping update. +2025-10-31 16:26:47,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:47,532 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:47,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:47,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:47,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.48, mean=-0.2988, std=2.517, absmax=13.48 +2025-10-31 16:26:47,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.989, max=10.2, mean=-0.2513, std=2.151, absmax=10.2 +2025-10-31 16:26:48,030 ERROR: Encountered non-finite generator loss at iter 2177; skipping update. +2025-10-31 16:26:48,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:48,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:48,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=17.64, mean=-0.3242, std=3.167, absmax=17.64 +2025-10-31 16:26:48,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=8.22, mean=-0.2993, std=2.494, absmax=11.91 +2025-10-31 16:26:48,531 ERROR: Encountered non-finite generator loss at iter 2178; skipping update. +2025-10-31 16:26:48,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:48,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:48,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:48,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:48,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.4, mean=-0.1205, std=3.032, absmax=12.79 +2025-10-31 16:26:48,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.527, max=10.39, mean=-0.1847, std=2.588, absmax=10.39 +2025-10-31 16:26:49,036 ERROR: Encountered non-finite generator loss at iter 2179; skipping update. +2025-10-31 16:26:49,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,045 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:49,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:49,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.98, mean=-0.2139, std=2.713, absmax=13.19 +2025-10-31 16:26:49,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.704, max=8.591, mean=-0.1871, std=2.288, absmax=9.704 +2025-10-31 16:26:49,539 ERROR: Encountered non-finite generator loss at iter 2180; skipping update. +2025-10-31 16:26:49,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:49,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:49,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:49,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:49,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.03, mean=-0.0376, std=3.089, absmax=16.03 +2025-10-31 16:26:49,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=10.17, mean=-0.0921, std=2.475, absmax=10.6 +2025-10-31 16:26:50,045 ERROR: Encountered non-finite generator loss at iter 2181; skipping update. +2025-10-31 16:26:50,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:50,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:50,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.47, mean=-0.2434, std=3.093, absmax=13.87 +2025-10-31 16:26:50,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.622, mean=-0.2133, std=2.43, absmax=10.42 +2025-10-31 16:26:50,549 ERROR: Encountered non-finite generator loss at iter 2182; skipping update. +2025-10-31 16:26:50,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,554 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,555 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:50,556 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:50,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:50,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:50,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.7, mean=-0.0004071, std=2.948, absmax=14.7 +2025-10-31 16:26:50,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.9, mean=-0.05587, std=2.428, absmax=11.9 +2025-10-31 16:26:51,052 ERROR: Encountered non-finite generator loss at iter 2183; skipping update. +2025-10-31 16:26:51,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:51,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:51,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.92, mean=-0.157, std=3.168, absmax=13.92 +2025-10-31 16:26:51,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.2, mean=-0.1784, std=2.781, absmax=11.83 +2025-10-31 16:26:51,556 ERROR: Encountered non-finite generator loss at iter 2184; skipping update. +2025-10-31 16:26:51,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:51,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:51,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:51,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:51,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.84, mean=-0.0845, std=3.136, absmax=14.84 +2025-10-31 16:26:51,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.615, max=10.45, mean=-0.1014, std=2.494, absmax=10.45 +2025-10-31 16:26:52,054 ERROR: Encountered non-finite generator loss at iter 2185; skipping update. +2025-10-31 16:26:52,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:52,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:52,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.29, mean=-0.04538, std=3.382, absmax=14.29 +2025-10-31 16:26:52,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.672, mean=-0.05008, std=2.615, absmax=10.56 +2025-10-31 16:26:52,554 ERROR: Encountered non-finite generator loss at iter 2186; skipping update. +2025-10-31 16:26:52,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:52,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:52,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:52,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:52,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.63, mean=-0.1666, std=2.693, absmax=13.63 +2025-10-31 16:26:52,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.537, max=8.641, mean=-0.1628, std=2.31, absmax=9.537 +2025-10-31 16:26:53,054 ERROR: Encountered non-finite generator loss at iter 2187; skipping update. +2025-10-31 16:26:53,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:53,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:53,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.69, mean=-0.33, std=2.773, absmax=11.88 +2025-10-31 16:26:53,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.378, max=7.36, mean=-0.3188, std=2.318, absmax=9.378 +2025-10-31 16:26:53,557 ERROR: Encountered non-finite generator loss at iter 2188; skipping update. +2025-10-31 16:26:53,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:53,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:53,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:53,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:53,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=10.51, mean=-0.3191, std=2.726, absmax=11.35 +2025-10-31 16:26:53,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.972, max=9.795, mean=-0.2732, std=2.502, absmax=9.972 +2025-10-31 16:26:54,057 ERROR: Encountered non-finite generator loss at iter 2189; skipping update. +2025-10-31 16:26:54,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:54,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:54,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.94, mean=-0.1521, std=2.644, absmax=13.94 +2025-10-31 16:26:54,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.389, max=8.797, mean=-0.1976, std=2.256, absmax=9.389 +2025-10-31 16:26:54,558 ERROR: Encountered non-finite generator loss at iter 2190; skipping update. +2025-10-31 16:26:54,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:54,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:54,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:54,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:54,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=11.83, mean=-0.168, std=2.879, absmax=13.85 +2025-10-31 16:26:54,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.317, mean=-0.1631, std=2.413, absmax=10.84 +2025-10-31 16:26:55,060 ERROR: Encountered non-finite generator loss at iter 2191; skipping update. +2025-10-31 16:26:55,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:55,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:55,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.22, mean=-0.2239, std=2.976, absmax=13.22 +2025-10-31 16:26:55,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.31, max=9.115, mean=-0.2597, std=2.463, absmax=12.31 +2025-10-31 16:26:55,558 ERROR: Encountered non-finite generator loss at iter 2192; skipping update. +2025-10-31 16:26:55,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:55,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:55,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:55,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:55,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.6, mean=-0.1117, std=2.98, absmax=12.6 +2025-10-31 16:26:55,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.938, mean=-0.1369, std=2.573, absmax=10.88 +2025-10-31 16:26:56,065 ERROR: Encountered non-finite generator loss at iter 2193; skipping update. +2025-10-31 16:26:56,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:56,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:56,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.94, mean=-0.007478, std=3.338, absmax=14.94 +2025-10-31 16:26:56,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.42, mean=-0.03039, std=2.981, absmax=12.1 +2025-10-31 16:26:56,570 ERROR: Encountered non-finite generator loss at iter 2194; skipping update. +2025-10-31 16:26:56,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:56,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:56,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:56,586 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:56,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.12, mean=-0.1245, std=2.934, absmax=13.12 +2025-10-31 16:26:56,588 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.17, mean=-0.1397, std=2.564, absmax=10.17 +2025-10-31 16:26:57,080 ERROR: Encountered non-finite generator loss at iter 2195; skipping update. +2025-10-31 16:26:57,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:57,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:57,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.37, mean=-0.1984, std=3.072, absmax=12.37 +2025-10-31 16:26:57,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.032, max=11.44, mean=-0.1523, std=2.601, absmax=11.44 +2025-10-31 16:26:57,584 ERROR: Encountered non-finite generator loss at iter 2196; skipping update. +2025-10-31 16:26:57,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:57,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:57,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:57,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:57,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.11, mean=-0.2674, std=2.881, absmax=13.11 +2025-10-31 16:26:57,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.268, mean=-0.2499, std=2.374, absmax=10.95 +2025-10-31 16:26:58,094 ERROR: Encountered non-finite generator loss at iter 2197; skipping update. +2025-10-31 16:26:58,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:58,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:58,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=14.13, mean=-0.1496, std=2.816, absmax=15.6 +2025-10-31 16:26:58,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.3, mean=-0.1318, std=2.267, absmax=10.8 +2025-10-31 16:26:58,594 ERROR: Encountered non-finite generator loss at iter 2198; skipping update. +2025-10-31 16:26:58,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:58,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:58,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:58,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:58,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=9.958, mean=-0.2389, std=2.58, absmax=13.4 +2025-10-31 16:26:58,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.838, max=7.322, mean=-0.2859, std=2.162, absmax=9.838 +2025-10-31 16:26:59,102 ERROR: Encountered non-finite generator loss at iter 2199; skipping update. +2025-10-31 16:26:59,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:59,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:59,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.77, mean=-0.08716, std=2.744, absmax=12.78 +2025-10-31 16:26:59,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=8.982, mean=-0.08412, std=2.286, absmax=10.98 +2025-10-31 16:26:59,604 ERROR: Encountered non-finite generator loss at iter 2200; skipping update. +2025-10-31 16:26:59,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:26:59,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:26:59,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:26:59,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:26:59,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.04, mean=-0.09723, std=3.086, absmax=14.04 +2025-10-31 16:26:59,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.54, mean=-0.1001, std=2.516, absmax=11.54 +2025-10-31 16:26:59,619 INFO: [29..][epoch: 0, step: 2,200, lr:(1.500e-04,)] [eta: 1 day, 19:07:18, time (data): 0.504 (0.000)] +2025-10-31 16:27:00,111 ERROR: Encountered non-finite generator loss at iter 2201; skipping update. +2025-10-31 16:27:00,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:00,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:00,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.62, mean=-0.109, std=2.997, absmax=13.62 +2025-10-31 16:27:00,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.479, max=9.624, mean=-0.1023, std=2.371, absmax=9.624 +2025-10-31 16:27:00,613 ERROR: Encountered non-finite generator loss at iter 2202; skipping update. +2025-10-31 16:27:00,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:00,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:00,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:00,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:00,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.34, mean=-0.17, std=3.519, absmax=15.34 +2025-10-31 16:27:00,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=10.24, mean=-0.1547, std=2.954, absmax=11.23 +2025-10-31 16:27:01,112 ERROR: Encountered non-finite generator loss at iter 2203; skipping update. +2025-10-31 16:27:01,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:01,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:01,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=20.94, mean=-0.1336, std=2.776, absmax=20.94 +2025-10-31 16:27:01,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=10.71, mean=-0.147, std=2.29, absmax=10.83 +2025-10-31 16:27:01,614 ERROR: Encountered non-finite generator loss at iter 2204; skipping update. +2025-10-31 16:27:01,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:01,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:01,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:01,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:01,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.95, mean=-0.09463, std=3.161, absmax=13.95 +2025-10-31 16:27:01,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=11.33, mean=-0.09642, std=2.564, absmax=12 +2025-10-31 16:27:02,118 ERROR: Encountered non-finite generator loss at iter 2205; skipping update. +2025-10-31 16:27:02,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:02,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:02,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=11.47, mean=0.0006383, std=2.709, absmax=11.47 +2025-10-31 16:27:02,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.806, max=9.098, mean=-0.01176, std=2.336, absmax=9.806 +2025-10-31 16:27:02,622 ERROR: Encountered non-finite generator loss at iter 2206; skipping update. +2025-10-31 16:27:02,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:02,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:02,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:02,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:02,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=14.19, mean=0.08095, std=3.509, absmax=14.19 +2025-10-31 16:27:02,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.972, max=11.25, mean=0.0568, std=2.882, absmax=11.25 +2025-10-31 16:27:03,123 ERROR: Encountered non-finite generator loss at iter 2207; skipping update. +2025-10-31 16:27:03,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:03,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:03,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=10.92, mean=-0.153, std=3.121, absmax=13.9 +2025-10-31 16:27:03,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=8.908, mean=-0.1217, std=2.585, absmax=11.58 +2025-10-31 16:27:03,626 ERROR: Encountered non-finite generator loss at iter 2208; skipping update. +2025-10-31 16:27:03,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:03,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:03,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:03,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:03,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.45, mean=-0.06857, std=2.88, absmax=11.92 +2025-10-31 16:27:03,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.131, max=8.301, mean=-0.1449, std=2.389, absmax=9.131 +2025-10-31 16:27:04,129 ERROR: Encountered non-finite generator loss at iter 2209; skipping update. +2025-10-31 16:27:04,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:04,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:04,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.23, mean=-0.2095, std=2.809, absmax=11.61 +2025-10-31 16:27:04,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=7.955, mean=-0.1863, std=2.375, absmax=11.6 +2025-10-31 16:27:04,633 ERROR: Encountered non-finite generator loss at iter 2210; skipping update. +2025-10-31 16:27:04,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:04,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:04,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:04,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:04,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.35, mean=-0.3212, std=3.126, absmax=12.65 +2025-10-31 16:27:04,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=8.98, mean=-0.2919, std=2.901, absmax=11.82 +2025-10-31 16:27:05,136 ERROR: Encountered non-finite generator loss at iter 2211; skipping update. +2025-10-31 16:27:05,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:05,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:05,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=14.34, mean=-0.1942, std=3.399, absmax=14.55 +2025-10-31 16:27:05,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.2, max=10.22, mean=-0.2059, std=2.903, absmax=13.2 +2025-10-31 16:27:05,640 ERROR: Encountered non-finite generator loss at iter 2212; skipping update. +2025-10-31 16:27:05,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:05,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:05,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:05,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:05,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=9.901, mean=-0.2299, std=2.646, absmax=12.61 +2025-10-31 16:27:05,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=8.286, mean=-0.1917, std=2.264, absmax=9.401 +2025-10-31 16:27:06,141 ERROR: Encountered non-finite generator loss at iter 2213; skipping update. +2025-10-31 16:27:06,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:06,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:06,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.5, mean=-0.145, std=3.084, absmax=12.5 +2025-10-31 16:27:06,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=9.254, mean=-0.1389, std=2.433, absmax=9.375 +2025-10-31 16:27:06,645 ERROR: Encountered non-finite generator loss at iter 2214; skipping update. +2025-10-31 16:27:06,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:06,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:06,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:06,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:06,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.08, mean=-0.2408, std=2.7, absmax=11.16 +2025-10-31 16:27:06,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.245, max=7.977, mean=-0.2379, std=2.311, absmax=9.245 +2025-10-31 16:27:07,147 ERROR: Encountered non-finite generator loss at iter 2215; skipping update. +2025-10-31 16:27:07,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:07,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:07,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.75, mean=-0.3248, std=2.671, absmax=11.95 +2025-10-31 16:27:07,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.888, max=10.63, mean=-0.3378, std=2.348, absmax=10.63 +2025-10-31 16:27:07,653 ERROR: Encountered non-finite generator loss at iter 2216; skipping update. +2025-10-31 16:27:07,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:07,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:07,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:07,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:07,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=11.65, mean=-0.1235, std=3.692, absmax=14.83 +2025-10-31 16:27:07,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=10.66, mean=-0.1163, std=3.057, absmax=12.51 +2025-10-31 16:27:08,157 ERROR: Encountered non-finite generator loss at iter 2217; skipping update. +2025-10-31 16:27:08,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:08,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:08,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=10.48, mean=-0.3717, std=2.734, absmax=12.59 +2025-10-31 16:27:08,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=6.699, mean=-0.3889, std=2.264, absmax=10.71 +2025-10-31 16:27:08,663 ERROR: Encountered non-finite generator loss at iter 2218; skipping update. +2025-10-31 16:27:08,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:08,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:08,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:08,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:08,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=13.13, mean=-0.1219, std=2.685, absmax=15.37 +2025-10-31 16:27:08,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.984, max=9.844, mean=-0.08395, std=2.308, absmax=9.844 +2025-10-31 16:27:09,166 ERROR: Encountered non-finite generator loss at iter 2219; skipping update. +2025-10-31 16:27:09,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:09,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:09,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.33, mean=-0.01729, std=3.237, absmax=13.71 +2025-10-31 16:27:09,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.717, mean=-0.1098, std=2.679, absmax=10.51 +2025-10-31 16:27:09,672 ERROR: Encountered non-finite generator loss at iter 2220; skipping update. +2025-10-31 16:27:09,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:09,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:09,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:09,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:09,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.36, mean=-0.2556, std=2.862, absmax=13.36 +2025-10-31 16:27:09,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.874, max=8.993, mean=-0.2139, std=2.483, absmax=8.993 +2025-10-31 16:27:10,177 ERROR: Encountered non-finite generator loss at iter 2221; skipping update. +2025-10-31 16:27:10,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:10,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:10,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=9.89, mean=-0.2615, std=2.662, absmax=12.05 +2025-10-31 16:27:10,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=9, mean=-0.2409, std=2.439, absmax=12.56 +2025-10-31 16:27:10,682 ERROR: Encountered non-finite generator loss at iter 2222; skipping update. +2025-10-31 16:27:10,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:10,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:10,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:10,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:10,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.36, mean=-0.3055, std=3.414, absmax=14.64 +2025-10-31 16:27:10,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.94, mean=-0.2672, std=2.828, absmax=11.71 +2025-10-31 16:27:11,184 ERROR: Encountered non-finite generator loss at iter 2223; skipping update. +2025-10-31 16:27:11,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:11,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:11,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=17.15, mean=-0.3644, std=3.3, absmax=17.15 +2025-10-31 16:27:11,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.81, mean=-0.3217, std=2.874, absmax=11.04 +2025-10-31 16:27:11,685 ERROR: Encountered non-finite generator loss at iter 2224; skipping update. +2025-10-31 16:27:11,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:11,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:11,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:11,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:11,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=15.75, mean=-0.2392, std=3.146, absmax=15.75 +2025-10-31 16:27:11,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=12.34, mean=-0.21, std=2.721, absmax=12.34 +2025-10-31 16:27:12,191 ERROR: Encountered non-finite generator loss at iter 2225; skipping update. +2025-10-31 16:27:12,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:12,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:12,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=16.05, mean=-0.08338, std=2.917, absmax=16.05 +2025-10-31 16:27:12,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=11.7, mean=-0.07762, std=2.525, absmax=11.7 +2025-10-31 16:27:12,694 ERROR: Encountered non-finite generator loss at iter 2226; skipping update. +2025-10-31 16:27:12,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:12,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:12,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:12,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:12,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=13.37, mean=-0.2713, std=2.536, absmax=13.37 +2025-10-31 16:27:12,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=8.513, mean=-0.2275, std=2.196, absmax=11.96 +2025-10-31 16:27:13,195 ERROR: Encountered non-finite generator loss at iter 2227; skipping update. +2025-10-31 16:27:13,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,197 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,201 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:13,202 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:13,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.16, mean=-0.2135, std=2.97, absmax=14.16 +2025-10-31 16:27:13,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.683, mean=-0.2242, std=2.416, absmax=10.26 +2025-10-31 16:27:13,695 ERROR: Encountered non-finite generator loss at iter 2228; skipping update. +2025-10-31 16:27:13,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:13,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:13,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:13,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:13,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=12.49, mean=-0.08446, std=2.451, absmax=12.49 +2025-10-31 16:27:13,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.265, max=10.56, mean=-0.034, std=2.247, absmax=10.56 +2025-10-31 16:27:14,205 ERROR: Encountered non-finite generator loss at iter 2229; skipping update. +2025-10-31 16:27:14,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:14,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:14,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.6, mean=-0.1244, std=3.105, absmax=13.83 +2025-10-31 16:27:14,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=9.657, mean=-0.1296, std=2.544, absmax=12.56 +2025-10-31 16:27:14,709 ERROR: Encountered non-finite generator loss at iter 2230; skipping update. +2025-10-31 16:27:14,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:14,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:14,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:14,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:14,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.39, mean=-0.2936, std=3.042, absmax=13.27 +2025-10-31 16:27:14,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.41, mean=-0.2423, std=2.424, absmax=10.41 +2025-10-31 16:27:15,212 ERROR: Encountered non-finite generator loss at iter 2231; skipping update. +2025-10-31 16:27:15,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:15,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:15,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.92, mean=-0.09239, std=2.854, absmax=13.92 +2025-10-31 16:27:15,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.492, max=10.07, mean=-0.07726, std=2.36, absmax=10.07 +2025-10-31 16:27:15,715 ERROR: Encountered non-finite generator loss at iter 2232; skipping update. +2025-10-31 16:27:15,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:15,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:15,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:15,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:15,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.93, mean=-0.1471, std=2.999, absmax=13.93 +2025-10-31 16:27:15,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.29, mean=-0.1104, std=2.727, absmax=10.49 +2025-10-31 16:27:16,216 ERROR: Encountered non-finite generator loss at iter 2233; skipping update. +2025-10-31 16:27:16,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,219 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:16,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:16,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.61, mean=-0.1507, std=3.139, absmax=13.02 +2025-10-31 16:27:16,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.22, max=8.841, mean=-0.1671, std=2.683, absmax=13.22 +2025-10-31 16:27:16,718 ERROR: Encountered non-finite generator loss at iter 2234; skipping update. +2025-10-31 16:27:16,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:16,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:16,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:16,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:16,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.46, mean=0.01897, std=3.426, absmax=14.46 +2025-10-31 16:27:16,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=13.96, mean=0.03941, std=3.099, absmax=13.96 +2025-10-31 16:27:17,224 ERROR: Encountered non-finite generator loss at iter 2235; skipping update. +2025-10-31 16:27:17,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:17,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:17,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.72, mean=-0.1235, std=3.019, absmax=11.72 +2025-10-31 16:27:17,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.613, mean=-0.1153, std=2.726, absmax=10.68 +2025-10-31 16:27:17,725 ERROR: Encountered non-finite generator loss at iter 2236; skipping update. +2025-10-31 16:27:17,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,729 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:17,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:17,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:17,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:17,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.68, mean=0.092, std=3.144, absmax=13.68 +2025-10-31 16:27:17,734 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.44, mean=0.07045, std=2.582, absmax=11.44 +2025-10-31 16:27:18,226 ERROR: Encountered non-finite generator loss at iter 2237; skipping update. +2025-10-31 16:27:18,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:18,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:18,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.46, mean=-0.1713, std=3.213, absmax=12.8 +2025-10-31 16:27:18,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.349, mean=-0.1329, std=2.679, absmax=10.79 +2025-10-31 16:27:18,725 ERROR: Encountered non-finite generator loss at iter 2238; skipping update. +2025-10-31 16:27:18,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:18,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:18,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:18,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:18,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.99, mean=-0.3072, std=2.974, absmax=12.99 +2025-10-31 16:27:18,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.598, max=7.917, mean=-0.2489, std=2.392, absmax=9.598 +2025-10-31 16:27:19,228 ERROR: Encountered non-finite generator loss at iter 2239; skipping update. +2025-10-31 16:27:19,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:19,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:19,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.28, mean=0.07201, std=3.27, absmax=14.28 +2025-10-31 16:27:19,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=12.36, mean=0.09436, std=2.828, absmax=12.36 +2025-10-31 16:27:19,730 ERROR: Encountered non-finite generator loss at iter 2240; skipping update. +2025-10-31 16:27:19,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:19,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:19,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:19,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:19,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.2, mean=-0.2436, std=2.986, absmax=14.2 +2025-10-31 16:27:19,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.484, mean=-0.2488, std=2.523, absmax=10.78 +2025-10-31 16:27:20,232 ERROR: Encountered non-finite generator loss at iter 2241; skipping update. +2025-10-31 16:27:20,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:20,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:20,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.56, mean=0.101, std=3.844, absmax=14.56 +2025-10-31 16:27:20,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=12.03, mean=0.06043, std=3.295, absmax=12.03 +2025-10-31 16:27:20,729 ERROR: Encountered non-finite generator loss at iter 2242; skipping update. +2025-10-31 16:27:20,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:20,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:20,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:20,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:20,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.05, mean=-0.2078, std=2.995, absmax=13.35 +2025-10-31 16:27:20,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.794, mean=-0.1964, std=2.599, absmax=10.92 +2025-10-31 16:27:21,231 ERROR: Encountered non-finite generator loss at iter 2243; skipping update. +2025-10-31 16:27:21,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:21,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:21,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.3, mean=-0.1606, std=3.081, absmax=12.05 +2025-10-31 16:27:21,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.841, max=8.198, mean=-0.1461, std=2.433, absmax=9.841 +2025-10-31 16:27:21,734 ERROR: Encountered non-finite generator loss at iter 2244; skipping update. +2025-10-31 16:27:21,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,738 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:21,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:21,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:21,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:21,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.27, mean=-0.211, std=2.778, absmax=14.27 +2025-10-31 16:27:21,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=9.77, mean=-0.1977, std=2.224, absmax=9.77 +2025-10-31 16:27:22,236 ERROR: Encountered non-finite generator loss at iter 2245; skipping update. +2025-10-31 16:27:22,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:22,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:22,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.34, mean=-0.2456, std=3.011, absmax=14.34 +2025-10-31 16:27:22,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=9.735, mean=-0.23, std=2.548, absmax=9.735 +2025-10-31 16:27:22,739 ERROR: Encountered non-finite generator loss at iter 2246; skipping update. +2025-10-31 16:27:22,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:22,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:22,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:22,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:22,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=10.52, mean=-0.2865, std=2.633, absmax=12.84 +2025-10-31 16:27:22,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.869, mean=-0.2556, std=2.257, absmax=10.84 +2025-10-31 16:27:23,242 ERROR: Encountered non-finite generator loss at iter 2247; skipping update. +2025-10-31 16:27:23,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:23,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:23,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=11.3, mean=-0.2251, std=2.816, absmax=13.48 +2025-10-31 16:27:23,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.432, mean=-0.235, std=2.432, absmax=10.38 +2025-10-31 16:27:23,743 ERROR: Encountered non-finite generator loss at iter 2248; skipping update. +2025-10-31 16:27:23,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:23,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:23,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:23,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:23,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=11.73, mean=-0.2015, std=2.717, absmax=11.73 +2025-10-31 16:27:23,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.362, max=7.471, mean=-0.2396, std=2.223, absmax=8.362 +2025-10-31 16:27:24,243 ERROR: Encountered non-finite generator loss at iter 2249; skipping update. +2025-10-31 16:27:24,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:24,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:24,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=14.73, mean=-0.2674, std=3.537, absmax=15.23 +2025-10-31 16:27:24,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.91, max=12.21, mean=-0.2307, std=3.032, absmax=13.91 +2025-10-31 16:27:24,744 ERROR: Encountered non-finite generator loss at iter 2250; skipping update. +2025-10-31 16:27:24,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:24,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:24,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:24,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:24,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=10.27, mean=-0.09133, std=2.668, absmax=10.75 +2025-10-31 16:27:24,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.968, max=9.487, mean=-0.1009, std=2.342, absmax=9.968 +2025-10-31 16:27:25,243 ERROR: Encountered non-finite generator loss at iter 2251; skipping update. +2025-10-31 16:27:25,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:25,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:25,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.08, mean=-0.1582, std=2.478, absmax=11.29 +2025-10-31 16:27:25,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.671, max=9.774, mean=-0.2132, std=2.209, absmax=9.774 +2025-10-31 16:27:25,746 ERROR: Encountered non-finite generator loss at iter 2252; skipping update. +2025-10-31 16:27:25,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:25,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:25,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:25,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:25,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.84, mean=-0.2346, std=2.425, absmax=11.84 +2025-10-31 16:27:25,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.526, max=8.144, mean=-0.2391, std=2.131, absmax=9.526 +2025-10-31 16:27:26,249 ERROR: Encountered non-finite generator loss at iter 2253; skipping update. +2025-10-31 16:27:26,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:26,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:26,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=15.18, mean=-0.1635, std=3.524, absmax=15.18 +2025-10-31 16:27:26,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=10.17, mean=-0.181, std=2.975, absmax=11.09 +2025-10-31 16:27:26,752 ERROR: Encountered non-finite generator loss at iter 2254; skipping update. +2025-10-31 16:27:26,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:26,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:26,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:26,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:26,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.55, mean=-0.1059, std=3.423, absmax=14.55 +2025-10-31 16:27:26,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=11.89, mean=-0.1315, std=2.844, absmax=11.89 +2025-10-31 16:27:27,256 ERROR: Encountered non-finite generator loss at iter 2255; skipping update. +2025-10-31 16:27:27,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:27,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:27,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.29, mean=-0.2358, std=2.551, absmax=12.29 +2025-10-31 16:27:27,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.894, max=9.574, mean=-0.23, std=2.32, absmax=9.894 +2025-10-31 16:27:27,756 ERROR: Encountered non-finite generator loss at iter 2256; skipping update. +2025-10-31 16:27:27,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:27,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:27,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:27,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:27,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.41, mean=-0.1339, std=3.739, absmax=15.41 +2025-10-31 16:27:27,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=13.75, mean=-0.09902, std=3.308, absmax=13.75 +2025-10-31 16:27:28,257 ERROR: Encountered non-finite generator loss at iter 2257; skipping update. +2025-10-31 16:27:28,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:28,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:28,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.18, mean=-0.1648, std=2.853, absmax=11.97 +2025-10-31 16:27:28,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.257, max=8.035, mean=-0.1921, std=2.297, absmax=9.257 +2025-10-31 16:27:28,759 ERROR: Encountered non-finite generator loss at iter 2258; skipping update. +2025-10-31 16:27:28,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:28,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:28,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:28,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:28,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=10.97, mean=-0.2585, std=3.212, absmax=12.62 +2025-10-31 16:27:28,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.12, mean=-0.2362, std=2.738, absmax=10.91 +2025-10-31 16:27:29,260 ERROR: Encountered non-finite generator loss at iter 2259; skipping update. +2025-10-31 16:27:29,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:29,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:29,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.24, mean=-0.02699, std=3.106, absmax=14.24 +2025-10-31 16:27:29,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=11.83, mean=-0.06052, std=2.624, absmax=11.83 +2025-10-31 16:27:29,762 ERROR: Encountered non-finite generator loss at iter 2260; skipping update. +2025-10-31 16:27:29,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:29,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:29,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:29,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:29,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=11.7, mean=-0.2081, std=2.888, absmax=14.45 +2025-10-31 16:27:29,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=9.831, mean=-0.1962, std=2.545, absmax=12.51 +2025-10-31 16:27:30,261 ERROR: Encountered non-finite generator loss at iter 2261; skipping update. +2025-10-31 16:27:30,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:30,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:30,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.79, mean=0.01693, std=3.527, absmax=13.79 +2025-10-31 16:27:30,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.52, mean=-0.01827, std=2.91, absmax=10.52 +2025-10-31 16:27:30,764 ERROR: Encountered non-finite generator loss at iter 2262; skipping update. +2025-10-31 16:27:30,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:30,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:30,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:30,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:30,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.7, max=14.13, mean=-0.1982, std=2.735, absmax=15.7 +2025-10-31 16:27:30,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=12.13, mean=-0.2302, std=2.268, absmax=12.13 +2025-10-31 16:27:31,264 ERROR: Encountered non-finite generator loss at iter 2263; skipping update. +2025-10-31 16:27:31,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:31,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:31,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.45, max=13.23, mean=-0.06462, std=3.619, absmax=15.45 +2025-10-31 16:27:31,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=11.05, mean=-0.07353, std=2.901, absmax=12.16 +2025-10-31 16:27:31,767 ERROR: Encountered non-finite generator loss at iter 2264; skipping update. +2025-10-31 16:27:31,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:31,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:31,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:31,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:31,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.41, mean=-0.2045, std=2.807, absmax=13.52 +2025-10-31 16:27:31,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=9.358, mean=-0.2082, std=2.183, absmax=9.358 +2025-10-31 16:27:32,272 ERROR: Encountered non-finite generator loss at iter 2265; skipping update. +2025-10-31 16:27:32,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:32,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:32,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.65, mean=-0.1794, std=3.007, absmax=13.65 +2025-10-31 16:27:32,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.354, max=8.451, mean=-0.1797, std=2.443, absmax=9.354 +2025-10-31 16:27:32,777 ERROR: Encountered non-finite generator loss at iter 2266; skipping update. +2025-10-31 16:27:32,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:32,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:32,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:32,784 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:32,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=13.49, mean=-0.1222, std=2.561, absmax=13.49 +2025-10-31 16:27:32,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.487, max=10.06, mean=-0.08216, std=2.258, absmax=10.06 +2025-10-31 16:27:33,280 ERROR: Encountered non-finite generator loss at iter 2267; skipping update. +2025-10-31 16:27:33,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:33,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:33,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.2, mean=0.1392, std=3.443, absmax=13.68 +2025-10-31 16:27:33,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=9.459, mean=0.09883, std=2.969, absmax=12.29 +2025-10-31 16:27:33,785 ERROR: Encountered non-finite generator loss at iter 2268; skipping update. +2025-10-31 16:27:33,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:33,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:33,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:33,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:33,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=10.02, mean=-0.2529, std=2.714, absmax=12.21 +2025-10-31 16:27:33,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=7.671, mean=-0.2153, std=2.249, absmax=8.727 +2025-10-31 16:27:34,288 ERROR: Encountered non-finite generator loss at iter 2269; skipping update. +2025-10-31 16:27:34,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,294 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:34,295 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:34,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.62, mean=-0.2624, std=3.713, absmax=14.62 +2025-10-31 16:27:34,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.943, mean=-0.2967, std=3.005, absmax=11.82 +2025-10-31 16:27:34,791 ERROR: Encountered non-finite generator loss at iter 2270; skipping update. +2025-10-31 16:27:34,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,794 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:34,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:34,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:34,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:34,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.82, mean=-0.2176, std=3.011, absmax=13.56 +2025-10-31 16:27:34,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=8.716, mean=-0.228, std=2.395, absmax=9.375 +2025-10-31 16:27:35,295 ERROR: Encountered non-finite generator loss at iter 2271; skipping update. +2025-10-31 16:27:35,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,298 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,299 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,301 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:35,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:35,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.88, mean=-0.03668, std=2.631, absmax=13.44 +2025-10-31 16:27:35,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.62, max=12.73, mean=-0.08164, std=2.233, absmax=13.62 +2025-10-31 16:27:35,799 ERROR: Encountered non-finite generator loss at iter 2272; skipping update. +2025-10-31 16:27:35,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:35,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:35,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:35,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:35,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=15.43, mean=-0.1415, std=2.9, absmax=15.43 +2025-10-31 16:27:35,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=9.066, mean=-0.1241, std=2.447, absmax=9.684 +2025-10-31 16:27:36,302 ERROR: Encountered non-finite generator loss at iter 2273; skipping update. +2025-10-31 16:27:36,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:36,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:36,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=11.11, mean=-0.2774, std=2.802, absmax=15.13 +2025-10-31 16:27:36,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.33, max=7.879, mean=-0.2293, std=2.459, absmax=13.33 +2025-10-31 16:27:36,805 ERROR: Encountered non-finite generator loss at iter 2274; skipping update. +2025-10-31 16:27:36,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:36,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:36,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:36,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:36,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.98, mean=-0.03125, std=3.222, absmax=14.98 +2025-10-31 16:27:36,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.28, mean=-0.08412, std=2.578, absmax=11.28 +2025-10-31 16:27:37,306 ERROR: Encountered non-finite generator loss at iter 2275; skipping update. +2025-10-31 16:27:37,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:37,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:37,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.41, mean=-0.06962, std=2.844, absmax=12.66 +2025-10-31 16:27:37,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.844, max=9.778, mean=-0.101, std=2.319, absmax=9.778 +2025-10-31 16:27:37,810 ERROR: Encountered non-finite generator loss at iter 2276; skipping update. +2025-10-31 16:27:37,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:37,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:37,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:37,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:37,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=10.64, mean=-0.1605, std=2.641, absmax=11.64 +2025-10-31 16:27:37,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.12, mean=-0.2042, std=2.392, absmax=10.4 +2025-10-31 16:27:38,314 ERROR: Encountered non-finite generator loss at iter 2277; skipping update. +2025-10-31 16:27:38,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:38,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:38,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=18.96, mean=-0.1926, std=3.583, absmax=18.96 +2025-10-31 16:27:38,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.7, max=13.77, mean=-0.1942, std=3.146, absmax=13.77 +2025-10-31 16:27:38,817 ERROR: Encountered non-finite generator loss at iter 2278; skipping update. +2025-10-31 16:27:38,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,820 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,821 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:38,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:38,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:38,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:38,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.59, mean=-0.225, std=2.888, absmax=13.59 +2025-10-31 16:27:38,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.75, max=10.44, mean=-0.2534, std=2.363, absmax=10.44 +2025-10-31 16:27:39,320 ERROR: Encountered non-finite generator loss at iter 2279; skipping update. +2025-10-31 16:27:39,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:39,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:39,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16, max=12.63, mean=-0.2863, std=2.89, absmax=16 +2025-10-31 16:27:39,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.74, mean=-0.2368, std=2.409, absmax=10.95 +2025-10-31 16:27:39,822 ERROR: Encountered non-finite generator loss at iter 2280; skipping update. +2025-10-31 16:27:39,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:39,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:39,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:39,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:39,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.58, mean=-0.1819, std=3.347, absmax=14.55 +2025-10-31 16:27:39,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.48, max=9.86, mean=-0.2064, std=2.879, absmax=13.48 +2025-10-31 16:27:40,326 ERROR: Encountered non-finite generator loss at iter 2281; skipping update. +2025-10-31 16:27:40,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,329 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:40,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:40,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=14.31, mean=-0.2808, std=2.776, absmax=14.84 +2025-10-31 16:27:40,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.465, max=9.849, mean=-0.2886, std=2.255, absmax=9.849 +2025-10-31 16:27:40,826 ERROR: Encountered non-finite generator loss at iter 2282; skipping update. +2025-10-31 16:27:40,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:40,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:40,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:40,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:40,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.01, mean=-0.198, std=3.012, absmax=13.01 +2025-10-31 16:27:40,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=8.58, mean=-0.1928, std=2.443, absmax=10.01 +2025-10-31 16:27:41,329 ERROR: Encountered non-finite generator loss at iter 2283; skipping update. +2025-10-31 16:27:41,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:41,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:41,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.98, mean=-0.1229, std=3.112, absmax=13.98 +2025-10-31 16:27:41,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.572, max=9.499, mean=-0.09073, std=2.57, absmax=9.572 +2025-10-31 16:27:41,831 ERROR: Encountered non-finite generator loss at iter 2284; skipping update. +2025-10-31 16:27:41,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:41,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:41,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:41,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:41,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=14.53, mean=0.1703, std=3.042, absmax=14.53 +2025-10-31 16:27:41,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.086, max=11.4, mean=0.1117, std=2.375, absmax=11.4 +2025-10-31 16:27:42,334 ERROR: Encountered non-finite generator loss at iter 2285; skipping update. +2025-10-31 16:27:42,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:42,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:42,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14.25, mean=-0.08866, std=3.283, absmax=14.25 +2025-10-31 16:27:42,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=11.29, mean=-0.01301, std=2.904, absmax=11.73 +2025-10-31 16:27:42,837 ERROR: Encountered non-finite generator loss at iter 2286; skipping update. +2025-10-31 16:27:42,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:42,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:42,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:42,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:42,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=18.69, mean=0.07052, std=3.564, absmax=18.69 +2025-10-31 16:27:42,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=11.36, mean=0.01009, std=2.992, absmax=11.45 +2025-10-31 16:27:43,340 ERROR: Encountered non-finite generator loss at iter 2287; skipping update. +2025-10-31 16:27:43,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:43,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:43,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.04, mean=-0.1188, std=2.712, absmax=12.34 +2025-10-31 16:27:43,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.526, max=9.11, mean=-0.1183, std=2.349, absmax=9.11 +2025-10-31 16:27:43,842 ERROR: Encountered non-finite generator loss at iter 2288; skipping update. +2025-10-31 16:27:43,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:43,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:43,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:43,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:43,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.12, mean=-0.2833, std=2.773, absmax=13.03 +2025-10-31 16:27:43,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.19, mean=-0.2487, std=2.284, absmax=10.26 +2025-10-31 16:27:44,343 ERROR: Encountered non-finite generator loss at iter 2289; skipping update. +2025-10-31 16:27:44,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:44,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:44,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.17, mean=0.02132, std=3.121, absmax=14.17 +2025-10-31 16:27:44,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.527, max=10.04, mean=-0.01441, std=2.583, absmax=10.04 +2025-10-31 16:27:44,845 ERROR: Encountered non-finite generator loss at iter 2290; skipping update. +2025-10-31 16:27:44,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:44,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:44,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:44,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:44,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.84, mean=-0.2822, std=3.651, absmax=13.63 +2025-10-31 16:27:44,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.946, mean=-0.2327, std=3.268, absmax=12.81 +2025-10-31 16:27:45,349 ERROR: Encountered non-finite generator loss at iter 2291; skipping update. +2025-10-31 16:27:45,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:45,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:45,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=15.32, mean=-0.2038, std=2.739, absmax=15.32 +2025-10-31 16:27:45,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11, mean=-0.178, std=2.246, absmax=11 +2025-10-31 16:27:45,852 ERROR: Encountered non-finite generator loss at iter 2292; skipping update. +2025-10-31 16:27:45,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,856 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:45,858 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:45,859 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:45,860 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:45,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14, mean=0.1639, std=3.751, absmax=14 +2025-10-31 16:27:45,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=11.34, mean=0.1704, std=3.127, absmax=11.38 +2025-10-31 16:27:46,355 ERROR: Encountered non-finite generator loss at iter 2293; skipping update. +2025-10-31 16:27:46,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:46,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:46,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.88, max=13.73, mean=-0.049, std=3.113, absmax=18.88 +2025-10-31 16:27:46,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.91, mean=-0.05942, std=2.54, absmax=10.86 +2025-10-31 16:27:46,856 ERROR: Encountered non-finite generator loss at iter 2294; skipping update. +2025-10-31 16:27:46,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,860 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:46,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:46,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:46,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:46,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.15, mean=-0.07545, std=3.123, absmax=14.15 +2025-10-31 16:27:46,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.86, mean=-0.08568, std=2.647, absmax=11.86 +2025-10-31 16:27:47,357 ERROR: Encountered non-finite generator loss at iter 2295; skipping update. +2025-10-31 16:27:47,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,360 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,364 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:47,365 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:47,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.5, mean=-0.2865, std=2.953, absmax=13.53 +2025-10-31 16:27:47,367 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.4, mean=-0.2552, std=2.399, absmax=10.4 +2025-10-31 16:27:47,859 ERROR: Encountered non-finite generator loss at iter 2296; skipping update. +2025-10-31 16:27:47,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:47,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:47,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:47,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:47,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=14.76, mean=-0.05578, std=3.065, absmax=14.76 +2025-10-31 16:27:47,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.048, max=10.13, mean=-0.068, std=2.434, absmax=10.13 +2025-10-31 16:27:48,360 ERROR: Encountered non-finite generator loss at iter 2297; skipping update. +2025-10-31 16:27:48,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:48,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:48,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.45, max=11.71, mean=-0.2741, std=3.653, absmax=15.45 +2025-10-31 16:27:48,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=9.473, mean=-0.2846, std=3.179, absmax=12.04 +2025-10-31 16:27:48,861 ERROR: Encountered non-finite generator loss at iter 2298; skipping update. +2025-10-31 16:27:48,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:48,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:48,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:48,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:48,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.9, mean=0.1787, std=3.263, absmax=13.57 +2025-10-31 16:27:48,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.1, max=9.777, mean=0.131, std=2.593, absmax=9.777 +2025-10-31 16:27:49,366 ERROR: Encountered non-finite generator loss at iter 2299; skipping update. +2025-10-31 16:27:49,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:49,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:49,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=10.78, mean=-0.1924, std=2.924, absmax=12.34 +2025-10-31 16:27:49,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.469, mean=-0.1845, std=2.507, absmax=11.16 +2025-10-31 16:27:49,870 ERROR: Encountered non-finite generator loss at iter 2300; skipping update. +2025-10-31 16:27:49,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:49,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:49,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:49,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:49,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.39, mean=-0.05587, std=2.773, absmax=13.39 +2025-10-31 16:27:49,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.883, max=8.987, mean=-0.07105, std=2.238, absmax=8.987 +2025-10-31 16:27:49,885 INFO: [29..][epoch: 0, step: 2,300, lr:(1.500e-04,)] [eta: 1 day, 18:44:02, time (data): 0.503 (0.000)] +2025-10-31 16:27:50,377 ERROR: Encountered non-finite generator loss at iter 2301; skipping update. +2025-10-31 16:27:50,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:50,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:50,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.78, mean=-0.07883, std=3.195, absmax=13.78 +2025-10-31 16:27:50,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.879, max=12.99, mean=-0.09433, std=2.675, absmax=12.99 +2025-10-31 16:27:50,881 ERROR: Encountered non-finite generator loss at iter 2302; skipping update. +2025-10-31 16:27:50,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,884 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:50,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:50,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:50,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:50,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.2, mean=-0.2657, std=2.878, absmax=13.98 +2025-10-31 16:27:50,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=10.27, mean=-0.2365, std=2.441, absmax=11.41 +2025-10-31 16:27:51,383 ERROR: Encountered non-finite generator loss at iter 2303; skipping update. +2025-10-31 16:27:51,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:51,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:51,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=16.05, mean=-0.0897, std=2.961, absmax=16.05 +2025-10-31 16:27:51,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.177, max=10.64, mean=-0.08834, std=2.524, absmax=10.64 +2025-10-31 16:27:51,883 ERROR: Encountered non-finite generator loss at iter 2304; skipping update. +2025-10-31 16:27:51,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:51,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:51,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:51,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:51,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.47, mean=-0.1214, std=3.228, absmax=14.47 +2025-10-31 16:27:51,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=13.73, mean=-0.1009, std=2.984, absmax=13.73 +2025-10-31 16:27:52,383 ERROR: Encountered non-finite generator loss at iter 2305; skipping update. +2025-10-31 16:27:52,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:52,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:52,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=16.83, mean=0.1151, std=3.785, absmax=16.83 +2025-10-31 16:27:52,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=12.14, mean=0.06432, std=2.987, absmax=12.14 +2025-10-31 16:27:52,884 ERROR: Encountered non-finite generator loss at iter 2306; skipping update. +2025-10-31 16:27:52,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,888 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:52,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:52,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:52,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:52,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.02, mean=-0.2069, std=2.702, absmax=11.86 +2025-10-31 16:27:52,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.463, max=8.833, mean=-0.2067, std=2.432, absmax=9.463 +2025-10-31 16:27:53,389 ERROR: Encountered non-finite generator loss at iter 2307; skipping update. +2025-10-31 16:27:53,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:53,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:53,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=15.75, mean=-0.1037, std=2.801, absmax=15.75 +2025-10-31 16:27:53,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.6, max=10.24, mean=-0.1346, std=2.324, absmax=10.24 +2025-10-31 16:27:53,890 ERROR: Encountered non-finite generator loss at iter 2308; skipping update. +2025-10-31 16:27:53,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:53,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:53,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:53,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:53,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.26, mean=-0.03494, std=3.276, absmax=14.26 +2025-10-31 16:27:53,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.76, mean=-0.03912, std=2.78, absmax=11.76 +2025-10-31 16:27:54,393 ERROR: Encountered non-finite generator loss at iter 2309; skipping update. +2025-10-31 16:27:54,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:54,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:54,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.12, mean=-0.07994, std=2.692, absmax=12.12 +2025-10-31 16:27:54,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.71, mean=-0.104, std=2.305, absmax=11.27 +2025-10-31 16:27:54,897 ERROR: Encountered non-finite generator loss at iter 2310; skipping update. +2025-10-31 16:27:54,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:54,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:54,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:54,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:54,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=16.34, mean=-0.04472, std=2.97, absmax=16.34 +2025-10-31 16:27:54,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.84, max=10.39, mean=-0.05114, std=2.441, absmax=10.39 +2025-10-31 16:27:55,397 ERROR: Encountered non-finite generator loss at iter 2311; skipping update. +2025-10-31 16:27:55,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:55,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:55,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.33, mean=-0.1417, std=2.756, absmax=12.99 +2025-10-31 16:27:55,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=8.708, mean=-0.1994, std=2.256, absmax=9.22 +2025-10-31 16:27:55,900 ERROR: Encountered non-finite generator loss at iter 2312; skipping update. +2025-10-31 16:27:55,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:55,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:55,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:55,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:55,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=10.82, mean=-0.1752, std=3.042, absmax=13.65 +2025-10-31 16:27:55,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.051, mean=-0.2343, std=2.718, absmax=10.8 +2025-10-31 16:27:56,399 ERROR: Encountered non-finite generator loss at iter 2313; skipping update. +2025-10-31 16:27:56,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:56,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:56,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.53, mean=-0.111, std=3.037, absmax=13.82 +2025-10-31 16:27:56,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=10.11, mean=-0.1106, std=2.536, absmax=10.11 +2025-10-31 16:27:56,897 ERROR: Encountered non-finite generator loss at iter 2314; skipping update. +2025-10-31 16:27:56,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:56,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:56,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:56,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:56,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.72, mean=0.09855, std=3.139, absmax=12.72 +2025-10-31 16:27:56,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.641, max=11.12, mean=0.07118, std=2.675, absmax=11.12 +2025-10-31 16:27:57,399 ERROR: Encountered non-finite generator loss at iter 2315; skipping update. +2025-10-31 16:27:57,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:57,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:57,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.03, mean=-0.07272, std=3.325, absmax=13 +2025-10-31 16:27:57,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.384, mean=-0.05022, std=2.753, absmax=10.06 +2025-10-31 16:27:57,899 ERROR: Encountered non-finite generator loss at iter 2316; skipping update. +2025-10-31 16:27:57,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:57,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:57,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:57,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:57,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=14.31, mean=-0.1606, std=2.941, absmax=14.31 +2025-10-31 16:27:57,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.903, mean=-0.1957, std=2.471, absmax=10.17 +2025-10-31 16:27:58,402 ERROR: Encountered non-finite generator loss at iter 2317; skipping update. +2025-10-31 16:27:58,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:58,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:58,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.03, mean=-0.1542, std=2.708, absmax=11.54 +2025-10-31 16:27:58,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.832, max=9.776, mean=-0.09306, std=2.344, absmax=9.776 +2025-10-31 16:27:58,905 ERROR: Encountered non-finite generator loss at iter 2318; skipping update. +2025-10-31 16:27:58,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:58,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:58,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:58,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:58,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.65, mean=-0.1141, std=3.357, absmax=15.65 +2025-10-31 16:27:58,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.09, mean=-0.1502, std=2.721, absmax=12.09 +2025-10-31 16:27:59,409 ERROR: Encountered non-finite generator loss at iter 2319; skipping update. +2025-10-31 16:27:59,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:59,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:59,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.33, mean=-0.3311, std=3.276, absmax=14.08 +2025-10-31 16:27:59,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=11.07, mean=-0.3083, std=2.821, absmax=11.62 +2025-10-31 16:27:59,912 ERROR: Encountered non-finite generator loss at iter 2320; skipping update. +2025-10-31 16:27:59,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:27:59,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:27:59,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:27:59,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:27:59,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=13.1, mean=-0.1992, std=2.363, absmax=13.1 +2025-10-31 16:27:59,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.34, mean=-0.1781, std=2.084, absmax=10.34 +2025-10-31 16:28:00,415 ERROR: Encountered non-finite generator loss at iter 2321; skipping update. +2025-10-31 16:28:00,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:00,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:00,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=13.91, mean=-0.204, std=2.621, absmax=13.91 +2025-10-31 16:28:00,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=11.56, mean=-0.1554, std=2.242, absmax=11.56 +2025-10-31 16:28:00,919 ERROR: Encountered non-finite generator loss at iter 2322; skipping update. +2025-10-31 16:28:00,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:00,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:00,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:00,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:00,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.55, mean=-0.2107, std=3.443, absmax=13.98 +2025-10-31 16:28:00,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.06, max=9.986, mean=-0.2023, std=2.993, absmax=13.06 +2025-10-31 16:28:01,420 ERROR: Encountered non-finite generator loss at iter 2323; skipping update. +2025-10-31 16:28:01,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,423 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:01,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:01,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=15.29, mean=0.1722, std=3.331, absmax=15.29 +2025-10-31 16:28:01,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.629, max=10.89, mean=0.09698, std=2.798, absmax=10.89 +2025-10-31 16:28:01,922 ERROR: Encountered non-finite generator loss at iter 2324; skipping update. +2025-10-31 16:28:01,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,925 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:01,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:01,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:01,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:01,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.25, mean=-0.2246, std=2.875, absmax=13.25 +2025-10-31 16:28:01,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.518, mean=-0.1984, std=2.427, absmax=10.14 +2025-10-31 16:28:02,424 ERROR: Encountered non-finite generator loss at iter 2325; skipping update. +2025-10-31 16:28:02,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:02,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:02,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.58, mean=0.06184, std=3.067, absmax=12.73 +2025-10-31 16:28:02,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.328, max=10.11, mean=-0.01101, std=2.534, absmax=10.11 +2025-10-31 16:28:02,925 ERROR: Encountered non-finite generator loss at iter 2326; skipping update. +2025-10-31 16:28:02,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:02,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:02,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:02,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:02,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.02, mean=-0.2332, std=2.902, absmax=12.52 +2025-10-31 16:28:02,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.97, mean=-0.2201, std=2.538, absmax=10.29 +2025-10-31 16:28:03,428 ERROR: Encountered non-finite generator loss at iter 2327; skipping update. +2025-10-31 16:28:03,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:03,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:03,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.79, mean=-0.2422, std=2.891, absmax=13.87 +2025-10-31 16:28:03,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=8.431, mean=-0.2124, std=2.412, absmax=10.01 +2025-10-31 16:28:03,931 ERROR: Encountered non-finite generator loss at iter 2328; skipping update. +2025-10-31 16:28:03,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:03,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:03,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:03,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:03,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.53, mean=-0.1923, std=2.611, absmax=12.53 +2025-10-31 16:28:03,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.244, max=8.526, mean=-0.1834, std=2.076, absmax=9.244 +2025-10-31 16:28:04,433 ERROR: Encountered non-finite generator loss at iter 2329; skipping update. +2025-10-31 16:28:04,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,437 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,439 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:04,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:04,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=13.48, mean=-0.004476, std=3.766, absmax=15.31 +2025-10-31 16:28:04,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=11.82, mean=-0.02422, std=3.381, absmax=12.78 +2025-10-31 16:28:04,938 ERROR: Encountered non-finite generator loss at iter 2330; skipping update. +2025-10-31 16:28:04,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:04,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:04,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:04,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:04,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=17.49, mean=-0.3841, std=3.414, absmax=17.49 +2025-10-31 16:28:04,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.15, max=10.98, mean=-0.3354, std=3.061, absmax=14.15 +2025-10-31 16:28:05,442 ERROR: Encountered non-finite generator loss at iter 2331; skipping update. +2025-10-31 16:28:05,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,444 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:05,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:05,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=14.28, mean=-0.154, std=2.621, absmax=14.28 +2025-10-31 16:28:05,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.516, max=11.3, mean=-0.1513, std=2.338, absmax=11.3 +2025-10-31 16:28:05,944 ERROR: Encountered non-finite generator loss at iter 2332; skipping update. +2025-10-31 16:28:05,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:05,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:05,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:05,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:05,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.62, mean=-0.09706, std=3.129, absmax=13.06 +2025-10-31 16:28:05,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.642, max=8.929, mean=-0.1071, std=2.613, absmax=9.642 +2025-10-31 16:28:06,447 ERROR: Encountered non-finite generator loss at iter 2333; skipping update. +2025-10-31 16:28:06,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:06,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:06,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=15.08, mean=0.04619, std=3.006, absmax=15.08 +2025-10-31 16:28:06,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.25, mean=-0.0307, std=2.536, absmax=11.25 +2025-10-31 16:28:06,950 ERROR: Encountered non-finite generator loss at iter 2334; skipping update. +2025-10-31 16:28:06,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,953 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,954 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:06,955 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:06,956 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:06,957 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:06,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.26, mean=-0.1953, std=2.912, absmax=13.3 +2025-10-31 16:28:06,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.364, mean=-0.201, std=2.379, absmax=10.56 +2025-10-31 16:28:07,453 ERROR: Encountered non-finite generator loss at iter 2335; skipping update. +2025-10-31 16:28:07,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:07,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:07,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.98, mean=-0.2716, std=3.189, absmax=13.98 +2025-10-31 16:28:07,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.268, mean=-0.2032, std=2.617, absmax=10.75 +2025-10-31 16:28:07,955 ERROR: Encountered non-finite generator loss at iter 2336; skipping update. +2025-10-31 16:28:07,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:07,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:07,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:07,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:07,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.46, mean=0.07624, std=3.131, absmax=13.46 +2025-10-31 16:28:07,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.196, max=11.9, mean=0.06653, std=2.837, absmax=11.9 +2025-10-31 16:28:08,458 ERROR: Encountered non-finite generator loss at iter 2337; skipping update. +2025-10-31 16:28:08,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:08,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:08,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.34, mean=-0.1849, std=2.67, absmax=13.34 +2025-10-31 16:28:08,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.957, max=11.35, mean=-0.1968, std=2.235, absmax=11.35 +2025-10-31 16:28:08,962 ERROR: Encountered non-finite generator loss at iter 2338; skipping update. +2025-10-31 16:28:08,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:08,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:08,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:08,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:08,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=16.78, mean=-0.1676, std=3.085, absmax=16.78 +2025-10-31 16:28:08,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.153, mean=-0.2154, std=2.57, absmax=10.13 +2025-10-31 16:28:09,464 ERROR: Encountered non-finite generator loss at iter 2339; skipping update. +2025-10-31 16:28:09,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:09,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:09,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.36, mean=-0.236, std=2.994, absmax=13.36 +2025-10-31 16:28:09,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=11.03, mean=-0.1921, std=2.595, absmax=11.03 +2025-10-31 16:28:09,967 ERROR: Encountered non-finite generator loss at iter 2340; skipping update. +2025-10-31 16:28:09,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,970 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:09,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:09,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:09,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:09,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.68, mean=-0.2473, std=2.418, absmax=13.01 +2025-10-31 16:28:09,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=10.63, mean=-0.247, std=2.132, absmax=10.63 +2025-10-31 16:28:10,470 ERROR: Encountered non-finite generator loss at iter 2341; skipping update. +2025-10-31 16:28:10,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:10,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:10,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.3, mean=0.06638, std=3.122, absmax=13.3 +2025-10-31 16:28:10,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=10.02, mean=0.04176, std=2.471, absmax=10.02 +2025-10-31 16:28:10,975 ERROR: Encountered non-finite generator loss at iter 2342; skipping update. +2025-10-31 16:28:10,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:10,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:10,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:10,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:10,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.13, mean=0.07573, std=3.044, absmax=14.13 +2025-10-31 16:28:10,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=10.94, mean=0.05756, std=2.47, absmax=10.94 +2025-10-31 16:28:11,474 ERROR: Encountered non-finite generator loss at iter 2343; skipping update. +2025-10-31 16:28:11,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:11,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:11,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=10.29, mean=-0.218, std=2.807, absmax=12.54 +2025-10-31 16:28:11,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=7.858, mean=-0.2161, std=2.326, absmax=10.89 +2025-10-31 16:28:11,978 ERROR: Encountered non-finite generator loss at iter 2344; skipping update. +2025-10-31 16:28:11,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,984 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:11,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:11,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:11,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:11,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.01, mean=-0.2378, std=3.31, absmax=14.01 +2025-10-31 16:28:11,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.745, mean=-0.2621, std=2.647, absmax=10.31 +2025-10-31 16:28:12,483 ERROR: Encountered non-finite generator loss at iter 2345; skipping update. +2025-10-31 16:28:12,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:12,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:12,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=10.76, mean=-0.2229, std=2.613, absmax=10.76 +2025-10-31 16:28:12,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=7.681, mean=-0.2259, std=2.334, absmax=9.974 +2025-10-31 16:28:12,987 ERROR: Encountered non-finite generator loss at iter 2346; skipping update. +2025-10-31 16:28:12,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:12,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:12,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:12,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:12,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.91, mean=-0.09413, std=3.54, absmax=13.91 +2025-10-31 16:28:12,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.635, max=10.92, mean=-0.06536, std=2.893, absmax=10.92 +2025-10-31 16:28:13,489 ERROR: Encountered non-finite generator loss at iter 2347; skipping update. +2025-10-31 16:28:13,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:13,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:13,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.98, mean=-0.2012, std=2.964, absmax=12.98 +2025-10-31 16:28:13,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.815, max=9.453, mean=-0.1933, std=2.378, absmax=9.453 +2025-10-31 16:28:13,989 ERROR: Encountered non-finite generator loss at iter 2348; skipping update. +2025-10-31 16:28:13,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:13,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:13,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:13,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:13,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=12.54, mean=-0.1184, std=2.796, absmax=13.9 +2025-10-31 16:28:13,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.382, max=8.934, mean=-0.1243, std=2.199, absmax=8.934 +2025-10-31 16:28:14,491 ERROR: Encountered non-finite generator loss at iter 2349; skipping update. +2025-10-31 16:28:14,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:14,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:14,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:14,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:14,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:14,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:14,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:14,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:14,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.99, mean=0.02026, std=3.408, absmax=13.99 +2025-10-31 16:28:14,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=11.73, mean=-0.03063, std=2.906, absmax=11.73 +2025-10-31 16:28:14,997 ERROR: Encountered non-finite generator loss at iter 2350; skipping update. +2025-10-31 16:28:14,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:14,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:15,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:15,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:15,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:15,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.18, mean=-0.03617, std=2.979, absmax=12.18 +2025-10-31 16:28:15,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.404, max=9.981, mean=-0.06539, std=2.499, absmax=9.981 +2025-10-31 16:28:15,501 ERROR: Encountered non-finite generator loss at iter 2351; skipping update. +2025-10-31 16:28:15,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:15,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:15,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:15,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:15,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:15,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:15,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=15.73, mean=0.1218, std=3.915, absmax=15.73 +2025-10-31 16:28:15,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=13.89, mean=0.114, std=3.29, absmax=13.89 +2025-10-31 16:28:16,004 ERROR: Encountered non-finite generator loss at iter 2352; skipping update. +2025-10-31 16:28:16,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:16,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:16,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.18, mean=-0.08277, std=2.931, absmax=14.58 +2025-10-31 16:28:16,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.174, mean=-0.09342, std=2.555, absmax=10.86 +2025-10-31 16:28:16,503 ERROR: Encountered non-finite generator loss at iter 2353; skipping update. +2025-10-31 16:28:16,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:16,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:16,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:16,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:16,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.08, mean=-0.2943, std=2.928, absmax=12.08 +2025-10-31 16:28:16,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.455, max=8.237, mean=-0.3075, std=2.433, absmax=9.455 +2025-10-31 16:28:17,004 ERROR: Encountered non-finite generator loss at iter 2354; skipping update. +2025-10-31 16:28:17,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:17,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:17,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.53, mean=-0.3064, std=2.697, absmax=13.83 +2025-10-31 16:28:17,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=9.07, mean=-0.2867, std=2.395, absmax=12.35 +2025-10-31 16:28:17,505 ERROR: Encountered non-finite generator loss at iter 2355; skipping update. +2025-10-31 16:28:17,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:17,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:17,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:17,514 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:17,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.29, mean=-0.2557, std=3.279, absmax=13.29 +2025-10-31 16:28:17,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.794, max=11.51, mean=-0.2622, std=2.703, absmax=11.51 +2025-10-31 16:28:18,007 ERROR: Encountered non-finite generator loss at iter 2356; skipping update. +2025-10-31 16:28:18,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:18,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:18,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.18, mean=0.1084, std=3.313, absmax=12.71 +2025-10-31 16:28:18,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.588, max=10.92, mean=0.107, std=2.841, absmax=10.92 +2025-10-31 16:28:18,509 ERROR: Encountered non-finite generator loss at iter 2357; skipping update. +2025-10-31 16:28:18,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:18,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:18,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:18,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:18,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.68, mean=0.04447, std=3.369, absmax=14.09 +2025-10-31 16:28:18,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.42, mean=0.02071, std=2.801, absmax=11.42 +2025-10-31 16:28:19,007 ERROR: Encountered non-finite generator loss at iter 2358; skipping update. +2025-10-31 16:28:19,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:19,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:19,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=11.7, mean=-0.205, std=3.069, absmax=13.91 +2025-10-31 16:28:19,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=8.302, mean=-0.1807, std=2.443, absmax=11.82 +2025-10-31 16:28:19,511 ERROR: Encountered non-finite generator loss at iter 2359; skipping update. +2025-10-31 16:28:19,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,514 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:19,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:19,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:19,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:19,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.05, mean=-0.1624, std=2.82, absmax=12.05 +2025-10-31 16:28:19,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.086, max=8.782, mean=-0.1538, std=2.392, absmax=9.086 +2025-10-31 16:28:20,008 ERROR: Encountered non-finite generator loss at iter 2360; skipping update. +2025-10-31 16:28:20,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:20,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:20,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.01, mean=0.1378, std=3.217, absmax=14.01 +2025-10-31 16:28:20,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.873, max=11.16, mean=0.05179, std=2.646, absmax=11.16 +2025-10-31 16:28:20,508 ERROR: Encountered non-finite generator loss at iter 2361; skipping update. +2025-10-31 16:28:20,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:20,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:20,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:20,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:20,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=13.55, mean=-0.1581, std=2.757, absmax=13.55 +2025-10-31 16:28:20,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.82, mean=-0.1649, std=2.407, absmax=10.82 +2025-10-31 16:28:21,011 ERROR: Encountered non-finite generator loss at iter 2362; skipping update. +2025-10-31 16:28:21,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,014 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,016 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,017 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:21,018 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:21,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.95, mean=-0.1633, std=3.91, absmax=13.46 +2025-10-31 16:28:21,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=11.4, mean=-0.1659, std=3.285, absmax=11.88 +2025-10-31 16:28:21,513 ERROR: Encountered non-finite generator loss at iter 2363; skipping update. +2025-10-31 16:28:21,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:21,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:21,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:21,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:21,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=13.03, mean=-0.2933, std=3.372, absmax=15.67 +2025-10-31 16:28:21,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=9.974, mean=-0.2483, std=2.908, absmax=12.9 +2025-10-31 16:28:22,015 ERROR: Encountered non-finite generator loss at iter 2364; skipping update. +2025-10-31 16:28:22,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:22,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:22,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=15.59, mean=-0.04441, std=3.356, absmax=15.59 +2025-10-31 16:28:22,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=13.78, mean=-0.05806, std=2.995, absmax=13.78 +2025-10-31 16:28:22,515 ERROR: Encountered non-finite generator loss at iter 2365; skipping update. +2025-10-31 16:28:22,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:22,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:22,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:22,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:22,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.31, mean=-0.159, std=3.753, absmax=14.31 +2025-10-31 16:28:22,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=11.26, mean=-0.1798, std=3.159, absmax=11.64 +2025-10-31 16:28:23,016 ERROR: Encountered non-finite generator loss at iter 2366; skipping update. +2025-10-31 16:28:23,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:23,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:23,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.36, mean=-0.3386, std=2.601, absmax=12.36 +2025-10-31 16:28:23,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.348, max=8.204, mean=-0.3175, std=2.127, absmax=9.348 +2025-10-31 16:28:23,518 ERROR: Encountered non-finite generator loss at iter 2367; skipping update. +2025-10-31 16:28:23,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:23,524 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:23,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:23,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:23,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=11.83, mean=-0.2402, std=2.493, absmax=11.83 +2025-10-31 16:28:23,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.12, max=9.007, mean=-0.2313, std=2.071, absmax=9.12 +2025-10-31 16:28:24,019 ERROR: Encountered non-finite generator loss at iter 2368; skipping update. +2025-10-31 16:28:24,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:24,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:24,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.24, mean=-0.2927, std=3.32, absmax=15.24 +2025-10-31 16:28:24,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=8.246, mean=-0.3021, std=2.784, absmax=11.5 +2025-10-31 16:28:24,519 ERROR: Encountered non-finite generator loss at iter 2369; skipping update. +2025-10-31 16:28:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:24,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:24,525 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:24,526 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:24,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.31, mean=-0.2717, std=3.506, absmax=13.31 +2025-10-31 16:28:24,528 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.27, mean=-0.173, std=2.968, absmax=11.39 +2025-10-31 16:28:25,020 ERROR: Encountered non-finite generator loss at iter 2370; skipping update. +2025-10-31 16:28:25,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:25,028 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:25,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.76, mean=0.03299, std=3.494, absmax=13.76 +2025-10-31 16:28:25,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.98, mean=0.03384, std=2.881, absmax=11.98 +2025-10-31 16:28:25,522 ERROR: Encountered non-finite generator loss at iter 2371; skipping update. +2025-10-31 16:28:25,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:25,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:25,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:25,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:25,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=9.206, mean=-0.1621, std=2.445, absmax=11.06 +2025-10-31 16:28:25,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.398, max=8.991, mean=-0.1108, std=2.221, absmax=9.398 +2025-10-31 16:28:26,023 ERROR: Encountered non-finite generator loss at iter 2372; skipping update. +2025-10-31 16:28:26,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:26,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:26,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=12.41, mean=-0.293, std=3.14, absmax=15.32 +2025-10-31 16:28:26,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.48, max=9.503, mean=-0.2722, std=2.687, absmax=13.48 +2025-10-31 16:28:26,525 ERROR: Encountered non-finite generator loss at iter 2373; skipping update. +2025-10-31 16:28:26,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:26,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:26,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:26,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:26,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.51, mean=-0.3453, std=3.224, absmax=14.51 +2025-10-31 16:28:26,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.443, mean=-0.3388, std=2.711, absmax=10.88 +2025-10-31 16:28:27,026 ERROR: Encountered non-finite generator loss at iter 2374; skipping update. +2025-10-31 16:28:27,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:27,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:27,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.28, mean=-0.1638, std=2.49, absmax=11.49 +2025-10-31 16:28:27,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.302, max=8.923, mean=-0.1262, std=2.215, absmax=9.302 +2025-10-31 16:28:27,530 ERROR: Encountered non-finite generator loss at iter 2375; skipping update. +2025-10-31 16:28:27,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:27,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:27,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:27,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:27,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.28, mean=0.174, std=3.129, absmax=13.28 +2025-10-31 16:28:27,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.295, max=10.29, mean=0.1032, std=2.542, absmax=10.29 +2025-10-31 16:28:28,033 ERROR: Encountered non-finite generator loss at iter 2376; skipping update. +2025-10-31 16:28:28,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:28,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:28,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.13, mean=-0.05135, std=2.955, absmax=13.21 +2025-10-31 16:28:28,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.968, mean=-0.03742, std=2.378, absmax=10.83 +2025-10-31 16:28:28,536 ERROR: Encountered non-finite generator loss at iter 2377; skipping update. +2025-10-31 16:28:28,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:28,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:28,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:28,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:28,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.82, mean=-0.284, std=2.955, absmax=13.82 +2025-10-31 16:28:28,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=9.03, mean=-0.2523, std=2.531, absmax=10.53 +2025-10-31 16:28:29,038 ERROR: Encountered non-finite generator loss at iter 2378; skipping update. +2025-10-31 16:28:29,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,044 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,045 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,046 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:29,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:29,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.52, mean=0.0627, std=2.775, absmax=12.52 +2025-10-31 16:28:29,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.73, max=8.833, mean=0.02045, std=2.315, absmax=8.833 +2025-10-31 16:28:29,541 ERROR: Encountered non-finite generator loss at iter 2379; skipping update. +2025-10-31 16:28:29,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:29,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:29,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:29,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:29,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.47, mean=-0.08529, std=3.378, absmax=12.47 +2025-10-31 16:28:29,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.41, max=9.462, mean=-0.04471, std=2.922, absmax=12.41 +2025-10-31 16:28:30,044 ERROR: Encountered non-finite generator loss at iter 2380; skipping update. +2025-10-31 16:28:30,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:30,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:30,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=10.77, mean=-0.3247, std=3.425, absmax=14.33 +2025-10-31 16:28:30,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=10.13, mean=-0.2487, std=3.047, absmax=13.26 +2025-10-31 16:28:30,550 ERROR: Encountered non-finite generator loss at iter 2381; skipping update. +2025-10-31 16:28:30,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,553 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:30,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:30,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:30,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:30,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.88, mean=-0.232, std=2.566, absmax=11.99 +2025-10-31 16:28:30,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.904, mean=-0.2311, std=2.2, absmax=11.38 +2025-10-31 16:28:31,053 ERROR: Encountered non-finite generator loss at iter 2382; skipping update. +2025-10-31 16:28:31,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,059 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:31,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:31,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=17.11, mean=-0.3009, std=3.038, absmax=17.11 +2025-10-31 16:28:31,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.257, mean=-0.2658, std=2.403, absmax=10.44 +2025-10-31 16:28:31,556 ERROR: Encountered non-finite generator loss at iter 2383; skipping update. +2025-10-31 16:28:31,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:31,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:31,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:31,564 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:31,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.43, max=19.54, mean=-0.07603, std=3.481, absmax=19.54 +2025-10-31 16:28:31,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=15.61, mean=-0.1205, std=2.946, absmax=15.61 +2025-10-31 16:28:32,060 ERROR: Encountered non-finite generator loss at iter 2384; skipping update. +2025-10-31 16:28:32,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:32,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:32,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.22, mean=-0.1241, std=3.132, absmax=12.23 +2025-10-31 16:28:32,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.26, mean=-0.08718, std=2.608, absmax=11.11 +2025-10-31 16:28:32,563 ERROR: Encountered non-finite generator loss at iter 2385; skipping update. +2025-10-31 16:28:32,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:32,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:32,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:32,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:32,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.8, mean=-0.02942, std=3.267, absmax=14.8 +2025-10-31 16:28:32,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=13.14, mean=-0.04947, std=2.867, absmax=13.14 +2025-10-31 16:28:33,067 ERROR: Encountered non-finite generator loss at iter 2386; skipping update. +2025-10-31 16:28:33,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,071 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:33,073 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:33,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.2, mean=-0.263, std=2.989, absmax=14.75 +2025-10-31 16:28:33,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.74, max=8.852, mean=-0.3026, std=2.365, absmax=8.852 +2025-10-31 16:28:33,569 ERROR: Encountered non-finite generator loss at iter 2387; skipping update. +2025-10-31 16:28:33,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:33,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:33,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:33,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:33,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.83, mean=-0.3075, std=3.299, absmax=13.86 +2025-10-31 16:28:33,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=8.995, mean=-0.3091, std=2.669, absmax=12.32 +2025-10-31 16:28:34,071 ERROR: Encountered non-finite generator loss at iter 2388; skipping update. +2025-10-31 16:28:34,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:34,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:34,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.03, mean=-0.2715, std=3.264, absmax=14 +2025-10-31 16:28:34,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=9.541, mean=-0.2895, std=2.878, absmax=12.39 +2025-10-31 16:28:34,575 ERROR: Encountered non-finite generator loss at iter 2389; skipping update. +2025-10-31 16:28:34,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:34,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:34,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:34,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:34,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.7, mean=-0.07402, std=3.254, absmax=13.7 +2025-10-31 16:28:34,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=10.87, mean=-0.09223, std=2.724, absmax=11.67 +2025-10-31 16:28:35,078 ERROR: Encountered non-finite generator loss at iter 2390; skipping update. +2025-10-31 16:28:35,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:35,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:35,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.21, mean=-0.1169, std=3.11, absmax=14.21 +2025-10-31 16:28:35,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.39, mean=-0.1125, std=2.643, absmax=11.39 +2025-10-31 16:28:35,582 ERROR: Encountered non-finite generator loss at iter 2391; skipping update. +2025-10-31 16:28:35,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:35,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:35,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:35,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:35,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.39, mean=-0.0336, std=3.195, absmax=14.39 +2025-10-31 16:28:35,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.25, mean=-0.02572, std=2.777, absmax=11.74 +2025-10-31 16:28:36,087 ERROR: Encountered non-finite generator loss at iter 2392; skipping update. +2025-10-31 16:28:36,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:36,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:36,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=14.32, mean=-0.1659, std=2.916, absmax=14.32 +2025-10-31 16:28:36,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.99, max=8.553, mean=-0.1688, std=2.43, absmax=9.99 +2025-10-31 16:28:36,586 ERROR: Encountered non-finite generator loss at iter 2393; skipping update. +2025-10-31 16:28:36,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:36,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:36,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:36,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:36,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=9.976, mean=-0.1914, std=2.549, absmax=11.49 +2025-10-31 16:28:36,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.793, max=8.273, mean=-0.1714, std=2.228, absmax=9.793 +2025-10-31 16:28:37,091 ERROR: Encountered non-finite generator loss at iter 2394; skipping update. +2025-10-31 16:28:37,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:37,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:37,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.89, mean=-0.0598, std=3.242, absmax=14 +2025-10-31 16:28:37,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.06, mean=-0.1113, std=2.504, absmax=11.06 +2025-10-31 16:28:37,597 ERROR: Encountered non-finite generator loss at iter 2395; skipping update. +2025-10-31 16:28:37,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:37,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:37,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:37,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:37,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.55, mean=-0.1681, std=2.998, absmax=12.55 +2025-10-31 16:28:37,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.1, mean=-0.1661, std=2.48, absmax=10.1 +2025-10-31 16:28:38,101 ERROR: Encountered non-finite generator loss at iter 2396; skipping update. +2025-10-31 16:28:38,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:38,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:38,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.56, mean=-0.2484, std=2.471, absmax=12.56 +2025-10-31 16:28:38,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.452, max=7.682, mean=-0.2591, std=2.061, absmax=8.452 +2025-10-31 16:28:38,604 ERROR: Encountered non-finite generator loss at iter 2397; skipping update. +2025-10-31 16:28:38,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:38,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:38,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:38,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:38,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=16.02, mean=-0.1751, std=2.884, absmax=16.02 +2025-10-31 16:28:38,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.728, max=13.19, mean=-0.1732, std=2.472, absmax=13.19 +2025-10-31 16:28:39,107 ERROR: Encountered non-finite generator loss at iter 2398; skipping update. +2025-10-31 16:28:39,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:39,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:39,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.82, mean=-0.1799, std=2.815, absmax=12.82 +2025-10-31 16:28:39,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.301, max=8.383, mean=-0.1366, std=2.384, absmax=9.301 +2025-10-31 16:28:39,609 ERROR: Encountered non-finite generator loss at iter 2399; skipping update. +2025-10-31 16:28:39,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:39,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:39,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:39,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:39,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.98, mean=0.1122, std=3.703, absmax=13.98 +2025-10-31 16:28:39,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.36, mean=0.1591, std=3.075, absmax=11.36 +2025-10-31 16:28:40,113 ERROR: Encountered non-finite generator loss at iter 2400; skipping update. +2025-10-31 16:28:40,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:40,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:40,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=11.11, mean=-0.1422, std=2.871, absmax=11.11 +2025-10-31 16:28:40,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.473, mean=-0.1717, std=2.562, absmax=10.09 +2025-10-31 16:28:40,124 INFO: [29..][epoch: 0, step: 2,400, lr:(1.500e-04,)] [eta: 1 day, 18:22:36, time (data): 0.503 (0.000)] +2025-10-31 16:28:40,617 ERROR: Encountered non-finite generator loss at iter 2401; skipping update. +2025-10-31 16:28:40,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:40,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:40,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:40,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:40,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=16.72, mean=0.02924, std=3.129, absmax=16.72 +2025-10-31 16:28:40,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=12.06, mean=0.001872, std=2.671, absmax=12.06 +2025-10-31 16:28:41,121 ERROR: Encountered non-finite generator loss at iter 2402; skipping update. +2025-10-31 16:28:41,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:41,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:41,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.01, mean=-0.1816, std=3.176, absmax=15.01 +2025-10-31 16:28:41,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.19, mean=-0.1704, std=2.617, absmax=10.45 +2025-10-31 16:28:41,622 ERROR: Encountered non-finite generator loss at iter 2403; skipping update. +2025-10-31 16:28:41,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:41,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:41,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:41,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:41,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.64, mean=-0.03837, std=3.105, absmax=14.64 +2025-10-31 16:28:41,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.902, max=13.34, mean=-0.04457, std=2.718, absmax=13.34 +2025-10-31 16:28:42,125 ERROR: Encountered non-finite generator loss at iter 2404; skipping update. +2025-10-31 16:28:42,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:42,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:42,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.7, mean=-0.297, std=3.565, absmax=13.47 +2025-10-31 16:28:42,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=9.018, mean=-0.2656, std=3.019, absmax=11.71 +2025-10-31 16:28:42,637 ERROR: Encountered non-finite generator loss at iter 2405; skipping update. +2025-10-31 16:28:42,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:42,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:42,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:42,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:42,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.03, mean=-0.1141, std=2.955, absmax=13.03 +2025-10-31 16:28:42,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.836, max=9.83, mean=-0.1066, std=2.494, absmax=9.83 +2025-10-31 16:28:43,140 ERROR: Encountered non-finite generator loss at iter 2406; skipping update. +2025-10-31 16:28:43,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:43,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:43,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.39, mean=-0.1619, std=2.863, absmax=12.39 +2025-10-31 16:28:43,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.894, max=8.839, mean=-0.1371, std=2.422, absmax=8.894 +2025-10-31 16:28:43,644 ERROR: Encountered non-finite generator loss at iter 2407; skipping update. +2025-10-31 16:28:43,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:43,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:43,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:43,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:43,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.43, mean=0.1407, std=3.174, absmax=13.43 +2025-10-31 16:28:43,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=11.59, mean=0.06969, std=2.576, absmax=11.59 +2025-10-31 16:28:44,148 ERROR: Encountered non-finite generator loss at iter 2408; skipping update. +2025-10-31 16:28:44,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:44,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:44,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.67, mean=-0.3175, std=3.539, absmax=14.67 +2025-10-31 16:28:44,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.554, mean=-0.3271, std=2.98, absmax=10.47 +2025-10-31 16:28:44,653 ERROR: Encountered non-finite generator loss at iter 2409; skipping update. +2025-10-31 16:28:44,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:44,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:44,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:44,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:44,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.52, mean=-0.08229, std=3.108, absmax=13.23 +2025-10-31 16:28:44,664 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.55, max=9.64, mean=-0.08333, std=2.542, absmax=9.64 +2025-10-31 16:28:45,158 ERROR: Encountered non-finite generator loss at iter 2410; skipping update. +2025-10-31 16:28:45,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:45,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:45,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=14.2, mean=0.06811, std=3.459, absmax=15.72 +2025-10-31 16:28:45,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=10.2, mean=0.06937, std=2.744, absmax=10.2 +2025-10-31 16:28:45,658 ERROR: Encountered non-finite generator loss at iter 2411; skipping update. +2025-10-31 16:28:45,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:45,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:45,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:45,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:45,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=9.875, mean=-0.3009, std=2.623, absmax=11.77 +2025-10-31 16:28:45,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.272, max=7.775, mean=-0.321, std=2.382, absmax=9.272 +2025-10-31 16:28:46,160 ERROR: Encountered non-finite generator loss at iter 2412; skipping update. +2025-10-31 16:28:46,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:46,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:46,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=15.73, mean=0.09091, std=3.455, absmax=15.73 +2025-10-31 16:28:46,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.65, max=13.95, mean=0.01879, std=2.882, absmax=13.95 +2025-10-31 16:28:46,663 ERROR: Encountered non-finite generator loss at iter 2413; skipping update. +2025-10-31 16:28:46,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:46,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:46,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:46,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:46,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.02, mean=-0.0628, std=2.989, absmax=14.02 +2025-10-31 16:28:46,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.552, max=11.64, mean=-0.101, std=2.439, absmax=11.64 +2025-10-31 16:28:47,167 ERROR: Encountered non-finite generator loss at iter 2414; skipping update. +2025-10-31 16:28:47,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:47,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:47,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.75, mean=-0.2168, std=2.947, absmax=14.75 +2025-10-31 16:28:47,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.678, max=9.477, mean=-0.2084, std=2.462, absmax=9.678 +2025-10-31 16:28:47,672 ERROR: Encountered non-finite generator loss at iter 2415; skipping update. +2025-10-31 16:28:47,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:47,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:47,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:47,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:47,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.63, mean=-0.2537, std=2.855, absmax=14.23 +2025-10-31 16:28:47,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.65, mean=-0.2328, std=2.376, absmax=10.65 +2025-10-31 16:28:48,176 ERROR: Encountered non-finite generator loss at iter 2416; skipping update. +2025-10-31 16:28:48,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:48,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:48,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=10.77, mean=-0.1073, std=2.341, absmax=10.83 +2025-10-31 16:28:48,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.037, max=9.103, mean=-0.1342, std=2.054, absmax=9.103 +2025-10-31 16:28:48,681 ERROR: Encountered non-finite generator loss at iter 2417; skipping update. +2025-10-31 16:28:48,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:48,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:48,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:48,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:48,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.49, mean=-0.08846, std=3.086, absmax=13.49 +2025-10-31 16:28:48,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.612, max=10.02, mean=-0.07476, std=2.483, absmax=10.02 +2025-10-31 16:28:49,184 ERROR: Encountered non-finite generator loss at iter 2418; skipping update. +2025-10-31 16:28:49,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:49,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:49,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=10.07, mean=-0.2815, std=2.504, absmax=11.73 +2025-10-31 16:28:49,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.352, max=8.338, mean=-0.2493, std=2.023, absmax=8.352 +2025-10-31 16:28:49,690 ERROR: Encountered non-finite generator loss at iter 2419; skipping update. +2025-10-31 16:28:49,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:49,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:49,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:49,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:49,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=10.42, mean=-0.06783, std=3.071, absmax=14.42 +2025-10-31 16:28:49,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.357, mean=-0.08023, std=2.506, absmax=10.71 +2025-10-31 16:28:50,194 ERROR: Encountered non-finite generator loss at iter 2420; skipping update. +2025-10-31 16:28:50,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,197 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,201 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:50,202 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:50,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.58, mean=-0.1922, std=2.773, absmax=11.24 +2025-10-31 16:28:50,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=8.87, mean=-0.1706, std=2.432, absmax=11.87 +2025-10-31 16:28:50,698 ERROR: Encountered non-finite generator loss at iter 2421; skipping update. +2025-10-31 16:28:50,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:50,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:50,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:50,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:50,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.47, mean=-0.1914, std=2.6, absmax=13.47 +2025-10-31 16:28:50,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.627, max=9.262, mean=-0.1671, std=2.106, absmax=9.262 +2025-10-31 16:28:51,202 ERROR: Encountered non-finite generator loss at iter 2422; skipping update. +2025-10-31 16:28:51,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:51,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:51,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=13, mean=-0.3613, std=3.481, absmax=15.29 +2025-10-31 16:28:51,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.34, max=10.07, mean=-0.3599, std=3.113, absmax=13.34 +2025-10-31 16:28:51,704 ERROR: Encountered non-finite generator loss at iter 2423; skipping update. +2025-10-31 16:28:51,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:51,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:51,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:51,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:51,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.35, mean=-0.1866, std=3.315, absmax=12.51 +2025-10-31 16:28:51,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.321, mean=-0.1604, std=2.769, absmax=11.28 +2025-10-31 16:28:52,210 ERROR: Encountered non-finite generator loss at iter 2424; skipping update. +2025-10-31 16:28:52,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,213 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:52,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:52,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.66, mean=-0.319, std=3.046, absmax=12.66 +2025-10-31 16:28:52,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=8.907, mean=-0.3098, std=2.523, absmax=11.55 +2025-10-31 16:28:52,713 ERROR: Encountered non-finite generator loss at iter 2425; skipping update. +2025-10-31 16:28:52,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:52,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:52,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:52,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:52,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=18.32, mean=0.2171, std=3.488, absmax=18.32 +2025-10-31 16:28:52,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.823, max=13.53, mean=0.2123, std=2.993, absmax=13.53 +2025-10-31 16:28:53,215 ERROR: Encountered non-finite generator loss at iter 2426; skipping update. +2025-10-31 16:28:53,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:53,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:53,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=15.28, mean=-0.105, std=2.846, absmax=15.28 +2025-10-31 16:28:53,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.466, max=9.29, mean=-0.15, std=2.3, absmax=9.29 +2025-10-31 16:28:53,718 ERROR: Encountered non-finite generator loss at iter 2427; skipping update. +2025-10-31 16:28:53,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:53,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:53,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:53,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:53,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.89, mean=-0.1411, std=2.935, absmax=13.63 +2025-10-31 16:28:53,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.49, max=14, mean=-0.1517, std=2.591, absmax=14 +2025-10-31 16:28:54,222 ERROR: Encountered non-finite generator loss at iter 2428; skipping update. +2025-10-31 16:28:54,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:54,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:54,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.08, mean=-0.2473, std=2.842, absmax=13.95 +2025-10-31 16:28:54,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=10.35, mean=-0.1923, std=2.462, absmax=12.57 +2025-10-31 16:28:54,725 ERROR: Encountered non-finite generator loss at iter 2429; skipping update. +2025-10-31 16:28:54,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:54,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:54,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:54,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:54,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.65, mean=-0.2258, std=2.989, absmax=12.65 +2025-10-31 16:28:54,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.084, mean=-0.2549, std=2.387, absmax=10.11 +2025-10-31 16:28:55,230 ERROR: Encountered non-finite generator loss at iter 2430; skipping update. +2025-10-31 16:28:55,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,233 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:55,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:55,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=10.84, mean=-0.2393, std=3.031, absmax=13.66 +2025-10-31 16:28:55,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.404, mean=-0.2415, std=2.566, absmax=11.08 +2025-10-31 16:28:55,733 ERROR: Encountered non-finite generator loss at iter 2431; skipping update. +2025-10-31 16:28:55,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:55,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:55,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:55,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:55,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=16.24, mean=0.04828, std=3.074, absmax=16.24 +2025-10-31 16:28:55,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.695, max=13.35, mean=0.02935, std=2.657, absmax=13.35 +2025-10-31 16:28:56,236 ERROR: Encountered non-finite generator loss at iter 2432; skipping update. +2025-10-31 16:28:56,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:56,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:56,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.52, mean=-0.1494, std=2.934, absmax=14.52 +2025-10-31 16:28:56,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.63, mean=-0.1805, std=2.49, absmax=10.75 +2025-10-31 16:28:56,739 ERROR: Encountered non-finite generator loss at iter 2433; skipping update. +2025-10-31 16:28:56,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:56,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:56,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:56,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:56,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.28, mean=-0.1077, std=2.981, absmax=12.7 +2025-10-31 16:28:56,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.694, max=10.22, mean=-0.1125, std=2.47, absmax=10.22 +2025-10-31 16:28:57,246 ERROR: Encountered non-finite generator loss at iter 2434; skipping update. +2025-10-31 16:28:57,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:57,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:57,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=18.13, mean=-0.2334, std=3.522, absmax=18.13 +2025-10-31 16:28:57,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=10.84, mean=-0.2223, std=2.985, absmax=12.5 +2025-10-31 16:28:57,751 ERROR: Encountered non-finite generator loss at iter 2435; skipping update. +2025-10-31 16:28:57,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,754 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:57,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:57,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:57,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:57,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.73, mean=-0.1886, std=2.696, absmax=12.73 +2025-10-31 16:28:57,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=9.835, mean=-0.1406, std=2.329, absmax=9.835 +2025-10-31 16:28:58,254 ERROR: Encountered non-finite generator loss at iter 2436; skipping update. +2025-10-31 16:28:58,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:58,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:58,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.5, mean=-0.06815, std=2.876, absmax=13.98 +2025-10-31 16:28:58,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.02, mean=-0.117, std=2.26, absmax=11.05 +2025-10-31 16:28:58,758 ERROR: Encountered non-finite generator loss at iter 2437; skipping update. +2025-10-31 16:28:58,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:58,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:58,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:58,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:58,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.04, mean=-0.2042, std=2.894, absmax=14.04 +2025-10-31 16:28:58,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.24, mean=-0.1557, std=2.447, absmax=10.36 +2025-10-31 16:28:59,262 ERROR: Encountered non-finite generator loss at iter 2438; skipping update. +2025-10-31 16:28:59,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:59,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:59,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.6, mean=-0.2286, std=3.118, absmax=12.9 +2025-10-31 16:28:59,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.21, mean=-0.2434, std=2.558, absmax=10.61 +2025-10-31 16:28:59,766 ERROR: Encountered non-finite generator loss at iter 2439; skipping update. +2025-10-31 16:28:59,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:28:59,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:28:59,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:28:59,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:28:59,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.78, mean=-0.3594, std=3.249, absmax=13.58 +2025-10-31 16:28:59,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.205, mean=-0.3366, std=2.846, absmax=11.89 +2025-10-31 16:29:00,269 ERROR: Encountered non-finite generator loss at iter 2440; skipping update. +2025-10-31 16:29:00,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:00,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:00,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.92, mean=0.03672, std=3.357, absmax=13.38 +2025-10-31 16:29:00,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.89, max=10.81, mean=-0.007659, std=2.743, absmax=10.81 +2025-10-31 16:29:00,773 ERROR: Encountered non-finite generator loss at iter 2441; skipping update. +2025-10-31 16:29:00,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:00,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:00,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:00,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:00,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.73, mean=-0.1962, std=2.834, absmax=13.66 +2025-10-31 16:29:00,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.321, max=10.33, mean=-0.2015, std=2.336, absmax=10.33 +2025-10-31 16:29:01,277 ERROR: Encountered non-finite generator loss at iter 2442; skipping update. +2025-10-31 16:29:01,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:01,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:01,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11.61, mean=-0.2222, std=2.742, absmax=13.07 +2025-10-31 16:29:01,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.997, mean=-0.1821, std=2.51, absmax=10.43 +2025-10-31 16:29:01,779 ERROR: Encountered non-finite generator loss at iter 2443; skipping update. +2025-10-31 16:29:01,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:01,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:01,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:01,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:01,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=11.7, mean=-0.09213, std=2.797, absmax=11.7 +2025-10-31 16:29:01,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.936, max=9.003, mean=-0.09863, std=2.325, absmax=9.003 +2025-10-31 16:29:02,284 ERROR: Encountered non-finite generator loss at iter 2444; skipping update. +2025-10-31 16:29:02,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:02,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:02,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.78, mean=-0.2414, std=2.703, absmax=11.96 +2025-10-31 16:29:02,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.374, max=8.075, mean=-0.2501, std=2.221, absmax=8.374 +2025-10-31 16:29:02,785 ERROR: Encountered non-finite generator loss at iter 2445; skipping update. +2025-10-31 16:29:02,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:02,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:02,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:02,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:02,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.31, mean=-0.09792, std=2.692, absmax=12.31 +2025-10-31 16:29:02,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.949, max=10.44, mean=-0.07268, std=2.322, absmax=10.44 +2025-10-31 16:29:03,290 ERROR: Encountered non-finite generator loss at iter 2446; skipping update. +2025-10-31 16:29:03,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,294 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:03,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:03,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.33, mean=-0.1347, std=2.878, absmax=13.03 +2025-10-31 16:29:03,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.93, mean=-0.1013, std=2.457, absmax=10.27 +2025-10-31 16:29:03,794 ERROR: Encountered non-finite generator loss at iter 2447; skipping update. +2025-10-31 16:29:03,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:03,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:03,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:03,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:03,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=15.14, mean=-0.1017, std=2.903, absmax=15.14 +2025-10-31 16:29:03,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.415, max=9.4, mean=-0.1086, std=2.295, absmax=9.4 +2025-10-31 16:29:04,300 ERROR: Encountered non-finite generator loss at iter 2448; skipping update. +2025-10-31 16:29:04,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:04,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:04,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.63, mean=0.1131, std=3.445, absmax=14.63 +2025-10-31 16:29:04,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=12.55, mean=0.03867, std=2.791, absmax=12.55 +2025-10-31 16:29:04,801 ERROR: Encountered non-finite generator loss at iter 2449; skipping update. +2025-10-31 16:29:04,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,804 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:04,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:04,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:04,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:04,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.26, mean=-0.037, std=2.75, absmax=12.62 +2025-10-31 16:29:04,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.491, max=9.312, mean=-0.03066, std=2.523, absmax=9.491 +2025-10-31 16:29:05,299 ERROR: Encountered non-finite generator loss at iter 2450; skipping update. +2025-10-31 16:29:05,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:05,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:05,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.53, mean=-0.2127, std=2.523, absmax=12.9 +2025-10-31 16:29:05,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.356, max=9.911, mean=-0.2076, std=2.171, absmax=9.911 +2025-10-31 16:29:05,802 ERROR: Encountered non-finite generator loss at iter 2451; skipping update. +2025-10-31 16:29:05,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,804 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:05,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:05,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:05,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:05,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.12, mean=-0.2045, std=3.442, absmax=14.12 +2025-10-31 16:29:05,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.792, max=10.77, mean=-0.1972, std=2.621, absmax=10.77 +2025-10-31 16:29:06,304 ERROR: Encountered non-finite generator loss at iter 2452; skipping update. +2025-10-31 16:29:06,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:06,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:06,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=15.49, mean=-0.1771, std=3.178, absmax=15.49 +2025-10-31 16:29:06,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.327, max=11.57, mean=-0.1746, std=2.626, absmax=11.57 +2025-10-31 16:29:06,806 ERROR: Encountered non-finite generator loss at iter 2453; skipping update. +2025-10-31 16:29:06,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:06,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:06,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:06,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:06,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=10.95, mean=-0.2781, std=3.133, absmax=13.28 +2025-10-31 16:29:06,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.514, mean=-0.2498, std=2.68, absmax=10.43 +2025-10-31 16:29:07,310 ERROR: Encountered non-finite generator loss at iter 2454; skipping update. +2025-10-31 16:29:07,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:07,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:07,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.94, mean=-0.2621, std=2.589, absmax=11.46 +2025-10-31 16:29:07,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=8.211, mean=-0.2293, std=2.289, absmax=10.98 +2025-10-31 16:29:07,813 ERROR: Encountered non-finite generator loss at iter 2455; skipping update. +2025-10-31 16:29:07,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:07,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:07,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:07,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:07,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.76, mean=0.06954, std=3.824, absmax=14.76 +2025-10-31 16:29:07,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.486, max=13.31, mean=0.07112, std=3.192, absmax=13.31 +2025-10-31 16:29:08,316 ERROR: Encountered non-finite generator loss at iter 2456; skipping update. +2025-10-31 16:29:08,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:08,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:08,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=15.51, mean=0.08165, std=3.396, absmax=15.51 +2025-10-31 16:29:08,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.05, mean=0.08299, std=2.795, absmax=12.05 +2025-10-31 16:29:08,818 ERROR: Encountered non-finite generator loss at iter 2457; skipping update. +2025-10-31 16:29:08,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:08,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:08,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:08,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:08,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.24, mean=-0.1808, std=2.777, absmax=13.24 +2025-10-31 16:29:08,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.51, mean=-0.1648, std=2.39, absmax=10.51 +2025-10-31 16:29:09,322 ERROR: Encountered non-finite generator loss at iter 2458; skipping update. +2025-10-31 16:29:09,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:09,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:09,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=15.87, mean=0.008993, std=3.854, absmax=15.87 +2025-10-31 16:29:09,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=11.12, mean=0.01732, std=3.216, absmax=11.12 +2025-10-31 16:29:09,825 ERROR: Encountered non-finite generator loss at iter 2459; skipping update. +2025-10-31 16:29:09,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:09,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:09,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:09,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:09,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.19, mean=-0.1808, std=3.166, absmax=15.19 +2025-10-31 16:29:09,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=11.39, mean=-0.1568, std=2.538, absmax=11.73 +2025-10-31 16:29:10,328 ERROR: Encountered non-finite generator loss at iter 2460; skipping update. +2025-10-31 16:29:10,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:10,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:10,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=11.73, mean=-0.09455, std=3.328, absmax=13.71 +2025-10-31 16:29:10,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.37, mean=-0.0725, std=2.844, absmax=11.36 +2025-10-31 16:29:10,832 ERROR: Encountered non-finite generator loss at iter 2461; skipping update. +2025-10-31 16:29:10,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:10,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:10,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:10,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:10,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=10.77, mean=-0.2976, std=2.926, absmax=13.09 +2025-10-31 16:29:10,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=7.565, mean=-0.3055, std=2.335, absmax=9.376 +2025-10-31 16:29:11,337 ERROR: Encountered non-finite generator loss at iter 2462; skipping update. +2025-10-31 16:29:11,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:11,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:11,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.18, mean=-0.1514, std=2.594, absmax=14.18 +2025-10-31 16:29:11,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.13, max=11.46, mean=-0.1637, std=2.38, absmax=11.46 +2025-10-31 16:29:11,841 ERROR: Encountered non-finite generator loss at iter 2463; skipping update. +2025-10-31 16:29:11,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:11,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:11,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:11,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:11,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.01, mean=-0.1896, std=2.991, absmax=14.01 +2025-10-31 16:29:11,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.12, mean=-0.195, std=2.577, absmax=11.12 +2025-10-31 16:29:12,347 ERROR: Encountered non-finite generator loss at iter 2464; skipping update. +2025-10-31 16:29:12,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:12,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:12,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=11.89, mean=-0.3853, std=3.508, absmax=14.52 +2025-10-31 16:29:12,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.431, mean=-0.3519, std=2.889, absmax=10.78 +2025-10-31 16:29:12,851 ERROR: Encountered non-finite generator loss at iter 2465; skipping update. +2025-10-31 16:29:12,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,854 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,854 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:12,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:12,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:12,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:12,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.48, mean=-0.1247, std=2.982, absmax=14.34 +2025-10-31 16:29:12,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.73, max=9.941, mean=-0.145, std=2.629, absmax=12.73 +2025-10-31 16:29:13,357 ERROR: Encountered non-finite generator loss at iter 2466; skipping update. +2025-10-31 16:29:13,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,359 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,361 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,364 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:13,364 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:13,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=16.26, mean=-0.05992, std=3.335, absmax=16.26 +2025-10-31 16:29:13,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=12.81, mean=-0.04484, std=2.856, absmax=12.81 +2025-10-31 16:29:13,860 ERROR: Encountered non-finite generator loss at iter 2467; skipping update. +2025-10-31 16:29:13,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,863 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,864 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,866 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:13,867 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:13,868 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:13,869 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:13,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.33, mean=-0.08787, std=2.966, absmax=13.39 +2025-10-31 16:29:13,871 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=10.21, mean=-0.115, std=2.462, absmax=11.56 +2025-10-31 16:29:14,367 ERROR: Encountered non-finite generator loss at iter 2468; skipping update. +2025-10-31 16:29:14,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:14,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:14,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.01, mean=0.02308, std=3.295, absmax=14.01 +2025-10-31 16:29:14,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=11.97, mean=0.04386, std=2.926, absmax=11.97 +2025-10-31 16:29:14,872 ERROR: Encountered non-finite generator loss at iter 2469; skipping update. +2025-10-31 16:29:14,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:14,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:14,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:14,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:14,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=11.28, mean=-0.0934, std=2.881, absmax=11.39 +2025-10-31 16:29:14,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.36, max=10.01, mean=-0.06751, std=2.538, absmax=10.01 +2025-10-31 16:29:15,377 ERROR: Encountered non-finite generator loss at iter 2470; skipping update. +2025-10-31 16:29:15,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:15,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:15,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.19, mean=-0.08059, std=2.647, absmax=13.61 +2025-10-31 16:29:15,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.76, mean=-0.08913, std=2.191, absmax=11.39 +2025-10-31 16:29:15,881 ERROR: Encountered non-finite generator loss at iter 2471; skipping update. +2025-10-31 16:29:15,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:15,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:15,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:15,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:15,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=13.41, mean=0.03738, std=3.274, absmax=15.28 +2025-10-31 16:29:15,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.95, max=10.68, mean=-0.02399, std=2.764, absmax=12.95 +2025-10-31 16:29:16,386 ERROR: Encountered non-finite generator loss at iter 2472; skipping update. +2025-10-31 16:29:16,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:16,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:16,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=15.61, mean=0.00562, std=3.312, absmax=15.61 +2025-10-31 16:29:16,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.015, max=12.7, mean=0.02648, std=2.88, absmax=12.7 +2025-10-31 16:29:16,891 ERROR: Encountered non-finite generator loss at iter 2473; skipping update. +2025-10-31 16:29:16,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:16,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:16,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:16,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:16,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=16.91, mean=-0.07017, std=3.048, absmax=16.91 +2025-10-31 16:29:16,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.3, mean=-0.1101, std=2.51, absmax=10.4 +2025-10-31 16:29:17,395 ERROR: Encountered non-finite generator loss at iter 2474; skipping update. +2025-10-31 16:29:17,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:17,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:17,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.79, mean=-0.2252, std=2.745, absmax=13.79 +2025-10-31 16:29:17,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.11, mean=-0.2075, std=2.513, absmax=10.76 +2025-10-31 16:29:17,899 ERROR: Encountered non-finite generator loss at iter 2475; skipping update. +2025-10-31 16:29:17,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:17,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:17,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:17,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:17,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.71, mean=0.01732, std=3.037, absmax=12.32 +2025-10-31 16:29:17,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.58, mean=0.006655, std=2.541, absmax=11.58 +2025-10-31 16:29:18,403 ERROR: Encountered non-finite generator loss at iter 2476; skipping update. +2025-10-31 16:29:18,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:18,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:18,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.04, mean=-0.2227, std=2.81, absmax=13.04 +2025-10-31 16:29:18,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.135, max=10.47, mean=-0.179, std=2.475, absmax=10.47 +2025-10-31 16:29:18,905 ERROR: Encountered non-finite generator loss at iter 2477; skipping update. +2025-10-31 16:29:18,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:18,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:18,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:18,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:18,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=15.26, mean=-0.02043, std=3.717, absmax=15.26 +2025-10-31 16:29:18,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=14.26, mean=-0.05065, std=3.223, absmax=14.26 +2025-10-31 16:29:19,408 ERROR: Encountered non-finite generator loss at iter 2478; skipping update. +2025-10-31 16:29:19,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,412 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:19,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:19,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=15.2, mean=-0.1515, std=3.188, absmax=15.2 +2025-10-31 16:29:19,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.93, mean=-0.1649, std=2.541, absmax=10.93 +2025-10-31 16:29:19,911 ERROR: Encountered non-finite generator loss at iter 2479; skipping update. +2025-10-31 16:29:19,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:19,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:19,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:19,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:19,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.31, mean=-0.1289, std=3.028, absmax=13.5 +2025-10-31 16:29:19,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.982, max=9.19, mean=-0.1622, std=2.45, absmax=9.19 +2025-10-31 16:29:20,415 ERROR: Encountered non-finite generator loss at iter 2480; skipping update. +2025-10-31 16:29:20,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:20,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:20,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.95, mean=-0.03413, std=3.175, absmax=12.24 +2025-10-31 16:29:20,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.592, mean=-0.05619, std=2.702, absmax=10.02 +2025-10-31 16:29:20,919 ERROR: Encountered non-finite generator loss at iter 2481; skipping update. +2025-10-31 16:29:20,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:20,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:20,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:20,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:20,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.77, mean=-0.324, std=3.58, absmax=13.21 +2025-10-31 16:29:20,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.818, mean=-0.2724, std=3.094, absmax=10.67 +2025-10-31 16:29:21,424 ERROR: Encountered non-finite generator loss at iter 2482; skipping update. +2025-10-31 16:29:21,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:21,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:21,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.62, mean=0.1122, std=3.143, absmax=13.08 +2025-10-31 16:29:21,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.36, mean=0.1104, std=2.799, absmax=11.36 +2025-10-31 16:29:21,927 ERROR: Encountered non-finite generator loss at iter 2483; skipping update. +2025-10-31 16:29:21,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:21,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:21,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:21,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:21,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=14.93, mean=-0.2212, std=2.419, absmax=14.93 +2025-10-31 16:29:21,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.433, max=8.849, mean=-0.1688, std=2.055, absmax=8.849 +2025-10-31 16:29:22,429 ERROR: Encountered non-finite generator loss at iter 2484; skipping update. +2025-10-31 16:29:22,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:22,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:22,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.45, mean=-0.09205, std=3.187, absmax=14.17 +2025-10-31 16:29:22,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=9.793, mean=-0.1229, std=2.617, absmax=11.72 +2025-10-31 16:29:22,932 ERROR: Encountered non-finite generator loss at iter 2485; skipping update. +2025-10-31 16:29:22,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:22,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:22,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:22,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:22,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.02, mean=0.07607, std=3.454, absmax=13.65 +2025-10-31 16:29:22,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=9.806, mean=0.02913, std=2.797, absmax=10.52 +2025-10-31 16:29:23,433 ERROR: Encountered non-finite generator loss at iter 2486; skipping update. +2025-10-31 16:29:23,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:23,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:23,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.21, mean=-0.1182, std=2.733, absmax=13.77 +2025-10-31 16:29:23,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.71, mean=-0.154, std=2.224, absmax=10.71 +2025-10-31 16:29:23,934 ERROR: Encountered non-finite generator loss at iter 2487; skipping update. +2025-10-31 16:29:23,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,937 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:23,939 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:23,940 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:23,941 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:23,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=15.12, mean=0.04311, std=3.117, absmax=15.12 +2025-10-31 16:29:23,943 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=12.31, mean=0.002024, std=2.49, absmax=12.31 +2025-10-31 16:29:24,436 ERROR: Encountered non-finite generator loss at iter 2488; skipping update. +2025-10-31 16:29:24,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:24,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:24,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.14, mean=-0.2425, std=3.072, absmax=13.65 +2025-10-31 16:29:24,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=8.701, mean=-0.2565, std=2.661, absmax=10.58 +2025-10-31 16:29:24,938 ERROR: Encountered non-finite generator loss at iter 2489; skipping update. +2025-10-31 16:29:24,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:24,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:24,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:24,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:24,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.76, mean=-0.1705, std=2.823, absmax=11.76 +2025-10-31 16:29:24,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=7.955, mean=-0.1599, std=2.3, absmax=9.147 +2025-10-31 16:29:25,461 ERROR: Encountered non-finite generator loss at iter 2490; skipping update. +2025-10-31 16:29:25,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:25,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:25,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=12.88, mean=-0.1463, std=2.537, absmax=12.88 +2025-10-31 16:29:25,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.088, max=9.087, mean=-0.1976, std=2.146, absmax=9.088 +2025-10-31 16:29:25,982 ERROR: Encountered non-finite generator loss at iter 2491; skipping update. +2025-10-31 16:29:25,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:25,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:25,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:25,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:25,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=13.09, mean=-0.01511, std=2.989, absmax=13.09 +2025-10-31 16:29:25,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.444, mean=-0.08444, std=2.508, absmax=10.18 +2025-10-31 16:29:26,484 ERROR: Encountered non-finite generator loss at iter 2492; skipping update. +2025-10-31 16:29:26,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:26,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:26,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.23, mean=-0.1762, std=3.054, absmax=13.56 +2025-10-31 16:29:26,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.889, mean=-0.1736, std=2.523, absmax=10.38 +2025-10-31 16:29:26,986 ERROR: Encountered non-finite generator loss at iter 2493; skipping update. +2025-10-31 16:29:26,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:26,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:26,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:26,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:26,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=13.91, mean=-0.1382, std=3.256, absmax=14.47 +2025-10-31 16:29:26,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.52, max=9.578, mean=-0.1443, std=2.719, absmax=13.52 +2025-10-31 16:29:27,489 ERROR: Encountered non-finite generator loss at iter 2494; skipping update. +2025-10-31 16:29:27,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:27,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:27,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.32, mean=-0.2428, std=2.483, absmax=11.38 +2025-10-31 16:29:27,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=7.804, mean=-0.2159, std=2.201, absmax=10.51 +2025-10-31 16:29:27,992 ERROR: Encountered non-finite generator loss at iter 2495; skipping update. +2025-10-31 16:29:27,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,994 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:27,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:27,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:27,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:27,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=10.82, mean=-0.182, std=2.855, absmax=12.59 +2025-10-31 16:29:28,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.621, mean=-0.1982, std=2.415, absmax=10.15 +2025-10-31 16:29:28,493 ERROR: Encountered non-finite generator loss at iter 2496; skipping update. +2025-10-31 16:29:28,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:28,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:28,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.14, mean=0.03271, std=3.327, absmax=13.93 +2025-10-31 16:29:28,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=11.02, mean=0.03262, std=2.716, absmax=11.02 +2025-10-31 16:29:28,995 ERROR: Encountered non-finite generator loss at iter 2497; skipping update. +2025-10-31 16:29:28,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:28,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:28,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:29,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:29,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.65, mean=-0.2006, std=3.142, absmax=11.72 +2025-10-31 16:29:29,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=9.557, mean=-0.1906, std=2.758, absmax=11.69 +2025-10-31 16:29:29,495 ERROR: Encountered non-finite generator loss at iter 2498; skipping update. +2025-10-31 16:29:29,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:29,497 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:29,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:29,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:29,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:29,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:29,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:29,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:29,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.49, mean=-0.2716, std=2.594, absmax=12.81 +2025-10-31 16:29:29,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=8.795, mean=-0.2002, std=2.421, absmax=11.39 +2025-10-31 16:29:29,997 ERROR: Encountered non-finite generator loss at iter 2499; skipping update. +2025-10-31 16:29:29,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:29,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:30,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:30,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:30,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:30,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.64, mean=-0.06861, std=2.93, absmax=13.64 +2025-10-31 16:29:30,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.852, max=10.71, mean=-0.09678, std=2.459, absmax=10.71 +2025-10-31 16:29:30,499 ERROR: Encountered non-finite generator loss at iter 2500; skipping update. +2025-10-31 16:29:30,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:29:30,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:29:30,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:29:30,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:29:30,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:29:30,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:29:30,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.82, mean=-0.2391, std=2.728, absmax=13.44 +2025-10-31 16:29:30,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.293, mean=-0.2028, std=2.294, absmax=10.65 +2025-10-31 16:29:30,509 INFO: [29..][epoch: 0, step: 2,500, lr:(1.500e-04,)] [eta: 1 day, 18:03:03, time (data): 0.504 (0.000)] +2025-10-31 16:29:30,509 INFO: Saving models and training states. +2025-10-31 16:30:40,696 INFO: Validation val_x2 + # l1_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 16:33:04,105 INFO: Validation val_x4 + # l1_latent: nan Best: -inf @ -1 iter + # l2_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 16:33:04,613 ERROR: Encountered non-finite generator loss at iter 2501; skipping update. +2025-10-31 16:33:04,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:04,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:04,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:04,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:04,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:04,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:04,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:04,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:04,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=10.65, mean=-0.2891, std=3.27, absmax=13.82 +2025-10-31 16:33:04,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.48, max=9.544, mean=-0.2424, std=2.998, absmax=12.48 +2025-10-31 16:33:05,114 ERROR: Encountered non-finite generator loss at iter 2502; skipping update. +2025-10-31 16:33:05,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:05,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:05,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.67, mean=-0.1937, std=2.807, absmax=13.67 +2025-10-31 16:33:05,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.608, mean=-0.2569, std=2.402, absmax=10.31 +2025-10-31 16:33:05,618 ERROR: Encountered non-finite generator loss at iter 2503; skipping update. +2025-10-31 16:33:05,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:05,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:05,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:05,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:05,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.25, mean=-0.05585, std=3.245, absmax=14.25 +2025-10-31 16:33:05,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.431, max=11.81, mean=-0.05692, std=2.737, absmax=11.81 +2025-10-31 16:33:06,116 ERROR: Encountered non-finite generator loss at iter 2504; skipping update. +2025-10-31 16:33:06,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:06,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:06,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.28, mean=-0.1994, std=3.11, absmax=13.28 +2025-10-31 16:33:06,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.329, max=10.85, mean=-0.1969, std=2.582, absmax=10.85 +2025-10-31 16:33:06,615 ERROR: Encountered non-finite generator loss at iter 2505; skipping update. +2025-10-31 16:33:06,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:06,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:06,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:06,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:06,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.13, mean=-0.07955, std=3.039, absmax=12.89 +2025-10-31 16:33:06,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.605, max=9.294, mean=-0.07506, std=2.478, absmax=9.605 +2025-10-31 16:33:07,116 ERROR: Encountered non-finite generator loss at iter 2506; skipping update. +2025-10-31 16:33:07,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:07,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:07,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.44, mean=-0.07427, std=3.464, absmax=13.91 +2025-10-31 16:33:07,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=13.34, mean=-0.1175, std=3.194, absmax=13.34 +2025-10-31 16:33:07,616 ERROR: Encountered non-finite generator loss at iter 2507; skipping update. +2025-10-31 16:33:07,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:07,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:07,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:07,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:07,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13, mean=-0.2401, std=2.91, absmax=13 +2025-10-31 16:33:07,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.932, max=8.733, mean=-0.2489, std=2.346, absmax=9.932 +2025-10-31 16:33:08,118 ERROR: Encountered non-finite generator loss at iter 2508; skipping update. +2025-10-31 16:33:08,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:08,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:08,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=15.75, mean=-0.1113, std=2.661, absmax=15.75 +2025-10-31 16:33:08,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.521, max=10.28, mean=-0.1617, std=2.186, absmax=10.28 +2025-10-31 16:33:08,620 ERROR: Encountered non-finite generator loss at iter 2509; skipping update. +2025-10-31 16:33:08,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:08,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:08,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:08,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:08,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.36, mean=-0.1296, std=2.95, absmax=12.45 +2025-10-31 16:33:08,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.462, max=9.909, mean=-0.1378, std=2.476, absmax=9.909 +2025-10-31 16:33:09,120 ERROR: Encountered non-finite generator loss at iter 2510; skipping update. +2025-10-31 16:33:09,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:09,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:09,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.42, mean=-0.04766, std=3.138, absmax=15.42 +2025-10-31 16:33:09,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.525, max=11.5, mean=-0.06198, std=2.611, absmax=11.5 +2025-10-31 16:33:09,618 ERROR: Encountered non-finite generator loss at iter 2511; skipping update. +2025-10-31 16:33:09,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:09,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:09,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:09,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:09,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.87, mean=-0.3574, std=3.197, absmax=14.32 +2025-10-31 16:33:09,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=8.709, mean=-0.3507, std=2.684, absmax=11.5 +2025-10-31 16:33:10,118 ERROR: Encountered non-finite generator loss at iter 2512; skipping update. +2025-10-31 16:33:10,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:10,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:10,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.82, max=14.08, mean=-0.08375, std=3.33, absmax=15.82 +2025-10-31 16:33:10,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=11.55, mean=-0.08064, std=2.679, absmax=11.55 +2025-10-31 16:33:10,615 ERROR: Encountered non-finite generator loss at iter 2513; skipping update. +2025-10-31 16:33:10,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:10,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:10,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:10,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:10,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=15.21, mean=-0.1135, std=3.523, absmax=15.21 +2025-10-31 16:33:10,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=11, mean=-0.1208, std=2.867, absmax=11 +2025-10-31 16:33:11,118 ERROR: Encountered non-finite generator loss at iter 2514; skipping update. +2025-10-31 16:33:11,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:11,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:11,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=15.35, mean=-0.2182, std=3.09, absmax=15.35 +2025-10-31 16:33:11,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=12.04, mean=-0.2454, std=2.626, absmax=12.04 +2025-10-31 16:33:11,619 ERROR: Encountered non-finite generator loss at iter 2515; skipping update. +2025-10-31 16:33:11,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:11,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:11,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:11,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:11,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.74, mean=-0.1719, std=2.746, absmax=13.74 +2025-10-31 16:33:11,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=8.395, mean=-0.1768, std=2.313, absmax=10.03 +2025-10-31 16:33:12,120 ERROR: Encountered non-finite generator loss at iter 2516; skipping update. +2025-10-31 16:33:12,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:12,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:12,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=10.79, mean=-0.2427, std=2.758, absmax=11.78 +2025-10-31 16:33:12,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.438, max=8.38, mean=-0.2307, std=2.179, absmax=9.438 +2025-10-31 16:33:12,620 ERROR: Encountered non-finite generator loss at iter 2517; skipping update. +2025-10-31 16:33:12,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:12,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:12,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:12,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:12,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=13.57, mean=-0.1292, std=2.972, absmax=14.66 +2025-10-31 16:33:12,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.426, max=10.8, mean=-0.07026, std=2.598, absmax=10.8 +2025-10-31 16:33:13,119 ERROR: Encountered non-finite generator loss at iter 2518; skipping update. +2025-10-31 16:33:13,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:13,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:13,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=11.94, mean=-0.1636, std=2.752, absmax=11.94 +2025-10-31 16:33:13,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.14, mean=-0.1542, std=2.395, absmax=10.37 +2025-10-31 16:33:13,620 ERROR: Encountered non-finite generator loss at iter 2519; skipping update. +2025-10-31 16:33:13,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:13,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:13,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:13,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:13,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.55, mean=-0.244, std=3.176, absmax=15.55 +2025-10-31 16:33:13,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.66, mean=-0.2254, std=2.663, absmax=11.66 +2025-10-31 16:33:14,120 ERROR: Encountered non-finite generator loss at iter 2520; skipping update. +2025-10-31 16:33:14,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:14,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:14,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.01, mean=-0.03166, std=3.111, absmax=15.01 +2025-10-31 16:33:14,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=12.69, mean=-0.06599, std=2.728, absmax=12.69 +2025-10-31 16:33:14,622 ERROR: Encountered non-finite generator loss at iter 2521; skipping update. +2025-10-31 16:33:14,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:14,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:14,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:14,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:14,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=10.51, mean=-0.2503, std=2.712, absmax=13.45 +2025-10-31 16:33:14,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.075, mean=-0.2109, std=2.326, absmax=11.84 +2025-10-31 16:33:15,124 ERROR: Encountered non-finite generator loss at iter 2522; skipping update. +2025-10-31 16:33:15,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:15,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:15,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.29, mean=0.1134, std=3.381, absmax=13.29 +2025-10-31 16:33:15,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=11.99, mean=0.09435, std=2.972, absmax=12.2 +2025-10-31 16:33:15,625 ERROR: Encountered non-finite generator loss at iter 2523; skipping update. +2025-10-31 16:33:15,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:15,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:15,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:15,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:15,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.78, mean=-0.03562, std=3.372, absmax=15.78 +2025-10-31 16:33:15,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.629, mean=-0.04103, std=2.813, absmax=10.8 +2025-10-31 16:33:16,126 ERROR: Encountered non-finite generator loss at iter 2524; skipping update. +2025-10-31 16:33:16,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:16,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:16,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.37, max=13.89, mean=-0.0701, std=3.244, absmax=16.37 +2025-10-31 16:33:16,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.53, max=11.88, mean=-0.1011, std=2.766, absmax=13.53 +2025-10-31 16:33:16,627 ERROR: Encountered non-finite generator loss at iter 2525; skipping update. +2025-10-31 16:33:16,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:16,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:16,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:16,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:16,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.49, mean=-0.1871, std=2.898, absmax=12.94 +2025-10-31 16:33:16,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.09, mean=-0.1696, std=2.339, absmax=10.27 +2025-10-31 16:33:17,128 ERROR: Encountered non-finite generator loss at iter 2526; skipping update. +2025-10-31 16:33:17,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:17,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:17,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=12.68, mean=-0.3178, std=2.27, absmax=12.68 +2025-10-31 16:33:17,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.089, max=9.091, mean=-0.2943, std=2.05, absmax=9.091 +2025-10-31 16:33:17,629 ERROR: Encountered non-finite generator loss at iter 2527; skipping update. +2025-10-31 16:33:17,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:17,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:17,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:17,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:17,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.21, mean=-0.3394, std=3.096, absmax=13.35 +2025-10-31 16:33:17,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=9.2, mean=-0.3517, std=2.741, absmax=11.99 +2025-10-31 16:33:18,129 ERROR: Encountered non-finite generator loss at iter 2528; skipping update. +2025-10-31 16:33:18,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:18,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:18,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.91, mean=-0.3122, std=3.015, absmax=13.91 +2025-10-31 16:33:18,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.148, mean=-0.291, std=2.522, absmax=10.95 +2025-10-31 16:33:18,629 ERROR: Encountered non-finite generator loss at iter 2529; skipping update. +2025-10-31 16:33:18,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:18,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:18,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:18,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:18,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.16, mean=-0.1276, std=2.938, absmax=13.16 +2025-10-31 16:33:18,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=9.77, mean=-0.09962, std=2.465, absmax=12.1 +2025-10-31 16:33:19,132 ERROR: Encountered non-finite generator loss at iter 2530; skipping update. +2025-10-31 16:33:19,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,138 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:19,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:19,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.31, mean=-0.001556, std=2.861, absmax=13.31 +2025-10-31 16:33:19,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.84, mean=-0.01998, std=2.394, absmax=11.11 +2025-10-31 16:33:19,634 ERROR: Encountered non-finite generator loss at iter 2531; skipping update. +2025-10-31 16:33:19,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:19,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:19,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:19,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:19,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.16, mean=-0.1516, std=3.235, absmax=13.16 +2025-10-31 16:33:19,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=7.939, mean=-0.2423, std=2.758, absmax=10.64 +2025-10-31 16:33:20,134 ERROR: Encountered non-finite generator loss at iter 2532; skipping update. +2025-10-31 16:33:20,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:20,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:20,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.04, mean=-0.198, std=2.676, absmax=12.43 +2025-10-31 16:33:20,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.081, max=10.34, mean=-0.217, std=2.252, absmax=10.34 +2025-10-31 16:33:20,639 ERROR: Encountered non-finite generator loss at iter 2533; skipping update. +2025-10-31 16:33:20,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:20,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:20,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:20,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:20,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.94, mean=0.113, std=3.771, absmax=14.94 +2025-10-31 16:33:20,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=12.18, mean=0.1037, std=3.099, absmax=12.18 +2025-10-31 16:33:21,187 ERROR: Encountered non-finite generator loss at iter 2534; skipping update. +2025-10-31 16:33:21,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:21,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:21,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.95, mean=-0.1322, std=2.926, absmax=13.16 +2025-10-31 16:33:21,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.107, mean=-0.1859, std=2.498, absmax=10.64 +2025-10-31 16:33:21,687 ERROR: Encountered non-finite generator loss at iter 2535; skipping update. +2025-10-31 16:33:21,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:21,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:21,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:21,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:21,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.43, mean=-0.1311, std=3.338, absmax=14.43 +2025-10-31 16:33:21,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.598, max=12.53, mean=-0.148, std=2.817, absmax=12.53 +2025-10-31 16:33:22,191 ERROR: Encountered non-finite generator loss at iter 2536; skipping update. +2025-10-31 16:33:22,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:22,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:22,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=17.19, mean=-0.07151, std=3.892, absmax=17.19 +2025-10-31 16:33:22,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=14.61, mean=-0.07049, std=3.278, absmax=14.61 +2025-10-31 16:33:22,695 ERROR: Encountered non-finite generator loss at iter 2537; skipping update. +2025-10-31 16:33:22,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:22,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:22,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:22,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:22,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=13.52, mean=-0.1624, std=3.536, absmax=14.61 +2025-10-31 16:33:22,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=11.33, mean=-0.2004, std=2.961, absmax=11.33 +2025-10-31 16:33:23,195 ERROR: Encountered non-finite generator loss at iter 2538; skipping update. +2025-10-31 16:33:23,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,197 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,201 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:23,202 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:23,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=11.78, mean=-0.05872, std=3.32, absmax=13.71 +2025-10-31 16:33:23,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.03, mean=-0.06505, std=2.707, absmax=10.76 +2025-10-31 16:33:23,696 ERROR: Encountered non-finite generator loss at iter 2539; skipping update. +2025-10-31 16:33:23,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:23,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:23,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:23,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:23,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=14.56, mean=-0.1395, std=2.493, absmax=14.56 +2025-10-31 16:33:23,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.665, max=10.14, mean=-0.1429, std=2.071, absmax=10.14 +2025-10-31 16:33:24,197 ERROR: Encountered non-finite generator loss at iter 2540; skipping update. +2025-10-31 16:33:24,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:24,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:24,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.31, mean=-0.08796, std=3.032, absmax=12.99 +2025-10-31 16:33:24,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=10.09, mean=-0.1119, std=2.623, absmax=11.37 +2025-10-31 16:33:24,698 ERROR: Encountered non-finite generator loss at iter 2541; skipping update. +2025-10-31 16:33:24,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:24,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:24,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:24,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:24,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=11.83, mean=-0.2336, std=2.86, absmax=14.7 +2025-10-31 16:33:24,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=8.234, mean=-0.2292, std=2.353, absmax=11.37 +2025-10-31 16:33:25,200 ERROR: Encountered non-finite generator loss at iter 2542; skipping update. +2025-10-31 16:33:25,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:25,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:25,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=11.57, mean=-0.1226, std=2.494, absmax=14.24 +2025-10-31 16:33:25,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.179, mean=-0.182, std=2.041, absmax=11.63 +2025-10-31 16:33:25,702 ERROR: Encountered non-finite generator loss at iter 2543; skipping update. +2025-10-31 16:33:25,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:25,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:25,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:25,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:25,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.82, mean=-0.2285, std=2.514, absmax=12.82 +2025-10-31 16:33:25,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.46, max=11.35, mean=-0.237, std=2.031, absmax=11.35 +2025-10-31 16:33:26,204 ERROR: Encountered non-finite generator loss at iter 2544; skipping update. +2025-10-31 16:33:26,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:26,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:26,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.34, mean=-0.03606, std=3.44, absmax=13.34 +2025-10-31 16:33:26,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.19, mean=-0.07097, std=2.877, absmax=10.23 +2025-10-31 16:33:26,704 ERROR: Encountered non-finite generator loss at iter 2545; skipping update. +2025-10-31 16:33:26,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:26,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:26,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:26,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:26,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.18, mean=-0.1226, std=3.594, absmax=15.18 +2025-10-31 16:33:26,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=14.82, mean=-0.1001, std=3.236, absmax=14.82 +2025-10-31 16:33:27,208 ERROR: Encountered non-finite generator loss at iter 2546; skipping update. +2025-10-31 16:33:27,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:27,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:27,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.14, mean=-0.03802, std=2.783, absmax=14.14 +2025-10-31 16:33:27,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.109, mean=-0.08825, std=2.296, absmax=10.05 +2025-10-31 16:33:27,709 ERROR: Encountered non-finite generator loss at iter 2547; skipping update. +2025-10-31 16:33:27,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:27,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:27,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:27,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:27,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.24, max=13.4, mean=-0.1564, std=2.951, absmax=16.24 +2025-10-31 16:33:27,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.56, mean=-0.1513, std=2.498, absmax=10.97 +2025-10-31 16:33:28,211 ERROR: Encountered non-finite generator loss at iter 2548; skipping update. +2025-10-31 16:33:28,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,214 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:28,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:28,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=14.8, mean=-0.07021, std=2.917, absmax=14.8 +2025-10-31 16:33:28,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.554, max=10.66, mean=-0.08258, std=2.336, absmax=10.66 +2025-10-31 16:33:28,714 ERROR: Encountered non-finite generator loss at iter 2549; skipping update. +2025-10-31 16:33:28,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:28,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:28,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:28,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:28,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=16.11, mean=-0.2162, std=3.141, absmax=16.11 +2025-10-31 16:33:28,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.623, max=12.73, mean=-0.2468, std=2.519, absmax=12.73 +2025-10-31 16:33:29,216 ERROR: Encountered non-finite generator loss at iter 2550; skipping update. +2025-10-31 16:33:29,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:29,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:29,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.04, mean=-0.1826, std=2.764, absmax=12.2 +2025-10-31 16:33:29,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.787, mean=-0.144, std=2.508, absmax=10.23 +2025-10-31 16:33:29,716 ERROR: Encountered non-finite generator loss at iter 2551; skipping update. +2025-10-31 16:33:29,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:29,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:29,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:29,724 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:29,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=11.86, mean=0.06661, std=2.924, absmax=11.86 +2025-10-31 16:33:29,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.646, max=10.43, mean=0.09986, std=2.51, absmax=10.43 +2025-10-31 16:33:30,219 ERROR: Encountered non-finite generator loss at iter 2552; skipping update. +2025-10-31 16:33:30,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,222 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,223 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,224 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,225 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:30,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:30,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.14, mean=-0.1683, std=2.871, absmax=12.49 +2025-10-31 16:33:30,229 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.21, mean=-0.1518, std=2.389, absmax=10.32 +2025-10-31 16:33:30,722 ERROR: Encountered non-finite generator loss at iter 2553; skipping update. +2025-10-31 16:33:30,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:30,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:30,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:30,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:30,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.11, mean=-0.2325, std=2.958, absmax=13.11 +2025-10-31 16:33:30,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.91, mean=-0.2443, std=2.614, absmax=10.91 +2025-10-31 16:33:31,222 ERROR: Encountered non-finite generator loss at iter 2554; skipping update. +2025-10-31 16:33:31,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:31,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:31,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.41, mean=-0.1035, std=2.535, absmax=12.56 +2025-10-31 16:33:31,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.81, max=10.4, mean=-0.1089, std=2.253, absmax=10.4 +2025-10-31 16:33:31,722 ERROR: Encountered non-finite generator loss at iter 2555; skipping update. +2025-10-31 16:33:31,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:31,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:31,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:31,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:31,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.1, mean=-0.1172, std=3.343, absmax=13.6 +2025-10-31 16:33:31,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.69, mean=-0.1085, std=2.85, absmax=11.69 +2025-10-31 16:33:32,224 ERROR: Encountered non-finite generator loss at iter 2556; skipping update. +2025-10-31 16:33:32,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:32,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:32,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=14.12, mean=-0.1565, std=3.255, absmax=14.13 +2025-10-31 16:33:32,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.06, mean=-0.1467, std=2.761, absmax=11.06 +2025-10-31 16:33:32,725 ERROR: Encountered non-finite generator loss at iter 2557; skipping update. +2025-10-31 16:33:32,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,728 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,729 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:32,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:32,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:32,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:32,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.16, mean=-0.2656, std=3.397, absmax=13.16 +2025-10-31 16:33:32,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.785, mean=-0.2559, std=2.763, absmax=10.28 +2025-10-31 16:33:33,225 ERROR: Encountered non-finite generator loss at iter 2558; skipping update. +2025-10-31 16:33:33,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:33,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:33,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.19, mean=-0.2052, std=2.921, absmax=14.19 +2025-10-31 16:33:33,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.26, mean=-0.2534, std=2.474, absmax=10.26 +2025-10-31 16:33:33,728 ERROR: Encountered non-finite generator loss at iter 2559; skipping update. +2025-10-31 16:33:33,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:33,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:33,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:33,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:33,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.2, mean=-0.07613, std=2.922, absmax=13.2 +2025-10-31 16:33:33,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.08, mean=-0.1083, std=2.429, absmax=10.54 +2025-10-31 16:33:34,232 ERROR: Encountered non-finite generator loss at iter 2560; skipping update. +2025-10-31 16:33:34,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:34,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:34,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.18, mean=-0.09054, std=3.397, absmax=15.18 +2025-10-31 16:33:34,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.34, max=14.55, mean=-0.0784, std=3.159, absmax=14.55 +2025-10-31 16:33:34,736 ERROR: Encountered non-finite generator loss at iter 2561; skipping update. +2025-10-31 16:33:34,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:34,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:34,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:34,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:34,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.66, max=13.88, mean=-0.09765, std=3.295, absmax=16.66 +2025-10-31 16:33:34,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=11.6, mean=-0.1308, std=2.738, absmax=11.81 +2025-10-31 16:33:35,239 ERROR: Encountered non-finite generator loss at iter 2562; skipping update. +2025-10-31 16:33:35,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,246 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:35,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:35,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=17.3, mean=-0.06632, std=3.309, absmax=17.3 +2025-10-31 16:33:35,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=10.84, mean=-0.1004, std=2.669, absmax=10.84 +2025-10-31 16:33:35,742 ERROR: Encountered non-finite generator loss at iter 2563; skipping update. +2025-10-31 16:33:35,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:35,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:35,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:35,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:35,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.9, mean=-0.1619, std=2.8, absmax=12.33 +2025-10-31 16:33:35,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.829, max=9.212, mean=-0.1514, std=2.329, absmax=9.829 +2025-10-31 16:33:36,244 ERROR: Encountered non-finite generator loss at iter 2564; skipping update. +2025-10-31 16:33:36,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:36,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:36,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=14.61, mean=-0.1529, std=2.919, absmax=14.61 +2025-10-31 16:33:36,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.884, mean=-0.1638, std=2.38, absmax=10.54 +2025-10-31 16:33:36,747 ERROR: Encountered non-finite generator loss at iter 2565; skipping update. +2025-10-31 16:33:36,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:36,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:36,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:36,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:36,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.36, mean=-0.09475, std=3.032, absmax=12.82 +2025-10-31 16:33:36,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.317, mean=-0.1132, std=2.54, absmax=10.45 +2025-10-31 16:33:37,251 ERROR: Encountered non-finite generator loss at iter 2566; skipping update. +2025-10-31 16:33:37,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,255 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,256 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:37,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:37,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.76, mean=-0.1766, std=3.023, absmax=13.76 +2025-10-31 16:33:37,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.017, mean=-0.2289, std=2.623, absmax=11.59 +2025-10-31 16:33:37,754 ERROR: Encountered non-finite generator loss at iter 2567; skipping update. +2025-10-31 16:33:37,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:37,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:37,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:37,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:37,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.81, mean=-0.04078, std=3.422, absmax=14.81 +2025-10-31 16:33:37,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=13.29, mean=-0.05385, std=2.998, absmax=13.29 +2025-10-31 16:33:38,256 ERROR: Encountered non-finite generator loss at iter 2568; skipping update. +2025-10-31 16:33:38,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:38,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:38,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=9.891, mean=-0.3333, std=2.901, absmax=12.66 +2025-10-31 16:33:38,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=8.32, mean=-0.3271, std=2.551, absmax=11.49 +2025-10-31 16:33:38,759 ERROR: Encountered non-finite generator loss at iter 2569; skipping update. +2025-10-31 16:33:38,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:38,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:38,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:38,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:38,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.93, mean=-0.1954, std=2.931, absmax=12.25 +2025-10-31 16:33:38,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.374, mean=-0.1699, std=2.552, absmax=10.72 +2025-10-31 16:33:39,262 ERROR: Encountered non-finite generator loss at iter 2570; skipping update. +2025-10-31 16:33:39,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:39,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:39,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.25, mean=-0.2786, std=3.181, absmax=13.81 +2025-10-31 16:33:39,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.663, mean=-0.2858, std=2.744, absmax=11.89 +2025-10-31 16:33:39,765 ERROR: Encountered non-finite generator loss at iter 2571; skipping update. +2025-10-31 16:33:39,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:39,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:39,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:39,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:39,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=18.13, mean=-0.009294, std=3.5, absmax=18.13 +2025-10-31 16:33:39,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.24, mean=-0.03212, std=2.833, absmax=11.24 +2025-10-31 16:33:40,267 ERROR: Encountered non-finite generator loss at iter 2572; skipping update. +2025-10-31 16:33:40,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,273 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:40,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:40,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.35, mean=-0.1487, std=2.773, absmax=11.54 +2025-10-31 16:33:40,276 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.319, max=9.669, mean=-0.1462, std=2.394, absmax=9.669 +2025-10-31 16:33:40,769 ERROR: Encountered non-finite generator loss at iter 2573; skipping update. +2025-10-31 16:33:40,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:40,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:40,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:40,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:40,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=16.83, mean=0.05574, std=3.597, absmax=16.83 +2025-10-31 16:33:40,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=14.26, mean=0.07548, std=3.016, absmax=14.26 +2025-10-31 16:33:41,274 ERROR: Encountered non-finite generator loss at iter 2574; skipping update. +2025-10-31 16:33:41,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:41,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:41,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.56, mean=-0.07835, std=2.818, absmax=12.56 +2025-10-31 16:33:41,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.163, mean=-0.1212, std=2.343, absmax=10.44 +2025-10-31 16:33:41,777 ERROR: Encountered non-finite generator loss at iter 2575; skipping update. +2025-10-31 16:33:41,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:41,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:41,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:41,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:41,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.7, mean=-0.1835, std=2.901, absmax=13.76 +2025-10-31 16:33:41,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.25, max=8.16, mean=-0.1795, std=2.292, absmax=12.25 +2025-10-31 16:33:42,281 ERROR: Encountered non-finite generator loss at iter 2576; skipping update. +2025-10-31 16:33:42,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:42,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:42,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=10.46, mean=-0.3389, std=2.82, absmax=12.77 +2025-10-31 16:33:42,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.312, mean=-0.2949, std=2.472, absmax=10.61 +2025-10-31 16:33:42,784 ERROR: Encountered non-finite generator loss at iter 2577; skipping update. +2025-10-31 16:33:42,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:42,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:42,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:42,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:42,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.99, mean=0.04294, std=2.972, absmax=13.02 +2025-10-31 16:33:42,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.94, mean=0.04504, std=2.591, absmax=10.94 +2025-10-31 16:33:43,287 ERROR: Encountered non-finite generator loss at iter 2578; skipping update. +2025-10-31 16:33:43,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:43,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:43,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.94, mean=0.1912, std=3.133, absmax=15.94 +2025-10-31 16:33:43,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=12.39, mean=0.1812, std=2.756, absmax=12.39 +2025-10-31 16:33:43,790 ERROR: Encountered non-finite generator loss at iter 2579; skipping update. +2025-10-31 16:33:43,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:43,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:43,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:43,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:43,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.2, mean=-0.224, std=4.224, absmax=15.2 +2025-10-31 16:33:43,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.49, max=14.73, mean=-0.2006, std=3.654, absmax=14.73 +2025-10-31 16:33:44,292 ERROR: Encountered non-finite generator loss at iter 2580; skipping update. +2025-10-31 16:33:44,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:44,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:44,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.68, mean=-0.2226, std=2.747, absmax=11.68 +2025-10-31 16:33:44,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.832, mean=-0.2676, std=2.462, absmax=10.88 +2025-10-31 16:33:44,797 ERROR: Encountered non-finite generator loss at iter 2581; skipping update. +2025-10-31 16:33:44,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:44,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:44,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:44,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:44,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.76, mean=0.05665, std=3.552, absmax=13.76 +2025-10-31 16:33:44,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.61, mean=-0.001378, std=2.951, absmax=10.88 +2025-10-31 16:33:45,301 ERROR: Encountered non-finite generator loss at iter 2582; skipping update. +2025-10-31 16:33:45,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:45,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:45,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=12.87, mean=-0.139, std=3.459, absmax=15.04 +2025-10-31 16:33:45,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=10.84, mean=-0.1712, std=2.887, absmax=11.54 +2025-10-31 16:33:45,804 ERROR: Encountered non-finite generator loss at iter 2583; skipping update. +2025-10-31 16:33:45,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:45,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:45,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:45,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:45,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=15.1, mean=-0.1697, std=2.602, absmax=15.1 +2025-10-31 16:33:45,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.748, max=10.99, mean=-0.1346, std=2.3, absmax=10.99 +2025-10-31 16:33:46,306 ERROR: Encountered non-finite generator loss at iter 2584; skipping update. +2025-10-31 16:33:46,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:46,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:46,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=17.04, mean=-0.2126, std=2.839, absmax=17.04 +2025-10-31 16:33:46,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.75, mean=-0.2263, std=2.411, absmax=10.75 +2025-10-31 16:33:46,808 ERROR: Encountered non-finite generator loss at iter 2585; skipping update. +2025-10-31 16:33:46,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:46,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:46,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:46,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:46,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=12.45, mean=-0.06581, std=2.959, absmax=12.45 +2025-10-31 16:33:46,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.48, max=9.436, mean=-0.07929, std=2.506, absmax=9.48 +2025-10-31 16:33:47,307 ERROR: Encountered non-finite generator loss at iter 2586; skipping update. +2025-10-31 16:33:47,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:47,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:47,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=12.84, mean=-0.08973, std=3.542, absmax=14.75 +2025-10-31 16:33:47,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=11.89, mean=-0.06816, std=3.314, absmax=13.19 +2025-10-31 16:33:47,809 ERROR: Encountered non-finite generator loss at iter 2587; skipping update. +2025-10-31 16:33:47,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:47,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:47,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:47,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:47,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.08, mean=-0.1513, std=2.737, absmax=13.59 +2025-10-31 16:33:47,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.088, mean=-0.1383, std=2.383, absmax=10.4 +2025-10-31 16:33:48,311 ERROR: Encountered non-finite generator loss at iter 2588; skipping update. +2025-10-31 16:33:48,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,314 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:48,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:48,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.24, mean=-0.238, std=3.659, absmax=14.24 +2025-10-31 16:33:48,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=12.29, mean=-0.1701, std=3, absmax=12.29 +2025-10-31 16:33:48,813 ERROR: Encountered non-finite generator loss at iter 2589; skipping update. +2025-10-31 16:33:48,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:48,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:48,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:48,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:48,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.24, mean=-0.3134, std=3.258, absmax=13.24 +2025-10-31 16:33:48,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.02, mean=-0.3244, std=2.663, absmax=10.72 +2025-10-31 16:33:49,314 ERROR: Encountered non-finite generator loss at iter 2590; skipping update. +2025-10-31 16:33:49,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:49,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:49,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=14.78, mean=0.1126, std=3.69, absmax=14.78 +2025-10-31 16:33:49,322 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.34, max=13.7, mean=0.1244, std=3.196, absmax=13.7 +2025-10-31 16:33:49,814 ERROR: Encountered non-finite generator loss at iter 2591; skipping update. +2025-10-31 16:33:49,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:49,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:49,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:49,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:49,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.83, mean=-0.1139, std=2.897, absmax=12.83 +2025-10-31 16:33:49,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=12.27, mean=-0.1426, std=2.553, absmax=12.27 +2025-10-31 16:33:50,316 ERROR: Encountered non-finite generator loss at iter 2592; skipping update. +2025-10-31 16:33:50,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:50,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:50,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.16, mean=-0.1448, std=3.734, absmax=14.61 +2025-10-31 16:33:50,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.42, mean=-0.1589, std=3.312, absmax=12.42 +2025-10-31 16:33:50,817 ERROR: Encountered non-finite generator loss at iter 2593; skipping update. +2025-10-31 16:33:50,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,820 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,821 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,822 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:50,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:50,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:50,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:50,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.86, mean=-0.2252, std=2.97, absmax=12.43 +2025-10-31 16:33:50,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.24, mean=-0.1905, std=2.643, absmax=10.99 +2025-10-31 16:33:51,320 ERROR: Encountered non-finite generator loss at iter 2594; skipping update. +2025-10-31 16:33:51,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,321 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:51,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:51,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=18.87, mean=-0.1694, std=3.543, absmax=18.87 +2025-10-31 16:33:51,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.689, mean=-0.1501, std=2.869, absmax=10.31 +2025-10-31 16:33:51,820 ERROR: Encountered non-finite generator loss at iter 2595; skipping update. +2025-10-31 16:33:51,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:51,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:51,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:51,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:51,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.82, mean=0.02124, std=3.369, absmax=13.07 +2025-10-31 16:33:51,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.722, max=10.91, mean=0.03945, std=2.78, absmax=10.91 +2025-10-31 16:33:52,321 ERROR: Encountered non-finite generator loss at iter 2596; skipping update. +2025-10-31 16:33:52,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:52,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:52,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.58, mean=-0.2478, std=3.239, absmax=13.58 +2025-10-31 16:33:52,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.16, mean=-0.2314, std=2.77, absmax=11.16 +2025-10-31 16:33:52,823 ERROR: Encountered non-finite generator loss at iter 2597; skipping update. +2025-10-31 16:33:52,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:52,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:52,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:52,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:52,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.01, mean=-0.112, std=3.274, absmax=14.35 +2025-10-31 16:33:52,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.575, mean=-0.1805, std=2.735, absmax=10.65 +2025-10-31 16:33:53,323 ERROR: Encountered non-finite generator loss at iter 2598; skipping update. +2025-10-31 16:33:53,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:53,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:53,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.39, max=19.44, mean=0.1319, std=3.775, absmax=19.44 +2025-10-31 16:33:53,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=14.89, mean=0.09818, std=3.085, absmax=14.89 +2025-10-31 16:33:53,826 ERROR: Encountered non-finite generator loss at iter 2599; skipping update. +2025-10-31 16:33:53,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:53,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:53,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:53,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:53,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.46, max=13.07, mean=-0.1176, std=3.293, absmax=15.46 +2025-10-31 16:33:53,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=10.14, mean=-0.1392, std=2.692, absmax=13.39 +2025-10-31 16:33:54,328 ERROR: Encountered non-finite generator loss at iter 2600; skipping update. +2025-10-31 16:33:54,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:54,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:54,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.81, mean=-0.2083, std=2.778, absmax=13.81 +2025-10-31 16:33:54,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.448, max=11.62, mean=-0.2419, std=2.447, absmax=11.62 +2025-10-31 16:33:54,339 INFO: [29..][epoch: 0, step: 2,600, lr:(1.500e-04,)] [eta: 1 day, 23:23:19, time (data): 0.503 (0.000)] +2025-10-31 16:33:54,831 ERROR: Encountered non-finite generator loss at iter 2601; skipping update. +2025-10-31 16:33:54,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,834 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:54,835 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:54,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:54,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:54,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=15.34, mean=-0.1607, std=2.697, absmax=15.34 +2025-10-31 16:33:54,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.732, max=11.09, mean=-0.1642, std=2.269, absmax=11.09 +2025-10-31 16:33:55,333 ERROR: Encountered non-finite generator loss at iter 2602; skipping update. +2025-10-31 16:33:55,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,335 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:55,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:55,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.79, mean=-0.2111, std=3.337, absmax=14.79 +2025-10-31 16:33:55,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.738, mean=-0.1841, std=2.624, absmax=11.19 +2025-10-31 16:33:55,837 ERROR: Encountered non-finite generator loss at iter 2603; skipping update. +2025-10-31 16:33:55,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:55,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:55,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:55,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:55,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.39, mean=-0.2481, std=2.652, absmax=11.69 +2025-10-31 16:33:55,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=8.635, mean=-0.2149, std=2.257, absmax=9.811 +2025-10-31 16:33:56,339 ERROR: Encountered non-finite generator loss at iter 2604; skipping update. +2025-10-31 16:33:56,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:56,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:56,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=15.18, mean=-0.2491, std=3.219, absmax=15.64 +2025-10-31 16:33:56,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=12.36, mean=-0.2241, std=2.598, absmax=12.36 +2025-10-31 16:33:56,840 ERROR: Encountered non-finite generator loss at iter 2605; skipping update. +2025-10-31 16:33:56,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:56,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:56,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:56,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:56,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=15.71, mean=-0.07969, std=3.049, absmax=15.71 +2025-10-31 16:33:56,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=15.02, mean=-0.105, std=2.656, absmax=15.02 +2025-10-31 16:33:57,344 ERROR: Encountered non-finite generator loss at iter 2606; skipping update. +2025-10-31 16:33:57,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:57,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:57,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.95, mean=-0.1725, std=3.02, absmax=12.79 +2025-10-31 16:33:57,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.198, max=9.136, mean=-0.1806, std=2.606, absmax=9.198 +2025-10-31 16:33:57,847 ERROR: Encountered non-finite generator loss at iter 2607; skipping update. +2025-10-31 16:33:57,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:57,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:57,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:57,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:57,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.19, mean=-0.1863, std=2.849, absmax=12.19 +2025-10-31 16:33:57,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.191, max=9.825, mean=-0.1746, std=2.474, absmax=9.825 +2025-10-31 16:33:58,350 ERROR: Encountered non-finite generator loss at iter 2608; skipping update. +2025-10-31 16:33:58,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:58,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:58,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=14.45, mean=-0.2401, std=2.613, absmax=14.45 +2025-10-31 16:33:58,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.736, max=12.08, mean=-0.2201, std=2.289, absmax=12.08 +2025-10-31 16:33:58,854 ERROR: Encountered non-finite generator loss at iter 2609; skipping update. +2025-10-31 16:33:58,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:58,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:58,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:58,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:58,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.96, mean=-0.1762, std=3.26, absmax=14.96 +2025-10-31 16:33:58,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.89, mean=-0.1476, std=2.71, absmax=11.89 +2025-10-31 16:33:59,356 ERROR: Encountered non-finite generator loss at iter 2610; skipping update. +2025-10-31 16:33:59,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,359 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,359 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,360 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:59,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:59,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.34, mean=-0.04452, std=3.036, absmax=13.83 +2025-10-31 16:33:59,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.237, max=10.2, mean=-0.1019, std=2.409, absmax=10.2 +2025-10-31 16:33:59,859 ERROR: Encountered non-finite generator loss at iter 2611; skipping update. +2025-10-31 16:33:59,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:33:59,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:33:59,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:33:59,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:33:59,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.76, mean=-0.1903, std=2.948, absmax=12.76 +2025-10-31 16:33:59,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.39, max=8.819, mean=-0.2059, std=2.313, absmax=9.39 +2025-10-31 16:34:00,362 ERROR: Encountered non-finite generator loss at iter 2612; skipping update. +2025-10-31 16:34:00,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:00,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:00,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=13.11, mean=-0.1029, std=3.37, absmax=15.06 +2025-10-31 16:34:00,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.617, max=11.36, mean=-0.1193, std=2.665, absmax=11.36 +2025-10-31 16:34:00,867 ERROR: Encountered non-finite generator loss at iter 2613; skipping update. +2025-10-31 16:34:00,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:00,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:00,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:00,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:00,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.21, mean=-0.1885, std=3.565, absmax=14.21 +2025-10-31 16:34:00,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.86, mean=-0.1876, std=3.005, absmax=11.86 +2025-10-31 16:34:01,368 ERROR: Encountered non-finite generator loss at iter 2614; skipping update. +2025-10-31 16:34:01,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,371 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:01,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:01,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=10.34, mean=-0.1212, std=2.916, absmax=11.14 +2025-10-31 16:34:01,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.015, max=8.123, mean=-0.1134, std=2.532, absmax=9.015 +2025-10-31 16:34:01,870 ERROR: Encountered non-finite generator loss at iter 2615; skipping update. +2025-10-31 16:34:01,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,872 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:01,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:01,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:01,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:01,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=12.9, mean=-0.04777, std=3.269, absmax=14.8 +2025-10-31 16:34:01,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.869, mean=-0.04682, std=2.714, absmax=11.83 +2025-10-31 16:34:02,373 ERROR: Encountered non-finite generator loss at iter 2616; skipping update. +2025-10-31 16:34:02,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:02,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:02,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.66, mean=-0.2187, std=2.855, absmax=13.01 +2025-10-31 16:34:02,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.416, mean=-0.2021, std=2.391, absmax=10.43 +2025-10-31 16:34:02,875 ERROR: Encountered non-finite generator loss at iter 2617; skipping update. +2025-10-31 16:34:02,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:02,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:02,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:02,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:02,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.08, mean=-0.1448, std=3.037, absmax=13.08 +2025-10-31 16:34:02,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.297, max=10.78, mean=-0.08606, std=2.616, absmax=10.78 +2025-10-31 16:34:03,379 ERROR: Encountered non-finite generator loss at iter 2618; skipping update. +2025-10-31 16:34:03,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:03,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:03,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=10.61, mean=-0.1444, std=2.852, absmax=11.88 +2025-10-31 16:34:03,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.933, mean=-0.1591, std=2.633, absmax=11.36 +2025-10-31 16:34:03,882 ERROR: Encountered non-finite generator loss at iter 2619; skipping update. +2025-10-31 16:34:03,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:03,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:03,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:03,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:03,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.61, mean=-0.2079, std=2.928, absmax=14.19 +2025-10-31 16:34:03,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.38, mean=-0.2081, std=2.292, absmax=10.49 +2025-10-31 16:34:04,383 ERROR: Encountered non-finite generator loss at iter 2620; skipping update. +2025-10-31 16:34:04,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,386 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:04,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:04,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=11.03, mean=-0.1193, std=3.189, absmax=14.48 +2025-10-31 16:34:04,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.865, mean=-0.1809, std=2.683, absmax=10.33 +2025-10-31 16:34:04,886 ERROR: Encountered non-finite generator loss at iter 2621; skipping update. +2025-10-31 16:34:04,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:04,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:04,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:04,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:04,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.78, mean=-0.2058, std=3.493, absmax=14.6 +2025-10-31 16:34:04,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=9.824, mean=-0.1912, std=3.093, absmax=12.71 +2025-10-31 16:34:05,390 ERROR: Encountered non-finite generator loss at iter 2622; skipping update. +2025-10-31 16:34:05,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,392 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,393 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,394 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,395 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,396 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:05,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:05,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.38, mean=-0.2017, std=2.765, absmax=12.6 +2025-10-31 16:34:05,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=8.709, mean=-0.1566, std=2.32, absmax=9.584 +2025-10-31 16:34:05,894 ERROR: Encountered non-finite generator loss at iter 2623; skipping update. +2025-10-31 16:34:05,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,897 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:05,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:05,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:05,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:05,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.22, mean=-0.2019, std=3.237, absmax=12.51 +2025-10-31 16:34:05,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.518, mean=-0.2019, std=2.595, absmax=10.05 +2025-10-31 16:34:06,396 ERROR: Encountered non-finite generator loss at iter 2624; skipping update. +2025-10-31 16:34:06,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:06,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:06,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=14.06, mean=-0.3088, std=3.041, absmax=14.06 +2025-10-31 16:34:06,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=8.558, mean=-0.3269, std=2.507, absmax=11.11 +2025-10-31 16:34:06,900 ERROR: Encountered non-finite generator loss at iter 2625; skipping update. +2025-10-31 16:34:06,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:06,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:06,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:06,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:06,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.32, mean=-0.07718, std=3.177, absmax=15.32 +2025-10-31 16:34:06,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=12.18, mean=-0.04187, std=2.668, absmax=12.18 +2025-10-31 16:34:07,404 ERROR: Encountered non-finite generator loss at iter 2626; skipping update. +2025-10-31 16:34:07,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:07,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:07,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.4, mean=0.1562, std=3.425, absmax=15.4 +2025-10-31 16:34:07,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.421, max=12.17, mean=0.13, std=2.832, absmax=12.17 +2025-10-31 16:34:07,910 ERROR: Encountered non-finite generator loss at iter 2627; skipping update. +2025-10-31 16:34:07,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:07,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:07,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:07,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:07,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.42, mean=-0.1673, std=2.88, absmax=12.42 +2025-10-31 16:34:07,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.923, max=9.244, mean=-0.1686, std=2.408, absmax=9.923 +2025-10-31 16:34:08,412 ERROR: Encountered non-finite generator loss at iter 2628; skipping update. +2025-10-31 16:34:08,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,416 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:08,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:08,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.59, mean=-0.312, std=3.543, absmax=13.59 +2025-10-31 16:34:08,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.848, mean=-0.2914, std=2.911, absmax=10.3 +2025-10-31 16:34:08,934 ERROR: Encountered non-finite generator loss at iter 2629; skipping update. +2025-10-31 16:34:08,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,936 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,937 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,938 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:08,939 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:08,940 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:08,941 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:08,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.84, mean=-0.3294, std=3.14, absmax=13.02 +2025-10-31 16:34:08,943 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=8.68, mean=-0.3019, std=2.512, absmax=11.45 +2025-10-31 16:34:09,437 ERROR: Encountered non-finite generator loss at iter 2630; skipping update. +2025-10-31 16:34:09,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:09,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:09,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.39, mean=-0.0464, std=3.263, absmax=14.33 +2025-10-31 16:34:09,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.54, max=13.97, mean=-0.03919, std=2.929, absmax=13.97 +2025-10-31 16:34:09,941 ERROR: Encountered non-finite generator loss at iter 2631; skipping update. +2025-10-31 16:34:09,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:09,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:09,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:09,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:09,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.81, mean=-0.02036, std=3.092, absmax=13.81 +2025-10-31 16:34:09,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.073, max=9.836, mean=-0.04024, std=2.568, absmax=9.836 +2025-10-31 16:34:10,443 ERROR: Encountered non-finite generator loss at iter 2632; skipping update. +2025-10-31 16:34:10,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:10,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:10,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.32, mean=-0.07025, std=3.049, absmax=13.32 +2025-10-31 16:34:10,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.04, max=10.87, mean=-0.06739, std=2.539, absmax=10.87 +2025-10-31 16:34:10,947 ERROR: Encountered non-finite generator loss at iter 2633; skipping update. +2025-10-31 16:34:10,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:10,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:10,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:10,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:10,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.18, mean=-0.2367, std=3.086, absmax=13.76 +2025-10-31 16:34:10,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=9.41, mean=-0.194, std=2.484, absmax=11.49 +2025-10-31 16:34:11,452 ERROR: Encountered non-finite generator loss at iter 2634; skipping update. +2025-10-31 16:34:11,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:11,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:11,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.99, mean=-0.1584, std=2.644, absmax=12.99 +2025-10-31 16:34:11,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.434, max=10.22, mean=-0.1404, std=2.266, absmax=10.22 +2025-10-31 16:34:11,957 ERROR: Encountered non-finite generator loss at iter 2635; skipping update. +2025-10-31 16:34:11,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:11,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:11,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:11,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:11,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.05, max=18.54, mean=-0.2557, std=3.216, absmax=18.54 +2025-10-31 16:34:11,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.27, mean=-0.2456, std=2.674, absmax=11.83 +2025-10-31 16:34:12,462 ERROR: Encountered non-finite generator loss at iter 2636; skipping update. +2025-10-31 16:34:12,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:12,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:12,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.3, mean=0.1132, std=3.29, absmax=14.3 +2025-10-31 16:34:12,473 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=13.68, mean=0.0555, std=2.911, absmax=13.68 +2025-10-31 16:34:12,967 ERROR: Encountered non-finite generator loss at iter 2637; skipping update. +2025-10-31 16:34:12,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,970 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:12,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:12,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:12,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:12,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.5, mean=-0.08647, std=2.895, absmax=13.82 +2025-10-31 16:34:12,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.956, max=9.14, mean=-0.1136, std=2.417, absmax=9.956 +2025-10-31 16:34:13,473 ERROR: Encountered non-finite generator loss at iter 2638; skipping update. +2025-10-31 16:34:13,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:13,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:13,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.18, mean=-0.1251, std=2.958, absmax=13.18 +2025-10-31 16:34:13,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.058, max=9.299, mean=-0.164, std=2.483, absmax=9.299 +2025-10-31 16:34:13,978 ERROR: Encountered non-finite generator loss at iter 2639; skipping update. +2025-10-31 16:34:13,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:13,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:13,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:13,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:13,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.73, mean=-0.1214, std=3.105, absmax=13.42 +2025-10-31 16:34:13,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.92, max=10.36, mean=-0.1336, std=2.543, absmax=10.36 +2025-10-31 16:34:14,482 ERROR: Encountered non-finite generator loss at iter 2640; skipping update. +2025-10-31 16:34:14,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:14,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:14,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.26, mean=-0.2541, std=2.91, absmax=13.85 +2025-10-31 16:34:14,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=7.775, mean=-0.2805, std=2.375, absmax=11.27 +2025-10-31 16:34:14,987 ERROR: Encountered non-finite generator loss at iter 2641; skipping update. +2025-10-31 16:34:14,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:14,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:14,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:14,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:14,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.55, mean=0.02649, std=3.494, absmax=14.55 +2025-10-31 16:34:14,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=12.76, mean=0.0618, std=3.034, absmax=12.76 +2025-10-31 16:34:15,493 ERROR: Encountered non-finite generator loss at iter 2642; skipping update. +2025-10-31 16:34:15,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:15,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:15,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:15,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:15,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:15,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:15,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:15,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:15,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.65, mean=0.1214, std=2.931, absmax=13.65 +2025-10-31 16:34:15,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.142, max=8.665, mean=0.02414, std=2.286, absmax=9.142 +2025-10-31 16:34:15,997 ERROR: Encountered non-finite generator loss at iter 2643; skipping update. +2025-10-31 16:34:15,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:16,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:16,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.53, mean=-0.1421, std=2.938, absmax=14.53 +2025-10-31 16:34:16,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=8.934, mean=-0.1265, std=2.345, absmax=10.82 +2025-10-31 16:34:16,501 ERROR: Encountered non-finite generator loss at iter 2644; skipping update. +2025-10-31 16:34:16,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:16,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:16,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:16,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:16,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.54, mean=-0.1454, std=2.644, absmax=13.51 +2025-10-31 16:34:16,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=7.955, mean=-0.1891, std=2.199, absmax=10.91 +2025-10-31 16:34:17,005 ERROR: Encountered non-finite generator loss at iter 2645; skipping update. +2025-10-31 16:34:17,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:17,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:17,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.16, mean=0.1055, std=3.413, absmax=14.16 +2025-10-31 16:34:17,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.666, max=11.71, mean=0.05993, std=2.662, absmax=11.71 +2025-10-31 16:34:17,509 ERROR: Encountered non-finite generator loss at iter 2646; skipping update. +2025-10-31 16:34:17,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:17,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:17,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:17,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:17,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.28, mean=-0.1859, std=3.168, absmax=13.68 +2025-10-31 16:34:17,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=12.79, mean=-0.2076, std=2.816, absmax=12.79 +2025-10-31 16:34:18,015 ERROR: Encountered non-finite generator loss at iter 2647; skipping update. +2025-10-31 16:34:18,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,021 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:18,023 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:18,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.33, mean=-0.2024, std=2.429, absmax=12.48 +2025-10-31 16:34:18,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.1, max=7.243, mean=-0.1984, std=2.07, absmax=13.1 +2025-10-31 16:34:18,519 ERROR: Encountered non-finite generator loss at iter 2648; skipping update. +2025-10-31 16:34:18,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:18,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:18,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:18,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:18,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.62, mean=-0.183, std=3.123, absmax=14.62 +2025-10-31 16:34:18,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=13.19, mean=-0.1636, std=2.525, absmax=13.19 +2025-10-31 16:34:19,024 ERROR: Encountered non-finite generator loss at iter 2649; skipping update. +2025-10-31 16:34:19,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:19,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:19,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.54, mean=0.0485, std=3.729, absmax=15.54 +2025-10-31 16:34:19,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=14.29, mean=0.005567, std=3.275, absmax=14.29 +2025-10-31 16:34:19,526 ERROR: Encountered non-finite generator loss at iter 2650; skipping update. +2025-10-31 16:34:19,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:19,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:19,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:19,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:19,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.11, mean=-0.1102, std=2.815, absmax=11.95 +2025-10-31 16:34:19,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.573, max=9.151, mean=-0.104, std=2.411, absmax=9.573 +2025-10-31 16:34:20,030 ERROR: Encountered non-finite generator loss at iter 2651; skipping update. +2025-10-31 16:34:20,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,035 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,036 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:20,039 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:20,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.72, mean=-0.2326, std=2.718, absmax=14.72 +2025-10-31 16:34:20,041 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.951, mean=-0.2533, std=2.271, absmax=10 +2025-10-31 16:34:20,535 ERROR: Encountered non-finite generator loss at iter 2652; skipping update. +2025-10-31 16:34:20,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:20,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:20,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:20,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:20,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=20.16, mean=-0.2075, std=2.993, absmax=20.16 +2025-10-31 16:34:20,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.727, mean=-0.2211, std=2.515, absmax=10.3 +2025-10-31 16:34:21,041 ERROR: Encountered non-finite generator loss at iter 2653; skipping update. +2025-10-31 16:34:21,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:21,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:21,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.21, mean=0.1609, std=3.244, absmax=13.21 +2025-10-31 16:34:21,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.66, mean=0.1569, std=2.726, absmax=11.19 +2025-10-31 16:34:21,544 ERROR: Encountered non-finite generator loss at iter 2654; skipping update. +2025-10-31 16:34:21,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:21,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:21,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:21,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:21,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=18.7, mean=-0.06169, std=3.2, absmax=18.7 +2025-10-31 16:34:21,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=11.01, mean=-0.08842, std=2.59, absmax=11.01 +2025-10-31 16:34:22,046 ERROR: Encountered non-finite generator loss at iter 2655; skipping update. +2025-10-31 16:34:22,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:22,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:22,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=15.21, mean=0.2017, std=3.962, absmax=15.21 +2025-10-31 16:34:22,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=14.77, mean=0.1913, std=3.42, absmax=14.77 +2025-10-31 16:34:22,548 ERROR: Encountered non-finite generator loss at iter 2656; skipping update. +2025-10-31 16:34:22,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:22,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:22,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:22,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:22,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.93, mean=-0.06985, std=3.262, absmax=14.93 +2025-10-31 16:34:22,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=13.87, mean=-0.06243, std=2.887, absmax=13.87 +2025-10-31 16:34:23,050 ERROR: Encountered non-finite generator loss at iter 2657; skipping update. +2025-10-31 16:34:23,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:23,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:23,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.34, mean=-0.09531, std=2.892, absmax=12.76 +2025-10-31 16:34:23,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.109, max=9.682, mean=-0.1089, std=2.475, absmax=9.682 +2025-10-31 16:34:23,553 ERROR: Encountered non-finite generator loss at iter 2658; skipping update. +2025-10-31 16:34:23,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:23,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:23,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:23,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:23,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.18, mean=-0.14, std=2.695, absmax=13.18 +2025-10-31 16:34:23,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.31, max=11.45, mean=-0.1188, std=2.242, absmax=11.45 +2025-10-31 16:34:24,056 ERROR: Encountered non-finite generator loss at iter 2659; skipping update. +2025-10-31 16:34:24,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:24,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:24,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.99, mean=-0.1186, std=3.25, absmax=13.99 +2025-10-31 16:34:24,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.143, max=11.97, mean=-0.1001, std=2.669, absmax=11.97 +2025-10-31 16:34:24,560 ERROR: Encountered non-finite generator loss at iter 2660; skipping update. +2025-10-31 16:34:24,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:24,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:24,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:24,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:24,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.82, mean=-0.2056, std=3.039, absmax=14.17 +2025-10-31 16:34:24,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=7.916, mean=-0.1916, std=2.37, absmax=10.58 +2025-10-31 16:34:25,062 ERROR: Encountered non-finite generator loss at iter 2661; skipping update. +2025-10-31 16:34:25,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:25,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:25,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.24, mean=-0.3254, std=2.724, absmax=13.36 +2025-10-31 16:34:25,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=12.36, mean=-0.2653, std=2.312, absmax=12.36 +2025-10-31 16:34:25,565 ERROR: Encountered non-finite generator loss at iter 2662; skipping update. +2025-10-31 16:34:25,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:25,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:25,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:25,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:25,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.59, mean=-0.1203, std=3.053, absmax=13.59 +2025-10-31 16:34:25,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.765, max=9.775, mean=-0.1227, std=2.592, absmax=9.775 +2025-10-31 16:34:26,065 ERROR: Encountered non-finite generator loss at iter 2663; skipping update. +2025-10-31 16:34:26,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:26,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:26,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=10.95, mean=-0.1509, std=2.549, absmax=11.27 +2025-10-31 16:34:26,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.256, max=7.776, mean=-0.1667, std=2.125, absmax=9.256 +2025-10-31 16:34:26,567 ERROR: Encountered non-finite generator loss at iter 2664; skipping update. +2025-10-31 16:34:26,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:26,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:26,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:26,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:26,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.73, mean=-0.1531, std=3.101, absmax=14.73 +2025-10-31 16:34:26,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=12.69, mean=-0.1643, std=2.569, absmax=12.69 +2025-10-31 16:34:27,070 ERROR: Encountered non-finite generator loss at iter 2665; skipping update. +2025-10-31 16:34:27,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:27,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:27,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.96, mean=-0.2574, std=2.939, absmax=12.17 +2025-10-31 16:34:27,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.788, max=8.938, mean=-0.242, std=2.402, absmax=8.938 +2025-10-31 16:34:27,573 ERROR: Encountered non-finite generator loss at iter 2666; skipping update. +2025-10-31 16:34:27,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:27,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:27,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:27,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:27,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.02, mean=-0.1377, std=2.803, absmax=13.36 +2025-10-31 16:34:27,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.295, max=9.439, mean=-0.1213, std=2.386, absmax=9.439 +2025-10-31 16:34:28,076 ERROR: Encountered non-finite generator loss at iter 2667; skipping update. +2025-10-31 16:34:28,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:28,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:28,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.95, mean=0.05322, std=3.437, absmax=14.99 +2025-10-31 16:34:28,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=11.46, mean=0.02007, std=2.825, absmax=11.46 +2025-10-31 16:34:28,578 ERROR: Encountered non-finite generator loss at iter 2668; skipping update. +2025-10-31 16:34:28,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:28,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:28,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:28,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:28,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.57, mean=0.05576, std=3.307, absmax=14.57 +2025-10-31 16:34:28,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.813, max=11.98, mean=0.0331, std=2.585, absmax=11.98 +2025-10-31 16:34:29,079 ERROR: Encountered non-finite generator loss at iter 2669; skipping update. +2025-10-31 16:34:29,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:29,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:29,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.74, mean=-0.07534, std=3.058, absmax=12.74 +2025-10-31 16:34:29,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.42, max=10.58, mean=-0.0884, std=2.652, absmax=10.58 +2025-10-31 16:34:29,582 ERROR: Encountered non-finite generator loss at iter 2670; skipping update. +2025-10-31 16:34:29,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:29,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:29,589 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:29,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:29,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=11.04, mean=-0.2418, std=2.802, absmax=14.15 +2025-10-31 16:34:29,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.03, mean=-0.2445, std=2.296, absmax=11.03 +2025-10-31 16:34:30,085 ERROR: Encountered non-finite generator loss at iter 2671; skipping update. +2025-10-31 16:34:30,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:30,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:30,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.81, mean=-0.1778, std=3.355, absmax=12.81 +2025-10-31 16:34:30,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=11.65, mean=-0.1331, std=2.783, absmax=11.65 +2025-10-31 16:34:30,589 ERROR: Encountered non-finite generator loss at iter 2672; skipping update. +2025-10-31 16:34:30,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:30,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:30,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:30,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:30,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.33, mean=-0.3079, std=3.128, absmax=13.33 +2025-10-31 16:34:30,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.463, mean=-0.2993, std=2.591, absmax=11.34 +2025-10-31 16:34:31,090 ERROR: Encountered non-finite generator loss at iter 2673; skipping update. +2025-10-31 16:34:31,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:31,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:31,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=15.88, mean=-0.1523, std=3.211, absmax=15.88 +2025-10-31 16:34:31,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=9.841, mean=-0.1439, std=2.633, absmax=9.841 +2025-10-31 16:34:31,594 ERROR: Encountered non-finite generator loss at iter 2674; skipping update. +2025-10-31 16:34:31,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:31,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:31,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:31,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:31,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=13.81, mean=-0.04591, std=3.227, absmax=13.81 +2025-10-31 16:34:31,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.861, max=12.89, mean=-0.05846, std=2.844, absmax=12.89 +2025-10-31 16:34:32,097 ERROR: Encountered non-finite generator loss at iter 2675; skipping update. +2025-10-31 16:34:32,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:32,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:32,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.13, mean=-0.2692, std=3.041, absmax=13.1 +2025-10-31 16:34:32,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=9.259, mean=-0.2444, std=2.63, absmax=12.23 +2025-10-31 16:34:32,601 ERROR: Encountered non-finite generator loss at iter 2676; skipping update. +2025-10-31 16:34:32,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:32,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:32,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:32,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:32,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.9, mean=-0.2869, std=3.393, absmax=13.9 +2025-10-31 16:34:32,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.319, mean=-0.2444, std=2.699, absmax=10.33 +2025-10-31 16:34:33,109 ERROR: Encountered non-finite generator loss at iter 2677; skipping update. +2025-10-31 16:34:33,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:33,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:33,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14.54, mean=-0.02647, std=2.746, absmax=14.54 +2025-10-31 16:34:33,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.969, max=10.47, mean=-0.03766, std=2.236, absmax=10.47 +2025-10-31 16:34:33,612 ERROR: Encountered non-finite generator loss at iter 2678; skipping update. +2025-10-31 16:34:33,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:33,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:33,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:33,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:33,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.41, mean=-0.284, std=2.754, absmax=13.19 +2025-10-31 16:34:33,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=8.641, mean=-0.2147, std=2.455, absmax=11.22 +2025-10-31 16:34:34,116 ERROR: Encountered non-finite generator loss at iter 2679; skipping update. +2025-10-31 16:34:34,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:34,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:34,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=16.16, mean=-0.03204, std=2.878, absmax=16.16 +2025-10-31 16:34:34,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=11.91, mean=-0.0833, std=2.499, absmax=11.91 +2025-10-31 16:34:34,620 ERROR: Encountered non-finite generator loss at iter 2680; skipping update. +2025-10-31 16:34:34,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:34,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:34,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:34,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:34,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.26, mean=0.01844, std=3.219, absmax=12.26 +2025-10-31 16:34:34,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.866, max=10.38, mean=-0.02709, std=2.802, absmax=10.38 +2025-10-31 16:34:35,122 ERROR: Encountered non-finite generator loss at iter 2681; skipping update. +2025-10-31 16:34:35,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:35,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:35,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.45, max=18.11, mean=-0.1028, std=2.746, absmax=18.11 +2025-10-31 16:34:35,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=12.74, mean=-0.102, std=2.241, absmax=12.74 +2025-10-31 16:34:35,624 ERROR: Encountered non-finite generator loss at iter 2682; skipping update. +2025-10-31 16:34:35,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:35,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:35,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:35,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:35,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=15.21, mean=-0.2678, std=4.047, absmax=15.21 +2025-10-31 16:34:35,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.42, max=10.45, mean=-0.3228, std=3.353, absmax=12.42 +2025-10-31 16:34:36,125 ERROR: Encountered non-finite generator loss at iter 2683; skipping update. +2025-10-31 16:34:36,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:36,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:36,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.66, mean=-0.02506, std=3.116, absmax=13.34 +2025-10-31 16:34:36,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.605, mean=-0.06477, std=2.468, absmax=11.08 +2025-10-31 16:34:36,626 ERROR: Encountered non-finite generator loss at iter 2684; skipping update. +2025-10-31 16:34:36,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:36,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:36,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:36,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:36,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.05, mean=-0.2815, std=3.088, absmax=13.85 +2025-10-31 16:34:36,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=10.73, mean=-0.238, std=2.685, absmax=11.23 +2025-10-31 16:34:37,126 ERROR: Encountered non-finite generator loss at iter 2685; skipping update. +2025-10-31 16:34:37,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:37,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:37,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.47, mean=-0.01889, std=3.194, absmax=13.32 +2025-10-31 16:34:37,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.41, mean=-0.05517, std=2.861, absmax=10.41 +2025-10-31 16:34:37,626 ERROR: Encountered non-finite generator loss at iter 2686; skipping update. +2025-10-31 16:34:37,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:37,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:37,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:37,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:37,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=13.1, mean=-0.2515, std=3.751, absmax=15.6 +2025-10-31 16:34:37,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.6, max=10.84, mean=-0.2427, std=3.134, absmax=13.6 +2025-10-31 16:34:38,127 ERROR: Encountered non-finite generator loss at iter 2687; skipping update. +2025-10-31 16:34:38,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:38,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:38,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=10.67, mean=-0.3416, std=2.545, absmax=12.2 +2025-10-31 16:34:38,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.594, max=8.554, mean=-0.3193, std=2.176, absmax=8.594 +2025-10-31 16:34:38,630 ERROR: Encountered non-finite generator loss at iter 2688; skipping update. +2025-10-31 16:34:38,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:38,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:38,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:38,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:38,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.52, mean=-0.01578, std=3.11, absmax=13.52 +2025-10-31 16:34:38,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=11.76, mean=-0.03032, std=2.544, absmax=11.76 +2025-10-31 16:34:39,132 ERROR: Encountered non-finite generator loss at iter 2689; skipping update. +2025-10-31 16:34:39,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:39,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:39,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.05, mean=-0.2737, std=2.848, absmax=13.06 +2025-10-31 16:34:39,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.06, mean=-0.2439, std=2.381, absmax=10.95 +2025-10-31 16:34:39,632 ERROR: Encountered non-finite generator loss at iter 2690; skipping update. +2025-10-31 16:34:39,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:39,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:39,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:39,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:39,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.58, mean=-0.08093, std=3.218, absmax=13.58 +2025-10-31 16:34:39,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.74, max=9.322, mean=-0.08216, std=2.59, absmax=9.74 +2025-10-31 16:34:40,134 ERROR: Encountered non-finite generator loss at iter 2691; skipping update. +2025-10-31 16:34:40,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:40,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:40,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.45, mean=-0.06248, std=3.46, absmax=14.45 +2025-10-31 16:34:40,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=12.22, mean=-0.07921, std=2.753, absmax=12.22 +2025-10-31 16:34:40,636 ERROR: Encountered non-finite generator loss at iter 2692; skipping update. +2025-10-31 16:34:40,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:40,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:40,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:40,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:40,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.91, mean=-0.2651, std=2.748, absmax=13.91 +2025-10-31 16:34:40,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=11.72, mean=-0.2755, std=2.251, absmax=11.72 +2025-10-31 16:34:41,139 ERROR: Encountered non-finite generator loss at iter 2693; skipping update. +2025-10-31 16:34:41,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:41,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:41,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=10.74, mean=-0.2625, std=2.99, absmax=12.26 +2025-10-31 16:34:41,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.406, mean=-0.2363, std=2.353, absmax=10.14 +2025-10-31 16:34:41,641 ERROR: Encountered non-finite generator loss at iter 2694; skipping update. +2025-10-31 16:34:41,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:41,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:41,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:41,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:41,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.05, mean=-0.3031, std=2.598, absmax=13.05 +2025-10-31 16:34:41,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.525, mean=-0.3148, std=2.263, absmax=10.73 +2025-10-31 16:34:42,141 ERROR: Encountered non-finite generator loss at iter 2695; skipping update. +2025-10-31 16:34:42,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,147 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:42,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:42,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.08, mean=-0.1297, std=2.549, absmax=12.57 +2025-10-31 16:34:42,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.458, max=10.73, mean=-0.1476, std=2.135, absmax=10.73 +2025-10-31 16:34:42,643 ERROR: Encountered non-finite generator loss at iter 2696; skipping update. +2025-10-31 16:34:42,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:42,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:42,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:42,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:42,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.44, mean=-0.1687, std=2.933, absmax=13.38 +2025-10-31 16:34:42,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.854, mean=-0.1273, std=2.496, absmax=11.1 +2025-10-31 16:34:43,144 ERROR: Encountered non-finite generator loss at iter 2697; skipping update. +2025-10-31 16:34:43,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:43,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:43,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.02, mean=0.01288, std=3.286, absmax=12.91 +2025-10-31 16:34:43,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.788, max=10.52, mean=0.02125, std=2.868, absmax=10.52 +2025-10-31 16:34:43,647 ERROR: Encountered non-finite generator loss at iter 2698; skipping update. +2025-10-31 16:34:43,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,652 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:43,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:43,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:43,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:43,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.9, mean=-0.3422, std=3.508, absmax=12.99 +2025-10-31 16:34:43,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=9.018, mean=-0.323, std=2.888, absmax=12.33 +2025-10-31 16:34:44,146 ERROR: Encountered non-finite generator loss at iter 2699; skipping update. +2025-10-31 16:34:44,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:44,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:44,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.06, mean=-0.1405, std=2.658, absmax=12.06 +2025-10-31 16:34:44,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.227, max=9.218, mean=-0.1179, std=2.287, absmax=9.227 +2025-10-31 16:34:44,648 ERROR: Encountered non-finite generator loss at iter 2700; skipping update. +2025-10-31 16:34:44,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,651 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:44,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:44,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:44,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:44,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.08, mean=0.144, std=3.619, absmax=15.08 +2025-10-31 16:34:44,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.958, max=14.78, mean=0.1368, std=3.141, absmax=14.78 +2025-10-31 16:34:44,657 INFO: [29..][epoch: 0, step: 2,700, lr:(1.500e-04,)] [eta: 1 day, 22:53:43, time (data): 0.503 (0.000)] +2025-10-31 16:34:45,148 ERROR: Encountered non-finite generator loss at iter 2701; skipping update. +2025-10-31 16:34:45,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:45,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:45,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.07, mean=-0.2215, std=2.489, absmax=14.07 +2025-10-31 16:34:45,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.913, mean=-0.2153, std=2.129, absmax=10.69 +2025-10-31 16:34:45,649 ERROR: Encountered non-finite generator loss at iter 2702; skipping update. +2025-10-31 16:34:45,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:45,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:45,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:45,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:45,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.09, mean=-0.238, std=2.936, absmax=13.03 +2025-10-31 16:34:45,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.216, mean=-0.2525, std=2.393, absmax=10.8 +2025-10-31 16:34:46,150 ERROR: Encountered non-finite generator loss at iter 2703; skipping update. +2025-10-31 16:34:46,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:46,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:46,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.99, mean=-0.08329, std=3.229, absmax=14 +2025-10-31 16:34:46,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=11.17, mean=-0.08718, std=2.785, absmax=12.29 +2025-10-31 16:34:46,651 ERROR: Encountered non-finite generator loss at iter 2704; skipping update. +2025-10-31 16:34:46,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:46,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:46,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:46,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:46,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.87, mean=-0.09693, std=3.331, absmax=15.87 +2025-10-31 16:34:46,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.98, mean=-0.07283, std=2.658, absmax=11.98 +2025-10-31 16:34:47,170 ERROR: Encountered non-finite generator loss at iter 2705; skipping update. +2025-10-31 16:34:47,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:47,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:47,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=15.1, mean=0.1055, std=3.922, absmax=15.1 +2025-10-31 16:34:47,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=13.92, mean=0.06384, std=3.32, absmax=13.92 +2025-10-31 16:34:47,672 ERROR: Encountered non-finite generator loss at iter 2706; skipping update. +2025-10-31 16:34:47,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:47,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:47,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:47,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:47,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=11.31, mean=-0.338, std=3.06, absmax=14.36 +2025-10-31 16:34:47,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=7.559, mean=-0.3206, std=2.493, absmax=10.99 +2025-10-31 16:34:48,176 ERROR: Encountered non-finite generator loss at iter 2707; skipping update. +2025-10-31 16:34:48,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:48,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:48,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.1, mean=-0.04586, std=2.756, absmax=12.1 +2025-10-31 16:34:48,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.494, mean=-0.09307, std=2.428, absmax=10.38 +2025-10-31 16:34:48,680 ERROR: Encountered non-finite generator loss at iter 2708; skipping update. +2025-10-31 16:34:48,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:48,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:48,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:48,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:48,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.51, mean=0.04547, std=3.087, absmax=12.51 +2025-10-31 16:34:48,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.727, max=11.03, mean=-0.02259, std=2.642, absmax=11.03 +2025-10-31 16:34:49,184 ERROR: Encountered non-finite generator loss at iter 2709; skipping update. +2025-10-31 16:34:49,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:49,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:49,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.3, mean=-0.01892, std=3.516, absmax=14.3 +2025-10-31 16:34:49,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=11.64, mean=-0.04429, std=3.09, absmax=11.64 +2025-10-31 16:34:49,687 ERROR: Encountered non-finite generator loss at iter 2710; skipping update. +2025-10-31 16:34:49,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:49,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:49,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:49,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:49,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=16.48, mean=-0.4056, std=3.293, absmax=16.48 +2025-10-31 16:34:49,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=14.1, mean=-0.3907, std=2.926, absmax=14.1 +2025-10-31 16:34:50,189 ERROR: Encountered non-finite generator loss at iter 2711; skipping update. +2025-10-31 16:34:50,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:50,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:50,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=12.07, mean=0.01066, std=2.871, absmax=12.07 +2025-10-31 16:34:50,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.501, max=9.917, mean=-0.08894, std=2.316, absmax=9.917 +2025-10-31 16:34:50,691 ERROR: Encountered non-finite generator loss at iter 2712; skipping update. +2025-10-31 16:34:50,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,693 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:50,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:50,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:50,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:50,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=13.56, mean=-0.3133, std=2.843, absmax=14.94 +2025-10-31 16:34:50,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=9.428, mean=-0.3225, std=2.481, absmax=12.53 +2025-10-31 16:34:51,193 ERROR: Encountered non-finite generator loss at iter 2713; skipping update. +2025-10-31 16:34:51,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,200 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:51,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:51,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.22, mean=-0.2035, std=3.698, absmax=12.27 +2025-10-31 16:34:51,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=10.99, mean=-0.2323, std=3.181, absmax=10.99 +2025-10-31 16:34:51,696 ERROR: Encountered non-finite generator loss at iter 2714; skipping update. +2025-10-31 16:34:51,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:51,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:51,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:51,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:51,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.11, mean=-0.2625, std=3.203, absmax=13.05 +2025-10-31 16:34:51,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.23, mean=-0.2405, std=2.686, absmax=10.27 +2025-10-31 16:34:52,199 ERROR: Encountered non-finite generator loss at iter 2715; skipping update. +2025-10-31 16:34:52,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:52,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:52,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.54, mean=-0.007039, std=3.123, absmax=13.54 +2025-10-31 16:34:52,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.114, max=10.52, mean=-0.03517, std=2.498, absmax=10.52 +2025-10-31 16:34:52,700 ERROR: Encountered non-finite generator loss at iter 2716; skipping update. +2025-10-31 16:34:52,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:52,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:52,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:52,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:52,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.42, mean=-0.08626, std=3.175, absmax=12.81 +2025-10-31 16:34:52,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=10.38, mean=-0.07746, std=2.695, absmax=11.5 +2025-10-31 16:34:53,200 ERROR: Encountered non-finite generator loss at iter 2717; skipping update. +2025-10-31 16:34:53,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:53,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:53,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.7, mean=-0.02367, std=3, absmax=14.7 +2025-10-31 16:34:53,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.521, max=11.79, mean=-0.045, std=2.391, absmax=11.79 +2025-10-31 16:34:53,703 ERROR: Encountered non-finite generator loss at iter 2718; skipping update. +2025-10-31 16:34:53,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:53,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:53,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:53,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:53,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.93, mean=-0.162, std=3.007, absmax=13.93 +2025-10-31 16:34:53,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=11.33, mean=-0.1429, std=2.408, absmax=11.33 +2025-10-31 16:34:54,204 ERROR: Encountered non-finite generator loss at iter 2719; skipping update. +2025-10-31 16:34:54,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:54,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:54,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.82, mean=-0.003337, std=3.165, absmax=14.34 +2025-10-31 16:34:54,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.457, mean=0.009687, std=2.509, absmax=10.05 +2025-10-31 16:34:54,706 ERROR: Encountered non-finite generator loss at iter 2720; skipping update. +2025-10-31 16:34:54,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:54,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:54,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:54,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:54,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.05, mean=-0.2959, std=2.635, absmax=13.27 +2025-10-31 16:34:54,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.754, mean=-0.3132, std=2.292, absmax=10.63 +2025-10-31 16:34:55,207 ERROR: Encountered non-finite generator loss at iter 2721; skipping update. +2025-10-31 16:34:55,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,211 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:55,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:55,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.83, mean=-0.2192, std=3.175, absmax=14.15 +2025-10-31 16:34:55,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.465, mean=-0.2406, std=2.48, absmax=10.46 +2025-10-31 16:34:55,710 ERROR: Encountered non-finite generator loss at iter 2722; skipping update. +2025-10-31 16:34:55,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:55,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:55,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:55,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:55,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.33, mean=-0.339, std=2.829, absmax=13.65 +2025-10-31 16:34:55,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.461, mean=-0.324, std=2.369, absmax=10.87 +2025-10-31 16:34:56,213 ERROR: Encountered non-finite generator loss at iter 2723; skipping update. +2025-10-31 16:34:56,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:56,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:56,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.15, mean=-0.1517, std=2.5, absmax=12.15 +2025-10-31 16:34:56,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.715, max=8.131, mean=-0.167, std=2.115, absmax=8.715 +2025-10-31 16:34:56,715 ERROR: Encountered non-finite generator loss at iter 2724; skipping update. +2025-10-31 16:34:56,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:56,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:56,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:56,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:56,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.5, mean=-0.03659, std=3.609, absmax=13.5 +2025-10-31 16:34:56,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=11.94, mean=-0.02566, std=3.064, absmax=11.94 +2025-10-31 16:34:57,218 ERROR: Encountered non-finite generator loss at iter 2725; skipping update. +2025-10-31 16:34:57,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:57,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:57,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=14.24, mean=-0.009944, std=3.686, absmax=14.72 +2025-10-31 16:34:57,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.73, mean=-0.03211, std=2.968, absmax=10.73 +2025-10-31 16:34:57,721 ERROR: Encountered non-finite generator loss at iter 2726; skipping update. +2025-10-31 16:34:57,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:57,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:57,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:57,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:57,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.47, mean=-0.3275, std=2.642, absmax=12.47 +2025-10-31 16:34:57,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=8.07, mean=-0.2965, std=2.482, absmax=10.97 +2025-10-31 16:34:58,222 ERROR: Encountered non-finite generator loss at iter 2727; skipping update. +2025-10-31 16:34:58,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:58,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:58,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=15.02, mean=0.2266, std=3.621, absmax=15.02 +2025-10-31 16:34:58,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.57, mean=0.1536, std=3.08, absmax=12.57 +2025-10-31 16:34:58,724 ERROR: Encountered non-finite generator loss at iter 2728; skipping update. +2025-10-31 16:34:58,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:58,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:58,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:58,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:58,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=9.99, mean=-0.1525, std=2.532, absmax=13.82 +2025-10-31 16:34:58,734 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=8.213, mean=-0.1467, std=2.288, absmax=11.88 +2025-10-31 16:34:59,226 ERROR: Encountered non-finite generator loss at iter 2729; skipping update. +2025-10-31 16:34:59,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:59,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:59,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.36, mean=-0.05669, std=3.007, absmax=12.38 +2025-10-31 16:34:59,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.121, max=11.14, mean=-0.06746, std=2.485, absmax=11.14 +2025-10-31 16:34:59,727 ERROR: Encountered non-finite generator loss at iter 2730; skipping update. +2025-10-31 16:34:59,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:34:59,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:34:59,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:34:59,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:34:59,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=16.25, mean=-0.2142, std=3.222, absmax=16.25 +2025-10-31 16:34:59,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.88, max=11.34, mean=-0.1607, std=2.675, absmax=11.34 +2025-10-31 16:35:00,229 ERROR: Encountered non-finite generator loss at iter 2731; skipping update. +2025-10-31 16:35:00,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:00,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:00,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.68, mean=-0.07474, std=3.175, absmax=13.06 +2025-10-31 16:35:00,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.67, mean=-0.08587, std=2.609, absmax=10.67 +2025-10-31 16:35:00,732 ERROR: Encountered non-finite generator loss at iter 2732; skipping update. +2025-10-31 16:35:00,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:00,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:00,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:00,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:00,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.51, mean=-0.1239, std=3.087, absmax=13.51 +2025-10-31 16:35:00,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.769, mean=-0.1347, std=2.537, absmax=10.15 +2025-10-31 16:35:01,233 ERROR: Encountered non-finite generator loss at iter 2733; skipping update. +2025-10-31 16:35:01,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:01,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:01,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=11.13, mean=-0.1224, std=2.754, absmax=11.13 +2025-10-31 16:35:01,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=8.678, mean=-0.139, std=2.355, absmax=9.365 +2025-10-31 16:35:01,738 ERROR: Encountered non-finite generator loss at iter 2734; skipping update. +2025-10-31 16:35:01,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:01,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:01,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:01,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:01,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.27, mean=-0.1859, std=3.36, absmax=15.27 +2025-10-31 16:35:01,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=8.05, mean=-0.1943, std=2.576, absmax=10.94 +2025-10-31 16:35:02,240 ERROR: Encountered non-finite generator loss at iter 2735; skipping update. +2025-10-31 16:35:02,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:02,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:02,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.63, mean=-0.1807, std=3.209, absmax=14.63 +2025-10-31 16:35:02,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=12.56, mean=-0.1666, std=2.622, absmax=12.56 +2025-10-31 16:35:02,739 ERROR: Encountered non-finite generator loss at iter 2736; skipping update. +2025-10-31 16:35:02,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:02,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:02,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:02,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:02,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.46, mean=-0.1452, std=2.802, absmax=13.46 +2025-10-31 16:35:02,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.934, max=9.591, mean=-0.1475, std=2.222, absmax=9.591 +2025-10-31 16:35:03,243 ERROR: Encountered non-finite generator loss at iter 2737; skipping update. +2025-10-31 16:35:03,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:03,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:03,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=15.47, mean=-0.281, std=3.154, absmax=15.67 +2025-10-31 16:35:03,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=11.1, mean=-0.273, std=2.702, absmax=11.75 +2025-10-31 16:35:03,745 ERROR: Encountered non-finite generator loss at iter 2738; skipping update. +2025-10-31 16:35:03,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:03,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:03,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:03,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:03,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.9, mean=0.01199, std=2.983, absmax=12.62 +2025-10-31 16:35:03,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.623, max=11.12, mean=0.01515, std=2.685, absmax=11.12 +2025-10-31 16:35:04,246 ERROR: Encountered non-finite generator loss at iter 2739; skipping update. +2025-10-31 16:35:04,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:04,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:04,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.24, max=13.89, mean=-0.08743, std=2.835, absmax=17.24 +2025-10-31 16:35:04,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.284, max=10.46, mean=-0.0815, std=2.263, absmax=10.46 +2025-10-31 16:35:04,745 ERROR: Encountered non-finite generator loss at iter 2740; skipping update. +2025-10-31 16:35:04,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:04,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:04,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:04,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:04,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.11, mean=-0.006783, std=2.94, absmax=14.11 +2025-10-31 16:35:04,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.553, max=10.57, mean=0.01756, std=2.535, absmax=10.57 +2025-10-31 16:35:05,245 ERROR: Encountered non-finite generator loss at iter 2741; skipping update. +2025-10-31 16:35:05,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:05,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:05,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.22, mean=-0.2643, std=2.945, absmax=13.22 +2025-10-31 16:35:05,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.931, mean=-0.1799, std=2.553, absmax=10.62 +2025-10-31 16:35:05,745 ERROR: Encountered non-finite generator loss at iter 2742; skipping update. +2025-10-31 16:35:05,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:05,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:05,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:05,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:05,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.94, mean=-0.1711, std=3.013, absmax=13.1 +2025-10-31 16:35:05,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.271, mean=-0.1386, std=2.51, absmax=10.44 +2025-10-31 16:35:06,245 ERROR: Encountered non-finite generator loss at iter 2743; skipping update. +2025-10-31 16:35:06,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:06,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:06,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.3, mean=-0.1257, std=2.893, absmax=12.56 +2025-10-31 16:35:06,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.258, mean=-0.1386, std=2.296, absmax=10.73 +2025-10-31 16:35:06,745 ERROR: Encountered non-finite generator loss at iter 2744; skipping update. +2025-10-31 16:35:06,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:06,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:06,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:06,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:06,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.86, mean=-0.241, std=3.031, absmax=13.24 +2025-10-31 16:35:06,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=8.474, mean=-0.2357, std=2.557, absmax=11 +2025-10-31 16:35:07,245 ERROR: Encountered non-finite generator loss at iter 2745; skipping update. +2025-10-31 16:35:07,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:07,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:07,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=12.09, mean=-0.2854, std=2.933, absmax=14.46 +2025-10-31 16:35:07,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.706, mean=-0.2931, std=2.406, absmax=10.14 +2025-10-31 16:35:07,745 ERROR: Encountered non-finite generator loss at iter 2746; skipping update. +2025-10-31 16:35:07,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:07,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:07,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:07,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:07,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.24, mean=0.1667, std=3.155, absmax=14.24 +2025-10-31 16:35:07,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=10.68, mean=0.1496, std=2.734, absmax=12.23 +2025-10-31 16:35:08,245 ERROR: Encountered non-finite generator loss at iter 2747; skipping update. +2025-10-31 16:35:08,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:08,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:08,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=9.927, mean=-0.1656, std=2.571, absmax=11.59 +2025-10-31 16:35:08,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.706, max=8.778, mean=-0.131, std=2.179, absmax=8.778 +2025-10-31 16:35:08,743 ERROR: Encountered non-finite generator loss at iter 2748; skipping update. +2025-10-31 16:35:08,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:08,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:08,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:08,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:08,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.04, mean=0.2443, std=3.7, absmax=14.04 +2025-10-31 16:35:08,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=12.47, mean=0.2255, std=3.193, absmax=12.47 +2025-10-31 16:35:09,243 ERROR: Encountered non-finite generator loss at iter 2749; skipping update. +2025-10-31 16:35:09,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:09,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:09,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=15.4, mean=-0.2626, std=3.163, absmax=15.6 +2025-10-31 16:35:09,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.33, mean=-0.2595, std=2.557, absmax=11.13 +2025-10-31 16:35:09,743 ERROR: Encountered non-finite generator loss at iter 2750; skipping update. +2025-10-31 16:35:09,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:09,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:09,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:09,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:09,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=16.71, mean=0.001593, std=3.167, absmax=16.71 +2025-10-31 16:35:09,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=12.54, mean=0.02473, std=2.757, absmax=12.54 +2025-10-31 16:35:10,242 ERROR: Encountered non-finite generator loss at iter 2751; skipping update. +2025-10-31 16:35:10,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:10,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:10,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.38, mean=-0.2754, std=3.085, absmax=13.55 +2025-10-31 16:35:10,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.803, max=11.03, mean=-0.2593, std=2.477, absmax=11.03 +2025-10-31 16:35:10,742 ERROR: Encountered non-finite generator loss at iter 2752; skipping update. +2025-10-31 16:35:10,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:10,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:10,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:10,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:10,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=15.27, mean=-0.1215, std=3.081, absmax=15.27 +2025-10-31 16:35:10,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.397, max=9.786, mean=-0.1095, std=2.33, absmax=9.786 +2025-10-31 16:35:11,241 ERROR: Encountered non-finite generator loss at iter 2753; skipping update. +2025-10-31 16:35:11,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,246 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:11,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:11,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.26, mean=-0.3099, std=2.871, absmax=12.33 +2025-10-31 16:35:11,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.654, mean=-0.2918, std=2.442, absmax=10.3 +2025-10-31 16:35:11,741 ERROR: Encountered non-finite generator loss at iter 2754; skipping update. +2025-10-31 16:35:11,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:11,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:11,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:11,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:11,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=17.13, mean=-0.3695, std=3.25, absmax=17.13 +2025-10-31 16:35:11,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.41, mean=-0.3088, std=2.651, absmax=11.26 +2025-10-31 16:35:12,242 ERROR: Encountered non-finite generator loss at iter 2755; skipping update. +2025-10-31 16:35:12,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,246 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:12,248 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:12,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=16.01, mean=-0.1104, std=2.7, absmax=16.01 +2025-10-31 16:35:12,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.286, mean=-0.1145, std=2.2, absmax=10.23 +2025-10-31 16:35:12,741 ERROR: Encountered non-finite generator loss at iter 2756; skipping update. +2025-10-31 16:35:12,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:12,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:12,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:12,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:12,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=18.39, mean=-0.1567, std=3.114, absmax=18.39 +2025-10-31 16:35:12,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=12.31, mean=-0.1604, std=2.63, absmax=12.31 +2025-10-31 16:35:13,241 ERROR: Encountered non-finite generator loss at iter 2757; skipping update. +2025-10-31 16:35:13,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:13,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:13,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.59, mean=-0.2528, std=3.216, absmax=14.59 +2025-10-31 16:35:13,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=10.4, mean=-0.2524, std=2.588, absmax=11.7 +2025-10-31 16:35:13,742 ERROR: Encountered non-finite generator loss at iter 2758; skipping update. +2025-10-31 16:35:13,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:13,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:13,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:13,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:13,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=13.31, mean=-0.2129, std=2.697, absmax=13.31 +2025-10-31 16:35:13,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.116, max=8.62, mean=-0.1885, std=2.246, absmax=9.116 +2025-10-31 16:35:14,243 ERROR: Encountered non-finite generator loss at iter 2759; skipping update. +2025-10-31 16:35:14,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:14,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:14,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.97, mean=-0.1476, std=2.729, absmax=13.97 +2025-10-31 16:35:14,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.465, max=8.132, mean=-0.1702, std=2.295, absmax=9.465 +2025-10-31 16:35:14,744 ERROR: Encountered non-finite generator loss at iter 2760; skipping update. +2025-10-31 16:35:14,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:14,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:14,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:14,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:14,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.46, mean=-0.2036, std=2.927, absmax=14.38 +2025-10-31 16:35:14,753 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=11.11, mean=-0.1794, std=2.474, absmax=11.62 +2025-10-31 16:35:15,244 ERROR: Encountered non-finite generator loss at iter 2761; skipping update. +2025-10-31 16:35:15,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:15,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:15,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=18.97, mean=-0.1182, std=3.227, absmax=18.97 +2025-10-31 16:35:15,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=11.42, mean=-0.1325, std=2.772, absmax=11.42 +2025-10-31 16:35:15,746 ERROR: Encountered non-finite generator loss at iter 2762; skipping update. +2025-10-31 16:35:15,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:15,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:15,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:15,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:15,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.96, mean=-0.1262, std=3.018, absmax=12.96 +2025-10-31 16:35:15,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=9.15, mean=-0.144, std=2.466, absmax=9.711 +2025-10-31 16:35:16,247 ERROR: Encountered non-finite generator loss at iter 2763; skipping update. +2025-10-31 16:35:16,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:16,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:16,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.62, max=12.94, mean=-0.0685, std=3.036, absmax=16.62 +2025-10-31 16:35:16,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.778, max=11.51, mean=-0.05864, std=2.567, absmax=11.51 +2025-10-31 16:35:16,748 ERROR: Encountered non-finite generator loss at iter 2764; skipping update. +2025-10-31 16:35:16,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:16,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:16,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:16,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:16,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=10.64, mean=-0.2151, std=3.027, absmax=14.42 +2025-10-31 16:35:16,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=8.794, mean=-0.2423, std=2.533, absmax=13.39 +2025-10-31 16:35:17,249 ERROR: Encountered non-finite generator loss at iter 2765; skipping update. +2025-10-31 16:35:17,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:17,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:17,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=11.84, mean=-0.01925, std=2.904, absmax=13.62 +2025-10-31 16:35:17,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.919, max=10.48, mean=-0.0327, std=2.469, absmax=10.48 +2025-10-31 16:35:17,749 ERROR: Encountered non-finite generator loss at iter 2766; skipping update. +2025-10-31 16:35:17,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:17,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:17,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:17,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:17,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.79, mean=0.09389, std=3.493, absmax=13.79 +2025-10-31 16:35:17,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=11.67, mean=0.03908, std=2.806, absmax=11.67 +2025-10-31 16:35:18,251 ERROR: Encountered non-finite generator loss at iter 2767; skipping update. +2025-10-31 16:35:18,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:18,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:18,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=15.18, mean=0.02853, std=2.939, absmax=15.18 +2025-10-31 16:35:18,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.615, max=11.6, mean=-0.01609, std=2.603, absmax=11.6 +2025-10-31 16:35:18,752 ERROR: Encountered non-finite generator loss at iter 2768; skipping update. +2025-10-31 16:35:18,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:18,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:18,758 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:18,759 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:18,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.04, mean=-0.2421, std=3.248, absmax=15.04 +2025-10-31 16:35:18,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.55, mean=-0.232, std=2.733, absmax=10.18 +2025-10-31 16:35:19,255 ERROR: Encountered non-finite generator loss at iter 2769; skipping update. +2025-10-31 16:35:19,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:19,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:19,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.15, mean=0.06798, std=3.308, absmax=14.15 +2025-10-31 16:35:19,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=10.91, mean=0.06259, std=2.754, absmax=11.54 +2025-10-31 16:35:19,758 ERROR: Encountered non-finite generator loss at iter 2770; skipping update. +2025-10-31 16:35:19,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:19,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:19,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:19,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:19,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.12, mean=-0.2507, std=3.227, absmax=14.12 +2025-10-31 16:35:19,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=9.69, mean=-0.3024, std=2.81, absmax=11.32 +2025-10-31 16:35:20,260 ERROR: Encountered non-finite generator loss at iter 2771; skipping update. +2025-10-31 16:35:20,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:20,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:20,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=10.85, mean=-0.2964, std=2.477, absmax=12.92 +2025-10-31 16:35:20,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.287, mean=-0.2515, std=2.111, absmax=10.04 +2025-10-31 16:35:20,762 ERROR: Encountered non-finite generator loss at iter 2772; skipping update. +2025-10-31 16:35:20,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,765 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:20,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:20,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:20,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:20,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.43, mean=-0.1804, std=3.139, absmax=12.43 +2025-10-31 16:35:20,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=9.774, mean=-0.187, std=2.508, absmax=9.774 +2025-10-31 16:35:21,266 ERROR: Encountered non-finite generator loss at iter 2773; skipping update. +2025-10-31 16:35:21,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:21,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:21,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=16.31, mean=0.1917, std=3.285, absmax=16.31 +2025-10-31 16:35:21,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.261, max=11.97, mean=0.1738, std=2.71, absmax=11.97 +2025-10-31 16:35:21,768 ERROR: Encountered non-finite generator loss at iter 2774; skipping update. +2025-10-31 16:35:21,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:21,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:21,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:21,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:21,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=10.4, mean=-0.3789, std=3.164, absmax=13.89 +2025-10-31 16:35:21,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=9.193, mean=-0.3621, std=2.682, absmax=10.94 +2025-10-31 16:35:22,271 ERROR: Encountered non-finite generator loss at iter 2775; skipping update. +2025-10-31 16:35:22,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:22,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:22,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.74, mean=-0.2284, std=2.746, absmax=11.74 +2025-10-31 16:35:22,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.795, mean=-0.2293, std=2.19, absmax=10.14 +2025-10-31 16:35:22,771 ERROR: Encountered non-finite generator loss at iter 2776; skipping update. +2025-10-31 16:35:22,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,774 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:22,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:22,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:22,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:22,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=10.98, mean=-0.1662, std=2.91, absmax=13.77 +2025-10-31 16:35:22,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.713, mean=-0.1777, std=2.497, absmax=10.42 +2025-10-31 16:35:23,274 ERROR: Encountered non-finite generator loss at iter 2777; skipping update. +2025-10-31 16:35:23,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:23,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:23,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=13.49, mean=-0.09558, std=3.394, absmax=14.32 +2025-10-31 16:35:23,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.59, mean=-0.125, std=2.85, absmax=10.65 +2025-10-31 16:35:23,777 ERROR: Encountered non-finite generator loss at iter 2778; skipping update. +2025-10-31 16:35:23,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:23,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:23,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:23,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:23,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=13.89, mean=-0.08988, std=2.951, absmax=13.89 +2025-10-31 16:35:23,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.469, max=10.21, mean=-0.07996, std=2.506, absmax=10.21 +2025-10-31 16:35:24,281 ERROR: Encountered non-finite generator loss at iter 2779; skipping update. +2025-10-31 16:35:24,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:24,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:24,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=13.13, mean=-0.1753, std=3.53, absmax=14.51 +2025-10-31 16:35:24,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.89, mean=-0.1586, std=2.994, absmax=10.89 +2025-10-31 16:35:24,781 ERROR: Encountered non-finite generator loss at iter 2780; skipping update. +2025-10-31 16:35:24,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:24,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:24,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:24,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:24,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.75, mean=-0.09506, std=2.954, absmax=11.91 +2025-10-31 16:35:24,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.139, max=9.659, mean=-0.1068, std=2.553, absmax=9.659 +2025-10-31 16:35:25,284 ERROR: Encountered non-finite generator loss at iter 2781; skipping update. +2025-10-31 16:35:25,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:25,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:25,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.89, mean=-0.2079, std=2.933, absmax=12.89 +2025-10-31 16:35:25,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.804, max=10.88, mean=-0.1934, std=2.498, absmax=10.88 +2025-10-31 16:35:25,786 ERROR: Encountered non-finite generator loss at iter 2782; skipping update. +2025-10-31 16:35:25,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:25,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:25,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:25,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:25,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.1, mean=-0.2121, std=2.624, absmax=13.1 +2025-10-31 16:35:25,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.478, max=8.904, mean=-0.2096, std=2.208, absmax=9.478 +2025-10-31 16:35:26,289 ERROR: Encountered non-finite generator loss at iter 2783; skipping update. +2025-10-31 16:35:26,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,292 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,294 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:26,295 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:26,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.12, mean=-0.2211, std=2.92, absmax=14.03 +2025-10-31 16:35:26,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.46, max=12.04, mean=-0.2203, std=2.423, absmax=13.46 +2025-10-31 16:35:26,791 ERROR: Encountered non-finite generator loss at iter 2784; skipping update. +2025-10-31 16:35:26,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:26,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:26,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:26,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:26,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.74, max=11.8, mean=-0.3632, std=2.94, absmax=15.74 +2025-10-31 16:35:26,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.68, max=8.604, mean=-0.3346, std=2.535, absmax=12.68 +2025-10-31 16:35:27,294 ERROR: Encountered non-finite generator loss at iter 2785; skipping update. +2025-10-31 16:35:27,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:27,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:27,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=11.3, mean=-0.1949, std=2.547, absmax=11.3 +2025-10-31 16:35:27,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.598, max=7.919, mean=-0.1753, std=2.127, absmax=8.598 +2025-10-31 16:35:27,795 ERROR: Encountered non-finite generator loss at iter 2786; skipping update. +2025-10-31 16:35:27,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:27,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:27,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:27,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:27,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=13.51, mean=0.1372, std=3.402, absmax=15.09 +2025-10-31 16:35:27,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.45, mean=0.07847, std=2.834, absmax=12.45 +2025-10-31 16:35:28,297 ERROR: Encountered non-finite generator loss at iter 2787; skipping update. +2025-10-31 16:35:28,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:28,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:28,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.53, mean=-0.02728, std=3.297, absmax=13.53 +2025-10-31 16:35:28,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.32, max=10.95, mean=-0.0168, std=3.054, absmax=14.32 +2025-10-31 16:35:28,798 ERROR: Encountered non-finite generator loss at iter 2788; skipping update. +2025-10-31 16:35:28,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:28,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:28,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:28,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:28,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.89, mean=-0.02897, std=3.031, absmax=12.31 +2025-10-31 16:35:28,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.923, max=9.37, mean=-0.06666, std=2.568, absmax=9.923 +2025-10-31 16:35:29,301 ERROR: Encountered non-finite generator loss at iter 2789; skipping update. +2025-10-31 16:35:29,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:29,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:29,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.26, mean=-0.2124, std=3.698, absmax=14.26 +2025-10-31 16:35:29,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=12.84, mean=-0.2082, std=3.144, absmax=12.84 +2025-10-31 16:35:29,803 ERROR: Encountered non-finite generator loss at iter 2790; skipping update. +2025-10-31 16:35:29,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:29,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:29,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:29,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:29,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.73, mean=0.02931, std=2.845, absmax=13.73 +2025-10-31 16:35:29,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=10.95, mean=-0.06376, std=2.263, absmax=11.46 +2025-10-31 16:35:30,304 ERROR: Encountered non-finite generator loss at iter 2791; skipping update. +2025-10-31 16:35:30,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:30,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:30,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.94, mean=0.1092, std=3.379, absmax=13.42 +2025-10-31 16:35:30,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.278, max=10.97, mean=0.07625, std=2.824, absmax=10.97 +2025-10-31 16:35:30,804 ERROR: Encountered non-finite generator loss at iter 2792; skipping update. +2025-10-31 16:35:30,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:30,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:30,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:30,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:30,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.37, mean=-0.1702, std=3.221, absmax=13.93 +2025-10-31 16:35:30,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.13, mean=-0.1707, std=2.646, absmax=10.13 +2025-10-31 16:35:31,305 ERROR: Encountered non-finite generator loss at iter 2793; skipping update. +2025-10-31 16:35:31,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:31,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:31,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.6, mean=0.1386, std=3.796, absmax=14.6 +2025-10-31 16:35:31,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=12.79, mean=0.1019, std=3.189, absmax=12.79 +2025-10-31 16:35:31,805 ERROR: Encountered non-finite generator loss at iter 2794; skipping update. +2025-10-31 16:35:31,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:31,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:31,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:31,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:31,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=17.17, mean=-0.04993, std=3.284, absmax=17.17 +2025-10-31 16:35:31,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.997, max=13.94, mean=-0.02382, std=2.682, absmax=13.94 +2025-10-31 16:35:32,305 ERROR: Encountered non-finite generator loss at iter 2795; skipping update. +2025-10-31 16:35:32,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:32,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:32,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.48, mean=-0.355, std=3.431, absmax=15.48 +2025-10-31 16:35:32,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.92, max=9.711, mean=-0.3236, std=2.848, absmax=12.92 +2025-10-31 16:35:32,806 ERROR: Encountered non-finite generator loss at iter 2796; skipping update. +2025-10-31 16:35:32,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:32,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:32,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:32,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:32,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.87, mean=-0.1194, std=2.685, absmax=13.54 +2025-10-31 16:35:32,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.314, max=8.03, mean=-0.1347, std=2.137, absmax=9.314 +2025-10-31 16:35:33,307 ERROR: Encountered non-finite generator loss at iter 2797; skipping update. +2025-10-31 16:35:33,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:33,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:33,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.87, mean=-0.2046, std=2.819, absmax=13.49 +2025-10-31 16:35:33,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.621, mean=-0.2345, std=2.326, absmax=10.16 +2025-10-31 16:35:33,808 ERROR: Encountered non-finite generator loss at iter 2798; skipping update. +2025-10-31 16:35:33,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:33,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:33,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:33,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:33,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=11.52, mean=-0.1205, std=2.204, absmax=11.52 +2025-10-31 16:35:33,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.218, max=8.177, mean=-0.1798, std=1.972, absmax=8.218 +2025-10-31 16:35:34,310 ERROR: Encountered non-finite generator loss at iter 2799; skipping update. +2025-10-31 16:35:34,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,314 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:34,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:34,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.71, mean=-0.212, std=2.788, absmax=12.97 +2025-10-31 16:35:34,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=9.154, mean=-0.1343, std=2.444, absmax=11.4 +2025-10-31 16:35:34,811 ERROR: Encountered non-finite generator loss at iter 2800; skipping update. +2025-10-31 16:35:34,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:34,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:34,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:34,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:34,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.21, max=13.4, mean=-0.1752, std=2.919, absmax=16.21 +2025-10-31 16:35:34,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.17, mean=-0.2235, std=2.342, absmax=10.28 +2025-10-31 16:35:34,823 INFO: [29..][epoch: 0, step: 2,800, lr:(1.500e-04,)] [eta: 1 day, 22:25:58, time (data): 0.502 (0.000)] +2025-10-31 16:35:35,313 ERROR: Encountered non-finite generator loss at iter 2801; skipping update. +2025-10-31 16:35:35,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:35,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:35,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11, mean=-0.2854, std=2.699, absmax=13.07 +2025-10-31 16:35:35,321 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.261, max=7.194, mean=-0.3105, std=2.249, absmax=9.261 +2025-10-31 16:35:35,813 ERROR: Encountered non-finite generator loss at iter 2802; skipping update. +2025-10-31 16:35:35,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:35,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:35,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:35,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:35,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13, mean=-0.06167, std=2.663, absmax=14.09 +2025-10-31 16:35:35,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.764, mean=-0.07452, std=2.22, absmax=10.13 +2025-10-31 16:35:36,313 ERROR: Encountered non-finite generator loss at iter 2803; skipping update. +2025-10-31 16:35:36,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:36,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:36,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.78, mean=-0.1719, std=3.197, absmax=14.78 +2025-10-31 16:35:36,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=11.05, mean=-0.1758, std=2.66, absmax=11.14 +2025-10-31 16:35:36,815 ERROR: Encountered non-finite generator loss at iter 2804; skipping update. +2025-10-31 16:35:36,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:36,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:36,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:36,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:36,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.6, mean=-0.1869, std=2.63, absmax=12.23 +2025-10-31 16:35:36,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=7.505, mean=-0.228, std=2.315, absmax=10 +2025-10-31 16:35:37,316 ERROR: Encountered non-finite generator loss at iter 2805; skipping update. +2025-10-31 16:35:37,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:37,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:37,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.04, mean=-0.241, std=2.87, absmax=15.04 +2025-10-31 16:35:37,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.89, mean=-0.235, std=2.389, absmax=10.89 +2025-10-31 16:35:37,817 ERROR: Encountered non-finite generator loss at iter 2806; skipping update. +2025-10-31 16:35:37,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:37,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:37,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:37,824 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:37,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=17.05, mean=-0.2083, std=2.968, absmax=17.05 +2025-10-31 16:35:37,826 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.49, mean=-0.1887, std=2.553, absmax=12.49 +2025-10-31 16:35:38,317 ERROR: Encountered non-finite generator loss at iter 2807; skipping update. +2025-10-31 16:35:38,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:38,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:38,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=13.89, mean=0.0217, std=3.196, absmax=13.89 +2025-10-31 16:35:38,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.87, mean=0.00624, std=2.583, absmax=10.87 +2025-10-31 16:35:38,818 ERROR: Encountered non-finite generator loss at iter 2808; skipping update. +2025-10-31 16:35:38,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:38,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:38,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:38,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:38,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=10.93, mean=-0.1521, std=3.072, absmax=13 +2025-10-31 16:35:38,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=9.132, mean=-0.1903, std=2.67, absmax=12.78 +2025-10-31 16:35:39,318 ERROR: Encountered non-finite generator loss at iter 2809; skipping update. +2025-10-31 16:35:39,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:39,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:39,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.19, mean=-0.2894, std=2.686, absmax=13.41 +2025-10-31 16:35:39,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.99, max=7.339, mean=-0.2907, std=2.228, absmax=9.99 +2025-10-31 16:35:39,818 ERROR: Encountered non-finite generator loss at iter 2810; skipping update. +2025-10-31 16:35:39,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:39,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:39,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:39,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:39,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=10.92, mean=-0.2157, std=3.017, absmax=13.53 +2025-10-31 16:35:39,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.374, mean=-0.2329, std=2.526, absmax=10.61 +2025-10-31 16:35:40,318 ERROR: Encountered non-finite generator loss at iter 2811; skipping update. +2025-10-31 16:35:40,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,321 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:40,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:40,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.53, mean=-0.2897, std=3.29, absmax=12.67 +2025-10-31 16:35:40,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=8.148, mean=-0.3275, std=2.751, absmax=11.31 +2025-10-31 16:35:40,820 ERROR: Encountered non-finite generator loss at iter 2812; skipping update. +2025-10-31 16:35:40,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:40,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:40,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:40,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:40,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.73, mean=-0.1355, std=3.011, absmax=14.73 +2025-10-31 16:35:40,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.49, mean=-0.1106, std=2.672, absmax=11.49 +2025-10-31 16:35:41,319 ERROR: Encountered non-finite generator loss at iter 2813; skipping update. +2025-10-31 16:35:41,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,321 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:41,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:41,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.88, max=17.62, mean=-0.0004066, std=2.956, absmax=17.88 +2025-10-31 16:35:41,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.354, max=11.83, mean=-0.02435, std=2.476, absmax=11.83 +2025-10-31 16:35:41,820 ERROR: Encountered non-finite generator loss at iter 2814; skipping update. +2025-10-31 16:35:41,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:41,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:41,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:41,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:41,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=13.84, mean=-0.1952, std=3.691, absmax=14.71 +2025-10-31 16:35:41,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.68, max=11.04, mean=-0.1956, std=3.075, absmax=12.68 +2025-10-31 16:35:42,320 ERROR: Encountered non-finite generator loss at iter 2815; skipping update. +2025-10-31 16:35:42,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:42,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:42,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.15, mean=-0.2194, std=3.705, absmax=14.15 +2025-10-31 16:35:42,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=10.34, mean=-0.1632, std=3.237, absmax=11.87 +2025-10-31 16:35:42,822 ERROR: Encountered non-finite generator loss at iter 2816; skipping update. +2025-10-31 16:35:42,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:42,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:42,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:42,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:42,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.01, mean=-0.2785, std=2.836, absmax=13.42 +2025-10-31 16:35:42,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=9.109, mean=-0.2987, std=2.296, absmax=9.109 +2025-10-31 16:35:43,323 ERROR: Encountered non-finite generator loss at iter 2817; skipping update. +2025-10-31 16:35:43,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:43,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:43,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.29, mean=-0.2147, std=2.971, absmax=12.59 +2025-10-31 16:35:43,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.762, mean=-0.2235, std=2.438, absmax=10.38 +2025-10-31 16:35:43,823 ERROR: Encountered non-finite generator loss at iter 2818; skipping update. +2025-10-31 16:35:43,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:43,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:43,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:43,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:43,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=13.14, mean=-0.2466, std=3.169, absmax=14.56 +2025-10-31 16:35:43,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=8.257, mean=-0.2969, std=2.606, absmax=11.55 +2025-10-31 16:35:44,323 ERROR: Encountered non-finite generator loss at iter 2819; skipping update. +2025-10-31 16:35:44,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:44,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:44,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=17.58, mean=0.05358, std=3.483, absmax=17.58 +2025-10-31 16:35:44,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=13.5, mean=0.04446, std=2.971, absmax=13.5 +2025-10-31 16:35:44,824 ERROR: Encountered non-finite generator loss at iter 2820; skipping update. +2025-10-31 16:35:44,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:44,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:44,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:44,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:44,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=17.13, mean=-0.293, std=2.955, absmax=17.13 +2025-10-31 16:35:44,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.47, mean=-0.2556, std=2.304, absmax=11.47 +2025-10-31 16:35:45,325 ERROR: Encountered non-finite generator loss at iter 2821; skipping update. +2025-10-31 16:35:45,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:45,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:45,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.37, mean=-0.2914, std=3.117, absmax=14.29 +2025-10-31 16:35:45,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=9.042, mean=-0.3159, std=2.771, absmax=12.05 +2025-10-31 16:35:45,827 ERROR: Encountered non-finite generator loss at iter 2822; skipping update. +2025-10-31 16:35:45,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:45,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:45,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:45,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:45,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.12, mean=-0.2594, std=2.587, absmax=12.12 +2025-10-31 16:35:45,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.473, max=8.512, mean=-0.2521, std=2.242, absmax=9.473 +2025-10-31 16:35:46,328 ERROR: Encountered non-finite generator loss at iter 2823; skipping update. +2025-10-31 16:35:46,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:46,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:46,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.28, mean=-0.1824, std=2.831, absmax=13 +2025-10-31 16:35:46,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.501, max=8.247, mean=-0.1873, std=2.229, absmax=9.501 +2025-10-31 16:35:46,831 ERROR: Encountered non-finite generator loss at iter 2824; skipping update. +2025-10-31 16:35:46,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,834 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:46,835 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:46,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:46,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:46,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.92, mean=-0.1824, std=3.006, absmax=13.92 +2025-10-31 16:35:46,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.148, mean=-0.1507, std=2.486, absmax=10.32 +2025-10-31 16:35:47,332 ERROR: Encountered non-finite generator loss at iter 2825; skipping update. +2025-10-31 16:35:47,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:47,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:47,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.96, mean=-0.2442, std=3.163, absmax=12.64 +2025-10-31 16:35:47,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=7.786, mean=-0.273, std=2.676, absmax=10.56 +2025-10-31 16:35:47,833 ERROR: Encountered non-finite generator loss at iter 2826; skipping update. +2025-10-31 16:35:47,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:47,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:47,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:47,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:47,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.53, mean=-0.3009, std=2.829, absmax=13.53 +2025-10-31 16:35:47,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.933, max=10.53, mean=-0.2738, std=2.426, absmax=10.53 +2025-10-31 16:35:48,333 ERROR: Encountered non-finite generator loss at iter 2827; skipping update. +2025-10-31 16:35:48,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,336 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:48,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:48,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.8, mean=-0.2899, std=3.114, absmax=12.41 +2025-10-31 16:35:48,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=8.5, mean=-0.2678, std=2.578, absmax=10.46 +2025-10-31 16:35:48,835 ERROR: Encountered non-finite generator loss at iter 2828; skipping update. +2025-10-31 16:35:48,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:48,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:48,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:48,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:48,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.9, mean=-0.2757, std=2.61, absmax=14.9 +2025-10-31 16:35:48,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=11.83, mean=-0.2106, std=2.254, absmax=11.83 +2025-10-31 16:35:49,336 ERROR: Encountered non-finite generator loss at iter 2829; skipping update. +2025-10-31 16:35:49,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:49,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:49,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.66, mean=-0.1351, std=3.039, absmax=12.46 +2025-10-31 16:35:49,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.989, max=10.43, mean=-0.1139, std=2.671, absmax=10.43 +2025-10-31 16:35:49,838 ERROR: Encountered non-finite generator loss at iter 2830; skipping update. +2025-10-31 16:35:49,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:49,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:49,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:49,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:49,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=15.82, mean=-0.2689, std=2.701, absmax=15.82 +2025-10-31 16:35:49,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.835, mean=-0.2555, std=2.244, absmax=10.3 +2025-10-31 16:35:50,339 ERROR: Encountered non-finite generator loss at iter 2831; skipping update. +2025-10-31 16:35:50,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:50,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:50,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.75, mean=-0.1652, std=2.827, absmax=12.79 +2025-10-31 16:35:50,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=8.16, mean=-0.2319, std=2.321, absmax=9.66 +2025-10-31 16:35:50,841 ERROR: Encountered non-finite generator loss at iter 2832; skipping update. +2025-10-31 16:35:50,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:50,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:50,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:50,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:50,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.48, mean=-0.2367, std=2.762, absmax=14.48 +2025-10-31 16:35:50,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.216, mean=-0.1902, std=2.402, absmax=10.23 +2025-10-31 16:35:51,340 ERROR: Encountered non-finite generator loss at iter 2833; skipping update. +2025-10-31 16:35:51,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:51,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:51,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.45, mean=-0.2139, std=2.733, absmax=11.81 +2025-10-31 16:35:51,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.191, max=8.635, mean=-0.2218, std=2.297, absmax=9.191 +2025-10-31 16:35:51,842 ERROR: Encountered non-finite generator loss at iter 2834; skipping update. +2025-10-31 16:35:51,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:51,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:51,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:51,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:51,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.48, mean=-0.02015, std=3.421, absmax=12.48 +2025-10-31 16:35:51,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.843, mean=-0.08552, std=2.763, absmax=11.38 +2025-10-31 16:35:52,343 ERROR: Encountered non-finite generator loss at iter 2835; skipping update. +2025-10-31 16:35:52,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:52,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:52,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.85, mean=-0.2878, std=3.439, absmax=13.18 +2025-10-31 16:35:52,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.178, mean=-0.2738, std=2.868, absmax=11.59 +2025-10-31 16:35:52,845 ERROR: Encountered non-finite generator loss at iter 2836; skipping update. +2025-10-31 16:35:52,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:52,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:52,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:52,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:52,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=10.36, mean=-0.2765, std=2.59, absmax=13.32 +2025-10-31 16:35:52,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.18, mean=-0.2923, std=2.231, absmax=10.31 +2025-10-31 16:35:53,346 ERROR: Encountered non-finite generator loss at iter 2837; skipping update. +2025-10-31 16:35:53,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:53,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:53,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.16, mean=-0.1516, std=2.869, absmax=15.16 +2025-10-31 16:35:53,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.675, max=12.91, mean=-0.1225, std=2.331, absmax=12.91 +2025-10-31 16:35:53,848 ERROR: Encountered non-finite generator loss at iter 2838; skipping update. +2025-10-31 16:35:53,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:53,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:53,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:53,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:53,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=10.62, mean=-0.2533, std=2.954, absmax=12.82 +2025-10-31 16:35:53,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.286, mean=-0.2421, std=2.612, absmax=10.65 +2025-10-31 16:35:54,350 ERROR: Encountered non-finite generator loss at iter 2839; skipping update. +2025-10-31 16:35:54,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:54,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:54,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.36, mean=-0.1387, std=3.166, absmax=12.98 +2025-10-31 16:35:54,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.325, mean=-0.1201, std=2.722, absmax=11.29 +2025-10-31 16:35:54,853 ERROR: Encountered non-finite generator loss at iter 2840; skipping update. +2025-10-31 16:35:54,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:54,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:54,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:54,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:54,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=14.17, mean=-0.02227, std=2.617, absmax=14.17 +2025-10-31 16:35:54,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.007, max=12.86, mean=-0.07283, std=2.364, absmax=12.86 +2025-10-31 16:35:55,356 ERROR: Encountered non-finite generator loss at iter 2841; skipping update. +2025-10-31 16:35:55,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:55,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:55,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.46, mean=-0.01714, std=2.718, absmax=11.46 +2025-10-31 16:35:55,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=11.95, mean=-0.02651, std=2.466, absmax=11.95 +2025-10-31 16:35:55,857 ERROR: Encountered non-finite generator loss at iter 2842; skipping update. +2025-10-31 16:35:55,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:55,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:55,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:55,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:55,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.25, mean=-0.2319, std=2.832, absmax=12.72 +2025-10-31 16:35:55,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.555, max=8.48, mean=-0.2144, std=2.393, absmax=9.555 +2025-10-31 16:35:56,358 ERROR: Encountered non-finite generator loss at iter 2843; skipping update. +2025-10-31 16:35:56,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:56,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:56,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.89, mean=-0.3205, std=2.501, absmax=11.89 +2025-10-31 16:35:56,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.34, max=7.896, mean=-0.316, std=2.176, absmax=9.34 +2025-10-31 16:35:56,862 ERROR: Encountered non-finite generator loss at iter 2844; skipping update. +2025-10-31 16:35:56,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:56,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:56,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:56,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:56,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.8, mean=-0.2006, std=3.168, absmax=13.79 +2025-10-31 16:35:56,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.31, max=9.485, mean=-0.242, std=2.754, absmax=12.31 +2025-10-31 16:35:57,364 ERROR: Encountered non-finite generator loss at iter 2845; skipping update. +2025-10-31 16:35:57,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:57,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:57,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.92, mean=-0.1412, std=2.96, absmax=14.92 +2025-10-31 16:35:57,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=12.41, mean=-0.1782, std=2.458, absmax=12.41 +2025-10-31 16:35:57,866 ERROR: Encountered non-finite generator loss at iter 2846; skipping update. +2025-10-31 16:35:57,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:57,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:57,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:57,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:57,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.71, mean=0.03116, std=3.342, absmax=15.71 +2025-10-31 16:35:57,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.993, max=14.23, mean=0.05089, std=2.955, absmax=14.23 +2025-10-31 16:35:58,369 ERROR: Encountered non-finite generator loss at iter 2847; skipping update. +2025-10-31 16:35:58,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:58,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:58,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.72, mean=0.1291, std=3.115, absmax=12.72 +2025-10-31 16:35:58,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=12.05, mean=0.1222, std=2.758, absmax=12.05 +2025-10-31 16:35:58,872 ERROR: Encountered non-finite generator loss at iter 2848; skipping update. +2025-10-31 16:35:58,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:58,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:58,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:58,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:58,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.59, mean=-0.2108, std=2.953, absmax=13.19 +2025-10-31 16:35:58,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.48, mean=-0.1758, std=2.382, absmax=11.48 +2025-10-31 16:35:59,374 ERROR: Encountered non-finite generator loss at iter 2849; skipping update. +2025-10-31 16:35:59,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:59,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:59,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.26, mean=-0.2145, std=2.525, absmax=12.26 +2025-10-31 16:35:59,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.193, max=11.06, mean=-0.1719, std=2.198, absmax=11.06 +2025-10-31 16:35:59,876 ERROR: Encountered non-finite generator loss at iter 2850; skipping update. +2025-10-31 16:35:59,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:35:59,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:35:59,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:35:59,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:35:59,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.59, mean=-0.2292, std=3.366, absmax=14.59 +2025-10-31 16:35:59,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=8.966, mean=-0.2306, std=2.837, absmax=12.09 +2025-10-31 16:36:00,380 ERROR: Encountered non-finite generator loss at iter 2851; skipping update. +2025-10-31 16:36:00,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:00,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:00,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.89, mean=-0.1106, std=2.839, absmax=14.89 +2025-10-31 16:36:00,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.16, mean=-0.102, std=2.499, absmax=11.16 +2025-10-31 16:36:00,884 ERROR: Encountered non-finite generator loss at iter 2852; skipping update. +2025-10-31 16:36:00,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,888 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:00,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:00,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:00,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:00,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.08, mean=0.1557, std=3.266, absmax=13.52 +2025-10-31 16:36:00,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.65, mean=0.09042, std=2.645, absmax=10.65 +2025-10-31 16:36:01,388 ERROR: Encountered non-finite generator loss at iter 2853; skipping update. +2025-10-31 16:36:01,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,392 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,394 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:01,397 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:01,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.56, mean=-0.1204, std=2.936, absmax=13.99 +2025-10-31 16:36:01,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=9.816, mean=-0.1425, std=2.588, absmax=11.24 +2025-10-31 16:36:01,892 ERROR: Encountered non-finite generator loss at iter 2854; skipping update. +2025-10-31 16:36:01,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:01,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:01,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:01,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:01,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.21, mean=-0.07528, std=2.607, absmax=13.29 +2025-10-31 16:36:01,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.455, mean=-0.1184, std=2.116, absmax=10.23 +2025-10-31 16:36:02,396 ERROR: Encountered non-finite generator loss at iter 2855; skipping update. +2025-10-31 16:36:02,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:02,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:02,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.26, mean=-0.02762, std=3.107, absmax=12.26 +2025-10-31 16:36:02,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.125, max=9.863, mean=-0.08724, std=2.41, absmax=9.863 +2025-10-31 16:36:02,898 ERROR: Encountered non-finite generator loss at iter 2856; skipping update. +2025-10-31 16:36:02,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:02,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:02,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:02,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:02,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=13.67, mean=-0.139, std=2.892, absmax=14.93 +2025-10-31 16:36:02,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.085, mean=-0.1491, std=2.393, absmax=10 +2025-10-31 16:36:03,402 ERROR: Encountered non-finite generator loss at iter 2857; skipping update. +2025-10-31 16:36:03,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:03,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:03,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.92, mean=-0.04946, std=3.564, absmax=15.1 +2025-10-31 16:36:03,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=11.72, mean=-0.06232, std=3.147, absmax=12.38 +2025-10-31 16:36:03,906 ERROR: Encountered non-finite generator loss at iter 2858; skipping update. +2025-10-31 16:36:03,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:03,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:03,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:03,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:03,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.47, mean=-0.1708, std=2.768, absmax=14.47 +2025-10-31 16:36:03,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=12.48, mean=-0.1438, std=2.429, absmax=12.48 +2025-10-31 16:36:04,410 ERROR: Encountered non-finite generator loss at iter 2859; skipping update. +2025-10-31 16:36:04,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:04,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:04,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.55, mean=0.02396, std=3.285, absmax=14.55 +2025-10-31 16:36:04,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.08, mean=-0.02627, std=2.59, absmax=11.08 +2025-10-31 16:36:04,915 ERROR: Encountered non-finite generator loss at iter 2860; skipping update. +2025-10-31 16:36:04,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,917 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:04,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:04,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:04,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:04,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.33, mean=-0.192, std=3.012, absmax=12.74 +2025-10-31 16:36:04,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=10.36, mean=-0.1779, std=2.545, absmax=10.36 +2025-10-31 16:36:05,418 ERROR: Encountered non-finite generator loss at iter 2861; skipping update. +2025-10-31 16:36:05,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:05,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:05,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=12.86, mean=-0.01783, std=3.14, absmax=12.86 +2025-10-31 16:36:05,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.945, max=11.09, mean=-0.0131, std=2.673, absmax=11.09 +2025-10-31 16:36:05,921 ERROR: Encountered non-finite generator loss at iter 2862; skipping update. +2025-10-31 16:36:05,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:05,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:05,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:05,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:05,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.39, mean=-0.2309, std=2.781, absmax=14.39 +2025-10-31 16:36:05,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.637, mean=-0.2641, std=2.442, absmax=10.04 +2025-10-31 16:36:06,423 ERROR: Encountered non-finite generator loss at iter 2863; skipping update. +2025-10-31 16:36:06,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,427 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:06,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:06,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.19, mean=-0.2527, std=2.943, absmax=12.19 +2025-10-31 16:36:06,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.214, mean=-0.2259, std=2.586, absmax=10.66 +2025-10-31 16:36:06,924 ERROR: Encountered non-finite generator loss at iter 2864; skipping update. +2025-10-31 16:36:06,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:06,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:06,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:06,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:06,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.47, mean=0.04703, std=3.552, absmax=13.47 +2025-10-31 16:36:06,932 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=11.79, mean=0.04303, std=2.966, absmax=11.79 +2025-10-31 16:36:07,425 ERROR: Encountered non-finite generator loss at iter 2865; skipping update. +2025-10-31 16:36:07,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:07,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:07,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.28, mean=-0.04645, std=3, absmax=13.24 +2025-10-31 16:36:07,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.083, max=10.56, mean=-0.04745, std=2.622, absmax=10.56 +2025-10-31 16:36:07,928 ERROR: Encountered non-finite generator loss at iter 2866; skipping update. +2025-10-31 16:36:07,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:07,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:07,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:07,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:07,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.59, mean=-0.1486, std=2.584, absmax=13.59 +2025-10-31 16:36:07,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.052, max=11.85, mean=-0.1441, std=2.149, absmax=11.85 +2025-10-31 16:36:08,432 ERROR: Encountered non-finite generator loss at iter 2867; skipping update. +2025-10-31 16:36:08,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:08,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:08,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.25, mean=-0.2191, std=2.907, absmax=14.25 +2025-10-31 16:36:08,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.5, mean=-0.2077, std=2.375, absmax=10.31 +2025-10-31 16:36:08,935 ERROR: Encountered non-finite generator loss at iter 2868; skipping update. +2025-10-31 16:36:08,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:08,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:08,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:08,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:08,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.7, mean=-0.2761, std=2.556, absmax=13.7 +2025-10-31 16:36:08,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.072, max=9.462, mean=-0.2277, std=2.16, absmax=9.462 +2025-10-31 16:36:09,439 ERROR: Encountered non-finite generator loss at iter 2869; skipping update. +2025-10-31 16:36:09,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:09,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:09,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.23, mean=-0.3003, std=2.539, absmax=11.89 +2025-10-31 16:36:09,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.881, max=7.824, mean=-0.2939, std=2.131, absmax=9.881 +2025-10-31 16:36:09,939 ERROR: Encountered non-finite generator loss at iter 2870; skipping update. +2025-10-31 16:36:09,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:09,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:09,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:09,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:09,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.45, mean=-0.1009, std=3.532, absmax=14.02 +2025-10-31 16:36:09,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.85, mean=-0.1658, std=2.883, absmax=10.85 +2025-10-31 16:36:10,438 ERROR: Encountered non-finite generator loss at iter 2871; skipping update. +2025-10-31 16:36:10,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:10,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:10,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.16, mean=0.2223, std=3.673, absmax=15.16 +2025-10-31 16:36:10,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=14.82, mean=0.1896, std=3.308, absmax=14.82 +2025-10-31 16:36:10,939 ERROR: Encountered non-finite generator loss at iter 2872; skipping update. +2025-10-31 16:36:10,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:10,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:10,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:10,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:10,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.52, mean=-0.0687, std=3.26, absmax=15.52 +2025-10-31 16:36:10,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.992, max=11.1, mean=-0.09279, std=2.777, absmax=11.1 +2025-10-31 16:36:11,441 ERROR: Encountered non-finite generator loss at iter 2873; skipping update. +2025-10-31 16:36:11,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,444 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:11,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:11,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.44, mean=-0.01136, std=2.753, absmax=13.57 +2025-10-31 16:36:11,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.596, max=9.416, mean=-0.05898, std=2.192, absmax=9.416 +2025-10-31 16:36:11,944 ERROR: Encountered non-finite generator loss at iter 2874; skipping update. +2025-10-31 16:36:11,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:11,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:11,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:11,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:11,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=11.41, mean=-0.2515, std=2.744, absmax=13.94 +2025-10-31 16:36:11,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=7.489, mean=-0.2394, std=2.163, absmax=10.5 +2025-10-31 16:36:12,446 ERROR: Encountered non-finite generator loss at iter 2875; skipping update. +2025-10-31 16:36:12,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:12,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:12,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=11.01, mean=-0.305, std=3.543, absmax=13.6 +2025-10-31 16:36:12,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.79, max=9.637, mean=-0.323, std=3.11, absmax=12.79 +2025-10-31 16:36:12,948 ERROR: Encountered non-finite generator loss at iter 2876; skipping update. +2025-10-31 16:36:12,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,952 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:12,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:12,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:12,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:12,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.68, mean=-0.1079, std=2.881, absmax=13.67 +2025-10-31 16:36:12,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=8.378, mean=-0.09581, std=2.41, absmax=11.26 +2025-10-31 16:36:13,449 ERROR: Encountered non-finite generator loss at iter 2877; skipping update. +2025-10-31 16:36:13,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:13,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:13,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.81, mean=-0.07208, std=3.168, absmax=13.81 +2025-10-31 16:36:13,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.81, mean=-0.08137, std=2.65, absmax=11.81 +2025-10-31 16:36:13,954 ERROR: Encountered non-finite generator loss at iter 2878; skipping update. +2025-10-31 16:36:13,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:13,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:13,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:13,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:13,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.08, mean=-0.1857, std=2.733, absmax=12.11 +2025-10-31 16:36:13,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.814, max=9.114, mean=-0.1967, std=2.323, absmax=9.814 +2025-10-31 16:36:14,456 ERROR: Encountered non-finite generator loss at iter 2879; skipping update. +2025-10-31 16:36:14,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:14,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:14,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.47, mean=-0.2576, std=3.142, absmax=12.47 +2025-10-31 16:36:14,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.462, mean=-0.2557, std=2.628, absmax=10.43 +2025-10-31 16:36:14,959 ERROR: Encountered non-finite generator loss at iter 2880; skipping update. +2025-10-31 16:36:14,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:14,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:14,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:14,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:14,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=16.91, mean=0.04498, std=3.922, absmax=16.91 +2025-10-31 16:36:14,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=12.07, mean=0.0416, std=3.293, absmax=12.07 +2025-10-31 16:36:15,464 ERROR: Encountered non-finite generator loss at iter 2881; skipping update. +2025-10-31 16:36:15,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,470 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:15,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:15,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.42, mean=-0.1882, std=3.554, absmax=12.85 +2025-10-31 16:36:15,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.86, mean=-0.2474, std=3.22, absmax=11.25 +2025-10-31 16:36:15,966 ERROR: Encountered non-finite generator loss at iter 2882; skipping update. +2025-10-31 16:36:15,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:15,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:15,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:15,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:15,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.21, mean=-0.3762, std=2.81, absmax=12.81 +2025-10-31 16:36:15,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.826, mean=-0.4135, std=2.382, absmax=10.24 +2025-10-31 16:36:16,469 ERROR: Encountered non-finite generator loss at iter 2883; skipping update. +2025-10-31 16:36:16,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:16,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:16,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=11.49, mean=-0.3541, std=3.106, absmax=14.69 +2025-10-31 16:36:16,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.01, max=10.06, mean=-0.35, std=2.702, absmax=13.01 +2025-10-31 16:36:16,971 ERROR: Encountered non-finite generator loss at iter 2884; skipping update. +2025-10-31 16:36:16,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:16,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:16,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:16,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:16,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=11.6, mean=-0.1705, std=2.744, absmax=15.76 +2025-10-31 16:36:16,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.283, mean=-0.1785, std=2.272, absmax=10.14 +2025-10-31 16:36:17,475 ERROR: Encountered non-finite generator loss at iter 2885; skipping update. +2025-10-31 16:36:17,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:17,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:17,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=11.25, mean=-0.2298, std=2.652, absmax=11.68 +2025-10-31 16:36:17,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.643, max=8.07, mean=-0.2121, std=2.292, absmax=8.643 +2025-10-31 16:36:17,979 ERROR: Encountered non-finite generator loss at iter 2886; skipping update. +2025-10-31 16:36:17,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:17,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:17,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:17,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:17,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.31, mean=-0.2032, std=2.843, absmax=13.31 +2025-10-31 16:36:17,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.152, max=9.232, mean=-0.1951, std=2.353, absmax=9.232 +2025-10-31 16:36:18,483 ERROR: Encountered non-finite generator loss at iter 2887; skipping update. +2025-10-31 16:36:18,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:18,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:18,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=11.62, mean=0.006337, std=3.143, absmax=15.1 +2025-10-31 16:36:18,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=10.14, mean=-0.001754, std=2.804, absmax=11.59 +2025-10-31 16:36:18,985 ERROR: Encountered non-finite generator loss at iter 2888; skipping update. +2025-10-31 16:36:18,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:18,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:18,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:18,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:18,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.53, mean=-0.1602, std=3.158, absmax=15.53 +2025-10-31 16:36:18,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.69, mean=-0.1411, std=2.586, absmax=11.27 +2025-10-31 16:36:19,485 ERROR: Encountered non-finite generator loss at iter 2889; skipping update. +2025-10-31 16:36:19,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:19,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:19,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.78, mean=-0.006357, std=3.36, absmax=12.78 +2025-10-31 16:36:19,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.671, max=10.68, mean=0.01248, std=2.775, absmax=10.68 +2025-10-31 16:36:19,989 ERROR: Encountered non-finite generator loss at iter 2890; skipping update. +2025-10-31 16:36:19,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:19,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:19,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:19,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:19,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.08, mean=-0.2364, std=2.944, absmax=13.08 +2025-10-31 16:36:19,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.538, max=8.981, mean=-0.2295, std=2.447, absmax=9.538 +2025-10-31 16:36:20,492 ERROR: Encountered non-finite generator loss at iter 2891; skipping update. +2025-10-31 16:36:20,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:20,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:20,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:20,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:20,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:20,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:20,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:20,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:20,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.74, mean=-0.1663, std=2.616, absmax=13.19 +2025-10-31 16:36:20,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.804, mean=-0.1543, std=2.306, absmax=10.9 +2025-10-31 16:36:20,995 ERROR: Encountered non-finite generator loss at iter 2892; skipping update. +2025-10-31 16:36:20,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:20,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:20,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:20,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:20,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:21,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:21,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:21,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:21,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.59, mean=-0.01317, std=3.658, absmax=14.59 +2025-10-31 16:36:21,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=13.08, mean=-0.03912, std=2.955, absmax=13.08 +2025-10-31 16:36:21,498 ERROR: Encountered non-finite generator loss at iter 2893; skipping update. +2025-10-31 16:36:21,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:21,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:21,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:21,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:21,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:21,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:21,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:21,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:21,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.52, mean=0.01283, std=3.176, absmax=12.52 +2025-10-31 16:36:21,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.385, max=12.06, mean=0.006332, std=2.725, absmax=12.06 +2025-10-31 16:36:21,999 ERROR: Encountered non-finite generator loss at iter 2894; skipping update. +2025-10-31 16:36:22,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:22,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:22,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.29, mean=-0.2129, std=3.268, absmax=14.29 +2025-10-31 16:36:22,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.662, max=10.59, mean=-0.1987, std=2.589, absmax=10.59 +2025-10-31 16:36:22,502 ERROR: Encountered non-finite generator loss at iter 2895; skipping update. +2025-10-31 16:36:22,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:22,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:22,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:22,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:22,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.4, mean=-0.3304, std=3.178, absmax=13.01 +2025-10-31 16:36:22,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=9.989, mean=-0.3421, std=2.755, absmax=11.45 +2025-10-31 16:36:23,006 ERROR: Encountered non-finite generator loss at iter 2896; skipping update. +2025-10-31 16:36:23,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:23,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:23,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.54, mean=0.004571, std=3.796, absmax=14.54 +2025-10-31 16:36:23,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=12.49, mean=-0.03215, std=3.166, absmax=12.49 +2025-10-31 16:36:23,511 ERROR: Encountered non-finite generator loss at iter 2897; skipping update. +2025-10-31 16:36:23,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,514 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,515 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,516 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,517 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:23,518 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:23,519 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:23,520 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:23,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.32, mean=-0.1497, std=3.392, absmax=14.32 +2025-10-31 16:36:23,522 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.52, mean=-0.1687, std=2.759, absmax=11.07 +2025-10-31 16:36:24,016 ERROR: Encountered non-finite generator loss at iter 2898; skipping update. +2025-10-31 16:36:24,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,021 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:24,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:24,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=10.34, mean=-0.1904, std=2.446, absmax=11.08 +2025-10-31 16:36:24,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.122, max=7.501, mean=-0.2063, std=2.056, absmax=9.122 +2025-10-31 16:36:24,519 ERROR: Encountered non-finite generator loss at iter 2899; skipping update. +2025-10-31 16:36:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:24,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:24,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:24,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:24,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.27, mean=-0.09542, std=2.748, absmax=12.27 +2025-10-31 16:36:24,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.248, max=9.079, mean=-0.08712, std=2.321, absmax=9.248 +2025-10-31 16:36:25,020 ERROR: Encountered non-finite generator loss at iter 2900; skipping update. +2025-10-31 16:36:25,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:25,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:25,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.16, mean=-0.1467, std=2.902, absmax=12.87 +2025-10-31 16:36:25,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.557, max=8.041, mean=-0.1875, std=2.368, absmax=9.557 +2025-10-31 16:36:25,027 INFO: [29..][epoch: 0, step: 2,900, lr:(1.500e-04,)] [eta: 1 day, 22:00:06, time (data): 0.502 (0.000)] +2025-10-31 16:36:25,522 ERROR: Encountered non-finite generator loss at iter 2901; skipping update. +2025-10-31 16:36:25,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:25,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:25,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:25,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:25,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.93, mean=-0.1433, std=2.988, absmax=12.32 +2025-10-31 16:36:25,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=9.363, mean=-0.1363, std=2.493, absmax=9.682 +2025-10-31 16:36:26,025 ERROR: Encountered non-finite generator loss at iter 2902; skipping update. +2025-10-31 16:36:26,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:26,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:26,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.13, mean=-0.1635, std=3.468, absmax=12.13 +2025-10-31 16:36:26,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.621, mean=-0.1787, std=2.916, absmax=10.67 +2025-10-31 16:36:26,527 ERROR: Encountered non-finite generator loss at iter 2903; skipping update. +2025-10-31 16:36:26,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:26,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:26,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:26,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:26,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.63, mean=0.1292, std=3.571, absmax=14.63 +2025-10-31 16:36:26,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=11.37, mean=0.08422, std=2.807, absmax=11.37 +2025-10-31 16:36:27,030 ERROR: Encountered non-finite generator loss at iter 2904; skipping update. +2025-10-31 16:36:27,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:27,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:27,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.56, mean=-0.064, std=2.95, absmax=13.56 +2025-10-31 16:36:27,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.806, max=10.23, mean=-0.1374, std=2.394, absmax=10.23 +2025-10-31 16:36:27,534 ERROR: Encountered non-finite generator loss at iter 2905; skipping update. +2025-10-31 16:36:27,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:27,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:27,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:27,541 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:27,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=10.83, mean=-0.1976, std=2.423, absmax=11.17 +2025-10-31 16:36:27,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.758, max=7.843, mean=-0.154, std=2.182, absmax=8.758 +2025-10-31 16:36:28,037 ERROR: Encountered non-finite generator loss at iter 2906; skipping update. +2025-10-31 16:36:28,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:28,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:28,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.92, mean=0.049, std=3.176, absmax=13.92 +2025-10-31 16:36:28,044 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.419, max=11.74, mean=0.01992, std=2.605, absmax=11.74 +2025-10-31 16:36:28,539 ERROR: Encountered non-finite generator loss at iter 2907; skipping update. +2025-10-31 16:36:28,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:28,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:28,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:28,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:28,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.32, mean=-0.1306, std=3.062, absmax=13.07 +2025-10-31 16:36:28,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.475, max=9.135, mean=-0.1343, std=2.403, absmax=9.475 +2025-10-31 16:36:29,043 ERROR: Encountered non-finite generator loss at iter 2908; skipping update. +2025-10-31 16:36:29,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:29,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:29,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.17, mean=-0.1835, std=2.847, absmax=13.82 +2025-10-31 16:36:29,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=9.541, mean=-0.1659, std=2.419, absmax=9.827 +2025-10-31 16:36:29,545 ERROR: Encountered non-finite generator loss at iter 2909; skipping update. +2025-10-31 16:36:29,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:29,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:29,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:29,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:29,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=15.12, mean=-0.02669, std=3.606, absmax=15.12 +2025-10-31 16:36:29,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.754, max=12, mean=-0.01075, std=2.996, absmax=12 +2025-10-31 16:36:30,048 ERROR: Encountered non-finite generator loss at iter 2910; skipping update. +2025-10-31 16:36:30,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:30,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:30,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=14.31, mean=-0.2408, std=2.771, absmax=14.31 +2025-10-31 16:36:30,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.942, max=8.226, mean=-0.2406, std=2.284, absmax=8.942 +2025-10-31 16:36:30,552 ERROR: Encountered non-finite generator loss at iter 2911; skipping update. +2025-10-31 16:36:30,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,554 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,555 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:30,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:30,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:30,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:30,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.86, mean=-0.2054, std=2.931, absmax=12.87 +2025-10-31 16:36:30,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.952, max=9.774, mean=-0.1887, std=2.493, absmax=9.952 +2025-10-31 16:36:31,055 ERROR: Encountered non-finite generator loss at iter 2912; skipping update. +2025-10-31 16:36:31,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:31,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:31,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=10.85, mean=-0.2172, std=2.496, absmax=11.26 +2025-10-31 16:36:31,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=9.482, mean=-0.2659, std=2.274, absmax=9.482 +2025-10-31 16:36:31,557 ERROR: Encountered non-finite generator loss at iter 2913; skipping update. +2025-10-31 16:36:31,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:31,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:31,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:31,564 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:31,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.43, mean=-0.004355, std=3.239, absmax=14.43 +2025-10-31 16:36:31,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.908, mean=-0.01458, std=2.817, absmax=10.88 +2025-10-31 16:36:32,060 ERROR: Encountered non-finite generator loss at iter 2914; skipping update. +2025-10-31 16:36:32,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:32,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:32,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=10.16, mean=-0.1579, std=2.861, absmax=12.07 +2025-10-31 16:36:32,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.768, mean=-0.1589, std=2.474, absmax=10.49 +2025-10-31 16:36:32,563 ERROR: Encountered non-finite generator loss at iter 2915; skipping update. +2025-10-31 16:36:32,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:32,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:32,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:32,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:32,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.78, mean=-0.2258, std=3.487, absmax=14.78 +2025-10-31 16:36:32,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=10.77, mean=-0.1962, std=3.051, absmax=11.01 +2025-10-31 16:36:33,066 ERROR: Encountered non-finite generator loss at iter 2916; skipping update. +2025-10-31 16:36:33,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,071 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:33,073 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:33,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.5, mean=-0.08192, std=3.093, absmax=13.7 +2025-10-31 16:36:33,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=12, mean=-0.1079, std=2.681, absmax=12 +2025-10-31 16:36:33,568 ERROR: Encountered non-finite generator loss at iter 2917; skipping update. +2025-10-31 16:36:33,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:33,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:33,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:33,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:33,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=10.45, mean=-0.3059, std=2.857, absmax=11.77 +2025-10-31 16:36:33,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=8.044, mean=-0.2801, std=2.441, absmax=9.911 +2025-10-31 16:36:34,071 ERROR: Encountered non-finite generator loss at iter 2918; skipping update. +2025-10-31 16:36:34,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:34,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:34,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=18.14, mean=-0.2349, std=2.98, absmax=18.14 +2025-10-31 16:36:34,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=15.82, mean=-0.2266, std=2.684, absmax=15.82 +2025-10-31 16:36:34,573 ERROR: Encountered non-finite generator loss at iter 2919; skipping update. +2025-10-31 16:36:34,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:34,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:34,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:34,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:34,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=14.89, mean=-0.08506, std=2.909, absmax=14.89 +2025-10-31 16:36:34,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=13.55, mean=-0.1696, std=2.511, absmax=13.55 +2025-10-31 16:36:35,077 ERROR: Encountered non-finite generator loss at iter 2920; skipping update. +2025-10-31 16:36:35,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:35,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:35,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.03, mean=-0.1652, std=2.828, absmax=14.03 +2025-10-31 16:36:35,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.603, mean=-0.1579, std=2.348, absmax=10.37 +2025-10-31 16:36:35,578 ERROR: Encountered non-finite generator loss at iter 2921; skipping update. +2025-10-31 16:36:35,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:35,585 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:35,586 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:35,587 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:35,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.32, mean=-0.1181, std=2.774, absmax=12.32 +2025-10-31 16:36:35,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.995, mean=-0.1382, std=2.444, absmax=10.59 +2025-10-31 16:36:36,083 ERROR: Encountered non-finite generator loss at iter 2922; skipping update. +2025-10-31 16:36:36,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:36,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:36,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.47, mean=-0.1744, std=3.246, absmax=14.74 +2025-10-31 16:36:36,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.23, max=10.63, mean=-0.1587, std=2.591, absmax=14.23 +2025-10-31 16:36:36,585 ERROR: Encountered non-finite generator loss at iter 2923; skipping update. +2025-10-31 16:36:36,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:36,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:36,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:36,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:36,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=14.93, mean=-0.03179, std=2.991, absmax=14.93 +2025-10-31 16:36:36,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.09, mean=-0.1083, std=2.527, absmax=10.32 +2025-10-31 16:36:37,087 ERROR: Encountered non-finite generator loss at iter 2924; skipping update. +2025-10-31 16:36:37,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:37,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:37,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.43, mean=-0.05965, std=2.867, absmax=14.43 +2025-10-31 16:36:37,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.801, mean=-0.09596, std=2.267, absmax=10.14 +2025-10-31 16:36:37,591 ERROR: Encountered non-finite generator loss at iter 2925; skipping update. +2025-10-31 16:36:37,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:37,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:37,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:37,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:37,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.29, mean=-0.2394, std=2.709, absmax=11.5 +2025-10-31 16:36:37,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.985, max=7.354, mean=-0.1985, std=2.282, absmax=9.985 +2025-10-31 16:36:38,094 ERROR: Encountered non-finite generator loss at iter 2926; skipping update. +2025-10-31 16:36:38,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:38,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:38,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=12.73, mean=-0.1652, std=2.995, absmax=15.88 +2025-10-31 16:36:38,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.236, max=9.157, mean=-0.1516, std=2.444, absmax=9.236 +2025-10-31 16:36:38,598 ERROR: Encountered non-finite generator loss at iter 2927; skipping update. +2025-10-31 16:36:38,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:38,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:38,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:38,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:38,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.54, mean=-0.237, std=2.909, absmax=13.54 +2025-10-31 16:36:38,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.532, max=9.114, mean=-0.2305, std=2.3, absmax=9.532 +2025-10-31 16:36:39,099 ERROR: Encountered non-finite generator loss at iter 2928; skipping update. +2025-10-31 16:36:39,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:39,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:39,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.08, mean=-0.2656, std=2.956, absmax=14.11 +2025-10-31 16:36:39,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=8.619, mean=-0.3041, std=2.418, absmax=12.05 +2025-10-31 16:36:39,602 ERROR: Encountered non-finite generator loss at iter 2929; skipping update. +2025-10-31 16:36:39,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:39,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:39,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:39,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:39,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.9, mean=-0.091, std=3.275, absmax=14.9 +2025-10-31 16:36:39,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.37, max=11.94, mean=-0.04958, std=2.811, absmax=11.94 +2025-10-31 16:36:40,108 ERROR: Encountered non-finite generator loss at iter 2930; skipping update. +2025-10-31 16:36:40,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:40,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:40,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.64, mean=-0.2424, std=2.779, absmax=12.64 +2025-10-31 16:36:40,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.113, max=8.378, mean=-0.213, std=2.25, absmax=9.113 +2025-10-31 16:36:40,609 ERROR: Encountered non-finite generator loss at iter 2931; skipping update. +2025-10-31 16:36:40,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:40,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:40,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:40,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:40,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=12.7, mean=-0.1874, std=3.029, absmax=14.89 +2025-10-31 16:36:40,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.03, max=8.895, mean=-0.1862, std=2.552, absmax=12.03 +2025-10-31 16:36:41,110 ERROR: Encountered non-finite generator loss at iter 2932; skipping update. +2025-10-31 16:36:41,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:41,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:41,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.38, mean=-0.1284, std=3.294, absmax=14.31 +2025-10-31 16:36:41,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=9.235, mean=-0.1571, std=2.63, absmax=12.17 +2025-10-31 16:36:41,609 ERROR: Encountered non-finite generator loss at iter 2933; skipping update. +2025-10-31 16:36:41,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:41,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:41,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:41,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:41,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13, mean=-0.2901, std=3.155, absmax=14.25 +2025-10-31 16:36:41,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.582, mean=-0.2736, std=2.508, absmax=10.56 +2025-10-31 16:36:42,109 ERROR: Encountered non-finite generator loss at iter 2934; skipping update. +2025-10-31 16:36:42,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:42,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:42,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.03, mean=-0.3267, std=2.723, absmax=14.03 +2025-10-31 16:36:42,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=8.447, mean=-0.3001, std=2.377, absmax=11 +2025-10-31 16:36:42,612 ERROR: Encountered non-finite generator loss at iter 2935; skipping update. +2025-10-31 16:36:42,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:42,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:42,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:42,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:42,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.25, mean=-0.0998, std=3.059, absmax=14.23 +2025-10-31 16:36:42,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.732, max=10.15, mean=-0.1347, std=2.719, absmax=10.15 +2025-10-31 16:36:43,111 ERROR: Encountered non-finite generator loss at iter 2936; skipping update. +2025-10-31 16:36:43,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:43,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:43,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.13, mean=0.111, std=3.304, absmax=15.13 +2025-10-31 16:36:43,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.585, max=13.54, mean=0.09279, std=2.757, absmax=13.54 +2025-10-31 16:36:43,611 ERROR: Encountered non-finite generator loss at iter 2937; skipping update. +2025-10-31 16:36:43,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:43,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:43,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:43,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:43,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=14.33, mean=-0.05952, std=3.238, absmax=14.33 +2025-10-31 16:36:43,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=12.28, mean=-0.06592, std=2.885, absmax=12.28 +2025-10-31 16:36:44,113 ERROR: Encountered non-finite generator loss at iter 2938; skipping update. +2025-10-31 16:36:44,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:44,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:44,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.75, mean=-0.2727, std=2.697, absmax=11.91 +2025-10-31 16:36:44,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.247, mean=-0.2413, std=2.315, absmax=10.35 +2025-10-31 16:36:44,617 ERROR: Encountered non-finite generator loss at iter 2939; skipping update. +2025-10-31 16:36:44,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:44,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:44,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:44,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:44,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.89, max=11.78, mean=-0.1409, std=2.914, absmax=15.89 +2025-10-31 16:36:44,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=8.693, mean=-0.1575, std=2.577, absmax=12.14 +2025-10-31 16:36:45,118 ERROR: Encountered non-finite generator loss at iter 2940; skipping update. +2025-10-31 16:36:45,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:45,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:45,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13, mean=-0.2537, std=2.947, absmax=13.74 +2025-10-31 16:36:45,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.697, max=8.874, mean=-0.2794, std=2.577, absmax=9.697 +2025-10-31 16:36:45,619 ERROR: Encountered non-finite generator loss at iter 2941; skipping update. +2025-10-31 16:36:45,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:45,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:45,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:45,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:45,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=16.71, mean=-0.0137, std=3.407, absmax=16.71 +2025-10-31 16:36:45,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=14.23, mean=0.0345, std=3.029, absmax=14.23 +2025-10-31 16:36:46,120 ERROR: Encountered non-finite generator loss at iter 2942; skipping update. +2025-10-31 16:36:46,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:46,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:46,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.1, mean=-0.1422, std=3.155, absmax=15.1 +2025-10-31 16:36:46,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.735, max=12.45, mean=-0.1387, std=2.534, absmax=12.45 +2025-10-31 16:36:46,622 ERROR: Encountered non-finite generator loss at iter 2943; skipping update. +2025-10-31 16:36:46,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:46,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:46,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:46,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:46,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.38, mean=-0.1434, std=2.562, absmax=11.71 +2025-10-31 16:36:46,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.724, max=9.332, mean=-0.1512, std=2.229, absmax=9.332 +2025-10-31 16:36:47,124 ERROR: Encountered non-finite generator loss at iter 2944; skipping update. +2025-10-31 16:36:47,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:47,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:47,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.38, mean=-0.3789, std=2.75, absmax=13.16 +2025-10-31 16:36:47,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=6.881, mean=-0.3322, std=2.326, absmax=10.79 +2025-10-31 16:36:47,625 ERROR: Encountered non-finite generator loss at iter 2945; skipping update. +2025-10-31 16:36:47,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:47,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:47,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:47,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:47,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.25, mean=-0.3814, std=3.109, absmax=13.91 +2025-10-31 16:36:47,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=8.349, mean=-0.3256, std=2.55, absmax=10.28 +2025-10-31 16:36:48,126 ERROR: Encountered non-finite generator loss at iter 2946; skipping update. +2025-10-31 16:36:48,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:48,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:48,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=16.45, mean=-0.1441, std=3.082, absmax=16.45 +2025-10-31 16:36:48,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.774, max=13.52, mean=-0.1884, std=2.565, absmax=13.52 +2025-10-31 16:36:48,629 ERROR: Encountered non-finite generator loss at iter 2947; skipping update. +2025-10-31 16:36:48,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:48,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:48,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:48,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:48,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.9, mean=-0.34, std=2.889, absmax=13.03 +2025-10-31 16:36:48,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.037, mean=-0.3038, std=2.506, absmax=11.12 +2025-10-31 16:36:49,132 ERROR: Encountered non-finite generator loss at iter 2948; skipping update. +2025-10-31 16:36:49,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:49,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:49,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.51, mean=-0.2906, std=3.221, absmax=13.51 +2025-10-31 16:36:49,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.682, mean=-0.2553, std=2.614, absmax=10.44 +2025-10-31 16:36:49,637 ERROR: Encountered non-finite generator loss at iter 2949; skipping update. +2025-10-31 16:36:49,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:49,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:49,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:49,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:49,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.12, mean=0.08515, std=3.18, absmax=14.12 +2025-10-31 16:36:49,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=12.66, mean=0.09075, std=2.775, absmax=12.66 +2025-10-31 16:36:50,140 ERROR: Encountered non-finite generator loss at iter 2950; skipping update. +2025-10-31 16:36:50,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,147 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:50,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:50,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=12.17, mean=-0.3432, std=3.555, absmax=15.09 +2025-10-31 16:36:50,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=9.273, mean=-0.3526, std=3.038, absmax=12.35 +2025-10-31 16:36:50,644 ERROR: Encountered non-finite generator loss at iter 2951; skipping update. +2025-10-31 16:36:50,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:50,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:50,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:50,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:50,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=12.73, mean=-0.2493, std=3.988, absmax=14.47 +2025-10-31 16:36:50,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.52, max=11.31, mean=-0.2006, std=3.306, absmax=12.52 +2025-10-31 16:36:51,148 ERROR: Encountered non-finite generator loss at iter 2952; skipping update. +2025-10-31 16:36:51,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:51,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:51,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.55, mean=-0.1856, std=2.735, absmax=15.55 +2025-10-31 16:36:51,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.084, max=11.38, mean=-0.2053, std=2.235, absmax=11.38 +2025-10-31 16:36:51,651 ERROR: Encountered non-finite generator loss at iter 2953; skipping update. +2025-10-31 16:36:51,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:51,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:51,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:51,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:51,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.24, mean=-0.1166, std=2.927, absmax=13.24 +2025-10-31 16:36:51,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.243, mean=-0.1093, std=2.504, absmax=10.67 +2025-10-31 16:36:52,154 ERROR: Encountered non-finite generator loss at iter 2954; skipping update. +2025-10-31 16:36:52,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:52,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:52,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=15.7, mean=-0.06196, std=2.927, absmax=15.7 +2025-10-31 16:36:52,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.536, max=11.71, mean=-0.06647, std=2.527, absmax=11.71 +2025-10-31 16:36:52,660 ERROR: Encountered non-finite generator loss at iter 2955; skipping update. +2025-10-31 16:36:52,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:52,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:52,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:52,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:52,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.38, mean=-0.3944, std=2.629, absmax=12.75 +2025-10-31 16:36:52,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.336, mean=-0.3968, std=2.338, absmax=10.08 +2025-10-31 16:36:53,162 ERROR: Encountered non-finite generator loss at iter 2956; skipping update. +2025-10-31 16:36:53,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:53,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:53,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=15.67, mean=-0.3084, std=3.539, absmax=15.67 +2025-10-31 16:36:53,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=13.51, mean=-0.2931, std=3.181, absmax=13.51 +2025-10-31 16:36:53,665 ERROR: Encountered non-finite generator loss at iter 2957; skipping update. +2025-10-31 16:36:53,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:53,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:53,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:53,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:53,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.55, mean=0.005644, std=3.614, absmax=14.55 +2025-10-31 16:36:53,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=9.729, mean=-0.06447, std=2.872, absmax=11.7 +2025-10-31 16:36:54,167 ERROR: Encountered non-finite generator loss at iter 2958; skipping update. +2025-10-31 16:36:54,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:54,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:54,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.01, mean=-0.1978, std=2.957, absmax=12.72 +2025-10-31 16:36:54,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=8.453, mean=-0.2095, std=2.478, absmax=12.21 +2025-10-31 16:36:54,671 ERROR: Encountered non-finite generator loss at iter 2959; skipping update. +2025-10-31 16:36:54,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:54,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:54,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:54,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:54,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.87, mean=-0.3805, std=3.426, absmax=13.11 +2025-10-31 16:36:54,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.48, mean=-0.3147, std=2.768, absmax=10.91 +2025-10-31 16:36:55,174 ERROR: Encountered non-finite generator loss at iter 2960; skipping update. +2025-10-31 16:36:55,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:55,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:55,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.08, mean=-0.2819, std=2.894, absmax=12.18 +2025-10-31 16:36:55,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.428, max=7.935, mean=-0.2965, std=2.393, absmax=9.428 +2025-10-31 16:36:55,678 ERROR: Encountered non-finite generator loss at iter 2961; skipping update. +2025-10-31 16:36:55,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:55,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:55,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:55,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:55,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=10.4, mean=-0.1264, std=2.676, absmax=13.37 +2025-10-31 16:36:55,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=9.562, mean=-0.1461, std=2.39, absmax=11.76 +2025-10-31 16:36:56,181 ERROR: Encountered non-finite generator loss at iter 2962; skipping update. +2025-10-31 16:36:56,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:56,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:56,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.5, mean=-0.1259, std=3.113, absmax=14.5 +2025-10-31 16:36:56,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.028, max=11.94, mean=-0.1697, std=2.649, absmax=11.94 +2025-10-31 16:36:56,684 ERROR: Encountered non-finite generator loss at iter 2963; skipping update. +2025-10-31 16:36:56,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:56,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:56,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:56,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:56,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=16.11, mean=-0.03068, std=3.097, absmax=16.11 +2025-10-31 16:36:56,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.733, max=9.765, mean=-0.07397, std=2.58, absmax=9.765 +2025-10-31 16:36:57,185 ERROR: Encountered non-finite generator loss at iter 2964; skipping update. +2025-10-31 16:36:57,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:57,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:57,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=13.97, mean=-0.2899, std=2.8, absmax=15.75 +2025-10-31 16:36:57,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.64, max=8.56, mean=-0.2747, std=2.436, absmax=13.64 +2025-10-31 16:36:57,689 ERROR: Encountered non-finite generator loss at iter 2965; skipping update. +2025-10-31 16:36:57,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:57,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:57,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:57,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:57,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.24, mean=-0.06524, std=3.213, absmax=14.24 +2025-10-31 16:36:57,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.652, max=11.38, mean=-0.08876, std=2.91, absmax=11.38 +2025-10-31 16:36:58,194 ERROR: Encountered non-finite generator loss at iter 2966; skipping update. +2025-10-31 16:36:58,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,197 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,198 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,199 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:58,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:58,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.79, mean=-0.3083, std=2.841, absmax=12.43 +2025-10-31 16:36:58,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=10.96, mean=-0.2525, std=2.411, absmax=10.96 +2025-10-31 16:36:58,700 ERROR: Encountered non-finite generator loss at iter 2967; skipping update. +2025-10-31 16:36:58,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:58,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:58,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:58,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:58,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.21, mean=-0.1238, std=3.125, absmax=14.21 +2025-10-31 16:36:58,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.432, mean=-0.1782, std=2.544, absmax=10.22 +2025-10-31 16:36:59,202 ERROR: Encountered non-finite generator loss at iter 2968; skipping update. +2025-10-31 16:36:59,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:59,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:59,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.15, mean=-0.3135, std=2.88, absmax=14.15 +2025-10-31 16:36:59,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=8.826, mean=-0.298, std=2.536, absmax=10.76 +2025-10-31 16:36:59,707 ERROR: Encountered non-finite generator loss at iter 2969; skipping update. +2025-10-31 16:36:59,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:36:59,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:36:59,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:36:59,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:36:59,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.91, mean=-0.213, std=2.53, absmax=11.91 +2025-10-31 16:36:59,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.71, mean=-0.2156, std=2.207, absmax=10.18 +2025-10-31 16:37:00,208 ERROR: Encountered non-finite generator loss at iter 2970; skipping update. +2025-10-31 16:37:00,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:00,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:00,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=14.13, mean=-0.2428, std=2.576, absmax=14.13 +2025-10-31 16:37:00,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.185, max=7.931, mean=-0.2637, std=2.156, absmax=9.185 +2025-10-31 16:37:00,713 ERROR: Encountered non-finite generator loss at iter 2971; skipping update. +2025-10-31 16:37:00,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:00,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:00,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:00,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:00,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.58, mean=-0.1439, std=2.869, absmax=13.15 +2025-10-31 16:37:00,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.58, mean=-0.1193, std=2.456, absmax=10.85 +2025-10-31 16:37:01,214 ERROR: Encountered non-finite generator loss at iter 2972; skipping update. +2025-10-31 16:37:01,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:01,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:01,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=16.14, mean=0.1171, std=3.545, absmax=16.14 +2025-10-31 16:37:01,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.79, max=14.94, mean=0.0711, std=3.225, absmax=14.94 +2025-10-31 16:37:01,717 ERROR: Encountered non-finite generator loss at iter 2973; skipping update. +2025-10-31 16:37:01,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:01,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:01,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:01,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:01,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.98, mean=-0.0365, std=2.793, absmax=13.98 +2025-10-31 16:37:01,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.826, mean=-0.06034, std=2.451, absmax=10.29 +2025-10-31 16:37:02,221 ERROR: Encountered non-finite generator loss at iter 2974; skipping update. +2025-10-31 16:37:02,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:02,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:02,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=10.43, mean=-0.2626, std=2.851, absmax=12.64 +2025-10-31 16:37:02,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.834, max=8.626, mean=-0.2583, std=2.455, absmax=9.834 +2025-10-31 16:37:02,725 ERROR: Encountered non-finite generator loss at iter 2975; skipping update. +2025-10-31 16:37:02,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:02,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:02,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:02,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:02,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=13.86, mean=-0.1824, std=2.538, absmax=13.86 +2025-10-31 16:37:02,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.864, max=10.03, mean=-0.182, std=2.027, absmax=10.03 +2025-10-31 16:37:03,229 ERROR: Encountered non-finite generator loss at iter 2976; skipping update. +2025-10-31 16:37:03,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:03,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:03,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.38, mean=-0.2617, std=3.251, absmax=13.11 +2025-10-31 16:37:03,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=9.684, mean=-0.2453, std=2.824, absmax=11.43 +2025-10-31 16:37:03,734 ERROR: Encountered non-finite generator loss at iter 2977; skipping update. +2025-10-31 16:37:03,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:03,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:03,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:03,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:03,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.04, mean=-0.158, std=2.657, absmax=14.04 +2025-10-31 16:37:03,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.501, max=8.777, mean=-0.1144, std=2.136, absmax=8.777 +2025-10-31 16:37:04,237 ERROR: Encountered non-finite generator loss at iter 2978; skipping update. +2025-10-31 16:37:04,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:04,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:04,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=11.93, mean=-0.2595, std=2.468, absmax=11.93 +2025-10-31 16:37:04,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=9.368, mean=-0.222, std=2.173, absmax=9.368 +2025-10-31 16:37:04,741 ERROR: Encountered non-finite generator loss at iter 2979; skipping update. +2025-10-31 16:37:04,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:04,745 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:04,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:04,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:04,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=13.49, mean=-0.2877, std=2.948, absmax=15.16 +2025-10-31 16:37:04,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=8.884, mean=-0.2268, std=2.466, absmax=10.41 +2025-10-31 16:37:05,243 ERROR: Encountered non-finite generator loss at iter 2980; skipping update. +2025-10-31 16:37:05,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:05,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:05,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.29, mean=-0.2324, std=2.783, absmax=14.29 +2025-10-31 16:37:05,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=9.124, mean=-0.2396, std=2.185, absmax=9.508 +2025-10-31 16:37:05,746 ERROR: Encountered non-finite generator loss at iter 2981; skipping update. +2025-10-31 16:37:05,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:05,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:05,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:05,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:05,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.74, mean=-0.2826, std=2.942, absmax=13.74 +2025-10-31 16:37:05,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.738, max=10.34, mean=-0.2385, std=2.431, absmax=10.34 +2025-10-31 16:37:06,249 ERROR: Encountered non-finite generator loss at iter 2982; skipping update. +2025-10-31 16:37:06,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:06,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:06,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.68, max=13.73, mean=-0.3131, std=3.388, absmax=16.68 +2025-10-31 16:37:06,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=8.833, mean=-0.2599, std=2.949, absmax=12.28 +2025-10-31 16:37:06,753 ERROR: Encountered non-finite generator loss at iter 2983; skipping update. +2025-10-31 16:37:06,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:06,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:06,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:06,759 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:06,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=14.33, mean=-0.06426, std=2.771, absmax=14.33 +2025-10-31 16:37:06,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.738, max=9.716, mean=-0.06762, std=2.241, absmax=9.716 +2025-10-31 16:37:07,254 ERROR: Encountered non-finite generator loss at iter 2984; skipping update. +2025-10-31 16:37:07,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:07,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:07,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=10.77, mean=-0.3076, std=2.776, absmax=13 +2025-10-31 16:37:07,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.463, mean=-0.2753, std=2.474, absmax=10.33 +2025-10-31 16:37:07,757 ERROR: Encountered non-finite generator loss at iter 2985; skipping update. +2025-10-31 16:37:07,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:07,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:07,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:07,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:07,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.31, mean=-0.2882, std=2.828, absmax=13.31 +2025-10-31 16:37:07,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=8.807, mean=-0.3117, std=2.299, absmax=9.701 +2025-10-31 16:37:08,260 ERROR: Encountered non-finite generator loss at iter 2986; skipping update. +2025-10-31 16:37:08,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:08,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:08,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=11.83, mean=-0.2268, std=3.591, absmax=14.34 +2025-10-31 16:37:08,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.343, mean=-0.2137, std=2.863, absmax=11.28 +2025-10-31 16:37:08,764 ERROR: Encountered non-finite generator loss at iter 2987; skipping update. +2025-10-31 16:37:08,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:08,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:08,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:08,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:08,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.23, mean=-0.2784, std=2.998, absmax=12.12 +2025-10-31 16:37:08,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.933, mean=-0.287, std=2.401, absmax=10.7 +2025-10-31 16:37:09,265 ERROR: Encountered non-finite generator loss at iter 2988; skipping update. +2025-10-31 16:37:09,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:09,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:09,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=17.56, mean=-0.04852, std=3.341, absmax=17.56 +2025-10-31 16:37:09,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=12.32, mean=-0.07933, std=2.785, absmax=12.32 +2025-10-31 16:37:09,769 ERROR: Encountered non-finite generator loss at iter 2989; skipping update. +2025-10-31 16:37:09,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:09,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:09,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:09,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:09,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=14.51, mean=-0.2244, std=3.037, absmax=14.51 +2025-10-31 16:37:09,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=12.09, mean=-0.2271, std=2.509, absmax=12.09 +2025-10-31 16:37:10,271 ERROR: Encountered non-finite generator loss at iter 2990; skipping update. +2025-10-31 16:37:10,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:10,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:10,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=15.94, mean=-0.2623, std=2.778, absmax=15.94 +2025-10-31 16:37:10,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.15, mean=-0.2437, std=2.442, absmax=10.42 +2025-10-31 16:37:10,776 ERROR: Encountered non-finite generator loss at iter 2991; skipping update. +2025-10-31 16:37:10,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,778 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:10,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:10,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:10,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:10,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=11, mean=-0.2723, std=2.283, absmax=11 +2025-10-31 16:37:10,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.483, max=11.07, mean=-0.229, std=2.05, absmax=11.07 +2025-10-31 16:37:11,279 ERROR: Encountered non-finite generator loss at iter 2992; skipping update. +2025-10-31 16:37:11,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,286 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:11,287 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:11,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.55, mean=-0.0422, std=3.08, absmax=13.59 +2025-10-31 16:37:11,289 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=11.45, mean=-0.05033, std=2.61, absmax=11.45 +2025-10-31 16:37:11,783 ERROR: Encountered non-finite generator loss at iter 2993; skipping update. +2025-10-31 16:37:11,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:11,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:11,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:11,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:11,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.82, mean=-0.2231, std=3.467, absmax=15.82 +2025-10-31 16:37:11,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.522, mean=-0.2175, std=2.849, absmax=10.67 +2025-10-31 16:37:12,286 ERROR: Encountered non-finite generator loss at iter 2994; skipping update. +2025-10-31 16:37:12,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:12,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:12,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.17, mean=-0.2416, std=3.109, absmax=13.18 +2025-10-31 16:37:12,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.745, mean=-0.2267, std=2.556, absmax=10.28 +2025-10-31 16:37:12,789 ERROR: Encountered non-finite generator loss at iter 2995; skipping update. +2025-10-31 16:37:12,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:12,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:12,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:12,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:12,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.93, mean=-0.2453, std=2.709, absmax=12.93 +2025-10-31 16:37:12,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.123, max=9.215, mean=-0.238, std=2.181, absmax=9.215 +2025-10-31 16:37:13,292 ERROR: Encountered non-finite generator loss at iter 2996; skipping update. +2025-10-31 16:37:13,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:13,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:13,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.23, mean=-0.2083, std=2.931, absmax=12.23 +2025-10-31 16:37:13,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.679, max=9.23, mean=-0.211, std=2.328, absmax=9.679 +2025-10-31 16:37:13,796 ERROR: Encountered non-finite generator loss at iter 2997; skipping update. +2025-10-31 16:37:13,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:13,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:13,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:13,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:13,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.44, mean=-0.2981, std=3.034, absmax=13.68 +2025-10-31 16:37:13,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.135, mean=-0.2748, std=2.549, absmax=11.06 +2025-10-31 16:37:14,299 ERROR: Encountered non-finite generator loss at iter 2998; skipping update. +2025-10-31 16:37:14,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:14,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:14,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.02, mean=-0.2299, std=2.838, absmax=13.02 +2025-10-31 16:37:14,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.244, mean=-0.248, std=2.344, absmax=10.23 +2025-10-31 16:37:14,804 ERROR: Encountered non-finite generator loss at iter 2999; skipping update. +2025-10-31 16:37:14,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:14,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:14,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:14,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:14,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=11.67, mean=0.1049, std=2.813, absmax=11.67 +2025-10-31 16:37:14,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.682, max=9.511, mean=0.08851, std=2.36, absmax=9.511 +2025-10-31 16:37:15,307 ERROR: Encountered non-finite generator loss at iter 3000; skipping update. +2025-10-31 16:37:15,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:15,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:15,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.87, mean=-0.3838, std=2.779, absmax=12.9 +2025-10-31 16:37:15,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.106, mean=-0.3478, std=2.489, absmax=10.81 +2025-10-31 16:37:15,319 INFO: [29..][epoch: 0, step: 3,000, lr:(1.500e-04,)] [eta: 1 day, 21:36:03, time (data): 0.503 (0.000)] +2025-10-31 16:37:15,813 ERROR: Encountered non-finite generator loss at iter 3001; skipping update. +2025-10-31 16:37:15,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:15,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:15,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:15,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:15,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=15.08, mean=0.04845, std=3.017, absmax=15.08 +2025-10-31 16:37:15,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.716, max=11.04, mean=0.01599, std=2.4, absmax=11.04 +2025-10-31 16:37:16,315 ERROR: Encountered non-finite generator loss at iter 3002; skipping update. +2025-10-31 16:37:16,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:16,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:16,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=18.51, mean=0.06452, std=3.549, absmax=18.51 +2025-10-31 16:37:16,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=14.55, mean=0.04071, std=3.101, absmax=14.55 +2025-10-31 16:37:16,820 ERROR: Encountered non-finite generator loss at iter 3003; skipping update. +2025-10-31 16:37:16,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:16,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:16,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:16,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:16,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=15.7, mean=-0.01608, std=3.135, absmax=15.7 +2025-10-31 16:37:16,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.963, max=11.65, mean=-0.02919, std=2.619, absmax=11.65 +2025-10-31 16:37:17,323 ERROR: Encountered non-finite generator loss at iter 3004; skipping update. +2025-10-31 16:37:17,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:17,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:17,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.03, mean=-0.288, std=3.226, absmax=14.25 +2025-10-31 16:37:17,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=12.21, mean=-0.2515, std=2.751, absmax=12.21 +2025-10-31 16:37:17,826 ERROR: Encountered non-finite generator loss at iter 3005; skipping update. +2025-10-31 16:37:17,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:17,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:17,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:17,833 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:17,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.38, mean=-0.1508, std=3.337, absmax=13.38 +2025-10-31 16:37:17,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.49, mean=-0.1226, std=2.872, absmax=11.49 +2025-10-31 16:37:18,327 ERROR: Encountered non-finite generator loss at iter 3006; skipping update. +2025-10-31 16:37:18,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:18,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:18,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=10.2, mean=-0.2334, std=3.063, absmax=11.93 +2025-10-31 16:37:18,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.484, mean=-0.2133, std=2.74, absmax=10.86 +2025-10-31 16:37:18,829 ERROR: Encountered non-finite generator loss at iter 3007; skipping update. +2025-10-31 16:37:18,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,833 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,834 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:18,835 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:18,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:18,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:18,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=15.61, mean=-0.1878, std=2.731, absmax=15.61 +2025-10-31 16:37:18,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.756, max=8.711, mean=-0.1784, std=2.271, absmax=9.756 +2025-10-31 16:37:19,331 ERROR: Encountered non-finite generator loss at iter 3008; skipping update. +2025-10-31 16:37:19,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:19,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:19,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=16.03, mean=-0.2549, std=3.077, absmax=16.03 +2025-10-31 16:37:19,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.803, max=12.53, mean=-0.2611, std=2.458, absmax=12.53 +2025-10-31 16:37:19,832 ERROR: Encountered non-finite generator loss at iter 3009; skipping update. +2025-10-31 16:37:19,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:19,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:19,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:19,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:19,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=16.03, mean=-0.02728, std=3.076, absmax=16.03 +2025-10-31 16:37:19,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.796, max=11.32, mean=-0.0552, std=2.398, absmax=11.32 +2025-10-31 16:37:20,335 ERROR: Encountered non-finite generator loss at iter 3010; skipping update. +2025-10-31 16:37:20,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:20,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:20,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.62, mean=-0.425, std=3.888, absmax=13.73 +2025-10-31 16:37:20,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.91, mean=-0.4174, std=3.268, absmax=11.27 +2025-10-31 16:37:20,836 ERROR: Encountered non-finite generator loss at iter 3011; skipping update. +2025-10-31 16:37:20,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:20,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:20,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:20,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:20,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=10.38, mean=-0.3909, std=3.56, absmax=14.71 +2025-10-31 16:37:20,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.98, max=9.897, mean=-0.3862, std=3.096, absmax=13.98 +2025-10-31 16:37:21,340 ERROR: Encountered non-finite generator loss at iter 3012; skipping update. +2025-10-31 16:37:21,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:21,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:21,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.92, mean=-0.01861, std=3.659, absmax=15.92 +2025-10-31 16:37:21,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=13.12, mean=-0.0431, std=2.943, absmax=13.12 +2025-10-31 16:37:21,843 ERROR: Encountered non-finite generator loss at iter 3013; skipping update. +2025-10-31 16:37:21,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:21,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:21,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:21,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:21,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.37, mean=-0.1467, std=2.849, absmax=12.98 +2025-10-31 16:37:21,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.005, max=9.465, mean=-0.1779, std=2.429, absmax=9.465 +2025-10-31 16:37:22,346 ERROR: Encountered non-finite generator loss at iter 3014; skipping update. +2025-10-31 16:37:22,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:22,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:22,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=15.17, mean=0.001065, std=3.216, absmax=15.17 +2025-10-31 16:37:22,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=11.74, mean=-0.02446, std=2.698, absmax=11.74 +2025-10-31 16:37:22,847 ERROR: Encountered non-finite generator loss at iter 3015; skipping update. +2025-10-31 16:37:22,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:22,853 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:22,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:22,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:22,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=13.16, mean=-0.2829, std=3.374, absmax=14.58 +2025-10-31 16:37:22,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=10.99, mean=-0.2241, std=2.952, absmax=12.9 +2025-10-31 16:37:23,348 ERROR: Encountered non-finite generator loss at iter 3016; skipping update. +2025-10-31 16:37:23,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:23,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:23,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=12.8, mean=-0.08461, std=2.826, absmax=12.8 +2025-10-31 16:37:23,358 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.435, max=9.356, mean=-0.09726, std=2.423, absmax=9.435 +2025-10-31 16:37:23,850 ERROR: Encountered non-finite generator loss at iter 3017; skipping update. +2025-10-31 16:37:23,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,854 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,855 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:23,856 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:23,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:23,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:23,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.88, mean=-0.158, std=2.933, absmax=14.88 +2025-10-31 16:37:23,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=12.57, mean=-0.2136, std=2.511, absmax=12.57 +2025-10-31 16:37:24,351 ERROR: Encountered non-finite generator loss at iter 3018; skipping update. +2025-10-31 16:37:24,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:24,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:24,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.5, mean=-0.1566, std=2.868, absmax=14.5 +2025-10-31 16:37:24,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=12.99, mean=-0.1313, std=2.423, absmax=12.99 +2025-10-31 16:37:24,853 ERROR: Encountered non-finite generator loss at iter 3019; skipping update. +2025-10-31 16:37:24,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,856 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:24,858 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:24,859 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:24,860 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:24,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=16.02, mean=0.1478, std=3.833, absmax=16.02 +2025-10-31 16:37:24,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=11.69, mean=0.136, std=3.263, absmax=11.69 +2025-10-31 16:37:25,354 ERROR: Encountered non-finite generator loss at iter 3020; skipping update. +2025-10-31 16:37:25,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:25,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:25,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.29, max=9.494, mean=-0.2229, std=2.304, absmax=10.29 +2025-10-31 16:37:25,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.479, max=8.089, mean=-0.2047, std=2.008, absmax=8.479 +2025-10-31 16:37:25,859 ERROR: Encountered non-finite generator loss at iter 3021; skipping update. +2025-10-31 16:37:25,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:25,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:25,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:25,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:25,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.5, mean=-0.06154, std=3.082, absmax=12.69 +2025-10-31 16:37:25,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.33, mean=-0.1264, std=2.627, absmax=11.33 +2025-10-31 16:37:26,361 ERROR: Encountered non-finite generator loss at iter 3022; skipping update. +2025-10-31 16:37:26,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,364 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,366 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:26,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:26,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=10.64, mean=-0.324, std=2.998, absmax=12.4 +2025-10-31 16:37:26,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.515, max=8.616, mean=-0.3419, std=2.377, absmax=9.515 +2025-10-31 16:37:26,863 ERROR: Encountered non-finite generator loss at iter 3023; skipping update. +2025-10-31 16:37:26,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:26,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:26,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:26,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:26,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.86, mean=-0.2109, std=2.582, absmax=12.86 +2025-10-31 16:37:26,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=9.639, mean=-0.2035, std=2.066, absmax=9.701 +2025-10-31 16:37:27,366 ERROR: Encountered non-finite generator loss at iter 3024; skipping update. +2025-10-31 16:37:27,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:27,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:27,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.58, mean=-0.2172, std=2.552, absmax=12.58 +2025-10-31 16:37:27,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.965, max=7.517, mean=-0.2251, std=2.133, absmax=9.965 +2025-10-31 16:37:27,867 ERROR: Encountered non-finite generator loss at iter 3025; skipping update. +2025-10-31 16:37:27,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:27,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:27,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:27,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:27,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.43, mean=-0.1117, std=2.948, absmax=13.12 +2025-10-31 16:37:27,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=11.2, mean=-0.09549, std=2.77, absmax=11.2 +2025-10-31 16:37:28,369 ERROR: Encountered non-finite generator loss at iter 3026; skipping update. +2025-10-31 16:37:28,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:28,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:28,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.96, mean=-0.389, std=2.805, absmax=15.96 +2025-10-31 16:37:28,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.78, max=12.21, mean=-0.3244, std=2.366, absmax=12.21 +2025-10-31 16:37:28,870 ERROR: Encountered non-finite generator loss at iter 3027; skipping update. +2025-10-31 16:37:28,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:28,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:28,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:28,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:28,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.05, max=14.92, mean=-0.05605, std=2.568, absmax=14.92 +2025-10-31 16:37:28,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.035, max=11.95, mean=-0.1215, std=2.3, absmax=11.95 +2025-10-31 16:37:29,371 ERROR: Encountered non-finite generator loss at iter 3028; skipping update. +2025-10-31 16:37:29,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:29,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:29,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=14.59, mean=-0.08271, std=3.318, absmax=14.59 +2025-10-31 16:37:29,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.856, max=9.035, mean=-0.07737, std=2.649, absmax=9.035 +2025-10-31 16:37:29,873 ERROR: Encountered non-finite generator loss at iter 3029; skipping update. +2025-10-31 16:37:29,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:29,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:29,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:29,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:29,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.53, mean=-0.09737, std=3.379, absmax=14.53 +2025-10-31 16:37:29,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.82, mean=-0.12, std=2.814, absmax=11.71 +2025-10-31 16:37:30,374 ERROR: Encountered non-finite generator loss at iter 3030; skipping update. +2025-10-31 16:37:30,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:30,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:30,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12.04, mean=-0.1204, std=2.647, absmax=14.22 +2025-10-31 16:37:30,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=8.933, mean=-0.1621, std=2.22, absmax=11.64 +2025-10-31 16:37:30,876 ERROR: Encountered non-finite generator loss at iter 3031; skipping update. +2025-10-31 16:37:30,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:30,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:30,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:30,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:30,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.78, mean=-0.06651, std=3.121, absmax=13.85 +2025-10-31 16:37:30,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=10.44, mean=-0.07957, std=2.549, absmax=10.44 +2025-10-31 16:37:31,375 ERROR: Encountered non-finite generator loss at iter 3032; skipping update. +2025-10-31 16:37:31,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:31,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:31,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.44, mean=-0.2964, std=3.293, absmax=13.24 +2025-10-31 16:37:31,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.37, mean=-0.2859, std=2.904, absmax=11.54 +2025-10-31 16:37:31,876 ERROR: Encountered non-finite generator loss at iter 3033; skipping update. +2025-10-31 16:37:31,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:31,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:31,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:31,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:31,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.98, max=11.81, mean=-0.2939, std=3.237, absmax=15.98 +2025-10-31 16:37:31,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.25, max=10.52, mean=-0.3153, std=2.711, absmax=12.25 +2025-10-31 16:37:32,377 ERROR: Encountered non-finite generator loss at iter 3034; skipping update. +2025-10-31 16:37:32,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:32,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:32,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=12.1, mean=-0.2279, std=3.284, absmax=15.15 +2025-10-31 16:37:32,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.49, mean=-0.2292, std=2.952, absmax=11.02 +2025-10-31 16:37:32,879 ERROR: Encountered non-finite generator loss at iter 3035; skipping update. +2025-10-31 16:37:32,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:32,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:32,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:32,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:32,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.94, mean=-0.09489, std=3.213, absmax=13.03 +2025-10-31 16:37:32,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=10.82, mean=-0.06766, std=2.767, absmax=10.82 +2025-10-31 16:37:33,380 ERROR: Encountered non-finite generator loss at iter 3036; skipping update. +2025-10-31 16:37:33,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:33,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:33,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.59, mean=-0.1635, std=2.865, absmax=13.63 +2025-10-31 16:37:33,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=8.008, mean=-0.1918, std=2.307, absmax=10.25 +2025-10-31 16:37:33,882 ERROR: Encountered non-finite generator loss at iter 3037; skipping update. +2025-10-31 16:37:33,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:33,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:33,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:33,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:33,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.12, mean=-0.3166, std=2.897, absmax=12.36 +2025-10-31 16:37:33,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=7.736, mean=-0.2949, std=2.417, absmax=9.777 +2025-10-31 16:37:34,383 ERROR: Encountered non-finite generator loss at iter 3038; skipping update. +2025-10-31 16:37:34,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,386 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:34,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:34,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.95, mean=-0.07867, std=3.027, absmax=13.95 +2025-10-31 16:37:34,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.1, mean=-0.08796, std=2.429, absmax=10.88 +2025-10-31 16:37:34,884 ERROR: Encountered non-finite generator loss at iter 3039; skipping update. +2025-10-31 16:37:34,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,886 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:34,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:34,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:34,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:34,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.56, mean=-0.2241, std=2.442, absmax=13.58 +2025-10-31 16:37:34,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.461, max=8.04, mean=-0.1883, std=2.043, absmax=9.461 +2025-10-31 16:37:35,389 ERROR: Encountered non-finite generator loss at iter 3040; skipping update. +2025-10-31 16:37:35,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,394 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:35,397 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:35,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=12.75, mean=0.1261, std=2.895, absmax=12.75 +2025-10-31 16:37:35,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.19, max=11.19, mean=0.05189, std=2.463, absmax=11.19 +2025-10-31 16:37:35,891 ERROR: Encountered non-finite generator loss at iter 3041; skipping update. +2025-10-31 16:37:35,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,897 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:35,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:35,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:35,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:35,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.98, mean=-0.0384, std=3.352, absmax=13.3 +2025-10-31 16:37:35,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.987, max=11.49, mean=-0.03635, std=2.807, absmax=11.49 +2025-10-31 16:37:36,394 ERROR: Encountered non-finite generator loss at iter 3042; skipping update. +2025-10-31 16:37:36,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:36,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:36,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.47, mean=-0.2728, std=2.851, absmax=14.47 +2025-10-31 16:37:36,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.611, max=9.839, mean=-0.2428, std=2.331, absmax=9.839 +2025-10-31 16:37:36,896 ERROR: Encountered non-finite generator loss at iter 3043; skipping update. +2025-10-31 16:37:36,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:36,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:36,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:36,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:36,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=15.11, mean=-0.3197, std=3.257, absmax=15.11 +2025-10-31 16:37:36,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=11.95, mean=-0.2972, std=2.718, absmax=11.95 +2025-10-31 16:37:37,398 ERROR: Encountered non-finite generator loss at iter 3044; skipping update. +2025-10-31 16:37:37,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:37,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:37,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=15.52, mean=-0.3127, std=2.62, absmax=15.52 +2025-10-31 16:37:37,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=9.092, mean=-0.2794, std=2.233, absmax=9.644 +2025-10-31 16:37:37,900 ERROR: Encountered non-finite generator loss at iter 3045; skipping update. +2025-10-31 16:37:37,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:37,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:37,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:37,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:37,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.76, mean=0.0665, std=3.914, absmax=14.76 +2025-10-31 16:37:37,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=13.49, mean=0.09843, std=3.369, absmax=13.49 +2025-10-31 16:37:38,401 ERROR: Encountered non-finite generator loss at iter 3046; skipping update. +2025-10-31 16:37:38,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:38,408 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:38,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.85, mean=-0.1922, std=3.241, absmax=12.17 +2025-10-31 16:37:38,410 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.679, mean=-0.194, std=2.718, absmax=10.12 +2025-10-31 16:37:38,903 ERROR: Encountered non-finite generator loss at iter 3047; skipping update. +2025-10-31 16:37:38,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:38,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:38,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:38,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:38,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.87, mean=-0.03056, std=3.074, absmax=16.87 +2025-10-31 16:37:38,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.363, max=11.16, mean=-0.05639, std=2.508, absmax=11.16 +2025-10-31 16:37:39,403 ERROR: Encountered non-finite generator loss at iter 3048; skipping update. +2025-10-31 16:37:39,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:39,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:39,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.21, mean=-0.06472, std=3.123, absmax=13.81 +2025-10-31 16:37:39,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.26, mean=-0.134, std=2.52, absmax=10.93 +2025-10-31 16:37:39,906 ERROR: Encountered non-finite generator loss at iter 3049; skipping update. +2025-10-31 16:37:39,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:39,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:39,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:39,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:39,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=12.99, mean=-0.00581, std=3.124, absmax=14.27 +2025-10-31 16:37:39,915 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.46, mean=-0.02768, std=2.68, absmax=10.73 +2025-10-31 16:37:40,407 ERROR: Encountered non-finite generator loss at iter 3050; skipping update. +2025-10-31 16:37:40,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:40,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:40,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.23, mean=-0.04358, std=2.761, absmax=12.23 +2025-10-31 16:37:40,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.387, max=9.484, mean=-0.03973, std=2.335, absmax=9.484 +2025-10-31 16:37:40,912 ERROR: Encountered non-finite generator loss at iter 3051; skipping update. +2025-10-31 16:37:40,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:40,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:40,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:40,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:40,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.95, mean=-0.07296, std=3.412, absmax=14.95 +2025-10-31 16:37:40,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.95, mean=-0.1128, std=2.953, absmax=10.95 +2025-10-31 16:37:41,414 ERROR: Encountered non-finite generator loss at iter 3052; skipping update. +2025-10-31 16:37:41,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,416 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,419 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:41,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:41,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=13.75, mean=-0.06739, std=3.429, absmax=14.85 +2025-10-31 16:37:41,424 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=11.45, mean=-0.1017, std=2.987, absmax=12.56 +2025-10-31 16:37:41,918 ERROR: Encountered non-finite generator loss at iter 3053; skipping update. +2025-10-31 16:37:41,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,923 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:41,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:41,925 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:41,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:41,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=16.39, mean=0.04762, std=3.222, absmax=16.39 +2025-10-31 16:37:41,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.684, max=11.39, mean=0.01537, std=2.711, absmax=11.39 +2025-10-31 16:37:42,422 ERROR: Encountered non-finite generator loss at iter 3054; skipping update. +2025-10-31 16:37:42,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:42,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:42,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.42, mean=-0.1773, std=2.667, absmax=12.42 +2025-10-31 16:37:42,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.311, max=10.13, mean=-0.1734, std=2.29, absmax=10.13 +2025-10-31 16:37:42,922 ERROR: Encountered non-finite generator loss at iter 3055; skipping update. +2025-10-31 16:37:42,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,925 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:42,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:42,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:42,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:42,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.35, mean=-0.1142, std=3.009, absmax=14.25 +2025-10-31 16:37:42,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.185, max=10.41, mean=-0.1109, std=2.521, absmax=10.41 +2025-10-31 16:37:43,424 ERROR: Encountered non-finite generator loss at iter 3056; skipping update. +2025-10-31 16:37:43,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:43,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:43,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=14.73, mean=-0.0686, std=2.927, absmax=14.73 +2025-10-31 16:37:43,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.833, max=9.964, mean=-0.06447, std=2.497, absmax=9.964 +2025-10-31 16:37:43,927 ERROR: Encountered non-finite generator loss at iter 3057; skipping update. +2025-10-31 16:37:43,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:43,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:43,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:43,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:43,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.36, mean=-0.1849, std=3.255, absmax=14.36 +2025-10-31 16:37:43,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=13.66, mean=-0.1537, std=2.726, absmax=13.66 +2025-10-31 16:37:44,428 ERROR: Encountered non-finite generator loss at iter 3058; skipping update. +2025-10-31 16:37:44,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:44,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:44,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=10.77, mean=-0.161, std=2.465, absmax=11.56 +2025-10-31 16:37:44,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=7.877, mean=-0.1488, std=2.115, absmax=9.281 +2025-10-31 16:37:44,930 ERROR: Encountered non-finite generator loss at iter 3059; skipping update. +2025-10-31 16:37:44,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:44,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:44,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:44,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:44,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=13.37, mean=0.02548, std=2.979, absmax=15.5 +2025-10-31 16:37:44,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.82, mean=0.01914, std=2.499, absmax=10.82 +2025-10-31 16:37:45,432 ERROR: Encountered non-finite generator loss at iter 3060; skipping update. +2025-10-31 16:37:45,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:45,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:45,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.04, max=12.2, mean=-0.2889, std=2.643, absmax=16.04 +2025-10-31 16:37:45,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.271, mean=-0.3186, std=2.394, absmax=10.52 +2025-10-31 16:37:45,935 ERROR: Encountered non-finite generator loss at iter 3061; skipping update. +2025-10-31 16:37:45,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:45,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:45,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:45,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:45,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.4, mean=-0.2482, std=2.873, absmax=12.86 +2025-10-31 16:37:45,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.52, max=8.717, mean=-0.2337, std=2.444, absmax=9.52 +2025-10-31 16:37:46,436 ERROR: Encountered non-finite generator loss at iter 3062; skipping update. +2025-10-31 16:37:46,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:46,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:46,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=15.64, mean=-0.1908, std=3.508, absmax=15.64 +2025-10-31 16:37:46,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=11.37, mean=-0.1935, std=2.901, absmax=12.04 +2025-10-31 16:37:46,939 ERROR: Encountered non-finite generator loss at iter 3063; skipping update. +2025-10-31 16:37:46,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:46,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:46,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:46,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:46,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.99, mean=-0.257, std=2.898, absmax=13.13 +2025-10-31 16:37:46,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=10.1, mean=-0.272, std=2.526, absmax=10.6 +2025-10-31 16:37:47,443 ERROR: Encountered non-finite generator loss at iter 3064; skipping update. +2025-10-31 16:37:47,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:47,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:47,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=10.17, mean=-0.3241, std=3.001, absmax=13.87 +2025-10-31 16:37:47,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.428, mean=-0.2849, std=2.5, absmax=10.52 +2025-10-31 16:37:47,944 ERROR: Encountered non-finite generator loss at iter 3065; skipping update. +2025-10-31 16:37:47,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:47,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:47,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:47,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:47,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=12.32, mean=-0.2862, std=3.142, absmax=14.65 +2025-10-31 16:37:47,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.81, mean=-0.2494, std=2.763, absmax=12.21 +2025-10-31 16:37:48,447 ERROR: Encountered non-finite generator loss at iter 3066; skipping update. +2025-10-31 16:37:48,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:48,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:48,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.9, mean=0.1576, std=3.161, absmax=13.9 +2025-10-31 16:37:48,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.394, max=11.28, mean=0.08901, std=2.667, absmax=11.28 +2025-10-31 16:37:48,950 ERROR: Encountered non-finite generator loss at iter 3067; skipping update. +2025-10-31 16:37:48,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:48,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:48,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:48,957 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:48,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.29, mean=-0.1031, std=2.546, absmax=13.29 +2025-10-31 16:37:48,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=10.22, mean=-0.135, std=2.13, absmax=10.22 +2025-10-31 16:37:49,451 ERROR: Encountered non-finite generator loss at iter 3068; skipping update. +2025-10-31 16:37:49,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:49,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:49,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.79, mean=-0.04527, std=3.633, absmax=14.79 +2025-10-31 16:37:49,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=13.45, mean=-0.06236, std=3.139, absmax=13.45 +2025-10-31 16:37:49,954 ERROR: Encountered non-finite generator loss at iter 3069; skipping update. +2025-10-31 16:37:49,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:49,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:49,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:49,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:49,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=10.98, mean=-0.2424, std=2.672, absmax=13.56 +2025-10-31 16:37:49,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=8.264, mean=-0.2589, std=2.267, absmax=12.71 +2025-10-31 16:37:50,457 ERROR: Encountered non-finite generator loss at iter 3070; skipping update. +2025-10-31 16:37:50,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:50,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:50,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=15.47, mean=0.2181, std=3.715, absmax=15.47 +2025-10-31 16:37:50,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=13.57, mean=0.156, std=3.185, absmax=13.57 +2025-10-31 16:37:50,960 ERROR: Encountered non-finite generator loss at iter 3071; skipping update. +2025-10-31 16:37:50,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:50,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:50,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:50,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:50,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.47, mean=-0.1459, std=2.756, absmax=13.47 +2025-10-31 16:37:50,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.665, max=9.762, mean=-0.1289, std=2.193, absmax=9.762 +2025-10-31 16:37:51,461 ERROR: Encountered non-finite generator loss at iter 3072; skipping update. +2025-10-31 16:37:51,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:51,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:51,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.13, mean=-0.1411, std=2.809, absmax=13.42 +2025-10-31 16:37:51,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.94, mean=-0.1422, std=2.331, absmax=10.94 +2025-10-31 16:37:51,965 ERROR: Encountered non-finite generator loss at iter 3073; skipping update. +2025-10-31 16:37:51,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:51,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:51,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:51,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:51,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15.33, mean=-0.1572, std=3.132, absmax=15.33 +2025-10-31 16:37:51,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.76, mean=-0.1615, std=2.613, absmax=10.76 +2025-10-31 16:37:52,467 ERROR: Encountered non-finite generator loss at iter 3074; skipping update. +2025-10-31 16:37:52,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:52,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:52,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=17.14, mean=-0.2365, std=3.073, absmax=17.14 +2025-10-31 16:37:52,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.773, max=11.41, mean=-0.2608, std=2.476, absmax=11.41 +2025-10-31 16:37:52,969 ERROR: Encountered non-finite generator loss at iter 3075; skipping update. +2025-10-31 16:37:52,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:52,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:52,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:52,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:52,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=10.9, mean=-0.08032, std=3.237, absmax=13.58 +2025-10-31 16:37:52,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.554, mean=-0.08347, std=2.774, absmax=10.95 +2025-10-31 16:37:53,472 ERROR: Encountered non-finite generator loss at iter 3076; skipping update. +2025-10-31 16:37:53,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:53,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:53,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=14.01, mean=-0.1754, std=3.802, absmax=14.59 +2025-10-31 16:37:53,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=11.78, mean=-0.1491, std=3.212, absmax=12.4 +2025-10-31 16:37:53,976 ERROR: Encountered non-finite generator loss at iter 3077; skipping update. +2025-10-31 16:37:53,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:53,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:53,983 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:53,984 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:53,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.98, mean=-0.2352, std=2.925, absmax=11.97 +2025-10-31 16:37:53,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.354, max=8.951, mean=-0.2282, std=2.388, absmax=9.354 +2025-10-31 16:37:54,478 ERROR: Encountered non-finite generator loss at iter 3078; skipping update. +2025-10-31 16:37:54,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,481 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:54,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:54,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.66, mean=-0.1657, std=3.628, absmax=13.8 +2025-10-31 16:37:54,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.37, mean=-0.1667, std=2.957, absmax=11.26 +2025-10-31 16:37:54,979 ERROR: Encountered non-finite generator loss at iter 3079; skipping update. +2025-10-31 16:37:54,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:54,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:54,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:54,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:54,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.75, mean=-0.1172, std=3.56, absmax=14.02 +2025-10-31 16:37:54,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=10.19, mean=-0.1455, std=2.967, absmax=11.28 +2025-10-31 16:37:55,482 ERROR: Encountered non-finite generator loss at iter 3080; skipping update. +2025-10-31 16:37:55,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:55,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:55,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.52, mean=0.1764, std=3.212, absmax=14.52 +2025-10-31 16:37:55,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.173, max=12.65, mean=0.1386, std=2.624, absmax=12.65 +2025-10-31 16:37:55,984 ERROR: Encountered non-finite generator loss at iter 3081; skipping update. +2025-10-31 16:37:55,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:55,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:55,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:55,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:55,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.85, mean=-0.2232, std=3.176, absmax=14.26 +2025-10-31 16:37:55,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.09, max=9.84, mean=-0.2204, std=2.777, absmax=14.09 +2025-10-31 16:37:56,484 ERROR: Encountered non-finite generator loss at iter 3082; skipping update. +2025-10-31 16:37:56,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:56,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:56,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.06, mean=-0.1325, std=2.993, absmax=13.06 +2025-10-31 16:37:56,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.734, max=11.37, mean=-0.1588, std=2.708, absmax=11.37 +2025-10-31 16:37:56,984 ERROR: Encountered non-finite generator loss at iter 3083; skipping update. +2025-10-31 16:37:56,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:56,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:56,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:56,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:56,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.51, mean=-0.1574, std=2.482, absmax=13.69 +2025-10-31 16:37:56,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.989, max=6.778, mean=-0.1507, std=2.084, absmax=8.989 +2025-10-31 16:37:57,485 ERROR: Encountered non-finite generator loss at iter 3084; skipping update. +2025-10-31 16:37:57,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,488 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:57,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:57,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=17.55, mean=-0.3138, std=3.483, absmax=17.55 +2025-10-31 16:37:57,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=9.244, mean=-0.3137, std=2.807, absmax=12.82 +2025-10-31 16:37:57,987 ERROR: Encountered non-finite generator loss at iter 3085; skipping update. +2025-10-31 16:37:57,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:57,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:57,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:57,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:57,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.26, mean=-0.2254, std=3.124, absmax=13.48 +2025-10-31 16:37:57,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.312, mean=-0.2438, std=2.655, absmax=10.38 +2025-10-31 16:37:58,487 ERROR: Encountered non-finite generator loss at iter 3086; skipping update. +2025-10-31 16:37:58,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:58,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:58,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=10.9, mean=-0.3633, std=2.939, absmax=13.65 +2025-10-31 16:37:58,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=9.13, mean=-0.3868, std=2.593, absmax=11.95 +2025-10-31 16:37:58,989 ERROR: Encountered non-finite generator loss at iter 3087; skipping update. +2025-10-31 16:37:58,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:58,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:58,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:58,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:58,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.79, mean=-0.1412, std=2.923, absmax=13.79 +2025-10-31 16:37:58,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.166, max=11.19, mean=-0.1482, std=2.534, absmax=11.19 +2025-10-31 16:37:59,490 ERROR: Encountered non-finite generator loss at iter 3088; skipping update. +2025-10-31 16:37:59,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:59,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:59,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:37:59,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:37:59,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:37:59,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=16.36, mean=-0.2002, std=2.928, absmax=16.36 +2025-10-31 16:37:59,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.68, max=9.221, mean=-0.175, std=2.507, absmax=9.68 +2025-10-31 16:37:59,993 ERROR: Encountered non-finite generator loss at iter 3089; skipping update. +2025-10-31 16:37:59,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:37:59,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:37:59,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:37:59,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:00,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:00,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.07, mean=0.05241, std=3.128, absmax=14.07 +2025-10-31 16:38:00,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.471, max=12.02, mean=0.02772, std=2.785, absmax=12.02 +2025-10-31 16:38:00,494 ERROR: Encountered non-finite generator loss at iter 3090; skipping update. +2025-10-31 16:38:00,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:00,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:00,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:00,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:00,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:00,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.3, mean=-0.3418, std=3.092, absmax=12.5 +2025-10-31 16:38:00,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=7.774, mean=-0.3558, std=2.583, absmax=10.63 +2025-10-31 16:38:00,995 ERROR: Encountered non-finite generator loss at iter 3091; skipping update. +2025-10-31 16:38:00,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:00,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:00,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:00,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:01,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:01,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:01,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:01,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.91, mean=-0.04296, std=2.957, absmax=13.79 +2025-10-31 16:38:01,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=11.46, mean=-0.06828, std=2.725, absmax=12.4 +2025-10-31 16:38:01,497 ERROR: Encountered non-finite generator loss at iter 3092; skipping update. +2025-10-31 16:38:01,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:01,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:01,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:01,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:01,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:01,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:01,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:01,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:01,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.08, mean=-0.06362, std=2.843, absmax=12.69 +2025-10-31 16:38:01,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.644, max=10.97, mean=-0.07707, std=2.46, absmax=10.97 +2025-10-31 16:38:01,998 ERROR: Encountered non-finite generator loss at iter 3093; skipping update. +2025-10-31 16:38:01,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:02,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:02,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.18, mean=-0.2333, std=2.502, absmax=11.97 +2025-10-31 16:38:02,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.808, max=8.889, mean=-0.2037, std=2.25, absmax=8.889 +2025-10-31 16:38:02,498 ERROR: Encountered non-finite generator loss at iter 3094; skipping update. +2025-10-31 16:38:02,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:02,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:02,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:02,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:02,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=14.46, mean=0.01592, std=3.554, absmax=14.52 +2025-10-31 16:38:02,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.78, mean=0.002127, std=2.929, absmax=11.18 +2025-10-31 16:38:02,999 ERROR: Encountered non-finite generator loss at iter 3095; skipping update. +2025-10-31 16:38:03,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:03,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:03,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.91, mean=-0.1885, std=2.513, absmax=12.91 +2025-10-31 16:38:03,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=7.751, mean=-0.2239, std=2.082, absmax=10.35 +2025-10-31 16:38:03,498 ERROR: Encountered non-finite generator loss at iter 3096; skipping update. +2025-10-31 16:38:03,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:03,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:03,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:03,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.68, mean=-0.2747, std=2.831, absmax=12.77 +2025-10-31 16:38:03,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.84, max=10.26, mean=-0.2477, std=2.313, absmax=10.26 +2025-10-31 16:38:03,997 ERROR: Encountered non-finite generator loss at iter 3097; skipping update. +2025-10-31 16:38:03,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:03,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:04,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:04,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:04,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:04,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=14.78, mean=0.1701, std=3.378, absmax=14.82 +2025-10-31 16:38:04,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=12.56, mean=0.1297, std=2.841, absmax=12.56 +2025-10-31 16:38:04,499 ERROR: Encountered non-finite generator loss at iter 3098; skipping update. +2025-10-31 16:38:04,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:04,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:04,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:04,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:04,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:04,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:04,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.59, mean=-0.0008799, std=3.018, absmax=13.59 +2025-10-31 16:38:04,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=9.788, mean=-0.08714, std=2.458, absmax=9.788 +2025-10-31 16:38:04,999 ERROR: Encountered non-finite generator loss at iter 3099; skipping update. +2025-10-31 16:38:05,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:05,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:05,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=10.77, mean=-0.2963, std=2.808, absmax=12.7 +2025-10-31 16:38:05,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=8.283, mean=-0.2714, std=2.417, absmax=11.05 +2025-10-31 16:38:05,501 ERROR: Encountered non-finite generator loss at iter 3100; skipping update. +2025-10-31 16:38:05,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:05,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:05,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:05,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:05,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.02, mean=-0.07308, std=2.643, absmax=13.02 +2025-10-31 16:38:05,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.64, mean=-0.07611, std=2.177, absmax=10.64 +2025-10-31 16:38:05,512 INFO: [29..][epoch: 0, step: 3,100, lr:(1.500e-04,)] [eta: 1 day, 21:13:21, time (data): 0.502 (0.000)] +2025-10-31 16:38:06,003 ERROR: Encountered non-finite generator loss at iter 3101; skipping update. +2025-10-31 16:38:06,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:06,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:06,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.26, mean=-0.3158, std=2.95, absmax=14.26 +2025-10-31 16:38:06,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=8.312, mean=-0.3543, std=2.408, absmax=9.699 +2025-10-31 16:38:06,505 ERROR: Encountered non-finite generator loss at iter 3102; skipping update. +2025-10-31 16:38:06,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:06,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:06,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:06,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:06,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.47, mean=-0.2399, std=3.251, absmax=14 +2025-10-31 16:38:06,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.62, max=10.25, mean=-0.2912, std=2.759, absmax=13.62 +2025-10-31 16:38:07,006 ERROR: Encountered non-finite generator loss at iter 3103; skipping update. +2025-10-31 16:38:07,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:07,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:07,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.17, mean=-0.3023, std=3.223, absmax=14.21 +2025-10-31 16:38:07,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=8.362, mean=-0.3403, std=2.781, absmax=12.82 +2025-10-31 16:38:07,508 ERROR: Encountered non-finite generator loss at iter 3104; skipping update. +2025-10-31 16:38:07,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:07,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:07,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:07,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:07,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=13.5, mean=-0.1106, std=2.961, absmax=14.32 +2025-10-31 16:38:07,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=10.58, mean=-0.1193, std=2.474, absmax=11.06 +2025-10-31 16:38:08,006 ERROR: Encountered non-finite generator loss at iter 3105; skipping update. +2025-10-31 16:38:08,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:08,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:08,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=16.08, mean=-0.1791, std=3.398, absmax=16.08 +2025-10-31 16:38:08,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.31, mean=-0.1894, std=2.783, absmax=11.31 +2025-10-31 16:38:08,505 ERROR: Encountered non-finite generator loss at iter 3106; skipping update. +2025-10-31 16:38:08,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:08,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:08,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:08,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:08,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=14.06, mean=-0.2006, std=3.239, absmax=15.72 +2025-10-31 16:38:08,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.56, max=11.6, mean=-0.2017, std=2.938, absmax=13.56 +2025-10-31 16:38:09,006 ERROR: Encountered non-finite generator loss at iter 3107; skipping update. +2025-10-31 16:38:09,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:09,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:09,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.17, mean=-0.3, std=2.559, absmax=11.45 +2025-10-31 16:38:09,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.468, max=8.169, mean=-0.2807, std=1.986, absmax=9.468 +2025-10-31 16:38:09,514 ERROR: Encountered non-finite generator loss at iter 3108; skipping update. +2025-10-31 16:38:09,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:09,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:09,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:09,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:09,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=11.65, mean=-0.06571, std=2.928, absmax=13.42 +2025-10-31 16:38:09,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.14, max=10.23, mean=-0.07587, std=2.546, absmax=13.14 +2025-10-31 16:38:10,017 ERROR: Encountered non-finite generator loss at iter 3109; skipping update. +2025-10-31 16:38:10,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:10,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:10,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.62, mean=-0.0004912, std=3.268, absmax=14.62 +2025-10-31 16:38:10,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=12.37, mean=-0.06426, std=2.691, absmax=12.37 +2025-10-31 16:38:10,515 ERROR: Encountered non-finite generator loss at iter 3110; skipping update. +2025-10-31 16:38:10,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:10,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:10,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:10,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:10,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.32, mean=-0.1541, std=2.954, absmax=12.33 +2025-10-31 16:38:10,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=9.614, mean=-0.1984, std=2.506, absmax=10.19 +2025-10-31 16:38:11,018 ERROR: Encountered non-finite generator loss at iter 3111; skipping update. +2025-10-31 16:38:11,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:11,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:11,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.86, mean=-0.2279, std=3.153, absmax=12.86 +2025-10-31 16:38:11,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.19, mean=-0.2568, std=2.658, absmax=10.7 +2025-10-31 16:38:11,521 ERROR: Encountered non-finite generator loss at iter 3112; skipping update. +2025-10-31 16:38:11,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:11,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:11,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:11,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:11,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.33, mean=-0.182, std=2.711, absmax=13.16 +2025-10-31 16:38:11,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.592, max=10.63, mean=-0.1616, std=2.259, absmax=10.63 +2025-10-31 16:38:12,023 ERROR: Encountered non-finite generator loss at iter 3113; skipping update. +2025-10-31 16:38:12,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:12,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:12,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.54, mean=-0.1599, std=3.699, absmax=13.2 +2025-10-31 16:38:12,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=10.1, mean=-0.1592, std=3.001, absmax=11.59 +2025-10-31 16:38:12,529 ERROR: Encountered non-finite generator loss at iter 3114; skipping update. +2025-10-31 16:38:12,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:12,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:12,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:12,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:12,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.01, mean=-0.2352, std=2.315, absmax=11.89 +2025-10-31 16:38:12,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.93, max=7.992, mean=-0.2132, std=1.986, absmax=8.93 +2025-10-31 16:38:13,030 ERROR: Encountered non-finite generator loss at iter 3115; skipping update. +2025-10-31 16:38:13,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:13,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:13,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.46, mean=-0.2164, std=2.639, absmax=11.95 +2025-10-31 16:38:13,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.621, mean=-0.2797, std=2.26, absmax=10.44 +2025-10-31 16:38:13,535 ERROR: Encountered non-finite generator loss at iter 3116; skipping update. +2025-10-31 16:38:13,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:13,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:13,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:13,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:13,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.23, mean=-0.2866, std=3.434, absmax=14.7 +2025-10-31 16:38:13,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.44, max=10.09, mean=-0.2657, std=2.901, absmax=13.44 +2025-10-31 16:38:14,037 ERROR: Encountered non-finite generator loss at iter 3117; skipping update. +2025-10-31 16:38:14,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:14,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:14,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.44, mean=-0.2396, std=2.928, absmax=14.44 +2025-10-31 16:38:14,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.43, mean=-0.246, std=2.409, absmax=10.07 +2025-10-31 16:38:14,541 ERROR: Encountered non-finite generator loss at iter 3118; skipping update. +2025-10-31 16:38:14,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:14,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:14,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:14,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:14,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=16.68, mean=-0.1597, std=3.105, absmax=16.68 +2025-10-31 16:38:14,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=10.51, mean=-0.1651, std=2.533, absmax=10.51 +2025-10-31 16:38:15,045 ERROR: Encountered non-finite generator loss at iter 3119; skipping update. +2025-10-31 16:38:15,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:15,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:15,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.81, mean=-0.09656, std=2.945, absmax=13.81 +2025-10-31 16:38:15,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.71, mean=-0.1132, std=2.618, absmax=11.71 +2025-10-31 16:38:15,548 ERROR: Encountered non-finite generator loss at iter 3120; skipping update. +2025-10-31 16:38:15,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:15,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:15,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:15,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:15,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.04, mean=-0.17, std=2.538, absmax=12.87 +2025-10-31 16:38:15,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.688, max=8.828, mean=-0.1568, std=2.274, absmax=9.688 +2025-10-31 16:38:16,051 ERROR: Encountered non-finite generator loss at iter 3121; skipping update. +2025-10-31 16:38:16,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:16,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:16,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.81, mean=0.06124, std=2.801, absmax=13.52 +2025-10-31 16:38:16,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.232, max=8.482, mean=-0.04823, std=2.294, absmax=8.482 +2025-10-31 16:38:16,555 ERROR: Encountered non-finite generator loss at iter 3122; skipping update. +2025-10-31 16:38:16,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:16,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:16,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:16,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:16,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.99, mean=-0.04668, std=3.193, absmax=12.99 +2025-10-31 16:38:16,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=12.01, mean=-0.0419, std=2.68, absmax=12.01 +2025-10-31 16:38:17,061 ERROR: Encountered non-finite generator loss at iter 3123; skipping update. +2025-10-31 16:38:17,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:17,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:17,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.16, mean=-0.1638, std=2.728, absmax=14.18 +2025-10-31 16:38:17,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=9.983, mean=-0.1788, std=2.483, absmax=11.07 +2025-10-31 16:38:17,562 ERROR: Encountered non-finite generator loss at iter 3124; skipping update. +2025-10-31 16:38:17,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:17,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:17,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:17,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:17,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=11.64, mean=-0.05287, std=3.195, absmax=14.02 +2025-10-31 16:38:17,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=11.35, mean=-0.04484, std=2.77, absmax=11.35 +2025-10-31 16:38:18,062 ERROR: Encountered non-finite generator loss at iter 3125; skipping update. +2025-10-31 16:38:18,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:18,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:18,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=13.37, mean=-0.1793, std=3.412, absmax=13.37 +2025-10-31 16:38:18,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.07, mean=-0.172, std=2.853, absmax=11.07 +2025-10-31 16:38:18,564 ERROR: Encountered non-finite generator loss at iter 3126; skipping update. +2025-10-31 16:38:18,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:18,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:18,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:18,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:18,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=11.83, mean=-0.1259, std=3.014, absmax=12.47 +2025-10-31 16:38:18,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.074, mean=-0.1026, std=2.438, absmax=10.23 +2025-10-31 16:38:19,065 ERROR: Encountered non-finite generator loss at iter 3127; skipping update. +2025-10-31 16:38:19,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:19,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:19,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=13.08, mean=-0.2561, std=2.366, absmax=13.08 +2025-10-31 16:38:19,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.104, max=8.248, mean=-0.2115, std=1.983, absmax=9.104 +2025-10-31 16:38:19,566 ERROR: Encountered non-finite generator loss at iter 3128; skipping update. +2025-10-31 16:38:19,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:19,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:19,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:19,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:19,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.68, mean=-0.3507, std=2.607, absmax=12.68 +2025-10-31 16:38:19,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.577, max=11.59, mean=-0.2593, std=2.368, absmax=11.59 +2025-10-31 16:38:20,069 ERROR: Encountered non-finite generator loss at iter 3129; skipping update. +2025-10-31 16:38:20,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,071 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:20,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:20,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.3, mean=-0.09567, std=2.721, absmax=12.08 +2025-10-31 16:38:20,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.362, max=9.003, mean=-0.1521, std=2.295, absmax=9.362 +2025-10-31 16:38:20,570 ERROR: Encountered non-finite generator loss at iter 3130; skipping update. +2025-10-31 16:38:20,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:20,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:20,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:20,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:20,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.32, mean=0.01619, std=3.126, absmax=13.87 +2025-10-31 16:38:20,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.843, max=10.06, mean=0.01003, std=2.612, absmax=10.06 +2025-10-31 16:38:21,071 ERROR: Encountered non-finite generator loss at iter 3131; skipping update. +2025-10-31 16:38:21,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:21,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:21,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=15.83, mean=-0.2924, std=3.731, absmax=15.83 +2025-10-31 16:38:21,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.15, max=11.58, mean=-0.2794, std=3.11, absmax=12.15 +2025-10-31 16:38:21,573 ERROR: Encountered non-finite generator loss at iter 3132; skipping update. +2025-10-31 16:38:21,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:21,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:21,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:21,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:21,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.52, mean=-0.258, std=2.964, absmax=13.76 +2025-10-31 16:38:21,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.222, mean=-0.2522, std=2.552, absmax=11.67 +2025-10-31 16:38:22,074 ERROR: Encountered non-finite generator loss at iter 3133; skipping update. +2025-10-31 16:38:22,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:22,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:22,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11.57, mean=-0.1399, std=2.964, absmax=12.16 +2025-10-31 16:38:22,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.941, max=8.616, mean=-0.153, std=2.441, absmax=8.941 +2025-10-31 16:38:22,573 ERROR: Encountered non-finite generator loss at iter 3134; skipping update. +2025-10-31 16:38:22,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:22,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:22,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:22,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:22,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.73, mean=0.02563, std=3.461, absmax=13.73 +2025-10-31 16:38:22,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.38, mean=-0.02928, std=3.039, absmax=11.38 +2025-10-31 16:38:23,075 ERROR: Encountered non-finite generator loss at iter 3135; skipping update. +2025-10-31 16:38:23,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:23,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:23,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=9.944, mean=-0.2101, std=2.401, absmax=11.42 +2025-10-31 16:38:23,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=7.291, mean=-0.2316, std=2.131, absmax=9.147 +2025-10-31 16:38:23,596 ERROR: Encountered non-finite generator loss at iter 3136; skipping update. +2025-10-31 16:38:23,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:23,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:23,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:23,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:23,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.59, mean=-0.03215, std=3.013, absmax=13.13 +2025-10-31 16:38:23,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.754, max=10.72, mean=-0.06309, std=2.393, absmax=10.72 +2025-10-31 16:38:24,099 ERROR: Encountered non-finite generator loss at iter 3137; skipping update. +2025-10-31 16:38:24,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:24,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:24,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.16, mean=-0.1196, std=2.881, absmax=14.5 +2025-10-31 16:38:24,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=11.62, mean=-0.1775, std=2.414, absmax=12.3 +2025-10-31 16:38:24,599 ERROR: Encountered non-finite generator loss at iter 3138; skipping update. +2025-10-31 16:38:24,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:24,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:24,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:24,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:24,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.87, mean=-0.1723, std=3.155, absmax=13.87 +2025-10-31 16:38:24,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.989, mean=-0.1771, std=2.536, absmax=10.77 +2025-10-31 16:38:25,100 ERROR: Encountered non-finite generator loss at iter 3139; skipping update. +2025-10-31 16:38:25,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:25,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:25,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=13.23, mean=-0.1736, std=2.753, absmax=13.23 +2025-10-31 16:38:25,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.107, mean=-0.1757, std=2.355, absmax=10.27 +2025-10-31 16:38:25,602 ERROR: Encountered non-finite generator loss at iter 3140; skipping update. +2025-10-31 16:38:25,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:25,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:25,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:25,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:25,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=10.98, mean=-0.2489, std=2.356, absmax=12.35 +2025-10-31 16:38:25,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=8.327, mean=-0.2835, std=2.193, absmax=11.21 +2025-10-31 16:38:26,103 ERROR: Encountered non-finite generator loss at iter 3141; skipping update. +2025-10-31 16:38:26,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:26,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:26,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=15.29, mean=0.2854, std=3.751, absmax=15.29 +2025-10-31 16:38:26,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=12.11, mean=0.1875, std=3.099, absmax=12.11 +2025-10-31 16:38:26,604 ERROR: Encountered non-finite generator loss at iter 3142; skipping update. +2025-10-31 16:38:26,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:26,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:26,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:26,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:26,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=15.16, mean=0.1971, std=3.425, absmax=15.16 +2025-10-31 16:38:26,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=14.82, mean=0.2293, std=3.272, absmax=14.82 +2025-10-31 16:38:27,105 ERROR: Encountered non-finite generator loss at iter 3143; skipping update. +2025-10-31 16:38:27,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:27,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:27,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.42, mean=-0.09291, std=3.119, absmax=13.72 +2025-10-31 16:38:27,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.306, mean=-0.1227, std=2.551, absmax=10.77 +2025-10-31 16:38:27,606 ERROR: Encountered non-finite generator loss at iter 3144; skipping update. +2025-10-31 16:38:27,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,608 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:27,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:27,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:27,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:27,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.29, mean=-0.2408, std=3.128, absmax=14.29 +2025-10-31 16:38:27,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=10.04, mean=-0.1863, std=2.546, absmax=10.6 +2025-10-31 16:38:28,107 ERROR: Encountered non-finite generator loss at iter 3145; skipping update. +2025-10-31 16:38:28,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:28,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:28,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.91, mean=-0.05217, std=2.935, absmax=13.67 +2025-10-31 16:38:28,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=9.18, mean=-0.04655, std=2.432, absmax=13.19 +2025-10-31 16:38:28,604 ERROR: Encountered non-finite generator loss at iter 3146; skipping update. +2025-10-31 16:38:28,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:28,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:28,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:28,611 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:28,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.75, mean=-0.07497, std=3.014, absmax=12.75 +2025-10-31 16:38:28,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.689, max=10.48, mean=-0.06858, std=2.547, absmax=10.48 +2025-10-31 16:38:29,104 ERROR: Encountered non-finite generator loss at iter 3147; skipping update. +2025-10-31 16:38:29,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:29,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:29,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.63, mean=-0.1802, std=2.889, absmax=11.88 +2025-10-31 16:38:29,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.845, max=9.163, mean=-0.2267, std=2.313, absmax=9.163 +2025-10-31 16:38:29,605 ERROR: Encountered non-finite generator loss at iter 3148; skipping update. +2025-10-31 16:38:29,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,608 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:29,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:29,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:29,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:29,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.12, mean=4.143e-06, std=3.611, absmax=13.74 +2025-10-31 16:38:29,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=12.7, mean=0.0173, std=3.117, absmax=12.7 +2025-10-31 16:38:30,106 ERROR: Encountered non-finite generator loss at iter 3149; skipping update. +2025-10-31 16:38:30,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:30,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:30,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.39, mean=-0.2245, std=2.829, absmax=13.39 +2025-10-31 16:38:30,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.415, max=8.95, mean=-0.2145, std=2.193, absmax=9.415 +2025-10-31 16:38:30,606 ERROR: Encountered non-finite generator loss at iter 3150; skipping update. +2025-10-31 16:38:30,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:30,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:30,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:30,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:30,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=14.25, mean=-0.1652, std=2.709, absmax=14.25 +2025-10-31 16:38:30,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.658, max=10.54, mean=-0.1667, std=2.203, absmax=10.54 +2025-10-31 16:38:31,107 ERROR: Encountered non-finite generator loss at iter 3151; skipping update. +2025-10-31 16:38:31,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:31,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:31,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.94, mean=-0.1131, std=3.323, absmax=13.96 +2025-10-31 16:38:31,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=10.67, mean=-0.1153, std=2.886, absmax=11.85 +2025-10-31 16:38:31,607 ERROR: Encountered non-finite generator loss at iter 3152; skipping update. +2025-10-31 16:38:31,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:31,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:31,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:31,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:31,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.04, max=13.27, mean=-0.1561, std=2.812, absmax=16.04 +2025-10-31 16:38:31,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.168, max=8.897, mean=-0.174, std=2.242, absmax=9.168 +2025-10-31 16:38:32,108 ERROR: Encountered non-finite generator loss at iter 3153; skipping update. +2025-10-31 16:38:32,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:32,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:32,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=11.07, mean=-0.2828, std=2.533, absmax=11.12 +2025-10-31 16:38:32,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.33, max=7.981, mean=-0.2974, std=2.22, absmax=9.33 +2025-10-31 16:38:32,607 ERROR: Encountered non-finite generator loss at iter 3154; skipping update. +2025-10-31 16:38:32,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:32,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:32,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:32,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:32,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=10.6, mean=-0.346, std=2.592, absmax=13.81 +2025-10-31 16:38:32,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=7.896, mean=-0.2879, std=2.291, absmax=10.19 +2025-10-31 16:38:33,107 ERROR: Encountered non-finite generator loss at iter 3155; skipping update. +2025-10-31 16:38:33,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:33,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:33,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=12.71, mean=-0.2806, std=3.169, absmax=13.9 +2025-10-31 16:38:33,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.84, mean=-0.2576, std=2.808, absmax=10.84 +2025-10-31 16:38:33,608 ERROR: Encountered non-finite generator loss at iter 3156; skipping update. +2025-10-31 16:38:33,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:33,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:33,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:33,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:33,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.7, mean=-0.07101, std=2.587, absmax=11.96 +2025-10-31 16:38:33,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.857, max=9.584, mean=-0.1008, std=2.193, absmax=9.584 +2025-10-31 16:38:34,108 ERROR: Encountered non-finite generator loss at iter 3157; skipping update. +2025-10-31 16:38:34,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:34,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:34,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=18.73, mean=0.02187, std=3.32, absmax=18.73 +2025-10-31 16:38:34,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.764, max=12.78, mean=0.01259, std=2.5, absmax=12.78 +2025-10-31 16:38:34,608 ERROR: Encountered non-finite generator loss at iter 3158; skipping update. +2025-10-31 16:38:34,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:34,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:34,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:34,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:34,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=10.88, mean=-0.1155, std=2.906, absmax=11.55 +2025-10-31 16:38:34,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.059, max=9.19, mean=-0.1506, std=2.465, absmax=9.19 +2025-10-31 16:38:35,107 ERROR: Encountered non-finite generator loss at iter 3159; skipping update. +2025-10-31 16:38:35,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:35,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:35,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.49, mean=-0.08638, std=2.986, absmax=12.83 +2025-10-31 16:38:35,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.847, max=10.63, mean=-0.1126, std=2.435, absmax=10.63 +2025-10-31 16:38:35,607 ERROR: Encountered non-finite generator loss at iter 3160; skipping update. +2025-10-31 16:38:35,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:35,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:35,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:35,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:35,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=13.75, mean=-0.1569, std=2.736, absmax=13.75 +2025-10-31 16:38:35,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.997, max=10.89, mean=-0.1262, std=2.3, absmax=10.89 +2025-10-31 16:38:36,108 ERROR: Encountered non-finite generator loss at iter 3161; skipping update. +2025-10-31 16:38:36,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:36,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:36,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.88, mean=-0.06599, std=3.118, absmax=14.88 +2025-10-31 16:38:36,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=11.7, mean=-0.05734, std=2.603, absmax=11.7 +2025-10-31 16:38:36,608 ERROR: Encountered non-finite generator loss at iter 3162; skipping update. +2025-10-31 16:38:36,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:36,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:36,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:36,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:36,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15.39, mean=-0.311, std=3.004, absmax=15.39 +2025-10-31 16:38:36,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.83, max=10.66, mean=-0.3245, std=2.369, absmax=10.66 +2025-10-31 16:38:37,109 ERROR: Encountered non-finite generator loss at iter 3163; skipping update. +2025-10-31 16:38:37,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:37,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:37,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.7, mean=-0.2418, std=2.852, absmax=12.7 +2025-10-31 16:38:37,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=8.968, mean=-0.2265, std=2.38, absmax=10.11 +2025-10-31 16:38:37,611 ERROR: Encountered non-finite generator loss at iter 3164; skipping update. +2025-10-31 16:38:37,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:37,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:37,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:37,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:37,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=15.04, mean=-0.3903, std=3.78, absmax=15.04 +2025-10-31 16:38:37,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=11.69, mean=-0.3471, std=3.151, absmax=11.69 +2025-10-31 16:38:38,119 ERROR: Encountered non-finite generator loss at iter 3165; skipping update. +2025-10-31 16:38:38,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:38,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:38,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.39, mean=-0.05418, std=3.019, absmax=14.39 +2025-10-31 16:38:38,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=11.29, mean=-0.08696, std=2.365, absmax=11.29 +2025-10-31 16:38:38,621 ERROR: Encountered non-finite generator loss at iter 3166; skipping update. +2025-10-31 16:38:38,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:38,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:38,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:38,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:38,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.02, mean=-0.134, std=3.268, absmax=13.16 +2025-10-31 16:38:38,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.7, mean=-0.1543, std=2.784, absmax=10.7 +2025-10-31 16:38:39,123 ERROR: Encountered non-finite generator loss at iter 3167; skipping update. +2025-10-31 16:38:39,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:39,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:39,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.44, max=10.57, mean=-0.08627, std=2.43, absmax=10.57 +2025-10-31 16:38:39,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.118, max=8.184, mean=-0.09443, std=2.142, absmax=9.118 +2025-10-31 16:38:39,623 ERROR: Encountered non-finite generator loss at iter 3168; skipping update. +2025-10-31 16:38:39,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:39,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:39,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:39,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:39,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.76, mean=-0.1708, std=2.62, absmax=11.76 +2025-10-31 16:38:39,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.014, max=9.157, mean=-0.1449, std=2.225, absmax=9.157 +2025-10-31 16:38:40,126 ERROR: Encountered non-finite generator loss at iter 3169; skipping update. +2025-10-31 16:38:40,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:40,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:40,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.59, mean=-0.1721, std=3.077, absmax=13.47 +2025-10-31 16:38:40,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=10.79, mean=-0.1695, std=2.602, absmax=10.79 +2025-10-31 16:38:40,626 ERROR: Encountered non-finite generator loss at iter 3170; skipping update. +2025-10-31 16:38:40,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:40,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:40,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:40,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:40,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.51, mean=-0.2973, std=3.046, absmax=14.51 +2025-10-31 16:38:40,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.618, mean=-0.3111, std=2.565, absmax=10.08 +2025-10-31 16:38:41,128 ERROR: Encountered non-finite generator loss at iter 3171; skipping update. +2025-10-31 16:38:41,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:41,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:41,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=10.79, mean=-0.1354, std=2.824, absmax=13.28 +2025-10-31 16:38:41,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.718, mean=-0.1419, std=2.407, absmax=10.88 +2025-10-31 16:38:41,630 ERROR: Encountered non-finite generator loss at iter 3172; skipping update. +2025-10-31 16:38:41,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:41,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:41,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:41,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:41,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=10.84, mean=-0.3114, std=2.608, absmax=10.84 +2025-10-31 16:38:41,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=9.123, mean=-0.2861, std=2.167, absmax=9.442 +2025-10-31 16:38:42,132 ERROR: Encountered non-finite generator loss at iter 3173; skipping update. +2025-10-31 16:38:42,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:42,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:42,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.57, mean=-0.1732, std=3.455, absmax=13.83 +2025-10-31 16:38:42,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=11.12, mean=-0.1908, std=2.883, absmax=11.12 +2025-10-31 16:38:42,632 ERROR: Encountered non-finite generator loss at iter 3174; skipping update. +2025-10-31 16:38:42,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:42,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:42,637 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:42,638 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:42,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.15, mean=0.09103, std=3.404, absmax=13.15 +2025-10-31 16:38:42,640 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=11.48, mean=0.05893, std=2.99, absmax=11.48 +2025-10-31 16:38:43,132 ERROR: Encountered non-finite generator loss at iter 3175; skipping update. +2025-10-31 16:38:43,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:43,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:43,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.77, mean=-0.2538, std=2.942, absmax=13.77 +2025-10-31 16:38:43,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=9.781, mean=-0.2158, std=2.382, absmax=11.23 +2025-10-31 16:38:43,634 ERROR: Encountered non-finite generator loss at iter 3176; skipping update. +2025-10-31 16:38:43,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:43,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:43,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:43,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:43,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.91, mean=-0.2193, std=2.887, absmax=12.91 +2025-10-31 16:38:43,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.68, mean=-0.2181, std=2.47, absmax=11.83 +2025-10-31 16:38:44,135 ERROR: Encountered non-finite generator loss at iter 3177; skipping update. +2025-10-31 16:38:44,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:44,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:44,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.84, mean=0.01113, std=3.066, absmax=13.84 +2025-10-31 16:38:44,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.621, max=8.271, mean=-0.00136, std=2.416, absmax=9.621 +2025-10-31 16:38:44,637 ERROR: Encountered non-finite generator loss at iter 3178; skipping update. +2025-10-31 16:38:44,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:44,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:44,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:44,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:44,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.74, mean=-0.1488, std=3.978, absmax=14.08 +2025-10-31 16:38:44,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=12.49, mean=-0.1752, std=3.338, absmax=12.49 +2025-10-31 16:38:45,137 ERROR: Encountered non-finite generator loss at iter 3179; skipping update. +2025-10-31 16:38:45,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:45,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:45,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.48, mean=0.1092, std=4.026, absmax=13.57 +2025-10-31 16:38:45,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=11.66, mean=0.0569, std=3.432, absmax=11.66 +2025-10-31 16:38:45,637 ERROR: Encountered non-finite generator loss at iter 3180; skipping update. +2025-10-31 16:38:45,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:45,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:45,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:45,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:45,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.32, mean=-0.2236, std=2.791, absmax=12 +2025-10-31 16:38:45,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=7.694, mean=-0.2706, std=2.336, absmax=10.73 +2025-10-31 16:38:46,135 ERROR: Encountered non-finite generator loss at iter 3181; skipping update. +2025-10-31 16:38:46,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:46,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:46,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=16.71, mean=-0.2287, std=2.337, absmax=16.71 +2025-10-31 16:38:46,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=11.36, mean=-0.1909, std=2.133, absmax=11.36 +2025-10-31 16:38:46,635 ERROR: Encountered non-finite generator loss at iter 3182; skipping update. +2025-10-31 16:38:46,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:46,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:46,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:46,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:46,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.41, mean=-0.07586, std=3.145, absmax=13.42 +2025-10-31 16:38:46,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.925, max=11.1, mean=-0.1344, std=2.58, absmax=11.1 +2025-10-31 16:38:47,137 ERROR: Encountered non-finite generator loss at iter 3183; skipping update. +2025-10-31 16:38:47,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:47,140 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:47,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=11.38, mean=-0.2977, std=3.744, absmax=16.16 +2025-10-31 16:38:47,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.59, max=9.57, mean=-0.2606, std=3.24, absmax=12.59 +2025-10-31 16:38:47,635 ERROR: Encountered non-finite generator loss at iter 3184; skipping update. +2025-10-31 16:38:47,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:47,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:47,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:47,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:47,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=12.7, mean=-0.245, std=3.119, absmax=15.75 +2025-10-31 16:38:47,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.05, mean=-0.1999, std=2.606, absmax=11.74 +2025-10-31 16:38:48,137 ERROR: Encountered non-finite generator loss at iter 3185; skipping update. +2025-10-31 16:38:48,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:48,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:48,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.4, mean=-0.2297, std=2.843, absmax=13.4 +2025-10-31 16:38:48,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=9.703, mean=-0.2184, std=2.438, absmax=12.27 +2025-10-31 16:38:48,639 ERROR: Encountered non-finite generator loss at iter 3186; skipping update. +2025-10-31 16:38:48,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:48,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:48,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:48,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:48,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.83, mean=-0.2332, std=3.165, absmax=14.83 +2025-10-31 16:38:48,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.933, mean=-0.228, std=2.383, absmax=10.46 +2025-10-31 16:38:49,140 ERROR: Encountered non-finite generator loss at iter 3187; skipping update. +2025-10-31 16:38:49,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:49,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:49,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=13.62, mean=-0.276, std=3.285, absmax=15.27 +2025-10-31 16:38:49,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.731, mean=-0.2768, std=2.639, absmax=11.89 +2025-10-31 16:38:49,640 ERROR: Encountered non-finite generator loss at iter 3188; skipping update. +2025-10-31 16:38:49,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:49,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:49,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:49,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:49,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.58, mean=0.1424, std=3.862, absmax=14.58 +2025-10-31 16:38:49,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.48, mean=0.05346, std=3.071, absmax=12.48 +2025-10-31 16:38:50,144 ERROR: Encountered non-finite generator loss at iter 3189; skipping update. +2025-10-31 16:38:50,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:50,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:50,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=17.77, mean=-0.2495, std=2.974, absmax=17.77 +2025-10-31 16:38:50,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.714, max=11.47, mean=-0.2464, std=2.403, absmax=11.47 +2025-10-31 16:38:50,644 ERROR: Encountered non-finite generator loss at iter 3190; skipping update. +2025-10-31 16:38:50,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:50,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:50,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:50,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:50,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=12.35, mean=-0.3129, std=2.871, absmax=14.48 +2025-10-31 16:38:50,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=8.243, mean=-0.2754, std=2.496, absmax=10.66 +2025-10-31 16:38:51,144 ERROR: Encountered non-finite generator loss at iter 3191; skipping update. +2025-10-31 16:38:51,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,149 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:51,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:51,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=15.44, mean=-0.07461, std=2.923, absmax=15.44 +2025-10-31 16:38:51,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.136, max=8.96, mean=-0.1327, std=2.382, absmax=9.136 +2025-10-31 16:38:51,643 ERROR: Encountered non-finite generator loss at iter 3192; skipping update. +2025-10-31 16:38:51,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,645 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:51,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:51,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:51,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:51,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.27, max=11.03, mean=-0.1796, std=2.42, absmax=11.03 +2025-10-31 16:38:51,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.954, max=9.184, mean=-0.1449, std=2.279, absmax=9.954 +2025-10-31 16:38:52,141 ERROR: Encountered non-finite generator loss at iter 3193; skipping update. +2025-10-31 16:38:52,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:52,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:52,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.6, mean=0.154, std=3.096, absmax=13.6 +2025-10-31 16:38:52,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.65, max=11.4, mean=0.08073, std=2.416, absmax=11.4 +2025-10-31 16:38:52,642 ERROR: Encountered non-finite generator loss at iter 3194; skipping update. +2025-10-31 16:38:52,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:52,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:52,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:52,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:52,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.67, mean=0.004253, std=3.362, absmax=13.67 +2025-10-31 16:38:52,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.653, max=12.24, mean=-0.02574, std=2.796, absmax=12.24 +2025-10-31 16:38:53,142 ERROR: Encountered non-finite generator loss at iter 3195; skipping update. +2025-10-31 16:38:53,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:53,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:53,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.22, mean=-0.225, std=2.61, absmax=12.36 +2025-10-31 16:38:53,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.888, max=7.938, mean=-0.2192, std=2.3, absmax=9.888 +2025-10-31 16:38:53,641 ERROR: Encountered non-finite generator loss at iter 3196; skipping update. +2025-10-31 16:38:53,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:53,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:53,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:53,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:53,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.24, mean=-0.02825, std=3.192, absmax=12.24 +2025-10-31 16:38:53,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=10.51, mean=-0.06681, std=2.626, absmax=10.89 +2025-10-31 16:38:54,140 ERROR: Encountered non-finite generator loss at iter 3197; skipping update. +2025-10-31 16:38:54,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:54,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:54,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=10.37, mean=-0.11, std=2.714, absmax=13.39 +2025-10-31 16:38:54,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=8.998, mean=-0.1674, std=2.617, absmax=11.13 +2025-10-31 16:38:54,642 ERROR: Encountered non-finite generator loss at iter 3198; skipping update. +2025-10-31 16:38:54,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:54,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:54,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:54,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:54,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.13, mean=-0.03594, std=3.016, absmax=13.13 +2025-10-31 16:38:54,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.078, mean=-0.005512, std=2.475, absmax=10.65 +2025-10-31 16:38:55,141 ERROR: Encountered non-finite generator loss at iter 3199; skipping update. +2025-10-31 16:38:55,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,149 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:55,150 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:55,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.26, mean=-0.1597, std=2.798, absmax=11.76 +2025-10-31 16:38:55,152 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=8.863, mean=-0.1742, std=2.401, absmax=10.22 +2025-10-31 16:38:55,643 ERROR: Encountered non-finite generator loss at iter 3200; skipping update. +2025-10-31 16:38:55,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:55,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:55,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:55,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:55,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.27, mean=-0.007796, std=3.115, absmax=12.27 +2025-10-31 16:38:55,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.782, max=10.34, mean=-0.009809, std=2.65, absmax=10.34 +2025-10-31 16:38:55,654 INFO: [29..][epoch: 0, step: 3,200, lr:(1.500e-04,)] [eta: 1 day, 20:51:57, time (data): 0.502 (0.000)] +2025-10-31 16:38:56,145 ERROR: Encountered non-finite generator loss at iter 3201; skipping update. +2025-10-31 16:38:56,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:56,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:56,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.22, mean=-0.1572, std=3.283, absmax=12.22 +2025-10-31 16:38:56,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.501, max=10.17, mean=-0.1173, std=2.725, absmax=10.17 +2025-10-31 16:38:56,645 ERROR: Encountered non-finite generator loss at iter 3202; skipping update. +2025-10-31 16:38:56,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:56,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:56,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:56,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:56,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.77, mean=-0.2224, std=2.76, absmax=13.52 +2025-10-31 16:38:56,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.617, mean=-0.2441, std=2.357, absmax=10.57 +2025-10-31 16:38:57,145 ERROR: Encountered non-finite generator loss at iter 3203; skipping update. +2025-10-31 16:38:57,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:57,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:57,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.63, mean=-0.1906, std=3.044, absmax=12.26 +2025-10-31 16:38:57,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.13, mean=-0.2291, std=2.551, absmax=11.13 +2025-10-31 16:38:57,645 ERROR: Encountered non-finite generator loss at iter 3204; skipping update. +2025-10-31 16:38:57,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:57,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:57,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:57,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:57,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.47, mean=-0.1032, std=2.917, absmax=13.81 +2025-10-31 16:38:57,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.797, max=9.762, mean=-0.11, std=2.407, absmax=9.797 +2025-10-31 16:38:58,145 ERROR: Encountered non-finite generator loss at iter 3205; skipping update. +2025-10-31 16:38:58,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:58,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:58,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.88, mean=-0.2149, std=2.408, absmax=11.88 +2025-10-31 16:38:58,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.873, max=8.138, mean=-0.2248, std=1.999, absmax=8.138 +2025-10-31 16:38:58,644 ERROR: Encountered non-finite generator loss at iter 3206; skipping update. +2025-10-31 16:38:58,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:58,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:58,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:58,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:58,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.09, mean=-0.07865, std=2.983, absmax=13.09 +2025-10-31 16:38:58,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.818, max=9.508, mean=-0.1077, std=2.39, absmax=9.818 +2025-10-31 16:38:59,143 ERROR: Encountered non-finite generator loss at iter 3207; skipping update. +2025-10-31 16:38:59,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:59,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:59,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.08, mean=-0.05818, std=3.289, absmax=14.08 +2025-10-31 16:38:59,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.816, max=11.63, mean=-0.1123, std=2.676, absmax=11.63 +2025-10-31 16:38:59,644 ERROR: Encountered non-finite generator loss at iter 3208; skipping update. +2025-10-31 16:38:59,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:38:59,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:38:59,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:38:59,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:38:59,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=14.02, mean=-0.2157, std=3.394, absmax=14.55 +2025-10-31 16:38:59,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.92, mean=-0.1981, std=2.69, absmax=11.92 +2025-10-31 16:39:00,144 ERROR: Encountered non-finite generator loss at iter 3209; skipping update. +2025-10-31 16:39:00,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:00,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:00,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.68, mean=-0.1747, std=3.243, absmax=12.72 +2025-10-31 16:39:00,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=11.49, mean=-0.1418, std=2.819, absmax=11.49 +2025-10-31 16:39:00,641 ERROR: Encountered non-finite generator loss at iter 3210; skipping update. +2025-10-31 16:39:00,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:00,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:00,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:00,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:00,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=16.18, mean=-0.06401, std=3.699, absmax=16.18 +2025-10-31 16:39:00,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.28, max=14.82, mean=-0.06266, std=3.219, absmax=14.82 +2025-10-31 16:39:01,142 ERROR: Encountered non-finite generator loss at iter 3211; skipping update. +2025-10-31 16:39:01,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:01,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:01,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.28, mean=-0.1939, std=3.243, absmax=14.28 +2025-10-31 16:39:01,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.42, max=9.727, mean=-0.1756, std=2.632, absmax=9.727 +2025-10-31 16:39:01,643 ERROR: Encountered non-finite generator loss at iter 3212; skipping update. +2025-10-31 16:39:01,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,645 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:01,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:01,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:01,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:01,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.4, mean=-0.1681, std=2.869, absmax=12.67 +2025-10-31 16:39:01,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=8.916, mean=-0.1989, std=2.55, absmax=11.23 +2025-10-31 16:39:02,142 ERROR: Encountered non-finite generator loss at iter 3213; skipping update. +2025-10-31 16:39:02,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:02,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:02,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=11.32, mean=-0.09032, std=2.836, absmax=11.44 +2025-10-31 16:39:02,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.524, max=7.696, mean=-0.1268, std=2.312, absmax=9.524 +2025-10-31 16:39:02,643 ERROR: Encountered non-finite generator loss at iter 3214; skipping update. +2025-10-31 16:39:02,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:02,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:02,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:02,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:02,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12, mean=-0.2576, std=2.722, absmax=12 +2025-10-31 16:39:02,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.565, max=9.676, mean=-0.2275, std=2.288, absmax=9.676 +2025-10-31 16:39:03,144 ERROR: Encountered non-finite generator loss at iter 3215; skipping update. +2025-10-31 16:39:03,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:03,150 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:03,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.6, mean=0.01222, std=3.64, absmax=15.6 +2025-10-31 16:39:03,152 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=14.7, mean=0.04506, std=3.268, absmax=14.7 +2025-10-31 16:39:03,644 ERROR: Encountered non-finite generator loss at iter 3216; skipping update. +2025-10-31 16:39:03,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:03,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:03,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:03,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:03,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.57, mean=-0.2942, std=2.816, absmax=12.54 +2025-10-31 16:39:03,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=8.706, mean=-0.2424, std=2.49, absmax=10.68 +2025-10-31 16:39:04,145 ERROR: Encountered non-finite generator loss at iter 3217; skipping update. +2025-10-31 16:39:04,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,149 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:04,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:04,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.36, mean=0.2551, std=3.607, absmax=14.36 +2025-10-31 16:39:04,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.926, max=12.22, mean=0.2735, std=3.101, absmax=12.22 +2025-10-31 16:39:04,645 ERROR: Encountered non-finite generator loss at iter 3218; skipping update. +2025-10-31 16:39:04,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:04,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:04,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:04,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:04,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=15.18, mean=0.07453, std=3.458, absmax=15.23 +2025-10-31 16:39:04,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=12.4, mean=0.1069, std=2.844, absmax=12.4 +2025-10-31 16:39:05,152 ERROR: Encountered non-finite generator loss at iter 3219; skipping update. +2025-10-31 16:39:05,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,155 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:05,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:05,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.43, mean=-0.3066, std=2.612, absmax=14.43 +2025-10-31 16:39:05,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.907, max=10.35, mean=-0.3086, std=2.187, absmax=10.35 +2025-10-31 16:39:05,655 ERROR: Encountered non-finite generator loss at iter 3220; skipping update. +2025-10-31 16:39:05,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,657 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:05,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:05,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:05,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:05,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.35, mean=-0.2023, std=2.892, absmax=15.35 +2025-10-31 16:39:05,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.708, max=11.09, mean=-0.1733, std=2.284, absmax=11.09 +2025-10-31 16:39:06,156 ERROR: Encountered non-finite generator loss at iter 3221; skipping update. +2025-10-31 16:39:06,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:06,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:06,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.17, mean=-0.1224, std=3.062, absmax=15.17 +2025-10-31 16:39:06,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.828, mean=-0.1009, std=2.448, absmax=10.3 +2025-10-31 16:39:06,660 ERROR: Encountered non-finite generator loss at iter 3222; skipping update. +2025-10-31 16:39:06,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:06,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:06,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:06,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:06,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.48, mean=-0.3509, std=3.204, absmax=13.48 +2025-10-31 16:39:06,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=10.06, mean=-0.3581, std=2.638, absmax=11.17 +2025-10-31 16:39:07,163 ERROR: Encountered non-finite generator loss at iter 3223; skipping update. +2025-10-31 16:39:07,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:07,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:07,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.51, mean=-0.09089, std=2.793, absmax=12.51 +2025-10-31 16:39:07,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.193, max=9.268, mean=-0.1197, std=2.221, absmax=9.268 +2025-10-31 16:39:07,667 ERROR: Encountered non-finite generator loss at iter 3224; skipping update. +2025-10-31 16:39:07,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:07,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:07,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:07,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:07,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=11.74, mean=-0.2205, std=3.241, absmax=14.6 +2025-10-31 16:39:07,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=8.603, mean=-0.2276, std=2.761, absmax=11.8 +2025-10-31 16:39:08,169 ERROR: Encountered non-finite generator loss at iter 3225; skipping update. +2025-10-31 16:39:08,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:08,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:08,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.06, mean=-0.187, std=2.916, absmax=12.06 +2025-10-31 16:39:08,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.456, max=7.986, mean=-0.2187, std=2.402, absmax=9.456 +2025-10-31 16:39:08,675 ERROR: Encountered non-finite generator loss at iter 3226; skipping update. +2025-10-31 16:39:08,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:08,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:08,682 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:08,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:08,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.993, max=12.44, mean=-0.1983, std=2.242, absmax=12.44 +2025-10-31 16:39:08,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.734, max=11.67, mean=-0.1998, std=2.106, absmax=11.67 +2025-10-31 16:39:09,180 ERROR: Encountered non-finite generator loss at iter 3227; skipping update. +2025-10-31 16:39:09,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:09,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:09,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=10.94, mean=-0.3297, std=2.76, absmax=12.98 +2025-10-31 16:39:09,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=7.606, mean=-0.3048, std=2.288, absmax=10.45 +2025-10-31 16:39:09,685 ERROR: Encountered non-finite generator loss at iter 3228; skipping update. +2025-10-31 16:39:09,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:09,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:09,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:09,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:09,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=15.24, mean=-0.1179, std=3.01, absmax=15.24 +2025-10-31 16:39:09,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=11.97, mean=-0.1449, std=2.562, absmax=11.97 +2025-10-31 16:39:10,189 ERROR: Encountered non-finite generator loss at iter 3229; skipping update. +2025-10-31 16:39:10,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:10,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:10,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.01, mean=-0.1123, std=3.28, absmax=14.11 +2025-10-31 16:39:10,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.04, mean=-0.1753, std=2.671, absmax=11.25 +2025-10-31 16:39:10,692 ERROR: Encountered non-finite generator loss at iter 3230; skipping update. +2025-10-31 16:39:10,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,695 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:10,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:10,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:10,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:10,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.22, max=11.96, mean=-0.2155, std=3.185, absmax=17.22 +2025-10-31 16:39:10,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.377, mean=-0.2418, std=2.638, absmax=10.77 +2025-10-31 16:39:11,197 ERROR: Encountered non-finite generator loss at iter 3231; skipping update. +2025-10-31 16:39:11,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:11,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:11,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.47, mean=-0.04923, std=2.993, absmax=14.47 +2025-10-31 16:39:11,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.613, max=11.17, mean=-0.06582, std=2.44, absmax=11.17 +2025-10-31 16:39:11,701 ERROR: Encountered non-finite generator loss at iter 3232; skipping update. +2025-10-31 16:39:11,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:11,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:11,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:11,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:11,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.45, mean=-0.2857, std=2.868, absmax=13.89 +2025-10-31 16:39:11,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=11.16, mean=-0.2976, std=2.418, absmax=11.16 +2025-10-31 16:39:12,207 ERROR: Encountered non-finite generator loss at iter 3233; skipping update. +2025-10-31 16:39:12,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:12,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:12,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.75, mean=-0.1675, std=3.462, absmax=14.75 +2025-10-31 16:39:12,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=14.16, mean=-0.1338, std=2.945, absmax=14.16 +2025-10-31 16:39:12,713 ERROR: Encountered non-finite generator loss at iter 3234; skipping update. +2025-10-31 16:39:12,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:12,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:12,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:12,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:12,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.86, mean=-0.1779, std=2.524, absmax=11.29 +2025-10-31 16:39:12,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.559, max=7.955, mean=-0.1558, std=2.06, absmax=8.559 +2025-10-31 16:39:13,218 ERROR: Encountered non-finite generator loss at iter 3235; skipping update. +2025-10-31 16:39:13,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,221 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:13,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:13,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.98, mean=-0.2729, std=3.607, absmax=13.98 +2025-10-31 16:39:13,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=12.54, mean=-0.2238, std=3.061, absmax=12.54 +2025-10-31 16:39:13,722 ERROR: Encountered non-finite generator loss at iter 3236; skipping update. +2025-10-31 16:39:13,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:13,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:13,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:13,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:13,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=13.52, mean=-0.06068, std=2.508, absmax=13.52 +2025-10-31 16:39:13,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.898, max=9.543, mean=-0.09615, std=2.14, absmax=9.543 +2025-10-31 16:39:14,225 ERROR: Encountered non-finite generator loss at iter 3237; skipping update. +2025-10-31 16:39:14,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:14,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:14,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.54, mean=0.02384, std=3.258, absmax=13.54 +2025-10-31 16:39:14,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=11.41, mean=-0.03817, std=2.822, absmax=11.41 +2025-10-31 16:39:14,730 ERROR: Encountered non-finite generator loss at iter 3238; skipping update. +2025-10-31 16:39:14,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:14,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:14,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:14,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:14,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.65, mean=-0.1569, std=3.04, absmax=12.65 +2025-10-31 16:39:14,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.694, max=9.865, mean=-0.1594, std=2.427, absmax=9.865 +2025-10-31 16:39:15,236 ERROR: Encountered non-finite generator loss at iter 3239; skipping update. +2025-10-31 16:39:15,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:15,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:15,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=14.17, mean=-0.2517, std=3.423, absmax=14.17 +2025-10-31 16:39:15,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.94, mean=-0.2961, std=2.856, absmax=10.94 +2025-10-31 16:39:15,742 ERROR: Encountered non-finite generator loss at iter 3240; skipping update. +2025-10-31 16:39:15,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:15,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:15,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:15,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:15,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.79, mean=-0.1096, std=2.945, absmax=13.79 +2025-10-31 16:39:15,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.38, mean=-0.1559, std=2.368, absmax=10.38 +2025-10-31 16:39:16,248 ERROR: Encountered non-finite generator loss at iter 3241; skipping update. +2025-10-31 16:39:16,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:16,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:16,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.77, mean=-0.1797, std=3.274, absmax=13.23 +2025-10-31 16:39:16,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=10.21, mean=-0.2092, std=2.73, absmax=10.21 +2025-10-31 16:39:16,754 ERROR: Encountered non-finite generator loss at iter 3242; skipping update. +2025-10-31 16:39:16,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:16,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:16,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:16,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:16,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.64, mean=-0.2039, std=2.856, absmax=13.64 +2025-10-31 16:39:16,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=10.72, mean=-0.1842, std=2.565, absmax=12.16 +2025-10-31 16:39:17,257 ERROR: Encountered non-finite generator loss at iter 3243; skipping update. +2025-10-31 16:39:17,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:17,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:17,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.47, max=15.84, mean=0.1618, std=3.021, absmax=15.84 +2025-10-31 16:39:17,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.811, max=8.546, mean=0.04311, std=2.414, absmax=8.546 +2025-10-31 16:39:17,761 ERROR: Encountered non-finite generator loss at iter 3244; skipping update. +2025-10-31 16:39:17,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:17,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:17,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:17,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:17,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=15.23, mean=-0.02213, std=3.302, absmax=15.23 +2025-10-31 16:39:17,772 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11.58, mean=0.05413, std=2.949, absmax=11.58 +2025-10-31 16:39:18,267 ERROR: Encountered non-finite generator loss at iter 3245; skipping update. +2025-10-31 16:39:18,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,269 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,273 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:18,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:18,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.73, mean=-0.1498, std=2.629, absmax=12.15 +2025-10-31 16:39:18,276 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.197, max=8.354, mean=-0.1712, std=2.198, absmax=9.197 +2025-10-31 16:39:18,770 ERROR: Encountered non-finite generator loss at iter 3246; skipping update. +2025-10-31 16:39:18,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:18,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:18,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:18,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:18,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.38, mean=-0.296, std=3.274, absmax=14.03 +2025-10-31 16:39:18,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.06, max=11.91, mean=-0.241, std=2.889, absmax=13.06 +2025-10-31 16:39:19,274 ERROR: Encountered non-finite generator loss at iter 3247; skipping update. +2025-10-31 16:39:19,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:19,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:19,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=10.91, mean=-0.2909, std=2.705, absmax=11.51 +2025-10-31 16:39:19,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=7.664, mean=-0.2655, std=2.335, absmax=9.103 +2025-10-31 16:39:19,778 ERROR: Encountered non-finite generator loss at iter 3248; skipping update. +2025-10-31 16:39:19,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:19,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:19,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:19,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:19,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.73, mean=-0.2804, std=3.127, absmax=13.41 +2025-10-31 16:39:19,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=9.769, mean=-0.2625, std=2.763, absmax=11.68 +2025-10-31 16:39:20,282 ERROR: Encountered non-finite generator loss at iter 3249; skipping update. +2025-10-31 16:39:20,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:20,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:20,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=15.24, mean=-0.09874, std=3.269, absmax=15.24 +2025-10-31 16:39:20,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=11.27, mean=-0.09257, std=2.815, absmax=12.46 +2025-10-31 16:39:20,784 ERROR: Encountered non-finite generator loss at iter 3250; skipping update. +2025-10-31 16:39:20,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:20,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:20,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:20,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:20,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.89, mean=-0.3138, std=2.94, absmax=14.09 +2025-10-31 16:39:20,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=7.476, mean=-0.3341, std=2.534, absmax=11.39 +2025-10-31 16:39:21,285 ERROR: Encountered non-finite generator loss at iter 3251; skipping update. +2025-10-31 16:39:21,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:21,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:21,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.16, mean=-0.03404, std=3.209, absmax=12.69 +2025-10-31 16:39:21,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=10.89, mean=-0.0138, std=2.855, absmax=12.09 +2025-10-31 16:39:21,784 ERROR: Encountered non-finite generator loss at iter 3252; skipping update. +2025-10-31 16:39:21,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:21,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:21,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:21,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:21,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.08, mean=-0.1679, std=2.463, absmax=13.54 +2025-10-31 16:39:21,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.925, max=8.629, mean=-0.1781, std=2.12, absmax=8.629 +2025-10-31 16:39:22,284 ERROR: Encountered non-finite generator loss at iter 3253; skipping update. +2025-10-31 16:39:22,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:22,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:22,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.26, mean=-0.2848, std=2.866, absmax=14.4 +2025-10-31 16:39:22,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=12.89, mean=-0.2516, std=2.372, absmax=12.89 +2025-10-31 16:39:22,785 ERROR: Encountered non-finite generator loss at iter 3254; skipping update. +2025-10-31 16:39:22,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:22,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:22,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:22,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:22,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.5, mean=-0.2138, std=2.498, absmax=12.5 +2025-10-31 16:39:22,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=10.68, mean=-0.174, std=2.066, absmax=10.68 +2025-10-31 16:39:23,285 ERROR: Encountered non-finite generator loss at iter 3255; skipping update. +2025-10-31 16:39:23,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:23,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:23,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.72, mean=-0.1747, std=2.631, absmax=12.71 +2025-10-31 16:39:23,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.544, max=7.995, mean=-0.1653, std=2.143, absmax=9.544 +2025-10-31 16:39:23,785 ERROR: Encountered non-finite generator loss at iter 3256; skipping update. +2025-10-31 16:39:23,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:23,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:23,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:23,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:23,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=21.85, mean=0.007862, std=3.383, absmax=21.85 +2025-10-31 16:39:23,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=18.51, mean=-0.009418, std=2.888, absmax=18.51 +2025-10-31 16:39:24,286 ERROR: Encountered non-finite generator loss at iter 3257; skipping update. +2025-10-31 16:39:24,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:24,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:24,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.01, mean=-0.1525, std=2.889, absmax=12.14 +2025-10-31 16:39:24,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=8.036, mean=-0.2077, std=2.346, absmax=11.54 +2025-10-31 16:39:24,786 ERROR: Encountered non-finite generator loss at iter 3258; skipping update. +2025-10-31 16:39:24,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:24,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:24,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:24,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:24,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=10.84, mean=-0.1869, std=2.984, absmax=11.55 +2025-10-31 16:39:24,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.096, max=8.397, mean=-0.18, std=2.33, absmax=9.096 +2025-10-31 16:39:25,285 ERROR: Encountered non-finite generator loss at iter 3259; skipping update. +2025-10-31 16:39:25,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:25,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:25,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.14, mean=-0.1541, std=3.065, absmax=13.14 +2025-10-31 16:39:25,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.471, mean=-0.1925, std=2.335, absmax=10.49 +2025-10-31 16:39:25,785 ERROR: Encountered non-finite generator loss at iter 3260; skipping update. +2025-10-31 16:39:25,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:25,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:25,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:25,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:25,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.45, mean=-0.05063, std=3.367, absmax=12.45 +2025-10-31 16:39:25,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.801, max=10.43, mean=-0.0574, std=2.918, absmax=10.43 +2025-10-31 16:39:26,284 ERROR: Encountered non-finite generator loss at iter 3261; skipping update. +2025-10-31 16:39:26,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:26,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:26,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=15.23, mean=0.02648, std=3.591, absmax=15.23 +2025-10-31 16:39:26,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=14.05, mean=-0.04258, std=3.092, absmax=14.05 +2025-10-31 16:39:26,785 ERROR: Encountered non-finite generator loss at iter 3262; skipping update. +2025-10-31 16:39:26,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:26,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:26,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:26,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:26,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=14.55, mean=0.1095, std=3.47, absmax=14.55 +2025-10-31 16:39:26,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.46, mean=0.09772, std=2.901, absmax=12.46 +2025-10-31 16:39:27,291 ERROR: Encountered non-finite generator loss at iter 3263; skipping update. +2025-10-31 16:39:27,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:27,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:27,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.08, mean=-0.1191, std=2.801, absmax=13.96 +2025-10-31 16:39:27,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=8.584, mean=-0.09182, std=2.447, absmax=11.24 +2025-10-31 16:39:27,793 ERROR: Encountered non-finite generator loss at iter 3264; skipping update. +2025-10-31 16:39:27,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,796 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:27,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:27,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:27,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:27,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=16, mean=-0.2482, std=3.547, absmax=16 +2025-10-31 16:39:27,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.69, mean=-0.2254, std=2.934, absmax=11 +2025-10-31 16:39:28,295 ERROR: Encountered non-finite generator loss at iter 3265; skipping update. +2025-10-31 16:39:28,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,298 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,302 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,303 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:28,304 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:28,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.44, mean=-0.2474, std=3.034, absmax=13.23 +2025-10-31 16:39:28,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=8.604, mean=-0.2557, std=2.511, absmax=11.43 +2025-10-31 16:39:28,797 ERROR: Encountered non-finite generator loss at iter 3266; skipping update. +2025-10-31 16:39:28,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:28,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:28,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:28,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:28,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=16.15, mean=-0.3465, std=2.921, absmax=16.15 +2025-10-31 16:39:28,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.89, mean=-0.2985, std=2.511, absmax=10.89 +2025-10-31 16:39:29,297 ERROR: Encountered non-finite generator loss at iter 3267; skipping update. +2025-10-31 16:39:29,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,300 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,301 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,302 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,303 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:29,304 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:29,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=10.78, mean=-0.2601, std=2.921, absmax=13.6 +2025-10-31 16:39:29,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=9.58, mean=-0.2153, std=2.398, absmax=9.58 +2025-10-31 16:39:29,798 ERROR: Encountered non-finite generator loss at iter 3268; skipping update. +2025-10-31 16:39:29,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:29,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:29,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:29,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:29,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.41, mean=-0.1951, std=2.617, absmax=12.73 +2025-10-31 16:39:29,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.65, max=8.958, mean=-0.155, std=2.195, absmax=9.65 +2025-10-31 16:39:30,299 ERROR: Encountered non-finite generator loss at iter 3269; skipping update. +2025-10-31 16:39:30,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:30,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:30,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.47, mean=-0.1811, std=2.813, absmax=13.47 +2025-10-31 16:39:30,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.425, max=9.262, mean=-0.1941, std=2.22, absmax=9.425 +2025-10-31 16:39:30,800 ERROR: Encountered non-finite generator loss at iter 3270; skipping update. +2025-10-31 16:39:30,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,803 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:30,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:30,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:30,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:30,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.83, mean=-0.2466, std=2.9, absmax=14.83 +2025-10-31 16:39:30,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.92, mean=-0.2478, std=2.359, absmax=10.92 +2025-10-31 16:39:31,302 ERROR: Encountered non-finite generator loss at iter 3271; skipping update. +2025-10-31 16:39:31,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:31,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:31,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=11.89, mean=-0.1199, std=2.793, absmax=13.73 +2025-10-31 16:39:31,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.34, mean=-0.1429, std=2.279, absmax=10.34 +2025-10-31 16:39:31,802 ERROR: Encountered non-finite generator loss at iter 3272; skipping update. +2025-10-31 16:39:31,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:31,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:31,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:31,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:31,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.29, mean=-0.2638, std=2.948, absmax=13.29 +2025-10-31 16:39:31,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.082, max=11.49, mean=-0.2592, std=2.478, absmax=11.49 +2025-10-31 16:39:32,304 ERROR: Encountered non-finite generator loss at iter 3273; skipping update. +2025-10-31 16:39:32,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:32,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:32,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.22, mean=-0.2655, std=2.985, absmax=12.22 +2025-10-31 16:39:32,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.975, mean=-0.2726, std=2.505, absmax=10.33 +2025-10-31 16:39:32,804 ERROR: Encountered non-finite generator loss at iter 3274; skipping update. +2025-10-31 16:39:32,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:32,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:32,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:32,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:32,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.75, mean=0.1017, std=3.216, absmax=14.75 +2025-10-31 16:39:32,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.12, mean=0.001442, std=2.636, absmax=11.12 +2025-10-31 16:39:33,305 ERROR: Encountered non-finite generator loss at iter 3275; skipping update. +2025-10-31 16:39:33,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:33,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:33,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=15.9, mean=0.01302, std=3.464, absmax=15.9 +2025-10-31 16:39:33,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=11.49, mean=0.01246, std=2.942, absmax=11.49 +2025-10-31 16:39:33,806 ERROR: Encountered non-finite generator loss at iter 3276; skipping update. +2025-10-31 16:39:33,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:33,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:33,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:33,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:33,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=18.45, mean=-0.1603, std=3.282, absmax=18.45 +2025-10-31 16:39:33,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.52, mean=-0.1655, std=2.632, absmax=10.55 +2025-10-31 16:39:34,308 ERROR: Encountered non-finite generator loss at iter 3277; skipping update. +2025-10-31 16:39:34,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:34,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:34,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=10.3, mean=-0.1381, std=2.723, absmax=12.3 +2025-10-31 16:39:34,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=9.012, mean=-0.1349, std=2.197, absmax=11.42 +2025-10-31 16:39:34,811 ERROR: Encountered non-finite generator loss at iter 3278; skipping update. +2025-10-31 16:39:34,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:34,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:34,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:34,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:34,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.45, max=14.51, mean=-0.06927, std=4.152, absmax=18.45 +2025-10-31 16:39:34,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=11.38, mean=-0.0879, std=3.401, absmax=11.38 +2025-10-31 16:39:35,313 ERROR: Encountered non-finite generator loss at iter 3279; skipping update. +2025-10-31 16:39:35,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:35,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:35,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.29, mean=-0.059, std=2.997, absmax=14.29 +2025-10-31 16:39:35,322 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.163, max=10.51, mean=-0.08074, std=2.423, absmax=10.51 +2025-10-31 16:39:35,816 ERROR: Encountered non-finite generator loss at iter 3280; skipping update. +2025-10-31 16:39:35,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:35,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:35,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:35,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:35,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.1, mean=-0.2456, std=2.993, absmax=13.1 +2025-10-31 16:39:35,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.179, mean=-0.2346, std=2.516, absmax=10.29 +2025-10-31 16:39:36,317 ERROR: Encountered non-finite generator loss at iter 3281; skipping update. +2025-10-31 16:39:36,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:36,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:36,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.97, mean=-0.04826, std=2.792, absmax=12.97 +2025-10-31 16:39:36,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.52, mean=-0.03017, std=2.416, absmax=10.52 +2025-10-31 16:39:36,820 ERROR: Encountered non-finite generator loss at iter 3282; skipping update. +2025-10-31 16:39:36,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:36,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:36,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:36,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:36,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=14.08, mean=-0.314, std=2.933, absmax=14.08 +2025-10-31 16:39:36,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.943, max=10.61, mean=-0.2761, std=2.431, absmax=10.61 +2025-10-31 16:39:37,324 ERROR: Encountered non-finite generator loss at iter 3283; skipping update. +2025-10-31 16:39:37,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:37,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:37,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.99, mean=0.1378, std=3.464, absmax=13.99 +2025-10-31 16:39:37,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.28, mean=0.1573, std=2.977, absmax=11.28 +2025-10-31 16:39:37,828 ERROR: Encountered non-finite generator loss at iter 3284; skipping update. +2025-10-31 16:39:37,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:37,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:37,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:37,836 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:37,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=15.49, mean=-0.07108, std=3.386, absmax=15.49 +2025-10-31 16:39:37,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=13.38, mean=-0.1063, std=2.847, absmax=13.38 +2025-10-31 16:39:38,332 ERROR: Encountered non-finite generator loss at iter 3285; skipping update. +2025-10-31 16:39:38,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:38,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:38,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.82, mean=-0.1928, std=2.636, absmax=11.82 +2025-10-31 16:39:38,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.625, max=10.2, mean=-0.2295, std=2.238, absmax=10.2 +2025-10-31 16:39:38,835 ERROR: Encountered non-finite generator loss at iter 3286; skipping update. +2025-10-31 16:39:38,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:38,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:38,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:38,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:38,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.8, mean=-0.262, std=2.925, absmax=13.14 +2025-10-31 16:39:38,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.119, max=10.11, mean=-0.2286, std=2.259, absmax=10.11 +2025-10-31 16:39:39,334 ERROR: Encountered non-finite generator loss at iter 3287; skipping update. +2025-10-31 16:39:39,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:39,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:39,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=12.17, mean=-0.3257, std=2.481, absmax=12.17 +2025-10-31 16:39:39,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.519, max=9.424, mean=-0.3313, std=2.122, absmax=9.424 +2025-10-31 16:39:39,837 ERROR: Encountered non-finite generator loss at iter 3288; skipping update. +2025-10-31 16:39:39,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:39,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:39,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:39,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:39,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.98, mean=-0.2835, std=3.033, absmax=13.98 +2025-10-31 16:39:39,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.844, mean=-0.2271, std=2.463, absmax=10.72 +2025-10-31 16:39:40,338 ERROR: Encountered non-finite generator loss at iter 3289; skipping update. +2025-10-31 16:39:40,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:40,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:40,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.76, mean=-0.1531, std=2.515, absmax=12.76 +2025-10-31 16:39:40,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.02, mean=-0.1673, std=2.141, absmax=10.15 +2025-10-31 16:39:40,840 ERROR: Encountered non-finite generator loss at iter 3290; skipping update. +2025-10-31 16:39:40,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:40,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:40,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:40,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:40,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.47, mean=-3.995e-05, std=2.765, absmax=12.47 +2025-10-31 16:39:40,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.277, mean=-0.01973, std=2.473, absmax=10.15 +2025-10-31 16:39:41,343 ERROR: Encountered non-finite generator loss at iter 3291; skipping update. +2025-10-31 16:39:41,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:41,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:41,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=16.51, mean=-0.03847, std=3.542, absmax=16.51 +2025-10-31 16:39:41,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.736, max=9.902, mean=-0.1026, std=2.804, absmax=9.902 +2025-10-31 16:39:41,846 ERROR: Encountered non-finite generator loss at iter 3292; skipping update. +2025-10-31 16:39:41,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:41,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:41,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:41,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:41,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=18.43, mean=-0.1339, std=2.797, absmax=18.43 +2025-10-31 16:39:41,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=14.44, mean=-0.1231, std=2.216, absmax=14.44 +2025-10-31 16:39:42,349 ERROR: Encountered non-finite generator loss at iter 3293; skipping update. +2025-10-31 16:39:42,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:42,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:42,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.21, mean=-0.2293, std=2.758, absmax=12.21 +2025-10-31 16:39:42,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.45, mean=-0.2211, std=2.356, absmax=10.45 +2025-10-31 16:39:42,852 ERROR: Encountered non-finite generator loss at iter 3294; skipping update. +2025-10-31 16:39:42,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,854 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:42,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:42,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:42,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:42,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=15.03, mean=-0.01553, std=3.065, absmax=15.03 +2025-10-31 16:39:42,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.73, max=11.07, mean=0.008085, std=2.614, absmax=11.07 +2025-10-31 16:39:43,355 ERROR: Encountered non-finite generator loss at iter 3295; skipping update. +2025-10-31 16:39:43,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:43,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:43,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.06, mean=-0.2606, std=2.933, absmax=12.51 +2025-10-31 16:39:43,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.748, max=8.128, mean=-0.2607, std=2.442, absmax=9.748 +2025-10-31 16:39:43,858 ERROR: Encountered non-finite generator loss at iter 3296; skipping update. +2025-10-31 16:39:43,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:43,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:43,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:43,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:43,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=14.38, mean=0.01537, std=2.802, absmax=14.38 +2025-10-31 16:39:43,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.624, max=12.27, mean=0.001277, std=2.441, absmax=12.27 +2025-10-31 16:39:44,361 ERROR: Encountered non-finite generator loss at iter 3297; skipping update. +2025-10-31 16:39:44,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,367 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:44,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:44,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.64, max=16.81, mean=-0.2842, std=3.073, absmax=19.64 +2025-10-31 16:39:44,370 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.34, mean=-0.2836, std=2.519, absmax=10.34 +2025-10-31 16:39:44,863 ERROR: Encountered non-finite generator loss at iter 3298; skipping update. +2025-10-31 16:39:44,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:44,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:44,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:44,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:44,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.94, mean=0.1946, std=3.984, absmax=15.94 +2025-10-31 16:39:44,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=14.32, mean=0.1631, std=3.454, absmax=14.32 +2025-10-31 16:39:45,366 ERROR: Encountered non-finite generator loss at iter 3299; skipping update. +2025-10-31 16:39:45,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:45,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:45,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=13.36, mean=-0.1885, std=3.159, absmax=14.62 +2025-10-31 16:39:45,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=8.924, mean=-0.1669, std=2.699, absmax=12.29 +2025-10-31 16:39:45,869 ERROR: Encountered non-finite generator loss at iter 3300; skipping update. +2025-10-31 16:39:45,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,871 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:45,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:45,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:45,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:45,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=15.11, mean=-0.07617, std=2.818, absmax=15.11 +2025-10-31 16:39:45,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.093, max=10.51, mean=-0.1284, std=2.264, absmax=10.51 +2025-10-31 16:39:45,880 INFO: [29..][epoch: 0, step: 3,300, lr:(1.500e-04,)] [eta: 1 day, 20:31:54, time (data): 0.503 (0.000)] +2025-10-31 16:39:46,373 ERROR: Encountered non-finite generator loss at iter 3301; skipping update. +2025-10-31 16:39:46,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:46,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:46,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=15, mean=0.00624, std=3.35, absmax=15 +2025-10-31 16:39:46,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.778, max=14.25, mean=0.03742, std=2.986, absmax=14.25 +2025-10-31 16:39:46,878 ERROR: Encountered non-finite generator loss at iter 3302; skipping update. +2025-10-31 16:39:46,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:46,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:46,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:46,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:46,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=15.79, mean=-0.2289, std=3.258, absmax=15.79 +2025-10-31 16:39:46,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=11.92, mean=-0.2264, std=2.841, absmax=11.92 +2025-10-31 16:39:47,381 ERROR: Encountered non-finite generator loss at iter 3303; skipping update. +2025-10-31 16:39:47,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:47,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:47,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=14.21, mean=0.04077, std=3.211, absmax=14.41 +2025-10-31 16:39:47,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.94, mean=0.02996, std=2.697, absmax=11.94 +2025-10-31 16:39:47,884 ERROR: Encountered non-finite generator loss at iter 3304; skipping update. +2025-10-31 16:39:47,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,886 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:47,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:47,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:47,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:47,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.72, mean=-0.1592, std=3.215, absmax=14.72 +2025-10-31 16:39:47,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.25, mean=-0.1567, std=2.705, absmax=11.25 +2025-10-31 16:39:48,385 ERROR: Encountered non-finite generator loss at iter 3305; skipping update. +2025-10-31 16:39:48,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:48,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:48,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.55, mean=-0.2657, std=2.742, absmax=13.07 +2025-10-31 16:39:48,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.304, max=8.871, mean=-0.2085, std=2.283, absmax=9.304 +2025-10-31 16:39:48,888 ERROR: Encountered non-finite generator loss at iter 3306; skipping update. +2025-10-31 16:39:48,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:48,893 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:48,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:48,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:48,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.17, mean=-0.01128, std=2.736, absmax=13.17 +2025-10-31 16:39:48,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=12.42, mean=-0.004884, std=2.548, absmax=12.42 +2025-10-31 16:39:49,388 ERROR: Encountered non-finite generator loss at iter 3307; skipping update. +2025-10-31 16:39:49,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:49,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:49,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.58, mean=-0.01465, std=3.493, absmax=15.58 +2025-10-31 16:39:49,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.74, max=11.12, mean=-0.07957, std=2.753, absmax=11.12 +2025-10-31 16:39:49,892 ERROR: Encountered non-finite generator loss at iter 3308; skipping update. +2025-10-31 16:39:49,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:49,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:49,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:49,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:49,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.56, mean=-0.2831, std=2.471, absmax=14.56 +2025-10-31 16:39:49,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.007, max=11.08, mean=-0.2505, std=2.07, absmax=11.08 +2025-10-31 16:39:50,393 ERROR: Encountered non-finite generator loss at iter 3309; skipping update. +2025-10-31 16:39:50,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,398 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:50,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:50,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.28, mean=-0.0007127, std=2.934, absmax=12.28 +2025-10-31 16:39:50,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.696, max=10.07, mean=-0.02262, std=2.503, absmax=10.07 +2025-10-31 16:39:50,895 ERROR: Encountered non-finite generator loss at iter 3310; skipping update. +2025-10-31 16:39:50,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:50,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:50,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:50,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:50,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=12.69, mean=-0.2984, std=3.376, absmax=14.33 +2025-10-31 16:39:50,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=9.471, mean=-0.2579, std=2.822, absmax=12.11 +2025-10-31 16:39:51,397 ERROR: Encountered non-finite generator loss at iter 3311; skipping update. +2025-10-31 16:39:51,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,402 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:51,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:51,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.13, mean=-0.1308, std=3.086, absmax=14.13 +2025-10-31 16:39:51,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.17, mean=-0.1817, std=2.524, absmax=11.17 +2025-10-31 16:39:51,898 ERROR: Encountered non-finite generator loss at iter 3312; skipping update. +2025-10-31 16:39:51,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:51,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:51,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:51,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:51,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.73, mean=-0.08674, std=2.643, absmax=14.54 +2025-10-31 16:39:51,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=8.957, mean=-0.09413, std=2.211, absmax=8.957 +2025-10-31 16:39:52,398 ERROR: Encountered non-finite generator loss at iter 3313; skipping update. +2025-10-31 16:39:52,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:52,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:52,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=16.73, mean=-0.08471, std=3.254, absmax=16.73 +2025-10-31 16:39:52,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=11.12, mean=-0.06217, std=2.586, absmax=11.12 +2025-10-31 16:39:52,897 ERROR: Encountered non-finite generator loss at iter 3314; skipping update. +2025-10-31 16:39:52,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:52,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:52,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:52,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:52,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=10.69, mean=-0.00388, std=2.628, absmax=12.55 +2025-10-31 16:39:52,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.373, max=10.11, mean=-0.01801, std=2.299, absmax=10.11 +2025-10-31 16:39:53,398 ERROR: Encountered non-finite generator loss at iter 3315; skipping update. +2025-10-31 16:39:53,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:53,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:53,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.13, mean=0.04917, std=3.025, absmax=15.13 +2025-10-31 16:39:53,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=12.36, mean=0.03657, std=2.629, absmax=12.36 +2025-10-31 16:39:53,899 ERROR: Encountered non-finite generator loss at iter 3316; skipping update. +2025-10-31 16:39:53,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:53,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:53,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:53,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:53,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=14.82, mean=-0.07846, std=3.561, absmax=14.82 +2025-10-31 16:39:53,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=11.15, mean=-0.0778, std=3.001, absmax=11.27 +2025-10-31 16:39:54,400 ERROR: Encountered non-finite generator loss at iter 3317; skipping update. +2025-10-31 16:39:54,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,404 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,405 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,406 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:54,407 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:54,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=13.33, mean=-0.3363, std=3.771, absmax=14.48 +2025-10-31 16:39:54,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.41, max=9.964, mean=-0.305, std=3.314, absmax=13.41 +2025-10-31 16:39:54,901 ERROR: Encountered non-finite generator loss at iter 3318; skipping update. +2025-10-31 16:39:54,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:54,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:54,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:54,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:54,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.4, mean=-0.02682, std=3.055, absmax=14.4 +2025-10-31 16:39:54,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.676, max=11.44, mean=-0.0574, std=2.651, absmax=11.44 +2025-10-31 16:39:55,402 ERROR: Encountered non-finite generator loss at iter 3319; skipping update. +2025-10-31 16:39:55,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:55,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:55,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=15.04, mean=-0.2563, std=2.979, absmax=15.04 +2025-10-31 16:39:55,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=13.03, mean=-0.185, std=2.507, absmax=13.03 +2025-10-31 16:39:55,902 ERROR: Encountered non-finite generator loss at iter 3320; skipping update. +2025-10-31 16:39:55,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:55,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:55,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:55,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:55,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=14.48, mean=-0.02439, std=3.156, absmax=14.64 +2025-10-31 16:39:55,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.846, max=11.08, mean=-0.06411, std=2.739, absmax=11.08 +2025-10-31 16:39:56,402 ERROR: Encountered non-finite generator loss at iter 3321; skipping update. +2025-10-31 16:39:56,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:56,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:56,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=9.555, mean=-0.1383, std=2.362, absmax=10.41 +2025-10-31 16:39:56,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.091, max=8.205, mean=-0.1487, std=2.075, absmax=9.091 +2025-10-31 16:39:56,903 ERROR: Encountered non-finite generator loss at iter 3322; skipping update. +2025-10-31 16:39:56,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,907 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:56,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:56,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:56,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:56,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.01, mean=-0.2102, std=2.976, absmax=12.87 +2025-10-31 16:39:56,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.558, mean=-0.1985, std=2.534, absmax=10.88 +2025-10-31 16:39:57,402 ERROR: Encountered non-finite generator loss at iter 3323; skipping update. +2025-10-31 16:39:57,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:57,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:57,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.3, mean=-0.404, std=3.408, absmax=13.51 +2025-10-31 16:39:57,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.273, mean=-0.3683, std=2.889, absmax=11.66 +2025-10-31 16:39:57,903 ERROR: Encountered non-finite generator loss at iter 3324; skipping update. +2025-10-31 16:39:57,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,906 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,907 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:57,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:57,909 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:57,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:57,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.83, mean=-0.2, std=3.165, absmax=14.83 +2025-10-31 16:39:57,912 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.78, mean=-0.1954, std=2.511, absmax=11.78 +2025-10-31 16:39:58,403 ERROR: Encountered non-finite generator loss at iter 3325; skipping update. +2025-10-31 16:39:58,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:58,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:58,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=11.67, mean=-0.2576, std=3.369, absmax=14.19 +2025-10-31 16:39:58,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=9.502, mean=-0.2605, std=2.643, absmax=12.77 +2025-10-31 16:39:58,904 ERROR: Encountered non-finite generator loss at iter 3326; skipping update. +2025-10-31 16:39:58,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,908 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:58,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:58,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:58,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:58,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.44, mean=-0.08783, std=2.749, absmax=12.44 +2025-10-31 16:39:58,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.944, max=9.282, mean=-0.1114, std=2.347, absmax=9.282 +2025-10-31 16:39:59,405 ERROR: Encountered non-finite generator loss at iter 3327; skipping update. +2025-10-31 16:39:59,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:59,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:59,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=16.79, mean=-0.2069, std=2.809, absmax=16.79 +2025-10-31 16:39:59,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.5, mean=-0.2018, std=2.307, absmax=11.74 +2025-10-31 16:39:59,908 ERROR: Encountered non-finite generator loss at iter 3328; skipping update. +2025-10-31 16:39:59,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:39:59,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:39:59,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:39:59,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:39:59,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.64, mean=-0.04395, std=2.913, absmax=12.4 +2025-10-31 16:39:59,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=8.958, mean=-0.05231, std=2.404, absmax=10.06 +2025-10-31 16:40:00,408 ERROR: Encountered non-finite generator loss at iter 3329; skipping update. +2025-10-31 16:40:00,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,410 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,412 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:00,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:00,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.72, mean=-0.2321, std=2.997, absmax=13.93 +2025-10-31 16:40:00,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=10.02, mean=-0.195, std=2.583, absmax=12.27 +2025-10-31 16:40:00,908 ERROR: Encountered non-finite generator loss at iter 3330; skipping update. +2025-10-31 16:40:00,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:00,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:00,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:00,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:00,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.26, mean=0.009546, std=2.989, absmax=12.2 +2025-10-31 16:40:00,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.007, max=10.48, mean=0.001337, std=2.467, absmax=10.48 +2025-10-31 16:40:01,408 ERROR: Encountered non-finite generator loss at iter 3331; skipping update. +2025-10-31 16:40:01,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:01,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:01,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=15.28, mean=-0.1084, std=3.092, absmax=15.28 +2025-10-31 16:40:01,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=13.39, mean=-0.1048, std=2.701, absmax=13.39 +2025-10-31 16:40:01,909 ERROR: Encountered non-finite generator loss at iter 3332; skipping update. +2025-10-31 16:40:01,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:01,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:01,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:01,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:01,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.12, mean=0.103, std=3.073, absmax=13.6 +2025-10-31 16:40:01,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.716, max=10.92, mean=0.1386, std=2.688, absmax=10.92 +2025-10-31 16:40:02,410 ERROR: Encountered non-finite generator loss at iter 3333; skipping update. +2025-10-31 16:40:02,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:02,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:02,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=11.55, mean=-0.2738, std=3.082, absmax=14.49 +2025-10-31 16:40:02,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.214, mean=-0.2553, std=2.502, absmax=11.33 +2025-10-31 16:40:02,913 ERROR: Encountered non-finite generator loss at iter 3334; skipping update. +2025-10-31 16:40:02,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,918 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:02,919 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:02,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:02,921 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:02,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12, mean=-0.1543, std=3.036, absmax=12 +2025-10-31 16:40:02,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.345, max=9.399, mean=-0.1146, std=2.5, absmax=9.399 +2025-10-31 16:40:03,416 ERROR: Encountered non-finite generator loss at iter 3335; skipping update. +2025-10-31 16:40:03,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:03,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:03,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.72, mean=-0.1551, std=2.802, absmax=13.72 +2025-10-31 16:40:03,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.827, max=10.35, mean=-0.1747, std=2.288, absmax=10.35 +2025-10-31 16:40:03,918 ERROR: Encountered non-finite generator loss at iter 3336; skipping update. +2025-10-31 16:40:03,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,921 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:03,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:03,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:03,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:03,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.32, mean=-0.2757, std=3.801, absmax=14.32 +2025-10-31 16:40:03,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=11.57, mean=-0.2765, std=3.417, absmax=12.2 +2025-10-31 16:40:04,420 ERROR: Encountered non-finite generator loss at iter 3337; skipping update. +2025-10-31 16:40:04,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:04,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:04,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.11, mean=-0.2603, std=2.765, absmax=11.63 +2025-10-31 16:40:04,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.384, mean=-0.314, std=2.474, absmax=10.08 +2025-10-31 16:40:04,921 ERROR: Encountered non-finite generator loss at iter 3338; skipping update. +2025-10-31 16:40:04,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:04,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:04,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:04,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:04,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.25, mean=-0.1612, std=2.737, absmax=14.25 +2025-10-31 16:40:04,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=9.542, mean=-0.1825, std=2.45, absmax=10.99 +2025-10-31 16:40:05,422 ERROR: Encountered non-finite generator loss at iter 3339; skipping update. +2025-10-31 16:40:05,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:05,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:05,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.41, mean=-0.3063, std=3.156, absmax=12.31 +2025-10-31 16:40:05,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=7.978, mean=-0.2431, std=2.634, absmax=10.72 +2025-10-31 16:40:05,922 ERROR: Encountered non-finite generator loss at iter 3340; skipping update. +2025-10-31 16:40:05,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:05,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:05,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:05,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:05,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.82, mean=-0.302, std=3.19, absmax=14.6 +2025-10-31 16:40:05,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.73, max=9.411, mean=-0.2714, std=2.605, absmax=12.73 +2025-10-31 16:40:06,423 ERROR: Encountered non-finite generator loss at iter 3341; skipping update. +2025-10-31 16:40:06,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:06,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:06,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=11.95, mean=-0.253, std=2.694, absmax=11.95 +2025-10-31 16:40:06,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.655, max=7.617, mean=-0.2814, std=2.185, absmax=8.655 +2025-10-31 16:40:06,925 ERROR: Encountered non-finite generator loss at iter 3342; skipping update. +2025-10-31 16:40:06,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:06,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:06,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:06,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:06,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.19, mean=-0.03685, std=2.894, absmax=13.19 +2025-10-31 16:40:06,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.824, max=9.411, mean=-0.04642, std=2.376, absmax=9.411 +2025-10-31 16:40:07,426 ERROR: Encountered non-finite generator loss at iter 3343; skipping update. +2025-10-31 16:40:07,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:07,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:07,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=20.63, mean=-0.2958, std=2.854, absmax=20.63 +2025-10-31 16:40:07,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.34, mean=-0.2564, std=2.422, absmax=10.95 +2025-10-31 16:40:07,926 ERROR: Encountered non-finite generator loss at iter 3344; skipping update. +2025-10-31 16:40:07,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:07,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:07,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:07,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:07,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.13, mean=-0.2712, std=2.63, absmax=12.44 +2025-10-31 16:40:07,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=7.745, mean=-0.2553, std=2.254, absmax=10.51 +2025-10-31 16:40:08,426 ERROR: Encountered non-finite generator loss at iter 3345; skipping update. +2025-10-31 16:40:08,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:08,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:08,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.04, mean=0.01404, std=3.045, absmax=14.04 +2025-10-31 16:40:08,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=11.22, mean=0.0169, std=2.541, absmax=11.22 +2025-10-31 16:40:08,926 ERROR: Encountered non-finite generator loss at iter 3346; skipping update. +2025-10-31 16:40:08,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:08,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:08,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:08,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:08,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.91, mean=0.003858, std=2.974, absmax=14.91 +2025-10-31 16:40:08,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.548, max=13.37, mean=-0.01846, std=2.501, absmax=13.37 +2025-10-31 16:40:09,427 ERROR: Encountered non-finite generator loss at iter 3347; skipping update. +2025-10-31 16:40:09,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:09,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:09,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.74, mean=-0.1729, std=2.83, absmax=13.4 +2025-10-31 16:40:09,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.291, mean=-0.1722, std=2.399, absmax=10.91 +2025-10-31 16:40:09,927 ERROR: Encountered non-finite generator loss at iter 3348; skipping update. +2025-10-31 16:40:09,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:09,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:09,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:09,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:09,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=15.08, mean=0.07925, std=3.708, absmax=15.08 +2025-10-31 16:40:09,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=12.16, mean=0.1065, std=3.052, absmax=12.16 +2025-10-31 16:40:10,427 ERROR: Encountered non-finite generator loss at iter 3349; skipping update. +2025-10-31 16:40:10,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:10,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:10,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.27, mean=-0.1577, std=2.996, absmax=11.79 +2025-10-31 16:40:10,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.335, mean=-0.1749, std=2.488, absmax=10 +2025-10-31 16:40:10,928 ERROR: Encountered non-finite generator loss at iter 3350; skipping update. +2025-10-31 16:40:10,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:10,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:10,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:10,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:10,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.13, mean=-0.1188, std=3.002, absmax=14.13 +2025-10-31 16:40:10,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.963, max=11.49, mean=-0.1237, std=2.554, absmax=11.49 +2025-10-31 16:40:11,429 ERROR: Encountered non-finite generator loss at iter 3351; skipping update. +2025-10-31 16:40:11,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,433 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:11,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:11,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.91, mean=-0.1774, std=2.997, absmax=12.86 +2025-10-31 16:40:11,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.813, mean=-0.1487, std=2.52, absmax=10.29 +2025-10-31 16:40:11,929 ERROR: Encountered non-finite generator loss at iter 3352; skipping update. +2025-10-31 16:40:11,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:11,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:11,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:11,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:11,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=13.43, mean=0.1241, std=3.507, absmax=14.58 +2025-10-31 16:40:11,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=11.08, mean=0.05109, std=2.976, absmax=12.61 +2025-10-31 16:40:12,430 ERROR: Encountered non-finite generator loss at iter 3353; skipping update. +2025-10-31 16:40:12,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:12,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:12,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.57, mean=-0.2387, std=2.747, absmax=13.57 +2025-10-31 16:40:12,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=8.465, mean=-0.195, std=2.402, absmax=10.32 +2025-10-31 16:40:12,931 ERROR: Encountered non-finite generator loss at iter 3354; skipping update. +2025-10-31 16:40:12,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:12,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:12,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:12,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:12,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.13, mean=0.1526, std=3.484, absmax=14.13 +2025-10-31 16:40:12,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.545, max=12.99, mean=0.1255, std=2.938, absmax=12.99 +2025-10-31 16:40:13,434 ERROR: Encountered non-finite generator loss at iter 3355; skipping update. +2025-10-31 16:40:13,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:13,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:13,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=19.4, mean=-0.2148, std=3.303, absmax=19.4 +2025-10-31 16:40:13,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=9.727, mean=-0.1886, std=2.823, absmax=12.39 +2025-10-31 16:40:13,934 ERROR: Encountered non-finite generator loss at iter 3356; skipping update. +2025-10-31 16:40:13,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,936 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,938 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:13,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:13,940 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:13,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:13,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=12.34, mean=-0.1992, std=2.777, absmax=14.48 +2025-10-31 16:40:13,943 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.99, max=8.666, mean=-0.2518, std=2.173, absmax=9.99 +2025-10-31 16:40:14,435 ERROR: Encountered non-finite generator loss at iter 3357; skipping update. +2025-10-31 16:40:14,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,437 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:14,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:14,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=15, mean=0.2452, std=3.962, absmax=15 +2025-10-31 16:40:14,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=14.25, mean=0.2415, std=3.442, absmax=14.25 +2025-10-31 16:40:14,937 ERROR: Encountered non-finite generator loss at iter 3358; skipping update. +2025-10-31 16:40:14,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:14,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:14,944 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:14,945 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:14,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.06, mean=-0.2576, std=2.716, absmax=12.19 +2025-10-31 16:40:14,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=8.914, mean=-0.2323, std=2.237, absmax=9.287 +2025-10-31 16:40:15,438 ERROR: Encountered non-finite generator loss at iter 3359; skipping update. +2025-10-31 16:40:15,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:15,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:15,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=15.94, mean=-0.1057, std=3.799, absmax=15.94 +2025-10-31 16:40:15,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=12.44, mean=-0.1304, std=3.289, absmax=12.44 +2025-10-31 16:40:15,947 ERROR: Encountered non-finite generator loss at iter 3360; skipping update. +2025-10-31 16:40:15,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:15,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:15,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:15,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:15,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.34, mean=-0.2801, std=3.201, absmax=14.34 +2025-10-31 16:40:15,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=12.1, mean=-0.216, std=2.64, absmax=12.1 +2025-10-31 16:40:16,446 ERROR: Encountered non-finite generator loss at iter 3361; skipping update. +2025-10-31 16:40:16,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:16,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:16,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=14.72, mean=-0.2209, std=2.667, absmax=14.72 +2025-10-31 16:40:16,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.485, mean=-0.2446, std=2.252, absmax=10.01 +2025-10-31 16:40:16,947 ERROR: Encountered non-finite generator loss at iter 3362; skipping update. +2025-10-31 16:40:16,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:16,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:16,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:16,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:16,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.08, mean=0.1101, std=3.388, absmax=14.08 +2025-10-31 16:40:16,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.475, max=11.98, mean=0.08183, std=2.796, absmax=11.98 +2025-10-31 16:40:17,450 ERROR: Encountered non-finite generator loss at iter 3363; skipping update. +2025-10-31 16:40:17,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:17,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:17,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.15, mean=-0.03186, std=3.035, absmax=14.15 +2025-10-31 16:40:17,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.964, max=10, mean=-0.0473, std=2.373, absmax=10 +2025-10-31 16:40:17,950 ERROR: Encountered non-finite generator loss at iter 3364; skipping update. +2025-10-31 16:40:17,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:17,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:17,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:17,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:17,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.03, mean=-0.1605, std=3.201, absmax=12.03 +2025-10-31 16:40:17,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.504, max=10.14, mean=-0.1625, std=2.548, absmax=10.14 +2025-10-31 16:40:18,451 ERROR: Encountered non-finite generator loss at iter 3365; skipping update. +2025-10-31 16:40:18,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:18,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:18,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.19, mean=-0.1965, std=2.954, absmax=13.59 +2025-10-31 16:40:18,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=9.865, mean=-0.1774, std=2.488, absmax=9.995 +2025-10-31 16:40:18,953 ERROR: Encountered non-finite generator loss at iter 3366; skipping update. +2025-10-31 16:40:18,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:18,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:18,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:18,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:18,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=10.79, mean=-0.1008, std=2.902, absmax=12.16 +2025-10-31 16:40:18,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=8.803, mean=-0.06851, std=2.5, absmax=10.58 +2025-10-31 16:40:19,454 ERROR: Encountered non-finite generator loss at iter 3367; skipping update. +2025-10-31 16:40:19,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:19,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:19,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.03, mean=-0.02883, std=2.98, absmax=14.03 +2025-10-31 16:40:19,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.13, mean=-0.08249, std=2.357, absmax=11.13 +2025-10-31 16:40:19,954 ERROR: Encountered non-finite generator loss at iter 3368; skipping update. +2025-10-31 16:40:19,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:19,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:19,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:19,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:19,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.04, mean=-0.1927, std=2.853, absmax=13.04 +2025-10-31 16:40:19,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.903, mean=-0.2113, std=2.349, absmax=10.91 +2025-10-31 16:40:20,457 ERROR: Encountered non-finite generator loss at iter 3369; skipping update. +2025-10-31 16:40:20,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:20,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:20,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=21.69, mean=0.02114, std=3.545, absmax=21.69 +2025-10-31 16:40:20,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.41, max=16.02, mean=0.01041, std=2.945, absmax=16.02 +2025-10-31 16:40:20,956 ERROR: Encountered non-finite generator loss at iter 3370; skipping update. +2025-10-31 16:40:20,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:20,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:20,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:20,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:20,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=11.78, mean=-0.207, std=3.086, absmax=14.86 +2025-10-31 16:40:20,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.59, max=9.463, mean=-0.2533, std=2.814, absmax=13.59 +2025-10-31 16:40:21,457 ERROR: Encountered non-finite generator loss at iter 3371; skipping update. +2025-10-31 16:40:21,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,463 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:21,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:21,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.2, mean=-0.1898, std=3.233, absmax=14.14 +2025-10-31 16:40:21,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.05, max=8.772, mean=-0.1849, std=2.802, absmax=13.05 +2025-10-31 16:40:21,958 ERROR: Encountered non-finite generator loss at iter 3372; skipping update. +2025-10-31 16:40:21,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:21,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:21,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:21,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:21,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.3, mean=-0.0569, std=3.438, absmax=14.3 +2025-10-31 16:40:21,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=12.61, mean=-0.06586, std=2.924, absmax=12.61 +2025-10-31 16:40:22,461 ERROR: Encountered non-finite generator loss at iter 3373; skipping update. +2025-10-31 16:40:22,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:22,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:22,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.22, mean=0.07021, std=2.79, absmax=14.22 +2025-10-31 16:40:22,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.68, max=11.1, mean=0.05341, std=2.246, absmax=11.1 +2025-10-31 16:40:22,960 ERROR: Encountered non-finite generator loss at iter 3374; skipping update. +2025-10-31 16:40:22,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:22,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:22,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:22,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:22,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=18.22, mean=-0.2104, std=2.939, absmax=18.22 +2025-10-31 16:40:22,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.68, max=14.17, mean=-0.2195, std=2.512, absmax=14.17 +2025-10-31 16:40:23,461 ERROR: Encountered non-finite generator loss at iter 3375; skipping update. +2025-10-31 16:40:23,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:23,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:23,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.27, mean=-0.103, std=3.269, absmax=12.36 +2025-10-31 16:40:23,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.75, mean=-0.08703, std=2.856, absmax=11.75 +2025-10-31 16:40:23,962 ERROR: Encountered non-finite generator loss at iter 3376; skipping update. +2025-10-31 16:40:23,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:23,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:23,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:23,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:23,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.34, mean=-0.1499, std=2.878, absmax=13.37 +2025-10-31 16:40:23,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=9.343, mean=-0.163, std=2.432, absmax=12.66 +2025-10-31 16:40:24,462 ERROR: Encountered non-finite generator loss at iter 3377; skipping update. +2025-10-31 16:40:24,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:24,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:24,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.66, mean=-0.04733, std=3.58, absmax=14.54 +2025-10-31 16:40:24,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=10.25, mean=-0.1253, std=3.049, absmax=12.57 +2025-10-31 16:40:24,963 ERROR: Encountered non-finite generator loss at iter 3378; skipping update. +2025-10-31 16:40:24,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:24,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:24,969 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:24,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:24,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=15.39, mean=-0.2299, std=2.718, absmax=15.39 +2025-10-31 16:40:24,972 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.016, max=9.58, mean=-0.2258, std=2.294, absmax=9.58 +2025-10-31 16:40:25,463 ERROR: Encountered non-finite generator loss at iter 3379; skipping update. +2025-10-31 16:40:25,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,470 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:25,471 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:25,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=10.56, mean=-0.1029, std=3.013, absmax=13.27 +2025-10-31 16:40:25,473 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.796, max=8.606, mean=-0.1216, std=2.479, absmax=9.796 +2025-10-31 16:40:25,964 ERROR: Encountered non-finite generator loss at iter 3380; skipping update. +2025-10-31 16:40:25,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:25,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:25,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:25,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:25,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.47, mean=-0.1169, std=3.221, absmax=13.47 +2025-10-31 16:40:25,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.753, mean=-0.1347, std=2.609, absmax=11.3 +2025-10-31 16:40:26,464 ERROR: Encountered non-finite generator loss at iter 3381; skipping update. +2025-10-31 16:40:26,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:26,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:26,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=11.78, mean=-0.1636, std=3.02, absmax=14.28 +2025-10-31 16:40:26,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.664, max=10.01, mean=-0.1472, std=2.384, absmax=10.01 +2025-10-31 16:40:26,965 ERROR: Encountered non-finite generator loss at iter 3382; skipping update. +2025-10-31 16:40:26,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:26,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:26,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:26,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:26,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=11.91, mean=-0.08632, std=3.168, absmax=13.37 +2025-10-31 16:40:26,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=8.944, mean=-0.1449, std=2.657, absmax=10.4 +2025-10-31 16:40:27,468 ERROR: Encountered non-finite generator loss at iter 3383; skipping update. +2025-10-31 16:40:27,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:27,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:27,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.24, mean=-0.2672, std=3.077, absmax=13.29 +2025-10-31 16:40:27,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.396, max=9.548, mean=-0.2226, std=2.411, absmax=9.548 +2025-10-31 16:40:27,967 ERROR: Encountered non-finite generator loss at iter 3384; skipping update. +2025-10-31 16:40:27,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:27,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:27,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:27,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:27,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.44, mean=-0.1559, std=2.692, absmax=13.44 +2025-10-31 16:40:27,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.575, max=10.16, mean=-0.1625, std=2.229, absmax=10.16 +2025-10-31 16:40:28,469 ERROR: Encountered non-finite generator loss at iter 3385; skipping update. +2025-10-31 16:40:28,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:28,476 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:28,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=18.04, mean=-0.1511, std=3.013, absmax=18.04 +2025-10-31 16:40:28,478 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.692, max=12.34, mean=-0.1413, std=2.495, absmax=12.34 +2025-10-31 16:40:28,968 ERROR: Encountered non-finite generator loss at iter 3386; skipping update. +2025-10-31 16:40:28,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:28,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:28,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:28,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:28,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.69, mean=-0.172, std=2.99, absmax=13.69 +2025-10-31 16:40:28,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.53, mean=-0.1639, std=2.478, absmax=10.53 +2025-10-31 16:40:29,471 ERROR: Encountered non-finite generator loss at iter 3387; skipping update. +2025-10-31 16:40:29,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:29,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:29,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.26, mean=-0.103, std=3.078, absmax=13.26 +2025-10-31 16:40:29,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.7, mean=-0.1117, std=2.656, absmax=10.62 +2025-10-31 16:40:29,973 ERROR: Encountered non-finite generator loss at iter 3388; skipping update. +2025-10-31 16:40:29,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,976 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:29,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:29,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:29,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:29,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.41, mean=-0.4312, std=3.685, absmax=13.69 +2025-10-31 16:40:29,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.18, max=10.2, mean=-0.3449, std=3.244, absmax=13.18 +2025-10-31 16:40:30,475 ERROR: Encountered non-finite generator loss at iter 3389; skipping update. +2025-10-31 16:40:30,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:30,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:30,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=9.978, mean=-0.1194, std=2.64, absmax=11.72 +2025-10-31 16:40:30,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.089, max=9.203, mean=-0.1117, std=2.248, absmax=9.203 +2025-10-31 16:40:30,978 ERROR: Encountered non-finite generator loss at iter 3390; skipping update. +2025-10-31 16:40:30,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:30,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:30,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:30,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:30,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=16.09, mean=-0.008932, std=3.475, absmax=16.09 +2025-10-31 16:40:30,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=10.55, mean=-0.009145, std=2.875, absmax=11.93 +2025-10-31 16:40:31,481 ERROR: Encountered non-finite generator loss at iter 3391; skipping update. +2025-10-31 16:40:31,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:31,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:31,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.19, mean=-0.2608, std=3.16, absmax=12.84 +2025-10-31 16:40:31,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=8.427, mean=-0.2292, std=2.604, absmax=10.46 +2025-10-31 16:40:31,983 ERROR: Encountered non-finite generator loss at iter 3392; skipping update. +2025-10-31 16:40:31,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:31,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:31,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:31,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:31,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.72, mean=-0.06185, std=2.854, absmax=13.33 +2025-10-31 16:40:31,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.515, mean=-0.0699, std=2.428, absmax=10.11 +2025-10-31 16:40:32,486 ERROR: Encountered non-finite generator loss at iter 3393; skipping update. +2025-10-31 16:40:32,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:32,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:32,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.16, mean=-0.1667, std=2.536, absmax=13.16 +2025-10-31 16:40:32,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.758, max=9.102, mean=-0.1913, std=2.087, absmax=9.758 +2025-10-31 16:40:32,987 ERROR: Encountered non-finite generator loss at iter 3394; skipping update. +2025-10-31 16:40:32,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:32,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:32,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:32,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:32,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=10.38, mean=-0.1979, std=2.711, absmax=13.09 +2025-10-31 16:40:32,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=9.685, mean=-0.2272, std=2.422, absmax=12.32 +2025-10-31 16:40:33,488 ERROR: Encountered non-finite generator loss at iter 3395; skipping update. +2025-10-31 16:40:33,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:33,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:33,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.78, mean=-0.2918, std=3.095, absmax=13.78 +2025-10-31 16:40:33,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=12.21, mean=-0.3151, std=2.668, absmax=12.21 +2025-10-31 16:40:33,990 ERROR: Encountered non-finite generator loss at iter 3396; skipping update. +2025-10-31 16:40:33,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:33,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:33,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:33,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:33,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.78, mean=0.08618, std=3.02, absmax=12.78 +2025-10-31 16:40:34,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.673, max=9.874, mean=0.06774, std=2.526, absmax=9.874 +2025-10-31 16:40:34,494 ERROR: Encountered non-finite generator loss at iter 3397; skipping update. +2025-10-31 16:40:34,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:34,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:34,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:34,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:34,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:34,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:34,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:34,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:34,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.12, mean=-0.2333, std=3.092, absmax=12.52 +2025-10-31 16:40:34,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=9.754, mean=-0.2033, std=2.582, absmax=10.55 +2025-10-31 16:40:34,995 ERROR: Encountered non-finite generator loss at iter 3398; skipping update. +2025-10-31 16:40:34,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:34,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:34,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:34,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:34,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:35,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:35,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:35,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:35,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=15.22, mean=0.09413, std=3.243, absmax=15.22 +2025-10-31 16:40:35,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=11.83, mean=0.01431, std=2.718, absmax=11.83 +2025-10-31 16:40:35,498 ERROR: Encountered non-finite generator loss at iter 3399; skipping update. +2025-10-31 16:40:35,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:35,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:35,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:35,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:35,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:35,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:35,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:35,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:35,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.55, mean=-0.1247, std=3.483, absmax=13.55 +2025-10-31 16:40:35,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.15, mean=-0.1306, std=3.043, absmax=10.52 +2025-10-31 16:40:36,000 ERROR: Encountered non-finite generator loss at iter 3400; skipping update. +2025-10-31 16:40:36,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:36,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:36,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.44, mean=-0.2737, std=2.703, absmax=13.44 +2025-10-31 16:40:36,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.379, mean=-0.2601, std=2.187, absmax=11.01 +2025-10-31 16:40:36,009 INFO: [29..][epoch: 0, step: 3,400, lr:(1.500e-04,)] [eta: 1 day, 20:12:52, time (data): 0.502 (0.000)] +2025-10-31 16:40:36,501 ERROR: Encountered non-finite generator loss at iter 3401; skipping update. +2025-10-31 16:40:36,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:36,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:36,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:36,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:36,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.59, mean=-0.02655, std=3.483, absmax=14.73 +2025-10-31 16:40:36,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=13.07, mean=-0.0177, std=2.934, absmax=13.07 +2025-10-31 16:40:37,004 ERROR: Encountered non-finite generator loss at iter 3402; skipping update. +2025-10-31 16:40:37,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:37,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:37,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.05, mean=0.01841, std=3.086, absmax=12.05 +2025-10-31 16:40:37,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.47, mean=0.04715, std=2.629, absmax=11.47 +2025-10-31 16:40:37,505 ERROR: Encountered non-finite generator loss at iter 3403; skipping update. +2025-10-31 16:40:37,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:37,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:37,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:37,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:37,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.13, mean=-0.2478, std=3.172, absmax=12.84 +2025-10-31 16:40:37,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=9.151, mean=-0.2265, std=2.654, absmax=10.35 +2025-10-31 16:40:38,007 ERROR: Encountered non-finite generator loss at iter 3404; skipping update. +2025-10-31 16:40:38,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:38,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:38,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=13.28, mean=-0.2228, std=2.613, absmax=13.28 +2025-10-31 16:40:38,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.171, max=8.936, mean=-0.2173, std=2.148, absmax=9.171 +2025-10-31 16:40:38,509 ERROR: Encountered non-finite generator loss at iter 3405; skipping update. +2025-10-31 16:40:38,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,512 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:38,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:38,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:38,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:38,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=10.36, mean=-0.2825, std=2.888, absmax=13.87 +2025-10-31 16:40:38,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=9.431, mean=-0.2829, std=2.582, absmax=12.57 +2025-10-31 16:40:39,012 ERROR: Encountered non-finite generator loss at iter 3406; skipping update. +2025-10-31 16:40:39,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,015 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,016 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,018 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:39,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:39,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.51, mean=0.06707, std=2.743, absmax=13.51 +2025-10-31 16:40:39,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=11.55, mean=0.05477, std=2.518, absmax=11.55 +2025-10-31 16:40:39,515 ERROR: Encountered non-finite generator loss at iter 3407; skipping update. +2025-10-31 16:40:39,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:39,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:39,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:39,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:39,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=15.57, mean=0.09586, std=3.835, absmax=15.57 +2025-10-31 16:40:39,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=14.61, mean=0.136, std=3.434, absmax=14.61 +2025-10-31 16:40:40,017 ERROR: Encountered non-finite generator loss at iter 3408; skipping update. +2025-10-31 16:40:40,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:40,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:40,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=17.05, mean=0.0335, std=3.287, absmax=17.05 +2025-10-31 16:40:40,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.381, max=12.3, mean=0.002147, std=2.694, absmax=12.3 +2025-10-31 16:40:40,521 ERROR: Encountered non-finite generator loss at iter 3409; skipping update. +2025-10-31 16:40:40,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:40,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:40,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:40,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:40,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=10.86, mean=-0.1267, std=2.942, absmax=12.93 +2025-10-31 16:40:40,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=10.64, mean=-0.1128, std=2.435, absmax=10.64 +2025-10-31 16:40:41,023 ERROR: Encountered non-finite generator loss at iter 3410; skipping update. +2025-10-31 16:40:41,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:41,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:41,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.27, mean=-0.2121, std=3.581, absmax=13.27 +2025-10-31 16:40:41,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=9.816, mean=-0.2, std=2.757, absmax=10.55 +2025-10-31 16:40:41,526 ERROR: Encountered non-finite generator loss at iter 3411; skipping update. +2025-10-31 16:40:41,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:41,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:41,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:41,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:41,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.36, mean=0.006286, std=2.559, absmax=11.37 +2025-10-31 16:40:41,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.843, max=9.615, mean=-0.04157, std=2.179, absmax=9.615 +2025-10-31 16:40:42,029 ERROR: Encountered non-finite generator loss at iter 3412; skipping update. +2025-10-31 16:40:42,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:42,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:42,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.29, mean=-0.2792, std=3.182, absmax=13.45 +2025-10-31 16:40:42,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=10.26, mean=-0.2877, std=2.587, absmax=10.48 +2025-10-31 16:40:42,533 ERROR: Encountered non-finite generator loss at iter 3413; skipping update. +2025-10-31 16:40:42,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,537 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:42,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:42,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:42,541 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:42,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.49, mean=-0.09476, std=2.732, absmax=16.49 +2025-10-31 16:40:42,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.835, max=12.62, mean=-0.1129, std=2.205, absmax=12.62 +2025-10-31 16:40:43,036 ERROR: Encountered non-finite generator loss at iter 3414; skipping update. +2025-10-31 16:40:43,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:43,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:43,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.62, mean=-0.05071, std=2.737, absmax=12.6 +2025-10-31 16:40:43,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.814, max=9.313, mean=-0.06075, std=2.175, absmax=9.313 +2025-10-31 16:40:43,537 ERROR: Encountered non-finite generator loss at iter 3415; skipping update. +2025-10-31 16:40:43,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,540 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:43,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:43,544 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:43,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:43,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.73, mean=-0.1534, std=2.785, absmax=13.32 +2025-10-31 16:40:43,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=9.52, mean=-0.1324, std=2.435, absmax=9.549 +2025-10-31 16:40:44,040 ERROR: Encountered non-finite generator loss at iter 3416; skipping update. +2025-10-31 16:40:44,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:44,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:44,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=13.43, mean=-0.06645, std=3.067, absmax=13.43 +2025-10-31 16:40:44,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.32, mean=-0.08687, std=2.578, absmax=11.32 +2025-10-31 16:40:44,542 ERROR: Encountered non-finite generator loss at iter 3417; skipping update. +2025-10-31 16:40:44,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:44,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:44,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:44,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:44,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.42, mean=-0.1972, std=3.207, absmax=12.68 +2025-10-31 16:40:44,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=10.21, mean=-0.2627, std=2.843, absmax=11.28 +2025-10-31 16:40:45,044 ERROR: Encountered non-finite generator loss at iter 3418; skipping update. +2025-10-31 16:40:45,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:45,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:45,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.53, max=19.93, mean=0.0751, std=3.792, absmax=19.93 +2025-10-31 16:40:45,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=10.19, mean=0.07164, std=3.142, absmax=11.98 +2025-10-31 16:40:45,544 ERROR: Encountered non-finite generator loss at iter 3419; skipping update. +2025-10-31 16:40:45,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:45,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:45,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:45,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:45,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=15.7, mean=-0.2785, std=2.628, absmax=15.7 +2025-10-31 16:40:45,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.85, max=11.2, mean=-0.2569, std=2.199, absmax=11.2 +2025-10-31 16:40:46,044 ERROR: Encountered non-finite generator loss at iter 3420; skipping update. +2025-10-31 16:40:46,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:46,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:46,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=9.424, mean=-0.2936, std=2.611, absmax=11.21 +2025-10-31 16:40:46,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=7.672, mean=-0.2554, std=2.421, absmax=10.37 +2025-10-31 16:40:46,545 ERROR: Encountered non-finite generator loss at iter 3421; skipping update. +2025-10-31 16:40:46,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:46,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:46,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:46,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:46,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.75, mean=-0.2296, std=3.314, absmax=12.63 +2025-10-31 16:40:46,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.591, max=7.716, mean=-0.2632, std=2.664, absmax=9.591 +2025-10-31 16:40:47,046 ERROR: Encountered non-finite generator loss at iter 3422; skipping update. +2025-10-31 16:40:47,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:47,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:47,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.76, mean=-0.203, std=3.388, absmax=14.65 +2025-10-31 16:40:47,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=9.878, mean=-0.2139, std=2.855, absmax=12.2 +2025-10-31 16:40:47,547 ERROR: Encountered non-finite generator loss at iter 3423; skipping update. +2025-10-31 16:40:47,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:47,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:47,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:47,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:47,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.62, mean=-0.2929, std=2.857, absmax=13.62 +2025-10-31 16:40:47,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.59, max=7.343, mean=-0.2858, std=2.303, absmax=9.59 +2025-10-31 16:40:48,046 ERROR: Encountered non-finite generator loss at iter 3424; skipping update. +2025-10-31 16:40:48,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:48,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:48,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.26, mean=-0.1155, std=3.28, absmax=12.98 +2025-10-31 16:40:48,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.642, mean=-0.08661, std=2.76, absmax=11.03 +2025-10-31 16:40:48,545 ERROR: Encountered non-finite generator loss at iter 3425; skipping update. +2025-10-31 16:40:48,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:48,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:48,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:48,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:48,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=16.12, mean=-0.1311, std=3.036, absmax=16.12 +2025-10-31 16:40:48,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=10.62, mean=-0.1486, std=2.409, absmax=12.02 +2025-10-31 16:40:49,045 ERROR: Encountered non-finite generator loss at iter 3426; skipping update. +2025-10-31 16:40:49,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:49,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:49,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.84, mean=-0.2627, std=3.106, absmax=12.84 +2025-10-31 16:40:49,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=11.39, mean=-0.254, std=2.677, absmax=11.39 +2025-10-31 16:40:49,545 ERROR: Encountered non-finite generator loss at iter 3427; skipping update. +2025-10-31 16:40:49,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:49,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:49,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:49,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:49,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=13.44, mean=0.04871, std=3.143, absmax=13.44 +2025-10-31 16:40:49,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.636, max=11.91, mean=0.08225, std=2.826, absmax=11.91 +2025-10-31 16:40:50,044 ERROR: Encountered non-finite generator loss at iter 3428; skipping update. +2025-10-31 16:40:50,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:50,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:50,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=12.43, mean=-0.3272, std=3.359, absmax=14.68 +2025-10-31 16:40:50,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.37, max=9.481, mean=-0.2587, std=2.806, absmax=13.37 +2025-10-31 16:40:50,544 ERROR: Encountered non-finite generator loss at iter 3429; skipping update. +2025-10-31 16:40:50,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:50,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:50,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:50,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:50,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.16, mean=-0.1101, std=3.207, absmax=13.79 +2025-10-31 16:40:50,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.685, max=10.84, mean=-0.1357, std=2.713, absmax=10.84 +2025-10-31 16:40:51,044 ERROR: Encountered non-finite generator loss at iter 3430; skipping update. +2025-10-31 16:40:51,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:51,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:51,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.07, mean=-0.2439, std=2.684, absmax=14.07 +2025-10-31 16:40:51,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.444, max=9.444, mean=-0.2339, std=2.213, absmax=9.444 +2025-10-31 16:40:51,545 ERROR: Encountered non-finite generator loss at iter 3431; skipping update. +2025-10-31 16:40:51,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:51,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:51,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:51,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:51,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.85, mean=-0.3383, std=3.034, absmax=12.05 +2025-10-31 16:40:51,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=7.989, mean=-0.3691, std=2.694, absmax=11.2 +2025-10-31 16:40:52,046 ERROR: Encountered non-finite generator loss at iter 3432; skipping update. +2025-10-31 16:40:52,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:52,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:52,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.86, mean=-0.2117, std=3.041, absmax=13.86 +2025-10-31 16:40:52,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=10.35, mean=-0.1958, std=2.504, absmax=11.3 +2025-10-31 16:40:52,547 ERROR: Encountered non-finite generator loss at iter 3433; skipping update. +2025-10-31 16:40:52,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:52,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:52,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:52,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:52,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14, mean=-0.1048, std=3.504, absmax=14 +2025-10-31 16:40:52,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.54, mean=-0.1698, std=3.061, absmax=11.54 +2025-10-31 16:40:53,048 ERROR: Encountered non-finite generator loss at iter 3434; skipping update. +2025-10-31 16:40:53,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:53,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:53,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.86, mean=-0.112, std=3.063, absmax=12.68 +2025-10-31 16:40:53,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.807, mean=-0.1056, std=2.644, absmax=10.88 +2025-10-31 16:40:53,548 ERROR: Encountered non-finite generator loss at iter 3435; skipping update. +2025-10-31 16:40:53,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:53,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:53,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:53,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:53,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.63, mean=-0.1473, std=3.108, absmax=12.63 +2025-10-31 16:40:53,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.734, max=10.57, mean=-0.1303, std=2.587, absmax=10.57 +2025-10-31 16:40:54,048 ERROR: Encountered non-finite generator loss at iter 3436; skipping update. +2025-10-31 16:40:54,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:54,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:54,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.72, mean=-0.005575, std=3.314, absmax=14.17 +2025-10-31 16:40:54,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=9.911, mean=-0.08581, std=2.826, absmax=12.46 +2025-10-31 16:40:54,550 ERROR: Encountered non-finite generator loss at iter 3437; skipping update. +2025-10-31 16:40:54,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,553 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,553 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,554 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,555 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:54,556 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:54,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:54,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:54,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=12.4, mean=-0.3307, std=2.989, absmax=15.14 +2025-10-31 16:40:54,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.99, max=7.528, mean=-0.2772, std=2.478, absmax=12.99 +2025-10-31 16:40:55,048 ERROR: Encountered non-finite generator loss at iter 3438; skipping update. +2025-10-31 16:40:55,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:55,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:55,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.62, mean=-0.2625, std=3.091, absmax=14.62 +2025-10-31 16:40:55,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=12.43, mean=-0.2413, std=2.55, absmax=12.43 +2025-10-31 16:40:55,552 ERROR: Encountered non-finite generator loss at iter 3439; skipping update. +2025-10-31 16:40:55,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:55,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:55,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:55,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:55,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.9, mean=-0.1274, std=2.736, absmax=12.94 +2025-10-31 16:40:55,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.184, max=8.387, mean=-0.1598, std=2.299, absmax=9.184 +2025-10-31 16:40:56,052 ERROR: Encountered non-finite generator loss at iter 3440; skipping update. +2025-10-31 16:40:56,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,059 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:56,060 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:56,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=9.707, mean=-0.285, std=2.65, absmax=11.69 +2025-10-31 16:40:56,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=7.895, mean=-0.3167, std=2.291, absmax=11.3 +2025-10-31 16:40:56,554 ERROR: Encountered non-finite generator loss at iter 3441; skipping update. +2025-10-31 16:40:56,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:56,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:56,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:56,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:56,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=19.75, mean=-0.0543, std=2.861, absmax=19.75 +2025-10-31 16:40:56,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.386, max=13.79, mean=-0.06229, std=2.409, absmax=13.79 +2025-10-31 16:40:57,056 ERROR: Encountered non-finite generator loss at iter 3442; skipping update. +2025-10-31 16:40:57,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:57,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:57,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.62, mean=0.2974, std=3.684, absmax=13.62 +2025-10-31 16:40:57,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.973, max=11.73, mean=0.2508, std=2.988, absmax=11.73 +2025-10-31 16:40:57,558 ERROR: Encountered non-finite generator loss at iter 3443; skipping update. +2025-10-31 16:40:57,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:57,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:57,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:57,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:57,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.44, mean=-0.007663, std=3.791, absmax=14.44 +2025-10-31 16:40:57,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=14.22, mean=-0.03795, std=3.369, absmax=14.22 +2025-10-31 16:40:58,058 ERROR: Encountered non-finite generator loss at iter 3444; skipping update. +2025-10-31 16:40:58,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:58,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:58,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.43, mean=-0.2805, std=3.354, absmax=15 +2025-10-31 16:40:58,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=10.49, mean=-0.2612, std=2.72, absmax=11.89 +2025-10-31 16:40:58,561 ERROR: Encountered non-finite generator loss at iter 3445; skipping update. +2025-10-31 16:40:58,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:58,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:58,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:58,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:58,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=10.3, mean=-0.2105, std=2.833, absmax=12.52 +2025-10-31 16:40:58,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.19, max=8.777, mean=-0.2197, std=2.466, absmax=9.19 +2025-10-31 16:40:59,063 ERROR: Encountered non-finite generator loss at iter 3446; skipping update. +2025-10-31 16:40:59,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:59,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:59,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.43, max=12.22, mean=-0.186, std=2.705, absmax=12.22 +2025-10-31 16:40:59,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.668, max=9.753, mean=-0.1417, std=2.286, absmax=9.753 +2025-10-31 16:40:59,566 ERROR: Encountered non-finite generator loss at iter 3447; skipping update. +2025-10-31 16:40:59,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:40:59,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:40:59,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:40:59,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:40:59,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=16.66, mean=-0.2141, std=3.046, absmax=16.66 +2025-10-31 16:40:59,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=11.34, mean=-0.2435, std=2.773, absmax=11.34 +2025-10-31 16:41:00,070 ERROR: Encountered non-finite generator loss at iter 3448; skipping update. +2025-10-31 16:41:00,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:00,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:00,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.92, mean=-0.3214, std=2.789, absmax=13.92 +2025-10-31 16:41:00,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.224, max=10.82, mean=-0.2941, std=2.216, absmax=10.82 +2025-10-31 16:41:00,574 ERROR: Encountered non-finite generator loss at iter 3449; skipping update. +2025-10-31 16:41:00,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:00,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:00,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:00,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:00,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.64, mean=0.006018, std=2.933, absmax=14.64 +2025-10-31 16:41:00,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.232, max=10.53, mean=-0.04144, std=2.453, absmax=10.53 +2025-10-31 16:41:01,077 ERROR: Encountered non-finite generator loss at iter 3450; skipping update. +2025-10-31 16:41:01,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:01,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:01,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.33, mean=-0.00425, std=3.109, absmax=13.33 +2025-10-31 16:41:01,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.83, max=11.72, mean=-0.05974, std=2.636, absmax=11.72 +2025-10-31 16:41:01,581 ERROR: Encountered non-finite generator loss at iter 3451; skipping update. +2025-10-31 16:41:01,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:01,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:01,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:01,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:01,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=14.03, mean=-0.196, std=2.919, absmax=14.03 +2025-10-31 16:41:01,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=10.83, mean=-0.2306, std=2.508, absmax=11.24 +2025-10-31 16:41:02,085 ERROR: Encountered non-finite generator loss at iter 3452; skipping update. +2025-10-31 16:41:02,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:02,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:02,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.1, mean=-0.1657, std=2.516, absmax=12.63 +2025-10-31 16:41:02,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.341, max=7.691, mean=-0.1482, std=2.104, absmax=9.341 +2025-10-31 16:41:02,589 ERROR: Encountered non-finite generator loss at iter 3453; skipping update. +2025-10-31 16:41:02,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:02,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:02,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:02,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:02,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.24, mean=-0.341, std=3.216, absmax=13.52 +2025-10-31 16:41:02,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=9.909, mean=-0.2747, std=2.831, absmax=11.47 +2025-10-31 16:41:03,094 ERROR: Encountered non-finite generator loss at iter 3454; skipping update. +2025-10-31 16:41:03,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:03,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:03,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.28, mean=-0.2241, std=2.788, absmax=13.4 +2025-10-31 16:41:03,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=8.039, mean=-0.2287, std=2.429, absmax=11.75 +2025-10-31 16:41:03,599 ERROR: Encountered non-finite generator loss at iter 3455; skipping update. +2025-10-31 16:41:03,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:03,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:03,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:03,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:03,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.56, mean=-0.1468, std=2.793, absmax=13.56 +2025-10-31 16:41:03,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=9.588, mean=-0.1406, std=2.428, absmax=9.721 +2025-10-31 16:41:04,101 ERROR: Encountered non-finite generator loss at iter 3456; skipping update. +2025-10-31 16:41:04,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:04,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:04,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=11.88, mean=0.01474, std=2.632, absmax=11.88 +2025-10-31 16:41:04,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=9.094, mean=0.02645, std=2.359, absmax=9.929 +2025-10-31 16:41:04,605 ERROR: Encountered non-finite generator loss at iter 3457; skipping update. +2025-10-31 16:41:04,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,608 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,608 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:04,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:04,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:04,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:04,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.2, mean=-0.1181, std=3.903, absmax=13.65 +2025-10-31 16:41:04,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.27, max=10.66, mean=-0.1336, std=3.441, absmax=13.27 +2025-10-31 16:41:05,109 ERROR: Encountered non-finite generator loss at iter 3458; skipping update. +2025-10-31 16:41:05,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:05,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:05,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.88, mean=0.04448, std=3.243, absmax=14.88 +2025-10-31 16:41:05,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.966, max=12.77, mean=0.02488, std=2.748, absmax=12.77 +2025-10-31 16:41:05,614 ERROR: Encountered non-finite generator loss at iter 3459; skipping update. +2025-10-31 16:41:05,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:05,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:05,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:05,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:05,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.5, mean=-0.1164, std=2.768, absmax=12.89 +2025-10-31 16:41:05,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.864, max=9.506, mean=-0.1072, std=2.241, absmax=9.864 +2025-10-31 16:41:06,118 ERROR: Encountered non-finite generator loss at iter 3460; skipping update. +2025-10-31 16:41:06,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:06,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:06,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.47, mean=-0.1711, std=2.815, absmax=14.47 +2025-10-31 16:41:06,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.59, mean=-0.1644, std=2.415, absmax=10.59 +2025-10-31 16:41:06,621 ERROR: Encountered non-finite generator loss at iter 3461; skipping update. +2025-10-31 16:41:06,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:06,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:06,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:06,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:06,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.95, mean=-0.3184, std=3.043, absmax=13.33 +2025-10-31 16:41:06,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.469, max=8.996, mean=-0.2913, std=2.585, absmax=9.469 +2025-10-31 16:41:07,125 ERROR: Encountered non-finite generator loss at iter 3462; skipping update. +2025-10-31 16:41:07,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:07,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:07,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.86, mean=-0.05256, std=2.794, absmax=13.11 +2025-10-31 16:41:07,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=9.217, mean=-0.09561, std=2.306, absmax=9.824 +2025-10-31 16:41:07,629 ERROR: Encountered non-finite generator loss at iter 3463; skipping update. +2025-10-31 16:41:07,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:07,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:07,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:07,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:07,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=14.55, mean=-0.09796, std=2.994, absmax=14.55 +2025-10-31 16:41:07,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.529, max=10.25, mean=-0.1155, std=2.196, absmax=10.25 +2025-10-31 16:41:08,134 ERROR: Encountered non-finite generator loss at iter 3464; skipping update. +2025-10-31 16:41:08,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:08,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:08,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.47, mean=-0.2427, std=2.707, absmax=12.06 +2025-10-31 16:41:08,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=8.387, mean=-0.2896, std=2.299, absmax=10.8 +2025-10-31 16:41:08,640 ERROR: Encountered non-finite generator loss at iter 3465; skipping update. +2025-10-31 16:41:08,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:08,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:08,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:08,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:08,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.87, mean=0.00148, std=3.567, absmax=15.87 +2025-10-31 16:41:08,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=14.13, mean=0.02408, std=2.964, absmax=14.13 +2025-10-31 16:41:09,144 ERROR: Encountered non-finite generator loss at iter 3466; skipping update. +2025-10-31 16:41:09,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:09,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:09,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=15.27, mean=-0.2512, std=3.069, absmax=15.27 +2025-10-31 16:41:09,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.458, mean=-0.2726, std=2.537, absmax=11.12 +2025-10-31 16:41:09,648 ERROR: Encountered non-finite generator loss at iter 3467; skipping update. +2025-10-31 16:41:09,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:09,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:09,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:09,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:09,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.86, mean=-0.05443, std=3.116, absmax=12.86 +2025-10-31 16:41:09,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.24, mean=-0.08264, std=2.642, absmax=10.9 +2025-10-31 16:41:10,154 ERROR: Encountered non-finite generator loss at iter 3468; skipping update. +2025-10-31 16:41:10,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:10,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:10,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.6, mean=-0.1525, std=2.359, absmax=11.93 +2025-10-31 16:41:10,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.235, max=7.532, mean=-0.1506, std=1.951, absmax=8.235 +2025-10-31 16:41:10,658 ERROR: Encountered non-finite generator loss at iter 3469; skipping update. +2025-10-31 16:41:10,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:10,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:10,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:10,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:10,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=11.54, mean=-0.3857, std=2.56, absmax=11.54 +2025-10-31 16:41:10,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.908, mean=-0.3698, std=2.375, absmax=10.41 +2025-10-31 16:41:11,165 ERROR: Encountered non-finite generator loss at iter 3470; skipping update. +2025-10-31 16:41:11,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,172 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:11,173 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:11,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.92, mean=-0.02862, std=3.054, absmax=12.8 +2025-10-31 16:41:11,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=9.57, mean=-0.07117, std=2.463, absmax=11.32 +2025-10-31 16:41:11,670 ERROR: Encountered non-finite generator loss at iter 3471; skipping update. +2025-10-31 16:41:11,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:11,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:11,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:11,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:11,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.4, mean=0.03412, std=2.906, absmax=12.21 +2025-10-31 16:41:11,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.334, max=10.04, mean=0.02501, std=2.426, absmax=10.04 +2025-10-31 16:41:12,177 ERROR: Encountered non-finite generator loss at iter 3472; skipping update. +2025-10-31 16:41:12,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:12,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:12,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=13.8, mean=-0.1329, std=3.326, absmax=14.67 +2025-10-31 16:41:12,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=12.58, mean=-0.1415, std=3.106, absmax=12.58 +2025-10-31 16:41:12,681 ERROR: Encountered non-finite generator loss at iter 3473; skipping update. +2025-10-31 16:41:12,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:12,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:12,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:12,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:12,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.23, max=12.81, mean=-0.006526, std=2.843, absmax=12.81 +2025-10-31 16:41:12,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.697, max=11.25, mean=0.009035, std=2.462, absmax=11.25 +2025-10-31 16:41:13,187 ERROR: Encountered non-finite generator loss at iter 3474; skipping update. +2025-10-31 16:41:13,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:13,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:13,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.3, mean=-0.1514, std=3.435, absmax=15.3 +2025-10-31 16:41:13,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=13.01, mean=-0.1782, std=2.934, absmax=13.01 +2025-10-31 16:41:13,691 ERROR: Encountered non-finite generator loss at iter 3475; skipping update. +2025-10-31 16:41:13,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:13,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:13,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:13,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:13,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.34, mean=-0.3461, std=2.837, absmax=13.34 +2025-10-31 16:41:13,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.6, mean=-0.3164, std=2.429, absmax=10.19 +2025-10-31 16:41:14,197 ERROR: Encountered non-finite generator loss at iter 3476; skipping update. +2025-10-31 16:41:14,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:14,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:14,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.84, mean=0.0162, std=3.274, absmax=14.84 +2025-10-31 16:41:14,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.772, mean=-0.02918, std=2.665, absmax=11.1 +2025-10-31 16:41:14,702 ERROR: Encountered non-finite generator loss at iter 3477; skipping update. +2025-10-31 16:41:14,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:14,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:14,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:14,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:14,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=15.28, mean=-0.02955, std=2.989, absmax=15.28 +2025-10-31 16:41:14,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.738, max=11.13, mean=-0.08176, std=2.462, absmax=11.13 +2025-10-31 16:41:15,206 ERROR: Encountered non-finite generator loss at iter 3478; skipping update. +2025-10-31 16:41:15,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:15,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:15,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.12, mean=-0.1682, std=2.5, absmax=12.12 +2025-10-31 16:41:15,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.731, max=10.1, mean=-0.1875, std=2.169, absmax=10.1 +2025-10-31 16:41:15,711 ERROR: Encountered non-finite generator loss at iter 3479; skipping update. +2025-10-31 16:41:15,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,714 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:15,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:15,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:15,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:15,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=16.75, mean=-0.1775, std=2.972, absmax=16.75 +2025-10-31 16:41:15,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.11, mean=-0.1837, std=2.484, absmax=11.52 +2025-10-31 16:41:16,216 ERROR: Encountered non-finite generator loss at iter 3480; skipping update. +2025-10-31 16:41:16,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:16,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:16,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=10.4, mean=-0.2321, std=2.292, absmax=11.44 +2025-10-31 16:41:16,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.47, max=7.758, mean=-0.2618, std=2.089, absmax=8.47 +2025-10-31 16:41:16,720 ERROR: Encountered non-finite generator loss at iter 3481; skipping update. +2025-10-31 16:41:16,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:16,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:16,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:16,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:16,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.84, mean=0.2036, std=3.616, absmax=14.21 +2025-10-31 16:41:16,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.017, max=10.43, mean=0.1772, std=2.935, absmax=10.43 +2025-10-31 16:41:17,223 ERROR: Encountered non-finite generator loss at iter 3482; skipping update. +2025-10-31 16:41:17,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:17,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:17,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.58, mean=-0.2575, std=2.871, absmax=13.97 +2025-10-31 16:41:17,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.61, max=9.459, mean=-0.2298, std=2.292, absmax=9.61 +2025-10-31 16:41:17,727 ERROR: Encountered non-finite generator loss at iter 3483; skipping update. +2025-10-31 16:41:17,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:17,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:17,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:17,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:17,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.47, mean=0.008114, std=3.096, absmax=13.47 +2025-10-31 16:41:17,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.106, max=12.18, mean=0.001935, std=2.577, absmax=12.18 +2025-10-31 16:41:18,231 ERROR: Encountered non-finite generator loss at iter 3484; skipping update. +2025-10-31 16:41:18,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:18,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:18,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=13.11, mean=-0.1411, std=2.374, absmax=13.11 +2025-10-31 16:41:18,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.493, max=8.144, mean=-0.1437, std=2.087, absmax=8.493 +2025-10-31 16:41:18,733 ERROR: Encountered non-finite generator loss at iter 3485; skipping update. +2025-10-31 16:41:18,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:18,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:18,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:18,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:18,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=16.35, mean=0.03713, std=3.262, absmax=16.35 +2025-10-31 16:41:18,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.75, max=11.64, mean=0.01958, std=2.709, absmax=13.75 +2025-10-31 16:41:19,233 ERROR: Encountered non-finite generator loss at iter 3486; skipping update. +2025-10-31 16:41:19,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:19,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:19,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=15.1, mean=-0.105, std=2.845, absmax=15.1 +2025-10-31 16:41:19,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.674, max=11.95, mean=-0.07479, std=2.548, absmax=11.95 +2025-10-31 16:41:19,735 ERROR: Encountered non-finite generator loss at iter 3487; skipping update. +2025-10-31 16:41:19,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:19,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:19,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:19,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:19,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.23, mean=-0.06125, std=2.854, absmax=13.73 +2025-10-31 16:41:19,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.212, max=10.42, mean=-0.04588, std=2.491, absmax=10.42 +2025-10-31 16:41:20,237 ERROR: Encountered non-finite generator loss at iter 3488; skipping update. +2025-10-31 16:41:20,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:20,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:20,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=17.01, mean=-0.0777, std=3.091, absmax=17.01 +2025-10-31 16:41:20,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=16.53, mean=-0.1136, std=2.845, absmax=16.53 +2025-10-31 16:41:20,737 ERROR: Encountered non-finite generator loss at iter 3489; skipping update. +2025-10-31 16:41:20,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:20,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:20,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:20,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:20,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.68, mean=-0.1208, std=2.789, absmax=13.57 +2025-10-31 16:41:20,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.808, max=9.05, mean=-0.114, std=2.158, absmax=9.05 +2025-10-31 16:41:21,237 ERROR: Encountered non-finite generator loss at iter 3490; skipping update. +2025-10-31 16:41:21,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:21,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:21,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=16.32, mean=0.1927, std=3.802, absmax=16.32 +2025-10-31 16:41:21,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=12.22, mean=0.1356, std=3.125, absmax=12.22 +2025-10-31 16:41:21,737 ERROR: Encountered non-finite generator loss at iter 3491; skipping update. +2025-10-31 16:41:21,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:21,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:21,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:21,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:21,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.72, mean=-0.2277, std=3.325, absmax=12.88 +2025-10-31 16:41:21,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.66, mean=-0.2259, std=2.805, absmax=10.68 +2025-10-31 16:41:22,237 ERROR: Encountered non-finite generator loss at iter 3492; skipping update. +2025-10-31 16:41:22,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:22,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:22,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.19, mean=-0.1819, std=2.921, absmax=12.94 +2025-10-31 16:41:22,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.92, mean=-0.1871, std=2.435, absmax=10.92 +2025-10-31 16:41:22,738 ERROR: Encountered non-finite generator loss at iter 3493; skipping update. +2025-10-31 16:41:22,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:22,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:22,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:22,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:22,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.05, mean=-0.1508, std=2.786, absmax=12.28 +2025-10-31 16:41:22,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.534, max=8.681, mean=-0.1369, std=2.275, absmax=9.534 +2025-10-31 16:41:23,238 ERROR: Encountered non-finite generator loss at iter 3494; skipping update. +2025-10-31 16:41:23,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:23,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:23,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=12.19, mean=0.02371, std=2.734, absmax=12.19 +2025-10-31 16:41:23,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.894, max=9.613, mean=-0.05145, std=2.17, absmax=9.613 +2025-10-31 16:41:23,737 ERROR: Encountered non-finite generator loss at iter 3495; skipping update. +2025-10-31 16:41:23,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:23,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:23,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:23,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:23,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=10.66, mean=-0.2537, std=2.692, absmax=12.59 +2025-10-31 16:41:23,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=7.451, mean=-0.2279, std=2.226, absmax=10.45 +2025-10-31 16:41:24,239 ERROR: Encountered non-finite generator loss at iter 3496; skipping update. +2025-10-31 16:41:24,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,241 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:24,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:24,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.21, mean=-0.09931, std=2.993, absmax=14.21 +2025-10-31 16:41:24,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.594, max=11.58, mean=-0.09403, std=2.486, absmax=11.58 +2025-10-31 16:41:24,738 ERROR: Encountered non-finite generator loss at iter 3497; skipping update. +2025-10-31 16:41:24,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:24,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:24,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:24,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:24,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=15.03, mean=-0.2624, std=3.696, absmax=15.03 +2025-10-31 16:41:24,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=10.55, mean=-0.2431, std=2.86, absmax=12.29 +2025-10-31 16:41:25,239 ERROR: Encountered non-finite generator loss at iter 3498; skipping update. +2025-10-31 16:41:25,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,241 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:25,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:25,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.31, mean=-0.368, std=2.759, absmax=14.31 +2025-10-31 16:41:25,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.236, mean=-0.3597, std=2.337, absmax=10.49 +2025-10-31 16:41:25,740 ERROR: Encountered non-finite generator loss at iter 3499; skipping update. +2025-10-31 16:41:25,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:25,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:25,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:25,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:25,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.1, mean=-0.1806, std=2.672, absmax=12.8 +2025-10-31 16:41:25,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.649, max=7.615, mean=-0.1799, std=2.159, absmax=8.649 +2025-10-31 16:41:26,242 ERROR: Encountered non-finite generator loss at iter 3500; skipping update. +2025-10-31 16:41:26,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:26,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:26,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=16.3, mean=-0.1983, std=3.222, absmax=16.3 +2025-10-31 16:41:26,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.39, mean=-0.1682, std=2.74, absmax=10.85 +2025-10-31 16:41:26,252 INFO: [29..][epoch: 0, step: 3,500, lr:(1.500e-04,)] [eta: 1 day, 19:55:00, time (data): 0.502 (0.000)] +2025-10-31 16:41:26,743 ERROR: Encountered non-finite generator loss at iter 3501; skipping update. +2025-10-31 16:41:26,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:26,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:26,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:26,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:26,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.11, mean=-0.11, std=2.621, absmax=13.67 +2025-10-31 16:41:26,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.835, max=10.91, mean=-0.1014, std=2.285, absmax=10.91 +2025-10-31 16:41:27,242 ERROR: Encountered non-finite generator loss at iter 3502; skipping update. +2025-10-31 16:41:27,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:27,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:27,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.99, mean=-0.3281, std=3.29, absmax=14.34 +2025-10-31 16:41:27,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.92, mean=-0.2575, std=2.826, absmax=10.95 +2025-10-31 16:41:27,744 ERROR: Encountered non-finite generator loss at iter 3503; skipping update. +2025-10-31 16:41:27,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:27,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:27,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:27,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:27,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.82, mean=0.004047, std=3.083, absmax=13.82 +2025-10-31 16:41:27,753 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.84, mean=-0.007169, std=2.552, absmax=11.11 +2025-10-31 16:41:28,244 ERROR: Encountered non-finite generator loss at iter 3504; skipping update. +2025-10-31 16:41:28,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:28,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:28,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.66, mean=-0.2305, std=3, absmax=12.66 +2025-10-31 16:41:28,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.445, max=8.542, mean=-0.2192, std=2.482, absmax=9.445 +2025-10-31 16:41:28,747 ERROR: Encountered non-finite generator loss at iter 3505; skipping update. +2025-10-31 16:41:28,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:28,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:28,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:28,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:28,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=10.6, mean=-0.1177, std=2.437, absmax=10.91 +2025-10-31 16:41:28,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.906, max=9.239, mean=-0.1525, std=2.077, absmax=9.239 +2025-10-31 16:41:29,251 ERROR: Encountered non-finite generator loss at iter 3506; skipping update. +2025-10-31 16:41:29,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:29,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:29,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=9.711, mean=-0.1718, std=2.506, absmax=10.49 +2025-10-31 16:41:29,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.272, max=8.337, mean=-0.1555, std=2.195, absmax=8.337 +2025-10-31 16:41:29,753 ERROR: Encountered non-finite generator loss at iter 3507; skipping update. +2025-10-31 16:41:29,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:29,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:29,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:29,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:29,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.63, mean=-0.08294, std=3.202, absmax=13.63 +2025-10-31 16:41:29,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=10.54, mean=-0.09682, std=2.662, absmax=10.54 +2025-10-31 16:41:30,255 ERROR: Encountered non-finite generator loss at iter 3508; skipping update. +2025-10-31 16:41:30,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:30,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:30,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.28, mean=-0.1079, std=2.622, absmax=13.28 +2025-10-31 16:41:30,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.416, mean=-0.1858, std=2.295, absmax=11.28 +2025-10-31 16:41:30,757 ERROR: Encountered non-finite generator loss at iter 3509; skipping update. +2025-10-31 16:41:30,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:30,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:30,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:30,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:30,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.77, mean=0.01357, std=3.075, absmax=13.2 +2025-10-31 16:41:30,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.1, mean=-0.007775, std=2.494, absmax=10.68 +2025-10-31 16:41:31,258 ERROR: Encountered non-finite generator loss at iter 3510; skipping update. +2025-10-31 16:41:31,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:31,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:31,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=10.83, mean=-0.2917, std=2.891, absmax=12.19 +2025-10-31 16:41:31,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.02, mean=-0.2877, std=2.431, absmax=10.59 +2025-10-31 16:41:31,759 ERROR: Encountered non-finite generator loss at iter 3511; skipping update. +2025-10-31 16:41:31,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:31,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:31,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:31,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:31,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.18, mean=-0.1215, std=2.96, absmax=14.33 +2025-10-31 16:41:31,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.979, max=9.593, mean=-0.1106, std=2.482, absmax=9.593 +2025-10-31 16:41:32,262 ERROR: Encountered non-finite generator loss at iter 3512; skipping update. +2025-10-31 16:41:32,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:32,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:32,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.81, mean=0.1634, std=3.893, absmax=14.81 +2025-10-31 16:41:32,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=13.49, mean=0.1385, std=3.284, absmax=13.49 +2025-10-31 16:41:32,763 ERROR: Encountered non-finite generator loss at iter 3513; skipping update. +2025-10-31 16:41:32,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,765 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:32,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:32,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:32,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:32,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.85, mean=-0.004475, std=2.986, absmax=13.85 +2025-10-31 16:41:32,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.689, mean=0.01284, std=2.508, absmax=10.33 +2025-10-31 16:41:33,264 ERROR: Encountered non-finite generator loss at iter 3514; skipping update. +2025-10-31 16:41:33,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:33,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:33,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.43, mean=-0.1827, std=2.872, absmax=13.43 +2025-10-31 16:41:33,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.573, mean=-0.1597, std=2.262, absmax=10.81 +2025-10-31 16:41:33,767 ERROR: Encountered non-finite generator loss at iter 3515; skipping update. +2025-10-31 16:41:33,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:33,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:33,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:33,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:33,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=12.71, mean=-0.2461, std=3.489, absmax=14.47 +2025-10-31 16:41:33,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.69, max=10.53, mean=-0.2135, std=3.045, absmax=12.69 +2025-10-31 16:41:34,270 ERROR: Encountered non-finite generator loss at iter 3516; skipping update. +2025-10-31 16:41:34,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:34,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:34,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.16, mean=-0.1034, std=3.533, absmax=15.16 +2025-10-31 16:41:34,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=12.43, mean=-0.06846, std=3.07, absmax=12.43 +2025-10-31 16:41:34,772 ERROR: Encountered non-finite generator loss at iter 3517; skipping update. +2025-10-31 16:41:34,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:34,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:34,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:34,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:34,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.15, mean=-0.1371, std=3.348, absmax=14.15 +2025-10-31 16:41:34,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.92, mean=-0.1322, std=2.644, absmax=11.92 +2025-10-31 16:41:35,275 ERROR: Encountered non-finite generator loss at iter 3518; skipping update. +2025-10-31 16:41:35,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:35,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:35,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.15, mean=-0.2437, std=3.257, absmax=13.26 +2025-10-31 16:41:35,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.574, mean=-0.2231, std=2.654, absmax=10.4 +2025-10-31 16:41:35,776 ERROR: Encountered non-finite generator loss at iter 3519; skipping update. +2025-10-31 16:41:35,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:35,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:35,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:35,784 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:35,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=15.46, mean=-0.2322, std=3.465, absmax=15.46 +2025-10-31 16:41:35,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=10.2, mean=-0.2293, std=2.732, absmax=10.2 +2025-10-31 16:41:36,279 ERROR: Encountered non-finite generator loss at iter 3520; skipping update. +2025-10-31 16:41:36,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,283 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,286 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:36,287 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:36,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=16.43, mean=-0.07809, std=2.713, absmax=16.43 +2025-10-31 16:41:36,289 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.877, max=10.76, mean=-0.1182, std=2.324, absmax=10.76 +2025-10-31 16:41:36,782 ERROR: Encountered non-finite generator loss at iter 3521; skipping update. +2025-10-31 16:41:36,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:36,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:36,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:36,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:36,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.08, mean=-0.1003, std=3.086, absmax=15.08 +2025-10-31 16:41:36,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.43, mean=-0.1051, std=2.532, absmax=10.43 +2025-10-31 16:41:37,285 ERROR: Encountered non-finite generator loss at iter 3522; skipping update. +2025-10-31 16:41:37,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:37,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:37,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.9, mean=-0.196, std=2.957, absmax=12.9 +2025-10-31 16:41:37,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.144, max=9.182, mean=-0.1829, std=2.393, absmax=9.182 +2025-10-31 16:41:37,787 ERROR: Encountered non-finite generator loss at iter 3523; skipping update. +2025-10-31 16:41:37,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:37,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:37,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:37,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:37,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.58, mean=-0.04036, std=2.725, absmax=14.58 +2025-10-31 16:41:37,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.437, mean=-0.02638, std=2.399, absmax=10.37 +2025-10-31 16:41:38,289 ERROR: Encountered non-finite generator loss at iter 3524; skipping update. +2025-10-31 16:41:38,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:38,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:38,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=15.83, mean=-0.1773, std=2.843, absmax=15.83 +2025-10-31 16:41:38,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=10.31, mean=-0.1849, std=2.513, absmax=12.05 +2025-10-31 16:41:38,792 ERROR: Encountered non-finite generator loss at iter 3525; skipping update. +2025-10-31 16:41:38,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,794 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:38,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:38,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:38,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:38,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.4, mean=-0.1821, std=2.806, absmax=12.09 +2025-10-31 16:41:38,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.453, max=9.576, mean=-0.2129, std=2.325, absmax=9.576 +2025-10-31 16:41:39,295 ERROR: Encountered non-finite generator loss at iter 3526; skipping update. +2025-10-31 16:41:39,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:39,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:39,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=15.35, mean=-0.1487, std=2.693, absmax=15.35 +2025-10-31 16:41:39,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.502, max=9.052, mean=-0.1994, std=2.256, absmax=9.052 +2025-10-31 16:41:39,797 ERROR: Encountered non-finite generator loss at iter 3527; skipping update. +2025-10-31 16:41:39,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:39,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:39,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:39,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:39,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.6, mean=0.08433, std=3.344, absmax=13.74 +2025-10-31 16:41:39,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.56, mean=0.02752, std=2.919, absmax=11.56 +2025-10-31 16:41:40,299 ERROR: Encountered non-finite generator loss at iter 3528; skipping update. +2025-10-31 16:41:40,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:40,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:40,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.94, mean=-0.3236, std=3.513, absmax=14.94 +2025-10-31 16:41:40,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=11.4, mean=-0.282, std=2.921, absmax=11.75 +2025-10-31 16:41:40,801 ERROR: Encountered non-finite generator loss at iter 3529; skipping update. +2025-10-31 16:41:40,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,803 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:40,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:40,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:40,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:40,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.17, mean=-0.1453, std=2.859, absmax=14.35 +2025-10-31 16:41:40,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.923, mean=-0.1759, std=2.386, absmax=11.2 +2025-10-31 16:41:41,303 ERROR: Encountered non-finite generator loss at iter 3530; skipping update. +2025-10-31 16:41:41,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:41,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:41,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.23, mean=0.0008501, std=3.058, absmax=14.17 +2025-10-31 16:41:41,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=11.35, mean=0.01247, std=2.623, absmax=11.45 +2025-10-31 16:41:41,803 ERROR: Encountered non-finite generator loss at iter 3531; skipping update. +2025-10-31 16:41:41,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:41,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:41,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:41,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:41,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=15.48, mean=0.05995, std=2.713, absmax=15.48 +2025-10-31 16:41:41,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.887, max=10.98, mean=0.02693, std=2.244, absmax=10.98 +2025-10-31 16:41:42,306 ERROR: Encountered non-finite generator loss at iter 3532; skipping update. +2025-10-31 16:41:42,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:42,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:42,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.27, mean=-0.1136, std=2.501, absmax=13.27 +2025-10-31 16:41:42,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.203, max=9.21, mean=-0.1346, std=2.149, absmax=9.21 +2025-10-31 16:41:42,806 ERROR: Encountered non-finite generator loss at iter 3533; skipping update. +2025-10-31 16:41:42,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:42,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:42,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:42,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:42,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=17.14, mean=-0.03416, std=3.071, absmax=17.14 +2025-10-31 16:41:42,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.683, max=12.67, mean=-0.0636, std=2.573, absmax=12.67 +2025-10-31 16:41:43,309 ERROR: Encountered non-finite generator loss at iter 3534; skipping update. +2025-10-31 16:41:43,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,314 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:43,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:43,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=12.17, mean=-0.2273, std=2.501, absmax=12.17 +2025-10-31 16:41:43,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.326, max=7.687, mean=-0.2289, std=2.029, absmax=8.326 +2025-10-31 16:41:43,812 ERROR: Encountered non-finite generator loss at iter 3535; skipping update. +2025-10-31 16:41:43,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:43,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:43,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:43,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:43,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.61, mean=-0.2114, std=2.925, absmax=14.1 +2025-10-31 16:41:43,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.281, mean=-0.2075, std=2.509, absmax=10.47 +2025-10-31 16:41:44,313 ERROR: Encountered non-finite generator loss at iter 3536; skipping update. +2025-10-31 16:41:44,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:44,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:44,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=12.46, mean=-0.3913, std=2.838, absmax=13.86 +2025-10-31 16:41:44,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.803, max=9.489, mean=-0.3839, std=2.445, absmax=9.803 +2025-10-31 16:41:44,815 ERROR: Encountered non-finite generator loss at iter 3537; skipping update. +2025-10-31 16:41:44,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:44,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:44,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:44,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:44,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.56, mean=-0.09186, std=2.47, absmax=13.56 +2025-10-31 16:41:44,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.275, max=10.05, mean=-0.1126, std=2.172, absmax=10.05 +2025-10-31 16:41:45,315 ERROR: Encountered non-finite generator loss at iter 3538; skipping update. +2025-10-31 16:41:45,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:45,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:45,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=9.526, mean=-0.3282, std=3.165, absmax=12.91 +2025-10-31 16:41:45,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=7.985, mean=-0.3367, std=2.76, absmax=10.66 +2025-10-31 16:41:45,815 ERROR: Encountered non-finite generator loss at iter 3539; skipping update. +2025-10-31 16:41:45,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:45,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:45,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:45,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:45,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=20.78, mean=-0.1348, std=3.208, absmax=20.78 +2025-10-31 16:41:45,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=14.88, mean=-0.1081, std=2.667, absmax=14.88 +2025-10-31 16:41:46,315 ERROR: Encountered non-finite generator loss at iter 3540; skipping update. +2025-10-31 16:41:46,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:46,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:46,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.03, mean=-0.3034, std=2.709, absmax=12.03 +2025-10-31 16:41:46,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=8.415, mean=-0.2827, std=2.395, absmax=9.549 +2025-10-31 16:41:46,816 ERROR: Encountered non-finite generator loss at iter 3541; skipping update. +2025-10-31 16:41:46,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:46,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:46,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:46,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:46,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.66, max=14.44, mean=0.06325, std=3.31, absmax=16.66 +2025-10-31 16:41:46,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=11.97, mean=0.04254, std=2.705, absmax=11.97 +2025-10-31 16:41:47,317 ERROR: Encountered non-finite generator loss at iter 3542; skipping update. +2025-10-31 16:41:47,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:47,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:47,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.51, mean=-0.1219, std=2.911, absmax=14.51 +2025-10-31 16:41:47,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=14.25, mean=-0.1561, std=2.601, absmax=14.25 +2025-10-31 16:41:47,817 ERROR: Encountered non-finite generator loss at iter 3543; skipping update. +2025-10-31 16:41:47,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,820 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,821 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,822 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:47,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:47,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:47,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:47,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.23, mean=-0.05944, std=3.359, absmax=12.38 +2025-10-31 16:41:47,826 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=9.934, mean=-0.08154, std=2.692, absmax=10.35 +2025-10-31 16:41:48,318 ERROR: Encountered non-finite generator loss at iter 3544; skipping update. +2025-10-31 16:41:48,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:48,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:48,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.54, mean=-0.07534, std=3.081, absmax=14.01 +2025-10-31 16:41:48,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=10.55, mean=-0.05758, std=2.532, absmax=10.55 +2025-10-31 16:41:48,819 ERROR: Encountered non-finite generator loss at iter 3545; skipping update. +2025-10-31 16:41:48,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,821 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:48,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:48,823 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:48,824 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:48,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.4, max=12.77, mean=-0.2093, std=2.344, absmax=12.77 +2025-10-31 16:41:48,826 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.383, max=10.42, mean=-0.2026, std=2.023, absmax=10.42 +2025-10-31 16:41:49,317 ERROR: Encountered non-finite generator loss at iter 3546; skipping update. +2025-10-31 16:41:49,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:49,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:49,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.59, mean=-0.113, std=3.02, absmax=12.59 +2025-10-31 16:41:49,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.175, max=10.64, mean=-0.1271, std=2.508, absmax=10.64 +2025-10-31 16:41:49,819 ERROR: Encountered non-finite generator loss at iter 3547; skipping update. +2025-10-31 16:41:49,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:49,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:49,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:49,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:49,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=14.08, mean=-0.0396, std=2.958, absmax=14.08 +2025-10-31 16:41:49,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=11.32, mean=-0.05841, std=2.582, absmax=11.32 +2025-10-31 16:41:50,320 ERROR: Encountered non-finite generator loss at iter 3548; skipping update. +2025-10-31 16:41:50,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:50,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:50,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.32, mean=-0.3021, std=2.914, absmax=13.21 +2025-10-31 16:41:50,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.077, mean=-0.2086, std=2.561, absmax=10.32 +2025-10-31 16:41:50,821 ERROR: Encountered non-finite generator loss at iter 3549; skipping update. +2025-10-31 16:41:50,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:50,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:50,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:50,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:50,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=13.14, mean=-0.1763, std=3.264, absmax=14.6 +2025-10-31 16:41:50,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.6, mean=-0.1836, std=2.711, absmax=11.66 +2025-10-31 16:41:51,323 ERROR: Encountered non-finite generator loss at iter 3550; skipping update. +2025-10-31 16:41:51,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:51,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:51,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.83, mean=-0.05304, std=3.054, absmax=12.83 +2025-10-31 16:41:51,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.668, max=11.22, mean=-0.04656, std=2.55, absmax=11.22 +2025-10-31 16:41:51,821 ERROR: Encountered non-finite generator loss at iter 3551; skipping update. +2025-10-31 16:41:51,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:51,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:51,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:51,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:51,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.33, mean=-0.2418, std=2.501, absmax=12.43 +2025-10-31 16:41:51,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=8.34, mean=-0.232, std=2.114, absmax=9.601 +2025-10-31 16:41:52,322 ERROR: Encountered non-finite generator loss at iter 3552; skipping update. +2025-10-31 16:41:52,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:52,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:52,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.2, mean=-0.3225, std=3.645, absmax=14.25 +2025-10-31 16:41:52,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.72, mean=-0.3168, std=2.995, absmax=11.68 +2025-10-31 16:41:52,823 ERROR: Encountered non-finite generator loss at iter 3553; skipping update. +2025-10-31 16:41:52,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:52,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:52,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:52,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:52,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.99, mean=-0.08238, std=2.765, absmax=12 +2025-10-31 16:41:52,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.861, max=8.599, mean=-0.1302, std=2.32, absmax=9.861 +2025-10-31 16:41:53,323 ERROR: Encountered non-finite generator loss at iter 3554; skipping update. +2025-10-31 16:41:53,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:53,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:53,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=15.46, mean=0.01562, std=3.62, absmax=15.46 +2025-10-31 16:41:53,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=14.32, mean=-0.02038, std=3.121, absmax=14.32 +2025-10-31 16:41:53,823 ERROR: Encountered non-finite generator loss at iter 3555; skipping update. +2025-10-31 16:41:53,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:53,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:53,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:53,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:53,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.34, mean=-0.3412, std=2.882, absmax=14.34 +2025-10-31 16:41:53,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=7.303, mean=-0.2664, std=2.501, absmax=10.33 +2025-10-31 16:41:54,323 ERROR: Encountered non-finite generator loss at iter 3556; skipping update. +2025-10-31 16:41:54,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:54,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:54,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.68, mean=-0.2728, std=2.715, absmax=13.19 +2025-10-31 16:41:54,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.873, mean=-0.284, std=2.308, absmax=10.07 +2025-10-31 16:41:54,823 ERROR: Encountered non-finite generator loss at iter 3557; skipping update. +2025-10-31 16:41:54,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:54,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:54,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:54,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:54,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=10.02, mean=-0.2622, std=2.678, absmax=12.25 +2025-10-31 16:41:54,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.857, max=8.153, mean=-0.2411, std=2.278, absmax=9.857 +2025-10-31 16:41:55,322 ERROR: Encountered non-finite generator loss at iter 3558; skipping update. +2025-10-31 16:41:55,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:55,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:55,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=12.04, mean=-0.2422, std=2.372, absmax=13.82 +2025-10-31 16:41:55,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=8.309, mean=-0.2078, std=2.058, absmax=9.309 +2025-10-31 16:41:55,824 ERROR: Encountered non-finite generator loss at iter 3559; skipping update. +2025-10-31 16:41:55,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:55,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:55,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:55,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:55,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=15.14, mean=-0.01738, std=3.229, absmax=15.14 +2025-10-31 16:41:55,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.58, max=12.58, mean=-0.03194, std=2.624, absmax=12.58 +2025-10-31 16:41:56,324 ERROR: Encountered non-finite generator loss at iter 3560; skipping update. +2025-10-31 16:41:56,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:56,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:56,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=15.35, mean=-0.2805, std=2.909, absmax=15.35 +2025-10-31 16:41:56,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=8.262, mean=-0.247, std=2.412, absmax=11.64 +2025-10-31 16:41:56,826 ERROR: Encountered non-finite generator loss at iter 3561; skipping update. +2025-10-31 16:41:56,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:56,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:56,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:56,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:56,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.8, mean=-0.1755, std=2.725, absmax=11.8 +2025-10-31 16:41:56,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=9.473, mean=-0.1645, std=2.481, absmax=12.27 +2025-10-31 16:41:57,329 ERROR: Encountered non-finite generator loss at iter 3562; skipping update. +2025-10-31 16:41:57,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:57,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:57,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.92, mean=-0.09452, std=3.162, absmax=14.19 +2025-10-31 16:41:57,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=11.28, mean=-0.1247, std=2.638, absmax=11.9 +2025-10-31 16:41:57,830 ERROR: Encountered non-finite generator loss at iter 3563; skipping update. +2025-10-31 16:41:57,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:57,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:57,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:57,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:57,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=16.01, mean=0.09339, std=3.65, absmax=16.01 +2025-10-31 16:41:57,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=14.46, mean=0.07237, std=3.241, absmax=14.46 +2025-10-31 16:41:58,334 ERROR: Encountered non-finite generator loss at iter 3564; skipping update. +2025-10-31 16:41:58,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:58,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:58,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.85, max=17.1, mean=-0.108, std=3.61, absmax=17.1 +2025-10-31 16:41:58,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=9.766, mean=-0.1559, std=3.061, absmax=11.9 +2025-10-31 16:41:58,838 ERROR: Encountered non-finite generator loss at iter 3565; skipping update. +2025-10-31 16:41:58,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:58,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:58,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:58,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:58,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.34, mean=-0.1139, std=3.033, absmax=12.34 +2025-10-31 16:41:58,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.478, max=10.31, mean=-0.1193, std=2.653, absmax=10.31 +2025-10-31 16:41:59,339 ERROR: Encountered non-finite generator loss at iter 3566; skipping update. +2025-10-31 16:41:59,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:59,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:59,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=15.29, mean=-0.1848, std=3.095, absmax=15.29 +2025-10-31 16:41:59,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.364, max=10.81, mean=-0.2004, std=2.598, absmax=10.81 +2025-10-31 16:41:59,840 ERROR: Encountered non-finite generator loss at iter 3567; skipping update. +2025-10-31 16:41:59,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:41:59,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:41:59,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:41:59,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:41:59,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.22, mean=-0.2748, std=2.809, absmax=15.22 +2025-10-31 16:41:59,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=9.709, mean=-0.2677, std=2.287, absmax=9.709 +2025-10-31 16:42:00,342 ERROR: Encountered non-finite generator loss at iter 3568; skipping update. +2025-10-31 16:42:00,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:00,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:00,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.07, mean=-0.1043, std=3.179, absmax=14.07 +2025-10-31 16:42:00,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=10.34, mean=-0.06996, std=2.885, absmax=10.56 +2025-10-31 16:42:00,845 ERROR: Encountered non-finite generator loss at iter 3569; skipping update. +2025-10-31 16:42:00,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:00,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:00,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:00,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:00,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=14.1, mean=-0.1654, std=2.875, absmax=14.1 +2025-10-31 16:42:00,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=9.881, mean=-0.176, std=2.414, absmax=11.56 +2025-10-31 16:42:01,347 ERROR: Encountered non-finite generator loss at iter 3570; skipping update. +2025-10-31 16:42:01,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:01,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:01,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.95, mean=-0.3361, std=3.307, absmax=13.56 +2025-10-31 16:42:01,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.04, mean=-0.3234, std=2.798, absmax=10.65 +2025-10-31 16:42:01,854 ERROR: Encountered non-finite generator loss at iter 3571; skipping update. +2025-10-31 16:42:01,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:01,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:01,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:01,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:01,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=11.36, mean=-0.204, std=2.628, absmax=11.36 +2025-10-31 16:42:01,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.139, max=9.24, mean=-0.2509, std=2.282, absmax=9.24 +2025-10-31 16:42:02,358 ERROR: Encountered non-finite generator loss at iter 3572; skipping update. +2025-10-31 16:42:02,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:02,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:02,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=10.88, mean=-0.2817, std=3.324, absmax=14.54 +2025-10-31 16:42:02,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.09, max=9.208, mean=-0.2772, std=2.822, absmax=14.09 +2025-10-31 16:42:02,864 ERROR: Encountered non-finite generator loss at iter 3573; skipping update. +2025-10-31 16:42:02,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:02,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:02,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:02,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:02,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.79, mean=-0.1814, std=3.293, absmax=13.79 +2025-10-31 16:42:02,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.486, mean=-0.2182, std=2.698, absmax=11.01 +2025-10-31 16:42:03,369 ERROR: Encountered non-finite generator loss at iter 3574; skipping update. +2025-10-31 16:42:03,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:03,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:03,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=15.25, mean=-0.1984, std=2.86, absmax=15.25 +2025-10-31 16:42:03,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.615, mean=-0.1622, std=2.315, absmax=10.62 +2025-10-31 16:42:03,873 ERROR: Encountered non-finite generator loss at iter 3575; skipping update. +2025-10-31 16:42:03,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:03,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:03,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:03,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:03,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=16.51, mean=-0.1284, std=3.192, absmax=16.51 +2025-10-31 16:42:03,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=13.96, mean=-0.1213, std=2.723, absmax=13.96 +2025-10-31 16:42:04,376 ERROR: Encountered non-finite generator loss at iter 3576; skipping update. +2025-10-31 16:42:04,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:04,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:04,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=9.954, mean=-0.2844, std=2.768, absmax=13.88 +2025-10-31 16:42:04,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.025, mean=-0.2871, std=2.463, absmax=10.71 +2025-10-31 16:42:04,881 ERROR: Encountered non-finite generator loss at iter 3577; skipping update. +2025-10-31 16:42:04,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:04,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:04,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:04,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:04,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=14.02, mean=-0.1384, std=3.06, absmax=14.63 +2025-10-31 16:42:04,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.218, mean=-0.1482, std=2.479, absmax=10.9 +2025-10-31 16:42:05,384 ERROR: Encountered non-finite generator loss at iter 3578; skipping update. +2025-10-31 16:42:05,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:05,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:05,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.83, mean=-0.2691, std=2.67, absmax=12.83 +2025-10-31 16:42:05,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=9.588, mean=-0.2713, std=2.192, absmax=9.66 +2025-10-31 16:42:05,887 ERROR: Encountered non-finite generator loss at iter 3579; skipping update. +2025-10-31 16:42:05,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:05,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:05,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:05,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:05,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.55, mean=0.06176, std=3.384, absmax=14.55 +2025-10-31 16:42:05,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.907, max=12.62, mean=0.07507, std=2.921, absmax=12.62 +2025-10-31 16:42:06,392 ERROR: Encountered non-finite generator loss at iter 3580; skipping update. +2025-10-31 16:42:06,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,396 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:06,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:06,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=13.73, mean=-0.1193, std=2.438, absmax=13.73 +2025-10-31 16:42:06,400 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.55, max=9.6, mean=-0.1251, std=2.084, absmax=9.6 +2025-10-31 16:42:06,893 ERROR: Encountered non-finite generator loss at iter 3581; skipping update. +2025-10-31 16:42:06,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:06,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:06,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:06,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:06,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.58, mean=-0.2614, std=2.877, absmax=14.58 +2025-10-31 16:42:06,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.829, max=10.94, mean=-0.277, std=2.557, absmax=10.94 +2025-10-31 16:42:07,396 ERROR: Encountered non-finite generator loss at iter 3582; skipping update. +2025-10-31 16:42:07,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:07,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:07,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.68, mean=-0.01015, std=2.884, absmax=11.68 +2025-10-31 16:42:07,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=9.178, mean=-0.03897, std=2.581, absmax=10.53 +2025-10-31 16:42:07,899 ERROR: Encountered non-finite generator loss at iter 3583; skipping update. +2025-10-31 16:42:07,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:07,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:07,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:07,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:07,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.14, mean=-0.1033, std=3.225, absmax=13.14 +2025-10-31 16:42:07,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=11.58, mean=-0.05038, std=2.913, absmax=11.58 +2025-10-31 16:42:08,403 ERROR: Encountered non-finite generator loss at iter 3584; skipping update. +2025-10-31 16:42:08,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:08,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:08,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.63, mean=-0.1296, std=3.211, absmax=14.63 +2025-10-31 16:42:08,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=13.09, mean=-0.1419, std=2.804, absmax=13.09 +2025-10-31 16:42:08,904 ERROR: Encountered non-finite generator loss at iter 3585; skipping update. +2025-10-31 16:42:08,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,908 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:08,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:08,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:08,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:08,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=12.22, mean=-0.08847, std=3.479, absmax=14.8 +2025-10-31 16:42:08,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.28, mean=-0.09818, std=2.827, absmax=10.75 +2025-10-31 16:42:09,408 ERROR: Encountered non-finite generator loss at iter 3586; skipping update. +2025-10-31 16:42:09,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,412 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:09,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:09,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.39, mean=-0.1867, std=3.255, absmax=14.36 +2025-10-31 16:42:09,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.547, mean=-0.1615, std=2.61, absmax=10.13 +2025-10-31 16:42:09,911 ERROR: Encountered non-finite generator loss at iter 3587; skipping update. +2025-10-31 16:42:09,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:09,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:09,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:09,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:09,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.21, mean=-0.08946, std=2.656, absmax=11.89 +2025-10-31 16:42:09,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.184, max=8.477, mean=-0.04479, std=2.274, absmax=8.477 +2025-10-31 16:42:10,416 ERROR: Encountered non-finite generator loss at iter 3588; skipping update. +2025-10-31 16:42:10,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:10,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:10,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.09, mean=-0.04825, std=2.89, absmax=16.09 +2025-10-31 16:42:10,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.334, max=8.948, mean=-0.05203, std=2.211, absmax=9.334 +2025-10-31 16:42:10,920 ERROR: Encountered non-finite generator loss at iter 3589; skipping update. +2025-10-31 16:42:10,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:10,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:10,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:10,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:10,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=12.4, mean=-0.3077, std=3.292, absmax=13.99 +2025-10-31 16:42:10,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.28, max=9.61, mean=-0.2885, std=2.824, absmax=13.28 +2025-10-31 16:42:11,423 ERROR: Encountered non-finite generator loss at iter 3590; skipping update. +2025-10-31 16:42:11,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:11,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:11,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.63, mean=-0.126, std=2.835, absmax=12.45 +2025-10-31 16:42:11,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.551, max=11.36, mean=-0.1253, std=2.332, absmax=11.36 +2025-10-31 16:42:11,928 ERROR: Encountered non-finite generator loss at iter 3591; skipping update. +2025-10-31 16:42:11,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:11,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:11,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:11,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:11,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.75, mean=-0.257, std=2.628, absmax=13.75 +2025-10-31 16:42:11,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=10, mean=-0.2909, std=2.194, absmax=11.22 +2025-10-31 16:42:12,433 ERROR: Encountered non-finite generator loss at iter 3592; skipping update. +2025-10-31 16:42:12,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:12,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:12,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.87, mean=-0.2851, std=2.872, absmax=13.02 +2025-10-31 16:42:12,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=9.176, mean=-0.246, std=2.433, absmax=9.937 +2025-10-31 16:42:12,936 ERROR: Encountered non-finite generator loss at iter 3593; skipping update. +2025-10-31 16:42:12,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:12,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:12,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:12,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:12,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.65, mean=-0.2725, std=3.319, absmax=13.69 +2025-10-31 16:42:12,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=9.663, mean=-0.2653, std=2.817, absmax=11.46 +2025-10-31 16:42:13,440 ERROR: Encountered non-finite generator loss at iter 3594; skipping update. +2025-10-31 16:42:13,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,442 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,443 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:13,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:13,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=10.82, mean=-0.2092, std=3.351, absmax=13.52 +2025-10-31 16:42:13,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=9.941, mean=-0.1868, std=2.637, absmax=11.7 +2025-10-31 16:42:13,943 ERROR: Encountered non-finite generator loss at iter 3595; skipping update. +2025-10-31 16:42:13,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,946 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,947 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:13,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:13,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:13,950 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:13,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.76, mean=-0.1268, std=2.799, absmax=12.76 +2025-10-31 16:42:13,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.409, max=9.972, mean=-0.1365, std=2.362, absmax=9.972 +2025-10-31 16:42:14,448 ERROR: Encountered non-finite generator loss at iter 3596; skipping update. +2025-10-31 16:42:14,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:14,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:14,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.21, mean=-0.099, std=2.836, absmax=12.21 +2025-10-31 16:42:14,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.537, max=9.562, mean=-0.1325, std=2.346, absmax=9.562 +2025-10-31 16:42:14,952 ERROR: Encountered non-finite generator loss at iter 3597; skipping update. +2025-10-31 16:42:14,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:14,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:14,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:14,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:14,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=15.19, mean=-0.1195, std=2.742, absmax=15.19 +2025-10-31 16:42:14,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.76, mean=-0.0966, std=2.451, absmax=11.76 +2025-10-31 16:42:15,455 ERROR: Encountered non-finite generator loss at iter 3598; skipping update. +2025-10-31 16:42:15,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:15,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:15,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.03, mean=-0.2319, std=2.769, absmax=13.03 +2025-10-31 16:42:15,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.583, mean=-0.2175, std=2.316, absmax=10.84 +2025-10-31 16:42:15,960 ERROR: Encountered non-finite generator loss at iter 3599; skipping update. +2025-10-31 16:42:15,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:15,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:15,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:15,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:15,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=16.64, mean=-0.1952, std=3.097, absmax=16.64 +2025-10-31 16:42:15,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=12.97, mean=-0.2013, std=2.489, absmax=12.97 +2025-10-31 16:42:16,463 ERROR: Encountered non-finite generator loss at iter 3600; skipping update. +2025-10-31 16:42:16,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:16,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:16,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.66, mean=-0.1751, std=2.829, absmax=12.88 +2025-10-31 16:42:16,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.577, mean=-0.1548, std=2.338, absmax=10.59 +2025-10-31 16:42:16,473 INFO: [29..][epoch: 0, step: 3,600, lr:(1.500e-04,)] [eta: 1 day, 19:38:04, time (data): 0.502 (0.000)] +2025-10-31 16:42:16,966 ERROR: Encountered non-finite generator loss at iter 3601; skipping update. +2025-10-31 16:42:16,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:16,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:16,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:16,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:16,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.91, mean=-0.2828, std=2.688, absmax=12.91 +2025-10-31 16:42:16,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.372, mean=-0.2786, std=2.29, absmax=10.01 +2025-10-31 16:42:17,470 ERROR: Encountered non-finite generator loss at iter 3602; skipping update. +2025-10-31 16:42:17,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:17,476 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:17,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.78, mean=-0.2605, std=2.709, absmax=14.78 +2025-10-31 16:42:17,478 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=8.876, mean=-0.2687, std=2.203, absmax=9.286 +2025-10-31 16:42:17,973 ERROR: Encountered non-finite generator loss at iter 3603; skipping update. +2025-10-31 16:42:17,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:17,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:17,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:17,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:17,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.66, mean=-0.08916, std=2.815, absmax=13.66 +2025-10-31 16:42:17,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.561, max=10.4, mean=-0.09043, std=2.357, absmax=10.4 +2025-10-31 16:42:18,478 ERROR: Encountered non-finite generator loss at iter 3604; skipping update. +2025-10-31 16:42:18,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,481 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:18,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:18,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.01, mean=-0.2282, std=2.447, absmax=14.61 +2025-10-31 16:42:18,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.746, mean=-0.1876, std=2.009, absmax=10.43 +2025-10-31 16:42:18,983 ERROR: Encountered non-finite generator loss at iter 3605; skipping update. +2025-10-31 16:42:18,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:18,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:18,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:18,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:18,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.59, max=10.99, mean=-0.251, std=2.37, absmax=10.99 +2025-10-31 16:42:18,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.713, max=8.62, mean=-0.2252, std=2.132, absmax=9.713 +2025-10-31 16:42:19,486 ERROR: Encountered non-finite generator loss at iter 3606; skipping update. +2025-10-31 16:42:19,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:19,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:19,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=16.58, mean=-0.1507, std=2.822, absmax=16.58 +2025-10-31 16:42:19,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=9.574, mean=-0.152, std=2.468, absmax=10.59 +2025-10-31 16:42:19,986 ERROR: Encountered non-finite generator loss at iter 3607; skipping update. +2025-10-31 16:42:19,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:19,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:19,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:19,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:19,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.56, mean=-0.3167, std=2.953, absmax=13.49 +2025-10-31 16:42:19,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=8.526, mean=-0.2733, std=2.403, absmax=11.42 +2025-10-31 16:42:20,488 ERROR: Encountered non-finite generator loss at iter 3608; skipping update. +2025-10-31 16:42:20,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:20,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:20,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=14.18, mean=0.1626, std=3.588, absmax=14.18 +2025-10-31 16:42:20,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.807, max=12.09, mean=0.1376, std=2.983, absmax=12.09 +2025-10-31 16:42:20,988 ERROR: Encountered non-finite generator loss at iter 3609; skipping update. +2025-10-31 16:42:20,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:20,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:20,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:20,995 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:20,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.27, mean=-0.2185, std=2.652, absmax=12.14 +2025-10-31 16:42:20,997 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.507, mean=-0.2862, std=2.35, absmax=10.84 +2025-10-31 16:42:21,489 ERROR: Encountered non-finite generator loss at iter 3610; skipping update. +2025-10-31 16:42:21,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:21,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:21,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.2, mean=0.04668, std=3.498, absmax=13.96 +2025-10-31 16:42:21,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.34, mean=0.02825, std=2.881, absmax=11.29 +2025-10-31 16:42:21,988 ERROR: Encountered non-finite generator loss at iter 3611; skipping update. +2025-10-31 16:42:21,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:21,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:21,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:21,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:21,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=13.06, mean=-0.268, std=2.291, absmax=13.06 +2025-10-31 16:42:21,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.175, max=6.161, mean=-0.2303, std=1.871, absmax=8.175 +2025-10-31 16:42:22,489 ERROR: Encountered non-finite generator loss at iter 3612; skipping update. +2025-10-31 16:42:22,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:22,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:22,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=15.6, mean=0.07447, std=3.698, absmax=15.66 +2025-10-31 16:42:22,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=14.58, mean=0.06919, std=3.253, absmax=14.58 +2025-10-31 16:42:22,990 ERROR: Encountered non-finite generator loss at iter 3613; skipping update. +2025-10-31 16:42:22,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:22,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:22,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:22,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:22,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.63, mean=-0.1108, std=2.934, absmax=13.63 +2025-10-31 16:42:22,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=10.45, mean=-0.09025, std=2.491, absmax=10.48 +2025-10-31 16:42:23,490 ERROR: Encountered non-finite generator loss at iter 3614; skipping update. +2025-10-31 16:42:23,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:23,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:23,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.49, mean=-0.03751, std=2.988, absmax=13.99 +2025-10-31 16:42:23,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.04, mean=-0.09798, std=2.373, absmax=11.04 +2025-10-31 16:42:23,990 ERROR: Encountered non-finite generator loss at iter 3615; skipping update. +2025-10-31 16:42:23,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:23,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:23,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:23,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:23,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.28, mean=-0.288, std=2.972, absmax=14.6 +2025-10-31 16:42:23,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.496, mean=-0.2721, std=2.475, absmax=10.63 +2025-10-31 16:42:24,490 ERROR: Encountered non-finite generator loss at iter 3616; skipping update. +2025-10-31 16:42:24,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:24,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:24,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=15.38, mean=-0.3254, std=3.191, absmax=15.38 +2025-10-31 16:42:24,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.88, mean=-0.2805, std=2.724, absmax=11.26 +2025-10-31 16:42:24,991 ERROR: Encountered non-finite generator loss at iter 3617; skipping update. +2025-10-31 16:42:24,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:24,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:24,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:24,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:24,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.89, mean=0.02769, std=3.051, absmax=14.89 +2025-10-31 16:42:25,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.576, max=13.27, mean=-0.02322, std=2.613, absmax=13.27 +2025-10-31 16:42:25,491 ERROR: Encountered non-finite generator loss at iter 3618; skipping update. +2025-10-31 16:42:25,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:25,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:25,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:25,496 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:25,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:25,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:25,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:25,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:25,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=10.44, mean=-0.1011, std=2.753, absmax=11.21 +2025-10-31 16:42:25,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=8.99, mean=-0.08778, std=2.536, absmax=9.269 +2025-10-31 16:42:25,995 ERROR: Encountered non-finite generator loss at iter 3619; skipping update. +2025-10-31 16:42:25,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:25,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:25,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:25,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:26,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:26,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:26,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:26,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:26,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.85, mean=-0.2398, std=2.778, absmax=12.85 +2025-10-31 16:42:26,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=9.063, mean=-0.2266, std=2.307, absmax=9.514 +2025-10-31 16:42:26,502 ERROR: Encountered non-finite generator loss at iter 3620; skipping update. +2025-10-31 16:42:26,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:26,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:26,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:26,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:26,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:26,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:26,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:26,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:26,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.08, mean=-0.3679, std=3.079, absmax=13.24 +2025-10-31 16:42:26,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.34, mean=-0.3011, std=2.552, absmax=10.49 +2025-10-31 16:42:27,005 ERROR: Encountered non-finite generator loss at iter 3621; skipping update. +2025-10-31 16:42:27,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:27,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:27,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=14.48, mean=0.03303, std=2.83, absmax=14.48 +2025-10-31 16:42:27,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.478, max=10.17, mean=-0.0252, std=2.313, absmax=10.17 +2025-10-31 16:42:27,509 ERROR: Encountered non-finite generator loss at iter 3622; skipping update. +2025-10-31 16:42:27,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,512 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:27,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:27,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:27,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:27,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=14.42, mean=-0.3871, std=3.118, absmax=14.78 +2025-10-31 16:42:27,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=10.93, mean=-0.3367, std=2.764, absmax=11.93 +2025-10-31 16:42:28,009 ERROR: Encountered non-finite generator loss at iter 3623; skipping update. +2025-10-31 16:42:28,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:28,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:28,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.03, mean=-0.2568, std=2.834, absmax=13.21 +2025-10-31 16:42:28,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.746, max=7.942, mean=-0.2683, std=2.346, absmax=9.746 +2025-10-31 16:42:28,511 ERROR: Encountered non-finite generator loss at iter 3624; skipping update. +2025-10-31 16:42:28,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:28,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:28,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:28,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:28,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.4, mean=-0.08059, std=2.855, absmax=12.39 +2025-10-31 16:42:28,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.571, mean=-0.01245, std=2.486, absmax=10.6 +2025-10-31 16:42:29,014 ERROR: Encountered non-finite generator loss at iter 3625; skipping update. +2025-10-31 16:42:29,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:29,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:29,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.17, mean=0.1203, std=3.249, absmax=14.17 +2025-10-31 16:42:29,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.636, max=11.99, mean=0.07209, std=2.722, absmax=11.99 +2025-10-31 16:42:29,516 ERROR: Encountered non-finite generator loss at iter 3626; skipping update. +2025-10-31 16:42:29,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:29,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:29,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:29,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:29,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=15.43, mean=-0.004476, std=3.399, absmax=15.43 +2025-10-31 16:42:29,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=13.02, mean=-0.01637, std=2.778, absmax=13.02 +2025-10-31 16:42:30,020 ERROR: Encountered non-finite generator loss at iter 3627; skipping update. +2025-10-31 16:42:30,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:30,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:30,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.55, max=15.77, mean=-0.122, std=2.794, absmax=16.55 +2025-10-31 16:42:30,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=12.53, mean=-0.1459, std=2.46, absmax=12.53 +2025-10-31 16:42:30,527 ERROR: Encountered non-finite generator loss at iter 3628; skipping update. +2025-10-31 16:42:30,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:30,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:30,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:30,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:30,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=14.72, mean=-0.1976, std=3.034, absmax=15.07 +2025-10-31 16:42:30,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=12.15, mean=-0.2185, std=2.623, absmax=12.15 +2025-10-31 16:42:31,028 ERROR: Encountered non-finite generator loss at iter 3629; skipping update. +2025-10-31 16:42:31,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:31,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:31,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.91, mean=-0.05171, std=3.25, absmax=14.91 +2025-10-31 16:42:31,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=11.27, mean=-0.06894, std=2.752, absmax=11.27 +2025-10-31 16:42:31,530 ERROR: Encountered non-finite generator loss at iter 3630; skipping update. +2025-10-31 16:42:31,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:31,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:31,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:31,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:31,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.61, mean=-0.1989, std=2.676, absmax=13.61 +2025-10-31 16:42:31,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.393, max=8.943, mean=-0.2055, std=2.182, absmax=9.393 +2025-10-31 16:42:32,032 ERROR: Encountered non-finite generator loss at iter 3631; skipping update. +2025-10-31 16:42:32,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:32,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:32,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.42, mean=-0.1445, std=3.296, absmax=12.42 +2025-10-31 16:42:32,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=11.23, mean=-0.1335, std=2.826, absmax=11.23 +2025-10-31 16:42:32,535 ERROR: Encountered non-finite generator loss at iter 3632; skipping update. +2025-10-31 16:42:32,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,540 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:32,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:32,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:32,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:32,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=16.44, mean=-0.121, std=2.627, absmax=16.44 +2025-10-31 16:42:32,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.16, mean=-0.1354, std=2.503, absmax=10.33 +2025-10-31 16:42:33,038 ERROR: Encountered non-finite generator loss at iter 3633; skipping update. +2025-10-31 16:42:33,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,043 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,044 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,045 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:33,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:33,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.16, mean=-0.2405, std=3.363, absmax=14.03 +2025-10-31 16:42:33,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=10.68, mean=-0.2295, std=2.951, absmax=11.24 +2025-10-31 16:42:33,542 ERROR: Encountered non-finite generator loss at iter 3634; skipping update. +2025-10-31 16:42:33,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:33,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:33,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:33,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:33,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=10.03, mean=-0.1551, std=2.889, absmax=12.21 +2025-10-31 16:42:33,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=10.19, mean=-0.1781, std=2.635, absmax=11.33 +2025-10-31 16:42:34,045 ERROR: Encountered non-finite generator loss at iter 3635; skipping update. +2025-10-31 16:42:34,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:34,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:34,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.7, mean=-0.06386, std=3.256, absmax=13.7 +2025-10-31 16:42:34,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=12.05, mean=-0.08429, std=2.906, absmax=12.05 +2025-10-31 16:42:34,548 ERROR: Encountered non-finite generator loss at iter 3636; skipping update. +2025-10-31 16:42:34,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:34,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:34,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:34,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:34,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.9, mean=-0.1776, std=2.625, absmax=11.9 +2025-10-31 16:42:34,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.232, max=9.959, mean=-0.181, std=2.286, absmax=9.959 +2025-10-31 16:42:35,050 ERROR: Encountered non-finite generator loss at iter 3637; skipping update. +2025-10-31 16:42:35,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:35,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:35,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.02, mean=-0.1723, std=2.498, absmax=12.3 +2025-10-31 16:42:35,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.014, mean=-0.1748, std=2.039, absmax=10.05 +2025-10-31 16:42:35,552 ERROR: Encountered non-finite generator loss at iter 3638; skipping update. +2025-10-31 16:42:35,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:35,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:35,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:35,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:35,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=10.29, mean=-0.2918, std=2.484, absmax=12.84 +2025-10-31 16:42:35,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.229, max=7.578, mean=-0.2499, std=2.099, absmax=9.229 +2025-10-31 16:42:36,055 ERROR: Encountered non-finite generator loss at iter 3639; skipping update. +2025-10-31 16:42:36,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:36,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:36,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.84, mean=-0.216, std=2.923, absmax=12.84 +2025-10-31 16:42:36,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.537, mean=-0.199, std=2.487, absmax=10.89 +2025-10-31 16:42:36,559 ERROR: Encountered non-finite generator loss at iter 3640; skipping update. +2025-10-31 16:42:36,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:36,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:36,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:36,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:36,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=11.99, mean=-0.08281, std=2.424, absmax=11.99 +2025-10-31 16:42:36,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.578, max=9.984, mean=-0.1531, std=2.141, absmax=9.984 +2025-10-31 16:42:37,062 ERROR: Encountered non-finite generator loss at iter 3641; skipping update. +2025-10-31 16:42:37,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:37,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:37,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.08, mean=-0.1948, std=3.25, absmax=13.79 +2025-10-31 16:42:37,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.13, mean=-0.2048, std=2.683, absmax=10.88 +2025-10-31 16:42:37,566 ERROR: Encountered non-finite generator loss at iter 3642; skipping update. +2025-10-31 16:42:37,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:37,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:37,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:37,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:37,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.04, mean=0.07193, std=3.418, absmax=13.36 +2025-10-31 16:42:37,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.78, mean=-0.02012, std=2.688, absmax=10.78 +2025-10-31 16:42:38,069 ERROR: Encountered non-finite generator loss at iter 3643; skipping update. +2025-10-31 16:42:38,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:38,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:38,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.1, mean=-0.1296, std=2.642, absmax=13.29 +2025-10-31 16:42:38,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.734, max=7.49, mean=-0.1258, std=2.128, absmax=9.734 +2025-10-31 16:42:38,572 ERROR: Encountered non-finite generator loss at iter 3644; skipping update. +2025-10-31 16:42:38,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:38,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:38,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:38,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:38,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=16.27, mean=0.08135, std=3.193, absmax=16.27 +2025-10-31 16:42:38,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.694, max=11.62, mean=0.08545, std=2.647, absmax=11.62 +2025-10-31 16:42:39,075 ERROR: Encountered non-finite generator loss at iter 3645; skipping update. +2025-10-31 16:42:39,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:39,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:39,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.79, mean=-0.3179, std=2.979, absmax=14.79 +2025-10-31 16:42:39,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=10.34, mean=-0.2672, std=2.427, absmax=10.34 +2025-10-31 16:42:39,577 ERROR: Encountered non-finite generator loss at iter 3646; skipping update. +2025-10-31 16:42:39,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:39,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:39,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:39,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:39,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=13.55, mean=-0.196, std=3.254, absmax=15.11 +2025-10-31 16:42:39,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.95, mean=-0.2111, std=2.664, absmax=10.95 +2025-10-31 16:42:40,079 ERROR: Encountered non-finite generator loss at iter 3647; skipping update. +2025-10-31 16:42:40,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:40,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:40,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.16, mean=0.06223, std=4.073, absmax=15.16 +2025-10-31 16:42:40,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=14.82, mean=0.08373, std=3.698, absmax=14.82 +2025-10-31 16:42:40,583 ERROR: Encountered non-finite generator loss at iter 3648; skipping update. +2025-10-31 16:42:40,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:40,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:40,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:40,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:40,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=21.39, mean=-0.003381, std=3.518, absmax=21.39 +2025-10-31 16:42:40,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=16.47, mean=-0.0329, std=2.819, absmax=16.47 +2025-10-31 16:42:41,088 ERROR: Encountered non-finite generator loss at iter 3649; skipping update. +2025-10-31 16:42:41,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:41,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:41,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=14.23, mean=0.1977, std=3.243, absmax=14.23 +2025-10-31 16:42:41,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.1, mean=0.1553, std=2.76, absmax=11.1 +2025-10-31 16:42:41,591 ERROR: Encountered non-finite generator loss at iter 3650; skipping update. +2025-10-31 16:42:41,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:41,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:41,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:41,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:41,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.52, mean=-0.113, std=3.23, absmax=13.62 +2025-10-31 16:42:41,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=9.572, mean=-0.1031, std=2.667, absmax=10.51 +2025-10-31 16:42:42,092 ERROR: Encountered non-finite generator loss at iter 3651; skipping update. +2025-10-31 16:42:42,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:42,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:42,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.59, mean=-0.07268, std=3.116, absmax=13.59 +2025-10-31 16:42:42,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=9.788, mean=-0.1133, std=2.356, absmax=9.788 +2025-10-31 16:42:42,595 ERROR: Encountered non-finite generator loss at iter 3652; skipping update. +2025-10-31 16:42:42,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,598 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:42,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:42,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:42,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:42,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=16.12, mean=0.04961, std=3.891, absmax=16.12 +2025-10-31 16:42:42,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=13.57, mean=0.01262, std=3.339, absmax=13.57 +2025-10-31 16:42:43,092 ERROR: Encountered non-finite generator loss at iter 3653; skipping update. +2025-10-31 16:42:43,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:43,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:43,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.08, mean=-0.148, std=2.646, absmax=12.08 +2025-10-31 16:42:43,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.37, max=9.16, mean=-0.2103, std=2.233, absmax=9.16 +2025-10-31 16:42:43,603 ERROR: Encountered non-finite generator loss at iter 3654; skipping update. +2025-10-31 16:42:43,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:43,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:43,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:43,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:43,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.9, mean=-0.2486, std=3.01, absmax=13.2 +2025-10-31 16:42:43,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.42, max=7.817, mean=-0.2461, std=2.33, absmax=8.42 +2025-10-31 16:42:44,103 ERROR: Encountered non-finite generator loss at iter 3655; skipping update. +2025-10-31 16:42:44,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:44,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:44,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.4, mean=0.1051, std=3.382, absmax=14.4 +2025-10-31 16:42:44,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.451, max=13.93, mean=0.036, std=2.943, absmax=13.93 +2025-10-31 16:42:44,604 ERROR: Encountered non-finite generator loss at iter 3656; skipping update. +2025-10-31 16:42:44,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:44,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:44,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:44,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:44,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.7, mean=-0.05422, std=2.989, absmax=12.99 +2025-10-31 16:42:44,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.744, max=9.049, mean=-0.02961, std=2.45, absmax=9.049 +2025-10-31 16:42:45,105 ERROR: Encountered non-finite generator loss at iter 3657; skipping update. +2025-10-31 16:42:45,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:45,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:45,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.94, mean=0.03151, std=3.437, absmax=13.32 +2025-10-31 16:42:45,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=8.933, mean=-0.04162, std=2.712, absmax=10.21 +2025-10-31 16:42:45,606 ERROR: Encountered non-finite generator loss at iter 3658; skipping update. +2025-10-31 16:42:45,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:45,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:45,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:45,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:45,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.69, mean=-0.2598, std=2.841, absmax=12.69 +2025-10-31 16:42:45,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.089, mean=-0.2332, std=2.405, absmax=10.38 +2025-10-31 16:42:46,106 ERROR: Encountered non-finite generator loss at iter 3659; skipping update. +2025-10-31 16:42:46,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:46,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:46,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.69, mean=-0.08686, std=2.789, absmax=14.69 +2025-10-31 16:42:46,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.648, max=11.73, mean=-0.05488, std=2.389, absmax=11.73 +2025-10-31 16:42:46,607 ERROR: Encountered non-finite generator loss at iter 3660; skipping update. +2025-10-31 16:42:46,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:46,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:46,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:46,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:46,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=11.28, mean=-0.06616, std=2.568, absmax=11.28 +2025-10-31 16:42:46,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.9, max=7.811, mean=-0.11, std=2.137, absmax=9.9 +2025-10-31 16:42:47,109 ERROR: Encountered non-finite generator loss at iter 3661; skipping update. +2025-10-31 16:42:47,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:47,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:47,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.81, mean=0.01022, std=2.833, absmax=13.81 +2025-10-31 16:42:47,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.176, max=10.74, mean=-0.009235, std=2.384, absmax=10.74 +2025-10-31 16:42:47,610 ERROR: Encountered non-finite generator loss at iter 3662; skipping update. +2025-10-31 16:42:47,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:47,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:47,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:47,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:47,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=18.14, mean=-0.1194, std=2.96, absmax=18.14 +2025-10-31 16:42:47,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=15.7, mean=-0.1448, std=2.614, absmax=15.7 +2025-10-31 16:42:48,109 ERROR: Encountered non-finite generator loss at iter 3663; skipping update. +2025-10-31 16:42:48,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:48,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:48,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.4, mean=-0.1321, std=3.138, absmax=14.49 +2025-10-31 16:42:48,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=11.43, mean=-0.1563, std=2.678, absmax=11.43 +2025-10-31 16:42:48,610 ERROR: Encountered non-finite generator loss at iter 3664; skipping update. +2025-10-31 16:42:48,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:48,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:48,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:48,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:48,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.4, mean=-0.2275, std=3.191, absmax=14.4 +2025-10-31 16:42:48,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=9.155, mean=-0.2244, std=2.573, absmax=9.406 +2025-10-31 16:42:49,110 ERROR: Encountered non-finite generator loss at iter 3665; skipping update. +2025-10-31 16:42:49,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:49,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:49,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.88, mean=0.05663, std=2.691, absmax=14.88 +2025-10-31 16:42:49,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=9.749, mean=0.003338, std=2.38, absmax=9.749 +2025-10-31 16:42:49,611 ERROR: Encountered non-finite generator loss at iter 3666; skipping update. +2025-10-31 16:42:49,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:49,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:49,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:49,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:49,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.45, mean=-0.1755, std=2.517, absmax=12.45 +2025-10-31 16:42:49,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.671, max=8.423, mean=-0.189, std=2.041, absmax=9.671 +2025-10-31 16:42:50,112 ERROR: Encountered non-finite generator loss at iter 3667; skipping update. +2025-10-31 16:42:50,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:50,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:50,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.24, mean=-0.2574, std=2.71, absmax=12.86 +2025-10-31 16:42:50,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.141, max=7.67, mean=-0.2606, std=2.302, absmax=9.141 +2025-10-31 16:42:50,614 ERROR: Encountered non-finite generator loss at iter 3668; skipping update. +2025-10-31 16:42:50,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:50,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:50,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:50,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:50,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.48, mean=-0.2096, std=2.741, absmax=12.91 +2025-10-31 16:42:50,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.139, max=8.365, mean=-0.1955, std=2.271, absmax=9.139 +2025-10-31 16:42:51,115 ERROR: Encountered non-finite generator loss at iter 3669; skipping update. +2025-10-31 16:42:51,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:51,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:51,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.06, mean=-0.1254, std=3.318, absmax=13.46 +2025-10-31 16:42:51,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.101, mean=-0.1524, std=2.579, absmax=10.33 +2025-10-31 16:42:51,616 ERROR: Encountered non-finite generator loss at iter 3670; skipping update. +2025-10-31 16:42:51,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:51,622 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:51,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:51,624 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:51,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.75, mean=-0.02814, std=3.37, absmax=14.75 +2025-10-31 16:42:51,626 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.706, max=12.66, mean=-0.01006, std=2.841, absmax=12.66 +2025-10-31 16:42:52,116 ERROR: Encountered non-finite generator loss at iter 3671; skipping update. +2025-10-31 16:42:52,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:52,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:52,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13, mean=-0.1636, std=2.494, absmax=13 +2025-10-31 16:42:52,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.505, max=8.482, mean=-0.2093, std=2.07, absmax=9.505 +2025-10-31 16:42:52,617 ERROR: Encountered non-finite generator loss at iter 3672; skipping update. +2025-10-31 16:42:52,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:52,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:52,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:52,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:52,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.24, mean=-0.2726, std=2.753, absmax=13.29 +2025-10-31 16:42:52,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=8.395, mean=-0.2744, std=2.249, absmax=9.95 +2025-10-31 16:42:53,118 ERROR: Encountered non-finite generator loss at iter 3673; skipping update. +2025-10-31 16:42:53,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:53,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:53,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.77, mean=-0.007587, std=2.964, absmax=13.45 +2025-10-31 16:42:53,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.39, mean=-0.05194, std=2.507, absmax=10.61 +2025-10-31 16:42:53,620 ERROR: Encountered non-finite generator loss at iter 3674; skipping update. +2025-10-31 16:42:53,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:53,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:53,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:53,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:53,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=13.69, mean=-0.2005, std=2.462, absmax=13.69 +2025-10-31 16:42:53,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.76, max=7.862, mean=-0.2086, std=2.002, absmax=8.76 +2025-10-31 16:42:54,120 ERROR: Encountered non-finite generator loss at iter 3675; skipping update. +2025-10-31 16:42:54,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:54,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:54,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.23, mean=0.09764, std=3.612, absmax=15.23 +2025-10-31 16:42:54,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=12.74, mean=0.06292, std=3.134, absmax=12.74 +2025-10-31 16:42:54,622 ERROR: Encountered non-finite generator loss at iter 3676; skipping update. +2025-10-31 16:42:54,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:54,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:54,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:54,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:54,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.74, mean=0.09569, std=3.218, absmax=15.74 +2025-10-31 16:42:54,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=14.13, mean=0.0985, std=2.911, absmax=14.13 +2025-10-31 16:42:55,122 ERROR: Encountered non-finite generator loss at iter 3677; skipping update. +2025-10-31 16:42:55,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:55,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:55,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.51, mean=0.03867, std=3.182, absmax=14.51 +2025-10-31 16:42:55,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.582, max=11.11, mean=-0.01277, std=2.539, absmax=11.11 +2025-10-31 16:42:55,627 ERROR: Encountered non-finite generator loss at iter 3678; skipping update. +2025-10-31 16:42:55,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:55,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:55,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:55,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:55,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=14.73, mean=-0.004499, std=3.437, absmax=14.73 +2025-10-31 16:42:55,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=13.38, mean=-0.01332, std=2.94, absmax=13.38 +2025-10-31 16:42:56,129 ERROR: Encountered non-finite generator loss at iter 3679; skipping update. +2025-10-31 16:42:56,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:56,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:56,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.93, mean=-0.08469, std=2.975, absmax=14.12 +2025-10-31 16:42:56,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.791, max=8.353, mean=-0.08397, std=2.299, absmax=9.791 +2025-10-31 16:42:56,633 ERROR: Encountered non-finite generator loss at iter 3680; skipping update. +2025-10-31 16:42:56,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:56,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:56,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:56,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:56,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.16, mean=-0.08087, std=3.857, absmax=15.16 +2025-10-31 16:42:56,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=14.82, mean=-0.07345, std=3.453, absmax=14.82 +2025-10-31 16:42:57,135 ERROR: Encountered non-finite generator loss at iter 3681; skipping update. +2025-10-31 16:42:57,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:57,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:57,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.06, mean=-0.2535, std=3.088, absmax=12.68 +2025-10-31 16:42:57,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.804, max=8.959, mean=-0.2644, std=2.497, absmax=9.804 +2025-10-31 16:42:57,638 ERROR: Encountered non-finite generator loss at iter 3682; skipping update. +2025-10-31 16:42:57,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:57,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:57,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:57,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:57,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.65, mean=-0.1972, std=2.77, absmax=13.65 +2025-10-31 16:42:57,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.096, max=8.775, mean=-0.1913, std=2.374, absmax=9.096 +2025-10-31 16:42:58,141 ERROR: Encountered non-finite generator loss at iter 3683; skipping update. +2025-10-31 16:42:58,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:58,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:58,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.02, mean=-0.3692, std=3.198, absmax=13.61 +2025-10-31 16:42:58,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=7.944, mean=-0.3275, std=2.604, absmax=10.35 +2025-10-31 16:42:58,644 ERROR: Encountered non-finite generator loss at iter 3684; skipping update. +2025-10-31 16:42:58,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:58,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:58,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:58,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:58,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.29, mean=-0.112, std=3.271, absmax=15.29 +2025-10-31 16:42:58,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=12, mean=-0.08613, std=2.76, absmax=12 +2025-10-31 16:42:59,147 ERROR: Encountered non-finite generator loss at iter 3685; skipping update. +2025-10-31 16:42:59,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:59,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:59,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=10.37, mean=-0.1398, std=2.589, absmax=14.14 +2025-10-31 16:42:59,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.717, max=8.73, mean=-0.1833, std=2.183, absmax=9.717 +2025-10-31 16:42:59,650 ERROR: Encountered non-finite generator loss at iter 3686; skipping update. +2025-10-31 16:42:59,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:42:59,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:42:59,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:42:59,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:42:59,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.04, mean=-0.264, std=3.368, absmax=13.8 +2025-10-31 16:42:59,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.18, mean=-0.289, std=2.728, absmax=11.6 +2025-10-31 16:43:00,175 ERROR: Encountered non-finite generator loss at iter 3687; skipping update. +2025-10-31 16:43:00,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:00,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:00,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.71, mean=-0.2345, std=3.126, absmax=13.22 +2025-10-31 16:43:00,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.24, mean=-0.2088, std=2.574, absmax=10.31 +2025-10-31 16:43:00,677 ERROR: Encountered non-finite generator loss at iter 3688; skipping update. +2025-10-31 16:43:00,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:00,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:00,682 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:00,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:00,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.83, mean=-0.3842, std=3.539, absmax=13.58 +2025-10-31 16:43:00,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.1, max=9.787, mean=-0.3091, std=3.127, absmax=13.1 +2025-10-31 16:43:01,181 ERROR: Encountered non-finite generator loss at iter 3689; skipping update. +2025-10-31 16:43:01,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:01,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:01,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=11.52, mean=-0.2102, std=2.484, absmax=11.52 +2025-10-31 16:43:01,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.711, max=7.817, mean=-0.2041, std=2.078, absmax=8.711 +2025-10-31 16:43:01,686 ERROR: Encountered non-finite generator loss at iter 3690; skipping update. +2025-10-31 16:43:01,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:01,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:01,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:01,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:01,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.98, mean=-0.3504, std=2.643, absmax=11.98 +2025-10-31 16:43:01,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.969, mean=-0.3588, std=2.323, absmax=10.77 +2025-10-31 16:43:02,186 ERROR: Encountered non-finite generator loss at iter 3691; skipping update. +2025-10-31 16:43:02,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:02,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:02,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.26, mean=-0.1499, std=2.525, absmax=12.85 +2025-10-31 16:43:02,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=7.881, mean=-0.1746, std=2.121, absmax=10.46 +2025-10-31 16:43:02,687 ERROR: Encountered non-finite generator loss at iter 3692; skipping update. +2025-10-31 16:43:02,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:02,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:02,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:02,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:02,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.45, mean=0.09095, std=3.726, absmax=14.45 +2025-10-31 16:43:02,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=12.79, mean=0.0886, std=3.125, absmax=12.79 +2025-10-31 16:43:03,188 ERROR: Encountered non-finite generator loss at iter 3693; skipping update. +2025-10-31 16:43:03,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:03,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:03,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=19.15, mean=-0.2167, std=2.877, absmax=19.15 +2025-10-31 16:43:03,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.587, max=13.11, mean=-0.2141, std=2.374, absmax=13.11 +2025-10-31 16:43:03,691 ERROR: Encountered non-finite generator loss at iter 3694; skipping update. +2025-10-31 16:43:03,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,693 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:03,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:03,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:03,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:03,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=13.49, mean=-0.213, std=2.475, absmax=13.49 +2025-10-31 16:43:03,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.82, mean=-0.2296, std=2.225, absmax=10.82 +2025-10-31 16:43:04,194 ERROR: Encountered non-finite generator loss at iter 3695; skipping update. +2025-10-31 16:43:04,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:04,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:04,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.84, mean=-0.2567, std=2.775, absmax=12.5 +2025-10-31 16:43:04,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.225, mean=-0.2691, std=2.41, absmax=10.79 +2025-10-31 16:43:04,697 ERROR: Encountered non-finite generator loss at iter 3696; skipping update. +2025-10-31 16:43:04,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,700 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:04,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:04,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:04,704 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:04,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.69, mean=-0.02991, std=2.665, absmax=12.01 +2025-10-31 16:43:04,706 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.323, max=9.178, mean=-0.05584, std=2.241, absmax=9.323 +2025-10-31 16:43:05,200 ERROR: Encountered non-finite generator loss at iter 3697; skipping update. +2025-10-31 16:43:05,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:05,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:05,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.71, mean=-0.2408, std=2.638, absmax=12.71 +2025-10-31 16:43:05,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.047, max=7.479, mean=-0.2285, std=2.111, absmax=9.047 +2025-10-31 16:43:05,702 ERROR: Encountered non-finite generator loss at iter 3698; skipping update. +2025-10-31 16:43:05,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:05,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:05,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:05,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:05,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=13.7, mean=0.01454, std=3.602, absmax=14.46 +2025-10-31 16:43:05,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.31, mean=-0.06292, std=2.846, absmax=10.93 +2025-10-31 16:43:06,204 ERROR: Encountered non-finite generator loss at iter 3699; skipping update. +2025-10-31 16:43:06,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:06,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:06,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.49, mean=-0.1404, std=3.539, absmax=13.49 +2025-10-31 16:43:06,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=12.22, mean=-0.1018, std=2.975, absmax=12.22 +2025-10-31 16:43:06,705 ERROR: Encountered non-finite generator loss at iter 3700; skipping update. +2025-10-31 16:43:06,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:06,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:06,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:06,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:06,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.83, mean=-0.158, std=3.216, absmax=12.13 +2025-10-31 16:43:06,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=10.21, mean=-0.2385, std=2.799, absmax=10.78 +2025-10-31 16:43:06,713 INFO: [29..][epoch: 0, step: 3,700, lr:(1.500e-04,)] [eta: 1 day, 19:22:01, time (data): 0.503 (0.000)] +2025-10-31 16:43:07,205 ERROR: Encountered non-finite generator loss at iter 3701; skipping update. +2025-10-31 16:43:07,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:07,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:07,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=13.87, mean=-0.2379, std=2.884, absmax=15.72 +2025-10-31 16:43:07,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.83, max=10.6, mean=-0.2122, std=2.331, absmax=12.83 +2025-10-31 16:43:07,708 ERROR: Encountered non-finite generator loss at iter 3702; skipping update. +2025-10-31 16:43:07,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:07,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:07,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:07,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:07,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.78, mean=-0.04472, std=2.988, absmax=14.78 +2025-10-31 16:43:07,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=12.47, mean=-0.07904, std=2.537, absmax=12.47 +2025-10-31 16:43:08,210 ERROR: Encountered non-finite generator loss at iter 3703; skipping update. +2025-10-31 16:43:08,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:08,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:08,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=10.98, mean=-0.1857, std=2.992, absmax=12.3 +2025-10-31 16:43:08,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.702, mean=-0.1931, std=2.615, absmax=10.64 +2025-10-31 16:43:08,713 ERROR: Encountered non-finite generator loss at iter 3704; skipping update. +2025-10-31 16:43:08,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:08,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:08,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:08,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:08,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=10.49, mean=-0.2543, std=3.154, absmax=12.72 +2025-10-31 16:43:08,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.09, mean=-0.225, std=2.609, absmax=10.27 +2025-10-31 16:43:09,216 ERROR: Encountered non-finite generator loss at iter 3705; skipping update. +2025-10-31 16:43:09,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,219 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:09,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:09,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=14.07, mean=-0.1578, std=2.961, absmax=15.17 +2025-10-31 16:43:09,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=12.38, mean=-0.1558, std=2.541, absmax=12.38 +2025-10-31 16:43:09,719 ERROR: Encountered non-finite generator loss at iter 3706; skipping update. +2025-10-31 16:43:09,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:09,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:09,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:09,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:09,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=12.05, mean=-0.3189, std=2.6, absmax=12.05 +2025-10-31 16:43:09,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.61, max=8.784, mean=-0.2702, std=2.313, absmax=9.61 +2025-10-31 16:43:10,222 ERROR: Encountered non-finite generator loss at iter 3707; skipping update. +2025-10-31 16:43:10,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:10,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:10,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.63, mean=0.02315, std=3.363, absmax=13.29 +2025-10-31 16:43:10,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=10.31, mean=-0.006695, std=2.933, absmax=10.83 +2025-10-31 16:43:10,725 ERROR: Encountered non-finite generator loss at iter 3708; skipping update. +2025-10-31 16:43:10,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:10,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:10,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:10,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:10,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=12.08, mean=-0.2483, std=2.839, absmax=14.67 +2025-10-31 16:43:10,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=8.708, mean=-0.2277, std=2.405, absmax=12 +2025-10-31 16:43:11,225 ERROR: Encountered non-finite generator loss at iter 3709; skipping update. +2025-10-31 16:43:11,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:11,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:11,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=14.58, mean=-0.1099, std=3.219, absmax=14.58 +2025-10-31 16:43:11,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=11.98, mean=-0.101, std=2.76, absmax=11.98 +2025-10-31 16:43:11,728 ERROR: Encountered non-finite generator loss at iter 3710; skipping update. +2025-10-31 16:43:11,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:11,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:11,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:11,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:11,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=11.01, mean=-0.1705, std=2.978, absmax=15.03 +2025-10-31 16:43:11,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=8.447, mean=-0.1976, std=2.494, absmax=11.49 +2025-10-31 16:43:12,232 ERROR: Encountered non-finite generator loss at iter 3711; skipping update. +2025-10-31 16:43:12,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:12,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:12,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.28, mean=-0.175, std=2.895, absmax=12.59 +2025-10-31 16:43:12,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.752, max=7.899, mean=-0.1543, std=2.309, absmax=9.752 +2025-10-31 16:43:12,736 ERROR: Encountered non-finite generator loss at iter 3712; skipping update. +2025-10-31 16:43:12,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:12,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:12,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:12,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:12,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.2, mean=-0.0133, std=2.96, absmax=14.2 +2025-10-31 16:43:12,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.348, max=11.51, mean=-0.01353, std=2.467, absmax=11.51 +2025-10-31 16:43:13,238 ERROR: Encountered non-finite generator loss at iter 3713; skipping update. +2025-10-31 16:43:13,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:13,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:13,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.66, mean=-0.0556, std=3.313, absmax=12.66 +2025-10-31 16:43:13,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.08, mean=-0.08914, std=2.808, absmax=10.23 +2025-10-31 16:43:13,742 ERROR: Encountered non-finite generator loss at iter 3714; skipping update. +2025-10-31 16:43:13,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:13,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:13,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:13,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:13,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=14.66, mean=-0.1474, std=3.597, absmax=15.08 +2025-10-31 16:43:13,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.01, mean=-0.1352, std=2.93, absmax=10.63 +2025-10-31 16:43:14,244 ERROR: Encountered non-finite generator loss at iter 3715; skipping update. +2025-10-31 16:43:14,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:14,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:14,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.29, mean=-0.1714, std=3.074, absmax=12.29 +2025-10-31 16:43:14,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.705, mean=-0.1955, std=2.639, absmax=10.17 +2025-10-31 16:43:14,748 ERROR: Encountered non-finite generator loss at iter 3716; skipping update. +2025-10-31 16:43:14,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:14,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:14,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:14,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:14,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=16.02, mean=-0.1827, std=2.919, absmax=16.02 +2025-10-31 16:43:14,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.464, max=9.332, mean=-0.1507, std=2.321, absmax=9.464 +2025-10-31 16:43:15,253 ERROR: Encountered non-finite generator loss at iter 3717; skipping update. +2025-10-31 16:43:15,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:15,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:15,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.79, mean=-0.1602, std=2.537, absmax=12.18 +2025-10-31 16:43:15,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.972, mean=-0.1669, std=2.139, absmax=10.29 +2025-10-31 16:43:15,758 ERROR: Encountered non-finite generator loss at iter 3718; skipping update. +2025-10-31 16:43:15,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:15,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:15,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:15,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:15,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.02, max=11.84, mean=-0.06689, std=2.954, absmax=15.02 +2025-10-31 16:43:15,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.663, max=10.02, mean=-0.0517, std=2.398, absmax=10.02 +2025-10-31 16:43:16,264 ERROR: Encountered non-finite generator loss at iter 3719; skipping update. +2025-10-31 16:43:16,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:16,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:16,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.99, mean=-0.2225, std=3.272, absmax=14.23 +2025-10-31 16:43:16,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=9.493, mean=-0.2594, std=2.7, absmax=12.57 +2025-10-31 16:43:16,768 ERROR: Encountered non-finite generator loss at iter 3720; skipping update. +2025-10-31 16:43:16,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:16,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:16,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:16,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:16,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=10.27, mean=-0.206, std=3.223, absmax=14.14 +2025-10-31 16:43:16,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.6, max=8.928, mean=-0.2383, std=2.82, absmax=12.6 +2025-10-31 16:43:17,272 ERROR: Encountered non-finite generator loss at iter 3721; skipping update. +2025-10-31 16:43:17,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:17,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:17,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=9.944, mean=-0.194, std=2.669, absmax=13.47 +2025-10-31 16:43:17,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=8.259, mean=-0.1661, std=2.368, absmax=11.42 +2025-10-31 16:43:17,777 ERROR: Encountered non-finite generator loss at iter 3722; skipping update. +2025-10-31 16:43:17,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:17,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:17,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:17,784 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:17,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.16, mean=0.05788, std=3.882, absmax=15.16 +2025-10-31 16:43:17,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=14.82, mean=0.05527, std=3.404, absmax=14.82 +2025-10-31 16:43:18,280 ERROR: Encountered non-finite generator loss at iter 3723; skipping update. +2025-10-31 16:43:18,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,283 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,286 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:18,287 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:18,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.23, mean=-0.272, std=2.78, absmax=13.08 +2025-10-31 16:43:18,289 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=8.865, mean=-0.2361, std=2.207, absmax=10.53 +2025-10-31 16:43:18,783 ERROR: Encountered non-finite generator loss at iter 3724; skipping update. +2025-10-31 16:43:18,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:18,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:18,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:18,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:18,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.83, mean=-0.1298, std=3.553, absmax=13.83 +2025-10-31 16:43:18,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.946, max=13, mean=-0.07188, std=3.002, absmax=13 +2025-10-31 16:43:19,288 ERROR: Encountered non-finite generator loss at iter 3725; skipping update. +2025-10-31 16:43:19,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,292 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,293 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,294 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:19,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:19,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.76, mean=-0.2927, std=3.128, absmax=13.76 +2025-10-31 16:43:19,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.369, mean=-0.2982, std=2.689, absmax=11.54 +2025-10-31 16:43:19,792 ERROR: Encountered non-finite generator loss at iter 3726; skipping update. +2025-10-31 16:43:19,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,796 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:19,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:19,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:19,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:19,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.34, mean=-0.2827, std=2.361, absmax=11.79 +2025-10-31 16:43:19,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.523, max=7.435, mean=-0.2634, std=2.007, absmax=8.523 +2025-10-31 16:43:20,298 ERROR: Encountered non-finite generator loss at iter 3727; skipping update. +2025-10-31 16:43:20,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:20,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:20,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.73, mean=-0.1377, std=2.885, absmax=12.73 +2025-10-31 16:43:20,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.795, max=9.177, mean=-0.1446, std=2.279, absmax=9.177 +2025-10-31 16:43:20,803 ERROR: Encountered non-finite generator loss at iter 3728; skipping update. +2025-10-31 16:43:20,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:20,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:20,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:20,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:20,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.54, mean=-0.1689, std=3.051, absmax=14.13 +2025-10-31 16:43:20,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.73, mean=-0.132, std=2.634, absmax=11.07 +2025-10-31 16:43:21,306 ERROR: Encountered non-finite generator loss at iter 3729; skipping update. +2025-10-31 16:43:21,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:21,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:21,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.82, mean=-0.2549, std=3.087, absmax=13.66 +2025-10-31 16:43:21,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.55, max=9.512, mean=-0.2653, std=2.622, absmax=9.55 +2025-10-31 16:43:21,809 ERROR: Encountered non-finite generator loss at iter 3730; skipping update. +2025-10-31 16:43:21,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:21,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:21,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:21,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:21,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.59, mean=-0.3324, std=2.806, absmax=13.59 +2025-10-31 16:43:21,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.893, max=9.803, mean=-0.3375, std=2.301, absmax=9.803 +2025-10-31 16:43:22,311 ERROR: Encountered non-finite generator loss at iter 3731; skipping update. +2025-10-31 16:43:22,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,314 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:22,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:22,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.97, mean=0.1045, std=3.101, absmax=11.97 +2025-10-31 16:43:22,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.742, mean=0.09729, std=2.687, absmax=10.29 +2025-10-31 16:43:22,813 ERROR: Encountered non-finite generator loss at iter 3732; skipping update. +2025-10-31 16:43:22,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:22,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:22,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:22,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:22,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.04, mean=-0.06119, std=3.251, absmax=14.04 +2025-10-31 16:43:22,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.724, max=11, mean=-0.02243, std=2.752, absmax=11 +2025-10-31 16:43:23,319 ERROR: Encountered non-finite generator loss at iter 3733; skipping update. +2025-10-31 16:43:23,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:23,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:23,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.58, mean=-0.1823, std=3.365, absmax=13.9 +2025-10-31 16:43:23,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.147, mean=-0.2037, std=2.571, absmax=10.29 +2025-10-31 16:43:23,819 ERROR: Encountered non-finite generator loss at iter 3734; skipping update. +2025-10-31 16:43:23,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:23,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:23,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:23,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:23,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.36, mean=-0.07899, std=3.007, absmax=13.36 +2025-10-31 16:43:23,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.953, max=9.833, mean=-0.09375, std=2.528, absmax=9.953 +2025-10-31 16:43:24,321 ERROR: Encountered non-finite generator loss at iter 3735; skipping update. +2025-10-31 16:43:24,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:24,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:24,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.71, mean=-0.0631, std=3.403, absmax=14.71 +2025-10-31 16:43:24,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=11.06, mean=-0.03222, std=3.027, absmax=12.16 +2025-10-31 16:43:24,823 ERROR: Encountered non-finite generator loss at iter 3736; skipping update. +2025-10-31 16:43:24,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:24,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:24,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:24,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:24,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.68, mean=-0.2155, std=2.67, absmax=12.68 +2025-10-31 16:43:24,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.199, max=9.174, mean=-0.2114, std=2.262, absmax=9.199 +2025-10-31 16:43:25,324 ERROR: Encountered non-finite generator loss at iter 3737; skipping update. +2025-10-31 16:43:25,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:25,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:25,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.09, mean=-0.1832, std=2.757, absmax=12.09 +2025-10-31 16:43:25,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.869, max=9.245, mean=-0.1621, std=2.234, absmax=9.245 +2025-10-31 16:43:25,825 ERROR: Encountered non-finite generator loss at iter 3738; skipping update. +2025-10-31 16:43:25,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:25,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:25,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:25,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:25,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.45, mean=-0.2538, std=3.111, absmax=14.45 +2025-10-31 16:43:25,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.742, mean=-0.261, std=2.634, absmax=10.76 +2025-10-31 16:43:26,326 ERROR: Encountered non-finite generator loss at iter 3739; skipping update. +2025-10-31 16:43:26,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:26,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:26,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=14.73, mean=-0.2436, std=2.696, absmax=14.73 +2025-10-31 16:43:26,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.497, max=11.56, mean=-0.182, std=2.248, absmax=11.56 +2025-10-31 16:43:26,826 ERROR: Encountered non-finite generator loss at iter 3740; skipping update. +2025-10-31 16:43:26,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:26,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:26,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:26,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:26,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=16.3, mean=-0.2405, std=3.031, absmax=16.3 +2025-10-31 16:43:26,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.301, mean=-0.2242, std=2.653, absmax=10.8 +2025-10-31 16:43:27,329 ERROR: Encountered non-finite generator loss at iter 3741; skipping update. +2025-10-31 16:43:27,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:27,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:27,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.83, mean=-0.02381, std=2.955, absmax=14.75 +2025-10-31 16:43:27,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.7, mean=-0.03204, std=2.43, absmax=11.7 +2025-10-31 16:43:27,832 ERROR: Encountered non-finite generator loss at iter 3742; skipping update. +2025-10-31 16:43:27,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:27,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:27,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:27,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:27,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.86, mean=-0.1251, std=2.689, absmax=12.86 +2025-10-31 16:43:27,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.122, max=9.715, mean=-0.128, std=2.306, absmax=9.715 +2025-10-31 16:43:28,334 ERROR: Encountered non-finite generator loss at iter 3743; skipping update. +2025-10-31 16:43:28,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:28,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:28,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.62, mean=-0.2962, std=3.507, absmax=14.62 +2025-10-31 16:43:28,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.38, mean=-0.3218, std=2.951, absmax=10.85 +2025-10-31 16:43:28,838 ERROR: Encountered non-finite generator loss at iter 3744; skipping update. +2025-10-31 16:43:28,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:28,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:28,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:28,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:28,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.74, mean=-0.19, std=2.307, absmax=12.08 +2025-10-31 16:43:28,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.787, max=10.34, mean=-0.1391, std=2.046, absmax=10.34 +2025-10-31 16:43:29,342 ERROR: Encountered non-finite generator loss at iter 3745; skipping update. +2025-10-31 16:43:29,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:29,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:29,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.82, mean=-0.1705, std=2.504, absmax=12.82 +2025-10-31 16:43:29,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.998, max=9.949, mean=-0.1639, std=2.279, absmax=9.949 +2025-10-31 16:43:29,844 ERROR: Encountered non-finite generator loss at iter 3746; skipping update. +2025-10-31 16:43:29,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:29,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:29,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:29,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:29,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.03, mean=-0.0537, std=3.389, absmax=14.03 +2025-10-31 16:43:29,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.774, max=12.54, mean=-0.06901, std=2.916, absmax=12.54 +2025-10-31 16:43:30,345 ERROR: Encountered non-finite generator loss at iter 3747; skipping update. +2025-10-31 16:43:30,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:30,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:30,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.77, mean=-0.07672, std=3.558, absmax=14.77 +2025-10-31 16:43:30,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.845, max=11.45, mean=-0.1134, std=2.997, absmax=11.45 +2025-10-31 16:43:30,847 ERROR: Encountered non-finite generator loss at iter 3748; skipping update. +2025-10-31 16:43:30,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:30,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:30,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:30,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:30,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=15.57, mean=0.02219, std=3.53, absmax=15.57 +2025-10-31 16:43:30,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.235, max=14.85, mean=0.01525, std=3.187, absmax=14.85 +2025-10-31 16:43:31,349 ERROR: Encountered non-finite generator loss at iter 3749; skipping update. +2025-10-31 16:43:31,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:31,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:31,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.36, mean=-0.2445, std=3.193, absmax=13.36 +2025-10-31 16:43:31,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.01, mean=-0.2645, std=2.55, absmax=10.26 +2025-10-31 16:43:31,852 ERROR: Encountered non-finite generator loss at iter 3750; skipping update. +2025-10-31 16:43:31,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,854 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:31,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:31,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:31,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:31,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.08, mean=-0.01841, std=2.961, absmax=13.08 +2025-10-31 16:43:31,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.13, mean=0.002401, std=2.691, absmax=10.65 +2025-10-31 16:43:32,356 ERROR: Encountered non-finite generator loss at iter 3751; skipping update. +2025-10-31 16:43:32,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,359 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:32,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:32,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=13.12, mean=-0.02805, std=3.434, absmax=14.84 +2025-10-31 16:43:32,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=10.06, mean=-0.09085, std=2.724, absmax=11.88 +2025-10-31 16:43:32,858 ERROR: Encountered non-finite generator loss at iter 3752; skipping update. +2025-10-31 16:43:32,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:32,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:32,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:32,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:32,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.03, mean=-0.07381, std=3.196, absmax=13.43 +2025-10-31 16:43:32,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.881, mean=-0.09615, std=2.551, absmax=10.6 +2025-10-31 16:43:33,360 ERROR: Encountered non-finite generator loss at iter 3753; skipping update. +2025-10-31 16:43:33,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,366 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:33,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:33,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=10.75, mean=-0.3027, std=2.842, absmax=11.39 +2025-10-31 16:43:33,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.229, max=9.253, mean=-0.2881, std=2.472, absmax=9.253 +2025-10-31 16:43:33,864 ERROR: Encountered non-finite generator loss at iter 3754; skipping update. +2025-10-31 16:43:33,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:33,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:33,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:33,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:33,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.5, mean=-0.2922, std=2.897, absmax=14.59 +2025-10-31 16:43:33,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.29, max=13.29, mean=-0.2684, std=2.541, absmax=13.29 +2025-10-31 16:43:34,365 ERROR: Encountered non-finite generator loss at iter 3755; skipping update. +2025-10-31 16:43:34,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:34,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:34,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.59, mean=-0.2607, std=3.291, absmax=13.59 +2025-10-31 16:43:34,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.907, mean=-0.2272, std=2.622, absmax=10.88 +2025-10-31 16:43:34,866 ERROR: Encountered non-finite generator loss at iter 3756; skipping update. +2025-10-31 16:43:34,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:34,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:34,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:34,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:34,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=10.47, mean=-0.345, std=2.733, absmax=13.15 +2025-10-31 16:43:34,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=8.613, mean=-0.3658, std=2.301, absmax=12.56 +2025-10-31 16:43:35,369 ERROR: Encountered non-finite generator loss at iter 3757; skipping update. +2025-10-31 16:43:35,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:35,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:35,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.07, max=15.3, mean=-0.0803, std=3.055, absmax=16.07 +2025-10-31 16:43:35,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-16.57, max=12.54, mean=-0.09247, std=2.719, absmax=16.57 +2025-10-31 16:43:35,872 ERROR: Encountered non-finite generator loss at iter 3758; skipping update. +2025-10-31 16:43:35,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:35,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:35,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:35,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:35,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.82, mean=-0.07397, std=3.156, absmax=14.82 +2025-10-31 16:43:35,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.266, mean=-0.09933, std=2.395, absmax=10.11 +2025-10-31 16:43:36,373 ERROR: Encountered non-finite generator loss at iter 3759; skipping update. +2025-10-31 16:43:36,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:36,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:36,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=15.89, mean=-0.1996, std=3.273, absmax=15.89 +2025-10-31 16:43:36,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=13.1, mean=-0.2229, std=2.675, absmax=13.1 +2025-10-31 16:43:36,877 ERROR: Encountered non-finite generator loss at iter 3760; skipping update. +2025-10-31 16:43:36,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:36,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:36,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:36,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:36,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.98, mean=-0.1391, std=3.241, absmax=14.08 +2025-10-31 16:43:36,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=8.396, mean=-0.1784, std=2.732, absmax=12.19 +2025-10-31 16:43:37,381 ERROR: Encountered non-finite generator loss at iter 3761; skipping update. +2025-10-31 16:43:37,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:37,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:37,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.49, mean=-0.213, std=2.77, absmax=12.19 +2025-10-31 16:43:37,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=9.573, mean=-0.1849, std=2.438, absmax=11.95 +2025-10-31 16:43:37,883 ERROR: Encountered non-finite generator loss at iter 3762; skipping update. +2025-10-31 16:43:37,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:37,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:37,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:37,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:37,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=16.58, mean=-0.4069, std=2.997, absmax=16.58 +2025-10-31 16:43:37,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.89, mean=-0.3508, std=2.578, absmax=10.95 +2025-10-31 16:43:38,385 ERROR: Encountered non-finite generator loss at iter 3763; skipping update. +2025-10-31 16:43:38,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:38,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:38,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.7, mean=-0.3843, std=2.87, absmax=13.7 +2025-10-31 16:43:38,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=10.62, mean=-0.3874, std=2.472, absmax=10.92 +2025-10-31 16:43:38,887 ERROR: Encountered non-finite generator loss at iter 3764; skipping update. +2025-10-31 16:43:38,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,890 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:38,893 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:38,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:38,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:38,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.09, mean=-0.2744, std=2.978, absmax=13.69 +2025-10-31 16:43:38,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.92, max=9.827, mean=-0.285, std=2.548, absmax=13.92 +2025-10-31 16:43:39,389 ERROR: Encountered non-finite generator loss at iter 3765; skipping update. +2025-10-31 16:43:39,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,392 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,393 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,394 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,395 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,396 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:39,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:39,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.49, mean=-0.2041, std=3.225, absmax=15.49 +2025-10-31 16:43:39,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=10.22, mean=-0.2244, std=2.676, absmax=11.1 +2025-10-31 16:43:39,893 ERROR: Encountered non-finite generator loss at iter 3766; skipping update. +2025-10-31 16:43:39,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:39,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:39,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:39,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:39,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.39, mean=0.02455, std=2.981, absmax=13.39 +2025-10-31 16:43:39,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.25, max=10.41, mean=-0.03709, std=2.387, absmax=10.41 +2025-10-31 16:43:40,396 ERROR: Encountered non-finite generator loss at iter 3767; skipping update. +2025-10-31 16:43:40,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:40,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:40,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.51, mean=-0.2755, std=2.524, absmax=13.2 +2025-10-31 16:43:40,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.491, max=7.94, mean=-0.2565, std=2.013, absmax=9.491 +2025-10-31 16:43:40,899 ERROR: Encountered non-finite generator loss at iter 3768; skipping update. +2025-10-31 16:43:40,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:40,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:40,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:40,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:40,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=11.83, mean=-0.1561, std=2.379, absmax=11.83 +2025-10-31 16:43:40,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.479, max=7.822, mean=-0.1832, std=2.054, absmax=8.479 +2025-10-31 16:43:41,403 ERROR: Encountered non-finite generator loss at iter 3769; skipping update. +2025-10-31 16:43:41,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:41,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:41,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.62, mean=-0.2867, std=2.672, absmax=13.02 +2025-10-31 16:43:41,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.327, mean=-0.2223, std=2.263, absmax=10.09 +2025-10-31 16:43:41,905 ERROR: Encountered non-finite generator loss at iter 3770; skipping update. +2025-10-31 16:43:41,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:41,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:41,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:41,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:41,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=15.03, mean=-0.1391, std=3.113, absmax=15.03 +2025-10-31 16:43:41,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=8.753, mean=-0.1212, std=2.495, absmax=12.66 +2025-10-31 16:43:42,409 ERROR: Encountered non-finite generator loss at iter 3771; skipping update. +2025-10-31 16:43:42,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:42,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:42,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.02, mean=-0.2452, std=3.518, absmax=14.02 +2025-10-31 16:43:42,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.92, max=11.39, mean=-0.2112, std=2.7, absmax=11.39 +2025-10-31 16:43:42,912 ERROR: Encountered non-finite generator loss at iter 3772; skipping update. +2025-10-31 16:43:42,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,918 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:42,919 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:42,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:42,921 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:42,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=13.1, mean=-0.2411, std=3.279, absmax=14.56 +2025-10-31 16:43:42,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.31, mean=-0.1752, std=2.767, absmax=10.43 +2025-10-31 16:43:43,417 ERROR: Encountered non-finite generator loss at iter 3773; skipping update. +2025-10-31 16:43:43,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:43,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:43,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.72, mean=-0.172, std=3.329, absmax=13.5 +2025-10-31 16:43:43,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=8.982, mean=-0.1772, std=2.875, absmax=11.09 +2025-10-31 16:43:43,921 ERROR: Encountered non-finite generator loss at iter 3774; skipping update. +2025-10-31 16:43:43,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:43,928 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:43,929 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:43,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:43,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.21, mean=-0.04308, std=3.36, absmax=14.15 +2025-10-31 16:43:43,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.94, mean=-0.04173, std=2.806, absmax=10.94 +2025-10-31 16:43:44,425 ERROR: Encountered non-finite generator loss at iter 3775; skipping update. +2025-10-31 16:43:44,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:44,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:44,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.14, mean=-0.03751, std=3.152, absmax=14.14 +2025-10-31 16:43:44,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.878, max=10.35, mean=-0.04656, std=2.507, absmax=10.35 +2025-10-31 16:43:44,929 ERROR: Encountered non-finite generator loss at iter 3776; skipping update. +2025-10-31 16:43:44,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:44,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:44,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:44,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:44,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=9.439, mean=-0.2143, std=2.901, absmax=12.4 +2025-10-31 16:43:44,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=7.744, mean=-0.2577, std=2.465, absmax=10.2 +2025-10-31 16:43:45,431 ERROR: Encountered non-finite generator loss at iter 3777; skipping update. +2025-10-31 16:43:45,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,437 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:45,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:45,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.26, mean=-0.1629, std=2.93, absmax=13.26 +2025-10-31 16:43:45,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.523, mean=-0.2046, std=2.317, absmax=10.26 +2025-10-31 16:43:45,936 ERROR: Encountered non-finite generator loss at iter 3778; skipping update. +2025-10-31 16:43:45,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:45,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:45,944 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:45,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:45,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=15.88, mean=-0.3073, std=3.34, absmax=15.88 +2025-10-31 16:43:45,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=9.496, mean=-0.2923, std=2.7, absmax=11.56 +2025-10-31 16:43:46,441 ERROR: Encountered non-finite generator loss at iter 3779; skipping update. +2025-10-31 16:43:46,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:46,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:46,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.97, mean=-0.04434, std=3.706, absmax=13.97 +2025-10-31 16:43:46,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.92, mean=-0.05807, std=2.943, absmax=10.92 +2025-10-31 16:43:46,945 ERROR: Encountered non-finite generator loss at iter 3780; skipping update. +2025-10-31 16:43:46,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:46,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:46,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:46,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:46,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.12, mean=-0.0651, std=3.759, absmax=13.38 +2025-10-31 16:43:46,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.538, mean=-0.1145, std=2.961, absmax=10.07 +2025-10-31 16:43:47,449 ERROR: Encountered non-finite generator loss at iter 3781; skipping update. +2025-10-31 16:43:47,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,451 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:47,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:47,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.23, mean=-0.2967, std=3.474, absmax=15.23 +2025-10-31 16:43:47,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=11.16, mean=-0.31, std=2.763, absmax=11.55 +2025-10-31 16:43:47,952 ERROR: Encountered non-finite generator loss at iter 3782; skipping update. +2025-10-31 16:43:47,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:47,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:47,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:47,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:47,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.69, mean=-0.2104, std=3.565, absmax=13.7 +2025-10-31 16:43:47,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.56, max=12.18, mean=-0.2157, std=3.224, absmax=13.56 +2025-10-31 16:43:48,456 ERROR: Encountered non-finite generator loss at iter 3783; skipping update. +2025-10-31 16:43:48,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:48,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:48,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.53, mean=-0.1942, std=2.761, absmax=12.73 +2025-10-31 16:43:48,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.935, max=9.792, mean=-0.1654, std=2.263, absmax=9.935 +2025-10-31 16:43:48,959 ERROR: Encountered non-finite generator loss at iter 3784; skipping update. +2025-10-31 16:43:48,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:48,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:48,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:48,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:48,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.94, mean=-0.3123, std=3.393, absmax=13.94 +2025-10-31 16:43:48,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.07, mean=-0.2857, std=2.78, absmax=10.7 +2025-10-31 16:43:49,461 ERROR: Encountered non-finite generator loss at iter 3785; skipping update. +2025-10-31 16:43:49,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:49,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:49,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=16.96, mean=-0.1784, std=2.998, absmax=16.96 +2025-10-31 16:43:49,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=12.06, mean=-0.1819, std=2.595, absmax=12.06 +2025-10-31 16:43:49,963 ERROR: Encountered non-finite generator loss at iter 3786; skipping update. +2025-10-31 16:43:49,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:49,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:49,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:49,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:49,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=10.91, mean=-0.135, std=2.628, absmax=11.11 +2025-10-31 16:43:49,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.742, max=9.535, mean=-0.1356, std=2.256, absmax=9.535 +2025-10-31 16:43:50,465 ERROR: Encountered non-finite generator loss at iter 3787; skipping update. +2025-10-31 16:43:50,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:50,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:50,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.9, mean=-0.09359, std=2.955, absmax=12.9 +2025-10-31 16:43:50,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.831, max=8.212, mean=-0.1094, std=2.539, absmax=9.831 +2025-10-31 16:43:50,966 ERROR: Encountered non-finite generator loss at iter 3788; skipping update. +2025-10-31 16:43:50,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:50,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:50,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:50,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:50,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.15, mean=-0.1569, std=3.11, absmax=13.15 +2025-10-31 16:43:50,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=10.07, mean=-0.156, std=2.642, absmax=10.07 +2025-10-31 16:43:51,467 ERROR: Encountered non-finite generator loss at iter 3789; skipping update. +2025-10-31 16:43:51,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:51,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:51,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=14.58, mean=-0.216, std=2.937, absmax=16.54 +2025-10-31 16:43:51,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=9.238, mean=-0.1797, std=2.475, absmax=11.65 +2025-10-31 16:43:51,968 ERROR: Encountered non-finite generator loss at iter 3790; skipping update. +2025-10-31 16:43:51,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,970 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:51,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:51,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:51,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:51,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.56, mean=0.01127, std=2.988, absmax=12.41 +2025-10-31 16:43:51,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.189, mean=-0.02582, std=2.428, absmax=10.71 +2025-10-31 16:43:52,468 ERROR: Encountered non-finite generator loss at iter 3791; skipping update. +2025-10-31 16:43:52,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:52,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:52,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.53, mean=-0.2785, std=2.843, absmax=15.53 +2025-10-31 16:43:52,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.05, mean=-0.2518, std=2.317, absmax=11.05 +2025-10-31 16:43:52,970 ERROR: Encountered non-finite generator loss at iter 3792; skipping update. +2025-10-31 16:43:52,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:52,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:52,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:52,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:52,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=10.86, mean=-0.1552, std=2.775, absmax=12.48 +2025-10-31 16:43:52,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=7.91, mean=-0.2253, std=2.259, absmax=10.86 +2025-10-31 16:43:53,472 ERROR: Encountered non-finite generator loss at iter 3793; skipping update. +2025-10-31 16:43:53,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:53,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:53,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=11.89, mean=0.02333, std=3.048, absmax=14.05 +2025-10-31 16:43:53,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=10.03, mean=-0.02779, std=2.643, absmax=11.88 +2025-10-31 16:43:53,975 ERROR: Encountered non-finite generator loss at iter 3794; skipping update. +2025-10-31 16:43:53,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:53,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:53,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:53,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:53,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.65, mean=-0.09141, std=3.138, absmax=14.65 +2025-10-31 16:43:53,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.25, mean=-0.118, std=2.495, absmax=10.25 +2025-10-31 16:43:54,477 ERROR: Encountered non-finite generator loss at iter 3795; skipping update. +2025-10-31 16:43:54,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:54,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:54,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.22, mean=-0.2593, std=3.027, absmax=12.22 +2025-10-31 16:43:54,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.843, max=9.126, mean=-0.2356, std=2.486, absmax=9.843 +2025-10-31 16:43:54,980 ERROR: Encountered non-finite generator loss at iter 3796; skipping update. +2025-10-31 16:43:54,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:54,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:54,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:54,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:54,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=13.89, mean=-0.1743, std=2.79, absmax=15.23 +2025-10-31 16:43:54,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=11.16, mean=-0.2171, std=2.565, absmax=11.16 +2025-10-31 16:43:55,483 ERROR: Encountered non-finite generator loss at iter 3797; skipping update. +2025-10-31 16:43:55,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:55,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:55,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.65, mean=-0.2574, std=2.712, absmax=14.65 +2025-10-31 16:43:55,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.219, mean=-0.254, std=2.223, absmax=10.09 +2025-10-31 16:43:55,987 ERROR: Encountered non-finite generator loss at iter 3798; skipping update. +2025-10-31 16:43:55,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:55,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:55,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:55,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:55,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.75, mean=-0.2029, std=2.909, absmax=12.28 +2025-10-31 16:43:55,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.78, max=9.073, mean=-0.2243, std=2.483, absmax=9.78 +2025-10-31 16:43:56,491 ERROR: Encountered non-finite generator loss at iter 3799; skipping update. +2025-10-31 16:43:56,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:56,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:56,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:56,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:56,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:56,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:56,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:56,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:56,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.97, mean=-0.2055, std=2.781, absmax=13.97 +2025-10-31 16:43:56,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=8.078, mean=-0.1966, std=2.192, absmax=11.84 +2025-10-31 16:43:56,994 ERROR: Encountered non-finite generator loss at iter 3800; skipping update. +2025-10-31 16:43:56,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:56,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:56,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:56,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:56,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:57,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:57,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:57,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:57,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=15.48, mean=-0.04304, std=2.979, absmax=15.48 +2025-10-31 16:43:57,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.94, max=10.62, mean=-0.09043, std=2.403, absmax=10.62 +2025-10-31 16:43:57,006 INFO: [29..][epoch: 0, step: 3,800, lr:(1.500e-04,)] [eta: 1 day, 19:06:49, time (data): 0.503 (0.000)] +2025-10-31 16:43:57,499 ERROR: Encountered non-finite generator loss at iter 3801; skipping update. +2025-10-31 16:43:57,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:57,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:57,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:57,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:57,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:57,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:57,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:57,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:57,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.96, mean=-0.06997, std=3.593, absmax=13.46 +2025-10-31 16:43:57,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.73, mean=-0.04958, std=2.859, absmax=11.39 +2025-10-31 16:43:58,002 ERROR: Encountered non-finite generator loss at iter 3802; skipping update. +2025-10-31 16:43:58,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:58,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:58,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.32, mean=-0.3355, std=3.302, absmax=14.07 +2025-10-31 16:43:58,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=9.124, mean=-0.2817, std=2.653, absmax=13.45 +2025-10-31 16:43:58,505 ERROR: Encountered non-finite generator loss at iter 3803; skipping update. +2025-10-31 16:43:58,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:58,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:58,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:58,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:58,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16, max=12.49, mean=-0.2343, std=3.058, absmax=16 +2025-10-31 16:43:58,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=8.69, mean=-0.2065, std=2.543, absmax=10.87 +2025-10-31 16:43:59,008 ERROR: Encountered non-finite generator loss at iter 3804; skipping update. +2025-10-31 16:43:59,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:59,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:59,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=9.91, mean=-0.2426, std=2.5, absmax=11.3 +2025-10-31 16:43:59,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.607, max=7.646, mean=-0.208, std=2.033, absmax=8.607 +2025-10-31 16:43:59,513 ERROR: Encountered non-finite generator loss at iter 3805; skipping update. +2025-10-31 16:43:59,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,516 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,517 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:43:59,518 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:43:59,519 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:43:59,520 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:43:59,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.88, mean=-0.1864, std=2.905, absmax=12.17 +2025-10-31 16:43:59,522 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.985, max=8.335, mean=-0.1346, std=2.632, absmax=9.985 +2025-10-31 16:44:00,015 ERROR: Encountered non-finite generator loss at iter 3806; skipping update. +2025-10-31 16:44:00,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:00,023 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:00,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.37, mean=-0.3173, std=2.919, absmax=13.58 +2025-10-31 16:44:00,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=8.682, mean=-0.2852, std=2.447, absmax=11.01 +2025-10-31 16:44:00,518 ERROR: Encountered non-finite generator loss at iter 3807; skipping update. +2025-10-31 16:44:00,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:00,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:00,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:00,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:00,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=14.5, mean=-0.07176, std=2.924, absmax=14.5 +2025-10-31 16:44:00,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=10.66, mean=-0.07601, std=2.454, absmax=10.66 +2025-10-31 16:44:01,019 ERROR: Encountered non-finite generator loss at iter 3808; skipping update. +2025-10-31 16:44:01,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:01,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:01,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.42, mean=-0.2559, std=2.399, absmax=12.42 +2025-10-31 16:44:01,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.458, max=7.801, mean=-0.2182, std=2.059, absmax=8.458 +2025-10-31 16:44:01,525 ERROR: Encountered non-finite generator loss at iter 3809; skipping update. +2025-10-31 16:44:01,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:01,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:01,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:01,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:01,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=14.7, mean=0.02695, std=3.365, absmax=14.7 +2025-10-31 16:44:01,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=14.15, mean=-0.0116, std=2.981, absmax=14.15 +2025-10-31 16:44:02,027 ERROR: Encountered non-finite generator loss at iter 3810; skipping update. +2025-10-31 16:44:02,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:02,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:02,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.06, mean=-0.1367, std=2.841, absmax=14.06 +2025-10-31 16:44:02,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.76, mean=-0.1484, std=2.379, absmax=10.75 +2025-10-31 16:44:02,531 ERROR: Encountered non-finite generator loss at iter 3811; skipping update. +2025-10-31 16:44:02,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:02,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:02,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:02,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:02,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.45, mean=-0.1316, std=3.6, absmax=13.45 +2025-10-31 16:44:02,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.768, mean=-0.1271, std=2.804, absmax=10.67 +2025-10-31 16:44:03,035 ERROR: Encountered non-finite generator loss at iter 3812; skipping update. +2025-10-31 16:44:03,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:03,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:03,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.64, max=16.49, mean=-0.2403, std=3.406, absmax=17.64 +2025-10-31 16:44:03,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=8.845, mean=-0.1677, std=2.817, absmax=11.23 +2025-10-31 16:44:03,539 ERROR: Encountered non-finite generator loss at iter 3813; skipping update. +2025-10-31 16:44:03,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:03,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:03,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:03,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:03,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=13.57, mean=-0.2057, std=2.544, absmax=13.57 +2025-10-31 16:44:03,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.06, mean=-0.2163, std=2.316, absmax=11.06 +2025-10-31 16:44:04,044 ERROR: Encountered non-finite generator loss at iter 3814; skipping update. +2025-10-31 16:44:04,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:04,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:04,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=17.23, mean=-0.2757, std=3.27, absmax=17.23 +2025-10-31 16:44:04,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.36, max=8.644, mean=-0.2894, std=2.818, absmax=13.36 +2025-10-31 16:44:04,547 ERROR: Encountered non-finite generator loss at iter 3815; skipping update. +2025-10-31 16:44:04,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:04,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:04,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:04,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:04,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=15.44, mean=-0.05872, std=3.117, absmax=15.44 +2025-10-31 16:44:04,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.637, max=13.48, mean=-0.04156, std=2.814, absmax=13.48 +2025-10-31 16:44:05,050 ERROR: Encountered non-finite generator loss at iter 3816; skipping update. +2025-10-31 16:44:05,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:05,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:05,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.93, mean=-0.037, std=3.002, absmax=11.93 +2025-10-31 16:44:05,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.78, max=10.26, mean=-0.1122, std=2.549, absmax=10.26 +2025-10-31 16:44:05,555 ERROR: Encountered non-finite generator loss at iter 3817; skipping update. +2025-10-31 16:44:05,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:05,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:05,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:05,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:05,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.56, mean=-0.009072, std=3.077, absmax=12.56 +2025-10-31 16:44:05,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.727, max=10.79, mean=0.01075, std=2.672, absmax=10.79 +2025-10-31 16:44:06,058 ERROR: Encountered non-finite generator loss at iter 3818; skipping update. +2025-10-31 16:44:06,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:06,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:06,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=15.46, mean=-0.3158, std=3.822, absmax=15.46 +2025-10-31 16:44:06,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=12.89, mean=-0.2997, std=3.324, absmax=12.89 +2025-10-31 16:44:06,563 ERROR: Encountered non-finite generator loss at iter 3819; skipping update. +2025-10-31 16:44:06,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:06,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:06,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:06,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:06,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.51, mean=0.007108, std=3.47, absmax=13.51 +2025-10-31 16:44:06,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.198, max=12.21, mean=0.002754, std=2.911, absmax=12.21 +2025-10-31 16:44:07,065 ERROR: Encountered non-finite generator loss at iter 3820; skipping update. +2025-10-31 16:44:07,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,071 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:07,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:07,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=13.23, mean=-0.2097, std=2.634, absmax=13.23 +2025-10-31 16:44:07,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.931, max=8.936, mean=-0.1851, std=2.252, absmax=8.936 +2025-10-31 16:44:07,571 ERROR: Encountered non-finite generator loss at iter 3821; skipping update. +2025-10-31 16:44:07,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:07,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:07,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:07,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:07,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.39, mean=-0.2043, std=2.985, absmax=11.65 +2025-10-31 16:44:07,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.61, max=8.595, mean=-0.1921, std=2.52, absmax=9.61 +2025-10-31 16:44:08,074 ERROR: Encountered non-finite generator loss at iter 3822; skipping update. +2025-10-31 16:44:08,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:08,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:08,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=16.14, mean=-0.2271, std=2.781, absmax=16.14 +2025-10-31 16:44:08,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.552, max=8.643, mean=-0.237, std=2.202, absmax=8.643 +2025-10-31 16:44:08,577 ERROR: Encountered non-finite generator loss at iter 3823; skipping update. +2025-10-31 16:44:08,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:08,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:08,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:08,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:08,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.48, mean=-0.04158, std=3.103, absmax=13.73 +2025-10-31 16:44:08,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=11.27, mean=-0.04813, std=2.544, absmax=11.27 +2025-10-31 16:44:09,081 ERROR: Encountered non-finite generator loss at iter 3824; skipping update. +2025-10-31 16:44:09,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:09,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:09,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.04, mean=-0.2779, std=3.129, absmax=13.23 +2025-10-31 16:44:09,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.695, max=10.26, mean=-0.2594, std=2.436, absmax=10.26 +2025-10-31 16:44:09,585 ERROR: Encountered non-finite generator loss at iter 3825; skipping update. +2025-10-31 16:44:09,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:09,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:09,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:09,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:09,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.01, mean=-0.3001, std=2.643, absmax=12.01 +2025-10-31 16:44:09,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.747, max=8.551, mean=-0.3126, std=2.242, absmax=9.747 +2025-10-31 16:44:10,088 ERROR: Encountered non-finite generator loss at iter 3826; skipping update. +2025-10-31 16:44:10,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:10,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:10,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.76, mean=-0.1379, std=3.151, absmax=12.76 +2025-10-31 16:44:10,096 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.46, mean=-0.1003, std=2.775, absmax=10.46 +2025-10-31 16:44:10,590 ERROR: Encountered non-finite generator loss at iter 3827; skipping update. +2025-10-31 16:44:10,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:10,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:10,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:10,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:10,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.15, mean=-0.1135, std=2.833, absmax=13.15 +2025-10-31 16:44:10,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.593, max=8.769, mean=-0.137, std=2.459, absmax=9.593 +2025-10-31 16:44:11,093 ERROR: Encountered non-finite generator loss at iter 3828; skipping update. +2025-10-31 16:44:11,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:11,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:11,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.89, mean=-0.03073, std=2.755, absmax=14.89 +2025-10-31 16:44:11,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.237, max=11.99, mean=-0.08224, std=2.255, absmax=11.99 +2025-10-31 16:44:11,597 ERROR: Encountered non-finite generator loss at iter 3829; skipping update. +2025-10-31 16:44:11,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:11,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:11,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:11,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:11,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=15.51, mean=-0.2739, std=2.828, absmax=15.51 +2025-10-31 16:44:11,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.117, max=10.41, mean=-0.2622, std=2.256, absmax=10.41 +2025-10-31 16:44:12,101 ERROR: Encountered non-finite generator loss at iter 3830; skipping update. +2025-10-31 16:44:12,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:12,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:12,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=15.11, mean=-0.2621, std=2.887, absmax=15.11 +2025-10-31 16:44:12,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=10.91, mean=-0.2735, std=2.486, absmax=11.72 +2025-10-31 16:44:12,605 ERROR: Encountered non-finite generator loss at iter 3831; skipping update. +2025-10-31 16:44:12,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,608 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:12,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:12,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:12,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:12,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=10, mean=-0.212, std=2.302, absmax=12.01 +2025-10-31 16:44:12,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=7.448, mean=-0.2256, std=1.967, absmax=9.824 +2025-10-31 16:44:13,108 ERROR: Encountered non-finite generator loss at iter 3832; skipping update. +2025-10-31 16:44:13,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:13,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:13,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=14.05, mean=-0.2463, std=3.398, absmax=14.62 +2025-10-31 16:44:13,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=10.81, mean=-0.1801, std=2.677, absmax=10.84 +2025-10-31 16:44:13,618 ERROR: Encountered non-finite generator loss at iter 3833; skipping update. +2025-10-31 16:44:13,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:13,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:13,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:13,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:13,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.08, mean=-0.2109, std=2.835, absmax=11.6 +2025-10-31 16:44:13,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.928, max=9.701, mean=-0.2405, std=2.358, absmax=9.701 +2025-10-31 16:44:14,121 ERROR: Encountered non-finite generator loss at iter 3834; skipping update. +2025-10-31 16:44:14,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:14,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:14,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=17.11, mean=0.04743, std=3.647, absmax=17.11 +2025-10-31 16:44:14,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=12.73, mean=0.05194, std=3.108, absmax=12.73 +2025-10-31 16:44:14,623 ERROR: Encountered non-finite generator loss at iter 3835; skipping update. +2025-10-31 16:44:14,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:14,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:14,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:14,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:14,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=15.47, mean=-0.2767, std=3.033, absmax=15.47 +2025-10-31 16:44:14,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=11.69, mean=-0.2871, std=2.677, absmax=11.71 +2025-10-31 16:44:15,126 ERROR: Encountered non-finite generator loss at iter 3836; skipping update. +2025-10-31 16:44:15,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:15,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:15,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.01, mean=-0.2992, std=2.972, absmax=12.94 +2025-10-31 16:44:15,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=8.375, mean=-0.3141, std=2.446, absmax=10.98 +2025-10-31 16:44:15,627 ERROR: Encountered non-finite generator loss at iter 3837; skipping update. +2025-10-31 16:44:15,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:15,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:15,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:15,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:15,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.47, mean=-0.1624, std=3.193, absmax=12.62 +2025-10-31 16:44:15,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.117, mean=-0.1795, std=2.558, absmax=10.36 +2025-10-31 16:44:16,127 ERROR: Encountered non-finite generator loss at iter 3838; skipping update. +2025-10-31 16:44:16,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:16,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:16,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.97, mean=-0.05462, std=2.959, absmax=12.97 +2025-10-31 16:44:16,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=11.42, mean=-0.06752, std=2.516, absmax=11.42 +2025-10-31 16:44:16,628 ERROR: Encountered non-finite generator loss at iter 3839; skipping update. +2025-10-31 16:44:16,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:16,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:16,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:16,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:16,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.91, mean=0.0279, std=2.882, absmax=13.91 +2025-10-31 16:44:16,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.617, max=10.1, mean=-0.03574, std=2.385, absmax=10.1 +2025-10-31 16:44:17,129 ERROR: Encountered non-finite generator loss at iter 3840; skipping update. +2025-10-31 16:44:17,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:17,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:17,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.22, mean=-0.1464, std=2.948, absmax=13.44 +2025-10-31 16:44:17,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.616, max=9.554, mean=-0.1235, std=2.434, absmax=9.616 +2025-10-31 16:44:17,630 ERROR: Encountered non-finite generator loss at iter 3841; skipping update. +2025-10-31 16:44:17,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:17,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:17,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:17,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:17,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.26, mean=-0.108, std=3.416, absmax=12.91 +2025-10-31 16:44:17,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.718, mean=-0.1114, std=2.836, absmax=10.24 +2025-10-31 16:44:18,133 ERROR: Encountered non-finite generator loss at iter 3842; skipping update. +2025-10-31 16:44:18,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:18,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:18,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=10.76, mean=-0.3024, std=2.514, absmax=10.79 +2025-10-31 16:44:18,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.513, max=7.476, mean=-0.3235, std=2.108, absmax=8.513 +2025-10-31 16:44:18,635 ERROR: Encountered non-finite generator loss at iter 3843; skipping update. +2025-10-31 16:44:18,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:18,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:18,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:18,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:18,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.89, mean=-0.273, std=2.44, absmax=12.45 +2025-10-31 16:44:18,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.638, mean=-0.2781, std=2.196, absmax=10.05 +2025-10-31 16:44:19,137 ERROR: Encountered non-finite generator loss at iter 3844; skipping update. +2025-10-31 16:44:19,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:19,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:19,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.94, mean=-0.2537, std=3.395, absmax=13.94 +2025-10-31 16:44:19,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=10.85, mean=-0.2474, std=2.81, absmax=11.73 +2025-10-31 16:44:19,638 ERROR: Encountered non-finite generator loss at iter 3845; skipping update. +2025-10-31 16:44:19,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:19,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:19,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:19,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:19,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.71, mean=-0.2823, std=2.948, absmax=13.71 +2025-10-31 16:44:19,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=8.236, mean=-0.3143, std=2.494, absmax=11.67 +2025-10-31 16:44:20,141 ERROR: Encountered non-finite generator loss at iter 3846; skipping update. +2025-10-31 16:44:20,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,149 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:20,150 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:20,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.5, mean=-0.2834, std=2.741, absmax=12.5 +2025-10-31 16:44:20,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=9.564, mean=-0.2878, std=2.175, absmax=9.564 +2025-10-31 16:44:20,644 ERROR: Encountered non-finite generator loss at iter 3847; skipping update. +2025-10-31 16:44:20,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:20,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:20,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:20,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:20,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.37, mean=0.1266, std=3.65, absmax=13.46 +2025-10-31 16:44:20,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=12.06, mean=0.04891, std=3.088, absmax=12.06 +2025-10-31 16:44:21,148 ERROR: Encountered non-finite generator loss at iter 3848; skipping update. +2025-10-31 16:44:21,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:21,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:21,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.48, mean=-0.05881, std=2.993, absmax=13.48 +2025-10-31 16:44:21,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=9.631, mean=-0.05543, std=2.534, absmax=9.898 +2025-10-31 16:44:21,649 ERROR: Encountered non-finite generator loss at iter 3849; skipping update. +2025-10-31 16:44:21,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:21,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:21,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:21,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:21,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=17.18, mean=-0.2132, std=2.941, absmax=17.18 +2025-10-31 16:44:21,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.075, mean=-0.1728, std=2.444, absmax=10.15 +2025-10-31 16:44:22,152 ERROR: Encountered non-finite generator loss at iter 3850; skipping update. +2025-10-31 16:44:22,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,155 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,156 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:22,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:22,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.45, mean=0.1419, std=3.318, absmax=14.45 +2025-10-31 16:44:22,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=12.89, mean=0.102, std=2.76, absmax=12.89 +2025-10-31 16:44:22,655 ERROR: Encountered non-finite generator loss at iter 3851; skipping update. +2025-10-31 16:44:22,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:22,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:22,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:22,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:22,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.81, mean=-0.1881, std=3.203, absmax=13.81 +2025-10-31 16:44:22,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=11.12, mean=-0.1944, std=2.719, absmax=11.4 +2025-10-31 16:44:23,156 ERROR: Encountered non-finite generator loss at iter 3852; skipping update. +2025-10-31 16:44:23,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:23,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:23,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.04, mean=-0.1559, std=2.719, absmax=14.08 +2025-10-31 16:44:23,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.932, max=9.363, mean=-0.1292, std=2.349, absmax=9.363 +2025-10-31 16:44:23,661 ERROR: Encountered non-finite generator loss at iter 3853; skipping update. +2025-10-31 16:44:23,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:23,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:23,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:23,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:23,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.24, mean=-0.002089, std=3.372, absmax=13.24 +2025-10-31 16:44:23,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=12.82, mean=0.002901, std=3.214, absmax=12.82 +2025-10-31 16:44:24,162 ERROR: Encountered non-finite generator loss at iter 3854; skipping update. +2025-10-31 16:44:24,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:24,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:24,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=14.46, mean=-0.04857, std=3.489, absmax=14.68 +2025-10-31 16:44:24,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=12.93, mean=-0.04658, std=2.972, absmax=12.93 +2025-10-31 16:44:24,664 ERROR: Encountered non-finite generator loss at iter 3855; skipping update. +2025-10-31 16:44:24,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:24,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:24,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:24,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:24,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=12.06, mean=-0.1113, std=3.098, absmax=13.99 +2025-10-31 16:44:24,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.693, mean=-0.1272, std=2.45, absmax=10.04 +2025-10-31 16:44:25,167 ERROR: Encountered non-finite generator loss at iter 3856; skipping update. +2025-10-31 16:44:25,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:25,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:25,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=10.88, mean=-0.3076, std=3.065, absmax=15.49 +2025-10-31 16:44:25,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.74, max=10.25, mean=-0.314, std=2.845, absmax=12.74 +2025-10-31 16:44:25,670 ERROR: Encountered non-finite generator loss at iter 3857; skipping update. +2025-10-31 16:44:25,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:25,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:25,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:25,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:25,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=10.28, mean=-0.3713, std=3.085, absmax=15.18 +2025-10-31 16:44:25,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=8.378, mean=-0.3409, std=2.527, absmax=10.25 +2025-10-31 16:44:26,173 ERROR: Encountered non-finite generator loss at iter 3858; skipping update. +2025-10-31 16:44:26,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:26,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:26,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=9.797, mean=-0.3642, std=2.636, absmax=12.78 +2025-10-31 16:44:26,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.589, max=6.683, mean=-0.2962, std=2.29, absmax=9.589 +2025-10-31 16:44:26,675 ERROR: Encountered non-finite generator loss at iter 3859; skipping update. +2025-10-31 16:44:26,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:26,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:26,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:26,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:26,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.99, mean=-0.1053, std=3.086, absmax=14.03 +2025-10-31 16:44:26,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=11.07, mean=-0.1025, std=2.686, absmax=11.07 +2025-10-31 16:44:27,176 ERROR: Encountered non-finite generator loss at iter 3860; skipping update. +2025-10-31 16:44:27,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:27,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:27,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.61, mean=-0.1756, std=2.479, absmax=12.61 +2025-10-31 16:44:27,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=9.462, mean=-0.185, std=2.097, absmax=9.827 +2025-10-31 16:44:27,676 ERROR: Encountered non-finite generator loss at iter 3861; skipping update. +2025-10-31 16:44:27,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:27,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:27,682 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:27,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:27,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.46, mean=-0.1079, std=2.721, absmax=11.83 +2025-10-31 16:44:27,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=7.733, mean=-0.1563, std=2.259, absmax=10.75 +2025-10-31 16:44:28,178 ERROR: Encountered non-finite generator loss at iter 3862; skipping update. +2025-10-31 16:44:28,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:28,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:28,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=14.31, mean=-0.204, std=2.975, absmax=14.31 +2025-10-31 16:44:28,187 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.276, max=11.07, mean=-0.2051, std=2.479, absmax=11.07 +2025-10-31 16:44:28,678 ERROR: Encountered non-finite generator loss at iter 3863; skipping update. +2025-10-31 16:44:28,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:28,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:28,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:28,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:28,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.49, mean=-0.2756, std=2.768, absmax=13.49 +2025-10-31 16:44:28,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.866, max=10.76, mean=-0.2153, std=2.371, absmax=10.76 +2025-10-31 16:44:29,181 ERROR: Encountered non-finite generator loss at iter 3864; skipping update. +2025-10-31 16:44:29,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:29,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:29,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.89, mean=0.019, std=3.072, absmax=12.89 +2025-10-31 16:44:29,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.49, mean=0.01205, std=2.546, absmax=10.49 +2025-10-31 16:44:29,684 ERROR: Encountered non-finite generator loss at iter 3865; skipping update. +2025-10-31 16:44:29,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:29,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:29,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:29,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:29,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=15.49, mean=-0.3043, std=3.715, absmax=15.49 +2025-10-31 16:44:29,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=12.74, mean=-0.3157, std=3.117, absmax=12.74 +2025-10-31 16:44:30,185 ERROR: Encountered non-finite generator loss at iter 3866; skipping update. +2025-10-31 16:44:30,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:30,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:30,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.81, mean=-0.2307, std=3.273, absmax=13.81 +2025-10-31 16:44:30,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.62, mean=-0.2247, std=2.736, absmax=11.03 +2025-10-31 16:44:30,687 ERROR: Encountered non-finite generator loss at iter 3867; skipping update. +2025-10-31 16:44:30,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:30,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:30,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:30,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:30,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.67, mean=-0.2285, std=3.183, absmax=15.67 +2025-10-31 16:44:30,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=13.83, mean=-0.2274, std=2.651, absmax=13.83 +2025-10-31 16:44:31,188 ERROR: Encountered non-finite generator loss at iter 3868; skipping update. +2025-10-31 16:44:31,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:31,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:31,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.08, mean=-0.03723, std=3.279, absmax=14.08 +2025-10-31 16:44:31,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=11.15, mean=-0.02347, std=2.692, absmax=11.52 +2025-10-31 16:44:31,691 ERROR: Encountered non-finite generator loss at iter 3869; skipping update. +2025-10-31 16:44:31,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:31,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:31,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:31,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:31,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.99, mean=-0.1337, std=3.05, absmax=12.99 +2025-10-31 16:44:31,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.21, mean=-0.1657, std=2.428, absmax=10.23 +2025-10-31 16:44:32,190 ERROR: Encountered non-finite generator loss at iter 3870; skipping update. +2025-10-31 16:44:32,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:32,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:32,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.65, mean=0.177, std=3.311, absmax=12.65 +2025-10-31 16:44:32,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.544, max=10.78, mean=0.1021, std=2.698, absmax=10.78 +2025-10-31 16:44:32,691 ERROR: Encountered non-finite generator loss at iter 3871; skipping update. +2025-10-31 16:44:32,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:32,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:32,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:32,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:32,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.25, mean=-0.0822, std=2.995, absmax=13.25 +2025-10-31 16:44:32,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.904, max=11.48, mean=-0.08906, std=2.451, absmax=11.48 +2025-10-31 16:44:33,193 ERROR: Encountered non-finite generator loss at iter 3872; skipping update. +2025-10-31 16:44:33,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:33,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:33,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.33, mean=-0.246, std=2.839, absmax=13.33 +2025-10-31 16:44:33,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.484, max=9.674, mean=-0.2394, std=2.286, absmax=9.674 +2025-10-31 16:44:33,696 ERROR: Encountered non-finite generator loss at iter 3873; skipping update. +2025-10-31 16:44:33,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:33,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:33,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:33,704 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:33,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.31, max=14.48, mean=0.2654, std=3.763, absmax=17.31 +2025-10-31 16:44:33,706 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.59, max=12.47, mean=0.1721, std=3.17, absmax=14.59 +2025-10-31 16:44:34,197 ERROR: Encountered non-finite generator loss at iter 3874; skipping update. +2025-10-31 16:44:34,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:34,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:34,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.26, mean=0.04969, std=3.296, absmax=15.26 +2025-10-31 16:44:34,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=12.14, mean=0.04645, std=2.764, absmax=12.51 +2025-10-31 16:44:34,700 ERROR: Encountered non-finite generator loss at iter 3875; skipping update. +2025-10-31 16:44:34,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:34,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:34,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:34,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:34,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.82, mean=-0.1545, std=2.78, absmax=13.82 +2025-10-31 16:44:34,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.208, max=9.284, mean=-0.1585, std=2.473, absmax=9.284 +2025-10-31 16:44:35,202 ERROR: Encountered non-finite generator loss at iter 3876; skipping update. +2025-10-31 16:44:35,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:35,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:35,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.55, mean=-0.02228, std=3.19, absmax=14.99 +2025-10-31 16:44:35,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.21, mean=-0.02802, std=2.59, absmax=11.21 +2025-10-31 16:44:35,704 ERROR: Encountered non-finite generator loss at iter 3877; skipping update. +2025-10-31 16:44:35,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:35,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:35,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:35,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:35,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=15.2, mean=0.004083, std=3.195, absmax=15.2 +2025-10-31 16:44:35,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=12.9, mean=-0.04866, std=2.686, absmax=12.9 +2025-10-31 16:44:36,205 ERROR: Encountered non-finite generator loss at iter 3878; skipping update. +2025-10-31 16:44:36,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,209 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:36,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:36,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.52, mean=-0.2078, std=2.701, absmax=13.52 +2025-10-31 16:44:36,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.09, mean=-0.1932, std=2.266, absmax=10.2 +2025-10-31 16:44:36,709 ERROR: Encountered non-finite generator loss at iter 3879; skipping update. +2025-10-31 16:44:36,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:36,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:36,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:36,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:36,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.8, mean=-0.03048, std=3.602, absmax=13.8 +2025-10-31 16:44:36,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.12, mean=-0.01054, std=2.919, absmax=11.12 +2025-10-31 16:44:37,210 ERROR: Encountered non-finite generator loss at iter 3880; skipping update. +2025-10-31 16:44:37,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:37,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:37,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=9.579, mean=-0.2749, std=2.534, absmax=11.17 +2025-10-31 16:44:37,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.975, max=7.554, mean=-0.2807, std=2.153, absmax=8.975 +2025-10-31 16:44:37,712 ERROR: Encountered non-finite generator loss at iter 3881; skipping update. +2025-10-31 16:44:37,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:37,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:37,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:37,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:37,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.34, mean=-0.1024, std=3.626, absmax=13.68 +2025-10-31 16:44:37,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=10.81, mean=-0.1449, std=2.937, absmax=11.9 +2025-10-31 16:44:38,215 ERROR: Encountered non-finite generator loss at iter 3882; skipping update. +2025-10-31 16:44:38,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:38,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:38,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.83, mean=0.1071, std=3.116, absmax=14.83 +2025-10-31 16:44:38,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.92, mean=0.09806, std=2.571, absmax=10.92 +2025-10-31 16:44:38,719 ERROR: Encountered non-finite generator loss at iter 3883; skipping update. +2025-10-31 16:44:38,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:38,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:38,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:38,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:38,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.46, mean=-0.3147, std=2.614, absmax=12.46 +2025-10-31 16:44:38,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.702, max=8.479, mean=-0.2792, std=2.206, absmax=9.702 +2025-10-31 16:44:39,220 ERROR: Encountered non-finite generator loss at iter 3884; skipping update. +2025-10-31 16:44:39,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:39,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:39,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.11, mean=-0.2525, std=2.854, absmax=12.67 +2025-10-31 16:44:39,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=7.33, mean=-0.2514, std=2.366, absmax=10.25 +2025-10-31 16:44:39,723 ERROR: Encountered non-finite generator loss at iter 3885; skipping update. +2025-10-31 16:44:39,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:39,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:39,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:39,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:39,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.15, mean=-0.1033, std=2.874, absmax=14.15 +2025-10-31 16:44:39,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.79, max=10.26, mean=-0.1647, std=2.316, absmax=10.26 +2025-10-31 16:44:40,228 ERROR: Encountered non-finite generator loss at iter 3886; skipping update. +2025-10-31 16:44:40,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:40,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:40,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=10.43, mean=-0.2286, std=2.699, absmax=12.37 +2025-10-31 16:44:40,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=8.551, mean=-0.281, std=2.39, absmax=10.5 +2025-10-31 16:44:40,735 ERROR: Encountered non-finite generator loss at iter 3887; skipping update. +2025-10-31 16:44:40,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,738 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:40,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:40,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:40,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:40,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.71, mean=-0.1763, std=3.244, absmax=13.9 +2025-10-31 16:44:40,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.7, mean=-0.1588, std=2.754, absmax=10.56 +2025-10-31 16:44:41,239 ERROR: Encountered non-finite generator loss at iter 3888; skipping update. +2025-10-31 16:44:41,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,246 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:41,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:41,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=10.71, mean=-0.3158, std=3.145, absmax=14.31 +2025-10-31 16:44:41,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=9.064, mean=-0.2917, std=2.752, absmax=12.2 +2025-10-31 16:44:41,741 ERROR: Encountered non-finite generator loss at iter 3889; skipping update. +2025-10-31 16:44:41,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:41,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:41,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:41,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:41,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.48, mean=-0.0392, std=2.928, absmax=13.48 +2025-10-31 16:44:41,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.303, max=10.18, mean=-0.1019, std=2.465, absmax=10.18 +2025-10-31 16:44:42,243 ERROR: Encountered non-finite generator loss at iter 3890; skipping update. +2025-10-31 16:44:42,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:42,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:42,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.23, mean=-0.07554, std=3.282, absmax=14.23 +2025-10-31 16:44:42,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.741, max=11.65, mean=-0.09858, std=2.641, absmax=11.65 +2025-10-31 16:44:42,745 ERROR: Encountered non-finite generator loss at iter 3891; skipping update. +2025-10-31 16:44:42,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:42,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:42,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:42,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:42,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=14.81, mean=-0.119, std=2.728, absmax=14.81 +2025-10-31 16:44:42,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.934, max=9.803, mean=-0.1808, std=2.294, absmax=9.803 +2025-10-31 16:44:43,246 ERROR: Encountered non-finite generator loss at iter 3892; skipping update. +2025-10-31 16:44:43,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:43,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:43,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=11.38, mean=0.01695, std=2.675, absmax=11.38 +2025-10-31 16:44:43,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.471, max=8.671, mean=-0.04153, std=2.245, absmax=9.471 +2025-10-31 16:44:43,747 ERROR: Encountered non-finite generator loss at iter 3893; skipping update. +2025-10-31 16:44:43,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:43,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:43,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:43,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:43,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.08, mean=-0.1635, std=2.707, absmax=12.08 +2025-10-31 16:44:43,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.786, max=11.8, mean=-0.1464, std=2.419, absmax=11.8 +2025-10-31 16:44:44,248 ERROR: Encountered non-finite generator loss at iter 3894; skipping update. +2025-10-31 16:44:44,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:44,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:44,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=10.3, mean=-0.1316, std=2.66, absmax=13.93 +2025-10-31 16:44:44,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=8.64, mean=-0.1645, std=2.277, absmax=12.66 +2025-10-31 16:44:44,748 ERROR: Encountered non-finite generator loss at iter 3895; skipping update. +2025-10-31 16:44:44,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:44,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:44,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:44,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:44,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=10.79, mean=-0.08326, std=2.426, absmax=10.79 +2025-10-31 16:44:44,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.646, max=8.868, mean=-0.1274, std=2.108, absmax=8.868 +2025-10-31 16:44:45,248 ERROR: Encountered non-finite generator loss at iter 3896; skipping update. +2025-10-31 16:44:45,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:45,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:45,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.27, mean=-0.2964, std=2.751, absmax=15.27 +2025-10-31 16:44:45,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.955, mean=-0.2575, std=2.455, absmax=10.81 +2025-10-31 16:44:45,749 ERROR: Encountered non-finite generator loss at iter 3897; skipping update. +2025-10-31 16:44:45,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:45,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:45,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:45,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:45,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=10.3, mean=-0.1068, std=2.603, absmax=10.92 +2025-10-31 16:44:45,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.59, max=8.933, mean=-0.1134, std=2.254, absmax=8.933 +2025-10-31 16:44:46,250 ERROR: Encountered non-finite generator loss at iter 3898; skipping update. +2025-10-31 16:44:46,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:46,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:46,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.02, mean=-0.1595, std=3.018, absmax=12.13 +2025-10-31 16:44:46,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.049, mean=-0.1804, std=2.609, absmax=10.32 +2025-10-31 16:44:46,751 ERROR: Encountered non-finite generator loss at iter 3899; skipping update. +2025-10-31 16:44:46,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:46,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:46,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:46,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:46,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.4, mean=-0.04779, std=3.035, absmax=13.4 +2025-10-31 16:44:46,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=9.053, mean=-0.05187, std=2.686, absmax=12.35 +2025-10-31 16:44:47,251 ERROR: Encountered non-finite generator loss at iter 3900; skipping update. +2025-10-31 16:44:47,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,255 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,256 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:47,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:47,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=16.74, mean=-0.2035, std=2.83, absmax=16.74 +2025-10-31 16:44:47,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.701, mean=-0.1997, std=2.399, absmax=10.22 +2025-10-31 16:44:47,263 INFO: [29..][epoch: 0, step: 3,900, lr:(1.500e-04,)] [eta: 1 day, 18:52:20, time (data): 0.502 (0.000)] +2025-10-31 16:44:47,755 ERROR: Encountered non-finite generator loss at iter 3901; skipping update. +2025-10-31 16:44:47,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:47,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:47,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:47,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:47,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.93, mean=-0.1013, std=2.947, absmax=14.13 +2025-10-31 16:44:47,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.455, max=10.1, mean=-0.1248, std=2.198, absmax=10.1 +2025-10-31 16:44:48,255 ERROR: Encountered non-finite generator loss at iter 3902; skipping update. +2025-10-31 16:44:48,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:48,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:48,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=10.96, mean=-0.2114, std=2.391, absmax=13.25 +2025-10-31 16:44:48,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.368, max=7.565, mean=-0.2174, std=2.004, absmax=9.368 +2025-10-31 16:44:48,758 ERROR: Encountered non-finite generator loss at iter 3903; skipping update. +2025-10-31 16:44:48,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:48,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:48,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:48,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:48,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.37, mean=-0.1283, std=2.657, absmax=12.48 +2025-10-31 16:44:48,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.826, max=10.55, mean=-0.1731, std=2.284, absmax=10.55 +2025-10-31 16:44:49,258 ERROR: Encountered non-finite generator loss at iter 3904; skipping update. +2025-10-31 16:44:49,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:49,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:49,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=12.94, mean=-0.01011, std=3.599, absmax=14.97 +2025-10-31 16:44:49,268 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=11.98, mean=-0.0767, std=3.127, absmax=11.98 +2025-10-31 16:44:49,760 ERROR: Encountered non-finite generator loss at iter 3905; skipping update. +2025-10-31 16:44:49,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:49,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:49,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:49,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:49,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.2, mean=-0.1078, std=2.824, absmax=12.34 +2025-10-31 16:44:49,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=9.008, mean=-0.1187, std=2.31, absmax=9.165 +2025-10-31 16:44:50,263 ERROR: Encountered non-finite generator loss at iter 3906; skipping update. +2025-10-31 16:44:50,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:50,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:50,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=17.14, mean=-0.0414, std=3.149, absmax=17.14 +2025-10-31 16:44:50,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=11.6, mean=-0.05191, std=2.713, absmax=11.6 +2025-10-31 16:44:50,763 ERROR: Encountered non-finite generator loss at iter 3907; skipping update. +2025-10-31 16:44:50,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:50,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:50,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:50,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:50,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.91, mean=-0.05424, std=3.215, absmax=14.91 +2025-10-31 16:44:50,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=11, mean=-0.09009, std=2.58, absmax=11 +2025-10-31 16:44:51,266 ERROR: Encountered non-finite generator loss at iter 3908; skipping update. +2025-10-31 16:44:51,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:51,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:51,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.3, mean=-0.1916, std=3.089, absmax=13.78 +2025-10-31 16:44:51,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.949, mean=-0.1885, std=2.574, absmax=10.73 +2025-10-31 16:44:51,767 ERROR: Encountered non-finite generator loss at iter 3909; skipping update. +2025-10-31 16:44:51,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:51,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:51,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:51,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:51,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.48, mean=-0.3463, std=2.899, absmax=13 +2025-10-31 16:44:51,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.56, mean=-0.3312, std=2.516, absmax=10.66 +2025-10-31 16:44:52,268 ERROR: Encountered non-finite generator loss at iter 3910; skipping update. +2025-10-31 16:44:52,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:52,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:52,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.36, mean=-0.1464, std=3.01, absmax=13.66 +2025-10-31 16:44:52,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.53, mean=-0.1493, std=2.57, absmax=10.53 +2025-10-31 16:44:52,769 ERROR: Encountered non-finite generator loss at iter 3911; skipping update. +2025-10-31 16:44:52,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:52,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:52,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:52,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:52,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.78, mean=0.03735, std=3.065, absmax=13.78 +2025-10-31 16:44:52,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.852, max=11.62, mean=-0.003876, std=2.63, absmax=11.62 +2025-10-31 16:44:53,271 ERROR: Encountered non-finite generator loss at iter 3912; skipping update. +2025-10-31 16:44:53,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:53,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:53,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.85, mean=-0.2946, std=3.047, absmax=14.85 +2025-10-31 16:44:53,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.592, max=11.65, mean=-0.2847, std=2.459, absmax=11.65 +2025-10-31 16:44:53,774 ERROR: Encountered non-finite generator loss at iter 3913; skipping update. +2025-10-31 16:44:53,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:53,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:53,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:53,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:53,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.24, max=14.18, mean=-0.1127, std=2.938, absmax=18.24 +2025-10-31 16:44:53,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.073, max=10.05, mean=-0.06381, std=2.53, absmax=10.05 +2025-10-31 16:44:54,277 ERROR: Encountered non-finite generator loss at iter 3914; skipping update. +2025-10-31 16:44:54,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:54,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:54,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.01, mean=-0.4045, std=2.904, absmax=14.29 +2025-10-31 16:44:54,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.04, mean=-0.3789, std=2.641, absmax=10.71 +2025-10-31 16:44:54,778 ERROR: Encountered non-finite generator loss at iter 3915; skipping update. +2025-10-31 16:44:54,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:54,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:54,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:54,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:54,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=18.56, mean=-0.2171, std=2.918, absmax=18.56 +2025-10-31 16:44:54,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=12.34, mean=-0.2474, std=2.564, absmax=12.34 +2025-10-31 16:44:55,281 ERROR: Encountered non-finite generator loss at iter 3916; skipping update. +2025-10-31 16:44:55,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:55,287 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:55,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.04, mean=-0.2105, std=2.625, absmax=14.04 +2025-10-31 16:44:55,289 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.65, max=9.515, mean=-0.2228, std=2.134, absmax=12.65 +2025-10-31 16:44:55,781 ERROR: Encountered non-finite generator loss at iter 3917; skipping update. +2025-10-31 16:44:55,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,786 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:55,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:55,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:55,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:55,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.18, mean=-0.1541, std=2.961, absmax=12.18 +2025-10-31 16:44:55,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.13, mean=-0.09825, std=2.628, absmax=11.13 +2025-10-31 16:44:56,283 ERROR: Encountered non-finite generator loss at iter 3918; skipping update. +2025-10-31 16:44:56,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:56,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:56,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.8, mean=-0.1577, std=3.188, absmax=13.08 +2025-10-31 16:44:56,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.981, max=10.18, mean=-0.1752, std=2.63, absmax=10.18 +2025-10-31 16:44:56,785 ERROR: Encountered non-finite generator loss at iter 3919; skipping update. +2025-10-31 16:44:56,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:56,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:56,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:56,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:56,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.17, mean=-0.1255, std=2.573, absmax=12.68 +2025-10-31 16:44:56,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.327, max=8.291, mean=-0.124, std=2.121, absmax=9.327 +2025-10-31 16:44:57,286 ERROR: Encountered non-finite generator loss at iter 3920; skipping update. +2025-10-31 16:44:57,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:57,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:57,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.41, mean=-0.1762, std=2.896, absmax=12.41 +2025-10-31 16:44:57,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.79, max=9.661, mean=-0.1634, std=2.399, absmax=9.79 +2025-10-31 16:44:57,787 ERROR: Encountered non-finite generator loss at iter 3921; skipping update. +2025-10-31 16:44:57,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:57,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:57,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:57,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:57,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=15.13, mean=-0.2415, std=2.787, absmax=15.13 +2025-10-31 16:44:57,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.997, max=9.509, mean=-0.2354, std=2.201, absmax=9.509 +2025-10-31 16:44:58,287 ERROR: Encountered non-finite generator loss at iter 3922; skipping update. +2025-10-31 16:44:58,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:58,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:58,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.86, mean=0.05246, std=3.414, absmax=13.86 +2025-10-31 16:44:58,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=12.05, mean=-0.02509, std=2.711, absmax=12.21 +2025-10-31 16:44:58,787 ERROR: Encountered non-finite generator loss at iter 3923; skipping update. +2025-10-31 16:44:58,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:58,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:58,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:58,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:58,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.14, mean=-0.2062, std=2.898, absmax=13.08 +2025-10-31 16:44:58,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.197, mean=-0.2476, std=2.58, absmax=10.81 +2025-10-31 16:44:59,286 ERROR: Encountered non-finite generator loss at iter 3924; skipping update. +2025-10-31 16:44:59,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:59,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:59,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=13.56, mean=0.04474, std=2.924, absmax=13.71 +2025-10-31 16:44:59,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.608, max=10.41, mean=0.03414, std=2.435, absmax=10.41 +2025-10-31 16:44:59,786 ERROR: Encountered non-finite generator loss at iter 3925; skipping update. +2025-10-31 16:44:59,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:44:59,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:44:59,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:44:59,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:44:59,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.27, mean=-0.1485, std=3.117, absmax=13.27 +2025-10-31 16:44:59,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.595, mean=-0.1294, std=2.567, absmax=10.1 +2025-10-31 16:45:00,286 ERROR: Encountered non-finite generator loss at iter 3926; skipping update. +2025-10-31 16:45:00,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:00,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:00,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=12.28, mean=-0.346, std=3.474, absmax=14.58 +2025-10-31 16:45:00,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=8.562, mean=-0.334, std=2.919, absmax=12.19 +2025-10-31 16:45:00,786 ERROR: Encountered non-finite generator loss at iter 3927; skipping update. +2025-10-31 16:45:00,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:00,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:00,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:00,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:00,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.94, mean=-0.01811, std=2.565, absmax=12.94 +2025-10-31 16:45:00,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.164, max=11.49, mean=-0.1061, std=2.22, absmax=11.49 +2025-10-31 16:45:01,286 ERROR: Encountered non-finite generator loss at iter 3928; skipping update. +2025-10-31 16:45:01,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:01,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:01,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=17.32, mean=-0.229, std=3.11, absmax=17.32 +2025-10-31 16:45:01,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.195, max=14.08, mean=-0.1986, std=2.656, absmax=14.08 +2025-10-31 16:45:01,787 ERROR: Encountered non-finite generator loss at iter 3929; skipping update. +2025-10-31 16:45:01,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:01,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:01,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:01,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:01,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.43, mean=-0.1599, std=3.166, absmax=13.75 +2025-10-31 16:45:01,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=9.559, mean=-0.2038, std=2.625, absmax=11.88 +2025-10-31 16:45:02,286 ERROR: Encountered non-finite generator loss at iter 3930; skipping update. +2025-10-31 16:45:02,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:02,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:02,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.82, mean=-0.1665, std=2.889, absmax=14.82 +2025-10-31 16:45:02,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.557, max=10.13, mean=-0.1388, std=2.294, absmax=10.13 +2025-10-31 16:45:02,786 ERROR: Encountered non-finite generator loss at iter 3931; skipping update. +2025-10-31 16:45:02,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:02,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:02,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:02,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:02,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=16.14, mean=0.1076, std=3.664, absmax=16.14 +2025-10-31 16:45:02,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=12.31, mean=0.0642, std=2.961, absmax=12.31 +2025-10-31 16:45:03,286 ERROR: Encountered non-finite generator loss at iter 3932; skipping update. +2025-10-31 16:45:03,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:03,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:03,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.69, mean=-0.2721, std=2.61, absmax=12.61 +2025-10-31 16:45:03,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.463, mean=-0.2653, std=2.254, absmax=10.14 +2025-10-31 16:45:03,787 ERROR: Encountered non-finite generator loss at iter 3933; skipping update. +2025-10-31 16:45:03,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:03,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:03,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:03,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:03,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.63, mean=-0.1664, std=2.671, absmax=13.63 +2025-10-31 16:45:03,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=7.886, mean=-0.1994, std=2.174, absmax=10.96 +2025-10-31 16:45:04,287 ERROR: Encountered non-finite generator loss at iter 3934; skipping update. +2025-10-31 16:45:04,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,290 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,294 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:04,295 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:04,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=10.92, mean=-0.1535, std=2.645, absmax=10.92 +2025-10-31 16:45:04,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.426, max=8.909, mean=-0.1427, std=2.293, absmax=9.426 +2025-10-31 16:45:04,789 ERROR: Encountered non-finite generator loss at iter 3935; skipping update. +2025-10-31 16:45:04,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:04,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:04,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:04,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:04,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.94, mean=-0.0155, std=3.268, absmax=13.94 +2025-10-31 16:45:04,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.801, mean=-0.0558, std=2.746, absmax=10.45 +2025-10-31 16:45:05,290 ERROR: Encountered non-finite generator loss at iter 3936; skipping update. +2025-10-31 16:45:05,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:05,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:05,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=13.97, mean=-0.1237, std=2.916, absmax=13.97 +2025-10-31 16:45:05,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.06, mean=-0.1305, std=2.409, absmax=11.06 +2025-10-31 16:45:05,792 ERROR: Encountered non-finite generator loss at iter 3937; skipping update. +2025-10-31 16:45:05,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:05,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:05,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:05,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:05,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.76, mean=-0.01241, std=3.707, absmax=14.76 +2025-10-31 16:45:05,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=14.5, mean=0.02697, std=3.266, absmax=14.5 +2025-10-31 16:45:06,293 ERROR: Encountered non-finite generator loss at iter 3938; skipping update. +2025-10-31 16:45:06,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:06,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:06,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.27, mean=-0.1283, std=3.115, absmax=14.27 +2025-10-31 16:45:06,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=10.73, mean=-0.1732, std=2.686, absmax=11.85 +2025-10-31 16:45:06,795 ERROR: Encountered non-finite generator loss at iter 3939; skipping update. +2025-10-31 16:45:06,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:06,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:06,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:06,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:06,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.01, mean=-0.2757, std=3.115, absmax=14.01 +2025-10-31 16:45:06,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.854, max=8.768, mean=-0.2849, std=2.509, absmax=9.854 +2025-10-31 16:45:07,295 ERROR: Encountered non-finite generator loss at iter 3940; skipping update. +2025-10-31 16:45:07,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,298 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:07,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:07,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.29, max=15.22, mean=-0.05047, std=3.924, absmax=17.29 +2025-10-31 16:45:07,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=11.61, mean=-0.07061, std=3.223, absmax=13.39 +2025-10-31 16:45:07,796 ERROR: Encountered non-finite generator loss at iter 3941; skipping update. +2025-10-31 16:45:07,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:07,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:07,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:07,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:07,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.31, mean=-0.3022, std=3.093, absmax=13.28 +2025-10-31 16:45:07,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.86, mean=-0.3046, std=2.595, absmax=11.19 +2025-10-31 16:45:08,297 ERROR: Encountered non-finite generator loss at iter 3942; skipping update. +2025-10-31 16:45:08,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,299 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,300 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,301 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,302 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,303 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:08,304 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:08,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.86, mean=0.05143, std=3.666, absmax=14.86 +2025-10-31 16:45:08,306 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.05, mean=0.01368, std=2.942, absmax=11.05 +2025-10-31 16:45:08,798 ERROR: Encountered non-finite generator loss at iter 3943; skipping update. +2025-10-31 16:45:08,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:08,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:08,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:08,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:08,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.42, max=12.78, mean=-0.1622, std=2.95, absmax=16.42 +2025-10-31 16:45:08,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.9, mean=-0.1776, std=2.389, absmax=10.91 +2025-10-31 16:45:09,298 ERROR: Encountered non-finite generator loss at iter 3944; skipping update. +2025-10-31 16:45:09,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:09,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:09,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=9.887, mean=-0.1977, std=2.466, absmax=12.46 +2025-10-31 16:45:09,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.944, max=8.088, mean=-0.2209, std=1.988, absmax=8.944 +2025-10-31 16:45:09,800 ERROR: Encountered non-finite generator loss at iter 3945; skipping update. +2025-10-31 16:45:09,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:09,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:09,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:09,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:09,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.31, mean=0.03488, std=3.136, absmax=12.31 +2025-10-31 16:45:09,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.784, max=10.41, mean=0.007929, std=2.578, absmax=10.41 +2025-10-31 16:45:10,299 ERROR: Encountered non-finite generator loss at iter 3946; skipping update. +2025-10-31 16:45:10,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:10,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:10,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.42, mean=-0.1281, std=2.725, absmax=14.42 +2025-10-31 16:45:10,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.49, mean=-0.1524, std=2.399, absmax=10.61 +2025-10-31 16:45:10,799 ERROR: Encountered non-finite generator loss at iter 3947; skipping update. +2025-10-31 16:45:10,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:10,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:10,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:10,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:10,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.09, mean=-0.32, std=3.108, absmax=13.58 +2025-10-31 16:45:10,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.798, max=8.541, mean=-0.2926, std=2.614, absmax=9.798 +2025-10-31 16:45:11,300 ERROR: Encountered non-finite generator loss at iter 3948; skipping update. +2025-10-31 16:45:11,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:11,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:11,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.64, mean=-0.06859, std=3.119, absmax=13.64 +2025-10-31 16:45:11,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=11.09, mean=-0.1151, std=2.461, absmax=11.09 +2025-10-31 16:45:11,800 ERROR: Encountered non-finite generator loss at iter 3949; skipping update. +2025-10-31 16:45:11,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:11,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:11,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:11,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:11,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.36, max=14.17, mean=-0.00168, std=3.384, absmax=16.36 +2025-10-31 16:45:11,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=12.81, mean=0.002463, std=2.937, absmax=12.81 +2025-10-31 16:45:12,301 ERROR: Encountered non-finite generator loss at iter 3950; skipping update. +2025-10-31 16:45:12,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:12,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:12,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.78, mean=-0.03225, std=3.008, absmax=13.01 +2025-10-31 16:45:12,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.785, mean=-0.08928, std=2.317, absmax=10.14 +2025-10-31 16:45:12,802 ERROR: Encountered non-finite generator loss at iter 3951; skipping update. +2025-10-31 16:45:12,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:12,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:12,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:12,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:12,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=9.784, mean=-0.279, std=2.481, absmax=11.88 +2025-10-31 16:45:12,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=7.363, mean=-0.3049, std=2.125, absmax=9.837 +2025-10-31 16:45:13,326 ERROR: Encountered non-finite generator loss at iter 3952; skipping update. +2025-10-31 16:45:13,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,329 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:13,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:13,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.2, mean=-0.03568, std=2.862, absmax=13.22 +2025-10-31 16:45:13,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.684, max=8.718, mean=-0.0545, std=2.189, absmax=8.718 +2025-10-31 16:45:13,828 ERROR: Encountered non-finite generator loss at iter 3953; skipping update. +2025-10-31 16:45:13,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:13,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:13,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:13,836 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:13,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.99, mean=-0.2391, std=3.207, absmax=12.05 +2025-10-31 16:45:13,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.686, max=10.43, mean=-0.1791, std=2.553, absmax=10.43 +2025-10-31 16:45:14,330 ERROR: Encountered non-finite generator loss at iter 3954; skipping update. +2025-10-31 16:45:14,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:14,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:14,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.04, mean=-0.2197, std=3.02, absmax=13.04 +2025-10-31 16:45:14,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=8.399, mean=-0.1596, std=2.605, absmax=10.98 +2025-10-31 16:45:14,831 ERROR: Encountered non-finite generator loss at iter 3955; skipping update. +2025-10-31 16:45:14,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:14,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:14,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:14,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:14,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=12.2, mean=-0.1899, std=3.326, absmax=14.9 +2025-10-31 16:45:14,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=9.938, mean=-0.1876, std=2.738, absmax=11.18 +2025-10-31 16:45:15,334 ERROR: Encountered non-finite generator loss at iter 3956; skipping update. +2025-10-31 16:45:15,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,337 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:15,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:15,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.24, mean=-0.1757, std=3.673, absmax=14.24 +2025-10-31 16:45:15,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.38, mean=-0.1834, std=2.987, absmax=10.44 +2025-10-31 16:45:15,834 ERROR: Encountered non-finite generator loss at iter 3957; skipping update. +2025-10-31 16:45:15,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:15,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:15,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:15,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:15,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.94, mean=-0.288, std=3.06, absmax=12.94 +2025-10-31 16:45:15,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.653, mean=-0.2479, std=2.641, absmax=11.03 +2025-10-31 16:45:16,335 ERROR: Encountered non-finite generator loss at iter 3958; skipping update. +2025-10-31 16:45:16,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:16,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:16,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.32, mean=0.005908, std=2.768, absmax=12.32 +2025-10-31 16:45:16,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.797, max=8.995, mean=-0.06579, std=2.221, absmax=9.797 +2025-10-31 16:45:16,836 ERROR: Encountered non-finite generator loss at iter 3959; skipping update. +2025-10-31 16:45:16,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:16,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:16,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:16,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:16,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.87, mean=0.1425, std=3.248, absmax=13.87 +2025-10-31 16:45:16,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=13.63, mean=0.1165, std=2.946, absmax=13.63 +2025-10-31 16:45:17,337 ERROR: Encountered non-finite generator loss at iter 3960; skipping update. +2025-10-31 16:45:17,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:17,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:17,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=16.31, mean=-0.1152, std=3.365, absmax=16.31 +2025-10-31 16:45:17,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.883, max=11.73, mean=-0.1129, std=2.673, absmax=11.73 +2025-10-31 16:45:17,838 ERROR: Encountered non-finite generator loss at iter 3961; skipping update. +2025-10-31 16:45:17,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:17,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:17,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:17,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:17,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.54, mean=-0.04479, std=3.111, absmax=14.54 +2025-10-31 16:45:17,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.937, mean=-0.07224, std=2.624, absmax=10.05 +2025-10-31 16:45:18,338 ERROR: Encountered non-finite generator loss at iter 3962; skipping update. +2025-10-31 16:45:18,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:18,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:18,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=15.64, mean=-0.07619, std=3.253, absmax=15.64 +2025-10-31 16:45:18,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.77, mean=-0.1263, std=2.678, absmax=10.77 +2025-10-31 16:45:18,839 ERROR: Encountered non-finite generator loss at iter 3963; skipping update. +2025-10-31 16:45:18,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:18,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:18,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:18,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:18,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.63, mean=-0.1125, std=2.989, absmax=13.63 +2025-10-31 16:45:18,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=12.73, mean=-0.06076, std=2.638, absmax=12.73 +2025-10-31 16:45:19,339 ERROR: Encountered non-finite generator loss at iter 3964; skipping update. +2025-10-31 16:45:19,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:19,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:19,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.92, mean=-0.2058, std=2.643, absmax=13.92 +2025-10-31 16:45:19,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=7.582, mean=-0.2237, std=2.121, absmax=11.21 +2025-10-31 16:45:19,840 ERROR: Encountered non-finite generator loss at iter 3965; skipping update. +2025-10-31 16:45:19,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:19,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:19,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:19,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:19,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.42, mean=-0.1526, std=3.118, absmax=13.42 +2025-10-31 16:45:19,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.024, max=10.58, mean=-0.1854, std=2.507, absmax=10.58 +2025-10-31 16:45:20,342 ERROR: Encountered non-finite generator loss at iter 3966; skipping update. +2025-10-31 16:45:20,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,345 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:20,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:20,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.13, mean=-0.2768, std=2.694, absmax=12.46 +2025-10-31 16:45:20,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.504, max=7.369, mean=-0.2283, std=2.131, absmax=9.504 +2025-10-31 16:45:20,845 ERROR: Encountered non-finite generator loss at iter 3967; skipping update. +2025-10-31 16:45:20,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:20,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:20,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:20,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:20,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=11.11, mean=-0.3061, std=2.794, absmax=15.09 +2025-10-31 16:45:20,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.93, max=9.548, mean=-0.251, std=2.555, absmax=12.93 +2025-10-31 16:45:21,346 ERROR: Encountered non-finite generator loss at iter 3968; skipping update. +2025-10-31 16:45:21,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:21,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:21,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=10.63, mean=-0.3465, std=3.286, absmax=14.08 +2025-10-31 16:45:21,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=9.906, mean=-0.2927, std=2.771, absmax=12.07 +2025-10-31 16:45:21,847 ERROR: Encountered non-finite generator loss at iter 3969; skipping update. +2025-10-31 16:45:21,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:21,853 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:21,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:21,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:21,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.47, mean=-0.2338, std=2.652, absmax=12.47 +2025-10-31 16:45:21,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9, max=10.61, mean=-0.2255, std=2.232, absmax=10.61 +2025-10-31 16:45:22,351 ERROR: Encountered non-finite generator loss at iter 3970; skipping update. +2025-10-31 16:45:22,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:22,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:22,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.84, mean=-0.2178, std=3.266, absmax=14.84 +2025-10-31 16:45:22,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=10.21, mean=-0.2316, std=2.713, absmax=11.9 +2025-10-31 16:45:22,855 ERROR: Encountered non-finite generator loss at iter 3971; skipping update. +2025-10-31 16:45:22,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:22,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:22,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:22,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:22,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=10.59, mean=-0.151, std=3.193, absmax=14.28 +2025-10-31 16:45:22,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.7, max=9.998, mean=-0.1053, std=2.753, absmax=12.7 +2025-10-31 16:45:23,358 ERROR: Encountered non-finite generator loss at iter 3972; skipping update. +2025-10-31 16:45:23,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:23,365 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:23,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=11.85, mean=-0.1276, std=3.331, absmax=15.61 +2025-10-31 16:45:23,367 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.3, max=9.931, mean=-0.1291, std=2.905, absmax=13.3 +2025-10-31 16:45:23,861 ERROR: Encountered non-finite generator loss at iter 3973; skipping update. +2025-10-31 16:45:23,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,863 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:23,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:23,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:23,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:23,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.76, mean=-0.1855, std=3.045, absmax=12.56 +2025-10-31 16:45:23,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.55, max=10.77, mean=-0.1805, std=2.603, absmax=10.77 +2025-10-31 16:45:24,364 ERROR: Encountered non-finite generator loss at iter 3974; skipping update. +2025-10-31 16:45:24,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,368 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,369 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:24,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:24,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.44, mean=-0.1754, std=3.127, absmax=15.44 +2025-10-31 16:45:24,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=12.28, mean=-0.1692, std=2.685, absmax=12.28 +2025-10-31 16:45:24,866 ERROR: Encountered non-finite generator loss at iter 3975; skipping update. +2025-10-31 16:45:24,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:24,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:24,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:24,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:24,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16, max=13.53, mean=-0.3333, std=3.318, absmax=16 +2025-10-31 16:45:24,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=12.96, mean=-0.3093, std=3.051, absmax=12.96 +2025-10-31 16:45:25,369 ERROR: Encountered non-finite generator loss at iter 3976; skipping update. +2025-10-31 16:45:25,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:25,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:25,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.86, mean=-0.07024, std=3.808, absmax=14.59 +2025-10-31 16:45:25,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.31, max=11.16, mean=-0.07296, std=3.232, absmax=13.31 +2025-10-31 16:45:25,871 ERROR: Encountered non-finite generator loss at iter 3977; skipping update. +2025-10-31 16:45:25,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:25,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:25,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:25,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:25,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=17.75, mean=-0.09259, std=2.834, absmax=17.75 +2025-10-31 16:45:25,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.437, max=10.93, mean=-0.06583, std=2.224, absmax=10.93 +2025-10-31 16:45:26,376 ERROR: Encountered non-finite generator loss at iter 3978; skipping update. +2025-10-31 16:45:26,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:26,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:26,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.45, max=13.31, mean=-0.3857, std=3.607, absmax=15.45 +2025-10-31 16:45:26,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=8.64, mean=-0.3437, std=2.97, absmax=12.71 +2025-10-31 16:45:26,879 ERROR: Encountered non-finite generator loss at iter 3979; skipping update. +2025-10-31 16:45:26,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:26,885 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:26,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:26,887 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:26,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.74, mean=-0.3004, std=3.042, absmax=12.74 +2025-10-31 16:45:26,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.001, mean=-0.2315, std=2.577, absmax=10.19 +2025-10-31 16:45:27,383 ERROR: Encountered non-finite generator loss at iter 3980; skipping update. +2025-10-31 16:45:27,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:27,391 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:27,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.4, mean=-0.2494, std=2.472, absmax=12.4 +2025-10-31 16:45:27,393 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.451, max=8.787, mean=-0.2161, std=2.179, absmax=9.451 +2025-10-31 16:45:27,887 ERROR: Encountered non-finite generator loss at iter 3981; skipping update. +2025-10-31 16:45:27,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,890 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,890 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,891 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:27,892 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:27,893 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:27,894 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:27,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.03, mean=-0.1022, std=2.53, absmax=13.08 +2025-10-31 16:45:27,896 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=9.263, mean=-0.148, std=2.129, absmax=11.52 +2025-10-31 16:45:28,388 ERROR: Encountered non-finite generator loss at iter 3982; skipping update. +2025-10-31 16:45:28,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:28,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:28,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=12.38, mean=-0.1483, std=3.199, absmax=14.24 +2025-10-31 16:45:28,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.4, mean=-0.149, std=2.575, absmax=10.75 +2025-10-31 16:45:28,891 ERROR: Encountered non-finite generator loss at iter 3983; skipping update. +2025-10-31 16:45:28,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:28,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:28,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:28,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:28,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.82, mean=-0.2017, std=2.881, absmax=12.49 +2025-10-31 16:45:28,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.975, max=9.794, mean=-0.1844, std=2.3, absmax=9.794 +2025-10-31 16:45:29,394 ERROR: Encountered non-finite generator loss at iter 3984; skipping update. +2025-10-31 16:45:29,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,400 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:29,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:29,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=16.53, mean=-0.1057, std=3.268, absmax=16.53 +2025-10-31 16:45:29,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.28, mean=-0.08579, std=2.619, absmax=11.28 +2025-10-31 16:45:29,895 ERROR: Encountered non-finite generator loss at iter 3985; skipping update. +2025-10-31 16:45:29,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:29,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:29,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:29,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:29,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.55, mean=-0.2666, std=2.713, absmax=12.63 +2025-10-31 16:45:29,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.978, max=8.372, mean=-0.2967, std=2.277, absmax=9.978 +2025-10-31 16:45:30,397 ERROR: Encountered non-finite generator loss at iter 3986; skipping update. +2025-10-31 16:45:30,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:30,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:30,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.89, mean=-0.2066, std=2.595, absmax=13.56 +2025-10-31 16:45:30,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.648, max=10.39, mean=-0.1943, std=2.231, absmax=10.39 +2025-10-31 16:45:30,899 ERROR: Encountered non-finite generator loss at iter 3987; skipping update. +2025-10-31 16:45:30,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:30,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:30,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:30,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:30,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.36, mean=-0.1798, std=2.529, absmax=12.47 +2025-10-31 16:45:30,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.325, max=8.379, mean=-0.1822, std=2.088, absmax=8.379 +2025-10-31 16:45:31,400 ERROR: Encountered non-finite generator loss at iter 3988; skipping update. +2025-10-31 16:45:31,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:31,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:31,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=16.06, mean=0.1097, std=3.685, absmax=16.06 +2025-10-31 16:45:31,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=15.03, mean=0.1439, std=3.211, absmax=15.03 +2025-10-31 16:45:31,901 ERROR: Encountered non-finite generator loss at iter 3989; skipping update. +2025-10-31 16:45:31,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:31,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:31,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:31,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:31,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.1, mean=-0.4889, std=3.633, absmax=13.63 +2025-10-31 16:45:31,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.257, mean=-0.4452, std=3.243, absmax=12.21 +2025-10-31 16:45:32,404 ERROR: Encountered non-finite generator loss at iter 3990; skipping update. +2025-10-31 16:45:32,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:32,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:32,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.92, mean=-0.2284, std=2.999, absmax=12.74 +2025-10-31 16:45:32,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.27, mean=-0.2381, std=2.356, absmax=11.12 +2025-10-31 16:45:32,907 ERROR: Encountered non-finite generator loss at iter 3991; skipping update. +2025-10-31 16:45:32,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:32,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:32,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:32,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:32,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13, mean=-0.1864, std=2.845, absmax=13.46 +2025-10-31 16:45:32,915 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.368, mean=-0.2281, std=2.383, absmax=10.28 +2025-10-31 16:45:33,409 ERROR: Encountered non-finite generator loss at iter 3992; skipping update. +2025-10-31 16:45:33,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:33,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:33,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.88, mean=-0.1166, std=2.743, absmax=12.26 +2025-10-31 16:45:33,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.77, mean=-0.1235, std=2.324, absmax=10.44 +2025-10-31 16:45:33,912 ERROR: Encountered non-finite generator loss at iter 3993; skipping update. +2025-10-31 16:45:33,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,917 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,918 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:33,919 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:33,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:33,921 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:33,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.24, max=13.72, mean=-0.1144, std=2.653, absmax=13.72 +2025-10-31 16:45:33,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.877, max=10.4, mean=-0.1178, std=2.249, absmax=10.4 +2025-10-31 16:45:34,419 ERROR: Encountered non-finite generator loss at iter 3994; skipping update. +2025-10-31 16:45:34,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:34,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:34,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.63, max=20.46, mean=-0.131, std=2.533, absmax=20.46 +2025-10-31 16:45:34,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=14.96, mean=-0.1432, std=2.132, absmax=14.96 +2025-10-31 16:45:34,922 ERROR: Encountered non-finite generator loss at iter 3995; skipping update. +2025-10-31 16:45:34,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,925 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:34,928 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:34,929 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:34,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:34,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.34, mean=-0.2605, std=2.961, absmax=12.34 +2025-10-31 16:45:34,932 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.413, mean=-0.2423, std=2.412, absmax=10.86 +2025-10-31 16:45:35,431 ERROR: Encountered non-finite generator loss at iter 3996; skipping update. +2025-10-31 16:45:35,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:35,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:35,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=10.72, mean=-0.257, std=2.358, absmax=11.56 +2025-10-31 16:45:35,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.197, max=7.608, mean=-0.2702, std=1.979, absmax=9.197 +2025-10-31 16:45:35,935 ERROR: Encountered non-finite generator loss at iter 3997; skipping update. +2025-10-31 16:45:35,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:35,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:35,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:35,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:35,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=16.34, mean=-0.1653, std=3.516, absmax=16.34 +2025-10-31 16:45:35,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.76, max=9.285, mean=-0.2103, std=3.104, absmax=12.76 +2025-10-31 16:45:36,437 ERROR: Encountered non-finite generator loss at iter 3998; skipping update. +2025-10-31 16:45:36,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:36,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:36,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=14.64, mean=0.01547, std=3.107, absmax=14.64 +2025-10-31 16:45:36,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.044, max=11.46, mean=0.02089, std=2.545, absmax=11.46 +2025-10-31 16:45:36,939 ERROR: Encountered non-finite generator loss at iter 3999; skipping update. +2025-10-31 16:45:36,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:36,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:36,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:36,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:36,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.84, mean=0.03883, std=3.158, absmax=13.84 +2025-10-31 16:45:36,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=11.39, mean=-0.01194, std=2.537, absmax=11.39 +2025-10-31 16:45:37,443 ERROR: Encountered non-finite generator loss at iter 4000; skipping update. +2025-10-31 16:45:37,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:37,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:37,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=10.75, mean=-0.2777, std=2.401, absmax=11.9 +2025-10-31 16:45:37,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.788, max=7.92, mean=-0.2273, std=2.088, absmax=8.788 +2025-10-31 16:45:37,453 INFO: [29..][epoch: 0, step: 4,000, lr:(1.500e-04,)] [eta: 1 day, 18:38:27, time (data): 0.502 (0.000)] +2025-10-31 16:45:37,947 ERROR: Encountered non-finite generator loss at iter 4001; skipping update. +2025-10-31 16:45:37,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:37,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:37,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:37,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:37,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.71, mean=-0.01886, std=3.373, absmax=14.71 +2025-10-31 16:45:37,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=11.89, mean=-0.04838, std=2.786, absmax=11.89 +2025-10-31 16:45:38,453 ERROR: Encountered non-finite generator loss at iter 4002; skipping update. +2025-10-31 16:45:38,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:38,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:38,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.82, mean=0.06994, std=3.122, absmax=14.82 +2025-10-31 16:45:38,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=12.63, mean=0.003781, std=2.579, absmax=12.63 +2025-10-31 16:45:38,957 ERROR: Encountered non-finite generator loss at iter 4003; skipping update. +2025-10-31 16:45:38,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:38,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:38,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:38,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:38,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.83, mean=-0.2036, std=2.914, absmax=12.83 +2025-10-31 16:45:38,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.381, max=8.588, mean=-0.2301, std=2.426, absmax=9.381 +2025-10-31 16:45:39,461 ERROR: Encountered non-finite generator loss at iter 4004; skipping update. +2025-10-31 16:45:39,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:39,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:39,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=15.22, mean=-0.04886, std=3.646, absmax=15.58 +2025-10-31 16:45:39,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=10.63, mean=-0.05953, std=2.885, absmax=11.28 +2025-10-31 16:45:39,966 ERROR: Encountered non-finite generator loss at iter 4005; skipping update. +2025-10-31 16:45:39,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:39,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:39,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:39,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:39,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=16.1, mean=0.01346, std=3.962, absmax=16.1 +2025-10-31 16:45:39,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=14.94, mean=0.03855, std=3.557, absmax=14.94 +2025-10-31 16:45:40,469 ERROR: Encountered non-finite generator loss at iter 4006; skipping update. +2025-10-31 16:45:40,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:40,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:40,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=15.9, mean=-0.2762, std=2.944, absmax=15.9 +2025-10-31 16:45:40,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=9.704, mean=-0.2911, std=2.544, absmax=11.94 +2025-10-31 16:45:40,973 ERROR: Encountered non-finite generator loss at iter 4007; skipping update. +2025-10-31 16:45:40,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,976 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:40,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:40,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:40,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:40,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.27, mean=-0.1924, std=3.656, absmax=14.27 +2025-10-31 16:45:40,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=10.44, mean=-0.1616, std=2.83, absmax=11.75 +2025-10-31 16:45:41,477 ERROR: Encountered non-finite generator loss at iter 4008; skipping update. +2025-10-31 16:45:41,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,479 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:41,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:41,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.33, mean=0.1079, std=3.467, absmax=14.33 +2025-10-31 16:45:41,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.12, mean=0.0771, std=3.069, absmax=11.12 +2025-10-31 16:45:41,982 ERROR: Encountered non-finite generator loss at iter 4009; skipping update. +2025-10-31 16:45:41,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:41,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:41,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:41,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:41,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.27, max=12.65, mean=-0.123, std=2.483, absmax=12.65 +2025-10-31 16:45:41,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.12, mean=-0.02935, std=2.395, absmax=10.54 +2025-10-31 16:45:42,487 ERROR: Encountered non-finite generator loss at iter 4010; skipping update. +2025-10-31 16:45:42,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,490 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:42,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:42,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=13.12, mean=-0.09517, std=3.154, absmax=13.12 +2025-10-31 16:45:42,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=13.52, mean=-0.1288, std=2.766, absmax=13.52 +2025-10-31 16:45:42,988 ERROR: Encountered non-finite generator loss at iter 4011; skipping update. +2025-10-31 16:45:42,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:42,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:42,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:42,995 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:42,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.02, mean=-0.2537, std=2.636, absmax=14.02 +2025-10-31 16:45:42,997 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.755, max=9.128, mean=-0.2146, std=2.143, absmax=9.755 +2025-10-31 16:45:43,490 ERROR: Encountered non-finite generator loss at iter 4012; skipping update. +2025-10-31 16:45:43,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:43,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:43,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.59, mean=-0.1815, std=3.186, absmax=12.59 +2025-10-31 16:45:43,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.878, mean=-0.2059, std=2.53, absmax=10.15 +2025-10-31 16:45:43,991 ERROR: Encountered non-finite generator loss at iter 4013; skipping update. +2025-10-31 16:45:43,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:43,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:43,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:43,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:43,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.85, mean=-0.1258, std=3.012, absmax=12.17 +2025-10-31 16:45:43,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.966, max=9.304, mean=-0.1038, std=2.617, absmax=9.966 +2025-10-31 16:45:44,493 ERROR: Encountered non-finite generator loss at iter 4014; skipping update. +2025-10-31 16:45:44,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:44,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:44,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:44,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:44,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:44,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.3, mean=-0.2395, std=3.278, absmax=14.15 +2025-10-31 16:45:44,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=10.42, mean=-0.2467, std=2.925, absmax=12.1 +2025-10-31 16:45:44,995 ERROR: Encountered non-finite generator loss at iter 4015; skipping update. +2025-10-31 16:45:44,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:44,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:44,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:44,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:45,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:45,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:45,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.38, mean=-0.1447, std=2.761, absmax=13.38 +2025-10-31 16:45:45,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=12.19, mean=-0.161, std=2.412, absmax=12.19 +2025-10-31 16:45:45,497 ERROR: Encountered non-finite generator loss at iter 4016; skipping update. +2025-10-31 16:45:45,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:45,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:45,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:45,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:45,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:45,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:45,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:45,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:45,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.26, mean=0.1109, std=3.506, absmax=14.26 +2025-10-31 16:45:45,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.912, max=12.14, mean=0.05118, std=2.921, absmax=12.14 +2025-10-31 16:45:45,999 ERROR: Encountered non-finite generator loss at iter 4017; skipping update. +2025-10-31 16:45:46,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:46,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:46,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.83, mean=0.09768, std=3.447, absmax=12.83 +2025-10-31 16:45:46,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=12.19, mean=0.1429, std=3.017, absmax=12.19 +2025-10-31 16:45:46,500 ERROR: Encountered non-finite generator loss at iter 4018; skipping update. +2025-10-31 16:45:46,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:46,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:46,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:46,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:46,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=19.71, mean=-0.2908, std=3.127, absmax=19.71 +2025-10-31 16:45:46,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.24, max=14.03, mean=-0.272, std=2.655, absmax=14.03 +2025-10-31 16:45:47,000 ERROR: Encountered non-finite generator loss at iter 4019; skipping update. +2025-10-31 16:45:47,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:47,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:47,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.58, mean=-0.2331, std=2.918, absmax=12.94 +2025-10-31 16:45:47,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=8.299, mean=-0.2283, std=2.496, absmax=12.12 +2025-10-31 16:45:47,500 ERROR: Encountered non-finite generator loss at iter 4020; skipping update. +2025-10-31 16:45:47,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:47,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:47,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:47,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:47,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.2, mean=-0.3066, std=3.455, absmax=13.98 +2025-10-31 16:45:47,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.21, mean=-0.3342, std=2.801, absmax=11.29 +2025-10-31 16:45:47,999 ERROR: Encountered non-finite generator loss at iter 4021; skipping update. +2025-10-31 16:45:48,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:48,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:48,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=12.18, mean=-0.232, std=3.323, absmax=13.99 +2025-10-31 16:45:48,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.44, mean=-0.1907, std=2.824, absmax=11.11 +2025-10-31 16:45:48,499 ERROR: Encountered non-finite generator loss at iter 4022; skipping update. +2025-10-31 16:45:48,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:48,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:48,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:48,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:48,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.18, mean=-0.02673, std=3.239, absmax=14.18 +2025-10-31 16:45:48,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.13, mean=-0.0683, std=2.791, absmax=11.13 +2025-10-31 16:45:49,000 ERROR: Encountered non-finite generator loss at iter 4023; skipping update. +2025-10-31 16:45:49,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:49,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:49,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.1, mean=-0.2606, std=3.207, absmax=13.47 +2025-10-31 16:45:49,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=8.096, mean=-0.2834, std=2.674, absmax=11.77 +2025-10-31 16:45:49,502 ERROR: Encountered non-finite generator loss at iter 4024; skipping update. +2025-10-31 16:45:49,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:49,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:49,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:49,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:49,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=13.98, mean=-0.1243, std=2.905, absmax=13.98 +2025-10-31 16:45:49,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.033, max=10.9, mean=-0.1247, std=2.427, absmax=10.9 +2025-10-31 16:45:50,003 ERROR: Encountered non-finite generator loss at iter 4025; skipping update. +2025-10-31 16:45:50,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,005 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:50,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:50,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.69, mean=-0.04237, std=2.807, absmax=12.69 +2025-10-31 16:45:50,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=10.45, mean=-0.08146, std=2.385, absmax=10.45 +2025-10-31 16:45:50,504 ERROR: Encountered non-finite generator loss at iter 4026; skipping update. +2025-10-31 16:45:50,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:50,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:50,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:50,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:50,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.15, mean=0.07809, std=3.534, absmax=14.15 +2025-10-31 16:45:50,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=11.93, mean=0.09391, std=3.022, absmax=11.93 +2025-10-31 16:45:51,004 ERROR: Encountered non-finite generator loss at iter 4027; skipping update. +2025-10-31 16:45:51,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:51,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:51,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.06, mean=-0.2146, std=3.057, absmax=13.09 +2025-10-31 16:45:51,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.526, mean=-0.2335, std=2.472, absmax=10.67 +2025-10-31 16:45:51,504 ERROR: Encountered non-finite generator loss at iter 4028; skipping update. +2025-10-31 16:45:51,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:51,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:51,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:51,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:51,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=16.04, mean=-0.1736, std=2.648, absmax=16.04 +2025-10-31 16:45:51,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.219, max=11.33, mean=-0.1765, std=2.279, absmax=11.33 +2025-10-31 16:45:52,005 ERROR: Encountered non-finite generator loss at iter 4029; skipping update. +2025-10-31 16:45:52,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:52,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:52,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.3, mean=-0.0916, std=2.852, absmax=13.3 +2025-10-31 16:45:52,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.339, max=10.72, mean=-0.08831, std=2.352, absmax=10.72 +2025-10-31 16:45:52,506 ERROR: Encountered non-finite generator loss at iter 4030; skipping update. +2025-10-31 16:45:52,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:52,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:52,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:52,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:52,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.25, mean=-0.2174, std=3.608, absmax=13.93 +2025-10-31 16:45:52,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=10.57, mean=-0.2112, std=3.089, absmax=11.87 +2025-10-31 16:45:53,004 ERROR: Encountered non-finite generator loss at iter 4031; skipping update. +2025-10-31 16:45:53,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:53,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:53,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.8, mean=-0.2244, std=3.055, absmax=12.53 +2025-10-31 16:45:53,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.556, mean=-0.2773, std=2.508, absmax=10.6 +2025-10-31 16:45:53,507 ERROR: Encountered non-finite generator loss at iter 4032; skipping update. +2025-10-31 16:45:53,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:53,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:53,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:53,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:53,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.8, mean=-0.3553, std=2.901, absmax=11.95 +2025-10-31 16:45:53,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.742, max=8.286, mean=-0.3257, std=2.407, absmax=9.742 +2025-10-31 16:45:54,009 ERROR: Encountered non-finite generator loss at iter 4033; skipping update. +2025-10-31 16:45:54,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:54,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:54,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.49, mean=-0.06101, std=3.13, absmax=12.49 +2025-10-31 16:45:54,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=10.5, mean=-0.1303, std=2.69, absmax=11.94 +2025-10-31 16:45:54,511 ERROR: Encountered non-finite generator loss at iter 4034; skipping update. +2025-10-31 16:45:54,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:54,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:54,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:54,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:54,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=13.07, mean=-0.02863, std=3.545, absmax=14.16 +2025-10-31 16:45:54,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=10.53, mean=-0.07245, std=2.914, absmax=12.51 +2025-10-31 16:45:55,013 ERROR: Encountered non-finite generator loss at iter 4035; skipping update. +2025-10-31 16:45:55,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,015 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:55,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:55,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=15.05, mean=-0.2124, std=3.75, absmax=15.05 +2025-10-31 16:45:55,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.72, max=10.92, mean=-0.1974, std=3.25, absmax=12.72 +2025-10-31 16:45:55,514 ERROR: Encountered non-finite generator loss at iter 4036; skipping update. +2025-10-31 16:45:55,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:55,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:55,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:55,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:55,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.16, mean=-0.02019, std=2.766, absmax=14.16 +2025-10-31 16:45:55,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=8.953, mean=-0.01297, std=2.294, absmax=9.344 +2025-10-31 16:45:56,015 ERROR: Encountered non-finite generator loss at iter 4037; skipping update. +2025-10-31 16:45:56,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:56,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:56,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=11.27, mean=-0.1839, std=2.599, absmax=13.94 +2025-10-31 16:45:56,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.839, max=8.712, mean=-0.1837, std=2.222, absmax=9.839 +2025-10-31 16:45:56,516 ERROR: Encountered non-finite generator loss at iter 4038; skipping update. +2025-10-31 16:45:56,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:56,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:56,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:56,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:56,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=9.844, mean=-0.2182, std=2.607, absmax=11.99 +2025-10-31 16:45:56,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=7.265, mean=-0.2322, std=2.18, absmax=10.18 +2025-10-31 16:45:57,019 ERROR: Encountered non-finite generator loss at iter 4039; skipping update. +2025-10-31 16:45:57,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:57,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:57,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=14.2, mean=0.1615, std=3.463, absmax=14.2 +2025-10-31 16:45:57,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=12.87, mean=0.1403, std=2.901, absmax=12.87 +2025-10-31 16:45:57,521 ERROR: Encountered non-finite generator loss at iter 4040; skipping update. +2025-10-31 16:45:57,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:57,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:57,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:57,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:57,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.65, mean=0.01762, std=2.952, absmax=13.65 +2025-10-31 16:45:57,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=12.46, mean=0.01628, std=2.653, absmax=12.46 +2025-10-31 16:45:58,023 ERROR: Encountered non-finite generator loss at iter 4041; skipping update. +2025-10-31 16:45:58,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,026 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:58,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:58,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=15.95, mean=-0.1561, std=2.937, absmax=15.95 +2025-10-31 16:45:58,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.651, mean=-0.1821, std=2.477, absmax=10.73 +2025-10-31 16:45:58,523 ERROR: Encountered non-finite generator loss at iter 4042; skipping update. +2025-10-31 16:45:58,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:58,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:58,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:58,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:58,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.83, mean=-0.1552, std=2.433, absmax=14.83 +2025-10-31 16:45:58,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=9.543, mean=-0.1958, std=2.052, absmax=9.98 +2025-10-31 16:45:59,024 ERROR: Encountered non-finite generator loss at iter 4043; skipping update. +2025-10-31 16:45:59,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:59,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:59,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.46, mean=-0.127, std=2.973, absmax=13.46 +2025-10-31 16:45:59,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.279, max=10.41, mean=-0.1269, std=2.342, absmax=10.41 +2025-10-31 16:45:59,526 ERROR: Encountered non-finite generator loss at iter 4044; skipping update. +2025-10-31 16:45:59,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:45:59,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:45:59,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:45:59,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:45:59,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=17.29, mean=-0.1432, std=3.107, absmax=17.29 +2025-10-31 16:45:59,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.95, max=10.88, mean=-0.1791, std=2.564, absmax=12.95 +2025-10-31 16:46:00,027 ERROR: Encountered non-finite generator loss at iter 4045; skipping update. +2025-10-31 16:46:00,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:00,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:00,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.76, mean=-0.1029, std=2.906, absmax=13.17 +2025-10-31 16:46:00,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.196, max=9.124, mean=-0.0802, std=2.264, absmax=9.196 +2025-10-31 16:46:00,527 ERROR: Encountered non-finite generator loss at iter 4046; skipping update. +2025-10-31 16:46:00,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:00,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:00,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:00,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:00,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=15.95, mean=-0.02873, std=3.116, absmax=15.95 +2025-10-31 16:46:00,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.75, mean=-0.06238, std=2.566, absmax=11.75 +2025-10-31 16:46:01,025 ERROR: Encountered non-finite generator loss at iter 4047; skipping update. +2025-10-31 16:46:01,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:01,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:01,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=11.14, mean=-0.224, std=2.74, absmax=13.87 +2025-10-31 16:46:01,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=10.67, mean=-0.196, std=2.292, absmax=12.61 +2025-10-31 16:46:01,527 ERROR: Encountered non-finite generator loss at iter 4048; skipping update. +2025-10-31 16:46:01,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:01,532 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:01,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:01,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:01,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.36, max=14.65, mean=-0.2237, std=2.7, absmax=17.36 +2025-10-31 16:46:01,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.975, mean=-0.2783, std=2.143, absmax=10.04 +2025-10-31 16:46:02,027 ERROR: Encountered non-finite generator loss at iter 4049; skipping update. +2025-10-31 16:46:02,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:02,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:02,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.02, mean=-0.1705, std=2.957, absmax=14.02 +2025-10-31 16:46:02,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.367, mean=-0.2158, std=2.412, absmax=10.89 +2025-10-31 16:46:02,529 ERROR: Encountered non-finite generator loss at iter 4050; skipping update. +2025-10-31 16:46:02,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:02,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:02,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:02,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:02,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.92, mean=-0.3569, std=2.863, absmax=14.92 +2025-10-31 16:46:02,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.202, mean=-0.3581, std=2.48, absmax=10.03 +2025-10-31 16:46:03,029 ERROR: Encountered non-finite generator loss at iter 4051; skipping update. +2025-10-31 16:46:03,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:03,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:03,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=12.42, mean=-0.1178, std=3.11, absmax=14.78 +2025-10-31 16:46:03,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=9.257, mean=-0.191, std=2.429, absmax=12.12 +2025-10-31 16:46:03,532 ERROR: Encountered non-finite generator loss at iter 4052; skipping update. +2025-10-31 16:46:03,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:03,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:03,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:03,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:03,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=13.24, mean=-0.08399, std=2.805, absmax=14.98 +2025-10-31 16:46:03,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=9.574, mean=-0.08615, std=2.374, absmax=11.77 +2025-10-31 16:46:04,033 ERROR: Encountered non-finite generator loss at iter 4053; skipping update. +2025-10-31 16:46:04,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:04,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:04,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.19, mean=-0.278, std=3.285, absmax=13.19 +2025-10-31 16:46:04,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.68, max=10.22, mean=-0.2408, std=2.827, absmax=13.68 +2025-10-31 16:46:04,535 ERROR: Encountered non-finite generator loss at iter 4054; skipping update. +2025-10-31 16:46:04,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:04,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:04,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:04,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:04,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.86, mean=-0.1023, std=2.864, absmax=12.86 +2025-10-31 16:46:04,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.733, max=10.46, mean=-0.09586, std=2.576, absmax=10.46 +2025-10-31 16:46:05,036 ERROR: Encountered non-finite generator loss at iter 4055; skipping update. +2025-10-31 16:46:05,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:05,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:05,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.36, mean=0.01403, std=3.303, absmax=14.36 +2025-10-31 16:46:05,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=11.24, mean=-0.01826, std=2.787, absmax=11.57 +2025-10-31 16:46:05,539 ERROR: Encountered non-finite generator loss at iter 4056; skipping update. +2025-10-31 16:46:05,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:05,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:05,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:05,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:05,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=13.46, mean=-0.1016, std=2.777, absmax=13.46 +2025-10-31 16:46:05,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.317, max=10.02, mean=-0.1275, std=2.223, absmax=10.02 +2025-10-31 16:46:06,041 ERROR: Encountered non-finite generator loss at iter 4057; skipping update. +2025-10-31 16:46:06,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:06,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:06,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.99, max=13.96, mean=-0.05483, std=2.983, absmax=16.99 +2025-10-31 16:46:06,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.34, mean=-0.07836, std=2.515, absmax=11.34 +2025-10-31 16:46:06,542 ERROR: Encountered non-finite generator loss at iter 4058; skipping update. +2025-10-31 16:46:06,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:06,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:06,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:06,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:06,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.48, mean=-0.3267, std=2.491, absmax=12.7 +2025-10-31 16:46:06,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=7.646, mean=-0.2913, std=2.232, absmax=9.567 +2025-10-31 16:46:07,043 ERROR: Encountered non-finite generator loss at iter 4059; skipping update. +2025-10-31 16:46:07,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:07,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:07,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=11.56, mean=-0.1951, std=2.603, absmax=14.57 +2025-10-31 16:46:07,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=7.853, mean=-0.1899, std=2.218, absmax=9.824 +2025-10-31 16:46:07,544 ERROR: Encountered non-finite generator loss at iter 4060; skipping update. +2025-10-31 16:46:07,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:07,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:07,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:07,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:07,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=14.75, mean=-0.2854, std=3.153, absmax=14.75 +2025-10-31 16:46:07,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=12.36, mean=-0.215, std=2.932, absmax=12.36 +2025-10-31 16:46:08,044 ERROR: Encountered non-finite generator loss at iter 4061; skipping update. +2025-10-31 16:46:08,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:08,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:08,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=15.16, mean=0.2624, std=3.709, absmax=15.16 +2025-10-31 16:46:08,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.092, max=14.82, mean=0.2401, std=3.381, absmax=14.82 +2025-10-31 16:46:08,543 ERROR: Encountered non-finite generator loss at iter 4062; skipping update. +2025-10-31 16:46:08,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:08,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:08,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:08,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:08,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=14.34, mean=-0.1907, std=2.89, absmax=14.34 +2025-10-31 16:46:08,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.428, max=8.69, mean=-0.1912, std=2.411, absmax=9.428 +2025-10-31 16:46:09,044 ERROR: Encountered non-finite generator loss at iter 4063; skipping update. +2025-10-31 16:46:09,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:09,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:09,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.52, mean=-0.05058, std=3.233, absmax=14.52 +2025-10-31 16:46:09,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=11.44, mean=-0.05908, std=2.618, absmax=11.44 +2025-10-31 16:46:09,545 ERROR: Encountered non-finite generator loss at iter 4064; skipping update. +2025-10-31 16:46:09,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:09,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:09,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:09,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:09,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.03, mean=-0.2092, std=3.691, absmax=13.03 +2025-10-31 16:46:09,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.909, mean=-0.1819, std=2.981, absmax=12.21 +2025-10-31 16:46:10,048 ERROR: Encountered non-finite generator loss at iter 4065; skipping update. +2025-10-31 16:46:10,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:10,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:10,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=10.45, mean=-0.3249, std=3.036, absmax=13.64 +2025-10-31 16:46:10,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.95, max=8.898, mean=-0.2947, std=2.61, absmax=12.95 +2025-10-31 16:46:10,546 ERROR: Encountered non-finite generator loss at iter 4066; skipping update. +2025-10-31 16:46:10,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:10,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:10,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:10,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:10,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=12.15, mean=-0.1404, std=2.779, absmax=12.15 +2025-10-31 16:46:10,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.928, max=9.579, mean=-0.1695, std=2.263, absmax=9.579 +2025-10-31 16:46:11,046 ERROR: Encountered non-finite generator loss at iter 4067; skipping update. +2025-10-31 16:46:11,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:11,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:11,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.32, mean=-0.227, std=2.941, absmax=13.97 +2025-10-31 16:46:11,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.875, max=10.54, mean=-0.163, std=2.514, absmax=10.54 +2025-10-31 16:46:11,547 ERROR: Encountered non-finite generator loss at iter 4068; skipping update. +2025-10-31 16:46:11,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:11,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:11,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:11,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:11,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.1, mean=-0.06522, std=3.076, absmax=12.1 +2025-10-31 16:46:11,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=10.72, mean=-0.09816, std=2.885, absmax=11.55 +2025-10-31 16:46:12,047 ERROR: Encountered non-finite generator loss at iter 4069; skipping update. +2025-10-31 16:46:12,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:12,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:12,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=10.73, mean=-0.1929, std=2.839, absmax=15.32 +2025-10-31 16:46:12,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.976, mean=-0.1463, std=2.427, absmax=10.89 +2025-10-31 16:46:12,546 ERROR: Encountered non-finite generator loss at iter 4070; skipping update. +2025-10-31 16:46:12,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:12,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:12,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:12,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:12,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=9.726, mean=-0.2907, std=2.759, absmax=15 +2025-10-31 16:46:12,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=7.226, mean=-0.3081, std=2.301, absmax=11.21 +2025-10-31 16:46:13,045 ERROR: Encountered non-finite generator loss at iter 4071; skipping update. +2025-10-31 16:46:13,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:13,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:13,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.48, mean=-0.1449, std=2.757, absmax=13.48 +2025-10-31 16:46:13,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.59, mean=-0.1494, std=2.238, absmax=10.59 +2025-10-31 16:46:13,544 ERROR: Encountered non-finite generator loss at iter 4072; skipping update. +2025-10-31 16:46:13,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:13,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:13,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:13,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:13,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.23, mean=-0.2664, std=2.66, absmax=12.79 +2025-10-31 16:46:13,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.348, max=8.809, mean=-0.2701, std=2.268, absmax=9.348 +2025-10-31 16:46:14,041 ERROR: Encountered non-finite generator loss at iter 4073; skipping update. +2025-10-31 16:46:14,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:14,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:14,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=15.63, mean=-0.2517, std=3.509, absmax=15.63 +2025-10-31 16:46:14,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.54, mean=-0.2017, std=2.81, absmax=11.54 +2025-10-31 16:46:14,542 ERROR: Encountered non-finite generator loss at iter 4074; skipping update. +2025-10-31 16:46:14,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:14,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:14,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:14,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:14,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.19, mean=-0.2022, std=2.659, absmax=12.19 +2025-10-31 16:46:14,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=10.72, mean=-0.1597, std=2.289, absmax=10.72 +2025-10-31 16:46:15,043 ERROR: Encountered non-finite generator loss at iter 4075; skipping update. +2025-10-31 16:46:15,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:15,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:15,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.8, mean=-0.3571, std=3.324, absmax=13.8 +2025-10-31 16:46:15,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.97, max=10.16, mean=-0.2992, std=2.924, absmax=12.97 +2025-10-31 16:46:15,545 ERROR: Encountered non-finite generator loss at iter 4076; skipping update. +2025-10-31 16:46:15,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:15,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:15,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:15,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:15,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.76, mean=-0.1285, std=3.135, absmax=12.89 +2025-10-31 16:46:15,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=8.893, mean=-0.1497, std=2.666, absmax=10.87 +2025-10-31 16:46:16,045 ERROR: Encountered non-finite generator loss at iter 4077; skipping update. +2025-10-31 16:46:16,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:16,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:16,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=15.52, mean=0.04262, std=3.331, absmax=15.52 +2025-10-31 16:46:16,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.752, max=10.72, mean=-0.01261, std=2.864, absmax=10.72 +2025-10-31 16:46:16,548 ERROR: Encountered non-finite generator loss at iter 4078; skipping update. +2025-10-31 16:46:16,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:16,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:16,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:16,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:16,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.88, mean=-0.2627, std=3.256, absmax=13.97 +2025-10-31 16:46:16,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=9.548, mean=-0.235, std=2.621, absmax=11.71 +2025-10-31 16:46:17,056 ERROR: Encountered non-finite generator loss at iter 4079; skipping update. +2025-10-31 16:46:17,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:17,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:17,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.08, mean=-0.216, std=3.102, absmax=13.08 +2025-10-31 16:46:17,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=11.79, mean=-0.1925, std=2.621, absmax=12.26 +2025-10-31 16:46:17,558 ERROR: Encountered non-finite generator loss at iter 4080; skipping update. +2025-10-31 16:46:17,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:17,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:17,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:17,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:17,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.82, mean=-0.1453, std=2.9, absmax=13.04 +2025-10-31 16:46:17,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=8.657, mean=-0.1592, std=2.279, absmax=9.502 +2025-10-31 16:46:18,060 ERROR: Encountered non-finite generator loss at iter 4081; skipping update. +2025-10-31 16:46:18,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,064 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:18,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:18,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.03, mean=-0.1422, std=3.016, absmax=14.21 +2025-10-31 16:46:18,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.622, max=9.291, mean=-0.1489, std=2.555, absmax=9.622 +2025-10-31 16:46:18,563 ERROR: Encountered non-finite generator loss at iter 4082; skipping update. +2025-10-31 16:46:18,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:18,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:18,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:18,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:18,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=14.02, mean=-0.2726, std=2.641, absmax=14.02 +2025-10-31 16:46:18,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.224, max=8.926, mean=-0.2323, std=2.182, absmax=9.224 +2025-10-31 16:46:19,064 ERROR: Encountered non-finite generator loss at iter 4083; skipping update. +2025-10-31 16:46:19,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,067 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:19,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:19,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=15.43, mean=-0.02432, std=3.204, absmax=15.43 +2025-10-31 16:46:19,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=11.11, mean=-0.04149, std=2.696, absmax=11.59 +2025-10-31 16:46:19,567 ERROR: Encountered non-finite generator loss at iter 4084; skipping update. +2025-10-31 16:46:19,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:19,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:19,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:19,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:19,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=11.88, mean=-0.1774, std=2.848, absmax=14.16 +2025-10-31 16:46:19,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.85, mean=-0.1898, std=2.476, absmax=10.85 +2025-10-31 16:46:20,068 ERROR: Encountered non-finite generator loss at iter 4085; skipping update. +2025-10-31 16:46:20,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:20,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:20,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.04, mean=-0.07943, std=3.242, absmax=13.59 +2025-10-31 16:46:20,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.231, mean=-0.1438, std=2.843, absmax=10.89 +2025-10-31 16:46:20,569 ERROR: Encountered non-finite generator loss at iter 4086; skipping update. +2025-10-31 16:46:20,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:20,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:20,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:20,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:20,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=16.01, mean=0.1318, std=3.626, absmax=16.01 +2025-10-31 16:46:20,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=13.61, mean=0.07902, std=3.05, absmax=13.61 +2025-10-31 16:46:21,071 ERROR: Encountered non-finite generator loss at iter 4087; skipping update. +2025-10-31 16:46:21,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:21,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:21,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=12.26, mean=-0.07161, std=3.329, absmax=14.7 +2025-10-31 16:46:21,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.445, mean=-0.106, std=2.887, absmax=12.21 +2025-10-31 16:46:21,571 ERROR: Encountered non-finite generator loss at iter 4088; skipping update. +2025-10-31 16:46:21,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,575 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:21,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:21,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:21,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:21,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.96, max=15.74, mean=-0.1106, std=3.61, absmax=16.96 +2025-10-31 16:46:21,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.56, mean=-0.1456, std=2.81, absmax=11.56 +2025-10-31 16:46:22,073 ERROR: Encountered non-finite generator loss at iter 4089; skipping update. +2025-10-31 16:46:22,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:22,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:22,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.81, mean=-0.1957, std=3.353, absmax=13.73 +2025-10-31 16:46:22,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.961, mean=-0.1682, std=2.807, absmax=10.69 +2025-10-31 16:46:22,575 ERROR: Encountered non-finite generator loss at iter 4090; skipping update. +2025-10-31 16:46:22,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:22,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:22,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:22,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:22,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.16, mean=0.02668, std=3.5, absmax=15.16 +2025-10-31 16:46:22,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=14.82, mean=0.0548, std=3.129, absmax=14.82 +2025-10-31 16:46:23,076 ERROR: Encountered non-finite generator loss at iter 4091; skipping update. +2025-10-31 16:46:23,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:23,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:23,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.84, mean=-0.1711, std=2.763, absmax=13.5 +2025-10-31 16:46:23,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=9.807, mean=-0.189, std=2.41, absmax=9.898 +2025-10-31 16:46:23,579 ERROR: Encountered non-finite generator loss at iter 4092; skipping update. +2025-10-31 16:46:23,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:23,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:23,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:23,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:23,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.47, mean=-0.08627, std=2.928, absmax=13.47 +2025-10-31 16:46:23,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.065, max=10.29, mean=-0.09013, std=2.697, absmax=10.29 +2025-10-31 16:46:24,080 ERROR: Encountered non-finite generator loss at iter 4093; skipping update. +2025-10-31 16:46:24,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:24,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:24,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.68, max=14.26, mean=-0.1567, std=2.974, absmax=16.68 +2025-10-31 16:46:24,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.805, max=10.62, mean=-0.1554, std=2.411, absmax=10.62 +2025-10-31 16:46:24,582 ERROR: Encountered non-finite generator loss at iter 4094; skipping update. +2025-10-31 16:46:24,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:24,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:24,589 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:24,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:24,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.72, mean=-0.2361, std=2.724, absmax=13.72 +2025-10-31 16:46:24,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.936, max=8.066, mean=-0.236, std=2.201, absmax=8.936 +2025-10-31 16:46:25,085 ERROR: Encountered non-finite generator loss at iter 4095; skipping update. +2025-10-31 16:46:25,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:25,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:25,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.93, mean=-0.1319, std=2.788, absmax=13.18 +2025-10-31 16:46:25,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=10.34, mean=-0.1403, std=2.349, absmax=10.62 +2025-10-31 16:46:25,586 ERROR: Encountered non-finite generator loss at iter 4096; skipping update. +2025-10-31 16:46:25,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:25,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:25,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:25,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:25,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.13, mean=-0.09692, std=2.572, absmax=12.52 +2025-10-31 16:46:25,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.137, max=7.518, mean=-0.1136, std=2.102, absmax=8.137 +2025-10-31 16:46:26,087 ERROR: Encountered non-finite generator loss at iter 4097; skipping update. +2025-10-31 16:46:26,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:26,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:26,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.16, mean=0.2063, std=3.504, absmax=14.16 +2025-10-31 16:46:26,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.27, mean=0.1644, std=2.92, absmax=12.27 +2025-10-31 16:46:26,590 ERROR: Encountered non-finite generator loss at iter 4098; skipping update. +2025-10-31 16:46:26,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:26,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:26,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:26,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:26,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.86, mean=-0.1138, std=2.599, absmax=12.86 +2025-10-31 16:46:26,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.139, max=8.979, mean=-0.1262, std=2.246, absmax=9.139 +2025-10-31 16:46:27,091 ERROR: Encountered non-finite generator loss at iter 4099; skipping update. +2025-10-31 16:46:27,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:27,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:27,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.28, mean=0.003848, std=3.51, absmax=14.28 +2025-10-31 16:46:27,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=13.23, mean=0.03356, std=3.125, absmax=13.23 +2025-10-31 16:46:27,596 ERROR: Encountered non-finite generator loss at iter 4100; skipping update. +2025-10-31 16:46:27,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:27,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:27,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:27,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:27,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=12.96, mean=-0.2038, std=2.519, absmax=12.96 +2025-10-31 16:46:27,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.374, max=8.643, mean=-0.1916, std=2.144, absmax=9.374 +2025-10-31 16:46:27,607 INFO: [29..][epoch: 0, step: 4,100, lr:(1.500e-04,)] [eta: 1 day, 18:25:10, time (data): 0.501 (0.000)] +2025-10-31 16:46:28,100 ERROR: Encountered non-finite generator loss at iter 4101; skipping update. +2025-10-31 16:46:28,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:28,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:28,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=11.43, mean=-0.2579, std=2.954, absmax=13.97 +2025-10-31 16:46:28,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=8.307, mean=-0.2579, std=2.532, absmax=10.85 +2025-10-31 16:46:28,602 ERROR: Encountered non-finite generator loss at iter 4102; skipping update. +2025-10-31 16:46:28,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:28,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:28,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:28,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:28,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.64, max=15.6, mean=-0.09892, std=2.711, absmax=16.64 +2025-10-31 16:46:28,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.033, max=10.43, mean=-0.06109, std=2.406, absmax=10.43 +2025-10-31 16:46:29,105 ERROR: Encountered non-finite generator loss at iter 4103; skipping update. +2025-10-31 16:46:29,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:29,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:29,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.76, mean=-0.1599, std=3.231, absmax=12.33 +2025-10-31 16:46:29,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=9.622, mean=-0.1594, std=3.001, absmax=12.09 +2025-10-31 16:46:29,606 ERROR: Encountered non-finite generator loss at iter 4104; skipping update. +2025-10-31 16:46:29,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:29,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:29,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:29,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:29,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.02, mean=-0.3166, std=2.827, absmax=13.02 +2025-10-31 16:46:29,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.33, mean=-0.2599, std=2.486, absmax=10.35 +2025-10-31 16:46:30,110 ERROR: Encountered non-finite generator loss at iter 4105; skipping update. +2025-10-31 16:46:30,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:30,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:30,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.1, mean=-0.108, std=2.802, absmax=12.1 +2025-10-31 16:46:30,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.8, mean=-0.1028, std=2.611, absmax=11.8 +2025-10-31 16:46:30,613 ERROR: Encountered non-finite generator loss at iter 4106; skipping update. +2025-10-31 16:46:30,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:30,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:30,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:30,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:30,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.38, mean=-0.1035, std=2.424, absmax=11.43 +2025-10-31 16:46:30,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.893, max=8.644, mean=-0.07425, std=2.089, absmax=8.893 +2025-10-31 16:46:31,115 ERROR: Encountered non-finite generator loss at iter 4107; skipping update. +2025-10-31 16:46:31,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:31,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:31,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.97, mean=-0.2656, std=2.802, absmax=12.52 +2025-10-31 16:46:31,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=8.238, mean=-0.2027, std=2.386, absmax=10.2 +2025-10-31 16:46:31,619 ERROR: Encountered non-finite generator loss at iter 4108; skipping update. +2025-10-31 16:46:31,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:31,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:31,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:31,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:31,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.68, mean=0.01981, std=3.798, absmax=15.68 +2025-10-31 16:46:31,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=13.72, mean=0.05147, std=3.195, absmax=13.72 +2025-10-31 16:46:32,122 ERROR: Encountered non-finite generator loss at iter 4109; skipping update. +2025-10-31 16:46:32,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:32,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:32,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.31, mean=-0.2408, std=2.62, absmax=13.31 +2025-10-31 16:46:32,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.868, max=9.249, mean=-0.2082, std=2.153, absmax=9.249 +2025-10-31 16:46:32,624 ERROR: Encountered non-finite generator loss at iter 4110; skipping update. +2025-10-31 16:46:32,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:32,629 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:32,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:32,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:32,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=18.04, mean=0.05026, std=3.575, absmax=18.04 +2025-10-31 16:46:32,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=13.5, mean=0.02872, std=2.975, absmax=13.5 +2025-10-31 16:46:33,125 ERROR: Encountered non-finite generator loss at iter 4111; skipping update. +2025-10-31 16:46:33,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:33,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:33,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.12, mean=-0.08924, std=3.436, absmax=13.12 +2025-10-31 16:46:33,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.12, mean=-0.148, std=2.716, absmax=10.49 +2025-10-31 16:46:33,627 ERROR: Encountered non-finite generator loss at iter 4112; skipping update. +2025-10-31 16:46:33,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:33,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:33,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:33,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:33,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=16.74, mean=-0.1865, std=2.646, absmax=16.74 +2025-10-31 16:46:33,637 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.073, max=9.808, mean=-0.219, std=2.168, absmax=9.808 +2025-10-31 16:46:34,130 ERROR: Encountered non-finite generator loss at iter 4113; skipping update. +2025-10-31 16:46:34,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:34,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:34,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.24, mean=-0.1829, std=2.812, absmax=13.32 +2025-10-31 16:46:34,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=9.008, mean=-0.2013, std=2.373, absmax=11.47 +2025-10-31 16:46:34,632 ERROR: Encountered non-finite generator loss at iter 4114; skipping update. +2025-10-31 16:46:34,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:34,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:34,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:34,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:34,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-20.52, max=19.45, mean=-0.2252, std=3.565, absmax=20.52 +2025-10-31 16:46:34,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.56, max=12.48, mean=-0.1613, std=3.121, absmax=13.56 +2025-10-31 16:46:35,135 ERROR: Encountered non-finite generator loss at iter 4115; skipping update. +2025-10-31 16:46:35,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:35,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:35,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=12.53, mean=-0.3514, std=3.526, absmax=15.12 +2025-10-31 16:46:35,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.41, max=10.35, mean=-0.313, std=3.109, absmax=13.41 +2025-10-31 16:46:35,637 ERROR: Encountered non-finite generator loss at iter 4116; skipping update. +2025-10-31 16:46:35,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,642 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:35,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:35,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:35,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:35,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.9, mean=-0.06977, std=3.215, absmax=14.9 +2025-10-31 16:46:35,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.338, max=14.49, mean=-0.08364, std=2.855, absmax=14.49 +2025-10-31 16:46:36,139 ERROR: Encountered non-finite generator loss at iter 4117; skipping update. +2025-10-31 16:46:36,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:36,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:36,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.06, mean=-0.01569, std=2.912, absmax=13.09 +2025-10-31 16:46:36,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=11.15, mean=-0.03464, std=2.446, absmax=11.15 +2025-10-31 16:46:36,641 ERROR: Encountered non-finite generator loss at iter 4118; skipping update. +2025-10-31 16:46:36,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:36,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:36,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:36,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:36,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.74, mean=-0.1526, std=3.019, absmax=13.44 +2025-10-31 16:46:36,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.042, max=8.527, mean=-0.1689, std=2.539, absmax=9.042 +2025-10-31 16:46:37,143 ERROR: Encountered non-finite generator loss at iter 4119; skipping update. +2025-10-31 16:46:37,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,149 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:37,150 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:37,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.86, mean=-0.3868, std=2.59, absmax=12.86 +2025-10-31 16:46:37,152 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.807, max=7.448, mean=-0.3374, std=2.219, absmax=8.807 +2025-10-31 16:46:37,646 ERROR: Encountered non-finite generator loss at iter 4120; skipping update. +2025-10-31 16:46:37,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:37,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:37,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:37,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:37,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.75, mean=-0.3767, std=2.98, absmax=13.2 +2025-10-31 16:46:37,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.026, max=8.001, mean=-0.3464, std=2.46, absmax=9.026 +2025-10-31 16:46:38,147 ERROR: Encountered non-finite generator loss at iter 4121; skipping update. +2025-10-31 16:46:38,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:38,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:38,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12, mean=-0.2776, std=2.921, absmax=12.05 +2025-10-31 16:46:38,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=8.391, mean=-0.2812, std=2.436, absmax=10.4 +2025-10-31 16:46:38,652 ERROR: Encountered non-finite generator loss at iter 4122; skipping update. +2025-10-31 16:46:38,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:38,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:38,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:38,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:38,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.1, mean=-0.2043, std=2.902, absmax=12.1 +2025-10-31 16:46:38,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=9.65, mean=-0.1686, std=2.456, absmax=9.882 +2025-10-31 16:46:39,154 ERROR: Encountered non-finite generator loss at iter 4123; skipping update. +2025-10-31 16:46:39,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:39,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:39,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.01, mean=-0.1806, std=2.715, absmax=14.01 +2025-10-31 16:46:39,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.44, mean=-0.1361, std=2.265, absmax=10.49 +2025-10-31 16:46:39,658 ERROR: Encountered non-finite generator loss at iter 4124; skipping update. +2025-10-31 16:46:39,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:39,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:39,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:39,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:39,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=11.92, mean=-0.2431, std=2.711, absmax=15.23 +2025-10-31 16:46:39,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=9.094, mean=-0.1972, std=2.228, absmax=12.11 +2025-10-31 16:46:40,160 ERROR: Encountered non-finite generator loss at iter 4125; skipping update. +2025-10-31 16:46:40,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:40,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:40,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=13.14, mean=-0.03879, std=3.755, absmax=15.16 +2025-10-31 16:46:40,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.01, mean=-0.04969, std=3.37, absmax=11.01 +2025-10-31 16:46:40,665 ERROR: Encountered non-finite generator loss at iter 4126; skipping update. +2025-10-31 16:46:40,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:40,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:40,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:40,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:40,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.88, mean=-0.1338, std=2.858, absmax=11.88 +2025-10-31 16:46:40,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=8.55, mean=-0.09901, std=2.276, absmax=9.305 +2025-10-31 16:46:41,170 ERROR: Encountered non-finite generator loss at iter 4127; skipping update. +2025-10-31 16:46:41,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:41,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:41,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.26, mean=-0.281, std=2.992, absmax=12.75 +2025-10-31 16:46:41,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=8.45, mean=-0.2386, std=2.641, absmax=11.83 +2025-10-31 16:46:41,672 ERROR: Encountered non-finite generator loss at iter 4128; skipping update. +2025-10-31 16:46:41,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:41,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:41,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:41,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:41,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.99, mean=-0.144, std=3.048, absmax=12.65 +2025-10-31 16:46:41,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.106, max=9.487, mean=-0.09242, std=2.589, absmax=9.487 +2025-10-31 16:46:42,175 ERROR: Encountered non-finite generator loss at iter 4129; skipping update. +2025-10-31 16:46:42,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:42,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:42,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.68, mean=0.1452, std=3.342, absmax=13.21 +2025-10-31 16:46:42,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.14, mean=0.1339, std=2.868, absmax=12.14 +2025-10-31 16:46:42,678 ERROR: Encountered non-finite generator loss at iter 4130; skipping update. +2025-10-31 16:46:42,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:42,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:42,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:42,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:42,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=13.76, mean=-0.07999, std=3.207, absmax=13.76 +2025-10-31 16:46:42,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.318, max=11.51, mean=-0.1122, std=2.728, absmax=11.51 +2025-10-31 16:46:43,182 ERROR: Encountered non-finite generator loss at iter 4131; skipping update. +2025-10-31 16:46:43,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:43,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:43,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=16.73, mean=-0.1469, std=3.463, absmax=16.73 +2025-10-31 16:46:43,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.41, mean=-0.1412, std=2.68, absmax=11.19 +2025-10-31 16:46:43,684 ERROR: Encountered non-finite generator loss at iter 4132; skipping update. +2025-10-31 16:46:43,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:43,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:43,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:43,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:43,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.72, mean=-0.2234, std=2.797, absmax=13.52 +2025-10-31 16:46:43,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.899, max=9.223, mean=-0.2221, std=2.287, absmax=9.899 +2025-10-31 16:46:44,186 ERROR: Encountered non-finite generator loss at iter 4133; skipping update. +2025-10-31 16:46:44,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:44,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:44,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.83, mean=-0.1496, std=2.779, absmax=12.83 +2025-10-31 16:46:44,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.819, max=9.129, mean=-0.1478, std=2.268, absmax=9.129 +2025-10-31 16:46:44,687 ERROR: Encountered non-finite generator loss at iter 4134; skipping update. +2025-10-31 16:46:44,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:44,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:44,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:44,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:44,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.55, mean=-0.07089, std=2.897, absmax=12.88 +2025-10-31 16:46:44,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.548, max=9.835, mean=-0.1289, std=2.42, absmax=9.835 +2025-10-31 16:46:45,190 ERROR: Encountered non-finite generator loss at iter 4135; skipping update. +2025-10-31 16:46:45,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:45,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:45,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.49, mean=-0.2917, std=2.901, absmax=13.49 +2025-10-31 16:46:45,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.46, mean=-0.2334, std=2.404, absmax=11.46 +2025-10-31 16:46:45,693 ERROR: Encountered non-finite generator loss at iter 4136; skipping update. +2025-10-31 16:46:45,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:45,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:45,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:45,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:45,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.86, max=13.35, mean=-0.1346, std=3.033, absmax=15.86 +2025-10-31 16:46:45,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.045, mean=-0.1607, std=2.456, absmax=10.3 +2025-10-31 16:46:46,197 ERROR: Encountered non-finite generator loss at iter 4137; skipping update. +2025-10-31 16:46:46,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:46,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:46,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=10.94, mean=-0.2779, std=2.713, absmax=12.4 +2025-10-31 16:46:46,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.482, mean=-0.2562, std=2.283, absmax=10.6 +2025-10-31 16:46:46,700 ERROR: Encountered non-finite generator loss at iter 4138; skipping update. +2025-10-31 16:46:46,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:46,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:46,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:46,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:46,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.31, max=14.71, mean=0.1963, std=3.914, absmax=17.31 +2025-10-31 16:46:46,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=12.46, mean=0.1776, std=3.325, absmax=12.46 +2025-10-31 16:46:47,203 ERROR: Encountered non-finite generator loss at iter 4139; skipping update. +2025-10-31 16:46:47,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:47,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:47,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=15.78, mean=-0.07519, std=3.475, absmax=15.78 +2025-10-31 16:46:47,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=13.19, mean=-0.0763, std=2.91, absmax=13.19 +2025-10-31 16:46:47,706 ERROR: Encountered non-finite generator loss at iter 4140; skipping update. +2025-10-31 16:46:47,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:47,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:47,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:47,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:47,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.85, mean=-0.1035, std=2.865, absmax=12.34 +2025-10-31 16:46:47,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.661, max=9.549, mean=-0.09273, std=2.521, absmax=9.661 +2025-10-31 16:46:48,210 ERROR: Encountered non-finite generator loss at iter 4141; skipping update. +2025-10-31 16:46:48,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,213 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:48,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:48,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.51, mean=-0.1052, std=3.035, absmax=12.51 +2025-10-31 16:46:48,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.904, max=11.61, mean=-0.1263, std=2.627, absmax=11.61 +2025-10-31 16:46:48,714 ERROR: Encountered non-finite generator loss at iter 4142; skipping update. +2025-10-31 16:46:48,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,716 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:48,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:48,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:48,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:48,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=14.15, mean=-0.1492, std=2.632, absmax=14.15 +2025-10-31 16:46:48,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=7.822, mean=-0.154, std=2.182, absmax=10.04 +2025-10-31 16:46:49,216 ERROR: Encountered non-finite generator loss at iter 4143; skipping update. +2025-10-31 16:46:49,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:49,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:49,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.33, mean=-0.2407, std=3.489, absmax=13.43 +2025-10-31 16:46:49,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.03, mean=-0.2502, std=2.857, absmax=10.17 +2025-10-31 16:46:49,718 ERROR: Encountered non-finite generator loss at iter 4144; skipping update. +2025-10-31 16:46:49,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:49,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:49,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:49,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:49,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=14.81, mean=0.1032, std=3.446, absmax=14.81 +2025-10-31 16:46:49,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.819, max=12.37, mean=0.1125, std=2.946, absmax=12.37 +2025-10-31 16:46:50,222 ERROR: Encountered non-finite generator loss at iter 4145; skipping update. +2025-10-31 16:46:50,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:50,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:50,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.97, mean=-0.2229, std=2.974, absmax=12.97 +2025-10-31 16:46:50,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=10.27, mean=-0.221, std=2.365, absmax=11.7 +2025-10-31 16:46:50,723 ERROR: Encountered non-finite generator loss at iter 4146; skipping update. +2025-10-31 16:46:50,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:50,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:50,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:50,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:50,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=16.9, mean=0.02518, std=2.915, absmax=16.9 +2025-10-31 16:46:50,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.156, max=10.97, mean=0.01775, std=2.601, absmax=10.97 +2025-10-31 16:46:51,223 ERROR: Encountered non-finite generator loss at iter 4147; skipping update. +2025-10-31 16:46:51,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:51,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:51,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.2, mean=0.1869, std=3.46, absmax=14.2 +2025-10-31 16:46:51,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=12.71, mean=0.1432, std=2.916, absmax=12.71 +2025-10-31 16:46:51,727 ERROR: Encountered non-finite generator loss at iter 4148; skipping update. +2025-10-31 16:46:51,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:51,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:51,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:51,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:51,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.45, mean=-0.1303, std=3.274, absmax=13.08 +2025-10-31 16:46:51,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=9.901, mean=-0.1534, std=2.73, absmax=11.07 +2025-10-31 16:46:52,229 ERROR: Encountered non-finite generator loss at iter 4149; skipping update. +2025-10-31 16:46:52,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:52,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:52,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.95, mean=-0.06566, std=3.018, absmax=13.95 +2025-10-31 16:46:52,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=10.14, mean=-0.0613, std=2.487, absmax=11.38 +2025-10-31 16:46:52,731 ERROR: Encountered non-finite generator loss at iter 4150; skipping update. +2025-10-31 16:46:52,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:52,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:52,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:52,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:52,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=17.63, mean=-0.06613, std=3.181, absmax=17.63 +2025-10-31 16:46:52,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.599, max=13.46, mean=0.01291, std=2.837, absmax=13.46 +2025-10-31 16:46:53,229 ERROR: Encountered non-finite generator loss at iter 4151; skipping update. +2025-10-31 16:46:53,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:53,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:53,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=13.79, mean=-0.09013, std=3.034, absmax=16.23 +2025-10-31 16:46:53,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=10.89, mean=-0.1587, std=2.471, absmax=11.01 +2025-10-31 16:46:53,732 ERROR: Encountered non-finite generator loss at iter 4152; skipping update. +2025-10-31 16:46:53,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:53,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:53,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:53,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:53,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=10.84, mean=-0.2375, std=3.167, absmax=14.92 +2025-10-31 16:46:53,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=8.447, mean=-0.2149, std=2.659, absmax=10.93 +2025-10-31 16:46:54,232 ERROR: Encountered non-finite generator loss at iter 4153; skipping update. +2025-10-31 16:46:54,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:54,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:54,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.98, mean=-0.1805, std=2.762, absmax=12.98 +2025-10-31 16:46:54,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.85, mean=-0.1516, std=2.525, absmax=11.03 +2025-10-31 16:46:54,734 ERROR: Encountered non-finite generator loss at iter 4154; skipping update. +2025-10-31 16:46:54,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:54,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:54,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:54,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:54,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.53, mean=-0.3033, std=2.799, absmax=12.61 +2025-10-31 16:46:54,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.969, max=10.64, mean=-0.2426, std=2.38, absmax=10.64 +2025-10-31 16:46:55,233 ERROR: Encountered non-finite generator loss at iter 4155; skipping update. +2025-10-31 16:46:55,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:55,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:55,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.25, mean=-0.1167, std=3.031, absmax=14.25 +2025-10-31 16:46:55,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.836, max=9.611, mean=-0.1431, std=2.452, absmax=9.836 +2025-10-31 16:46:55,736 ERROR: Encountered non-finite generator loss at iter 4156; skipping update. +2025-10-31 16:46:55,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:55,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:55,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:55,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:55,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.97, mean=-0.1515, std=3.424, absmax=13.13 +2025-10-31 16:46:55,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.553, mean=-0.163, std=2.826, absmax=10.81 +2025-10-31 16:46:56,237 ERROR: Encountered non-finite generator loss at iter 4157; skipping update. +2025-10-31 16:46:56,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:56,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:56,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.61, mean=-0.1259, std=2.637, absmax=12.26 +2025-10-31 16:46:56,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.059, max=10.45, mean=-0.09371, std=2.278, absmax=10.45 +2025-10-31 16:46:56,738 ERROR: Encountered non-finite generator loss at iter 4158; skipping update. +2025-10-31 16:46:56,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:56,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:56,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:56,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:56,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.78, mean=-0.168, std=2.944, absmax=12.95 +2025-10-31 16:46:56,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.3, max=8.439, mean=-0.1925, std=2.424, absmax=9.3 +2025-10-31 16:46:57,241 ERROR: Encountered non-finite generator loss at iter 4159; skipping update. +2025-10-31 16:46:57,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:57,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:57,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=16.03, mean=-0.1611, std=3.228, absmax=16.03 +2025-10-31 16:46:57,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=11.78, mean=-0.1528, std=2.65, absmax=11.78 +2025-10-31 16:46:57,743 ERROR: Encountered non-finite generator loss at iter 4160; skipping update. +2025-10-31 16:46:57,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:57,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:57,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:57,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:57,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.21, mean=-0.1907, std=2.529, absmax=12.56 +2025-10-31 16:46:57,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=9.885, mean=-0.176, std=2.218, absmax=10.19 +2025-10-31 16:46:58,246 ERROR: Encountered non-finite generator loss at iter 4161; skipping update. +2025-10-31 16:46:58,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:58,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:58,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=14.3, mean=0.04782, std=3.255, absmax=14.3 +2025-10-31 16:46:58,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=12.69, mean=0.02825, std=2.699, absmax=12.69 +2025-10-31 16:46:58,750 ERROR: Encountered non-finite generator loss at iter 4162; skipping update. +2025-10-31 16:46:58,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:58,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:58,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:58,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:58,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.37, mean=-0.07324, std=3.079, absmax=14.37 +2025-10-31 16:46:58,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.1, max=9.741, mean=-0.05064, std=2.535, absmax=9.741 +2025-10-31 16:46:59,253 ERROR: Encountered non-finite generator loss at iter 4163; skipping update. +2025-10-31 16:46:59,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:59,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:59,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.13, mean=-0.0375, std=3.41, absmax=13.53 +2025-10-31 16:46:59,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.203, max=11.38, mean=-0.0211, std=2.784, absmax=11.38 +2025-10-31 16:46:59,756 ERROR: Encountered non-finite generator loss at iter 4164; skipping update. +2025-10-31 16:46:59,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:46:59,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:46:59,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:46:59,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:46:59,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.1, mean=-0.1416, std=3.009, absmax=12.56 +2025-10-31 16:46:59,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.511, max=9.07, mean=-0.1521, std=2.371, absmax=9.511 +2025-10-31 16:47:00,259 ERROR: Encountered non-finite generator loss at iter 4165; skipping update. +2025-10-31 16:47:00,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:00,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:00,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=12.98, mean=-0.0853, std=3.496, absmax=14.86 +2025-10-31 16:47:00,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.85, mean=-0.1024, std=3.058, absmax=11.74 +2025-10-31 16:47:00,762 ERROR: Encountered non-finite generator loss at iter 4166; skipping update. +2025-10-31 16:47:00,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,765 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:00,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:00,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:00,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:00,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.88, mean=-0.08963, std=3.032, absmax=13.88 +2025-10-31 16:47:00,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=10.4, mean=-0.02787, std=2.556, absmax=10.4 +2025-10-31 16:47:01,266 ERROR: Encountered non-finite generator loss at iter 4167; skipping update. +2025-10-31 16:47:01,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:01,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:01,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.81, mean=-0.268, std=2.525, absmax=14.81 +2025-10-31 16:47:01,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.02, mean=-0.2896, std=2.167, absmax=11.02 +2025-10-31 16:47:01,766 ERROR: Encountered non-finite generator loss at iter 4168; skipping update. +2025-10-31 16:47:01,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:01,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:01,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:01,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:01,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.31, mean=-0.1825, std=2.921, absmax=13.31 +2025-10-31 16:47:01,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.413, max=8.962, mean=-0.1966, std=2.371, absmax=9.413 +2025-10-31 16:47:02,269 ERROR: Encountered non-finite generator loss at iter 4169; skipping update. +2025-10-31 16:47:02,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:02,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:02,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.89, mean=-0.04223, std=3.449, absmax=14.89 +2025-10-31 16:47:02,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=11.87, mean=-0.02602, std=2.945, absmax=11.87 +2025-10-31 16:47:02,769 ERROR: Encountered non-finite generator loss at iter 4170; skipping update. +2025-10-31 16:47:02,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:02,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:02,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:02,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:02,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.79, mean=-0.0733, std=2.945, absmax=11.79 +2025-10-31 16:47:02,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.388, max=9.843, mean=-0.1214, std=2.447, absmax=9.843 +2025-10-31 16:47:03,270 ERROR: Encountered non-finite generator loss at iter 4171; skipping update. +2025-10-31 16:47:03,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:03,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:03,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=14.22, mean=-0.1039, std=3.725, absmax=14.59 +2025-10-31 16:47:03,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=12.09, mean=-0.1222, std=2.971, absmax=12.09 +2025-10-31 16:47:03,771 ERROR: Encountered non-finite generator loss at iter 4172; skipping update. +2025-10-31 16:47:03,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:03,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:03,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:03,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:03,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=15.23, mean=-0.03218, std=2.943, absmax=15.23 +2025-10-31 16:47:03,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=13.66, mean=-0.009483, std=2.475, absmax=13.66 +2025-10-31 16:47:04,270 ERROR: Encountered non-finite generator loss at iter 4173; skipping update. +2025-10-31 16:47:04,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:04,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:04,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.95, mean=0.08987, std=3.228, absmax=14.95 +2025-10-31 16:47:04,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.66, mean=0.05613, std=2.714, absmax=11.66 +2025-10-31 16:47:04,772 ERROR: Encountered non-finite generator loss at iter 4174; skipping update. +2025-10-31 16:47:04,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,774 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:04,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:04,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:04,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:04,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.51, mean=-0.1841, std=3.159, absmax=13.89 +2025-10-31 16:47:04,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=10.28, mean=-0.2241, std=2.696, absmax=12.1 +2025-10-31 16:47:05,271 ERROR: Encountered non-finite generator loss at iter 4175; skipping update. +2025-10-31 16:47:05,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:05,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:05,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.24, mean=-0.03776, std=3.934, absmax=15.24 +2025-10-31 16:47:05,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=12.72, mean=-0.06381, std=3.271, absmax=12.72 +2025-10-31 16:47:05,771 ERROR: Encountered non-finite generator loss at iter 4176; skipping update. +2025-10-31 16:47:05,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:05,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:05,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:05,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:05,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.43, mean=-0.1796, std=3.167, absmax=13.43 +2025-10-31 16:47:05,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.279, max=9.343, mean=-0.1661, std=2.487, absmax=9.343 +2025-10-31 16:47:06,272 ERROR: Encountered non-finite generator loss at iter 4177; skipping update. +2025-10-31 16:47:06,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:06,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:06,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.68, mean=-0.212, std=2.931, absmax=14.68 +2025-10-31 16:47:06,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.49, mean=-0.1821, std=2.47, absmax=10.49 +2025-10-31 16:47:06,773 ERROR: Encountered non-finite generator loss at iter 4178; skipping update. +2025-10-31 16:47:06,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:06,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:06,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:06,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:06,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.04, mean=-0.239, std=2.703, absmax=12.04 +2025-10-31 16:47:06,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.019, max=10.59, mean=-0.2605, std=2.259, absmax=10.59 +2025-10-31 16:47:07,273 ERROR: Encountered non-finite generator loss at iter 4179; skipping update. +2025-10-31 16:47:07,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:07,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:07,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=17.68, mean=0.04834, std=3.333, absmax=17.68 +2025-10-31 16:47:07,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=14.04, mean=0.001019, std=2.876, absmax=14.04 +2025-10-31 16:47:07,775 ERROR: Encountered non-finite generator loss at iter 4180; skipping update. +2025-10-31 16:47:07,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,778 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:07,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:07,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:07,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:07,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.49, mean=0.004979, std=3.337, absmax=14.49 +2025-10-31 16:47:07,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=10.99, mean=-0.02779, std=2.719, absmax=11.38 +2025-10-31 16:47:08,274 ERROR: Encountered non-finite generator loss at iter 4181; skipping update. +2025-10-31 16:47:08,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:08,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:08,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.27, mean=-0.3597, std=2.818, absmax=13.27 +2025-10-31 16:47:08,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.56, mean=-0.34, std=2.438, absmax=11.36 +2025-10-31 16:47:08,775 ERROR: Encountered non-finite generator loss at iter 4182; skipping update. +2025-10-31 16:47:08,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:08,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:08,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:08,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:08,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=13.15, mean=-0.1612, std=2.684, absmax=13.15 +2025-10-31 16:47:08,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.419, mean=-0.1483, std=2.232, absmax=10.07 +2025-10-31 16:47:09,276 ERROR: Encountered non-finite generator loss at iter 4183; skipping update. +2025-10-31 16:47:09,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:09,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:09,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=12.81, mean=-0.2766, std=3.128, absmax=13.88 +2025-10-31 16:47:09,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.14, mean=-0.2418, std=2.525, absmax=11.71 +2025-10-31 16:47:09,776 ERROR: Encountered non-finite generator loss at iter 4184; skipping update. +2025-10-31 16:47:09,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,778 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:09,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:09,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:09,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:09,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.09, mean=-0.2144, std=2.898, absmax=13.67 +2025-10-31 16:47:09,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.005, mean=-0.1868, std=2.421, absmax=12.21 +2025-10-31 16:47:10,277 ERROR: Encountered non-finite generator loss at iter 4185; skipping update. +2025-10-31 16:47:10,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:10,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:10,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.43, mean=0.01808, std=2.874, absmax=12.43 +2025-10-31 16:47:10,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.576, max=10.91, mean=-0.04106, std=2.434, absmax=10.91 +2025-10-31 16:47:10,778 ERROR: Encountered non-finite generator loss at iter 4186; skipping update. +2025-10-31 16:47:10,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:10,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:10,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:10,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:10,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.85, mean=0.06294, std=2.972, absmax=12.85 +2025-10-31 16:47:10,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=10.53, mean=-0.01451, std=2.451, absmax=10.53 +2025-10-31 16:47:11,278 ERROR: Encountered non-finite generator loss at iter 4187; skipping update. +2025-10-31 16:47:11,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:11,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:11,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.91, mean=-0.04278, std=3.324, absmax=12.91 +2025-10-31 16:47:11,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.37, mean=-0.07177, std=2.684, absmax=10.52 +2025-10-31 16:47:11,778 ERROR: Encountered non-finite generator loss at iter 4188; skipping update. +2025-10-31 16:47:11,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:11,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:11,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:11,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:11,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.95, mean=-0.2684, std=3.033, absmax=12.44 +2025-10-31 16:47:11,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.308, mean=-0.2541, std=2.435, absmax=10.65 +2025-10-31 16:47:12,280 ERROR: Encountered non-finite generator loss at iter 4189; skipping update. +2025-10-31 16:47:12,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:12,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:12,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.85, mean=-0.1817, std=2.926, absmax=13.07 +2025-10-31 16:47:12,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.485, max=10.73, mean=-0.1657, std=2.473, absmax=10.73 +2025-10-31 16:47:12,782 ERROR: Encountered non-finite generator loss at iter 4190; skipping update. +2025-10-31 16:47:12,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:12,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:12,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:12,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:12,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.46, mean=-0.05712, std=3.628, absmax=14.33 +2025-10-31 16:47:12,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=10.29, mean=-0.01593, std=3.107, absmax=11.78 +2025-10-31 16:47:13,283 ERROR: Encountered non-finite generator loss at iter 4191; skipping update. +2025-10-31 16:47:13,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:13,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:13,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.05, mean=-0.1453, std=2.738, absmax=12.05 +2025-10-31 16:47:13,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.286, mean=-0.1448, std=2.331, absmax=11.16 +2025-10-31 16:47:13,784 ERROR: Encountered non-finite generator loss at iter 4192; skipping update. +2025-10-31 16:47:13,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:13,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:13,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:13,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:13,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=12.53, mean=-0.2234, std=3.207, absmax=14.84 +2025-10-31 16:47:13,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.752, mean=-0.2275, std=2.891, absmax=10.65 +2025-10-31 16:47:14,285 ERROR: Encountered non-finite generator loss at iter 4193; skipping update. +2025-10-31 16:47:14,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:14,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:14,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=15.16, mean=-0.03107, std=3.776, absmax=15.16 +2025-10-31 16:47:14,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=14.82, mean=-0.0808, std=3.43, absmax=14.82 +2025-10-31 16:47:14,787 ERROR: Encountered non-finite generator loss at iter 4194; skipping update. +2025-10-31 16:47:14,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:14,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:14,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:14,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:14,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.73, mean=-0.0468, std=3.214, absmax=14.73 +2025-10-31 16:47:14,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.873, max=10.84, mean=-0.05414, std=2.493, absmax=10.84 +2025-10-31 16:47:15,290 ERROR: Encountered non-finite generator loss at iter 4195; skipping update. +2025-10-31 16:47:15,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:15,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:15,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=15.24, mean=-0.06474, std=3.118, absmax=15.24 +2025-10-31 16:47:15,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=12, mean=-0.05467, std=2.566, absmax=12 +2025-10-31 16:47:15,792 ERROR: Encountered non-finite generator loss at iter 4196; skipping update. +2025-10-31 16:47:15,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:15,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:15,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:15,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:15,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.54, mean=-0.1482, std=3.012, absmax=13.54 +2025-10-31 16:47:15,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=11.78, mean=-0.1593, std=2.563, absmax=11.78 +2025-10-31 16:47:16,294 ERROR: Encountered non-finite generator loss at iter 4197; skipping update. +2025-10-31 16:47:16,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:16,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:16,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.34, max=11.66, mean=-0.1491, std=2.234, absmax=11.66 +2025-10-31 16:47:16,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.744, max=9.561, mean=-0.1986, std=1.899, absmax=9.561 +2025-10-31 16:47:16,797 ERROR: Encountered non-finite generator loss at iter 4198; skipping update. +2025-10-31 16:47:16,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:16,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:16,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:16,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:16,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.64, mean=0.04289, std=3.071, absmax=13.64 +2025-10-31 16:47:16,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.429, max=9.242, mean=-0.02865, std=2.428, absmax=9.429 +2025-10-31 16:47:17,299 ERROR: Encountered non-finite generator loss at iter 4199; skipping update. +2025-10-31 16:47:17,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:17,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:17,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.34, mean=-0.2105, std=2.454, absmax=12.73 +2025-10-31 16:47:17,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.831, max=7.827, mean=-0.2308, std=2.116, absmax=9.831 +2025-10-31 16:47:17,801 ERROR: Encountered non-finite generator loss at iter 4200; skipping update. +2025-10-31 16:47:17,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,804 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:17,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:17,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:17,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:17,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.5, mean=-0.2767, std=2.741, absmax=12.5 +2025-10-31 16:47:17,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.335, max=9.48, mean=-0.2621, std=2.292, absmax=9.48 +2025-10-31 16:47:17,812 INFO: [29..][epoch: 0, step: 4,200, lr:(1.500e-04,)] [eta: 1 day, 18:12:32, time (data): 0.502 (0.000)] +2025-10-31 16:47:18,304 ERROR: Encountered non-finite generator loss at iter 4201; skipping update. +2025-10-31 16:47:18,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:18,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:18,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.98, mean=-0.1334, std=3.056, absmax=13.13 +2025-10-31 16:47:18,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.99, max=9.822, mean=-0.1267, std=2.483, absmax=9.822 +2025-10-31 16:47:18,805 ERROR: Encountered non-finite generator loss at iter 4202; skipping update. +2025-10-31 16:47:18,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:18,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:18,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:18,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:18,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.31, mean=-0.2481, std=2.437, absmax=13.31 +2025-10-31 16:47:18,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.025, max=9.822, mean=-0.2632, std=2.033, absmax=9.822 +2025-10-31 16:47:19,306 ERROR: Encountered non-finite generator loss at iter 4203; skipping update. +2025-10-31 16:47:19,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:19,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:19,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.68, mean=-0.1866, std=2.71, absmax=12.68 +2025-10-31 16:47:19,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=9.462, mean=-0.1772, std=2.245, absmax=9.995 +2025-10-31 16:47:19,807 ERROR: Encountered non-finite generator loss at iter 4204; skipping update. +2025-10-31 16:47:19,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:19,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:19,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:19,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:19,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=12.75, mean=-0.03731, std=3.093, absmax=14.45 +2025-10-31 16:47:19,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.623, max=11.49, mean=-0.06263, std=2.735, absmax=11.49 +2025-10-31 16:47:20,306 ERROR: Encountered non-finite generator loss at iter 4205; skipping update. +2025-10-31 16:47:20,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:20,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:20,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.39, mean=-0.1259, std=2.695, absmax=13.39 +2025-10-31 16:47:20,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=10.07, mean=-0.1344, std=2.259, absmax=10.07 +2025-10-31 16:47:20,809 ERROR: Encountered non-finite generator loss at iter 4206; skipping update. +2025-10-31 16:47:20,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:20,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:20,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:20,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:20,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.29, mean=-0.1762, std=2.83, absmax=12.55 +2025-10-31 16:47:20,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=8.984, mean=-0.1566, std=2.33, absmax=9.937 +2025-10-31 16:47:21,310 ERROR: Encountered non-finite generator loss at iter 4207; skipping update. +2025-10-31 16:47:21,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:21,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:21,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.12, mean=-0.2673, std=2.426, absmax=12.12 +2025-10-31 16:47:21,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.982, max=8.328, mean=-0.2637, std=2.1, absmax=8.982 +2025-10-31 16:47:21,808 ERROR: Encountered non-finite generator loss at iter 4208; skipping update. +2025-10-31 16:47:21,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:21,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:21,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:21,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:21,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=11.18, mean=-0.1138, std=2.671, absmax=11.56 +2025-10-31 16:47:21,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.217, max=8.569, mean=-0.0884, std=2.29, absmax=9.217 +2025-10-31 16:47:22,307 ERROR: Encountered non-finite generator loss at iter 4209; skipping update. +2025-10-31 16:47:22,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:22,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:22,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.46, mean=-0.2037, std=3.106, absmax=14.46 +2025-10-31 16:47:22,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=13.12, mean=-0.2204, std=2.653, absmax=13.12 +2025-10-31 16:47:22,808 ERROR: Encountered non-finite generator loss at iter 4210; skipping update. +2025-10-31 16:47:22,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:22,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:22,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:22,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:22,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.08, mean=-0.1876, std=3.332, absmax=13.25 +2025-10-31 16:47:22,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.911, mean=-0.1726, std=2.77, absmax=10.45 +2025-10-31 16:47:23,309 ERROR: Encountered non-finite generator loss at iter 4211; skipping update. +2025-10-31 16:47:23,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:23,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:23,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.56, mean=-0.1901, std=3.043, absmax=12.12 +2025-10-31 16:47:23,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.221, max=10.12, mean=-0.1758, std=2.494, absmax=10.12 +2025-10-31 16:47:23,809 ERROR: Encountered non-finite generator loss at iter 4212; skipping update. +2025-10-31 16:47:23,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:23,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:23,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:23,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:23,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.02, mean=0.1377, std=3.222, absmax=12.24 +2025-10-31 16:47:23,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=10.53, mean=0.1159, std=2.764, absmax=10.53 +2025-10-31 16:47:24,308 ERROR: Encountered non-finite generator loss at iter 4213; skipping update. +2025-10-31 16:47:24,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:24,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:24,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.75, mean=-0.1987, std=3.078, absmax=14.75 +2025-10-31 16:47:24,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.413, mean=-0.1814, std=2.523, absmax=10.8 +2025-10-31 16:47:24,808 ERROR: Encountered non-finite generator loss at iter 4214; skipping update. +2025-10-31 16:47:24,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:24,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:24,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:24,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:24,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.76, mean=0.01348, std=3.348, absmax=13.76 +2025-10-31 16:47:24,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.785, max=11.56, mean=-0.03579, std=2.823, absmax=11.56 +2025-10-31 16:47:25,306 ERROR: Encountered non-finite generator loss at iter 4215; skipping update. +2025-10-31 16:47:25,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:25,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:25,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.41, mean=-0.05881, std=3.135, absmax=14.41 +2025-10-31 16:47:25,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=10.23, mean=-0.0705, std=2.73, absmax=10.23 +2025-10-31 16:47:25,806 ERROR: Encountered non-finite generator loss at iter 4216; skipping update. +2025-10-31 16:47:25,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:25,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:25,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:25,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:25,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.93, mean=-0.06408, std=3.148, absmax=14.93 +2025-10-31 16:47:25,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.411, max=12.89, mean=-0.07741, std=2.799, absmax=12.89 +2025-10-31 16:47:26,322 ERROR: Encountered non-finite generator loss at iter 4217; skipping update. +2025-10-31 16:47:26,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:26,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:26,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=17.66, mean=0.06039, std=3.416, absmax=17.66 +2025-10-31 16:47:26,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.237, max=13.94, mean=0.04381, std=2.868, absmax=13.94 +2025-10-31 16:47:26,822 ERROR: Encountered non-finite generator loss at iter 4218; skipping update. +2025-10-31 16:47:26,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:26,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:26,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:26,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:26,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.35, mean=-0.1853, std=2.908, absmax=14.35 +2025-10-31 16:47:26,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.37, mean=-0.186, std=2.387, absmax=11.16 +2025-10-31 16:47:27,323 ERROR: Encountered non-finite generator loss at iter 4219; skipping update. +2025-10-31 16:47:27,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:27,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:27,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.59, mean=-0.06189, std=2.718, absmax=12.28 +2025-10-31 16:47:27,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.959, max=8.551, mean=-0.09567, std=2.319, absmax=9.959 +2025-10-31 16:47:27,822 ERROR: Encountered non-finite generator loss at iter 4220; skipping update. +2025-10-31 16:47:27,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:27,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:27,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:27,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:27,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.06, mean=-0.2172, std=3.555, absmax=13.68 +2025-10-31 16:47:27,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=10.46, mean=-0.2576, std=2.981, absmax=11.99 +2025-10-31 16:47:28,321 ERROR: Encountered non-finite generator loss at iter 4221; skipping update. +2025-10-31 16:47:28,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:28,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:28,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.42, mean=-0.2497, std=2.805, absmax=12.89 +2025-10-31 16:47:28,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.765, max=9.675, mean=-0.2489, std=2.398, absmax=9.765 +2025-10-31 16:47:28,822 ERROR: Encountered non-finite generator loss at iter 4222; skipping update. +2025-10-31 16:47:28,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:28,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:28,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:28,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:28,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=13.08, mean=-0.2337, std=3.256, absmax=14.57 +2025-10-31 16:47:28,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=11.02, mean=-0.2106, std=2.658, absmax=11.02 +2025-10-31 16:47:29,321 ERROR: Encountered non-finite generator loss at iter 4223; skipping update. +2025-10-31 16:47:29,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:29,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:29,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.32, mean=-0.01783, std=3.263, absmax=14.32 +2025-10-31 16:47:29,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.869, max=10.58, mean=-0.01733, std=2.597, absmax=10.58 +2025-10-31 16:47:29,822 ERROR: Encountered non-finite generator loss at iter 4224; skipping update. +2025-10-31 16:47:29,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:29,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:29,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:29,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:29,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.6, mean=-0.2918, std=2.67, absmax=12.72 +2025-10-31 16:47:29,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.88, max=9.807, mean=-0.2863, std=2.409, absmax=12.88 +2025-10-31 16:47:30,319 ERROR: Encountered non-finite generator loss at iter 4225; skipping update. +2025-10-31 16:47:30,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:30,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:30,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=14.04, mean=-0.06971, std=3.013, absmax=14.04 +2025-10-31 16:47:30,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.194, max=10.27, mean=-0.06603, std=2.532, absmax=10.27 +2025-10-31 16:47:30,820 ERROR: Encountered non-finite generator loss at iter 4226; skipping update. +2025-10-31 16:47:30,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:30,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:30,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:30,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:30,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=10.94, mean=-0.2648, std=2.48, absmax=10.94 +2025-10-31 16:47:30,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=8.731, mean=-0.2177, std=2.237, absmax=9.076 +2025-10-31 16:47:31,321 ERROR: Encountered non-finite generator loss at iter 4227; skipping update. +2025-10-31 16:47:31,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:31,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:31,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.99, mean=-0.1609, std=3.177, absmax=13.99 +2025-10-31 16:47:31,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.06, mean=-0.1924, std=2.709, absmax=11.06 +2025-10-31 16:47:31,822 ERROR: Encountered non-finite generator loss at iter 4228; skipping update. +2025-10-31 16:47:31,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:31,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:31,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:31,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:31,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.97, mean=-0.1955, std=3.411, absmax=13.97 +2025-10-31 16:47:31,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=11.64, mean=-0.2398, std=2.912, absmax=11.64 +2025-10-31 16:47:32,324 ERROR: Encountered non-finite generator loss at iter 4229; skipping update. +2025-10-31 16:47:32,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:32,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:32,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.05, mean=-0.0608, std=2.631, absmax=12.83 +2025-10-31 16:47:32,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.183, mean=-0.09024, std=2.237, absmax=10.15 +2025-10-31 16:47:32,823 ERROR: Encountered non-finite generator loss at iter 4230; skipping update. +2025-10-31 16:47:32,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:32,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:32,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:32,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:32,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.19, mean=-0.1019, std=3.414, absmax=14.19 +2025-10-31 16:47:32,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=12.45, mean=-0.08903, std=2.748, absmax=12.45 +2025-10-31 16:47:33,321 ERROR: Encountered non-finite generator loss at iter 4231; skipping update. +2025-10-31 16:47:33,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:33,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:33,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.94, mean=0.04956, std=3.394, absmax=13.94 +2025-10-31 16:47:33,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.42, mean=-0.03396, std=2.814, absmax=10.88 +2025-10-31 16:47:33,820 ERROR: Encountered non-finite generator loss at iter 4232; skipping update. +2025-10-31 16:47:33,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:33,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:33,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:33,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:33,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=10.87, mean=-0.2132, std=3.037, absmax=13.17 +2025-10-31 16:47:33,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=8.883, mean=-0.1997, std=2.63, absmax=11.31 +2025-10-31 16:47:34,320 ERROR: Encountered non-finite generator loss at iter 4233; skipping update. +2025-10-31 16:47:34,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:34,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:34,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.46, mean=-0.2856, std=2.444, absmax=12.51 +2025-10-31 16:47:34,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.036, mean=-0.2681, std=2.02, absmax=10.04 +2025-10-31 16:47:34,820 ERROR: Encountered non-finite generator loss at iter 4234; skipping update. +2025-10-31 16:47:34,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:34,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:34,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:34,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:34,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.6, mean=-0.234, std=2.904, absmax=13.69 +2025-10-31 16:47:34,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.8, max=9.673, mean=-0.2883, std=2.552, absmax=12.8 +2025-10-31 16:47:35,320 ERROR: Encountered non-finite generator loss at iter 4235; skipping update. +2025-10-31 16:47:35,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:35,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:35,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.82, mean=0.01841, std=3.171, absmax=12.82 +2025-10-31 16:47:35,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.37, mean=0.04241, std=2.677, absmax=11.37 +2025-10-31 16:47:35,820 ERROR: Encountered non-finite generator loss at iter 4236; skipping update. +2025-10-31 16:47:35,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:35,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:35,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:35,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:35,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.83, mean=-0.1146, std=3.068, absmax=13.83 +2025-10-31 16:47:35,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=12.61, mean=-0.09112, std=2.799, absmax=12.61 +2025-10-31 16:47:36,319 ERROR: Encountered non-finite generator loss at iter 4237; skipping update. +2025-10-31 16:47:36,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:36,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:36,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.88, mean=-0.3328, std=3.204, absmax=12.88 +2025-10-31 16:47:36,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=8.683, mean=-0.3301, std=2.758, absmax=12.13 +2025-10-31 16:47:36,820 ERROR: Encountered non-finite generator loss at iter 4238; skipping update. +2025-10-31 16:47:36,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:36,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:36,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:36,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:36,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=17.41, mean=-0.2256, std=3.691, absmax=17.41 +2025-10-31 16:47:36,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=10.78, mean=-0.2089, std=2.986, absmax=12.61 +2025-10-31 16:47:37,319 ERROR: Encountered non-finite generator loss at iter 4239; skipping update. +2025-10-31 16:47:37,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:37,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:37,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.89, mean=-0.2264, std=2.5, absmax=12.89 +2025-10-31 16:47:37,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.71, max=8.934, mean=-0.2006, std=2.064, absmax=8.934 +2025-10-31 16:47:37,816 ERROR: Encountered non-finite generator loss at iter 4240; skipping update. +2025-10-31 16:47:37,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:37,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:37,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:37,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:37,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.94, mean=0.06159, std=3.119, absmax=13.94 +2025-10-31 16:47:37,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=9.075, mean=-0.05306, std=2.581, absmax=9.761 +2025-10-31 16:47:38,316 ERROR: Encountered non-finite generator loss at iter 4241; skipping update. +2025-10-31 16:47:38,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:38,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:38,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.5, mean=-0.1364, std=2.995, absmax=12.5 +2025-10-31 16:47:38,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.272, max=8.853, mean=-0.2152, std=2.534, absmax=9.272 +2025-10-31 16:47:38,817 ERROR: Encountered non-finite generator loss at iter 4242; skipping update. +2025-10-31 16:47:38,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:38,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:38,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:38,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:38,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=11, mean=-0.1043, std=2.592, absmax=13.42 +2025-10-31 16:47:38,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.917, mean=-0.06162, std=2.359, absmax=10.89 +2025-10-31 16:47:39,315 ERROR: Encountered non-finite generator loss at iter 4243; skipping update. +2025-10-31 16:47:39,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:39,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:39,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=15.15, mean=-0.1518, std=2.854, absmax=15.15 +2025-10-31 16:47:39,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=10.11, mean=-0.191, std=2.252, absmax=10.11 +2025-10-31 16:47:39,816 ERROR: Encountered non-finite generator loss at iter 4244; skipping update. +2025-10-31 16:47:39,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:39,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:39,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:39,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:39,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.9, mean=-0.2687, std=2.855, absmax=13.9 +2025-10-31 16:47:39,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.101, mean=-0.24, std=2.552, absmax=10.08 +2025-10-31 16:47:40,315 ERROR: Encountered non-finite generator loss at iter 4245; skipping update. +2025-10-31 16:47:40,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:40,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:40,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.73, mean=-0.1409, std=2.95, absmax=13.85 +2025-10-31 16:47:40,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=10.91, mean=-0.1482, std=2.546, absmax=10.91 +2025-10-31 16:47:40,816 ERROR: Encountered non-finite generator loss at iter 4246; skipping update. +2025-10-31 16:47:40,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:40,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:40,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:40,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:40,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.22, mean=-0.1581, std=2.914, absmax=12.82 +2025-10-31 16:47:40,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.873, max=9.915, mean=-0.1435, std=2.349, absmax=9.915 +2025-10-31 16:47:41,316 ERROR: Encountered non-finite generator loss at iter 4247; skipping update. +2025-10-31 16:47:41,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:41,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:41,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=9.874, mean=-0.1745, std=3.01, absmax=12.06 +2025-10-31 16:47:41,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=7.557, mean=-0.1685, std=2.555, absmax=10.16 +2025-10-31 16:47:41,816 ERROR: Encountered non-finite generator loss at iter 4248; skipping update. +2025-10-31 16:47:41,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:41,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:41,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:41,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:41,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=14.7, mean=-0.01933, std=3.249, absmax=14.7 +2025-10-31 16:47:41,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.732, max=11.59, mean=0.009175, std=2.877, absmax=11.59 +2025-10-31 16:47:42,317 ERROR: Encountered non-finite generator loss at iter 4249; skipping update. +2025-10-31 16:47:42,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:42,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:42,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.7, mean=-0.1677, std=2.927, absmax=14.7 +2025-10-31 16:47:42,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.24, mean=-0.1697, std=2.537, absmax=10.35 +2025-10-31 16:47:42,818 ERROR: Encountered non-finite generator loss at iter 4250; skipping update. +2025-10-31 16:47:42,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,820 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:42,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:42,823 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:42,824 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:42,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.59, mean=-0.3736, std=3.314, absmax=13.26 +2025-10-31 16:47:42,826 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.283, mean=-0.3315, std=2.794, absmax=10.57 +2025-10-31 16:47:43,317 ERROR: Encountered non-finite generator loss at iter 4251; skipping update. +2025-10-31 16:47:43,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:43,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:43,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=15.28, mean=-0.109, std=3.408, absmax=15.28 +2025-10-31 16:47:43,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=12.39, mean=-0.127, std=2.738, absmax=12.39 +2025-10-31 16:47:43,819 ERROR: Encountered non-finite generator loss at iter 4252; skipping update. +2025-10-31 16:47:43,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:43,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:43,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:43,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:43,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.83, mean=-0.2344, std=2.951, absmax=12.83 +2025-10-31 16:47:43,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.609, mean=-0.2313, std=2.426, absmax=10.22 +2025-10-31 16:47:44,320 ERROR: Encountered non-finite generator loss at iter 4253; skipping update. +2025-10-31 16:47:44,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:44,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:44,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.83, mean=-0.162, std=3.038, absmax=14.83 +2025-10-31 16:47:44,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=10.78, mean=-0.1583, std=2.359, absmax=10.78 +2025-10-31 16:47:44,820 ERROR: Encountered non-finite generator loss at iter 4254; skipping update. +2025-10-31 16:47:44,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:44,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:44,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:44,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:44,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.89, mean=-0.2171, std=3.095, absmax=12.89 +2025-10-31 16:47:44,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.612, max=11.63, mean=-0.1549, std=2.731, absmax=11.63 +2025-10-31 16:47:45,319 ERROR: Encountered non-finite generator loss at iter 4255; skipping update. +2025-10-31 16:47:45,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:45,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:45,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=15.58, mean=0.01696, std=3.89, absmax=15.58 +2025-10-31 16:47:45,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=13.45, mean=-0.004867, std=3.196, absmax=13.45 +2025-10-31 16:47:45,820 ERROR: Encountered non-finite generator loss at iter 4256; skipping update. +2025-10-31 16:47:45,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:45,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:45,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:45,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:45,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.63, mean=-0.2109, std=3.095, absmax=13.59 +2025-10-31 16:47:45,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.154, mean=-0.2028, std=2.624, absmax=10.12 +2025-10-31 16:47:46,322 ERROR: Encountered non-finite generator loss at iter 4257; skipping update. +2025-10-31 16:47:46,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:46,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:46,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.01, mean=-0.1858, std=2.994, absmax=12.76 +2025-10-31 16:47:46,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.424, mean=-0.2031, std=2.567, absmax=10.86 +2025-10-31 16:47:46,823 ERROR: Encountered non-finite generator loss at iter 4258; skipping update. +2025-10-31 16:47:46,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:46,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:46,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:46,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:46,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=12.4, mean=-0.1754, std=2.743, absmax=12.4 +2025-10-31 16:47:46,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.357, max=7.88, mean=-0.1475, std=2.22, absmax=8.357 +2025-10-31 16:47:47,324 ERROR: Encountered non-finite generator loss at iter 4259; skipping update. +2025-10-31 16:47:47,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:47,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:47,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.81, mean=-0.04803, std=3.697, absmax=14.81 +2025-10-31 16:47:47,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.06, max=14.52, mean=-0.04629, std=3.318, absmax=14.52 +2025-10-31 16:47:47,825 ERROR: Encountered non-finite generator loss at iter 4260; skipping update. +2025-10-31 16:47:47,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:47,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:47,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:47,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:47,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.81, mean=-0.1388, std=3.066, absmax=13.21 +2025-10-31 16:47:47,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.04, mean=-0.1719, std=2.575, absmax=11.39 +2025-10-31 16:47:48,326 ERROR: Encountered non-finite generator loss at iter 4261; skipping update. +2025-10-31 16:47:48,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,329 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:48,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:48,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.79, mean=-0.2118, std=2.804, absmax=11.79 +2025-10-31 16:47:48,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.482, max=8.833, mean=-0.1969, std=2.325, absmax=9.482 +2025-10-31 16:47:48,826 ERROR: Encountered non-finite generator loss at iter 4262; skipping update. +2025-10-31 16:47:48,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:48,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:48,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:48,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:48,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.68, mean=-0.2994, std=2.696, absmax=12.68 +2025-10-31 16:47:48,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.813, mean=-0.2633, std=2.332, absmax=10.29 +2025-10-31 16:47:49,327 ERROR: Encountered non-finite generator loss at iter 4263; skipping update. +2025-10-31 16:47:49,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:49,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:49,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.85, mean=-0.1564, std=3.726, absmax=14.35 +2025-10-31 16:47:49,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=10.35, mean=-0.1912, std=3.188, absmax=12.2 +2025-10-31 16:47:49,830 ERROR: Encountered non-finite generator loss at iter 4264; skipping update. +2025-10-31 16:47:49,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:49,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:49,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:49,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:49,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.16, mean=0.03918, std=2.789, absmax=12.16 +2025-10-31 16:47:49,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.978, max=8.49, mean=0.009792, std=2.273, absmax=8.978 +2025-10-31 16:47:50,331 ERROR: Encountered non-finite generator loss at iter 4265; skipping update. +2025-10-31 16:47:50,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:50,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:50,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.84, mean=-0.0326, std=3.087, absmax=13.88 +2025-10-31 16:47:50,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.77, max=13.42, mean=-0.05306, std=2.639, absmax=13.42 +2025-10-31 16:47:50,833 ERROR: Encountered non-finite generator loss at iter 4266; skipping update. +2025-10-31 16:47:50,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:50,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:50,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:50,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:50,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.86, mean=0.08141, std=3.118, absmax=11.89 +2025-10-31 16:47:50,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.29, mean=0.06064, std=2.621, absmax=10.29 +2025-10-31 16:47:51,334 ERROR: Encountered non-finite generator loss at iter 4267; skipping update. +2025-10-31 16:47:51,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:51,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:51,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.41, mean=-0.2007, std=2.991, absmax=13.41 +2025-10-31 16:47:51,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.334, max=9.669, mean=-0.1459, std=2.475, absmax=9.669 +2025-10-31 16:47:51,836 ERROR: Encountered non-finite generator loss at iter 4268; skipping update. +2025-10-31 16:47:51,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:51,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:51,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:51,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:51,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.52, max=9.399, mean=-0.243, std=2.344, absmax=10.52 +2025-10-31 16:47:51,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.537, max=7.993, mean=-0.2329, std=2.195, absmax=9.537 +2025-10-31 16:47:52,337 ERROR: Encountered non-finite generator loss at iter 4269; skipping update. +2025-10-31 16:47:52,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:52,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:52,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.28, mean=-0.2851, std=3.038, absmax=13.81 +2025-10-31 16:47:52,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=8.684, mean=-0.2411, std=2.363, absmax=9.502 +2025-10-31 16:47:52,836 ERROR: Encountered non-finite generator loss at iter 4270; skipping update. +2025-10-31 16:47:52,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:52,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:52,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:52,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:52,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.49, mean=-0.1367, std=2.594, absmax=11.88 +2025-10-31 16:47:52,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.446, max=9.984, mean=-0.1622, std=2.206, absmax=9.984 +2025-10-31 16:47:53,338 ERROR: Encountered non-finite generator loss at iter 4271; skipping update. +2025-10-31 16:47:53,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:53,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:53,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=18.26, mean=-0.05237, std=3.384, absmax=18.26 +2025-10-31 16:47:53,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=12.59, mean=-0.07544, std=2.929, absmax=12.59 +2025-10-31 16:47:53,840 ERROR: Encountered non-finite generator loss at iter 4272; skipping update. +2025-10-31 16:47:53,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:53,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:53,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:53,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:53,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=18.54, mean=0.06961, std=3.082, absmax=18.54 +2025-10-31 16:47:53,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=12.97, mean=0.04348, std=2.524, absmax=12.97 +2025-10-31 16:47:54,345 ERROR: Encountered non-finite generator loss at iter 4273; skipping update. +2025-10-31 16:47:54,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:54,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:54,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.12, mean=-0.1552, std=3.204, absmax=14 +2025-10-31 16:47:54,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=10.77, mean=-0.2123, std=2.764, absmax=12.24 +2025-10-31 16:47:54,846 ERROR: Encountered non-finite generator loss at iter 4274; skipping update. +2025-10-31 16:47:54,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:54,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:54,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:54,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:54,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.97, mean=-0.195, std=3.33, absmax=12.41 +2025-10-31 16:47:54,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=9.488, mean=-0.2696, std=3.105, absmax=12.14 +2025-10-31 16:47:55,350 ERROR: Encountered non-finite generator loss at iter 4275; skipping update. +2025-10-31 16:47:55,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:55,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:55,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=11.56, mean=-0.2809, std=3.217, absmax=14.47 +2025-10-31 16:47:55,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.933, mean=-0.2969, std=2.696, absmax=10.84 +2025-10-31 16:47:55,855 ERROR: Encountered non-finite generator loss at iter 4276; skipping update. +2025-10-31 16:47:55,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:55,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:55,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:55,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:55,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.62, mean=0.01185, std=2.966, absmax=14.62 +2025-10-31 16:47:55,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.976, max=10.75, mean=-0.02472, std=2.435, absmax=10.75 +2025-10-31 16:47:56,360 ERROR: Encountered non-finite generator loss at iter 4277; skipping update. +2025-10-31 16:47:56,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:56,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:56,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=10.51, mean=-0.1629, std=2.326, absmax=12.25 +2025-10-31 16:47:56,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=7.954, mean=-0.1055, std=2.102, absmax=10.52 +2025-10-31 16:47:56,863 ERROR: Encountered non-finite generator loss at iter 4278; skipping update. +2025-10-31 16:47:56,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:56,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:56,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:56,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:56,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.73, mean=-0.009265, std=3.063, absmax=14.73 +2025-10-31 16:47:56,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.12, mean=-0.01687, std=2.638, absmax=11.12 +2025-10-31 16:47:57,366 ERROR: Encountered non-finite generator loss at iter 4279; skipping update. +2025-10-31 16:47:57,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:57,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:57,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.79, mean=0.1132, std=3.254, absmax=13.79 +2025-10-31 16:47:57,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=11.16, mean=0.07236, std=2.821, absmax=11.16 +2025-10-31 16:47:57,871 ERROR: Encountered non-finite generator loss at iter 4280; skipping update. +2025-10-31 16:47:57,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:57,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:57,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:57,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:57,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.21, mean=-0.2151, std=2.781, absmax=12.19 +2025-10-31 16:47:57,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.383, max=8.842, mean=-0.1906, std=2.259, absmax=9.383 +2025-10-31 16:47:58,373 ERROR: Encountered non-finite generator loss at iter 4281; skipping update. +2025-10-31 16:47:58,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:58,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:58,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=14.8, mean=-0.09197, std=2.935, absmax=14.8 +2025-10-31 16:47:58,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.443, max=10.85, mean=-0.07499, std=2.447, absmax=10.85 +2025-10-31 16:47:58,876 ERROR: Encountered non-finite generator loss at iter 4282; skipping update. +2025-10-31 16:47:58,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:58,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:58,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:58,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:58,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=17.65, mean=-0.1331, std=3.506, absmax=17.65 +2025-10-31 16:47:58,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.78, max=14.96, mean=-0.1292, std=2.923, absmax=14.96 +2025-10-31 16:47:59,379 ERROR: Encountered non-finite generator loss at iter 4283; skipping update. +2025-10-31 16:47:59,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:59,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:59,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=16.64, mean=-0.2135, std=3.212, absmax=16.64 +2025-10-31 16:47:59,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.677, mean=-0.2006, std=2.494, absmax=10.65 +2025-10-31 16:47:59,884 ERROR: Encountered non-finite generator loss at iter 4284; skipping update. +2025-10-31 16:47:59,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:47:59,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:47:59,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:47:59,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:47:59,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=14.14, mean=-0.003123, std=2.853, absmax=14.14 +2025-10-31 16:47:59,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=12.27, mean=-0.0002233, std=2.63, absmax=12.27 +2025-10-31 16:48:00,385 ERROR: Encountered non-finite generator loss at iter 4285; skipping update. +2025-10-31 16:48:00,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:00,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:00,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=13.6, mean=-0.2055, std=2.985, absmax=13.6 +2025-10-31 16:48:00,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=10.15, mean=-0.2313, std=2.454, absmax=10.59 +2025-10-31 16:48:00,889 ERROR: Encountered non-finite generator loss at iter 4286; skipping update. +2025-10-31 16:48:00,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:00,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:00,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:00,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:00,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=10.58, mean=-0.1832, std=2.46, absmax=12.97 +2025-10-31 16:48:00,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.405, max=9.231, mean=-0.2147, std=2.181, absmax=9.405 +2025-10-31 16:48:01,391 ERROR: Encountered non-finite generator loss at iter 4287; skipping update. +2025-10-31 16:48:01,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,394 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,394 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:01,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:01,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.28, mean=-0.104, std=2.726, absmax=12.28 +2025-10-31 16:48:01,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.384, mean=-0.129, std=2.343, absmax=10.18 +2025-10-31 16:48:01,889 ERROR: Encountered non-finite generator loss at iter 4288; skipping update. +2025-10-31 16:48:01,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:01,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:01,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:01,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:01,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.37, mean=-0.141, std=3.318, absmax=14.37 +2025-10-31 16:48:01,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.828, mean=-0.1386, std=2.718, absmax=11.82 +2025-10-31 16:48:02,392 ERROR: Encountered non-finite generator loss at iter 4289; skipping update. +2025-10-31 16:48:02,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:02,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:02,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=13.8, mean=-0.1441, std=2.953, absmax=15.04 +2025-10-31 16:48:02,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.28, mean=-0.1205, std=2.549, absmax=10.43 +2025-10-31 16:48:02,896 ERROR: Encountered non-finite generator loss at iter 4290; skipping update. +2025-10-31 16:48:02,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:02,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:02,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:02,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:02,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.89, mean=0.0112, std=2.851, absmax=11.89 +2025-10-31 16:48:02,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.176, max=10.21, mean=0.02472, std=2.417, absmax=10.21 +2025-10-31 16:48:03,398 ERROR: Encountered non-finite generator loss at iter 4291; skipping update. +2025-10-31 16:48:03,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:03,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:03,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.15, mean=-0.233, std=3.373, absmax=14.15 +2025-10-31 16:48:03,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=10.48, mean=-0.2171, std=2.743, absmax=12.09 +2025-10-31 16:48:03,900 ERROR: Encountered non-finite generator loss at iter 4292; skipping update. +2025-10-31 16:48:03,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:03,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:03,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:03,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:03,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=14.04, mean=-0.1988, std=3.533, absmax=14.04 +2025-10-31 16:48:03,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=11.43, mean=-0.1895, std=3.12, absmax=12.07 +2025-10-31 16:48:04,403 ERROR: Encountered non-finite generator loss at iter 4293; skipping update. +2025-10-31 16:48:04,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:04,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:04,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.57, mean=-0.1148, std=3.132, absmax=14.57 +2025-10-31 16:48:04,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=10.78, mean=-0.09337, std=2.63, absmax=10.78 +2025-10-31 16:48:04,905 ERROR: Encountered non-finite generator loss at iter 4294; skipping update. +2025-10-31 16:48:04,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,908 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:04,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:04,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:04,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:04,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.9, max=17.95, mean=0.06521, std=3.516, absmax=17.95 +2025-10-31 16:48:04,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=14.2, mean=-0.0007839, std=2.901, absmax=14.2 +2025-10-31 16:48:05,408 ERROR: Encountered non-finite generator loss at iter 4295; skipping update. +2025-10-31 16:48:05,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,410 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:05,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:05,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.01, mean=0.0107, std=3.57, absmax=13.53 +2025-10-31 16:48:05,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.36, max=10.72, mean=-0.0286, std=2.933, absmax=13.36 +2025-10-31 16:48:05,908 ERROR: Encountered non-finite generator loss at iter 4296; skipping update. +2025-10-31 16:48:05,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,912 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,913 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:05,914 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:05,915 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:05,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:05,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.87, mean=-0.006477, std=2.905, absmax=12.87 +2025-10-31 16:48:05,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.56, max=10.19, mean=0.006579, std=2.393, absmax=10.19 +2025-10-31 16:48:06,410 ERROR: Encountered non-finite generator loss at iter 4297; skipping update. +2025-10-31 16:48:06,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:06,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:06,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.4, mean=-0.2393, std=3.132, absmax=13.19 +2025-10-31 16:48:06,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=8.989, mean=-0.2585, std=2.588, absmax=9.103 +2025-10-31 16:48:06,913 ERROR: Encountered non-finite generator loss at iter 4298; skipping update. +2025-10-31 16:48:06,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:06,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:06,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:06,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:06,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.45, mean=-0.1408, std=2.887, absmax=13.48 +2025-10-31 16:48:06,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.475, max=10.53, mean=-0.1726, std=2.361, absmax=10.53 +2025-10-31 16:48:07,416 ERROR: Encountered non-finite generator loss at iter 4299; skipping update. +2025-10-31 16:48:07,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:07,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:07,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.8, mean=-0.1288, std=2.912, absmax=15.8 +2025-10-31 16:48:07,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.653, max=10.71, mean=-0.1281, std=2.294, absmax=10.71 +2025-10-31 16:48:07,919 ERROR: Encountered non-finite generator loss at iter 4300; skipping update. +2025-10-31 16:48:07,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,923 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:07,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:07,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:07,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:07,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=15.32, mean=-0.1448, std=2.875, absmax=15.32 +2025-10-31 16:48:07,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.145, max=12.48, mean=-0.1479, std=2.485, absmax=12.48 +2025-10-31 16:48:07,930 INFO: [29..][epoch: 0, step: 4,300, lr:(1.500e-04,)] [eta: 1 day, 18:00:22, time (data): 0.501 (0.000)] +2025-10-31 16:48:08,422 ERROR: Encountered non-finite generator loss at iter 4301; skipping update. +2025-10-31 16:48:08,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:08,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:08,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.91, mean=-0.08012, std=2.977, absmax=13.07 +2025-10-31 16:48:08,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.534, max=8.945, mean=-0.08201, std=2.396, absmax=9.534 +2025-10-31 16:48:08,925 ERROR: Encountered non-finite generator loss at iter 4302; skipping update. +2025-10-31 16:48:08,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:08,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:08,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:08,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:08,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.06, mean=-0.2537, std=2.967, absmax=14.06 +2025-10-31 16:48:08,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.75, mean=-0.2224, std=2.541, absmax=11.18 +2025-10-31 16:48:09,427 ERROR: Encountered non-finite generator loss at iter 4303; skipping update. +2025-10-31 16:48:09,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:09,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:09,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.78, mean=-0.1572, std=2.52, absmax=13.09 +2025-10-31 16:48:09,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.589, mean=-0.08269, std=2.254, absmax=10.2 +2025-10-31 16:48:09,929 ERROR: Encountered non-finite generator loss at iter 4304; skipping update. +2025-10-31 16:48:09,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:09,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:09,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:09,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:09,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=13.24, mean=-0.1828, std=3.88, absmax=15.65 +2025-10-31 16:48:09,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.92, max=10.74, mean=-0.1612, std=3.269, absmax=13.92 +2025-10-31 16:48:10,431 ERROR: Encountered non-finite generator loss at iter 4305; skipping update. +2025-10-31 16:48:10,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:10,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:10,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.57, mean=-0.08492, std=3.305, absmax=14.57 +2025-10-31 16:48:10,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=12.19, mean=-0.05831, std=2.779, absmax=12.19 +2025-10-31 16:48:10,931 ERROR: Encountered non-finite generator loss at iter 4306; skipping update. +2025-10-31 16:48:10,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:10,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:10,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:10,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:10,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.05, mean=-0.05824, std=3.275, absmax=14.05 +2025-10-31 16:48:10,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.469, max=12.41, mean=-0.07211, std=2.804, absmax=12.41 +2025-10-31 16:48:11,433 ERROR: Encountered non-finite generator loss at iter 4307; skipping update. +2025-10-31 16:48:11,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:11,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:11,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=11.9, mean=-0.3765, std=3.282, absmax=14.54 +2025-10-31 16:48:11,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=9.18, mean=-0.3511, std=2.727, absmax=11.04 +2025-10-31 16:48:11,934 ERROR: Encountered non-finite generator loss at iter 4308; skipping update. +2025-10-31 16:48:11,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:11,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:11,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:11,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:11,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.56, mean=0.005935, std=3.239, absmax=14.56 +2025-10-31 16:48:11,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.03, mean=-0.03241, std=2.7, absmax=11.03 +2025-10-31 16:48:12,438 ERROR: Encountered non-finite generator loss at iter 4309; skipping update. +2025-10-31 16:48:12,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:12,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:12,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.9, mean=-0.03396, std=3.634, absmax=13.9 +2025-10-31 16:48:12,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=11.13, mean=-0.04298, std=2.954, absmax=12.44 +2025-10-31 16:48:12,938 ERROR: Encountered non-finite generator loss at iter 4310; skipping update. +2025-10-31 16:48:12,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:12,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:12,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:12,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:12,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.78, mean=-0.319, std=3.02, absmax=12.78 +2025-10-31 16:48:12,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=8.211, mean=-0.2608, std=2.42, absmax=9.281 +2025-10-31 16:48:13,441 ERROR: Encountered non-finite generator loss at iter 4311; skipping update. +2025-10-31 16:48:13,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:13,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:13,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.52, mean=-0.1444, std=3.68, absmax=12.7 +2025-10-31 16:48:13,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.16, mean=-0.1605, std=2.928, absmax=10.16 +2025-10-31 16:48:13,943 ERROR: Encountered non-finite generator loss at iter 4312; skipping update. +2025-10-31 16:48:13,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,946 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,947 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:13,948 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:13,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:13,950 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:13,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=10.65, mean=-0.2746, std=3.032, absmax=14.58 +2025-10-31 16:48:13,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.078, mean=-0.2195, std=2.43, absmax=10.88 +2025-10-31 16:48:14,444 ERROR: Encountered non-finite generator loss at iter 4313; skipping update. +2025-10-31 16:48:14,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:14,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:14,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.19, mean=-0.03525, std=3.333, absmax=14.19 +2025-10-31 16:48:14,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.27, max=10.88, mean=-0.01004, std=2.863, absmax=13.27 +2025-10-31 16:48:14,947 ERROR: Encountered non-finite generator loss at iter 4314; skipping update. +2025-10-31 16:48:14,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:14,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:14,956 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:14,957 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:14,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.07, mean=-0.2951, std=2.913, absmax=14.04 +2025-10-31 16:48:14,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=8.892, mean=-0.2917, std=2.514, absmax=11.69 +2025-10-31 16:48:15,451 ERROR: Encountered non-finite generator loss at iter 4315; skipping update. +2025-10-31 16:48:15,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:15,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:15,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.43, mean=0.04168, std=3.225, absmax=13.43 +2025-10-31 16:48:15,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=11.92, mean=0.054, std=2.685, absmax=11.92 +2025-10-31 16:48:15,955 ERROR: Encountered non-finite generator loss at iter 4316; skipping update. +2025-10-31 16:48:15,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:15,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:15,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:15,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:15,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.5, mean=-0.2842, std=3.132, absmax=13.5 +2025-10-31 16:48:15,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.494, max=8.393, mean=-0.2761, std=2.437, absmax=9.494 +2025-10-31 16:48:16,458 ERROR: Encountered non-finite generator loss at iter 4317; skipping update. +2025-10-31 16:48:16,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:16,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:16,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.33, mean=-0.1637, std=2.785, absmax=15.33 +2025-10-31 16:48:16,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.52, max=8.484, mean=-0.1699, std=2.271, absmax=9.52 +2025-10-31 16:48:16,962 ERROR: Encountered non-finite generator loss at iter 4318; skipping update. +2025-10-31 16:48:16,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:16,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:16,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:16,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:16,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.89, mean=-0.1313, std=2.91, absmax=12.22 +2025-10-31 16:48:16,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.45, mean=-0.1768, std=2.499, absmax=10.72 +2025-10-31 16:48:17,465 ERROR: Encountered non-finite generator loss at iter 4319; skipping update. +2025-10-31 16:48:17,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:17,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:17,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.45, mean=-0.009562, std=3.409, absmax=14.45 +2025-10-31 16:48:17,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.468, mean=-0.04989, std=2.768, absmax=10.46 +2025-10-31 16:48:17,966 ERROR: Encountered non-finite generator loss at iter 4320; skipping update. +2025-10-31 16:48:17,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:17,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:17,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:17,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:17,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.19, mean=-0.161, std=2.594, absmax=13.08 +2025-10-31 16:48:17,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.019, max=8.76, mean=-0.1347, std=2.151, absmax=9.019 +2025-10-31 16:48:18,468 ERROR: Encountered non-finite generator loss at iter 4321; skipping update. +2025-10-31 16:48:18,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:18,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:18,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.27, mean=-0.1219, std=3.049, absmax=14.27 +2025-10-31 16:48:18,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.85, mean=-0.1278, std=2.504, absmax=10.25 +2025-10-31 16:48:18,968 ERROR: Encountered non-finite generator loss at iter 4322; skipping update. +2025-10-31 16:48:18,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,970 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:18,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:18,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:18,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:18,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.03, mean=0.1269, std=3.319, absmax=13.03 +2025-10-31 16:48:18,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.971, max=11.66, mean=0.0954, std=2.817, absmax=11.66 +2025-10-31 16:48:19,468 ERROR: Encountered non-finite generator loss at iter 4323; skipping update. +2025-10-31 16:48:19,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:19,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:19,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.6, mean=-0.3483, std=3.198, absmax=13.6 +2025-10-31 16:48:19,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.24, mean=-0.3263, std=2.558, absmax=10.15 +2025-10-31 16:48:19,969 ERROR: Encountered non-finite generator loss at iter 4324; skipping update. +2025-10-31 16:48:19,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:19,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:19,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:19,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:19,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.15, mean=-0.2371, std=2.827, absmax=11.75 +2025-10-31 16:48:19,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=9.072, mean=-0.2229, std=2.42, absmax=10.39 +2025-10-31 16:48:20,471 ERROR: Encountered non-finite generator loss at iter 4325; skipping update. +2025-10-31 16:48:20,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,476 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,477 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:20,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:20,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.55, mean=-0.132, std=3.166, absmax=15.55 +2025-10-31 16:48:20,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.752, mean=-0.1292, std=2.631, absmax=10.75 +2025-10-31 16:48:20,971 ERROR: Encountered non-finite generator loss at iter 4326; skipping update. +2025-10-31 16:48:20,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:20,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:20,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:20,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:20,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.94, mean=0.06808, std=3.314, absmax=13.94 +2025-10-31 16:48:20,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.79, mean=0.01958, std=2.871, absmax=10.79 +2025-10-31 16:48:21,471 ERROR: Encountered non-finite generator loss at iter 4327; skipping update. +2025-10-31 16:48:21,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,476 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,477 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:21,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:21,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.44, mean=-0.1406, std=2.989, absmax=14.44 +2025-10-31 16:48:21,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=11.34, mean=-0.1383, std=2.386, absmax=11.34 +2025-10-31 16:48:21,972 ERROR: Encountered non-finite generator loss at iter 4328; skipping update. +2025-10-31 16:48:21,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:21,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:21,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:21,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:21,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.16, mean=0.1366, std=3.632, absmax=15.16 +2025-10-31 16:48:21,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=14.82, mean=0.1453, std=3.276, absmax=14.82 +2025-10-31 16:48:22,475 ERROR: Encountered non-finite generator loss at iter 4329; skipping update. +2025-10-31 16:48:22,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:22,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:22,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=11.04, mean=-0.2401, std=2.528, absmax=13.9 +2025-10-31 16:48:22,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=8.273, mean=-0.231, std=2.184, absmax=12.18 +2025-10-31 16:48:22,978 ERROR: Encountered non-finite generator loss at iter 4330; skipping update. +2025-10-31 16:48:22,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:22,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:22,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:22,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:22,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.14, mean=-0.01636, std=2.617, absmax=12.14 +2025-10-31 16:48:22,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=8.863, mean=-0.01295, std=2.227, absmax=9.721 +2025-10-31 16:48:23,479 ERROR: Encountered non-finite generator loss at iter 4331; skipping update. +2025-10-31 16:48:23,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,481 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:23,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:23,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.36, mean=-0.1249, std=2.832, absmax=13.36 +2025-10-31 16:48:23,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.946, mean=-0.1132, std=2.302, absmax=10.92 +2025-10-31 16:48:23,980 ERROR: Encountered non-finite generator loss at iter 4332; skipping update. +2025-10-31 16:48:23,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:23,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:23,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:23,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:23,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.6, mean=-0.2239, std=3.07, absmax=12.6 +2025-10-31 16:48:23,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=9.062, mean=-0.2447, std=2.477, absmax=9.85 +2025-10-31 16:48:24,482 ERROR: Encountered non-finite generator loss at iter 4333; skipping update. +2025-10-31 16:48:24,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:24,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:24,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.15, mean=-0.2048, std=2.95, absmax=13.92 +2025-10-31 16:48:24,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.667, mean=-0.1841, std=2.393, absmax=10.05 +2025-10-31 16:48:24,982 ERROR: Encountered non-finite generator loss at iter 4334; skipping update. +2025-10-31 16:48:24,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:24,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:24,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:24,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:24,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=16.98, mean=-0.08452, std=3.061, absmax=16.98 +2025-10-31 16:48:24,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.621, max=10.02, mean=-0.1114, std=2.526, absmax=10.02 +2025-10-31 16:48:25,483 ERROR: Encountered non-finite generator loss at iter 4335; skipping update. +2025-10-31 16:48:25,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:25,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:25,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.65, mean=-0.004316, std=2.944, absmax=13.65 +2025-10-31 16:48:25,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=11.38, mean=-0.002865, std=2.687, absmax=11.38 +2025-10-31 16:48:25,984 ERROR: Encountered non-finite generator loss at iter 4336; skipping update. +2025-10-31 16:48:25,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:25,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:25,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:25,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:25,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.36, mean=-0.03503, std=3.387, absmax=14.36 +2025-10-31 16:48:25,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=13.06, mean=-0.03013, std=2.922, absmax=13.06 +2025-10-31 16:48:26,487 ERROR: Encountered non-finite generator loss at iter 4337; skipping update. +2025-10-31 16:48:26,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:26,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:26,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=8.763, mean=-0.355, std=2.902, absmax=13.96 +2025-10-31 16:48:26,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=8.467, mean=-0.2537, std=2.685, absmax=11.6 +2025-10-31 16:48:26,988 ERROR: Encountered non-finite generator loss at iter 4338; skipping update. +2025-10-31 16:48:26,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:26,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:26,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:26,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:26,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.18, mean=-0.2196, std=2.423, absmax=13.31 +2025-10-31 16:48:26,997 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.097, max=9.119, mean=-0.2068, std=2.095, absmax=9.119 +2025-10-31 16:48:27,489 ERROR: Encountered non-finite generator loss at iter 4339; skipping update. +2025-10-31 16:48:27,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:27,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:27,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:27,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:27,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:27,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.71, max=13.25, mean=-0.2087, std=2.691, absmax=16.71 +2025-10-31 16:48:27,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.332, mean=-0.2074, std=2.401, absmax=10.46 +2025-10-31 16:48:27,992 ERROR: Encountered non-finite generator loss at iter 4340; skipping update. +2025-10-31 16:48:27,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:27,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:27,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:27,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:28,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:28,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:28,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.51, mean=-0.171, std=3.089, absmax=13.51 +2025-10-31 16:48:28,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.71, mean=-0.1763, std=2.588, absmax=10.85 +2025-10-31 16:48:28,495 ERROR: Encountered non-finite generator loss at iter 4341; skipping update. +2025-10-31 16:48:28,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:28,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:28,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:28,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:28,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:28,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:28,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:28,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:28,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.1, mean=-0.1834, std=3.325, absmax=13.1 +2025-10-31 16:48:28,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.238, mean=-0.1974, std=2.766, absmax=10.65 +2025-10-31 16:48:28,998 ERROR: Encountered non-finite generator loss at iter 4342; skipping update. +2025-10-31 16:48:28,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:29,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:29,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.49, mean=-0.08928, std=3.081, absmax=13.49 +2025-10-31 16:48:29,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=9.331, mean=-0.1067, std=2.505, absmax=9.977 +2025-10-31 16:48:29,501 ERROR: Encountered non-finite generator loss at iter 4343; skipping update. +2025-10-31 16:48:29,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:29,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:29,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:29,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:29,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.51, mean=-0.1738, std=3.052, absmax=13.38 +2025-10-31 16:48:29,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=8.551, mean=-0.1257, std=2.456, absmax=11.11 +2025-10-31 16:48:30,003 ERROR: Encountered non-finite generator loss at iter 4344; skipping update. +2025-10-31 16:48:30,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:30,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:30,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.21, mean=-0.05879, std=3.18, absmax=14.21 +2025-10-31 16:48:30,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.676, mean=-0.0809, std=2.624, absmax=10.98 +2025-10-31 16:48:30,506 ERROR: Encountered non-finite generator loss at iter 4345; skipping update. +2025-10-31 16:48:30,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:30,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:30,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:30,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:30,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=15.25, mean=-0.2452, std=2.685, absmax=15.25 +2025-10-31 16:48:30,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.742, mean=-0.2122, std=2.16, absmax=10.05 +2025-10-31 16:48:31,007 ERROR: Encountered non-finite generator loss at iter 4346; skipping update. +2025-10-31 16:48:31,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:31,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:31,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=14.98, mean=0.03237, std=3.072, absmax=14.98 +2025-10-31 16:48:31,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.639, max=9.37, mean=-0.001028, std=2.408, absmax=9.639 +2025-10-31 16:48:31,510 ERROR: Encountered non-finite generator loss at iter 4347; skipping update. +2025-10-31 16:48:31,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:31,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:31,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:31,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:31,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=17.91, mean=-0.1257, std=3.468, absmax=17.91 +2025-10-31 16:48:31,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=12.65, mean=-0.146, std=2.735, absmax=12.65 +2025-10-31 16:48:32,011 ERROR: Encountered non-finite generator loss at iter 4348; skipping update. +2025-10-31 16:48:32,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,014 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,015 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,016 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,018 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:32,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:32,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.83, mean=-0.1042, std=2.789, absmax=12.81 +2025-10-31 16:48:32,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.881, max=9.503, mean=-0.1004, std=2.361, absmax=9.503 +2025-10-31 16:48:32,514 ERROR: Encountered non-finite generator loss at iter 4349; skipping update. +2025-10-31 16:48:32,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,517 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:32,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:32,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:32,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:32,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.07, max=11.93, mean=-0.08951, std=3.244, absmax=16.07 +2025-10-31 16:48:32,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=9.058, mean=-0.1005, std=2.666, absmax=12.82 +2025-10-31 16:48:33,011 ERROR: Encountered non-finite generator loss at iter 4350; skipping update. +2025-10-31 16:48:33,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,014 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,015 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,017 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:33,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:33,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.28, mean=-0.2169, std=2.922, absmax=13.18 +2025-10-31 16:48:33,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.996, mean=-0.1867, std=2.624, absmax=10.76 +2025-10-31 16:48:33,514 ERROR: Encountered non-finite generator loss at iter 4351; skipping update. +2025-10-31 16:48:33,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:33,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:33,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:33,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:33,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.76, mean=-0.174, std=2.457, absmax=12.76 +2025-10-31 16:48:33,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.952, max=9.892, mean=-0.1666, std=2.045, absmax=9.892 +2025-10-31 16:48:34,018 ERROR: Encountered non-finite generator loss at iter 4352; skipping update. +2025-10-31 16:48:34,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:34,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:34,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=17.45, mean=-0.3478, std=3.047, absmax=17.45 +2025-10-31 16:48:34,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.38, mean=-0.3078, std=2.428, absmax=12.38 +2025-10-31 16:48:34,520 ERROR: Encountered non-finite generator loss at iter 4353; skipping update. +2025-10-31 16:48:34,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:34,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:34,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:34,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:34,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.25, mean=-0.1098, std=3.145, absmax=13.25 +2025-10-31 16:48:34,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.762, max=10.13, mean=-0.03646, std=2.61, absmax=10.13 +2025-10-31 16:48:35,025 ERROR: Encountered non-finite generator loss at iter 4354; skipping update. +2025-10-31 16:48:35,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:35,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:35,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=15.17, mean=0.1266, std=3.766, absmax=15.17 +2025-10-31 16:48:35,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=13.4, mean=0.05926, std=3.2, absmax=13.4 +2025-10-31 16:48:35,527 ERROR: Encountered non-finite generator loss at iter 4355; skipping update. +2025-10-31 16:48:35,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:35,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:35,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:35,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:35,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.69, max=12.17, mean=-0.3317, std=2.838, absmax=15.69 +2025-10-31 16:48:35,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.59, max=9.589, mean=-0.3072, std=2.436, absmax=12.59 +2025-10-31 16:48:36,029 ERROR: Encountered non-finite generator loss at iter 4356; skipping update. +2025-10-31 16:48:36,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:36,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:36,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.19, mean=0.05212, std=3.141, absmax=14.19 +2025-10-31 16:48:36,038 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=9.502, mean=0.01335, std=2.405, absmax=9.502 +2025-10-31 16:48:36,530 ERROR: Encountered non-finite generator loss at iter 4357; skipping update. +2025-10-31 16:48:36,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:36,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:36,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:36,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:36,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.85, mean=-0.1843, std=3.557, absmax=13.85 +2025-10-31 16:48:36,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=10.73, mean=-0.189, std=3.063, absmax=12.21 +2025-10-31 16:48:37,034 ERROR: Encountered non-finite generator loss at iter 4358; skipping update. +2025-10-31 16:48:37,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:37,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:37,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.66, mean=-0.2755, std=3.104, absmax=13.66 +2025-10-31 16:48:37,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.197, mean=-0.28, std=2.689, absmax=10.02 +2025-10-31 16:48:37,536 ERROR: Encountered non-finite generator loss at iter 4359; skipping update. +2025-10-31 16:48:37,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,539 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,540 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:37,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:37,544 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:37,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:37,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.68, mean=-0.1768, std=2.763, absmax=13.68 +2025-10-31 16:48:37,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=8.338, mean=-0.2531, std=2.492, absmax=11.26 +2025-10-31 16:48:38,040 ERROR: Encountered non-finite generator loss at iter 4360; skipping update. +2025-10-31 16:48:38,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:38,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:38,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=12.24, mean=-0.3374, std=2.165, absmax=12.24 +2025-10-31 16:48:38,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.106, max=7.021, mean=-0.3205, std=1.947, absmax=9.106 +2025-10-31 16:48:38,543 ERROR: Encountered non-finite generator loss at iter 4361; skipping update. +2025-10-31 16:48:38,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:38,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:38,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:38,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:38,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.35, mean=-0.1621, std=2.896, absmax=13.35 +2025-10-31 16:48:38,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.09, mean=-0.1437, std=2.555, absmax=10.47 +2025-10-31 16:48:39,046 ERROR: Encountered non-finite generator loss at iter 4362; skipping update. +2025-10-31 16:48:39,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:39,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:39,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.28, mean=-0.1993, std=2.668, absmax=13.81 +2025-10-31 16:48:39,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=8.817, mean=-0.1961, std=2.36, absmax=11.33 +2025-10-31 16:48:39,553 ERROR: Encountered non-finite generator loss at iter 4363; skipping update. +2025-10-31 16:48:39,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:39,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:39,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:39,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:39,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.87, mean=-0.2773, std=2.846, absmax=15.87 +2025-10-31 16:48:39,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.156, max=9.707, mean=-0.288, std=2.397, absmax=9.707 +2025-10-31 16:48:40,057 ERROR: Encountered non-finite generator loss at iter 4364; skipping update. +2025-10-31 16:48:40,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:40,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:40,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.48, mean=-0.1722, std=2.933, absmax=13.48 +2025-10-31 16:48:40,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.892, max=8.903, mean=-0.1811, std=2.241, absmax=8.903 +2025-10-31 16:48:40,557 ERROR: Encountered non-finite generator loss at iter 4365; skipping update. +2025-10-31 16:48:40,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:40,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:40,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:40,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:40,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.77, mean=-0.2013, std=2.894, absmax=13.3 +2025-10-31 16:48:40,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.822, max=8.663, mean=-0.2168, std=2.322, absmax=9.822 +2025-10-31 16:48:41,059 ERROR: Encountered non-finite generator loss at iter 4366; skipping update. +2025-10-31 16:48:41,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:41,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:41,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=15.08, mean=-0.005376, std=3.036, absmax=15.08 +2025-10-31 16:48:41,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.21, mean=-0.01645, std=2.427, absmax=10.53 +2025-10-31 16:48:41,563 ERROR: Encountered non-finite generator loss at iter 4367; skipping update. +2025-10-31 16:48:41,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:41,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:41,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:41,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:41,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=15.2, mean=-0.008317, std=3.282, absmax=15.2 +2025-10-31 16:48:41,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.913, max=11.41, mean=-0.0266, std=2.698, absmax=11.41 +2025-10-31 16:48:42,066 ERROR: Encountered non-finite generator loss at iter 4368; skipping update. +2025-10-31 16:48:42,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:42,073 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:42,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=15.56, mean=-0.1947, std=3.107, absmax=15.56 +2025-10-31 16:48:42,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=11.29, mean=-0.1494, std=2.763, absmax=11.76 +2025-10-31 16:48:42,568 ERROR: Encountered non-finite generator loss at iter 4369; skipping update. +2025-10-31 16:48:42,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:42,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:42,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:42,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:42,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.48, mean=0.02328, std=3.034, absmax=13.48 +2025-10-31 16:48:42,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.607, max=11.19, mean=-0.01915, std=2.537, absmax=11.19 +2025-10-31 16:48:43,068 ERROR: Encountered non-finite generator loss at iter 4370; skipping update. +2025-10-31 16:48:43,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:43,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:43,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.7, mean=-0.05335, std=3.103, absmax=13.7 +2025-10-31 16:48:43,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.82, mean=-0.05267, std=2.481, absmax=10.98 +2025-10-31 16:48:43,570 ERROR: Encountered non-finite generator loss at iter 4371; skipping update. +2025-10-31 16:48:43,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:43,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:43,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:43,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:43,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=13.6, mean=-0.07733, std=3.1, absmax=14.06 +2025-10-31 16:48:43,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=9.657, mean=-0.05154, std=2.549, absmax=11.04 +2025-10-31 16:48:44,073 ERROR: Encountered non-finite generator loss at iter 4372; skipping update. +2025-10-31 16:48:44,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:44,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:44,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=12.85, mean=-0.08449, std=3.701, absmax=15.3 +2025-10-31 16:48:44,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=10.95, mean=-0.09072, std=3.08, absmax=11.67 +2025-10-31 16:48:44,576 ERROR: Encountered non-finite generator loss at iter 4373; skipping update. +2025-10-31 16:48:44,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:44,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:44,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:44,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:44,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.06, mean=-0.02085, std=3.209, absmax=13.61 +2025-10-31 16:48:44,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.378, mean=-0.05532, std=2.677, absmax=11.71 +2025-10-31 16:48:45,078 ERROR: Encountered non-finite generator loss at iter 4374; skipping update. +2025-10-31 16:48:45,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:45,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:45,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.83, mean=-0.1974, std=2.827, absmax=12.66 +2025-10-31 16:48:45,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.96, max=8.885, mean=-0.1769, std=2.338, absmax=9.96 +2025-10-31 16:48:45,581 ERROR: Encountered non-finite generator loss at iter 4375; skipping update. +2025-10-31 16:48:45,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:45,588 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:45,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:45,590 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:45,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.4, mean=-0.2475, std=2.804, absmax=12.4 +2025-10-31 16:48:45,592 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.809, max=10.02, mean=-0.2689, std=2.365, absmax=10.02 +2025-10-31 16:48:46,085 ERROR: Encountered non-finite generator loss at iter 4376; skipping update. +2025-10-31 16:48:46,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,089 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:46,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:46,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=13.7, mean=-0.1613, std=2.837, absmax=13.7 +2025-10-31 16:48:46,096 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.055, max=9.768, mean=-0.2145, std=2.413, absmax=9.768 +2025-10-31 16:48:46,588 ERROR: Encountered non-finite generator loss at iter 4377; skipping update. +2025-10-31 16:48:46,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:46,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:46,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:46,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:46,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=14.53, mean=-0.1286, std=2.912, absmax=14.53 +2025-10-31 16:48:46,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.242, max=9.336, mean=-0.1163, std=2.404, absmax=9.336 +2025-10-31 16:48:47,092 ERROR: Encountered non-finite generator loss at iter 4378; skipping update. +2025-10-31 16:48:47,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:47,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:47,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.57, mean=-0.01302, std=2.796, absmax=13.26 +2025-10-31 16:48:47,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=9.308, mean=-0.1023, std=2.263, absmax=11.27 +2025-10-31 16:48:47,596 ERROR: Encountered non-finite generator loss at iter 4379; skipping update. +2025-10-31 16:48:47,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:47,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:47,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:47,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:47,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=15.93, mean=-0.08602, std=2.865, absmax=15.93 +2025-10-31 16:48:47,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.848, max=11.76, mean=-0.03835, std=2.324, absmax=11.76 +2025-10-31 16:48:48,101 ERROR: Encountered non-finite generator loss at iter 4380; skipping update. +2025-10-31 16:48:48,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:48,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:48,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.14, mean=-0.2129, std=2.762, absmax=13.12 +2025-10-31 16:48:48,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.997, max=7.878, mean=-0.2115, std=2.171, absmax=8.997 +2025-10-31 16:48:48,604 ERROR: Encountered non-finite generator loss at iter 4381; skipping update. +2025-10-31 16:48:48,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,608 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:48,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:48,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:48,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:48,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=11.55, mean=-0.1874, std=2.319, absmax=11.55 +2025-10-31 16:48:48,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.704, max=9.164, mean=-0.1713, std=2.039, absmax=9.164 +2025-10-31 16:48:49,107 ERROR: Encountered non-finite generator loss at iter 4382; skipping update. +2025-10-31 16:48:49,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:49,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:49,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.57, mean=-0.09971, std=3.365, absmax=14.12 +2025-10-31 16:48:49,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=11.42, mean=-0.1009, std=2.81, absmax=11.42 +2025-10-31 16:48:49,609 ERROR: Encountered non-finite generator loss at iter 4383; skipping update. +2025-10-31 16:48:49,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:49,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:49,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:49,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:49,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.1, mean=-0.2093, std=2.788, absmax=12.12 +2025-10-31 16:48:49,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.191, max=9.096, mean=-0.2027, std=2.268, absmax=9.191 +2025-10-31 16:48:50,111 ERROR: Encountered non-finite generator loss at iter 4384; skipping update. +2025-10-31 16:48:50,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:50,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:50,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.96, mean=-0.1672, std=2.55, absmax=14.05 +2025-10-31 16:48:50,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.54, max=8.974, mean=-0.1917, std=2.012, absmax=9.54 +2025-10-31 16:48:50,612 ERROR: Encountered non-finite generator loss at iter 4385; skipping update. +2025-10-31 16:48:50,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:50,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:50,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:50,621 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:50,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=16.1, mean=-0.08483, std=3.189, absmax=16.1 +2025-10-31 16:48:50,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.62, mean=-0.05624, std=2.687, absmax=11.62 +2025-10-31 16:48:51,115 ERROR: Encountered non-finite generator loss at iter 4386; skipping update. +2025-10-31 16:48:51,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:51,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:51,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=10.86, mean=-0.2753, std=2.717, absmax=11.5 +2025-10-31 16:48:51,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.893, max=8.085, mean=-0.2455, std=2.351, absmax=9.893 +2025-10-31 16:48:51,620 ERROR: Encountered non-finite generator loss at iter 4387; skipping update. +2025-10-31 16:48:51,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:51,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:51,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:51,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:51,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=16.76, mean=-0.2768, std=3.133, absmax=16.76 +2025-10-31 16:48:51,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.715, max=13.3, mean=-0.3033, std=2.697, absmax=13.3 +2025-10-31 16:48:52,124 ERROR: Encountered non-finite generator loss at iter 4388; skipping update. +2025-10-31 16:48:52,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:52,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:52,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=13.42, mean=-0.1709, std=2.989, absmax=15.41 +2025-10-31 16:48:52,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.76, max=11.57, mean=-0.147, std=2.598, absmax=13.76 +2025-10-31 16:48:52,625 ERROR: Encountered non-finite generator loss at iter 4389; skipping update. +2025-10-31 16:48:52,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:52,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:52,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:52,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:52,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.75, mean=-0.09538, std=3.954, absmax=14.75 +2025-10-31 16:48:52,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=12.94, mean=-0.1302, std=3.314, absmax=12.94 +2025-10-31 16:48:53,126 ERROR: Encountered non-finite generator loss at iter 4390; skipping update. +2025-10-31 16:48:53,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:53,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:53,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.15, mean=-0.209, std=2.911, absmax=13.62 +2025-10-31 16:48:53,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.627, mean=-0.2091, std=2.375, absmax=10.09 +2025-10-31 16:48:53,628 ERROR: Encountered non-finite generator loss at iter 4391; skipping update. +2025-10-31 16:48:53,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:53,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:53,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:53,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:53,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=14.38, mean=-0.238, std=3.32, absmax=14.39 +2025-10-31 16:48:53,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.905, mean=-0.1987, std=2.655, absmax=10.33 +2025-10-31 16:48:54,129 ERROR: Encountered non-finite generator loss at iter 4392; skipping update. +2025-10-31 16:48:54,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:54,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:54,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.02, mean=-0.2896, std=3.153, absmax=12.43 +2025-10-31 16:48:54,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.41, mean=-0.2624, std=2.559, absmax=10.19 +2025-10-31 16:48:54,630 ERROR: Encountered non-finite generator loss at iter 4393; skipping update. +2025-10-31 16:48:54,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:54,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:54,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:54,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:54,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.98, mean=-0.1221, std=2.933, absmax=13.98 +2025-10-31 16:48:54,640 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.32, mean=-0.1047, std=2.428, absmax=10.36 +2025-10-31 16:48:55,131 ERROR: Encountered non-finite generator loss at iter 4394; skipping update. +2025-10-31 16:48:55,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:55,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:55,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.72, mean=-0.43, std=3.398, absmax=13.23 +2025-10-31 16:48:55,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=9.582, mean=-0.4322, std=2.865, absmax=11.74 +2025-10-31 16:48:55,633 ERROR: Encountered non-finite generator loss at iter 4395; skipping update. +2025-10-31 16:48:55,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:55,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:55,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:55,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:55,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=14.45, mean=-0.03241, std=3.236, absmax=14.78 +2025-10-31 16:48:55,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.271, mean=-0.05803, std=2.741, absmax=10.8 +2025-10-31 16:48:56,135 ERROR: Encountered non-finite generator loss at iter 4396; skipping update. +2025-10-31 16:48:56,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:56,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:56,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.01, mean=-0.1241, std=3.055, absmax=14.01 +2025-10-31 16:48:56,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=8.536, mean=-0.1105, std=2.445, absmax=9.876 +2025-10-31 16:48:56,639 ERROR: Encountered non-finite generator loss at iter 4397; skipping update. +2025-10-31 16:48:56,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:56,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:56,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:56,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:56,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.42, mean=-0.1137, std=2.996, absmax=13.91 +2025-10-31 16:48:56,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.395, mean=-0.1376, std=2.585, absmax=11.06 +2025-10-31 16:48:57,141 ERROR: Encountered non-finite generator loss at iter 4398; skipping update. +2025-10-31 16:48:57,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:57,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:57,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.96, mean=-0.2706, std=2.588, absmax=12.28 +2025-10-31 16:48:57,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.27, mean=-0.2284, std=2.287, absmax=10.75 +2025-10-31 16:48:57,643 ERROR: Encountered non-finite generator loss at iter 4399; skipping update. +2025-10-31 16:48:57,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:57,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:57,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:57,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:57,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=15.29, mean=-0.3286, std=3.132, absmax=15.29 +2025-10-31 16:48:57,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.752, mean=-0.316, std=2.566, absmax=10.58 +2025-10-31 16:48:58,146 ERROR: Encountered non-finite generator loss at iter 4400; skipping update. +2025-10-31 16:48:58,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:58,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:58,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.47, mean=-0.02225, std=3.225, absmax=12.47 +2025-10-31 16:48:58,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.974, max=10.91, mean=-0.02837, std=2.691, absmax=10.91 +2025-10-31 16:48:58,154 INFO: [29..][epoch: 0, step: 4,400, lr:(1.500e-04,)] [eta: 1 day, 17:48:48, time (data): 0.502 (0.000)] +2025-10-31 16:48:58,645 ERROR: Encountered non-finite generator loss at iter 4401; skipping update. +2025-10-31 16:48:58,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:58,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:58,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:58,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:58,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.54, mean=0.08169, std=3.354, absmax=13.54 +2025-10-31 16:48:58,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.865, max=11.07, mean=0.09014, std=2.783, absmax=11.07 +2025-10-31 16:48:59,147 ERROR: Encountered non-finite generator loss at iter 4402; skipping update. +2025-10-31 16:48:59,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:59,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:59,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=15.27, mean=-0.2856, std=2.869, absmax=15.27 +2025-10-31 16:48:59,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.608, mean=-0.2392, std=2.395, absmax=10.64 +2025-10-31 16:48:59,649 ERROR: Encountered non-finite generator loss at iter 4403; skipping update. +2025-10-31 16:48:59,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:48:59,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:48:59,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:48:59,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:48:59,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.08, mean=-0.02149, std=3.352, absmax=14.08 +2025-10-31 16:48:59,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.326, max=10.95, mean=-0.08122, std=2.546, absmax=10.95 +2025-10-31 16:49:00,150 ERROR: Encountered non-finite generator loss at iter 4404; skipping update. +2025-10-31 16:49:00,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:00,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:00,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.87, mean=-0.2177, std=2.926, absmax=13.75 +2025-10-31 16:49:00,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=8.756, mean=-0.2153, std=2.401, absmax=10.86 +2025-10-31 16:49:00,651 ERROR: Encountered non-finite generator loss at iter 4405; skipping update. +2025-10-31 16:49:00,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:00,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:00,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:00,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:00,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.74, mean=-0.1199, std=3.168, absmax=12.74 +2025-10-31 16:49:00,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=11.5, mean=-0.1499, std=2.715, absmax=11.5 +2025-10-31 16:49:01,153 ERROR: Encountered non-finite generator loss at iter 4406; skipping update. +2025-10-31 16:49:01,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:01,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:01,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.45, mean=-0.0451, std=2.956, absmax=14.7 +2025-10-31 16:49:01,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=9.277, mean=-0.01541, std=2.459, absmax=11.35 +2025-10-31 16:49:01,656 ERROR: Encountered non-finite generator loss at iter 4407; skipping update. +2025-10-31 16:49:01,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:01,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:01,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:01,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:01,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.82, mean=-0.2275, std=3.135, absmax=12.95 +2025-10-31 16:49:01,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=10.08, mean=-0.243, std=2.638, absmax=11.38 +2025-10-31 16:49:02,158 ERROR: Encountered non-finite generator loss at iter 4408; skipping update. +2025-10-31 16:49:02,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:02,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:02,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=17.33, mean=0.01983, std=2.856, absmax=17.33 +2025-10-31 16:49:02,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.879, max=8.894, mean=0.0292, std=2.389, absmax=8.894 +2025-10-31 16:49:02,659 ERROR: Encountered non-finite generator loss at iter 4409; skipping update. +2025-10-31 16:49:02,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:02,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:02,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:02,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:02,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.89, max=15.04, mean=-0.08455, std=3.244, absmax=15.89 +2025-10-31 16:49:02,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=11.08, mean=-0.1509, std=2.75, absmax=11.08 +2025-10-31 16:49:03,162 ERROR: Encountered non-finite generator loss at iter 4410; skipping update. +2025-10-31 16:49:03,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,165 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:03,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:03,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=11.05, mean=-0.04213, std=2.715, absmax=11.05 +2025-10-31 16:49:03,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.161, max=10.06, mean=-0.06805, std=2.317, absmax=10.06 +2025-10-31 16:49:03,662 ERROR: Encountered non-finite generator loss at iter 4411; skipping update. +2025-10-31 16:49:03,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:03,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:03,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:03,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:03,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.16, mean=-0.2526, std=3.325, absmax=13.97 +2025-10-31 16:49:03,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=10.18, mean=-0.2288, std=2.684, absmax=11.17 +2025-10-31 16:49:04,163 ERROR: Encountered non-finite generator loss at iter 4412; skipping update. +2025-10-31 16:49:04,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:04,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:04,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=12.6, mean=-0.167, std=3.057, absmax=15.12 +2025-10-31 16:49:04,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=9.082, mean=-0.208, std=2.576, absmax=10.97 +2025-10-31 16:49:04,664 ERROR: Encountered non-finite generator loss at iter 4413; skipping update. +2025-10-31 16:49:04,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:04,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:04,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:04,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:04,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.37, mean=-0.1773, std=2.694, absmax=11.37 +2025-10-31 16:49:04,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.399, max=9.098, mean=-0.16, std=2.376, absmax=9.399 +2025-10-31 16:49:05,166 ERROR: Encountered non-finite generator loss at iter 4414; skipping update. +2025-10-31 16:49:05,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:05,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:05,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.84, mean=-0.09034, std=2.921, absmax=12.84 +2025-10-31 16:49:05,176 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.757, max=11.64, mean=-0.03435, std=2.626, absmax=11.64 +2025-10-31 16:49:05,667 ERROR: Encountered non-finite generator loss at iter 4415; skipping update. +2025-10-31 16:49:05,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:05,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:05,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:05,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:05,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=16.64, mean=-0.02573, std=3.409, absmax=16.64 +2025-10-31 16:49:05,678 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=11.02, mean=-0.06289, std=2.72, absmax=11.02 +2025-10-31 16:49:06,169 ERROR: Encountered non-finite generator loss at iter 4416; skipping update. +2025-10-31 16:49:06,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:06,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:06,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=12.44, mean=-0.2902, std=3.234, absmax=15.39 +2025-10-31 16:49:06,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.446, mean=-0.2499, std=2.792, absmax=12.81 +2025-10-31 16:49:06,687 ERROR: Encountered non-finite generator loss at iter 4417; skipping update. +2025-10-31 16:49:06,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:06,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:06,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:06,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:06,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.35, max=13.97, mean=-0.1709, std=3.387, absmax=16.35 +2025-10-31 16:49:06,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=9.644, mean=-0.1466, std=2.73, absmax=12 +2025-10-31 16:49:07,185 ERROR: Encountered non-finite generator loss at iter 4418; skipping update. +2025-10-31 16:49:07,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:07,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:07,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=15.64, mean=-0.1287, std=2.743, absmax=15.64 +2025-10-31 16:49:07,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=13.38, mean=-0.1369, std=2.397, absmax=13.38 +2025-10-31 16:49:07,686 ERROR: Encountered non-finite generator loss at iter 4419; skipping update. +2025-10-31 16:49:07,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:07,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:07,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:07,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:07,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=16.94, mean=-0.2231, std=3.472, absmax=16.94 +2025-10-31 16:49:07,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=10.09, mean=-0.2321, std=2.826, absmax=12.16 +2025-10-31 16:49:08,187 ERROR: Encountered non-finite generator loss at iter 4420; skipping update. +2025-10-31 16:49:08,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:08,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:08,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.2, mean=-0.006246, std=3.509, absmax=14.07 +2025-10-31 16:49:08,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=11.15, mean=-0.02918, std=2.868, absmax=11.15 +2025-10-31 16:49:08,686 ERROR: Encountered non-finite generator loss at iter 4421; skipping update. +2025-10-31 16:49:08,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:08,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:08,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:08,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:08,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.71, mean=-0.3079, std=2.995, absmax=13.71 +2025-10-31 16:49:08,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.294, mean=-0.2986, std=2.503, absmax=10.13 +2025-10-31 16:49:09,186 ERROR: Encountered non-finite generator loss at iter 4422; skipping update. +2025-10-31 16:49:09,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:09,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:09,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.38, mean=-0.1419, std=2.842, absmax=11.93 +2025-10-31 16:49:09,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.416, mean=-0.1453, std=2.244, absmax=10.23 +2025-10-31 16:49:09,687 ERROR: Encountered non-finite generator loss at iter 4423; skipping update. +2025-10-31 16:49:09,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:09,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:09,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:09,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:09,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=14.71, mean=-0.143, std=2.613, absmax=14.71 +2025-10-31 16:49:09,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.46, mean=-0.1457, std=2.306, absmax=11.05 +2025-10-31 16:49:10,186 ERROR: Encountered non-finite generator loss at iter 4424; skipping update. +2025-10-31 16:49:10,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:10,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:10,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=16.37, mean=-0.1261, std=3.229, absmax=16.37 +2025-10-31 16:49:10,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=15.1, mean=-0.2018, std=2.736, absmax=15.1 +2025-10-31 16:49:10,689 ERROR: Encountered non-finite generator loss at iter 4425; skipping update. +2025-10-31 16:49:10,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:10,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:10,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:10,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:10,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=17.07, mean=-0.1629, std=2.904, absmax=17.07 +2025-10-31 16:49:10,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.061, max=12.94, mean=-0.1733, std=2.449, absmax=12.94 +2025-10-31 16:49:11,193 ERROR: Encountered non-finite generator loss at iter 4426; skipping update. +2025-10-31 16:49:11,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:11,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:11,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=16.07, mean=-0.1127, std=3.431, absmax=16.07 +2025-10-31 16:49:11,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=12.14, mean=-0.123, std=2.737, absmax=12.14 +2025-10-31 16:49:11,696 ERROR: Encountered non-finite generator loss at iter 4427; skipping update. +2025-10-31 16:49:11,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:11,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:11,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:11,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:11,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.89, mean=-0.2865, std=2.973, absmax=13.63 +2025-10-31 16:49:11,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.664, max=8.691, mean=-0.2668, std=2.439, absmax=9.664 +2025-10-31 16:49:12,196 ERROR: Encountered non-finite generator loss at iter 4428; skipping update. +2025-10-31 16:49:12,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,198 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,198 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,199 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:12,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:12,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=17.62, mean=0.01025, std=3.309, absmax=17.62 +2025-10-31 16:49:12,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=12.77, mean=-0.003161, std=2.724, absmax=12.77 +2025-10-31 16:49:12,697 ERROR: Encountered non-finite generator loss at iter 4429; skipping update. +2025-10-31 16:49:12,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:12,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:12,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:12,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:12,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.45, mean=-0.1185, std=3.297, absmax=14.45 +2025-10-31 16:49:12,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=13.44, mean=-0.08624, std=2.813, absmax=13.44 +2025-10-31 16:49:13,199 ERROR: Encountered non-finite generator loss at iter 4430; skipping update. +2025-10-31 16:49:13,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:13,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:13,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=16.27, mean=-0.2013, std=2.702, absmax=16.27 +2025-10-31 16:49:13,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.818, max=11.52, mean=-0.1775, std=2.332, absmax=11.52 +2025-10-31 16:49:13,700 ERROR: Encountered non-finite generator loss at iter 4431; skipping update. +2025-10-31 16:49:13,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:13,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:13,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:13,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:13,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.33, mean=-0.1681, std=3.231, absmax=15.33 +2025-10-31 16:49:13,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.51, mean=-0.1815, std=2.712, absmax=11.51 +2025-10-31 16:49:14,200 ERROR: Encountered non-finite generator loss at iter 4432; skipping update. +2025-10-31 16:49:14,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:14,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:14,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.53, mean=-0.09518, std=2.735, absmax=13.7 +2025-10-31 16:49:14,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.334, mean=-0.08145, std=2.375, absmax=10.09 +2025-10-31 16:49:14,702 ERROR: Encountered non-finite generator loss at iter 4433; skipping update. +2025-10-31 16:49:14,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:14,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:14,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:14,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:14,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=15.39, mean=-0.1482, std=3.045, absmax=15.39 +2025-10-31 16:49:14,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=14.9, mean=-0.1323, std=2.734, absmax=14.9 +2025-10-31 16:49:15,202 ERROR: Encountered non-finite generator loss at iter 4434; skipping update. +2025-10-31 16:49:15,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:15,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:15,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.03, mean=-0.3103, std=2.902, absmax=15.03 +2025-10-31 16:49:15,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.188, mean=-0.285, std=2.439, absmax=11.3 +2025-10-31 16:49:15,704 ERROR: Encountered non-finite generator loss at iter 4435; skipping update. +2025-10-31 16:49:15,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:15,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:15,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:15,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:15,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=10.41, mean=-0.1118, std=2.461, absmax=10.53 +2025-10-31 16:49:15,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.643, max=7.459, mean=-0.09977, std=2.048, absmax=8.643 +2025-10-31 16:49:16,205 ERROR: Encountered non-finite generator loss at iter 4436; skipping update. +2025-10-31 16:49:16,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:16,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:16,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.13, mean=-0.199, std=3.293, absmax=14.39 +2025-10-31 16:49:16,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.495, mean=-0.1298, std=2.768, absmax=10.71 +2025-10-31 16:49:16,706 ERROR: Encountered non-finite generator loss at iter 4437; skipping update. +2025-10-31 16:49:16,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:16,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:16,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:16,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:16,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.32, mean=-0.1605, std=2.458, absmax=11.32 +2025-10-31 16:49:16,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.112, max=8.146, mean=-0.2098, std=2.224, absmax=9.112 +2025-10-31 16:49:17,206 ERROR: Encountered non-finite generator loss at iter 4438; skipping update. +2025-10-31 16:49:17,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:17,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:17,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.91, mean=-0.1591, std=3.505, absmax=13.12 +2025-10-31 16:49:17,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=11.39, mean=-0.111, std=3.005, absmax=11.93 +2025-10-31 16:49:17,705 ERROR: Encountered non-finite generator loss at iter 4439; skipping update. +2025-10-31 16:49:17,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:17,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:17,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:17,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:17,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.76, mean=-0.3603, std=2.914, absmax=13.76 +2025-10-31 16:49:17,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.149, mean=-0.3479, std=2.524, absmax=10.54 +2025-10-31 16:49:18,206 ERROR: Encountered non-finite generator loss at iter 4440; skipping update. +2025-10-31 16:49:18,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:18,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:18,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=14.35, mean=-0.2788, std=2.886, absmax=14.63 +2025-10-31 16:49:18,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.37, max=9.549, mean=-0.2498, std=2.521, absmax=12.37 +2025-10-31 16:49:18,706 ERROR: Encountered non-finite generator loss at iter 4441; skipping update. +2025-10-31 16:49:18,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:18,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:18,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:18,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:18,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.55, max=15.32, mean=-0.06023, std=3.426, absmax=16.55 +2025-10-31 16:49:18,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=12.7, mean=-0.06913, std=3.075, absmax=12.7 +2025-10-31 16:49:19,207 ERROR: Encountered non-finite generator loss at iter 4442; skipping update. +2025-10-31 16:49:19,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,209 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:19,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:19,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.73, mean=-0.2067, std=3.016, absmax=13.38 +2025-10-31 16:49:19,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.57, max=9.928, mean=-0.1584, std=2.45, absmax=9.928 +2025-10-31 16:49:19,708 ERROR: Encountered non-finite generator loss at iter 4443; skipping update. +2025-10-31 16:49:19,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:19,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:19,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:19,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:19,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.42, mean=-0.2199, std=3.315, absmax=15.42 +2025-10-31 16:49:19,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.21, max=11.95, mean=-0.2102, std=2.672, absmax=11.95 +2025-10-31 16:49:20,209 ERROR: Encountered non-finite generator loss at iter 4444; skipping update. +2025-10-31 16:49:20,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,211 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:20,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:20,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.83, mean=-0.12, std=2.797, absmax=11.75 +2025-10-31 16:49:20,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=7.997, mean=-0.1783, std=2.355, absmax=10.83 +2025-10-31 16:49:20,709 ERROR: Encountered non-finite generator loss at iter 4445; skipping update. +2025-10-31 16:49:20,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:20,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:20,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:20,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:20,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=14.64, mean=-0.09655, std=3.185, absmax=14.64 +2025-10-31 16:49:20,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=11.52, mean=-0.1493, std=2.66, absmax=11.52 +2025-10-31 16:49:21,210 ERROR: Encountered non-finite generator loss at iter 4446; skipping update. +2025-10-31 16:49:21,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:21,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:21,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.16, mean=0.1441, std=3.578, absmax=15.16 +2025-10-31 16:49:21,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=14.82, mean=0.1407, std=3.226, absmax=14.82 +2025-10-31 16:49:21,713 ERROR: Encountered non-finite generator loss at iter 4447; skipping update. +2025-10-31 16:49:21,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:21,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:21,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:21,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:21,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.47, mean=-0.1215, std=2.607, absmax=12.47 +2025-10-31 16:49:21,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.332, mean=-0.1297, std=2.233, absmax=10.87 +2025-10-31 16:49:22,215 ERROR: Encountered non-finite generator loss at iter 4448; skipping update. +2025-10-31 16:49:22,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:22,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:22,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=10.63, mean=-0.2262, std=2.217, absmax=10.63 +2025-10-31 16:49:22,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.311, max=8.002, mean=-0.2072, std=2.029, absmax=8.311 +2025-10-31 16:49:22,716 ERROR: Encountered non-finite generator loss at iter 4449; skipping update. +2025-10-31 16:49:22,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:22,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:22,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:22,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:22,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=14.54, mean=-0.1398, std=3.086, absmax=15.4 +2025-10-31 16:49:22,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.832, mean=-0.1551, std=2.484, absmax=10.15 +2025-10-31 16:49:23,223 ERROR: Encountered non-finite generator loss at iter 4450; skipping update. +2025-10-31 16:49:23,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:23,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:23,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.94, mean=0.04527, std=3.279, absmax=13.94 +2025-10-31 16:49:23,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=11.26, mean=-0.006477, std=2.685, absmax=11.26 +2025-10-31 16:49:23,725 ERROR: Encountered non-finite generator loss at iter 4451; skipping update. +2025-10-31 16:49:23,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,728 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:23,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:23,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:23,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:23,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.93, mean=-0.1474, std=2.728, absmax=13.93 +2025-10-31 16:49:23,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.379, mean=-0.1187, std=2.204, absmax=10.58 +2025-10-31 16:49:24,231 ERROR: Encountered non-finite generator loss at iter 4452; skipping update. +2025-10-31 16:49:24,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,235 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:24,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:24,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.31, mean=-0.2208, std=3.245, absmax=14.31 +2025-10-31 16:49:24,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=11.35, mean=-0.2129, std=2.833, absmax=11.35 +2025-10-31 16:49:24,735 ERROR: Encountered non-finite generator loss at iter 4453; skipping update. +2025-10-31 16:49:24,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:24,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:24,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:24,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:24,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.6, mean=-0.01149, std=3.321, absmax=14.6 +2025-10-31 16:49:24,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=12.43, mean=-0.04172, std=2.783, absmax=12.43 +2025-10-31 16:49:25,234 ERROR: Encountered non-finite generator loss at iter 4454; skipping update. +2025-10-31 16:49:25,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:25,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:25,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=13.25, mean=-0.2379, std=3.316, absmax=16.54 +2025-10-31 16:49:25,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=12.53, mean=-0.2213, std=2.809, absmax=12.53 +2025-10-31 16:49:25,737 ERROR: Encountered non-finite generator loss at iter 4455; skipping update. +2025-10-31 16:49:25,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:25,739 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:25,740 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:25,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:25,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=13.01, mean=-0.2762, std=3.819, absmax=15.36 +2025-10-31 16:49:25,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.54, max=9.946, mean=-0.2422, std=3.209, absmax=12.54 +2025-10-31 16:49:26,236 ERROR: Encountered non-finite generator loss at iter 4456; skipping update. +2025-10-31 16:49:26,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:26,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:26,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.77, mean=-0.01643, std=3.241, absmax=12.02 +2025-10-31 16:49:26,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=11.41, mean=-0.05351, std=2.98, absmax=11.41 +2025-10-31 16:49:26,737 ERROR: Encountered non-finite generator loss at iter 4457; skipping update. +2025-10-31 16:49:26,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:26,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:26,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:26,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:26,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=16.39, mean=-0.09895, std=3.229, absmax=16.39 +2025-10-31 16:49:26,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=9.91, mean=-0.1221, std=2.636, absmax=11.5 +2025-10-31 16:49:27,239 ERROR: Encountered non-finite generator loss at iter 4458; skipping update. +2025-10-31 16:49:27,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:27,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:27,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.03, mean=-0.01046, std=3.165, absmax=13.65 +2025-10-31 16:49:27,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=9.349, mean=-0.05795, std=2.532, absmax=11.15 +2025-10-31 16:49:27,741 ERROR: Encountered non-finite generator loss at iter 4459; skipping update. +2025-10-31 16:49:27,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:27,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:27,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:27,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:27,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.52, mean=-0.1165, std=3.098, absmax=12.41 +2025-10-31 16:49:27,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=8.293, mean=-0.1635, std=2.643, absmax=11 +2025-10-31 16:49:28,244 ERROR: Encountered non-finite generator loss at iter 4460; skipping update. +2025-10-31 16:49:28,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:28,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:28,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.45, mean=-0.3302, std=2.853, absmax=13.45 +2025-10-31 16:49:28,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.624, max=7.528, mean=-0.2778, std=2.317, absmax=9.624 +2025-10-31 16:49:28,745 ERROR: Encountered non-finite generator loss at iter 4461; skipping update. +2025-10-31 16:49:28,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:28,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:28,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:28,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:28,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=17.53, mean=-0.2423, std=3.034, absmax=17.53 +2025-10-31 16:49:28,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.539, max=12.5, mean=-0.2368, std=2.47, absmax=12.5 +2025-10-31 16:49:29,244 ERROR: Encountered non-finite generator loss at iter 4462; skipping update. +2025-10-31 16:49:29,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:29,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:29,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.83, mean=-0.1917, std=2.669, absmax=12 +2025-10-31 16:49:29,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=9.959, mean=-0.1838, std=2.37, absmax=9.959 +2025-10-31 16:49:29,745 ERROR: Encountered non-finite generator loss at iter 4463; skipping update. +2025-10-31 16:49:29,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:29,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:29,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:29,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:29,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.46, mean=-0.2754, std=3.575, absmax=13.9 +2025-10-31 16:49:29,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.02, mean=-0.28, std=3.034, absmax=11.66 +2025-10-31 16:49:30,247 ERROR: Encountered non-finite generator loss at iter 4464; skipping update. +2025-10-31 16:49:30,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:30,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:30,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.55, max=17.94, mean=-0.007994, std=3.197, absmax=17.94 +2025-10-31 16:49:30,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=12.35, mean=-0.03788, std=2.648, absmax=13.45 +2025-10-31 16:49:30,747 ERROR: Encountered non-finite generator loss at iter 4465; skipping update. +2025-10-31 16:49:30,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:30,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:30,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:30,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:30,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.63, mean=-0.2376, std=3.856, absmax=13.63 +2025-10-31 16:49:30,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=11.59, mean=-0.2708, std=3.26, absmax=11.59 +2025-10-31 16:49:31,248 ERROR: Encountered non-finite generator loss at iter 4466; skipping update. +2025-10-31 16:49:31,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:31,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:31,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.79, mean=-0.003125, std=3.45, absmax=13.79 +2025-10-31 16:49:31,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.958, mean=-0.0187, std=2.886, absmax=10.98 +2025-10-31 16:49:31,751 ERROR: Encountered non-finite generator loss at iter 4467; skipping update. +2025-10-31 16:49:31,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,754 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,756 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:31,757 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:31,758 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:31,759 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:31,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.36, mean=-0.02404, std=3.339, absmax=15.36 +2025-10-31 16:49:31,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=11.78, mean=-0.04806, std=2.679, absmax=11.78 +2025-10-31 16:49:32,255 ERROR: Encountered non-finite generator loss at iter 4468; skipping update. +2025-10-31 16:49:32,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:32,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:32,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.46, max=15.34, mean=-0.3019, std=3.071, absmax=17.46 +2025-10-31 16:49:32,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=13.2, mean=-0.299, std=2.548, absmax=13.2 +2025-10-31 16:49:32,758 ERROR: Encountered non-finite generator loss at iter 4469; skipping update. +2025-10-31 16:49:32,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:32,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:32,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:32,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:32,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=9.445, mean=-0.3161, std=2.531, absmax=11.94 +2025-10-31 16:49:32,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=8.7, mean=-0.2872, std=2.246, absmax=10.99 +2025-10-31 16:49:33,260 ERROR: Encountered non-finite generator loss at iter 4470; skipping update. +2025-10-31 16:49:33,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:33,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:33,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=13.46, mean=-0.2823, std=2.571, absmax=13.46 +2025-10-31 16:49:33,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.403, max=10.11, mean=-0.284, std=2.239, absmax=10.11 +2025-10-31 16:49:33,764 ERROR: Encountered non-finite generator loss at iter 4471; skipping update. +2025-10-31 16:49:33,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:33,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:33,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:33,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:33,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=13.27, mean=-0.09486, std=2.833, absmax=13.27 +2025-10-31 16:49:33,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.786, max=10.18, mean=-0.09808, std=2.391, absmax=10.18 +2025-10-31 16:49:34,265 ERROR: Encountered non-finite generator loss at iter 4472; skipping update. +2025-10-31 16:49:34,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:34,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:34,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.82, mean=-0.1717, std=2.757, absmax=12.82 +2025-10-31 16:49:34,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=9.759, mean=-0.1933, std=2.428, absmax=11.02 +2025-10-31 16:49:34,767 ERROR: Encountered non-finite generator loss at iter 4473; skipping update. +2025-10-31 16:49:34,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:34,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:34,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:34,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:34,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.35, max=10.79, mean=-0.08759, std=2.456, absmax=10.79 +2025-10-31 16:49:34,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.344, max=8.752, mean=-0.04468, std=2.035, absmax=8.752 +2025-10-31 16:49:35,268 ERROR: Encountered non-finite generator loss at iter 4474; skipping update. +2025-10-31 16:49:35,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:35,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:35,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.95, mean=-0.2753, std=2.687, absmax=12.95 +2025-10-31 16:49:35,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=7.684, mean=-0.2831, std=2.143, absmax=9.559 +2025-10-31 16:49:35,770 ERROR: Encountered non-finite generator loss at iter 4475; skipping update. +2025-10-31 16:49:35,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:35,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:35,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:35,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:35,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.08, mean=-0.2686, std=2.943, absmax=11.97 +2025-10-31 16:49:35,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=8.361, mean=-0.2433, std=2.467, absmax=10.03 +2025-10-31 16:49:36,269 ERROR: Encountered non-finite generator loss at iter 4476; skipping update. +2025-10-31 16:49:36,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:36,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:36,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.63, mean=-0.1064, std=3.168, absmax=14.63 +2025-10-31 16:49:36,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.522, max=12.99, mean=-0.1051, std=2.779, absmax=12.99 +2025-10-31 16:49:36,770 ERROR: Encountered non-finite generator loss at iter 4477; skipping update. +2025-10-31 16:49:36,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:36,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:36,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:36,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:36,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=13.06, mean=-0.09522, std=3.098, absmax=13.06 +2025-10-31 16:49:36,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=11.16, mean=-0.1231, std=2.606, absmax=11.16 +2025-10-31 16:49:37,270 ERROR: Encountered non-finite generator loss at iter 4478; skipping update. +2025-10-31 16:49:37,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:37,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:37,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.87, mean=-0.08395, std=2.877, absmax=13.87 +2025-10-31 16:49:37,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.407, max=9.228, mean=-0.1127, std=2.31, absmax=9.407 +2025-10-31 16:49:37,774 ERROR: Encountered non-finite generator loss at iter 4479; skipping update. +2025-10-31 16:49:37,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:37,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:37,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:37,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:37,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13, mean=-0.2976, std=3.069, absmax=13.03 +2025-10-31 16:49:37,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.75, max=11.5, mean=-0.2551, std=2.557, absmax=12.75 +2025-10-31 16:49:38,277 ERROR: Encountered non-finite generator loss at iter 4480; skipping update. +2025-10-31 16:49:38,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:38,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:38,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.78, mean=0.002749, std=3.707, absmax=13.87 +2025-10-31 16:49:38,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=10.91, mean=0.007344, std=3.053, absmax=11.85 +2025-10-31 16:49:38,780 ERROR: Encountered non-finite generator loss at iter 4481; skipping update. +2025-10-31 16:49:38,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:38,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:38,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:38,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:38,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.68, mean=-0.2668, std=2.507, absmax=12.38 +2025-10-31 16:49:38,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.756, max=8.127, mean=-0.2037, std=2.142, absmax=9.756 +2025-10-31 16:49:39,283 ERROR: Encountered non-finite generator loss at iter 4482; skipping update. +2025-10-31 16:49:39,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:39,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:39,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=10.45, mean=-0.1576, std=2.579, absmax=11.21 +2025-10-31 16:49:39,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.11, max=7.971, mean=-0.2026, std=2.172, absmax=9.11 +2025-10-31 16:49:39,784 ERROR: Encountered non-finite generator loss at iter 4483; skipping update. +2025-10-31 16:49:39,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:39,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:39,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:39,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:39,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.39, mean=-0.2136, std=2.962, absmax=12.39 +2025-10-31 16:49:39,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.983, max=9.774, mean=-0.2337, std=2.455, absmax=9.774 +2025-10-31 16:49:40,286 ERROR: Encountered non-finite generator loss at iter 4484; skipping update. +2025-10-31 16:49:40,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:40,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:40,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.74, mean=-0.2269, std=3.312, absmax=14.74 +2025-10-31 16:49:40,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=9.799, mean=-0.2186, std=2.868, absmax=11.11 +2025-10-31 16:49:40,787 ERROR: Encountered non-finite generator loss at iter 4485; skipping update. +2025-10-31 16:49:40,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:40,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:40,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:40,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:40,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.39, mean=-0.09903, std=2.596, absmax=12.99 +2025-10-31 16:49:40,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.167, max=10.19, mean=-0.07263, std=2.286, absmax=10.19 +2025-10-31 16:49:41,287 ERROR: Encountered non-finite generator loss at iter 4486; skipping update. +2025-10-31 16:49:41,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,292 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,293 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:41,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:41,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=16.39, mean=0.0765, std=3.572, absmax=16.39 +2025-10-31 16:49:41,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.59, mean=0.003428, std=3.053, absmax=12.59 +2025-10-31 16:49:41,791 ERROR: Encountered non-finite generator loss at iter 4487; skipping update. +2025-10-31 16:49:41,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:41,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:41,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:41,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:41,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.02, max=14, mean=-0.02372, std=3.005, absmax=15.02 +2025-10-31 16:49:41,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.22, mean=-0.06655, std=2.529, absmax=11.22 +2025-10-31 16:49:42,294 ERROR: Encountered non-finite generator loss at iter 4488; skipping update. +2025-10-31 16:49:42,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:42,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:42,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=17.98, mean=-0.2384, std=3.008, absmax=17.98 +2025-10-31 16:49:42,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.112, max=11.93, mean=-0.2309, std=2.454, absmax=11.93 +2025-10-31 16:49:42,797 ERROR: Encountered non-finite generator loss at iter 4489; skipping update. +2025-10-31 16:49:42,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:42,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:42,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:42,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:42,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.52, mean=-0.06124, std=3.068, absmax=13.52 +2025-10-31 16:49:42,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.415, max=11.21, mean=-0.07474, std=2.63, absmax=11.21 +2025-10-31 16:49:43,300 ERROR: Encountered non-finite generator loss at iter 4490; skipping update. +2025-10-31 16:49:43,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:43,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:43,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=13.31, mean=-0.2416, std=2.8, absmax=13.31 +2025-10-31 16:49:43,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=8.64, mean=-0.2373, std=2.459, absmax=11.53 +2025-10-31 16:49:43,803 ERROR: Encountered non-finite generator loss at iter 4491; skipping update. +2025-10-31 16:49:43,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:43,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:43,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:43,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:43,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.65, mean=-0.07645, std=3.031, absmax=13.72 +2025-10-31 16:49:43,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=12.75, mean=-0.04493, std=2.73, absmax=12.75 +2025-10-31 16:49:44,303 ERROR: Encountered non-finite generator loss at iter 4492; skipping update. +2025-10-31 16:49:44,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:44,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:44,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.18, max=14.4, mean=0.08048, std=3.309, absmax=16.18 +2025-10-31 16:49:44,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=13.11, mean=0.007783, std=2.826, absmax=13.11 +2025-10-31 16:49:44,806 ERROR: Encountered non-finite generator loss at iter 4493; skipping update. +2025-10-31 16:49:44,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:44,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:44,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:44,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:44,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.88, mean=-0.06085, std=3.047, absmax=12.44 +2025-10-31 16:49:44,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.687, max=9.66, mean=-0.1054, std=2.55, absmax=9.687 +2025-10-31 16:49:45,307 ERROR: Encountered non-finite generator loss at iter 4494; skipping update. +2025-10-31 16:49:45,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:45,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:45,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.63, mean=-0.2896, std=3.054, absmax=13.63 +2025-10-31 16:49:45,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.758, mean=-0.3206, std=2.618, absmax=10.22 +2025-10-31 16:49:45,808 ERROR: Encountered non-finite generator loss at iter 4495; skipping update. +2025-10-31 16:49:45,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:45,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:45,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:45,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:45,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.84, mean=-0.2713, std=2.721, absmax=11.91 +2025-10-31 16:49:45,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=8.92, mean=-0.2667, std=2.262, absmax=9.837 +2025-10-31 16:49:46,306 ERROR: Encountered non-finite generator loss at iter 4496; skipping update. +2025-10-31 16:49:46,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:46,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:46,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.48, mean=-0.1724, std=2.935, absmax=13.48 +2025-10-31 16:49:46,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.759, mean=-0.1184, std=2.44, absmax=10.89 +2025-10-31 16:49:46,807 ERROR: Encountered non-finite generator loss at iter 4497; skipping update. +2025-10-31 16:49:46,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:46,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:46,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:46,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:46,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.91, mean=-0.06087, std=3.848, absmax=14.23 +2025-10-31 16:49:46,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.18, mean=-0.1244, std=3.181, absmax=11.61 +2025-10-31 16:49:47,307 ERROR: Encountered non-finite generator loss at iter 4498; skipping update. +2025-10-31 16:49:47,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:47,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:47,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=15.56, mean=-0.2794, std=3.26, absmax=15.56 +2025-10-31 16:49:47,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=8.567, mean=-0.3016, std=2.7, absmax=11.15 +2025-10-31 16:49:47,807 ERROR: Encountered non-finite generator loss at iter 4499; skipping update. +2025-10-31 16:49:47,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:47,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:47,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:47,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:47,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.72, mean=-0.03694, std=3.138, absmax=13.24 +2025-10-31 16:49:47,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.06, max=8.942, mean=-0.0247, std=2.495, absmax=9.06 +2025-10-31 16:49:48,308 ERROR: Encountered non-finite generator loss at iter 4500; skipping update. +2025-10-31 16:49:48,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:48,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:48,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=13.37, mean=-0.1218, std=2.843, absmax=13.37 +2025-10-31 16:49:48,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.05, mean=-0.07973, std=2.561, absmax=10.05 +2025-10-31 16:49:48,319 INFO: [29..][epoch: 0, step: 4,500, lr:(1.500e-04,)] [eta: 1 day, 17:37:40, time (data): 0.502 (0.000)] +2025-10-31 16:49:48,809 ERROR: Encountered non-finite generator loss at iter 4501; skipping update. +2025-10-31 16:49:48,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:48,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:48,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:48,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:48,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=14.56, mean=-0.2409, std=2.943, absmax=14.56 +2025-10-31 16:49:48,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.431, mean=-0.2307, std=2.429, absmax=11.29 +2025-10-31 16:49:49,310 ERROR: Encountered non-finite generator loss at iter 4502; skipping update. +2025-10-31 16:49:49,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:49,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:49,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=10.75, mean=-0.3326, std=2.682, absmax=11.39 +2025-10-31 16:49:49,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=8.141, mean=-0.3133, std=2.437, absmax=9.882 +2025-10-31 16:49:49,811 ERROR: Encountered non-finite generator loss at iter 4503; skipping update. +2025-10-31 16:49:49,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:49,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:49,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:49,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:49,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.51, mean=-0.1951, std=2.818, absmax=12.51 +2025-10-31 16:49:49,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.294, max=11.28, mean=-0.1786, std=2.445, absmax=11.28 +2025-10-31 16:49:50,311 ERROR: Encountered non-finite generator loss at iter 4504; skipping update. +2025-10-31 16:49:50,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,318 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,319 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:50,320 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:50,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.59, mean=-0.2354, std=2.596, absmax=11.59 +2025-10-31 16:49:50,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.483, max=7.793, mean=-0.2147, std=2.177, absmax=8.483 +2025-10-31 16:49:50,814 ERROR: Encountered non-finite generator loss at iter 4505; skipping update. +2025-10-31 16:49:50,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:50,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:50,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:50,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:50,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.18, mean=-0.2112, std=2.598, absmax=13.18 +2025-10-31 16:49:50,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.662, max=9.087, mean=-0.164, std=2.162, absmax=9.087 +2025-10-31 16:49:51,314 ERROR: Encountered non-finite generator loss at iter 4506; skipping update. +2025-10-31 16:49:51,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:51,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:51,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.66, mean=-0.2452, std=3.096, absmax=12.88 +2025-10-31 16:49:51,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.05, mean=-0.2578, std=2.492, absmax=10.99 +2025-10-31 16:49:51,815 ERROR: Encountered non-finite generator loss at iter 4507; skipping update. +2025-10-31 16:49:51,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:51,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:51,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:51,824 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:51,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.11, mean=-0.2207, std=2.773, absmax=11.85 +2025-10-31 16:49:51,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=7.968, mean=-0.2167, std=2.307, absmax=10.98 +2025-10-31 16:49:52,320 ERROR: Encountered non-finite generator loss at iter 4508; skipping update. +2025-10-31 16:49:52,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:52,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:52,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.63, mean=-0.08303, std=3.279, absmax=14.63 +2025-10-31 16:49:52,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.817, max=11.9, mean=-0.07826, std=2.686, absmax=11.9 +2025-10-31 16:49:52,821 ERROR: Encountered non-finite generator loss at iter 4509; skipping update. +2025-10-31 16:49:52,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:52,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:52,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:52,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:52,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.26, mean=-0.1022, std=2.895, absmax=14.26 +2025-10-31 16:49:52,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.28, mean=-0.05773, std=2.428, absmax=10.73 +2025-10-31 16:49:53,334 ERROR: Encountered non-finite generator loss at iter 4510; skipping update. +2025-10-31 16:49:53,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:53,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:53,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.41, mean=-0.1389, std=3.064, absmax=14.41 +2025-10-31 16:49:53,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.41, mean=-0.1379, std=2.586, absmax=11.41 +2025-10-31 16:49:53,835 ERROR: Encountered non-finite generator loss at iter 4511; skipping update. +2025-10-31 16:49:53,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:53,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:53,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:53,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:53,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.91, mean=-0.07828, std=2.776, absmax=13.91 +2025-10-31 16:49:53,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.161, max=9.665, mean=-0.1308, std=2.24, absmax=9.665 +2025-10-31 16:49:54,335 ERROR: Encountered non-finite generator loss at iter 4512; skipping update. +2025-10-31 16:49:54,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:54,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:54,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.37, mean=-0.1527, std=3.171, absmax=13.37 +2025-10-31 16:49:54,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.497, mean=-0.1448, std=2.62, absmax=10.73 +2025-10-31 16:49:54,837 ERROR: Encountered non-finite generator loss at iter 4513; skipping update. +2025-10-31 16:49:54,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:54,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:54,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:54,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:54,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=15.07, mean=0.006906, std=3.391, absmax=15.07 +2025-10-31 16:49:54,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.31, mean=-0.0006059, std=2.742, absmax=11.31 +2025-10-31 16:49:55,336 ERROR: Encountered non-finite generator loss at iter 4514; skipping update. +2025-10-31 16:49:55,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:55,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:55,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.87, mean=-0.295, std=3.103, absmax=13 +2025-10-31 16:49:55,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=12.06, mean=-0.2566, std=2.883, absmax=12.4 +2025-10-31 16:49:55,836 ERROR: Encountered non-finite generator loss at iter 4515; skipping update. +2025-10-31 16:49:55,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:55,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:55,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:55,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:55,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=15.08, mean=0.2329, std=4.298, absmax=15.08 +2025-10-31 16:49:55,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.94, max=14.79, mean=0.1862, std=3.644, absmax=14.79 +2025-10-31 16:49:56,337 ERROR: Encountered non-finite generator loss at iter 4516; skipping update. +2025-10-31 16:49:56,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:56,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:56,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.42, mean=-0.09568, std=2.897, absmax=13.42 +2025-10-31 16:49:56,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=8.544, mean=-0.1396, std=2.274, absmax=10.36 +2025-10-31 16:49:56,837 ERROR: Encountered non-finite generator loss at iter 4517; skipping update. +2025-10-31 16:49:56,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:56,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:56,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:56,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:56,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.53, mean=-0.08051, std=3.087, absmax=14.53 +2025-10-31 16:49:56,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.19, mean=-0.1377, std=2.587, absmax=10.67 +2025-10-31 16:49:57,339 ERROR: Encountered non-finite generator loss at iter 4518; skipping update. +2025-10-31 16:49:57,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:57,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:57,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.42, mean=-0.2627, std=2.84, absmax=12.42 +2025-10-31 16:49:57,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.613, max=8.097, mean=-0.2916, std=2.469, absmax=9.613 +2025-10-31 16:49:57,841 ERROR: Encountered non-finite generator loss at iter 4519; skipping update. +2025-10-31 16:49:57,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:57,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:57,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:57,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:57,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.36, mean=-0.1463, std=3.261, absmax=13.36 +2025-10-31 16:49:57,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.86, max=12.02, mean=-0.1344, std=2.751, absmax=12.02 +2025-10-31 16:49:58,341 ERROR: Encountered non-finite generator loss at iter 4520; skipping update. +2025-10-31 16:49:58,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:58,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:58,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.98, mean=-0.1158, std=2.95, absmax=12.98 +2025-10-31 16:49:58,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.872, mean=-0.1346, std=2.511, absmax=10.8 +2025-10-31 16:49:58,842 ERROR: Encountered non-finite generator loss at iter 4521; skipping update. +2025-10-31 16:49:58,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:58,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:58,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:58,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:58,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.05, mean=-0.0868, std=2.857, absmax=12.05 +2025-10-31 16:49:58,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.191, max=8.798, mean=-0.101, std=2.351, absmax=9.191 +2025-10-31 16:49:59,343 ERROR: Encountered non-finite generator loss at iter 4522; skipping update. +2025-10-31 16:49:59,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:59,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:59,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=13.62, mean=-0.1624, std=3.126, absmax=14.62 +2025-10-31 16:49:59,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=10.17, mean=-0.2066, std=2.618, absmax=12.29 +2025-10-31 16:49:59,845 ERROR: Encountered non-finite generator loss at iter 4523; skipping update. +2025-10-31 16:49:59,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:49:59,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:49:59,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:49:59,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:49:59,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.77, mean=-0.01896, std=4.248, absmax=14.77 +2025-10-31 16:49:59,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=12.03, mean=-0.07524, std=3.606, absmax=12.53 +2025-10-31 16:50:00,345 ERROR: Encountered non-finite generator loss at iter 4524; skipping update. +2025-10-31 16:50:00,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:00,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:00,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=15.57, mean=0.0556, std=3.256, absmax=15.57 +2025-10-31 16:50:00,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=10.83, mean=-0.007238, std=2.624, absmax=10.83 +2025-10-31 16:50:00,845 ERROR: Encountered non-finite generator loss at iter 4525; skipping update. +2025-10-31 16:50:00,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:00,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:00,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:00,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:00,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.12, mean=-0.2422, std=3.421, absmax=13.37 +2025-10-31 16:50:00,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=11.16, mean=-0.2531, std=2.891, absmax=11.66 +2025-10-31 16:50:01,345 ERROR: Encountered non-finite generator loss at iter 4526; skipping update. +2025-10-31 16:50:01,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:01,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:01,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.11, mean=-0.3217, std=2.382, absmax=13.11 +2025-10-31 16:50:01,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.075, max=6.865, mean=-0.244, std=1.979, absmax=9.075 +2025-10-31 16:50:01,844 ERROR: Encountered non-finite generator loss at iter 4527; skipping update. +2025-10-31 16:50:01,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:01,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:01,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:01,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:01,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.56, mean=0.009566, std=3.343, absmax=14.56 +2025-10-31 16:50:01,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.438, max=9.996, mean=-0.01241, std=2.638, absmax=9.996 +2025-10-31 16:50:02,346 ERROR: Encountered non-finite generator loss at iter 4528; skipping update. +2025-10-31 16:50:02,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:02,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:02,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.71, mean=-0.35, std=3.236, absmax=12.74 +2025-10-31 16:50:02,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=8.493, mean=-0.3236, std=2.585, absmax=11.59 +2025-10-31 16:50:02,846 ERROR: Encountered non-finite generator loss at iter 4529; skipping update. +2025-10-31 16:50:02,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:02,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:02,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:02,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:02,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.51, mean=-0.1188, std=2.709, absmax=13.51 +2025-10-31 16:50:02,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.13, mean=-0.09231, std=2.372, absmax=11.13 +2025-10-31 16:50:03,346 ERROR: Encountered non-finite generator loss at iter 4530; skipping update. +2025-10-31 16:50:03,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:03,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:03,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=15.65, mean=-0.2733, std=2.907, absmax=15.65 +2025-10-31 16:50:03,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=11.06, mean=-0.2311, std=2.466, absmax=11.8 +2025-10-31 16:50:03,848 ERROR: Encountered non-finite generator loss at iter 4531; skipping update. +2025-10-31 16:50:03,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:03,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:03,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:03,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:03,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.79, mean=-0.2794, std=3.044, absmax=13.39 +2025-10-31 16:50:03,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.83, mean=-0.2316, std=2.587, absmax=10.83 +2025-10-31 16:50:04,348 ERROR: Encountered non-finite generator loss at iter 4532; skipping update. +2025-10-31 16:50:04,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:04,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:04,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.15, max=10.31, mean=-0.1675, std=2.342, absmax=10.31 +2025-10-31 16:50:04,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.291, max=7.555, mean=-0.1924, std=2.087, absmax=9.291 +2025-10-31 16:50:04,850 ERROR: Encountered non-finite generator loss at iter 4533; skipping update. +2025-10-31 16:50:04,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,854 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,855 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:04,856 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:04,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:04,857 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:04,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.5, mean=-0.1303, std=2.677, absmax=12.5 +2025-10-31 16:50:04,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.369, mean=-0.122, std=2.283, absmax=10.26 +2025-10-31 16:50:05,350 ERROR: Encountered non-finite generator loss at iter 4534; skipping update. +2025-10-31 16:50:05,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:05,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:05,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.7, mean=-0.3043, std=2.962, absmax=13.7 +2025-10-31 16:50:05,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=11.47, mean=-0.2895, std=2.639, absmax=11.47 +2025-10-31 16:50:05,852 ERROR: Encountered non-finite generator loss at iter 4535; skipping update. +2025-10-31 16:50:05,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,854 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,854 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,856 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:05,858 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:05,859 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:05,860 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:05,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=12.72, mean=-0.1747, std=2.433, absmax=12.72 +2025-10-31 16:50:05,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.612, max=7.427, mean=-0.2131, std=2.115, absmax=9.612 +2025-10-31 16:50:06,355 ERROR: Encountered non-finite generator loss at iter 4536; skipping update. +2025-10-31 16:50:06,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:06,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:06,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.84, mean=-0.1624, std=2.865, absmax=12.07 +2025-10-31 16:50:06,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.79, max=10.07, mean=-0.139, std=2.526, absmax=10.07 +2025-10-31 16:50:06,856 ERROR: Encountered non-finite generator loss at iter 4537; skipping update. +2025-10-31 16:50:06,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:06,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:06,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:06,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:06,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.45, mean=0.008007, std=3.149, absmax=12.63 +2025-10-31 16:50:06,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.222, max=9.089, mean=0.004639, std=2.574, absmax=9.222 +2025-10-31 16:50:07,358 ERROR: Encountered non-finite generator loss at iter 4538; skipping update. +2025-10-31 16:50:07,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:07,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:07,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.82, mean=-0.3113, std=3.165, absmax=13.5 +2025-10-31 16:50:07,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=8.392, mean=-0.2674, std=2.561, absmax=11.65 +2025-10-31 16:50:07,859 ERROR: Encountered non-finite generator loss at iter 4539; skipping update. +2025-10-31 16:50:07,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:07,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:07,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:07,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:07,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.04, mean=-0.1275, std=2.752, absmax=12.04 +2025-10-31 16:50:07,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=7.577, mean=-0.1504, std=2.298, absmax=10.05 +2025-10-31 16:50:08,361 ERROR: Encountered non-finite generator loss at iter 4540; skipping update. +2025-10-31 16:50:08,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,364 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,366 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:08,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:08,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.34, mean=-0.03044, std=2.805, absmax=14.64 +2025-10-31 16:50:08,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.22, mean=-0.06621, std=2.248, absmax=11.38 +2025-10-31 16:50:08,864 ERROR: Encountered non-finite generator loss at iter 4541; skipping update. +2025-10-31 16:50:08,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:08,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:08,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:08,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:08,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.69, mean=-0.2161, std=3.078, absmax=12.87 +2025-10-31 16:50:08,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.87, mean=-0.2285, std=2.586, absmax=10.21 +2025-10-31 16:50:09,365 ERROR: Encountered non-finite generator loss at iter 4542; skipping update. +2025-10-31 16:50:09,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:09,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:09,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.24, mean=-0.2637, std=2.929, absmax=13.7 +2025-10-31 16:50:09,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.43, mean=-0.2448, std=2.482, absmax=10.43 +2025-10-31 16:50:09,867 ERROR: Encountered non-finite generator loss at iter 4543; skipping update. +2025-10-31 16:50:09,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:09,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:09,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:09,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:09,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=12.26, mean=-0.2215, std=2.812, absmax=15.04 +2025-10-31 16:50:09,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.349, max=8.663, mean=-0.2161, std=2.317, absmax=9.349 +2025-10-31 16:50:10,368 ERROR: Encountered non-finite generator loss at iter 4544; skipping update. +2025-10-31 16:50:10,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,371 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:10,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:10,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.68, mean=-0.06598, std=3.47, absmax=14.68 +2025-10-31 16:50:10,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.56, mean=-0.07834, std=2.807, absmax=11.56 +2025-10-31 16:50:10,870 ERROR: Encountered non-finite generator loss at iter 4545; skipping update. +2025-10-31 16:50:10,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:10,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:10,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:10,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:10,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.99, mean=-0.1677, std=2.718, absmax=11.66 +2025-10-31 16:50:10,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=8.603, mean=-0.2249, std=2.329, absmax=10.2 +2025-10-31 16:50:11,372 ERROR: Encountered non-finite generator loss at iter 4546; skipping update. +2025-10-31 16:50:11,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:11,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:11,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=11.14, mean=-0.0714, std=2.622, absmax=11.21 +2025-10-31 16:50:11,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.406, max=8.227, mean=-0.08734, std=2.235, absmax=8.406 +2025-10-31 16:50:11,879 ERROR: Encountered non-finite generator loss at iter 4547; skipping update. +2025-10-31 16:50:11,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:11,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:11,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:11,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:11,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.3, mean=-0.1997, std=2.561, absmax=11.99 +2025-10-31 16:50:11,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.686, max=9.255, mean=-0.2088, std=2.163, absmax=9.255 +2025-10-31 16:50:12,382 ERROR: Encountered non-finite generator loss at iter 4548; skipping update. +2025-10-31 16:50:12,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:12,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:12,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=14.59, mean=-0.2227, std=3.28, absmax=14.59 +2025-10-31 16:50:12,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.78, mean=-0.2326, std=2.627, absmax=10.78 +2025-10-31 16:50:12,887 ERROR: Encountered non-finite generator loss at iter 4549; skipping update. +2025-10-31 16:50:12,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:12,893 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:12,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:12,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:12,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.93, mean=-0.1275, std=2.775, absmax=13.93 +2025-10-31 16:50:12,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.574, mean=-0.1126, std=2.214, absmax=11.67 +2025-10-31 16:50:13,388 ERROR: Encountered non-finite generator loss at iter 4550; skipping update. +2025-10-31 16:50:13,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:13,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:13,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.6, mean=-0.2359, std=2.748, absmax=12.01 +2025-10-31 16:50:13,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=9.815, mean=-0.2194, std=2.358, absmax=10.61 +2025-10-31 16:50:13,895 ERROR: Encountered non-finite generator loss at iter 4551; skipping update. +2025-10-31 16:50:13,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:13,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:13,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:13,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:13,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.56, mean=-0.1984, std=3.194, absmax=13.09 +2025-10-31 16:50:13,904 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=10.39, mean=-0.2005, std=2.804, absmax=12.01 +2025-10-31 16:50:14,396 ERROR: Encountered non-finite generator loss at iter 4552; skipping update. +2025-10-31 16:50:14,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:14,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:14,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.11, mean=-0.06841, std=2.608, absmax=12.11 +2025-10-31 16:50:14,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.968, max=8.681, mean=-0.121, std=2.182, absmax=8.968 +2025-10-31 16:50:14,904 ERROR: Encountered non-finite generator loss at iter 4553; skipping update. +2025-10-31 16:50:14,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:14,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:14,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:14,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:14,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=9.834, mean=-0.1977, std=2.662, absmax=11.7 +2025-10-31 16:50:14,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=8.123, mean=-0.2046, std=2.276, absmax=9.898 +2025-10-31 16:50:15,404 ERROR: Encountered non-finite generator loss at iter 4554; skipping update. +2025-10-31 16:50:15,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:15,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:15,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.43, mean=-0.1357, std=2.691, absmax=12.58 +2025-10-31 16:50:15,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.61, max=9.594, mean=-0.09386, std=2.365, absmax=9.594 +2025-10-31 16:50:15,912 ERROR: Encountered non-finite generator loss at iter 4555; skipping update. +2025-10-31 16:50:15,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,918 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:15,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:15,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:15,921 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:15,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.43, mean=-0.2432, std=2.789, absmax=11.75 +2025-10-31 16:50:15,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.539, max=10.18, mean=-0.26, std=2.356, absmax=10.18 +2025-10-31 16:50:16,415 ERROR: Encountered non-finite generator loss at iter 4556; skipping update. +2025-10-31 16:50:16,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:16,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:16,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=15.46, mean=0.01084, std=3.272, absmax=15.46 +2025-10-31 16:50:16,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=14.95, mean=0.001374, std=3.029, absmax=14.95 +2025-10-31 16:50:16,921 ERROR: Encountered non-finite generator loss at iter 4557; skipping update. +2025-10-31 16:50:16,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:16,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:16,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:16,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:16,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.65, mean=-0.1708, std=2.691, absmax=11.65 +2025-10-31 16:50:16,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.835, max=9.213, mean=-0.2032, std=2.201, absmax=9.213 +2025-10-31 16:50:17,421 ERROR: Encountered non-finite generator loss at iter 4558; skipping update. +2025-10-31 16:50:17,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,427 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:17,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:17,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.76, max=13.42, mean=-0.08954, std=2.682, absmax=13.42 +2025-10-31 16:50:17,431 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.818, max=12.3, mean=-0.1124, std=2.346, absmax=12.3 +2025-10-31 16:50:17,925 ERROR: Encountered non-finite generator loss at iter 4559; skipping update. +2025-10-31 16:50:17,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:17,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:17,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:17,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:17,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=10.26, mean=-0.3291, std=2.626, absmax=11.73 +2025-10-31 16:50:17,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.954, max=8.988, mean=-0.3155, std=2.314, absmax=9.954 +2025-10-31 16:50:18,426 ERROR: Encountered non-finite generator loss at iter 4560; skipping update. +2025-10-31 16:50:18,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:18,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:18,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=15.96, mean=0.1156, std=3.488, absmax=16.4 +2025-10-31 16:50:18,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=12.62, mean=0.102, std=2.86, absmax=12.62 +2025-10-31 16:50:18,932 ERROR: Encountered non-finite generator loss at iter 4561; skipping update. +2025-10-31 16:50:18,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:18,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:18,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:18,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:18,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.36, mean=-0.0987, std=3.347, absmax=14.36 +2025-10-31 16:50:18,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.698, max=11.13, mean=-0.06792, std=2.73, absmax=11.13 +2025-10-31 16:50:19,434 ERROR: Encountered non-finite generator loss at iter 4562; skipping update. +2025-10-31 16:50:19,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,437 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,439 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:19,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:19,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.8, mean=0.08303, std=3.078, absmax=12.65 +2025-10-31 16:50:19,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.354, max=9.005, mean=0.02891, std=2.421, absmax=9.005 +2025-10-31 16:50:19,944 ERROR: Encountered non-finite generator loss at iter 4563; skipping update. +2025-10-31 16:50:19,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:19,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:19,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:19,950 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:19,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=9.331, mean=-0.1486, std=2.639, absmax=10.85 +2025-10-31 16:50:19,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.021, max=8.664, mean=-0.08229, std=2.542, absmax=9.021 +2025-10-31 16:50:20,443 ERROR: Encountered non-finite generator loss at iter 4564; skipping update. +2025-10-31 16:50:20,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:20,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:20,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.32, mean=-0.1109, std=2.853, absmax=11.88 +2025-10-31 16:50:20,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.292, max=10.05, mean=-0.09878, std=2.392, absmax=10.05 +2025-10-31 16:50:20,951 ERROR: Encountered non-finite generator loss at iter 4565; skipping update. +2025-10-31 16:50:20,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:20,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:20,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:20,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:20,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.33, mean=-0.1785, std=2.535, absmax=12.33 +2025-10-31 16:50:20,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=8.215, mean=-0.2238, std=2.108, absmax=9.344 +2025-10-31 16:50:21,454 ERROR: Encountered non-finite generator loss at iter 4566; skipping update. +2025-10-31 16:50:21,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:21,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:21,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=15.54, mean=-0.2646, std=2.706, absmax=15.54 +2025-10-31 16:50:21,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.572, max=9.053, mean=-0.2526, std=2.252, absmax=9.572 +2025-10-31 16:50:21,964 ERROR: Encountered non-finite generator loss at iter 4567; skipping update. +2025-10-31 16:50:21,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:21,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:21,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:21,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:21,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.26, mean=-0.08801, std=2.658, absmax=12.75 +2025-10-31 16:50:21,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.885, max=9.428, mean=-0.09891, std=2.203, absmax=9.428 +2025-10-31 16:50:22,466 ERROR: Encountered non-finite generator loss at iter 4568; skipping update. +2025-10-31 16:50:22,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:22,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:22,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.19, max=12.89, mean=-0.2454, std=3.106, absmax=19.19 +2025-10-31 16:50:22,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=11.2, mean=-0.2695, std=2.659, absmax=11.7 +2025-10-31 16:50:22,968 ERROR: Encountered non-finite generator loss at iter 4569; skipping update. +2025-10-31 16:50:22,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,972 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:22,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:22,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:22,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:22,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.38, mean=-0.1297, std=2.812, absmax=12.38 +2025-10-31 16:50:22,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.296, max=10.39, mean=-0.1362, std=2.288, absmax=10.39 +2025-10-31 16:50:23,469 ERROR: Encountered non-finite generator loss at iter 4570; skipping update. +2025-10-31 16:50:23,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,474 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:23,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:23,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.27, mean=-0.1321, std=3.001, absmax=12.27 +2025-10-31 16:50:23,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.874, max=8.603, mean=-0.1264, std=2.384, absmax=9.874 +2025-10-31 16:50:23,980 ERROR: Encountered non-finite generator loss at iter 4571; skipping update. +2025-10-31 16:50:23,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:23,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:23,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:23,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:23,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=15.85, mean=-0.2129, std=3.297, absmax=15.85 +2025-10-31 16:50:23,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=14.81, mean=-0.2098, std=2.852, absmax=14.81 +2025-10-31 16:50:24,480 ERROR: Encountered non-finite generator loss at iter 4572; skipping update. +2025-10-31 16:50:24,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:24,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:24,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.82, mean=-0.146, std=2.952, absmax=12.82 +2025-10-31 16:50:24,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.563, max=10.68, mean=-0.1532, std=2.516, absmax=10.68 +2025-10-31 16:50:24,984 ERROR: Encountered non-finite generator loss at iter 4573; skipping update. +2025-10-31 16:50:24,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:24,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:24,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:24,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:24,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=11.67, mean=-0.1458, std=2.598, absmax=11.67 +2025-10-31 16:50:24,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.23, max=8.506, mean=-0.0983, std=2.221, absmax=8.506 +2025-10-31 16:50:25,483 ERROR: Encountered non-finite generator loss at iter 4574; skipping update. +2025-10-31 16:50:25,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:25,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:25,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.97, mean=-0.1337, std=2.814, absmax=13.97 +2025-10-31 16:50:25,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.79, mean=-0.1603, std=2.32, absmax=10.93 +2025-10-31 16:50:25,987 ERROR: Encountered non-finite generator loss at iter 4575; skipping update. +2025-10-31 16:50:25,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:25,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:25,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:25,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:25,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.47, mean=-0.13, std=2.856, absmax=14.47 +2025-10-31 16:50:25,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.125, max=9.661, mean=-0.1408, std=2.271, absmax=9.661 +2025-10-31 16:50:26,488 ERROR: Encountered non-finite generator loss at iter 4576; skipping update. +2025-10-31 16:50:26,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:26,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:26,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=15.15, mean=0.05073, std=3.607, absmax=15.15 +2025-10-31 16:50:26,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=14.21, mean=0.04379, std=3.058, absmax=14.21 +2025-10-31 16:50:26,990 ERROR: Encountered non-finite generator loss at iter 4577; skipping update. +2025-10-31 16:50:26,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:26,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:26,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:26,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:26,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.72, mean=-0.3374, std=3.321, absmax=12.92 +2025-10-31 16:50:27,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.45, mean=-0.295, std=2.77, absmax=10.49 +2025-10-31 16:50:27,492 ERROR: Encountered non-finite generator loss at iter 4578; skipping update. +2025-10-31 16:50:27,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:27,494 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:27,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:27,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:27,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:27,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:27,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:27,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:27,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=14.61, mean=0.0006808, std=3.439, absmax=15.5 +2025-10-31 16:50:27,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=11.08, mean=-0.04151, std=2.796, absmax=11.21 +2025-10-31 16:50:27,998 ERROR: Encountered non-finite generator loss at iter 4579; skipping update. +2025-10-31 16:50:27,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:28,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:28,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.7, mean=-0.1805, std=2.982, absmax=15.7 +2025-10-31 16:50:28,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=10.43, mean=-0.1707, std=2.496, absmax=10.43 +2025-10-31 16:50:28,498 ERROR: Encountered non-finite generator loss at iter 4580; skipping update. +2025-10-31 16:50:28,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:28,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:28,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:28,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:28,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.05, mean=-0.2143, std=2.862, absmax=12.52 +2025-10-31 16:50:28,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.842, max=10.4, mean=-0.1916, std=2.32, absmax=10.4 +2025-10-31 16:50:29,000 ERROR: Encountered non-finite generator loss at iter 4581; skipping update. +2025-10-31 16:50:29,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:29,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:29,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.33, mean=-0.2722, std=3.131, absmax=13.63 +2025-10-31 16:50:29,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=8.811, mean=-0.278, std=2.74, absmax=11.34 +2025-10-31 16:50:29,501 ERROR: Encountered non-finite generator loss at iter 4582; skipping update. +2025-10-31 16:50:29,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:29,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:29,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:29,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:29,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.03, mean=-0.1633, std=2.902, absmax=14.03 +2025-10-31 16:50:29,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=8.225, mean=-0.1544, std=2.294, absmax=9.728 +2025-10-31 16:50:30,001 ERROR: Encountered non-finite generator loss at iter 4583; skipping update. +2025-10-31 16:50:30,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:30,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:30,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=13.08, mean=-0.171, std=3.407, absmax=14.78 +2025-10-31 16:50:30,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=11.12, mean=-0.1185, std=2.835, absmax=11.13 +2025-10-31 16:50:30,503 ERROR: Encountered non-finite generator loss at iter 4584; skipping update. +2025-10-31 16:50:30,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:30,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:30,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:30,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:30,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=12.01, mean=-0.06385, std=3.166, absmax=12.01 +2025-10-31 16:50:30,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.247, mean=-0.1575, std=2.717, absmax=10.36 +2025-10-31 16:50:31,004 ERROR: Encountered non-finite generator loss at iter 4585; skipping update. +2025-10-31 16:50:31,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:31,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:31,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.24, mean=-0.2322, std=2.532, absmax=14.24 +2025-10-31 16:50:31,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.482, max=9.503, mean=-0.2055, std=2.042, absmax=9.503 +2025-10-31 16:50:31,505 ERROR: Encountered non-finite generator loss at iter 4586; skipping update. +2025-10-31 16:50:31,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:31,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:31,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:31,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:31,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.31, mean=-0.2525, std=3.175, absmax=13.33 +2025-10-31 16:50:31,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=8.613, mean=-0.2124, std=2.565, absmax=10.96 +2025-10-31 16:50:32,006 ERROR: Encountered non-finite generator loss at iter 4587; skipping update. +2025-10-31 16:50:32,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:32,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:32,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.74, mean=-0.008875, std=3.066, absmax=13.74 +2025-10-31 16:50:32,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=9.396, mean=0.007179, std=2.56, absmax=9.929 +2025-10-31 16:50:32,506 ERROR: Encountered non-finite generator loss at iter 4588; skipping update. +2025-10-31 16:50:32,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:32,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:32,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:32,514 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:32,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.28, mean=-0.2604, std=2.893, absmax=12.36 +2025-10-31 16:50:32,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.13, mean=-0.2286, std=2.508, absmax=10.03 +2025-10-31 16:50:33,007 ERROR: Encountered non-finite generator loss at iter 4589; skipping update. +2025-10-31 16:50:33,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:33,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:33,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=13.79, mean=-0.01024, std=3.734, absmax=14.83 +2025-10-31 16:50:33,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=12.33, mean=-0.007467, std=3.01, absmax=12.33 +2025-10-31 16:50:33,507 ERROR: Encountered non-finite generator loss at iter 4590; skipping update. +2025-10-31 16:50:33,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:33,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:33,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:33,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:33,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.82, mean=-0.06015, std=3.113, absmax=14.82 +2025-10-31 16:50:33,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=13.41, mean=-0.06202, std=2.715, absmax=13.41 +2025-10-31 16:50:34,005 ERROR: Encountered non-finite generator loss at iter 4591; skipping update. +2025-10-31 16:50:34,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:34,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:34,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.14, mean=-0.267, std=3.192, absmax=13.39 +2025-10-31 16:50:34,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.97, max=9.612, mean=-0.2961, std=2.89, absmax=12.97 +2025-10-31 16:50:34,506 ERROR: Encountered non-finite generator loss at iter 4592; skipping update. +2025-10-31 16:50:34,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:34,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:34,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:34,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:34,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=10.7, mean=-0.3476, std=3.039, absmax=13.79 +2025-10-31 16:50:34,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=9.189, mean=-0.3307, std=2.694, absmax=12.29 +2025-10-31 16:50:35,008 ERROR: Encountered non-finite generator loss at iter 4593; skipping update. +2025-10-31 16:50:35,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:35,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:35,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.68, mean=-0.2307, std=2.741, absmax=13.68 +2025-10-31 16:50:35,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=8.125, mean=-0.2058, std=2.468, absmax=10.25 +2025-10-31 16:50:35,509 ERROR: Encountered non-finite generator loss at iter 4594; skipping update. +2025-10-31 16:50:35,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:35,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:35,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:35,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:35,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.17, mean=-0.2207, std=3.674, absmax=14.17 +2025-10-31 16:50:35,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.672, mean=-0.1866, std=2.922, absmax=11.82 +2025-10-31 16:50:36,010 ERROR: Encountered non-finite generator loss at iter 4595; skipping update. +2025-10-31 16:50:36,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:36,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:36,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.59, mean=-0.2448, std=2.781, absmax=13.55 +2025-10-31 16:50:36,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.384, max=8.687, mean=-0.2509, std=2.172, absmax=9.384 +2025-10-31 16:50:36,511 ERROR: Encountered non-finite generator loss at iter 4596; skipping update. +2025-10-31 16:50:36,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:36,518 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:36,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:36,520 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:36,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=10.41, mean=-0.1101, std=2.573, absmax=12.22 +2025-10-31 16:50:36,522 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.659, max=7.765, mean=-0.09034, std=2.134, absmax=8.659 +2025-10-31 16:50:37,018 ERROR: Encountered non-finite generator loss at iter 4597; skipping update. +2025-10-31 16:50:37,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:37,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:37,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.99, mean=-0.14, std=2.49, absmax=12.99 +2025-10-31 16:50:37,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.796, max=8.481, mean=-0.1191, std=2.209, absmax=8.796 +2025-10-31 16:50:37,524 ERROR: Encountered non-finite generator loss at iter 4598; skipping update. +2025-10-31 16:50:37,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:37,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:37,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:37,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:37,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.51, mean=-0.1464, std=3.277, absmax=14.51 +2025-10-31 16:50:37,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.53, mean=-0.2165, std=2.73, absmax=10.53 +2025-10-31 16:50:38,026 ERROR: Encountered non-finite generator loss at iter 4599; skipping update. +2025-10-31 16:50:38,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:38,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:38,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=14.61, mean=-0.3037, std=2.855, absmax=14.61 +2025-10-31 16:50:38,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.25, mean=-0.3369, std=2.385, absmax=10.25 +2025-10-31 16:50:38,531 ERROR: Encountered non-finite generator loss at iter 4600; skipping update. +2025-10-31 16:50:38,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,537 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:38,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:38,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:38,541 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:38,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.23, mean=-0.1994, std=2.816, absmax=12.53 +2025-10-31 16:50:38,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=8.607, mean=-0.2132, std=2.358, absmax=10.42 +2025-10-31 16:50:38,544 INFO: [29..][epoch: 0, step: 4,600, lr:(1.500e-04,)] [eta: 1 day, 17:27:02, time (data): 0.502 (0.000)] +2025-10-31 16:50:39,037 ERROR: Encountered non-finite generator loss at iter 4601; skipping update. +2025-10-31 16:50:39,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:39,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:39,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.18, mean=-0.1943, std=3.003, absmax=12.36 +2025-10-31 16:50:39,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.248, max=9.453, mean=-0.2098, std=2.366, absmax=9.453 +2025-10-31 16:50:39,540 ERROR: Encountered non-finite generator loss at iter 4602; skipping update. +2025-10-31 16:50:39,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:39,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:39,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:39,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:39,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=16.44, mean=0.05597, std=3.467, absmax=16.44 +2025-10-31 16:50:39,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=14.67, mean=0.06767, std=3.159, absmax=14.67 +2025-10-31 16:50:40,045 ERROR: Encountered non-finite generator loss at iter 4603; skipping update. +2025-10-31 16:50:40,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:40,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:40,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.54, mean=-0.2501, std=3.257, absmax=12.89 +2025-10-31 16:50:40,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.624, mean=-0.2472, std=2.767, absmax=10.58 +2025-10-31 16:50:40,547 ERROR: Encountered non-finite generator loss at iter 4604; skipping update. +2025-10-31 16:50:40,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:40,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:40,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:40,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:40,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=12.51, mean=-0.1834, std=3.072, absmax=14.05 +2025-10-31 16:50:40,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=8.954, mean=-0.2217, std=2.503, absmax=11.25 +2025-10-31 16:50:41,050 ERROR: Encountered non-finite generator loss at iter 4605; skipping update. +2025-10-31 16:50:41,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:41,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:41,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=14.1, mean=-0.1215, std=3.291, absmax=14.78 +2025-10-31 16:50:41,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=11.19, mean=-0.1073, std=2.717, absmax=12.23 +2025-10-31 16:50:41,552 ERROR: Encountered non-finite generator loss at iter 4606; skipping update. +2025-10-31 16:50:41,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:41,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:41,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:41,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:41,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.36, mean=-0.2234, std=2.611, absmax=12.44 +2025-10-31 16:50:41,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.39, mean=-0.2089, std=2.373, absmax=11.39 +2025-10-31 16:50:42,054 ERROR: Encountered non-finite generator loss at iter 4607; skipping update. +2025-10-31 16:50:42,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:42,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:42,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.66, max=14.83, mean=-0.2521, std=2.991, absmax=16.66 +2025-10-31 16:50:42,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=11.46, mean=-0.2561, std=2.489, absmax=11.46 +2025-10-31 16:50:42,554 ERROR: Encountered non-finite generator loss at iter 4608; skipping update. +2025-10-31 16:50:42,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:42,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:42,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:42,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:42,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.88, mean=-0.1136, std=2.906, absmax=12.88 +2025-10-31 16:50:42,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=10.31, mean=-0.108, std=2.384, absmax=10.31 +2025-10-31 16:50:43,055 ERROR: Encountered non-finite generator loss at iter 4609; skipping update. +2025-10-31 16:50:43,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:43,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:43,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.22, mean=-0.3214, std=2.717, absmax=12.3 +2025-10-31 16:50:43,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.809, max=8.453, mean=-0.2647, std=2.302, absmax=9.809 +2025-10-31 16:50:43,556 ERROR: Encountered non-finite generator loss at iter 4610; skipping update. +2025-10-31 16:50:43,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:43,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:43,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:43,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:43,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.33, mean=0.08219, std=3.004, absmax=13.86 +2025-10-31 16:50:43,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.576, max=12.19, mean=0.08412, std=2.703, absmax=12.19 +2025-10-31 16:50:44,057 ERROR: Encountered non-finite generator loss at iter 4611; skipping update. +2025-10-31 16:50:44,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:44,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:44,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=15.13, mean=0.07106, std=3.528, absmax=15.13 +2025-10-31 16:50:44,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=12.26, mean=0.04855, std=3.026, absmax=12.26 +2025-10-31 16:50:44,560 ERROR: Encountered non-finite generator loss at iter 4612; skipping update. +2025-10-31 16:50:44,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:44,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:44,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:44,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:44,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=11.76, mean=-0.2468, std=2.885, absmax=14.17 +2025-10-31 16:50:44,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=8.532, mean=-0.2418, std=2.474, absmax=10.39 +2025-10-31 16:50:45,060 ERROR: Encountered non-finite generator loss at iter 4613; skipping update. +2025-10-31 16:50:45,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:45,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:45,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.18, mean=-0.08949, std=3.464, absmax=14.18 +2025-10-31 16:50:45,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.3, mean=-0.1095, std=3.013, absmax=12.3 +2025-10-31 16:50:45,561 ERROR: Encountered non-finite generator loss at iter 4614; skipping update. +2025-10-31 16:50:45,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:45,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:45,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:45,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:45,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.97, mean=-0.3556, std=2.848, absmax=13.56 +2025-10-31 16:50:45,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.077, mean=-0.3057, std=2.282, absmax=10.56 +2025-10-31 16:50:46,061 ERROR: Encountered non-finite generator loss at iter 4615; skipping update. +2025-10-31 16:50:46,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:46,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:46,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=15.35, mean=-0.001625, std=3.499, absmax=15.35 +2025-10-31 16:50:46,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=13.61, mean=0.03859, std=2.91, absmax=13.61 +2025-10-31 16:50:46,557 ERROR: Encountered non-finite generator loss at iter 4616; skipping update. +2025-10-31 16:50:46,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:46,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:46,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:46,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:46,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.1, mean=-0.3079, std=3.205, absmax=13.1 +2025-10-31 16:50:46,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.506, mean=-0.2963, std=2.758, absmax=11.54 +2025-10-31 16:50:47,058 ERROR: Encountered non-finite generator loss at iter 4617; skipping update. +2025-10-31 16:50:47,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:47,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:47,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.9, mean=-0.2115, std=3.47, absmax=14.05 +2025-10-31 16:50:47,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=10.06, mean=-0.1919, std=2.834, absmax=11.31 +2025-10-31 16:50:47,558 ERROR: Encountered non-finite generator loss at iter 4618; skipping update. +2025-10-31 16:50:47,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:47,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:47,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:47,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:47,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.32, mean=-0.1476, std=3.136, absmax=15.32 +2025-10-31 16:50:47,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.04, mean=-0.1644, std=2.551, absmax=11.04 +2025-10-31 16:50:48,059 ERROR: Encountered non-finite generator loss at iter 4619; skipping update. +2025-10-31 16:50:48,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:48,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:48,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.94, mean=-0.3572, std=3.171, absmax=12.75 +2025-10-31 16:50:48,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=8.558, mean=-0.3565, std=2.666, absmax=10.5 +2025-10-31 16:50:48,561 ERROR: Encountered non-finite generator loss at iter 4620; skipping update. +2025-10-31 16:50:48,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:48,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:48,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:48,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:48,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.17, mean=0.1005, std=2.892, absmax=13.17 +2025-10-31 16:50:48,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.689, max=10.58, mean=0.07331, std=2.568, absmax=10.58 +2025-10-31 16:50:49,065 ERROR: Encountered non-finite generator loss at iter 4621; skipping update. +2025-10-31 16:50:49,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:49,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:49,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.47, mean=-0.2016, std=2.821, absmax=13.58 +2025-10-31 16:50:49,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.34, mean=-0.2258, std=2.304, absmax=11.34 +2025-10-31 16:50:49,567 ERROR: Encountered non-finite generator loss at iter 4622; skipping update. +2025-10-31 16:50:49,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:49,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:49,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:49,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:49,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.51, mean=0.01742, std=2.811, absmax=13.51 +2025-10-31 16:50:49,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.792, max=10.45, mean=-0.0243, std=2.419, absmax=10.45 +2025-10-31 16:50:50,069 ERROR: Encountered non-finite generator loss at iter 4623; skipping update. +2025-10-31 16:50:50,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:50,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:50,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.42, max=16.28, mean=-0.03486, std=3.005, absmax=17.42 +2025-10-31 16:50:50,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.8, max=9.915, mean=-0.06164, std=2.426, absmax=9.915 +2025-10-31 16:50:50,572 ERROR: Encountered non-finite generator loss at iter 4624; skipping update. +2025-10-31 16:50:50,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:50,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:50,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:50,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:50,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.02, mean=-0.2395, std=3.769, absmax=14.02 +2025-10-31 16:50:50,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=10.26, mean=-0.229, std=3.222, absmax=12.53 +2025-10-31 16:50:51,074 ERROR: Encountered non-finite generator loss at iter 4625; skipping update. +2025-10-31 16:50:51,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,080 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:51,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:51,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=17.29, mean=-0.01967, std=2.91, absmax=17.29 +2025-10-31 16:50:51,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.258, max=10.85, mean=-0.01158, std=2.332, absmax=10.85 +2025-10-31 16:50:51,576 ERROR: Encountered non-finite generator loss at iter 4626; skipping update. +2025-10-31 16:50:51,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:51,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:51,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:51,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:51,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.87, mean=-0.1323, std=3.084, absmax=12.87 +2025-10-31 16:50:51,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11.49, mean=-0.08788, std=2.583, absmax=11.49 +2025-10-31 16:50:52,078 ERROR: Encountered non-finite generator loss at iter 4627; skipping update. +2025-10-31 16:50:52,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:52,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:52,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=11.86, mean=-0.1652, std=2.525, absmax=14.14 +2025-10-31 16:50:52,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.795, max=7.658, mean=-0.1716, std=2.197, absmax=9.795 +2025-10-31 16:50:52,579 ERROR: Encountered non-finite generator loss at iter 4628; skipping update. +2025-10-31 16:50:52,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:52,585 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:52,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:52,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:52,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=14.2, mean=-0.206, std=2.998, absmax=15.03 +2025-10-31 16:50:52,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=9.104, mean=-0.1746, std=2.42, absmax=11.24 +2025-10-31 16:50:53,078 ERROR: Encountered non-finite generator loss at iter 4629; skipping update. +2025-10-31 16:50:53,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:53,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:53,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=14.09, mean=0.06434, std=2.977, absmax=14.09 +2025-10-31 16:50:53,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.358, max=12.29, mean=0.0811, std=2.693, absmax=12.29 +2025-10-31 16:50:53,580 ERROR: Encountered non-finite generator loss at iter 4630; skipping update. +2025-10-31 16:50:53,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:53,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:53,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:53,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:53,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.04, mean=-0.2556, std=2.664, absmax=12.92 +2025-10-31 16:50:53,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=8.466, mean=-0.2619, std=2.227, absmax=10.1 +2025-10-31 16:50:54,082 ERROR: Encountered non-finite generator loss at iter 4631; skipping update. +2025-10-31 16:50:54,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,084 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:54,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:54,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.68, mean=-0.2876, std=2.716, absmax=13.68 +2025-10-31 16:50:54,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.812, max=10.35, mean=-0.259, std=2.324, absmax=10.35 +2025-10-31 16:50:54,582 ERROR: Encountered non-finite generator loss at iter 4632; skipping update. +2025-10-31 16:50:54,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:54,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:54,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:54,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:54,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.09, max=14.66, mean=-0.1629, std=3.816, absmax=18.09 +2025-10-31 16:50:54,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=11.3, mean=-0.1494, std=3.168, absmax=11.3 +2025-10-31 16:50:55,085 ERROR: Encountered non-finite generator loss at iter 4633; skipping update. +2025-10-31 16:50:55,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:55,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:55,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.75, mean=-0.1348, std=2.635, absmax=12.75 +2025-10-31 16:50:55,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.285, max=8.336, mean=-0.1497, std=2.139, absmax=8.336 +2025-10-31 16:50:55,585 ERROR: Encountered non-finite generator loss at iter 4634; skipping update. +2025-10-31 16:50:55,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:55,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:55,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:55,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:55,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.27, mean=-0.1785, std=2.833, absmax=12.41 +2025-10-31 16:50:55,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.041, mean=-0.1601, std=2.314, absmax=10.95 +2025-10-31 16:50:56,086 ERROR: Encountered non-finite generator loss at iter 4635; skipping update. +2025-10-31 16:50:56,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,089 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:56,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:56,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.08, mean=-0.1059, std=2.953, absmax=13.08 +2025-10-31 16:50:56,096 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.598, mean=-0.135, std=2.475, absmax=10.37 +2025-10-31 16:50:56,586 ERROR: Encountered non-finite generator loss at iter 4636; skipping update. +2025-10-31 16:50:56,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:56,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:56,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:56,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:56,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=16.91, mean=-0.09185, std=3.039, absmax=16.91 +2025-10-31 16:50:56,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.5, max=10.3, mean=-0.1289, std=2.511, absmax=14.5 +2025-10-31 16:50:57,087 ERROR: Encountered non-finite generator loss at iter 4637; skipping update. +2025-10-31 16:50:57,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:57,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:57,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.16, mean=0.1941, std=3.439, absmax=14.38 +2025-10-31 16:50:57,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.999, max=10.72, mean=0.1216, std=2.812, absmax=10.72 +2025-10-31 16:50:57,588 ERROR: Encountered non-finite generator loss at iter 4638; skipping update. +2025-10-31 16:50:57,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,592 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:57,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:57,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:57,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:57,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.76, mean=-0.05039, std=2.631, absmax=11.82 +2025-10-31 16:50:57,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.03, max=10.77, mean=-0.06195, std=2.353, absmax=10.77 +2025-10-31 16:50:58,089 ERROR: Encountered non-finite generator loss at iter 4639; skipping update. +2025-10-31 16:50:58,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:58,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:58,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.96, mean=-0.1102, std=2.62, absmax=13.22 +2025-10-31 16:50:58,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.752, max=10.1, mean=-0.1068, std=2.229, absmax=10.1 +2025-10-31 16:50:58,590 ERROR: Encountered non-finite generator loss at iter 4640; skipping update. +2025-10-31 16:50:58,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,596 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:58,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:58,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:58,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:58,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.14, mean=-0.3032, std=3.09, absmax=15.14 +2025-10-31 16:50:58,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.26, mean=-0.2669, std=2.585, absmax=10.75 +2025-10-31 16:50:59,092 ERROR: Encountered non-finite generator loss at iter 4641; skipping update. +2025-10-31 16:50:59,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:59,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:59,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.76, mean=-0.03902, std=3.03, absmax=14.76 +2025-10-31 16:50:59,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.695, max=10.25, mean=-0.04268, std=2.406, absmax=10.25 +2025-10-31 16:50:59,592 ERROR: Encountered non-finite generator loss at iter 4642; skipping update. +2025-10-31 16:50:59,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:50:59,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:50:59,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:50:59,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:50:59,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.42, max=13.4, mean=-0.2709, std=3.347, absmax=15.42 +2025-10-31 16:50:59,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=9.746, mean=-0.2157, std=2.835, absmax=12.51 +2025-10-31 16:51:00,094 ERROR: Encountered non-finite generator loss at iter 4643; skipping update. +2025-10-31 16:51:00,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:00,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:00,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.3, mean=-0.2415, std=3.36, absmax=14.3 +2025-10-31 16:51:00,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=11.86, mean=-0.273, std=2.854, absmax=11.86 +2025-10-31 16:51:00,594 ERROR: Encountered non-finite generator loss at iter 4644; skipping update. +2025-10-31 16:51:00,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:00,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:00,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:00,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:00,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.48, mean=-0.08254, std=3.362, absmax=15.48 +2025-10-31 16:51:00,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=10.93, mean=-0.01299, std=2.856, absmax=11.14 +2025-10-31 16:51:01,096 ERROR: Encountered non-finite generator loss at iter 4645; skipping update. +2025-10-31 16:51:01,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:01,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:01,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.82, mean=-0.05553, std=3.263, absmax=12.57 +2025-10-31 16:51:01,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.307, mean=-0.009335, std=2.612, absmax=10.3 +2025-10-31 16:51:01,597 ERROR: Encountered non-finite generator loss at iter 4646; skipping update. +2025-10-31 16:51:01,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:01,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:01,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:01,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:01,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.17, mean=-0.364, std=2.817, absmax=11.89 +2025-10-31 16:51:01,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.689, max=7.319, mean=-0.3279, std=2.383, absmax=9.689 +2025-10-31 16:51:02,098 ERROR: Encountered non-finite generator loss at iter 4647; skipping update. +2025-10-31 16:51:02,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:02,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:02,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=16.79, mean=-0.1001, std=3.38, absmax=16.79 +2025-10-31 16:51:02,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=12.09, mean=-0.1078, std=2.699, absmax=12.09 +2025-10-31 16:51:02,600 ERROR: Encountered non-finite generator loss at iter 4648; skipping update. +2025-10-31 16:51:02,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:02,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:02,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:02,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:02,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.99, mean=-0.3735, std=3.073, absmax=12.99 +2025-10-31 16:51:02,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=9.391, mean=-0.3365, std=2.631, absmax=11.36 +2025-10-31 16:51:03,102 ERROR: Encountered non-finite generator loss at iter 4649; skipping update. +2025-10-31 16:51:03,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:03,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:03,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=10.62, mean=-0.2803, std=2.631, absmax=11.59 +2025-10-31 16:51:03,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=7.767, mean=-0.2471, std=2.201, absmax=9.974 +2025-10-31 16:51:03,603 ERROR: Encountered non-finite generator loss at iter 4650; skipping update. +2025-10-31 16:51:03,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:03,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:03,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:03,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:03,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.67, mean=-0.03619, std=3.216, absmax=12.67 +2025-10-31 16:51:03,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.618, max=11.21, mean=-0.02899, std=2.669, absmax=11.21 +2025-10-31 16:51:04,105 ERROR: Encountered non-finite generator loss at iter 4651; skipping update. +2025-10-31 16:51:04,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:04,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:04,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.11, mean=-0.04256, std=3.103, absmax=14.11 +2025-10-31 16:51:04,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.97, mean=-0.039, std=2.562, absmax=11.97 +2025-10-31 16:51:04,606 ERROR: Encountered non-finite generator loss at iter 4652; skipping update. +2025-10-31 16:51:04,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:04,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:04,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:04,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:04,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=12.82, mean=-0.1993, std=3.019, absmax=15.55 +2025-10-31 16:51:04,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=9.636, mean=-0.2511, std=2.439, absmax=11.72 +2025-10-31 16:51:05,106 ERROR: Encountered non-finite generator loss at iter 4653; skipping update. +2025-10-31 16:51:05,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:05,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:05,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.97, mean=-0.08261, std=2.814, absmax=12.97 +2025-10-31 16:51:05,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.658, max=10.48, mean=-0.1051, std=2.196, absmax=10.48 +2025-10-31 16:51:05,607 ERROR: Encountered non-finite generator loss at iter 4654; skipping update. +2025-10-31 16:51:05,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:05,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:05,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:05,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:05,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12, mean=-0.1128, std=2.962, absmax=14.22 +2025-10-31 16:51:05,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=8.54, mean=-0.1394, std=2.394, absmax=11.19 +2025-10-31 16:51:06,108 ERROR: Encountered non-finite generator loss at iter 4655; skipping update. +2025-10-31 16:51:06,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:06,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:06,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=14.07, mean=-0.3434, std=3.597, absmax=14.82 +2025-10-31 16:51:06,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.99, max=10.58, mean=-0.2994, std=3.152, absmax=12.99 +2025-10-31 16:51:06,609 ERROR: Encountered non-finite generator loss at iter 4656; skipping update. +2025-10-31 16:51:06,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:06,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:06,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:06,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:06,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=14.85, mean=0.04322, std=3.196, absmax=14.85 +2025-10-31 16:51:06,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.32, mean=0.01517, std=2.531, absmax=11.32 +2025-10-31 16:51:07,109 ERROR: Encountered non-finite generator loss at iter 4657; skipping update. +2025-10-31 16:51:07,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:07,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:07,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.43, mean=-0.2467, std=3.009, absmax=12.02 +2025-10-31 16:51:07,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.311, max=9.474, mean=-0.2211, std=2.57, absmax=9.474 +2025-10-31 16:51:07,611 ERROR: Encountered non-finite generator loss at iter 4658; skipping update. +2025-10-31 16:51:07,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:07,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:07,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:07,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:07,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.36, mean=-0.1497, std=3.309, absmax=13.02 +2025-10-31 16:51:07,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.78, mean=-0.1427, std=2.763, absmax=10.78 +2025-10-31 16:51:08,112 ERROR: Encountered non-finite generator loss at iter 4659; skipping update. +2025-10-31 16:51:08,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:08,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:08,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.27, mean=-0.1973, std=2.652, absmax=12.75 +2025-10-31 16:51:08,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.556, max=9.161, mean=-0.1999, std=2.114, absmax=9.161 +2025-10-31 16:51:08,615 ERROR: Encountered non-finite generator loss at iter 4660; skipping update. +2025-10-31 16:51:08,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:08,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:08,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:08,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:08,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.24, mean=-0.2697, std=3.407, absmax=13.24 +2025-10-31 16:51:08,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.356, mean=-0.2574, std=2.835, absmax=11.17 +2025-10-31 16:51:09,118 ERROR: Encountered non-finite generator loss at iter 4661; skipping update. +2025-10-31 16:51:09,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:09,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:09,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.06, mean=-0.2124, std=2.462, absmax=13.43 +2025-10-31 16:51:09,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=9.274, mean=-0.1932, std=2.25, absmax=10.92 +2025-10-31 16:51:09,620 ERROR: Encountered non-finite generator loss at iter 4662; skipping update. +2025-10-31 16:51:09,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:09,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:09,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:09,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:09,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.46, mean=-0.1687, std=2.73, absmax=12.49 +2025-10-31 16:51:09,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.479, max=9.933, mean=-0.1555, std=2.31, absmax=9.933 +2025-10-31 16:51:10,124 ERROR: Encountered non-finite generator loss at iter 4663; skipping update. +2025-10-31 16:51:10,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:10,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:10,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.84, max=14.76, mean=-0.2361, std=3.08, absmax=15.84 +2025-10-31 16:51:10,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.395, mean=-0.2152, std=2.513, absmax=11.54 +2025-10-31 16:51:10,628 ERROR: Encountered non-finite generator loss at iter 4664; skipping update. +2025-10-31 16:51:10,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:10,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:10,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:10,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:10,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.2, mean=-0.3322, std=3.054, absmax=13.52 +2025-10-31 16:51:10,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.848, mean=-0.3197, std=2.506, absmax=10.2 +2025-10-31 16:51:11,131 ERROR: Encountered non-finite generator loss at iter 4665; skipping update. +2025-10-31 16:51:11,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,136 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,137 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,138 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,139 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:11,140 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:11,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.7, mean=-0.1444, std=2.519, absmax=12.7 +2025-10-31 16:51:11,142 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.498, max=11.43, mean=-0.1282, std=2.156, absmax=11.43 +2025-10-31 16:51:11,635 ERROR: Encountered non-finite generator loss at iter 4666; skipping update. +2025-10-31 16:51:11,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:11,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:11,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:11,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:11,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.91, mean=-0.2895, std=3.085, absmax=13.91 +2025-10-31 16:51:11,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=9.739, mean=-0.2544, std=2.651, absmax=11.61 +2025-10-31 16:51:12,139 ERROR: Encountered non-finite generator loss at iter 4667; skipping update. +2025-10-31 16:51:12,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,147 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:12,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:12,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=14.13, mean=-0.2847, std=3.226, absmax=14.96 +2025-10-31 16:51:12,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.234, mean=-0.2843, std=2.691, absmax=10.75 +2025-10-31 16:51:12,642 ERROR: Encountered non-finite generator loss at iter 4668; skipping update. +2025-10-31 16:51:12,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:12,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:12,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:12,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:12,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.86, mean=-0.1638, std=3.201, absmax=14.86 +2025-10-31 16:51:12,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.635, mean=-0.1522, std=2.733, absmax=10.85 +2025-10-31 16:51:13,147 ERROR: Encountered non-finite generator loss at iter 4669; skipping update. +2025-10-31 16:51:13,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:13,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:13,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=17.8, mean=0.04523, std=3.697, absmax=17.8 +2025-10-31 16:51:13,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=11.46, mean=0.08602, std=3.211, absmax=11.46 +2025-10-31 16:51:13,651 ERROR: Encountered non-finite generator loss at iter 4670; skipping update. +2025-10-31 16:51:13,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:13,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:13,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:13,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:13,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=13.62, mean=-0.2683, std=2.929, absmax=13.62 +2025-10-31 16:51:13,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.835, max=11.25, mean=-0.2724, std=2.434, absmax=11.25 +2025-10-31 16:51:14,152 ERROR: Encountered non-finite generator loss at iter 4671; skipping update. +2025-10-31 16:51:14,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:14,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:14,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.29, mean=-0.1275, std=2.918, absmax=12.89 +2025-10-31 16:51:14,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.36, max=10.56, mean=-0.1118, std=2.437, absmax=10.56 +2025-10-31 16:51:14,656 ERROR: Encountered non-finite generator loss at iter 4672; skipping update. +2025-10-31 16:51:14,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:14,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:14,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:14,666 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:14,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.83, mean=-0.3932, std=2.828, absmax=12.83 +2025-10-31 16:51:14,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=8.737, mean=-0.3498, std=2.307, absmax=10.8 +2025-10-31 16:51:15,161 ERROR: Encountered non-finite generator loss at iter 4673; skipping update. +2025-10-31 16:51:15,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:15,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:15,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.72, mean=-0.2492, std=2.793, absmax=14.72 +2025-10-31 16:51:15,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.25, max=10.42, mean=-0.2538, std=2.243, absmax=10.42 +2025-10-31 16:51:15,664 ERROR: Encountered non-finite generator loss at iter 4674; skipping update. +2025-10-31 16:51:15,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:15,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:15,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:15,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:15,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=13.97, mean=-0.1228, std=2.899, absmax=13.97 +2025-10-31 16:51:15,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.841, max=10.3, mean=-0.09613, std=2.396, absmax=10.3 +2025-10-31 16:51:16,165 ERROR: Encountered non-finite generator loss at iter 4675; skipping update. +2025-10-31 16:51:16,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:16,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:16,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.15, mean=-0.1263, std=2.438, absmax=12.15 +2025-10-31 16:51:16,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.976, max=7.405, mean=-0.1545, std=2.059, absmax=8.976 +2025-10-31 16:51:16,667 ERROR: Encountered non-finite generator loss at iter 4676; skipping update. +2025-10-31 16:51:16,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:16,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:16,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:16,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:16,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.51, mean=-0.0889, std=3.277, absmax=12.51 +2025-10-31 16:51:16,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.516, max=9.86, mean=-0.09335, std=2.585, absmax=9.86 +2025-10-31 16:51:17,169 ERROR: Encountered non-finite generator loss at iter 4677; skipping update. +2025-10-31 16:51:17,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:17,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:17,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.43, max=15.56, mean=-0.272, std=3.946, absmax=15.56 +2025-10-31 16:51:17,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=12.02, mean=-0.2209, std=3.27, absmax=12.02 +2025-10-31 16:51:17,672 ERROR: Encountered non-finite generator loss at iter 4678; skipping update. +2025-10-31 16:51:17,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:17,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:17,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:17,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:17,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.38, mean=-0.06976, std=2.975, absmax=13.38 +2025-10-31 16:51:17,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=12.08, mean=-0.08299, std=2.672, absmax=12.08 +2025-10-31 16:51:18,175 ERROR: Encountered non-finite generator loss at iter 4679; skipping update. +2025-10-31 16:51:18,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:18,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:18,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.43, mean=0.03231, std=3.332, absmax=13.43 +2025-10-31 16:51:18,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.767, max=12.24, mean=0.009375, std=2.798, absmax=12.24 +2025-10-31 16:51:18,680 ERROR: Encountered non-finite generator loss at iter 4680; skipping update. +2025-10-31 16:51:18,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:18,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:18,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:18,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:18,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.29, mean=-0.2019, std=3.064, absmax=14.29 +2025-10-31 16:51:18,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=10.72, mean=-0.2136, std=2.618, absmax=12.28 +2025-10-31 16:51:19,183 ERROR: Encountered non-finite generator loss at iter 4681; skipping update. +2025-10-31 16:51:19,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:19,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:19,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.49, mean=0.2137, std=3.47, absmax=14.49 +2025-10-31 16:51:19,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=11.69, mean=0.1653, std=3.074, absmax=11.69 +2025-10-31 16:51:19,686 ERROR: Encountered non-finite generator loss at iter 4682; skipping update. +2025-10-31 16:51:19,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:19,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:19,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:19,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:19,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.78, mean=-0.01001, std=3.315, absmax=14.76 +2025-10-31 16:51:19,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.33, mean=-0.02939, std=2.769, absmax=10.67 +2025-10-31 16:51:20,188 ERROR: Encountered non-finite generator loss at iter 4683; skipping update. +2025-10-31 16:51:20,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:20,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:20,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.09, mean=-0.2151, std=2.701, absmax=11.22 +2025-10-31 16:51:20,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.625, max=9.154, mean=-0.2066, std=2.357, absmax=9.625 +2025-10-31 16:51:20,690 ERROR: Encountered non-finite generator loss at iter 4684; skipping update. +2025-10-31 16:51:20,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,693 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:20,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:20,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:20,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:20,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.11, mean=-0.2709, std=2.815, absmax=13.11 +2025-10-31 16:51:20,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.691, mean=-0.2264, std=2.376, absmax=10.21 +2025-10-31 16:51:21,193 ERROR: Encountered non-finite generator loss at iter 4685; skipping update. +2025-10-31 16:51:21,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:21,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:21,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=9.276, mean=-0.1913, std=2.055, absmax=12.94 +2025-10-31 16:51:21,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.863, max=6.717, mean=-0.1974, std=1.862, absmax=9.863 +2025-10-31 16:51:21,693 ERROR: Encountered non-finite generator loss at iter 4686; skipping update. +2025-10-31 16:51:21,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,695 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:21,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:21,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:21,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:21,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=11.84, mean=-0.1975, std=2.35, absmax=13.65 +2025-10-31 16:51:21,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.832, mean=-0.1809, std=1.974, absmax=11.18 +2025-10-31 16:51:22,197 ERROR: Encountered non-finite generator loss at iter 4687; skipping update. +2025-10-31 16:51:22,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:22,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:22,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=11.83, mean=-0.2521, std=2.821, absmax=15.05 +2025-10-31 16:51:22,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=8.179, mean=-0.2077, std=2.288, absmax=11.57 +2025-10-31 16:51:22,700 ERROR: Encountered non-finite generator loss at iter 4688; skipping update. +2025-10-31 16:51:22,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:22,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:22,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:22,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:22,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.25, mean=-0.1356, std=2.846, absmax=13.25 +2025-10-31 16:51:22,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.51, max=12.36, mean=-0.1244, std=2.513, absmax=12.36 +2025-10-31 16:51:23,202 ERROR: Encountered non-finite generator loss at iter 4689; skipping update. +2025-10-31 16:51:23,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:23,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:23,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.82, mean=-0.2555, std=3.069, absmax=12.82 +2025-10-31 16:51:23,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.736, mean=-0.2317, std=2.532, absmax=11.16 +2025-10-31 16:51:23,706 ERROR: Encountered non-finite generator loss at iter 4690; skipping update. +2025-10-31 16:51:23,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:23,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:23,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:23,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:23,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.69, mean=-0.08541, std=3.245, absmax=14.69 +2025-10-31 16:51:23,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=13.25, mean=-0.1456, std=2.747, absmax=13.25 +2025-10-31 16:51:24,207 ERROR: Encountered non-finite generator loss at iter 4691; skipping update. +2025-10-31 16:51:24,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:24,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:24,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.31, mean=-0.1711, std=2.404, absmax=12.85 +2025-10-31 16:51:24,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.049, max=9.055, mean=-0.2135, std=2.062, absmax=9.055 +2025-10-31 16:51:24,708 ERROR: Encountered non-finite generator loss at iter 4692; skipping update. +2025-10-31 16:51:24,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,711 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:24,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:24,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:24,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:24,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=10.59, mean=-0.3077, std=2.744, absmax=13.36 +2025-10-31 16:51:24,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=7.483, mean=-0.2952, std=2.412, absmax=11.32 +2025-10-31 16:51:25,211 ERROR: Encountered non-finite generator loss at iter 4693; skipping update. +2025-10-31 16:51:25,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:25,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:25,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.92, mean=-0.1374, std=2.837, absmax=13.92 +2025-10-31 16:51:25,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.179, max=10.32, mean=-0.1638, std=2.42, absmax=10.32 +2025-10-31 16:51:25,710 ERROR: Encountered non-finite generator loss at iter 4694; skipping update. +2025-10-31 16:51:25,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:25,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:25,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:25,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:25,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.02, mean=-0.1697, std=3.02, absmax=13.63 +2025-10-31 16:51:25,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=9.87, mean=-0.1627, std=2.644, absmax=11.6 +2025-10-31 16:51:26,212 ERROR: Encountered non-finite generator loss at iter 4695; skipping update. +2025-10-31 16:51:26,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,214 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:26,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:26,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=9.711, mean=-0.3194, std=2.904, absmax=13.69 +2025-10-31 16:51:26,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=8.64, mean=-0.3067, std=2.52, absmax=10.31 +2025-10-31 16:51:26,716 ERROR: Encountered non-finite generator loss at iter 4696; skipping update. +2025-10-31 16:51:26,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:26,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:26,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:26,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:26,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.14, mean=-0.2541, std=2.963, absmax=13.1 +2025-10-31 16:51:26,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=7.82, mean=-0.2624, std=2.528, absmax=10.78 +2025-10-31 16:51:27,219 ERROR: Encountered non-finite generator loss at iter 4697; skipping update. +2025-10-31 16:51:27,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,222 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:27,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:27,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.5, mean=-0.2083, std=3.245, absmax=13.72 +2025-10-31 16:51:27,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=9.409, mean=-0.2242, std=2.6, absmax=10.77 +2025-10-31 16:51:27,722 ERROR: Encountered non-finite generator loss at iter 4698; skipping update. +2025-10-31 16:51:27,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:27,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:27,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:27,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:27,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.79, mean=-0.2495, std=2.758, absmax=13.79 +2025-10-31 16:51:27,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.652, mean=-0.2156, std=2.219, absmax=10.72 +2025-10-31 16:51:28,224 ERROR: Encountered non-finite generator loss at iter 4699; skipping update. +2025-10-31 16:51:28,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:28,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:28,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.37, mean=-0.2428, std=2.652, absmax=12.36 +2025-10-31 16:51:28,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=7.675, mean=-0.2279, std=2.4, absmax=10.57 +2025-10-31 16:51:28,726 ERROR: Encountered non-finite generator loss at iter 4700; skipping update. +2025-10-31 16:51:28,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:28,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:28,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:28,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:28,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.33, mean=-0.3011, std=3.112, absmax=12.84 +2025-10-31 16:51:28,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=7.675, mean=-0.2744, std=2.422, absmax=10.17 +2025-10-31 16:51:28,737 INFO: [29..][epoch: 0, step: 4,700, lr:(1.500e-04,)] [eta: 1 day, 17:16:47, time (data): 0.502 (0.000)] +2025-10-31 16:51:29,227 ERROR: Encountered non-finite generator loss at iter 4701; skipping update. +2025-10-31 16:51:29,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:29,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:29,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=15.14, mean=0.17, std=3.436, absmax=15.14 +2025-10-31 16:51:29,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.03, max=14.81, mean=0.2326, std=3.236, absmax=14.81 +2025-10-31 16:51:29,728 ERROR: Encountered non-finite generator loss at iter 4702; skipping update. +2025-10-31 16:51:29,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:29,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:29,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:29,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:29,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=15.45, mean=-0.1015, std=3.266, absmax=15.45 +2025-10-31 16:51:29,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=13.49, mean=-0.118, std=2.779, absmax=13.49 +2025-10-31 16:51:30,229 ERROR: Encountered non-finite generator loss at iter 4703; skipping update. +2025-10-31 16:51:30,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:30,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:30,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=15.49, mean=-0.2744, std=3.24, absmax=15.49 +2025-10-31 16:51:30,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.27, mean=-0.2875, std=2.564, absmax=11.03 +2025-10-31 16:51:30,727 ERROR: Encountered non-finite generator loss at iter 4704; skipping update. +2025-10-31 16:51:30,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:30,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:30,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:30,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:30,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.36, mean=-0.07092, std=3.065, absmax=12 +2025-10-31 16:51:30,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=12.17, mean=-0.03469, std=2.846, absmax=12.17 +2025-10-31 16:51:31,227 ERROR: Encountered non-finite generator loss at iter 4705; skipping update. +2025-10-31 16:51:31,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:31,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:31,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.84, mean=-0.1428, std=2.728, absmax=12.17 +2025-10-31 16:51:31,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.182, max=9.021, mean=-0.1356, std=2.266, absmax=9.182 +2025-10-31 16:51:31,727 ERROR: Encountered non-finite generator loss at iter 4706; skipping update. +2025-10-31 16:51:31,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:31,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:31,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:31,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:31,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=12.23, mean=-0.09385, std=2.995, absmax=12.23 +2025-10-31 16:51:31,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.634, max=8.777, mean=-0.1026, std=2.377, absmax=9.634 +2025-10-31 16:51:32,229 ERROR: Encountered non-finite generator loss at iter 4707; skipping update. +2025-10-31 16:51:32,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:32,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:32,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.67, max=16.78, mean=-0.2895, std=3.185, absmax=17.67 +2025-10-31 16:51:32,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.664, max=11.37, mean=-0.2639, std=2.697, absmax=11.37 +2025-10-31 16:51:32,728 ERROR: Encountered non-finite generator loss at iter 4708; skipping update. +2025-10-31 16:51:32,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:32,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:32,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:32,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:32,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.4, mean=-0.3022, std=2.509, absmax=12.21 +2025-10-31 16:51:32,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.201, max=7.533, mean=-0.2784, std=2.137, absmax=9.201 +2025-10-31 16:51:33,227 ERROR: Encountered non-finite generator loss at iter 4709; skipping update. +2025-10-31 16:51:33,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:33,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:33,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=14.05, mean=-0.2912, std=3.306, absmax=14.57 +2025-10-31 16:51:33,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=10.63, mean=-0.2885, std=2.676, absmax=11.17 +2025-10-31 16:51:33,728 ERROR: Encountered non-finite generator loss at iter 4710; skipping update. +2025-10-31 16:51:33,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:33,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:33,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:33,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:33,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.71, mean=-0.2019, std=3.576, absmax=14.71 +2025-10-31 16:51:33,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=11.61, mean=-0.1407, std=2.928, absmax=11.61 +2025-10-31 16:51:34,228 ERROR: Encountered non-finite generator loss at iter 4711; skipping update. +2025-10-31 16:51:34,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:34,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:34,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.71, mean=-0.2658, std=2.976, absmax=13.56 +2025-10-31 16:51:34,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.439, mean=-0.2813, std=2.545, absmax=10.61 +2025-10-31 16:51:34,729 ERROR: Encountered non-finite generator loss at iter 4712; skipping update. +2025-10-31 16:51:34,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:34,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:34,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:34,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:34,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.44, mean=-0.239, std=2.563, absmax=14.44 +2025-10-31 16:51:34,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.919, max=8.767, mean=-0.2069, std=2.077, absmax=8.919 +2025-10-31 16:51:35,230 ERROR: Encountered non-finite generator loss at iter 4713; skipping update. +2025-10-31 16:51:35,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:35,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:35,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.85, mean=-0.2635, std=3.079, absmax=13.99 +2025-10-31 16:51:35,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.892, max=11.49, mean=-0.2342, std=2.555, absmax=11.49 +2025-10-31 16:51:35,731 ERROR: Encountered non-finite generator loss at iter 4714; skipping update. +2025-10-31 16:51:35,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:35,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:35,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:35,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:35,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=14.72, mean=-0.1975, std=2.297, absmax=14.72 +2025-10-31 16:51:35,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=8.412, mean=-0.2183, std=2.08, absmax=11.46 +2025-10-31 16:51:36,233 ERROR: Encountered non-finite generator loss at iter 4715; skipping update. +2025-10-31 16:51:36,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:36,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:36,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.93, mean=-0.2389, std=2.604, absmax=12.71 +2025-10-31 16:51:36,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.382, max=8.31, mean=-0.2133, std=2.151, absmax=9.382 +2025-10-31 16:51:36,735 ERROR: Encountered non-finite generator loss at iter 4716; skipping update. +2025-10-31 16:51:36,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:36,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:36,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:36,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:36,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.09, mean=-0.02431, std=3.503, absmax=15.09 +2025-10-31 16:51:36,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.967, max=14.49, mean=0.02938, std=3.147, absmax=14.49 +2025-10-31 16:51:37,236 ERROR: Encountered non-finite generator loss at iter 4717; skipping update. +2025-10-31 16:51:37,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:37,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:37,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=11.17, mean=-0.2072, std=3.255, absmax=15.31 +2025-10-31 16:51:37,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.863, mean=-0.1889, std=2.804, absmax=11.08 +2025-10-31 16:51:37,739 ERROR: Encountered non-finite generator loss at iter 4718; skipping update. +2025-10-31 16:51:37,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:37,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:37,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:37,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:37,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=14.38, mean=-0.15, std=2.771, absmax=14.38 +2025-10-31 16:51:37,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.56, mean=-0.1388, std=2.217, absmax=10.91 +2025-10-31 16:51:38,238 ERROR: Encountered non-finite generator loss at iter 4719; skipping update. +2025-10-31 16:51:38,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:38,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:38,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=16.17, mean=-0.03236, std=3.022, absmax=16.17 +2025-10-31 16:51:38,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.181, max=10.53, mean=-0.04631, std=2.358, absmax=10.53 +2025-10-31 16:51:38,741 ERROR: Encountered non-finite generator loss at iter 4720; skipping update. +2025-10-31 16:51:38,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:38,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:38,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:38,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:38,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=16.26, mean=-0.03168, std=3.33, absmax=16.26 +2025-10-31 16:51:38,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=11.35, mean=-0.03663, std=2.715, absmax=11.35 +2025-10-31 16:51:39,243 ERROR: Encountered non-finite generator loss at iter 4721; skipping update. +2025-10-31 16:51:39,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:39,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:39,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.59, mean=-0.1712, std=2.771, absmax=12.38 +2025-10-31 16:51:39,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=10.25, mean=-0.1714, std=2.388, absmax=10.25 +2025-10-31 16:51:39,745 ERROR: Encountered non-finite generator loss at iter 4722; skipping update. +2025-10-31 16:51:39,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:39,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:39,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:39,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:39,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=13.73, mean=0.03058, std=3.24, absmax=13.73 +2025-10-31 16:51:39,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.756, max=11.64, mean=-0.009317, std=2.759, absmax=11.64 +2025-10-31 16:51:40,245 ERROR: Encountered non-finite generator loss at iter 4723; skipping update. +2025-10-31 16:51:40,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:40,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:40,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.19, mean=0.02448, std=2.829, absmax=12.19 +2025-10-31 16:51:40,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.418, max=9.434, mean=0.06499, std=2.535, absmax=9.434 +2025-10-31 16:51:40,745 ERROR: Encountered non-finite generator loss at iter 4724; skipping update. +2025-10-31 16:51:40,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:40,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:40,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:40,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:40,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.75, mean=0.05983, std=3.334, absmax=13.75 +2025-10-31 16:51:40,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.38, mean=0.04885, std=2.876, absmax=11.38 +2025-10-31 16:51:41,249 ERROR: Encountered non-finite generator loss at iter 4725; skipping update. +2025-10-31 16:51:41,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:41,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:41,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=14.16, mean=-0.09455, std=3.096, absmax=15.49 +2025-10-31 16:51:41,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.08, max=11.68, mean=-0.0719, std=2.594, absmax=13.08 +2025-10-31 16:51:41,749 ERROR: Encountered non-finite generator loss at iter 4726; skipping update. +2025-10-31 16:51:41,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:41,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:41,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:41,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:41,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.24, mean=-0.01125, std=3.5, absmax=14.24 +2025-10-31 16:51:41,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.471, max=10.64, mean=-0.03906, std=2.721, absmax=10.64 +2025-10-31 16:51:42,252 ERROR: Encountered non-finite generator loss at iter 4727; skipping update. +2025-10-31 16:51:42,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:42,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:42,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=11.74, mean=-0.2462, std=3.214, absmax=13.64 +2025-10-31 16:51:42,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.737, mean=-0.2633, std=2.709, absmax=10.63 +2025-10-31 16:51:42,759 ERROR: Encountered non-finite generator loss at iter 4728; skipping update. +2025-10-31 16:51:42,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:42,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:42,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:42,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:42,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.95, mean=-0.05616, std=3.336, absmax=13.95 +2025-10-31 16:51:42,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=12.43, mean=-0.06985, std=2.854, absmax=12.43 +2025-10-31 16:51:43,262 ERROR: Encountered non-finite generator loss at iter 4729; skipping update. +2025-10-31 16:51:43,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:43,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:43,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=18.24, mean=-0.2912, std=3.757, absmax=18.24 +2025-10-31 16:51:43,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.06, max=12.12, mean=-0.2405, std=3.322, absmax=13.06 +2025-10-31 16:51:43,766 ERROR: Encountered non-finite generator loss at iter 4730; skipping update. +2025-10-31 16:51:43,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:43,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:43,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:43,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:43,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=15.15, mean=-0.3022, std=2.996, absmax=15.15 +2025-10-31 16:51:43,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=8.789, mean=-0.2829, std=2.381, absmax=10.1 +2025-10-31 16:51:44,269 ERROR: Encountered non-finite generator loss at iter 4731; skipping update. +2025-10-31 16:51:44,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:44,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:44,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.14, mean=-0.07343, std=2.908, absmax=14.14 +2025-10-31 16:51:44,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=10.58, mean=-0.05212, std=2.602, absmax=11.48 +2025-10-31 16:51:44,770 ERROR: Encountered non-finite generator loss at iter 4732; skipping update. +2025-10-31 16:51:44,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:44,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:44,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:44,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:44,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.35, mean=-0.111, std=3.143, absmax=12.84 +2025-10-31 16:51:44,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.564, max=9.748, mean=-0.1314, std=2.533, absmax=9.748 +2025-10-31 16:51:45,273 ERROR: Encountered non-finite generator loss at iter 4733; skipping update. +2025-10-31 16:51:45,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:45,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:45,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.66, mean=-0.1254, std=2.936, absmax=11.75 +2025-10-31 16:51:45,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.506, max=9.29, mean=-0.1048, std=2.533, absmax=9.506 +2025-10-31 16:51:45,775 ERROR: Encountered non-finite generator loss at iter 4734; skipping update. +2025-10-31 16:51:45,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:45,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:45,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:45,784 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:45,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.16, mean=-0.1818, std=2.7, absmax=13.16 +2025-10-31 16:51:45,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.998, mean=-0.2197, std=2.26, absmax=10.91 +2025-10-31 16:51:46,279 ERROR: Encountered non-finite generator loss at iter 4735; skipping update. +2025-10-31 16:51:46,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:46,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:46,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.91, mean=-0.1765, std=2.502, absmax=12.91 +2025-10-31 16:51:46,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.537, max=8.204, mean=-0.1749, std=1.943, absmax=8.537 +2025-10-31 16:51:46,778 ERROR: Encountered non-finite generator loss at iter 4736; skipping update. +2025-10-31 16:51:46,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:46,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:46,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:46,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:46,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.44, max=11.44, mean=-0.1396, std=2.613, absmax=11.44 +2025-10-31 16:51:46,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.587, max=8.543, mean=-0.1657, std=2.196, absmax=8.587 +2025-10-31 16:51:47,280 ERROR: Encountered non-finite generator loss at iter 4737; skipping update. +2025-10-31 16:51:47,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:47,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:47,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=11.64, mean=-0.2751, std=3.724, absmax=14.84 +2025-10-31 16:51:47,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=8.963, mean=-0.2874, std=3.178, absmax=11.58 +2025-10-31 16:51:47,782 ERROR: Encountered non-finite generator loss at iter 4738; skipping update. +2025-10-31 16:51:47,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,786 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:47,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:47,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:47,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:47,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.66, mean=0.0529, std=3.433, absmax=15.66 +2025-10-31 16:51:47,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=10.93, mean=0.0197, std=2.629, absmax=10.94 +2025-10-31 16:51:48,285 ERROR: Encountered non-finite generator loss at iter 4739; skipping update. +2025-10-31 16:51:48,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:48,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:48,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.58, mean=-0.1888, std=2.64, absmax=12.56 +2025-10-31 16:51:48,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.776, max=9.26, mean=-0.2166, std=2.382, absmax=9.776 +2025-10-31 16:51:48,788 ERROR: Encountered non-finite generator loss at iter 4740; skipping update. +2025-10-31 16:51:48,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:48,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:48,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:48,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:48,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=10.29, mean=-0.2258, std=2.793, absmax=12.82 +2025-10-31 16:51:48,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.204, mean=-0.2279, std=2.377, absmax=10.95 +2025-10-31 16:51:49,289 ERROR: Encountered non-finite generator loss at iter 4741; skipping update. +2025-10-31 16:51:49,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:49,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:49,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.6, mean=-0.2107, std=3.108, absmax=12.6 +2025-10-31 16:51:49,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=9.156, mean=-0.1842, std=2.562, absmax=11.57 +2025-10-31 16:51:49,791 ERROR: Encountered non-finite generator loss at iter 4742; skipping update. +2025-10-31 16:51:49,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:49,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:49,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:49,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:49,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=14.13, mean=-0.1002, std=2.888, absmax=14.13 +2025-10-31 16:51:49,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.59, mean=-0.1324, std=2.417, absmax=11.59 +2025-10-31 16:51:50,292 ERROR: Encountered non-finite generator loss at iter 4743; skipping update. +2025-10-31 16:51:50,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:50,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:50,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.24, mean=-0.1127, std=3.245, absmax=13.47 +2025-10-31 16:51:50,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.4, mean=-0.06501, std=2.885, absmax=11.4 +2025-10-31 16:51:50,795 ERROR: Encountered non-finite generator loss at iter 4744; skipping update. +2025-10-31 16:51:50,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:50,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:50,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:50,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:50,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.51, mean=-0.03488, std=3.092, absmax=11.51 +2025-10-31 16:51:50,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.776, max=10.2, mean=-0.03177, std=2.69, absmax=10.2 +2025-10-31 16:51:51,297 ERROR: Encountered non-finite generator loss at iter 4745; skipping update. +2025-10-31 16:51:51,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:51,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:51,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.83, mean=-0.06171, std=2.952, absmax=13.83 +2025-10-31 16:51:51,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.82, mean=-0.01368, std=2.618, absmax=10.82 +2025-10-31 16:51:51,800 ERROR: Encountered non-finite generator loss at iter 4746; skipping update. +2025-10-31 16:51:51,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:51,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:51,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:51,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:51,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.05, mean=0.01045, std=3.325, absmax=15.05 +2025-10-31 16:51:51,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=14.22, mean=0.06665, std=2.931, absmax=14.22 +2025-10-31 16:51:52,302 ERROR: Encountered non-finite generator loss at iter 4747; skipping update. +2025-10-31 16:51:52,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:52,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:52,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=11, mean=-0.2368, std=2.46, absmax=11 +2025-10-31 16:51:52,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.748, max=7.658, mean=-0.2329, std=2.11, absmax=8.748 +2025-10-31 16:51:52,804 ERROR: Encountered non-finite generator loss at iter 4748; skipping update. +2025-10-31 16:51:52,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:52,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:52,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:52,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:52,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.99, mean=-0.0886, std=2.684, absmax=12.99 +2025-10-31 16:51:52,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=11, mean=-0.117, std=2.33, absmax=11 +2025-10-31 16:51:53,305 ERROR: Encountered non-finite generator loss at iter 4749; skipping update. +2025-10-31 16:51:53,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:53,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:53,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=13.36, mean=-0.01179, std=2.822, absmax=13.36 +2025-10-31 16:51:53,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.363, max=10.38, mean=-0.07147, std=2.356, absmax=10.38 +2025-10-31 16:51:53,805 ERROR: Encountered non-finite generator loss at iter 4750; skipping update. +2025-10-31 16:51:53,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:53,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:53,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:53,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:53,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=12.66, mean=-0.2028, std=3.162, absmax=13.86 +2025-10-31 16:51:53,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=9.75, mean=-0.1728, std=2.849, absmax=12.14 +2025-10-31 16:51:54,305 ERROR: Encountered non-finite generator loss at iter 4751; skipping update. +2025-10-31 16:51:54,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:54,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:54,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.38, mean=-0.2647, std=2.932, absmax=12.7 +2025-10-31 16:51:54,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=8.769, mean=-0.235, std=2.434, absmax=10.28 +2025-10-31 16:51:54,806 ERROR: Encountered non-finite generator loss at iter 4752; skipping update. +2025-10-31 16:51:54,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:54,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:54,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:54,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:54,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.28, max=16.03, mean=-0.0423, std=3.151, absmax=17.28 +2025-10-31 16:51:54,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=13.47, mean=-0.03022, std=2.561, absmax=13.47 +2025-10-31 16:51:55,308 ERROR: Encountered non-finite generator loss at iter 4753; skipping update. +2025-10-31 16:51:55,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:55,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:55,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=10.91, mean=-0.1197, std=2.728, absmax=12.3 +2025-10-31 16:51:55,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.108, max=10.13, mean=-0.1268, std=2.385, absmax=10.13 +2025-10-31 16:51:55,809 ERROR: Encountered non-finite generator loss at iter 4754; skipping update. +2025-10-31 16:51:55,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:55,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:55,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:55,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:55,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.85, mean=-0.1363, std=2.817, absmax=12.85 +2025-10-31 16:51:55,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=9.123, mean=-0.1494, std=2.457, absmax=9.351 +2025-10-31 16:51:56,311 ERROR: Encountered non-finite generator loss at iter 4755; skipping update. +2025-10-31 16:51:56,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,317 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,318 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,319 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:56,320 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:56,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.84, mean=-0.1235, std=3.289, absmax=12.84 +2025-10-31 16:51:56,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.954, mean=-0.1163, std=2.563, absmax=10.16 +2025-10-31 16:51:56,815 ERROR: Encountered non-finite generator loss at iter 4756; skipping update. +2025-10-31 16:51:56,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:56,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:56,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:56,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:56,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=12.51, mean=0.1337, std=3.613, absmax=15.76 +2025-10-31 16:51:56,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.01, max=10.82, mean=0.08999, std=3.134, absmax=13.01 +2025-10-31 16:51:57,321 ERROR: Encountered non-finite generator loss at iter 4757; skipping update. +2025-10-31 16:51:57,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:57,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:57,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.35, mean=-0.1444, std=2.672, absmax=12.24 +2025-10-31 16:51:57,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.631, max=9.213, mean=-0.1327, std=2.22, absmax=9.631 +2025-10-31 16:51:57,824 ERROR: Encountered non-finite generator loss at iter 4758; skipping update. +2025-10-31 16:51:57,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:57,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:57,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:57,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:57,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=11.34, mean=-0.2222, std=2.854, absmax=14.33 +2025-10-31 16:51:57,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.913, max=10.22, mean=-0.2096, std=2.308, absmax=10.22 +2025-10-31 16:51:58,327 ERROR: Encountered non-finite generator loss at iter 4759; skipping update. +2025-10-31 16:51:58,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:58,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:58,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.22, mean=-0.1475, std=3.381, absmax=14.22 +2025-10-31 16:51:58,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=11.52, mean=-0.1483, std=2.827, absmax=12.08 +2025-10-31 16:51:58,829 ERROR: Encountered non-finite generator loss at iter 4760; skipping update. +2025-10-31 16:51:58,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:58,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:58,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:58,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:58,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.09, mean=-0.2295, std=2.967, absmax=12.09 +2025-10-31 16:51:58,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.087, max=9.809, mean=-0.1729, std=2.338, absmax=9.809 +2025-10-31 16:51:59,332 ERROR: Encountered non-finite generator loss at iter 4761; skipping update. +2025-10-31 16:51:59,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:59,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:59,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.85, mean=-0.2048, std=2.876, absmax=12.85 +2025-10-31 16:51:59,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.283, mean=-0.2041, std=2.261, absmax=10.88 +2025-10-31 16:51:59,833 ERROR: Encountered non-finite generator loss at iter 4762; skipping update. +2025-10-31 16:51:59,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:51:59,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:51:59,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:51:59,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:51:59,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.56, mean=-0.2284, std=3.033, absmax=13.56 +2025-10-31 16:51:59,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.84, mean=-0.1982, std=2.558, absmax=11.84 +2025-10-31 16:52:00,335 ERROR: Encountered non-finite generator loss at iter 4763; skipping update. +2025-10-31 16:52:00,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:00,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:00,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.45, mean=-0.2417, std=3.556, absmax=14.45 +2025-10-31 16:52:00,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.3, mean=-0.2056, std=2.849, absmax=11.3 +2025-10-31 16:52:00,838 ERROR: Encountered non-finite generator loss at iter 4764; skipping update. +2025-10-31 16:52:00,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:00,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:00,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:00,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:00,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.9, mean=-0.2428, std=2.926, absmax=13.7 +2025-10-31 16:52:00,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.555, max=9.941, mean=-0.2334, std=2.302, absmax=9.941 +2025-10-31 16:52:01,339 ERROR: Encountered non-finite generator loss at iter 4765; skipping update. +2025-10-31 16:52:01,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:01,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:01,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=15.45, mean=-0.181, std=2.678, absmax=15.45 +2025-10-31 16:52:01,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=10.71, mean=-0.1333, std=2.363, absmax=10.71 +2025-10-31 16:52:01,840 ERROR: Encountered non-finite generator loss at iter 4766; skipping update. +2025-10-31 16:52:01,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:01,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:01,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:01,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:01,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.81, mean=-0.2096, std=2.755, absmax=13.81 +2025-10-31 16:52:01,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.93, mean=-0.2155, std=2.391, absmax=10.93 +2025-10-31 16:52:02,342 ERROR: Encountered non-finite generator loss at iter 4767; skipping update. +2025-10-31 16:52:02,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:02,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:02,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.09, mean=-0.04576, std=3.624, absmax=15.09 +2025-10-31 16:52:02,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=13.35, mean=-0.05049, std=3.041, absmax=13.35 +2025-10-31 16:52:02,843 ERROR: Encountered non-finite generator loss at iter 4768; skipping update. +2025-10-31 16:52:02,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:02,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:02,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:02,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:02,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=11.87, mean=-0.4039, std=3.081, absmax=15.61 +2025-10-31 16:52:02,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.75, max=9.024, mean=-0.3446, std=2.789, absmax=12.75 +2025-10-31 16:52:03,345 ERROR: Encountered non-finite generator loss at iter 4769; skipping update. +2025-10-31 16:52:03,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:03,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:03,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.61, mean=-0.09697, std=2.946, absmax=13.61 +2025-10-31 16:52:03,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.514, max=10.06, mean=-0.09834, std=2.477, absmax=10.06 +2025-10-31 16:52:03,847 ERROR: Encountered non-finite generator loss at iter 4770; skipping update. +2025-10-31 16:52:03,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:03,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:03,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:03,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:03,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.07, mean=-0.174, std=2.422, absmax=13.07 +2025-10-31 16:52:03,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.104, max=8.511, mean=-0.1663, std=2.117, absmax=9.104 +2025-10-31 16:52:04,349 ERROR: Encountered non-finite generator loss at iter 4771; skipping update. +2025-10-31 16:52:04,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:04,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:04,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=14.47, mean=-0.07483, std=4.072, absmax=15.78 +2025-10-31 16:52:04,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13, max=11.58, mean=-0.07578, std=3.529, absmax=13 +2025-10-31 16:52:04,852 ERROR: Encountered non-finite generator loss at iter 4772; skipping update. +2025-10-31 16:52:04,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:04,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:04,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:04,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:04,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.56, mean=0.1344, std=3.533, absmax=14.56 +2025-10-31 16:52:04,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=11.75, mean=0.1772, std=3.032, absmax=11.75 +2025-10-31 16:52:05,354 ERROR: Encountered non-finite generator loss at iter 4773; skipping update. +2025-10-31 16:52:05,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:05,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:05,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=9.859, mean=-0.2761, std=2.365, absmax=11.1 +2025-10-31 16:52:05,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.847, max=7.84, mean=-0.2657, std=2.179, absmax=8.847 +2025-10-31 16:52:05,857 ERROR: Encountered non-finite generator loss at iter 4774; skipping update. +2025-10-31 16:52:05,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:05,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:05,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:05,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:05,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.34, mean=-0.2484, std=2.916, absmax=13.34 +2025-10-31 16:52:05,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.531, max=10.11, mean=-0.2015, std=2.321, absmax=10.11 +2025-10-31 16:52:06,356 ERROR: Encountered non-finite generator loss at iter 4775; skipping update. +2025-10-31 16:52:06,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,359 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,361 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,364 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:06,365 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:06,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=15.16, mean=-0.05701, std=3.371, absmax=15.16 +2025-10-31 16:52:06,367 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=14.82, mean=-0.02161, std=3.143, absmax=14.82 +2025-10-31 16:52:06,860 ERROR: Encountered non-finite generator loss at iter 4776; skipping update. +2025-10-31 16:52:06,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:06,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:06,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:06,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:06,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.02, mean=-0.1368, std=2.595, absmax=14.02 +2025-10-31 16:52:06,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.021, max=9.572, mean=-0.09236, std=2.207, absmax=9.572 +2025-10-31 16:52:07,363 ERROR: Encountered non-finite generator loss at iter 4777; skipping update. +2025-10-31 16:52:07,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,365 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,365 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,366 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:07,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:07,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.81, mean=-0.1386, std=2.92, absmax=11.91 +2025-10-31 16:52:07,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.659, max=9.91, mean=-0.1946, std=2.532, absmax=9.91 +2025-10-31 16:52:07,864 ERROR: Encountered non-finite generator loss at iter 4778; skipping update. +2025-10-31 16:52:07,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:07,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:07,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:07,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:07,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.8, mean=-0.2426, std=3.006, absmax=13.8 +2025-10-31 16:52:07,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=11.56, mean=-0.238, std=2.559, absmax=11.56 +2025-10-31 16:52:08,366 ERROR: Encountered non-finite generator loss at iter 4779; skipping update. +2025-10-31 16:52:08,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:08,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:08,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=17.65, mean=-0.3111, std=3.348, absmax=17.65 +2025-10-31 16:52:08,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=9.985, mean=-0.3361, std=2.813, absmax=11.48 +2025-10-31 16:52:08,868 ERROR: Encountered non-finite generator loss at iter 4780; skipping update. +2025-10-31 16:52:08,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:08,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:08,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:08,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:08,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.74, max=12.99, mean=-0.3121, std=3.177, absmax=17.74 +2025-10-31 16:52:08,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-15.52, max=11, mean=-0.3157, std=2.867, absmax=15.52 +2025-10-31 16:52:09,369 ERROR: Encountered non-finite generator loss at iter 4781; skipping update. +2025-10-31 16:52:09,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:09,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:09,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.58, mean=-0.152, std=2.805, absmax=12.7 +2025-10-31 16:52:09,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.904, max=8.767, mean=-0.1577, std=2.267, absmax=9.904 +2025-10-31 16:52:09,871 ERROR: Encountered non-finite generator loss at iter 4782; skipping update. +2025-10-31 16:52:09,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,874 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:09,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:09,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:09,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:09,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.64, mean=0.08464, std=3.382, absmax=13.64 +2025-10-31 16:52:09,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=11.06, mean=0.03794, std=2.864, absmax=11.26 +2025-10-31 16:52:10,372 ERROR: Encountered non-finite generator loss at iter 4783; skipping update. +2025-10-31 16:52:10,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:10,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:10,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=16.01, mean=-0.231, std=3.198, absmax=16.01 +2025-10-31 16:52:10,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.11, mean=-0.2118, std=2.662, absmax=10.44 +2025-10-31 16:52:10,875 ERROR: Encountered non-finite generator loss at iter 4784; skipping update. +2025-10-31 16:52:10,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:10,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:10,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:10,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:10,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.41, mean=-0.09641, std=2.724, absmax=12.41 +2025-10-31 16:52:10,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.372, max=10.4, mean=-0.09544, std=2.384, absmax=10.4 +2025-10-31 16:52:11,379 ERROR: Encountered non-finite generator loss at iter 4785; skipping update. +2025-10-31 16:52:11,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:11,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:11,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=17.15, mean=-0.08343, std=3.24, absmax=17.15 +2025-10-31 16:52:11,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=14.64, mean=-0.04718, std=2.874, absmax=14.64 +2025-10-31 16:52:11,883 ERROR: Encountered non-finite generator loss at iter 4786; skipping update. +2025-10-31 16:52:11,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:11,889 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:11,890 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:11,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:11,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.85, mean=-0.02921, std=2.82, absmax=13.29 +2025-10-31 16:52:11,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=9.081, mean=-0.06478, std=2.287, absmax=9.66 +2025-10-31 16:52:12,386 ERROR: Encountered non-finite generator loss at iter 4787; skipping update. +2025-10-31 16:52:12,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,389 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:12,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:12,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.98, mean=-0.276, std=2.988, absmax=13.98 +2025-10-31 16:52:12,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.06, mean=-0.2674, std=2.463, absmax=11.06 +2025-10-31 16:52:12,891 ERROR: Encountered non-finite generator loss at iter 4788; skipping update. +2025-10-31 16:52:12,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:12,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:12,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:12,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:12,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.82, mean=-0.3511, std=3.07, absmax=12.82 +2025-10-31 16:52:12,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.678, max=8.081, mean=-0.3299, std=2.444, absmax=9.678 +2025-10-31 16:52:13,396 ERROR: Encountered non-finite generator loss at iter 4789; skipping update. +2025-10-31 16:52:13,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:13,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:13,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.22, mean=-0.1162, std=2.635, absmax=12.09 +2025-10-31 16:52:13,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.039, max=9.828, mean=-0.1256, std=2.307, absmax=9.828 +2025-10-31 16:52:13,901 ERROR: Encountered non-finite generator loss at iter 4790; skipping update. +2025-10-31 16:52:13,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:13,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:13,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:13,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:13,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.68, mean=-0.3169, std=2.735, absmax=12.83 +2025-10-31 16:52:13,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.901, max=8.428, mean=-0.3255, std=2.428, absmax=8.901 +2025-10-31 16:52:14,405 ERROR: Encountered non-finite generator loss at iter 4791; skipping update. +2025-10-31 16:52:14,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,412 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:14,413 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:14,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.49, mean=-0.1812, std=3.292, absmax=12.73 +2025-10-31 16:52:14,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.342, mean=-0.1682, std=2.709, absmax=11.3 +2025-10-31 16:52:14,910 ERROR: Encountered non-finite generator loss at iter 4792; skipping update. +2025-10-31 16:52:14,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:14,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:14,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:14,918 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:14,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=12.91, mean=-0.1665, std=3.19, absmax=13.39 +2025-10-31 16:52:14,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=10.25, mean=-0.122, std=2.789, absmax=11.1 +2025-10-31 16:52:15,416 ERROR: Encountered non-finite generator loss at iter 4793; skipping update. +2025-10-31 16:52:15,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:15,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:15,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=13.66, mean=0.05912, std=3.109, absmax=13.66 +2025-10-31 16:52:15,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.888, max=10.54, mean=0.01125, std=2.601, absmax=10.54 +2025-10-31 16:52:15,920 ERROR: Encountered non-finite generator loss at iter 4794; skipping update. +2025-10-31 16:52:15,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:15,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:15,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:15,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:15,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.05, mean=-0.1402, std=2.955, absmax=13.05 +2025-10-31 16:52:15,932 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.904, max=9.498, mean=-0.0902, std=2.509, absmax=9.904 +2025-10-31 16:52:16,426 ERROR: Encountered non-finite generator loss at iter 4795; skipping update. +2025-10-31 16:52:16,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,430 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:16,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:16,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.39, max=10.87, mean=-0.1963, std=2.344, absmax=10.87 +2025-10-31 16:52:16,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.687, max=9.677, mean=-0.2072, std=2.066, absmax=9.677 +2025-10-31 16:52:16,930 ERROR: Encountered non-finite generator loss at iter 4796; skipping update. +2025-10-31 16:52:16,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:16,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:16,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:16,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:16,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.04, mean=-0.1764, std=2.937, absmax=12.36 +2025-10-31 16:52:16,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.657, mean=-0.1819, std=2.609, absmax=10.4 +2025-10-31 16:52:17,435 ERROR: Encountered non-finite generator loss at iter 4797; skipping update. +2025-10-31 16:52:17,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:17,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:17,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.56, mean=-0.04101, std=2.939, absmax=13.56 +2025-10-31 16:52:17,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.179, max=10.56, mean=-0.06428, std=2.431, absmax=10.56 +2025-10-31 16:52:17,939 ERROR: Encountered non-finite generator loss at iter 4798; skipping update. +2025-10-31 16:52:17,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:17,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:17,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:17,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:17,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.35, mean=-0.3391, std=2.973, absmax=13.2 +2025-10-31 16:52:17,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=8.221, mean=-0.3282, std=2.573, absmax=11.65 +2025-10-31 16:52:18,442 ERROR: Encountered non-finite generator loss at iter 4799; skipping update. +2025-10-31 16:52:18,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,444 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:18,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:18,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.95, mean=-0.185, std=2.719, absmax=11.53 +2025-10-31 16:52:18,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.841, max=8.794, mean=-0.2108, std=2.237, absmax=8.841 +2025-10-31 16:52:18,946 ERROR: Encountered non-finite generator loss at iter 4800; skipping update. +2025-10-31 16:52:18,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:18,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:18,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:18,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:18,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=12.55, mean=-0.1951, std=2.969, absmax=14.33 +2025-10-31 16:52:18,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.218, mean=-0.2173, std=2.49, absmax=10.67 +2025-10-31 16:52:18,956 INFO: [29..][epoch: 0, step: 4,800, lr:(1.500e-04,)] [eta: 1 day, 17:06:57, time (data): 0.502 (0.000)] +2025-10-31 16:52:19,449 ERROR: Encountered non-finite generator loss at iter 4801; skipping update. +2025-10-31 16:52:19,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:19,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:19,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=10.5, mean=-0.2508, std=2.866, absmax=13.53 +2025-10-31 16:52:19,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=7.96, mean=-0.2315, std=2.447, absmax=12.77 +2025-10-31 16:52:19,953 ERROR: Encountered non-finite generator loss at iter 4802; skipping update. +2025-10-31 16:52:19,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:19,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:19,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:19,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:19,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.8, mean=-0.1105, std=2.761, absmax=12.68 +2025-10-31 16:52:19,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=8.161, mean=-0.1632, std=2.375, absmax=11 +2025-10-31 16:52:20,454 ERROR: Encountered non-finite generator loss at iter 4803; skipping update. +2025-10-31 16:52:20,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:20,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:20,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.68, mean=-0.3115, std=3.209, absmax=12.98 +2025-10-31 16:52:20,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.68, mean=-0.283, std=2.726, absmax=11.68 +2025-10-31 16:52:20,956 ERROR: Encountered non-finite generator loss at iter 4804; skipping update. +2025-10-31 16:52:20,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:20,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:20,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:20,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:20,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=15.78, mean=-0.02168, std=2.563, absmax=15.78 +2025-10-31 16:52:20,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.187, max=8.872, mean=-0.02266, std=2.247, absmax=9.187 +2025-10-31 16:52:21,456 ERROR: Encountered non-finite generator loss at iter 4805; skipping update. +2025-10-31 16:52:21,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:21,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:21,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.04, mean=-0.2511, std=2.628, absmax=12.06 +2025-10-31 16:52:21,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.809, mean=-0.241, std=2.214, absmax=10.68 +2025-10-31 16:52:21,954 ERROR: Encountered non-finite generator loss at iter 4806; skipping update. +2025-10-31 16:52:21,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:21,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:21,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:21,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:21,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=16.24, mean=0.08092, std=3.602, absmax=16.24 +2025-10-31 16:52:21,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=12.4, mean=-0.01415, std=3.024, absmax=12.4 +2025-10-31 16:52:22,456 ERROR: Encountered non-finite generator loss at iter 4807; skipping update. +2025-10-31 16:52:22,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:22,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:22,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=11.77, mean=-0.1069, std=2.619, absmax=11.77 +2025-10-31 16:52:22,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.46, max=9.417, mean=-0.1144, std=2.219, absmax=9.417 +2025-10-31 16:52:22,957 ERROR: Encountered non-finite generator loss at iter 4808; skipping update. +2025-10-31 16:52:22,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:22,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:22,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:22,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:22,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=11.9, mean=-0.2584, std=2.749, absmax=14.32 +2025-10-31 16:52:22,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.413, mean=-0.225, std=2.378, absmax=10.9 +2025-10-31 16:52:23,457 ERROR: Encountered non-finite generator loss at iter 4809; skipping update. +2025-10-31 16:52:23,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:23,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:23,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.29, mean=-0.1755, std=3.137, absmax=12.29 +2025-10-31 16:52:23,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.948, max=10.83, mean=-0.196, std=2.559, absmax=10.83 +2025-10-31 16:52:23,958 ERROR: Encountered non-finite generator loss at iter 4810; skipping update. +2025-10-31 16:52:23,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:23,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:23,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:23,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:23,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.96, mean=0.3455, std=3.555, absmax=14.96 +2025-10-31 16:52:23,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=12.53, mean=0.2957, std=2.984, absmax=12.53 +2025-10-31 16:52:24,458 ERROR: Encountered non-finite generator loss at iter 4811; skipping update. +2025-10-31 16:52:24,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,461 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:24,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:24,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=9.886, mean=-0.2154, std=2.819, absmax=13.65 +2025-10-31 16:52:24,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.903, mean=-0.2622, std=2.546, absmax=10.54 +2025-10-31 16:52:24,959 ERROR: Encountered non-finite generator loss at iter 4812; skipping update. +2025-10-31 16:52:24,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:24,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:24,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:24,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:24,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.61, mean=-0.01075, std=3.159, absmax=12.61 +2025-10-31 16:52:24,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.531, max=9.983, mean=-0.01342, std=2.636, absmax=9.983 +2025-10-31 16:52:25,461 ERROR: Encountered non-finite generator loss at iter 4813; skipping update. +2025-10-31 16:52:25,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:25,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:25,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.22, mean=-0.1556, std=2.863, absmax=13.22 +2025-10-31 16:52:25,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=9.173, mean=-0.1619, std=2.49, absmax=9.918 +2025-10-31 16:52:25,960 ERROR: Encountered non-finite generator loss at iter 4814; skipping update. +2025-10-31 16:52:25,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:25,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:25,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:25,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:25,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.19, mean=-0.3373, std=3.09, absmax=14.26 +2025-10-31 16:52:25,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=10.34, mean=-0.2958, std=2.598, absmax=11.45 +2025-10-31 16:52:26,462 ERROR: Encountered non-finite generator loss at iter 4815; skipping update. +2025-10-31 16:52:26,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:26,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:26,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.73, mean=-0.3164, std=2.428, absmax=12.73 +2025-10-31 16:52:26,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.733, mean=-0.3596, std=2.08, absmax=11.27 +2025-10-31 16:52:26,964 ERROR: Encountered non-finite generator loss at iter 4816; skipping update. +2025-10-31 16:52:26,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:26,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:26,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:26,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:26,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.56, mean=0.01652, std=3.118, absmax=14.56 +2025-10-31 16:52:26,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=11.14, mean=-0.04209, std=2.673, absmax=11.14 +2025-10-31 16:52:27,466 ERROR: Encountered non-finite generator loss at iter 4817; skipping update. +2025-10-31 16:52:27,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:27,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:27,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.23, mean=-0.2544, std=3.036, absmax=13.24 +2025-10-31 16:52:27,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.02, max=10.59, mean=-0.2527, std=2.62, absmax=13.02 +2025-10-31 16:52:27,966 ERROR: Encountered non-finite generator loss at iter 4818; skipping update. +2025-10-31 16:52:27,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:27,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:27,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:27,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:27,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=12.58, mean=0.01138, std=3.147, absmax=15.08 +2025-10-31 16:52:27,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.958, max=10.48, mean=-0.02975, std=2.477, absmax=10.48 +2025-10-31 16:52:28,467 ERROR: Encountered non-finite generator loss at iter 4819; skipping update. +2025-10-31 16:52:28,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:28,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:28,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=11.04, mean=-0.01439, std=2.818, absmax=11.04 +2025-10-31 16:52:28,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=8.39, mean=-0.0004474, std=2.465, absmax=9.365 +2025-10-31 16:52:28,967 ERROR: Encountered non-finite generator loss at iter 4820; skipping update. +2025-10-31 16:52:28,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:28,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:28,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:28,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:28,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.69, max=11.55, mean=-0.3191, std=3.22, absmax=15.69 +2025-10-31 16:52:28,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=8.815, mean=-0.2782, std=2.734, absmax=10.94 +2025-10-31 16:52:29,467 ERROR: Encountered non-finite generator loss at iter 4821; skipping update. +2025-10-31 16:52:29,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:29,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:29,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.24, mean=-0.1549, std=2.996, absmax=13.24 +2025-10-31 16:52:29,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=9.03, mean=-0.1728, std=2.581, absmax=11.4 +2025-10-31 16:52:29,967 ERROR: Encountered non-finite generator loss at iter 4822; skipping update. +2025-10-31 16:52:29,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:29,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:29,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:29,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:29,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=16.19, mean=-0.2373, std=3.488, absmax=16.19 +2025-10-31 16:52:29,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=14.12, mean=-0.2349, std=2.898, absmax=14.12 +2025-10-31 16:52:30,473 ERROR: Encountered non-finite generator loss at iter 4823; skipping update. +2025-10-31 16:52:30,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:30,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:30,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.3, mean=-0.2956, std=3.076, absmax=13.3 +2025-10-31 16:52:30,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.604, mean=-0.2852, std=2.683, absmax=11.41 +2025-10-31 16:52:30,975 ERROR: Encountered non-finite generator loss at iter 4824; skipping update. +2025-10-31 16:52:30,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,981 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:30,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:30,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:30,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:30,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=11.68, mean=-0.1795, std=2.578, absmax=11.68 +2025-10-31 16:52:30,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.605, max=8.353, mean=-0.19, std=2.171, absmax=9.605 +2025-10-31 16:52:31,483 ERROR: Encountered non-finite generator loss at iter 4825; skipping update. +2025-10-31 16:52:31,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:31,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:31,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.36, mean=-0.1092, std=3.182, absmax=13.36 +2025-10-31 16:52:31,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.17, mean=-0.1204, std=2.662, absmax=11.17 +2025-10-31 16:52:31,985 ERROR: Encountered non-finite generator loss at iter 4826; skipping update. +2025-10-31 16:52:31,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:31,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:31,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:31,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:31,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.44, mean=-0.2365, std=2.448, absmax=12.44 +2025-10-31 16:52:31,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.837, max=9.849, mean=-0.2039, std=2.11, absmax=9.849 +2025-10-31 16:52:32,487 ERROR: Encountered non-finite generator loss at iter 4827; skipping update. +2025-10-31 16:52:32,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:32,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:32,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.16, mean=-0.2209, std=3.11, absmax=13.16 +2025-10-31 16:52:32,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.24, mean=-0.2305, std=2.743, absmax=11.24 +2025-10-31 16:52:32,989 ERROR: Encountered non-finite generator loss at iter 4828; skipping update. +2025-10-31 16:52:32,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:32,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:32,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:32,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:32,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.34, mean=-0.102, std=3.378, absmax=13.76 +2025-10-31 16:52:32,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=9.889, mean=-0.06644, std=2.86, absmax=13.45 +2025-10-31 16:52:33,491 ERROR: Encountered non-finite generator loss at iter 4829; skipping update. +2025-10-31 16:52:33,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:33,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:33,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.16, mean=0.08921, std=3.623, absmax=15.16 +2025-10-31 16:52:33,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=14.82, mean=0.06478, std=3.247, absmax=14.82 +2025-10-31 16:52:33,991 ERROR: Encountered non-finite generator loss at iter 4830; skipping update. +2025-10-31 16:52:33,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,994 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:33,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:33,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:33,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:34,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.45, mean=-0.0268, std=3.348, absmax=14.45 +2025-10-31 16:52:34,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.632, max=11.58, mean=-0.06133, std=2.732, absmax=11.58 +2025-10-31 16:52:34,492 ERROR: Encountered non-finite generator loss at iter 4831; skipping update. +2025-10-31 16:52:34,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:34,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:34,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:34,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:34,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:34,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.93, max=14.19, mean=-0.1576, std=3.209, absmax=15.93 +2025-10-31 16:52:34,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.84, mean=-0.1403, std=2.639, absmax=12.84 +2025-10-31 16:52:34,994 ERROR: Encountered non-finite generator loss at iter 4832; skipping update. +2025-10-31 16:52:34,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:34,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:34,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:34,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:35,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:35,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:35,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.46, mean=-0.1566, std=2.97, absmax=12.46 +2025-10-31 16:52:35,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=9.035, mean=-0.1623, std=2.476, absmax=10.24 +2025-10-31 16:52:35,495 ERROR: Encountered non-finite generator loss at iter 4833; skipping update. +2025-10-31 16:52:35,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:35,497 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:35,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:35,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:35,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:35,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:35,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:35,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:35,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=13.32, mean=-0.08636, std=3.058, absmax=13.32 +2025-10-31 16:52:35,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.896, max=9.922, mean=-0.1314, std=2.516, absmax=9.922 +2025-10-31 16:52:35,998 ERROR: Encountered non-finite generator loss at iter 4834; skipping update. +2025-10-31 16:52:35,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:36,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:36,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.82, mean=-0.03906, std=3.49, absmax=14.82 +2025-10-31 16:52:36,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=11.38, mean=-0.0341, std=2.892, absmax=11.38 +2025-10-31 16:52:36,498 ERROR: Encountered non-finite generator loss at iter 4835; skipping update. +2025-10-31 16:52:36,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:36,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:36,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:36,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:36,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.66, mean=-0.285, std=3.431, absmax=15.66 +2025-10-31 16:52:36,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=11.26, mean=-0.2689, std=2.851, absmax=11.26 +2025-10-31 16:52:36,999 ERROR: Encountered non-finite generator loss at iter 4836; skipping update. +2025-10-31 16:52:37,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:37,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:37,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.6, mean=-0.0002192, std=3.087, absmax=15.6 +2025-10-31 16:52:37,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=9.578, mean=-0.007513, std=2.617, absmax=9.578 +2025-10-31 16:52:37,498 ERROR: Encountered non-finite generator loss at iter 4837; skipping update. +2025-10-31 16:52:37,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:37,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:37,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:37,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:37,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=10.7, mean=-0.2623, std=2.633, absmax=11.56 +2025-10-31 16:52:37,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.328, max=8.363, mean=-0.289, std=2.307, absmax=9.328 +2025-10-31 16:52:38,001 ERROR: Encountered non-finite generator loss at iter 4838; skipping update. +2025-10-31 16:52:38,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:38,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:38,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.36, mean=-0.001353, std=2.925, absmax=13.36 +2025-10-31 16:52:38,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=9.973, mean=-0.05566, std=2.418, absmax=9.973 +2025-10-31 16:52:38,502 ERROR: Encountered non-finite generator loss at iter 4839; skipping update. +2025-10-31 16:52:38,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:38,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:38,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:38,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:38,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.99, mean=-0.1483, std=2.795, absmax=15.99 +2025-10-31 16:52:38,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.237, max=9.244, mean=-0.1686, std=2.293, absmax=9.244 +2025-10-31 16:52:39,003 ERROR: Encountered non-finite generator loss at iter 4840; skipping update. +2025-10-31 16:52:39,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:39,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:39,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.71, mean=0.04163, std=3.423, absmax=13.61 +2025-10-31 16:52:39,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.86, mean=-0.02683, std=2.846, absmax=10.86 +2025-10-31 16:52:39,504 ERROR: Encountered non-finite generator loss at iter 4841; skipping update. +2025-10-31 16:52:39,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:39,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:39,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:39,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:39,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.03, mean=-0.2034, std=3.336, absmax=13.24 +2025-10-31 16:52:39,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.824, mean=-0.1885, std=2.672, absmax=10.48 +2025-10-31 16:52:40,004 ERROR: Encountered non-finite generator loss at iter 4842; skipping update. +2025-10-31 16:52:40,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:40,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:40,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=16.49, mean=-0.2832, std=3.673, absmax=16.49 +2025-10-31 16:52:40,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=11.8, mean=-0.1974, std=3.097, absmax=11.8 +2025-10-31 16:52:40,504 ERROR: Encountered non-finite generator loss at iter 4843; skipping update. +2025-10-31 16:52:40,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:40,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:40,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:40,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:40,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=10.84, mean=-0.212, std=3.207, absmax=15 +2025-10-31 16:52:40,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.83, max=9.209, mean=-0.156, std=2.837, absmax=13.83 +2025-10-31 16:52:41,006 ERROR: Encountered non-finite generator loss at iter 4844; skipping update. +2025-10-31 16:52:41,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:41,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:41,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.19, mean=-0.2868, std=2.972, absmax=12.91 +2025-10-31 16:52:41,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=8.471, mean=-0.2723, std=2.385, absmax=10.22 +2025-10-31 16:52:41,508 ERROR: Encountered non-finite generator loss at iter 4845; skipping update. +2025-10-31 16:52:41,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:41,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:41,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:41,514 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:41,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=17.87, mean=-0.04144, std=3.675, absmax=17.87 +2025-10-31 16:52:41,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.356, max=14.76, mean=-0.02698, std=2.958, absmax=14.76 +2025-10-31 16:52:42,008 ERROR: Encountered non-finite generator loss at iter 4846; skipping update. +2025-10-31 16:52:42,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:42,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:42,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.52, mean=-0.3055, std=3.064, absmax=13.52 +2025-10-31 16:52:42,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=8.744, mean=-0.2803, std=2.465, absmax=9.922 +2025-10-31 16:52:42,509 ERROR: Encountered non-finite generator loss at iter 4847; skipping update. +2025-10-31 16:52:42,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:42,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:42,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:42,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:42,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.09, mean=-0.2818, std=2.819, absmax=14.09 +2025-10-31 16:52:42,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.16, mean=-0.2264, std=2.569, absmax=11.54 +2025-10-31 16:52:43,011 ERROR: Encountered non-finite generator loss at iter 4848; skipping update. +2025-10-31 16:52:43,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:43,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:43,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.35, mean=-0.2404, std=2.354, absmax=11.37 +2025-10-31 16:52:43,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=7.872, mean=-0.1766, std=2.044, absmax=10.34 +2025-10-31 16:52:43,514 ERROR: Encountered non-finite generator loss at iter 4849; skipping update. +2025-10-31 16:52:43,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,517 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:43,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:43,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:43,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:43,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=16.29, mean=0.01943, std=3.66, absmax=16.29 +2025-10-31 16:52:43,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=12.58, mean=-0.03058, std=3.168, absmax=12.58 +2025-10-31 16:52:44,012 ERROR: Encountered non-finite generator loss at iter 4850; skipping update. +2025-10-31 16:52:44,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:44,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:44,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.01, mean=-0.2194, std=2.676, absmax=12.07 +2025-10-31 16:52:44,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.513, max=9.455, mean=-0.1813, std=2.264, absmax=9.455 +2025-10-31 16:52:44,514 ERROR: Encountered non-finite generator loss at iter 4851; skipping update. +2025-10-31 16:52:44,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:44,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:44,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:44,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:44,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.57, mean=-0.08167, std=3.181, absmax=12.57 +2025-10-31 16:52:44,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.853, mean=-0.1329, std=2.685, absmax=10.9 +2025-10-31 16:52:45,017 ERROR: Encountered non-finite generator loss at iter 4852; skipping update. +2025-10-31 16:52:45,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:45,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:45,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.74, max=10.76, mean=-0.2727, std=3.254, absmax=15.74 +2025-10-31 16:52:45,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.34, mean=-0.2237, std=2.838, absmax=11.03 +2025-10-31 16:52:45,521 ERROR: Encountered non-finite generator loss at iter 4853; skipping update. +2025-10-31 16:52:45,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:45,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:45,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:45,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:45,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=9.451, mean=-0.1361, std=2.783, absmax=12.31 +2025-10-31 16:52:45,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.046, max=8.077, mean=-0.1483, std=2.396, absmax=9.046 +2025-10-31 16:52:46,023 ERROR: Encountered non-finite generator loss at iter 4854; skipping update. +2025-10-31 16:52:46,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:46,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:46,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.33, mean=-0.1949, std=2.936, absmax=14.23 +2025-10-31 16:52:46,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.977, mean=-0.1734, std=2.471, absmax=11.66 +2025-10-31 16:52:46,525 ERROR: Encountered non-finite generator loss at iter 4855; skipping update. +2025-10-31 16:52:46,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:46,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:46,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:46,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:46,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=12.59, mean=-0.1523, std=3.143, absmax=14.4 +2025-10-31 16:52:46,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.156, mean=-0.1856, std=2.646, absmax=10.78 +2025-10-31 16:52:47,028 ERROR: Encountered non-finite generator loss at iter 4856; skipping update. +2025-10-31 16:52:47,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:47,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:47,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.59, mean=-0.1922, std=3.572, absmax=13.01 +2025-10-31 16:52:47,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.91, mean=-0.196, std=3.145, absmax=10.99 +2025-10-31 16:52:47,531 ERROR: Encountered non-finite generator loss at iter 4857; skipping update. +2025-10-31 16:52:47,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:47,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:47,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:47,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:47,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.77, mean=-0.1771, std=3.216, absmax=13.77 +2025-10-31 16:52:47,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.394, max=10.88, mean=-0.2097, std=2.557, absmax=10.88 +2025-10-31 16:52:48,034 ERROR: Encountered non-finite generator loss at iter 4858; skipping update. +2025-10-31 16:52:48,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:48,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:48,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.27, mean=-0.07034, std=2.668, absmax=14.27 +2025-10-31 16:52:48,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.2, max=10.97, mean=-0.1157, std=2.148, absmax=10.97 +2025-10-31 16:52:48,538 ERROR: Encountered non-finite generator loss at iter 4859; skipping update. +2025-10-31 16:52:48,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:48,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:48,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:48,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:48,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11.08, mean=-0.3223, std=2.807, absmax=13.07 +2025-10-31 16:52:48,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=8.243, mean=-0.2881, std=2.264, absmax=10.22 +2025-10-31 16:52:49,040 ERROR: Encountered non-finite generator loss at iter 4860; skipping update. +2025-10-31 16:52:49,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:49,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:49,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.21, mean=-0.21, std=3.387, absmax=12.76 +2025-10-31 16:52:49,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.995, mean=-0.1687, std=2.831, absmax=10.73 +2025-10-31 16:52:49,543 ERROR: Encountered non-finite generator loss at iter 4861; skipping update. +2025-10-31 16:52:49,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:49,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:49,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:49,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:49,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.92, mean=-0.2556, std=2.723, absmax=12.69 +2025-10-31 16:52:49,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.911, max=10.07, mean=-0.1999, std=2.329, absmax=10.07 +2025-10-31 16:52:50,045 ERROR: Encountered non-finite generator loss at iter 4862; skipping update. +2025-10-31 16:52:50,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:50,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:50,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.57, mean=-0.1182, std=2.925, absmax=11.57 +2025-10-31 16:52:50,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.422, max=9.815, mean=-0.1429, std=2.353, absmax=9.815 +2025-10-31 16:52:50,548 ERROR: Encountered non-finite generator loss at iter 4863; skipping update. +2025-10-31 16:52:50,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:50,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:50,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:50,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:50,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.01, mean=-0.2779, std=2.425, absmax=12.08 +2025-10-31 16:52:50,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.289, max=7.89, mean=-0.2651, std=2.124, absmax=9.289 +2025-10-31 16:52:51,049 ERROR: Encountered non-finite generator loss at iter 4864; skipping update. +2025-10-31 16:52:51,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:51,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:51,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.31, mean=-0.07077, std=3.176, absmax=13.31 +2025-10-31 16:52:51,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.931, max=10.7, mean=-0.05293, std=2.639, absmax=10.7 +2025-10-31 16:52:51,550 ERROR: Encountered non-finite generator loss at iter 4865; skipping update. +2025-10-31 16:52:51,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:51,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:51,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:51,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:51,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=15.97, mean=-0.0165, std=3.142, absmax=15.97 +2025-10-31 16:52:51,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=12.1, mean=-0.04807, std=2.587, absmax=12.1 +2025-10-31 16:52:52,051 ERROR: Encountered non-finite generator loss at iter 4866; skipping update. +2025-10-31 16:52:52,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:52,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:52,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11.86, mean=-0.2277, std=2.7, absmax=13.07 +2025-10-31 16:52:52,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.38, mean=-0.2326, std=2.425, absmax=11.38 +2025-10-31 16:52:52,552 ERROR: Encountered non-finite generator loss at iter 4867; skipping update. +2025-10-31 16:52:52,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:52,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:52,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:52,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:52,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.4, mean=-0.2873, std=2.705, absmax=12.82 +2025-10-31 16:52:52,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.673, max=10.01, mean=-0.2675, std=2.283, absmax=10.01 +2025-10-31 16:52:53,056 ERROR: Encountered non-finite generator loss at iter 4868; skipping update. +2025-10-31 16:52:53,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:53,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:53,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.99, mean=-0.3152, std=3.16, absmax=13 +2025-10-31 16:52:53,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.434, max=9.125, mean=-0.2808, std=2.532, absmax=9.434 +2025-10-31 16:52:53,558 ERROR: Encountered non-finite generator loss at iter 4869; skipping update. +2025-10-31 16:52:53,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:53,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:53,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:53,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:53,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=13.47, mean=-0.1288, std=3.022, absmax=13.47 +2025-10-31 16:52:53,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.966, max=9.848, mean=-0.1112, std=2.537, absmax=9.848 +2025-10-31 16:52:54,059 ERROR: Encountered non-finite generator loss at iter 4870; skipping update. +2025-10-31 16:52:54,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:54,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:54,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.84, mean=-0.1966, std=3.058, absmax=13.08 +2025-10-31 16:52:54,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=8.867, mean=-0.1868, std=2.615, absmax=11.54 +2025-10-31 16:52:54,562 ERROR: Encountered non-finite generator loss at iter 4871; skipping update. +2025-10-31 16:52:54,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:54,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:54,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:54,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:54,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=19.32, mean=-0.05263, std=3.321, absmax=19.32 +2025-10-31 16:52:54,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.578, max=11.31, mean=-0.03843, std=2.613, absmax=11.31 +2025-10-31 16:52:55,064 ERROR: Encountered non-finite generator loss at iter 4872; skipping update. +2025-10-31 16:52:55,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,066 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,067 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:55,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:55,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.03, mean=-0.2622, std=2.752, absmax=13.87 +2025-10-31 16:52:55,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=8.237, mean=-0.2469, std=2.267, absmax=9.22 +2025-10-31 16:52:55,565 ERROR: Encountered non-finite generator loss at iter 4873; skipping update. +2025-10-31 16:52:55,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:55,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:55,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:55,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:55,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.42, mean=-0.2498, std=2.509, absmax=12.53 +2025-10-31 16:52:55,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=9.279, mean=-0.2496, std=2.072, absmax=11.5 +2025-10-31 16:52:56,067 ERROR: Encountered non-finite generator loss at iter 4874; skipping update. +2025-10-31 16:52:56,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:56,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:56,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=11.36, mean=-0.3222, std=3.461, absmax=14.49 +2025-10-31 16:52:56,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=10.4, mean=-0.3444, std=3.036, absmax=11.46 +2025-10-31 16:52:56,568 ERROR: Encountered non-finite generator loss at iter 4875; skipping update. +2025-10-31 16:52:56,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:56,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:56,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:56,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:56,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=10.59, mean=-0.0221, std=2.767, absmax=13.83 +2025-10-31 16:52:56,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.783, max=9.585, mean=-0.003513, std=2.509, absmax=9.783 +2025-10-31 16:52:57,069 ERROR: Encountered non-finite generator loss at iter 4876; skipping update. +2025-10-31 16:52:57,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,071 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:57,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:57,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14.61, mean=-0.2077, std=3.019, absmax=14.61 +2025-10-31 16:52:57,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=8.865, mean=-0.2219, std=2.561, absmax=11.45 +2025-10-31 16:52:57,570 ERROR: Encountered non-finite generator loss at iter 4877; skipping update. +2025-10-31 16:52:57,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:57,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:57,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:57,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:57,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.09, mean=-0.1872, std=2.758, absmax=12.18 +2025-10-31 16:52:57,581 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=10.05, mean=-0.2551, std=2.532, absmax=10.05 +2025-10-31 16:52:58,071 ERROR: Encountered non-finite generator loss at iter 4878; skipping update. +2025-10-31 16:52:58,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:58,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:58,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.06, max=11.8, mean=-0.2046, std=2.467, absmax=11.8 +2025-10-31 16:52:58,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.265, max=8.093, mean=-0.1893, std=2.108, absmax=8.265 +2025-10-31 16:52:58,572 ERROR: Encountered non-finite generator loss at iter 4879; skipping update. +2025-10-31 16:52:58,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:58,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:58,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:58,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:58,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.53, mean=-0.1834, std=2.643, absmax=11.69 +2025-10-31 16:52:58,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.661, max=8.512, mean=-0.1981, std=2.242, absmax=9.661 +2025-10-31 16:52:59,073 ERROR: Encountered non-finite generator loss at iter 4880; skipping update. +2025-10-31 16:52:59,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,080 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:59,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:59,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=11.32, mean=-0.0002406, std=3.148, absmax=14.07 +2025-10-31 16:52:59,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.173, mean=-0.008152, std=2.773, absmax=10.57 +2025-10-31 16:52:59,574 ERROR: Encountered non-finite generator loss at iter 4881; skipping update. +2025-10-31 16:52:59,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:52:59,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:52:59,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:52:59,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:52:59,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.78, mean=0.1438, std=3.263, absmax=14.78 +2025-10-31 16:52:59,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.938, max=11.57, mean=0.1523, std=2.83, absmax=11.57 +2025-10-31 16:53:00,076 ERROR: Encountered non-finite generator loss at iter 4882; skipping update. +2025-10-31 16:53:00,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:00,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:00,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=15.22, mean=-0.253, std=3.046, absmax=15.22 +2025-10-31 16:53:00,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=14.43, mean=-0.1923, std=2.668, absmax=14.43 +2025-10-31 16:53:00,577 ERROR: Encountered non-finite generator loss at iter 4883; skipping update. +2025-10-31 16:53:00,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:00,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:00,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:00,586 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:00,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12.36, mean=-0.1748, std=2.687, absmax=14.49 +2025-10-31 16:53:00,588 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=9.256, mean=-0.155, std=2.161, absmax=9.964 +2025-10-31 16:53:01,080 ERROR: Encountered non-finite generator loss at iter 4884; skipping update. +2025-10-31 16:53:01,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:01,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:01,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=10.97, mean=-0.3168, std=2.906, absmax=13.2 +2025-10-31 16:53:01,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.352, mean=-0.2562, std=2.339, absmax=11.3 +2025-10-31 16:53:01,583 ERROR: Encountered non-finite generator loss at iter 4885; skipping update. +2025-10-31 16:53:01,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,589 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:01,590 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:01,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:01,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:01,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.05, mean=-0.06223, std=2.675, absmax=14.05 +2025-10-31 16:53:01,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.211, max=9.852, mean=-0.1045, std=2.184, absmax=9.852 +2025-10-31 16:53:02,086 ERROR: Encountered non-finite generator loss at iter 4886; skipping update. +2025-10-31 16:53:02,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:02,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:02,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=10.96, mean=-0.1268, std=2.606, absmax=12.52 +2025-10-31 16:53:02,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.201, max=9.715, mean=-0.1185, std=2.184, absmax=9.715 +2025-10-31 16:53:02,591 ERROR: Encountered non-finite generator loss at iter 4887; skipping update. +2025-10-31 16:53:02,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,596 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:02,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:02,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:02,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:02,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=10.97, mean=-0.3502, std=3.42, absmax=13.7 +2025-10-31 16:53:02,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=9.186, mean=-0.3718, std=3.037, absmax=12 +2025-10-31 16:53:03,092 ERROR: Encountered non-finite generator loss at iter 4888; skipping update. +2025-10-31 16:53:03,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:03,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:03,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.42, mean=-0.3623, std=2.734, absmax=11.88 +2025-10-31 16:53:03,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=7.654, mean=-0.2884, std=2.367, absmax=10.03 +2025-10-31 16:53:03,597 ERROR: Encountered non-finite generator loss at iter 4889; skipping update. +2025-10-31 16:53:03,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:03,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:03,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:03,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:03,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.36, mean=-0.2241, std=2.837, absmax=14.36 +2025-10-31 16:53:03,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=8.936, mean=-0.1762, std=2.411, absmax=9.351 +2025-10-31 16:53:04,102 ERROR: Encountered non-finite generator loss at iter 4890; skipping update. +2025-10-31 16:53:04,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:04,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:04,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.46, mean=-0.3639, std=3.368, absmax=14.04 +2025-10-31 16:53:04,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=11.43, mean=-0.3302, std=2.996, absmax=11.67 +2025-10-31 16:53:04,605 ERROR: Encountered non-finite generator loss at iter 4891; skipping update. +2025-10-31 16:53:04,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,608 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:04,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:04,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:04,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:04,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.47, mean=-0.1937, std=3.004, absmax=13.47 +2025-10-31 16:53:04,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.014, max=12.65, mean=-0.159, std=2.623, absmax=12.65 +2025-10-31 16:53:05,107 ERROR: Encountered non-finite generator loss at iter 4892; skipping update. +2025-10-31 16:53:05,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:05,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:05,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.42, mean=-0.1585, std=3.361, absmax=13.69 +2025-10-31 16:53:05,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=10.07, mean=-0.1648, std=2.836, absmax=11.09 +2025-10-31 16:53:05,610 ERROR: Encountered non-finite generator loss at iter 4893; skipping update. +2025-10-31 16:53:05,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:05,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:05,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:05,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:05,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.53, mean=-0.2758, std=2.901, absmax=13.53 +2025-10-31 16:53:05,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=9.576, mean=-0.2816, std=2.386, absmax=9.905 +2025-10-31 16:53:06,113 ERROR: Encountered non-finite generator loss at iter 4894; skipping update. +2025-10-31 16:53:06,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:06,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:06,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.33, mean=0.1159, std=3.446, absmax=14.33 +2025-10-31 16:53:06,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=12.69, mean=0.1321, std=3.027, absmax=12.69 +2025-10-31 16:53:06,616 ERROR: Encountered non-finite generator loss at iter 4895; skipping update. +2025-10-31 16:53:06,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:06,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:06,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:06,624 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:06,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.01, mean=-0.1003, std=3.041, absmax=13.22 +2025-10-31 16:53:06,626 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.851, mean=-0.142, std=2.575, absmax=10.6 +2025-10-31 16:53:07,118 ERROR: Encountered non-finite generator loss at iter 4896; skipping update. +2025-10-31 16:53:07,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:07,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:07,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.98, mean=-0.1076, std=2.613, absmax=12.98 +2025-10-31 16:53:07,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.779, max=8.387, mean=-0.1322, std=2.097, absmax=9.779 +2025-10-31 16:53:07,621 ERROR: Encountered non-finite generator loss at iter 4897; skipping update. +2025-10-31 16:53:07,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:07,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:07,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:07,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:07,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.02, mean=-0.2372, std=2.494, absmax=12.11 +2025-10-31 16:53:07,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.138, max=7.876, mean=-0.1984, std=2.319, absmax=9.138 +2025-10-31 16:53:08,124 ERROR: Encountered non-finite generator loss at iter 4898; skipping update. +2025-10-31 16:53:08,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:08,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:08,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.23, mean=0.05226, std=3.474, absmax=15.23 +2025-10-31 16:53:08,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=12.8, mean=-0.01347, std=2.972, absmax=12.8 +2025-10-31 16:53:08,626 ERROR: Encountered non-finite generator loss at iter 4899; skipping update. +2025-10-31 16:53:08,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:08,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:08,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:08,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:08,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.25, mean=-0.3154, std=2.726, absmax=13.25 +2025-10-31 16:53:08,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.68, mean=-0.2876, std=2.372, absmax=10.68 +2025-10-31 16:53:09,128 ERROR: Encountered non-finite generator loss at iter 4900; skipping update. +2025-10-31 16:53:09,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:09,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:09,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=12.07, mean=-0.1886, std=3.333, absmax=15.28 +2025-10-31 16:53:09,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.227, mean=-0.1838, std=2.765, absmax=11.17 +2025-10-31 16:53:09,140 INFO: [29..][epoch: 0, step: 4,900, lr:(1.500e-04,)] [eta: 1 day, 16:57:28, time (data): 0.502 (0.000)] +2025-10-31 16:53:09,631 ERROR: Encountered non-finite generator loss at iter 4901; skipping update. +2025-10-31 16:53:09,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:09,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:09,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:09,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:09,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.39, mean=-0.2824, std=3.16, absmax=13.29 +2025-10-31 16:53:09,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.514, mean=-0.2793, std=2.551, absmax=10.23 +2025-10-31 16:53:10,133 ERROR: Encountered non-finite generator loss at iter 4902; skipping update. +2025-10-31 16:53:10,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:10,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:10,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=13.32, mean=-0.272, std=2.594, absmax=15.48 +2025-10-31 16:53:10,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.29, mean=-0.2644, std=2.256, absmax=11.29 +2025-10-31 16:53:10,635 ERROR: Encountered non-finite generator loss at iter 4903; skipping update. +2025-10-31 16:53:10,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:10,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:10,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:10,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:10,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.16, mean=0.02157, std=3.84, absmax=14.16 +2025-10-31 16:53:10,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=9.596, mean=-0.04733, std=3.049, absmax=11.91 +2025-10-31 16:53:11,139 ERROR: Encountered non-finite generator loss at iter 4904; skipping update. +2025-10-31 16:53:11,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:11,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:11,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.86, mean=-0.079, std=3.263, absmax=13.79 +2025-10-31 16:53:11,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=9.9, mean=-0.0988, std=2.717, absmax=11.2 +2025-10-31 16:53:11,640 ERROR: Encountered non-finite generator loss at iter 4905; skipping update. +2025-10-31 16:53:11,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:11,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:11,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:11,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:11,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.98, mean=0.1444, std=3.48, absmax=14.98 +2025-10-31 16:53:11,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.831, max=13.89, mean=0.1644, std=3.085, absmax=13.89 +2025-10-31 16:53:12,143 ERROR: Encountered non-finite generator loss at iter 4906; skipping update. +2025-10-31 16:53:12,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:12,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:12,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.77, mean=-0.1801, std=2.943, absmax=12.36 +2025-10-31 16:53:12,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.368, mean=-0.1991, std=2.494, absmax=10.75 +2025-10-31 16:53:12,645 ERROR: Encountered non-finite generator loss at iter 4907; skipping update. +2025-10-31 16:53:12,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:12,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:12,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:12,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:12,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=16.48, mean=-0.2414, std=2.68, absmax=16.48 +2025-10-31 16:53:12,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=12.22, mean=-0.2178, std=2.277, absmax=12.22 +2025-10-31 16:53:13,148 ERROR: Encountered non-finite generator loss at iter 4908; skipping update. +2025-10-31 16:53:13,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:13,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:13,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.57, mean=-0.1346, std=2.416, absmax=11.88 +2025-10-31 16:53:13,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.391, max=8.78, mean=-0.1215, std=2.083, absmax=9.391 +2025-10-31 16:53:13,650 ERROR: Encountered non-finite generator loss at iter 4909; skipping update. +2025-10-31 16:53:13,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:13,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:13,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:13,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:13,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=13.88, mean=-0.03558, std=2.767, absmax=13.88 +2025-10-31 16:53:13,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.806, max=9.633, mean=-0.1209, std=2.113, absmax=9.633 +2025-10-31 16:53:14,151 ERROR: Encountered non-finite generator loss at iter 4910; skipping update. +2025-10-31 16:53:14,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:14,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:14,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=13.17, mean=-0.04759, std=2.62, absmax=13.17 +2025-10-31 16:53:14,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.464, max=9.896, mean=-0.08559, std=2.232, absmax=9.896 +2025-10-31 16:53:14,653 ERROR: Encountered non-finite generator loss at iter 4911; skipping update. +2025-10-31 16:53:14,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:14,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:14,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:14,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:14,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=15.9, mean=0.1413, std=3.562, absmax=15.9 +2025-10-31 16:53:14,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=11.27, mean=0.06398, std=2.868, absmax=11.55 +2025-10-31 16:53:15,154 ERROR: Encountered non-finite generator loss at iter 4912; skipping update. +2025-10-31 16:53:15,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:15,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:15,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13, mean=-0.07461, std=3.413, absmax=13.58 +2025-10-31 16:53:15,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.82, mean=-0.1113, std=2.903, absmax=11.82 +2025-10-31 16:53:15,656 ERROR: Encountered non-finite generator loss at iter 4913; skipping update. +2025-10-31 16:53:15,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:15,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:15,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:15,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:15,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.24, mean=-0.1044, std=3.53, absmax=14.24 +2025-10-31 16:53:15,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.99, mean=-0.1449, std=2.847, absmax=10.99 +2025-10-31 16:53:16,157 ERROR: Encountered non-finite generator loss at iter 4914; skipping update. +2025-10-31 16:53:16,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:16,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:16,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=12.79, mean=-0.2323, std=3.166, absmax=14.77 +2025-10-31 16:53:16,169 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.942, mean=-0.2345, std=2.563, absmax=10.11 +2025-10-31 16:53:16,661 ERROR: Encountered non-finite generator loss at iter 4915; skipping update. +2025-10-31 16:53:16,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:16,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:16,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:16,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:16,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=15.88, mean=-0.1894, std=3.149, absmax=15.88 +2025-10-31 16:53:16,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=13.12, mean=-0.2136, std=2.589, absmax=13.12 +2025-10-31 16:53:17,162 ERROR: Encountered non-finite generator loss at iter 4916; skipping update. +2025-10-31 16:53:17,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:17,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:17,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=15.16, mean=-0.06007, std=3.519, absmax=15.16 +2025-10-31 16:53:17,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=14.82, mean=-0.04922, std=3.155, absmax=14.82 +2025-10-31 16:53:17,662 ERROR: Encountered non-finite generator loss at iter 4917; skipping update. +2025-10-31 16:53:17,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:17,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:17,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:17,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:17,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=9.106, mean=-0.229, std=2.638, absmax=11.09 +2025-10-31 16:53:17,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.39, mean=-0.2083, std=2.362, absmax=10.39 +2025-10-31 16:53:18,165 ERROR: Encountered non-finite generator loss at iter 4918; skipping update. +2025-10-31 16:53:18,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:18,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:18,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.03, mean=-0.2254, std=3.122, absmax=13.43 +2025-10-31 16:53:18,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.418, mean=-0.2587, std=2.583, absmax=10.37 +2025-10-31 16:53:18,665 ERROR: Encountered non-finite generator loss at iter 4919; skipping update. +2025-10-31 16:53:18,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:18,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:18,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:18,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:18,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.24, mean=-0.244, std=2.729, absmax=12.78 +2025-10-31 16:53:18,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.591, max=8.808, mean=-0.2166, std=2.466, absmax=9.591 +2025-10-31 16:53:19,165 ERROR: Encountered non-finite generator loss at iter 4920; skipping update. +2025-10-31 16:53:19,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:19,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:19,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.68, mean=0.04447, std=3.128, absmax=12.68 +2025-10-31 16:53:19,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=11.29, mean=0.0456, std=2.603, absmax=11.29 +2025-10-31 16:53:19,667 ERROR: Encountered non-finite generator loss at iter 4921; skipping update. +2025-10-31 16:53:19,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:19,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:19,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:19,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:19,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.56, mean=-0.2063, std=3.221, absmax=13.57 +2025-10-31 16:53:19,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.635, mean=-0.1894, std=2.76, absmax=10.11 +2025-10-31 16:53:20,167 ERROR: Encountered non-finite generator loss at iter 4922; skipping update. +2025-10-31 16:53:20,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:20,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:20,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.71, mean=-0.05369, std=3.166, absmax=13.71 +2025-10-31 16:53:20,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.23, mean=-0.07069, std=2.634, absmax=11.23 +2025-10-31 16:53:20,666 ERROR: Encountered non-finite generator loss at iter 4923; skipping update. +2025-10-31 16:53:20,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:20,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:20,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:20,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:20,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.42, mean=-0.2763, std=3.009, absmax=13.42 +2025-10-31 16:53:20,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.346, max=8.207, mean=-0.2587, std=2.391, absmax=9.346 +2025-10-31 16:53:21,168 ERROR: Encountered non-finite generator loss at iter 4924; skipping update. +2025-10-31 16:53:21,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:21,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:21,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.02, mean=-0.2537, std=2.696, absmax=12.31 +2025-10-31 16:53:21,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.447, mean=-0.2096, std=2.348, absmax=10.3 +2025-10-31 16:53:21,670 ERROR: Encountered non-finite generator loss at iter 4925; skipping update. +2025-10-31 16:53:21,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:21,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:21,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:21,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:21,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.33, mean=0.08755, std=3.77, absmax=14.33 +2025-10-31 16:53:21,678 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=14.09, mean=0.04183, std=3.317, absmax=14.09 +2025-10-31 16:53:22,169 ERROR: Encountered non-finite generator loss at iter 4926; skipping update. +2025-10-31 16:53:22,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:22,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:22,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=10.99, mean=-0.1186, std=3.194, absmax=14.8 +2025-10-31 16:53:22,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.991, mean=-0.1286, std=2.865, absmax=11.71 +2025-10-31 16:53:22,669 ERROR: Encountered non-finite generator loss at iter 4927; skipping update. +2025-10-31 16:53:22,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:22,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:22,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:22,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:22,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.38, mean=-0.129, std=2.602, absmax=13.38 +2025-10-31 16:53:22,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=10.97, mean=-0.1569, std=2.337, absmax=11.56 +2025-10-31 16:53:23,169 ERROR: Encountered non-finite generator loss at iter 4928; skipping update. +2025-10-31 16:53:23,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:23,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:23,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=13.4, mean=-0.215, std=2.851, absmax=14.43 +2025-10-31 16:53:23,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.539, max=8.945, mean=-0.1811, std=2.287, absmax=9.539 +2025-10-31 16:53:23,670 ERROR: Encountered non-finite generator loss at iter 4929; skipping update. +2025-10-31 16:53:23,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:23,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:23,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:23,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:23,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=17.54, mean=-0.1894, std=2.849, absmax=17.54 +2025-10-31 16:53:23,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.767, max=14.23, mean=-0.1686, std=2.398, absmax=14.23 +2025-10-31 16:53:24,170 ERROR: Encountered non-finite generator loss at iter 4930; skipping update. +2025-10-31 16:53:24,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:24,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:24,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.11, mean=-0.1616, std=3.451, absmax=14.11 +2025-10-31 16:53:24,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.713, max=10.32, mean=-0.1801, std=2.9, absmax=10.32 +2025-10-31 16:53:24,671 ERROR: Encountered non-finite generator loss at iter 4931; skipping update. +2025-10-31 16:53:24,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:24,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:24,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:24,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:24,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.41, mean=-0.09484, std=3.291, absmax=14.41 +2025-10-31 16:53:24,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=12.97, mean=-0.1212, std=2.782, absmax=12.97 +2025-10-31 16:53:25,169 ERROR: Encountered non-finite generator loss at iter 4932; skipping update. +2025-10-31 16:53:25,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:25,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:25,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.22, mean=-0.3508, std=3.027, absmax=14.08 +2025-10-31 16:53:25,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.63, mean=-0.3415, std=2.565, absmax=11.41 +2025-10-31 16:53:25,669 ERROR: Encountered non-finite generator loss at iter 4933; skipping update. +2025-10-31 16:53:25,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:25,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:25,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:25,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:25,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=12.51, mean=-0.01782, std=2.527, absmax=12.51 +2025-10-31 16:53:25,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.754, max=8.756, mean=-0.05879, std=1.993, absmax=8.756 +2025-10-31 16:53:26,168 ERROR: Encountered non-finite generator loss at iter 4934; skipping update. +2025-10-31 16:53:26,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:26,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:26,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.13, mean=-0.2063, std=2.567, absmax=12.15 +2025-10-31 16:53:26,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.713, max=8.419, mean=-0.1989, std=2.148, absmax=9.713 +2025-10-31 16:53:26,668 ERROR: Encountered non-finite generator loss at iter 4935; skipping update. +2025-10-31 16:53:26,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:26,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:26,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:26,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:26,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.69, mean=0.0106, std=3.187, absmax=13.69 +2025-10-31 16:53:26,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=11.63, mean=-0.03413, std=2.522, absmax=11.96 +2025-10-31 16:53:27,170 ERROR: Encountered non-finite generator loss at iter 4936; skipping update. +2025-10-31 16:53:27,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:27,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:27,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=15.15, mean=0.04411, std=4.024, absmax=15.15 +2025-10-31 16:53:27,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.8, max=12.87, mean=0.04738, std=3.363, absmax=13.8 +2025-10-31 16:53:27,671 ERROR: Encountered non-finite generator loss at iter 4937; skipping update. +2025-10-31 16:53:27,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,675 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:27,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:27,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:27,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:27,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.03, mean=-0.2109, std=3.607, absmax=13.41 +2025-10-31 16:53:27,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.946, mean=-0.2564, std=3.281, absmax=12.81 +2025-10-31 16:53:28,172 ERROR: Encountered non-finite generator loss at iter 4938; skipping update. +2025-10-31 16:53:28,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:28,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:28,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=12.93, mean=-0.2017, std=3.302, absmax=14.9 +2025-10-31 16:53:28,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.166, mean=-0.2011, std=2.744, absmax=10.25 +2025-10-31 16:53:28,674 ERROR: Encountered non-finite generator loss at iter 4939; skipping update. +2025-10-31 16:53:28,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:28,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:28,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:28,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:28,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.55, mean=-0.1761, std=3.08, absmax=13.72 +2025-10-31 16:53:28,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=9.123, mean=-0.1798, std=2.515, absmax=9.98 +2025-10-31 16:53:29,169 ERROR: Encountered non-finite generator loss at iter 4940; skipping update. +2025-10-31 16:53:29,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:29,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:29,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=13.73, mean=0.05668, std=3.894, absmax=14.95 +2025-10-31 16:53:29,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=11.78, mean=0.02816, std=3.303, absmax=11.78 +2025-10-31 16:53:29,670 ERROR: Encountered non-finite generator loss at iter 4941; skipping update. +2025-10-31 16:53:29,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:29,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:29,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:29,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:29,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=15.52, mean=0.07142, std=3.458, absmax=15.52 +2025-10-31 16:53:29,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.766, max=13.19, mean=0.1088, std=3.076, absmax=13.19 +2025-10-31 16:53:30,171 ERROR: Encountered non-finite generator loss at iter 4942; skipping update. +2025-10-31 16:53:30,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:30,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:30,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.24, mean=-0.1781, std=2.901, absmax=13.1 +2025-10-31 16:53:30,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.972, max=9.811, mean=-0.2009, std=2.485, absmax=9.811 +2025-10-31 16:53:30,671 ERROR: Encountered non-finite generator loss at iter 4943; skipping update. +2025-10-31 16:53:30,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,675 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:30,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:30,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:30,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:30,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.04, mean=-0.08819, std=2.706, absmax=12.04 +2025-10-31 16:53:30,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.53, max=9.411, mean=-0.114, std=2.276, absmax=9.411 +2025-10-31 16:53:31,172 ERROR: Encountered non-finite generator loss at iter 4944; skipping update. +2025-10-31 16:53:31,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:31,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:31,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.84, mean=-0.2297, std=3.206, absmax=12.65 +2025-10-31 16:53:31,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=9.014, mean=-0.2185, std=2.562, absmax=10.53 +2025-10-31 16:53:31,673 ERROR: Encountered non-finite generator loss at iter 4945; skipping update. +2025-10-31 16:53:31,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:31,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:31,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:31,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:31,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=9.599, mean=-0.3566, std=3.312, absmax=12.84 +2025-10-31 16:53:31,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.871, mean=-0.2853, std=2.808, absmax=11.27 +2025-10-31 16:53:32,173 ERROR: Encountered non-finite generator loss at iter 4946; skipping update. +2025-10-31 16:53:32,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,179 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:32,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:32,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=16.98, mean=-0.1486, std=2.876, absmax=16.98 +2025-10-31 16:53:32,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.14, mean=-0.1583, std=2.386, absmax=12.14 +2025-10-31 16:53:32,676 ERROR: Encountered non-finite generator loss at iter 4947; skipping update. +2025-10-31 16:53:32,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:32,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:32,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:32,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:32,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.92, mean=-0.1867, std=2.889, absmax=13.86 +2025-10-31 16:53:32,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.258, mean=-0.1591, std=2.485, absmax=10.18 +2025-10-31 16:53:33,178 ERROR: Encountered non-finite generator loss at iter 4948; skipping update. +2025-10-31 16:53:33,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:33,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:33,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.51, mean=-0.2286, std=2.598, absmax=12.51 +2025-10-31 16:53:33,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.586, max=9.694, mean=-0.1684, std=2.355, absmax=9.694 +2025-10-31 16:53:33,681 ERROR: Encountered non-finite generator loss at iter 4949; skipping update. +2025-10-31 16:53:33,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:33,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:33,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:33,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:33,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=17.83, mean=0.02418, std=3.27, absmax=17.83 +2025-10-31 16:53:33,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=11.54, mean=0.0334, std=2.794, absmax=11.54 +2025-10-31 16:53:34,181 ERROR: Encountered non-finite generator loss at iter 4950; skipping update. +2025-10-31 16:53:34,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:34,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:34,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.61, mean=-0.2458, std=3.398, absmax=15.12 +2025-10-31 16:53:34,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=11.13, mean=-0.1824, std=2.995, absmax=11.34 +2025-10-31 16:53:34,683 ERROR: Encountered non-finite generator loss at iter 4951; skipping update. +2025-10-31 16:53:34,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:34,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:34,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:34,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:34,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.42, mean=-0.0606, std=2.796, absmax=11.73 +2025-10-31 16:53:34,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.977, max=8.367, mean=-0.05554, std=2.417, absmax=8.977 +2025-10-31 16:53:35,185 ERROR: Encountered non-finite generator loss at iter 4952; skipping update. +2025-10-31 16:53:35,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:35,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:35,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.78, mean=-0.1738, std=3.454, absmax=13.78 +2025-10-31 16:53:35,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.043, mean=-0.2032, std=2.732, absmax=10.85 +2025-10-31 16:53:35,686 ERROR: Encountered non-finite generator loss at iter 4953; skipping update. +2025-10-31 16:53:35,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:35,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:35,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:35,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:35,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.63, mean=-0.1281, std=3.037, absmax=13.63 +2025-10-31 16:53:35,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.892, max=10.06, mean=-0.1588, std=2.727, absmax=10.06 +2025-10-31 16:53:36,187 ERROR: Encountered non-finite generator loss at iter 4954; skipping update. +2025-10-31 16:53:36,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:36,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:36,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.18, mean=0.1728, std=3.225, absmax=13.18 +2025-10-31 16:53:36,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.12, mean=0.1059, std=2.58, absmax=10.65 +2025-10-31 16:53:36,689 ERROR: Encountered non-finite generator loss at iter 4955; skipping update. +2025-10-31 16:53:36,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:36,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:36,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:36,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:36,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.63, max=13.37, mean=-0.2214, std=2.932, absmax=15.63 +2025-10-31 16:53:36,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.97, max=8.918, mean=-0.2276, std=2.279, absmax=12.97 +2025-10-31 16:53:37,192 ERROR: Encountered non-finite generator loss at iter 4956; skipping update. +2025-10-31 16:53:37,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:37,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:37,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=14.36, mean=-0.1695, std=3.443, absmax=15.6 +2025-10-31 16:53:37,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.89, max=10.7, mean=-0.1527, std=2.826, absmax=12.89 +2025-10-31 16:53:37,694 ERROR: Encountered non-finite generator loss at iter 4957; skipping update. +2025-10-31 16:53:37,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:37,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:37,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:37,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:37,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.22, mean=-0.0542, std=3.102, absmax=13.24 +2025-10-31 16:53:37,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=9.647, mean=-0.09895, std=2.559, absmax=9.876 +2025-10-31 16:53:38,198 ERROR: Encountered non-finite generator loss at iter 4958; skipping update. +2025-10-31 16:53:38,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:38,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:38,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=16.45, mean=-0.24, std=3.14, absmax=16.45 +2025-10-31 16:53:38,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.457, max=10.97, mean=-0.2137, std=2.445, absmax=10.97 +2025-10-31 16:53:38,700 ERROR: Encountered non-finite generator loss at iter 4959; skipping update. +2025-10-31 16:53:38,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:38,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:38,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:38,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:38,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.29, mean=-0.1247, std=2.812, absmax=13.05 +2025-10-31 16:53:38,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.489, max=10.64, mean=-0.1132, std=2.429, absmax=10.64 +2025-10-31 16:53:39,204 ERROR: Encountered non-finite generator loss at iter 4960; skipping update. +2025-10-31 16:53:39,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:39,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:39,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=11.82, mean=-0.07868, std=2.607, absmax=11.82 +2025-10-31 16:53:39,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.337, max=10.86, mean=-0.0921, std=2.306, absmax=10.86 +2025-10-31 16:53:39,707 ERROR: Encountered non-finite generator loss at iter 4961; skipping update. +2025-10-31 16:53:39,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:39,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:39,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:39,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:39,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.29, mean=-0.05457, std=3.206, absmax=13.29 +2025-10-31 16:53:39,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=10.32, mean=-0.08114, std=2.593, absmax=10.32 +2025-10-31 16:53:40,209 ERROR: Encountered non-finite generator loss at iter 4962; skipping update. +2025-10-31 16:53:40,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:40,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:40,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.07, mean=-0.3071, std=3.073, absmax=12.93 +2025-10-31 16:53:40,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=7.896, mean=-0.2805, std=2.463, absmax=11.39 +2025-10-31 16:53:40,711 ERROR: Encountered non-finite generator loss at iter 4963; skipping update. +2025-10-31 16:53:40,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:40,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:40,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:40,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:40,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.89, mean=0.01423, std=2.894, absmax=12.33 +2025-10-31 16:53:40,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.7, mean=-0.03355, std=2.51, absmax=10.2 +2025-10-31 16:53:41,212 ERROR: Encountered non-finite generator loss at iter 4964; skipping update. +2025-10-31 16:53:41,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:41,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:41,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=9.993, mean=-0.2605, std=2.72, absmax=12.11 +2025-10-31 16:53:41,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.902, max=7.485, mean=-0.2611, std=2.221, absmax=8.902 +2025-10-31 16:53:41,718 ERROR: Encountered non-finite generator loss at iter 4965; skipping update. +2025-10-31 16:53:41,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:41,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:41,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:41,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:41,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=15.32, mean=-0.2282, std=3.631, absmax=15.32 +2025-10-31 16:53:41,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=10.4, mean=-0.2158, std=3.05, absmax=12.36 +2025-10-31 16:53:42,220 ERROR: Encountered non-finite generator loss at iter 4966; skipping update. +2025-10-31 16:53:42,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,223 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,224 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,225 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:42,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:42,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.41, mean=-0.1629, std=2.741, absmax=11.75 +2025-10-31 16:53:42,229 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.265, max=10.47, mean=-0.1729, std=2.151, absmax=10.47 +2025-10-31 16:53:42,723 ERROR: Encountered non-finite generator loss at iter 4967; skipping update. +2025-10-31 16:53:42,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:42,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:42,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:42,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:42,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.3, mean=-0.1221, std=3.015, absmax=13.27 +2025-10-31 16:53:42,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=8.784, mean=-0.1678, std=2.524, absmax=11.89 +2025-10-31 16:53:43,223 ERROR: Encountered non-finite generator loss at iter 4968; skipping update. +2025-10-31 16:53:43,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:43,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:43,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.75, mean=-0.226, std=2.758, absmax=14.75 +2025-10-31 16:53:43,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.822, max=8.473, mean=-0.2202, std=2.277, absmax=9.822 +2025-10-31 16:53:43,727 ERROR: Encountered non-finite generator loss at iter 4969; skipping update. +2025-10-31 16:53:43,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:43,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:43,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:43,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:43,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.6, mean=-0.08999, std=2.767, absmax=13.6 +2025-10-31 16:53:43,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.199, mean=-0.1419, std=2.175, absmax=10.14 +2025-10-31 16:53:44,229 ERROR: Encountered non-finite generator loss at iter 4970; skipping update. +2025-10-31 16:53:44,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,233 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:44,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:44,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=13.33, mean=-0.02082, std=3.344, absmax=13.33 +2025-10-31 16:53:44,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=13.91, mean=0.002742, std=3.034, absmax=13.91 +2025-10-31 16:53:44,732 ERROR: Encountered non-finite generator loss at iter 4971; skipping update. +2025-10-31 16:53:44,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:44,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:44,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:44,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:44,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.75, mean=-0.1409, std=2.737, absmax=11.92 +2025-10-31 16:53:44,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.855, max=7.776, mean=-0.1587, std=2.153, absmax=8.855 +2025-10-31 16:53:45,234 ERROR: Encountered non-finite generator loss at iter 4972; skipping update. +2025-10-31 16:53:45,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:45,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:45,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.12, mean=-0.1584, std=2.877, absmax=13.12 +2025-10-31 16:53:45,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.82, mean=-0.1428, std=2.425, absmax=10.85 +2025-10-31 16:53:45,736 ERROR: Encountered non-finite generator loss at iter 4973; skipping update. +2025-10-31 16:53:45,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:45,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:45,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:45,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:45,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=14.37, mean=-0.08488, std=2.705, absmax=14.37 +2025-10-31 16:53:45,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.499, max=11.27, mean=-0.116, std=2.285, absmax=11.27 +2025-10-31 16:53:46,240 ERROR: Encountered non-finite generator loss at iter 4974; skipping update. +2025-10-31 16:53:46,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,247 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:46,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:46,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=12.36, mean=-0.244, std=2.777, absmax=14.42 +2025-10-31 16:53:46,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.813, mean=-0.2618, std=2.355, absmax=10.23 +2025-10-31 16:53:46,746 ERROR: Encountered non-finite generator loss at iter 4975; skipping update. +2025-10-31 16:53:46,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:46,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:46,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:46,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:46,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.95, mean=-0.04361, std=3.064, absmax=13.95 +2025-10-31 16:53:46,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.58, mean=-0.09919, std=2.711, absmax=10.58 +2025-10-31 16:53:47,248 ERROR: Encountered non-finite generator loss at iter 4976; skipping update. +2025-10-31 16:53:47,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:47,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:47,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.52, mean=-0.127, std=3.36, absmax=13.05 +2025-10-31 16:53:47,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.953, mean=-0.1171, std=2.779, absmax=10.9 +2025-10-31 16:53:47,756 ERROR: Encountered non-finite generator loss at iter 4977; skipping update. +2025-10-31 16:53:47,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:47,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:47,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:47,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:47,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=15.57, mean=-0.3181, std=2.543, absmax=15.57 +2025-10-31 16:53:47,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=9.808, mean=-0.3392, std=2.193, absmax=12.46 +2025-10-31 16:53:48,259 ERROR: Encountered non-finite generator loss at iter 4978; skipping update. +2025-10-31 16:53:48,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:48,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:48,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=9.363, mean=-0.3233, std=2.514, absmax=11.92 +2025-10-31 16:53:48,268 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.612, mean=-0.3098, std=2.211, absmax=10.22 +2025-10-31 16:53:48,761 ERROR: Encountered non-finite generator loss at iter 4979; skipping update. +2025-10-31 16:53:48,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:48,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:48,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:48,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:48,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.86, mean=-0.08515, std=2.754, absmax=13.86 +2025-10-31 16:53:48,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.965, max=10, mean=-0.1168, std=2.245, absmax=10 +2025-10-31 16:53:49,264 ERROR: Encountered non-finite generator loss at iter 4980; skipping update. +2025-10-31 16:53:49,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:49,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:49,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=11.78, mean=-0.1767, std=2.789, absmax=14.33 +2025-10-31 16:53:49,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=7.352, mean=-0.1902, std=2.269, absmax=9.842 +2025-10-31 16:53:49,766 ERROR: Encountered non-finite generator loss at iter 4981; skipping update. +2025-10-31 16:53:49,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:49,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:49,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:49,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:49,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.58, mean=-0.1822, std=2.727, absmax=13.58 +2025-10-31 16:53:49,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.86, max=7.359, mean=-0.2169, std=2.282, absmax=8.86 +2025-10-31 16:53:50,269 ERROR: Encountered non-finite generator loss at iter 4982; skipping update. +2025-10-31 16:53:50,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:50,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:50,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.01, mean=-0.25, std=2.791, absmax=12.98 +2025-10-31 16:53:50,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=8.623, mean=-0.2691, std=2.469, absmax=9.67 +2025-10-31 16:53:50,771 ERROR: Encountered non-finite generator loss at iter 4983; skipping update. +2025-10-31 16:53:50,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,774 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:50,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:50,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:50,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:50,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.06, mean=-0.06682, std=2.917, absmax=13.06 +2025-10-31 16:53:50,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.585, max=9.78, mean=-0.1067, std=2.37, absmax=9.78 +2025-10-31 16:53:51,274 ERROR: Encountered non-finite generator loss at iter 4984; skipping update. +2025-10-31 16:53:51,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:51,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:51,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.85, mean=-0.01397, std=3.253, absmax=13.85 +2025-10-31 16:53:51,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=12.38, mean=-0.01384, std=2.697, absmax=12.38 +2025-10-31 16:53:51,778 ERROR: Encountered non-finite generator loss at iter 4985; skipping update. +2025-10-31 16:53:51,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:51,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:51,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:51,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:51,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.65, mean=-0.2544, std=2.866, absmax=13.65 +2025-10-31 16:53:51,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=10.79, mean=-0.2507, std=2.539, absmax=12.33 +2025-10-31 16:53:52,281 ERROR: Encountered non-finite generator loss at iter 4986; skipping update. +2025-10-31 16:53:52,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:52,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:52,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=13.08, mean=0.005781, std=2.941, absmax=14.43 +2025-10-31 16:53:52,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.772, max=10.84, mean=-0.06826, std=2.423, absmax=10.84 +2025-10-31 16:53:52,784 ERROR: Encountered non-finite generator loss at iter 4987; skipping update. +2025-10-31 16:53:52,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:52,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:52,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:52,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:52,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.61, mean=-0.24, std=3.25, absmax=14.61 +2025-10-31 16:53:52,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.36, mean=-0.2393, std=2.702, absmax=11.36 +2025-10-31 16:53:53,286 ERROR: Encountered non-finite generator loss at iter 4988; skipping update. +2025-10-31 16:53:53,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,290 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:53,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:53,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.55, mean=-0.219, std=2.505, absmax=12.49 +2025-10-31 16:53:53,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.905, max=8.615, mean=-0.2109, std=2.125, absmax=8.905 +2025-10-31 16:53:53,788 ERROR: Encountered non-finite generator loss at iter 4989; skipping update. +2025-10-31 16:53:53,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:53,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:53,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:53,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:53,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.85, mean=-0.26, std=2.829, absmax=13.3 +2025-10-31 16:53:53,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=9.273, mean=-0.285, std=2.515, absmax=11.85 +2025-10-31 16:53:54,288 ERROR: Encountered non-finite generator loss at iter 4990; skipping update. +2025-10-31 16:53:54,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:54,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:54,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=14.12, mean=-0.1098, std=3.089, absmax=14.12 +2025-10-31 16:53:54,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=10.67, mean=-0.1766, std=2.488, absmax=11.42 +2025-10-31 16:53:54,792 ERROR: Encountered non-finite generator loss at iter 4991; skipping update. +2025-10-31 16:53:54,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,794 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:54,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:54,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:54,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:54,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=10.39, mean=-0.1711, std=2.785, absmax=12.92 +2025-10-31 16:53:54,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.356, max=7.599, mean=-0.1349, std=2.252, absmax=9.356 +2025-10-31 16:53:55,295 ERROR: Encountered non-finite generator loss at iter 4992; skipping update. +2025-10-31 16:53:55,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,298 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:55,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:55,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=14.03, mean=-0.1545, std=2.651, absmax=14.03 +2025-10-31 16:53:55,306 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.068, max=7.984, mean=-0.1222, std=2.078, absmax=9.068 +2025-10-31 16:53:55,799 ERROR: Encountered non-finite generator loss at iter 4993; skipping update. +2025-10-31 16:53:55,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:55,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:55,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:55,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:55,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.48, mean=-0.3013, std=3.163, absmax=13.11 +2025-10-31 16:53:55,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=8.957, mean=-0.2907, std=2.487, absmax=10.64 +2025-10-31 16:53:56,303 ERROR: Encountered non-finite generator loss at iter 4994; skipping update. +2025-10-31 16:53:56,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:56,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:56,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.12, mean=-0.0747, std=2.654, absmax=12.12 +2025-10-31 16:53:56,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=10.19, mean=-0.04786, std=2.268, absmax=10.19 +2025-10-31 16:53:56,809 ERROR: Encountered non-finite generator loss at iter 4995; skipping update. +2025-10-31 16:53:56,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:56,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:56,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:56,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:56,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.57, mean=-0.2283, std=2.898, absmax=12.61 +2025-10-31 16:53:56,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.408, mean=-0.1851, std=2.37, absmax=10.09 +2025-10-31 16:53:57,315 ERROR: Encountered non-finite generator loss at iter 4996; skipping update. +2025-10-31 16:53:57,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:57,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:57,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.93, mean=-0.1209, std=3.162, absmax=12.97 +2025-10-31 16:53:57,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=10.12, mean=-0.1349, std=2.583, absmax=10.12 +2025-10-31 16:53:57,821 ERROR: Encountered non-finite generator loss at iter 4997; skipping update. +2025-10-31 16:53:57,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:57,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:57,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:57,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:57,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.9, mean=-0.05256, std=3.387, absmax=13.9 +2025-10-31 16:53:57,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.47, mean=-0.06981, std=2.759, absmax=11.47 +2025-10-31 16:53:58,324 ERROR: Encountered non-finite generator loss at iter 4998; skipping update. +2025-10-31 16:53:58,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:58,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:58,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.74, mean=-0.1871, std=3.438, absmax=13.74 +2025-10-31 16:53:58,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=11.56, mean=-0.2289, std=2.791, absmax=11.56 +2025-10-31 16:53:58,828 ERROR: Encountered non-finite generator loss at iter 4999; skipping update. +2025-10-31 16:53:58,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:58,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:58,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:58,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:58,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.38, mean=-0.06379, std=2.897, absmax=14.38 +2025-10-31 16:53:58,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.04, mean=-0.08964, std=2.328, absmax=11.04 +2025-10-31 16:53:59,329 ERROR: Encountered non-finite generator loss at iter 5000; skipping update. +2025-10-31 16:53:59,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:53:59,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:53:59,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:53:59,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:53:59,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:53:59,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:53:59,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:53:59,338 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:53:59,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.75, mean=-0.1956, std=2.648, absmax=14 +2025-10-31 16:53:59,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.933, max=7.467, mean=-0.2012, std=2.217, absmax=9.933 +2025-10-31 16:53:59,342 INFO: [29..][epoch: 0, step: 5,000, lr:(1.500e-04,)] [eta: 1 day, 16:48:20, time (data): 0.502 (0.000)] +2025-10-31 16:53:59,342 INFO: Saving models and training states. +2025-10-31 16:55:07,495 INFO: Validation val_x2 + # l1_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 16:57:25,028 INFO: Validation val_x4 + # l1_latent: nan Best: -inf @ -1 iter + # l2_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 16:57:25,520 ERROR: Encountered non-finite generator loss at iter 5001; skipping update. +2025-10-31 16:57:25,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:25,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:25,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:25,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:25,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:25,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:25,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:25,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:25,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.29, mean=-0.151, std=2.48, absmax=12.38 +2025-10-31 16:57:25,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=7.865, mean=-0.1848, std=2.071, absmax=8.727 +2025-10-31 16:57:26,019 ERROR: Encountered non-finite generator loss at iter 5002; skipping update. +2025-10-31 16:57:26,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:26,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:26,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.5, mean=-0.03903, std=3.31, absmax=13.79 +2025-10-31 16:57:26,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.387, mean=-0.08113, std=2.68, absmax=10.96 +2025-10-31 16:57:26,519 ERROR: Encountered non-finite generator loss at iter 5003; skipping update. +2025-10-31 16:57:26,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:26,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:26,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:26,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:26,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.59, mean=-0.176, std=3.052, absmax=12.59 +2025-10-31 16:57:26,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.687, max=11.66, mean=-0.2106, std=2.659, absmax=11.66 +2025-10-31 16:57:27,018 ERROR: Encountered non-finite generator loss at iter 5004; skipping update. +2025-10-31 16:57:27,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:27,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:27,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.84, mean=-0.08916, std=3.472, absmax=14.84 +2025-10-31 16:57:27,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=10.22, mean=-0.1126, std=2.852, absmax=11.46 +2025-10-31 16:57:27,519 ERROR: Encountered non-finite generator loss at iter 5005; skipping update. +2025-10-31 16:57:27,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:27,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:27,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:27,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:27,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=13.9, mean=-0.1641, std=3.066, absmax=15.26 +2025-10-31 16:57:27,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=12.4, mean=-0.1194, std=2.735, absmax=12.4 +2025-10-31 16:57:28,020 ERROR: Encountered non-finite generator loss at iter 5006; skipping update. +2025-10-31 16:57:28,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:28,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:28,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.68, mean=-0.1101, std=3.271, absmax=13.68 +2025-10-31 16:57:28,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=11.58, mean=-0.09241, std=2.75, absmax=11.58 +2025-10-31 16:57:28,519 ERROR: Encountered non-finite generator loss at iter 5007; skipping update. +2025-10-31 16:57:28,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:28,524 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:28,525 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:28,526 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:28,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.05, mean=-0.1619, std=2.681, absmax=12.62 +2025-10-31 16:57:28,528 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.478, max=8.102, mean=-0.1352, std=2.189, absmax=8.478 +2025-10-31 16:57:29,018 ERROR: Encountered non-finite generator loss at iter 5008; skipping update. +2025-10-31 16:57:29,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:29,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:29,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=10.32, mean=-0.2954, std=3.174, absmax=12.81 +2025-10-31 16:57:29,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=7.941, mean=-0.269, std=2.702, absmax=11.95 +2025-10-31 16:57:29,520 ERROR: Encountered non-finite generator loss at iter 5009; skipping update. +2025-10-31 16:57:29,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:29,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:29,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:29,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:29,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=16.01, mean=-0.2014, std=2.808, absmax=16.01 +2025-10-31 16:57:29,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.361, max=9.861, mean=-0.2239, std=2.392, absmax=9.861 +2025-10-31 16:57:30,020 ERROR: Encountered non-finite generator loss at iter 5010; skipping update. +2025-10-31 16:57:30,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:30,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:30,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.48, mean=-0.009548, std=3.191, absmax=12.48 +2025-10-31 16:57:30,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.972, max=10.22, mean=-0.0436, std=2.657, absmax=10.22 +2025-10-31 16:57:30,520 ERROR: Encountered non-finite generator loss at iter 5011; skipping update. +2025-10-31 16:57:30,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:30,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:30,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:30,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:30,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.88, mean=-0.1741, std=2.9, absmax=12.88 +2025-10-31 16:57:30,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.49, mean=-0.2317, std=2.419, absmax=10.49 +2025-10-31 16:57:31,019 ERROR: Encountered non-finite generator loss at iter 5012; skipping update. +2025-10-31 16:57:31,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:31,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:31,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=12.89, mean=-0.219, std=2.638, absmax=12.89 +2025-10-31 16:57:31,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.593, mean=-0.2266, std=2.312, absmax=10.06 +2025-10-31 16:57:31,517 ERROR: Encountered non-finite generator loss at iter 5013; skipping update. +2025-10-31 16:57:31,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:31,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:31,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:31,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:31,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.92, mean=-0.2334, std=2.982, absmax=14.92 +2025-10-31 16:57:31,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.693, mean=-0.2167, std=2.506, absmax=10.45 +2025-10-31 16:57:32,017 ERROR: Encountered non-finite generator loss at iter 5014; skipping update. +2025-10-31 16:57:32,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:32,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:32,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.39, mean=-0.2314, std=2.946, absmax=12.73 +2025-10-31 16:57:32,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.9, mean=-0.2424, std=2.487, absmax=10.9 +2025-10-31 16:57:32,519 ERROR: Encountered non-finite generator loss at iter 5015; skipping update. +2025-10-31 16:57:32,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:32,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:32,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:32,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:32,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.8, mean=-0.07684, std=2.995, absmax=13.74 +2025-10-31 16:57:32,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.368, mean=-0.05943, std=2.587, absmax=10.3 +2025-10-31 16:57:33,021 ERROR: Encountered non-finite generator loss at iter 5016; skipping update. +2025-10-31 16:57:33,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:33,028 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:33,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=15.64, mean=-0.07134, std=3.641, absmax=15.64 +2025-10-31 16:57:33,030 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.31, max=10.87, mean=-0.05554, std=2.994, absmax=12.31 +2025-10-31 16:57:33,522 ERROR: Encountered non-finite generator loss at iter 5017; skipping update. +2025-10-31 16:57:33,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:33,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:33,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:33,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:33,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.77, max=14.71, mean=-0.09867, std=2.784, absmax=18.77 +2025-10-31 16:57:33,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=12.76, mean=-0.0883, std=2.404, absmax=12.76 +2025-10-31 16:57:34,024 ERROR: Encountered non-finite generator loss at iter 5018; skipping update. +2025-10-31 16:57:34,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:34,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:34,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=12.54, mean=-0.04197, std=3.142, absmax=14.24 +2025-10-31 16:57:34,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=11.29, mean=-0.05035, std=2.705, absmax=11.29 +2025-10-31 16:57:34,524 ERROR: Encountered non-finite generator loss at iter 5019; skipping update. +2025-10-31 16:57:34,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:34,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:34,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:34,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:34,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.95, mean=-0.3113, std=2.376, absmax=11.95 +2025-10-31 16:57:34,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.923, max=7.124, mean=-0.3128, std=2.111, absmax=9.923 +2025-10-31 16:57:35,024 ERROR: Encountered non-finite generator loss at iter 5020; skipping update. +2025-10-31 16:57:35,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:35,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:35,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=14.82, mean=-0.1104, std=3.201, absmax=15.72 +2025-10-31 16:57:35,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.92, mean=-0.1064, std=2.706, absmax=11.92 +2025-10-31 16:57:35,525 ERROR: Encountered non-finite generator loss at iter 5021; skipping update. +2025-10-31 16:57:35,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:35,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:35,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:35,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:35,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.52, mean=-0.08696, std=3.102, absmax=13.52 +2025-10-31 16:57:35,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.02, mean=-0.03992, std=2.713, absmax=12.02 +2025-10-31 16:57:36,024 ERROR: Encountered non-finite generator loss at iter 5022; skipping update. +2025-10-31 16:57:36,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:36,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:36,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.88, mean=-0.2153, std=2.408, absmax=12.15 +2025-10-31 16:57:36,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=10.03, mean=-0.1632, std=2.198, absmax=10.03 +2025-10-31 16:57:36,528 ERROR: Encountered non-finite generator loss at iter 5023; skipping update. +2025-10-31 16:57:36,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:36,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:36,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:36,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:36,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.25, mean=-0.1493, std=2.381, absmax=11.72 +2025-10-31 16:57:36,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.438, max=8.815, mean=-0.1766, std=1.927, absmax=8.815 +2025-10-31 16:57:37,029 ERROR: Encountered non-finite generator loss at iter 5024; skipping update. +2025-10-31 16:57:37,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,031 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:37,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:37,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.99, mean=-0.1205, std=2.902, absmax=13.05 +2025-10-31 16:57:37,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.93, mean=-0.1641, std=2.408, absmax=10.93 +2025-10-31 16:57:37,529 ERROR: Encountered non-finite generator loss at iter 5025; skipping update. +2025-10-31 16:57:37,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:37,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:37,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:37,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:37,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.47, mean=-0.2797, std=2.911, absmax=12.95 +2025-10-31 16:57:37,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.859, mean=-0.2633, std=2.284, absmax=11.18 +2025-10-31 16:57:38,029 ERROR: Encountered non-finite generator loss at iter 5026; skipping update. +2025-10-31 16:57:38,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:38,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:38,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.14, mean=-0.09949, std=3.081, absmax=14.22 +2025-10-31 16:57:38,038 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.224, mean=-0.1241, std=2.478, absmax=10.88 +2025-10-31 16:57:38,529 ERROR: Encountered non-finite generator loss at iter 5027; skipping update. +2025-10-31 16:57:38,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:38,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:38,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:38,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:38,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.8, mean=-0.03714, std=2.679, absmax=12.37 +2025-10-31 16:57:38,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.46, max=8.566, mean=-0.0949, std=2.182, absmax=9.46 +2025-10-31 16:57:39,028 ERROR: Encountered non-finite generator loss at iter 5028; skipping update. +2025-10-31 16:57:39,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:39,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:39,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=12.33, mean=-0.2626, std=2.775, absmax=12.33 +2025-10-31 16:57:39,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.872, max=8.276, mean=-0.3063, std=2.261, absmax=8.872 +2025-10-31 16:57:39,534 ERROR: Encountered non-finite generator loss at iter 5029; skipping update. +2025-10-31 16:57:39,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:39,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:39,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:39,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:39,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=12.37, mean=-0.2733, std=2.741, absmax=14.86 +2025-10-31 16:57:39,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=9.554, mean=-0.2541, std=2.331, absmax=9.554 +2025-10-31 16:57:40,036 ERROR: Encountered non-finite generator loss at iter 5030; skipping update. +2025-10-31 16:57:40,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:40,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:40,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.83, mean=-0.3304, std=3.166, absmax=13.26 +2025-10-31 16:57:40,041 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.946, max=9.511, mean=-0.328, std=2.58, absmax=9.946 +2025-10-31 16:57:40,536 ERROR: Encountered non-finite generator loss at iter 5031; skipping update. +2025-10-31 16:57:40,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:40,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:40,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:40,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:40,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.07, mean=0.06529, std=3.242, absmax=14.88 +2025-10-31 16:57:40,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=10.23, mean=0.04344, std=2.648, absmax=11.25 +2025-10-31 16:57:41,036 ERROR: Encountered non-finite generator loss at iter 5032; skipping update. +2025-10-31 16:57:41,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:41,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:41,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.53, mean=-0.3285, std=3.213, absmax=13.75 +2025-10-31 16:57:41,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.517, mean=-0.2841, std=2.722, absmax=10.88 +2025-10-31 16:57:41,539 ERROR: Encountered non-finite generator loss at iter 5033; skipping update. +2025-10-31 16:57:41,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:41,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:41,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:41,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:41,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.49, mean=-0.1789, std=3.068, absmax=13.08 +2025-10-31 16:57:41,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=11.38, mean=-0.1421, std=2.766, absmax=11.38 +2025-10-31 16:57:42,041 ERROR: Encountered non-finite generator loss at iter 5034; skipping update. +2025-10-31 16:57:42,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:42,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:42,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=13.46, mean=-0.2465, std=3.667, absmax=15.88 +2025-10-31 16:57:42,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.77, max=10.79, mean=-0.1947, std=3.302, absmax=13.77 +2025-10-31 16:57:42,544 ERROR: Encountered non-finite generator loss at iter 5035; skipping update. +2025-10-31 16:57:42,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:42,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:42,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:42,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:42,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.97, mean=-0.1448, std=2.726, absmax=12.97 +2025-10-31 16:57:42,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.17, mean=-0.1467, std=2.379, absmax=10.98 +2025-10-31 16:57:43,046 ERROR: Encountered non-finite generator loss at iter 5036; skipping update. +2025-10-31 16:57:43,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:43,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:43,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.27, mean=-0.2923, std=2.987, absmax=15.27 +2025-10-31 16:57:43,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.013, mean=-0.2465, std=2.404, absmax=10.84 +2025-10-31 16:57:43,548 ERROR: Encountered non-finite generator loss at iter 5037; skipping update. +2025-10-31 16:57:43,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:43,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:43,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:43,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:43,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=15.64, mean=-0.3048, std=2.94, absmax=15.64 +2025-10-31 16:57:43,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.708, mean=-0.3192, std=2.451, absmax=10.52 +2025-10-31 16:57:44,049 ERROR: Encountered non-finite generator loss at iter 5038; skipping update. +2025-10-31 16:57:44,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:44,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:44,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.48, mean=-0.1166, std=2.781, absmax=12.56 +2025-10-31 16:57:44,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.619, max=9.65, mean=-0.115, std=2.345, absmax=9.65 +2025-10-31 16:57:44,551 ERROR: Encountered non-finite generator loss at iter 5039; skipping update. +2025-10-31 16:57:44,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:44,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:44,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:44,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:44,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.55, mean=0.06043, std=3.674, absmax=15.55 +2025-10-31 16:57:44,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=12.01, mean=0.05872, std=3.218, absmax=12.01 +2025-10-31 16:57:45,053 ERROR: Encountered non-finite generator loss at iter 5040; skipping update. +2025-10-31 16:57:45,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,059 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:45,060 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:45,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.34, mean=0.02287, std=3.233, absmax=13.34 +2025-10-31 16:57:45,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.036, max=11.14, mean=-0.01171, std=2.68, absmax=11.14 +2025-10-31 16:57:45,555 ERROR: Encountered non-finite generator loss at iter 5041; skipping update. +2025-10-31 16:57:45,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:45,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:45,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:45,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:45,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.9, mean=-0.04131, std=2.917, absmax=13.9 +2025-10-31 16:57:45,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=10.85, mean=-0.04512, std=2.535, absmax=10.85 +2025-10-31 16:57:46,058 ERROR: Encountered non-finite generator loss at iter 5042; skipping update. +2025-10-31 16:57:46,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:46,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:46,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.53, mean=0.02708, std=2.971, absmax=12.53 +2025-10-31 16:57:46,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.928, max=10.66, mean=0.03466, std=2.439, absmax=10.66 +2025-10-31 16:57:46,559 ERROR: Encountered non-finite generator loss at iter 5043; skipping update. +2025-10-31 16:57:46,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:46,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:46,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:46,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:46,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.71, mean=-0.01696, std=3.511, absmax=14.71 +2025-10-31 16:57:46,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=14.58, mean=-0.04491, std=3.157, absmax=14.58 +2025-10-31 16:57:47,062 ERROR: Encountered non-finite generator loss at iter 5044; skipping update. +2025-10-31 16:57:47,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:47,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:47,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.52, mean=-0.2639, std=3.008, absmax=13.08 +2025-10-31 16:57:47,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=7.928, mean=-0.2198, std=2.551, absmax=10.65 +2025-10-31 16:57:47,567 ERROR: Encountered non-finite generator loss at iter 5045; skipping update. +2025-10-31 16:57:47,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:47,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:47,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:47,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:47,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=14.85, mean=-0.1057, std=3.332, absmax=14.85 +2025-10-31 16:57:47,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.386, mean=-0.1259, std=2.707, absmax=10.12 +2025-10-31 16:57:48,069 ERROR: Encountered non-finite generator loss at iter 5046; skipping update. +2025-10-31 16:57:48,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:48,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:48,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.98, mean=-0.2516, std=2.413, absmax=12.42 +2025-10-31 16:57:48,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.338, max=6.929, mean=-0.2555, std=2.027, absmax=9.338 +2025-10-31 16:57:48,576 ERROR: Encountered non-finite generator loss at iter 5047; skipping update. +2025-10-31 16:57:48,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:48,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:48,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:48,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:48,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.87, mean=-0.1034, std=3.356, absmax=13.87 +2025-10-31 16:57:48,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=12.95, mean=-0.1104, std=2.763, absmax=12.95 +2025-10-31 16:57:49,079 ERROR: Encountered non-finite generator loss at iter 5048; skipping update. +2025-10-31 16:57:49,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:49,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:49,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=12.48, mean=-0.1846, std=2.887, absmax=15.58 +2025-10-31 16:57:49,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=8.563, mean=-0.2078, std=2.486, absmax=11.44 +2025-10-31 16:57:49,581 ERROR: Encountered non-finite generator loss at iter 5049; skipping update. +2025-10-31 16:57:49,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:49,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:49,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:49,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:49,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.55, mean=-0.1397, std=3.237, absmax=12.55 +2025-10-31 16:57:49,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.863, mean=-0.191, std=2.508, absmax=10.9 +2025-10-31 16:57:50,083 ERROR: Encountered non-finite generator loss at iter 5050; skipping update. +2025-10-31 16:57:50,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:50,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:50,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.76, mean=-0.09393, std=2.857, absmax=12.85 +2025-10-31 16:57:50,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.934, max=9.594, mean=-0.1011, std=2.369, absmax=9.934 +2025-10-31 16:57:50,586 ERROR: Encountered non-finite generator loss at iter 5051; skipping update. +2025-10-31 16:57:50,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:50,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:50,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:50,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:50,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.73, mean=-0.2328, std=2.675, absmax=12.73 +2025-10-31 16:57:50,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.433, max=8.594, mean=-0.2191, std=2.205, absmax=9.433 +2025-10-31 16:57:51,089 ERROR: Encountered non-finite generator loss at iter 5052; skipping update. +2025-10-31 16:57:51,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:51,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:51,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.09, mean=-0.1211, std=2.63, absmax=12.56 +2025-10-31 16:57:51,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.484, max=7.818, mean=-0.1564, std=2.125, absmax=9.484 +2025-10-31 16:57:51,592 ERROR: Encountered non-finite generator loss at iter 5053; skipping update. +2025-10-31 16:57:51,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,596 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:51,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:51,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:51,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:51,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.59, mean=-0.1323, std=3.253, absmax=13.59 +2025-10-31 16:57:51,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.311, max=10.57, mean=-0.1587, std=2.618, absmax=10.57 +2025-10-31 16:57:52,095 ERROR: Encountered non-finite generator loss at iter 5054; skipping update. +2025-10-31 16:57:52,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:52,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:52,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.63, mean=-0.1455, std=2.648, absmax=11.63 +2025-10-31 16:57:52,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.713, mean=-0.1684, std=2.176, absmax=10.69 +2025-10-31 16:57:52,597 ERROR: Encountered non-finite generator loss at iter 5055; skipping update. +2025-10-31 16:57:52,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:52,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:52,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:52,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:52,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.67, mean=-0.1126, std=3.153, absmax=12.67 +2025-10-31 16:57:52,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=10.38, mean=-0.1704, std=2.731, absmax=11.64 +2025-10-31 16:57:53,098 ERROR: Encountered non-finite generator loss at iter 5056; skipping update. +2025-10-31 16:57:53,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:53,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:53,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=12.86, mean=-0.2093, std=3.221, absmax=14.69 +2025-10-31 16:57:53,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=9.743, mean=-0.174, std=2.548, absmax=9.743 +2025-10-31 16:57:53,602 ERROR: Encountered non-finite generator loss at iter 5057; skipping update. +2025-10-31 16:57:53,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:53,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:53,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:53,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:53,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=13.8, mean=-0.1213, std=3.027, absmax=15.18 +2025-10-31 16:57:53,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.61, mean=-0.14, std=2.638, absmax=11.61 +2025-10-31 16:57:54,106 ERROR: Encountered non-finite generator loss at iter 5058; skipping update. +2025-10-31 16:57:54,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:54,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:54,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.02, mean=-0.1857, std=2.842, absmax=13.02 +2025-10-31 16:57:54,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.613, max=8.761, mean=-0.194, std=2.208, absmax=9.613 +2025-10-31 16:57:54,609 ERROR: Encountered non-finite generator loss at iter 5059; skipping update. +2025-10-31 16:57:54,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:54,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:54,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:54,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:54,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=11.85, mean=-0.279, std=3.134, absmax=13.48 +2025-10-31 16:57:54,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.92, mean=-0.2764, std=2.603, absmax=10.77 +2025-10-31 16:57:55,114 ERROR: Encountered non-finite generator loss at iter 5060; skipping update. +2025-10-31 16:57:55,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:55,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:55,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=14.92, mean=-0.01127, std=3.416, absmax=14.92 +2025-10-31 16:57:55,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=10.46, mean=-0.05727, std=2.735, absmax=10.46 +2025-10-31 16:57:55,618 ERROR: Encountered non-finite generator loss at iter 5061; skipping update. +2025-10-31 16:57:55,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:55,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:55,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:55,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:55,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=16.75, mean=-0.1126, std=2.834, absmax=16.75 +2025-10-31 16:57:55,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=10.12, mean=-0.1094, std=2.27, absmax=12.06 +2025-10-31 16:57:56,122 ERROR: Encountered non-finite generator loss at iter 5062; skipping update. +2025-10-31 16:57:56,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:56,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:56,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.8, mean=0.002707, std=3.392, absmax=13.8 +2025-10-31 16:57:56,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.14, max=11.07, mean=0.02491, std=2.83, absmax=11.07 +2025-10-31 16:57:56,625 ERROR: Encountered non-finite generator loss at iter 5063; skipping update. +2025-10-31 16:57:56,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:56,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:56,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:56,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:56,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.67, mean=-0.1352, std=3.042, absmax=14.67 +2025-10-31 16:57:56,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=9.681, mean=-0.1541, std=2.378, absmax=10.51 +2025-10-31 16:57:57,129 ERROR: Encountered non-finite generator loss at iter 5064; skipping update. +2025-10-31 16:57:57,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:57,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:57,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.06, mean=-0.2262, std=3.375, absmax=14.06 +2025-10-31 16:57:57,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=9.422, mean=-0.2181, std=2.701, absmax=10.19 +2025-10-31 16:57:57,631 ERROR: Encountered non-finite generator loss at iter 5065; skipping update. +2025-10-31 16:57:57,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:57,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:57,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:57,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:57,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.21, mean=-0.2514, std=2.839, absmax=12.21 +2025-10-31 16:57:57,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=8.686, mean=-0.257, std=2.447, absmax=10.74 +2025-10-31 16:57:58,135 ERROR: Encountered non-finite generator loss at iter 5066; skipping update. +2025-10-31 16:57:58,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:58,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:58,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.32, mean=-0.04279, std=3.235, absmax=12.32 +2025-10-31 16:57:58,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.037, max=10.46, mean=-0.06209, std=2.695, absmax=10.46 +2025-10-31 16:57:58,640 ERROR: Encountered non-finite generator loss at iter 5067; skipping update. +2025-10-31 16:57:58,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:58,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:58,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:58,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:58,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.19, mean=0.004336, std=3.853, absmax=14.19 +2025-10-31 16:57:58,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.74, mean=-0.01122, std=3.238, absmax=10.74 +2025-10-31 16:57:59,143 ERROR: Encountered non-finite generator loss at iter 5068; skipping update. +2025-10-31 16:57:59,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:59,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:59,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.57, mean=-0.1849, std=3.183, absmax=13.65 +2025-10-31 16:57:59,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.346, mean=-0.1452, std=2.452, absmax=10.09 +2025-10-31 16:57:59,647 ERROR: Encountered non-finite generator loss at iter 5069; skipping update. +2025-10-31 16:57:59,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:57:59,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:57:59,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:57:59,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:57:59,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.41, mean=-0.1254, std=3.082, absmax=12.68 +2025-10-31 16:57:59,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.338, mean=-0.117, std=2.562, absmax=11.39 +2025-10-31 16:58:00,149 ERROR: Encountered non-finite generator loss at iter 5070; skipping update. +2025-10-31 16:58:00,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:00,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:00,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.48, mean=-0.2742, std=3.34, absmax=15.48 +2025-10-31 16:58:00,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=8.504, mean=-0.3212, std=2.955, absmax=12.1 +2025-10-31 16:58:00,653 ERROR: Encountered non-finite generator loss at iter 5071; skipping update. +2025-10-31 16:58:00,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:00,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:00,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:00,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:00,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=10.33, mean=-0.2529, std=3.356, absmax=13.26 +2025-10-31 16:58:00,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=9.189, mean=-0.2384, std=2.932, absmax=11.64 +2025-10-31 16:58:01,156 ERROR: Encountered non-finite generator loss at iter 5072; skipping update. +2025-10-31 16:58:01,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:01,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:01,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.16, mean=0.01276, std=3.321, absmax=13.6 +2025-10-31 16:58:01,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=10.04, mean=-0.02954, std=2.854, absmax=11.58 +2025-10-31 16:58:01,662 ERROR: Encountered non-finite generator loss at iter 5073; skipping update. +2025-10-31 16:58:01,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:01,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:01,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:01,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:01,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=12.48, mean=-0.1558, std=3.265, absmax=14.33 +2025-10-31 16:58:01,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.487, mean=-0.1813, std=2.636, absmax=11.27 +2025-10-31 16:58:02,164 ERROR: Encountered non-finite generator loss at iter 5074; skipping update. +2025-10-31 16:58:02,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:02,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:02,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.87, mean=-0.1822, std=3.172, absmax=12.87 +2025-10-31 16:58:02,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.23, mean=-0.2006, std=2.558, absmax=10.63 +2025-10-31 16:58:02,667 ERROR: Encountered non-finite generator loss at iter 5075; skipping update. +2025-10-31 16:58:02,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:02,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:02,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:02,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:02,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.84, mean=-0.2204, std=2.968, absmax=11.84 +2025-10-31 16:58:02,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=8.17, mean=-0.2494, std=2.386, absmax=10.91 +2025-10-31 16:58:03,171 ERROR: Encountered non-finite generator loss at iter 5076; skipping update. +2025-10-31 16:58:03,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:03,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:03,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=10.71, mean=-0.2316, std=2.865, absmax=14.23 +2025-10-31 16:58:03,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=9.452, mean=-0.2463, std=2.473, absmax=12.38 +2025-10-31 16:58:03,676 ERROR: Encountered non-finite generator loss at iter 5077; skipping update. +2025-10-31 16:58:03,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:03,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:03,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:03,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:03,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=9.946, mean=-0.2208, std=2.638, absmax=12.4 +2025-10-31 16:58:03,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.349, max=8.261, mean=-0.2298, std=2.313, absmax=9.349 +2025-10-31 16:58:04,180 ERROR: Encountered non-finite generator loss at iter 5078; skipping update. +2025-10-31 16:58:04,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:04,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:04,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.52, mean=-0.1257, std=3.542, absmax=14.52 +2025-10-31 16:58:04,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.42, mean=-0.1675, std=3.041, absmax=11.07 +2025-10-31 16:58:04,683 ERROR: Encountered non-finite generator loss at iter 5079; skipping update. +2025-10-31 16:58:04,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:04,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:04,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:04,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:04,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.15, mean=-0.1835, std=2.383, absmax=12.36 +2025-10-31 16:58:04,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.73, max=9.247, mean=-0.1817, std=2.112, absmax=9.73 +2025-10-31 16:58:05,187 ERROR: Encountered non-finite generator loss at iter 5080; skipping update. +2025-10-31 16:58:05,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:05,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:05,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.65, mean=-0.1265, std=3.107, absmax=12.65 +2025-10-31 16:58:05,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.229, mean=-0.1444, std=2.486, absmax=10.29 +2025-10-31 16:58:05,690 ERROR: Encountered non-finite generator loss at iter 5081; skipping update. +2025-10-31 16:58:05,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:05,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:05,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:05,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:05,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=11.78, mean=-0.3461, std=3.24, absmax=13.31 +2025-10-31 16:58:05,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=9.606, mean=-0.3471, std=2.894, absmax=12.78 +2025-10-31 16:58:06,193 ERROR: Encountered non-finite generator loss at iter 5082; skipping update. +2025-10-31 16:58:06,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:06,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:06,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=15.18, mean=-0.1208, std=3.449, absmax=15.18 +2025-10-31 16:58:06,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=14.55, mean=-0.1129, std=3.331, absmax=14.55 +2025-10-31 16:58:06,696 ERROR: Encountered non-finite generator loss at iter 5083; skipping update. +2025-10-31 16:58:06,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:06,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:06,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:06,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:06,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=11.56, mean=-0.2758, std=2.999, absmax=13.55 +2025-10-31 16:58:06,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=8.733, mean=-0.2648, std=2.752, absmax=11.23 +2025-10-31 16:58:07,200 ERROR: Encountered non-finite generator loss at iter 5084; skipping update. +2025-10-31 16:58:07,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:07,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:07,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.75, mean=-0.1376, std=2.622, absmax=12.75 +2025-10-31 16:58:07,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.429, max=8.289, mean=-0.1269, std=2.112, absmax=9.429 +2025-10-31 16:58:07,703 ERROR: Encountered non-finite generator loss at iter 5085; skipping update. +2025-10-31 16:58:07,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:07,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:07,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:07,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:07,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=12.59, mean=-0.1689, std=3.161, absmax=15.28 +2025-10-31 16:58:07,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.262, mean=-0.1372, std=2.642, absmax=11.67 +2025-10-31 16:58:08,207 ERROR: Encountered non-finite generator loss at iter 5086; skipping update. +2025-10-31 16:58:08,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:08,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:08,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=10.92, mean=-0.1788, std=2.856, absmax=11.39 +2025-10-31 16:58:08,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.628, max=9.259, mean=-0.1883, std=2.491, absmax=9.628 +2025-10-31 16:58:08,710 ERROR: Encountered non-finite generator loss at iter 5087; skipping update. +2025-10-31 16:58:08,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:08,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:08,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:08,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:08,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.21, mean=-0.05882, std=2.761, absmax=14.31 +2025-10-31 16:58:08,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.55, mean=-0.1032, std=2.339, absmax=10.45 +2025-10-31 16:58:09,211 ERROR: Encountered non-finite generator loss at iter 5088; skipping update. +2025-10-31 16:58:09,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,213 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,214 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:09,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:09,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=13.06, mean=-0.2303, std=2.901, absmax=13.06 +2025-10-31 16:58:09,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=10.27, mean=-0.2024, std=2.425, absmax=10.27 +2025-10-31 16:58:09,711 ERROR: Encountered non-finite generator loss at iter 5089; skipping update. +2025-10-31 16:58:09,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:09,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:09,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:09,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:09,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.82, mean=-0.08058, std=3.015, absmax=14.1 +2025-10-31 16:58:09,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.2, mean=-0.1112, std=2.496, absmax=11.2 +2025-10-31 16:58:10,210 ERROR: Encountered non-finite generator loss at iter 5090; skipping update. +2025-10-31 16:58:10,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:10,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:10,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.47, mean=-0.1593, std=2.891, absmax=13.58 +2025-10-31 16:58:10,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.83, mean=-0.1806, std=2.315, absmax=10.83 +2025-10-31 16:58:10,712 ERROR: Encountered non-finite generator loss at iter 5091; skipping update. +2025-10-31 16:58:10,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:10,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:10,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:10,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:10,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.83, mean=-0.1563, std=2.937, absmax=13.83 +2025-10-31 16:58:10,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=12.16, mean=-0.1349, std=2.277, absmax=12.16 +2025-10-31 16:58:11,215 ERROR: Encountered non-finite generator loss at iter 5092; skipping update. +2025-10-31 16:58:11,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:11,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:11,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.6, mean=-0.1705, std=3.176, absmax=14.07 +2025-10-31 16:58:11,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=10.46, mean=-0.1552, std=2.618, absmax=10.96 +2025-10-31 16:58:11,719 ERROR: Encountered non-finite generator loss at iter 5093; skipping update. +2025-10-31 16:58:11,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:11,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:11,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:11,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:11,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.18, mean=-0.1429, std=2.966, absmax=13.32 +2025-10-31 16:58:11,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.825, max=9.355, mean=-0.1334, std=2.289, absmax=9.355 +2025-10-31 16:58:12,221 ERROR: Encountered non-finite generator loss at iter 5094; skipping update. +2025-10-31 16:58:12,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:12,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:12,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.03, mean=-0.308, std=2.65, absmax=12.88 +2025-10-31 16:58:12,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=9.358, mean=-0.2826, std=2.156, absmax=9.811 +2025-10-31 16:58:12,723 ERROR: Encountered non-finite generator loss at iter 5095; skipping update. +2025-10-31 16:58:12,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:12,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:12,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:12,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:12,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.97, mean=-0.02596, std=2.921, absmax=13.17 +2025-10-31 16:58:12,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.846, max=9.216, mean=-0.03141, std=2.505, absmax=9.846 +2025-10-31 16:58:13,223 ERROR: Encountered non-finite generator loss at iter 5096; skipping update. +2025-10-31 16:58:13,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:13,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:13,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.92, mean=0.04919, std=3.496, absmax=13.87 +2025-10-31 16:58:13,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.93, max=11.54, mean=0.03157, std=2.971, absmax=12.93 +2025-10-31 16:58:13,726 ERROR: Encountered non-finite generator loss at iter 5097; skipping update. +2025-10-31 16:58:13,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:13,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:13,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:13,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:13,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=12.52, mean=-0.1673, std=3.247, absmax=13.82 +2025-10-31 16:58:13,734 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=9.585, mean=-0.2493, std=2.915, absmax=11.46 +2025-10-31 16:58:14,226 ERROR: Encountered non-finite generator loss at iter 5098; skipping update. +2025-10-31 16:58:14,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:14,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:14,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.97, mean=-0.242, std=2.966, absmax=12.97 +2025-10-31 16:58:14,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.315, max=9.994, mean=-0.2496, std=2.498, absmax=9.994 +2025-10-31 16:58:14,725 ERROR: Encountered non-finite generator loss at iter 5099; skipping update. +2025-10-31 16:58:14,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:14,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:14,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:14,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:14,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.28, max=17.1, mean=0.06206, std=3.294, absmax=17.1 +2025-10-31 16:58:14,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=14.29, mean=0.07316, std=2.761, absmax=14.29 +2025-10-31 16:58:15,227 ERROR: Encountered non-finite generator loss at iter 5100; skipping update. +2025-10-31 16:58:15,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:15,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:15,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.87, mean=-0.1887, std=2.953, absmax=13.87 +2025-10-31 16:58:15,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.47, mean=-0.1632, std=2.575, absmax=11.47 +2025-10-31 16:58:15,237 INFO: [29..][epoch: 0, step: 5,100, lr:(1.500e-04,)] [eta: 1 day, 19:24:07, time (data): 0.503 (0.000)] +2025-10-31 16:58:15,728 ERROR: Encountered non-finite generator loss at iter 5101; skipping update. +2025-10-31 16:58:15,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:15,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:15,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:15,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:15,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=10.97, mean=-0.3079, std=2.546, absmax=13.1 +2025-10-31 16:58:15,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.382, mean=-0.2695, std=2.191, absmax=10.28 +2025-10-31 16:58:16,228 ERROR: Encountered non-finite generator loss at iter 5102; skipping update. +2025-10-31 16:58:16,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:16,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:16,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.95, mean=-0.2802, std=3.419, absmax=14.15 +2025-10-31 16:58:16,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=10.35, mean=-0.2391, std=2.781, absmax=11.37 +2025-10-31 16:58:16,727 ERROR: Encountered non-finite generator loss at iter 5103; skipping update. +2025-10-31 16:58:16,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:16,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:16,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:16,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:16,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.89, mean=-0.03321, std=2.746, absmax=14.89 +2025-10-31 16:58:16,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=12.62, mean=-0.04075, std=2.291, absmax=12.62 +2025-10-31 16:58:17,228 ERROR: Encountered non-finite generator loss at iter 5104; skipping update. +2025-10-31 16:58:17,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:17,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:17,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=10.65, mean=-0.1855, std=2.39, absmax=11.03 +2025-10-31 16:58:17,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.876, mean=-0.1593, std=2.143, absmax=10.67 +2025-10-31 16:58:17,731 ERROR: Encountered non-finite generator loss at iter 5105; skipping update. +2025-10-31 16:58:17,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:17,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:17,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:17,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:17,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.92, mean=-0.2728, std=2.91, absmax=13.52 +2025-10-31 16:58:17,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=7.917, mean=-0.2569, std=2.397, absmax=10.97 +2025-10-31 16:58:18,230 ERROR: Encountered non-finite generator loss at iter 5106; skipping update. +2025-10-31 16:58:18,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,233 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:18,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:18,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.28, mean=0.1067, std=2.966, absmax=13.28 +2025-10-31 16:58:18,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.712, max=11.9, mean=0.08273, std=2.521, absmax=11.9 +2025-10-31 16:58:18,730 ERROR: Encountered non-finite generator loss at iter 5107; skipping update. +2025-10-31 16:58:18,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:18,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:18,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:18,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:18,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.5, mean=-0.2001, std=3.021, absmax=12.11 +2025-10-31 16:58:18,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.371, max=9.021, mean=-0.1921, std=2.42, absmax=9.371 +2025-10-31 16:58:19,228 ERROR: Encountered non-finite generator loss at iter 5108; skipping update. +2025-10-31 16:58:19,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:19,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:19,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=14.92, mean=-0.2697, std=2.916, absmax=14.92 +2025-10-31 16:58:19,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.881, max=11.15, mean=-0.2435, std=2.522, absmax=11.15 +2025-10-31 16:58:19,728 ERROR: Encountered non-finite generator loss at iter 5109; skipping update. +2025-10-31 16:58:19,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:19,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:19,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:19,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:19,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=13.6, mean=-0.2534, std=3.227, absmax=15.52 +2025-10-31 16:58:19,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=9.418, mean=-0.2378, std=2.611, absmax=9.859 +2025-10-31 16:58:20,228 ERROR: Encountered non-finite generator loss at iter 5110; skipping update. +2025-10-31 16:58:20,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:20,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:20,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.97, mean=0.1887, std=3.648, absmax=14.97 +2025-10-31 16:58:20,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.52, mean=0.1479, std=2.911, absmax=11.52 +2025-10-31 16:58:20,728 ERROR: Encountered non-finite generator loss at iter 5111; skipping update. +2025-10-31 16:58:20,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:20,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:20,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:20,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:20,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=11.6, mean=-0.1139, std=2.667, absmax=11.6 +2025-10-31 16:58:20,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.349, max=9.638, mean=-0.1479, std=2.129, absmax=9.638 +2025-10-31 16:58:21,262 ERROR: Encountered non-finite generator loss at iter 5112; skipping update. +2025-10-31 16:58:21,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:21,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:21,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.05, mean=-0.2991, std=3.104, absmax=14.05 +2025-10-31 16:58:21,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.585, mean=-0.3197, std=2.607, absmax=10.05 +2025-10-31 16:58:21,763 ERROR: Encountered non-finite generator loss at iter 5113; skipping update. +2025-10-31 16:58:21,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:21,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:21,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:21,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:21,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.43, mean=-0.2144, std=3.349, absmax=13.43 +2025-10-31 16:58:21,772 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=10.94, mean=-0.2136, std=2.757, absmax=11.45 +2025-10-31 16:58:22,264 ERROR: Encountered non-finite generator loss at iter 5114; skipping update. +2025-10-31 16:58:22,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:22,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:22,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=12.77, mean=-0.2944, std=3.608, absmax=15.33 +2025-10-31 16:58:22,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.02, mean=-0.2772, std=2.88, absmax=10.85 +2025-10-31 16:58:22,764 ERROR: Encountered non-finite generator loss at iter 5115; skipping update. +2025-10-31 16:58:22,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:22,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:22,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:22,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:22,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=11.67, mean=-0.1719, std=2.928, absmax=14.77 +2025-10-31 16:58:22,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=8.88, mean=-0.1755, std=2.348, absmax=10.36 +2025-10-31 16:58:23,265 ERROR: Encountered non-finite generator loss at iter 5116; skipping update. +2025-10-31 16:58:23,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:23,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:23,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.99, mean=-0.204, std=3.776, absmax=13.45 +2025-10-31 16:58:23,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.93, mean=-0.1671, std=3.053, absmax=11.36 +2025-10-31 16:58:23,767 ERROR: Encountered non-finite generator loss at iter 5117; skipping update. +2025-10-31 16:58:23,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:23,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:23,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:23,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:23,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.36, mean=0.07124, std=3.126, absmax=12.36 +2025-10-31 16:58:23,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.43, max=9.938, mean=0.03691, std=2.674, absmax=9.938 +2025-10-31 16:58:24,266 ERROR: Encountered non-finite generator loss at iter 5118; skipping update. +2025-10-31 16:58:24,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,269 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,272 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,273 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:24,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:24,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=12.76, mean=-0.3744, std=3.542, absmax=14.42 +2025-10-31 16:58:24,276 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=10.04, mean=-0.3766, std=2.947, absmax=12.27 +2025-10-31 16:58:24,767 ERROR: Encountered non-finite generator loss at iter 5119; skipping update. +2025-10-31 16:58:24,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:24,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:24,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:24,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:24,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.45, max=12.57, mean=-0.2382, std=2.895, absmax=16.45 +2025-10-31 16:58:24,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.952, mean=-0.2324, std=2.425, absmax=11.63 +2025-10-31 16:58:25,267 ERROR: Encountered non-finite generator loss at iter 5120; skipping update. +2025-10-31 16:58:25,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:25,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:25,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.59, mean=-0.1468, std=2.978, absmax=12.59 +2025-10-31 16:58:25,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.37, mean=-0.1491, std=2.558, absmax=10.49 +2025-10-31 16:58:25,774 ERROR: Encountered non-finite generator loss at iter 5121; skipping update. +2025-10-31 16:58:25,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:25,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:25,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:25,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:25,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=15.88, mean=-0.1075, std=3.113, absmax=15.88 +2025-10-31 16:58:25,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=9.974, mean=-0.128, std=2.699, absmax=11.37 +2025-10-31 16:58:26,276 ERROR: Encountered non-finite generator loss at iter 5122; skipping update. +2025-10-31 16:58:26,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:26,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:26,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=11.67, mean=-0.08108, std=2.911, absmax=11.67 +2025-10-31 16:58:26,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.437, max=9.926, mean=-0.06666, std=2.565, absmax=9.926 +2025-10-31 16:58:26,775 ERROR: Encountered non-finite generator loss at iter 5123; skipping update. +2025-10-31 16:58:26,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:26,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:26,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:26,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:26,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.26, mean=-0.2182, std=3.25, absmax=14.14 +2025-10-31 16:58:26,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=8.786, mean=-0.2054, std=2.679, absmax=11.57 +2025-10-31 16:58:27,275 ERROR: Encountered non-finite generator loss at iter 5124; skipping update. +2025-10-31 16:58:27,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:27,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:27,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.65, mean=-0.03787, std=3.132, absmax=14.65 +2025-10-31 16:58:27,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=11.78, mean=-0.09071, std=2.517, absmax=11.78 +2025-10-31 16:58:27,775 ERROR: Encountered non-finite generator loss at iter 5125; skipping update. +2025-10-31 16:58:27,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:27,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:27,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:27,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:27,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.93, mean=0.1434, std=3.308, absmax=12.93 +2025-10-31 16:58:27,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.41, mean=0.1034, std=2.884, absmax=11.41 +2025-10-31 16:58:28,275 ERROR: Encountered non-finite generator loss at iter 5126; skipping update. +2025-10-31 16:58:28,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:28,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:28,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=17.85, mean=-0.09755, std=3.007, absmax=17.85 +2025-10-31 16:58:28,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.018, max=13.11, mean=-0.1414, std=2.341, absmax=13.11 +2025-10-31 16:58:28,777 ERROR: Encountered non-finite generator loss at iter 5127; skipping update. +2025-10-31 16:58:28,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:28,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:28,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:28,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:28,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.59, mean=-0.2328, std=3.064, absmax=13.59 +2025-10-31 16:58:28,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.13, mean=-0.1834, std=2.678, absmax=11.13 +2025-10-31 16:58:29,275 ERROR: Encountered non-finite generator loss at iter 5128; skipping update. +2025-10-31 16:58:29,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:29,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:29,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=15.87, mean=-0.1312, std=3.253, absmax=15.87 +2025-10-31 16:58:29,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.6, mean=-0.1618, std=2.713, absmax=10.6 +2025-10-31 16:58:29,774 ERROR: Encountered non-finite generator loss at iter 5129; skipping update. +2025-10-31 16:58:29,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:29,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:29,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:29,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:29,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.49, mean=-0.1266, std=3.699, absmax=13.7 +2025-10-31 16:58:29,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.23, max=10.76, mean=-0.1525, std=3.055, absmax=13.23 +2025-10-31 16:58:30,273 ERROR: Encountered non-finite generator loss at iter 5130; skipping update. +2025-10-31 16:58:30,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:30,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:30,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.99, mean=-0.2602, std=2.536, absmax=13.99 +2025-10-31 16:58:30,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.258, max=8.767, mean=-0.262, std=2.194, absmax=9.258 +2025-10-31 16:58:30,774 ERROR: Encountered non-finite generator loss at iter 5131; skipping update. +2025-10-31 16:58:30,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:30,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:30,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:30,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:30,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.19, mean=0.02663, std=3.437, absmax=14.19 +2025-10-31 16:58:30,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=12.4, mean=0.01982, std=2.964, absmax=12.4 +2025-10-31 16:58:31,275 ERROR: Encountered non-finite generator loss at iter 5132; skipping update. +2025-10-31 16:58:31,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:31,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:31,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.08, mean=-0.2309, std=3.655, absmax=13.95 +2025-10-31 16:58:31,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.61, mean=-0.1911, std=3.034, absmax=11.39 +2025-10-31 16:58:31,777 ERROR: Encountered non-finite generator loss at iter 5133; skipping update. +2025-10-31 16:58:31,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,784 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:31,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:31,786 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:31,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:31,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.15, mean=0.01263, std=2.932, absmax=13.15 +2025-10-31 16:58:31,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.652, max=9.13, mean=-0.03769, std=2.443, absmax=9.13 +2025-10-31 16:58:32,283 ERROR: Encountered non-finite generator loss at iter 5134; skipping update. +2025-10-31 16:58:32,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:32,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:32,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=13.38, mean=-0.04048, std=3.063, absmax=13.38 +2025-10-31 16:58:32,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11.14, mean=-0.01305, std=2.546, absmax=11.14 +2025-10-31 16:58:32,785 ERROR: Encountered non-finite generator loss at iter 5135; skipping update. +2025-10-31 16:58:32,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,790 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:32,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:32,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:32,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:32,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.98, mean=-0.297, std=3.113, absmax=13.3 +2025-10-31 16:58:32,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=10.56, mean=-0.2363, std=2.622, absmax=10.56 +2025-10-31 16:58:33,287 ERROR: Encountered non-finite generator loss at iter 5136; skipping update. +2025-10-31 16:58:33,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,290 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,294 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:33,295 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:33,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.72, mean=-0.05482, std=3.242, absmax=13.89 +2025-10-31 16:58:33,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=11.75, mean=-0.03614, std=2.614, absmax=11.75 +2025-10-31 16:58:33,791 ERROR: Encountered non-finite generator loss at iter 5137; skipping update. +2025-10-31 16:58:33,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:33,797 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:33,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:33,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:33,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=9.811, mean=-0.2896, std=2.326, absmax=12.25 +2025-10-31 16:58:33,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=7.79, mean=-0.2687, std=2.167, absmax=10.86 +2025-10-31 16:58:34,294 ERROR: Encountered non-finite generator loss at iter 5138; skipping update. +2025-10-31 16:58:34,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:34,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:34,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.6, mean=-0.144, std=3.097, absmax=13.6 +2025-10-31 16:58:34,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.656, max=9.186, mean=-0.1901, std=2.471, absmax=9.656 +2025-10-31 16:58:34,797 ERROR: Encountered non-finite generator loss at iter 5139; skipping update. +2025-10-31 16:58:34,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:34,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:34,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:34,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:34,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=15.31, mean=-0.197, std=3.852, absmax=15.31 +2025-10-31 16:58:34,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=10.21, mean=-0.1916, std=3.327, absmax=13.15 +2025-10-31 16:58:35,298 ERROR: Encountered non-finite generator loss at iter 5140; skipping update. +2025-10-31 16:58:35,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:35,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:35,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.48, mean=-0.2631, std=2.885, absmax=13.18 +2025-10-31 16:58:35,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.387, mean=-0.2605, std=2.31, absmax=10.55 +2025-10-31 16:58:35,803 ERROR: Encountered non-finite generator loss at iter 5141; skipping update. +2025-10-31 16:58:35,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:35,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:35,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:35,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:35,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.39, mean=-0.3178, std=2.975, absmax=13.39 +2025-10-31 16:58:35,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.901, mean=-0.3063, std=2.426, absmax=10.38 +2025-10-31 16:58:36,304 ERROR: Encountered non-finite generator loss at iter 5142; skipping update. +2025-10-31 16:58:36,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:36,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:36,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.76, mean=-0.135, std=3.081, absmax=12.05 +2025-10-31 16:58:36,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.538, max=10.16, mean=-0.1237, std=2.591, absmax=10.16 +2025-10-31 16:58:36,806 ERROR: Encountered non-finite generator loss at iter 5143; skipping update. +2025-10-31 16:58:36,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:36,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:36,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:36,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:36,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.15, mean=-0.1326, std=2.855, absmax=13.05 +2025-10-31 16:58:36,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=8.492, mean=-0.07039, std=2.435, absmax=9.657 +2025-10-31 16:58:37,309 ERROR: Encountered non-finite generator loss at iter 5144; skipping update. +2025-10-31 16:58:37,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:37,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:37,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.15, mean=-0.2966, std=3.053, absmax=13.15 +2025-10-31 16:58:37,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.17, mean=-0.2843, std=2.71, absmax=10.42 +2025-10-31 16:58:37,812 ERROR: Encountered non-finite generator loss at iter 5145; skipping update. +2025-10-31 16:58:37,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:37,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:37,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:37,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:37,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.52, mean=0.0876, std=3.716, absmax=13.52 +2025-10-31 16:58:37,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.07, mean=0.009452, std=2.948, absmax=11.07 +2025-10-31 16:58:38,314 ERROR: Encountered non-finite generator loss at iter 5146; skipping update. +2025-10-31 16:58:38,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:38,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:38,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=11.57, mean=-0.1373, std=2.463, absmax=11.57 +2025-10-31 16:58:38,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.157, max=9.128, mean=-0.1398, std=2.078, absmax=9.128 +2025-10-31 16:58:38,818 ERROR: Encountered non-finite generator loss at iter 5147; skipping update. +2025-10-31 16:58:38,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:38,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:38,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:38,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:38,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.87, mean=-0.1409, std=2.861, absmax=12.87 +2025-10-31 16:58:38,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=11.48, mean=-0.1448, std=2.483, absmax=11.48 +2025-10-31 16:58:39,323 ERROR: Encountered non-finite generator loss at iter 5148; skipping update. +2025-10-31 16:58:39,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:39,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:39,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=14.25, mean=0.06281, std=3.511, absmax=14.99 +2025-10-31 16:58:39,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=10.76, mean=-0.01353, std=2.887, absmax=11.62 +2025-10-31 16:58:39,827 ERROR: Encountered non-finite generator loss at iter 5149; skipping update. +2025-10-31 16:58:39,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:39,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:39,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:39,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:39,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=12.72, mean=-0.04035, std=3.017, absmax=15.33 +2025-10-31 16:58:39,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=9.058, mean=-0.08225, std=2.586, absmax=12.05 +2025-10-31 16:58:40,330 ERROR: Encountered non-finite generator loss at iter 5150; skipping update. +2025-10-31 16:58:40,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:40,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:40,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.06, mean=-0.04593, std=2.966, absmax=12.06 +2025-10-31 16:58:40,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.968, max=9.958, mean=-0.0472, std=2.354, absmax=9.958 +2025-10-31 16:58:40,834 ERROR: Encountered non-finite generator loss at iter 5151; skipping update. +2025-10-31 16:58:40,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:40,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:40,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:40,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:40,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=15.47, mean=-0.2382, std=3.032, absmax=15.47 +2025-10-31 16:58:40,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.178, max=10.47, mean=-0.2403, std=2.411, absmax=10.47 +2025-10-31 16:58:41,338 ERROR: Encountered non-finite generator loss at iter 5152; skipping update. +2025-10-31 16:58:41,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:41,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:41,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.15, mean=-0.05085, std=2.713, absmax=13.41 +2025-10-31 16:58:41,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.029, max=9.566, mean=-0.01901, std=2.243, absmax=9.566 +2025-10-31 16:58:41,840 ERROR: Encountered non-finite generator loss at iter 5153; skipping update. +2025-10-31 16:58:41,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:41,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:41,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:41,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:41,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=11.69, mean=-0.2267, std=2.687, absmax=11.69 +2025-10-31 16:58:41,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.898, max=10.42, mean=-0.1433, std=2.489, absmax=10.42 +2025-10-31 16:58:42,343 ERROR: Encountered non-finite generator loss at iter 5154; skipping update. +2025-10-31 16:58:42,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,345 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:42,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:42,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.43, mean=-0.1725, std=3.101, absmax=12.66 +2025-10-31 16:58:42,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.2, mean=-0.1653, std=2.64, absmax=10.05 +2025-10-31 16:58:42,846 ERROR: Encountered non-finite generator loss at iter 5155; skipping update. +2025-10-31 16:58:42,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:42,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:42,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:42,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:42,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.75, mean=-0.1658, std=2.889, absmax=14.1 +2025-10-31 16:58:42,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.551, mean=-0.1527, std=2.327, absmax=10.65 +2025-10-31 16:58:43,349 ERROR: Encountered non-finite generator loss at iter 5156; skipping update. +2025-10-31 16:58:43,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:43,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:43,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=11.74, mean=-0.212, std=3.004, absmax=14.32 +2025-10-31 16:58:43,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=9.062, mean=-0.2124, std=2.524, absmax=11.2 +2025-10-31 16:58:43,854 ERROR: Encountered non-finite generator loss at iter 5157; skipping update. +2025-10-31 16:58:43,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:43,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:43,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:43,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:43,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=12.83, mean=-0.03338, std=3.348, absmax=13.86 +2025-10-31 16:58:43,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.6, mean=-0.08329, std=2.852, absmax=11.35 +2025-10-31 16:58:44,358 ERROR: Encountered non-finite generator loss at iter 5158; skipping update. +2025-10-31 16:58:44,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:44,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:44,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.83, mean=0.0985, std=3.212, absmax=12.83 +2025-10-31 16:58:44,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.464, max=11.02, mean=0.08224, std=2.706, absmax=11.02 +2025-10-31 16:58:44,863 ERROR: Encountered non-finite generator loss at iter 5159; skipping update. +2025-10-31 16:58:44,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:44,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:44,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:44,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:44,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.3, mean=-0.03816, std=2.591, absmax=14.47 +2025-10-31 16:58:44,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.21, mean=-0.1019, std=2.21, absmax=10.06 +2025-10-31 16:58:45,367 ERROR: Encountered non-finite generator loss at iter 5160; skipping update. +2025-10-31 16:58:45,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:45,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:45,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.73, mean=-0.2243, std=2.702, absmax=13.2 +2025-10-31 16:58:45,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=7.573, mean=-0.1966, std=2.255, absmax=9.728 +2025-10-31 16:58:45,870 ERROR: Encountered non-finite generator loss at iter 5161; skipping update. +2025-10-31 16:58:45,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:45,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:45,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:45,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:45,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.2, mean=-0.3303, std=3.051, absmax=13.2 +2025-10-31 16:58:45,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.18, mean=-0.2926, std=2.579, absmax=11.18 +2025-10-31 16:58:46,371 ERROR: Encountered non-finite generator loss at iter 5162; skipping update. +2025-10-31 16:58:46,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:46,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:46,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.39, mean=0.02866, std=3.477, absmax=15.39 +2025-10-31 16:58:46,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=12.84, mean=-0.01083, std=3.012, absmax=12.84 +2025-10-31 16:58:46,875 ERROR: Encountered non-finite generator loss at iter 5163; skipping update. +2025-10-31 16:58:46,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:46,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:46,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:46,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:46,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=14.57, mean=-0.2252, std=2.841, absmax=15.22 +2025-10-31 16:58:46,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.36, mean=-0.1822, std=2.359, absmax=10.85 +2025-10-31 16:58:47,378 ERROR: Encountered non-finite generator loss at iter 5164; skipping update. +2025-10-31 16:58:47,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:47,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:47,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.97, mean=-0.1518, std=2.903, absmax=13.97 +2025-10-31 16:58:47,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=9.575, mean=-0.1451, std=2.525, absmax=9.584 +2025-10-31 16:58:47,881 ERROR: Encountered non-finite generator loss at iter 5165; skipping update. +2025-10-31 16:58:47,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,884 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:47,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:47,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:47,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:47,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.98, mean=-0.1607, std=2.57, absmax=12.98 +2025-10-31 16:58:47,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.025, mean=-0.1489, std=2.218, absmax=10.37 +2025-10-31 16:58:48,385 ERROR: Encountered non-finite generator loss at iter 5166; skipping update. +2025-10-31 16:58:48,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,389 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,390 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:48,391 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:48,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=17.86, mean=-0.2978, std=2.773, absmax=17.86 +2025-10-31 16:58:48,393 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=9.181, mean=-0.2841, std=2.275, absmax=11.22 +2025-10-31 16:58:48,888 ERROR: Encountered non-finite generator loss at iter 5167; skipping update. +2025-10-31 16:58:48,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,892 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,893 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:48,894 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:48,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:48,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:48,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=10.99, mean=-0.3748, std=3.245, absmax=13.36 +2025-10-31 16:58:48,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=9.301, mean=-0.3975, std=2.788, absmax=11.94 +2025-10-31 16:58:49,392 ERROR: Encountered non-finite generator loss at iter 5168; skipping update. +2025-10-31 16:58:49,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:49,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:49,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.02, mean=-0.1483, std=3.027, absmax=14.02 +2025-10-31 16:58:49,400 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.69, mean=-0.1487, std=2.374, absmax=10.69 +2025-10-31 16:58:49,894 ERROR: Encountered non-finite generator loss at iter 5169; skipping update. +2025-10-31 16:58:49,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:49,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:49,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:49,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:49,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=9.348, mean=-0.3584, std=2.688, absmax=11.88 +2025-10-31 16:58:49,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.299, max=7.45, mean=-0.3428, std=2.285, absmax=9.299 +2025-10-31 16:58:50,396 ERROR: Encountered non-finite generator loss at iter 5170; skipping update. +2025-10-31 16:58:50,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:50,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:50,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.36, mean=-0.3843, std=2.491, absmax=12.68 +2025-10-31 16:58:50,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=7.21, mean=-0.3296, std=2.104, absmax=9.228 +2025-10-31 16:58:50,899 ERROR: Encountered non-finite generator loss at iter 5171; skipping update. +2025-10-31 16:58:50,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:50,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:50,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:50,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:50,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.31, mean=-0.2525, std=3.039, absmax=13.63 +2025-10-31 16:58:50,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=9.422, mean=-0.2812, std=2.636, absmax=11.71 +2025-10-31 16:58:51,401 ERROR: Encountered non-finite generator loss at iter 5172; skipping update. +2025-10-31 16:58:51,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:51,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:51,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=15.22, mean=-0.133, std=2.848, absmax=15.22 +2025-10-31 16:58:51,410 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.989, max=12.31, mean=-0.1037, std=2.359, absmax=12.31 +2025-10-31 16:58:51,905 ERROR: Encountered non-finite generator loss at iter 5173; skipping update. +2025-10-31 16:58:51,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,908 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:51,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:51,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:51,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:51,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.72, mean=-0.1791, std=2.873, absmax=13.72 +2025-10-31 16:58:51,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.59, mean=-0.2104, std=2.383, absmax=10.59 +2025-10-31 16:58:52,407 ERROR: Encountered non-finite generator loss at iter 5174; skipping update. +2025-10-31 16:58:52,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:52,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:52,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=14.11, mean=-0.0975, std=2.967, absmax=14.11 +2025-10-31 16:58:52,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=9.149, mean=-0.1209, std=2.387, absmax=9.365 +2025-10-31 16:58:52,912 ERROR: Encountered non-finite generator loss at iter 5175; skipping update. +2025-10-31 16:58:52,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:52,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:52,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:52,918 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:52,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=15.01, mean=-0.2253, std=2.619, absmax=15.01 +2025-10-31 16:58:52,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=12.6, mean=-0.1711, std=2.351, absmax=12.6 +2025-10-31 16:58:53,412 ERROR: Encountered non-finite generator loss at iter 5176; skipping update. +2025-10-31 16:58:53,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:53,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:53,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.79, mean=-0.08617, std=3.045, absmax=14.79 +2025-10-31 16:58:53,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=9.42, mean=-0.1076, std=2.495, absmax=12.47 +2025-10-31 16:58:53,915 ERROR: Encountered non-finite generator loss at iter 5177; skipping update. +2025-10-31 16:58:53,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:53,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:53,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:53,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:53,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.69, mean=-0.2567, std=3.466, absmax=12.69 +2025-10-31 16:58:53,923 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=9.706, mean=-0.1949, std=2.826, absmax=10.35 +2025-10-31 16:58:54,416 ERROR: Encountered non-finite generator loss at iter 5178; skipping update. +2025-10-31 16:58:54,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:54,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:54,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.38, mean=-0.1821, std=3.228, absmax=13.67 +2025-10-31 16:58:54,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=11.28, mean=-0.1659, std=2.684, absmax=12.19 +2025-10-31 16:58:54,920 ERROR: Encountered non-finite generator loss at iter 5179; skipping update. +2025-10-31 16:58:54,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:54,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:54,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:54,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:54,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=12.26, mean=-0.2782, std=2.685, absmax=15.06 +2025-10-31 16:58:54,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.36, mean=-0.3009, std=2.47, absmax=11.36 +2025-10-31 16:58:55,421 ERROR: Encountered non-finite generator loss at iter 5180; skipping update. +2025-10-31 16:58:55,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:55,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:55,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.92, mean=-0.3634, std=3.471, absmax=13.93 +2025-10-31 16:58:55,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.98, mean=-0.3152, std=2.841, absmax=11.41 +2025-10-31 16:58:55,923 ERROR: Encountered non-finite generator loss at iter 5181; skipping update. +2025-10-31 16:58:55,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:55,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:55,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:55,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:55,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.13, mean=-0.2363, std=2.892, absmax=12.77 +2025-10-31 16:58:55,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=10.22, mean=-0.2528, std=2.475, absmax=10.22 +2025-10-31 16:58:56,425 ERROR: Encountered non-finite generator loss at iter 5182; skipping update. +2025-10-31 16:58:56,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:56,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:56,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.76, mean=-0.3551, std=3.334, absmax=14.76 +2025-10-31 16:58:56,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.836, mean=-0.291, std=2.778, absmax=10.61 +2025-10-31 16:58:56,926 ERROR: Encountered non-finite generator loss at iter 5183; skipping update. +2025-10-31 16:58:56,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:56,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:56,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:56,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:56,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=14.02, mean=0.02163, std=3.088, absmax=14.02 +2025-10-31 16:58:56,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.007, max=11.86, mean=-0.002076, std=2.638, absmax=11.86 +2025-10-31 16:58:57,427 ERROR: Encountered non-finite generator loss at iter 5184; skipping update. +2025-10-31 16:58:57,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:57,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:57,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=12.59, mean=-0.2156, std=3.013, absmax=14.41 +2025-10-31 16:58:57,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.962, max=10.46, mean=-0.2188, std=2.515, absmax=10.46 +2025-10-31 16:58:57,930 ERROR: Encountered non-finite generator loss at iter 5185; skipping update. +2025-10-31 16:58:57,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:57,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:57,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:57,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:57,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.21, mean=-0.1234, std=2.825, absmax=13.21 +2025-10-31 16:58:57,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.709, max=10.71, mean=-0.1266, std=2.363, absmax=10.71 +2025-10-31 16:58:58,432 ERROR: Encountered non-finite generator loss at iter 5186; skipping update. +2025-10-31 16:58:58,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:58,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:58,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.01, mean=0.06188, std=2.951, absmax=13.01 +2025-10-31 16:58:58,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.02, mean=0.02866, std=2.36, absmax=11.02 +2025-10-31 16:58:58,933 ERROR: Encountered non-finite generator loss at iter 5187; skipping update. +2025-10-31 16:58:58,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,936 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,937 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:58,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:58,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:58,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:58,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=15.17, mean=-0.3125, std=3.082, absmax=15.17 +2025-10-31 16:58:58,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=11.28, mean=-0.3105, std=2.387, absmax=11.28 +2025-10-31 16:58:59,433 ERROR: Encountered non-finite generator loss at iter 5188; skipping update. +2025-10-31 16:58:59,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:59,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:59,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=16.49, mean=-0.2062, std=3.01, absmax=16.49 +2025-10-31 16:58:59,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.25, mean=-0.1931, std=2.498, absmax=11.16 +2025-10-31 16:58:59,933 ERROR: Encountered non-finite generator loss at iter 5189; skipping update. +2025-10-31 16:58:59,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,936 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:58:59,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:58:59,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:58:59,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:58:59,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.58, mean=-0.2156, std=2.657, absmax=12.44 +2025-10-31 16:58:59,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.696, mean=-0.1967, std=2.291, absmax=10.14 +2025-10-31 16:59:00,432 ERROR: Encountered non-finite generator loss at iter 5190; skipping update. +2025-10-31 16:59:00,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:00,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:00,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=11.98, mean=-0.2439, std=3.319, absmax=13.65 +2025-10-31 16:59:00,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=10.05, mean=-0.2612, std=2.911, absmax=11.55 +2025-10-31 16:59:00,936 ERROR: Encountered non-finite generator loss at iter 5191; skipping update. +2025-10-31 16:59:00,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:00,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:00,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:00,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:00,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=13.32, mean=-0.3734, std=3.213, absmax=14.21 +2025-10-31 16:59:00,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=9.97, mean=-0.365, std=2.867, absmax=11.63 +2025-10-31 16:59:01,439 ERROR: Encountered non-finite generator loss at iter 5192; skipping update. +2025-10-31 16:59:01,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:01,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:01,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=14.33, mean=-0.2214, std=3.248, absmax=14.44 +2025-10-31 16:59:01,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.748, mean=-0.1988, std=2.655, absmax=10.13 +2025-10-31 16:59:01,940 ERROR: Encountered non-finite generator loss at iter 5193; skipping update. +2025-10-31 16:59:01,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:01,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:01,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:01,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:01,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.85, mean=-0.08845, std=3.286, absmax=13.56 +2025-10-31 16:59:01,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.857, mean=-0.08413, std=2.656, absmax=10.42 +2025-10-31 16:59:02,443 ERROR: Encountered non-finite generator loss at iter 5194; skipping update. +2025-10-31 16:59:02,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:02,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:02,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=15.16, mean=-0.1604, std=3.487, absmax=15.16 +2025-10-31 16:59:02,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.291, max=14.82, mean=-0.1036, std=3.163, absmax=14.82 +2025-10-31 16:59:02,946 ERROR: Encountered non-finite generator loss at iter 5195; skipping update. +2025-10-31 16:59:02,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:02,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:02,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:02,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:02,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=10.55, mean=-0.1296, std=2.801, absmax=11.7 +2025-10-31 16:59:02,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.875, max=9.258, mean=-0.1305, std=2.34, absmax=9.875 +2025-10-31 16:59:03,450 ERROR: Encountered non-finite generator loss at iter 5196; skipping update. +2025-10-31 16:59:03,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:03,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:03,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.46, mean=-0.06016, std=3.277, absmax=14.46 +2025-10-31 16:59:03,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.999, max=10.59, mean=-0.05757, std=2.627, absmax=10.59 +2025-10-31 16:59:03,953 ERROR: Encountered non-finite generator loss at iter 5197; skipping update. +2025-10-31 16:59:03,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:03,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:03,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:03,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:03,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.9, mean=-0.1672, std=2.964, absmax=13.96 +2025-10-31 16:59:03,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=10.69, mean=-0.1252, std=2.421, absmax=10.69 +2025-10-31 16:59:04,456 ERROR: Encountered non-finite generator loss at iter 5198; skipping update. +2025-10-31 16:59:04,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:04,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:04,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.6, mean=0.1869, std=3.384, absmax=15.6 +2025-10-31 16:59:04,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=12.95, mean=0.1784, std=2.931, absmax=12.95 +2025-10-31 16:59:04,958 ERROR: Encountered non-finite generator loss at iter 5199; skipping update. +2025-10-31 16:59:04,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:04,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:04,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:04,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:04,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=18.05, mean=-0.09919, std=2.68, absmax=18.05 +2025-10-31 16:59:04,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.875, max=10.87, mean=-0.09054, std=2.246, absmax=10.87 +2025-10-31 16:59:05,461 ERROR: Encountered non-finite generator loss at iter 5200; skipping update. +2025-10-31 16:59:05,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:05,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:05,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.64, max=16.11, mean=0.01103, std=3.409, absmax=17.64 +2025-10-31 16:59:05,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=12.96, mean=-0.01251, std=2.836, absmax=12.96 +2025-10-31 16:59:05,471 INFO: [29..][epoch: 0, step: 5,200, lr:(1.500e-04,)] [eta: 1 day, 19:12:24, time (data): 0.502 (0.000)] +2025-10-31 16:59:05,965 ERROR: Encountered non-finite generator loss at iter 5201; skipping update. +2025-10-31 16:59:05,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:05,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:05,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:05,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:05,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.07, mean=-0.2716, std=2.637, absmax=13.77 +2025-10-31 16:59:05,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.31, max=9.08, mean=-0.2693, std=2.25, absmax=12.31 +2025-10-31 16:59:06,469 ERROR: Encountered non-finite generator loss at iter 5202; skipping update. +2025-10-31 16:59:06,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:06,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:06,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=10.76, mean=-0.2398, std=3.231, absmax=13.9 +2025-10-31 16:59:06,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.65, max=10.41, mean=-0.2058, std=2.972, absmax=12.65 +2025-10-31 16:59:06,969 ERROR: Encountered non-finite generator loss at iter 5203; skipping update. +2025-10-31 16:59:06,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:06,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:06,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:06,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:06,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.81, mean=-0.2854, std=3.643, absmax=13.77 +2025-10-31 16:59:06,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.25, mean=-0.2753, std=3.22, absmax=11.65 +2025-10-31 16:59:07,472 ERROR: Encountered non-finite generator loss at iter 5204; skipping update. +2025-10-31 16:59:07,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:07,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:07,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.76, mean=0.0375, std=3.302, absmax=14.76 +2025-10-31 16:59:07,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.593, max=11.82, mean=0.02196, std=2.73, absmax=11.82 +2025-10-31 16:59:07,973 ERROR: Encountered non-finite generator loss at iter 5205; skipping update. +2025-10-31 16:59:07,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:07,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:07,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:07,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:07,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.13, mean=-0.1695, std=2.613, absmax=15.13 +2025-10-31 16:59:07,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=13.48, mean=-0.1823, std=2.403, absmax=13.48 +2025-10-31 16:59:08,476 ERROR: Encountered non-finite generator loss at iter 5206; skipping update. +2025-10-31 16:59:08,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,479 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:08,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:08,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.77, mean=-0.1854, std=2.562, absmax=11.77 +2025-10-31 16:59:08,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=9.969, mean=-0.1812, std=2.318, absmax=9.969 +2025-10-31 16:59:08,981 ERROR: Encountered non-finite generator loss at iter 5207; skipping update. +2025-10-31 16:59:08,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:08,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:08,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:08,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:08,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.07, mean=-0.07575, std=3.056, absmax=13.78 +2025-10-31 16:59:08,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=11.13, mean=-0.05267, std=2.574, absmax=11.13 +2025-10-31 16:59:09,484 ERROR: Encountered non-finite generator loss at iter 5208; skipping update. +2025-10-31 16:59:09,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:09,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:09,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.62, mean=0.04781, std=3.069, absmax=13.62 +2025-10-31 16:59:09,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=9.937, mean=-0.03224, std=2.696, absmax=9.937 +2025-10-31 16:59:09,989 ERROR: Encountered non-finite generator loss at iter 5209; skipping update. +2025-10-31 16:59:09,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:09,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:09,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:09,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:09,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.25, mean=-0.1761, std=2.701, absmax=14.25 +2025-10-31 16:59:09,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=11.48, mean=-0.2157, std=2.24, absmax=11.48 +2025-10-31 16:59:10,494 ERROR: Encountered non-finite generator loss at iter 5210; skipping update. +2025-10-31 16:59:10,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:10,497 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:10,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:10,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:10,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:10,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:10,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:10,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:10,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=15.05, mean=-0.03149, std=3.007, absmax=15.05 +2025-10-31 16:59:10,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.877, max=10.85, mean=-0.07237, std=2.326, absmax=10.85 +2025-10-31 16:59:11,000 ERROR: Encountered non-finite generator loss at iter 5211; skipping update. +2025-10-31 16:59:11,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:11,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:11,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=11.34, mean=-0.1643, std=2.893, absmax=11.34 +2025-10-31 16:59:11,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.665, max=9.047, mean=-0.1472, std=2.48, absmax=9.665 +2025-10-31 16:59:11,505 ERROR: Encountered non-finite generator loss at iter 5212; skipping update. +2025-10-31 16:59:11,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:11,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:11,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:11,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:11,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=15.64, mean=0.02768, std=3.115, absmax=15.64 +2025-10-31 16:59:11,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.63, mean=-0.01708, std=2.651, absmax=11.63 +2025-10-31 16:59:12,011 ERROR: Encountered non-finite generator loss at iter 5213; skipping update. +2025-10-31 16:59:12,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,015 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,016 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,018 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:12,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:12,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.21, mean=-0.09189, std=3.489, absmax=13.95 +2025-10-31 16:59:12,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=14.48, mean=-0.08305, std=2.924, absmax=14.48 +2025-10-31 16:59:12,516 ERROR: Encountered non-finite generator loss at iter 5214; skipping update. +2025-10-31 16:59:12,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:12,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:12,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:12,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:12,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=13.25, mean=-0.1454, std=2.686, absmax=13.25 +2025-10-31 16:59:12,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.536, max=8.921, mean=-0.1484, std=2.182, absmax=9.536 +2025-10-31 16:59:13,022 ERROR: Encountered non-finite generator loss at iter 5215; skipping update. +2025-10-31 16:59:13,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,025 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,028 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:13,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:13,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=11.64, mean=-0.2928, std=2.578, absmax=11.64 +2025-10-31 16:59:13,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.819, max=8.504, mean=-0.2201, std=2.219, absmax=8.819 +2025-10-31 16:59:13,528 ERROR: Encountered non-finite generator loss at iter 5216; skipping update. +2025-10-31 16:59:13,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:13,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:13,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:13,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:13,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=15.28, mean=-0.1868, std=2.997, absmax=15.28 +2025-10-31 16:59:13,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.339, max=10.86, mean=-0.1849, std=2.42, absmax=10.86 +2025-10-31 16:59:14,032 ERROR: Encountered non-finite generator loss at iter 5217; skipping update. +2025-10-31 16:59:14,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,035 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,036 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:14,039 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:14,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.41, mean=0.01378, std=3.135, absmax=13.41 +2025-10-31 16:59:14,041 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.4, mean=0.001925, std=2.619, absmax=11.4 +2025-10-31 16:59:14,537 ERROR: Encountered non-finite generator loss at iter 5218; skipping update. +2025-10-31 16:59:14,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:14,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:14,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:14,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:14,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.54, mean=-0.1465, std=3.15, absmax=13.54 +2025-10-31 16:59:14,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=11.28, mean=-0.1172, std=2.665, absmax=11.28 +2025-10-31 16:59:15,043 ERROR: Encountered non-finite generator loss at iter 5219; skipping update. +2025-10-31 16:59:15,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:15,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:15,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.98, mean=-0.1208, std=3.072, absmax=12.98 +2025-10-31 16:59:15,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=8.667, mean=-0.1751, std=2.616, absmax=10.31 +2025-10-31 16:59:15,549 ERROR: Encountered non-finite generator loss at iter 5220; skipping update. +2025-10-31 16:59:15,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:15,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:15,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:15,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:15,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.53, mean=-0.03626, std=2.714, absmax=13.53 +2025-10-31 16:59:15,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.17, mean=-0.03471, std=2.333, absmax=11.17 +2025-10-31 16:59:16,054 ERROR: Encountered non-finite generator loss at iter 5221; skipping update. +2025-10-31 16:59:16,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:16,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:16,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.41, mean=-0.1555, std=2.924, absmax=12.82 +2025-10-31 16:59:16,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.798, mean=-0.1497, std=2.315, absmax=10.16 +2025-10-31 16:59:16,572 ERROR: Encountered non-finite generator loss at iter 5222; skipping update. +2025-10-31 16:59:16,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:16,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:16,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:16,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:16,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=15.44, mean=-0.093, std=2.757, absmax=15.44 +2025-10-31 16:59:16,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.557, max=11.97, mean=-0.09841, std=2.318, absmax=11.97 +2025-10-31 16:59:17,078 ERROR: Encountered non-finite generator loss at iter 5223; skipping update. +2025-10-31 16:59:17,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:17,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:17,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.6, mean=0.09131, std=2.991, absmax=14.6 +2025-10-31 16:59:17,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=8.901, mean=0.01172, std=2.422, absmax=9.701 +2025-10-31 16:59:17,585 ERROR: Encountered non-finite generator loss at iter 5224; skipping update. +2025-10-31 16:59:17,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:17,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:17,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:17,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:17,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12.15, mean=-0.3206, std=3.127, absmax=13.93 +2025-10-31 16:59:17,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.993, max=9.065, mean=-0.3224, std=2.643, absmax=9.993 +2025-10-31 16:59:18,091 ERROR: Encountered non-finite generator loss at iter 5225; skipping update. +2025-10-31 16:59:18,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:18,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:18,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.89, max=10.71, mean=-0.2073, std=2.779, absmax=16.89 +2025-10-31 16:59:18,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.438, mean=-0.2034, std=2.442, absmax=10.61 +2025-10-31 16:59:18,596 ERROR: Encountered non-finite generator loss at iter 5226; skipping update. +2025-10-31 16:59:18,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:18,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:18,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:18,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:18,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.85, mean=-0.1626, std=2.708, absmax=13.04 +2025-10-31 16:59:18,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.451, max=9.135, mean=-0.1709, std=2.199, absmax=9.451 +2025-10-31 16:59:19,099 ERROR: Encountered non-finite generator loss at iter 5227; skipping update. +2025-10-31 16:59:19,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:19,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:19,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=15, mean=-0.1719, std=2.461, absmax=15 +2025-10-31 16:59:19,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.523, max=8.752, mean=-0.1981, std=2.07, absmax=9.523 +2025-10-31 16:59:19,603 ERROR: Encountered non-finite generator loss at iter 5228; skipping update. +2025-10-31 16:59:19,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:19,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:19,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:19,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:19,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=9.253, mean=-0.3556, std=2.654, absmax=12.63 +2025-10-31 16:59:19,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=8.111, mean=-0.3721, std=2.351, absmax=10.84 +2025-10-31 16:59:20,109 ERROR: Encountered non-finite generator loss at iter 5229; skipping update. +2025-10-31 16:59:20,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:20,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:20,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.55, mean=-0.2363, std=2.901, absmax=12.55 +2025-10-31 16:59:20,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.196, mean=-0.227, std=2.493, absmax=10.4 +2025-10-31 16:59:20,612 ERROR: Encountered non-finite generator loss at iter 5230; skipping update. +2025-10-31 16:59:20,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:20,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:20,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:20,621 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:20,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.88, mean=-0.2014, std=2.524, absmax=12.11 +2025-10-31 16:59:20,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.218, mean=-0.2038, std=2.133, absmax=10.05 +2025-10-31 16:59:21,117 ERROR: Encountered non-finite generator loss at iter 5231; skipping update. +2025-10-31 16:59:21,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:21,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:21,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.65, mean=0.1653, std=3.38, absmax=14.74 +2025-10-31 16:59:21,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=11.48, mean=0.1077, std=2.761, absmax=11.86 +2025-10-31 16:59:21,621 ERROR: Encountered non-finite generator loss at iter 5232; skipping update. +2025-10-31 16:59:21,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:21,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:21,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:21,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:21,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.1, mean=-0.2709, std=2.825, absmax=13.13 +2025-10-31 16:59:21,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=8.882, mean=-0.2835, std=2.519, absmax=11.91 +2025-10-31 16:59:22,125 ERROR: Encountered non-finite generator loss at iter 5233; skipping update. +2025-10-31 16:59:22,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:22,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:22,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=12.06, mean=-0.1494, std=2.567, absmax=12.06 +2025-10-31 16:59:22,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.62, max=9.717, mean=-0.1829, std=2.211, absmax=9.717 +2025-10-31 16:59:22,629 ERROR: Encountered non-finite generator loss at iter 5234; skipping update. +2025-10-31 16:59:22,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:22,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:22,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:22,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:22,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.99, mean=-0.1875, std=3.143, absmax=14.99 +2025-10-31 16:59:22,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.65, mean=-0.23, std=2.723, absmax=10.65 +2025-10-31 16:59:23,132 ERROR: Encountered non-finite generator loss at iter 5235; skipping update. +2025-10-31 16:59:23,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:23,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:23,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.36, mean=-0.1106, std=2.67, absmax=12.53 +2025-10-31 16:59:23,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.933, mean=-0.133, std=2.286, absmax=10.72 +2025-10-31 16:59:23,633 ERROR: Encountered non-finite generator loss at iter 5236; skipping update. +2025-10-31 16:59:23,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:23,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:23,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:23,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:23,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=11.43, mean=-0.2535, std=3.481, absmax=14.29 +2025-10-31 16:59:23,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=9.463, mean=-0.2497, std=3.028, absmax=13.39 +2025-10-31 16:59:24,137 ERROR: Encountered non-finite generator loss at iter 5237; skipping update. +2025-10-31 16:59:24,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:24,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:24,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.46, mean=-0.2438, std=2.524, absmax=12.53 +2025-10-31 16:59:24,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.037, max=8.24, mean=-0.2086, std=2.207, absmax=9.037 +2025-10-31 16:59:24,641 ERROR: Encountered non-finite generator loss at iter 5238; skipping update. +2025-10-31 16:59:24,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:24,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:24,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:24,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:24,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=14.02, mean=-0.2251, std=2.909, absmax=14.02 +2025-10-31 16:59:24,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.128, mean=-0.1963, std=2.451, absmax=10.17 +2025-10-31 16:59:25,144 ERROR: Encountered non-finite generator loss at iter 5239; skipping update. +2025-10-31 16:59:25,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:25,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:25,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=14.2, mean=-0.2928, std=3.515, absmax=14.2 +2025-10-31 16:59:25,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.961, mean=-0.2844, std=2.931, absmax=11.27 +2025-10-31 16:59:25,648 ERROR: Encountered non-finite generator loss at iter 5240; skipping update. +2025-10-31 16:59:25,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,651 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,651 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,652 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:25,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:25,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:25,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:25,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.89, mean=-0.1312, std=2.817, absmax=11.89 +2025-10-31 16:59:25,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=8.28, mean=-0.1247, std=2.242, absmax=9.344 +2025-10-31 16:59:26,150 ERROR: Encountered non-finite generator loss at iter 5241; skipping update. +2025-10-31 16:59:26,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:26,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:26,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.68, max=12.89, mean=-0.04728, std=2.927, absmax=15.68 +2025-10-31 16:59:26,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.51, mean=-0.07428, std=2.431, absmax=11.12 +2025-10-31 16:59:26,653 ERROR: Encountered non-finite generator loss at iter 5242; skipping update. +2025-10-31 16:59:26,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:26,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:26,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:26,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:26,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.61, mean=-0.112, std=2.914, absmax=13.04 +2025-10-31 16:59:26,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.458, max=9.954, mean=-0.07966, std=2.551, absmax=9.954 +2025-10-31 16:59:27,158 ERROR: Encountered non-finite generator loss at iter 5243; skipping update. +2025-10-31 16:59:27,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:27,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:27,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=13.59, mean=-0.1419, std=2.957, absmax=14.37 +2025-10-31 16:59:27,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=9.15, mean=-0.1098, std=2.474, absmax=11.51 +2025-10-31 16:59:27,662 ERROR: Encountered non-finite generator loss at iter 5244; skipping update. +2025-10-31 16:59:27,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:27,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:27,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:27,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:27,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=15.26, mean=-0.1099, std=3.115, absmax=15.26 +2025-10-31 16:59:27,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=10.43, mean=-0.1477, std=2.61, absmax=10.8 +2025-10-31 16:59:28,166 ERROR: Encountered non-finite generator loss at iter 5245; skipping update. +2025-10-31 16:59:28,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:28,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:28,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.06, mean=0.04605, std=3.147, absmax=12.06 +2025-10-31 16:59:28,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.539, max=9.263, mean=-0.0132, std=2.595, absmax=9.263 +2025-10-31 16:59:28,670 ERROR: Encountered non-finite generator loss at iter 5246; skipping update. +2025-10-31 16:59:28,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:28,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:28,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:28,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:28,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.43, mean=-0.1973, std=3.141, absmax=13.43 +2025-10-31 16:59:28,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=10.47, mean=-0.177, std=2.476, absmax=10.47 +2025-10-31 16:59:29,174 ERROR: Encountered non-finite generator loss at iter 5247; skipping update. +2025-10-31 16:59:29,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:29,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:29,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=15.09, mean=0.07053, std=3.595, absmax=15.09 +2025-10-31 16:59:29,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=13.47, mean=0.05562, std=3.089, absmax=13.47 +2025-10-31 16:59:29,676 ERROR: Encountered non-finite generator loss at iter 5248; skipping update. +2025-10-31 16:59:29,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:29,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:29,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:29,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:29,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.8, mean=-0.1534, std=2.405, absmax=12.8 +2025-10-31 16:59:29,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.959, max=8.377, mean=-0.1617, std=2.124, absmax=9.959 +2025-10-31 16:59:30,179 ERROR: Encountered non-finite generator loss at iter 5249; skipping update. +2025-10-31 16:59:30,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:30,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:30,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=18.02, mean=-0.06414, std=3.221, absmax=18.02 +2025-10-31 16:59:30,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.928, max=10.83, mean=-0.1179, std=2.591, absmax=10.83 +2025-10-31 16:59:30,683 ERROR: Encountered non-finite generator loss at iter 5250; skipping update. +2025-10-31 16:59:30,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:30,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:30,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:30,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:30,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=11.92, mean=-0.1379, std=3.085, absmax=14.29 +2025-10-31 16:59:30,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.81, max=9.948, mean=-0.1505, std=2.66, absmax=13.81 +2025-10-31 16:59:31,188 ERROR: Encountered non-finite generator loss at iter 5251; skipping update. +2025-10-31 16:59:31,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:31,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:31,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=15.2, mean=-0.09028, std=3.258, absmax=15.2 +2025-10-31 16:59:31,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.295, max=11.84, mean=-0.09618, std=2.806, absmax=11.84 +2025-10-31 16:59:31,694 ERROR: Encountered non-finite generator loss at iter 5252; skipping update. +2025-10-31 16:59:31,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:31,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:31,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:31,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:31,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.54, mean=-0.1996, std=3.022, absmax=12.9 +2025-10-31 16:59:31,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=8.507, mean=-0.2389, std=2.67, absmax=12.32 +2025-10-31 16:59:32,200 ERROR: Encountered non-finite generator loss at iter 5253; skipping update. +2025-10-31 16:59:32,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:32,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:32,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.67, mean=-0.2603, std=3.581, absmax=14.67 +2025-10-31 16:59:32,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.868, max=10.54, mean=-0.2038, std=2.924, absmax=10.54 +2025-10-31 16:59:32,704 ERROR: Encountered non-finite generator loss at iter 5254; skipping update. +2025-10-31 16:59:32,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:32,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:32,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:32,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:32,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.22, max=12.79, mean=-0.2395, std=3.077, absmax=16.22 +2025-10-31 16:59:32,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10, mean=-0.2168, std=2.563, absmax=10.21 +2025-10-31 16:59:33,209 ERROR: Encountered non-finite generator loss at iter 5255; skipping update. +2025-10-31 16:59:33,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:33,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:33,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.64, mean=0.01143, std=3.313, absmax=13.64 +2025-10-31 16:59:33,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.77, mean=-0.02582, std=2.753, absmax=11.77 +2025-10-31 16:59:33,715 ERROR: Encountered non-finite generator loss at iter 5256; skipping update. +2025-10-31 16:59:33,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:33,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:33,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:33,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:33,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.69, mean=-0.1437, std=3.039, absmax=13.71 +2025-10-31 16:59:33,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.793, mean=-0.1503, std=2.527, absmax=11.01 +2025-10-31 16:59:34,224 ERROR: Encountered non-finite generator loss at iter 5257; skipping update. +2025-10-31 16:59:34,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:34,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:34,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=14.01, mean=-0.2688, std=2.932, absmax=15.49 +2025-10-31 16:59:34,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=10.39, mean=-0.2598, std=2.392, absmax=10.39 +2025-10-31 16:59:34,729 ERROR: Encountered non-finite generator loss at iter 5258; skipping update. +2025-10-31 16:59:34,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:34,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:34,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:34,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:34,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.14, mean=-0.1874, std=3.218, absmax=12.64 +2025-10-31 16:59:34,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.329, mean=-0.1872, std=2.755, absmax=10.84 +2025-10-31 16:59:35,233 ERROR: Encountered non-finite generator loss at iter 5259; skipping update. +2025-10-31 16:59:35,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:35,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:35,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.19, mean=-0.3108, std=2.631, absmax=12.03 +2025-10-31 16:59:35,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=8.989, mean=-0.2964, std=2.232, absmax=9.903 +2025-10-31 16:59:35,739 ERROR: Encountered non-finite generator loss at iter 5260; skipping update. +2025-10-31 16:59:35,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:35,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:35,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:35,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:35,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.73, mean=-0.2126, std=2.744, absmax=14.73 +2025-10-31 16:59:35,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.259, max=8.741, mean=-0.1787, std=2.296, absmax=9.259 +2025-10-31 16:59:36,245 ERROR: Encountered non-finite generator loss at iter 5261; skipping update. +2025-10-31 16:59:36,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:36,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:36,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.838, max=10.78, mean=-0.2385, std=2.44, absmax=10.78 +2025-10-31 16:59:36,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.289, max=8.871, mean=-0.2447, std=2.209, absmax=9.289 +2025-10-31 16:59:36,750 ERROR: Encountered non-finite generator loss at iter 5262; skipping update. +2025-10-31 16:59:36,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:36,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:36,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:36,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:36,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.74, mean=-0.198, std=2.981, absmax=12.74 +2025-10-31 16:59:36,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.758, max=9.291, mean=-0.2192, std=2.488, absmax=9.758 +2025-10-31 16:59:37,256 ERROR: Encountered non-finite generator loss at iter 5263; skipping update. +2025-10-31 16:59:37,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:37,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:37,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.12, mean=-0.2052, std=3.169, absmax=14.12 +2025-10-31 16:59:37,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=9.921, mean=-0.1686, std=2.469, absmax=10.59 +2025-10-31 16:59:37,760 ERROR: Encountered non-finite generator loss at iter 5264; skipping update. +2025-10-31 16:59:37,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:37,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:37,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:37,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:37,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.56, mean=0.008216, std=2.781, absmax=12.56 +2025-10-31 16:59:37,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.81, max=11.5, mean=-0.0005971, std=2.455, absmax=11.5 +2025-10-31 16:59:38,262 ERROR: Encountered non-finite generator loss at iter 5265; skipping update. +2025-10-31 16:59:38,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:38,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:38,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.16, mean=0.1388, std=3.832, absmax=15.16 +2025-10-31 16:59:38,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=14.82, mean=0.1445, std=3.371, absmax=14.82 +2025-10-31 16:59:38,766 ERROR: Encountered non-finite generator loss at iter 5266; skipping update. +2025-10-31 16:59:38,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:38,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:38,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:38,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:38,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=15, mean=-0.06319, std=2.749, absmax=15 +2025-10-31 16:59:38,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.624, max=8.322, mean=-0.1136, std=2.114, absmax=8.624 +2025-10-31 16:59:39,269 ERROR: Encountered non-finite generator loss at iter 5267; skipping update. +2025-10-31 16:59:39,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:39,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:39,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=10.71, mean=-0.1252, std=3.115, absmax=15.3 +2025-10-31 16:59:39,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=9.662, mean=-0.1536, std=2.728, absmax=11.49 +2025-10-31 16:59:39,772 ERROR: Encountered non-finite generator loss at iter 5268; skipping update. +2025-10-31 16:59:39,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:39,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:39,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:39,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:39,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.93, mean=-0.1954, std=2.895, absmax=12.68 +2025-10-31 16:59:39,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.128, mean=-0.1778, std=2.366, absmax=10.29 +2025-10-31 16:59:40,276 ERROR: Encountered non-finite generator loss at iter 5269; skipping update. +2025-10-31 16:59:40,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:40,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:40,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.14, mean=-0.2583, std=3.085, absmax=14.14 +2025-10-31 16:59:40,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.332, mean=-0.2251, std=2.646, absmax=11.38 +2025-10-31 16:59:40,779 ERROR: Encountered non-finite generator loss at iter 5270; skipping update. +2025-10-31 16:59:40,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:40,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:40,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:40,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:40,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=19.51, mean=-0.1076, std=2.349, absmax=19.51 +2025-10-31 16:59:40,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.424, max=13.21, mean=-0.1309, std=1.96, absmax=13.21 +2025-10-31 16:59:41,282 ERROR: Encountered non-finite generator loss at iter 5271; skipping update. +2025-10-31 16:59:41,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:41,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:41,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.13, mean=-0.248, std=2.427, absmax=11.31 +2025-10-31 16:59:41,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.874, max=8.158, mean=-0.1971, std=2.07, absmax=8.158 +2025-10-31 16:59:41,787 ERROR: Encountered non-finite generator loss at iter 5272; skipping update. +2025-10-31 16:59:41,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:41,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:41,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:41,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:41,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.53, mean=-0.06645, std=3.255, absmax=14.05 +2025-10-31 16:59:41,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.49, mean=-0.05904, std=2.484, absmax=10.49 +2025-10-31 16:59:42,290 ERROR: Encountered non-finite generator loss at iter 5273; skipping update. +2025-10-31 16:59:42,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:42,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:42,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.95, mean=-0.2452, std=2.756, absmax=12.95 +2025-10-31 16:59:42,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=8.59, mean=-0.2059, std=2.327, absmax=9.895 +2025-10-31 16:59:42,794 ERROR: Encountered non-finite generator loss at iter 5274; skipping update. +2025-10-31 16:59:42,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:42,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:42,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:42,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:42,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=14.2, mean=-0.2796, std=2.719, absmax=14.2 +2025-10-31 16:59:42,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.44, mean=-0.263, std=2.316, absmax=10.44 +2025-10-31 16:59:43,299 ERROR: Encountered non-finite generator loss at iter 5275; skipping update. +2025-10-31 16:59:43,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:43,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:43,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=14.78, mean=0.005952, std=3.502, absmax=14.78 +2025-10-31 16:59:43,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.561, max=11.72, mean=-0.03369, std=2.704, absmax=11.72 +2025-10-31 16:59:43,803 ERROR: Encountered non-finite generator loss at iter 5276; skipping update. +2025-10-31 16:59:43,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:43,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:43,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:43,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:43,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.49, mean=-0.183, std=2.962, absmax=12.35 +2025-10-31 16:59:43,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.706, mean=-0.1925, std=2.497, absmax=11.01 +2025-10-31 16:59:44,307 ERROR: Encountered non-finite generator loss at iter 5277; skipping update. +2025-10-31 16:59:44,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:44,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:44,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.26, mean=-0.2389, std=2.84, absmax=12.8 +2025-10-31 16:59:44,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.11, mean=-0.2303, std=2.353, absmax=10.63 +2025-10-31 16:59:44,815 ERROR: Encountered non-finite generator loss at iter 5278; skipping update. +2025-10-31 16:59:44,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:44,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:44,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:44,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:44,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=11.5, mean=-0.2909, std=2.94, absmax=14.21 +2025-10-31 16:59:44,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=8.167, mean=-0.2692, std=2.498, absmax=11.86 +2025-10-31 16:59:45,320 ERROR: Encountered non-finite generator loss at iter 5279; skipping update. +2025-10-31 16:59:45,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:45,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:45,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.83, mean=-0.1213, std=2.899, absmax=13.16 +2025-10-31 16:59:45,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=8.666, mean=-0.1585, std=2.32, absmax=10.36 +2025-10-31 16:59:45,825 ERROR: Encountered non-finite generator loss at iter 5280; skipping update. +2025-10-31 16:59:45,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:45,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:45,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:45,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:45,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.42, mean=-0.05313, std=3.198, absmax=14.42 +2025-10-31 16:59:45,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.271, max=10.88, mean=-0.07391, std=2.69, absmax=10.88 +2025-10-31 16:59:46,336 ERROR: Encountered non-finite generator loss at iter 5281; skipping update. +2025-10-31 16:59:46,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:46,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:46,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.99, mean=-0.07063, std=2.879, absmax=12.02 +2025-10-31 16:59:46,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.87, mean=-0.06643, std=2.379, absmax=10.71 +2025-10-31 16:59:46,841 ERROR: Encountered non-finite generator loss at iter 5282; skipping update. +2025-10-31 16:59:46,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:46,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:46,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:46,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:46,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12, mean=-0.102, std=3.538, absmax=13.98 +2025-10-31 16:59:46,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=11.62, mean=-0.1335, std=3.099, absmax=11.86 +2025-10-31 16:59:47,343 ERROR: Encountered non-finite generator loss at iter 5283; skipping update. +2025-10-31 16:59:47,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:47,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:47,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.72, mean=-0.09756, std=3.293, absmax=13.72 +2025-10-31 16:59:47,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=10.75, mean=-0.1033, std=2.682, absmax=10.75 +2025-10-31 16:59:47,846 ERROR: Encountered non-finite generator loss at iter 5284; skipping update. +2025-10-31 16:59:47,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:47,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:47,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:47,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:47,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.15, mean=-0.241, std=2.787, absmax=12.49 +2025-10-31 16:59:47,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.86, mean=-0.1771, std=2.584, absmax=10.86 +2025-10-31 16:59:48,350 ERROR: Encountered non-finite generator loss at iter 5285; skipping update. +2025-10-31 16:59:48,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:48,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:48,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=18.75, mean=-0.2989, std=3.751, absmax=18.75 +2025-10-31 16:59:48,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.15, max=16.36, mean=-0.2831, std=3.247, absmax=16.36 +2025-10-31 16:59:48,853 ERROR: Encountered non-finite generator loss at iter 5286; skipping update. +2025-10-31 16:59:48,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:48,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:48,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:48,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:48,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.54, mean=-0.1508, std=3.689, absmax=13.72 +2025-10-31 16:59:48,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.7, mean=-0.1415, std=3.147, absmax=11.7 +2025-10-31 16:59:49,357 ERROR: Encountered non-finite generator loss at iter 5287; skipping update. +2025-10-31 16:59:49,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,359 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,361 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:49,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:49,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.18, mean=0.02194, std=3.382, absmax=13.18 +2025-10-31 16:59:49,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=11.46, mean=-0.00689, std=2.916, absmax=11.46 +2025-10-31 16:59:49,862 ERROR: Encountered non-finite generator loss at iter 5288; skipping update. +2025-10-31 16:59:49,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:49,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:49,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:49,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:49,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.27, mean=-0.1075, std=2.787, absmax=13.27 +2025-10-31 16:59:49,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=8.831, mean=-0.09473, std=2.402, absmax=9.872 +2025-10-31 16:59:50,366 ERROR: Encountered non-finite generator loss at iter 5289; skipping update. +2025-10-31 16:59:50,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:50,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:50,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.18, mean=-0.1259, std=3.061, absmax=12.64 +2025-10-31 16:59:50,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.745, max=10.03, mean=-0.1407, std=2.607, absmax=10.03 +2025-10-31 16:59:50,872 ERROR: Encountered non-finite generator loss at iter 5290; skipping update. +2025-10-31 16:59:50,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:50,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:50,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:50,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:50,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.62, mean=-0.2403, std=2.602, absmax=12.92 +2025-10-31 16:59:50,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.02, max=9.139, mean=-0.2095, std=2.232, absmax=9.139 +2025-10-31 16:59:51,375 ERROR: Encountered non-finite generator loss at iter 5291; skipping update. +2025-10-31 16:59:51,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,378 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:51,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:51,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.42, mean=-0.134, std=3.367, absmax=14.42 +2025-10-31 16:59:51,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.987, max=9.291, mean=-0.1654, std=2.765, absmax=9.987 +2025-10-31 16:59:51,880 ERROR: Encountered non-finite generator loss at iter 5292; skipping update. +2025-10-31 16:59:51,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,884 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:51,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:51,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:51,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:51,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=12.15, mean=-0.2492, std=2.833, absmax=16.52 +2025-10-31 16:59:51,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=8.927, mean=-0.2194, std=2.346, absmax=12.33 +2025-10-31 16:59:52,385 ERROR: Encountered non-finite generator loss at iter 5293; skipping update. +2025-10-31 16:59:52,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:52,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:52,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=15.46, mean=-0.2038, std=2.717, absmax=15.46 +2025-10-31 16:59:52,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=10.33, mean=-0.1397, std=2.339, absmax=10.41 +2025-10-31 16:59:52,889 ERROR: Encountered non-finite generator loss at iter 5294; skipping update. +2025-10-31 16:59:52,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:52,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:52,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:52,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:52,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=14.09, mean=0.1523, std=3.483, absmax=14.81 +2025-10-31 16:59:52,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=12.33, mean=0.09765, std=2.958, absmax=12.33 +2025-10-31 16:59:53,392 ERROR: Encountered non-finite generator loss at iter 5295; skipping update. +2025-10-31 16:59:53,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:53,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:53,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=9.208, mean=-0.1627, std=2.392, absmax=11.59 +2025-10-31 16:59:53,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.034, mean=-0.1985, std=2.138, absmax=10.02 +2025-10-31 16:59:53,896 ERROR: Encountered non-finite generator loss at iter 5296; skipping update. +2025-10-31 16:59:53,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:53,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:53,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:53,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:53,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=16.01, mean=-0.1487, std=3.525, absmax=16.01 +2025-10-31 16:59:53,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=13.68, mean=-0.1746, std=3.098, absmax=13.68 +2025-10-31 16:59:54,401 ERROR: Encountered non-finite generator loss at iter 5297; skipping update. +2025-10-31 16:59:54,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,404 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:54,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:54,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.35, mean=-0.08673, std=3.619, absmax=14.35 +2025-10-31 16:59:54,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.63, mean=-0.1476, std=2.949, absmax=11.63 +2025-10-31 16:59:54,901 ERROR: Encountered non-finite generator loss at iter 5298; skipping update. +2025-10-31 16:59:54,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:54,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:54,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:54,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:54,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.38, mean=-0.08239, std=2.859, absmax=12.73 +2025-10-31 16:59:54,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.95, mean=-0.1314, std=2.552, absmax=10.95 +2025-10-31 16:59:55,404 ERROR: Encountered non-finite generator loss at iter 5299; skipping update. +2025-10-31 16:59:55,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:55,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:55,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.43, mean=-0.2602, std=2.612, absmax=12.43 +2025-10-31 16:59:55,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.598, mean=-0.2028, std=2.353, absmax=11.18 +2025-10-31 16:59:55,908 ERROR: Encountered non-finite generator loss at iter 5300; skipping update. +2025-10-31 16:59:55,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:55,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:55,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:55,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:55,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.11, mean=-0.09364, std=2.481, absmax=12.23 +2025-10-31 16:59:55,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.613, max=9.122, mean=-0.09383, std=2.19, absmax=9.122 +2025-10-31 16:59:55,918 INFO: [29..][epoch: 0, step: 5,300, lr:(1.500e-04,)] [eta: 1 day, 19:01:17, time (data): 0.504 (0.000)] +2025-10-31 16:59:56,411 ERROR: Encountered non-finite generator loss at iter 5301; skipping update. +2025-10-31 16:59:56,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:56,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:56,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.82, mean=-0.1047, std=3.134, absmax=13.38 +2025-10-31 16:59:56,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.17, mean=-0.09898, std=2.637, absmax=11.63 +2025-10-31 16:59:56,915 ERROR: Encountered non-finite generator loss at iter 5302; skipping update. +2025-10-31 16:59:56,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:56,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:56,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:56,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:56,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=10.47, mean=-0.2187, std=2.64, absmax=11.41 +2025-10-31 16:59:56,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.663, max=9.35, mean=-0.1728, std=2.335, absmax=9.663 +2025-10-31 16:59:57,419 ERROR: Encountered non-finite generator loss at iter 5303; skipping update. +2025-10-31 16:59:57,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:57,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:57,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.43, mean=-0.07736, std=2.979, absmax=13.43 +2025-10-31 16:59:57,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.706, max=9.052, mean=-0.04902, std=2.472, absmax=9.052 +2025-10-31 16:59:57,922 ERROR: Encountered non-finite generator loss at iter 5304; skipping update. +2025-10-31 16:59:57,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:57,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:57,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:57,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:57,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.66, mean=-0.2067, std=2.591, absmax=11.94 +2025-10-31 16:59:57,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.529, max=7.963, mean=-0.2426, std=2.113, absmax=8.529 +2025-10-31 16:59:58,425 ERROR: Encountered non-finite generator loss at iter 5305; skipping update. +2025-10-31 16:59:58,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:58,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:58,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=14.19, mean=-0.01447, std=3.495, absmax=15.08 +2025-10-31 16:59:58,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=9.84, mean=-0.05565, std=3.039, absmax=12.36 +2025-10-31 16:59:58,928 ERROR: Encountered non-finite generator loss at iter 5306; skipping update. +2025-10-31 16:59:58,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:58,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:58,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:58,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:58,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.32, mean=-0.123, std=3.087, absmax=13.78 +2025-10-31 16:59:58,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=10.39, mean=-0.1068, std=2.525, absmax=10.39 +2025-10-31 16:59:59,434 ERROR: Encountered non-finite generator loss at iter 5307; skipping update. +2025-10-31 16:59:59,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,439 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:59,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:59,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.63, mean=-0.188, std=3.315, absmax=14.04 +2025-10-31 16:59:59,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=11.49, mean=-0.1218, std=2.936, absmax=12.21 +2025-10-31 16:59:59,938 ERROR: Encountered non-finite generator loss at iter 5308; skipping update. +2025-10-31 16:59:59,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 16:59:59,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 16:59:59,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 16:59:59,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 16:59:59,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.99, mean=-0.2338, std=2.624, absmax=11.99 +2025-10-31 16:59:59,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.137, max=9.133, mean=-0.2204, std=2.188, absmax=9.137 +2025-10-31 17:00:00,442 ERROR: Encountered non-finite generator loss at iter 5309; skipping update. +2025-10-31 17:00:00,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:00,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:00,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=14.5, mean=-0.04199, std=3.307, absmax=14.5 +2025-10-31 17:00:00,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=12.74, mean=-0.04257, std=2.85, absmax=12.74 +2025-10-31 17:00:00,945 ERROR: Encountered non-finite generator loss at iter 5310; skipping update. +2025-10-31 17:00:00,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:00,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:00,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:00,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:00,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.18, mean=-0.1293, std=2.997, absmax=14.47 +2025-10-31 17:00:00,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.386, mean=-0.14, std=2.431, absmax=10.47 +2025-10-31 17:00:01,448 ERROR: Encountered non-finite generator loss at iter 5311; skipping update. +2025-10-31 17:00:01,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,451 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:01,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:01,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.58, mean=-0.197, std=2.805, absmax=13.16 +2025-10-31 17:00:01,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.56, mean=-0.1967, std=2.305, absmax=10.29 +2025-10-31 17:00:01,951 ERROR: Encountered non-finite generator loss at iter 5312; skipping update. +2025-10-31 17:00:01,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:01,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:01,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:01,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:01,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.74, mean=-0.07308, std=3.081, absmax=14.74 +2025-10-31 17:00:01,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=12.71, mean=-0.1269, std=2.564, absmax=12.71 +2025-10-31 17:00:02,456 ERROR: Encountered non-finite generator loss at iter 5313; skipping update. +2025-10-31 17:00:02,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:02,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:02,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=15.43, mean=-0.0391, std=3.513, absmax=15.43 +2025-10-31 17:00:02,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=14.36, mean=-0.04731, std=3.074, absmax=14.36 +2025-10-31 17:00:02,959 ERROR: Encountered non-finite generator loss at iter 5314; skipping update. +2025-10-31 17:00:02,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:02,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:02,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:02,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:02,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.41, mean=-0.2051, std=2.856, absmax=13.25 +2025-10-31 17:00:02,968 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=9.302, mean=-0.1928, std=2.37, absmax=9.569 +2025-10-31 17:00:03,463 ERROR: Encountered non-finite generator loss at iter 5315; skipping update. +2025-10-31 17:00:03,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:03,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:03,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.98, mean=-0.1431, std=2.928, absmax=11.98 +2025-10-31 17:00:03,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.416, max=9.481, mean=-0.1404, std=2.467, absmax=9.481 +2025-10-31 17:00:03,962 ERROR: Encountered non-finite generator loss at iter 5316; skipping update. +2025-10-31 17:00:03,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:03,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:03,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:03,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:03,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=15.37, mean=-0.2113, std=3.419, absmax=15.37 +2025-10-31 17:00:03,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.69, mean=-0.1903, std=2.717, absmax=11.69 +2025-10-31 17:00:04,463 ERROR: Encountered non-finite generator loss at iter 5317; skipping update. +2025-10-31 17:00:04,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,470 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:04,471 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:04,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.32, mean=-0.1546, std=2.865, absmax=12.49 +2025-10-31 17:00:04,473 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=9.155, mean=-0.184, std=2.341, absmax=9.571 +2025-10-31 17:00:04,967 ERROR: Encountered non-finite generator loss at iter 5318; skipping update. +2025-10-31 17:00:04,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:04,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:04,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:04,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:04,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.23, mean=-0.1844, std=2.659, absmax=11.92 +2025-10-31 17:00:04,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.1, max=8.774, mean=-0.1858, std=2.345, absmax=9.1 +2025-10-31 17:00:05,468 ERROR: Encountered non-finite generator loss at iter 5319; skipping update. +2025-10-31 17:00:05,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:05,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:05,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.23, mean=-0.2773, std=2.902, absmax=12.25 +2025-10-31 17:00:05,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.606, mean=-0.2526, std=2.456, absmax=10.31 +2025-10-31 17:00:05,970 ERROR: Encountered non-finite generator loss at iter 5320; skipping update. +2025-10-31 17:00:05,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:05,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:05,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:05,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:05,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.05, mean=0.007973, std=2.757, absmax=13.05 +2025-10-31 17:00:05,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.063, max=10.31, mean=0.03292, std=2.47, absmax=10.31 +2025-10-31 17:00:06,469 ERROR: Encountered non-finite generator loss at iter 5321; skipping update. +2025-10-31 17:00:06,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:06,476 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:06,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=15.16, mean=-0.1499, std=3.064, absmax=15.16 +2025-10-31 17:00:06,478 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.42, max=12.8, mean=-0.1567, std=2.614, absmax=12.8 +2025-10-31 17:00:06,970 ERROR: Encountered non-finite generator loss at iter 5322; skipping update. +2025-10-31 17:00:06,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:06,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:06,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:06,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:06,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.97, mean=-0.1472, std=2.759, absmax=14.97 +2025-10-31 17:00:06,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=9.731, mean=-0.1591, std=2.347, absmax=10.61 +2025-10-31 17:00:07,472 ERROR: Encountered non-finite generator loss at iter 5323; skipping update. +2025-10-31 17:00:07,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:07,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:07,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.93, mean=-0.03817, std=3.009, absmax=13.93 +2025-10-31 17:00:07,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.398, max=9.289, mean=-0.04105, std=2.724, absmax=9.398 +2025-10-31 17:00:07,971 ERROR: Encountered non-finite generator loss at iter 5324; skipping update. +2025-10-31 17:00:07,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:07,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:07,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:07,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:07,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=9.981, mean=-0.1563, std=2.354, absmax=12.08 +2025-10-31 17:00:07,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.11, max=6.965, mean=-0.1312, std=2.062, absmax=9.11 +2025-10-31 17:00:08,473 ERROR: Encountered non-finite generator loss at iter 5325; skipping update. +2025-10-31 17:00:08,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:08,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:08,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.32, mean=-0.1444, std=2.961, absmax=12.59 +2025-10-31 17:00:08,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.345, mean=-0.1347, std=2.467, absmax=10 +2025-10-31 17:00:08,975 ERROR: Encountered non-finite generator loss at iter 5326; skipping update. +2025-10-31 17:00:08,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:08,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:08,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:08,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:08,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.67, mean=-0.2782, std=2.365, absmax=12.67 +2025-10-31 17:00:08,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.543, max=7.822, mean=-0.2464, std=2.09, absmax=8.543 +2025-10-31 17:00:09,476 ERROR: Encountered non-finite generator loss at iter 5327; skipping update. +2025-10-31 17:00:09,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:09,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:09,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=12.97, mean=-0.2786, std=3.002, absmax=14.45 +2025-10-31 17:00:09,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.28, mean=-0.3064, std=2.613, absmax=10.71 +2025-10-31 17:00:09,978 ERROR: Encountered non-finite generator loss at iter 5328; skipping update. +2025-10-31 17:00:09,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:09,982 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:09,983 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:09,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:09,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.28, mean=-0.08789, std=3.252, absmax=13.25 +2025-10-31 17:00:09,986 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.64, mean=-0.1182, std=2.616, absmax=11.64 +2025-10-31 17:00:10,480 ERROR: Encountered non-finite generator loss at iter 5329; skipping update. +2025-10-31 17:00:10,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:10,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:10,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.49, mean=-0.008261, std=3.486, absmax=14.49 +2025-10-31 17:00:10,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.9, mean=-0.02751, std=2.959, absmax=11.9 +2025-10-31 17:00:10,982 ERROR: Encountered non-finite generator loss at iter 5330; skipping update. +2025-10-31 17:00:10,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:10,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:10,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:10,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:10,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.39, mean=-0.1716, std=3.233, absmax=15.39 +2025-10-31 17:00:10,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=14.28, mean=-0.1663, std=2.835, absmax=14.28 +2025-10-31 17:00:11,485 ERROR: Encountered non-finite generator loss at iter 5331; skipping update. +2025-10-31 17:00:11,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:11,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:11,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.5, mean=-0.119, std=2.93, absmax=12.5 +2025-10-31 17:00:11,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.92, max=8.742, mean=-0.1209, std=2.212, absmax=8.92 +2025-10-31 17:00:11,987 ERROR: Encountered non-finite generator loss at iter 5332; skipping update. +2025-10-31 17:00:11,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:11,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:11,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:11,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:11,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=14.21, mean=-0.07177, std=3.607, absmax=16.52 +2025-10-31 17:00:11,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=11.39, mean=-0.06722, std=3.002, absmax=11.39 +2025-10-31 17:00:12,488 ERROR: Encountered non-finite generator loss at iter 5333; skipping update. +2025-10-31 17:00:12,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:12,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:12,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.73, mean=-0.07988, std=3.306, absmax=12.73 +2025-10-31 17:00:12,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.004, max=10.68, mean=-0.07604, std=2.725, absmax=10.68 +2025-10-31 17:00:12,989 ERROR: Encountered non-finite generator loss at iter 5334; skipping update. +2025-10-31 17:00:12,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:12,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:12,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:12,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:12,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.53, mean=-0.1185, std=2.997, absmax=13.53 +2025-10-31 17:00:12,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.44, mean=-0.08539, std=2.51, absmax=10.44 +2025-10-31 17:00:13,491 ERROR: Encountered non-finite generator loss at iter 5335; skipping update. +2025-10-31 17:00:13,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:13,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:13,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.57, mean=-0.01876, std=2.972, absmax=13.57 +2025-10-31 17:00:13,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=10.73, mean=0.005067, std=2.59, absmax=10.73 +2025-10-31 17:00:13,991 ERROR: Encountered non-finite generator loss at iter 5336; skipping update. +2025-10-31 17:00:13,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:13,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:13,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:13,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:13,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=14.71, mean=-0.05203, std=3.129, absmax=14.71 +2025-10-31 17:00:13,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.919, max=12.01, mean=-0.07929, std=2.53, absmax=12.01 +2025-10-31 17:00:14,491 ERROR: Encountered non-finite generator loss at iter 5337; skipping update. +2025-10-31 17:00:14,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:14,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:14,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=13.68, mean=-0.0795, std=2.919, absmax=13.68 +2025-10-31 17:00:14,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.201, max=9.922, mean=-0.1011, std=2.51, absmax=9.922 +2025-10-31 17:00:14,990 ERROR: Encountered non-finite generator loss at iter 5338; skipping update. +2025-10-31 17:00:14,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:14,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:14,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:14,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:14,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.21, mean=0.02666, std=3.525, absmax=14.21 +2025-10-31 17:00:14,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.8, mean=0.01077, std=2.92, absmax=11.8 +2025-10-31 17:00:15,490 ERROR: Encountered non-finite generator loss at iter 5339; skipping update. +2025-10-31 17:00:15,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:15,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:15,500 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,501 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:15,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:15,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:15,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.2, mean=0.07899, std=3.518, absmax=14.2 +2025-10-31 17:00:15,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.52, mean=0.03364, std=2.772, absmax=11.52 +2025-10-31 17:00:15,995 ERROR: Encountered non-finite generator loss at iter 5340; skipping update. +2025-10-31 17:00:15,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:15,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:15,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:15,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:16,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:16,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:16,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.07, mean=-0.2226, std=3.367, absmax=14.07 +2025-10-31 17:00:16,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=11.12, mean=-0.2216, std=2.757, absmax=11.12 +2025-10-31 17:00:16,495 ERROR: Encountered non-finite generator loss at iter 5341; skipping update. +2025-10-31 17:00:16,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:16,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:16,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:16,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:16,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:16,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:16,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:16,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:16,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=15.52, mean=-0.09414, std=3.259, absmax=15.52 +2025-10-31 17:00:16,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.64, mean=-0.09322, std=2.706, absmax=10.65 +2025-10-31 17:00:16,995 ERROR: Encountered non-finite generator loss at iter 5342; skipping update. +2025-10-31 17:00:16,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:16,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:16,999 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:17,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:17,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:17,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:17,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:17,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:17,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.31, mean=0.103, std=3.395, absmax=14.31 +2025-10-31 17:00:17,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.382, max=10.63, mean=0.03562, std=2.69, absmax=10.63 +2025-10-31 17:00:17,498 ERROR: Encountered non-finite generator loss at iter 5343; skipping update. +2025-10-31 17:00:17,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:17,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:17,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:17,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:17,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:17,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:17,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:17,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:17,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=14.23, mean=-0.1648, std=3.134, absmax=14.52 +2025-10-31 17:00:17,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.527, max=11.15, mean=-0.1371, std=2.55, absmax=11.15 +2025-10-31 17:00:17,999 ERROR: Encountered non-finite generator loss at iter 5344; skipping update. +2025-10-31 17:00:18,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:18,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:18,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=16.35, mean=0.02151, std=3.263, absmax=16.35 +2025-10-31 17:00:18,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=12.19, mean=0.02227, std=2.726, absmax=12.19 +2025-10-31 17:00:18,501 ERROR: Encountered non-finite generator loss at iter 5345; skipping update. +2025-10-31 17:00:18,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:18,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:18,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:18,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:18,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.7, mean=-0.1353, std=2.653, absmax=12.7 +2025-10-31 17:00:18,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.782, max=7.524, mean=-0.1511, std=2.11, absmax=8.782 +2025-10-31 17:00:18,999 ERROR: Encountered non-finite generator loss at iter 5346; skipping update. +2025-10-31 17:00:19,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:19,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:19,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.81, mean=-0.1964, std=2.639, absmax=12.81 +2025-10-31 17:00:19,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.596, max=10.08, mean=-0.2378, std=2.344, absmax=10.08 +2025-10-31 17:00:19,500 ERROR: Encountered non-finite generator loss at iter 5347; skipping update. +2025-10-31 17:00:19,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:19,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:19,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:19,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:19,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.22, mean=-0.1708, std=3.255, absmax=14.22 +2025-10-31 17:00:19,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.115, mean=-0.1868, std=2.594, absmax=11.17 +2025-10-31 17:00:20,000 ERROR: Encountered non-finite generator loss at iter 5348; skipping update. +2025-10-31 17:00:20,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:20,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:20,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.14, mean=-0.06967, std=3.751, absmax=14.27 +2025-10-31 17:00:20,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.23, mean=-0.07056, std=3.144, absmax=11.23 +2025-10-31 17:00:20,501 ERROR: Encountered non-finite generator loss at iter 5349; skipping update. +2025-10-31 17:00:20,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:20,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:20,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:20,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:20,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.26, mean=-0.08621, std=2.896, absmax=12.58 +2025-10-31 17:00:20,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.431, max=9.803, mean=-0.06435, std=2.437, absmax=9.803 +2025-10-31 17:00:21,002 ERROR: Encountered non-finite generator loss at iter 5350; skipping update. +2025-10-31 17:00:21,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,005 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:21,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:21,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=17.76, mean=-0.2006, std=3.167, absmax=17.76 +2025-10-31 17:00:21,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.092, max=10.56, mean=-0.1969, std=2.517, absmax=10.56 +2025-10-31 17:00:21,503 ERROR: Encountered non-finite generator loss at iter 5351; skipping update. +2025-10-31 17:00:21,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:21,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:21,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:21,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:21,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.78, mean=-0.3185, std=2.894, absmax=12.28 +2025-10-31 17:00:21,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.569, mean=-0.2649, std=2.403, absmax=10.69 +2025-10-31 17:00:22,003 ERROR: Encountered non-finite generator loss at iter 5352; skipping update. +2025-10-31 17:00:22,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:22,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:22,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=18.44, mean=-0.1442, std=3.257, absmax=18.44 +2025-10-31 17:00:22,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=14.65, mean=-0.09864, std=2.727, absmax=14.65 +2025-10-31 17:00:22,504 ERROR: Encountered non-finite generator loss at iter 5353; skipping update. +2025-10-31 17:00:22,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:22,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:22,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:22,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:22,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.46, mean=-0.2246, std=3.684, absmax=13.46 +2025-10-31 17:00:22,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=12.6, mean=-0.2105, std=3.19, absmax=12.6 +2025-10-31 17:00:23,001 ERROR: Encountered non-finite generator loss at iter 5354; skipping update. +2025-10-31 17:00:23,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:23,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:23,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=11.32, mean=-0.2895, std=3.749, absmax=15.33 +2025-10-31 17:00:23,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.51, max=10.41, mean=-0.2894, std=3.411, absmax=13.51 +2025-10-31 17:00:23,507 ERROR: Encountered non-finite generator loss at iter 5355; skipping update. +2025-10-31 17:00:23,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:23,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:23,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:23,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:23,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.09, mean=-0.2643, std=2.452, absmax=14.09 +2025-10-31 17:00:23,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.344, max=8.286, mean=-0.2112, std=2.138, absmax=8.344 +2025-10-31 17:00:24,008 ERROR: Encountered non-finite generator loss at iter 5356; skipping update. +2025-10-31 17:00:24,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:24,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:24,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=15.46, mean=0.06914, std=3.364, absmax=15.46 +2025-10-31 17:00:24,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=13.37, mean=0.03763, std=2.89, absmax=13.37 +2025-10-31 17:00:24,507 ERROR: Encountered non-finite generator loss at iter 5357; skipping update. +2025-10-31 17:00:24,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:24,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:24,513 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:24,514 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:24,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.69, mean=-0.06682, std=3.368, absmax=12.69 +2025-10-31 17:00:24,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.469, max=10.34, mean=-0.06547, std=2.659, absmax=10.34 +2025-10-31 17:00:25,008 ERROR: Encountered non-finite generator loss at iter 5358; skipping update. +2025-10-31 17:00:25,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:25,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:25,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.34, mean=-0.2982, std=2.748, absmax=14.34 +2025-10-31 17:00:25,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.473, mean=-0.3118, std=2.253, absmax=10.34 +2025-10-31 17:00:25,508 ERROR: Encountered non-finite generator loss at iter 5359; skipping update. +2025-10-31 17:00:25,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:25,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:25,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:25,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:25,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.9, mean=-0.3091, std=2.923, absmax=13.35 +2025-10-31 17:00:25,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=8.412, mean=-0.2197, std=2.584, absmax=11.95 +2025-10-31 17:00:26,008 ERROR: Encountered non-finite generator loss at iter 5360; skipping update. +2025-10-31 17:00:26,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:26,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:26,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.77, mean=-0.3179, std=2.918, absmax=13.56 +2025-10-31 17:00:26,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.523, mean=-0.2739, std=2.403, absmax=10.67 +2025-10-31 17:00:26,508 ERROR: Encountered non-finite generator loss at iter 5361; skipping update. +2025-10-31 17:00:26,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,512 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:26,514 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:26,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:26,516 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:26,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=14.02, mean=-0.3241, std=3.675, absmax=14.93 +2025-10-31 17:00:26,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=14.27, mean=-0.3427, std=3.18, absmax=14.27 +2025-10-31 17:00:27,008 ERROR: Encountered non-finite generator loss at iter 5362; skipping update. +2025-10-31 17:00:27,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:27,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:27,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.03, mean=0.1117, std=3.258, absmax=14.03 +2025-10-31 17:00:27,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.949, max=11.32, mean=0.08589, std=2.724, absmax=11.32 +2025-10-31 17:00:27,508 ERROR: Encountered non-finite generator loss at iter 5363; skipping update. +2025-10-31 17:00:27,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:27,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:27,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:27,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:27,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.66, mean=-0.2185, std=2.625, absmax=13.96 +2025-10-31 17:00:27,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.515, max=8.374, mean=-0.2449, std=2.432, absmax=9.515 +2025-10-31 17:00:28,007 ERROR: Encountered non-finite generator loss at iter 5364; skipping update. +2025-10-31 17:00:28,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:28,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:28,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.05, mean=-0.2951, std=2.979, absmax=12.41 +2025-10-31 17:00:28,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=7.637, mean=-0.2908, std=2.418, absmax=9.927 +2025-10-31 17:00:28,509 ERROR: Encountered non-finite generator loss at iter 5365; skipping update. +2025-10-31 17:00:28,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:28,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:28,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:28,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:28,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.89, mean=-0.1383, std=2.802, absmax=11.94 +2025-10-31 17:00:28,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.602, max=9.794, mean=-0.1478, std=2.373, absmax=9.794 +2025-10-31 17:00:29,012 ERROR: Encountered non-finite generator loss at iter 5366; skipping update. +2025-10-31 17:00:29,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,014 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,016 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,018 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:29,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:29,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=12.46, mean=-0.1394, std=3.388, absmax=14.47 +2025-10-31 17:00:29,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=9.291, mean=-0.1596, std=2.882, absmax=11.98 +2025-10-31 17:00:29,514 ERROR: Encountered non-finite generator loss at iter 5367; skipping update. +2025-10-31 17:00:29,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:29,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:29,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:29,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:29,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.04, mean=-0.1245, std=2.878, absmax=12.82 +2025-10-31 17:00:29,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.35, mean=-0.2009, std=2.506, absmax=10.47 +2025-10-31 17:00:30,015 ERROR: Encountered non-finite generator loss at iter 5368; skipping update. +2025-10-31 17:00:30,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,021 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:30,023 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:30,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=16.43, mean=0.2842, std=3.436, absmax=16.43 +2025-10-31 17:00:30,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=11.6, mean=0.1961, std=2.694, absmax=11.6 +2025-10-31 17:00:30,519 ERROR: Encountered non-finite generator loss at iter 5369; skipping update. +2025-10-31 17:00:30,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:30,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:30,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:30,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:30,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.86, mean=-0.03123, std=2.978, absmax=12.76 +2025-10-31 17:00:30,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.243, mean=-0.008374, std=2.642, absmax=10.36 +2025-10-31 17:00:31,020 ERROR: Encountered non-finite generator loss at iter 5370; skipping update. +2025-10-31 17:00:31,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:31,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:31,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.62, mean=-0.1127, std=3.186, absmax=13.29 +2025-10-31 17:00:31,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.409, mean=-0.1387, std=2.639, absmax=11.38 +2025-10-31 17:00:31,523 ERROR: Encountered non-finite generator loss at iter 5371; skipping update. +2025-10-31 17:00:31,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:31,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:31,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:31,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:31,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=17.02, mean=0.0848, std=3.285, absmax=17.02 +2025-10-31 17:00:31,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=13.78, mean=0.04704, std=2.829, absmax=13.78 +2025-10-31 17:00:32,024 ERROR: Encountered non-finite generator loss at iter 5372; skipping update. +2025-10-31 17:00:32,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:32,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:32,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.8, mean=-0.1538, std=2.489, absmax=11.8 +2025-10-31 17:00:32,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.28, max=7.354, mean=-0.2006, std=2.002, absmax=8.28 +2025-10-31 17:00:32,527 ERROR: Encountered non-finite generator loss at iter 5373; skipping update. +2025-10-31 17:00:32,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:32,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:32,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:32,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:32,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=14.89, mean=-0.2053, std=2.421, absmax=15.07 +2025-10-31 17:00:32,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=7.249, mean=-0.2698, std=2.032, absmax=10.36 +2025-10-31 17:00:33,030 ERROR: Encountered non-finite generator loss at iter 5374; skipping update. +2025-10-31 17:00:33,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,033 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,034 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,035 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,036 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:33,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:33,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=15.89, mean=-0.03737, std=2.928, absmax=15.89 +2025-10-31 17:00:33,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.302, max=9.645, mean=-0.08308, std=2.486, absmax=9.645 +2025-10-31 17:00:33,533 ERROR: Encountered non-finite generator loss at iter 5375; skipping update. +2025-10-31 17:00:33,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:33,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:33,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:33,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:33,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.24, mean=-0.09316, std=2.816, absmax=15.24 +2025-10-31 17:00:33,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.201, max=10.27, mean=-0.14, std=2.242, absmax=10.27 +2025-10-31 17:00:34,033 ERROR: Encountered non-finite generator loss at iter 5376; skipping update. +2025-10-31 17:00:34,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:34,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:34,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12.94, mean=-0.2988, std=3.38, absmax=14.11 +2025-10-31 17:00:34,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.462, mean=-0.3203, std=2.82, absmax=11.19 +2025-10-31 17:00:34,535 ERROR: Encountered non-finite generator loss at iter 5377; skipping update. +2025-10-31 17:00:34,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,540 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:34,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:34,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:34,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:34,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=17.22, mean=0.02769, std=3.104, absmax=17.22 +2025-10-31 17:00:34,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.23, mean=-0.02269, std=2.438, absmax=10.26 +2025-10-31 17:00:35,037 ERROR: Encountered non-finite generator loss at iter 5378; skipping update. +2025-10-31 17:00:35,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,043 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,044 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:35,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:35,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=10.93, mean=-0.1553, std=2.864, absmax=11.07 +2025-10-31 17:00:35,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.771, max=8.782, mean=-0.08959, std=2.43, absmax=8.782 +2025-10-31 17:00:35,540 ERROR: Encountered non-finite generator loss at iter 5379; skipping update. +2025-10-31 17:00:35,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:35,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:35,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:35,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:35,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.44, mean=-0.3483, std=2.939, absmax=13.5 +2025-10-31 17:00:35,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.94, max=9.487, mean=-0.3257, std=2.466, absmax=12.94 +2025-10-31 17:00:36,043 ERROR: Encountered non-finite generator loss at iter 5380; skipping update. +2025-10-31 17:00:36,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:36,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:36,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.81, mean=-0.1827, std=2.917, absmax=12.2 +2025-10-31 17:00:36,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.004, mean=-0.1787, std=2.427, absmax=10.16 +2025-10-31 17:00:36,546 ERROR: Encountered non-finite generator loss at iter 5381; skipping update. +2025-10-31 17:00:36,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:36,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:36,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:36,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:36,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.53, mean=-0.2344, std=2.558, absmax=14.53 +2025-10-31 17:00:36,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=10, mean=-0.2319, std=2.098, absmax=10.56 +2025-10-31 17:00:37,046 ERROR: Encountered non-finite generator loss at iter 5382; skipping update. +2025-10-31 17:00:37,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:37,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:37,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.38, mean=-0.1623, std=2.481, absmax=14.38 +2025-10-31 17:00:37,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.808, max=8.623, mean=-0.1298, std=2.1, absmax=9.808 +2025-10-31 17:00:37,549 ERROR: Encountered non-finite generator loss at iter 5383; skipping update. +2025-10-31 17:00:37,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:37,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:37,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:37,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:37,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=10.99, mean=-0.2088, std=2.682, absmax=13.17 +2025-10-31 17:00:37,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=9.365, mean=-0.1923, std=2.306, absmax=11.04 +2025-10-31 17:00:38,051 ERROR: Encountered non-finite generator loss at iter 5384; skipping update. +2025-10-31 17:00:38,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:38,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:38,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.03, mean=-0.1082, std=2.915, absmax=12.52 +2025-10-31 17:00:38,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.309, mean=-0.1375, std=2.357, absmax=10.36 +2025-10-31 17:00:38,553 ERROR: Encountered non-finite generator loss at iter 5385; skipping update. +2025-10-31 17:00:38,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:38,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:38,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:38,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:38,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=13.58, mean=-0.185, std=3.098, absmax=15.13 +2025-10-31 17:00:38,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=10.08, mean=-0.214, std=2.535, absmax=10.48 +2025-10-31 17:00:39,055 ERROR: Encountered non-finite generator loss at iter 5386; skipping update. +2025-10-31 17:00:39,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:39,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:39,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=10.14, mean=-0.2838, std=3.105, absmax=12.72 +2025-10-31 17:00:39,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=8.807, mean=-0.2667, std=2.688, absmax=11.22 +2025-10-31 17:00:39,559 ERROR: Encountered non-finite generator loss at iter 5387; skipping update. +2025-10-31 17:00:39,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:39,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:39,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:39,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:39,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.96, max=15.2, mean=-0.3043, std=3.302, absmax=17.96 +2025-10-31 17:00:39,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.55, max=12.56, mean=-0.3113, std=2.674, absmax=14.55 +2025-10-31 17:00:40,062 ERROR: Encountered non-finite generator loss at iter 5388; skipping update. +2025-10-31 17:00:40,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:40,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:40,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.72, mean=-0.3496, std=2.739, absmax=14.64 +2025-10-31 17:00:40,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.901, max=9.295, mean=-0.3076, std=2.326, absmax=9.901 +2025-10-31 17:00:40,564 ERROR: Encountered non-finite generator loss at iter 5389; skipping update. +2025-10-31 17:00:40,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:40,571 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:40,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:40,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:40,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=10.9, mean=-0.171, std=2.764, absmax=13.72 +2025-10-31 17:00:40,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=8.916, mean=-0.1902, std=2.551, absmax=10.94 +2025-10-31 17:00:41,067 ERROR: Encountered non-finite generator loss at iter 5390; skipping update. +2025-10-31 17:00:41,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:41,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:41,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.92, mean=-0.2629, std=3.174, absmax=13.5 +2025-10-31 17:00:41,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=12.4, mean=-0.2686, std=2.778, absmax=12.4 +2025-10-31 17:00:41,568 ERROR: Encountered non-finite generator loss at iter 5391; skipping update. +2025-10-31 17:00:41,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:41,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:41,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:41,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:41,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.3, mean=-0.2045, std=2.992, absmax=13.3 +2025-10-31 17:00:41,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.09, mean=-0.2293, std=2.425, absmax=10.24 +2025-10-31 17:00:42,071 ERROR: Encountered non-finite generator loss at iter 5392; skipping update. +2025-10-31 17:00:42,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,075 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:42,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:42,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.75, mean=-0.1954, std=2.899, absmax=12.75 +2025-10-31 17:00:42,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.866, max=9.067, mean=-0.1946, std=2.229, absmax=9.067 +2025-10-31 17:00:42,574 ERROR: Encountered non-finite generator loss at iter 5393; skipping update. +2025-10-31 17:00:42,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:42,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:42,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:42,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:42,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=10.42, mean=-0.1873, std=2.668, absmax=10.53 +2025-10-31 17:00:42,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=9.414, mean=-0.1887, std=2.355, absmax=9.584 +2025-10-31 17:00:43,077 ERROR: Encountered non-finite generator loss at iter 5394; skipping update. +2025-10-31 17:00:43,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:43,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:43,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=11.29, mean=-0.193, std=2.512, absmax=11.29 +2025-10-31 17:00:43,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.76, max=9.011, mean=-0.1929, std=2.131, absmax=9.011 +2025-10-31 17:00:43,580 ERROR: Encountered non-finite generator loss at iter 5395; skipping update. +2025-10-31 17:00:43,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:43,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:43,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:43,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:43,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=10.78, mean=-0.1777, std=2.69, absmax=12.66 +2025-10-31 17:00:43,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.141, max=9.347, mean=-0.1476, std=2.31, absmax=9.347 +2025-10-31 17:00:44,081 ERROR: Encountered non-finite generator loss at iter 5396; skipping update. +2025-10-31 17:00:44,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,084 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:44,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:44,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.57, mean=-0.1484, std=2.836, absmax=12.25 +2025-10-31 17:00:44,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=8.816, mean=-0.1113, std=2.337, absmax=11.09 +2025-10-31 17:00:44,583 ERROR: Encountered non-finite generator loss at iter 5397; skipping update. +2025-10-31 17:00:44,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:44,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:44,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:44,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:44,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=10.53, mean=-0.1589, std=2.569, absmax=11.45 +2025-10-31 17:00:44,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.155, max=11.3, mean=-0.1156, std=2.4, absmax=11.3 +2025-10-31 17:00:45,084 ERROR: Encountered non-finite generator loss at iter 5398; skipping update. +2025-10-31 17:00:45,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:45,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:45,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.12, mean=-0.1607, std=3.556, absmax=14.32 +2025-10-31 17:00:45,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=10.59, mean=-0.1576, std=2.952, absmax=12.44 +2025-10-31 17:00:45,585 ERROR: Encountered non-finite generator loss at iter 5399; skipping update. +2025-10-31 17:00:45,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:45,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:45,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:45,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:45,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.86, mean=-0.1441, std=2.849, absmax=13.86 +2025-10-31 17:00:45,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=10.31, mean=-0.1611, std=2.395, absmax=11.2 +2025-10-31 17:00:46,087 ERROR: Encountered non-finite generator loss at iter 5400; skipping update. +2025-10-31 17:00:46,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:46,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:46,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=10.33, mean=-0.2587, std=2.864, absmax=13.23 +2025-10-31 17:00:46,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=8.869, mean=-0.2657, std=2.477, absmax=11.67 +2025-10-31 17:00:46,098 INFO: [29..][epoch: 0, step: 5,400, lr:(1.500e-04,)] [eta: 1 day, 18:50:19, time (data): 0.503 (0.000)] +2025-10-31 17:00:46,589 ERROR: Encountered non-finite generator loss at iter 5401; skipping update. +2025-10-31 17:00:46,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:46,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:46,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:46,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:46,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=14.04, mean=-0.2542, std=2.722, absmax=15.31 +2025-10-31 17:00:46,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.171, mean=-0.2443, std=2.293, absmax=10 +2025-10-31 17:00:47,091 ERROR: Encountered non-finite generator loss at iter 5402; skipping update. +2025-10-31 17:00:47,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:47,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:47,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.83, max=12.96, mean=-0.2711, std=2.858, absmax=17.83 +2025-10-31 17:00:47,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.21, mean=-0.2905, std=2.324, absmax=10.95 +2025-10-31 17:00:47,592 ERROR: Encountered non-finite generator loss at iter 5403; skipping update. +2025-10-31 17:00:47,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:47,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:47,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:47,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:47,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.84, mean=-0.1802, std=3.073, absmax=12.84 +2025-10-31 17:00:47,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.05, mean=-0.2018, std=2.54, absmax=10.23 +2025-10-31 17:00:48,092 ERROR: Encountered non-finite generator loss at iter 5404; skipping update. +2025-10-31 17:00:48,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:48,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:48,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=16.12, mean=-0.1276, std=3.283, absmax=16.12 +2025-10-31 17:00:48,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=12.18, mean=-0.05451, std=2.608, absmax=12.18 +2025-10-31 17:00:48,601 ERROR: Encountered non-finite generator loss at iter 5405; skipping update. +2025-10-31 17:00:48,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:48,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:48,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:48,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:48,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.51, mean=0.01207, std=3.088, absmax=14.51 +2025-10-31 17:00:48,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=11.08, mean=-0.03147, std=2.493, absmax=11.26 +2025-10-31 17:00:49,102 ERROR: Encountered non-finite generator loss at iter 5406; skipping update. +2025-10-31 17:00:49,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:49,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:49,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=13.79, mean=-0.1638, std=3.353, absmax=14.93 +2025-10-31 17:00:49,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=10.53, mean=-0.1918, std=2.635, absmax=10.81 +2025-10-31 17:00:49,610 ERROR: Encountered non-finite generator loss at iter 5407; skipping update. +2025-10-31 17:00:49,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:49,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:49,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:49,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:49,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.33, mean=-0.2355, std=2.948, absmax=11.92 +2025-10-31 17:00:49,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.328, max=7.724, mean=-0.2316, std=2.388, absmax=9.328 +2025-10-31 17:00:50,111 ERROR: Encountered non-finite generator loss at iter 5408; skipping update. +2025-10-31 17:00:50,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:50,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:50,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.08, mean=-0.2229, std=2.635, absmax=12.22 +2025-10-31 17:00:50,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.809, max=8.228, mean=-0.2144, std=2.158, absmax=8.809 +2025-10-31 17:00:50,613 ERROR: Encountered non-finite generator loss at iter 5409; skipping update. +2025-10-31 17:00:50,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:50,619 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:50,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:50,621 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:50,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.81, mean=-0.1159, std=3.249, absmax=13.46 +2025-10-31 17:00:50,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.082, mean=-0.09486, std=2.607, absmax=10.16 +2025-10-31 17:00:51,113 ERROR: Encountered non-finite generator loss at iter 5410; skipping update. +2025-10-31 17:00:51,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:51,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:51,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.4, mean=0.07021, std=3.176, absmax=13.54 +2025-10-31 17:00:51,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=11.54, mean=0.01985, std=2.602, absmax=12.23 +2025-10-31 17:00:51,615 ERROR: Encountered non-finite generator loss at iter 5411; skipping update. +2025-10-31 17:00:51,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:51,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:51,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:51,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:51,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.91, mean=-0.06761, std=3.085, absmax=14.91 +2025-10-31 17:00:51,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=10.07, mean=-0.124, std=2.458, absmax=10.51 +2025-10-31 17:00:52,119 ERROR: Encountered non-finite generator loss at iter 5412; skipping update. +2025-10-31 17:00:52,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:52,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:52,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=14.44, mean=-0.06554, std=3.156, absmax=14.44 +2025-10-31 17:00:52,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=13.12, mean=-0.06846, std=2.629, absmax=13.12 +2025-10-31 17:00:52,621 ERROR: Encountered non-finite generator loss at iter 5413; skipping update. +2025-10-31 17:00:52,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:52,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:52,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:52,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:52,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.39, mean=-0.1225, std=2.695, absmax=13.39 +2025-10-31 17:00:52,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=9.45, mean=-0.1362, std=2.264, absmax=10.24 +2025-10-31 17:00:53,123 ERROR: Encountered non-finite generator loss at iter 5414; skipping update. +2025-10-31 17:00:53,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:53,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:53,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.47, mean=-0.003413, std=3.441, absmax=15.47 +2025-10-31 17:00:53,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=11.91, mean=-0.01085, std=2.852, absmax=11.91 +2025-10-31 17:00:53,625 ERROR: Encountered non-finite generator loss at iter 5415; skipping update. +2025-10-31 17:00:53,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:53,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:53,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:53,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:53,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.53, mean=-0.04645, std=2.621, absmax=12.59 +2025-10-31 17:00:53,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.985, mean=-0.04497, std=2.443, absmax=10.77 +2025-10-31 17:00:54,127 ERROR: Encountered non-finite generator loss at iter 5416; skipping update. +2025-10-31 17:00:54,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:54,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:54,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.89, mean=-0.2482, std=2.919, absmax=13.89 +2025-10-31 17:00:54,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.747, max=9.817, mean=-0.2483, std=2.379, absmax=9.817 +2025-10-31 17:00:54,627 ERROR: Encountered non-finite generator loss at iter 5417; skipping update. +2025-10-31 17:00:54,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:54,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:54,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:54,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:54,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.18, mean=-0.2164, std=2.274, absmax=12.12 +2025-10-31 17:00:54,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.967, max=6.859, mean=-0.2117, std=1.928, absmax=8.967 +2025-10-31 17:00:55,129 ERROR: Encountered non-finite generator loss at iter 5418; skipping update. +2025-10-31 17:00:55,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:55,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:55,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.89, mean=-0.1642, std=3.354, absmax=13.89 +2025-10-31 17:00:55,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.89, mean=-0.1262, std=2.801, absmax=10.89 +2025-10-31 17:00:55,630 ERROR: Encountered non-finite generator loss at iter 5419; skipping update. +2025-10-31 17:00:55,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:55,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:55,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:55,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:55,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=13.58, mean=-0.1796, std=2.889, absmax=16.16 +2025-10-31 17:00:55,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.53, mean=-0.1558, std=2.367, absmax=10.53 +2025-10-31 17:00:56,133 ERROR: Encountered non-finite generator loss at iter 5420; skipping update. +2025-10-31 17:00:56,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:56,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:56,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.52, mean=-0.1097, std=3.313, absmax=12.52 +2025-10-31 17:00:56,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.848, max=10.48, mean=-0.1408, std=2.625, absmax=10.48 +2025-10-31 17:00:56,635 ERROR: Encountered non-finite generator loss at iter 5421; skipping update. +2025-10-31 17:00:56,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:56,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:56,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:56,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:56,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.29, mean=-0.3226, std=3.119, absmax=13.29 +2025-10-31 17:00:56,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=8.065, mean=-0.2801, std=2.484, absmax=11.21 +2025-10-31 17:00:57,139 ERROR: Encountered non-finite generator loss at iter 5422; skipping update. +2025-10-31 17:00:57,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:57,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:57,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.58, mean=-0.1491, std=2.798, absmax=13.58 +2025-10-31 17:00:57,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=9.083, mean=-0.2092, std=2.386, absmax=10.55 +2025-10-31 17:00:57,643 ERROR: Encountered non-finite generator loss at iter 5423; skipping update. +2025-10-31 17:00:57,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:57,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:57,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:57,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:57,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=10.61, mean=-0.2179, std=3.073, absmax=12.51 +2025-10-31 17:00:57,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.059, max=8.762, mean=-0.2039, std=2.473, absmax=9.059 +2025-10-31 17:00:58,146 ERROR: Encountered non-finite generator loss at iter 5424; skipping update. +2025-10-31 17:00:58,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:58,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:58,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.71, mean=-0.2189, std=3.124, absmax=12.76 +2025-10-31 17:00:58,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.44, mean=-0.2305, std=2.695, absmax=11.18 +2025-10-31 17:00:58,650 ERROR: Encountered non-finite generator loss at iter 5425; skipping update. +2025-10-31 17:00:58,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:58,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:58,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:58,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:58,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=12.59, mean=-0.2817, std=3.386, absmax=14.41 +2025-10-31 17:00:58,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.93, max=10.87, mean=-0.2166, std=2.846, absmax=12.93 +2025-10-31 17:00:59,151 ERROR: Encountered non-finite generator loss at iter 5426; skipping update. +2025-10-31 17:00:59,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:59,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:59,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.78, mean=-0.03317, std=3.495, absmax=14.15 +2025-10-31 17:00:59,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.993, max=10.22, mean=-0.04995, std=2.733, absmax=10.22 +2025-10-31 17:00:59,655 ERROR: Encountered non-finite generator loss at iter 5427; skipping update. +2025-10-31 17:00:59,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:00:59,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:00:59,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:00:59,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:00:59,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.46, mean=-0.2928, std=2.498, absmax=11.67 +2025-10-31 17:00:59,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.94, max=8.942, mean=-0.2862, std=2.088, absmax=8.942 +2025-10-31 17:01:00,158 ERROR: Encountered non-finite generator loss at iter 5428; skipping update. +2025-10-31 17:01:00,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:00,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:00,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=16.25, mean=-0.2152, std=2.813, absmax=16.25 +2025-10-31 17:01:00,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=7.93, mean=-0.2196, std=2.305, absmax=10.42 +2025-10-31 17:01:00,660 ERROR: Encountered non-finite generator loss at iter 5429; skipping update. +2025-10-31 17:01:00,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:00,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:00,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:00,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:00,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=18.21, mean=-0.07033, std=3.801, absmax=18.21 +2025-10-31 17:01:00,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.48, max=10.64, mean=-0.02635, std=3.329, absmax=13.48 +2025-10-31 17:01:01,163 ERROR: Encountered non-finite generator loss at iter 5430; skipping update. +2025-10-31 17:01:01,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:01,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:01,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=10.5, mean=-0.3146, std=3.081, absmax=12.07 +2025-10-31 17:01:01,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.354, max=7.493, mean=-0.3304, std=2.621, absmax=9.354 +2025-10-31 17:01:01,667 ERROR: Encountered non-finite generator loss at iter 5431; skipping update. +2025-10-31 17:01:01,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:01,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:01,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:01,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:01,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=9.972, mean=-0.3054, std=2.313, absmax=10.36 +2025-10-31 17:01:01,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.588, max=9.09, mean=-0.3134, std=2.077, absmax=9.588 +2025-10-31 17:01:02,169 ERROR: Encountered non-finite generator loss at iter 5432; skipping update. +2025-10-31 17:01:02,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:02,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:02,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.14, mean=-0.2905, std=2.934, absmax=13.27 +2025-10-31 17:01:02,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=8.298, mean=-0.3251, std=2.57, absmax=11.46 +2025-10-31 17:01:02,672 ERROR: Encountered non-finite generator loss at iter 5433; skipping update. +2025-10-31 17:01:02,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:02,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:02,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:02,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:02,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.04, mean=-0.1736, std=2.79, absmax=14.04 +2025-10-31 17:01:02,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.432, max=11.52, mean=-0.2137, std=2.372, absmax=11.52 +2025-10-31 17:01:03,173 ERROR: Encountered non-finite generator loss at iter 5434; skipping update. +2025-10-31 17:01:03,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:03,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:03,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.23, mean=-0.09714, std=2.836, absmax=13.8 +2025-10-31 17:01:03,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.322, mean=-0.1536, std=2.27, absmax=10.17 +2025-10-31 17:01:03,677 ERROR: Encountered non-finite generator loss at iter 5435; skipping update. +2025-10-31 17:01:03,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:03,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:03,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:03,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:03,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.12, mean=-0.1431, std=2.903, absmax=14.12 +2025-10-31 17:01:03,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.047, max=9.294, mean=-0.1213, std=2.428, absmax=9.294 +2025-10-31 17:01:04,180 ERROR: Encountered non-finite generator loss at iter 5436; skipping update. +2025-10-31 17:01:04,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:04,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:04,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.17, mean=-0.334, std=3.02, absmax=14.28 +2025-10-31 17:01:04,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=7.847, mean=-0.2959, std=2.442, absmax=11.13 +2025-10-31 17:01:04,683 ERROR: Encountered non-finite generator loss at iter 5437; skipping update. +2025-10-31 17:01:04,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,685 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:04,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:04,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:04,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:04,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.07, mean=-0.1627, std=2.813, absmax=13.07 +2025-10-31 17:01:04,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.834, max=10.83, mean=-0.1646, std=2.408, absmax=10.83 +2025-10-31 17:01:05,185 ERROR: Encountered non-finite generator loss at iter 5438; skipping update. +2025-10-31 17:01:05,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:05,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:05,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=14.65, mean=0.2181, std=3.866, absmax=14.65 +2025-10-31 17:01:05,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=12.15, mean=0.159, std=3.082, absmax=12.15 +2025-10-31 17:01:05,688 ERROR: Encountered non-finite generator loss at iter 5439; skipping update. +2025-10-31 17:01:05,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:05,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:05,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:05,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:05,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.45, mean=-0.04022, std=3.044, absmax=14.63 +2025-10-31 17:01:05,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=9.318, mean=-0.07331, std=2.459, absmax=9.376 +2025-10-31 17:01:06,190 ERROR: Encountered non-finite generator loss at iter 5440; skipping update. +2025-10-31 17:01:06,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:06,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:06,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=11.38, mean=-0.09439, std=2.858, absmax=11.38 +2025-10-31 17:01:06,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.053, max=10.66, mean=-0.1045, std=2.422, absmax=10.66 +2025-10-31 17:01:06,692 ERROR: Encountered non-finite generator loss at iter 5441; skipping update. +2025-10-31 17:01:06,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:06,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:06,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:06,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:06,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.6, mean=-0.1241, std=2.78, absmax=12.22 +2025-10-31 17:01:06,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=8.014, mean=-0.08892, std=2.323, absmax=9.16 +2025-10-31 17:01:07,193 ERROR: Encountered non-finite generator loss at iter 5442; skipping update. +2025-10-31 17:01:07,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:07,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:07,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.92, mean=-0.183, std=3.319, absmax=15.92 +2025-10-31 17:01:07,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=10.7, mean=-0.2313, std=2.772, absmax=12.2 +2025-10-31 17:01:07,696 ERROR: Encountered non-finite generator loss at iter 5443; skipping update. +2025-10-31 17:01:07,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:07,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:07,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:07,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:07,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.65, mean=-0.202, std=2.883, absmax=12.93 +2025-10-31 17:01:07,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.289, mean=-0.1782, std=2.444, absmax=10.93 +2025-10-31 17:01:08,199 ERROR: Encountered non-finite generator loss at iter 5444; skipping update. +2025-10-31 17:01:08,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:08,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:08,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.22, mean=-0.1989, std=2.903, absmax=13.22 +2025-10-31 17:01:08,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=8.343, mean=-0.2672, std=2.498, absmax=11.45 +2025-10-31 17:01:08,703 ERROR: Encountered non-finite generator loss at iter 5445; skipping update. +2025-10-31 17:01:08,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:08,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:08,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:08,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:08,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.81, mean=-0.1381, std=2.656, absmax=12.81 +2025-10-31 17:01:08,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.349, max=9.921, mean=-0.1471, std=2.246, absmax=9.921 +2025-10-31 17:01:09,204 ERROR: Encountered non-finite generator loss at iter 5446; skipping update. +2025-10-31 17:01:09,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:09,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:09,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=12.19, mean=-0.3554, std=3.132, absmax=15.13 +2025-10-31 17:01:09,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=11.22, mean=-0.3153, std=2.577, absmax=12.35 +2025-10-31 17:01:09,707 ERROR: Encountered non-finite generator loss at iter 5447; skipping update. +2025-10-31 17:01:09,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,711 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:09,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:09,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:09,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:09,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.8, mean=-0.1827, std=3.231, absmax=13.8 +2025-10-31 17:01:09,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=12.45, mean=-0.1921, std=3.053, absmax=12.45 +2025-10-31 17:01:10,211 ERROR: Encountered non-finite generator loss at iter 5448; skipping update. +2025-10-31 17:01:10,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:10,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:10,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.08, mean=-0.3786, std=2.97, absmax=14.08 +2025-10-31 17:01:10,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.914, max=8.397, mean=-0.3187, std=2.495, absmax=9.914 +2025-10-31 17:01:10,715 ERROR: Encountered non-finite generator loss at iter 5449; skipping update. +2025-10-31 17:01:10,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:10,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:10,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:10,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:10,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.97, mean=-0.008739, std=3.212, absmax=12.97 +2025-10-31 17:01:10,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.517, max=11.57, mean=-0.05162, std=2.626, absmax=11.57 +2025-10-31 17:01:11,218 ERROR: Encountered non-finite generator loss at iter 5450; skipping update. +2025-10-31 17:01:11,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,221 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:11,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:11,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.3, mean=-0.09217, std=3.113, absmax=13.3 +2025-10-31 17:01:11,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=9.744, mean=-0.1211, std=2.462, absmax=10.74 +2025-10-31 17:01:11,724 ERROR: Encountered non-finite generator loss at iter 5451; skipping update. +2025-10-31 17:01:11,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:11,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:11,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:11,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:11,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.09, mean=-0.1969, std=2.796, absmax=12.91 +2025-10-31 17:01:11,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.05, mean=-0.2151, std=2.305, absmax=10.64 +2025-10-31 17:01:12,227 ERROR: Encountered non-finite generator loss at iter 5452; skipping update. +2025-10-31 17:01:12,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:12,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:12,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.14, mean=-0.2169, std=3.228, absmax=13.14 +2025-10-31 17:01:12,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=10.65, mean=-0.1825, std=2.643, absmax=12.06 +2025-10-31 17:01:12,730 ERROR: Encountered non-finite generator loss at iter 5453; skipping update. +2025-10-31 17:01:12,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:12,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:12,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:12,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:12,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.2, mean=-0.2728, std=3.071, absmax=13.98 +2025-10-31 17:01:12,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.785, mean=-0.2146, std=2.667, absmax=10.81 +2025-10-31 17:01:13,234 ERROR: Encountered non-finite generator loss at iter 5454; skipping update. +2025-10-31 17:01:13,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:13,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:13,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.57, mean=-0.08979, std=3.318, absmax=13.51 +2025-10-31 17:01:13,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.946, mean=-0.1261, std=2.61, absmax=10.44 +2025-10-31 17:01:13,738 ERROR: Encountered non-finite generator loss at iter 5455; skipping update. +2025-10-31 17:01:13,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:13,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:13,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:13,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:13,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.69, mean=-0.07518, std=2.89, absmax=13.02 +2025-10-31 17:01:13,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.243, max=8.406, mean=-0.1164, std=2.377, absmax=9.243 +2025-10-31 17:01:14,241 ERROR: Encountered non-finite generator loss at iter 5456; skipping update. +2025-10-31 17:01:14,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:14,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:14,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.09, mean=-0.2828, std=2.925, absmax=12.37 +2025-10-31 17:01:14,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.719, mean=-0.3023, std=2.583, absmax=11.83 +2025-10-31 17:01:14,746 ERROR: Encountered non-finite generator loss at iter 5457; skipping update. +2025-10-31 17:01:14,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:14,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:14,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:14,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:14,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.93, max=14.79, mean=0.1622, std=3.381, absmax=15.93 +2025-10-31 17:01:14,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=13.04, mean=0.1766, std=2.918, absmax=13.04 +2025-10-31 17:01:15,249 ERROR: Encountered non-finite generator loss at iter 5458; skipping update. +2025-10-31 17:01:15,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:15,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:15,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.21, mean=-0.1578, std=2.653, absmax=12.59 +2025-10-31 17:01:15,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.979, mean=-0.1635, std=2.163, absmax=10.17 +2025-10-31 17:01:15,752 ERROR: Encountered non-finite generator loss at iter 5459; skipping update. +2025-10-31 17:01:15,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:15,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:15,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:15,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:15,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=16.05, mean=-0.03978, std=2.83, absmax=16.05 +2025-10-31 17:01:15,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=13.47, mean=-0.05799, std=2.339, absmax=13.47 +2025-10-31 17:01:16,254 ERROR: Encountered non-finite generator loss at iter 5460; skipping update. +2025-10-31 17:01:16,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:16,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:16,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.2, mean=0.06834, std=3.062, absmax=15.2 +2025-10-31 17:01:16,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.35, mean=0.05195, std=2.512, absmax=11.35 +2025-10-31 17:01:16,755 ERROR: Encountered non-finite generator loss at iter 5461; skipping update. +2025-10-31 17:01:16,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:16,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:16,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:16,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:16,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.72, mean=-0.1517, std=2.441, absmax=13.72 +2025-10-31 17:01:16,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=11.19, mean=-0.2207, std=2.127, absmax=11.19 +2025-10-31 17:01:17,259 ERROR: Encountered non-finite generator loss at iter 5462; skipping update. +2025-10-31 17:01:17,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:17,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:17,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.3, mean=-0.2082, std=3.107, absmax=14.04 +2025-10-31 17:01:17,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.1, mean=-0.2669, std=2.712, absmax=10.93 +2025-10-31 17:01:17,763 ERROR: Encountered non-finite generator loss at iter 5463; skipping update. +2025-10-31 17:01:17,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:17,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:17,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:17,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:17,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.56, mean=-0.02929, std=3.399, absmax=13.75 +2025-10-31 17:01:17,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=9.447, mean=-0.07504, std=2.844, absmax=12.38 +2025-10-31 17:01:18,267 ERROR: Encountered non-finite generator loss at iter 5464; skipping update. +2025-10-31 17:01:18,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:18,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:18,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.67, mean=-0.09696, std=2.706, absmax=13.67 +2025-10-31 17:01:18,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.455, mean=-0.05871, std=2.302, absmax=10.47 +2025-10-31 17:01:18,771 ERROR: Encountered non-finite generator loss at iter 5465; skipping update. +2025-10-31 17:01:18,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:18,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:18,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:18,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:18,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.45, mean=-0.06387, std=3.162, absmax=13.45 +2025-10-31 17:01:18,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.24, mean=-0.02974, std=2.668, absmax=11.24 +2025-10-31 17:01:19,273 ERROR: Encountered non-finite generator loss at iter 5466; skipping update. +2025-10-31 17:01:19,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:19,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:19,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.5, mean=-0.06635, std=3.431, absmax=14.5 +2025-10-31 17:01:19,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=11.68, mean=-0.07308, std=2.836, absmax=11.68 +2025-10-31 17:01:19,774 ERROR: Encountered non-finite generator loss at iter 5467; skipping update. +2025-10-31 17:01:19,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:19,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:19,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:19,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:19,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.8, mean=-0.2062, std=2.588, absmax=12.98 +2025-10-31 17:01:19,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.189, mean=-0.2024, std=2.188, absmax=11.71 +2025-10-31 17:01:20,279 ERROR: Encountered non-finite generator loss at iter 5468; skipping update. +2025-10-31 17:01:20,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:20,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:20,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.33, mean=-0.1867, std=3.133, absmax=13.33 +2025-10-31 17:01:20,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=8.644, mean=-0.2005, std=2.611, absmax=10.21 +2025-10-31 17:01:20,782 ERROR: Encountered non-finite generator loss at iter 5469; skipping update. +2025-10-31 17:01:20,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:20,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:20,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:20,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:20,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.53, mean=-0.191, std=3.144, absmax=13.53 +2025-10-31 17:01:20,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.965, mean=-0.1982, std=2.518, absmax=10.01 +2025-10-31 17:01:21,285 ERROR: Encountered non-finite generator loss at iter 5470; skipping update. +2025-10-31 17:01:21,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:21,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:21,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=10.55, mean=-0.3174, std=2.554, absmax=12.85 +2025-10-31 17:01:21,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.89, mean=-0.2881, std=2.234, absmax=10.73 +2025-10-31 17:01:21,788 ERROR: Encountered non-finite generator loss at iter 5471; skipping update. +2025-10-31 17:01:21,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:21,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:21,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:21,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:21,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.35, mean=0.01232, std=3.177, absmax=13.35 +2025-10-31 17:01:21,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.113, max=9.641, mean=-0.01869, std=2.55, absmax=9.641 +2025-10-31 17:01:22,291 ERROR: Encountered non-finite generator loss at iter 5472; skipping update. +2025-10-31 17:01:22,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:22,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:22,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11, mean=-0.2341, std=2.641, absmax=12.16 +2025-10-31 17:01:22,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=7.919, mean=-0.2127, std=2.193, absmax=9.309 +2025-10-31 17:01:22,794 ERROR: Encountered non-finite generator loss at iter 5473; skipping update. +2025-10-31 17:01:22,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:22,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:22,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:22,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:22,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.02, mean=-0.176, std=2.841, absmax=13.46 +2025-10-31 17:01:22,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=8.679, mean=-0.1781, std=2.413, absmax=9.657 +2025-10-31 17:01:23,297 ERROR: Encountered non-finite generator loss at iter 5474; skipping update. +2025-10-31 17:01:23,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:23,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:23,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.91, mean=-0.1269, std=3.278, absmax=12.91 +2025-10-31 17:01:23,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.649, max=9.648, mean=-0.1026, std=2.672, absmax=9.649 +2025-10-31 17:01:23,802 ERROR: Encountered non-finite generator loss at iter 5475; skipping update. +2025-10-31 17:01:23,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:23,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:23,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:23,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:23,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.46, mean=-0.01483, std=3.371, absmax=13.46 +2025-10-31 17:01:23,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.98, mean=-0.02127, std=2.772, absmax=10.98 +2025-10-31 17:01:24,307 ERROR: Encountered non-finite generator loss at iter 5476; skipping update. +2025-10-31 17:01:24,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:24,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:24,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13, mean=-0.1791, std=2.711, absmax=14.86 +2025-10-31 17:01:24,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.414, mean=-0.1197, std=2.317, absmax=10.08 +2025-10-31 17:01:24,810 ERROR: Encountered non-finite generator loss at iter 5477; skipping update. +2025-10-31 17:01:24,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:24,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:24,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:24,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:24,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=16.37, mean=-0.188, std=3.578, absmax=16.37 +2025-10-31 17:01:24,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=12.31, mean=-0.1683, std=2.972, absmax=12.31 +2025-10-31 17:01:25,313 ERROR: Encountered non-finite generator loss at iter 5478; skipping update. +2025-10-31 17:01:25,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:25,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:25,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=12.18, mean=-0.3424, std=2.468, absmax=12.18 +2025-10-31 17:01:25,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=7.673, mean=-0.3053, std=2.149, absmax=10.16 +2025-10-31 17:01:25,814 ERROR: Encountered non-finite generator loss at iter 5479; skipping update. +2025-10-31 17:01:25,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:25,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:25,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:25,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:25,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.85, mean=-0.08764, std=3.088, absmax=13.45 +2025-10-31 17:01:25,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=10.67, mean=-0.1551, std=2.666, absmax=11.41 +2025-10-31 17:01:26,317 ERROR: Encountered non-finite generator loss at iter 5480; skipping update. +2025-10-31 17:01:26,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:26,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:26,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.27, mean=0.04167, std=3.196, absmax=13.27 +2025-10-31 17:01:26,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.655, max=11.01, mean=0.007701, std=2.718, absmax=11.01 +2025-10-31 17:01:26,820 ERROR: Encountered non-finite generator loss at iter 5481; skipping update. +2025-10-31 17:01:26,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:26,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:26,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:26,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:26,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.19, mean=-0.1262, std=2.782, absmax=14.19 +2025-10-31 17:01:26,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.29, mean=-0.1283, std=2.509, absmax=10.82 +2025-10-31 17:01:27,325 ERROR: Encountered non-finite generator loss at iter 5482; skipping update. +2025-10-31 17:01:27,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:27,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:27,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=13.43, mean=-0.3708, std=3.544, absmax=15.32 +2025-10-31 17:01:27,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=11.81, mean=-0.3495, std=2.872, absmax=11.81 +2025-10-31 17:01:27,829 ERROR: Encountered non-finite generator loss at iter 5483; skipping update. +2025-10-31 17:01:27,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,833 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:27,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:27,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:27,836 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:27,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.91, max=14.49, mean=-0.01326, std=3.042, absmax=17.91 +2025-10-31 17:01:27,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.64, max=12.01, mean=-0.00143, std=2.668, absmax=13.64 +2025-10-31 17:01:28,333 ERROR: Encountered non-finite generator loss at iter 5484; skipping update. +2025-10-31 17:01:28,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,336 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:28,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:28,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.22, mean=-0.1964, std=2.389, absmax=11.88 +2025-10-31 17:01:28,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.186, max=7.675, mean=-0.1735, std=2.082, absmax=9.186 +2025-10-31 17:01:28,837 ERROR: Encountered non-finite generator loss at iter 5485; skipping update. +2025-10-31 17:01:28,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:28,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:28,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:28,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:28,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.63, mean=-0.2352, std=3.03, absmax=14.61 +2025-10-31 17:01:28,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.252, mean=-0.269, std=2.573, absmax=11.84 +2025-10-31 17:01:29,340 ERROR: Encountered non-finite generator loss at iter 5486; skipping update. +2025-10-31 17:01:29,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:29,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:29,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.28, mean=-0.1498, std=3.181, absmax=13.28 +2025-10-31 17:01:29,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.28, mean=-0.1775, std=2.756, absmax=11.28 +2025-10-31 17:01:29,845 ERROR: Encountered non-finite generator loss at iter 5487; skipping update. +2025-10-31 17:01:29,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:29,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:29,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:29,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:29,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.89, mean=-0.02714, std=2.847, absmax=12.68 +2025-10-31 17:01:29,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=9.024, mean=-0.04459, std=2.387, absmax=9.789 +2025-10-31 17:01:30,350 ERROR: Encountered non-finite generator loss at iter 5488; skipping update. +2025-10-31 17:01:30,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:30,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:30,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.99, mean=-0.01751, std=2.897, absmax=12.99 +2025-10-31 17:01:30,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=10.42, mean=0.01011, std=2.486, absmax=10.42 +2025-10-31 17:01:30,853 ERROR: Encountered non-finite generator loss at iter 5489; skipping update. +2025-10-31 17:01:30,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:30,858 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:30,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:30,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:30,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=12.52, mean=-0.08956, std=3.235, absmax=14.44 +2025-10-31 17:01:30,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.298, max=11.6, mean=-0.1063, std=2.723, absmax=11.6 +2025-10-31 17:01:31,355 ERROR: Encountered non-finite generator loss at iter 5490; skipping update. +2025-10-31 17:01:31,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:31,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:31,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.86, mean=-0.1974, std=2.878, absmax=12.53 +2025-10-31 17:01:31,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.098, mean=-0.229, std=2.462, absmax=10.33 +2025-10-31 17:01:31,859 ERROR: Encountered non-finite generator loss at iter 5491; skipping update. +2025-10-31 17:01:31,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:31,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:31,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:31,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:31,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.91, mean=0.0319, std=3.343, absmax=12.91 +2025-10-31 17:01:31,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.967, max=10.54, mean=-0.01012, std=2.776, absmax=10.54 +2025-10-31 17:01:32,363 ERROR: Encountered non-finite generator loss at iter 5492; skipping update. +2025-10-31 17:01:32,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,366 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,368 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,369 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:32,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:32,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.08, mean=-0.3739, std=3.179, absmax=13.36 +2025-10-31 17:01:32,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=9.113, mean=-0.3026, std=2.572, absmax=11.52 +2025-10-31 17:01:32,866 ERROR: Encountered non-finite generator loss at iter 5493; skipping update. +2025-10-31 17:01:32,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:32,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:32,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:32,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:32,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.83, mean=0.01497, std=3.621, absmax=13.2 +2025-10-31 17:01:32,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=9.409, mean=-0.03417, std=3.074, absmax=11.13 +2025-10-31 17:01:33,366 ERROR: Encountered non-finite generator loss at iter 5494; skipping update. +2025-10-31 17:01:33,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:33,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:33,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.44, mean=-0.1421, std=3.367, absmax=13.76 +2025-10-31 17:01:33,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.07, mean=-0.1271, std=2.718, absmax=11.07 +2025-10-31 17:01:33,867 ERROR: Encountered non-finite generator loss at iter 5495; skipping update. +2025-10-31 17:01:33,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:33,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:33,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:33,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:33,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.78, mean=-0.1622, std=2.87, absmax=11.37 +2025-10-31 17:01:33,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.831, max=9.439, mean=-0.1289, std=2.458, absmax=9.439 +2025-10-31 17:01:34,367 ERROR: Encountered non-finite generator loss at iter 5496; skipping update. +2025-10-31 17:01:34,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:34,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:34,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=16.05, mean=-0.08907, std=2.809, absmax=16.05 +2025-10-31 17:01:34,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.495, max=11.92, mean=-0.08571, std=2.284, absmax=11.92 +2025-10-31 17:01:34,869 ERROR: Encountered non-finite generator loss at iter 5497; skipping update. +2025-10-31 17:01:34,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,871 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:34,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:34,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:34,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:34,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.15, mean=-0.1726, std=3.084, absmax=13.15 +2025-10-31 17:01:34,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.31, mean=-0.1482, std=2.495, absmax=11.31 +2025-10-31 17:01:35,369 ERROR: Encountered non-finite generator loss at iter 5498; skipping update. +2025-10-31 17:01:35,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:35,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:35,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.86, mean=-0.05257, std=2.737, absmax=12.74 +2025-10-31 17:01:35,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.691, max=8.213, mean=-0.06306, std=2.149, absmax=8.691 +2025-10-31 17:01:35,872 ERROR: Encountered non-finite generator loss at iter 5499; skipping update. +2025-10-31 17:01:35,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:35,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:35,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:35,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:35,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.4, mean=-0.3127, std=2.837, absmax=12.26 +2025-10-31 17:01:35,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.309, mean=-0.2544, std=2.442, absmax=10.34 +2025-10-31 17:01:36,371 ERROR: Encountered non-finite generator loss at iter 5500; skipping update. +2025-10-31 17:01:36,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:36,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:36,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.26, mean=-0.1392, std=3.277, absmax=15.26 +2025-10-31 17:01:36,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.08, mean=-0.1502, std=2.745, absmax=10.52 +2025-10-31 17:01:36,381 INFO: [29..][epoch: 0, step: 5,500, lr:(1.500e-04,)] [eta: 1 day, 18:39:49, time (data): 0.503 (0.000)] +2025-10-31 17:01:36,873 ERROR: Encountered non-finite generator loss at iter 5501; skipping update. +2025-10-31 17:01:36,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:36,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:36,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:36,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:36,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.54, mean=-0.3334, std=2.725, absmax=12.34 +2025-10-31 17:01:36,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.35, max=8.134, mean=-0.2991, std=2.397, absmax=9.35 +2025-10-31 17:01:37,371 ERROR: Encountered non-finite generator loss at iter 5502; skipping update. +2025-10-31 17:01:37,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:37,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:37,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=16.53, mean=0.2124, std=3.576, absmax=16.53 +2025-10-31 17:01:37,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=13.8, mean=0.119, std=3.012, absmax=13.8 +2025-10-31 17:01:37,872 ERROR: Encountered non-finite generator loss at iter 5503; skipping update. +2025-10-31 17:01:37,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:37,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:37,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:37,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:37,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.04, mean=-0.1502, std=2.582, absmax=12.59 +2025-10-31 17:01:37,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.797, max=8.955, mean=-0.1433, std=2.11, absmax=8.955 +2025-10-31 17:01:38,371 ERROR: Encountered non-finite generator loss at iter 5504; skipping update. +2025-10-31 17:01:38,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,374 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:38,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:38,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.1, mean=0.01675, std=3.072, absmax=14.1 +2025-10-31 17:01:38,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=12.11, mean=-0.04807, std=2.675, absmax=12.11 +2025-10-31 17:01:38,873 ERROR: Encountered non-finite generator loss at iter 5505; skipping update. +2025-10-31 17:01:38,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:38,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:38,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:38,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:38,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.54, mean=-0.08235, std=2.942, absmax=14.54 +2025-10-31 17:01:38,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.79, mean=-0.1306, std=2.398, absmax=11.79 +2025-10-31 17:01:39,372 ERROR: Encountered non-finite generator loss at iter 5506; skipping update. +2025-10-31 17:01:39,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:39,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:39,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.45, mean=-0.3457, std=2.772, absmax=13.45 +2025-10-31 17:01:39,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.343, mean=-0.338, std=2.425, absmax=11.21 +2025-10-31 17:01:39,874 ERROR: Encountered non-finite generator loss at iter 5507; skipping update. +2025-10-31 17:01:39,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:39,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:39,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:39,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:39,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.29, mean=-0.1965, std=3.2, absmax=15.29 +2025-10-31 17:01:39,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=13.55, mean=-0.1353, std=2.629, absmax=13.55 +2025-10-31 17:01:40,373 ERROR: Encountered non-finite generator loss at iter 5508; skipping update. +2025-10-31 17:01:40,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:40,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:40,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12.95, mean=-0.2023, std=3.308, absmax=14.11 +2025-10-31 17:01:40,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.893, max=10.56, mean=-0.1593, std=2.71, absmax=10.56 +2025-10-31 17:01:40,875 ERROR: Encountered non-finite generator loss at iter 5509; skipping update. +2025-10-31 17:01:40,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:40,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:40,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:40,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:40,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.88, mean=-0.3279, std=2.994, absmax=12.88 +2025-10-31 17:01:40,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.919, mean=-0.2943, std=2.464, absmax=10.95 +2025-10-31 17:01:41,375 ERROR: Encountered non-finite generator loss at iter 5510; skipping update. +2025-10-31 17:01:41,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:41,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:41,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=13.12, mean=-0.1719, std=2.648, absmax=14.9 +2025-10-31 17:01:41,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=10.65, mean=-0.1246, std=2.34, absmax=11.88 +2025-10-31 17:01:41,877 ERROR: Encountered non-finite generator loss at iter 5511; skipping update. +2025-10-31 17:01:41,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:41,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:41,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:41,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:41,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.07, mean=-0.3527, std=3.141, absmax=11.98 +2025-10-31 17:01:41,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=8.515, mean=-0.3556, std=2.804, absmax=10.41 +2025-10-31 17:01:42,378 ERROR: Encountered non-finite generator loss at iter 5512; skipping update. +2025-10-31 17:01:42,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:42,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:42,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.52, mean=-0.3551, std=3.464, absmax=14.52 +2025-10-31 17:01:42,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=8.838, mean=-0.3378, std=2.908, absmax=11.59 +2025-10-31 17:01:42,878 ERROR: Encountered non-finite generator loss at iter 5513; skipping update. +2025-10-31 17:01:42,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:42,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:42,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:42,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:42,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.82, mean=-0.1204, std=3.353, absmax=14.77 +2025-10-31 17:01:42,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.455, mean=-0.114, std=2.734, absmax=10.83 +2025-10-31 17:01:43,378 ERROR: Encountered non-finite generator loss at iter 5514; skipping update. +2025-10-31 17:01:43,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:43,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:43,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.84, mean=-0.2848, std=2.574, absmax=12.19 +2025-10-31 17:01:43,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.378, max=9.313, mean=-0.2868, std=2.222, absmax=9.378 +2025-10-31 17:01:43,878 ERROR: Encountered non-finite generator loss at iter 5515; skipping update. +2025-10-31 17:01:43,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:43,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:43,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:43,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:43,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.67, mean=-0.2241, std=3.014, absmax=13.58 +2025-10-31 17:01:43,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.326, mean=-0.2528, std=2.568, absmax=10.28 +2025-10-31 17:01:44,377 ERROR: Encountered non-finite generator loss at iter 5516; skipping update. +2025-10-31 17:01:44,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:44,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:44,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.32, mean=-0.2453, std=3.037, absmax=12.32 +2025-10-31 17:01:44,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.82, mean=-0.2469, std=2.727, absmax=11.82 +2025-10-31 17:01:44,876 ERROR: Encountered non-finite generator loss at iter 5517; skipping update. +2025-10-31 17:01:44,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:44,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:44,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:44,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:44,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=17.12, mean=-0.1879, std=3.447, absmax=17.12 +2025-10-31 17:01:44,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.94, mean=-0.161, std=2.715, absmax=11.94 +2025-10-31 17:01:45,377 ERROR: Encountered non-finite generator loss at iter 5518; skipping update. +2025-10-31 17:01:45,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:45,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:45,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=13.7, mean=-0.009272, std=3.439, absmax=15.31 +2025-10-31 17:01:45,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=11.05, mean=-0.06127, std=2.791, absmax=11.05 +2025-10-31 17:01:45,875 ERROR: Encountered non-finite generator loss at iter 5519; skipping update. +2025-10-31 17:01:45,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:45,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:45,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:45,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:45,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=14.08, mean=-0.03583, std=3.068, absmax=14.08 +2025-10-31 17:01:45,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.186, max=11, mean=-0.07112, std=2.531, absmax=11 +2025-10-31 17:01:46,374 ERROR: Encountered non-finite generator loss at iter 5520; skipping update. +2025-10-31 17:01:46,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:46,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:46,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.04, mean=-0.2361, std=2.706, absmax=12.22 +2025-10-31 17:01:46,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.6, max=10.82, mean=-0.1951, std=2.306, absmax=10.82 +2025-10-31 17:01:46,874 ERROR: Encountered non-finite generator loss at iter 5521; skipping update. +2025-10-31 17:01:46,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:46,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:46,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:46,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:46,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.75, mean=-0.2028, std=2.882, absmax=12.05 +2025-10-31 17:01:46,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.82, max=11.66, mean=-0.1919, std=2.495, absmax=11.66 +2025-10-31 17:01:47,372 ERROR: Encountered non-finite generator loss at iter 5522; skipping update. +2025-10-31 17:01:47,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:47,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:47,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=12.36, mean=-0.08347, std=2.852, absmax=12.36 +2025-10-31 17:01:47,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.164, max=11.28, mean=-0.08916, std=2.482, absmax=11.28 +2025-10-31 17:01:47,873 ERROR: Encountered non-finite generator loss at iter 5523; skipping update. +2025-10-31 17:01:47,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:47,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:47,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:47,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:47,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.43, mean=-0.2812, std=2.661, absmax=14.43 +2025-10-31 17:01:47,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.045, mean=-0.2445, std=2.294, absmax=10.46 +2025-10-31 17:01:48,373 ERROR: Encountered non-finite generator loss at iter 5524; skipping update. +2025-10-31 17:01:48,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:48,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:48,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.24, mean=-0.1559, std=2.687, absmax=12.96 +2025-10-31 17:01:48,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=8.762, mean=-0.1551, std=2.345, absmax=11.24 +2025-10-31 17:01:48,868 ERROR: Encountered non-finite generator loss at iter 5525; skipping update. +2025-10-31 17:01:48,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,871 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,871 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,872 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:48,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:48,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:48,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:48,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.94, mean=-0.2826, std=3.093, absmax=12.58 +2025-10-31 17:01:48,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=9.193, mean=-0.2835, std=2.57, absmax=10.52 +2025-10-31 17:01:49,368 ERROR: Encountered non-finite generator loss at iter 5526; skipping update. +2025-10-31 17:01:49,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:49,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:49,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=10.79, mean=-0.3931, std=3.363, absmax=13.42 +2025-10-31 17:01:49,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=8.541, mean=-0.3929, std=2.915, absmax=11.45 +2025-10-31 17:01:49,867 ERROR: Encountered non-finite generator loss at iter 5527; skipping update. +2025-10-31 17:01:49,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:49,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:49,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:49,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:49,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.77, mean=-0.2719, std=3.841, absmax=13.77 +2025-10-31 17:01:49,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=12.71, mean=-0.236, std=3.146, absmax=12.71 +2025-10-31 17:01:50,366 ERROR: Encountered non-finite generator loss at iter 5528; skipping update. +2025-10-31 17:01:50,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:50,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:50,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.73, mean=-0.4109, std=3.611, absmax=13.61 +2025-10-31 17:01:50,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=8.38, mean=-0.3379, std=3.093, absmax=10.88 +2025-10-31 17:01:50,866 ERROR: Encountered non-finite generator loss at iter 5529; skipping update. +2025-10-31 17:01:50,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:50,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:50,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:50,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:50,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.37, mean=-0.0714, std=2.814, absmax=12.78 +2025-10-31 17:01:50,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.935, max=9.9, mean=-0.1287, std=2.345, absmax=9.9 +2025-10-31 17:01:51,365 ERROR: Encountered non-finite generator loss at iter 5530; skipping update. +2025-10-31 17:01:51,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:51,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:51,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.89, mean=0.07424, std=3.012, absmax=14.89 +2025-10-31 17:01:51,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.026, max=9.945, mean=0.06465, std=2.487, absmax=9.945 +2025-10-31 17:01:51,865 ERROR: Encountered non-finite generator loss at iter 5531; skipping update. +2025-10-31 17:01:51,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:51,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:51,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:51,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:51,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=11.63, mean=-0.2864, std=3.277, absmax=15.08 +2025-10-31 17:01:51,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.168, mean=-0.3052, std=2.823, absmax=10.47 +2025-10-31 17:01:52,365 ERROR: Encountered non-finite generator loss at iter 5532; skipping update. +2025-10-31 17:01:52,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:52,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:52,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=11.49, mean=-0.2312, std=2.97, absmax=13.4 +2025-10-31 17:01:52,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.396, max=8.759, mean=-0.2023, std=2.436, absmax=9.396 +2025-10-31 17:01:52,865 ERROR: Encountered non-finite generator loss at iter 5533; skipping update. +2025-10-31 17:01:52,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:52,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:52,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:52,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:52,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.22, mean=-0.1344, std=2.903, absmax=13.22 +2025-10-31 17:01:52,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.833, max=11.92, mean=-0.1211, std=2.484, absmax=11.92 +2025-10-31 17:01:53,364 ERROR: Encountered non-finite generator loss at iter 5534; skipping update. +2025-10-31 17:01:53,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,368 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,369 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:53,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:53,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.29, mean=-0.09141, std=3.082, absmax=14.29 +2025-10-31 17:01:53,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.596, max=12.59, mean=-0.09986, std=2.662, absmax=12.59 +2025-10-31 17:01:53,865 ERROR: Encountered non-finite generator loss at iter 5535; skipping update. +2025-10-31 17:01:53,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:53,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:53,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:53,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:53,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.46, mean=-0.2308, std=3.116, absmax=14.65 +2025-10-31 17:01:53,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=10.13, mean=-0.1991, std=2.512, absmax=11.77 +2025-10-31 17:01:54,366 ERROR: Encountered non-finite generator loss at iter 5536; skipping update. +2025-10-31 17:01:54,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:54,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:54,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.56, mean=-0.3734, std=3.073, absmax=12.95 +2025-10-31 17:01:54,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=9.486, mean=-0.3714, std=2.743, absmax=11.76 +2025-10-31 17:01:54,867 ERROR: Encountered non-finite generator loss at iter 5537; skipping update. +2025-10-31 17:01:54,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:54,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:54,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:54,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:54,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.71, mean=-0.1248, std=2.993, absmax=13.18 +2025-10-31 17:01:54,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.003, mean=-0.1381, std=2.491, absmax=10.17 +2025-10-31 17:01:55,367 ERROR: Encountered non-finite generator loss at iter 5538; skipping update. +2025-10-31 17:01:55,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:55,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:55,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.97, mean=-0.1628, std=3.045, absmax=14.97 +2025-10-31 17:01:55,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.313, max=10.76, mean=-0.1993, std=2.447, absmax=10.76 +2025-10-31 17:01:55,868 ERROR: Encountered non-finite generator loss at iter 5539; skipping update. +2025-10-31 17:01:55,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,871 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:55,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:55,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:55,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:55,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=11.69, mean=-0.1654, std=2.574, absmax=11.69 +2025-10-31 17:01:55,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.067, max=9.012, mean=-0.09222, std=2.311, absmax=9.067 +2025-10-31 17:01:56,370 ERROR: Encountered non-finite generator loss at iter 5540; skipping update. +2025-10-31 17:01:56,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:56,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:56,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=18.36, mean=0.01513, std=3.422, absmax=18.36 +2025-10-31 17:01:56,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=13.31, mean=0.007704, std=2.953, absmax=13.31 +2025-10-31 17:01:56,872 ERROR: Encountered non-finite generator loss at iter 5541; skipping update. +2025-10-31 17:01:56,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:56,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:56,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:56,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:56,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=15.62, mean=-0.05878, std=3.192, absmax=15.62 +2025-10-31 17:01:56,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=13, mean=-0.05863, std=2.66, absmax=13 +2025-10-31 17:01:57,372 ERROR: Encountered non-finite generator loss at iter 5542; skipping update. +2025-10-31 17:01:57,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:57,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:57,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.7, mean=-0.2566, std=2.577, absmax=12.95 +2025-10-31 17:01:57,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.391, max=8.076, mean=-0.2321, std=2.191, absmax=9.391 +2025-10-31 17:01:57,873 ERROR: Encountered non-finite generator loss at iter 5543; skipping update. +2025-10-31 17:01:57,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:57,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:57,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:57,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:57,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.04, mean=-0.1389, std=3.27, absmax=13.04 +2025-10-31 17:01:57,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=12.28, mean=-0.1331, std=2.654, absmax=12.28 +2025-10-31 17:01:58,375 ERROR: Encountered non-finite generator loss at iter 5544; skipping update. +2025-10-31 17:01:58,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:58,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:58,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.53, max=12.65, mean=-0.1397, std=3.456, absmax=17.53 +2025-10-31 17:01:58,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.88, max=11.19, mean=-0.1027, std=2.772, absmax=12.88 +2025-10-31 17:01:58,877 ERROR: Encountered non-finite generator loss at iter 5545; skipping update. +2025-10-31 17:01:58,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:58,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:58,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:58,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:58,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=16.86, mean=-0.1928, std=3.459, absmax=16.86 +2025-10-31 17:01:58,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.51, mean=-0.1642, std=2.875, absmax=11.03 +2025-10-31 17:01:59,379 ERROR: Encountered non-finite generator loss at iter 5546; skipping update. +2025-10-31 17:01:59,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:59,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:59,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=10.1, mean=-0.2018, std=3.109, absmax=11.57 +2025-10-31 17:01:59,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.69, mean=-0.198, std=2.738, absmax=11.69 +2025-10-31 17:01:59,882 ERROR: Encountered non-finite generator loss at iter 5547; skipping update. +2025-10-31 17:01:59,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:01:59,889 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:01:59,890 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:01:59,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:01:59,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.9, mean=-0.04762, std=3.058, absmax=14.15 +2025-10-31 17:01:59,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=9.661, mean=-0.03314, std=2.414, absmax=11.94 +2025-10-31 17:02:00,386 ERROR: Encountered non-finite generator loss at iter 5548; skipping update. +2025-10-31 17:02:00,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,389 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:00,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:00,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=10.45, mean=-0.07027, std=2.637, absmax=12.18 +2025-10-31 17:02:00,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.914, mean=-0.1123, std=2.395, absmax=10.4 +2025-10-31 17:02:00,890 ERROR: Encountered non-finite generator loss at iter 5549; skipping update. +2025-10-31 17:02:00,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:00,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:00,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:00,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:00,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.37, mean=-0.258, std=2.935, absmax=13.05 +2025-10-31 17:02:00,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.45, mean=-0.2525, std=2.561, absmax=11.83 +2025-10-31 17:02:01,394 ERROR: Encountered non-finite generator loss at iter 5550; skipping update. +2025-10-31 17:02:01,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:01,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:01,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.01, mean=-0.2441, std=2.87, absmax=13.01 +2025-10-31 17:02:01,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.441, max=9.246, mean=-0.2276, std=2.551, absmax=9.441 +2025-10-31 17:02:01,898 ERROR: Encountered non-finite generator loss at iter 5551; skipping update. +2025-10-31 17:02:01,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:01,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:01,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:01,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:01,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=12.51, mean=-0.1681, std=2.388, absmax=12.51 +2025-10-31 17:02:01,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.229, max=8.243, mean=-0.1858, std=1.975, absmax=8.243 +2025-10-31 17:02:02,402 ERROR: Encountered non-finite generator loss at iter 5552; skipping update. +2025-10-31 17:02:02,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:02,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:02,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=10.27, mean=-0.06478, std=2.863, absmax=12.2 +2025-10-31 17:02:02,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.076, mean=-0.1275, std=2.395, absmax=10.75 +2025-10-31 17:02:02,905 ERROR: Encountered non-finite generator loss at iter 5553; skipping update. +2025-10-31 17:02:02,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:02,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:02,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:02,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:02,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.4, mean=-0.2817, std=2.952, absmax=13.4 +2025-10-31 17:02:02,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.871, mean=-0.2973, std=2.723, absmax=10.87 +2025-10-31 17:02:03,406 ERROR: Encountered non-finite generator loss at iter 5554; skipping update. +2025-10-31 17:02:03,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,409 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,412 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:03,413 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:03,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.35, mean=-0.06873, std=3.218, absmax=13.35 +2025-10-31 17:02:03,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=11.35, mean=-0.09772, std=2.736, absmax=11.35 +2025-10-31 17:02:03,909 ERROR: Encountered non-finite generator loss at iter 5555; skipping update. +2025-10-31 17:02:03,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,912 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,913 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:03,914 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:03,915 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:03,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:03,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.73, mean=-0.02796, std=3.044, absmax=14.73 +2025-10-31 17:02:03,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=12.52, mean=-0.0757, std=2.68, absmax=12.52 +2025-10-31 17:02:04,410 ERROR: Encountered non-finite generator loss at iter 5556; skipping update. +2025-10-31 17:02:04,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,417 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:04,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:04,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.58, mean=0.004763, std=3.264, absmax=13.58 +2025-10-31 17:02:04,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=10.76, mean=-0.03389, std=2.622, absmax=10.76 +2025-10-31 17:02:04,912 ERROR: Encountered non-finite generator loss at iter 5557; skipping update. +2025-10-31 17:02:04,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:04,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:04,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:04,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:04,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.78, mean=-0.2722, std=3.352, absmax=14.33 +2025-10-31 17:02:04,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.21, max=10.32, mean=-0.2295, std=2.892, absmax=13.21 +2025-10-31 17:02:05,415 ERROR: Encountered non-finite generator loss at iter 5558; skipping update. +2025-10-31 17:02:05,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:05,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:05,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=15.59, mean=0.1222, std=3.527, absmax=15.59 +2025-10-31 17:02:05,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=11.84, mean=0.06325, std=2.762, absmax=11.84 +2025-10-31 17:02:05,915 ERROR: Encountered non-finite generator loss at iter 5559; skipping update. +2025-10-31 17:02:05,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:05,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:05,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:05,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:05,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.95, mean=-0.1001, std=3.327, absmax=13.53 +2025-10-31 17:02:05,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=10.23, mean=-0.0994, std=2.675, absmax=12.38 +2025-10-31 17:02:06,417 ERROR: Encountered non-finite generator loss at iter 5560; skipping update. +2025-10-31 17:02:06,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,420 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:06,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:06,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=9.909, mean=-0.2606, std=2.709, absmax=13.49 +2025-10-31 17:02:06,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.856, max=8.029, mean=-0.2456, std=2.227, absmax=9.856 +2025-10-31 17:02:06,918 ERROR: Encountered non-finite generator loss at iter 5561; skipping update. +2025-10-31 17:02:06,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:06,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:06,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:06,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:06,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.69, mean=-0.2237, std=2.884, absmax=14.74 +2025-10-31 17:02:06,926 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.523, max=8.646, mean=-0.2651, std=2.406, absmax=9.523 +2025-10-31 17:02:07,419 ERROR: Encountered non-finite generator loss at iter 5562; skipping update. +2025-10-31 17:02:07,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:07,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:07,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.87, mean=0.1739, std=3.765, absmax=15.87 +2025-10-31 17:02:07,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.01, mean=0.1401, std=3.123, absmax=12.01 +2025-10-31 17:02:07,922 ERROR: Encountered non-finite generator loss at iter 5563; skipping update. +2025-10-31 17:02:07,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:07,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:07,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:07,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:07,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.8, mean=-0.007673, std=3.575, absmax=14.19 +2025-10-31 17:02:07,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.85, max=12.36, mean=-0.02416, std=3.114, absmax=12.85 +2025-10-31 17:02:08,422 ERROR: Encountered non-finite generator loss at iter 5564; skipping update. +2025-10-31 17:02:08,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:08,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:08,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.02, mean=-0.06739, std=3.079, absmax=13.02 +2025-10-31 17:02:08,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=9.076, mean=-0.09323, std=2.648, absmax=10.52 +2025-10-31 17:02:08,925 ERROR: Encountered non-finite generator loss at iter 5565; skipping update. +2025-10-31 17:02:08,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:08,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:08,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:08,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:08,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=15.3, mean=-0.1964, std=3.686, absmax=15.3 +2025-10-31 17:02:08,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.7, max=12.66, mean=-0.2294, std=3.184, absmax=12.7 +2025-10-31 17:02:09,426 ERROR: Encountered non-finite generator loss at iter 5566; skipping update. +2025-10-31 17:02:09,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:09,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:09,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.7, mean=-0.2553, std=3.013, absmax=13.7 +2025-10-31 17:02:09,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.323, mean=-0.282, std=2.511, absmax=10.34 +2025-10-31 17:02:09,926 ERROR: Encountered non-finite generator loss at iter 5567; skipping update. +2025-10-31 17:02:09,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:09,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:09,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:09,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:09,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.76, mean=-0.01864, std=2.784, absmax=12.76 +2025-10-31 17:02:09,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.562, max=11.33, mean=-0.05879, std=2.349, absmax=11.33 +2025-10-31 17:02:10,429 ERROR: Encountered non-finite generator loss at iter 5568; skipping update. +2025-10-31 17:02:10,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:10,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:10,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.08, mean=-0.2279, std=2.824, absmax=13.63 +2025-10-31 17:02:10,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.56, mean=-0.2065, std=2.336, absmax=10.97 +2025-10-31 17:02:10,930 ERROR: Encountered non-finite generator loss at iter 5569; skipping update. +2025-10-31 17:02:10,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:10,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:10,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:10,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:10,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-20.9, max=15.5, mean=-0.1382, std=2.991, absmax=20.9 +2025-10-31 17:02:10,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=12.42, mean=-0.1479, std=2.392, absmax=12.42 +2025-10-31 17:02:11,431 ERROR: Encountered non-finite generator loss at iter 5570; skipping update. +2025-10-31 17:02:11,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:11,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:11,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.68, mean=-0.2946, std=2.95, absmax=13.68 +2025-10-31 17:02:11,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.932, mean=-0.2429, std=2.537, absmax=11.84 +2025-10-31 17:02:11,933 ERROR: Encountered non-finite generator loss at iter 5571; skipping update. +2025-10-31 17:02:11,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:11,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:11,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:11,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:11,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.94, mean=-0.1205, std=2.667, absmax=12.94 +2025-10-31 17:02:11,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.494, max=9.919, mean=-0.1664, std=2.173, absmax=9.919 +2025-10-31 17:02:12,435 ERROR: Encountered non-finite generator loss at iter 5572; skipping update. +2025-10-31 17:02:12,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:12,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:12,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.43, mean=-0.03334, std=3.149, absmax=14.43 +2025-10-31 17:02:12,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.12, mean=-0.05285, std=2.61, absmax=11.52 +2025-10-31 17:02:12,937 ERROR: Encountered non-finite generator loss at iter 5573; skipping update. +2025-10-31 17:02:12,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:12,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:12,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:12,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:12,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.24, mean=-0.08635, std=3.402, absmax=15.24 +2025-10-31 17:02:12,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=12.28, mean=-0.0892, std=2.823, absmax=12.28 +2025-10-31 17:02:13,438 ERROR: Encountered non-finite generator loss at iter 5574; skipping update. +2025-10-31 17:02:13,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:13,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:13,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=13.78, mean=-0.03165, std=2.778, absmax=13.78 +2025-10-31 17:02:13,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.913, max=10.15, mean=-0.02134, std=2.402, absmax=10.15 +2025-10-31 17:02:13,940 ERROR: Encountered non-finite generator loss at iter 5575; skipping update. +2025-10-31 17:02:13,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:13,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:13,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:13,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:13,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=14.72, mean=0.05552, std=3.221, absmax=14.72 +2025-10-31 17:02:13,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=13.47, mean=0.03628, std=2.868, absmax=13.47 +2025-10-31 17:02:14,441 ERROR: Encountered non-finite generator loss at iter 5576; skipping update. +2025-10-31 17:02:14,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:14,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:14,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.1, mean=-0.2174, std=2.908, absmax=12.56 +2025-10-31 17:02:14,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.697, max=8.794, mean=-0.1888, std=2.547, absmax=9.697 +2025-10-31 17:02:14,943 ERROR: Encountered non-finite generator loss at iter 5577; skipping update. +2025-10-31 17:02:14,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:14,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:14,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:14,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:14,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=16.33, mean=0.0193, std=3.576, absmax=16.33 +2025-10-31 17:02:14,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=12.27, mean=-0.01774, std=2.951, absmax=12.27 +2025-10-31 17:02:15,444 ERROR: Encountered non-finite generator loss at iter 5578; skipping update. +2025-10-31 17:02:15,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:15,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:15,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.49, mean=-0.1761, std=2.757, absmax=12.42 +2025-10-31 17:02:15,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.941, max=8.986, mean=-0.1876, std=2.218, absmax=8.986 +2025-10-31 17:02:15,945 ERROR: Encountered non-finite generator loss at iter 5579; skipping update. +2025-10-31 17:02:15,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:15,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:15,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:15,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:15,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=16.33, mean=-0.2128, std=2.66, absmax=16.33 +2025-10-31 17:02:15,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.278, max=10.62, mean=-0.2106, std=2.191, absmax=10.62 +2025-10-31 17:02:16,445 ERROR: Encountered non-finite generator loss at iter 5580; skipping update. +2025-10-31 17:02:16,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:16,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:16,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.32, mean=-0.09861, std=3.035, absmax=14.32 +2025-10-31 17:02:16,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.777, mean=-0.09348, std=2.57, absmax=10.48 +2025-10-31 17:02:16,946 ERROR: Encountered non-finite generator loss at iter 5581; skipping update. +2025-10-31 17:02:16,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:16,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:16,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:16,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:16,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.88, mean=-0.2503, std=3.13, absmax=14.39 +2025-10-31 17:02:16,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=8.567, mean=-0.2517, std=2.566, absmax=11.37 +2025-10-31 17:02:17,449 ERROR: Encountered non-finite generator loss at iter 5582; skipping update. +2025-10-31 17:02:17,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,451 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:17,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:17,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.87, mean=-0.1934, std=3.619, absmax=12.87 +2025-10-31 17:02:17,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.773, max=10.41, mean=-0.1704, std=2.952, absmax=10.41 +2025-10-31 17:02:17,950 ERROR: Encountered non-finite generator loss at iter 5583; skipping update. +2025-10-31 17:02:17,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:17,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:17,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:17,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:17,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.36, mean=-0.1811, std=3.316, absmax=13.36 +2025-10-31 17:02:17,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=10.03, mean=-0.184, std=2.715, absmax=11.82 +2025-10-31 17:02:18,451 ERROR: Encountered non-finite generator loss at iter 5584; skipping update. +2025-10-31 17:02:18,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:18,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:18,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.12, mean=-0.1569, std=2.771, absmax=13.04 +2025-10-31 17:02:18,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.966, mean=-0.1806, std=2.413, absmax=10.13 +2025-10-31 17:02:18,951 ERROR: Encountered non-finite generator loss at iter 5585; skipping update. +2025-10-31 17:02:18,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:18,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:18,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:18,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:18,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=9.749, mean=-0.2494, std=2.73, absmax=11.92 +2025-10-31 17:02:18,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.144, max=7.989, mean=-0.2364, std=2.382, absmax=9.144 +2025-10-31 17:02:19,452 ERROR: Encountered non-finite generator loss at iter 5586; skipping update. +2025-10-31 17:02:19,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:19,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:19,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=12.08, mean=-0.2783, std=2.611, absmax=16.54 +2025-10-31 17:02:19,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.779, max=7.37, mean=-0.2562, std=2.149, absmax=9.779 +2025-10-31 17:02:19,952 ERROR: Encountered non-finite generator loss at iter 5587; skipping update. +2025-10-31 17:02:19,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:19,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:19,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:19,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:19,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.28, mean=-0.1732, std=2.781, absmax=12.28 +2025-10-31 17:02:19,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=9.426, mean=-0.1896, std=2.416, absmax=9.657 +2025-10-31 17:02:20,452 ERROR: Encountered non-finite generator loss at iter 5588; skipping update. +2025-10-31 17:02:20,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:20,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:20,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.25, mean=-0.2614, std=2.907, absmax=11.45 +2025-10-31 17:02:20,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=8.694, mean=-0.2536, std=2.332, absmax=10.2 +2025-10-31 17:02:20,953 ERROR: Encountered non-finite generator loss at iter 5589; skipping update. +2025-10-31 17:02:20,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:20,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:20,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:20,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:20,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=15.55, mean=0.05304, std=3.18, absmax=15.55 +2025-10-31 17:02:20,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.25, max=11.04, mean=0.0141, std=2.594, absmax=11.04 +2025-10-31 17:02:21,458 ERROR: Encountered non-finite generator loss at iter 5590; skipping update. +2025-10-31 17:02:21,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:21,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:21,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.75, mean=-0.2319, std=2.762, absmax=12.75 +2025-10-31 17:02:21,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=8.789, mean=-0.1807, std=2.362, absmax=9.305 +2025-10-31 17:02:21,961 ERROR: Encountered non-finite generator loss at iter 5591; skipping update. +2025-10-31 17:02:21,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,963 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:21,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:21,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:21,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:21,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=13.19, mean=-0.1435, std=2.647, absmax=13.19 +2025-10-31 17:02:21,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.848, max=10.53, mean=-0.1681, std=2.243, absmax=10.53 +2025-10-31 17:02:22,462 ERROR: Encountered non-finite generator loss at iter 5592; skipping update. +2025-10-31 17:02:22,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,467 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,468 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:22,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:22,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.46, mean=-0.1424, std=3.117, absmax=13.46 +2025-10-31 17:02:22,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.566, max=10.17, mean=-0.1706, std=2.648, absmax=10.17 +2025-10-31 17:02:22,963 ERROR: Encountered non-finite generator loss at iter 5593; skipping update. +2025-10-31 17:02:22,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,966 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:22,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:22,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:22,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:22,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=14.52, mean=-0.07992, std=3.206, absmax=14.92 +2025-10-31 17:02:22,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.35, max=12.96, mean=-0.08222, std=2.736, absmax=12.96 +2025-10-31 17:02:23,465 ERROR: Encountered non-finite generator loss at iter 5594; skipping update. +2025-10-31 17:02:23,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:23,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:23,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=17.64, mean=-0.17, std=2.749, absmax=17.64 +2025-10-31 17:02:23,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.825, max=11.51, mean=-0.128, std=2.257, absmax=11.51 +2025-10-31 17:02:23,966 ERROR: Encountered non-finite generator loss at iter 5595; skipping update. +2025-10-31 17:02:23,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:23,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:23,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:23,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:23,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.07, mean=-0.3175, std=3.312, absmax=13.33 +2025-10-31 17:02:23,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.33, mean=-0.25, std=2.828, absmax=10.54 +2025-10-31 17:02:24,470 ERROR: Encountered non-finite generator loss at iter 5596; skipping update. +2025-10-31 17:02:24,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:24,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:24,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.73, mean=-0.1032, std=3.137, absmax=14.29 +2025-10-31 17:02:24,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=9.712, mean=-0.1242, std=2.375, absmax=10.54 +2025-10-31 17:02:24,973 ERROR: Encountered non-finite generator loss at iter 5597; skipping update. +2025-10-31 17:02:24,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:24,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:24,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:24,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:24,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=15.27, mean=0.1785, std=3.743, absmax=15.27 +2025-10-31 17:02:24,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.87, max=13.78, mean=0.1855, std=3.313, absmax=13.78 +2025-10-31 17:02:25,478 ERROR: Encountered non-finite generator loss at iter 5598; skipping update. +2025-10-31 17:02:25,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,481 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:25,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:25,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.01, mean=-0.2019, std=2.551, absmax=13.01 +2025-10-31 17:02:25,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.859, max=10.63, mean=-0.177, std=2.15, absmax=10.63 +2025-10-31 17:02:25,984 ERROR: Encountered non-finite generator loss at iter 5599; skipping update. +2025-10-31 17:02:25,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:25,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:25,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:25,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:25,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.81, mean=0.007434, std=3.211, absmax=13.81 +2025-10-31 17:02:25,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.65, max=10.55, mean=-0.0003852, std=2.52, absmax=10.55 +2025-10-31 17:02:26,489 ERROR: Encountered non-finite generator loss at iter 5600; skipping update. +2025-10-31 17:02:26,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:26,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:26,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:26,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:26,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:26,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:26,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:26,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:26,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=13.68, mean=-0.2246, std=3.316, absmax=14.46 +2025-10-31 17:02:26,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=9.413, mean=-0.2101, std=2.732, absmax=12.06 +2025-10-31 17:02:26,501 INFO: [29..][epoch: 0, step: 5,600, lr:(1.500e-04,)] [eta: 1 day, 18:29:32, time (data): 0.502 (0.000)] +2025-10-31 17:02:26,994 ERROR: Encountered non-finite generator loss at iter 5601; skipping update. +2025-10-31 17:02:26,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:26,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:26,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:26,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:27,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:27,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:27,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:27,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:27,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.45, mean=-0.2937, std=2.767, absmax=12.45 +2025-10-31 17:02:27,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=7.906, mean=-0.2648, std=2.129, absmax=9.974 +2025-10-31 17:02:27,499 ERROR: Encountered non-finite generator loss at iter 5602; skipping update. +2025-10-31 17:02:27,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:27,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:27,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:27,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:27,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:27,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:27,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:27,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:27,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=17.23, mean=-0.06244, std=3.678, absmax=17.23 +2025-10-31 17:02:27,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=11.79, mean=-0.05693, std=2.934, absmax=11.79 +2025-10-31 17:02:28,003 ERROR: Encountered non-finite generator loss at iter 5603; skipping update. +2025-10-31 17:02:28,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,005 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:28,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:28,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.73, mean=-0.04767, std=2.94, absmax=14.73 +2025-10-31 17:02:28,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.88, max=10.52, mean=-0.0736, std=2.451, absmax=10.52 +2025-10-31 17:02:28,508 ERROR: Encountered non-finite generator loss at iter 5604; skipping update. +2025-10-31 17:02:28,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:28,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:28,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:28,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:28,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=15.16, mean=0.1411, std=3.968, absmax=15.16 +2025-10-31 17:02:28,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=14.82, mean=0.1386, std=3.547, absmax=14.82 +2025-10-31 17:02:29,014 ERROR: Encountered non-finite generator loss at iter 5605; skipping update. +2025-10-31 17:02:29,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:29,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:29,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.27, mean=-0.2605, std=2.545, absmax=11.85 +2025-10-31 17:02:29,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.751, max=8.024, mean=-0.249, std=2.095, absmax=9.751 +2025-10-31 17:02:29,519 ERROR: Encountered non-finite generator loss at iter 5606; skipping update. +2025-10-31 17:02:29,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:29,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:29,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:29,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:29,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.88, mean=-0.2253, std=2.493, absmax=12.88 +2025-10-31 17:02:29,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.23, max=8.125, mean=-0.1993, std=2.066, absmax=9.23 +2025-10-31 17:02:30,024 ERROR: Encountered non-finite generator loss at iter 5607; skipping update. +2025-10-31 17:02:30,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:30,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:30,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.15, mean=0.01222, std=3.27, absmax=13.15 +2025-10-31 17:02:30,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=11.35, mean=-0.02869, std=2.748, absmax=11.35 +2025-10-31 17:02:30,528 ERROR: Encountered non-finite generator loss at iter 5608; skipping update. +2025-10-31 17:02:30,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:30,532 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:30,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:30,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:30,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.52, mean=-0.04145, std=2.873, absmax=13.32 +2025-10-31 17:02:30,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.205, max=9.677, mean=-0.08507, std=2.344, absmax=9.677 +2025-10-31 17:02:31,030 ERROR: Encountered non-finite generator loss at iter 5609; skipping update. +2025-10-31 17:02:31,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:31,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:31,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=12.82, mean=-0.106, std=3.088, absmax=14.57 +2025-10-31 17:02:31,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.967, mean=-0.1515, std=2.533, absmax=11.08 +2025-10-31 17:02:31,532 ERROR: Encountered non-finite generator loss at iter 5610; skipping update. +2025-10-31 17:02:31,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:31,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:31,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:31,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:31,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.36, mean=-0.05619, std=3.407, absmax=14.36 +2025-10-31 17:02:31,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=11.77, mean=-0.07562, std=2.833, absmax=11.86 +2025-10-31 17:02:32,035 ERROR: Encountered non-finite generator loss at iter 5611; skipping update. +2025-10-31 17:02:32,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:32,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:32,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=16.33, mean=-0.1148, std=3.355, absmax=16.33 +2025-10-31 17:02:32,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=10.76, mean=-0.09804, std=2.892, absmax=12.09 +2025-10-31 17:02:32,539 ERROR: Encountered non-finite generator loss at iter 5612; skipping update. +2025-10-31 17:02:32,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:32,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:32,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:32,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:32,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.58, mean=-0.2933, std=3.064, absmax=13.58 +2025-10-31 17:02:32,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=9.786, mean=-0.2876, std=2.718, absmax=12.56 +2025-10-31 17:02:33,042 ERROR: Encountered non-finite generator loss at iter 5613; skipping update. +2025-10-31 17:02:33,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:33,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:33,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.64, mean=0.1061, std=3.266, absmax=14.64 +2025-10-31 17:02:33,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=12.47, mean=0.04207, std=2.84, absmax=12.47 +2025-10-31 17:02:33,546 ERROR: Encountered non-finite generator loss at iter 5614; skipping update. +2025-10-31 17:02:33,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:33,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:33,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:33,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:33,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=16.6, mean=-0.2902, std=3.052, absmax=16.6 +2025-10-31 17:02:33,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-15.43, max=8.264, mean=-0.2782, std=2.554, absmax=15.43 +2025-10-31 17:02:34,049 ERROR: Encountered non-finite generator loss at iter 5615; skipping update. +2025-10-31 17:02:34,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:34,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:34,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.64, mean=-0.1844, std=2.517, absmax=14.64 +2025-10-31 17:02:34,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.647, mean=-0.2193, std=2.335, absmax=11.67 +2025-10-31 17:02:34,550 ERROR: Encountered non-finite generator loss at iter 5616; skipping update. +2025-10-31 17:02:34,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,553 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:34,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:34,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:34,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:34,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.2, mean=-0.2225, std=2.612, absmax=12.2 +2025-10-31 17:02:34,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=7.752, mean=-0.226, std=2.226, absmax=10.46 +2025-10-31 17:02:35,055 ERROR: Encountered non-finite generator loss at iter 5617; skipping update. +2025-10-31 17:02:35,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:35,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:35,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=11.49, mean=-0.14, std=2.658, absmax=11.9 +2025-10-31 17:02:35,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.641, max=9.5, mean=-0.1355, std=2.309, absmax=9.641 +2025-10-31 17:02:35,558 ERROR: Encountered non-finite generator loss at iter 5618; skipping update. +2025-10-31 17:02:35,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:35,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:35,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:35,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:35,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=15.77, mean=0.2302, std=3.446, absmax=15.77 +2025-10-31 17:02:35,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.876, max=15.09, mean=0.2059, std=3.056, absmax=15.09 +2025-10-31 17:02:36,061 ERROR: Encountered non-finite generator loss at iter 5619; skipping update. +2025-10-31 17:02:36,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:36,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:36,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.51, mean=-0.2018, std=2.958, absmax=12.51 +2025-10-31 17:02:36,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.69, mean=-0.2035, std=2.423, absmax=10.69 +2025-10-31 17:02:36,565 ERROR: Encountered non-finite generator loss at iter 5620; skipping update. +2025-10-31 17:02:36,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:36,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:36,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:36,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:36,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.15, mean=-0.1201, std=2.789, absmax=13.33 +2025-10-31 17:02:36,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=8.955, mean=-0.1139, std=2.488, absmax=11.69 +2025-10-31 17:02:37,070 ERROR: Encountered non-finite generator loss at iter 5621; skipping update. +2025-10-31 17:02:37,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:37,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:37,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.46, mean=0.01878, std=3.655, absmax=15.46 +2025-10-31 17:02:37,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.83, max=12.59, mean=-0.0634, std=3.083, absmax=13.83 +2025-10-31 17:02:37,573 ERROR: Encountered non-finite generator loss at iter 5622; skipping update. +2025-10-31 17:02:37,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:37,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:37,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:37,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:37,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=10.75, mean=-0.2431, std=2.785, absmax=12.31 +2025-10-31 17:02:37,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=12, mean=-0.2293, std=2.351, absmax=12 +2025-10-31 17:02:38,075 ERROR: Encountered non-finite generator loss at iter 5623; skipping update. +2025-10-31 17:02:38,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:38,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:38,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.88, mean=0.1027, std=3.153, absmax=13.88 +2025-10-31 17:02:38,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=11.42, mean=0.06717, std=2.72, absmax=11.62 +2025-10-31 17:02:38,581 ERROR: Encountered non-finite generator loss at iter 5624; skipping update. +2025-10-31 17:02:38,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:38,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:38,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:38,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:38,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.74, mean=-0.03466, std=3.614, absmax=13.74 +2025-10-31 17:02:38,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=11.94, mean=-0.04354, std=3.004, absmax=11.94 +2025-10-31 17:02:39,086 ERROR: Encountered non-finite generator loss at iter 5625; skipping update. +2025-10-31 17:02:39,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:39,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:39,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=10.69, mean=-0.2531, std=2.639, absmax=13.03 +2025-10-31 17:02:39,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=9.279, mean=-0.2608, std=2.382, absmax=12.08 +2025-10-31 17:02:39,591 ERROR: Encountered non-finite generator loss at iter 5626; skipping update. +2025-10-31 17:02:39,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:39,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:39,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:39,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:39,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.86, mean=-0.2488, std=2.618, absmax=11.86 +2025-10-31 17:02:39,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.466, mean=-0.2214, std=2.165, absmax=10.35 +2025-10-31 17:02:40,097 ERROR: Encountered non-finite generator loss at iter 5627; skipping update. +2025-10-31 17:02:40,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:40,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:40,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.28, mean=-0.1869, std=2.792, absmax=12.28 +2025-10-31 17:02:40,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.752, max=11.37, mean=-0.1502, std=2.419, absmax=11.37 +2025-10-31 17:02:40,601 ERROR: Encountered non-finite generator loss at iter 5628; skipping update. +2025-10-31 17:02:40,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:40,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:40,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:40,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:40,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.31, mean=0.02288, std=2.941, absmax=14.31 +2025-10-31 17:02:40,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.493, max=9.924, mean=-0.05185, std=2.55, absmax=9.924 +2025-10-31 17:02:41,105 ERROR: Encountered non-finite generator loss at iter 5629; skipping update. +2025-10-31 17:02:41,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:41,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:41,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.51, mean=-0.2267, std=2.933, absmax=13.51 +2025-10-31 17:02:41,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.661, max=10.39, mean=-0.1951, std=2.328, absmax=10.39 +2025-10-31 17:02:41,610 ERROR: Encountered non-finite generator loss at iter 5630; skipping update. +2025-10-31 17:02:41,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:41,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:41,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:41,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:41,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.41, mean=-0.1074, std=2.786, absmax=13.41 +2025-10-31 17:02:41,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.825, max=9.74, mean=-0.08584, std=2.291, absmax=9.825 +2025-10-31 17:02:42,114 ERROR: Encountered non-finite generator loss at iter 5631; skipping update. +2025-10-31 17:02:42,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:42,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:42,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.65, mean=-0.3121, std=3.059, absmax=14.63 +2025-10-31 17:02:42,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.345, mean=-0.3142, std=2.701, absmax=11.29 +2025-10-31 17:02:42,620 ERROR: Encountered non-finite generator loss at iter 5632; skipping update. +2025-10-31 17:02:42,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:42,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:42,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:42,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:42,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.72, mean=-0.126, std=3.253, absmax=14.72 +2025-10-31 17:02:42,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=13.16, mean=-0.1345, std=2.712, absmax=13.16 +2025-10-31 17:02:43,125 ERROR: Encountered non-finite generator loss at iter 5633; skipping update. +2025-10-31 17:02:43,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:43,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:43,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.16, mean=-0.1349, std=2.711, absmax=13.16 +2025-10-31 17:02:43,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=10.32, mean=-0.06686, std=2.415, absmax=10.32 +2025-10-31 17:02:43,634 ERROR: Encountered non-finite generator loss at iter 5634; skipping update. +2025-10-31 17:02:43,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:43,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:43,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:43,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:43,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.81, mean=-0.103, std=2.882, absmax=12.99 +2025-10-31 17:02:43,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.575, max=10.5, mean=-0.0735, std=2.513, absmax=10.5 +2025-10-31 17:02:44,139 ERROR: Encountered non-finite generator loss at iter 5635; skipping update. +2025-10-31 17:02:44,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:44,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:44,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.68, mean=-0.1934, std=2.879, absmax=13.21 +2025-10-31 17:02:44,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=8.427, mean=-0.2035, std=2.314, absmax=10.74 +2025-10-31 17:02:44,644 ERROR: Encountered non-finite generator loss at iter 5636; skipping update. +2025-10-31 17:02:44,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:44,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:44,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:44,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:44,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.2, mean=-0.262, std=3.273, absmax=12.65 +2025-10-31 17:02:44,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.984, mean=-0.2397, std=2.907, absmax=10.86 +2025-10-31 17:02:45,148 ERROR: Encountered non-finite generator loss at iter 5637; skipping update. +2025-10-31 17:02:45,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:45,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:45,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.13, mean=-0.195, std=2.363, absmax=12.13 +2025-10-31 17:02:45,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.332, max=7.095, mean=-0.2471, std=1.947, absmax=8.332 +2025-10-31 17:02:45,654 ERROR: Encountered non-finite generator loss at iter 5638; skipping update. +2025-10-31 17:02:45,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,657 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:45,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:45,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:45,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:45,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=10.78, mean=-0.3265, std=2.889, absmax=13.89 +2025-10-31 17:02:45,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=8.733, mean=-0.345, std=2.59, absmax=11.69 +2025-10-31 17:02:46,160 ERROR: Encountered non-finite generator loss at iter 5639; skipping update. +2025-10-31 17:02:46,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:46,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:46,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.8, mean=-0.1774, std=2.776, absmax=13.8 +2025-10-31 17:02:46,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=8.18, mean=-0.1829, std=2.333, absmax=11.05 +2025-10-31 17:02:46,666 ERROR: Encountered non-finite generator loss at iter 5640; skipping update. +2025-10-31 17:02:46,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:46,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:46,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:46,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:46,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.75, mean=-0.09419, std=3.682, absmax=14.75 +2025-10-31 17:02:46,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.851, max=11.79, mean=-0.09956, std=3.067, absmax=11.79 +2025-10-31 17:02:47,170 ERROR: Encountered non-finite generator loss at iter 5641; skipping update. +2025-10-31 17:02:47,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:47,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:47,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.98, mean=-0.2592, std=2.674, absmax=12.98 +2025-10-31 17:02:47,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=8.277, mean=-0.2515, std=2.124, absmax=9.442 +2025-10-31 17:02:47,672 ERROR: Encountered non-finite generator loss at iter 5642; skipping update. +2025-10-31 17:02:47,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:47,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:47,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:47,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:47,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=16.41, mean=-0.3433, std=3.813, absmax=16.41 +2025-10-31 17:02:47,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=11.83, mean=-0.3035, std=3.31, absmax=12.81 +2025-10-31 17:02:48,176 ERROR: Encountered non-finite generator loss at iter 5643; skipping update. +2025-10-31 17:02:48,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:48,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:48,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=16.22, mean=-0.005962, std=3.216, absmax=16.22 +2025-10-31 17:02:48,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.52, mean=-0.02577, std=2.68, absmax=11.52 +2025-10-31 17:02:48,678 ERROR: Encountered non-finite generator loss at iter 5644; skipping update. +2025-10-31 17:02:48,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:48,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:48,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:48,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:48,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.4, mean=-0.007905, std=3.314, absmax=13.4 +2025-10-31 17:02:48,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.69, max=12.64, mean=-0.00938, std=2.704, absmax=12.64 +2025-10-31 17:02:49,182 ERROR: Encountered non-finite generator loss at iter 5645; skipping update. +2025-10-31 17:02:49,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:49,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:49,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.91, mean=-0.07471, std=2.802, absmax=13.91 +2025-10-31 17:02:49,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=11.07, mean=-0.1069, std=2.332, absmax=11.07 +2025-10-31 17:02:49,686 ERROR: Encountered non-finite generator loss at iter 5646; skipping update. +2025-10-31 17:02:49,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:49,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:49,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:49,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:49,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.45, mean=-0.09726, std=2.842, absmax=13.56 +2025-10-31 17:02:49,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.231, max=9.121, mean=-0.1355, std=2.468, absmax=9.231 +2025-10-31 17:02:50,190 ERROR: Encountered non-finite generator loss at iter 5647; skipping update. +2025-10-31 17:02:50,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:50,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:50,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.09, mean=-0.2509, std=3.169, absmax=14.09 +2025-10-31 17:02:50,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.626, max=8.608, mean=-0.2786, std=2.461, absmax=9.626 +2025-10-31 17:02:50,697 ERROR: Encountered non-finite generator loss at iter 5648; skipping update. +2025-10-31 17:02:50,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:50,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:50,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:50,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:50,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=10.35, mean=-0.2649, std=2.254, absmax=10.49 +2025-10-31 17:02:50,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.731, max=7.187, mean=-0.213, std=2.037, absmax=8.731 +2025-10-31 17:02:51,200 ERROR: Encountered non-finite generator loss at iter 5649; skipping update. +2025-10-31 17:02:51,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,202 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:51,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:51,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12, mean=-0.3006, std=3.12, absmax=12.02 +2025-10-31 17:02:51,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=7.648, mean=-0.3195, std=2.569, absmax=10.18 +2025-10-31 17:02:51,699 ERROR: Encountered non-finite generator loss at iter 5650; skipping update. +2025-10-31 17:02:51,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:51,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:51,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:51,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:51,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.54, mean=-0.1103, std=2.728, absmax=13.54 +2025-10-31 17:02:51,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.632, max=9.298, mean=-0.1685, std=2.227, absmax=9.298 +2025-10-31 17:02:52,202 ERROR: Encountered non-finite generator loss at iter 5651; skipping update. +2025-10-31 17:02:52,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:52,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:52,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.879, max=9.855, mean=-0.2239, std=2.198, absmax=9.879 +2025-10-31 17:02:52,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.603, max=7.714, mean=-0.2202, std=2.021, absmax=9.603 +2025-10-31 17:02:52,704 ERROR: Encountered non-finite generator loss at iter 5652; skipping update. +2025-10-31 17:02:52,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:52,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:52,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:52,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:52,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.19, mean=-0.1536, std=3.129, absmax=14.09 +2025-10-31 17:02:52,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=10.09, mean=-0.1935, std=2.656, absmax=11.09 +2025-10-31 17:02:53,205 ERROR: Encountered non-finite generator loss at iter 5653; skipping update. +2025-10-31 17:02:53,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:53,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:53,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.55, mean=-0.02987, std=2.949, absmax=12.38 +2025-10-31 17:02:53,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.844, max=9.886, mean=-0.04552, std=2.558, absmax=9.886 +2025-10-31 17:02:53,711 ERROR: Encountered non-finite generator loss at iter 5654; skipping update. +2025-10-31 17:02:53,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:53,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:53,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:53,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:53,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=15.05, mean=-0.1563, std=2.649, absmax=15.05 +2025-10-31 17:02:53,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.965, max=9.749, mean=-0.1429, std=2.199, absmax=9.965 +2025-10-31 17:02:54,211 ERROR: Encountered non-finite generator loss at iter 5655; skipping update. +2025-10-31 17:02:54,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,213 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,214 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:54,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:54,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=16.7, mean=-0.02587, std=3.342, absmax=16.7 +2025-10-31 17:02:54,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.5, mean=-0.0978, std=2.764, absmax=11.5 +2025-10-31 17:02:54,713 ERROR: Encountered non-finite generator loss at iter 5656; skipping update. +2025-10-31 17:02:54,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:54,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:54,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:54,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:54,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=11.71, mean=-0.2735, std=2.609, absmax=14.23 +2025-10-31 17:02:54,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.6, max=9.13, mean=-0.2938, std=2.388, absmax=13.6 +2025-10-31 17:02:55,212 ERROR: Encountered non-finite generator loss at iter 5657; skipping update. +2025-10-31 17:02:55,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:55,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:55,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.17, mean=-0.09127, std=3.514, absmax=13.17 +2025-10-31 17:02:55,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.901, max=11.57, mean=-0.1, std=3.098, absmax=11.57 +2025-10-31 17:02:55,713 ERROR: Encountered non-finite generator loss at iter 5658; skipping update. +2025-10-31 17:02:55,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:55,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:55,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:55,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:55,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.58, mean=-0.2952, std=3.406, absmax=15.58 +2025-10-31 17:02:55,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.45, mean=-0.2619, std=2.767, absmax=11.45 +2025-10-31 17:02:56,215 ERROR: Encountered non-finite generator loss at iter 5659; skipping update. +2025-10-31 17:02:56,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:56,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:56,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.2, mean=-0.05187, std=2.746, absmax=14.2 +2025-10-31 17:02:56,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.402, max=11.12, mean=-0.07979, std=2.304, absmax=11.12 +2025-10-31 17:02:56,718 ERROR: Encountered non-finite generator loss at iter 5660; skipping update. +2025-10-31 17:02:56,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:56,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:56,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:56,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:56,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.24, mean=-0.1726, std=2.965, absmax=12.24 +2025-10-31 17:02:56,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.84, max=9.272, mean=-0.1544, std=2.443, absmax=9.84 +2025-10-31 17:02:57,223 ERROR: Encountered non-finite generator loss at iter 5661; skipping update. +2025-10-31 17:02:57,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:57,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:57,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.16, mean=-0.2114, std=3.207, absmax=14.16 +2025-10-31 17:02:57,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.25, mean=-0.2638, std=2.635, absmax=11.25 +2025-10-31 17:02:57,726 ERROR: Encountered non-finite generator loss at iter 5662; skipping update. +2025-10-31 17:02:57,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:57,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:57,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:57,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:57,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.78, mean=-0.08366, std=3.147, absmax=12.99 +2025-10-31 17:02:57,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.459, max=9.837, mean=-0.1358, std=2.587, absmax=9.837 +2025-10-31 17:02:58,228 ERROR: Encountered non-finite generator loss at iter 5663; skipping update. +2025-10-31 17:02:58,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:58,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:58,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.42, mean=-0.3365, std=2.744, absmax=13.99 +2025-10-31 17:02:58,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.865, max=9.331, mean=-0.2751, std=2.351, absmax=9.331 +2025-10-31 17:02:58,728 ERROR: Encountered non-finite generator loss at iter 5664; skipping update. +2025-10-31 17:02:58,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:58,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:58,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:58,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:58,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.95, mean=0.0444, std=3.063, absmax=13.95 +2025-10-31 17:02:58,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.45, mean=0.03696, std=2.615, absmax=11.45 +2025-10-31 17:02:59,230 ERROR: Encountered non-finite generator loss at iter 5665; skipping update. +2025-10-31 17:02:59,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:59,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:59,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.14, mean=-0.1027, std=2.83, absmax=14.14 +2025-10-31 17:02:59,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.419, max=11.34, mean=-0.1058, std=2.392, absmax=11.34 +2025-10-31 17:02:59,730 ERROR: Encountered non-finite generator loss at iter 5666; skipping update. +2025-10-31 17:02:59,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:02:59,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:02:59,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:02:59,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:02:59,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.65, mean=-0.2968, std=2.854, absmax=12.77 +2025-10-31 17:02:59,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=8.904, mean=-0.2594, std=2.407, absmax=10.22 +2025-10-31 17:03:00,231 ERROR: Encountered non-finite generator loss at iter 5667; skipping update. +2025-10-31 17:03:00,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:00,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:00,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.26, mean=-0.06986, std=2.703, absmax=13.82 +2025-10-31 17:03:00,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.329, max=10.6, mean=-0.05405, std=2.325, absmax=10.6 +2025-10-31 17:03:00,734 ERROR: Encountered non-finite generator loss at iter 5668; skipping update. +2025-10-31 17:03:00,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:00,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:00,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:00,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:00,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=10.21, mean=-0.2429, std=2.919, absmax=13.38 +2025-10-31 17:03:00,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.47, mean=-0.2616, std=2.447, absmax=11.19 +2025-10-31 17:03:01,237 ERROR: Encountered non-finite generator loss at iter 5669; skipping update. +2025-10-31 17:03:01,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,241 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:01,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:01,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=18.29, mean=0.3054, std=3.686, absmax=18.29 +2025-10-31 17:03:01,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.25, max=12.8, mean=0.2275, std=3.032, absmax=14.25 +2025-10-31 17:03:01,740 ERROR: Encountered non-finite generator loss at iter 5670; skipping update. +2025-10-31 17:03:01,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:01,745 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:01,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:01,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:01,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=12.66, mean=-0.1902, std=2.447, absmax=12.66 +2025-10-31 17:03:01,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.144, max=10.22, mean=-0.2095, std=2.084, absmax=10.22 +2025-10-31 17:03:02,241 ERROR: Encountered non-finite generator loss at iter 5671; skipping update. +2025-10-31 17:03:02,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:02,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:02,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.73, mean=-0.02767, std=3.077, absmax=15.73 +2025-10-31 17:03:02,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.65, max=13.95, mean=-0.05333, std=2.626, absmax=13.95 +2025-10-31 17:03:02,742 ERROR: Encountered non-finite generator loss at iter 5672; skipping update. +2025-10-31 17:03:02,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:02,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:02,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:02,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:02,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.91, mean=-0.2086, std=3.556, absmax=13.95 +2025-10-31 17:03:02,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=9.245, mean=-0.1795, std=2.937, absmax=12.02 +2025-10-31 17:03:03,242 ERROR: Encountered non-finite generator loss at iter 5673; skipping update. +2025-10-31 17:03:03,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:03,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:03,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=17.32, mean=0.07337, std=3.58, absmax=17.32 +2025-10-31 17:03:03,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=16.34, mean=0.08465, std=3.116, absmax=16.34 +2025-10-31 17:03:03,745 ERROR: Encountered non-finite generator loss at iter 5674; skipping update. +2025-10-31 17:03:03,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:03,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:03,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:03,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:03,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.87, mean=-0.07365, std=2.983, absmax=13.87 +2025-10-31 17:03:03,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.047, max=12.11, mean=-0.08488, std=2.569, absmax=12.11 +2025-10-31 17:03:04,244 ERROR: Encountered non-finite generator loss at iter 5675; skipping update. +2025-10-31 17:03:04,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:04,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:04,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.01, mean=-0.07722, std=2.731, absmax=12.22 +2025-10-31 17:03:04,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.689, max=7.969, mean=-0.08082, std=2.307, absmax=9.689 +2025-10-31 17:03:04,748 ERROR: Encountered non-finite generator loss at iter 5676; skipping update. +2025-10-31 17:03:04,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:04,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:04,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:04,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:04,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.08, mean=-0.2141, std=3.023, absmax=13.42 +2025-10-31 17:03:04,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=9.667, mean=-0.1876, std=2.608, absmax=11.98 +2025-10-31 17:03:05,250 ERROR: Encountered non-finite generator loss at iter 5677; skipping update. +2025-10-31 17:03:05,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:05,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:05,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.17, mean=-0.2229, std=2.894, absmax=13.81 +2025-10-31 17:03:05,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=8.605, mean=-0.2178, std=2.38, absmax=11.58 +2025-10-31 17:03:05,753 ERROR: Encountered non-finite generator loss at iter 5678; skipping update. +2025-10-31 17:03:05,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,755 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,756 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:05,757 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:05,758 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:05,759 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:05,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.11, mean=-0.1604, std=3.106, absmax=13.87 +2025-10-31 17:03:05,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=9.683, mean=-0.1471, std=2.511, absmax=10.74 +2025-10-31 17:03:06,253 ERROR: Encountered non-finite generator loss at iter 5679; skipping update. +2025-10-31 17:03:06,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,255 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,256 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:06,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:06,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.61, mean=-0.09002, std=3.338, absmax=12.61 +2025-10-31 17:03:06,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.541, mean=-0.07741, std=2.768, absmax=11.01 +2025-10-31 17:03:06,758 ERROR: Encountered non-finite generator loss at iter 5680; skipping update. +2025-10-31 17:03:06,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:06,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:06,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:06,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:06,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=14.58, mean=-0.08476, std=2.742, absmax=14.58 +2025-10-31 17:03:06,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=11.59, mean=-0.0569, std=2.308, absmax=11.59 +2025-10-31 17:03:07,259 ERROR: Encountered non-finite generator loss at iter 5681; skipping update. +2025-10-31 17:03:07,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:07,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:07,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.63, mean=-0.2158, std=3.08, absmax=14.03 +2025-10-31 17:03:07,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=8.912, mean=-0.2526, std=2.402, absmax=12.39 +2025-10-31 17:03:07,761 ERROR: Encountered non-finite generator loss at iter 5682; skipping update. +2025-10-31 17:03:07,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:07,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:07,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:07,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:07,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=10.22, mean=-0.2679, std=2.815, absmax=12.11 +2025-10-31 17:03:07,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.83, max=8.109, mean=-0.2464, std=2.375, absmax=9.83 +2025-10-31 17:03:08,264 ERROR: Encountered non-finite generator loss at iter 5683; skipping update. +2025-10-31 17:03:08,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:08,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:08,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.4, max=9.223, mean=-0.3005, std=2.006, absmax=10.4 +2025-10-31 17:03:08,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=6.604, mean=-0.323, std=1.869, absmax=9.703 +2025-10-31 17:03:08,765 ERROR: Encountered non-finite generator loss at iter 5684; skipping update. +2025-10-31 17:03:08,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:08,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:08,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:08,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:08,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=14.18, mean=0.07199, std=3.736, absmax=15.81 +2025-10-31 17:03:08,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=11.99, mean=0.0608, std=3.009, absmax=11.99 +2025-10-31 17:03:09,266 ERROR: Encountered non-finite generator loss at iter 5685; skipping update. +2025-10-31 17:03:09,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:09,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:09,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=14.64, mean=-0.1589, std=3.073, absmax=14.68 +2025-10-31 17:03:09,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=11.88, mean=-0.154, std=2.642, absmax=11.88 +2025-10-31 17:03:09,767 ERROR: Encountered non-finite generator loss at iter 5686; skipping update. +2025-10-31 17:03:09,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:09,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:09,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:09,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:09,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=13.45, mean=-0.3182, std=3.023, absmax=14.52 +2025-10-31 17:03:09,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.832, mean=-0.2194, std=2.587, absmax=10.71 +2025-10-31 17:03:10,266 ERROR: Encountered non-finite generator loss at iter 5687; skipping update. +2025-10-31 17:03:10,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,271 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:10,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:10,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.17, mean=-0.1685, std=2.989, absmax=13.9 +2025-10-31 17:03:10,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.97, mean=-0.1805, std=2.461, absmax=11.6 +2025-10-31 17:03:10,767 ERROR: Encountered non-finite generator loss at iter 5688; skipping update. +2025-10-31 17:03:10,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:10,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:10,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:10,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:10,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.9, mean=-0.2302, std=2.762, absmax=14.22 +2025-10-31 17:03:10,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.4, max=9.209, mean=-0.2193, std=2.234, absmax=9.4 +2025-10-31 17:03:11,268 ERROR: Encountered non-finite generator loss at iter 5689; skipping update. +2025-10-31 17:03:11,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:11,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:11,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=10.94, mean=-0.3054, std=2.848, absmax=13.18 +2025-10-31 17:03:11,276 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.651, mean=-0.2928, std=2.449, absmax=10.38 +2025-10-31 17:03:11,769 ERROR: Encountered non-finite generator loss at iter 5690; skipping update. +2025-10-31 17:03:11,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:11,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:11,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:11,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:11,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.81, mean=-0.1467, std=2.902, absmax=11.81 +2025-10-31 17:03:11,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.777, max=9.884, mean=-0.1611, std=2.314, absmax=9.884 +2025-10-31 17:03:12,267 ERROR: Encountered non-finite generator loss at iter 5691; skipping update. +2025-10-31 17:03:12,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:12,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:12,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.83, mean=-0.00642, std=3.262, absmax=14.19 +2025-10-31 17:03:12,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=12.09, mean=0.02728, std=2.845, absmax=12.09 +2025-10-31 17:03:12,768 ERROR: Encountered non-finite generator loss at iter 5692; skipping update. +2025-10-31 17:03:12,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:12,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:12,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:12,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:12,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.37, mean=-0.1558, std=2.941, absmax=11.76 +2025-10-31 17:03:12,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.308, mean=-0.1574, std=2.529, absmax=10.24 +2025-10-31 17:03:13,269 ERROR: Encountered non-finite generator loss at iter 5693; skipping update. +2025-10-31 17:03:13,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:13,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:13,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=14.61, mean=-0.08315, std=2.98, absmax=14.61 +2025-10-31 17:03:13,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.352, max=11.6, mean=-0.09262, std=2.541, absmax=11.6 +2025-10-31 17:03:13,769 ERROR: Encountered non-finite generator loss at iter 5694; skipping update. +2025-10-31 17:03:13,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:13,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:13,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:13,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:13,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.83, mean=0.01842, std=2.922, absmax=12.83 +2025-10-31 17:03:13,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.82, mean=0.02006, std=2.514, absmax=10.82 +2025-10-31 17:03:14,269 ERROR: Encountered non-finite generator loss at iter 5695; skipping update. +2025-10-31 17:03:14,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,273 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:14,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:14,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.25, mean=-0.0994, std=3.112, absmax=13.25 +2025-10-31 17:03:14,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.293, max=10.13, mean=-0.1045, std=2.448, absmax=10.13 +2025-10-31 17:03:14,768 ERROR: Encountered non-finite generator loss at iter 5696; skipping update. +2025-10-31 17:03:14,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:14,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:14,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:14,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:14,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.17, mean=-0.2909, std=2.662, absmax=11.79 +2025-10-31 17:03:14,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=8.377, mean=-0.265, std=2.188, absmax=9.911 +2025-10-31 17:03:15,269 ERROR: Encountered non-finite generator loss at iter 5697; skipping update. +2025-10-31 17:03:15,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:15,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:15,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.86, mean=-0.3644, std=3.2, absmax=13.86 +2025-10-31 17:03:15,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=11.35, mean=-0.3073, std=2.708, absmax=11.52 +2025-10-31 17:03:15,770 ERROR: Encountered non-finite generator loss at iter 5698; skipping update. +2025-10-31 17:03:15,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:15,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:15,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:15,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:15,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.94, mean=-0.0237, std=3.437, absmax=13.94 +2025-10-31 17:03:15,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.39, mean=-0.06699, std=2.791, absmax=10.99 +2025-10-31 17:03:16,269 ERROR: Encountered non-finite generator loss at iter 5699; skipping update. +2025-10-31 17:03:16,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:16,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:16,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=10.82, mean=-0.224, std=2.569, absmax=12.45 +2025-10-31 17:03:16,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.92, max=8.233, mean=-0.2127, std=2.261, absmax=8.92 +2025-10-31 17:03:16,770 ERROR: Encountered non-finite generator loss at iter 5700; skipping update. +2025-10-31 17:03:16,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:16,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:16,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:16,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:16,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.98, mean=-0.2711, std=3.475, absmax=14.98 +2025-10-31 17:03:16,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=8.906, mean=-0.2413, std=2.897, absmax=12.01 +2025-10-31 17:03:16,781 INFO: [29..][epoch: 0, step: 5,700, lr:(1.500e-04,)] [eta: 1 day, 18:19:42, time (data): 0.502 (0.000)] +2025-10-31 17:03:17,271 ERROR: Encountered non-finite generator loss at iter 5701; skipping update. +2025-10-31 17:03:17,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:17,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:17,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.56, mean=-0.1722, std=2.693, absmax=12.56 +2025-10-31 17:03:17,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.816, max=9.44, mean=-0.1597, std=2.275, absmax=9.816 +2025-10-31 17:03:17,773 ERROR: Encountered non-finite generator loss at iter 5702; skipping update. +2025-10-31 17:03:17,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:17,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:17,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:17,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:17,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=20.05, mean=-0.1115, std=3.181, absmax=20.05 +2025-10-31 17:03:17,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=10.32, mean=-0.1283, std=2.671, absmax=10.32 +2025-10-31 17:03:18,273 ERROR: Encountered non-finite generator loss at iter 5703; skipping update. +2025-10-31 17:03:18,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:18,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:18,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.63, mean=-0.05551, std=2.831, absmax=14.63 +2025-10-31 17:03:18,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=13.23, mean=-0.0799, std=2.48, absmax=13.23 +2025-10-31 17:03:18,774 ERROR: Encountered non-finite generator loss at iter 5704; skipping update. +2025-10-31 17:03:18,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:18,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:18,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:18,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:18,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.41, mean=-0.2743, std=3.148, absmax=14.14 +2025-10-31 17:03:18,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.58, max=9.921, mean=-0.3119, std=2.645, absmax=13.58 +2025-10-31 17:03:19,274 ERROR: Encountered non-finite generator loss at iter 5705; skipping update. +2025-10-31 17:03:19,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:19,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:19,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=11.36, mean=-0.2899, std=2.9, absmax=15.18 +2025-10-31 17:03:19,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=7.951, mean=-0.245, std=2.566, absmax=10.89 +2025-10-31 17:03:19,776 ERROR: Encountered non-finite generator loss at iter 5706; skipping update. +2025-10-31 17:03:19,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:19,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:19,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:19,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:19,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.39, mean=-0.1376, std=2.824, absmax=12.91 +2025-10-31 17:03:19,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.083, max=7.869, mean=-0.1601, std=2.271, absmax=9.083 +2025-10-31 17:03:20,276 ERROR: Encountered non-finite generator loss at iter 5707; skipping update. +2025-10-31 17:03:20,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:20,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:20,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.61, mean=0.1347, std=3.365, absmax=12.59 +2025-10-31 17:03:20,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=9.448, mean=0.1256, std=2.765, absmax=9.49 +2025-10-31 17:03:20,783 ERROR: Encountered non-finite generator loss at iter 5708; skipping update. +2025-10-31 17:03:20,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:20,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:20,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:20,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:20,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.11, mean=-0.3041, std=2.971, absmax=12.55 +2025-10-31 17:03:20,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.138, mean=-0.2893, std=2.499, absmax=10.01 +2025-10-31 17:03:21,285 ERROR: Encountered non-finite generator loss at iter 5709; skipping update. +2025-10-31 17:03:21,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:21,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:21,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.03, max=12.8, mean=-0.2119, std=3.236, absmax=16.03 +2025-10-31 17:03:21,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=9.563, mean=-0.2242, std=2.54, absmax=9.911 +2025-10-31 17:03:21,789 ERROR: Encountered non-finite generator loss at iter 5710; skipping update. +2025-10-31 17:03:21,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:21,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:21,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:21,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:21,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.03, mean=0.05074, std=3.517, absmax=15.03 +2025-10-31 17:03:21,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.88, mean=0.02595, std=3.015, absmax=10.88 +2025-10-31 17:03:22,292 ERROR: Encountered non-finite generator loss at iter 5711; skipping update. +2025-10-31 17:03:22,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:22,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:22,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.9, mean=-0.07413, std=2.742, absmax=12.9 +2025-10-31 17:03:22,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.385, max=10.44, mean=-0.07095, std=2.357, absmax=10.44 +2025-10-31 17:03:22,795 ERROR: Encountered non-finite generator loss at iter 5712; skipping update. +2025-10-31 17:03:22,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:22,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:22,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:22,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:22,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.82, mean=-0.109, std=3.16, absmax=12.82 +2025-10-31 17:03:22,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.316, mean=-0.1692, std=2.628, absmax=10.73 +2025-10-31 17:03:23,298 ERROR: Encountered non-finite generator loss at iter 5713; skipping update. +2025-10-31 17:03:23,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:23,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:23,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.33, mean=0.135, std=3.4, absmax=15.33 +2025-10-31 17:03:23,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.301, max=14.45, mean=0.09111, std=2.945, absmax=14.45 +2025-10-31 17:03:23,801 ERROR: Encountered non-finite generator loss at iter 5714; skipping update. +2025-10-31 17:03:23,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:23,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:23,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:23,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:23,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=9.779, mean=-0.2114, std=2.475, absmax=11.87 +2025-10-31 17:03:23,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.687, max=7.521, mean=-0.1955, std=2.212, absmax=9.687 +2025-10-31 17:03:24,306 ERROR: Encountered non-finite generator loss at iter 5715; skipping update. +2025-10-31 17:03:24,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:24,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:24,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=10.9, mean=-0.2219, std=2.912, absmax=11.1 +2025-10-31 17:03:24,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.823, max=7.947, mean=-0.2211, std=2.456, absmax=8.823 +2025-10-31 17:03:24,808 ERROR: Encountered non-finite generator loss at iter 5716; skipping update. +2025-10-31 17:03:24,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:24,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:24,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:24,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:24,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.73, max=14.24, mean=0.1087, std=3.203, absmax=15.73 +2025-10-31 17:03:24,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.12, mean=0.09113, std=2.594, absmax=11.12 +2025-10-31 17:03:25,313 ERROR: Encountered non-finite generator loss at iter 5717; skipping update. +2025-10-31 17:03:25,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:25,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:25,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.39, mean=-0.1365, std=3.174, absmax=12.39 +2025-10-31 17:03:25,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.838, max=9.975, mean=-0.1304, std=2.71, absmax=9.975 +2025-10-31 17:03:25,816 ERROR: Encountered non-finite generator loss at iter 5718; skipping update. +2025-10-31 17:03:25,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,820 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,821 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,822 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:25,823 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:25,824 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:25,825 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:25,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.17, mean=-0.04402, std=2.643, absmax=12.78 +2025-10-31 17:03:25,827 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=8.73, mean=-0.09064, std=2.355, absmax=10.06 +2025-10-31 17:03:26,321 ERROR: Encountered non-finite generator loss at iter 5719; skipping update. +2025-10-31 17:03:26,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:26,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:26,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.85, mean=-0.02243, std=2.945, absmax=12.2 +2025-10-31 17:03:26,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=9.419, mean=-0.01747, std=2.594, absmax=9.929 +2025-10-31 17:03:26,825 ERROR: Encountered non-finite generator loss at iter 5720; skipping update. +2025-10-31 17:03:26,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:26,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:26,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:26,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:26,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15.23, mean=-0.07769, std=3.168, absmax=15.23 +2025-10-31 17:03:26,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.09, mean=-0.1064, std=2.482, absmax=10.19 +2025-10-31 17:03:27,328 ERROR: Encountered non-finite generator loss at iter 5721; skipping update. +2025-10-31 17:03:27,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:27,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:27,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.28, mean=-0.1241, std=2.839, absmax=12.28 +2025-10-31 17:03:27,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.18, mean=-0.1447, std=2.396, absmax=10.78 +2025-10-31 17:03:27,832 ERROR: Encountered non-finite generator loss at iter 5722; skipping update. +2025-10-31 17:03:27,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:27,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:27,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:27,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:27,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=13.38, mean=-0.08454, std=3.091, absmax=14.71 +2025-10-31 17:03:27,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.34, mean=-0.1253, std=2.522, absmax=10.95 +2025-10-31 17:03:28,337 ERROR: Encountered non-finite generator loss at iter 5723; skipping update. +2025-10-31 17:03:28,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:28,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:28,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.64, mean=-0.1253, std=2.975, absmax=12.66 +2025-10-31 17:03:28,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.778, mean=-0.09232, std=2.662, absmax=10.79 +2025-10-31 17:03:28,842 ERROR: Encountered non-finite generator loss at iter 5724; skipping update. +2025-10-31 17:03:28,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:28,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:28,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:28,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:28,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.05, mean=-0.1761, std=2.597, absmax=13.02 +2025-10-31 17:03:28,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=9.29, mean=-0.1738, std=2.117, absmax=11.83 +2025-10-31 17:03:29,346 ERROR: Encountered non-finite generator loss at iter 5725; skipping update. +2025-10-31 17:03:29,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:29,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:29,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=15.3, mean=-0.1236, std=3.525, absmax=15.3 +2025-10-31 17:03:29,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=12.01, mean=-0.1414, std=2.932, absmax=12.01 +2025-10-31 17:03:29,850 ERROR: Encountered non-finite generator loss at iter 5726; skipping update. +2025-10-31 17:03:29,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:29,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:29,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:29,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:29,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.52, mean=-0.09071, std=2.876, absmax=13.52 +2025-10-31 17:03:29,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.385, max=8.171, mean=-0.1434, std=2.211, absmax=9.385 +2025-10-31 17:03:30,366 ERROR: Encountered non-finite generator loss at iter 5727; skipping update. +2025-10-31 17:03:30,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:30,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:30,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.7, mean=-0.1226, std=2.616, absmax=12.04 +2025-10-31 17:03:30,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.518, max=8.322, mean=-0.1315, std=2.176, absmax=9.518 +2025-10-31 17:03:30,870 ERROR: Encountered non-finite generator loss at iter 5728; skipping update. +2025-10-31 17:03:30,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:30,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:30,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:30,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:30,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.35, mean=-0.1666, std=2.617, absmax=14.35 +2025-10-31 17:03:30,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.413, max=9.186, mean=-0.1604, std=2.193, absmax=9.413 +2025-10-31 17:03:31,375 ERROR: Encountered non-finite generator loss at iter 5729; skipping update. +2025-10-31 17:03:31,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:31,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:31,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.46, max=13.4, mean=-0.04694, std=3.06, absmax=15.46 +2025-10-31 17:03:31,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.14, mean=-0.03817, std=2.526, absmax=10.39 +2025-10-31 17:03:31,876 ERROR: Encountered non-finite generator loss at iter 5730; skipping update. +2025-10-31 17:03:31,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:31,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:31,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:31,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:31,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.34, mean=-0.2606, std=2.529, absmax=12.46 +2025-10-31 17:03:31,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.422, max=8.099, mean=-0.2602, std=2.047, absmax=8.422 +2025-10-31 17:03:32,379 ERROR: Encountered non-finite generator loss at iter 5731; skipping update. +2025-10-31 17:03:32,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:32,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:32,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=16.25, mean=0.02311, std=3.817, absmax=16.25 +2025-10-31 17:03:32,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.07, max=12.15, mean=-0.01979, std=3.188, absmax=13.07 +2025-10-31 17:03:32,880 ERROR: Encountered non-finite generator loss at iter 5732; skipping update. +2025-10-31 17:03:32,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:32,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:32,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:32,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:32,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=15.79, mean=-0.221, std=2.767, absmax=15.79 +2025-10-31 17:03:32,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=9.579, mean=-0.2158, std=2.394, absmax=11.48 +2025-10-31 17:03:33,384 ERROR: Encountered non-finite generator loss at iter 5733; skipping update. +2025-10-31 17:03:33,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:33,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:33,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=9.66, mean=-0.2838, std=2.743, absmax=12.17 +2025-10-31 17:03:33,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.156, mean=-0.255, std=2.534, absmax=10.45 +2025-10-31 17:03:33,889 ERROR: Encountered non-finite generator loss at iter 5734; skipping update. +2025-10-31 17:03:33,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,892 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,893 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:33,894 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:33,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:33,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:33,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=15.04, mean=-0.1102, std=2.899, absmax=15.04 +2025-10-31 17:03:33,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.373, mean=-0.1318, std=2.157, absmax=11.06 +2025-10-31 17:03:34,392 ERROR: Encountered non-finite generator loss at iter 5735; skipping update. +2025-10-31 17:03:34,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:34,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:34,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.8, max=15.4, mean=-0.2182, std=3.089, absmax=16.8 +2025-10-31 17:03:34,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=11.45, mean=-0.1958, std=2.644, absmax=12.23 +2025-10-31 17:03:34,896 ERROR: Encountered non-finite generator loss at iter 5736; skipping update. +2025-10-31 17:03:34,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:34,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:34,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:34,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:34,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.76, mean=-0.212, std=3.058, absmax=13.36 +2025-10-31 17:03:34,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.912, mean=-0.2342, std=2.645, absmax=10.44 +2025-10-31 17:03:35,401 ERROR: Encountered non-finite generator loss at iter 5737; skipping update. +2025-10-31 17:03:35,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:35,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:35,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.36, mean=-0.09244, std=3.694, absmax=12.85 +2025-10-31 17:03:35,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.691, max=10.56, mean=-0.1124, std=3.188, absmax=10.56 +2025-10-31 17:03:35,907 ERROR: Encountered non-finite generator loss at iter 5738; skipping update. +2025-10-31 17:03:35,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,912 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,913 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:35,914 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:35,915 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:35,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:35,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.84, mean=-0.1396, std=2.845, absmax=13.84 +2025-10-31 17:03:35,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.282, max=10.46, mean=-0.1713, std=2.358, absmax=10.46 +2025-10-31 17:03:36,411 ERROR: Encountered non-finite generator loss at iter 5739; skipping update. +2025-10-31 17:03:36,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:36,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:36,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.4, mean=-0.09573, std=2.684, absmax=12.27 +2025-10-31 17:03:36,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.715, max=8.473, mean=-0.07296, std=2.285, absmax=8.715 +2025-10-31 17:03:36,917 ERROR: Encountered non-finite generator loss at iter 5740; skipping update. +2025-10-31 17:03:36,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,919 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:36,922 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:36,923 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:36,924 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:36,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.85, mean=0.05528, std=3.642, absmax=13.85 +2025-10-31 17:03:36,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=11.17, mean=0.02325, std=3.054, absmax=11.23 +2025-10-31 17:03:37,421 ERROR: Encountered non-finite generator loss at iter 5741; skipping update. +2025-10-31 17:03:37,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,427 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:37,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:37,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.78, mean=-0.1617, std=2.87, absmax=13.78 +2025-10-31 17:03:37,431 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.65, mean=-0.1616, std=2.385, absmax=10.65 +2025-10-31 17:03:37,924 ERROR: Encountered non-finite generator loss at iter 5742; skipping update. +2025-10-31 17:03:37,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:37,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:37,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:37,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:37,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.19, mean=-0.158, std=2.415, absmax=13.19 +2025-10-31 17:03:37,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.441, max=10.3, mean=-0.1536, std=2.096, absmax=10.3 +2025-10-31 17:03:38,428 ERROR: Encountered non-finite generator loss at iter 5743; skipping update. +2025-10-31 17:03:38,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,433 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:38,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:38,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.24, mean=-0.2094, std=3.237, absmax=13.24 +2025-10-31 17:03:38,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=9.756, mean=-0.2416, std=2.632, absmax=9.756 +2025-10-31 17:03:38,931 ERROR: Encountered non-finite generator loss at iter 5744; skipping update. +2025-10-31 17:03:38,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:38,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:38,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:38,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:38,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.78, mean=-0.1144, std=2.729, absmax=15.78 +2025-10-31 17:03:38,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.231, max=10.21, mean=-0.1052, std=2.222, absmax=10.21 +2025-10-31 17:03:39,436 ERROR: Encountered non-finite generator loss at iter 5745; skipping update. +2025-10-31 17:03:39,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:39,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:39,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.84, mean=-0.1086, std=2.818, absmax=12.84 +2025-10-31 17:03:39,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.314, mean=-0.095, std=2.395, absmax=10.91 +2025-10-31 17:03:39,940 ERROR: Encountered non-finite generator loss at iter 5746; skipping update. +2025-10-31 17:03:39,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:39,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:39,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:39,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:39,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.99, mean=-0.1023, std=2.9, absmax=12.99 +2025-10-31 17:03:39,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.184, max=10.01, mean=-0.08424, std=2.428, absmax=10.01 +2025-10-31 17:03:40,443 ERROR: Encountered non-finite generator loss at iter 5747; skipping update. +2025-10-31 17:03:40,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:40,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:40,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.26, mean=0.06943, std=2.969, absmax=13.26 +2025-10-31 17:03:40,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.782, mean=-0.003964, std=2.428, absmax=10.76 +2025-10-31 17:03:40,946 ERROR: Encountered non-finite generator loss at iter 5748; skipping update. +2025-10-31 17:03:40,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:40,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:40,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:40,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:40,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.78, mean=-0.2871, std=2.538, absmax=13.04 +2025-10-31 17:03:40,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.836, max=9.609, mean=-0.3113, std=2.106, absmax=9.609 +2025-10-31 17:03:41,449 ERROR: Encountered non-finite generator loss at iter 5749; skipping update. +2025-10-31 17:03:41,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:41,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:41,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.13, mean=-0.2606, std=3.021, absmax=13.76 +2025-10-31 17:03:41,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.179, mean=-0.2482, std=2.574, absmax=10.31 +2025-10-31 17:03:41,954 ERROR: Encountered non-finite generator loss at iter 5750; skipping update. +2025-10-31 17:03:41,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:41,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:41,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:41,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:41,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=16.94, mean=-0.101, std=3.282, absmax=16.94 +2025-10-31 17:03:41,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=11.92, mean=-0.1397, std=2.654, absmax=11.92 +2025-10-31 17:03:42,458 ERROR: Encountered non-finite generator loss at iter 5751; skipping update. +2025-10-31 17:03:42,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:42,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:42,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.27, mean=-0.1493, std=2.398, absmax=11.51 +2025-10-31 17:03:42,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=7.557, mean=-0.1697, std=2.033, absmax=10.55 +2025-10-31 17:03:42,961 ERROR: Encountered non-finite generator loss at iter 5752; skipping update. +2025-10-31 17:03:42,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:42,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:42,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:42,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:42,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.59, mean=-0.2539, std=3.037, absmax=13.59 +2025-10-31 17:03:42,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=7.986, mean=-0.2612, std=2.511, absmax=10.31 +2025-10-31 17:03:43,464 ERROR: Encountered non-finite generator loss at iter 5753; skipping update. +2025-10-31 17:03:43,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:43,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:43,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.15, mean=-0.2314, std=2.019, absmax=11.75 +2025-10-31 17:03:43,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.032, max=8.088, mean=-0.1958, std=1.838, absmax=8.088 +2025-10-31 17:03:43,966 ERROR: Encountered non-finite generator loss at iter 5754; skipping update. +2025-10-31 17:03:43,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:43,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:43,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:43,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:43,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.71, mean=-0.1179, std=2.525, absmax=12.15 +2025-10-31 17:03:43,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.934, max=8.274, mean=-0.1834, std=2.131, absmax=8.934 +2025-10-31 17:03:44,468 ERROR: Encountered non-finite generator loss at iter 5755; skipping update. +2025-10-31 17:03:44,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:44,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:44,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=14.47, mean=0.1361, std=3.63, absmax=14.47 +2025-10-31 17:03:44,481 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.48, max=11.48, mean=0.1636, std=3.155, absmax=12.48 +2025-10-31 17:03:44,972 ERROR: Encountered non-finite generator loss at iter 5756; skipping update. +2025-10-31 17:03:44,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,976 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:44,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:44,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:44,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:44,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.47, mean=-0.06221, std=2.511, absmax=12.25 +2025-10-31 17:03:44,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.233, max=9.386, mean=-0.0843, std=2.254, absmax=9.386 +2025-10-31 17:03:45,473 ERROR: Encountered non-finite generator loss at iter 5757; skipping update. +2025-10-31 17:03:45,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:45,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:45,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.61, mean=-0.2687, std=3.198, absmax=14.61 +2025-10-31 17:03:45,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.4, mean=-0.2501, std=2.448, absmax=10.54 +2025-10-31 17:03:45,974 ERROR: Encountered non-finite generator loss at iter 5758; skipping update. +2025-10-31 17:03:45,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:45,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:45,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:45,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:45,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.66, mean=-0.1789, std=2.836, absmax=12.56 +2025-10-31 17:03:45,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=8.867, mean=-0.1527, std=2.353, absmax=9.442 +2025-10-31 17:03:46,474 ERROR: Encountered non-finite generator loss at iter 5759; skipping update. +2025-10-31 17:03:46,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:46,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:46,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.75, mean=-0.02379, std=3.376, absmax=15.75 +2025-10-31 17:03:46,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=13.41, mean=-0.02137, std=2.999, absmax=13.41 +2025-10-31 17:03:46,974 ERROR: Encountered non-finite generator loss at iter 5760; skipping update. +2025-10-31 17:03:46,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:46,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:46,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:46,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:46,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.99, mean=-0.1456, std=3.317, absmax=13.68 +2025-10-31 17:03:46,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=10.94, mean=-0.1344, std=2.884, absmax=12.1 +2025-10-31 17:03:47,476 ERROR: Encountered non-finite generator loss at iter 5761; skipping update. +2025-10-31 17:03:47,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:47,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:47,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.6, mean=-0.1745, std=3.072, absmax=13.6 +2025-10-31 17:03:47,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.202, mean=-0.1786, std=2.459, absmax=10.12 +2025-10-31 17:03:47,976 ERROR: Encountered non-finite generator loss at iter 5762; skipping update. +2025-10-31 17:03:47,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:47,982 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:47,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:47,984 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:47,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.71, mean=-0.3056, std=2.917, absmax=11.69 +2025-10-31 17:03:47,986 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=8.566, mean=-0.2989, std=2.775, absmax=11.63 +2025-10-31 17:03:48,477 ERROR: Encountered non-finite generator loss at iter 5763; skipping update. +2025-10-31 17:03:48,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,481 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,483 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:48,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:48,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.15, mean=-0.1208, std=2.94, absmax=15.15 +2025-10-31 17:03:48,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.621, max=10.67, mean=-0.09435, std=2.497, absmax=10.67 +2025-10-31 17:03:48,979 ERROR: Encountered non-finite generator loss at iter 5764; skipping update. +2025-10-31 17:03:48,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:48,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:48,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:48,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:48,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=10.51, mean=-0.1191, std=2.789, absmax=11.14 +2025-10-31 17:03:48,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.654, max=10.33, mean=-0.138, std=2.373, absmax=10.33 +2025-10-31 17:03:49,479 ERROR: Encountered non-finite generator loss at iter 5765; skipping update. +2025-10-31 17:03:49,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:49,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:49,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.52, mean=-0.05159, std=3.203, absmax=13.89 +2025-10-31 17:03:49,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=8.581, mean=-0.08311, std=2.651, absmax=11.04 +2025-10-31 17:03:49,983 ERROR: Encountered non-finite generator loss at iter 5766; skipping update. +2025-10-31 17:03:49,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:49,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:49,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:49,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:49,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=15.62, mean=-0.09592, std=2.905, absmax=15.62 +2025-10-31 17:03:49,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.45, mean=-0.1129, std=2.478, absmax=12.45 +2025-10-31 17:03:50,487 ERROR: Encountered non-finite generator loss at iter 5767; skipping update. +2025-10-31 17:03:50,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:50,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:50,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=12.4, mean=-0.1509, std=2.905, absmax=12.4 +2025-10-31 17:03:50,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.694, max=10.21, mean=-0.1087, std=2.515, absmax=10.21 +2025-10-31 17:03:50,991 ERROR: Encountered non-finite generator loss at iter 5768; skipping update. +2025-10-31 17:03:50,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:50,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:50,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:50,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:51,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=16.06, mean=-0.0639, std=3.452, absmax=16.06 +2025-10-31 17:03:51,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.84, max=10.93, mean=-0.09935, std=2.99, absmax=12.84 +2025-10-31 17:03:51,497 ERROR: Encountered non-finite generator loss at iter 5769; skipping update. +2025-10-31 17:03:51,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:51,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:51,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:51,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:51,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:51,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:51,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:51,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:51,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=12.86, mean=-0.2688, std=2.563, absmax=12.86 +2025-10-31 17:03:51,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.292, max=7.531, mean=-0.2507, std=2.109, absmax=9.292 +2025-10-31 17:03:52,000 ERROR: Encountered non-finite generator loss at iter 5770; skipping update. +2025-10-31 17:03:52,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:52,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:52,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=12.76, mean=-0.2099, std=2.55, absmax=12.76 +2025-10-31 17:03:52,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.215, max=10.74, mean=-0.2375, std=2.188, absmax=10.74 +2025-10-31 17:03:52,505 ERROR: Encountered non-finite generator loss at iter 5771; skipping update. +2025-10-31 17:03:52,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,509 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:52,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:52,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:52,514 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:52,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=15.7, mean=-0.08731, std=3.311, absmax=15.7 +2025-10-31 17:03:52,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=11.37, mean=-0.1079, std=2.86, absmax=11.59 +2025-10-31 17:03:53,007 ERROR: Encountered non-finite generator loss at iter 5772; skipping update. +2025-10-31 17:03:53,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:53,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:53,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.5, mean=-0.259, std=3.429, absmax=14.5 +2025-10-31 17:03:53,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.357, mean=-0.2591, std=2.666, absmax=11.54 +2025-10-31 17:03:53,512 ERROR: Encountered non-finite generator loss at iter 5773; skipping update. +2025-10-31 17:03:53,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,514 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,515 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:53,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:53,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:53,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:53,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=11.79, mean=-0.3141, std=3.234, absmax=13.15 +2025-10-31 17:03:53,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.358, mean=-0.309, std=2.709, absmax=11.66 +2025-10-31 17:03:54,014 ERROR: Encountered non-finite generator loss at iter 5774; skipping update. +2025-10-31 17:03:54,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:54,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:54,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.63, mean=-0.2556, std=2.453, absmax=12.27 +2025-10-31 17:03:54,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.737, mean=-0.2853, std=2.286, absmax=10.03 +2025-10-31 17:03:54,517 ERROR: Encountered non-finite generator loss at iter 5775; skipping update. +2025-10-31 17:03:54,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:54,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:54,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:54,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:54,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.73, mean=-0.1646, std=3.321, absmax=13.17 +2025-10-31 17:03:54,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.947, mean=-0.2085, std=2.843, absmax=10.84 +2025-10-31 17:03:55,019 ERROR: Encountered non-finite generator loss at iter 5776; skipping update. +2025-10-31 17:03:55,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:55,028 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:55,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.54, mean=-0.1915, std=2.78, absmax=12.99 +2025-10-31 17:03:55,030 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.973, max=8.797, mean=-0.2432, std=2.326, absmax=8.973 +2025-10-31 17:03:55,524 ERROR: Encountered non-finite generator loss at iter 5777; skipping update. +2025-10-31 17:03:55,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:55,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:55,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:55,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:55,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=13.35, mean=-0.1307, std=3.53, absmax=14.64 +2025-10-31 17:03:55,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.83, max=11.23, mean=-0.1995, std=3.005, absmax=12.83 +2025-10-31 17:03:56,027 ERROR: Encountered non-finite generator loss at iter 5778; skipping update. +2025-10-31 17:03:56,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:56,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:56,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.37, mean=-0.3005, std=2.783, absmax=13.37 +2025-10-31 17:03:56,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=9.008, mean=-0.3057, std=2.354, absmax=10.53 +2025-10-31 17:03:56,532 ERROR: Encountered non-finite generator loss at iter 5779; skipping update. +2025-10-31 17:03:56,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:56,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:56,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:56,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:56,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.1, mean=-0.2468, std=3.251, absmax=14.7 +2025-10-31 17:03:56,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=9.884, mean=-0.2419, std=2.789, absmax=12.14 +2025-10-31 17:03:57,034 ERROR: Encountered non-finite generator loss at iter 5780; skipping update. +2025-10-31 17:03:57,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:57,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:57,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.1, mean=-0.116, std=2.523, absmax=12.1 +2025-10-31 17:03:57,044 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.73, max=9.29, mean=-0.112, std=2.221, absmax=9.29 +2025-10-31 17:03:57,538 ERROR: Encountered non-finite generator loss at iter 5781; skipping update. +2025-10-31 17:03:57,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:57,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:57,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:57,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:57,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.23, mean=-0.1917, std=2.525, absmax=13.23 +2025-10-31 17:03:57,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.733, mean=-0.187, std=2.073, absmax=10.25 +2025-10-31 17:03:58,042 ERROR: Encountered non-finite generator loss at iter 5782; skipping update. +2025-10-31 17:03:58,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:58,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:58,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.79, mean=-0.2283, std=3.333, absmax=13.79 +2025-10-31 17:03:58,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.89, mean=-0.2201, std=2.634, absmax=10.09 +2025-10-31 17:03:58,546 ERROR: Encountered non-finite generator loss at iter 5783; skipping update. +2025-10-31 17:03:58,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:58,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:58,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:58,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:58,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.1, mean=-0.276, std=2.987, absmax=13.1 +2025-10-31 17:03:58,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=9.528, mean=-0.2725, std=2.671, absmax=10.94 +2025-10-31 17:03:59,051 ERROR: Encountered non-finite generator loss at iter 5784; skipping update. +2025-10-31 17:03:59,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:59,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:59,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=15.26, mean=0.08762, std=3.375, absmax=15.26 +2025-10-31 17:03:59,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=14.56, mean=0.02989, std=2.927, absmax=14.56 +2025-10-31 17:03:59,553 ERROR: Encountered non-finite generator loss at iter 5785; skipping update. +2025-10-31 17:03:59,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:03:59,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:03:59,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:03:59,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:03:59,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.49, mean=-0.212, std=3.027, absmax=14.49 +2025-10-31 17:03:59,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.218, mean=-0.2196, std=2.436, absmax=11.19 +2025-10-31 17:04:00,057 ERROR: Encountered non-finite generator loss at iter 5786; skipping update. +2025-10-31 17:04:00,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:00,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:00,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=12.62, mean=-0.2821, std=3.195, absmax=14.27 +2025-10-31 17:04:00,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=9.353, mean=-0.2517, std=2.755, absmax=11.58 +2025-10-31 17:04:00,562 ERROR: Encountered non-finite generator loss at iter 5787; skipping update. +2025-10-31 17:04:00,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:00,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:00,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:00,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:00,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.98, mean=-0.2231, std=3.077, absmax=12.11 +2025-10-31 17:04:00,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.841, max=8.83, mean=-0.2655, std=2.622, absmax=9.841 +2025-10-31 17:04:01,064 ERROR: Encountered non-finite generator loss at iter 5788; skipping update. +2025-10-31 17:04:01,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:01,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:01,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=14.12, mean=-0.2421, std=2.696, absmax=15.58 +2025-10-31 17:04:01,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=11.04, mean=-0.1924, std=2.246, absmax=11.31 +2025-10-31 17:04:01,566 ERROR: Encountered non-finite generator loss at iter 5789; skipping update. +2025-10-31 17:04:01,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:01,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:01,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:01,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:01,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.95, mean=-0.2235, std=3.269, absmax=13.76 +2025-10-31 17:04:01,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.555, mean=-0.2022, std=2.644, absmax=10.93 +2025-10-31 17:04:02,071 ERROR: Encountered non-finite generator loss at iter 5790; skipping update. +2025-10-31 17:04:02,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:02,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:02,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.82, mean=-0.1237, std=2.835, absmax=11.82 +2025-10-31 17:04:02,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.517, max=11.36, mean=-0.1045, std=2.488, absmax=11.36 +2025-10-31 17:04:02,575 ERROR: Encountered non-finite generator loss at iter 5791; skipping update. +2025-10-31 17:04:02,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:02,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:02,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:02,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:02,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.78, mean=0.1865, std=3.296, absmax=14.78 +2025-10-31 17:04:02,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.561, max=12.02, mean=0.1027, std=2.724, absmax=12.02 +2025-10-31 17:04:03,085 ERROR: Encountered non-finite generator loss at iter 5792; skipping update. +2025-10-31 17:04:03,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:03,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:03,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.21, mean=-0.1362, std=2.807, absmax=13.54 +2025-10-31 17:04:03,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.121, max=9.073, mean=-0.1893, std=2.365, absmax=9.121 +2025-10-31 17:04:03,588 ERROR: Encountered non-finite generator loss at iter 5793; skipping update. +2025-10-31 17:04:03,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:03,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:03,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:03,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:03,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.35, mean=-0.1722, std=2.532, absmax=13.35 +2025-10-31 17:04:03,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.838, max=8.948, mean=-0.1757, std=2.116, absmax=8.948 +2025-10-31 17:04:04,093 ERROR: Encountered non-finite generator loss at iter 5794; skipping update. +2025-10-31 17:04:04,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:04,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:04,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=18.11, mean=-0.2682, std=2.964, absmax=18.11 +2025-10-31 17:04:04,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.791, max=10.03, mean=-0.2967, std=2.379, absmax=10.03 +2025-10-31 17:04:04,598 ERROR: Encountered non-finite generator loss at iter 5795; skipping update. +2025-10-31 17:04:04,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:04,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:04,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:04,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:04,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.28, mean=-0.1899, std=2.892, absmax=12.28 +2025-10-31 17:04:04,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.965, max=9.604, mean=-0.1398, std=2.418, absmax=9.965 +2025-10-31 17:04:05,100 ERROR: Encountered non-finite generator loss at iter 5796; skipping update. +2025-10-31 17:04:05,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:05,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:05,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12, mean=-0.0786, std=2.679, absmax=12.16 +2025-10-31 17:04:05,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.156, max=9, mean=-0.02929, std=2.208, absmax=9 +2025-10-31 17:04:05,603 ERROR: Encountered non-finite generator loss at iter 5797; skipping update. +2025-10-31 17:04:05,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:05,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:05,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:05,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:05,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.08, max=12.84, mean=-0.178, std=2.471, absmax=12.84 +2025-10-31 17:04:05,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.521, max=11.91, mean=-0.1583, std=2.319, absmax=11.91 +2025-10-31 17:04:06,104 ERROR: Encountered non-finite generator loss at iter 5798; skipping update. +2025-10-31 17:04:06,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:06,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:06,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.53, mean=-0.2491, std=2.711, absmax=14.53 +2025-10-31 17:04:06,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.907, max=9.775, mean=-0.1888, std=2.198, absmax=9.907 +2025-10-31 17:04:06,608 ERROR: Encountered non-finite generator loss at iter 5799; skipping update. +2025-10-31 17:04:06,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:06,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:06,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:06,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:06,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.14, mean=0.1661, std=3.386, absmax=14.14 +2025-10-31 17:04:06,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.063, max=11.87, mean=0.05741, std=2.714, absmax=11.87 +2025-10-31 17:04:07,109 ERROR: Encountered non-finite generator loss at iter 5800; skipping update. +2025-10-31 17:04:07,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:07,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:07,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.12, mean=-0.2254, std=2.7, absmax=15.12 +2025-10-31 17:04:07,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.7, mean=-0.2293, std=2.364, absmax=10.7 +2025-10-31 17:04:07,120 INFO: [29..][epoch: 0, step: 5,800, lr:(1.500e-04,)] [eta: 1 day, 18:10:13, time (data): 0.503 (0.000)] +2025-10-31 17:04:07,612 ERROR: Encountered non-finite generator loss at iter 5801; skipping update. +2025-10-31 17:04:07,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,615 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:07,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:07,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:07,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:07,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.69, mean=-0.2256, std=3.23, absmax=13.86 +2025-10-31 17:04:07,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=8.622, mean=-0.225, std=2.525, absmax=11.66 +2025-10-31 17:04:08,113 ERROR: Encountered non-finite generator loss at iter 5802; skipping update. +2025-10-31 17:04:08,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:08,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:08,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=12.67, mean=-0.1852, std=2.969, absmax=13.86 +2025-10-31 17:04:08,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=11.98, mean=-0.1728, std=2.595, absmax=11.98 +2025-10-31 17:04:08,615 ERROR: Encountered non-finite generator loss at iter 5803; skipping update. +2025-10-31 17:04:08,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:08,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:08,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:08,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:08,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=10.86, mean=-0.3908, std=2.816, absmax=12.71 +2025-10-31 17:04:08,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=7.462, mean=-0.3574, std=2.345, absmax=10.86 +2025-10-31 17:04:09,117 ERROR: Encountered non-finite generator loss at iter 5804; skipping update. +2025-10-31 17:04:09,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:09,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:09,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=14.89, mean=-0.1334, std=2.351, absmax=14.89 +2025-10-31 17:04:09,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=9.235, mean=-0.178, std=1.979, absmax=9.235 +2025-10-31 17:04:09,620 ERROR: Encountered non-finite generator loss at iter 5805; skipping update. +2025-10-31 17:04:09,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:09,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:09,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:09,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:09,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=11.66, mean=-0.296, std=2.528, absmax=11.66 +2025-10-31 17:04:09,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.191, max=9.906, mean=-0.2769, std=2.077, absmax=9.906 +2025-10-31 17:04:10,123 ERROR: Encountered non-finite generator loss at iter 5806; skipping update. +2025-10-31 17:04:10,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:10,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:10,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.54, mean=-0.1856, std=3.223, absmax=13.44 +2025-10-31 17:04:10,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.83, mean=-0.1819, std=2.757, absmax=10.95 +2025-10-31 17:04:10,624 ERROR: Encountered non-finite generator loss at iter 5807; skipping update. +2025-10-31 17:04:10,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:10,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:10,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:10,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:10,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=17.31, mean=-0.3208, std=3.254, absmax=17.31 +2025-10-31 17:04:10,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=12.05, mean=-0.3235, std=2.672, absmax=12.05 +2025-10-31 17:04:11,126 ERROR: Encountered non-finite generator loss at iter 5808; skipping update. +2025-10-31 17:04:11,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:11,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:11,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.13, mean=-0.2695, std=2.995, absmax=12.49 +2025-10-31 17:04:11,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.744, max=8.541, mean=-0.2239, std=2.461, absmax=9.744 +2025-10-31 17:04:11,629 ERROR: Encountered non-finite generator loss at iter 5809; skipping update. +2025-10-31 17:04:11,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:11,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:11,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:11,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:11,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=12.5, mean=-0.1475, std=2.482, absmax=12.5 +2025-10-31 17:04:11,637 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.149, max=9.934, mean=-0.1295, std=2.118, absmax=9.934 +2025-10-31 17:04:12,128 ERROR: Encountered non-finite generator loss at iter 5810; skipping update. +2025-10-31 17:04:12,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:12,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:12,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.69, mean=-0.168, std=3.24, absmax=14.65 +2025-10-31 17:04:12,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.332, mean=-0.139, std=2.715, absmax=11.33 +2025-10-31 17:04:12,630 ERROR: Encountered non-finite generator loss at iter 5811; skipping update. +2025-10-31 17:04:12,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:12,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:12,637 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:12,638 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:12,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=10.89, mean=-0.2901, std=2.802, absmax=13.99 +2025-10-31 17:04:12,640 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.838, mean=-0.2865, std=2.402, absmax=10.77 +2025-10-31 17:04:13,131 ERROR: Encountered non-finite generator loss at iter 5812; skipping update. +2025-10-31 17:04:13,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,136 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,137 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,138 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,139 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:13,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:13,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.06, mean=-0.2875, std=3.213, absmax=14.08 +2025-10-31 17:04:13,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.43, max=8.636, mean=-0.2694, std=2.596, absmax=12.43 +2025-10-31 17:04:13,632 ERROR: Encountered non-finite generator loss at iter 5813; skipping update. +2025-10-31 17:04:13,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:13,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:13,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:13,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:13,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=13.05, mean=-0.06389, std=3.456, absmax=14.49 +2025-10-31 17:04:13,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=12.77, mean=-0.1288, std=3.036, absmax=12.77 +2025-10-31 17:04:14,134 ERROR: Encountered non-finite generator loss at iter 5814; skipping update. +2025-10-31 17:04:14,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:14,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:14,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.33, mean=-0.1788, std=2.742, absmax=13.33 +2025-10-31 17:04:14,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=11.53, mean=-0.08795, std=2.511, absmax=11.53 +2025-10-31 17:04:14,635 ERROR: Encountered non-finite generator loss at iter 5815; skipping update. +2025-10-31 17:04:14,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:14,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:14,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:14,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:14,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.93, mean=-0.2729, std=3.102, absmax=13.35 +2025-10-31 17:04:14,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=11.25, mean=-0.2003, std=2.612, absmax=11.25 +2025-10-31 17:04:15,137 ERROR: Encountered non-finite generator loss at iter 5816; skipping update. +2025-10-31 17:04:15,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:15,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:15,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.65, mean=-0.1849, std=2.884, absmax=12.65 +2025-10-31 17:04:15,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.09, mean=-0.195, std=2.482, absmax=11.09 +2025-10-31 17:04:15,638 ERROR: Encountered non-finite generator loss at iter 5817; skipping update. +2025-10-31 17:04:15,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:15,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:15,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:15,646 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:15,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=16.87, mean=-0.2253, std=3.333, absmax=16.87 +2025-10-31 17:04:15,648 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=8.936, mean=-0.2166, std=2.674, absmax=11.24 +2025-10-31 17:04:16,140 ERROR: Encountered non-finite generator loss at iter 5818; skipping update. +2025-10-31 17:04:16,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:16,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:16,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.19, mean=-0.06842, std=2.815, absmax=13.19 +2025-10-31 17:04:16,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=8.933, mean=-0.03628, std=2.451, absmax=11.22 +2025-10-31 17:04:16,641 ERROR: Encountered non-finite generator loss at iter 5819; skipping update. +2025-10-31 17:04:16,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,645 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:16,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:16,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:16,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:16,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=16.28, mean=-0.1131, std=2.971, absmax=16.28 +2025-10-31 17:04:16,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=12.89, mean=-0.1166, std=2.463, absmax=12.89 +2025-10-31 17:04:17,143 ERROR: Encountered non-finite generator loss at iter 5820; skipping update. +2025-10-31 17:04:17,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:17,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:17,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.25, mean=-0.3004, std=3.309, absmax=13.61 +2025-10-31 17:04:17,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.148, mean=-0.2744, std=2.668, absmax=10.23 +2025-10-31 17:04:17,645 ERROR: Encountered non-finite generator loss at iter 5821; skipping update. +2025-10-31 17:04:17,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:17,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:17,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:17,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:17,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.53, mean=-0.3128, std=3.723, absmax=14.04 +2025-10-31 17:04:17,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.96, max=10.18, mean=-0.2841, std=3.319, absmax=12.96 +2025-10-31 17:04:18,145 ERROR: Encountered non-finite generator loss at iter 5822; skipping update. +2025-10-31 17:04:18,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:18,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:18,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=14.92, mean=-0.1572, std=2.772, absmax=14.92 +2025-10-31 17:04:18,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.422, max=9.956, mean=-0.1892, std=2.429, absmax=9.956 +2025-10-31 17:04:18,647 ERROR: Encountered non-finite generator loss at iter 5823; skipping update. +2025-10-31 17:04:18,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:18,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:18,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:18,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:18,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=14.65, mean=0.04965, std=2.743, absmax=14.65 +2025-10-31 17:04:18,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.63, mean=0.04258, std=2.324, absmax=10.63 +2025-10-31 17:04:19,148 ERROR: Encountered non-finite generator loss at iter 5824; skipping update. +2025-10-31 17:04:19,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:19,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:19,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=13.12, mean=0.03256, std=3.323, absmax=14.21 +2025-10-31 17:04:19,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.87, mean=-0.02039, std=2.855, absmax=10.87 +2025-10-31 17:04:19,649 ERROR: Encountered non-finite generator loss at iter 5825; skipping update. +2025-10-31 17:04:19,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,651 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:19,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:19,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:19,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:19,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.5, mean=0.02692, std=2.943, absmax=13.5 +2025-10-31 17:04:19,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.09, mean=-0.01043, std=2.452, absmax=10.9 +2025-10-31 17:04:20,150 ERROR: Encountered non-finite generator loss at iter 5826; skipping update. +2025-10-31 17:04:20,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:20,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:20,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.52, mean=-0.2193, std=3.049, absmax=13.52 +2025-10-31 17:04:20,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.24, mean=-0.2314, std=2.617, absmax=10.24 +2025-10-31 17:04:20,652 ERROR: Encountered non-finite generator loss at iter 5827; skipping update. +2025-10-31 17:04:20,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:20,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:20,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:20,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:20,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.87, mean=-0.2488, std=3.404, absmax=13.87 +2025-10-31 17:04:20,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=10.46, mean=-0.2479, std=2.705, absmax=10.84 +2025-10-31 17:04:21,153 ERROR: Encountered non-finite generator loss at iter 5828; skipping update. +2025-10-31 17:04:21,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:21,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:21,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.04, mean=-0.03746, std=3.065, absmax=14.04 +2025-10-31 17:04:21,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.99, max=10.16, mean=-0.07247, std=2.56, absmax=10.16 +2025-10-31 17:04:21,653 ERROR: Encountered non-finite generator loss at iter 5829; skipping update. +2025-10-31 17:04:21,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:21,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:21,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:21,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:21,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=17.47, mean=-0.1722, std=3.099, absmax=17.47 +2025-10-31 17:04:21,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.364, mean=-0.1741, std=2.53, absmax=10 +2025-10-31 17:04:22,156 ERROR: Encountered non-finite generator loss at iter 5830; skipping update. +2025-10-31 17:04:22,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,160 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,163 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:22,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:22,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.63, mean=-0.07172, std=2.987, absmax=11.76 +2025-10-31 17:04:22,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.518, max=8.841, mean=-0.1268, std=2.427, absmax=8.841 +2025-10-31 17:04:22,660 ERROR: Encountered non-finite generator loss at iter 5831; skipping update. +2025-10-31 17:04:22,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:22,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:22,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:22,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:22,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.92, mean=-0.01013, std=2.678, absmax=13.92 +2025-10-31 17:04:22,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=14.54, mean=-0.01373, std=2.447, absmax=14.54 +2025-10-31 17:04:23,163 ERROR: Encountered non-finite generator loss at iter 5832; skipping update. +2025-10-31 17:04:23,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:23,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:23,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.26, mean=-0.3221, std=2.987, absmax=13 +2025-10-31 17:04:23,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=7.847, mean=-0.2838, std=2.413, absmax=10.84 +2025-10-31 17:04:23,666 ERROR: Encountered non-finite generator loss at iter 5833; skipping update. +2025-10-31 17:04:23,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:23,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:23,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:23,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:23,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=11.51, mean=-0.2407, std=2.669, absmax=14.12 +2025-10-31 17:04:23,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=7.468, mean=-0.2302, std=2.159, absmax=12.11 +2025-10-31 17:04:24,168 ERROR: Encountered non-finite generator loss at iter 5834; skipping update. +2025-10-31 17:04:24,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:24,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:24,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=14.13, mean=-0.1187, std=2.651, absmax=14.13 +2025-10-31 17:04:24,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=9.324, mean=-0.1462, std=2.255, absmax=9.85 +2025-10-31 17:04:24,673 ERROR: Encountered non-finite generator loss at iter 5835; skipping update. +2025-10-31 17:04:24,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:24,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:24,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:24,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:24,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.57, mean=-0.3252, std=2.7, absmax=11.6 +2025-10-31 17:04:24,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=8.197, mean=-0.3403, std=2.385, absmax=9.85 +2025-10-31 17:04:25,175 ERROR: Encountered non-finite generator loss at iter 5836; skipping update. +2025-10-31 17:04:25,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:25,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:25,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=11.21, mean=-0.1628, std=2.647, absmax=12.15 +2025-10-31 17:04:25,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.977, mean=-0.1484, std=2.148, absmax=10.34 +2025-10-31 17:04:25,680 ERROR: Encountered non-finite generator loss at iter 5837; skipping update. +2025-10-31 17:04:25,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,682 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:25,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:25,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:25,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:25,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.85, mean=-0.1285, std=3.206, absmax=13.85 +2025-10-31 17:04:25,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=12, mean=-0.1945, std=2.804, absmax=12 +2025-10-31 17:04:26,182 ERROR: Encountered non-finite generator loss at iter 5838; skipping update. +2025-10-31 17:04:26,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:26,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:26,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.35, mean=-0.05713, std=3.364, absmax=14.17 +2025-10-31 17:04:26,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.719, max=9.651, mean=-0.07902, std=2.696, absmax=9.719 +2025-10-31 17:04:26,690 ERROR: Encountered non-finite generator loss at iter 5839; skipping update. +2025-10-31 17:04:26,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:26,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:26,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:26,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:26,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=16.14, mean=-0.08633, std=3.022, absmax=16.14 +2025-10-31 17:04:26,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.178, max=9.616, mean=-0.1059, std=2.508, absmax=9.616 +2025-10-31 17:04:27,192 ERROR: Encountered non-finite generator loss at iter 5840; skipping update. +2025-10-31 17:04:27,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:27,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:27,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=17.67, mean=-0.2762, std=2.87, absmax=17.67 +2025-10-31 17:04:27,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.364, max=8.981, mean=-0.2356, std=2.368, absmax=9.364 +2025-10-31 17:04:27,692 ERROR: Encountered non-finite generator loss at iter 5841; skipping update. +2025-10-31 17:04:27,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:27,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:27,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:27,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:27,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13, mean=-0.1692, std=3.004, absmax=13 +2025-10-31 17:04:27,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.17, mean=-0.1516, std=2.601, absmax=11.17 +2025-10-31 17:04:28,194 ERROR: Encountered non-finite generator loss at iter 5842; skipping update. +2025-10-31 17:04:28,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,197 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,198 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,199 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:28,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:28,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=11.69, mean=-0.1468, std=2.446, absmax=11.77 +2025-10-31 17:04:28,204 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.578, max=7.901, mean=-0.1605, std=2.091, absmax=9.578 +2025-10-31 17:04:28,699 ERROR: Encountered non-finite generator loss at iter 5843; skipping update. +2025-10-31 17:04:28,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:28,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:28,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:28,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:28,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=12.48, mean=-0.2092, std=3.188, absmax=15.03 +2025-10-31 17:04:28,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=10.43, mean=-0.2541, std=2.711, absmax=12.4 +2025-10-31 17:04:29,202 ERROR: Encountered non-finite generator loss at iter 5844; skipping update. +2025-10-31 17:04:29,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:29,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:29,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=15.29, mean=0.01432, std=3.066, absmax=15.29 +2025-10-31 17:04:29,216 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.283, max=10.52, mean=0.01011, std=2.489, absmax=10.52 +2025-10-31 17:04:29,710 ERROR: Encountered non-finite generator loss at iter 5845; skipping update. +2025-10-31 17:04:29,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:29,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:29,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:29,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:29,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.04, mean=-0.1456, std=3.048, absmax=14.04 +2025-10-31 17:04:29,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.801, max=8.779, mean=-0.1873, std=2.532, absmax=9.801 +2025-10-31 17:04:30,212 ERROR: Encountered non-finite generator loss at iter 5846; skipping update. +2025-10-31 17:04:30,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:30,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:30,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=17.69, mean=-0.2715, std=3.428, absmax=17.69 +2025-10-31 17:04:30,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=15.46, mean=-0.2401, std=2.812, absmax=15.46 +2025-10-31 17:04:30,715 ERROR: Encountered non-finite generator loss at iter 5847; skipping update. +2025-10-31 17:04:30,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:30,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:30,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:30,724 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:30,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.53, max=12.03, mean=-0.1655, std=3.889, absmax=17.53 +2025-10-31 17:04:30,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.23, max=10.79, mean=-0.1211, std=3.373, absmax=14.23 +2025-10-31 17:04:31,221 ERROR: Encountered non-finite generator loss at iter 5848; skipping update. +2025-10-31 17:04:31,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:31,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:31,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.12, mean=-0.1202, std=2.595, absmax=12.27 +2025-10-31 17:04:31,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.02, max=8.974, mean=-0.1254, std=2.224, absmax=9.02 +2025-10-31 17:04:31,727 ERROR: Encountered non-finite generator loss at iter 5849; skipping update. +2025-10-31 17:04:31,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:31,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:31,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:31,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:31,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=9.91, mean=-0.3102, std=2.518, absmax=13.14 +2025-10-31 17:04:31,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.787, max=7.823, mean=-0.2925, std=2.114, absmax=8.787 +2025-10-31 17:04:32,236 ERROR: Encountered non-finite generator loss at iter 5850; skipping update. +2025-10-31 17:04:32,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:32,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:32,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.53, mean=-0.2768, std=2.566, absmax=12.4 +2025-10-31 17:04:32,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.479, mean=-0.2746, std=2.072, absmax=10.1 +2025-10-31 17:04:32,742 ERROR: Encountered non-finite generator loss at iter 5851; skipping update. +2025-10-31 17:04:32,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:32,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:32,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:32,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:32,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.47, max=15.17, mean=0.01038, std=3.166, absmax=18.47 +2025-10-31 17:04:32,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.54, max=10.53, mean=-0.02566, std=2.569, absmax=13.54 +2025-10-31 17:04:33,246 ERROR: Encountered non-finite generator loss at iter 5852; skipping update. +2025-10-31 17:04:33,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:33,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:33,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.4, mean=-0.2433, std=2.561, absmax=12.4 +2025-10-31 17:04:33,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.958, max=9.364, mean=-0.2452, std=2.189, absmax=9.958 +2025-10-31 17:04:33,756 ERROR: Encountered non-finite generator loss at iter 5853; skipping update. +2025-10-31 17:04:33,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:33,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:33,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:33,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:33,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.9, mean=-0.3486, std=3.074, absmax=12.37 +2025-10-31 17:04:33,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.784, mean=-0.3255, std=2.609, absmax=10.17 +2025-10-31 17:04:34,262 ERROR: Encountered non-finite generator loss at iter 5854; skipping update. +2025-10-31 17:04:34,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:34,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:34,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=13.4, mean=-0.03854, std=2.885, absmax=13.4 +2025-10-31 17:04:34,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.507, max=12.14, mean=-0.006482, std=2.609, absmax=12.14 +2025-10-31 17:04:34,770 ERROR: Encountered non-finite generator loss at iter 5855; skipping update. +2025-10-31 17:04:34,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:34,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:34,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:34,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:34,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.45, max=10.49, mean=-0.1127, std=2.489, absmax=10.49 +2025-10-31 17:04:34,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.709, max=7.526, mean=-0.108, std=2.194, absmax=9.709 +2025-10-31 17:04:35,276 ERROR: Encountered non-finite generator loss at iter 5856; skipping update. +2025-10-31 17:04:35,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:35,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:35,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.78, mean=0.1842, std=3.447, absmax=13.78 +2025-10-31 17:04:35,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.532, max=11.55, mean=0.1673, std=2.949, absmax=11.55 +2025-10-31 17:04:35,783 ERROR: Encountered non-finite generator loss at iter 5857; skipping update. +2025-10-31 17:04:35,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:35,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:35,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:35,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:35,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.72, mean=-0.0926, std=3.214, absmax=14.72 +2025-10-31 17:04:35,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=12.73, mean=-0.1357, std=2.929, absmax=12.73 +2025-10-31 17:04:36,288 ERROR: Encountered non-finite generator loss at iter 5858; skipping update. +2025-10-31 17:04:36,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:36,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:36,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=18.74, mean=-0.1399, std=3.71, absmax=18.74 +2025-10-31 17:04:36,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=13.83, mean=-0.13, std=3.001, absmax=13.83 +2025-10-31 17:04:36,793 ERROR: Encountered non-finite generator loss at iter 5859; skipping update. +2025-10-31 17:04:36,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,796 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:36,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:36,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:36,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:36,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.49, mean=0.0009, std=2.892, absmax=14.49 +2025-10-31 17:04:36,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.73, max=9.997, mean=-0.003116, std=2.422, absmax=9.997 +2025-10-31 17:04:37,296 ERROR: Encountered non-finite generator loss at iter 5860; skipping update. +2025-10-31 17:04:37,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:37,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:37,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=10.52, mean=-0.126, std=2.367, absmax=11.4 +2025-10-31 17:04:37,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.302, max=8.385, mean=-0.1581, std=2.019, absmax=8.385 +2025-10-31 17:04:37,802 ERROR: Encountered non-finite generator loss at iter 5861; skipping update. +2025-10-31 17:04:37,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:37,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:37,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:37,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:37,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.75, mean=-0.2395, std=3.041, absmax=12.46 +2025-10-31 17:04:37,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.337, max=8.793, mean=-0.228, std=2.607, absmax=9.337 +2025-10-31 17:04:38,307 ERROR: Encountered non-finite generator loss at iter 5862; skipping update. +2025-10-31 17:04:38,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:38,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:38,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.07, mean=-0.04312, std=3.055, absmax=14.07 +2025-10-31 17:04:38,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=11.99, mean=-0.03607, std=2.559, absmax=11.99 +2025-10-31 17:04:38,813 ERROR: Encountered non-finite generator loss at iter 5863; skipping update. +2025-10-31 17:04:38,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:38,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:38,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:38,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:38,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.59, mean=-0.3591, std=3.505, absmax=14.15 +2025-10-31 17:04:38,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.54, max=11.32, mean=-0.2834, std=2.907, absmax=13.54 +2025-10-31 17:04:39,315 ERROR: Encountered non-finite generator loss at iter 5864; skipping update. +2025-10-31 17:04:39,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:39,320 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:39,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.21, max=14.55, mean=0.007822, std=3.469, absmax=16.21 +2025-10-31 17:04:39,322 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.62, max=11.6, mean=0.004838, std=2.796, absmax=13.62 +2025-10-31 17:04:39,817 ERROR: Encountered non-finite generator loss at iter 5865; skipping update. +2025-10-31 17:04:39,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:39,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:39,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:39,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:39,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.39, mean=-0.3354, std=2.925, absmax=12.18 +2025-10-31 17:04:39,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.587, mean=-0.3125, std=2.509, absmax=10.63 +2025-10-31 17:04:40,323 ERROR: Encountered non-finite generator loss at iter 5866; skipping update. +2025-10-31 17:04:40,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:40,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:40,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.5, mean=0.1297, std=3.903, absmax=14.5 +2025-10-31 17:04:40,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=13.69, mean=0.0811, std=3.347, absmax=13.69 +2025-10-31 17:04:40,829 ERROR: Encountered non-finite generator loss at iter 5867; skipping update. +2025-10-31 17:04:40,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:40,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:40,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:40,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:40,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.26, mean=-0.2239, std=2.636, absmax=11.88 +2025-10-31 17:04:40,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.482, max=9.098, mean=-0.2299, std=2.191, absmax=9.482 +2025-10-31 17:04:41,331 ERROR: Encountered non-finite generator loss at iter 5868; skipping update. +2025-10-31 17:04:41,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,337 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:41,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:41,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=15.41, mean=-0.08227, std=3.699, absmax=15.41 +2025-10-31 17:04:41,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.932, max=12.93, mean=-0.07002, std=3.054, absmax=12.93 +2025-10-31 17:04:41,834 ERROR: Encountered non-finite generator loss at iter 5869; skipping update. +2025-10-31 17:04:41,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:41,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:41,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:41,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:41,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=10.94, mean=-0.02333, std=2.714, absmax=12.79 +2025-10-31 17:04:41,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.978, mean=-0.03837, std=2.225, absmax=10.55 +2025-10-31 17:04:42,337 ERROR: Encountered non-finite generator loss at iter 5870; skipping update. +2025-10-31 17:04:42,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:42,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:42,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.13, mean=-0.1249, std=3.121, absmax=13.13 +2025-10-31 17:04:42,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.42, mean=-0.1332, std=2.669, absmax=10.42 +2025-10-31 17:04:42,840 ERROR: Encountered non-finite generator loss at iter 5871; skipping update. +2025-10-31 17:04:42,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:42,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:42,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:42,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:42,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.77, mean=-0.1117, std=2.938, absmax=12.77 +2025-10-31 17:04:42,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.05, mean=-0.07521, std=2.447, absmax=10.91 +2025-10-31 17:04:43,341 ERROR: Encountered non-finite generator loss at iter 5872; skipping update. +2025-10-31 17:04:43,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:43,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:43,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.29, mean=-0.3461, std=3.208, absmax=14.04 +2025-10-31 17:04:43,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11, mean=-0.3479, std=2.768, absmax=11 +2025-10-31 17:04:43,845 ERROR: Encountered non-finite generator loss at iter 5873; skipping update. +2025-10-31 17:04:43,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:43,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:43,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:43,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:43,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.73, mean=-0.2084, std=2.809, absmax=12.73 +2025-10-31 17:04:43,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.285, max=9.265, mean=-0.2786, std=2.373, absmax=9.285 +2025-10-31 17:04:44,346 ERROR: Encountered non-finite generator loss at iter 5874; skipping update. +2025-10-31 17:04:44,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:44,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:44,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.46, mean=-0.2487, std=3.209, absmax=13.46 +2025-10-31 17:04:44,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.246, mean=-0.2514, std=2.611, absmax=11 +2025-10-31 17:04:44,846 ERROR: Encountered non-finite generator loss at iter 5875; skipping update. +2025-10-31 17:04:44,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:44,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:44,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:44,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:44,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.98, mean=-0.1644, std=2.678, absmax=12.98 +2025-10-31 17:04:44,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.225, max=9.815, mean=-0.1302, std=2.244, absmax=9.815 +2025-10-31 17:04:45,347 ERROR: Encountered non-finite generator loss at iter 5876; skipping update. +2025-10-31 17:04:45,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:45,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:45,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=10.5, mean=-0.2378, std=2.445, absmax=10.82 +2025-10-31 17:04:45,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.6, max=7.385, mean=-0.2245, std=2.087, absmax=9.6 +2025-10-31 17:04:45,849 ERROR: Encountered non-finite generator loss at iter 5877; skipping update. +2025-10-31 17:04:45,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:45,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:45,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:45,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:45,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.544, max=10.71, mean=-0.2045, std=2.421, absmax=10.71 +2025-10-31 17:04:45,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.198, max=8.415, mean=-0.228, std=2.099, absmax=8.415 +2025-10-31 17:04:46,350 ERROR: Encountered non-finite generator loss at iter 5878; skipping update. +2025-10-31 17:04:46,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,352 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:46,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:46,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.48, mean=-0.1114, std=3.226, absmax=14.74 +2025-10-31 17:04:46,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=10.66, mean=-0.155, std=2.654, absmax=12 +2025-10-31 17:04:46,853 ERROR: Encountered non-finite generator loss at iter 5879; skipping update. +2025-10-31 17:04:46,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:46,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:46,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:46,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:46,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.94, mean=-0.2552, std=2.955, absmax=12.94 +2025-10-31 17:04:46,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.543, mean=-0.2435, std=2.616, absmax=10.55 +2025-10-31 17:04:47,359 ERROR: Encountered non-finite generator loss at iter 5880; skipping update. +2025-10-31 17:04:47,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,361 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:47,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:47,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.19, mean=-0.2522, std=3.609, absmax=13.41 +2025-10-31 17:04:47,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=9.959, mean=-0.201, std=3.335, absmax=12.81 +2025-10-31 17:04:47,862 ERROR: Encountered non-finite generator loss at iter 5881; skipping update. +2025-10-31 17:04:47,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:47,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:47,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:47,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:47,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.76, mean=-0.2664, std=3.387, absmax=14.76 +2025-10-31 17:04:47,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=14.53, mean=-0.3089, std=3.022, absmax=14.53 +2025-10-31 17:04:48,367 ERROR: Encountered non-finite generator loss at iter 5882; skipping update. +2025-10-31 17:04:48,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:48,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:48,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=16.06, mean=0.005699, std=3.17, absmax=16.06 +2025-10-31 17:04:48,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=13.2, mean=-0.01112, std=2.717, absmax=13.2 +2025-10-31 17:04:48,867 ERROR: Encountered non-finite generator loss at iter 5883; skipping update. +2025-10-31 17:04:48,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:48,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:48,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:48,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:48,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=20, mean=-0.09823, std=2.971, absmax=20 +2025-10-31 17:04:48,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.34, mean=-0.06865, std=2.56, absmax=11.34 +2025-10-31 17:04:49,370 ERROR: Encountered non-finite generator loss at iter 5884; skipping update. +2025-10-31 17:04:49,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:49,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:49,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.14, mean=-0.04755, std=2.976, absmax=13.14 +2025-10-31 17:04:49,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=10.97, mean=-0.0568, std=2.468, absmax=10.97 +2025-10-31 17:04:49,873 ERROR: Encountered non-finite generator loss at iter 5885; skipping update. +2025-10-31 17:04:49,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:49,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:49,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:49,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:49,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=10.79, mean=-0.2039, std=2.796, absmax=12.18 +2025-10-31 17:04:49,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.982, mean=-0.1906, std=2.392, absmax=10.52 +2025-10-31 17:04:50,378 ERROR: Encountered non-finite generator loss at iter 5886; skipping update. +2025-10-31 17:04:50,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:50,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:50,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=14.37, mean=0.0194, std=3.416, absmax=14.37 +2025-10-31 17:04:50,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.847, max=11.71, mean=0.02315, std=2.782, absmax=11.71 +2025-10-31 17:04:50,881 ERROR: Encountered non-finite generator loss at iter 5887; skipping update. +2025-10-31 17:04:50,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:50,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:50,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:50,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:50,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.2, mean=-0.2989, std=2.826, absmax=13.5 +2025-10-31 17:04:50,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.47, mean=-0.3209, std=2.476, absmax=11.07 +2025-10-31 17:04:51,385 ERROR: Encountered non-finite generator loss at iter 5888; skipping update. +2025-10-31 17:04:51,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:51,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:51,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.25, mean=0.01717, std=3.587, absmax=14.25 +2025-10-31 17:04:51,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.997, max=12.49, mean=0.05974, std=3.022, absmax=12.49 +2025-10-31 17:04:51,888 ERROR: Encountered non-finite generator loss at iter 5889; skipping update. +2025-10-31 17:04:51,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,892 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,893 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:51,894 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:51,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:51,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:51,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.43, mean=-0.1226, std=3.192, absmax=14.43 +2025-10-31 17:04:51,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=12.03, mean=-0.1607, std=2.519, absmax=12.03 +2025-10-31 17:04:52,392 ERROR: Encountered non-finite generator loss at iter 5890; skipping update. +2025-10-31 17:04:52,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:52,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:52,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.15, mean=-0.3434, std=3.73, absmax=14.44 +2025-10-31 17:04:52,401 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.23, mean=-0.2879, std=3.043, absmax=11.63 +2025-10-31 17:04:52,896 ERROR: Encountered non-finite generator loss at iter 5891; skipping update. +2025-10-31 17:04:52,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:52,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:52,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:52,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:52,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.03, mean=-0.2279, std=2.805, absmax=13.03 +2025-10-31 17:04:52,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=11.46, mean=-0.2105, std=2.391, absmax=11.46 +2025-10-31 17:04:53,402 ERROR: Encountered non-finite generator loss at iter 5892; skipping update. +2025-10-31 17:04:53,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:53,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:53,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.39, mean=-0.02561, std=2.73, absmax=13.39 +2025-10-31 17:04:53,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=10.22, mean=-0.03344, std=2.331, absmax=10.22 +2025-10-31 17:04:53,908 ERROR: Encountered non-finite generator loss at iter 5893; skipping update. +2025-10-31 17:04:53,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,912 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:53,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:53,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:53,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:53,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.12, mean=-0.3093, std=2.939, absmax=13.06 +2025-10-31 17:04:53,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.848, mean=-0.2711, std=2.549, absmax=10.33 +2025-10-31 17:04:54,413 ERROR: Encountered non-finite generator loss at iter 5894; skipping update. +2025-10-31 17:04:54,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,416 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,419 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:54,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:54,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.22, mean=-0.3027, std=2.79, absmax=12.48 +2025-10-31 17:04:54,424 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=8.687, mean=-0.3178, std=2.274, absmax=10.18 +2025-10-31 17:04:54,919 ERROR: Encountered non-finite generator loss at iter 5895; skipping update. +2025-10-31 17:04:54,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:54,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:54,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:54,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:54,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.05, mean=-0.2365, std=3.117, absmax=13.05 +2025-10-31 17:04:54,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=8.977, mean=-0.2812, std=2.753, absmax=10.21 +2025-10-31 17:04:55,424 ERROR: Encountered non-finite generator loss at iter 5896; skipping update. +2025-10-31 17:04:55,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:55,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:55,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.99, mean=-0.2071, std=3.447, absmax=13.55 +2025-10-31 17:04:55,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=11.79, mean=-0.1653, std=2.958, absmax=12.78 +2025-10-31 17:04:55,929 ERROR: Encountered non-finite generator loss at iter 5897; skipping update. +2025-10-31 17:04:55,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:55,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:55,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:55,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:55,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=9.728, mean=-0.227, std=2.404, absmax=10.74 +2025-10-31 17:04:55,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.441, max=8.783, mean=-0.1948, std=2.121, absmax=9.441 +2025-10-31 17:04:56,443 ERROR: Encountered non-finite generator loss at iter 5898; skipping update. +2025-10-31 17:04:56,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:56,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:56,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=10.44, mean=-0.2874, std=2.904, absmax=13.59 +2025-10-31 17:04:56,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=7.434, mean=-0.2474, std=2.293, absmax=9.63 +2025-10-31 17:04:56,947 ERROR: Encountered non-finite generator loss at iter 5899; skipping update. +2025-10-31 17:04:56,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:56,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:56,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:56,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:56,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=13.25, mean=0.009992, std=3.568, absmax=15.52 +2025-10-31 17:04:56,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=11.35, mean=-0.003746, std=3.025, absmax=11.92 +2025-10-31 17:04:57,451 ERROR: Encountered non-finite generator loss at iter 5900; skipping update. +2025-10-31 17:04:57,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:57,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:57,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.06, mean=-0.3264, std=3.094, absmax=13.06 +2025-10-31 17:04:57,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=9.236, mean=-0.3265, std=2.716, absmax=12.36 +2025-10-31 17:04:57,461 INFO: [29..][epoch: 0, step: 5,900, lr:(1.500e-04,)] [eta: 1 day, 18:01:01, time (data): 0.504 (0.000)] +2025-10-31 17:04:57,954 ERROR: Encountered non-finite generator loss at iter 5901; skipping update. +2025-10-31 17:04:57,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:57,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:57,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:57,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:57,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.72, mean=-0.02392, std=3.099, absmax=13.72 +2025-10-31 17:04:57,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.191, max=10.18, mean=-0.05236, std=2.49, absmax=10.18 +2025-10-31 17:04:58,459 ERROR: Encountered non-finite generator loss at iter 5902; skipping update. +2025-10-31 17:04:58,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:58,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:58,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=13.18, mean=-0.08009, std=3.414, absmax=15.5 +2025-10-31 17:04:58,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=10.71, mean=-0.05966, std=2.861, absmax=10.8 +2025-10-31 17:04:58,964 ERROR: Encountered non-finite generator loss at iter 5903; skipping update. +2025-10-31 17:04:58,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:58,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:58,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:58,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:58,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.36, mean=-0.1585, std=2.76, absmax=13.36 +2025-10-31 17:04:58,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=9.349, mean=-0.08553, std=2.464, absmax=11.09 +2025-10-31 17:04:59,469 ERROR: Encountered non-finite generator loss at iter 5904; skipping update. +2025-10-31 17:04:59,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:59,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:59,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=10.5, mean=-0.2423, std=2.758, absmax=12.63 +2025-10-31 17:04:59,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.901, max=8.7, mean=-0.2203, std=2.322, absmax=9.901 +2025-10-31 17:04:59,973 ERROR: Encountered non-finite generator loss at iter 5905; skipping update. +2025-10-31 17:04:59,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:04:59,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:04:59,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:04:59,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:04:59,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.59, mean=-0.2532, std=3.169, absmax=13.65 +2025-10-31 17:04:59,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.447, mean=-0.199, std=2.586, absmax=10.6 +2025-10-31 17:05:00,475 ERROR: Encountered non-finite generator loss at iter 5906; skipping update. +2025-10-31 17:05:00,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:00,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:00,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.76, mean=-0.2936, std=2.628, absmax=13.23 +2025-10-31 17:05:00,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=9.042, mean=-0.2676, std=2.294, absmax=10.54 +2025-10-31 17:05:00,978 ERROR: Encountered non-finite generator loss at iter 5907; skipping update. +2025-10-31 17:05:00,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:00,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:00,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:00,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:00,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.93, mean=-0.0977, std=2.726, absmax=12.93 +2025-10-31 17:05:00,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.774, max=10.25, mean=-0.1076, std=2.298, absmax=10.25 +2025-10-31 17:05:01,482 ERROR: Encountered non-finite generator loss at iter 5908; skipping update. +2025-10-31 17:05:01,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:01,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:01,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.61, mean=0.02214, std=3.019, absmax=12.61 +2025-10-31 17:05:01,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.299, max=10.39, mean=-0.02507, std=2.65, absmax=10.39 +2025-10-31 17:05:01,988 ERROR: Encountered non-finite generator loss at iter 5909; skipping update. +2025-10-31 17:05:01,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:01,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:01,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:01,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:01,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.98, mean=0.04971, std=3.011, absmax=14.98 +2025-10-31 17:05:01,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.36, max=11.75, mean=0.0353, std=2.568, absmax=11.75 +2025-10-31 17:05:02,491 ERROR: Encountered non-finite generator loss at iter 5910; skipping update. +2025-10-31 17:05:02,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:02,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:02,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.74, mean=-0.1814, std=2.848, absmax=12.98 +2025-10-31 17:05:02,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.251, max=10.9, mean=-0.1618, std=2.46, absmax=10.9 +2025-10-31 17:05:02,992 ERROR: Encountered non-finite generator loss at iter 5911; skipping update. +2025-10-31 17:05:02,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,994 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:02,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:02,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:03,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:03,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.63, mean=-0.07948, std=3.41, absmax=13.63 +2025-10-31 17:05:03,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.558, max=10.92, mean=-0.1228, std=2.809, absmax=10.92 +2025-10-31 17:05:03,494 ERROR: Encountered non-finite generator loss at iter 5912; skipping update. +2025-10-31 17:05:03,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:03,497 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:03,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:03,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:03,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:03,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:03,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:03,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:03,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.6, mean=-0.3226, std=3.192, absmax=14.6 +2025-10-31 17:05:03,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.03, max=10.72, mean=-0.2588, std=2.725, absmax=13.03 +2025-10-31 17:05:03,996 ERROR: Encountered non-finite generator loss at iter 5913; skipping update. +2025-10-31 17:05:03,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:03,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:03,999 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:03,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:04,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:04,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:04,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:04,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:04,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=14.19, mean=-0.07091, std=3.514, absmax=14.2 +2025-10-31 17:05:04,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=10.23, mean=-0.03184, std=2.73, absmax=10.23 +2025-10-31 17:05:04,499 ERROR: Encountered non-finite generator loss at iter 5914; skipping update. +2025-10-31 17:05:04,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:04,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:04,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:04,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:04,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:04,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:04,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:04,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:04,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.59, mean=0.2155, std=3.739, absmax=14.59 +2025-10-31 17:05:04,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.839, max=12.64, mean=0.1602, std=3.116, absmax=12.64 +2025-10-31 17:05:05,001 ERROR: Encountered non-finite generator loss at iter 5915; skipping update. +2025-10-31 17:05:05,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:05,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:05,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.31, mean=-0.1072, std=3.144, absmax=13.45 +2025-10-31 17:05:05,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.23, mean=-0.1462, std=2.564, absmax=10.53 +2025-10-31 17:05:05,505 ERROR: Encountered non-finite generator loss at iter 5916; skipping update. +2025-10-31 17:05:05,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:05,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:05,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:05,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:05,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.14, mean=-0.116, std=2.99, absmax=14.14 +2025-10-31 17:05:05,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.38, mean=-0.1111, std=2.463, absmax=10.38 +2025-10-31 17:05:06,006 ERROR: Encountered non-finite generator loss at iter 5917; skipping update. +2025-10-31 17:05:06,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:06,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:06,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.1, mean=-0.1483, std=2.395, absmax=11.17 +2025-10-31 17:05:06,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.287, max=10.23, mean=-0.1267, std=2.077, absmax=10.23 +2025-10-31 17:05:06,508 ERROR: Encountered non-finite generator loss at iter 5918; skipping update. +2025-10-31 17:05:06,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:06,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:06,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:06,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:06,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.21, mean=-0.08486, std=3.156, absmax=14.21 +2025-10-31 17:05:06,516 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.7, mean=-0.05325, std=2.591, absmax=10.97 +2025-10-31 17:05:07,008 ERROR: Encountered non-finite generator loss at iter 5919; skipping update. +2025-10-31 17:05:07,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:07,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:07,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.55, mean=-0.2358, std=3.039, absmax=13.55 +2025-10-31 17:05:07,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.773, mean=-0.2616, std=2.647, absmax=10.52 +2025-10-31 17:05:07,510 ERROR: Encountered non-finite generator loss at iter 5920; skipping update. +2025-10-31 17:05:07,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:07,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:07,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:07,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:07,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.49, mean=-0.1358, std=2.833, absmax=13.49 +2025-10-31 17:05:07,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.576, max=9.378, mean=-0.1705, std=2.355, absmax=9.378 +2025-10-31 17:05:08,009 ERROR: Encountered non-finite generator loss at iter 5921; skipping update. +2025-10-31 17:05:08,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:08,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:08,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.27, mean=-0.1441, std=3.027, absmax=13.06 +2025-10-31 17:05:08,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.108, max=11.67, mean=-0.1195, std=2.614, absmax=11.67 +2025-10-31 17:05:08,510 ERROR: Encountered non-finite generator loss at iter 5922; skipping update. +2025-10-31 17:05:08,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:08,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:08,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:08,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:08,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.61, mean=-0.2714, std=3.087, absmax=13.25 +2025-10-31 17:05:08,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.189, mean=-0.2715, std=2.5, absmax=11.38 +2025-10-31 17:05:09,011 ERROR: Encountered non-finite generator loss at iter 5923; skipping update. +2025-10-31 17:05:09,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:09,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:09,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.08, mean=-0.2639, std=2.64, absmax=12.08 +2025-10-31 17:05:09,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.254, max=8.267, mean=-0.2394, std=2.19, absmax=9.254 +2025-10-31 17:05:09,510 ERROR: Encountered non-finite generator loss at iter 5924; skipping update. +2025-10-31 17:05:09,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:09,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:09,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:09,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:09,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.84, mean=-0.01598, std=3.23, absmax=13.84 +2025-10-31 17:05:09,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=12.84, mean=0.02191, std=2.755, absmax=12.84 +2025-10-31 17:05:10,012 ERROR: Encountered non-finite generator loss at iter 5925; skipping update. +2025-10-31 17:05:10,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,015 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,016 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,017 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,018 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:10,019 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:10,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.69, mean=-0.3203, std=2.846, absmax=12.67 +2025-10-31 17:05:10,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.662, mean=-0.3055, std=2.488, absmax=10.14 +2025-10-31 17:05:10,512 ERROR: Encountered non-finite generator loss at iter 5926; skipping update. +2025-10-31 17:05:10,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,514 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,515 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:10,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:10,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:10,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:10,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=14.94, mean=-0.2775, std=2.982, absmax=14.94 +2025-10-31 17:05:10,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.716, max=11.23, mean=-0.2458, std=2.596, absmax=11.23 +2025-10-31 17:05:11,012 ERROR: Encountered non-finite generator loss at iter 5927; skipping update. +2025-10-31 17:05:11,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:11,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:11,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=13.36, mean=-0.1327, std=2.723, absmax=13.36 +2025-10-31 17:05:11,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.378, max=9.516, mean=-0.102, std=2.439, absmax=9.516 +2025-10-31 17:05:11,515 ERROR: Encountered non-finite generator loss at iter 5928; skipping update. +2025-10-31 17:05:11,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:11,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:11,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:11,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:11,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.65, mean=-0.2933, std=2.709, absmax=13.82 +2025-10-31 17:05:11,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.142, mean=-0.2644, std=2.391, absmax=11.41 +2025-10-31 17:05:12,016 ERROR: Encountered non-finite generator loss at iter 5929; skipping update. +2025-10-31 17:05:12,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:12,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:12,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.55, mean=0.1349, std=3.28, absmax=14.25 +2025-10-31 17:05:12,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.262, max=11.62, mean=0.1022, std=2.781, absmax=11.62 +2025-10-31 17:05:12,518 ERROR: Encountered non-finite generator loss at iter 5930; skipping update. +2025-10-31 17:05:12,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:12,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:12,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:12,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:12,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.95, mean=0.1229, std=3.339, absmax=13.95 +2025-10-31 17:05:12,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.99, max=11.57, mean=0.03841, std=2.812, absmax=11.57 +2025-10-31 17:05:13,018 ERROR: Encountered non-finite generator loss at iter 5931; skipping update. +2025-10-31 17:05:13,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:13,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:13,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.33, mean=-0.1955, std=3.029, absmax=12.42 +2025-10-31 17:05:13,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=8.318, mean=-0.2439, std=2.664, absmax=10.8 +2025-10-31 17:05:13,523 ERROR: Encountered non-finite generator loss at iter 5932; skipping update. +2025-10-31 17:05:13,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:13,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:13,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:13,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:13,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.05, mean=-0.2618, std=2.725, absmax=13.12 +2025-10-31 17:05:13,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.472, mean=-0.2244, std=2.21, absmax=10.14 +2025-10-31 17:05:14,043 ERROR: Encountered non-finite generator loss at iter 5933; skipping update. +2025-10-31 17:05:14,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:14,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:14,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.34, mean=-0.1855, std=3.188, absmax=12.78 +2025-10-31 17:05:14,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.743, max=10.68, mean=-0.1661, std=2.648, absmax=10.68 +2025-10-31 17:05:14,548 ERROR: Encountered non-finite generator loss at iter 5934; skipping update. +2025-10-31 17:05:14,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:14,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:14,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:14,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:14,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.69, mean=-0.1816, std=3.364, absmax=13.69 +2025-10-31 17:05:14,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=10.93, mean=-0.206, std=2.679, absmax=10.93 +2025-10-31 17:05:15,051 ERROR: Encountered non-finite generator loss at iter 5935; skipping update. +2025-10-31 17:05:15,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:15,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:15,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=15.61, mean=0.205, std=3.279, absmax=15.61 +2025-10-31 17:05:15,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.426, max=13.19, mean=0.1556, std=2.792, absmax=13.19 +2025-10-31 17:05:15,555 ERROR: Encountered non-finite generator loss at iter 5936; skipping update. +2025-10-31 17:05:15,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:15,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:15,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:15,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:15,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=11.73, mean=-0.2732, std=3.187, absmax=13.67 +2025-10-31 17:05:15,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.031, mean=-0.289, std=2.703, absmax=10.83 +2025-10-31 17:05:16,059 ERROR: Encountered non-finite generator loss at iter 5937; skipping update. +2025-10-31 17:05:16,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:16,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:16,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.04, mean=-0.2557, std=3.2, absmax=13.07 +2025-10-31 17:05:16,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.46, mean=-0.2099, std=2.617, absmax=10.46 +2025-10-31 17:05:16,562 ERROR: Encountered non-finite generator loss at iter 5938; skipping update. +2025-10-31 17:05:16,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:16,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:16,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:16,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:16,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=16.3, mean=-0.01025, std=3.284, absmax=16.3 +2025-10-31 17:05:16,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=11.75, mean=-0.04009, std=2.721, absmax=11.75 +2025-10-31 17:05:17,064 ERROR: Encountered non-finite generator loss at iter 5939; skipping update. +2025-10-31 17:05:17,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:17,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:17,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=14.65, mean=-0.3037, std=3.243, absmax=14.65 +2025-10-31 17:05:17,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.99, mean=-0.2178, std=2.796, absmax=11.25 +2025-10-31 17:05:17,570 ERROR: Encountered non-finite generator loss at iter 5940; skipping update. +2025-10-31 17:05:17,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:17,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:17,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:17,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:17,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.79, mean=-0.03073, std=3.267, absmax=14.79 +2025-10-31 17:05:17,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.7, mean=-0.00959, std=2.806, absmax=10.9 +2025-10-31 17:05:18,072 ERROR: Encountered non-finite generator loss at iter 5941; skipping update. +2025-10-31 17:05:18,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,075 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:18,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:18,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.92, mean=-0.256, std=3.265, absmax=12.92 +2025-10-31 17:05:18,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=8.947, mean=-0.2667, std=2.897, absmax=11.17 +2025-10-31 17:05:18,576 ERROR: Encountered non-finite generator loss at iter 5942; skipping update. +2025-10-31 17:05:18,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:18,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:18,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:18,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:18,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=13.87, mean=-0.3446, std=2.684, absmax=16.16 +2025-10-31 17:05:18,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.276, mean=-0.3295, std=2.206, absmax=10.69 +2025-10-31 17:05:19,080 ERROR: Encountered non-finite generator loss at iter 5943; skipping update. +2025-10-31 17:05:19,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:19,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:19,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=15.11, mean=-0.1232, std=3.256, absmax=15.11 +2025-10-31 17:05:19,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.516, max=11.34, mean=-0.1395, std=2.614, absmax=11.34 +2025-10-31 17:05:19,584 ERROR: Encountered non-finite generator loss at iter 5944; skipping update. +2025-10-31 17:05:19,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:19,590 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:19,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:19,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:19,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=11.14, mean=-0.0428, std=2.736, absmax=14.26 +2025-10-31 17:05:19,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.225, mean=-0.08495, std=2.395, absmax=11.59 +2025-10-31 17:05:20,088 ERROR: Encountered non-finite generator loss at iter 5945; skipping update. +2025-10-31 17:05:20,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:20,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:20,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.75, mean=-0.04899, std=3.126, absmax=13.15 +2025-10-31 17:05:20,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=9.827, mean=-0.06969, std=2.51, absmax=9.898 +2025-10-31 17:05:20,593 ERROR: Encountered non-finite generator loss at iter 5946; skipping update. +2025-10-31 17:05:20,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:20,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:20,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:20,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:20,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.43, mean=-0.1176, std=2.916, absmax=12.63 +2025-10-31 17:05:20,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=9.023, mean=-0.1404, std=2.789, absmax=11.99 +2025-10-31 17:05:21,099 ERROR: Encountered non-finite generator loss at iter 5947; skipping update. +2025-10-31 17:05:21,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:21,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:21,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.49, mean=-0.355, std=3.366, absmax=12.75 +2025-10-31 17:05:21,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=8.861, mean=-0.3234, std=2.729, absmax=10.03 +2025-10-31 17:05:21,604 ERROR: Encountered non-finite generator loss at iter 5948; skipping update. +2025-10-31 17:05:21,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:21,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:21,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:21,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:21,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.52, mean=0.08676, std=3.29, absmax=14.52 +2025-10-31 17:05:21,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=12.39, mean=0.05709, std=2.945, absmax=12.39 +2025-10-31 17:05:22,109 ERROR: Encountered non-finite generator loss at iter 5949; skipping update. +2025-10-31 17:05:22,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:22,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:22,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=15.39, mean=-0.09547, std=3.229, absmax=15.39 +2025-10-31 17:05:22,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.04, mean=-0.0682, std=2.782, absmax=11.04 +2025-10-31 17:05:22,614 ERROR: Encountered non-finite generator loss at iter 5950; skipping update. +2025-10-31 17:05:22,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:22,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:22,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:22,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:22,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.42, mean=-0.1713, std=3.051, absmax=13.84 +2025-10-31 17:05:22,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=10.2, mean=-0.1444, std=2.783, absmax=11.43 +2025-10-31 17:05:23,119 ERROR: Encountered non-finite generator loss at iter 5951; skipping update. +2025-10-31 17:05:23,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:23,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:23,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.55, mean=-0.3093, std=2.928, absmax=12.79 +2025-10-31 17:05:23,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.356, mean=-0.2645, std=2.298, absmax=10.11 +2025-10-31 17:05:23,625 ERROR: Encountered non-finite generator loss at iter 5952; skipping update. +2025-10-31 17:05:23,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:23,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:23,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:23,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:23,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.37, mean=-0.2347, std=3.18, absmax=13.37 +2025-10-31 17:05:23,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.24, mean=-0.2438, std=2.651, absmax=11.16 +2025-10-31 17:05:24,130 ERROR: Encountered non-finite generator loss at iter 5953; skipping update. +2025-10-31 17:05:24,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:24,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:24,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.22, mean=-0.2052, std=2.906, absmax=12.22 +2025-10-31 17:05:24,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.072, max=8.709, mean=-0.2333, std=2.366, absmax=9.072 +2025-10-31 17:05:24,637 ERROR: Encountered non-finite generator loss at iter 5954; skipping update. +2025-10-31 17:05:24,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:24,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:24,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:24,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:24,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=13.61, mean=-0.05116, std=2.673, absmax=13.61 +2025-10-31 17:05:24,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.112, max=11.35, mean=-0.07163, std=2.29, absmax=11.35 +2025-10-31 17:05:25,142 ERROR: Encountered non-finite generator loss at iter 5955; skipping update. +2025-10-31 17:05:25,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:25,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:25,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=9.742, mean=-0.3581, std=2.692, absmax=11.35 +2025-10-31 17:05:25,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.863, max=7.404, mean=-0.353, std=2.354, absmax=9.863 +2025-10-31 17:05:25,646 ERROR: Encountered non-finite generator loss at iter 5956; skipping update. +2025-10-31 17:05:25,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,651 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,652 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:25,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:25,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:25,655 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:25,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.88, mean=-0.2614, std=2.718, absmax=12.14 +2025-10-31 17:05:25,657 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.704, mean=-0.2843, std=2.396, absmax=10.38 +2025-10-31 17:05:26,150 ERROR: Encountered non-finite generator loss at iter 5957; skipping update. +2025-10-31 17:05:26,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:26,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:26,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=19.35, mean=-0.05578, std=3.455, absmax=19.35 +2025-10-31 17:05:26,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=13.04, mean=-0.03654, std=2.899, absmax=13.04 +2025-10-31 17:05:26,653 ERROR: Encountered non-finite generator loss at iter 5958; skipping update. +2025-10-31 17:05:26,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:26,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:26,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:26,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:26,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.82, mean=-0.1723, std=2.875, absmax=12.24 +2025-10-31 17:05:26,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.566, max=9.25, mean=-0.1862, std=2.358, absmax=9.25 +2025-10-31 17:05:27,155 ERROR: Encountered non-finite generator loss at iter 5959; skipping update. +2025-10-31 17:05:27,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,160 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:27,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:27,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.21, mean=-0.3146, std=2.705, absmax=12.29 +2025-10-31 17:05:27,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.521, max=7.505, mean=-0.2964, std=2.353, absmax=9.521 +2025-10-31 17:05:27,660 ERROR: Encountered non-finite generator loss at iter 5960; skipping update. +2025-10-31 17:05:27,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:27,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:27,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:27,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:27,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.84, mean=-0.266, std=3.165, absmax=13.84 +2025-10-31 17:05:27,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=9.148, mean=-0.2579, std=2.535, absmax=11.23 +2025-10-31 17:05:28,162 ERROR: Encountered non-finite generator loss at iter 5961; skipping update. +2025-10-31 17:05:28,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:28,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:28,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=13.53, mean=-0.2947, std=3.222, absmax=15.4 +2025-10-31 17:05:28,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=9.575, mean=-0.2649, std=2.681, absmax=11.68 +2025-10-31 17:05:28,666 ERROR: Encountered non-finite generator loss at iter 5962; skipping update. +2025-10-31 17:05:28,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:28,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:28,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:28,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:28,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.81, mean=-0.1602, std=2.986, absmax=13.17 +2025-10-31 17:05:28,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.83, mean=-0.1209, std=2.5, absmax=10.72 +2025-10-31 17:05:29,168 ERROR: Encountered non-finite generator loss at iter 5963; skipping update. +2025-10-31 17:05:29,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:29,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:29,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.63, mean=-0.1459, std=2.506, absmax=13.63 +2025-10-31 17:05:29,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.971, max=9.327, mean=-0.1036, std=2.139, absmax=9.327 +2025-10-31 17:05:29,670 ERROR: Encountered non-finite generator loss at iter 5964; skipping update. +2025-10-31 17:05:29,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:29,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:29,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:29,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:29,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.11, mean=-0.2936, std=2.728, absmax=13.08 +2025-10-31 17:05:29,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.706, max=9.77, mean=-0.2934, std=2.405, absmax=9.77 +2025-10-31 17:05:30,173 ERROR: Encountered non-finite generator loss at iter 5965; skipping update. +2025-10-31 17:05:30,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:30,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:30,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=15.08, mean=0.1524, std=3.362, absmax=15.08 +2025-10-31 17:05:30,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.343, max=13.12, mean=0.1925, std=3.029, absmax=13.12 +2025-10-31 17:05:30,675 ERROR: Encountered non-finite generator loss at iter 5966; skipping update. +2025-10-31 17:05:30,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:30,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:30,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:30,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:30,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=16.56, mean=0.0944, std=3.715, absmax=16.56 +2025-10-31 17:05:30,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=14.82, mean=0.09374, std=3.25, absmax=14.82 +2025-10-31 17:05:31,177 ERROR: Encountered non-finite generator loss at iter 5967; skipping update. +2025-10-31 17:05:31,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:31,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:31,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.06, mean=-0.2337, std=2.597, absmax=11.7 +2025-10-31 17:05:31,187 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.279, mean=-0.222, std=2.262, absmax=10.23 +2025-10-31 17:05:31,679 ERROR: Encountered non-finite generator loss at iter 5968; skipping update. +2025-10-31 17:05:31,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:31,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:31,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:31,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:31,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.71, mean=-0.1666, std=3.039, absmax=13.71 +2025-10-31 17:05:31,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.454, max=9.637, mean=-0.165, std=2.342, absmax=9.637 +2025-10-31 17:05:32,181 ERROR: Encountered non-finite generator loss at iter 5969; skipping update. +2025-10-31 17:05:32,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:32,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:32,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=11.32, mean=-0.2001, std=2.669, absmax=11.32 +2025-10-31 17:05:32,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.476, max=11.4, mean=-0.1185, std=2.455, absmax=11.4 +2025-10-31 17:05:32,682 ERROR: Encountered non-finite generator loss at iter 5970; skipping update. +2025-10-31 17:05:32,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:32,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:32,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:32,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:32,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.14, mean=-0.06692, std=2.616, absmax=13.18 +2025-10-31 17:05:32,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.347, mean=-0.1048, std=2.353, absmax=10.22 +2025-10-31 17:05:33,183 ERROR: Encountered non-finite generator loss at iter 5971; skipping update. +2025-10-31 17:05:33,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:33,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:33,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=15.9, mean=-0.2381, std=2.902, absmax=15.9 +2025-10-31 17:05:33,191 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.832, mean=-0.2673, std=2.382, absmax=10.29 +2025-10-31 17:05:33,684 ERROR: Encountered non-finite generator loss at iter 5972; skipping update. +2025-10-31 17:05:33,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:33,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:33,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:33,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:33,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.83, mean=-0.2309, std=3.668, absmax=14.83 +2025-10-31 17:05:33,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=12.35, mean=-0.1935, std=3.032, absmax=12.35 +2025-10-31 17:05:34,185 ERROR: Encountered non-finite generator loss at iter 5973; skipping update. +2025-10-31 17:05:34,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:34,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:34,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.52, mean=-0.1039, std=2.977, absmax=12.62 +2025-10-31 17:05:34,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.558, max=8.902, mean=-0.1084, std=2.319, absmax=8.902 +2025-10-31 17:05:34,686 ERROR: Encountered non-finite generator loss at iter 5974; skipping update. +2025-10-31 17:05:34,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:34,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:34,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:34,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:34,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.15, mean=-0.0606, std=2.788, absmax=13.15 +2025-10-31 17:05:34,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=10.78, mean=-0.08916, std=2.42, absmax=11.48 +2025-10-31 17:05:35,188 ERROR: Encountered non-finite generator loss at iter 5975; skipping update. +2025-10-31 17:05:35,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:35,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:35,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.23, mean=-0.137, std=2.846, absmax=12.85 +2025-10-31 17:05:35,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.953, max=9.311, mean=-0.1468, std=2.35, absmax=9.953 +2025-10-31 17:05:35,690 ERROR: Encountered non-finite generator loss at iter 5976; skipping update. +2025-10-31 17:05:35,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:35,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:35,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:35,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:35,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=15.25, mean=-0.07742, std=3.569, absmax=15.25 +2025-10-31 17:05:35,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.11, mean=-0.09991, std=2.968, absmax=11.65 +2025-10-31 17:05:36,191 ERROR: Encountered non-finite generator loss at iter 5977; skipping update. +2025-10-31 17:05:36,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:36,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:36,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=14.6, mean=-0.3075, std=2.546, absmax=14.6 +2025-10-31 17:05:36,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=10.26, mean=-0.2647, std=2.241, absmax=10.26 +2025-10-31 17:05:36,689 ERROR: Encountered non-finite generator loss at iter 5978; skipping update. +2025-10-31 17:05:36,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:36,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:36,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:36,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:36,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.33, mean=-0.1842, std=2.304, absmax=11.55 +2025-10-31 17:05:36,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.931, max=7.684, mean=-0.2161, std=2.045, absmax=8.931 +2025-10-31 17:05:37,190 ERROR: Encountered non-finite generator loss at iter 5979; skipping update. +2025-10-31 17:05:37,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:37,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:37,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.1, mean=-0.04128, std=3.239, absmax=14.1 +2025-10-31 17:05:37,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.396, max=11.41, mean=-0.07762, std=2.55, absmax=11.41 +2025-10-31 17:05:37,692 ERROR: Encountered non-finite generator loss at iter 5980; skipping update. +2025-10-31 17:05:37,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:37,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:37,698 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:37,699 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:37,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.75, mean=-0.2496, std=2.643, absmax=12.52 +2025-10-31 17:05:37,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=8.356, mean=-0.2599, std=2.193, absmax=9.964 +2025-10-31 17:05:38,192 ERROR: Encountered non-finite generator loss at iter 5981; skipping update. +2025-10-31 17:05:38,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:38,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:38,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.5, mean=-0.1283, std=2.792, absmax=13.5 +2025-10-31 17:05:38,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.585, max=9.235, mean=-0.1231, std=2.336, absmax=9.235 +2025-10-31 17:05:38,695 ERROR: Encountered non-finite generator loss at iter 5982; skipping update. +2025-10-31 17:05:38,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:38,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:38,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:38,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:38,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.27, mean=0.03877, std=3.461, absmax=14.27 +2025-10-31 17:05:38,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=10.23, mean=-0.04215, std=2.718, absmax=10.23 +2025-10-31 17:05:39,197 ERROR: Encountered non-finite generator loss at iter 5983; skipping update. +2025-10-31 17:05:39,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:39,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:39,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.83, mean=-0.2424, std=2.934, absmax=11.83 +2025-10-31 17:05:39,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=8.481, mean=-0.2639, std=2.714, absmax=11.11 +2025-10-31 17:05:39,699 ERROR: Encountered non-finite generator loss at iter 5984; skipping update. +2025-10-31 17:05:39,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:39,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:39,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:39,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:39,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.95, mean=-0.07252, std=3.296, absmax=13.95 +2025-10-31 17:05:39,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.446, max=12.03, mean=-0.06543, std=2.737, absmax=12.03 +2025-10-31 17:05:40,202 ERROR: Encountered non-finite generator loss at iter 5985; skipping update. +2025-10-31 17:05:40,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:40,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:40,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=15.16, mean=-0.3534, std=3.062, absmax=15.16 +2025-10-31 17:05:40,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.157, mean=-0.3001, std=2.534, absmax=11.84 +2025-10-31 17:05:40,704 ERROR: Encountered non-finite generator loss at iter 5986; skipping update. +2025-10-31 17:05:40,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:40,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:40,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:40,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:40,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.61, mean=-0.4049, std=3.145, absmax=14.13 +2025-10-31 17:05:40,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.66, mean=-0.3582, std=2.641, absmax=10.85 +2025-10-31 17:05:41,205 ERROR: Encountered non-finite generator loss at iter 5987; skipping update. +2025-10-31 17:05:41,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:41,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:41,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.94, mean=0.09851, std=3.242, absmax=13.94 +2025-10-31 17:05:41,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.516, max=10.92, mean=0.04503, std=2.826, absmax=10.92 +2025-10-31 17:05:41,706 ERROR: Encountered non-finite generator loss at iter 5988; skipping update. +2025-10-31 17:05:41,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:41,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:41,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:41,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:41,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.63, mean=-0.08589, std=2.794, absmax=13.81 +2025-10-31 17:05:41,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.779, max=8.182, mean=-0.1326, std=2.345, absmax=9.779 +2025-10-31 17:05:42,209 ERROR: Encountered non-finite generator loss at iter 5989; skipping update. +2025-10-31 17:05:42,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:42,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:42,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=10.95, mean=-0.1459, std=2.918, absmax=14.25 +2025-10-31 17:05:42,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.193, mean=-0.1386, std=2.475, absmax=10.19 +2025-10-31 17:05:42,711 ERROR: Encountered non-finite generator loss at iter 5990; skipping update. +2025-10-31 17:05:42,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:42,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:42,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:42,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:42,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.42, mean=-0.1643, std=3.078, absmax=14.41 +2025-10-31 17:05:42,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.22, max=10.1, mean=-0.2168, std=2.355, absmax=10.1 +2025-10-31 17:05:43,213 ERROR: Encountered non-finite generator loss at iter 5991; skipping update. +2025-10-31 17:05:43,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:43,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:43,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.28, mean=-0.324, std=2.606, absmax=13.45 +2025-10-31 17:05:43,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=8.749, mean=-0.3193, std=2.307, absmax=11.35 +2025-10-31 17:05:43,716 ERROR: Encountered non-finite generator loss at iter 5992; skipping update. +2025-10-31 17:05:43,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:43,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:43,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:43,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:43,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.36, mean=-0.1107, std=2.698, absmax=14.15 +2025-10-31 17:05:43,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.803, max=9.663, mean=-0.1769, std=2.21, absmax=9.803 +2025-10-31 17:05:44,221 ERROR: Encountered non-finite generator loss at iter 5993; skipping update. +2025-10-31 17:05:44,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:44,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:44,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.45, mean=-0.1018, std=3.085, absmax=13.96 +2025-10-31 17:05:44,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=11.02, mean=-0.1511, std=2.604, absmax=11.26 +2025-10-31 17:05:44,726 ERROR: Encountered non-finite generator loss at iter 5994; skipping update. +2025-10-31 17:05:44,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:44,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:44,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:44,735 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:44,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.83, mean=-0.0962, std=2.927, absmax=12.83 +2025-10-31 17:05:44,737 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.949, max=10.27, mean=-0.1288, std=2.533, absmax=10.27 +2025-10-31 17:05:45,231 ERROR: Encountered non-finite generator loss at iter 5995; skipping update. +2025-10-31 17:05:45,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:45,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:45,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=15.49, mean=-0.28, std=2.82, absmax=15.49 +2025-10-31 17:05:45,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=11.38, mean=-0.222, std=2.483, absmax=11.38 +2025-10-31 17:05:45,731 ERROR: Encountered non-finite generator loss at iter 5996; skipping update. +2025-10-31 17:05:45,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:45,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:45,740 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:45,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:45,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12.53, mean=-0.2409, std=2.525, absmax=13.93 +2025-10-31 17:05:45,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.502, max=8.996, mean=-0.2269, std=2.165, absmax=8.996 +2025-10-31 17:05:46,235 ERROR: Encountered non-finite generator loss at iter 5997; skipping update. +2025-10-31 17:05:46,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:46,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:46,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.12, mean=-0.1634, std=2.713, absmax=13.12 +2025-10-31 17:05:46,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=11.32, mean=-0.1205, std=2.335, absmax=11.32 +2025-10-31 17:05:46,740 ERROR: Encountered non-finite generator loss at iter 5998; skipping update. +2025-10-31 17:05:46,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:46,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:46,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:46,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:46,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.57, mean=0.2055, std=3.464, absmax=14.57 +2025-10-31 17:05:46,753 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=11.1, mean=0.1296, std=2.89, absmax=11.1 +2025-10-31 17:05:47,245 ERROR: Encountered non-finite generator loss at iter 5999; skipping update. +2025-10-31 17:05:47,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:47,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:47,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.59, mean=-0.09733, std=2.73, absmax=11.59 +2025-10-31 17:05:47,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.374, max=9.866, mean=-0.07646, std=2.266, absmax=9.866 +2025-10-31 17:05:47,749 ERROR: Encountered non-finite generator loss at iter 6000; skipping update. +2025-10-31 17:05:47,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:47,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:47,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:47,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:47,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=11.45, mean=-0.1299, std=3.115, absmax=13.37 +2025-10-31 17:05:47,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.502, mean=-0.1287, std=2.7, absmax=10.09 +2025-10-31 17:05:47,760 INFO: [29..][epoch: 0, step: 6,000, lr:(1.500e-04,)] [eta: 1 day, 17:52:05, time (data): 0.503 (0.000)] +2025-10-31 17:05:48,251 ERROR: Encountered non-finite generator loss at iter 6001; skipping update. +2025-10-31 17:05:48,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,256 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:48,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:48,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.83, mean=-0.2022, std=3.19, absmax=13.83 +2025-10-31 17:05:48,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.74, mean=-0.191, std=2.653, absmax=10.74 +2025-10-31 17:05:48,754 ERROR: Encountered non-finite generator loss at iter 6002; skipping update. +2025-10-31 17:05:48,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:48,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:48,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:48,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:48,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.66, mean=-0.3196, std=3.227, absmax=13.66 +2025-10-31 17:05:48,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.67, mean=-0.2562, std=2.779, absmax=11.51 +2025-10-31 17:05:49,256 ERROR: Encountered non-finite generator loss at iter 6003; skipping update. +2025-10-31 17:05:49,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:49,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:49,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=10.25, mean=-0.1029, std=2.709, absmax=13.16 +2025-10-31 17:05:49,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.529, mean=-0.1029, std=2.543, absmax=10.26 +2025-10-31 17:05:49,760 ERROR: Encountered non-finite generator loss at iter 6004; skipping update. +2025-10-31 17:05:49,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:49,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:49,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:49,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:49,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.75, mean=0.006566, std=3.235, absmax=13.75 +2025-10-31 17:05:49,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.428, max=9.714, mean=-0.05961, std=2.626, absmax=9.714 +2025-10-31 17:05:50,264 ERROR: Encountered non-finite generator loss at iter 6005; skipping update. +2025-10-31 17:05:50,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:50,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:50,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=15.06, mean=-0.3158, std=3.052, absmax=15.06 +2025-10-31 17:05:50,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=12.01, mean=-0.249, std=2.517, absmax=12.01 +2025-10-31 17:05:50,767 ERROR: Encountered non-finite generator loss at iter 6006; skipping update. +2025-10-31 17:05:50,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:50,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:50,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:50,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:50,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=14.27, mean=-0.07958, std=2.934, absmax=14.27 +2025-10-31 17:05:50,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.335, max=10.38, mean=-0.1363, std=2.386, absmax=10.38 +2025-10-31 17:05:51,269 ERROR: Encountered non-finite generator loss at iter 6007; skipping update. +2025-10-31 17:05:51,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:51,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:51,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=12.36, mean=-0.1141, std=3.364, absmax=15.78 +2025-10-31 17:05:51,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.25, mean=-0.1875, std=2.784, absmax=11 +2025-10-31 17:05:51,772 ERROR: Encountered non-finite generator loss at iter 6008; skipping update. +2025-10-31 17:05:51,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:51,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:51,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:51,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:51,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.8, mean=-0.1003, std=2.844, absmax=13.8 +2025-10-31 17:05:51,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.574, max=10.21, mean=-0.1304, std=2.354, absmax=10.21 +2025-10-31 17:05:52,274 ERROR: Encountered non-finite generator loss at iter 6009; skipping update. +2025-10-31 17:05:52,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:52,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:52,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=13.18, mean=-0.2051, std=3.46, absmax=14.68 +2025-10-31 17:05:52,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=10.27, mean=-0.2375, std=2.983, absmax=12.12 +2025-10-31 17:05:52,772 ERROR: Encountered non-finite generator loss at iter 6010; skipping update. +2025-10-31 17:05:52,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:52,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:52,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:52,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:52,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=15.16, mean=-0.2673, std=3, absmax=15.16 +2025-10-31 17:05:52,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=12.24, mean=-0.2428, std=2.519, absmax=12.24 +2025-10-31 17:05:53,276 ERROR: Encountered non-finite generator loss at iter 6011; skipping update. +2025-10-31 17:05:53,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:53,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:53,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=13.02, mean=-0.09901, std=2.763, absmax=15.37 +2025-10-31 17:05:53,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=10.81, mean=-0.1173, std=2.329, absmax=11.2 +2025-10-31 17:05:53,778 ERROR: Encountered non-finite generator loss at iter 6012; skipping update. +2025-10-31 17:05:53,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:53,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:53,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:53,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:53,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.28, max=11.91, mean=0.1213, std=3.222, absmax=16.28 +2025-10-31 17:05:53,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=11.19, mean=0.0643, std=2.731, absmax=11.19 +2025-10-31 17:05:54,280 ERROR: Encountered non-finite generator loss at iter 6013; skipping update. +2025-10-31 17:05:54,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:54,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:54,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.46, mean=-0.1554, std=2.715, absmax=12.46 +2025-10-31 17:05:54,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.805, max=9.892, mean=-0.1721, std=2.246, absmax=9.892 +2025-10-31 17:05:54,784 ERROR: Encountered non-finite generator loss at iter 6014; skipping update. +2025-10-31 17:05:54,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:54,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:54,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:54,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:54,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=11.89, mean=-0.1975, std=2.581, absmax=11.89 +2025-10-31 17:05:54,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.987, max=8.857, mean=-0.2066, std=2.357, absmax=9.987 +2025-10-31 17:05:55,286 ERROR: Encountered non-finite generator loss at iter 6015; skipping update. +2025-10-31 17:05:55,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:55,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:55,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=14.6, mean=-0.2123, std=3.214, absmax=14.84 +2025-10-31 17:05:55,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.44, mean=-0.2187, std=2.659, absmax=11.54 +2025-10-31 17:05:55,788 ERROR: Encountered non-finite generator loss at iter 6016; skipping update. +2025-10-31 17:05:55,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:55,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:55,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:55,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:55,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.75, mean=-0.09264, std=3.023, absmax=12.52 +2025-10-31 17:05:55,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.985, mean=-0.1312, std=2.532, absmax=10.27 +2025-10-31 17:05:56,293 ERROR: Encountered non-finite generator loss at iter 6017; skipping update. +2025-10-31 17:05:56,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:56,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:56,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=17.68, mean=-0.2668, std=2.805, absmax=17.68 +2025-10-31 17:05:56,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=14.66, mean=-0.2222, std=2.388, absmax=14.66 +2025-10-31 17:05:56,797 ERROR: Encountered non-finite generator loss at iter 6018; skipping update. +2025-10-31 17:05:56,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:56,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:56,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:56,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:56,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.07, mean=-0.1678, std=3.02, absmax=13 +2025-10-31 17:05:56,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.11, mean=-0.1945, std=2.623, absmax=11.11 +2025-10-31 17:05:57,299 ERROR: Encountered non-finite generator loss at iter 6019; skipping update. +2025-10-31 17:05:57,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:57,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:57,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=13.9, mean=-0.1145, std=3.037, absmax=14.42 +2025-10-31 17:05:57,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.58, mean=-0.1055, std=2.423, absmax=10.58 +2025-10-31 17:05:57,806 ERROR: Encountered non-finite generator loss at iter 6020; skipping update. +2025-10-31 17:05:57,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:57,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:57,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:57,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:57,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.62, mean=-0.07166, std=3.072, absmax=12.62 +2025-10-31 17:05:57,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=9.44, mean=-0.07331, std=2.396, absmax=9.44 +2025-10-31 17:05:58,309 ERROR: Encountered non-finite generator loss at iter 6021; skipping update. +2025-10-31 17:05:58,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,314 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:58,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:58,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.83, mean=-0.171, std=3.191, absmax=13.24 +2025-10-31 17:05:58,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=9.337, mean=-0.192, std=2.569, absmax=10.19 +2025-10-31 17:05:58,814 ERROR: Encountered non-finite generator loss at iter 6022; skipping update. +2025-10-31 17:05:58,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:58,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:58,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:58,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:58,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=15.06, mean=-0.0794, std=3.505, absmax=15.06 +2025-10-31 17:05:58,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.68, mean=-0.09597, std=2.894, absmax=11.68 +2025-10-31 17:05:59,318 ERROR: Encountered non-finite generator loss at iter 6023; skipping update. +2025-10-31 17:05:59,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:59,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:59,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.82, mean=-0.1726, std=2.553, absmax=11.83 +2025-10-31 17:05:59,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=8.875, mean=-0.2128, std=2.231, absmax=10.89 +2025-10-31 17:05:59,821 ERROR: Encountered non-finite generator loss at iter 6024; skipping update. +2025-10-31 17:05:59,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:05:59,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:05:59,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:05:59,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:05:59,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=13.47, mean=-0.1246, std=2.644, absmax=13.47 +2025-10-31 17:05:59,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.051, max=8.84, mean=-0.1736, std=2.304, absmax=9.051 +2025-10-31 17:06:00,326 ERROR: Encountered non-finite generator loss at iter 6025; skipping update. +2025-10-31 17:06:00,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:00,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:00,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.4, mean=-0.06919, std=3.73, absmax=14.4 +2025-10-31 17:06:00,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.14, mean=-0.08203, std=3.104, absmax=11.63 +2025-10-31 17:06:00,827 ERROR: Encountered non-finite generator loss at iter 6026; skipping update. +2025-10-31 17:06:00,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:00,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:00,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:00,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:00,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=16.72, mean=-0.2196, std=3.281, absmax=16.72 +2025-10-31 17:06:00,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=13.11, mean=-0.2453, std=2.636, absmax=13.11 +2025-10-31 17:06:01,331 ERROR: Encountered non-finite generator loss at iter 6027; skipping update. +2025-10-31 17:06:01,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:01,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:01,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.74, mean=-0.2909, std=2.869, absmax=13.74 +2025-10-31 17:06:01,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=8.677, mean=-0.2493, std=2.424, absmax=10.99 +2025-10-31 17:06:01,832 ERROR: Encountered non-finite generator loss at iter 6028; skipping update. +2025-10-31 17:06:01,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:01,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:01,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:01,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:01,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.89, mean=-0.04688, std=3.118, absmax=13.89 +2025-10-31 17:06:01,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.65, mean=-0.06247, std=2.492, absmax=11.39 +2025-10-31 17:06:02,335 ERROR: Encountered non-finite generator loss at iter 6029; skipping update. +2025-10-31 17:06:02,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:02,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:02,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11, mean=-0.2129, std=3.148, absmax=12.65 +2025-10-31 17:06:02,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.9, mean=-0.1598, std=2.701, absmax=10.9 +2025-10-31 17:06:02,840 ERROR: Encountered non-finite generator loss at iter 6030; skipping update. +2025-10-31 17:06:02,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:02,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:02,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:02,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:02,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.38, mean=-0.1628, std=3.127, absmax=13.38 +2025-10-31 17:06:02,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.42, mean=-0.1684, std=2.748, absmax=10.42 +2025-10-31 17:06:03,345 ERROR: Encountered non-finite generator loss at iter 6031; skipping update. +2025-10-31 17:06:03,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:03,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:03,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.5, mean=-0.2679, std=2.743, absmax=13.5 +2025-10-31 17:06:03,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.79, max=7.418, mean=-0.2351, std=2.128, absmax=8.79 +2025-10-31 17:06:03,850 ERROR: Encountered non-finite generator loss at iter 6032; skipping update. +2025-10-31 17:06:03,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,854 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:03,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:03,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:03,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:03,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=17.77, mean=-0.1235, std=2.992, absmax=17.77 +2025-10-31 17:06:03,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.91, max=16.42, mean=-0.08156, std=2.631, absmax=16.42 +2025-10-31 17:06:04,354 ERROR: Encountered non-finite generator loss at iter 6033; skipping update. +2025-10-31 17:06:04,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:04,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:04,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.27, mean=-0.1006, std=2.615, absmax=13.27 +2025-10-31 17:06:04,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.18, max=11.19, mean=-0.09212, std=2.315, absmax=11.19 +2025-10-31 17:06:04,858 ERROR: Encountered non-finite generator loss at iter 6034; skipping update. +2025-10-31 17:06:04,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:04,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:04,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:04,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:04,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.01, mean=-0.2598, std=2.975, absmax=13.44 +2025-10-31 17:06:04,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.44, max=8.395, mean=-0.2629, std=2.351, absmax=9.44 +2025-10-31 17:06:05,364 ERROR: Encountered non-finite generator loss at iter 6035; skipping update. +2025-10-31 17:06:05,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:05,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:05,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.68, mean=-0.06037, std=3.057, absmax=13.68 +2025-10-31 17:06:05,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=11.48, mean=-0.07508, std=2.622, absmax=11.48 +2025-10-31 17:06:05,868 ERROR: Encountered non-finite generator loss at iter 6036; skipping update. +2025-10-31 17:06:05,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,871 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,871 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,872 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:05,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:05,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:05,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:05,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=10.6, mean=-0.2395, std=2.346, absmax=11.07 +2025-10-31 17:06:05,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.957, max=8.939, mean=-0.2484, std=2.043, absmax=9.957 +2025-10-31 17:06:06,372 ERROR: Encountered non-finite generator loss at iter 6037; skipping update. +2025-10-31 17:06:06,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:06,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:06,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.71, mean=-0.04894, std=3.193, absmax=14.71 +2025-10-31 17:06:06,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.771, max=12.7, mean=-0.04908, std=2.702, absmax=12.7 +2025-10-31 17:06:06,875 ERROR: Encountered non-finite generator loss at iter 6038; skipping update. +2025-10-31 17:06:06,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:06,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:06,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:06,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:06,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=13.77, mean=-0.4543, std=3.159, absmax=14.51 +2025-10-31 17:06:06,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=10.6, mean=-0.4178, std=2.756, absmax=11.88 +2025-10-31 17:06:07,379 ERROR: Encountered non-finite generator loss at iter 6039; skipping update. +2025-10-31 17:06:07,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:07,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:07,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=10.97, mean=-0.2076, std=2.481, absmax=11.07 +2025-10-31 17:06:07,389 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.125, max=7.419, mean=-0.2102, std=2.065, absmax=8.125 +2025-10-31 17:06:07,888 ERROR: Encountered non-finite generator loss at iter 6040; skipping update. +2025-10-31 17:06:07,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:07,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:07,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:07,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:07,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.39, mean=-0.2123, std=2.869, absmax=12.39 +2025-10-31 17:06:07,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=8.199, mean=-0.2444, std=2.424, absmax=11.35 +2025-10-31 17:06:08,392 ERROR: Encountered non-finite generator loss at iter 6041; skipping update. +2025-10-31 17:06:08,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:08,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:08,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.57, mean=-0.1744, std=2.695, absmax=13.57 +2025-10-31 17:06:08,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.359, max=7.635, mean=-0.1557, std=2.29, absmax=9.359 +2025-10-31 17:06:08,894 ERROR: Encountered non-finite generator loss at iter 6042; skipping update. +2025-10-31 17:06:08,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:08,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:08,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:08,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:08,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.22, mean=-0.1493, std=2.504, absmax=11.23 +2025-10-31 17:06:08,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.639, max=7.081, mean=-0.1891, std=2.141, absmax=8.639 +2025-10-31 17:06:09,397 ERROR: Encountered non-finite generator loss at iter 6043; skipping update. +2025-10-31 17:06:09,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:09,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:09,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.16, mean=-0.2255, std=3.205, absmax=13.02 +2025-10-31 17:06:09,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.48, mean=-0.2659, std=2.63, absmax=10.26 +2025-10-31 17:06:09,900 ERROR: Encountered non-finite generator loss at iter 6044; skipping update. +2025-10-31 17:06:09,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:09,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:09,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:09,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:09,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.56, mean=-0.1872, std=2.589, absmax=12.56 +2025-10-31 17:06:09,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.641, max=9.04, mean=-0.1679, std=2.211, absmax=9.04 +2025-10-31 17:06:10,401 ERROR: Encountered non-finite generator loss at iter 6045; skipping update. +2025-10-31 17:06:10,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:10,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:10,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.53, mean=-0.1005, std=3.054, absmax=14.53 +2025-10-31 17:06:10,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=10.39, mean=-0.1259, std=2.541, absmax=10.39 +2025-10-31 17:06:10,904 ERROR: Encountered non-finite generator loss at iter 6046; skipping update. +2025-10-31 17:06:10,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:10,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:10,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:10,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:10,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=14.17, mean=0.1831, std=3.62, absmax=14.17 +2025-10-31 17:06:10,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=11.74, mean=0.141, std=2.934, absmax=11.74 +2025-10-31 17:06:11,404 ERROR: Encountered non-finite generator loss at iter 6047; skipping update. +2025-10-31 17:06:11,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,412 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:11,413 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:11,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=15.34, mean=0.0004077, std=3.054, absmax=15.34 +2025-10-31 17:06:11,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.991, max=10.21, mean=-0.07271, std=2.438, absmax=10.21 +2025-10-31 17:06:11,908 ERROR: Encountered non-finite generator loss at iter 6048; skipping update. +2025-10-31 17:06:11,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:11,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:11,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:11,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:11,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=15.99, mean=-0.2982, std=3.059, absmax=15.99 +2025-10-31 17:06:11,915 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=11.76, mean=-0.2102, std=2.637, absmax=11.76 +2025-10-31 17:06:12,410 ERROR: Encountered non-finite generator loss at iter 6049; skipping update. +2025-10-31 17:06:12,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,417 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:12,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:12,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=20.15, mean=-0.06952, std=3.755, absmax=20.15 +2025-10-31 17:06:12,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=10.19, mean=-0.02816, std=2.945, absmax=11.85 +2025-10-31 17:06:12,915 ERROR: Encountered non-finite generator loss at iter 6050; skipping update. +2025-10-31 17:06:12,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:12,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:12,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:12,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:12,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=13.13, mean=-0.004437, std=2.876, absmax=13.13 +2025-10-31 17:06:12,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.2, mean=-0.01061, std=2.551, absmax=10.64 +2025-10-31 17:06:13,420 ERROR: Encountered non-finite generator loss at iter 6051; skipping update. +2025-10-31 17:06:13,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,423 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:13,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:13,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.74, max=19.37, mean=-0.0004149, std=3.41, absmax=19.37 +2025-10-31 17:06:13,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=12.5, mean=-0.02541, std=2.696, absmax=12.5 +2025-10-31 17:06:13,924 ERROR: Encountered non-finite generator loss at iter 6052; skipping update. +2025-10-31 17:06:13,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:13,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:13,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:13,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:13,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.76, max=10.7, mean=-0.2604, std=2.291, absmax=10.76 +2025-10-31 17:06:13,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.558, max=8.541, mean=-0.2171, std=1.972, absmax=8.558 +2025-10-31 17:06:14,429 ERROR: Encountered non-finite generator loss at iter 6053; skipping update. +2025-10-31 17:06:14,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:14,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:14,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=14.56, mean=-0.04016, std=2.912, absmax=14.56 +2025-10-31 17:06:14,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=13.62, mean=-0.03536, std=2.423, absmax=13.62 +2025-10-31 17:06:14,932 ERROR: Encountered non-finite generator loss at iter 6054; skipping update. +2025-10-31 17:06:14,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:14,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:14,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:14,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:14,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.25, mean=-0.06263, std=2.766, absmax=13.14 +2025-10-31 17:06:14,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.321, max=10.05, mean=-0.09278, std=2.521, absmax=10.05 +2025-10-31 17:06:15,438 ERROR: Encountered non-finite generator loss at iter 6055; skipping update. +2025-10-31 17:06:15,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:15,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:15,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.97, mean=0.01157, std=3.227, absmax=14.97 +2025-10-31 17:06:15,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.8, mean=-0.0124, std=2.636, absmax=10.8 +2025-10-31 17:06:15,943 ERROR: Encountered non-finite generator loss at iter 6056; skipping update. +2025-10-31 17:06:15,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:15,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:15,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:15,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:15,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.57, mean=-0.1848, std=2.851, absmax=11.57 +2025-10-31 17:06:15,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=8.45, mean=-0.1697, std=2.421, absmax=9.759 +2025-10-31 17:06:16,447 ERROR: Encountered non-finite generator loss at iter 6057; skipping update. +2025-10-31 17:06:16,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:16,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:16,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.71, mean=0.09121, std=3.533, absmax=13.71 +2025-10-31 17:06:16,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.9, mean=0.07279, std=3.118, absmax=11.9 +2025-10-31 17:06:16,952 ERROR: Encountered non-finite generator loss at iter 6058; skipping update. +2025-10-31 17:06:16,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:16,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:16,960 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:16,961 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:16,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.69, max=13.9, mean=-0.07118, std=3.291, absmax=17.69 +2025-10-31 17:06:16,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=10.21, mean=-0.08876, std=2.9, absmax=11.31 +2025-10-31 17:06:17,458 ERROR: Encountered non-finite generator loss at iter 6059; skipping update. +2025-10-31 17:06:17,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:17,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:17,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.1, mean=-0.2627, std=3.048, absmax=14.1 +2025-10-31 17:06:17,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=12.23, mean=-0.2642, std=2.555, absmax=12.23 +2025-10-31 17:06:17,963 ERROR: Encountered non-finite generator loss at iter 6060; skipping update. +2025-10-31 17:06:17,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:17,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:17,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:17,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:17,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.28, max=13.08, mean=-0.08122, std=2.879, absmax=17.28 +2025-10-31 17:06:17,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.22, mean=-0.1054, std=2.364, absmax=11.63 +2025-10-31 17:06:18,467 ERROR: Encountered non-finite generator loss at iter 6061; skipping update. +2025-10-31 17:06:18,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:18,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:18,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.15, mean=0.000164, std=3.731, absmax=13.87 +2025-10-31 17:06:18,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=10.84, mean=0.03414, std=3.067, absmax=12 +2025-10-31 17:06:18,972 ERROR: Encountered non-finite generator loss at iter 6062; skipping update. +2025-10-31 17:06:18,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,976 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:18,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:18,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:18,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:18,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=13.69, mean=-0.1613, std=3.263, absmax=13.69 +2025-10-31 17:06:18,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.803, mean=-0.1463, std=2.724, absmax=10.67 +2025-10-31 17:06:19,474 ERROR: Encountered non-finite generator loss at iter 6063; skipping update. +2025-10-31 17:06:19,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:19,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:19,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=16.58, mean=-0.1634, std=2.827, absmax=16.58 +2025-10-31 17:06:19,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.862, mean=-0.1637, std=2.34, absmax=10.77 +2025-10-31 17:06:19,979 ERROR: Encountered non-finite generator loss at iter 6064; skipping update. +2025-10-31 17:06:19,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,984 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:19,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:19,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:19,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:19,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.86, mean=-0.05449, std=3.242, absmax=13.86 +2025-10-31 17:06:19,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.35, max=11.26, mean=-0.04429, std=2.609, absmax=11.26 +2025-10-31 17:06:20,483 ERROR: Encountered non-finite generator loss at iter 6065; skipping update. +2025-10-31 17:06:20,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:20,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:20,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=9.872, mean=-0.2612, std=2.532, absmax=12.79 +2025-10-31 17:06:20,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=7.589, mean=-0.2173, std=2.342, absmax=11.23 +2025-10-31 17:06:20,988 ERROR: Encountered non-finite generator loss at iter 6066; skipping update. +2025-10-31 17:06:20,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:20,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:20,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:20,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:20,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.48, mean=-0.2047, std=2.763, absmax=14.48 +2025-10-31 17:06:20,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=11.79, mean=-0.213, std=2.247, absmax=11.79 +2025-10-31 17:06:21,492 ERROR: Encountered non-finite generator loss at iter 6067; skipping update. +2025-10-31 17:06:21,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:21,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:21,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:21,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:21,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:21,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=15.84, mean=-0.1027, std=3.14, absmax=15.84 +2025-10-31 17:06:21,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.371, max=9.753, mean=-0.1341, std=2.462, absmax=9.753 +2025-10-31 17:06:21,993 ERROR: Encountered non-finite generator loss at iter 6068; skipping update. +2025-10-31 17:06:21,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:21,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:21,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:21,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:22,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:22,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:22,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.38, mean=-0.308, std=2.671, absmax=13.79 +2025-10-31 17:06:22,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.979, max=8.378, mean=-0.3194, std=2.28, absmax=9.979 +2025-10-31 17:06:22,496 ERROR: Encountered non-finite generator loss at iter 6069; skipping update. +2025-10-31 17:06:22,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:22,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:22,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:22,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:22,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:22,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:22,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:22,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:22,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.42, mean=-0.2182, std=2.484, absmax=13.42 +2025-10-31 17:06:22,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.154, max=10.65, mean=-0.2156, std=2.145, absmax=10.65 +2025-10-31 17:06:22,998 ERROR: Encountered non-finite generator loss at iter 6070; skipping update. +2025-10-31 17:06:22,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:23,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:23,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.56, mean=-0.01952, std=3.577, absmax=14.56 +2025-10-31 17:06:23,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.51, mean=-0.05443, std=3.013, absmax=11.51 +2025-10-31 17:06:23,502 ERROR: Encountered non-finite generator loss at iter 6071; skipping update. +2025-10-31 17:06:23,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:23,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:23,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:23,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:23,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=16.61, mean=-0.3048, std=3.118, absmax=16.61 +2025-10-31 17:06:23,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=12.11, mean=-0.2848, std=2.627, absmax=12.11 +2025-10-31 17:06:24,005 ERROR: Encountered non-finite generator loss at iter 6072; skipping update. +2025-10-31 17:06:24,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:24,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:24,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.06, mean=-0.1208, std=3.261, absmax=13.92 +2025-10-31 17:06:24,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.15, max=12.08, mean=-0.1072, std=2.711, absmax=12.08 +2025-10-31 17:06:24,506 ERROR: Encountered non-finite generator loss at iter 6073; skipping update. +2025-10-31 17:06:24,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:24,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:24,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:24,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:24,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.2, mean=-0.1642, std=3.117, absmax=12.91 +2025-10-31 17:06:24,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.2, mean=-0.1786, std=2.63, absmax=10.47 +2025-10-31 17:06:25,009 ERROR: Encountered non-finite generator loss at iter 6074; skipping update. +2025-10-31 17:06:25,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,012 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,016 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:25,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:25,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.02, mean=-0.3796, std=3.326, absmax=14.29 +2025-10-31 17:06:25,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=9.117, mean=-0.2763, std=2.815, absmax=12.3 +2025-10-31 17:06:25,514 ERROR: Encountered non-finite generator loss at iter 6075; skipping update. +2025-10-31 17:06:25,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:25,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:25,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:25,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:25,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.68, mean=-0.1491, std=2.771, absmax=13.68 +2025-10-31 17:06:25,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.925, max=8.427, mean=-0.1266, std=2.189, absmax=8.925 +2025-10-31 17:06:26,018 ERROR: Encountered non-finite generator loss at iter 6076; skipping update. +2025-10-31 17:06:26,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:26,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:26,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.49, mean=-0.1322, std=3.324, absmax=13.06 +2025-10-31 17:06:26,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=10.04, mean=-0.1151, std=2.772, absmax=10.69 +2025-10-31 17:06:26,521 ERROR: Encountered non-finite generator loss at iter 6077; skipping update. +2025-10-31 17:06:26,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:26,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:26,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:26,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:26,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.23, mean=-0.2017, std=3.077, absmax=14.23 +2025-10-31 17:06:26,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.14, mean=-0.1828, std=2.606, absmax=10.75 +2025-10-31 17:06:27,025 ERROR: Encountered non-finite generator loss at iter 6078; skipping update. +2025-10-31 17:06:27,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:27,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:27,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=15.02, mean=0.01329, std=3.038, absmax=15.02 +2025-10-31 17:06:27,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=11.92, mean=0.01661, std=2.611, absmax=11.92 +2025-10-31 17:06:27,529 ERROR: Encountered non-finite generator loss at iter 6079; skipping update. +2025-10-31 17:06:27,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:27,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:27,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:27,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:27,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.59, mean=-0.1093, std=3.018, absmax=13.03 +2025-10-31 17:06:27,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.687, max=10.75, mean=-0.08533, std=2.422, absmax=10.75 +2025-10-31 17:06:28,033 ERROR: Encountered non-finite generator loss at iter 6080; skipping update. +2025-10-31 17:06:28,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,036 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:28,039 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:28,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.17, mean=-0.2724, std=3.255, absmax=14.17 +2025-10-31 17:06:28,041 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=8.928, mean=-0.2792, std=2.644, absmax=10.77 +2025-10-31 17:06:28,535 ERROR: Encountered non-finite generator loss at iter 6081; skipping update. +2025-10-31 17:06:28,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:28,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:28,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:28,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:28,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.6, mean=-0.002797, std=3.31, absmax=13.14 +2025-10-31 17:06:28,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=9.811, mean=-0.0061, std=2.855, absmax=12.09 +2025-10-31 17:06:29,037 ERROR: Encountered non-finite generator loss at iter 6082; skipping update. +2025-10-31 17:06:29,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:29,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:29,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.18, mean=-0.1233, std=3.086, absmax=12.18 +2025-10-31 17:06:29,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.94, mean=-0.1035, std=2.766, absmax=11.94 +2025-10-31 17:06:29,541 ERROR: Encountered non-finite generator loss at iter 6083; skipping update. +2025-10-31 17:06:29,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:29,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:29,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:29,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:29,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=16.03, mean=-0.262, std=2.888, absmax=16.03 +2025-10-31 17:06:29,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.378, max=8.724, mean=-0.2446, std=2.285, absmax=9.378 +2025-10-31 17:06:30,046 ERROR: Encountered non-finite generator loss at iter 6084; skipping update. +2025-10-31 17:06:30,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:30,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:30,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.09, mean=-0.2233, std=2.693, absmax=12.52 +2025-10-31 17:06:30,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.688, max=10.12, mean=-0.2472, std=2.258, absmax=10.12 +2025-10-31 17:06:30,549 ERROR: Encountered non-finite generator loss at iter 6085; skipping update. +2025-10-31 17:06:30,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:30,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:30,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:30,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:30,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.64, mean=-0.2888, std=2.59, absmax=12.64 +2025-10-31 17:06:30,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.332, max=9.941, mean=-0.2656, std=2.221, absmax=9.941 +2025-10-31 17:06:31,052 ERROR: Encountered non-finite generator loss at iter 6086; skipping update. +2025-10-31 17:06:31,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:31,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:31,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=10.15, mean=-0.3453, std=2.977, absmax=12.76 +2025-10-31 17:06:31,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.408, mean=-0.3077, std=2.656, absmax=11.12 +2025-10-31 17:06:31,554 ERROR: Encountered non-finite generator loss at iter 6087; skipping update. +2025-10-31 17:06:31,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:31,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:31,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:31,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:31,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.85, mean=-0.1348, std=3.093, absmax=12.75 +2025-10-31 17:06:31,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.854, mean=-0.1697, std=2.526, absmax=10.75 +2025-10-31 17:06:32,055 ERROR: Encountered non-finite generator loss at iter 6088; skipping update. +2025-10-31 17:06:32,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:32,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:32,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.01, mean=-0.1538, std=2.554, absmax=12.19 +2025-10-31 17:06:32,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.44, max=8.309, mean=-0.1576, std=2.285, absmax=8.44 +2025-10-31 17:06:32,560 ERROR: Encountered non-finite generator loss at iter 6089; skipping update. +2025-10-31 17:06:32,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:32,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:32,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:32,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:32,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.86, mean=0.02878, std=3.039, absmax=13.86 +2025-10-31 17:06:32,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.673, max=11.5, mean=0.03071, std=2.507, absmax=11.5 +2025-10-31 17:06:33,062 ERROR: Encountered non-finite generator loss at iter 6090; skipping update. +2025-10-31 17:06:33,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:33,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:33,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.51, mean=-0.1633, std=2.373, absmax=13.89 +2025-10-31 17:06:33,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=12.54, mean=-0.1979, std=2.04, absmax=12.54 +2025-10-31 17:06:33,566 ERROR: Encountered non-finite generator loss at iter 6091; skipping update. +2025-10-31 17:06:33,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:33,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:33,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:33,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:33,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=11.7, mean=-0.1712, std=3.044, absmax=14.13 +2025-10-31 17:06:33,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.85, max=9.982, mean=-0.1833, std=2.865, absmax=12.85 +2025-10-31 17:06:34,071 ERROR: Encountered non-finite generator loss at iter 6092; skipping update. +2025-10-31 17:06:34,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:34,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:34,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.34, mean=0.08821, std=3.148, absmax=14.34 +2025-10-31 17:06:34,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.63, mean=0.1301, std=2.782, absmax=11.52 +2025-10-31 17:06:34,577 ERROR: Encountered non-finite generator loss at iter 6093; skipping update. +2025-10-31 17:06:34,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:34,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:34,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:34,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:34,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=15.35, mean=0.0377, std=3.199, absmax=15.35 +2025-10-31 17:06:34,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.982, max=10.25, mean=-0.01042, std=2.674, absmax=10.25 +2025-10-31 17:06:35,081 ERROR: Encountered non-finite generator loss at iter 6094; skipping update. +2025-10-31 17:06:35,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:35,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:35,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.471, max=9.712, mean=-0.198, std=2.296, absmax=9.712 +2025-10-31 17:06:35,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.5, max=9.108, mean=-0.1361, std=2.271, absmax=9.5 +2025-10-31 17:06:35,587 ERROR: Encountered non-finite generator loss at iter 6095; skipping update. +2025-10-31 17:06:35,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:35,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:35,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:35,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:35,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.62, mean=-0.2101, std=2.918, absmax=12.36 +2025-10-31 17:06:35,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=7.474, mean=-0.2086, std=2.404, absmax=10.63 +2025-10-31 17:06:36,091 ERROR: Encountered non-finite generator loss at iter 6096; skipping update. +2025-10-31 17:06:36,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:36,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:36,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.36, mean=0.05834, std=3.398, absmax=13.36 +2025-10-31 17:06:36,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.14, mean=0.02044, std=2.923, absmax=10.26 +2025-10-31 17:06:36,598 ERROR: Encountered non-finite generator loss at iter 6097; skipping update. +2025-10-31 17:06:36,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:36,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:36,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:36,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:36,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.92, mean=-0.0911, std=3.031, absmax=13.92 +2025-10-31 17:06:36,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.594, max=12.06, mean=-0.1266, std=2.536, absmax=12.06 +2025-10-31 17:06:37,103 ERROR: Encountered non-finite generator loss at iter 6098; skipping update. +2025-10-31 17:06:37,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:37,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:37,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.41, mean=-0.05543, std=3.148, absmax=12.88 +2025-10-31 17:06:37,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.18, mean=-0.1014, std=2.629, absmax=10.18 +2025-10-31 17:06:37,609 ERROR: Encountered non-finite generator loss at iter 6099; skipping update. +2025-10-31 17:06:37,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:37,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:37,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:37,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:37,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.49, mean=-0.1042, std=2.957, absmax=12.49 +2025-10-31 17:06:37,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.595, mean=-0.1431, std=2.585, absmax=10.25 +2025-10-31 17:06:38,113 ERROR: Encountered non-finite generator loss at iter 6100; skipping update. +2025-10-31 17:06:38,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:38,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:38,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.58, mean=-0.1438, std=2.887, absmax=13.46 +2025-10-31 17:06:38,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=10.08, mean=-0.1266, std=2.415, absmax=11.65 +2025-10-31 17:06:38,125 INFO: [29..][epoch: 0, step: 6,100, lr:(1.500e-04,)] [eta: 1 day, 17:43:27, time (data): 0.504 (0.000)] +2025-10-31 17:06:38,619 ERROR: Encountered non-finite generator loss at iter 6101; skipping update. +2025-10-31 17:06:38,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:38,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:38,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:38,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:38,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=10.84, mean=-0.2547, std=3.04, absmax=12.67 +2025-10-31 17:06:38,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=8.996, mean=-0.2253, std=2.578, absmax=10.91 +2025-10-31 17:06:39,122 ERROR: Encountered non-finite generator loss at iter 6102; skipping update. +2025-10-31 17:06:39,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,129 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:39,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:39,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.97, mean=-0.2475, std=3.237, absmax=13.5 +2025-10-31 17:06:39,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.213, mean=-0.2146, std=2.658, absmax=10.63 +2025-10-31 17:06:39,628 ERROR: Encountered non-finite generator loss at iter 6103; skipping update. +2025-10-31 17:06:39,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:39,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:39,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:39,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:39,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.39, mean=-0.2995, std=2.81, absmax=11.58 +2025-10-31 17:06:39,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.685, max=8.103, mean=-0.2586, std=2.286, absmax=9.685 +2025-10-31 17:06:40,132 ERROR: Encountered non-finite generator loss at iter 6104; skipping update. +2025-10-31 17:06:40,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,135 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:40,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:40,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=11.31, mean=-0.2415, std=2.437, absmax=11.32 +2025-10-31 17:06:40,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.248, max=8.793, mean=-0.2114, std=2.031, absmax=9.248 +2025-10-31 17:06:40,639 ERROR: Encountered non-finite generator loss at iter 6105; skipping update. +2025-10-31 17:06:40,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:40,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:40,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:40,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:40,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.24, max=12.16, mean=-0.3018, std=2.782, absmax=16.24 +2025-10-31 17:06:40,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=8.106, mean=-0.2859, std=2.34, absmax=11.26 +2025-10-31 17:06:41,149 ERROR: Encountered non-finite generator loss at iter 6106; skipping update. +2025-10-31 17:06:41,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:41,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:41,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.96, mean=-0.1971, std=2.735, absmax=13.96 +2025-10-31 17:06:41,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.473, max=8.479, mean=-0.201, std=2.328, absmax=9.473 +2025-10-31 17:06:41,657 ERROR: Encountered non-finite generator loss at iter 6107; skipping update. +2025-10-31 17:06:41,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:41,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:41,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:41,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:41,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.82, mean=0.01689, std=3.591, absmax=14.13 +2025-10-31 17:06:41,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=13.71, mean=0.02814, std=3.078, absmax=13.71 +2025-10-31 17:06:42,165 ERROR: Encountered non-finite generator loss at iter 6108; skipping update. +2025-10-31 17:06:42,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:42,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:42,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12.85, mean=-0.02359, std=3.025, absmax=14.49 +2025-10-31 17:06:42,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.761, mean=-0.06297, std=2.356, absmax=10.09 +2025-10-31 17:06:42,669 ERROR: Encountered non-finite generator loss at iter 6109; skipping update. +2025-10-31 17:06:42,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:42,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:42,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:42,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:42,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.83, mean=-0.1429, std=3.442, absmax=14.26 +2025-10-31 17:06:42,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=9.86, mean=-0.1108, std=2.865, absmax=11.95 +2025-10-31 17:06:43,175 ERROR: Encountered non-finite generator loss at iter 6110; skipping update. +2025-10-31 17:06:43,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:43,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:43,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.69, mean=-0.163, std=2.742, absmax=12.69 +2025-10-31 17:06:43,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.728, max=10.84, mean=-0.1994, std=2.312, absmax=10.84 +2025-10-31 17:06:43,680 ERROR: Encountered non-finite generator loss at iter 6111; skipping update. +2025-10-31 17:06:43,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:43,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:43,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:43,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:43,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.12, mean=-0.1287, std=2.669, absmax=11.85 +2025-10-31 17:06:43,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=10.87, mean=-0.1006, std=2.37, absmax=10.87 +2025-10-31 17:06:44,186 ERROR: Encountered non-finite generator loss at iter 6112; skipping update. +2025-10-31 17:06:44,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:44,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:44,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.53, mean=-0.1838, std=3.422, absmax=13.53 +2025-10-31 17:06:44,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=9.098, mean=-0.2166, std=2.902, absmax=11.61 +2025-10-31 17:06:44,690 ERROR: Encountered non-finite generator loss at iter 6113; skipping update. +2025-10-31 17:06:44,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:44,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:44,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:44,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:44,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.53, mean=-0.1137, std=3.28, absmax=13.67 +2025-10-31 17:06:44,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=9.377, mean=-0.1291, std=2.55, absmax=12.01 +2025-10-31 17:06:45,196 ERROR: Encountered non-finite generator loss at iter 6114; skipping update. +2025-10-31 17:06:45,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:45,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:45,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.52, mean=-0.2771, std=2.704, absmax=13.39 +2025-10-31 17:06:45,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.604, max=8.831, mean=-0.2319, std=2.42, absmax=9.604 +2025-10-31 17:06:45,700 ERROR: Encountered non-finite generator loss at iter 6115; skipping update. +2025-10-31 17:06:45,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:45,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:45,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:45,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:45,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.25, mean=-0.1523, std=3.278, absmax=13.25 +2025-10-31 17:06:45,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.4, mean=-0.1595, std=2.682, absmax=10.4 +2025-10-31 17:06:46,203 ERROR: Encountered non-finite generator loss at iter 6116; skipping update. +2025-10-31 17:06:46,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:46,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:46,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=14.85, mean=0.103, std=3.203, absmax=14.85 +2025-10-31 17:06:46,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.92, max=10.63, mean=0.07991, std=2.729, absmax=10.63 +2025-10-31 17:06:46,707 ERROR: Encountered non-finite generator loss at iter 6117; skipping update. +2025-10-31 17:06:46,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,711 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:46,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:46,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:46,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:46,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.27, mean=-0.2349, std=3.289, absmax=13.27 +2025-10-31 17:06:46,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=8.13, mean=-0.2432, std=2.947, absmax=12.05 +2025-10-31 17:06:47,212 ERROR: Encountered non-finite generator loss at iter 6118; skipping update. +2025-10-31 17:06:47,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:47,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:47,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.11, mean=-0.1992, std=3.345, absmax=13.76 +2025-10-31 17:06:47,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=10.4, mean=-0.2369, std=2.579, absmax=10.4 +2025-10-31 17:06:47,716 ERROR: Encountered non-finite generator loss at iter 6119; skipping update. +2025-10-31 17:06:47,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:47,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:47,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:47,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:47,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.25, mean=0.05504, std=3.578, absmax=14.25 +2025-10-31 17:06:47,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=11.54, mean=0.03448, std=2.851, absmax=11.54 +2025-10-31 17:06:48,220 ERROR: Encountered non-finite generator loss at iter 6120; skipping update. +2025-10-31 17:06:48,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,223 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,224 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,225 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:48,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:48,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.11, mean=-0.2831, std=2.865, absmax=15.11 +2025-10-31 17:06:48,229 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=10.82, mean=-0.261, std=2.311, absmax=10.82 +2025-10-31 17:06:48,722 ERROR: Encountered non-finite generator loss at iter 6121; skipping update. +2025-10-31 17:06:48,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:48,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:48,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:48,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:48,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.66, mean=0.1352, std=3.105, absmax=14.66 +2025-10-31 17:06:48,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.525, max=10.22, mean=0.09312, std=2.536, absmax=10.22 +2025-10-31 17:06:49,226 ERROR: Encountered non-finite generator loss at iter 6122; skipping update. +2025-10-31 17:06:49,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:49,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:49,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.02, mean=-0.2501, std=3.085, absmax=13.73 +2025-10-31 17:06:49,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.937, mean=-0.2063, std=2.493, absmax=10.17 +2025-10-31 17:06:49,731 ERROR: Encountered non-finite generator loss at iter 6123; skipping update. +2025-10-31 17:06:49,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:49,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:49,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:49,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:49,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=11.01, mean=-0.09048, std=2.942, absmax=15.12 +2025-10-31 17:06:49,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.616, mean=-0.09293, std=2.527, absmax=11.54 +2025-10-31 17:06:50,234 ERROR: Encountered non-finite generator loss at iter 6124; skipping update. +2025-10-31 17:06:50,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:50,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:50,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.8, mean=-0.2226, std=2.775, absmax=12.89 +2025-10-31 17:06:50,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.688, max=9.256, mean=-0.2654, std=2.538, absmax=9.688 +2025-10-31 17:06:50,737 ERROR: Encountered non-finite generator loss at iter 6125; skipping update. +2025-10-31 17:06:50,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:50,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:50,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:50,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:50,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.67, mean=-0.03927, std=3.272, absmax=13.67 +2025-10-31 17:06:50,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.45, mean=-4.191e-05, std=2.895, absmax=11.45 +2025-10-31 17:06:51,239 ERROR: Encountered non-finite generator loss at iter 6126; skipping update. +2025-10-31 17:06:51,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,242 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:51,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:51,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=11.28, mean=-0.352, std=3.299, absmax=14.13 +2025-10-31 17:06:51,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=9.215, mean=-0.326, std=2.654, absmax=11.43 +2025-10-31 17:06:51,743 ERROR: Encountered non-finite generator loss at iter 6127; skipping update. +2025-10-31 17:06:51,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:51,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:51,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:51,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:51,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.89, mean=-0.2917, std=3.107, absmax=11.89 +2025-10-31 17:06:51,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.825, max=8.318, mean=-0.3096, std=2.526, absmax=9.825 +2025-10-31 17:06:52,244 ERROR: Encountered non-finite generator loss at iter 6128; skipping update. +2025-10-31 17:06:52,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:52,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:52,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.34, mean=-0.1769, std=2.64, absmax=12.34 +2025-10-31 17:06:52,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=10.09, mean=-0.1843, std=2.324, absmax=10.09 +2025-10-31 17:06:52,747 ERROR: Encountered non-finite generator loss at iter 6129; skipping update. +2025-10-31 17:06:52,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:52,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:52,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:52,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:52,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.73, mean=-0.059, std=3.209, absmax=14.73 +2025-10-31 17:06:52,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.698, max=10.65, mean=-0.05379, std=2.535, absmax=10.65 +2025-10-31 17:06:53,249 ERROR: Encountered non-finite generator loss at iter 6130; skipping update. +2025-10-31 17:06:53,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:53,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:53,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=13.97, mean=-0.01858, std=3.088, absmax=14.16 +2025-10-31 17:06:53,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.69, mean=-0.05531, std=2.512, absmax=11.69 +2025-10-31 17:06:53,750 ERROR: Encountered non-finite generator loss at iter 6131; skipping update. +2025-10-31 17:06:53,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:53,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:53,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:53,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:53,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=14.81, mean=-0.06147, std=3.242, absmax=14.81 +2025-10-31 17:06:53,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.34, max=12.15, mean=-0.1211, std=2.711, absmax=13.34 +2025-10-31 17:06:54,253 ERROR: Encountered non-finite generator loss at iter 6132; skipping update. +2025-10-31 17:06:54,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:54,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:54,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.25, mean=-0.142, std=2.742, absmax=13.25 +2025-10-31 17:06:54,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.957, max=10.24, mean=-0.1707, std=2.294, absmax=10.24 +2025-10-31 17:06:54,757 ERROR: Encountered non-finite generator loss at iter 6133; skipping update. +2025-10-31 17:06:54,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:54,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:54,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:54,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:54,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=12.53, mean=-0.1694, std=2.614, absmax=15.26 +2025-10-31 17:06:54,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.43, mean=-0.2071, std=2.327, absmax=10.43 +2025-10-31 17:06:55,259 ERROR: Encountered non-finite generator loss at iter 6134; skipping update. +2025-10-31 17:06:55,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:55,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:55,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.25, mean=0.07209, std=3.082, absmax=13.25 +2025-10-31 17:06:55,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.15, mean=0.03017, std=2.612, absmax=10.15 +2025-10-31 17:06:55,765 ERROR: Encountered non-finite generator loss at iter 6135; skipping update. +2025-10-31 17:06:55,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:55,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:55,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:55,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:55,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.52, max=13.06, mean=-0.184, std=2.541, absmax=13.06 +2025-10-31 17:06:55,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.341, max=9.447, mean=-0.1862, std=2.17, absmax=9.447 +2025-10-31 17:06:56,268 ERROR: Encountered non-finite generator loss at iter 6136; skipping update. +2025-10-31 17:06:56,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:56,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:56,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.18, mean=-0.2608, std=2.915, absmax=12.18 +2025-10-31 17:06:56,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.12, max=11.49, mean=-0.253, std=2.391, absmax=11.49 +2025-10-31 17:06:56,771 ERROR: Encountered non-finite generator loss at iter 6137; skipping update. +2025-10-31 17:06:56,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:56,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:56,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:56,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:56,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14, mean=0.05218, std=3.913, absmax=14.25 +2025-10-31 17:06:56,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=11.21, mean=0.01405, std=3.155, absmax=12.21 +2025-10-31 17:06:57,272 ERROR: Encountered non-finite generator loss at iter 6138; skipping update. +2025-10-31 17:06:57,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:57,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:57,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=13.8, mean=0.05706, std=4.071, absmax=14.97 +2025-10-31 17:06:57,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=11.48, mean=0.01648, std=3.421, absmax=11.57 +2025-10-31 17:06:57,772 ERROR: Encountered non-finite generator loss at iter 6139; skipping update. +2025-10-31 17:06:57,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:57,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:57,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:57,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:57,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=15.48, mean=-0.2931, std=2.739, absmax=15.48 +2025-10-31 17:06:57,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.087, max=8.774, mean=-0.2491, std=2.302, absmax=9.087 +2025-10-31 17:06:58,274 ERROR: Encountered non-finite generator loss at iter 6140; skipping update. +2025-10-31 17:06:58,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:58,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:58,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.08, mean=-0.09793, std=3.028, absmax=13.08 +2025-10-31 17:06:58,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=10.78, mean=-0.09475, std=2.403, absmax=10.78 +2025-10-31 17:06:58,775 ERROR: Encountered non-finite generator loss at iter 6141; skipping update. +2025-10-31 17:06:58,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:58,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:58,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:58,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:58,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.66, mean=0.006781, std=3.107, absmax=12.66 +2025-10-31 17:06:58,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=10.03, mean=-0.02542, std=2.544, absmax=10.03 +2025-10-31 17:06:59,276 ERROR: Encountered non-finite generator loss at iter 6142; skipping update. +2025-10-31 17:06:59,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:59,283 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:59,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.83, mean=-0.2518, std=3.071, absmax=12.83 +2025-10-31 17:06:59,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=8.928, mean=-0.2182, std=2.556, absmax=12.07 +2025-10-31 17:06:59,777 ERROR: Encountered non-finite generator loss at iter 6143; skipping update. +2025-10-31 17:06:59,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:06:59,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:06:59,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:06:59,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:06:59,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.99, mean=-0.3068, std=2.356, absmax=11.99 +2025-10-31 17:06:59,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.637, max=8.374, mean=-0.3191, std=2.04, absmax=8.637 +2025-10-31 17:07:00,279 ERROR: Encountered non-finite generator loss at iter 6144; skipping update. +2025-10-31 17:07:00,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:00,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:00,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.9, mean=0.1127, std=3.37, absmax=13.9 +2025-10-31 17:07:00,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.844, max=10.56, mean=0.08818, std=2.822, absmax=10.56 +2025-10-31 17:07:00,780 ERROR: Encountered non-finite generator loss at iter 6145; skipping update. +2025-10-31 17:07:00,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:00,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:00,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:00,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:00,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.4, max=14.91, mean=-0.01, std=3.77, absmax=19.4 +2025-10-31 17:07:00,789 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.29, max=11.68, mean=-0.01805, std=3.07, absmax=14.29 +2025-10-31 17:07:01,282 ERROR: Encountered non-finite generator loss at iter 6146; skipping update. +2025-10-31 17:07:01,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:01,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:01,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.93, mean=-0.122, std=3.398, absmax=13.7 +2025-10-31 17:07:01,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10, mean=-0.07623, std=3.088, absmax=10.4 +2025-10-31 17:07:01,783 ERROR: Encountered non-finite generator loss at iter 6147; skipping update. +2025-10-31 17:07:01,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:01,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:01,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:01,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:01,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=14.16, mean=-0.106, std=3.006, absmax=14.16 +2025-10-31 17:07:01,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.765, max=11.41, mean=-0.1245, std=2.322, absmax=11.41 +2025-10-31 17:07:02,285 ERROR: Encountered non-finite generator loss at iter 6148; skipping update. +2025-10-31 17:07:02,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:02,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:02,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.96, mean=-0.3825, std=2.972, absmax=13.96 +2025-10-31 17:07:02,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.74, mean=-0.3504, std=2.537, absmax=11.05 +2025-10-31 17:07:02,788 ERROR: Encountered non-finite generator loss at iter 6149; skipping update. +2025-10-31 17:07:02,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:02,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:02,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:02,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:02,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.91, mean=-0.1141, std=3.091, absmax=14.15 +2025-10-31 17:07:02,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=11.51, mean=-0.121, std=2.574, absmax=11.51 +2025-10-31 17:07:03,288 ERROR: Encountered non-finite generator loss at iter 6150; skipping update. +2025-10-31 17:07:03,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,292 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,293 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,294 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:03,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:03,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=18.46, mean=-0.1527, std=2.834, absmax=18.46 +2025-10-31 17:07:03,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.556, max=9.798, mean=-0.1699, std=2.365, absmax=9.798 +2025-10-31 17:07:03,792 ERROR: Encountered non-finite generator loss at iter 6151; skipping update. +2025-10-31 17:07:03,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,794 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:03,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:03,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:03,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:03,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.79, max=13.36, mean=-0.3234, std=2.885, absmax=18.79 +2025-10-31 17:07:03,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=8.144, mean=-0.2678, std=2.422, absmax=10.87 +2025-10-31 17:07:04,291 ERROR: Encountered non-finite generator loss at iter 6152; skipping update. +2025-10-31 17:07:04,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:04,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:04,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=15.18, mean=-0.2675, std=3.143, absmax=15.18 +2025-10-31 17:07:04,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.81, mean=-0.2224, std=2.552, absmax=12.81 +2025-10-31 17:07:04,793 ERROR: Encountered non-finite generator loss at iter 6153; skipping update. +2025-10-31 17:07:04,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,796 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:04,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:04,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:04,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:04,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=15.45, mean=-0.1391, std=2.759, absmax=15.45 +2025-10-31 17:07:04,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=10.39, mean=-0.1425, std=2.286, absmax=10.65 +2025-10-31 17:07:05,294 ERROR: Encountered non-finite generator loss at iter 6154; skipping update. +2025-10-31 17:07:05,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:05,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:05,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=15.36, mean=0.02346, std=3.32, absmax=15.36 +2025-10-31 17:07:05,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=12.79, mean=0.04619, std=2.796, absmax=12.79 +2025-10-31 17:07:05,796 ERROR: Encountered non-finite generator loss at iter 6155; skipping update. +2025-10-31 17:07:05,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:05,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:05,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:05,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:05,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.33, mean=-0.1058, std=3.118, absmax=13.41 +2025-10-31 17:07:05,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=10.39, mean=-0.1012, std=2.616, absmax=11.89 +2025-10-31 17:07:06,296 ERROR: Encountered non-finite generator loss at iter 6156; skipping update. +2025-10-31 17:07:06,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,298 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,299 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,301 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:06,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:06,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.93, mean=-0.1749, std=2.966, absmax=12.93 +2025-10-31 17:07:06,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.878, max=10.05, mean=-0.1273, std=2.531, absmax=10.05 +2025-10-31 17:07:06,797 ERROR: Encountered non-finite generator loss at iter 6157; skipping update. +2025-10-31 17:07:06,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:06,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:06,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:06,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:06,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.27, mean=-0.06238, std=3.251, absmax=13.27 +2025-10-31 17:07:06,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.77, mean=-0.09362, std=2.776, absmax=11.77 +2025-10-31 17:07:07,300 ERROR: Encountered non-finite generator loss at iter 6158; skipping update. +2025-10-31 17:07:07,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:07,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:07,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=15.01, mean=-0.318, std=3.299, absmax=15.01 +2025-10-31 17:07:07,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=11, mean=-0.2794, std=2.75, absmax=11.27 +2025-10-31 17:07:07,802 ERROR: Encountered non-finite generator loss at iter 6159; skipping update. +2025-10-31 17:07:07,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:07,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:07,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:07,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:07,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=12.61, mean=-0.1928, std=3.209, absmax=14.16 +2025-10-31 17:07:07,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.998, mean=-0.1651, std=2.659, absmax=11 +2025-10-31 17:07:08,303 ERROR: Encountered non-finite generator loss at iter 6160; skipping update. +2025-10-31 17:07:08,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:08,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:08,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.86, mean=0.06158, std=3.378, absmax=13.86 +2025-10-31 17:07:08,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=12.11, mean=0.05002, std=2.831, absmax=12.11 +2025-10-31 17:07:08,805 ERROR: Encountered non-finite generator loss at iter 6161; skipping update. +2025-10-31 17:07:08,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:08,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:08,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:08,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:08,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.03, mean=-0.1692, std=2.835, absmax=14.03 +2025-10-31 17:07:08,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.232, max=10.1, mean=-0.1719, std=2.265, absmax=10.1 +2025-10-31 17:07:09,305 ERROR: Encountered non-finite generator loss at iter 6162; skipping update. +2025-10-31 17:07:09,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:09,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:09,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=16.28, mean=-0.1481, std=3.423, absmax=16.28 +2025-10-31 17:07:09,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=11.96, mean=-0.1216, std=2.821, absmax=11.96 +2025-10-31 17:07:09,807 ERROR: Encountered non-finite generator loss at iter 6163; skipping update. +2025-10-31 17:07:09,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:09,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:09,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:09,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:09,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=13.4, mean=-0.2962, std=3.577, absmax=14.37 +2025-10-31 17:07:09,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=12.71, mean=-0.2836, std=2.88, absmax=12.71 +2025-10-31 17:07:10,309 ERROR: Encountered non-finite generator loss at iter 6164; skipping update. +2025-10-31 17:07:10,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:10,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:10,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.2, mean=-0.2315, std=2.773, absmax=13.23 +2025-10-31 17:07:10,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.199, mean=-0.2501, std=2.17, absmax=10.02 +2025-10-31 17:07:10,814 ERROR: Encountered non-finite generator loss at iter 6165; skipping update. +2025-10-31 17:07:10,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:10,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:10,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:10,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:10,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.53, mean=-0.2488, std=3.343, absmax=13.54 +2025-10-31 17:07:10,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.5, mean=-0.2457, std=2.757, absmax=11.5 +2025-10-31 17:07:11,321 ERROR: Encountered non-finite generator loss at iter 6166; skipping update. +2025-10-31 17:07:11,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,325 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:11,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:11,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.3, mean=-0.03966, std=3.329, absmax=12.3 +2025-10-31 17:07:11,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=10.91, mean=-0.04488, std=2.76, absmax=10.96 +2025-10-31 17:07:11,827 ERROR: Encountered non-finite generator loss at iter 6167; skipping update. +2025-10-31 17:07:11,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,830 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:11,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:11,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:11,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:11,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.76, mean=-0.1144, std=2.866, absmax=12.46 +2025-10-31 17:07:11,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.457, max=9.867, mean=-0.1347, std=2.364, absmax=9.867 +2025-10-31 17:07:12,331 ERROR: Encountered non-finite generator loss at iter 6168; skipping update. +2025-10-31 17:07:12,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:12,338 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:12,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=16.98, mean=-0.1669, std=3.176, absmax=16.98 +2025-10-31 17:07:12,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=12.32, mean=-0.1427, std=2.562, absmax=12.32 +2025-10-31 17:07:12,836 ERROR: Encountered non-finite generator loss at iter 6169; skipping update. +2025-10-31 17:07:12,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:12,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:12,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:12,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:12,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.06, mean=-0.276, std=2.603, absmax=14.17 +2025-10-31 17:07:12,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.109, max=9.426, mean=-0.2682, std=2.25, absmax=9.426 +2025-10-31 17:07:13,343 ERROR: Encountered non-finite generator loss at iter 6170; skipping update. +2025-10-31 17:07:13,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:13,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:13,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=14.95, mean=-0.1129, std=3.38, absmax=14.95 +2025-10-31 17:07:13,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=10.08, mean=-0.09484, std=2.813, absmax=11.01 +2025-10-31 17:07:13,848 ERROR: Encountered non-finite generator loss at iter 6171; skipping update. +2025-10-31 17:07:13,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:13,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:13,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:13,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:13,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.48, mean=0.3015, std=3.765, absmax=14.48 +2025-10-31 17:07:13,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.96, mean=0.2337, std=3.092, absmax=11.96 +2025-10-31 17:07:14,354 ERROR: Encountered non-finite generator loss at iter 6172; skipping update. +2025-10-31 17:07:14,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:14,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:14,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.72, mean=-0.1315, std=3.327, absmax=13.72 +2025-10-31 17:07:14,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=11.9, mean=-0.1328, std=2.846, absmax=11.9 +2025-10-31 17:07:14,859 ERROR: Encountered non-finite generator loss at iter 6173; skipping update. +2025-10-31 17:07:14,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:14,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:14,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:14,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:14,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.97, mean=-0.3509, std=3.109, absmax=12.01 +2025-10-31 17:07:14,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.792, max=9.493, mean=-0.3672, std=2.619, absmax=9.792 +2025-10-31 17:07:15,366 ERROR: Encountered non-finite generator loss at iter 6174; skipping update. +2025-10-31 17:07:15,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:15,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:15,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.32, mean=-0.3209, std=2.508, absmax=12.32 +2025-10-31 17:07:15,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=7.183, mean=-0.2555, std=2.113, absmax=9.601 +2025-10-31 17:07:15,873 ERROR: Encountered non-finite generator loss at iter 6175; skipping update. +2025-10-31 17:07:15,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:15,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:15,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:15,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:15,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=15.09, mean=0.1089, std=3.582, absmax=15.09 +2025-10-31 17:07:15,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=13.01, mean=0.04988, std=2.975, absmax=13.01 +2025-10-31 17:07:16,379 ERROR: Encountered non-finite generator loss at iter 6176; skipping update. +2025-10-31 17:07:16,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:16,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:16,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=10.14, mean=-0.2623, std=2.372, absmax=12.06 +2025-10-31 17:07:16,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=8.503, mean=-0.214, std=2.081, absmax=9.242 +2025-10-31 17:07:16,886 ERROR: Encountered non-finite generator loss at iter 6177; skipping update. +2025-10-31 17:07:16,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,888 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,890 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,891 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:16,892 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:16,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:16,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:16,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.78, mean=0.08431, std=3.232, absmax=13.78 +2025-10-31 17:07:16,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=11.49, mean=0.07866, std=2.787, absmax=11.49 +2025-10-31 17:07:17,388 ERROR: Encountered non-finite generator loss at iter 6178; skipping update. +2025-10-31 17:07:17,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,392 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,394 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:17,397 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:17,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.13, mean=-0.2389, std=3.207, absmax=14.13 +2025-10-31 17:07:17,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=12.08, mean=-0.2252, std=2.552, absmax=12.08 +2025-10-31 17:07:17,895 ERROR: Encountered non-finite generator loss at iter 6179; skipping update. +2025-10-31 17:07:17,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:17,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:17,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:17,902 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:17,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=14.14, mean=-0.1823, std=4.005, absmax=15.11 +2025-10-31 17:07:17,904 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.43, max=11.2, mean=-0.1687, std=3.446, absmax=13.43 +2025-10-31 17:07:18,400 ERROR: Encountered non-finite generator loss at iter 6180; skipping update. +2025-10-31 17:07:18,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,406 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,407 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:18,408 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:18,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=14.8, mean=-0.08943, std=3.527, absmax=14.8 +2025-10-31 17:07:18,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.952, mean=-0.06102, std=2.782, absmax=10.95 +2025-10-31 17:07:18,906 ERROR: Encountered non-finite generator loss at iter 6181; skipping update. +2025-10-31 17:07:18,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:18,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:18,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:18,913 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:18,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.54, mean=-0.1207, std=2.751, absmax=12.1 +2025-10-31 17:07:18,915 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=9.067, mean=-0.1334, std=2.389, absmax=9.147 +2025-10-31 17:07:19,409 ERROR: Encountered non-finite generator loss at iter 6182; skipping update. +2025-10-31 17:07:19,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,412 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:19,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:19,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.85, mean=-0.2793, std=2.688, absmax=13.21 +2025-10-31 17:07:19,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.06, mean=-0.2614, std=2.247, absmax=10.34 +2025-10-31 17:07:19,912 ERROR: Encountered non-finite generator loss at iter 6183; skipping update. +2025-10-31 17:07:19,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:19,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:19,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:19,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:19,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=10.54, mean=-0.297, std=3.267, absmax=13.38 +2025-10-31 17:07:19,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.598, mean=-0.2791, std=2.68, absmax=10.57 +2025-10-31 17:07:20,417 ERROR: Encountered non-finite generator loss at iter 6184; skipping update. +2025-10-31 17:07:20,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,420 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:20,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:20,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.78, mean=0.06607, std=3.436, absmax=13.04 +2025-10-31 17:07:20,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.61, mean=0.04326, std=2.937, absmax=11.13 +2025-10-31 17:07:20,921 ERROR: Encountered non-finite generator loss at iter 6185; skipping update. +2025-10-31 17:07:20,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:20,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:20,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:20,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:20,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.02, mean=-0.1141, std=3.043, absmax=14.02 +2025-10-31 17:07:20,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=10.64, mean=-0.08739, std=2.579, absmax=12.71 +2025-10-31 17:07:21,426 ERROR: Encountered non-finite generator loss at iter 6186; skipping update. +2025-10-31 17:07:21,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:21,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:21,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.41, mean=-0.1679, std=3.041, absmax=13.97 +2025-10-31 17:07:21,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.08, mean=-0.153, std=2.505, absmax=10.65 +2025-10-31 17:07:21,930 ERROR: Encountered non-finite generator loss at iter 6187; skipping update. +2025-10-31 17:07:21,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:21,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:21,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:21,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:21,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=11.71, mean=-0.1528, std=2.58, absmax=11.71 +2025-10-31 17:07:21,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.725, max=8.996, mean=-0.1599, std=2.248, absmax=8.996 +2025-10-31 17:07:22,435 ERROR: Encountered non-finite generator loss at iter 6188; skipping update. +2025-10-31 17:07:22,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:22,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:22,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=14.66, mean=-0.04992, std=2.814, absmax=14.66 +2025-10-31 17:07:22,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.649, max=11.18, mean=-0.04477, std=2.57, absmax=11.18 +2025-10-31 17:07:22,940 ERROR: Encountered non-finite generator loss at iter 6189; skipping update. +2025-10-31 17:07:22,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:22,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:22,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:22,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:22,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=14.13, mean=-0.2931, std=3.163, absmax=14.13 +2025-10-31 17:07:22,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=12.23, mean=-0.3115, std=2.656, absmax=12.23 +2025-10-31 17:07:23,445 ERROR: Encountered non-finite generator loss at iter 6190; skipping update. +2025-10-31 17:07:23,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:23,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:23,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.14, mean=-0.2427, std=2.816, absmax=13.57 +2025-10-31 17:07:23,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.475, mean=-0.2555, std=2.363, absmax=10.54 +2025-10-31 17:07:23,949 ERROR: Encountered non-finite generator loss at iter 6191; skipping update. +2025-10-31 17:07:23,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,952 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:23,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:23,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:23,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:23,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14.28, mean=0.1492, std=3.797, absmax=14.37 +2025-10-31 17:07:23,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.65, mean=0.1132, std=3.213, absmax=10.82 +2025-10-31 17:07:24,453 ERROR: Encountered non-finite generator loss at iter 6192; skipping update. +2025-10-31 17:07:24,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:24,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:24,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11, mean=-0.1837, std=2.652, absmax=12.4 +2025-10-31 17:07:24,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.23, max=8.984, mean=-0.2059, std=2.073, absmax=8.984 +2025-10-31 17:07:24,960 ERROR: Encountered non-finite generator loss at iter 6193; skipping update. +2025-10-31 17:07:24,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:24,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:24,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:24,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:24,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.2, mean=-0.2799, std=2.863, absmax=11.91 +2025-10-31 17:07:24,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.492, max=8.684, mean=-0.2718, std=2.382, absmax=9.492 +2025-10-31 17:07:25,466 ERROR: Encountered non-finite generator loss at iter 6194; skipping update. +2025-10-31 17:07:25,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:25,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:25,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.41, mean=-0.07822, std=2.769, absmax=11.78 +2025-10-31 17:07:25,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.216, max=9.712, mean=-0.0852, std=2.213, absmax=9.712 +2025-10-31 17:07:25,973 ERROR: Encountered non-finite generator loss at iter 6195; skipping update. +2025-10-31 17:07:25,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:25,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:25,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:25,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:25,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.07, mean=-0.1608, std=3.372, absmax=14.07 +2025-10-31 17:07:25,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.965, max=12.2, mean=-0.1387, std=2.77, absmax=12.2 +2025-10-31 17:07:26,479 ERROR: Encountered non-finite generator loss at iter 6196; skipping update. +2025-10-31 17:07:26,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:26,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:26,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.16, mean=-0.2468, std=2.775, absmax=11.76 +2025-10-31 17:07:26,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.037, mean=-0.2535, std=2.323, absmax=10.38 +2025-10-31 17:07:26,985 ERROR: Encountered non-finite generator loss at iter 6197; skipping update. +2025-10-31 17:07:26,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:26,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:26,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:26,995 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:26,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=16.91, mean=0.04109, std=3.47, absmax=16.91 +2025-10-31 17:07:26,997 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.627, max=12.73, mean=0.007833, std=2.824, absmax=12.73 +2025-10-31 17:07:27,493 ERROR: Encountered non-finite generator loss at iter 6198; skipping update. +2025-10-31 17:07:27,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:27,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:27,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:27,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:27,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:27,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:27,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:27,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:27,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.72, mean=-0.1345, std=3.404, absmax=12.87 +2025-10-31 17:07:27,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.87, mean=-0.1357, std=2.809, absmax=10.87 +2025-10-31 17:07:27,999 ERROR: Encountered non-finite generator loss at iter 6199; skipping update. +2025-10-31 17:07:28,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:28,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:28,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.13, mean=-0.05635, std=2.998, absmax=13.13 +2025-10-31 17:07:28,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.473, max=9.652, mean=-0.04881, std=2.411, absmax=9.652 +2025-10-31 17:07:28,503 ERROR: Encountered non-finite generator loss at iter 6200; skipping update. +2025-10-31 17:07:28,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:28,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:28,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:28,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:28,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=14.91, mean=-0.0859, std=3.395, absmax=15.3 +2025-10-31 17:07:28,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=11.87, mean=-0.1044, std=2.753, absmax=11.87 +2025-10-31 17:07:28,514 INFO: [29..][epoch: 0, step: 6,200, lr:(1.500e-04,)] [eta: 1 day, 17:35:05, time (data): 0.504 (0.000)] +2025-10-31 17:07:29,009 ERROR: Encountered non-finite generator loss at iter 6201; skipping update. +2025-10-31 17:07:29,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:29,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:29,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=10.12, mean=-0.325, std=2.729, absmax=13.53 +2025-10-31 17:07:29,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=7.776, mean=-0.2959, std=2.391, absmax=11.78 +2025-10-31 17:07:29,515 ERROR: Encountered non-finite generator loss at iter 6202; skipping update. +2025-10-31 17:07:29,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:29,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:29,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:29,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:29,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.4, mean=0.02798, std=3.027, absmax=13.4 +2025-10-31 17:07:29,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.751, max=10.54, mean=-0.04185, std=2.413, absmax=10.54 +2025-10-31 17:07:30,020 ERROR: Encountered non-finite generator loss at iter 6203; skipping update. +2025-10-31 17:07:30,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:30,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:30,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=19.76, mean=0.02211, std=3.55, absmax=19.76 +2025-10-31 17:07:30,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.03, max=12.61, mean=0.04575, std=3.057, absmax=12.61 +2025-10-31 17:07:30,523 ERROR: Encountered non-finite generator loss at iter 6204; skipping update. +2025-10-31 17:07:30,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:30,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:30,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:30,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:30,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.46, mean=-0.2184, std=2.84, absmax=12.46 +2025-10-31 17:07:30,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.028, max=8.532, mean=-0.1861, std=2.282, absmax=9.028 +2025-10-31 17:07:31,028 ERROR: Encountered non-finite generator loss at iter 6205; skipping update. +2025-10-31 17:07:31,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:31,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:31,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.27, mean=-0.1804, std=2.632, absmax=14.27 +2025-10-31 17:07:31,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=8.021, mean=-0.1855, std=2.227, absmax=9.16 +2025-10-31 17:07:31,534 ERROR: Encountered non-finite generator loss at iter 6206; skipping update. +2025-10-31 17:07:31,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:31,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:31,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:31,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:31,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.66, mean=-0.2375, std=3.213, absmax=12.9 +2025-10-31 17:07:31,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.655, mean=-0.227, std=2.56, absmax=10.01 +2025-10-31 17:07:32,040 ERROR: Encountered non-finite generator loss at iter 6207; skipping update. +2025-10-31 17:07:32,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:32,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:32,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=9.223, mean=-0.3069, std=2.739, absmax=12.27 +2025-10-31 17:07:32,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.499, max=7.233, mean=-0.2972, std=2.106, absmax=9.499 +2025-10-31 17:07:32,547 ERROR: Encountered non-finite generator loss at iter 6208; skipping update. +2025-10-31 17:07:32,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:32,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:32,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:32,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:32,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.43, mean=-0.1455, std=3.07, absmax=15.43 +2025-10-31 17:07:32,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.95, mean=-0.1407, std=2.703, absmax=11.07 +2025-10-31 17:07:33,052 ERROR: Encountered non-finite generator loss at iter 6209; skipping update. +2025-10-31 17:07:33,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:33,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:33,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.47, mean=-0.289, std=3.084, absmax=12.55 +2025-10-31 17:07:33,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.478, mean=-0.3039, std=2.653, absmax=10.73 +2025-10-31 17:07:33,556 ERROR: Encountered non-finite generator loss at iter 6210; skipping update. +2025-10-31 17:07:33,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:33,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:33,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:33,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:33,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.23, mean=-0.2282, std=2.51, absmax=11.91 +2025-10-31 17:07:33,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.658, max=8.943, mean=-0.2271, std=2.237, absmax=9.658 +2025-10-31 17:07:34,062 ERROR: Encountered non-finite generator loss at iter 6211; skipping update. +2025-10-31 17:07:34,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:34,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:34,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.57, mean=-0.02057, std=3.743, absmax=14.29 +2025-10-31 17:07:34,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=10.73, mean=-0.08672, std=3.025, absmax=11.14 +2025-10-31 17:07:34,567 ERROR: Encountered non-finite generator loss at iter 6212; skipping update. +2025-10-31 17:07:34,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:34,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:34,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:34,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:34,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.66, mean=-0.01682, std=3.129, absmax=13.66 +2025-10-31 17:07:34,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.566, max=11.47, mean=-0.04039, std=2.781, absmax=11.47 +2025-10-31 17:07:35,071 ERROR: Encountered non-finite generator loss at iter 6213; skipping update. +2025-10-31 17:07:35,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:35,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:35,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=18.16, mean=-0.2697, std=2.972, absmax=18.16 +2025-10-31 17:07:35,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.74, mean=-0.2782, std=2.412, absmax=10.74 +2025-10-31 17:07:35,575 ERROR: Encountered non-finite generator loss at iter 6214; skipping update. +2025-10-31 17:07:35,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:35,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:35,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:35,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:35,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=10.64, mean=-0.1416, std=3, absmax=12.97 +2025-10-31 17:07:35,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=8.416, mean=-0.1678, std=2.543, absmax=10.98 +2025-10-31 17:07:36,081 ERROR: Encountered non-finite generator loss at iter 6215; skipping update. +2025-10-31 17:07:36,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,084 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:36,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:36,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.32, mean=-0.1309, std=3.349, absmax=12.9 +2025-10-31 17:07:36,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=10.68, mean=-0.157, std=2.978, absmax=12.21 +2025-10-31 17:07:36,587 ERROR: Encountered non-finite generator loss at iter 6216; skipping update. +2025-10-31 17:07:36,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:36,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:36,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:36,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:36,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.14, max=15.41, mean=-0.2585, std=2.785, absmax=16.14 +2025-10-31 17:07:36,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=9.761, mean=-0.2969, std=2.376, absmax=12.5 +2025-10-31 17:07:37,093 ERROR: Encountered non-finite generator loss at iter 6217; skipping update. +2025-10-31 17:07:37,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:37,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:37,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.02, mean=-0.3166, std=2.865, absmax=12.94 +2025-10-31 17:07:37,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.058, mean=-0.3076, std=2.527, absmax=10.57 +2025-10-31 17:07:37,596 ERROR: Encountered non-finite generator loss at iter 6218; skipping update. +2025-10-31 17:07:37,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:37,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:37,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:37,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:37,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.84, mean=-0.2723, std=2.705, absmax=13.84 +2025-10-31 17:07:37,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.25, mean=-0.2743, std=2.239, absmax=10.49 +2025-10-31 17:07:38,103 ERROR: Encountered non-finite generator loss at iter 6219; skipping update. +2025-10-31 17:07:38,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:38,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:38,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.8, mean=-0.1534, std=2.902, absmax=13.35 +2025-10-31 17:07:38,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.574, mean=-0.1914, std=2.556, absmax=10.55 +2025-10-31 17:07:38,610 ERROR: Encountered non-finite generator loss at iter 6220; skipping update. +2025-10-31 17:07:38,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:38,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:38,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:38,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:38,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13.87, mean=0.06977, std=3.221, absmax=13.87 +2025-10-31 17:07:38,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.164, max=11.74, mean=-0.005342, std=2.655, absmax=11.74 +2025-10-31 17:07:39,115 ERROR: Encountered non-finite generator loss at iter 6221; skipping update. +2025-10-31 17:07:39,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:39,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:39,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=14.27, mean=-0.1067, std=3.022, absmax=14.27 +2025-10-31 17:07:39,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=13.72, mean=-0.07136, std=2.712, absmax=13.72 +2025-10-31 17:07:39,622 ERROR: Encountered non-finite generator loss at iter 6222; skipping update. +2025-10-31 17:07:39,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:39,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:39,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:39,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:39,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.72, mean=-0.2999, std=3.001, absmax=12.5 +2025-10-31 17:07:39,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.973, max=10.89, mean=-0.2492, std=2.627, absmax=10.89 +2025-10-31 17:07:40,128 ERROR: Encountered non-finite generator loss at iter 6223; skipping update. +2025-10-31 17:07:40,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:40,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:40,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.49, mean=-0.3464, std=2.877, absmax=13.26 +2025-10-31 17:07:40,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=8.372, mean=-0.2832, std=2.404, absmax=12.05 +2025-10-31 17:07:40,631 ERROR: Encountered non-finite generator loss at iter 6224; skipping update. +2025-10-31 17:07:40,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:40,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:40,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:40,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:40,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.5, mean=-0.2993, std=3.223, absmax=14.5 +2025-10-31 17:07:40,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.093, mean=-0.2799, std=2.672, absmax=11.84 +2025-10-31 17:07:41,134 ERROR: Encountered non-finite generator loss at iter 6225; skipping update. +2025-10-31 17:07:41,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:41,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:41,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.97, mean=-0.1478, std=3.117, absmax=13.87 +2025-10-31 17:07:41,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=10.71, mean=-0.121, std=2.576, absmax=11.73 +2025-10-31 17:07:41,637 ERROR: Encountered non-finite generator loss at iter 6226; skipping update. +2025-10-31 17:07:41,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:41,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:41,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:41,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:41,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.63, mean=-0.05318, std=2.949, absmax=13.21 +2025-10-31 17:07:41,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.759, max=9.772, mean=-0.08603, std=2.3, absmax=9.772 +2025-10-31 17:07:42,141 ERROR: Encountered non-finite generator loss at iter 6227; skipping update. +2025-10-31 17:07:42,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:42,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:42,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.9, mean=0.101, std=3.119, absmax=12.9 +2025-10-31 17:07:42,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=11.29, mean=0.06668, std=2.735, absmax=11.29 +2025-10-31 17:07:42,645 ERROR: Encountered non-finite generator loss at iter 6228; skipping update. +2025-10-31 17:07:42,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,651 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,652 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:42,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:42,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:42,655 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:42,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.15, mean=-0.3086, std=3.379, absmax=14.15 +2025-10-31 17:07:42,657 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=8.013, mean=-0.2715, std=2.746, absmax=11.14 +2025-10-31 17:07:43,151 ERROR: Encountered non-finite generator loss at iter 6229; skipping update. +2025-10-31 17:07:43,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,156 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:43,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:43,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=15.51, mean=-0.2151, std=3.259, absmax=15.51 +2025-10-31 17:07:43,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=15.28, mean=-0.2542, std=2.968, absmax=15.28 +2025-10-31 17:07:43,652 ERROR: Encountered non-finite generator loss at iter 6230; skipping update. +2025-10-31 17:07:43,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:43,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:43,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:43,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:43,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.32, max=12.99, mean=-0.2295, std=3.446, absmax=16.32 +2025-10-31 17:07:43,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.18, mean=-0.2117, std=2.763, absmax=10.64 +2025-10-31 17:07:44,158 ERROR: Encountered non-finite generator loss at iter 6231; skipping update. +2025-10-31 17:07:44,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:44,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:44,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.66, mean=-0.1761, std=3.132, absmax=13.66 +2025-10-31 17:07:44,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.823, max=9.866, mean=-0.1678, std=2.596, absmax=9.866 +2025-10-31 17:07:44,663 ERROR: Encountered non-finite generator loss at iter 6232; skipping update. +2025-10-31 17:07:44,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:44,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:44,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:44,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:44,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.95, mean=-0.2463, std=3.478, absmax=14.99 +2025-10-31 17:07:44,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=10.53, mean=-0.2201, std=2.927, absmax=11.88 +2025-10-31 17:07:45,169 ERROR: Encountered non-finite generator loss at iter 6233; skipping update. +2025-10-31 17:07:45,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:45,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:45,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.5, mean=-0.2981, std=3.038, absmax=14.11 +2025-10-31 17:07:45,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=8.818, mean=-0.2955, std=2.543, absmax=11.62 +2025-10-31 17:07:45,675 ERROR: Encountered non-finite generator loss at iter 6234; skipping update. +2025-10-31 17:07:45,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:45,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:45,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:45,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:45,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.44, mean=-0.08217, std=2.949, absmax=12.44 +2025-10-31 17:07:45,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.444, mean=-0.1092, std=2.55, absmax=10.28 +2025-10-31 17:07:46,181 ERROR: Encountered non-finite generator loss at iter 6235; skipping update. +2025-10-31 17:07:46,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:46,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:46,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=10.69, mean=-0.3186, std=2.725, absmax=12.85 +2025-10-31 17:07:46,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=7.774, mean=-0.3268, std=2.376, absmax=10.41 +2025-10-31 17:07:46,687 ERROR: Encountered non-finite generator loss at iter 6236; skipping update. +2025-10-31 17:07:46,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:46,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:46,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:46,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:46,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=13.76, mean=-0.02143, std=3.322, absmax=14.71 +2025-10-31 17:07:46,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=10.33, mean=-0.03973, std=2.725, absmax=12.19 +2025-10-31 17:07:47,201 ERROR: Encountered non-finite generator loss at iter 6237; skipping update. +2025-10-31 17:07:47,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:47,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:47,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=10.39, mean=-0.2015, std=2.824, absmax=13.9 +2025-10-31 17:07:47,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.129, mean=-0.1935, std=2.392, absmax=10 +2025-10-31 17:07:47,704 ERROR: Encountered non-finite generator loss at iter 6238; skipping update. +2025-10-31 17:07:47,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:47,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:47,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:47,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:47,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=11.01, mean=-0.3464, std=2.465, absmax=11.01 +2025-10-31 17:07:47,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.744, max=8.059, mean=-0.2886, std=2.211, absmax=9.744 +2025-10-31 17:07:48,215 ERROR: Encountered non-finite generator loss at iter 6239; skipping update. +2025-10-31 17:07:48,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:48,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:48,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=16.68, mean=-0.2501, std=3.549, absmax=16.68 +2025-10-31 17:07:48,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.43, max=9.206, mean=-0.2515, std=3.034, absmax=12.43 +2025-10-31 17:07:48,719 ERROR: Encountered non-finite generator loss at iter 6240; skipping update. +2025-10-31 17:07:48,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:48,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:48,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:48,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:48,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.06, max=15.57, mean=-0.1315, std=3.634, absmax=16.06 +2025-10-31 17:07:48,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=10.73, mean=-0.08869, std=2.884, absmax=10.73 +2025-10-31 17:07:49,225 ERROR: Encountered non-finite generator loss at iter 6241; skipping update. +2025-10-31 17:07:49,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:49,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:49,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=10.01, mean=-0.1992, std=2.6, absmax=12.28 +2025-10-31 17:07:49,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.38, max=7.949, mean=-0.1573, std=2.29, absmax=9.38 +2025-10-31 17:07:49,730 ERROR: Encountered non-finite generator loss at iter 6242; skipping update. +2025-10-31 17:07:49,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:49,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:49,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:49,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:49,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=11.6, mean=-0.3159, std=2.964, absmax=13.88 +2025-10-31 17:07:49,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.443, mean=-0.345, std=2.537, absmax=10.44 +2025-10-31 17:07:50,249 ERROR: Encountered non-finite generator loss at iter 6243; skipping update. +2025-10-31 17:07:50,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:50,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:50,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.28, mean=-0.3212, std=3.027, absmax=13.28 +2025-10-31 17:07:50,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.936, max=10.76, mean=-0.3072, std=2.692, absmax=10.76 +2025-10-31 17:07:50,753 ERROR: Encountered non-finite generator loss at iter 6244; skipping update. +2025-10-31 17:07:50,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:50,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:50,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:50,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:50,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=10.8, mean=-0.1048, std=2.725, absmax=11.64 +2025-10-31 17:07:50,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.054, max=8.204, mean=-0.1135, std=2.259, absmax=9.054 +2025-10-31 17:07:51,263 ERROR: Encountered non-finite generator loss at iter 6245; skipping update. +2025-10-31 17:07:51,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:51,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:51,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.53, max=13.53, mean=-0.07887, std=2.922, absmax=16.53 +2025-10-31 17:07:51,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.04, max=10.45, mean=-0.1111, std=2.504, absmax=13.04 +2025-10-31 17:07:51,767 ERROR: Encountered non-finite generator loss at iter 6246; skipping update. +2025-10-31 17:07:51,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:51,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:51,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:51,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:51,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.68, mean=-0.1473, std=3.007, absmax=13.77 +2025-10-31 17:07:51,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=10.1, mean=-0.1475, std=2.543, absmax=12.47 +2025-10-31 17:07:52,282 ERROR: Encountered non-finite generator loss at iter 6247; skipping update. +2025-10-31 17:07:52,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,286 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,288 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,289 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:52,290 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:52,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.51, max=19.39, mean=-0.2892, std=3.264, absmax=19.51 +2025-10-31 17:07:52,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.946, max=12.23, mean=-0.2955, std=2.606, absmax=12.23 +2025-10-31 17:07:52,788 ERROR: Encountered non-finite generator loss at iter 6248; skipping update. +2025-10-31 17:07:52,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:52,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:52,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:52,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:52,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.35, mean=0.1298, std=2.912, absmax=14.35 +2025-10-31 17:07:52,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.891, max=9.355, mean=0.04455, std=2.441, absmax=9.891 +2025-10-31 17:07:53,293 ERROR: Encountered non-finite generator loss at iter 6249; skipping update. +2025-10-31 17:07:53,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:53,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:53,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=14.37, mean=-0.1891, std=2.635, absmax=15.11 +2025-10-31 17:07:53,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=9.06, mean=-0.2436, std=2.226, absmax=9.922 +2025-10-31 17:07:53,795 ERROR: Encountered non-finite generator loss at iter 6250; skipping update. +2025-10-31 17:07:53,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:53,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:53,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:53,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:53,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.81, mean=-0.2472, std=2.742, absmax=13.58 +2025-10-31 17:07:53,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=10.25, mean=-0.273, std=2.345, absmax=12.01 +2025-10-31 17:07:54,300 ERROR: Encountered non-finite generator loss at iter 6251; skipping update. +2025-10-31 17:07:54,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:54,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:54,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.83, mean=-0.2585, std=2.732, absmax=12.83 +2025-10-31 17:07:54,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.563, max=9.495, mean=-0.2546, std=2.24, absmax=9.563 +2025-10-31 17:07:54,805 ERROR: Encountered non-finite generator loss at iter 6252; skipping update. +2025-10-31 17:07:54,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:54,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:54,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:54,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:54,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.61, mean=-0.03879, std=3.069, absmax=13.79 +2025-10-31 17:07:54,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.21, mean=-0.05511, std=2.455, absmax=11.21 +2025-10-31 17:07:55,310 ERROR: Encountered non-finite generator loss at iter 6253; skipping update. +2025-10-31 17:07:55,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,314 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:55,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:55,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.94, mean=0.08141, std=3.715, absmax=14.94 +2025-10-31 17:07:55,321 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=13.59, mean=0.09446, std=3.193, absmax=13.59 +2025-10-31 17:07:55,815 ERROR: Encountered non-finite generator loss at iter 6254; skipping update. +2025-10-31 17:07:55,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:55,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:55,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:55,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:55,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.85, mean=-0.2407, std=2.606, absmax=12.15 +2025-10-31 17:07:55,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=7.954, mean=-0.2501, std=2.16, absmax=10.05 +2025-10-31 17:07:56,320 ERROR: Encountered non-finite generator loss at iter 6255; skipping update. +2025-10-31 17:07:56,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:56,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:56,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=10.39, mean=-0.2591, std=2.436, absmax=12.07 +2025-10-31 17:07:56,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.59, max=8.303, mean=-0.1936, std=2.193, absmax=8.59 +2025-10-31 17:07:56,825 ERROR: Encountered non-finite generator loss at iter 6256; skipping update. +2025-10-31 17:07:56,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:56,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:56,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:56,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:56,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.9, mean=-0.2934, std=2.639, absmax=12.75 +2025-10-31 17:07:56,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=7.836, mean=-0.2721, std=2.313, absmax=10.81 +2025-10-31 17:07:57,329 ERROR: Encountered non-finite generator loss at iter 6257; skipping update. +2025-10-31 17:07:57,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:57,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:57,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.33, mean=-0.2109, std=3.338, absmax=14.33 +2025-10-31 17:07:57,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.491, mean=-0.2123, std=2.769, absmax=10.38 +2025-10-31 17:07:57,833 ERROR: Encountered non-finite generator loss at iter 6258; skipping update. +2025-10-31 17:07:57,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:57,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:57,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:57,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:57,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.82, mean=-0.151, std=3.491, absmax=14.08 +2025-10-31 17:07:57,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=10.66, mean=-0.1079, std=2.983, absmax=11.86 +2025-10-31 17:07:58,334 ERROR: Encountered non-finite generator loss at iter 6259; skipping update. +2025-10-31 17:07:58,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:58,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:58,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=13.21, mean=-0.206, std=2.954, absmax=13.24 +2025-10-31 17:07:58,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.85, mean=-0.1258, std=2.547, absmax=11.85 +2025-10-31 17:07:58,836 ERROR: Encountered non-finite generator loss at iter 6260; skipping update. +2025-10-31 17:07:58,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:58,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:58,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:58,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:58,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.12, mean=-0.1907, std=2.927, absmax=12.12 +2025-10-31 17:07:58,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.639, max=9.623, mean=-0.1918, std=2.495, absmax=9.639 +2025-10-31 17:07:59,338 ERROR: Encountered non-finite generator loss at iter 6261; skipping update. +2025-10-31 17:07:59,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:59,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:59,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.68, mean=-0.182, std=2.962, absmax=13.53 +2025-10-31 17:07:59,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.028, mean=-0.1699, std=2.487, absmax=10.55 +2025-10-31 17:07:59,839 ERROR: Encountered non-finite generator loss at iter 6262; skipping update. +2025-10-31 17:07:59,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:07:59,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:07:59,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:07:59,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:07:59,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.87, mean=-0.2294, std=2.854, absmax=14.87 +2025-10-31 17:07:59,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.27, mean=-0.2588, std=2.327, absmax=10.67 +2025-10-31 17:08:00,340 ERROR: Encountered non-finite generator loss at iter 6263; skipping update. +2025-10-31 17:08:00,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:00,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:00,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.42, mean=-0.2483, std=2.83, absmax=13.42 +2025-10-31 17:08:00,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.824, max=10.65, mean=-0.257, std=2.192, absmax=10.65 +2025-10-31 17:08:00,841 ERROR: Encountered non-finite generator loss at iter 6264; skipping update. +2025-10-31 17:08:00,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:00,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:00,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:00,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:00,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.6, mean=-0.2782, std=2.908, absmax=12.99 +2025-10-31 17:08:00,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=8.424, mean=-0.2736, std=2.531, absmax=11.41 +2025-10-31 17:08:01,342 ERROR: Encountered non-finite generator loss at iter 6265; skipping update. +2025-10-31 17:08:01,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,348 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:01,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:01,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.89, mean=-0.07653, std=3.252, absmax=12.97 +2025-10-31 17:08:01,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.297, mean=-0.09714, std=2.726, absmax=10.49 +2025-10-31 17:08:01,842 ERROR: Encountered non-finite generator loss at iter 6266; skipping update. +2025-10-31 17:08:01,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:01,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:01,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:01,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:01,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=15.6, mean=-0.1548, std=3.214, absmax=15.6 +2025-10-31 17:08:01,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=12.77, mean=-0.1885, std=2.756, absmax=12.77 +2025-10-31 17:08:02,343 ERROR: Encountered non-finite generator loss at iter 6267; skipping update. +2025-10-31 17:08:02,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,345 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:02,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:02,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.32, mean=0.06975, std=3.16, absmax=13.32 +2025-10-31 17:08:02,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.244, max=10.47, mean=0.06298, std=2.587, absmax=10.47 +2025-10-31 17:08:02,844 ERROR: Encountered non-finite generator loss at iter 6268; skipping update. +2025-10-31 17:08:02,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:02,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:02,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:02,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:02,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=17.43, mean=-0.1491, std=3.592, absmax=17.43 +2025-10-31 17:08:02,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=13.69, mean=-0.13, std=3.01, absmax=13.69 +2025-10-31 17:08:03,344 ERROR: Encountered non-finite generator loss at iter 6269; skipping update. +2025-10-31 17:08:03,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:03,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:03,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.79, mean=0.0507, std=3.363, absmax=14.79 +2025-10-31 17:08:03,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.466, max=11.76, mean=0.02326, std=2.838, absmax=11.76 +2025-10-31 17:08:03,844 ERROR: Encountered non-finite generator loss at iter 6270; skipping update. +2025-10-31 17:08:03,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:03,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:03,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:03,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:03,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=13.8, mean=-0.2231, std=3.226, absmax=14.78 +2025-10-31 17:08:03,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.666, mean=-0.2498, std=2.546, absmax=10.69 +2025-10-31 17:08:04,345 ERROR: Encountered non-finite generator loss at iter 6271; skipping update. +2025-10-31 17:08:04,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:04,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:04,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=9.434, mean=-0.3335, std=2.696, absmax=13.31 +2025-10-31 17:08:04,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=7.984, mean=-0.3235, std=2.467, absmax=12.17 +2025-10-31 17:08:04,846 ERROR: Encountered non-finite generator loss at iter 6272; skipping update. +2025-10-31 17:08:04,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:04,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:04,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:04,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:04,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.58, mean=-0.1806, std=3.257, absmax=13.58 +2025-10-31 17:08:04,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.933, mean=-0.1661, std=2.771, absmax=10.22 +2025-10-31 17:08:05,346 ERROR: Encountered non-finite generator loss at iter 6273; skipping update. +2025-10-31 17:08:05,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:05,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:05,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.52, mean=-0.06772, std=2.927, absmax=12.52 +2025-10-31 17:08:05,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.215, max=9.414, mean=-0.08452, std=2.469, absmax=9.414 +2025-10-31 17:08:05,847 ERROR: Encountered non-finite generator loss at iter 6274; skipping update. +2025-10-31 17:08:05,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,849 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:05,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:05,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:05,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:05,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=14.45, mean=-0.2787, std=2.61, absmax=14.45 +2025-10-31 17:08:05,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.21, max=9.951, mean=-0.2681, std=2.321, absmax=9.951 +2025-10-31 17:08:06,346 ERROR: Encountered non-finite generator loss at iter 6275; skipping update. +2025-10-31 17:08:06,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:06,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:06,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=10.77, mean=-0.2115, std=2.727, absmax=12.6 +2025-10-31 17:08:06,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=7.006, mean=-0.2208, std=2.233, absmax=10.92 +2025-10-31 17:08:06,848 ERROR: Encountered non-finite generator loss at iter 6276; skipping update. +2025-10-31 17:08:06,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,854 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:06,855 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:06,856 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:06,857 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:06,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=11.03, mean=-0.1601, std=2.78, absmax=11.68 +2025-10-31 17:08:06,859 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.885, max=8.76, mean=-0.1544, std=2.185, absmax=8.885 +2025-10-31 17:08:07,354 ERROR: Encountered non-finite generator loss at iter 6277; skipping update. +2025-10-31 17:08:07,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:07,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:07,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.18, mean=-0.1004, std=3.067, absmax=14.18 +2025-10-31 17:08:07,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=8.598, mean=-0.1042, std=2.497, absmax=10.74 +2025-10-31 17:08:07,859 ERROR: Encountered non-finite generator loss at iter 6278; skipping update. +2025-10-31 17:08:07,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,862 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,863 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,864 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:07,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:07,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:07,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:07,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=15.24, mean=-0.1288, std=3.485, absmax=15.24 +2025-10-31 17:08:07,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=11.42, mean=-0.1356, std=2.861, absmax=11.42 +2025-10-31 17:08:08,365 ERROR: Encountered non-finite generator loss at iter 6279; skipping update. +2025-10-31 17:08:08,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:08,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:08,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=15.77, mean=-0.2322, std=3.085, absmax=15.77 +2025-10-31 17:08:08,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.713, max=12.73, mean=-0.2511, std=2.387, absmax=12.73 +2025-10-31 17:08:08,870 ERROR: Encountered non-finite generator loss at iter 6280; skipping update. +2025-10-31 17:08:08,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:08,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:08,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:08,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:08,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=14.76, mean=-0.06573, std=3.373, absmax=14.76 +2025-10-31 17:08:08,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.93, mean=-0.07367, std=2.691, absmax=11.93 +2025-10-31 17:08:09,371 ERROR: Encountered non-finite generator loss at iter 6281; skipping update. +2025-10-31 17:08:09,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,376 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:09,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:09,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.29, max=14.72, mean=-0.09148, std=3.157, absmax=18.29 +2025-10-31 17:08:09,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=12.78, mean=-0.1051, std=2.722, absmax=12.78 +2025-10-31 17:08:09,874 ERROR: Encountered non-finite generator loss at iter 6282; skipping update. +2025-10-31 17:08:09,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:09,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:09,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:09,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:09,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.57, mean=0.07812, std=3.664, absmax=13.57 +2025-10-31 17:08:09,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=12.59, mean=0.05378, std=3.071, absmax=12.59 +2025-10-31 17:08:10,374 ERROR: Encountered non-finite generator loss at iter 6283; skipping update. +2025-10-31 17:08:10,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:10,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:10,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.3, mean=-0.08022, std=3.218, absmax=13.3 +2025-10-31 17:08:10,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.656, max=11.4, mean=-0.09591, std=2.9, absmax=11.4 +2025-10-31 17:08:10,875 ERROR: Encountered non-finite generator loss at iter 6284; skipping update. +2025-10-31 17:08:10,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:10,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:10,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:10,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:10,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.78, mean=-0.0919, std=3.454, absmax=15.78 +2025-10-31 17:08:10,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=13.6, mean=-0.09175, std=2.987, absmax=13.6 +2025-10-31 17:08:11,376 ERROR: Encountered non-finite generator loss at iter 6285; skipping update. +2025-10-31 17:08:11,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,378 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:11,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:11,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.17, mean=-0.02564, std=3.206, absmax=14.17 +2025-10-31 17:08:11,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.749, max=11.24, mean=0.04579, std=2.962, absmax=11.24 +2025-10-31 17:08:11,876 ERROR: Encountered non-finite generator loss at iter 6286; skipping update. +2025-10-31 17:08:11,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:11,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:11,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:11,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:11,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.78, mean=-0.1235, std=3.393, absmax=13.78 +2025-10-31 17:08:11,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.3, mean=-0.1126, std=2.877, absmax=11.3 +2025-10-31 17:08:12,378 ERROR: Encountered non-finite generator loss at iter 6287; skipping update. +2025-10-31 17:08:12,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:12,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:12,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.46, mean=-0.09908, std=2.689, absmax=15.46 +2025-10-31 17:08:12,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.382, max=10.5, mean=-0.04243, std=2.234, absmax=10.5 +2025-10-31 17:08:12,878 ERROR: Encountered non-finite generator loss at iter 6288; skipping update. +2025-10-31 17:08:12,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:12,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:12,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:12,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:12,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.39, mean=-0.2095, std=3.238, absmax=14.39 +2025-10-31 17:08:12,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.5, mean=-0.2235, std=2.489, absmax=11.13 +2025-10-31 17:08:13,377 ERROR: Encountered non-finite generator loss at iter 6289; skipping update. +2025-10-31 17:08:13,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:13,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:13,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.73, mean=-0.1984, std=3.392, absmax=13.19 +2025-10-31 17:08:13,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.862, max=11.6, mean=-0.1922, std=2.846, absmax=11.6 +2025-10-31 17:08:13,878 ERROR: Encountered non-finite generator loss at iter 6290; skipping update. +2025-10-31 17:08:13,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:13,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:13,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:13,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:13,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.39, mean=-0.09935, std=2.821, absmax=12.39 +2025-10-31 17:08:13,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.07, mean=-0.1243, std=2.375, absmax=10.4 +2025-10-31 17:08:14,377 ERROR: Encountered non-finite generator loss at iter 6291; skipping update. +2025-10-31 17:08:14,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:14,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:14,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.62, mean=-0.2678, std=2.961, absmax=12.9 +2025-10-31 17:08:14,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.786, max=7.789, mean=-0.2588, std=2.435, absmax=8.786 +2025-10-31 17:08:14,879 ERROR: Encountered non-finite generator loss at iter 6292; skipping update. +2025-10-31 17:08:14,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:14,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:14,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:14,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:14,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.35, mean=-0.1959, std=2.699, absmax=13 +2025-10-31 17:08:14,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.215, max=10.16, mean=-0.1889, std=2.277, absmax=10.16 +2025-10-31 17:08:15,379 ERROR: Encountered non-finite generator loss at iter 6293; skipping update. +2025-10-31 17:08:15,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:15,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:15,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.97, mean=-0.3037, std=3.044, absmax=13.97 +2025-10-31 17:08:15,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.197, max=9.882, mean=-0.2712, std=2.443, absmax=9.882 +2025-10-31 17:08:15,881 ERROR: Encountered non-finite generator loss at iter 6294; skipping update. +2025-10-31 17:08:15,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,884 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:15,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:15,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:15,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:15,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.09, mean=-0.1452, std=2.824, absmax=13.35 +2025-10-31 17:08:15,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.566, max=8.375, mean=-0.1669, std=2.42, absmax=9.566 +2025-10-31 17:08:16,380 ERROR: Encountered non-finite generator loss at iter 6295; skipping update. +2025-10-31 17:08:16,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:16,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:16,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.72, mean=-0.0858, std=2.856, absmax=13.47 +2025-10-31 17:08:16,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.988, mean=-0.09888, std=2.304, absmax=10.71 +2025-10-31 17:08:16,881 ERROR: Encountered non-finite generator loss at iter 6296; skipping update. +2025-10-31 17:08:16,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:16,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:16,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:16,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:16,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.04, mean=-0.1138, std=3.378, absmax=12.67 +2025-10-31 17:08:16,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=10.95, mean=-0.09594, std=2.834, absmax=11.39 +2025-10-31 17:08:17,382 ERROR: Encountered non-finite generator loss at iter 6297; skipping update. +2025-10-31 17:08:17,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:17,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:17,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.16, mean=-0.2647, std=2.75, absmax=12.16 +2025-10-31 17:08:17,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.758, mean=-0.2453, std=2.415, absmax=10.23 +2025-10-31 17:08:17,883 ERROR: Encountered non-finite generator loss at iter 6298; skipping update. +2025-10-31 17:08:17,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:17,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:17,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:17,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:17,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=13.63, mean=0.004395, std=2.9, absmax=13.63 +2025-10-31 17:08:17,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.968, max=9.446, mean=-0.05484, std=2.318, absmax=9.446 +2025-10-31 17:08:18,381 ERROR: Encountered non-finite generator loss at iter 6299; skipping update. +2025-10-31 17:08:18,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:18,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:18,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.28, mean=-0.2328, std=2.895, absmax=13.35 +2025-10-31 17:08:18,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=8.395, mean=-0.2317, std=2.594, absmax=10.89 +2025-10-31 17:08:18,883 ERROR: Encountered non-finite generator loss at iter 6300; skipping update. +2025-10-31 17:08:18,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:18,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:18,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:18,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:18,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=15.16, mean=0.2665, std=3.777, absmax=15.16 +2025-10-31 17:08:18,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.073, max=14.82, mean=0.2189, std=3.427, absmax=14.82 +2025-10-31 17:08:18,892 INFO: [29..][epoch: 0, step: 6,300, lr:(1.500e-04,)] [eta: 1 day, 17:26:57, time (data): 0.503 (0.000)] +2025-10-31 17:08:19,382 ERROR: Encountered non-finite generator loss at iter 6301; skipping update. +2025-10-31 17:08:19,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:19,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:19,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.66, mean=-0.01671, std=3.325, absmax=14.66 +2025-10-31 17:08:19,391 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.248, max=10.7, mean=-0.05521, std=2.785, absmax=10.7 +2025-10-31 17:08:19,883 ERROR: Encountered non-finite generator loss at iter 6302; skipping update. +2025-10-31 17:08:19,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,886 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:19,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:19,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:19,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:19,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.66, mean=0.01447, std=3.288, absmax=14.77 +2025-10-31 17:08:19,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=11.38, mean=-0.02431, std=2.653, absmax=13.19 +2025-10-31 17:08:20,388 ERROR: Encountered non-finite generator loss at iter 6303; skipping update. +2025-10-31 17:08:20,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,390 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:20,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:20,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=13.12, mean=-0.08574, std=2.842, absmax=13.12 +2025-10-31 17:08:20,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.342, max=9.914, mean=-0.09947, std=2.269, absmax=9.914 +2025-10-31 17:08:20,889 ERROR: Encountered non-finite generator loss at iter 6304; skipping update. +2025-10-31 17:08:20,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:20,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:20,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:20,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:20,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.44, mean=-0.09928, std=3.121, absmax=15.44 +2025-10-31 17:08:20,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.646, max=12.74, mean=-0.1274, std=2.521, absmax=12.74 +2025-10-31 17:08:21,390 ERROR: Encountered non-finite generator loss at iter 6305; skipping update. +2025-10-31 17:08:21,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,393 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,393 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,394 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,395 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,396 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:21,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:21,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.27, mean=-0.254, std=2.859, absmax=12.75 +2025-10-31 17:08:21,400 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.446, max=9.231, mean=-0.2221, std=2.261, absmax=9.231 +2025-10-31 17:08:21,892 ERROR: Encountered non-finite generator loss at iter 6306; skipping update. +2025-10-31 17:08:21,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:21,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:21,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:21,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:21,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.31, mean=-0.3532, std=2.658, absmax=11.94 +2025-10-31 17:08:21,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=6.817, mean=-0.2988, std=2.276, absmax=10.2 +2025-10-31 17:08:22,393 ERROR: Encountered non-finite generator loss at iter 6307; skipping update. +2025-10-31 17:08:22,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,398 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:22,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:22,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.97, mean=-0.1814, std=2.984, absmax=12.97 +2025-10-31 17:08:22,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.355, mean=-0.1784, std=2.463, absmax=10.3 +2025-10-31 17:08:22,895 ERROR: Encountered non-finite generator loss at iter 6308; skipping update. +2025-10-31 17:08:22,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:22,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:22,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:22,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:22,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.79, mean=-0.1304, std=2.945, absmax=12.79 +2025-10-31 17:08:22,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=11.72, mean=-0.1542, std=2.594, absmax=11.72 +2025-10-31 17:08:23,397 ERROR: Encountered non-finite generator loss at iter 6309; skipping update. +2025-10-31 17:08:23,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:23,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:23,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.99, mean=-0.07291, std=3.282, absmax=12.88 +2025-10-31 17:08:23,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.484, mean=-0.06772, std=2.73, absmax=10.48 +2025-10-31 17:08:23,899 ERROR: Encountered non-finite generator loss at iter 6310; skipping update. +2025-10-31 17:08:23,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:23,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:23,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:23,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:23,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.1, mean=-0.2536, std=2.876, absmax=13.1 +2025-10-31 17:08:23,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=10.38, mean=-0.2787, std=2.471, absmax=10.57 +2025-10-31 17:08:24,399 ERROR: Encountered non-finite generator loss at iter 6311; skipping update. +2025-10-31 17:08:24,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:24,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:24,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.02, mean=-0.1802, std=3.195, absmax=13.02 +2025-10-31 17:08:24,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.874, max=11.19, mean=-0.2073, std=2.836, absmax=11.19 +2025-10-31 17:08:24,900 ERROR: Encountered non-finite generator loss at iter 6312; skipping update. +2025-10-31 17:08:24,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:24,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:24,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:24,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:24,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.595, max=11.71, mean=-0.1557, std=2.385, absmax=11.71 +2025-10-31 17:08:24,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.008, max=9.342, mean=-0.1233, std=2.047, absmax=9.342 +2025-10-31 17:08:25,402 ERROR: Encountered non-finite generator loss at iter 6313; skipping update. +2025-10-31 17:08:25,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:25,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:25,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.42, mean=0.06067, std=3.052, absmax=12.42 +2025-10-31 17:08:25,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.845, max=10.04, mean=-0.0008433, std=2.37, absmax=10.04 +2025-10-31 17:08:25,903 ERROR: Encountered non-finite generator loss at iter 6314; skipping update. +2025-10-31 17:08:25,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:25,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:25,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:25,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:25,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=10.27, mean=-0.2132, std=2.495, absmax=12.63 +2025-10-31 17:08:25,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=8.983, mean=-0.2577, std=2.157, absmax=10.2 +2025-10-31 17:08:26,406 ERROR: Encountered non-finite generator loss at iter 6315; skipping update. +2025-10-31 17:08:26,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,408 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:26,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:26,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.22, mean=-0.3001, std=2.766, absmax=12.22 +2025-10-31 17:08:26,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.877, max=8.051, mean=-0.3025, std=2.302, absmax=9.877 +2025-10-31 17:08:26,908 ERROR: Encountered non-finite generator loss at iter 6316; skipping update. +2025-10-31 17:08:26,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:26,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:26,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:26,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:26,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.72, mean=-0.3119, std=2.984, absmax=13.72 +2025-10-31 17:08:26,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=9.501, mean=-0.3082, std=2.549, absmax=11.5 +2025-10-31 17:08:27,410 ERROR: Encountered non-finite generator loss at iter 6317; skipping update. +2025-10-31 17:08:27,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:27,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:27,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.33, mean=-0.1527, std=3.238, absmax=12.87 +2025-10-31 17:08:27,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.978, mean=-0.1315, std=2.726, absmax=10.67 +2025-10-31 17:08:27,910 ERROR: Encountered non-finite generator loss at iter 6318; skipping update. +2025-10-31 17:08:27,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:27,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:27,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:27,918 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:27,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.69, mean=-0.08376, std=2.907, absmax=12.07 +2025-10-31 17:08:27,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.751, mean=-0.1006, std=2.528, absmax=11.1 +2025-10-31 17:08:28,410 ERROR: Encountered non-finite generator loss at iter 6319; skipping update. +2025-10-31 17:08:28,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:28,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:28,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.29, mean=-0.08133, std=3.253, absmax=14.29 +2025-10-31 17:08:28,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.618, max=10.18, mean=-0.07723, std=2.639, absmax=10.18 +2025-10-31 17:08:28,912 ERROR: Encountered non-finite generator loss at iter 6320; skipping update. +2025-10-31 17:08:28,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:28,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:28,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:28,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:28,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.12, mean=-0.3015, std=2.745, absmax=14.12 +2025-10-31 17:08:28,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.95, max=9.84, mean=-0.2824, std=2.181, absmax=9.84 +2025-10-31 17:08:29,412 ERROR: Encountered non-finite generator loss at iter 6321; skipping update. +2025-10-31 17:08:29,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:29,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:29,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.27, mean=-0.3721, std=2.464, absmax=12.32 +2025-10-31 17:08:29,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.343, max=7.324, mean=-0.345, std=2.177, absmax=9.343 +2025-10-31 17:08:29,914 ERROR: Encountered non-finite generator loss at iter 6322; skipping update. +2025-10-31 17:08:29,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,916 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,917 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:29,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:29,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:29,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:29,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.52, mean=-0.1898, std=2.956, absmax=13.52 +2025-10-31 17:08:29,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.182, mean=-0.2522, std=2.299, absmax=10.64 +2025-10-31 17:08:30,414 ERROR: Encountered non-finite generator loss at iter 6323; skipping update. +2025-10-31 17:08:30,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:30,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:30,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12.93, mean=-0.206, std=3.284, absmax=13.93 +2025-10-31 17:08:30,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.71, mean=-0.2183, std=2.856, absmax=11.03 +2025-10-31 17:08:30,916 ERROR: Encountered non-finite generator loss at iter 6324; skipping update. +2025-10-31 17:08:30,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,921 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:30,922 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:30,923 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:30,924 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:30,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=10.32, mean=-0.09094, std=2.554, absmax=11.86 +2025-10-31 17:08:30,926 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.896, max=8.705, mean=-0.1644, std=2.17, absmax=8.896 +2025-10-31 17:08:31,419 ERROR: Encountered non-finite generator loss at iter 6325; skipping update. +2025-10-31 17:08:31,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:31,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:31,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=11.96, mean=-0.257, std=2.778, absmax=13.94 +2025-10-31 17:08:31,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.97, mean=-0.2345, std=2.321, absmax=10.97 +2025-10-31 17:08:31,921 ERROR: Encountered non-finite generator loss at iter 6326; skipping update. +2025-10-31 17:08:31,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:31,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:31,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:31,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:31,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.38, mean=0.01515, std=3.111, absmax=13.38 +2025-10-31 17:08:31,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.34, mean=-0.0363, std=2.615, absmax=10.37 +2025-10-31 17:08:32,423 ERROR: Encountered non-finite generator loss at iter 6327; skipping update. +2025-10-31 17:08:32,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:32,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:32,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14.16, mean=-0.1817, std=3.237, absmax=14.16 +2025-10-31 17:08:32,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=9.797, mean=-0.1924, std=2.593, absmax=9.797 +2025-10-31 17:08:32,924 ERROR: Encountered non-finite generator loss at iter 6328; skipping update. +2025-10-31 17:08:32,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:32,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:32,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:32,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:32,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=19.01, mean=-0.2487, std=2.534, absmax=19.01 +2025-10-31 17:08:32,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.762, max=15.41, mean=-0.2375, std=2.264, absmax=15.41 +2025-10-31 17:08:33,425 ERROR: Encountered non-finite generator loss at iter 6329; skipping update. +2025-10-31 17:08:33,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:33,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:33,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.68, mean=0.1536, std=3.138, absmax=14.68 +2025-10-31 17:08:33,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.171, max=11.62, mean=0.08914, std=2.562, absmax=11.62 +2025-10-31 17:08:33,926 ERROR: Encountered non-finite generator loss at iter 6330; skipping update. +2025-10-31 17:08:33,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:33,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:33,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:33,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:33,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.58, mean=-0.1209, std=2.67, absmax=13.4 +2025-10-31 17:08:33,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.512, max=9.355, mean=-0.1556, std=2.265, absmax=9.512 +2025-10-31 17:08:34,427 ERROR: Encountered non-finite generator loss at iter 6331; skipping update. +2025-10-31 17:08:34,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:34,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:34,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.09, mean=-0.02335, std=3.25, absmax=12.22 +2025-10-31 17:08:34,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.44, max=9.774, mean=-0.04983, std=2.638, absmax=9.774 +2025-10-31 17:08:34,929 ERROR: Encountered non-finite generator loss at iter 6332; skipping update. +2025-10-31 17:08:34,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:34,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:34,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:34,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:34,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.26, mean=-0.08496, std=2.768, absmax=12.6 +2025-10-31 17:08:34,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=8.524, mean=-0.05545, std=2.418, absmax=9.562 +2025-10-31 17:08:35,430 ERROR: Encountered non-finite generator loss at iter 6333; skipping update. +2025-10-31 17:08:35,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,437 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:35,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:35,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.58, mean=-0.1572, std=2.993, absmax=14.58 +2025-10-31 17:08:35,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.84, max=13.23, mean=-0.1422, std=2.484, absmax=13.23 +2025-10-31 17:08:35,932 ERROR: Encountered non-finite generator loss at iter 6334; skipping update. +2025-10-31 17:08:35,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,935 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:35,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:35,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:35,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:35,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15, mean=-0.1955, std=3.103, absmax=15 +2025-10-31 17:08:35,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.298, mean=-0.2147, std=2.641, absmax=10.01 +2025-10-31 17:08:36,441 ERROR: Encountered non-finite generator loss at iter 6335; skipping update. +2025-10-31 17:08:36,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,444 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,445 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,446 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:36,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:36,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=14.43, mean=-0.2344, std=2.71, absmax=14.43 +2025-10-31 17:08:36,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.793, max=8.139, mean=-0.207, std=2.215, absmax=9.793 +2025-10-31 17:08:36,947 ERROR: Encountered non-finite generator loss at iter 6336; skipping update. +2025-10-31 17:08:36,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:36,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:36,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:36,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:36,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.92, max=15.88, mean=-0.223, std=3.007, absmax=15.92 +2025-10-31 17:08:36,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.912, max=10.54, mean=-0.2305, std=2.363, absmax=10.54 +2025-10-31 17:08:37,451 ERROR: Encountered non-finite generator loss at iter 6337; skipping update. +2025-10-31 17:08:37,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:37,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:37,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.64, mean=0.09298, std=3.192, absmax=14.64 +2025-10-31 17:08:37,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.111, max=11.89, mean=0.03186, std=2.616, absmax=11.89 +2025-10-31 17:08:37,956 ERROR: Encountered non-finite generator loss at iter 6338; skipping update. +2025-10-31 17:08:37,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:37,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:37,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:37,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:37,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.79, mean=-0.1205, std=2.907, absmax=13.79 +2025-10-31 17:08:37,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.666, mean=-0.0951, std=2.502, absmax=10.02 +2025-10-31 17:08:38,459 ERROR: Encountered non-finite generator loss at iter 6339; skipping update. +2025-10-31 17:08:38,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:38,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:38,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.89, mean=-0.1492, std=2.476, absmax=12.72 +2025-10-31 17:08:38,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.597, max=9.771, mean=-0.1662, std=2.203, absmax=9.771 +2025-10-31 17:08:38,967 ERROR: Encountered non-finite generator loss at iter 6340; skipping update. +2025-10-31 17:08:38,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:38,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:38,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:38,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:38,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=11.01, mean=-0.2664, std=3.039, absmax=14.29 +2025-10-31 17:08:38,977 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.69, max=9.209, mean=-0.28, std=2.493, absmax=12.69 +2025-10-31 17:08:39,473 ERROR: Encountered non-finite generator loss at iter 6341; skipping update. +2025-10-31 17:08:39,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:39,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:39,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=14.69, mean=-0.1314, std=2.733, absmax=14.69 +2025-10-31 17:08:39,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.667, max=9.455, mean=-0.1278, std=2.299, absmax=9.667 +2025-10-31 17:08:39,978 ERROR: Encountered non-finite generator loss at iter 6342; skipping update. +2025-10-31 17:08:39,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:39,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:39,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:39,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:39,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.06, mean=-0.1401, std=3.065, absmax=12.44 +2025-10-31 17:08:39,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.703, mean=-0.1575, std=2.533, absmax=10.25 +2025-10-31 17:08:40,483 ERROR: Encountered non-finite generator loss at iter 6343; skipping update. +2025-10-31 17:08:40,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:40,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:40,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=14.25, mean=-0.06574, std=2.905, absmax=14.25 +2025-10-31 17:08:40,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.767, max=12.88, mean=-0.09537, std=2.479, absmax=12.88 +2025-10-31 17:08:40,988 ERROR: Encountered non-finite generator loss at iter 6344; skipping update. +2025-10-31 17:08:40,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:40,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:40,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:40,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:40,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.38, mean=-0.1385, std=3.569, absmax=14.38 +2025-10-31 17:08:40,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.82, mean=-0.09188, std=2.9, absmax=11.82 +2025-10-31 17:08:41,492 ERROR: Encountered non-finite generator loss at iter 6345; skipping update. +2025-10-31 17:08:41,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:41,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:41,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:41,496 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:41,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:41,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:41,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:41,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:41,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.6, mean=-0.155, std=3.067, absmax=12.6 +2025-10-31 17:08:41,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.885, max=9.571, mean=-0.1465, std=2.597, absmax=9.571 +2025-10-31 17:08:41,998 ERROR: Encountered non-finite generator loss at iter 6346; skipping update. +2025-10-31 17:08:41,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:42,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:42,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=13.9, mean=-0.2353, std=2.908, absmax=15.25 +2025-10-31 17:08:42,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=10.6, mean=-0.2465, std=2.385, absmax=11.4 +2025-10-31 17:08:42,505 ERROR: Encountered non-finite generator loss at iter 6347; skipping update. +2025-10-31 17:08:42,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:42,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:42,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:42,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:42,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11, mean=-0.3291, std=2.645, absmax=11.69 +2025-10-31 17:08:42,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=7.877, mean=-0.3062, std=2.417, absmax=10.9 +2025-10-31 17:08:43,010 ERROR: Encountered non-finite generator loss at iter 6348; skipping update. +2025-10-31 17:08:43,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,012 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,016 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,017 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:43,018 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:43,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.04, mean=-0.2132, std=3.063, absmax=12.71 +2025-10-31 17:08:43,020 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.672, max=9.382, mean=-0.1932, std=2.581, absmax=9.672 +2025-10-31 17:08:43,515 ERROR: Encountered non-finite generator loss at iter 6349; skipping update. +2025-10-31 17:08:43,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:43,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:43,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:43,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:43,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=12.94, mean=-0.3257, std=3.103, absmax=15.16 +2025-10-31 17:08:43,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.97, max=9.256, mean=-0.3181, std=2.616, absmax=12.97 +2025-10-31 17:08:44,020 ERROR: Encountered non-finite generator loss at iter 6350; skipping update. +2025-10-31 17:08:44,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:44,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:44,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.14, mean=-0.185, std=2.925, absmax=12.94 +2025-10-31 17:08:44,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.267, mean=-0.2098, std=2.441, absmax=10.18 +2025-10-31 17:08:44,524 ERROR: Encountered non-finite generator loss at iter 6351; skipping update. +2025-10-31 17:08:44,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:44,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:44,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:44,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:44,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.2, mean=-0.2732, std=3.749, absmax=14.99 +2025-10-31 17:08:44,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=10.86, mean=-0.2092, std=3.288, absmax=12.35 +2025-10-31 17:08:45,030 ERROR: Encountered non-finite generator loss at iter 6352; skipping update. +2025-10-31 17:08:45,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:45,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:45,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=16.19, mean=-0.07776, std=3.55, absmax=16.19 +2025-10-31 17:08:45,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=13.94, mean=-0.06727, std=2.993, absmax=13.94 +2025-10-31 17:08:45,535 ERROR: Encountered non-finite generator loss at iter 6353; skipping update. +2025-10-31 17:08:45,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:45,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:45,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:45,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:45,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.99, mean=0.03709, std=3.291, absmax=12.99 +2025-10-31 17:08:45,542 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.37, mean=0.006857, std=2.711, absmax=10.37 +2025-10-31 17:08:46,038 ERROR: Encountered non-finite generator loss at iter 6354; skipping update. +2025-10-31 17:08:46,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:46,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:46,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.55, mean=-0.1389, std=2.742, absmax=14.55 +2025-10-31 17:08:46,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.337, max=9.138, mean=-0.1515, std=2.26, absmax=9.337 +2025-10-31 17:08:46,542 ERROR: Encountered non-finite generator loss at iter 6355; skipping update. +2025-10-31 17:08:46,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:46,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:46,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:46,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:46,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.95, mean=0.01349, std=2.989, absmax=13.95 +2025-10-31 17:08:46,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=10.57, mean=-0.04006, std=2.564, absmax=10.57 +2025-10-31 17:08:47,047 ERROR: Encountered non-finite generator loss at iter 6356; skipping update. +2025-10-31 17:08:47,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:47,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:47,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.96, mean=-0.2555, std=2.461, absmax=12.96 +2025-10-31 17:08:47,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.154, max=8.405, mean=-0.2301, std=2.139, absmax=9.154 +2025-10-31 17:08:47,552 ERROR: Encountered non-finite generator loss at iter 6357; skipping update. +2025-10-31 17:08:47,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:47,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:47,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:47,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:47,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=13.51, mean=-0.105, std=2.946, absmax=13.51 +2025-10-31 17:08:47,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=13.32, mean=-0.07505, std=2.529, absmax=13.32 +2025-10-31 17:08:48,058 ERROR: Encountered non-finite generator loss at iter 6358; skipping update. +2025-10-31 17:08:48,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:48,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:48,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.1, mean=-0.08148, std=2.882, absmax=13.28 +2025-10-31 17:08:48,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.944, mean=-0.1174, std=2.37, absmax=10.33 +2025-10-31 17:08:48,562 ERROR: Encountered non-finite generator loss at iter 6359; skipping update. +2025-10-31 17:08:48,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:48,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:48,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:48,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:48,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.84, mean=0.1088, std=3.447, absmax=14.84 +2025-10-31 17:08:48,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.524, max=11.66, mean=0.04794, std=2.887, absmax=11.66 +2025-10-31 17:08:49,067 ERROR: Encountered non-finite generator loss at iter 6360; skipping update. +2025-10-31 17:08:49,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:49,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:49,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=12.77, mean=-0.2871, std=2.709, absmax=12.77 +2025-10-31 17:08:49,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=8.173, mean=-0.2656, std=2.213, absmax=9.309 +2025-10-31 17:08:49,573 ERROR: Encountered non-finite generator loss at iter 6361; skipping update. +2025-10-31 17:08:49,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:49,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:49,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:49,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:49,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.9, mean=-0.02279, std=3.197, absmax=12.9 +2025-10-31 17:08:49,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.93, mean=-0.04364, std=2.657, absmax=10.93 +2025-10-31 17:08:50,079 ERROR: Encountered non-finite generator loss at iter 6362; skipping update. +2025-10-31 17:08:50,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:50,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:50,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.07, mean=-0.2275, std=2.475, absmax=12.07 +2025-10-31 17:08:50,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.648, max=7.747, mean=-0.2689, std=2.107, absmax=9.648 +2025-10-31 17:08:50,584 ERROR: Encountered non-finite generator loss at iter 6363; skipping update. +2025-10-31 17:08:50,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,588 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,589 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:50,590 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:50,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:50,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:50,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=11.42, mean=-0.215, std=3.087, absmax=11.68 +2025-10-31 17:08:50,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=10.11, mean=-0.2081, std=2.648, absmax=11.81 +2025-10-31 17:08:51,091 ERROR: Encountered non-finite generator loss at iter 6364; skipping update. +2025-10-31 17:08:51,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:51,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:51,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.14, mean=-0.1054, std=2.682, absmax=13.14 +2025-10-31 17:08:51,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=11.06, mean=-0.1029, std=2.432, absmax=11.06 +2025-10-31 17:08:51,596 ERROR: Encountered non-finite generator loss at iter 6365; skipping update. +2025-10-31 17:08:51,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:51,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:51,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:51,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:51,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=16.88, mean=-0.1772, std=3.19, absmax=16.88 +2025-10-31 17:08:51,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=9.694, mean=-0.173, std=2.725, absmax=11.08 +2025-10-31 17:08:52,101 ERROR: Encountered non-finite generator loss at iter 6366; skipping update. +2025-10-31 17:08:52,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:52,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:52,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.96, mean=0.03451, std=3.305, absmax=13.96 +2025-10-31 17:08:52,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.738, max=11.85, mean=0.0589, std=2.833, absmax=11.85 +2025-10-31 17:08:52,604 ERROR: Encountered non-finite generator loss at iter 6367; skipping update. +2025-10-31 17:08:52,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:52,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:52,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:52,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:52,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=11.79, mean=-0.07371, std=2.568, absmax=11.79 +2025-10-31 17:08:52,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.184, max=8.365, mean=-0.1096, std=2.156, absmax=9.184 +2025-10-31 17:08:53,108 ERROR: Encountered non-finite generator loss at iter 6368; skipping update. +2025-10-31 17:08:53,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:53,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:53,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.44, mean=-0.1677, std=2.814, absmax=13.44 +2025-10-31 17:08:53,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=8.832, mean=-0.1817, std=2.526, absmax=11.94 +2025-10-31 17:08:53,612 ERROR: Encountered non-finite generator loss at iter 6369; skipping update. +2025-10-31 17:08:53,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:53,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:53,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:53,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:53,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.59, mean=-0.1583, std=3.156, absmax=14.75 +2025-10-31 17:08:53,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=10.72, mean=-0.1843, std=2.528, absmax=11.21 +2025-10-31 17:08:54,113 ERROR: Encountered non-finite generator loss at iter 6370; skipping update. +2025-10-31 17:08:54,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:54,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:54,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.68, mean=-0.07785, std=2.895, absmax=11.68 +2025-10-31 17:08:54,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.264, mean=-0.149, std=2.559, absmax=10.63 +2025-10-31 17:08:54,615 ERROR: Encountered non-finite generator loss at iter 6371; skipping update. +2025-10-31 17:08:54,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:54,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:54,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:54,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:54,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=20.24, mean=-0.3051, std=3.548, absmax=20.24 +2025-10-31 17:08:54,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.2, mean=-0.2469, std=2.867, absmax=10.47 +2025-10-31 17:08:55,118 ERROR: Encountered non-finite generator loss at iter 6372; skipping update. +2025-10-31 17:08:55,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:55,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:55,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=17.44, mean=-0.2273, std=3.798, absmax=17.44 +2025-10-31 17:08:55,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.71, max=11.72, mean=-0.1545, std=3.336, absmax=13.71 +2025-10-31 17:08:55,640 ERROR: Encountered non-finite generator loss at iter 6373; skipping update. +2025-10-31 17:08:55,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:55,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:55,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:55,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:55,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.61, mean=0.03339, std=2.879, absmax=13 +2025-10-31 17:08:55,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.376, max=9.613, mean=-0.05036, std=2.378, absmax=9.613 +2025-10-31 17:08:56,145 ERROR: Encountered non-finite generator loss at iter 6374; skipping update. +2025-10-31 17:08:56,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:56,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:56,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.81, mean=-0.2102, std=2.567, absmax=11.96 +2025-10-31 17:08:56,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.846, max=9.757, mean=-0.2089, std=2.291, absmax=9.757 +2025-10-31 17:08:56,648 ERROR: Encountered non-finite generator loss at iter 6375; skipping update. +2025-10-31 17:08:56,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:56,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:56,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:56,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:56,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.27, mean=-0.2504, std=2.857, absmax=12.5 +2025-10-31 17:08:56,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=7.681, mean=-0.2406, std=2.371, absmax=10.25 +2025-10-31 17:08:57,152 ERROR: Encountered non-finite generator loss at iter 6376; skipping update. +2025-10-31 17:08:57,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:57,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:57,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=16.9, mean=0.1081, std=3.63, absmax=16.9 +2025-10-31 17:08:57,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=11.92, mean=0.08372, std=2.955, absmax=11.92 +2025-10-31 17:08:57,656 ERROR: Encountered non-finite generator loss at iter 6377; skipping update. +2025-10-31 17:08:57,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:57,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:57,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:57,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:57,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.62, mean=-0.2631, std=3.023, absmax=13.62 +2025-10-31 17:08:57,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.76, max=9.605, mean=-0.246, std=2.495, absmax=12.76 +2025-10-31 17:08:58,157 ERROR: Encountered non-finite generator loss at iter 6378; skipping update. +2025-10-31 17:08:58,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:58,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:58,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.44, mean=-0.08089, std=3.079, absmax=13.44 +2025-10-31 17:08:58,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.35, mean=-0.1235, std=2.574, absmax=11.35 +2025-10-31 17:08:58,660 ERROR: Encountered non-finite generator loss at iter 6379; skipping update. +2025-10-31 17:08:58,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:58,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:58,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:58,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:58,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.91, mean=0.1135, std=3.271, absmax=13.91 +2025-10-31 17:08:58,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=11.82, mean=0.08796, std=2.857, absmax=11.82 +2025-10-31 17:08:59,162 ERROR: Encountered non-finite generator loss at iter 6380; skipping update. +2025-10-31 17:08:59,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:59,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:59,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.11, mean=-0.06923, std=3.329, absmax=13.11 +2025-10-31 17:08:59,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.555, max=10.74, mean=-0.05034, std=2.761, absmax=10.74 +2025-10-31 17:08:59,663 ERROR: Encountered non-finite generator loss at iter 6381; skipping update. +2025-10-31 17:08:59,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:08:59,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:08:59,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:08:59,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:08:59,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.36, mean=-0.2438, std=2.424, absmax=11.74 +2025-10-31 17:08:59,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.805, max=8.41, mean=-0.2102, std=2.106, absmax=8.805 +2025-10-31 17:09:00,165 ERROR: Encountered non-finite generator loss at iter 6382; skipping update. +2025-10-31 17:09:00,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:00,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:00,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.55, mean=-0.09007, std=3.427, absmax=13.55 +2025-10-31 17:09:00,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.09, mean=-0.1101, std=2.878, absmax=11.02 +2025-10-31 17:09:00,666 ERROR: Encountered non-finite generator loss at iter 6383; skipping update. +2025-10-31 17:09:00,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:00,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:00,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:00,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:00,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.31, mean=-0.127, std=3.521, absmax=13.51 +2025-10-31 17:09:00,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=10.58, mean=-0.1204, std=2.897, absmax=10.58 +2025-10-31 17:09:01,168 ERROR: Encountered non-finite generator loss at iter 6384; skipping update. +2025-10-31 17:09:01,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:01,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:01,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=15.03, mean=-0.2073, std=2.947, absmax=15.03 +2025-10-31 17:09:01,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=9.316, mean=-0.2212, std=2.435, absmax=10.92 +2025-10-31 17:09:01,669 ERROR: Encountered non-finite generator loss at iter 6385; skipping update. +2025-10-31 17:09:01,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:01,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:01,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:01,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:01,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.22, mean=-0.1143, std=2.949, absmax=13.22 +2025-10-31 17:09:01,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=12.1, mean=-0.1112, std=2.623, absmax=12.1 +2025-10-31 17:09:02,171 ERROR: Encountered non-finite generator loss at iter 6386; skipping update. +2025-10-31 17:09:02,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:02,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:02,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=16.78, mean=0.004873, std=3.107, absmax=16.78 +2025-10-31 17:09:02,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=13.6, mean=0.002249, std=2.628, absmax=13.6 +2025-10-31 17:09:02,671 ERROR: Encountered non-finite generator loss at iter 6387; skipping update. +2025-10-31 17:09:02,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,674 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:02,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:02,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:02,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:02,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.08, mean=-0.07249, std=3.312, absmax=13.08 +2025-10-31 17:09:02,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.748, max=9.59, mean=-0.09436, std=2.692, absmax=9.748 +2025-10-31 17:09:03,173 ERROR: Encountered non-finite generator loss at iter 6388; skipping update. +2025-10-31 17:09:03,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:03,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:03,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.97, mean=-0.1493, std=3.32, absmax=13.97 +2025-10-31 17:09:03,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.574, max=11.59, mean=-0.17, std=2.64, absmax=11.59 +2025-10-31 17:09:03,673 ERROR: Encountered non-finite generator loss at iter 6389; skipping update. +2025-10-31 17:09:03,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:03,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:03,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:03,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:03,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.21, mean=-0.04297, std=3.095, absmax=14.21 +2025-10-31 17:09:03,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=10.1, mean=-0.06891, std=2.584, absmax=10.41 +2025-10-31 17:09:04,172 ERROR: Encountered non-finite generator loss at iter 6390; skipping update. +2025-10-31 17:09:04,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:04,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:04,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.83, mean=0.05035, std=2.945, absmax=13.83 +2025-10-31 17:09:04,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.647, max=11.18, mean=0.007086, std=2.425, absmax=11.18 +2025-10-31 17:09:04,674 ERROR: Encountered non-finite generator loss at iter 6391; skipping update. +2025-10-31 17:09:04,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:04,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:04,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:04,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:04,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.59, mean=-0.3272, std=3.255, absmax=14.59 +2025-10-31 17:09:04,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.775, max=10.53, mean=-0.2965, std=2.601, absmax=10.53 +2025-10-31 17:09:05,182 ERROR: Encountered non-finite generator loss at iter 6392; skipping update. +2025-10-31 17:09:05,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:05,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:05,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=15.26, mean=-0.2878, std=3.248, absmax=15.26 +2025-10-31 17:09:05,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=8.723, mean=-0.2721, std=2.846, absmax=11.76 +2025-10-31 17:09:05,693 ERROR: Encountered non-finite generator loss at iter 6393; skipping update. +2025-10-31 17:09:05,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:05,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:05,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:05,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:05,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.65, mean=-0.2341, std=2.717, absmax=12.65 +2025-10-31 17:09:05,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.533, max=8.592, mean=-0.2079, std=2.291, absmax=9.533 +2025-10-31 17:09:06,197 ERROR: Encountered non-finite generator loss at iter 6394; skipping update. +2025-10-31 17:09:06,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:06,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:06,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.76, mean=-0.2626, std=3.232, absmax=13.96 +2025-10-31 17:09:06,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=10.33, mean=-0.2293, std=2.954, absmax=12.07 +2025-10-31 17:09:06,706 ERROR: Encountered non-finite generator loss at iter 6395; skipping update. +2025-10-31 17:09:06,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:06,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:06,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:06,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:06,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=17.42, mean=0.02641, std=3.275, absmax=17.42 +2025-10-31 17:09:06,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=14.85, mean=-0.009446, std=2.825, absmax=14.85 +2025-10-31 17:09:07,210 ERROR: Encountered non-finite generator loss at iter 6396; skipping update. +2025-10-31 17:09:07,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,215 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:07,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:07,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=17.94, mean=-0.1911, std=3.553, absmax=17.94 +2025-10-31 17:09:07,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=13.71, mean=-0.1993, std=2.944, absmax=13.71 +2025-10-31 17:09:07,713 ERROR: Encountered non-finite generator loss at iter 6397; skipping update. +2025-10-31 17:09:07,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,716 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:07,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:07,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:07,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:07,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.49, mean=0.006621, std=3.695, absmax=14.49 +2025-10-31 17:09:07,723 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=12.9, mean=-0.00271, std=3.198, absmax=12.9 +2025-10-31 17:09:08,217 ERROR: Encountered non-finite generator loss at iter 6398; skipping update. +2025-10-31 17:09:08,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:08,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:08,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=10.46, mean=-0.2311, std=2.453, absmax=11.59 +2025-10-31 17:09:08,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.415, max=8.22, mean=-0.2234, std=2.143, absmax=9.415 +2025-10-31 17:09:08,722 ERROR: Encountered non-finite generator loss at iter 6399; skipping update. +2025-10-31 17:09:08,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:08,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:08,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:08,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:08,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=13.64, mean=-0.196, std=3.198, absmax=14.96 +2025-10-31 17:09:08,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=13.6, mean=-0.1923, std=2.739, absmax=13.6 +2025-10-31 17:09:09,226 ERROR: Encountered non-finite generator loss at iter 6400; skipping update. +2025-10-31 17:09:09,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,232 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:09,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:09,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.72, mean=-0.1627, std=2.789, absmax=13.72 +2025-10-31 17:09:09,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.097, max=11.1, mean=-0.1609, std=2.303, absmax=11.1 +2025-10-31 17:09:09,236 INFO: [29..][epoch: 0, step: 6,400, lr:(1.500e-04,)] [eta: 1 day, 17:19:02, time (data): 0.503 (0.000)] +2025-10-31 17:09:09,730 ERROR: Encountered non-finite generator loss at iter 6401; skipping update. +2025-10-31 17:09:09,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:09,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:09,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:09,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:09,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.42, mean=-0.05455, std=3.708, absmax=14.42 +2025-10-31 17:09:09,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.62, mean=-0.028, std=2.957, absmax=11.62 +2025-10-31 17:09:10,233 ERROR: Encountered non-finite generator loss at iter 6402; skipping update. +2025-10-31 17:09:10,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:10,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:10,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.62, mean=0.0251, std=2.855, absmax=11.62 +2025-10-31 17:09:10,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.561, max=10.24, mean=0.03723, std=2.583, absmax=10.24 +2025-10-31 17:09:10,736 ERROR: Encountered non-finite generator loss at iter 6403; skipping update. +2025-10-31 17:09:10,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:10,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:10,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:10,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:10,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.86, mean=-0.09772, std=3.604, absmax=14.86 +2025-10-31 17:09:10,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=11.84, mean=-0.1396, std=2.957, absmax=11.84 +2025-10-31 17:09:11,240 ERROR: Encountered non-finite generator loss at iter 6404; skipping update. +2025-10-31 17:09:11,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:11,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:11,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.64, mean=-0.3092, std=2.914, absmax=14.64 +2025-10-31 17:09:11,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.767, max=9.176, mean=-0.2878, std=2.418, absmax=9.767 +2025-10-31 17:09:11,743 ERROR: Encountered non-finite generator loss at iter 6405; skipping update. +2025-10-31 17:09:11,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:11,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:11,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:11,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:11,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15, mean=-0.1692, std=3.039, absmax=15 +2025-10-31 17:09:11,753 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.48, mean=-0.0723, std=2.633, absmax=11.48 +2025-10-31 17:09:12,248 ERROR: Encountered non-finite generator loss at iter 6406; skipping update. +2025-10-31 17:09:12,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:12,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:12,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.47, mean=-0.3649, std=3.73, absmax=14.54 +2025-10-31 17:09:12,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=11.51, mean=-0.3495, std=3.156, absmax=12.29 +2025-10-31 17:09:12,749 ERROR: Encountered non-finite generator loss at iter 6407; skipping update. +2025-10-31 17:09:12,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:12,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:12,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:12,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:12,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=12.53, mean=-0.07034, std=2.88, absmax=12.53 +2025-10-31 17:09:12,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.578, max=9.981, mean=-0.04799, std=2.364, absmax=9.981 +2025-10-31 17:09:13,253 ERROR: Encountered non-finite generator loss at iter 6408; skipping update. +2025-10-31 17:09:13,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:13,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:13,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=12.89, mean=-0.2325, std=3.266, absmax=15.12 +2025-10-31 17:09:13,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.42, max=9.117, mean=-0.1915, std=2.709, absmax=13.42 +2025-10-31 17:09:13,759 ERROR: Encountered non-finite generator loss at iter 6409; skipping update. +2025-10-31 17:09:13,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:13,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:13,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:13,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:13,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=15.24, mean=-0.1796, std=3.238, absmax=15.24 +2025-10-31 17:09:13,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=12.05, mean=-0.1935, std=2.566, absmax=12.05 +2025-10-31 17:09:14,262 ERROR: Encountered non-finite generator loss at iter 6410; skipping update. +2025-10-31 17:09:14,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,266 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:14,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:14,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=17.06, mean=-0.2964, std=3.076, absmax=17.06 +2025-10-31 17:09:14,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=9.551, mean=-0.2556, std=2.544, absmax=9.977 +2025-10-31 17:09:14,766 ERROR: Encountered non-finite generator loss at iter 6411; skipping update. +2025-10-31 17:09:14,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:14,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:14,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:14,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:14,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.17, max=9.77, mean=-0.2134, std=2.138, absmax=10.17 +2025-10-31 17:09:14,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.587, max=6.772, mean=-0.209, std=1.861, absmax=7.587 +2025-10-31 17:09:15,267 ERROR: Encountered non-finite generator loss at iter 6412; skipping update. +2025-10-31 17:09:15,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:15,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:15,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.95, mean=-0.3245, std=3.417, absmax=13.95 +2025-10-31 17:09:15,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.287, mean=-0.2756, std=2.698, absmax=10.52 +2025-10-31 17:09:15,772 ERROR: Encountered non-finite generator loss at iter 6413; skipping update. +2025-10-31 17:09:15,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:15,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:15,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:15,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:15,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=10.8, mean=-0.2448, std=2.838, absmax=12.69 +2025-10-31 17:09:15,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=8.136, mean=-0.281, std=2.588, absmax=9.903 +2025-10-31 17:09:16,274 ERROR: Encountered non-finite generator loss at iter 6414; skipping update. +2025-10-31 17:09:16,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,282 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:16,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:16,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.83, mean=-0.16, std=3.042, absmax=12.5 +2025-10-31 17:09:16,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=9.137, mean=-0.1773, std=2.557, absmax=11.43 +2025-10-31 17:09:16,779 ERROR: Encountered non-finite generator loss at iter 6415; skipping update. +2025-10-31 17:09:16,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:16,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:16,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:16,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:16,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=15.66, mean=-0.1728, std=3.263, absmax=15.66 +2025-10-31 17:09:16,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.442, mean=-0.185, std=2.72, absmax=11.54 +2025-10-31 17:09:17,281 ERROR: Encountered non-finite generator loss at iter 6416; skipping update. +2025-10-31 17:09:17,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:17,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:17,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.7, mean=-0.2156, std=2.745, absmax=12.25 +2025-10-31 17:09:17,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.893, max=8.522, mean=-0.2033, std=2.18, absmax=9.893 +2025-10-31 17:09:17,785 ERROR: Encountered non-finite generator loss at iter 6417; skipping update. +2025-10-31 17:09:17,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:17,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:17,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:17,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:17,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.77, mean=-0.1807, std=2.964, absmax=14.32 +2025-10-31 17:09:17,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.247, mean=-0.1454, std=2.481, absmax=10.32 +2025-10-31 17:09:18,290 ERROR: Encountered non-finite generator loss at iter 6418; skipping update. +2025-10-31 17:09:18,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:18,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:18,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.34, mean=-0.2857, std=3.1, absmax=12.34 +2025-10-31 17:09:18,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.986, max=9.774, mean=-0.2736, std=2.522, absmax=9.986 +2025-10-31 17:09:18,793 ERROR: Encountered non-finite generator loss at iter 6419; skipping update. +2025-10-31 17:09:18,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,796 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:18,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:18,800 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:18,801 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:18,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.24, mean=-0.229, std=2.999, absmax=13.18 +2025-10-31 17:09:18,803 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.838, max=10.02, mean=-0.1809, std=2.547, absmax=10.02 +2025-10-31 17:09:19,294 ERROR: Encountered non-finite generator loss at iter 6420; skipping update. +2025-10-31 17:09:19,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:19,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:19,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=14.48, mean=-0.04657, std=3.99, absmax=15.23 +2025-10-31 17:09:19,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.25, max=10.15, mean=-0.07453, std=3.278, absmax=13.25 +2025-10-31 17:09:19,797 ERROR: Encountered non-finite generator loss at iter 6421; skipping update. +2025-10-31 17:09:19,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:19,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:19,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:19,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:19,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=15.17, mean=0.0155, std=3.978, absmax=15.17 +2025-10-31 17:09:19,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=14.65, mean=0.009943, std=3.447, absmax=14.65 +2025-10-31 17:09:20,300 ERROR: Encountered non-finite generator loss at iter 6422; skipping update. +2025-10-31 17:09:20,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:20,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:20,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.44, mean=-0.04305, std=3.159, absmax=12.57 +2025-10-31 17:09:20,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=9.438, mean=-0.1144, std=2.848, absmax=11.14 +2025-10-31 17:09:20,802 ERROR: Encountered non-finite generator loss at iter 6423; skipping update. +2025-10-31 17:09:20,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:20,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:20,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:20,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:20,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.66, mean=0.07237, std=3.413, absmax=14.66 +2025-10-31 17:09:20,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=11.5, mean=0.02442, std=2.877, absmax=11.85 +2025-10-31 17:09:21,303 ERROR: Encountered non-finite generator loss at iter 6424; skipping update. +2025-10-31 17:09:21,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:21,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:21,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.07, mean=-0.3524, std=3.001, absmax=13.57 +2025-10-31 17:09:21,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=8.909, mean=-0.2974, std=2.64, absmax=11.79 +2025-10-31 17:09:21,805 ERROR: Encountered non-finite generator loss at iter 6425; skipping update. +2025-10-31 17:09:21,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:21,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:21,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:21,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:21,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=13.07, mean=-0.1392, std=3.127, absmax=15.2 +2025-10-31 17:09:21,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.285, max=10.99, mean=-0.05958, std=2.8, absmax=10.99 +2025-10-31 17:09:22,307 ERROR: Encountered non-finite generator loss at iter 6426; skipping update. +2025-10-31 17:09:22,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:22,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:22,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.39, max=14.58, mean=-0.05889, std=3.579, absmax=16.39 +2025-10-31 17:09:22,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=11.33, mean=-0.1054, std=3.002, absmax=11.33 +2025-10-31 17:09:22,809 ERROR: Encountered non-finite generator loss at iter 6427; skipping update. +2025-10-31 17:09:22,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:22,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:22,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:22,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:22,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.39, mean=-0.2274, std=2.716, absmax=11.39 +2025-10-31 17:09:22,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.092, max=10.12, mean=-0.2304, std=2.433, absmax=10.12 +2025-10-31 17:09:23,311 ERROR: Encountered non-finite generator loss at iter 6428; skipping update. +2025-10-31 17:09:23,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,314 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:23,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:23,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=11.86, mean=-0.1388, std=2.676, absmax=14.84 +2025-10-31 17:09:23,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.002, max=7.816, mean=-0.1632, std=2.189, absmax=9.002 +2025-10-31 17:09:23,812 ERROR: Encountered non-finite generator loss at iter 6429; skipping update. +2025-10-31 17:09:23,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:23,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:23,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:23,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:23,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=10.47, mean=-0.2455, std=2.754, absmax=13.15 +2025-10-31 17:09:23,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.545, max=9.337, mean=-0.2172, std=2.327, absmax=9.545 +2025-10-31 17:09:24,313 ERROR: Encountered non-finite generator loss at iter 6430; skipping update. +2025-10-31 17:09:24,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,317 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,318 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,319 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,320 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:24,321 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:24,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.96, mean=-0.08774, std=3.517, absmax=14.96 +2025-10-31 17:09:24,323 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=13.98, mean=-0.03494, std=2.998, absmax=13.98 +2025-10-31 17:09:24,814 ERROR: Encountered non-finite generator loss at iter 6431; skipping update. +2025-10-31 17:09:24,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:24,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:24,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:24,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:24,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.09, mean=-0.2647, std=2.751, absmax=12.87 +2025-10-31 17:09:24,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.21, max=8.673, mean=-0.2099, std=2.305, absmax=9.21 +2025-10-31 17:09:25,313 ERROR: Encountered non-finite generator loss at iter 6432; skipping update. +2025-10-31 17:09:25,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:25,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:25,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.93, mean=-0.2012, std=2.885, absmax=12.93 +2025-10-31 17:09:25,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.675, max=10.85, mean=-0.2191, std=2.513, absmax=10.85 +2025-10-31 17:09:25,815 ERROR: Encountered non-finite generator loss at iter 6433; skipping update. +2025-10-31 17:09:25,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:25,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:25,823 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:25,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:25,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.94, mean=-0.2368, std=2.822, absmax=14.61 +2025-10-31 17:09:25,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=9.774, mean=-0.2278, std=2.249, absmax=10.39 +2025-10-31 17:09:26,317 ERROR: Encountered non-finite generator loss at iter 6434; skipping update. +2025-10-31 17:09:26,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:26,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:26,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.24, mean=-0.1045, std=3.406, absmax=13.88 +2025-10-31 17:09:26,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.238, mean=-0.1194, std=2.598, absmax=11.21 +2025-10-31 17:09:26,819 ERROR: Encountered non-finite generator loss at iter 6435; skipping update. +2025-10-31 17:09:26,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:26,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:26,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:26,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:26,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=14.96, mean=-0.007198, std=2.728, absmax=14.96 +2025-10-31 17:09:26,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.627, max=11.8, mean=-0.0289, std=2.437, absmax=11.8 +2025-10-31 17:09:27,321 ERROR: Encountered non-finite generator loss at iter 6436; skipping update. +2025-10-31 17:09:27,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,324 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:27,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:27,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=11.83, mean=-0.1827, std=2.924, absmax=13.46 +2025-10-31 17:09:27,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.16, mean=-0.1918, std=2.421, absmax=10.29 +2025-10-31 17:09:27,821 ERROR: Encountered non-finite generator loss at iter 6437; skipping update. +2025-10-31 17:09:27,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:27,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:27,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:27,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:27,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.31, mean=-0.227, std=2.568, absmax=12.56 +2025-10-31 17:09:27,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.722, max=9.602, mean=-0.2233, std=2.194, absmax=9.602 +2025-10-31 17:09:28,323 ERROR: Encountered non-finite generator loss at iter 6438; skipping update. +2025-10-31 17:09:28,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:28,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:28,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.22, mean=-0.1944, std=2.785, absmax=12.78 +2025-10-31 17:09:28,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.732, max=10.49, mean=-0.2272, std=2.401, absmax=10.49 +2025-10-31 17:09:28,826 ERROR: Encountered non-finite generator loss at iter 6439; skipping update. +2025-10-31 17:09:28,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:28,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:28,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:28,833 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:28,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=11.96, mean=-0.2763, std=3.499, absmax=14.11 +2025-10-31 17:09:28,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=9.802, mean=-0.2928, std=3.096, absmax=11.7 +2025-10-31 17:09:29,326 ERROR: Encountered non-finite generator loss at iter 6440; skipping update. +2025-10-31 17:09:29,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:29,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:29,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=15.6, mean=-0.1383, std=2.889, absmax=15.6 +2025-10-31 17:09:29,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=10.9, mean=-0.09879, std=2.282, absmax=10.9 +2025-10-31 17:09:29,829 ERROR: Encountered non-finite generator loss at iter 6441; skipping update. +2025-10-31 17:09:29,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:29,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:29,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:29,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:29,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=14.76, mean=-0.01269, std=3.655, absmax=14.76 +2025-10-31 17:09:29,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=13.14, mean=-0.018, std=3.105, absmax=13.14 +2025-10-31 17:09:30,331 ERROR: Encountered non-finite generator loss at iter 6442; skipping update. +2025-10-31 17:09:30,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:30,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:30,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.37, mean=-0.05968, std=2.964, absmax=13.25 +2025-10-31 17:09:30,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.768, max=9.677, mean=-0.1137, std=2.428, absmax=9.768 +2025-10-31 17:09:30,832 ERROR: Encountered non-finite generator loss at iter 6443; skipping update. +2025-10-31 17:09:30,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:30,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:30,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:30,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:30,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=10.49, mean=-0.1798, std=2.438, absmax=11.57 +2025-10-31 17:09:30,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.774, max=8.725, mean=-0.1538, std=2.097, absmax=8.774 +2025-10-31 17:09:31,333 ERROR: Encountered non-finite generator loss at iter 6444; skipping update. +2025-10-31 17:09:31,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:31,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:31,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.55, mean=-0.0003026, std=2.982, absmax=14.34 +2025-10-31 17:09:31,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.892, max=12.62, mean=-0.009383, std=2.672, absmax=12.62 +2025-10-31 17:09:31,836 ERROR: Encountered non-finite generator loss at iter 6445; skipping update. +2025-10-31 17:09:31,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:31,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:31,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:31,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:31,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.52, mean=-0.2617, std=2.385, absmax=12.03 +2025-10-31 17:09:31,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.36, max=8.196, mean=-0.2237, std=2.024, absmax=8.36 +2025-10-31 17:09:32,338 ERROR: Encountered non-finite generator loss at iter 6446; skipping update. +2025-10-31 17:09:32,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:32,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:32,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.81, mean=-0.1613, std=3.014, absmax=13.81 +2025-10-31 17:09:32,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.311, max=10.26, mean=-0.2199, std=2.405, absmax=10.26 +2025-10-31 17:09:32,842 ERROR: Encountered non-finite generator loss at iter 6447; skipping update. +2025-10-31 17:09:32,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:32,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:32,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:32,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:32,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=16.18, mean=-0.0878, std=3, absmax=16.18 +2025-10-31 17:09:32,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.88, mean=-0.1306, std=2.541, absmax=11.88 +2025-10-31 17:09:33,349 ERROR: Encountered non-finite generator loss at iter 6448; skipping update. +2025-10-31 17:09:33,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:33,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:33,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.12, mean=-0.1646, std=2.909, absmax=14.12 +2025-10-31 17:09:33,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.647, max=11.04, mean=-0.1724, std=2.421, absmax=11.04 +2025-10-31 17:09:33,855 ERROR: Encountered non-finite generator loss at iter 6449; skipping update. +2025-10-31 17:09:33,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:33,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:33,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:33,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:33,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.77, mean=-0.2222, std=2.551, absmax=12 +2025-10-31 17:09:33,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=7.512, mean=-0.2186, std=2.14, absmax=9.614 +2025-10-31 17:09:34,355 ERROR: Encountered non-finite generator loss at iter 6450; skipping update. +2025-10-31 17:09:34,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,359 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,360 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,363 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:34,364 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:34,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.94, mean=-0.04908, std=2.578, absmax=13.11 +2025-10-31 17:09:34,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.587, max=10.64, mean=-0.07581, std=2.152, absmax=10.64 +2025-10-31 17:09:34,861 ERROR: Encountered non-finite generator loss at iter 6451; skipping update. +2025-10-31 17:09:34,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,863 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:34,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:34,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:34,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:34,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.07, mean=-0.2495, std=2.586, absmax=13.07 +2025-10-31 17:09:34,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.805, max=10.99, mean=-0.2648, std=2.104, absmax=10.99 +2025-10-31 17:09:35,364 ERROR: Encountered non-finite generator loss at iter 6452; skipping update. +2025-10-31 17:09:35,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,368 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:35,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:35,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.24, mean=0.1721, std=3.672, absmax=14.24 +2025-10-31 17:09:35,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.897, max=11.93, mean=0.1512, std=2.954, absmax=11.93 +2025-10-31 17:09:35,867 ERROR: Encountered non-finite generator loss at iter 6453; skipping update. +2025-10-31 17:09:35,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:35,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:35,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:35,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:35,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.66, mean=-0.04905, std=2.565, absmax=12.66 +2025-10-31 17:09:35,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.303, max=9.382, mean=-0.108, std=1.964, absmax=9.382 +2025-10-31 17:09:36,370 ERROR: Encountered non-finite generator loss at iter 6454; skipping update. +2025-10-31 17:09:36,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:36,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:36,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.25, mean=0.007585, std=2.991, absmax=13.25 +2025-10-31 17:09:36,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.3, mean=-0.0316, std=2.584, absmax=11.3 +2025-10-31 17:09:36,872 ERROR: Encountered non-finite generator loss at iter 6455; skipping update. +2025-10-31 17:09:36,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:36,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:36,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:36,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:36,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.14, mean=-0.1157, std=2.669, absmax=15.14 +2025-10-31 17:09:36,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=11.11, mean=-0.1512, std=2.274, absmax=11.11 +2025-10-31 17:09:37,373 ERROR: Encountered non-finite generator loss at iter 6456; skipping update. +2025-10-31 17:09:37,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:37,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:37,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.65, mean=0.05812, std=3.359, absmax=14.65 +2025-10-31 17:09:37,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.704, max=11.67, mean=0.04277, std=2.895, absmax=11.67 +2025-10-31 17:09:37,874 ERROR: Encountered non-finite generator loss at iter 6457; skipping update. +2025-10-31 17:09:37,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:37,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:37,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:37,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:37,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.98, mean=-0.2494, std=2.836, absmax=13.98 +2025-10-31 17:09:37,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.35, mean=-0.1962, std=2.366, absmax=10.35 +2025-10-31 17:09:38,373 ERROR: Encountered non-finite generator loss at iter 6458; skipping update. +2025-10-31 17:09:38,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:38,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:38,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.93, mean=-0.1227, std=3.043, absmax=13.21 +2025-10-31 17:09:38,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.154, max=9.853, mean=-0.1085, std=2.498, absmax=9.853 +2025-10-31 17:09:38,875 ERROR: Encountered non-finite generator loss at iter 6459; skipping update. +2025-10-31 17:09:38,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:38,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:38,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:38,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:38,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=12.39, mean=-0.1977, std=2.341, absmax=12.39 +2025-10-31 17:09:38,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.597, max=9.015, mean=-0.172, std=2.034, absmax=9.015 +2025-10-31 17:09:39,375 ERROR: Encountered non-finite generator loss at iter 6460; skipping update. +2025-10-31 17:09:39,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,378 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:39,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:39,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.43, mean=-0.2637, std=3.107, absmax=13.51 +2025-10-31 17:09:39,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=8.485, mean=-0.2444, std=2.613, absmax=11.68 +2025-10-31 17:09:39,876 ERROR: Encountered non-finite generator loss at iter 6461; skipping update. +2025-10-31 17:09:39,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,879 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,880 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:39,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:39,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:39,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:39,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=14.25, mean=-0.09101, std=2.996, absmax=14.46 +2025-10-31 17:09:39,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=11.44, mean=-0.1251, std=2.612, absmax=11.44 +2025-10-31 17:09:40,394 ERROR: Encountered non-finite generator loss at iter 6462; skipping update. +2025-10-31 17:09:40,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:40,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:40,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.02, mean=-0.08491, std=2.923, absmax=12.96 +2025-10-31 17:09:40,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.775, max=9.534, mean=-0.105, std=2.291, absmax=9.775 +2025-10-31 17:09:40,896 ERROR: Encountered non-finite generator loss at iter 6463; skipping update. +2025-10-31 17:09:40,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:40,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:40,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:40,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:40,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.85, mean=-0.2493, std=2.699, absmax=15.85 +2025-10-31 17:09:40,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.54, max=10.43, mean=-0.2455, std=2.212, absmax=10.43 +2025-10-31 17:09:41,395 ERROR: Encountered non-finite generator loss at iter 6464; skipping update. +2025-10-31 17:09:41,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:41,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:41,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.34, mean=-0.1762, std=2.53, absmax=13.34 +2025-10-31 17:09:41,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.564, mean=-0.2037, std=2.178, absmax=10.47 +2025-10-31 17:09:41,898 ERROR: Encountered non-finite generator loss at iter 6465; skipping update. +2025-10-31 17:09:41,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:41,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:41,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:41,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:41,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=14.3, mean=-0.01236, std=3.154, absmax=15.55 +2025-10-31 17:09:41,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.92, mean=-0.01564, std=2.711, absmax=11.92 +2025-10-31 17:09:42,398 ERROR: Encountered non-finite generator loss at iter 6466; skipping update. +2025-10-31 17:09:42,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:42,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:42,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=11.36, mean=-0.1121, std=3.015, absmax=13.95 +2025-10-31 17:09:42,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.196, mean=-0.1419, std=2.468, absmax=10 +2025-10-31 17:09:42,900 ERROR: Encountered non-finite generator loss at iter 6467; skipping update. +2025-10-31 17:09:42,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:42,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:42,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:42,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:42,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.63, mean=-0.3113, std=2.693, absmax=12.75 +2025-10-31 17:09:42,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.885, max=11.2, mean=-0.3278, std=2.395, absmax=11.2 +2025-10-31 17:09:43,400 ERROR: Encountered non-finite generator loss at iter 6468; skipping update. +2025-10-31 17:09:43,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,406 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,407 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:43,408 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:43,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.78, mean=0.03938, std=3.218, absmax=12.78 +2025-10-31 17:09:43,410 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.473, mean=0.05783, std=2.7, absmax=10.33 +2025-10-31 17:09:43,902 ERROR: Encountered non-finite generator loss at iter 6469; skipping update. +2025-10-31 17:09:43,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,906 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,907 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:43,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:43,909 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:43,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:43,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.62, mean=-0.2213, std=2.527, absmax=12.61 +2025-10-31 17:09:43,912 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=8.085, mean=-0.226, std=2.159, absmax=9.927 +2025-10-31 17:09:44,402 ERROR: Encountered non-finite generator loss at iter 6470; skipping update. +2025-10-31 17:09:44,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:44,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:44,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.21, max=13.93, mean=-0.05678, std=3.535, absmax=18.21 +2025-10-31 17:09:44,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.7, max=11.4, mean=-0.05424, std=2.901, absmax=13.7 +2025-10-31 17:09:44,903 ERROR: Encountered non-finite generator loss at iter 6471; skipping update. +2025-10-31 17:09:44,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:44,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:44,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:44,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:44,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=10.26, mean=-0.2411, std=2.573, absmax=11.11 +2025-10-31 17:09:44,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.574, mean=-0.2344, std=2.392, absmax=10.6 +2025-10-31 17:09:45,405 ERROR: Encountered non-finite generator loss at iter 6472; skipping update. +2025-10-31 17:09:45,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,408 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:45,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:45,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=12.44, mean=-0.2391, std=2.817, absmax=12.44 +2025-10-31 17:09:45,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.044, max=10.05, mean=-0.2743, std=2.321, absmax=10.05 +2025-10-31 17:09:45,907 ERROR: Encountered non-finite generator loss at iter 6473; skipping update. +2025-10-31 17:09:45,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:45,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:45,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:45,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:45,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.25, mean=-0.05998, std=3.272, absmax=14.25 +2025-10-31 17:09:45,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.926, max=11.77, mean=-0.1289, std=2.731, absmax=11.77 +2025-10-31 17:09:46,408 ERROR: Encountered non-finite generator loss at iter 6474; skipping update. +2025-10-31 17:09:46,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,412 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:46,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:46,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.818, max=9.371, mean=-0.2386, std=2.346, absmax=9.818 +2025-10-31 17:09:46,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.343, max=8.504, mean=-0.2062, std=2.035, absmax=8.504 +2025-10-31 17:09:46,911 ERROR: Encountered non-finite generator loss at iter 6475; skipping update. +2025-10-31 17:09:46,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:46,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:46,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:46,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:46,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.82, mean=-0.01493, std=3.386, absmax=13.82 +2025-10-31 17:09:46,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.255, max=11.27, mean=-0.0537, std=2.634, absmax=11.27 +2025-10-31 17:09:47,413 ERROR: Encountered non-finite generator loss at iter 6476; skipping update. +2025-10-31 17:09:47,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,416 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:47,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:47,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.9, mean=-0.179, std=3.136, absmax=12.9 +2025-10-31 17:09:47,424 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=9.218, mean=-0.2194, std=2.75, absmax=12.02 +2025-10-31 17:09:47,915 ERROR: Encountered non-finite generator loss at iter 6477; skipping update. +2025-10-31 17:09:47,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:47,922 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:47,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:47,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:47,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=11.47, mean=0.04232, std=2.804, absmax=11.47 +2025-10-31 17:09:47,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.43, max=10.22, mean=0.04382, std=2.326, absmax=10.22 +2025-10-31 17:09:48,417 ERROR: Encountered non-finite generator loss at iter 6478; skipping update. +2025-10-31 17:09:48,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:48,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:48,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.56, mean=-0.1448, std=2.682, absmax=12.56 +2025-10-31 17:09:48,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.987, max=11.4, mean=-0.1373, std=2.331, absmax=11.4 +2025-10-31 17:09:48,920 ERROR: Encountered non-finite generator loss at iter 6479; skipping update. +2025-10-31 17:09:48,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:48,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:48,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:48,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:48,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.29, mean=-0.2277, std=3.201, absmax=14.29 +2025-10-31 17:09:48,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.66, mean=-0.245, std=2.774, absmax=11.66 +2025-10-31 17:09:49,421 ERROR: Encountered non-finite generator loss at iter 6480; skipping update. +2025-10-31 17:09:49,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:49,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:49,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.19, mean=-0.1039, std=2.734, absmax=13.71 +2025-10-31 17:09:49,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.02, mean=-0.1387, std=2.439, absmax=11.02 +2025-10-31 17:09:49,923 ERROR: Encountered non-finite generator loss at iter 6481; skipping update. +2025-10-31 17:09:49,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:49,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:49,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:49,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:49,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=16.63, mean=-0.1661, std=3.334, absmax=16.63 +2025-10-31 17:09:49,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=13.68, mean=-0.1652, std=2.757, absmax=13.68 +2025-10-31 17:09:50,426 ERROR: Encountered non-finite generator loss at iter 6482; skipping update. +2025-10-31 17:09:50,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:50,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:50,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.69, mean=-0.2495, std=2.711, absmax=13.03 +2025-10-31 17:09:50,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=8.917, mean=-0.2467, std=2.388, absmax=10.32 +2025-10-31 17:09:50,928 ERROR: Encountered non-finite generator loss at iter 6483; skipping update. +2025-10-31 17:09:50,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:50,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:50,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:50,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:50,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.31, mean=-0.2795, std=2.873, absmax=13.77 +2025-10-31 17:09:50,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.7, mean=-0.2511, std=2.319, absmax=10.07 +2025-10-31 17:09:51,429 ERROR: Encountered non-finite generator loss at iter 6484; skipping update. +2025-10-31 17:09:51,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:51,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:51,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14.55, mean=0.1494, std=3.284, absmax=14.55 +2025-10-31 17:09:51,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.649, max=10.38, mean=0.06131, std=2.646, absmax=10.38 +2025-10-31 17:09:51,931 ERROR: Encountered non-finite generator loss at iter 6485; skipping update. +2025-10-31 17:09:51,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:51,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:51,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:51,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:51,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.96, mean=0.08735, std=3.22, absmax=13.96 +2025-10-31 17:09:51,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.01, mean=0.08958, std=2.669, absmax=11.01 +2025-10-31 17:09:52,432 ERROR: Encountered non-finite generator loss at iter 6486; skipping update. +2025-10-31 17:09:52,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:52,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:52,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=15.32, mean=-0.3986, std=3.487, absmax=15.32 +2025-10-31 17:09:52,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.44, mean=-0.375, std=2.834, absmax=10.9 +2025-10-31 17:09:52,934 ERROR: Encountered non-finite generator loss at iter 6487; skipping update. +2025-10-31 17:09:52,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:52,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:52,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:52,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:52,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=11.49, mean=-0.1465, std=2.682, absmax=11.49 +2025-10-31 17:09:52,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.455, max=9.188, mean=-0.1562, std=2.286, absmax=9.455 +2025-10-31 17:09:53,434 ERROR: Encountered non-finite generator loss at iter 6488; skipping update. +2025-10-31 17:09:53,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:53,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:53,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.79, max=13, mean=-0.2832, std=3.219, absmax=15.79 +2025-10-31 17:09:53,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.13, mean=-0.2656, std=2.595, absmax=10.87 +2025-10-31 17:09:53,936 ERROR: Encountered non-finite generator loss at iter 6489; skipping update. +2025-10-31 17:09:53,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:53,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:53,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:53,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:53,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.25, mean=-0.1951, std=2.646, absmax=12.25 +2025-10-31 17:09:53,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.969, max=10.02, mean=-0.1744, std=2.305, absmax=10.02 +2025-10-31 17:09:54,438 ERROR: Encountered non-finite generator loss at iter 6490; skipping update. +2025-10-31 17:09:54,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:54,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:54,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=9.963, mean=-0.204, std=2.521, absmax=13.18 +2025-10-31 17:09:54,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=8.383, mean=-0.1968, std=2.186, absmax=9.51 +2025-10-31 17:09:54,941 ERROR: Encountered non-finite generator loss at iter 6491; skipping update. +2025-10-31 17:09:54,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:54,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:54,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:54,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:54,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=16.15, mean=0.03628, std=3.396, absmax=16.15 +2025-10-31 17:09:54,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=13.35, mean=0.02567, std=2.934, absmax=13.35 +2025-10-31 17:09:55,442 ERROR: Encountered non-finite generator loss at iter 6492; skipping update. +2025-10-31 17:09:55,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:55,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:55,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.11, mean=-0.1404, std=2.501, absmax=11.31 +2025-10-31 17:09:55,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.534, mean=-0.2064, std=2.11, absmax=10.14 +2025-10-31 17:09:55,944 ERROR: Encountered non-finite generator loss at iter 6493; skipping update. +2025-10-31 17:09:55,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:55,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:55,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:55,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:55,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.63, mean=-0.2857, std=2.564, absmax=11.63 +2025-10-31 17:09:55,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.976, max=8.249, mean=-0.272, std=2.151, absmax=8.976 +2025-10-31 17:09:56,445 ERROR: Encountered non-finite generator loss at iter 6494; skipping update. +2025-10-31 17:09:56,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:56,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:56,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=17.13, mean=-0.1916, std=3.051, absmax=17.13 +2025-10-31 17:09:56,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.859, mean=-0.2297, std=2.59, absmax=10.36 +2025-10-31 17:09:56,947 ERROR: Encountered non-finite generator loss at iter 6495; skipping update. +2025-10-31 17:09:56,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:56,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:56,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:56,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:56,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.18, mean=-0.1478, std=2.662, absmax=12.35 +2025-10-31 17:09:56,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.012, max=10.82, mean=-0.07752, std=2.289, absmax=10.82 +2025-10-31 17:09:57,447 ERROR: Encountered non-finite generator loss at iter 6496; skipping update. +2025-10-31 17:09:57,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:57,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:57,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.87, mean=-0.2931, std=2.882, absmax=12.5 +2025-10-31 17:09:57,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=8.757, mean=-0.26, std=2.628, absmax=11.32 +2025-10-31 17:09:57,952 ERROR: Encountered non-finite generator loss at iter 6497; skipping update. +2025-10-31 17:09:57,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:57,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:57,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:57,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:57,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.91, mean=-0.109, std=2.793, absmax=12.19 +2025-10-31 17:09:57,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.689, max=7.689, mean=-0.1316, std=2.193, absmax=8.689 +2025-10-31 17:09:58,452 ERROR: Encountered non-finite generator loss at iter 6498; skipping update. +2025-10-31 17:09:58,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:58,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:58,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.11, mean=-0.1822, std=2.97, absmax=13.11 +2025-10-31 17:09:58,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.99, max=8.79, mean=-0.1661, std=2.448, absmax=8.99 +2025-10-31 17:09:58,952 ERROR: Encountered non-finite generator loss at iter 6499; skipping update. +2025-10-31 17:09:58,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:58,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:58,960 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:58,961 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:58,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.83, mean=-0.1822, std=2.743, absmax=13.3 +2025-10-31 17:09:58,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=7.559, mean=-0.2102, std=2.232, absmax=10.78 +2025-10-31 17:09:59,454 ERROR: Encountered non-finite generator loss at iter 6500; skipping update. +2025-10-31 17:09:59,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:59,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:59,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.41, max=12.25, mean=-0.1482, std=3.304, absmax=16.41 +2025-10-31 17:09:59,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.763, max=11.02, mean=-0.1933, std=2.559, absmax=11.02 +2025-10-31 17:09:59,463 INFO: [29..][epoch: 0, step: 6,500, lr:(1.500e-04,)] [eta: 1 day, 17:11:15, time (data): 0.502 (0.000)] +2025-10-31 17:09:59,953 ERROR: Encountered non-finite generator loss at iter 6501; skipping update. +2025-10-31 17:09:59,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:09:59,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:09:59,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:09:59,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:09:59,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=11.74, mean=-0.2606, std=2.559, absmax=11.74 +2025-10-31 17:09:59,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.954, max=7.826, mean=-0.2717, std=2.065, absmax=8.954 +2025-10-31 17:10:00,454 ERROR: Encountered non-finite generator loss at iter 6502; skipping update. +2025-10-31 17:10:00,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:00,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:00,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=15.17, mean=-0.1267, std=3.153, absmax=15.17 +2025-10-31 17:10:00,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=13.4, mean=-0.09947, std=2.833, absmax=13.4 +2025-10-31 17:10:00,956 ERROR: Encountered non-finite generator loss at iter 6503; skipping update. +2025-10-31 17:10:00,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:00,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:00,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:00,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:00,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.01, mean=0.05204, std=3.085, absmax=13.01 +2025-10-31 17:10:00,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.58, mean=0.06095, std=2.552, absmax=10.58 +2025-10-31 17:10:01,460 ERROR: Encountered non-finite generator loss at iter 6504; skipping update. +2025-10-31 17:10:01,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:01,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:01,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=10.29, mean=-0.2679, std=2.637, absmax=11.03 +2025-10-31 17:10:01,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=8.647, mean=-0.2578, std=2.368, absmax=10.76 +2025-10-31 17:10:01,966 ERROR: Encountered non-finite generator loss at iter 6505; skipping update. +2025-10-31 17:10:01,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:01,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:01,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:01,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:01,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.78, mean=-0.2127, std=3.384, absmax=13.69 +2025-10-31 17:10:01,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=9.973, mean=-0.1868, std=2.817, absmax=12.27 +2025-10-31 17:10:02,471 ERROR: Encountered non-finite generator loss at iter 6506; skipping update. +2025-10-31 17:10:02,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,474 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:02,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:02,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.77, mean=-0.3436, std=3.276, absmax=13.05 +2025-10-31 17:10:02,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.61, mean=-0.3402, std=2.759, absmax=11 +2025-10-31 17:10:02,974 ERROR: Encountered non-finite generator loss at iter 6507; skipping update. +2025-10-31 17:10:02,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:02,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:02,980 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:02,981 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:02,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.3, mean=-0.2251, std=2.724, absmax=13.14 +2025-10-31 17:10:02,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=11.03, mean=-0.234, std=2.442, absmax=11.31 +2025-10-31 17:10:03,479 ERROR: Encountered non-finite generator loss at iter 6508; skipping update. +2025-10-31 17:10:03,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:03,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:03,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=10.67, mean=-0.1908, std=2.794, absmax=12.2 +2025-10-31 17:10:03,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=9.114, mean=-0.185, std=2.487, absmax=10.39 +2025-10-31 17:10:03,984 ERROR: Encountered non-finite generator loss at iter 6509; skipping update. +2025-10-31 17:10:03,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:03,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:03,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:03,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:03,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=10.54, mean=-0.3083, std=2.354, absmax=11.22 +2025-10-31 17:10:03,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=9.625, mean=-0.2822, std=1.972, absmax=11.11 +2025-10-31 17:10:04,489 ERROR: Encountered non-finite generator loss at iter 6510; skipping update. +2025-10-31 17:10:04,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:04,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:04,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:04,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:04,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:04,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.86, mean=-0.3051, std=2.826, absmax=12.87 +2025-10-31 17:10:04,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.085, mean=-0.3175, std=2.428, absmax=10.2 +2025-10-31 17:10:04,994 ERROR: Encountered non-finite generator loss at iter 6511; skipping update. +2025-10-31 17:10:04,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:04,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:04,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:04,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:05,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:05,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:05,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.74, mean=-0.1731, std=2.983, absmax=13.74 +2025-10-31 17:10:05,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.992, max=10.59, mean=-0.175, std=2.354, absmax=10.59 +2025-10-31 17:10:05,497 ERROR: Encountered non-finite generator loss at iter 6512; skipping update. +2025-10-31 17:10:05,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:05,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:05,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:05,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:05,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:05,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:05,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:05,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:05,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.88, mean=-0.1814, std=2.597, absmax=11.88 +2025-10-31 17:10:05,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.374, max=10.25, mean=-0.1483, std=2.27, absmax=10.25 +2025-10-31 17:10:06,001 ERROR: Encountered non-finite generator loss at iter 6513; skipping update. +2025-10-31 17:10:06,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:06,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:06,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.51, mean=-0.2088, std=2.916, absmax=13.43 +2025-10-31 17:10:06,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.879, mean=-0.1758, std=2.443, absmax=10.85 +2025-10-31 17:10:06,504 ERROR: Encountered non-finite generator loss at iter 6514; skipping update. +2025-10-31 17:10:06,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,510 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:06,512 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:06,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:06,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:06,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.19, mean=0.1441, std=3.396, absmax=15.19 +2025-10-31 17:10:06,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.015, max=14.81, mean=0.1254, std=3.042, absmax=14.81 +2025-10-31 17:10:07,009 ERROR: Encountered non-finite generator loss at iter 6515; skipping update. +2025-10-31 17:10:07,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:07,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:07,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.1, mean=0.07224, std=3.45, absmax=13.1 +2025-10-31 17:10:07,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.459, max=11.3, mean=0.04791, std=2.874, absmax=11.3 +2025-10-31 17:10:07,511 ERROR: Encountered non-finite generator loss at iter 6516; skipping update. +2025-10-31 17:10:07,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:07,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:07,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:07,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:07,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.42, mean=-0.06429, std=3.049, absmax=14.42 +2025-10-31 17:10:07,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.932, mean=-0.1147, std=2.531, absmax=10.69 +2025-10-31 17:10:08,014 ERROR: Encountered non-finite generator loss at iter 6517; skipping update. +2025-10-31 17:10:08,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:08,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:08,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.92, mean=-0.205, std=3.261, absmax=12.92 +2025-10-31 17:10:08,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=9.551, mean=-0.217, std=2.613, absmax=11.61 +2025-10-31 17:10:08,518 ERROR: Encountered non-finite generator loss at iter 6518; skipping update. +2025-10-31 17:10:08,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,522 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:08,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:08,524 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:08,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:08,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=11.45, mean=-0.1719, std=2.425, absmax=11.45 +2025-10-31 17:10:08,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.509, max=9.611, mean=-0.1748, std=2.136, absmax=9.611 +2025-10-31 17:10:09,021 ERROR: Encountered non-finite generator loss at iter 6519; skipping update. +2025-10-31 17:10:09,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,024 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,028 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:09,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:09,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.12, mean=0.03255, std=3.806, absmax=14.12 +2025-10-31 17:10:09,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.676, max=14.03, mean=0.01743, std=3.322, absmax=14.03 +2025-10-31 17:10:09,525 ERROR: Encountered non-finite generator loss at iter 6520; skipping update. +2025-10-31 17:10:09,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,528 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,530 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:09,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:09,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:09,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:09,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.25, mean=-0.1139, std=3.397, absmax=14.19 +2025-10-31 17:10:09,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=11.02, mean=-0.1268, std=3.047, absmax=12.2 +2025-10-31 17:10:10,029 ERROR: Encountered non-finite generator loss at iter 6521; skipping update. +2025-10-31 17:10:10,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:10,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:10,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.71, mean=-0.2078, std=2.967, absmax=14.04 +2025-10-31 17:10:10,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=9.298, mean=-0.1949, std=2.452, absmax=12.12 +2025-10-31 17:10:10,532 ERROR: Encountered non-finite generator loss at iter 6522; skipping update. +2025-10-31 17:10:10,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:10,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:10,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:10,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:10,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.61, mean=-0.03155, std=3.107, absmax=12.65 +2025-10-31 17:10:10,542 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.587, max=10.19, mean=-0.1132, std=2.579, absmax=10.19 +2025-10-31 17:10:11,037 ERROR: Encountered non-finite generator loss at iter 6523; skipping update. +2025-10-31 17:10:11,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:11,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:11,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.39, mean=-0.01716, std=2.684, absmax=13.39 +2025-10-31 17:10:11,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.99, max=9.881, mean=-0.02708, std=2.219, absmax=9.881 +2025-10-31 17:10:11,539 ERROR: Encountered non-finite generator loss at iter 6524; skipping update. +2025-10-31 17:10:11,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:11,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:11,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:11,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:11,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.93, mean=0.1342, std=4.166, absmax=14.93 +2025-10-31 17:10:11,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=14.61, mean=0.1708, std=3.629, absmax=14.61 +2025-10-31 17:10:12,044 ERROR: Encountered non-finite generator loss at iter 6525; skipping update. +2025-10-31 17:10:12,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:12,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:12,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.42, mean=-0.1148, std=3.251, absmax=14.35 +2025-10-31 17:10:12,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=11.21, mean=-0.1031, std=2.759, absmax=11.58 +2025-10-31 17:10:12,548 ERROR: Encountered non-finite generator loss at iter 6526; skipping update. +2025-10-31 17:10:12,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:12,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:12,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:12,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:12,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.67, mean=-0.3076, std=3.311, absmax=12.67 +2025-10-31 17:10:12,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.81, max=10.05, mean=-0.284, std=2.982, absmax=12.81 +2025-10-31 17:10:13,051 ERROR: Encountered non-finite generator loss at iter 6527; skipping update. +2025-10-31 17:10:13,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:13,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:13,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.13, mean=0.02592, std=2.988, absmax=14.13 +2025-10-31 17:10:13,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.033, max=12.27, mean=-0.006983, std=2.499, absmax=12.27 +2025-10-31 17:10:13,554 ERROR: Encountered non-finite generator loss at iter 6528; skipping update. +2025-10-31 17:10:13,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:13,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:13,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:13,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:13,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.16, mean=-0.1195, std=3.131, absmax=13.54 +2025-10-31 17:10:13,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=9.753, mean=-0.1261, std=2.776, absmax=11.87 +2025-10-31 17:10:14,057 ERROR: Encountered non-finite generator loss at iter 6529; skipping update. +2025-10-31 17:10:14,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:14,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:14,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.88, mean=-0.2644, std=2.454, absmax=11.96 +2025-10-31 17:10:14,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.767, max=9.507, mean=-0.2143, std=2.173, absmax=9.507 +2025-10-31 17:10:14,562 ERROR: Encountered non-finite generator loss at iter 6530; skipping update. +2025-10-31 17:10:14,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:14,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:14,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:14,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:14,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.78, mean=-0.1039, std=3.271, absmax=12.78 +2025-10-31 17:10:14,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.53, mean=-0.08346, std=2.815, absmax=11.53 +2025-10-31 17:10:15,066 ERROR: Encountered non-finite generator loss at iter 6531; skipping update. +2025-10-31 17:10:15,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,071 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,072 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:15,073 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:15,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.97, mean=-0.2167, std=2.566, absmax=12.27 +2025-10-31 17:10:15,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.443, max=7.408, mean=-0.2241, std=2.202, absmax=9.443 +2025-10-31 17:10:15,567 ERROR: Encountered non-finite generator loss at iter 6532; skipping update. +2025-10-31 17:10:15,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:15,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:15,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:15,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:15,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.76, mean=-0.0337, std=2.928, absmax=12.76 +2025-10-31 17:10:15,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=9.242, mean=-0.03984, std=2.514, absmax=9.67 +2025-10-31 17:10:16,069 ERROR: Encountered non-finite generator loss at iter 6533; skipping update. +2025-10-31 17:10:16,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,071 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:16,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:16,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.77, mean=-0.2352, std=2.643, absmax=12.77 +2025-10-31 17:10:16,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.957, max=9.021, mean=-0.2553, std=2.141, absmax=9.021 +2025-10-31 17:10:16,571 ERROR: Encountered non-finite generator loss at iter 6534; skipping update. +2025-10-31 17:10:16,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:16,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:16,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:16,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:16,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.98, mean=-0.3145, std=3.324, absmax=13.26 +2025-10-31 17:10:16,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.4, max=8.382, mean=-0.2872, std=2.773, absmax=9.4 +2025-10-31 17:10:17,074 ERROR: Encountered non-finite generator loss at iter 6535; skipping update. +2025-10-31 17:10:17,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:17,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:17,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.49, mean=-0.06121, std=3.287, absmax=13.49 +2025-10-31 17:10:17,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=12.55, mean=-0.109, std=2.967, absmax=12.55 +2025-10-31 17:10:17,577 ERROR: Encountered non-finite generator loss at iter 6536; skipping update. +2025-10-31 17:10:17,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:17,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:17,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:17,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:17,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=10.93, mean=-0.1789, std=2.439, absmax=11.19 +2025-10-31 17:10:17,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.65, max=9.097, mean=-0.1564, std=2.083, absmax=9.65 +2025-10-31 17:10:18,076 ERROR: Encountered non-finite generator loss at iter 6537; skipping update. +2025-10-31 17:10:18,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:18,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:18,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.4, mean=-0.08114, std=2.588, absmax=12.4 +2025-10-31 17:10:18,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.107, max=10.64, mean=-0.04516, std=2.251, absmax=10.64 +2025-10-31 17:10:18,577 ERROR: Encountered non-finite generator loss at iter 6538; skipping update. +2025-10-31 17:10:18,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:18,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:18,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:18,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:18,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.19, mean=-0.1579, std=2.631, absmax=13.19 +2025-10-31 17:10:18,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.168, max=9.42, mean=-0.1827, std=2.191, absmax=9.42 +2025-10-31 17:10:19,079 ERROR: Encountered non-finite generator loss at iter 6539; skipping update. +2025-10-31 17:10:19,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:19,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:19,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.39, mean=-0.2451, std=2.722, absmax=13.39 +2025-10-31 17:10:19,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.37, mean=-0.2493, std=2.329, absmax=10.37 +2025-10-31 17:10:19,581 ERROR: Encountered non-finite generator loss at iter 6540; skipping update. +2025-10-31 17:10:19,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:19,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:19,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:19,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:19,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.15, mean=-0.1928, std=2.97, absmax=14.15 +2025-10-31 17:10:19,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=12.42, mean=-0.1816, std=2.556, absmax=12.42 +2025-10-31 17:10:20,083 ERROR: Encountered non-finite generator loss at iter 6541; skipping update. +2025-10-31 17:10:20,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:20,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:20,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=17.29, mean=-0.1636, std=2.957, absmax=17.29 +2025-10-31 17:10:20,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=13.9, mean=-0.1784, std=2.428, absmax=13.9 +2025-10-31 17:10:20,584 ERROR: Encountered non-finite generator loss at iter 6542; skipping update. +2025-10-31 17:10:20,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:20,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:20,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:20,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:20,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.67, mean=0.0823, std=3.337, absmax=14.67 +2025-10-31 17:10:20,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=13.92, mean=0.05629, std=3.019, absmax=13.92 +2025-10-31 17:10:21,085 ERROR: Encountered non-finite generator loss at iter 6543; skipping update. +2025-10-31 17:10:21,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,089 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:21,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:21,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.58, mean=-0.1745, std=3.018, absmax=13.1 +2025-10-31 17:10:21,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.926, mean=-0.1443, std=2.386, absmax=10.02 +2025-10-31 17:10:21,587 ERROR: Encountered non-finite generator loss at iter 6544; skipping update. +2025-10-31 17:10:21,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:21,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:21,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:21,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:21,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.3, mean=-0.07596, std=3.278, absmax=13.3 +2025-10-31 17:10:21,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.292, mean=-0.1114, std=2.665, absmax=10.13 +2025-10-31 17:10:22,086 ERROR: Encountered non-finite generator loss at iter 6545; skipping update. +2025-10-31 17:10:22,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:22,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:22,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.3, mean=-0.1566, std=3.448, absmax=12.3 +2025-10-31 17:10:22,096 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.659, mean=-0.1627, std=2.973, absmax=10.4 +2025-10-31 17:10:22,588 ERROR: Encountered non-finite generator loss at iter 6546; skipping update. +2025-10-31 17:10:22,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,592 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:22,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:22,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:22,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:22,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.79, mean=-0.3133, std=2.855, absmax=12.32 +2025-10-31 17:10:22,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=11.91, mean=-0.3086, std=2.574, absmax=11.91 +2025-10-31 17:10:23,090 ERROR: Encountered non-finite generator loss at iter 6547; skipping update. +2025-10-31 17:10:23,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:23,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:23,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.35, max=13.6, mean=-0.2162, std=3.547, absmax=15.35 +2025-10-31 17:10:23,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=11.62, mean=-0.2102, std=2.846, absmax=11.62 +2025-10-31 17:10:23,592 ERROR: Encountered non-finite generator loss at iter 6548; skipping update. +2025-10-31 17:10:23,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:23,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:23,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:23,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:23,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.1, mean=-0.05459, std=2.526, absmax=11.52 +2025-10-31 17:10:23,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.046, max=8.562, mean=-0.06945, std=2.087, absmax=8.562 +2025-10-31 17:10:24,094 ERROR: Encountered non-finite generator loss at iter 6549; skipping update. +2025-10-31 17:10:24,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:24,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:24,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.18, mean=-0.1978, std=3.488, absmax=13.93 +2025-10-31 17:10:24,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.45, mean=-0.1971, std=2.764, absmax=11.35 +2025-10-31 17:10:24,594 ERROR: Encountered non-finite generator loss at iter 6550; skipping update. +2025-10-31 17:10:24,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:24,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:24,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:24,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:24,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=18.89, mean=0.06059, std=3.556, absmax=18.89 +2025-10-31 17:10:24,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.833, max=12.28, mean=0.03858, std=2.938, absmax=12.28 +2025-10-31 17:10:25,095 ERROR: Encountered non-finite generator loss at iter 6551; skipping update. +2025-10-31 17:10:25,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:25,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:25,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.91, mean=-0.08154, std=2.876, absmax=13.04 +2025-10-31 17:10:25,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.665, max=8.461, mean=-0.1294, std=2.378, absmax=9.665 +2025-10-31 17:10:25,598 ERROR: Encountered non-finite generator loss at iter 6552; skipping update. +2025-10-31 17:10:25,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:25,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:25,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:25,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:25,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.1, mean=-0.1854, std=3.012, absmax=12.4 +2025-10-31 17:10:25,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=10.14, mean=-0.1783, std=2.466, absmax=11.22 +2025-10-31 17:10:26,099 ERROR: Encountered non-finite generator loss at iter 6553; skipping update. +2025-10-31 17:10:26,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:26,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:26,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15.18, mean=0.002229, std=3.721, absmax=15.18 +2025-10-31 17:10:26,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.27, mean=-0.01258, std=3.256, absmax=11.63 +2025-10-31 17:10:26,600 ERROR: Encountered non-finite generator loss at iter 6554; skipping update. +2025-10-31 17:10:26,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:26,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:26,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:26,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:26,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.89, mean=0.02782, std=3.206, absmax=12.89 +2025-10-31 17:10:26,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.44, mean=-0.0007492, std=2.707, absmax=10.44 +2025-10-31 17:10:27,102 ERROR: Encountered non-finite generator loss at iter 6555; skipping update. +2025-10-31 17:10:27,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:27,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:27,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.97, mean=-0.08394, std=3.301, absmax=16.97 +2025-10-31 17:10:27,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.11, mean=-0.1425, std=2.775, absmax=10.68 +2025-10-31 17:10:27,603 ERROR: Encountered non-finite generator loss at iter 6556; skipping update. +2025-10-31 17:10:27,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:27,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:27,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:27,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:27,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.23, mean=-0.2634, std=2.82, absmax=12.51 +2025-10-31 17:10:27,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=7.802, mean=-0.3219, std=2.559, absmax=11.05 +2025-10-31 17:10:28,105 ERROR: Encountered non-finite generator loss at iter 6557; skipping update. +2025-10-31 17:10:28,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:28,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:28,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.08, mean=-0.1648, std=3.244, absmax=13.08 +2025-10-31 17:10:28,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.04, mean=-0.1317, std=2.651, absmax=10.61 +2025-10-31 17:10:28,611 ERROR: Encountered non-finite generator loss at iter 6558; skipping update. +2025-10-31 17:10:28,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,613 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:28,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:28,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:28,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:28,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.76, mean=-0.1663, std=3.091, absmax=12.88 +2025-10-31 17:10:28,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.997, mean=-0.1501, std=2.505, absmax=11.18 +2025-10-31 17:10:29,111 ERROR: Encountered non-finite generator loss at iter 6559; skipping update. +2025-10-31 17:10:29,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:29,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:29,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=12.24, mean=-0.1256, std=2.748, absmax=12.24 +2025-10-31 17:10:29,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.504, max=9.433, mean=-0.1678, std=2.268, absmax=9.433 +2025-10-31 17:10:29,617 ERROR: Encountered non-finite generator loss at iter 6560; skipping update. +2025-10-31 17:10:29,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:29,622 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:29,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:29,624 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:29,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.42, mean=-0.1627, std=3.035, absmax=13.42 +2025-10-31 17:10:29,626 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.26, mean=-0.1703, std=2.694, absmax=10.54 +2025-10-31 17:10:30,123 ERROR: Encountered non-finite generator loss at iter 6561; skipping update. +2025-10-31 17:10:30,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,129 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:30,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:30,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.42, mean=-0.1096, std=3.132, absmax=12.38 +2025-10-31 17:10:30,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=8.444, mean=-0.136, std=2.547, absmax=10.45 +2025-10-31 17:10:30,630 ERROR: Encountered non-finite generator loss at iter 6562; skipping update. +2025-10-31 17:10:30,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:30,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:30,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:30,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:30,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.02, mean=-0.009264, std=3.042, absmax=14.02 +2025-10-31 17:10:30,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=12.52, mean=0.03724, std=2.702, absmax=12.52 +2025-10-31 17:10:31,134 ERROR: Encountered non-finite generator loss at iter 6563; skipping update. +2025-10-31 17:10:31,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:31,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:31,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.7, mean=-0.2019, std=3.128, absmax=13.41 +2025-10-31 17:10:31,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.97, mean=-0.1779, std=2.46, absmax=10.43 +2025-10-31 17:10:31,640 ERROR: Encountered non-finite generator loss at iter 6564; skipping update. +2025-10-31 17:10:31,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:31,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:31,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:31,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:31,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.61, mean=-0.3756, std=2.867, absmax=12.76 +2025-10-31 17:10:31,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=7.813, mean=-0.3192, std=2.335, absmax=10.75 +2025-10-31 17:10:32,147 ERROR: Encountered non-finite generator loss at iter 6565; skipping update. +2025-10-31 17:10:32,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:32,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:32,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=14.75, mean=-0.07481, std=3.136, absmax=15.4 +2025-10-31 17:10:32,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.505, max=12.04, mean=-0.07963, std=2.819, absmax=12.04 +2025-10-31 17:10:32,651 ERROR: Encountered non-finite generator loss at iter 6566; skipping update. +2025-10-31 17:10:32,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:32,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:32,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:32,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:32,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.74, mean=-0.2302, std=2.792, absmax=12 +2025-10-31 17:10:32,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.299, mean=-0.2337, std=2.312, absmax=10.1 +2025-10-31 17:10:33,153 ERROR: Encountered non-finite generator loss at iter 6567; skipping update. +2025-10-31 17:10:33,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:33,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:33,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.45, mean=0.1034, std=3.295, absmax=12.45 +2025-10-31 17:10:33,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.381, max=10.12, mean=0.05755, std=2.718, absmax=10.12 +2025-10-31 17:10:33,655 ERROR: Encountered non-finite generator loss at iter 6568; skipping update. +2025-10-31 17:10:33,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:33,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:33,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:33,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:33,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.85, mean=0.07014, std=3.438, absmax=14.85 +2025-10-31 17:10:33,664 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=12.36, mean=0.05244, std=2.974, absmax=12.36 +2025-10-31 17:10:34,156 ERROR: Encountered non-finite generator loss at iter 6569; skipping update. +2025-10-31 17:10:34,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:34,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:34,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.29, mean=-0.1465, std=3.109, absmax=13.97 +2025-10-31 17:10:34,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.961, max=9.653, mean=-0.1234, std=2.495, absmax=9.961 +2025-10-31 17:10:34,658 ERROR: Encountered non-finite generator loss at iter 6570; skipping update. +2025-10-31 17:10:34,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:34,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:34,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:34,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:34,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.49, mean=-0.212, std=2.513, absmax=13.76 +2025-10-31 17:10:34,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.846, mean=-0.2216, std=2.119, absmax=10.7 +2025-10-31 17:10:35,162 ERROR: Encountered non-finite generator loss at iter 6571; skipping update. +2025-10-31 17:10:35,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:35,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:35,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.57, mean=-0.1606, std=3.036, absmax=13.72 +2025-10-31 17:10:35,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=10.4, mean=-0.1561, std=2.51, absmax=10.77 +2025-10-31 17:10:35,662 ERROR: Encountered non-finite generator loss at iter 6572; skipping update. +2025-10-31 17:10:35,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:35,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:35,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:35,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:35,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.76, mean=-0.2603, std=2.821, absmax=12.76 +2025-10-31 17:10:35,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.046, max=9.047, mean=-0.258, std=2.222, absmax=9.047 +2025-10-31 17:10:36,164 ERROR: Encountered non-finite generator loss at iter 6573; skipping update. +2025-10-31 17:10:36,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:36,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:36,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.37, mean=-0.03579, std=3.04, absmax=13.37 +2025-10-31 17:10:36,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=10.53, mean=-0.08119, std=2.608, absmax=10.53 +2025-10-31 17:10:36,667 ERROR: Encountered non-finite generator loss at iter 6574; skipping update. +2025-10-31 17:10:36,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:36,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:36,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:36,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:36,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.64, mean=-0.1712, std=2.627, absmax=12.88 +2025-10-31 17:10:36,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=8.228, mean=-0.1919, std=2.071, absmax=10.41 +2025-10-31 17:10:37,167 ERROR: Encountered non-finite generator loss at iter 6575; skipping update. +2025-10-31 17:10:37,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:37,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:37,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.93, mean=0.1046, std=3.864, absmax=14.93 +2025-10-31 17:10:37,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=11.68, mean=-0.003373, std=3.303, absmax=12.47 +2025-10-31 17:10:37,670 ERROR: Encountered non-finite generator loss at iter 6576; skipping update. +2025-10-31 17:10:37,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,675 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,676 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:37,677 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:37,678 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:37,679 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:37,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=17.11, mean=0.08212, std=3.51, absmax=17.11 +2025-10-31 17:10:37,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=13.93, mean=0.05398, std=2.969, absmax=13.93 +2025-10-31 17:10:38,172 ERROR: Encountered non-finite generator loss at iter 6577; skipping update. +2025-10-31 17:10:38,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:38,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:38,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.31, mean=-0.1793, std=3.43, absmax=13.61 +2025-10-31 17:10:38,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.47, mean=-0.1909, std=2.959, absmax=10.99 +2025-10-31 17:10:38,674 ERROR: Encountered non-finite generator loss at iter 6578; skipping update. +2025-10-31 17:10:38,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:38,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:38,682 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:38,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:38,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=15.9, mean=-0.04126, std=3.538, absmax=15.9 +2025-10-31 17:10:38,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.16, mean=-0.08615, std=2.898, absmax=10.35 +2025-10-31 17:10:39,177 ERROR: Encountered non-finite generator loss at iter 6579; skipping update. +2025-10-31 17:10:39,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:39,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:39,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.71, mean=0.0794, std=3.025, absmax=12.74 +2025-10-31 17:10:39,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.371, max=9.678, mean=0.03821, std=2.449, absmax=9.678 +2025-10-31 17:10:39,678 ERROR: Encountered non-finite generator loss at iter 6580; skipping update. +2025-10-31 17:10:39,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,682 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:39,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:39,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:39,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:39,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.25, mean=-0.1946, std=3.475, absmax=13.25 +2025-10-31 17:10:39,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.494, max=12.35, mean=-0.1622, std=2.915, absmax=12.35 +2025-10-31 17:10:40,181 ERROR: Encountered non-finite generator loss at iter 6581; skipping update. +2025-10-31 17:10:40,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:40,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:40,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.12, mean=-0.235, std=2.7, absmax=12.35 +2025-10-31 17:10:40,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.605, max=8.318, mean=-0.2358, std=2.322, absmax=9.605 +2025-10-31 17:10:40,684 ERROR: Encountered non-finite generator loss at iter 6582; skipping update. +2025-10-31 17:10:40,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:40,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:40,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:40,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:40,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=12.91, mean=-0.1806, std=3.369, absmax=15.72 +2025-10-31 17:10:40,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.927, mean=-0.1497, std=2.758, absmax=10.65 +2025-10-31 17:10:41,188 ERROR: Encountered non-finite generator loss at iter 6583; skipping update. +2025-10-31 17:10:41,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:41,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:41,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.54, max=15.7, mean=-0.3014, std=3.043, absmax=18.54 +2025-10-31 17:10:41,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=11.68, mean=-0.2977, std=2.674, absmax=11.76 +2025-10-31 17:10:41,689 ERROR: Encountered non-finite generator loss at iter 6584; skipping update. +2025-10-31 17:10:41,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:41,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:41,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:41,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:41,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=9.439, mean=-0.2122, std=2.544, absmax=11.37 +2025-10-31 17:10:41,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.446, max=7.993, mean=-0.2033, std=2.253, absmax=9.446 +2025-10-31 17:10:42,191 ERROR: Encountered non-finite generator loss at iter 6585; skipping update. +2025-10-31 17:10:42,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:42,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:42,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.16, mean=-0.1213, std=2.665, absmax=12.76 +2025-10-31 17:10:42,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=7.888, mean=-0.1163, std=2.177, absmax=10.41 +2025-10-31 17:10:42,694 ERROR: Encountered non-finite generator loss at iter 6586; skipping update. +2025-10-31 17:10:42,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:42,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:42,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:42,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:42,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=14.86, mean=-0.2153, std=2.499, absmax=14.86 +2025-10-31 17:10:42,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.42, max=10.81, mean=-0.2229, std=2.152, absmax=10.81 +2025-10-31 17:10:43,197 ERROR: Encountered non-finite generator loss at iter 6587; skipping update. +2025-10-31 17:10:43,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:43,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:43,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.05, mean=-0.0736, std=2.842, absmax=14.05 +2025-10-31 17:10:43,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=11.02, mean=-0.08926, std=2.329, absmax=11.02 +2025-10-31 17:10:43,698 ERROR: Encountered non-finite generator loss at iter 6588; skipping update. +2025-10-31 17:10:43,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,700 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:43,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:43,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:43,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:43,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.38, mean=-0.2252, std=3.239, absmax=13.38 +2025-10-31 17:10:43,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=10.06, mean=-0.2394, std=2.579, absmax=11.84 +2025-10-31 17:10:44,202 ERROR: Encountered non-finite generator loss at iter 6589; skipping update. +2025-10-31 17:10:44,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:44,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:44,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.35, mean=0.008736, std=3.068, absmax=14.35 +2025-10-31 17:10:44,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.227, max=10.4, mean=-0.06103, std=2.4, absmax=10.4 +2025-10-31 17:10:44,704 ERROR: Encountered non-finite generator loss at iter 6590; skipping update. +2025-10-31 17:10:44,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:44,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:44,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:44,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:44,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.14, mean=0.07293, std=2.907, absmax=14.14 +2025-10-31 17:10:44,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.029, max=11.02, mean=0.02606, std=2.41, absmax=11.02 +2025-10-31 17:10:45,203 ERROR: Encountered non-finite generator loss at iter 6591; skipping update. +2025-10-31 17:10:45,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:45,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:45,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=12.73, mean=0.05796, std=3.19, absmax=14.16 +2025-10-31 17:10:45,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.997, mean=0.06571, std=2.684, absmax=10.12 +2025-10-31 17:10:45,704 ERROR: Encountered non-finite generator loss at iter 6592; skipping update. +2025-10-31 17:10:45,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:45,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:45,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:45,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:45,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.97, mean=-0.2155, std=2.861, absmax=12.38 +2025-10-31 17:10:45,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=8.642, mean=-0.172, std=2.523, absmax=11.53 +2025-10-31 17:10:46,204 ERROR: Encountered non-finite generator loss at iter 6593; skipping update. +2025-10-31 17:10:46,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:46,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:46,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.23, mean=-0.09726, std=2.641, absmax=12.23 +2025-10-31 17:10:46,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=12.33, mean=-0.1033, std=2.367, absmax=12.33 +2025-10-31 17:10:46,703 ERROR: Encountered non-finite generator loss at iter 6594; skipping update. +2025-10-31 17:10:46,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:46,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:46,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:46,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:46,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.42, mean=-0.216, std=3.347, absmax=13.81 +2025-10-31 17:10:46,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=10.14, mean=-0.1977, std=2.849, absmax=11.84 +2025-10-31 17:10:47,205 ERROR: Encountered non-finite generator loss at iter 6595; skipping update. +2025-10-31 17:10:47,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:47,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:47,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=15.27, mean=-0.004963, std=3.062, absmax=15.27 +2025-10-31 17:10:47,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.81, max=10.04, mean=-0.01982, std=2.515, absmax=10.04 +2025-10-31 17:10:47,706 ERROR: Encountered non-finite generator loss at iter 6596; skipping update. +2025-10-31 17:10:47,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:47,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:47,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:47,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:47,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=13.72, mean=-0.2052, std=3.629, absmax=15.14 +2025-10-31 17:10:47,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.35, max=11.72, mean=-0.224, std=3.036, absmax=12.35 +2025-10-31 17:10:48,207 ERROR: Encountered non-finite generator loss at iter 6597; skipping update. +2025-10-31 17:10:48,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,211 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:48,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:48,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14, mean=-0.2194, std=3.228, absmax=14 +2025-10-31 17:10:48,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=11.17, mean=-0.2124, std=2.806, absmax=11.17 +2025-10-31 17:10:48,709 ERROR: Encountered non-finite generator loss at iter 6598; skipping update. +2025-10-31 17:10:48,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:48,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:48,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:48,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:48,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.84, mean=0.008767, std=3.131, absmax=12.84 +2025-10-31 17:10:48,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=11.35, mean=-0.06306, std=2.669, absmax=11.35 +2025-10-31 17:10:49,210 ERROR: Encountered non-finite generator loss at iter 6599; skipping update. +2025-10-31 17:10:49,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:49,218 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:49,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.88, mean=-0.04242, std=2.934, absmax=12.88 +2025-10-31 17:10:49,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.602, max=10.6, mean=-0.03467, std=2.394, absmax=10.6 +2025-10-31 17:10:49,711 ERROR: Encountered non-finite generator loss at iter 6600; skipping update. +2025-10-31 17:10:49,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,714 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:49,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:49,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:49,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:49,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=14.64, mean=-0.03469, std=3.196, absmax=15 +2025-10-31 17:10:49,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.87, mean=-0.09991, std=2.631, absmax=10.87 +2025-10-31 17:10:49,723 INFO: [29..][epoch: 0, step: 6,600, lr:(1.500e-04,)] [eta: 1 day, 17:03:42, time (data): 0.502 (0.000)] +2025-10-31 17:10:50,213 ERROR: Encountered non-finite generator loss at iter 6601; skipping update. +2025-10-31 17:10:50,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:50,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:50,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.58, mean=0.113, std=3.339, absmax=14.58 +2025-10-31 17:10:50,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=11.05, mean=0.07453, std=2.827, absmax=11.05 +2025-10-31 17:10:50,713 ERROR: Encountered non-finite generator loss at iter 6602; skipping update. +2025-10-31 17:10:50,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:50,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:50,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:50,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:50,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=14.29, mean=0.0007701, std=3.501, absmax=15.72 +2025-10-31 17:10:50,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=12, mean=-0.02985, std=2.954, absmax=12 +2025-10-31 17:10:51,214 ERROR: Encountered non-finite generator loss at iter 6603; skipping update. +2025-10-31 17:10:51,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:51,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:51,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.97, mean=-0.09095, std=2.98, absmax=13.97 +2025-10-31 17:10:51,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.625, max=12.35, mean=-0.05996, std=2.541, absmax=12.35 +2025-10-31 17:10:51,714 ERROR: Encountered non-finite generator loss at iter 6604; skipping update. +2025-10-31 17:10:51,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:51,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:51,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:51,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:51,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=15.72, mean=-0.1708, std=3.382, absmax=15.72 +2025-10-31 17:10:51,723 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=11.31, mean=-0.1915, std=2.881, absmax=11.65 +2025-10-31 17:10:52,214 ERROR: Encountered non-finite generator loss at iter 6605; skipping update. +2025-10-31 17:10:52,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:52,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:52,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.05, mean=-0.01424, std=2.797, absmax=14.03 +2025-10-31 17:10:52,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.897, max=11.16, mean=-0.0537, std=2.291, absmax=11.16 +2025-10-31 17:10:52,715 ERROR: Encountered non-finite generator loss at iter 6606; skipping update. +2025-10-31 17:10:52,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,718 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:52,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:52,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:52,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:52,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=12.54, mean=-0.1115, std=2.934, absmax=14.68 +2025-10-31 17:10:52,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=10.53, mean=-0.1449, std=2.525, absmax=11.47 +2025-10-31 17:10:53,216 ERROR: Encountered non-finite generator loss at iter 6607; skipping update. +2025-10-31 17:10:53,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,220 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,223 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:53,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:53,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=11.97, mean=-0.1268, std=2.577, absmax=11.97 +2025-10-31 17:10:53,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.953, max=9.18, mean=-0.1277, std=2.213, absmax=9.18 +2025-10-31 17:10:53,717 ERROR: Encountered non-finite generator loss at iter 6608; skipping update. +2025-10-31 17:10:53,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:53,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:53,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:53,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:53,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=10.71, mean=-0.2722, std=2.576, absmax=12.72 +2025-10-31 17:10:53,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=8.625, mean=-0.263, std=2.235, absmax=9.761 +2025-10-31 17:10:54,221 ERROR: Encountered non-finite generator loss at iter 6609; skipping update. +2025-10-31 17:10:54,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:54,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:54,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=14.22, mean=-0.1239, std=2.751, absmax=15.08 +2025-10-31 17:10:54,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.27, mean=-0.09711, std=2.263, absmax=12.27 +2025-10-31 17:10:54,722 ERROR: Encountered non-finite generator loss at iter 6610; skipping update. +2025-10-31 17:10:54,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:54,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:54,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:54,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:54,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.63, mean=0.1688, std=3.237, absmax=13.63 +2025-10-31 17:10:54,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=11.48, mean=0.1145, std=2.611, absmax=11.48 +2025-10-31 17:10:55,224 ERROR: Encountered non-finite generator loss at iter 6611; skipping update. +2025-10-31 17:10:55,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:55,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:55,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.82, mean=-0.006937, std=2.934, absmax=12.82 +2025-10-31 17:10:55,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.17, mean=-0.00727, std=2.564, absmax=10.17 +2025-10-31 17:10:55,725 ERROR: Encountered non-finite generator loss at iter 6612; skipping update. +2025-10-31 17:10:55,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:55,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:55,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:55,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:55,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.29, mean=-0.2287, std=3.238, absmax=13.64 +2025-10-31 17:10:55,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.12, mean=-0.2172, std=2.552, absmax=10.42 +2025-10-31 17:10:56,227 ERROR: Encountered non-finite generator loss at iter 6613; skipping update. +2025-10-31 17:10:56,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:56,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:56,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.62, max=10.68, mean=-0.2082, std=2.75, absmax=15.62 +2025-10-31 17:10:56,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=8.228, mean=-0.2411, std=2.335, absmax=11.55 +2025-10-31 17:10:56,728 ERROR: Encountered non-finite generator loss at iter 6614; skipping update. +2025-10-31 17:10:56,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:56,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:56,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:56,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:56,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.77, mean=-0.3366, std=3.366, absmax=12.77 +2025-10-31 17:10:56,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=10.25, mean=-0.2948, std=2.717, absmax=10.92 +2025-10-31 17:10:57,230 ERROR: Encountered non-finite generator loss at iter 6615; skipping update. +2025-10-31 17:10:57,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,233 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:57,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:57,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=10.69, mean=-0.351, std=2.892, absmax=15.4 +2025-10-31 17:10:57,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=9.497, mean=-0.3298, std=2.473, absmax=11.15 +2025-10-31 17:10:57,733 ERROR: Encountered non-finite generator loss at iter 6616; skipping update. +2025-10-31 17:10:57,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,738 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:57,739 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:57,740 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:57,741 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:57,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=11.15, mean=-0.3056, std=2.588, absmax=11.15 +2025-10-31 17:10:57,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.158, max=8.256, mean=-0.339, std=2.292, absmax=9.158 +2025-10-31 17:10:58,236 ERROR: Encountered non-finite generator loss at iter 6617; skipping update. +2025-10-31 17:10:58,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:58,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:58,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14.57, mean=-0.1833, std=3.166, absmax=14.57 +2025-10-31 17:10:58,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.411, mean=-0.1766, std=2.521, absmax=11.38 +2025-10-31 17:10:58,741 ERROR: Encountered non-finite generator loss at iter 6618; skipping update. +2025-10-31 17:10:58,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:58,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:58,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:58,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:58,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.23, mean=-0.07757, std=2.724, absmax=15.23 +2025-10-31 17:10:58,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.885, max=11.44, mean=-0.1365, std=2.24, absmax=11.44 +2025-10-31 17:10:59,245 ERROR: Encountered non-finite generator loss at iter 6619; skipping update. +2025-10-31 17:10:59,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:59,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:59,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.47, mean=-0.1764, std=3.098, absmax=12.4 +2025-10-31 17:10:59,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.762, mean=-0.2015, std=2.56, absmax=10.81 +2025-10-31 17:10:59,749 ERROR: Encountered non-finite generator loss at iter 6620; skipping update. +2025-10-31 17:10:59,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:10:59,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:10:59,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:10:59,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:10:59,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.08, max=10.81, mean=-0.2132, std=2.273, absmax=10.81 +2025-10-31 17:10:59,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.067, max=8.378, mean=-0.2139, std=1.938, absmax=8.378 +2025-10-31 17:11:00,254 ERROR: Encountered non-finite generator loss at iter 6621; skipping update. +2025-10-31 17:11:00,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:00,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:00,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.04, mean=-0.02187, std=3.295, absmax=14.07 +2025-10-31 17:11:00,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=12.39, mean=-0.05587, std=2.615, absmax=13.26 +2025-10-31 17:11:00,756 ERROR: Encountered non-finite generator loss at iter 6622; skipping update. +2025-10-31 17:11:00,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:00,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:00,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:00,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:00,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=10.98, mean=-0.1413, std=2.241, absmax=11.27 +2025-10-31 17:11:00,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.773, max=7.464, mean=-0.203, std=2.008, absmax=8.773 +2025-10-31 17:11:01,260 ERROR: Encountered non-finite generator loss at iter 6623; skipping update. +2025-10-31 17:11:01,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:01,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:01,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.84, mean=-0.1172, std=2.709, absmax=13.84 +2025-10-31 17:11:01,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.906, max=10.49, mean=-0.1659, std=2.274, absmax=10.49 +2025-10-31 17:11:01,764 ERROR: Encountered non-finite generator loss at iter 6624; skipping update. +2025-10-31 17:11:01,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:01,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:01,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:01,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:01,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.09, mean=-0.1035, std=3.306, absmax=14.09 +2025-10-31 17:11:01,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.812, max=10.11, mean=-0.1184, std=2.651, absmax=10.11 +2025-10-31 17:11:02,268 ERROR: Encountered non-finite generator loss at iter 6625; skipping update. +2025-10-31 17:11:02,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:02,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:02,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.17, max=10.7, mean=-0.1833, std=2.313, absmax=10.7 +2025-10-31 17:11:02,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.423, max=9.679, mean=-0.1339, std=2.077, absmax=9.679 +2025-10-31 17:11:02,777 ERROR: Encountered non-finite generator loss at iter 6626; skipping update. +2025-10-31 17:11:02,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:02,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:02,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:02,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:02,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.64, mean=-0.09356, std=2.686, absmax=12.3 +2025-10-31 17:11:02,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.975, max=8.543, mean=-0.05757, std=2.323, absmax=8.975 +2025-10-31 17:11:03,283 ERROR: Encountered non-finite generator loss at iter 6627; skipping update. +2025-10-31 17:11:03,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:03,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:03,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.13, mean=-0.08054, std=2.952, absmax=13.13 +2025-10-31 17:11:03,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.238, max=11.87, mean=-0.05908, std=2.603, absmax=11.87 +2025-10-31 17:11:03,788 ERROR: Encountered non-finite generator loss at iter 6628; skipping update. +2025-10-31 17:11:03,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:03,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:03,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:03,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:03,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.8, mean=0.007937, std=3.734, absmax=13.8 +2025-10-31 17:11:03,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=11.63, mean=-0.04217, std=3.039, absmax=11.63 +2025-10-31 17:11:04,293 ERROR: Encountered non-finite generator loss at iter 6629; skipping update. +2025-10-31 17:11:04,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:04,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:04,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.25, mean=-0.3014, std=2.688, absmax=13.25 +2025-10-31 17:11:04,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.456, max=10.13, mean=-0.2644, std=2.206, absmax=10.13 +2025-10-31 17:11:04,799 ERROR: Encountered non-finite generator loss at iter 6630; skipping update. +2025-10-31 17:11:04,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:04,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:04,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:04,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:04,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.35, mean=-0.09573, std=3.429, absmax=12.59 +2025-10-31 17:11:04,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=9.749, mean=-0.1248, std=2.61, absmax=9.749 +2025-10-31 17:11:05,305 ERROR: Encountered non-finite generator loss at iter 6631; skipping update. +2025-10-31 17:11:05,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,308 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:05,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:05,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=18.37, mean=-0.09552, std=2.889, absmax=18.37 +2025-10-31 17:11:05,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.582, max=10.37, mean=-0.1014, std=2.295, absmax=10.37 +2025-10-31 17:11:05,811 ERROR: Encountered non-finite generator loss at iter 6632; skipping update. +2025-10-31 17:11:05,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,813 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:05,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:05,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:05,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:05,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=12.54, mean=-0.2247, std=2.669, absmax=12.54 +2025-10-31 17:11:05,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=9.238, mean=-0.2315, std=2.23, absmax=9.47 +2025-10-31 17:11:06,316 ERROR: Encountered non-finite generator loss at iter 6633; skipping update. +2025-10-31 17:11:06,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:06,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:06,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.52, mean=-0.1358, std=3.103, absmax=12.52 +2025-10-31 17:11:06,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.751, max=11.19, mean=-0.1169, std=2.621, absmax=11.19 +2025-10-31 17:11:06,822 ERROR: Encountered non-finite generator loss at iter 6634; skipping update. +2025-10-31 17:11:06,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:06,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:06,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:06,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:06,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.09, mean=-0.2033, std=3.011, absmax=14.09 +2025-10-31 17:11:06,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.31, mean=-0.2087, std=2.611, absmax=10.73 +2025-10-31 17:11:07,328 ERROR: Encountered non-finite generator loss at iter 6635; skipping update. +2025-10-31 17:11:07,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:07,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:07,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.72, mean=-0.08547, std=2.569, absmax=12.72 +2025-10-31 17:11:07,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.668, max=9.031, mean=-0.08992, std=2.208, absmax=9.668 +2025-10-31 17:11:07,833 ERROR: Encountered non-finite generator loss at iter 6636; skipping update. +2025-10-31 17:11:07,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:07,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:07,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:07,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:07,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.34, mean=-0.2482, std=2.78, absmax=13.65 +2025-10-31 17:11:07,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.175, max=11.23, mean=-0.2095, std=2.497, absmax=11.23 +2025-10-31 17:11:08,338 ERROR: Encountered non-finite generator loss at iter 6637; skipping update. +2025-10-31 17:11:08,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:08,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:08,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.62, mean=-0.1654, std=2.56, absmax=12.62 +2025-10-31 17:11:08,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.607, max=8.632, mean=-0.1875, std=2.046, absmax=9.607 +2025-10-31 17:11:08,843 ERROR: Encountered non-finite generator loss at iter 6638; skipping update. +2025-10-31 17:11:08,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:08,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:08,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:08,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:08,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.78, mean=-0.09534, std=2.809, absmax=12.54 +2025-10-31 17:11:08,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=8.68, mean=-0.09571, std=2.212, absmax=11.42 +2025-10-31 17:11:09,348 ERROR: Encountered non-finite generator loss at iter 6639; skipping update. +2025-10-31 17:11:09,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:09,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:09,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=15.26, mean=-0.08948, std=3.123, absmax=15.26 +2025-10-31 17:11:09,358 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.8, max=9.987, mean=-0.1419, std=2.409, absmax=9.987 +2025-10-31 17:11:09,853 ERROR: Encountered non-finite generator loss at iter 6640; skipping update. +2025-10-31 17:11:09,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:09,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:09,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:09,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:09,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.3, mean=-0.3011, std=3.116, absmax=14.8 +2025-10-31 17:11:09,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=8.873, mean=-0.3056, std=2.588, absmax=11.72 +2025-10-31 17:11:10,358 ERROR: Encountered non-finite generator loss at iter 6641; skipping update. +2025-10-31 17:11:10,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,361 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:10,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:10,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.46, max=14.08, mean=-0.08841, std=3.221, absmax=15.46 +2025-10-31 17:11:10,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.18, max=9.491, mean=-0.1015, std=2.77, absmax=13.18 +2025-10-31 17:11:10,863 ERROR: Encountered non-finite generator loss at iter 6642; skipping update. +2025-10-31 17:11:10,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:10,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:10,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:10,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:10,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=16.05, mean=-0.3431, std=2.999, absmax=16.05 +2025-10-31 17:11:10,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.54, mean=-0.315, std=2.488, absmax=10.98 +2025-10-31 17:11:11,368 ERROR: Encountered non-finite generator loss at iter 6643; skipping update. +2025-10-31 17:11:11,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,371 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:11,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:11,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.09, mean=-0.05802, std=3.121, absmax=15.09 +2025-10-31 17:11:11,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.7, mean=-0.08592, std=2.456, absmax=11.7 +2025-10-31 17:11:11,874 ERROR: Encountered non-finite generator loss at iter 6644; skipping update. +2025-10-31 17:11:11,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:11,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:11,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:11,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:11,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=11.92, mean=-0.124, std=3.527, absmax=13.42 +2025-10-31 17:11:11,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=9.811, mean=-0.1468, std=3.058, absmax=11.6 +2025-10-31 17:11:12,376 ERROR: Encountered non-finite generator loss at iter 6645; skipping update. +2025-10-31 17:11:12,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:12,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:12,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.4, mean=-0.2176, std=2.83, absmax=13.4 +2025-10-31 17:11:12,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=7.634, mean=-0.2166, std=2.345, absmax=10 +2025-10-31 17:11:12,882 ERROR: Encountered non-finite generator loss at iter 6646; skipping update. +2025-10-31 17:11:12,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:12,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:12,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:12,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:12,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.39, mean=-0.3081, std=2.877, absmax=14.39 +2025-10-31 17:11:12,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.456, mean=-0.2835, std=2.433, absmax=10.02 +2025-10-31 17:11:13,385 ERROR: Encountered non-finite generator loss at iter 6647; skipping update. +2025-10-31 17:11:13,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:13,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:13,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.37, mean=-0.0782, std=3.115, absmax=13.37 +2025-10-31 17:11:13,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=11.35, mean=-0.09291, std=2.705, absmax=11.78 +2025-10-31 17:11:13,889 ERROR: Encountered non-finite generator loss at iter 6648; skipping update. +2025-10-31 17:11:13,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:13,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:13,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:13,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:13,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=12.87, mean=-0.1753, std=3.283, absmax=14.1 +2025-10-31 17:11:13,899 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.98, max=10.34, mean=-0.2057, std=2.85, absmax=12.98 +2025-10-31 17:11:14,393 ERROR: Encountered non-finite generator loss at iter 6649; skipping update. +2025-10-31 17:11:14,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,400 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:14,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:14,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=12.9, mean=-0.2758, std=2.862, absmax=15.01 +2025-10-31 17:11:14,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.34, max=8.524, mean=-0.2567, std=2.33, absmax=12.34 +2025-10-31 17:11:14,898 ERROR: Encountered non-finite generator loss at iter 6650; skipping update. +2025-10-31 17:11:14,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:14,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:14,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:14,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:14,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=12.79, mean=-0.04713, std=3.221, absmax=14.7 +2025-10-31 17:11:14,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.701, max=10.15, mean=-0.005224, std=2.714, absmax=10.15 +2025-10-31 17:11:15,402 ERROR: Encountered non-finite generator loss at iter 6651; skipping update. +2025-10-31 17:11:15,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,409 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,410 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:15,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:15,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.49, mean=-0.2913, std=2.652, absmax=14.03 +2025-10-31 17:11:15,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.083, mean=-0.2867, std=2.185, absmax=10.59 +2025-10-31 17:11:15,908 ERROR: Encountered non-finite generator loss at iter 6652; skipping update. +2025-10-31 17:11:15,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:15,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:15,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:15,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:15,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=10.15, mean=-0.2237, std=2.799, absmax=13.32 +2025-10-31 17:11:15,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.029, mean=-0.1786, std=2.359, absmax=10.33 +2025-10-31 17:11:16,411 ERROR: Encountered non-finite generator loss at iter 6653; skipping update. +2025-10-31 17:11:16,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:16,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:16,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=12.08, mean=-0.0942, std=2.524, absmax=12.08 +2025-10-31 17:11:16,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.802, max=9.773, mean=-0.07224, std=2.231, absmax=9.802 +2025-10-31 17:11:16,916 ERROR: Encountered non-finite generator loss at iter 6654; skipping update. +2025-10-31 17:11:16,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,919 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:16,922 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:16,923 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:16,924 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:16,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.59, mean=-0.2335, std=2.83, absmax=13.66 +2025-10-31 17:11:16,926 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=8.382, mean=-0.2304, std=2.313, absmax=10.76 +2025-10-31 17:11:17,421 ERROR: Encountered non-finite generator loss at iter 6655; skipping update. +2025-10-31 17:11:17,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:17,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:17,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.78, mean=-0.152, std=2.4, absmax=12.78 +2025-10-31 17:11:17,431 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.412, max=7.861, mean=-0.2167, std=1.988, absmax=9.412 +2025-10-31 17:11:17,927 ERROR: Encountered non-finite generator loss at iter 6656; skipping update. +2025-10-31 17:11:17,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:17,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:17,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:17,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:17,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.21, mean=-0.247, std=2.851, absmax=15.21 +2025-10-31 17:11:17,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=11.34, mean=-0.2416, std=2.249, absmax=11.34 +2025-10-31 17:11:18,430 ERROR: Encountered non-finite generator loss at iter 6657; skipping update. +2025-10-31 17:11:18,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:18,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:18,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.25, max=12.6, mean=-0.1982, std=2.45, absmax=12.6 +2025-10-31 17:11:18,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.237, max=9.974, mean=-0.2322, std=2.159, absmax=9.974 +2025-10-31 17:11:18,931 ERROR: Encountered non-finite generator loss at iter 6658; skipping update. +2025-10-31 17:11:18,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:18,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:18,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:18,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:18,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=14.99, mean=-0.201, std=3.078, absmax=14.99 +2025-10-31 17:11:18,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=11.16, mean=-0.1896, std=2.744, absmax=11.16 +2025-10-31 17:11:19,435 ERROR: Encountered non-finite generator loss at iter 6659; skipping update. +2025-10-31 17:11:19,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:19,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:19,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.85, mean=-0.1993, std=2.962, absmax=12.9 +2025-10-31 17:11:19,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=7.863, mean=-0.2046, std=2.574, absmax=10.61 +2025-10-31 17:11:19,941 ERROR: Encountered non-finite generator loss at iter 6660; skipping update. +2025-10-31 17:11:19,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,946 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:19,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:19,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:19,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:19,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.38, mean=-0.1545, std=2.557, absmax=12.38 +2025-10-31 17:11:19,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.637, max=9.958, mean=-0.1287, std=2.178, absmax=9.958 +2025-10-31 17:11:20,446 ERROR: Encountered non-finite generator loss at iter 6661; skipping update. +2025-10-31 17:11:20,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:20,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:20,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=11.95, mean=-0.2988, std=2.854, absmax=14.79 +2025-10-31 17:11:20,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.057, max=8.665, mean=-0.2499, std=2.517, absmax=9.057 +2025-10-31 17:11:20,950 ERROR: Encountered non-finite generator loss at iter 6662; skipping update. +2025-10-31 17:11:20,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,953 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:20,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:20,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:20,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:20,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.79, mean=-0.1923, std=2.856, absmax=12.9 +2025-10-31 17:11:20,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.24, mean=-0.223, std=2.469, absmax=10.65 +2025-10-31 17:11:21,452 ERROR: Encountered non-finite generator loss at iter 6663; skipping update. +2025-10-31 17:11:21,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:21,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:21,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=14.37, mean=-0.3619, std=3.208, absmax=14.37 +2025-10-31 17:11:21,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.774, mean=-0.3368, std=2.676, absmax=11.86 +2025-10-31 17:11:21,953 ERROR: Encountered non-finite generator loss at iter 6664; skipping update. +2025-10-31 17:11:21,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:21,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:21,960 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:21,961 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:21,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=11.19, mean=-0.1324, std=3.029, absmax=11.19 +2025-10-31 17:11:21,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.089, max=8.325, mean=-0.1488, std=2.393, absmax=9.089 +2025-10-31 17:11:22,455 ERROR: Encountered non-finite generator loss at iter 6665; skipping update. +2025-10-31 17:11:22,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:22,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:22,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.86, mean=0.1799, std=3.216, absmax=14.86 +2025-10-31 17:11:22,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=11.63, mean=0.1292, std=2.823, absmax=11.63 +2025-10-31 17:11:22,956 ERROR: Encountered non-finite generator loss at iter 6666; skipping update. +2025-10-31 17:11:22,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:22,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:22,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:22,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:22,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.19, mean=-0.06555, std=2.71, absmax=14.19 +2025-10-31 17:11:22,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.466, max=10.76, mean=-0.06656, std=2.263, absmax=10.76 +2025-10-31 17:11:23,459 ERROR: Encountered non-finite generator loss at iter 6667; skipping update. +2025-10-31 17:11:23,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,462 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:23,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:23,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.57, mean=-0.08311, std=2.797, absmax=14.57 +2025-10-31 17:11:23,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.091, mean=-0.145, std=2.315, absmax=10.45 +2025-10-31 17:11:23,959 ERROR: Encountered non-finite generator loss at iter 6668; skipping update. +2025-10-31 17:11:23,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:23,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:23,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:23,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:23,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.17, mean=-0.1229, std=2.921, absmax=13.17 +2025-10-31 17:11:23,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.118, max=9.074, mean=-0.1154, std=2.409, absmax=9.118 +2025-10-31 17:11:24,460 ERROR: Encountered non-finite generator loss at iter 6669; skipping update. +2025-10-31 17:11:24,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:24,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:24,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=18.06, mean=0.2248, std=4.356, absmax=18.06 +2025-10-31 17:11:24,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=14.62, mean=0.2019, std=3.815, absmax=14.62 +2025-10-31 17:11:24,962 ERROR: Encountered non-finite generator loss at iter 6670; skipping update. +2025-10-31 17:11:24,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:24,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:24,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:24,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:24,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.24, mean=-0.02507, std=2.852, absmax=13.94 +2025-10-31 17:11:24,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=9.827, mean=-0.07857, std=2.402, absmax=11.81 +2025-10-31 17:11:25,465 ERROR: Encountered non-finite generator loss at iter 6671; skipping update. +2025-10-31 17:11:25,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:25,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:25,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.93, mean=-0.2677, std=2.881, absmax=13.54 +2025-10-31 17:11:25,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.89, max=8.081, mean=-0.2534, std=2.372, absmax=9.89 +2025-10-31 17:11:25,967 ERROR: Encountered non-finite generator loss at iter 6672; skipping update. +2025-10-31 17:11:25,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:25,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:25,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:25,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:25,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.43, mean=-0.2269, std=3.066, absmax=13.81 +2025-10-31 17:11:25,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=10.55, mean=-0.2074, std=2.601, absmax=11.33 +2025-10-31 17:11:26,468 ERROR: Encountered non-finite generator loss at iter 6673; skipping update. +2025-10-31 17:11:26,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:26,476 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:26,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.48, mean=-0.2671, std=3.05, absmax=13.48 +2025-10-31 17:11:26,478 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=10.9, mean=-0.2629, std=2.618, absmax=10.9 +2025-10-31 17:11:26,971 ERROR: Encountered non-finite generator loss at iter 6674; skipping update. +2025-10-31 17:11:26,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:26,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:26,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:26,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:26,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=10.34, mean=-0.2159, std=2.809, absmax=13.36 +2025-10-31 17:11:26,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.176, mean=-0.2576, std=2.366, absmax=10.02 +2025-10-31 17:11:27,475 ERROR: Encountered non-finite generator loss at iter 6675; skipping update. +2025-10-31 17:11:27,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:27,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:27,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.91, mean=-0.0935, std=2.716, absmax=11.91 +2025-10-31 17:11:27,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.23, max=9.188, mean=-0.1022, std=2.252, absmax=9.23 +2025-10-31 17:11:27,979 ERROR: Encountered non-finite generator loss at iter 6676; skipping update. +2025-10-31 17:11:27,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:27,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:27,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:27,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:27,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.89, mean=-0.2846, std=2.849, absmax=12.89 +2025-10-31 17:11:27,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.57, mean=-0.2828, std=2.302, absmax=10.02 +2025-10-31 17:11:28,482 ERROR: Encountered non-finite generator loss at iter 6677; skipping update. +2025-10-31 17:11:28,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:28,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:28,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.19, mean=-0.2179, std=2.925, absmax=13.74 +2025-10-31 17:11:28,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.535, mean=-0.209, std=2.505, absmax=10.44 +2025-10-31 17:11:28,986 ERROR: Encountered non-finite generator loss at iter 6678; skipping update. +2025-10-31 17:11:28,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:28,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:28,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:28,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:28,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.03, mean=-0.255, std=3.216, absmax=14.77 +2025-10-31 17:11:28,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.4, max=9.432, mean=-0.2391, std=2.606, absmax=13.4 +2025-10-31 17:11:29,490 ERROR: Encountered non-finite generator loss at iter 6679; skipping update. +2025-10-31 17:11:29,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:29,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:29,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:29,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:29,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:29,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:29,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:29,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:29,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.57, mean=-0.1831, std=3.21, absmax=14.57 +2025-10-31 17:11:29,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.4, mean=-0.2051, std=2.581, absmax=11.13 +2025-10-31 17:11:29,995 ERROR: Encountered non-finite generator loss at iter 6680; skipping update. +2025-10-31 17:11:29,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:29,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:29,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:29,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:30,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:30,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:30,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:30,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:30,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.78, mean=-0.2989, std=2.867, absmax=15.78 +2025-10-31 17:11:30,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.671, max=10.55, mean=-0.2709, std=2.401, absmax=10.55 +2025-10-31 17:11:30,497 ERROR: Encountered non-finite generator loss at iter 6681; skipping update. +2025-10-31 17:11:30,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:30,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:30,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:30,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:30,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:30,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:30,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:30,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:30,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.11, max=12.32, mean=-0.1788, std=3.684, absmax=16.11 +2025-10-31 17:11:30,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.49, max=9.566, mean=-0.1267, std=3.323, absmax=12.49 +2025-10-31 17:11:31,002 ERROR: Encountered non-finite generator loss at iter 6682; skipping update. +2025-10-31 17:11:31,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:31,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:31,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.86, mean=-0.2228, std=3.028, absmax=12.43 +2025-10-31 17:11:31,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=10.28, mean=-0.2325, std=2.507, absmax=10.69 +2025-10-31 17:11:31,505 ERROR: Encountered non-finite generator loss at iter 6683; skipping update. +2025-10-31 17:11:31,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:31,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:31,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:31,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:31,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.08, mean=-0.2648, std=2.706, absmax=13.08 +2025-10-31 17:11:31,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=9.996, mean=-0.2359, std=2.254, absmax=10.55 +2025-10-31 17:11:32,007 ERROR: Encountered non-finite generator loss at iter 6684; skipping update. +2025-10-31 17:11:32,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:32,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:32,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=14.93, mean=-0.2096, std=2.716, absmax=14.93 +2025-10-31 17:11:32,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.657, mean=-0.1794, std=2.144, absmax=10.18 +2025-10-31 17:11:32,510 ERROR: Encountered non-finite generator loss at iter 6685; skipping update. +2025-10-31 17:11:32,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:32,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:32,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:32,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:32,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=15.01, mean=0.09796, std=3.193, absmax=15.01 +2025-10-31 17:11:32,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=11.6, mean=0.1175, std=2.692, absmax=11.6 +2025-10-31 17:11:33,013 ERROR: Encountered non-finite generator loss at iter 6686; skipping update. +2025-10-31 17:11:33,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,016 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:33,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:33,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.91, mean=-0.2494, std=2.884, absmax=11.91 +2025-10-31 17:11:33,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.44, mean=-0.2101, std=2.565, absmax=10.57 +2025-10-31 17:11:33,516 ERROR: Encountered non-finite generator loss at iter 6687; skipping update. +2025-10-31 17:11:33,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:33,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:33,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:33,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:33,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.61, mean=-0.256, std=2.949, absmax=14.61 +2025-10-31 17:11:33,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.35, mean=-0.2109, std=2.448, absmax=10.68 +2025-10-31 17:11:34,018 ERROR: Encountered non-finite generator loss at iter 6688; skipping update. +2025-10-31 17:11:34,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:34,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:34,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.15, mean=0.04037, std=3.943, absmax=14.15 +2025-10-31 17:11:34,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.972, max=12.5, mean=0.04502, std=3.317, absmax=12.5 +2025-10-31 17:11:34,518 ERROR: Encountered non-finite generator loss at iter 6689; skipping update. +2025-10-31 17:11:34,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:34,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:34,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:34,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:34,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.35, mean=0.1808, std=3.37, absmax=13.35 +2025-10-31 17:11:34,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.01, mean=0.08914, std=2.786, absmax=11.01 +2025-10-31 17:11:35,018 ERROR: Encountered non-finite generator loss at iter 6690; skipping update. +2025-10-31 17:11:35,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:35,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:35,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.37, max=11.16, mean=-0.1265, std=2.668, absmax=11.16 +2025-10-31 17:11:35,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=8.253, mean=-0.1777, std=2.218, absmax=9.286 +2025-10-31 17:11:35,521 ERROR: Encountered non-finite generator loss at iter 6691; skipping update. +2025-10-31 17:11:35,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:35,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:35,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:35,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:35,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.61, mean=-0.08557, std=2.86, absmax=13.61 +2025-10-31 17:11:35,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.659, max=10.33, mean=-0.07923, std=2.432, absmax=10.33 +2025-10-31 17:11:36,024 ERROR: Encountered non-finite generator loss at iter 6692; skipping update. +2025-10-31 17:11:36,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:36,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:36,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=10.91, mean=-0.1734, std=2.825, absmax=12.19 +2025-10-31 17:11:36,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.973, max=8.712, mean=-0.1777, std=2.475, absmax=9.973 +2025-10-31 17:11:36,527 ERROR: Encountered non-finite generator loss at iter 6693; skipping update. +2025-10-31 17:11:36,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:36,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:36,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:36,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:36,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.99, mean=0.02109, std=3.453, absmax=13.15 +2025-10-31 17:11:36,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.271, mean=-0.04282, std=2.658, absmax=10.15 +2025-10-31 17:11:37,029 ERROR: Encountered non-finite generator loss at iter 6694; skipping update. +2025-10-31 17:11:37,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,031 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:37,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:37,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.08, mean=-0.08106, std=3.019, absmax=14.08 +2025-10-31 17:11:37,038 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.91, mean=-0.1564, std=2.532, absmax=10.98 +2025-10-31 17:11:37,530 ERROR: Encountered non-finite generator loss at iter 6695; skipping update. +2025-10-31 17:11:37,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:37,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:37,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:37,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:37,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.53, mean=-0.01514, std=3.515, absmax=13.53 +2025-10-31 17:11:37,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=10.91, mean=0.0006756, std=2.792, absmax=10.91 +2025-10-31 17:11:38,031 ERROR: Encountered non-finite generator loss at iter 6696; skipping update. +2025-10-31 17:11:38,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,034 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:38,039 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:38,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.71, mean=-0.1519, std=3.112, absmax=13.71 +2025-10-31 17:11:38,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.918, max=9.153, mean=-0.1278, std=2.533, absmax=9.153 +2025-10-31 17:11:38,533 ERROR: Encountered non-finite generator loss at iter 6697; skipping update. +2025-10-31 17:11:38,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,537 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:38,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:38,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:38,541 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:38,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.36, mean=0.06259, std=3.318, absmax=14.36 +2025-10-31 17:11:38,542 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.741, max=11.17, mean=-0.009346, std=2.692, absmax=11.17 +2025-10-31 17:11:39,034 ERROR: Encountered non-finite generator loss at iter 6698; skipping update. +2025-10-31 17:11:39,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:39,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:39,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.17, mean=-0.139, std=3.258, absmax=14.17 +2025-10-31 17:11:39,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.28, mean=-0.1126, std=2.752, absmax=11.28 +2025-10-31 17:11:39,534 ERROR: Encountered non-finite generator loss at iter 6699; skipping update. +2025-10-31 17:11:39,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:39,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:39,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:39,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:39,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=15.42, mean=0.08161, std=3.111, absmax=15.42 +2025-10-31 17:11:39,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=12.34, mean=0.07727, std=2.618, absmax=12.34 +2025-10-31 17:11:40,034 ERROR: Encountered non-finite generator loss at iter 6700; skipping update. +2025-10-31 17:11:40,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:40,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:40,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.68, mean=-0.1284, std=3.396, absmax=14.68 +2025-10-31 17:11:40,044 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=10.4, mean=-0.1123, std=2.921, absmax=12.11 +2025-10-31 17:11:40,045 INFO: [29..][epoch: 0, step: 6,700, lr:(1.500e-04,)] [eta: 1 day, 16:56:23, time (data): 0.503 (0.000)] +2025-10-31 17:11:40,536 ERROR: Encountered non-finite generator loss at iter 6701; skipping update. +2025-10-31 17:11:40,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,540 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:40,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:40,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:40,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:40,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.51, mean=-0.2713, std=2.999, absmax=13.51 +2025-10-31 17:11:40,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=9.843, mean=-0.2826, std=2.573, absmax=10.53 +2025-10-31 17:11:41,037 ERROR: Encountered non-finite generator loss at iter 6702; skipping update. +2025-10-31 17:11:41,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:41,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:41,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.17, mean=-0.03684, std=3.305, absmax=13.83 +2025-10-31 17:11:41,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=10.81, mean=-0.01836, std=2.752, absmax=11.24 +2025-10-31 17:11:41,539 ERROR: Encountered non-finite generator loss at iter 6703; skipping update. +2025-10-31 17:11:41,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:41,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:41,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:41,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:41,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.47, mean=-0.1853, std=2.637, absmax=13.47 +2025-10-31 17:11:41,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.502, max=9.5, mean=-0.2046, std=2.213, absmax=9.5 +2025-10-31 17:11:42,041 ERROR: Encountered non-finite generator loss at iter 6704; skipping update. +2025-10-31 17:11:42,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:42,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:42,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.42, mean=-0.1432, std=3.246, absmax=13.42 +2025-10-31 17:11:42,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=10.43, mean=-0.1366, std=2.693, absmax=10.78 +2025-10-31 17:11:42,543 ERROR: Encountered non-finite generator loss at iter 6705; skipping update. +2025-10-31 17:11:42,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:42,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:42,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:42,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:42,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=19.17, mean=0.02034, std=3.425, absmax=19.17 +2025-10-31 17:11:42,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=12.44, mean=0.002572, std=2.856, absmax=12.44 +2025-10-31 17:11:43,044 ERROR: Encountered non-finite generator loss at iter 6706; skipping update. +2025-10-31 17:11:43,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:43,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:43,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=13.21, mean=-0.2207, std=2.975, absmax=15.51 +2025-10-31 17:11:43,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=10.84, mean=-0.2249, std=2.565, absmax=11.2 +2025-10-31 17:11:43,544 ERROR: Encountered non-finite generator loss at iter 6707; skipping update. +2025-10-31 17:11:43,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:43,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:43,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:43,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:43,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.78, mean=-0.1299, std=2.61, absmax=12.78 +2025-10-31 17:11:43,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.13, mean=-0.1014, std=2.345, absmax=10.64 +2025-10-31 17:11:44,046 ERROR: Encountered non-finite generator loss at iter 6708; skipping update. +2025-10-31 17:11:44,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:44,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:44,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.07, mean=-0.2603, std=2.487, absmax=12.26 +2025-10-31 17:11:44,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.525, max=9.909, mean=-0.235, std=2.17, absmax=9.909 +2025-10-31 17:11:44,545 ERROR: Encountered non-finite generator loss at iter 6709; skipping update. +2025-10-31 17:11:44,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:44,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:44,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:44,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:44,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=11.11, mean=-0.06549, std=2.408, absmax=11.11 +2025-10-31 17:11:44,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.949, max=9.419, mean=-0.0778, std=2.12, absmax=9.419 +2025-10-31 17:11:45,046 ERROR: Encountered non-finite generator loss at iter 6710; skipping update. +2025-10-31 17:11:45,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:45,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:45,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.32, mean=-0.2709, std=2.918, absmax=12.32 +2025-10-31 17:11:45,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.988, max=9.786, mean=-0.2543, std=2.385, absmax=9.786 +2025-10-31 17:11:45,546 ERROR: Encountered non-finite generator loss at iter 6711; skipping update. +2025-10-31 17:11:45,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:45,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:45,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:45,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:45,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.55, mean=-0.04634, std=3.078, absmax=13.55 +2025-10-31 17:11:45,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.021, mean=-0.08898, std=2.503, absmax=10.15 +2025-10-31 17:11:46,047 ERROR: Encountered non-finite generator loss at iter 6712; skipping update. +2025-10-31 17:11:46,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:46,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:46,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.02, mean=-0.04025, std=2.458, absmax=12.02 +2025-10-31 17:11:46,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.945, max=8.992, mean=-0.095, std=2.097, absmax=8.992 +2025-10-31 17:11:46,548 ERROR: Encountered non-finite generator loss at iter 6713; skipping update. +2025-10-31 17:11:46,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,551 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:46,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:46,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:46,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:46,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.28, mean=-0.1834, std=3.115, absmax=14.12 +2025-10-31 17:11:46,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.669, max=9.562, mean=-0.1798, std=2.437, absmax=9.669 +2025-10-31 17:11:47,050 ERROR: Encountered non-finite generator loss at iter 6714; skipping update. +2025-10-31 17:11:47,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:47,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:47,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.43, mean=-0.1332, std=3.096, absmax=15.43 +2025-10-31 17:11:47,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.518, max=11.87, mean=-0.1133, std=2.52, absmax=11.87 +2025-10-31 17:11:47,552 ERROR: Encountered non-finite generator loss at iter 6715; skipping update. +2025-10-31 17:11:47,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:47,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:47,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:47,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:47,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.57, mean=-0.2388, std=2.826, absmax=11.91 +2025-10-31 17:11:47,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.532, max=9.124, mean=-0.2335, std=2.313, absmax=9.532 +2025-10-31 17:11:48,053 ERROR: Encountered non-finite generator loss at iter 6716; skipping update. +2025-10-31 17:11:48,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:48,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:48,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=13.19, mean=-0.1699, std=2.472, absmax=13.19 +2025-10-31 17:11:48,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.656, max=8.184, mean=-0.1774, std=2.036, absmax=9.656 +2025-10-31 17:11:48,552 ERROR: Encountered non-finite generator loss at iter 6717; skipping update. +2025-10-31 17:11:48,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:48,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:48,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:48,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:48,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=10.05, mean=-0.2091, std=2.351, absmax=11.31 +2025-10-31 17:11:48,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.896, max=7.571, mean=-0.2334, std=2.062, absmax=8.896 +2025-10-31 17:11:49,053 ERROR: Encountered non-finite generator loss at iter 6718; skipping update. +2025-10-31 17:11:49,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:49,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:49,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=15.83, mean=-0.05188, std=3.017, absmax=15.83 +2025-10-31 17:11:49,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.32, mean=-0.06714, std=2.476, absmax=11.32 +2025-10-31 17:11:49,551 ERROR: Encountered non-finite generator loss at iter 6719; skipping update. +2025-10-31 17:11:49,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:49,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:49,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:49,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:49,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.42, mean=-0.1743, std=2.974, absmax=14.42 +2025-10-31 17:11:49,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=10.11, mean=-0.1481, std=2.38, absmax=11.22 +2025-10-31 17:11:50,053 ERROR: Encountered non-finite generator loss at iter 6720; skipping update. +2025-10-31 17:11:50,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,059 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:50,060 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:50,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.83, mean=-0.295, std=2.911, absmax=13.57 +2025-10-31 17:11:50,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.851, mean=-0.2743, std=2.493, absmax=11.86 +2025-10-31 17:11:50,553 ERROR: Encountered non-finite generator loss at iter 6721; skipping update. +2025-10-31 17:11:50,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:50,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:50,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:50,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:50,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.44, max=13.46, mean=0.04723, std=3.223, absmax=17.44 +2025-10-31 17:11:50,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.5, mean=0.001346, std=2.647, absmax=10.5 +2025-10-31 17:11:51,054 ERROR: Encountered non-finite generator loss at iter 6722; skipping update. +2025-10-31 17:11:51,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:51,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:51,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.34, mean=-0.2375, std=2.932, absmax=13.05 +2025-10-31 17:11:51,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.315, max=9.481, mean=-0.2614, std=2.443, absmax=9.481 +2025-10-31 17:11:51,554 ERROR: Encountered non-finite generator loss at iter 6723; skipping update. +2025-10-31 17:11:51,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:51,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:51,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:51,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:51,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=14.12, mean=0.1058, std=3.092, absmax=14.12 +2025-10-31 17:11:51,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=12.87, mean=0.1841, std=2.873, absmax=12.87 +2025-10-31 17:11:52,056 ERROR: Encountered non-finite generator loss at iter 6724; skipping update. +2025-10-31 17:11:52,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:52,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:52,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.23, mean=-0.02132, std=2.899, absmax=15.23 +2025-10-31 17:11:52,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.574, max=10.69, mean=-0.06099, std=2.392, absmax=10.69 +2025-10-31 17:11:52,558 ERROR: Encountered non-finite generator loss at iter 6725; skipping update. +2025-10-31 17:11:52,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:52,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:52,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:52,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:52,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.17, mean=-0.1633, std=2.444, absmax=13.17 +2025-10-31 17:11:52,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.188, max=8.805, mean=-0.2327, std=2.123, absmax=9.188 +2025-10-31 17:11:53,060 ERROR: Encountered non-finite generator loss at iter 6726; skipping update. +2025-10-31 17:11:53,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:53,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:53,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.52, mean=-0.1898, std=3.062, absmax=12.28 +2025-10-31 17:11:53,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.143, max=8.191, mean=-0.08562, std=2.571, absmax=9.143 +2025-10-31 17:11:53,559 ERROR: Encountered non-finite generator loss at iter 6727; skipping update. +2025-10-31 17:11:53,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:53,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:53,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:53,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:53,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.14, mean=-0.3021, std=3.35, absmax=13.17 +2025-10-31 17:11:53,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=9.368, mean=-0.3142, std=2.812, absmax=11.18 +2025-10-31 17:11:54,061 ERROR: Encountered non-finite generator loss at iter 6728; skipping update. +2025-10-31 17:11:54,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:54,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:54,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.47, mean=-0.02458, std=2.857, absmax=13.47 +2025-10-31 17:11:54,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.061, max=9.723, mean=-0.0161, std=2.389, absmax=9.723 +2025-10-31 17:11:54,562 ERROR: Encountered non-finite generator loss at iter 6729; skipping update. +2025-10-31 17:11:54,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:54,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:54,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:54,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:54,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=16.72, mean=-0.1315, std=2.964, absmax=16.72 +2025-10-31 17:11:54,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=10.9, mean=-0.1489, std=2.628, absmax=11.55 +2025-10-31 17:11:55,064 ERROR: Encountered non-finite generator loss at iter 6730; skipping update. +2025-10-31 17:11:55,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,067 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:55,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:55,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.54, mean=-0.007968, std=3.851, absmax=14.25 +2025-10-31 17:11:55,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.67, mean=-0.04592, std=3.099, absmax=11.66 +2025-10-31 17:11:55,568 ERROR: Encountered non-finite generator loss at iter 6731; skipping update. +2025-10-31 17:11:55,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:55,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:55,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:55,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:55,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=12.83, mean=-0.1832, std=2.622, absmax=12.83 +2025-10-31 17:11:55,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.123, mean=-0.1375, std=2.289, absmax=10.03 +2025-10-31 17:11:56,074 ERROR: Encountered non-finite generator loss at iter 6732; skipping update. +2025-10-31 17:11:56,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:56,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:56,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.12, mean=-0.1406, std=3.209, absmax=14.12 +2025-10-31 17:11:56,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.34, mean=-0.2002, std=2.95, absmax=11.34 +2025-10-31 17:11:56,580 ERROR: Encountered non-finite generator loss at iter 6733; skipping update. +2025-10-31 17:11:56,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:56,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:56,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:56,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:56,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=17.01, mean=-0.08158, std=3.045, absmax=17.01 +2025-10-31 17:11:56,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=10.77, mean=-0.06483, std=2.532, absmax=10.77 +2025-10-31 17:11:57,087 ERROR: Encountered non-finite generator loss at iter 6734; skipping update. +2025-10-31 17:11:57,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:57,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:57,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.57, mean=-0.1501, std=3.532, absmax=13.72 +2025-10-31 17:11:57,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=12.51, mean=-0.1803, std=2.968, absmax=12.51 +2025-10-31 17:11:57,593 ERROR: Encountered non-finite generator loss at iter 6735; skipping update. +2025-10-31 17:11:57,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:57,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:57,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:57,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:57,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.11, mean=-0.2015, std=2.685, absmax=13.11 +2025-10-31 17:11:57,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.629, mean=-0.1762, std=2.216, absmax=10.21 +2025-10-31 17:11:58,100 ERROR: Encountered non-finite generator loss at iter 6736; skipping update. +2025-10-31 17:11:58,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:58,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:58,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.9, mean=-0.1052, std=2.604, absmax=12.4 +2025-10-31 17:11:58,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.763, max=7.491, mean=-0.08645, std=2.088, absmax=8.763 +2025-10-31 17:11:58,608 ERROR: Encountered non-finite generator loss at iter 6737; skipping update. +2025-10-31 17:11:58,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:58,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:58,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:58,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:58,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.73, mean=-0.07317, std=3.236, absmax=14.73 +2025-10-31 17:11:58,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=12, mean=-0.07005, std=2.72, absmax=12 +2025-10-31 17:11:59,116 ERROR: Encountered non-finite generator loss at iter 6738; skipping update. +2025-10-31 17:11:59,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:59,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:59,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.63, mean=-0.06664, std=2.756, absmax=12.71 +2025-10-31 17:11:59,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=10.74, mean=-0.1134, std=2.289, absmax=10.74 +2025-10-31 17:11:59,621 ERROR: Encountered non-finite generator loss at iter 6739; skipping update. +2025-10-31 17:11:59,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:11:59,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:11:59,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:11:59,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:11:59,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.74, mean=-0.1692, std=2.767, absmax=14.74 +2025-10-31 17:11:59,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.91, mean=-0.1571, std=2.392, absmax=11.91 +2025-10-31 17:12:00,127 ERROR: Encountered non-finite generator loss at iter 6740; skipping update. +2025-10-31 17:12:00,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:00,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:00,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.25, max=11.78, mean=-0.06083, std=2.661, absmax=11.78 +2025-10-31 17:12:00,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.064, mean=-0.1791, std=2.225, absmax=10.06 +2025-10-31 17:12:00,631 ERROR: Encountered non-finite generator loss at iter 6741; skipping update. +2025-10-31 17:12:00,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:00,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:00,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:00,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:00,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.62, mean=-0.2274, std=2.556, absmax=13.24 +2025-10-31 17:12:00,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.851, max=8.337, mean=-0.2038, std=2.14, absmax=9.851 +2025-10-31 17:12:01,137 ERROR: Encountered non-finite generator loss at iter 6742; skipping update. +2025-10-31 17:12:01,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:01,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:01,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.32, mean=-0.1909, std=2.96, absmax=13.74 +2025-10-31 17:12:01,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=9.107, mean=-0.189, std=2.547, absmax=12.36 +2025-10-31 17:12:01,639 ERROR: Encountered non-finite generator loss at iter 6743; skipping update. +2025-10-31 17:12:01,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:01,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:01,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:01,646 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:01,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.71, mean=-0.2199, std=2.76, absmax=12.71 +2025-10-31 17:12:01,648 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.996, max=8.672, mean=-0.2222, std=2.293, absmax=9.996 +2025-10-31 17:12:02,143 ERROR: Encountered non-finite generator loss at iter 6744; skipping update. +2025-10-31 17:12:02,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:02,150 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:02,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=15.11, mean=0.06074, std=3.838, absmax=15.11 +2025-10-31 17:12:02,152 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=14.75, mean=0.05322, std=3.473, absmax=14.75 +2025-10-31 17:12:02,646 ERROR: Encountered non-finite generator loss at iter 6745; skipping update. +2025-10-31 17:12:02,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:02,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:02,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:02,655 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:02,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.09, mean=-0.2972, std=3.119, absmax=14.09 +2025-10-31 17:12:02,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=11.06, mean=-0.2551, std=2.554, absmax=12.47 +2025-10-31 17:12:03,152 ERROR: Encountered non-finite generator loss at iter 6746; skipping update. +2025-10-31 17:12:03,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:03,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:03,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.97, mean=-0.163, std=2.768, absmax=13.62 +2025-10-31 17:12:03,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=8.809, mean=-0.1733, std=2.252, absmax=9.991 +2025-10-31 17:12:03,656 ERROR: Encountered non-finite generator loss at iter 6747; skipping update. +2025-10-31 17:12:03,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:03,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:03,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:03,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:03,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.98, mean=-0.01953, std=3.083, absmax=12.2 +2025-10-31 17:12:03,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.693, max=9.371, mean=-0.02969, std=2.59, absmax=9.371 +2025-10-31 17:12:04,160 ERROR: Encountered non-finite generator loss at iter 6748; skipping update. +2025-10-31 17:12:04,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:04,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:04,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.35, mean=-0.1099, std=3.35, absmax=12.35 +2025-10-31 17:12:04,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.899, max=10.15, mean=-0.1114, std=2.882, absmax=10.15 +2025-10-31 17:12:04,661 ERROR: Encountered non-finite generator loss at iter 6749; skipping update. +2025-10-31 17:12:04,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:04,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:04,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:04,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:04,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.68, mean=-0.2062, std=2.746, absmax=12.88 +2025-10-31 17:12:04,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=8.183, mean=-0.2692, std=2.314, absmax=10.74 +2025-10-31 17:12:05,165 ERROR: Encountered non-finite generator loss at iter 6750; skipping update. +2025-10-31 17:12:05,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:05,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:05,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.23, mean=-0.09001, std=3.207, absmax=13.23 +2025-10-31 17:12:05,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=11.3, mean=-0.09557, std=2.75, absmax=11.52 +2025-10-31 17:12:05,669 ERROR: Encountered non-finite generator loss at iter 6751; skipping update. +2025-10-31 17:12:05,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:05,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:05,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:05,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:05,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.37, mean=-0.1122, std=3.058, absmax=12.93 +2025-10-31 17:12:05,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.334, max=10.55, mean=-0.1452, std=2.539, absmax=10.55 +2025-10-31 17:12:06,172 ERROR: Encountered non-finite generator loss at iter 6752; skipping update. +2025-10-31 17:12:06,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:06,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:06,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.1, mean=-0.2212, std=2.837, absmax=13.1 +2025-10-31 17:12:06,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.42, max=8.817, mean=-0.2591, std=2.457, absmax=9.42 +2025-10-31 17:12:06,674 ERROR: Encountered non-finite generator loss at iter 6753; skipping update. +2025-10-31 17:12:06,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:06,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:06,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:06,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:06,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.16, mean=0.3532, std=3.804, absmax=15.16 +2025-10-31 17:12:06,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=14.82, mean=0.3299, std=3.356, absmax=14.82 +2025-10-31 17:12:07,176 ERROR: Encountered non-finite generator loss at iter 6754; skipping update. +2025-10-31 17:12:07,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:07,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:07,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=11.71, mean=-0.1337, std=2.596, absmax=11.71 +2025-10-31 17:12:07,187 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.821, max=11.3, mean=-0.1243, std=2.485, absmax=11.3 +2025-10-31 17:12:07,681 ERROR: Encountered non-finite generator loss at iter 6755; skipping update. +2025-10-31 17:12:07,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:07,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:07,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:07,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:07,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.52, mean=-0.1049, std=2.704, absmax=12.52 +2025-10-31 17:12:07,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=11.15, mean=-0.08911, std=2.233, absmax=11.15 +2025-10-31 17:12:08,185 ERROR: Encountered non-finite generator loss at iter 6756; skipping update. +2025-10-31 17:12:08,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:08,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:08,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.37, mean=-0.2063, std=2.491, absmax=13.28 +2025-10-31 17:12:08,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.986, max=7.772, mean=-0.1898, std=2.047, absmax=9.986 +2025-10-31 17:12:08,689 ERROR: Encountered non-finite generator loss at iter 6757; skipping update. +2025-10-31 17:12:08,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:08,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:08,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:08,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:08,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=16.06, mean=-0.09522, std=2.767, absmax=16.06 +2025-10-31 17:12:08,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.595, max=10.21, mean=-0.108, std=2.362, absmax=10.21 +2025-10-31 17:12:09,193 ERROR: Encountered non-finite generator loss at iter 6758; skipping update. +2025-10-31 17:12:09,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:09,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:09,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.29, mean=-0.3178, std=2.84, absmax=12.29 +2025-10-31 17:12:09,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=8.011, mean=-0.287, std=2.403, absmax=9.502 +2025-10-31 17:12:09,696 ERROR: Encountered non-finite generator loss at iter 6759; skipping update. +2025-10-31 17:12:09,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,700 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:09,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:09,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:09,704 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:09,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.14, mean=-0.3498, std=2.65, absmax=12.08 +2025-10-31 17:12:09,706 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.607, max=8.808, mean=-0.2538, std=2.282, absmax=9.607 +2025-10-31 17:12:10,200 ERROR: Encountered non-finite generator loss at iter 6760; skipping update. +2025-10-31 17:12:10,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:10,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:10,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.82, mean=-0.1119, std=3.484, absmax=13.25 +2025-10-31 17:12:10,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=11.07, mean=-0.1018, std=2.937, absmax=12.28 +2025-10-31 17:12:10,704 ERROR: Encountered non-finite generator loss at iter 6761; skipping update. +2025-10-31 17:12:10,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:10,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:10,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:10,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:10,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.84, mean=-0.2005, std=3.205, absmax=13.58 +2025-10-31 17:12:10,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10, mean=-0.1624, std=2.492, absmax=11.05 +2025-10-31 17:12:11,210 ERROR: Encountered non-finite generator loss at iter 6762; skipping update. +2025-10-31 17:12:11,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,215 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,217 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:11,218 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:11,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.35, mean=-0.2568, std=2.632, absmax=11.35 +2025-10-31 17:12:11,220 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=10.4, mean=-0.3129, std=2.669, absmax=12.78 +2025-10-31 17:12:11,716 ERROR: Encountered non-finite generator loss at iter 6763; skipping update. +2025-10-31 17:12:11,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:11,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:11,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:11,724 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:11,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.26, mean=-0.1744, std=3.167, absmax=13.26 +2025-10-31 17:12:11,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.28, mean=-0.1912, std=2.584, absmax=10.08 +2025-10-31 17:12:12,222 ERROR: Encountered non-finite generator loss at iter 6764; skipping update. +2025-10-31 17:12:12,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:12,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:12,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=14.36, mean=0.1623, std=3.573, absmax=14.36 +2025-10-31 17:12:12,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.865, max=12.94, mean=0.1679, std=3.111, absmax=12.94 +2025-10-31 17:12:12,728 ERROR: Encountered non-finite generator loss at iter 6765; skipping update. +2025-10-31 17:12:12,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:12,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:12,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:12,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:12,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=12.89, mean=-0.1566, std=3.529, absmax=15.08 +2025-10-31 17:12:12,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=9.53, mean=-0.2542, std=2.908, absmax=11.51 +2025-10-31 17:12:13,234 ERROR: Encountered non-finite generator loss at iter 6766; skipping update. +2025-10-31 17:12:13,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:13,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:13,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.84, mean=-0.1439, std=2.793, absmax=13.84 +2025-10-31 17:12:13,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.92, max=9.829, mean=-0.1815, std=2.242, absmax=9.92 +2025-10-31 17:12:13,741 ERROR: Encountered non-finite generator loss at iter 6767; skipping update. +2025-10-31 17:12:13,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:13,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:13,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:13,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:13,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.61, max=16.48, mean=-0.2916, std=3.073, absmax=16.61 +2025-10-31 17:12:13,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=11.24, mean=-0.256, std=2.781, absmax=11.24 +2025-10-31 17:12:14,246 ERROR: Encountered non-finite generator loss at iter 6768; skipping update. +2025-10-31 17:12:14,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,249 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:14,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:14,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.13, mean=-0.1921, std=2.733, absmax=12.13 +2025-10-31 17:12:14,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.744, max=9.636, mean=-0.1899, std=2.333, absmax=9.636 +2025-10-31 17:12:14,749 ERROR: Encountered non-finite generator loss at iter 6769; skipping update. +2025-10-31 17:12:14,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:14,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:14,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:14,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:14,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=10.89, mean=-0.1732, std=2.775, absmax=13.15 +2025-10-31 17:12:14,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.862, max=8.55, mean=-0.1527, std=2.276, absmax=9.862 +2025-10-31 17:12:15,254 ERROR: Encountered non-finite generator loss at iter 6770; skipping update. +2025-10-31 17:12:15,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:15,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:15,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.39, mean=-0.1122, std=3.254, absmax=14.15 +2025-10-31 17:12:15,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=12.4, mean=-0.086, std=2.754, absmax=12.4 +2025-10-31 17:12:15,755 ERROR: Encountered non-finite generator loss at iter 6771; skipping update. +2025-10-31 17:12:15,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:15,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:15,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:15,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:15,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.99, mean=-0.03466, std=3.286, absmax=13.6 +2025-10-31 17:12:15,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=10.82, mean=-0.04889, std=2.642, absmax=11.32 +2025-10-31 17:12:16,256 ERROR: Encountered non-finite generator loss at iter 6772; skipping update. +2025-10-31 17:12:16,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:16,265 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:16,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=12.35, mean=-0.08796, std=2.705, absmax=12.35 +2025-10-31 17:12:16,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.131, max=10.28, mean=-0.1273, std=2.365, absmax=10.28 +2025-10-31 17:12:16,758 ERROR: Encountered non-finite generator loss at iter 6773; skipping update. +2025-10-31 17:12:16,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:16,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:16,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:16,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:16,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.71, mean=-0.2881, std=3.344, absmax=13.95 +2025-10-31 17:12:16,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=9.726, mean=-0.2549, std=2.732, absmax=12.47 +2025-10-31 17:12:17,260 ERROR: Encountered non-finite generator loss at iter 6774; skipping update. +2025-10-31 17:12:17,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:17,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:17,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.92, mean=-0.3465, std=2.959, absmax=14.92 +2025-10-31 17:12:17,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.952, mean=-0.3054, std=2.469, absmax=10.95 +2025-10-31 17:12:17,762 ERROR: Encountered non-finite generator loss at iter 6775; skipping update. +2025-10-31 17:12:17,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:17,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:17,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:17,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:17,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.39, mean=-0.1344, std=2.89, absmax=13.52 +2025-10-31 17:12:17,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.055, mean=-0.1448, std=2.38, absmax=10.04 +2025-10-31 17:12:18,263 ERROR: Encountered non-finite generator loss at iter 6776; skipping update. +2025-10-31 17:12:18,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,269 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:18,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:18,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.12, mean=-0.1959, std=2.636, absmax=11.2 +2025-10-31 17:12:18,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.941, max=9.638, mean=-0.2124, std=2.389, absmax=9.941 +2025-10-31 17:12:18,765 ERROR: Encountered non-finite generator loss at iter 6777; skipping update. +2025-10-31 17:12:18,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:18,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:18,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:18,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:18,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.99, mean=-0.1972, std=3.044, absmax=13.3 +2025-10-31 17:12:18,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.14, mean=-0.2086, std=2.748, absmax=10.93 +2025-10-31 17:12:19,267 ERROR: Encountered non-finite generator loss at iter 6778; skipping update. +2025-10-31 17:12:19,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:19,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:19,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.86, mean=-0.1358, std=2.993, absmax=14.07 +2025-10-31 17:12:19,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=10.44, mean=-0.1024, std=2.497, absmax=10.44 +2025-10-31 17:12:19,770 ERROR: Encountered non-finite generator loss at iter 6779; skipping update. +2025-10-31 17:12:19,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:19,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:19,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:19,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:19,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=16.19, mean=-0.002544, std=2.987, absmax=16.19 +2025-10-31 17:12:19,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=10.01, mean=-0.05616, std=2.365, absmax=10.12 +2025-10-31 17:12:20,270 ERROR: Encountered non-finite generator loss at iter 6780; skipping update. +2025-10-31 17:12:20,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:20,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:20,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.79, mean=-0.1423, std=3.339, absmax=14.04 +2025-10-31 17:12:20,279 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.156, mean=-0.09074, std=2.759, absmax=10.85 +2025-10-31 17:12:20,771 ERROR: Encountered non-finite generator loss at iter 6781; skipping update. +2025-10-31 17:12:20,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:20,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:20,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:20,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:20,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.37, mean=-0.1946, std=2.946, absmax=13.37 +2025-10-31 17:12:20,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.76, mean=-0.2152, std=2.594, absmax=10.76 +2025-10-31 17:12:21,271 ERROR: Encountered non-finite generator loss at iter 6782; skipping update. +2025-10-31 17:12:21,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:21,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:21,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.84, mean=-0.1386, std=3.024, absmax=13 +2025-10-31 17:12:21,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=10.11, mean=-0.1634, std=2.62, absmax=11.59 +2025-10-31 17:12:21,772 ERROR: Encountered non-finite generator loss at iter 6783; skipping update. +2025-10-31 17:12:21,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,774 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,775 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:21,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:21,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:21,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:21,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.14, mean=-0.3339, std=2.782, absmax=13.14 +2025-10-31 17:12:21,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=7.881, mean=-0.3268, std=2.283, absmax=10.37 +2025-10-31 17:12:22,273 ERROR: Encountered non-finite generator loss at iter 6784; skipping update. +2025-10-31 17:12:22,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:22,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:22,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.53, mean=-0.09623, std=3.157, absmax=15.53 +2025-10-31 17:12:22,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=11.92, mean=-0.1001, std=2.599, absmax=11.92 +2025-10-31 17:12:22,774 ERROR: Encountered non-finite generator loss at iter 6785; skipping update. +2025-10-31 17:12:22,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:22,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:22,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:22,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:22,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.81, mean=-0.3053, std=3.009, absmax=13.81 +2025-10-31 17:12:22,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.989, mean=-0.2996, std=2.509, absmax=10.17 +2025-10-31 17:12:23,274 ERROR: Encountered non-finite generator loss at iter 6786; skipping update. +2025-10-31 17:12:23,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:23,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:23,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.97, mean=-0.1511, std=2.917, absmax=12.43 +2025-10-31 17:12:23,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.64, max=8.44, mean=-0.1778, std=2.438, absmax=9.64 +2025-10-31 17:12:23,775 ERROR: Encountered non-finite generator loss at iter 6787; skipping update. +2025-10-31 17:12:23,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:23,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:23,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:23,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:23,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.77, mean=-0.19, std=2.89, absmax=14.77 +2025-10-31 17:12:23,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.546, max=10.53, mean=-0.1673, std=2.31, absmax=10.53 +2025-10-31 17:12:24,276 ERROR: Encountered non-finite generator loss at iter 6788; skipping update. +2025-10-31 17:12:24,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:24,284 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:24,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14.58, mean=-0.0848, std=3.396, absmax=14.58 +2025-10-31 17:12:24,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=12.02, mean=-0.07867, std=2.977, absmax=12.02 +2025-10-31 17:12:24,783 ERROR: Encountered non-finite generator loss at iter 6789; skipping update. +2025-10-31 17:12:24,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:24,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:24,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:24,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:24,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=15.49, mean=-0.2357, std=3.469, absmax=15.49 +2025-10-31 17:12:24,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=13.38, mean=-0.2199, std=2.957, absmax=13.38 +2025-10-31 17:12:25,290 ERROR: Encountered non-finite generator loss at iter 6790; skipping update. +2025-10-31 17:12:25,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:25,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:25,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.59, mean=-0.2646, std=2.858, absmax=13.54 +2025-10-31 17:12:25,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=9.073, mean=-0.2628, std=2.321, absmax=10.24 +2025-10-31 17:12:25,798 ERROR: Encountered non-finite generator loss at iter 6791; skipping update. +2025-10-31 17:12:25,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:25,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:25,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:25,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:25,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=10.02, mean=-0.2539, std=3, absmax=13.47 +2025-10-31 17:12:25,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=8.363, mean=-0.2163, std=2.552, absmax=11.87 +2025-10-31 17:12:26,303 ERROR: Encountered non-finite generator loss at iter 6792; skipping update. +2025-10-31 17:12:26,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:26,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:26,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.16, mean=-0.2591, std=2.513, absmax=13.05 +2025-10-31 17:12:26,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.484, max=7.451, mean=-0.2711, std=2.181, absmax=9.484 +2025-10-31 17:12:26,808 ERROR: Encountered non-finite generator loss at iter 6793; skipping update. +2025-10-31 17:12:26,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:26,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:26,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:26,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:26,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=14.09, mean=-0.1303, std=3.08, absmax=14.63 +2025-10-31 17:12:26,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=9.62, mean=-0.1645, std=2.67, absmax=12.13 +2025-10-31 17:12:27,316 ERROR: Encountered non-finite generator loss at iter 6794; skipping update. +2025-10-31 17:12:27,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:27,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:27,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=12.65, mean=-0.2665, std=4.181, absmax=15.14 +2025-10-31 17:12:27,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.24, max=11.69, mean=-0.2551, std=3.659, absmax=13.24 +2025-10-31 17:12:27,821 ERROR: Encountered non-finite generator loss at iter 6795; skipping update. +2025-10-31 17:12:27,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:27,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:27,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:27,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:27,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.03, mean=-0.08671, std=3.123, absmax=13.03 +2025-10-31 17:12:27,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10, mean=-0.1305, std=2.668, absmax=10.47 +2025-10-31 17:12:28,326 ERROR: Encountered non-finite generator loss at iter 6796; skipping update. +2025-10-31 17:12:28,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:28,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:28,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.32, mean=-0.1301, std=2.856, absmax=13.31 +2025-10-31 17:12:28,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.58, mean=-0.1307, std=2.402, absmax=10.58 +2025-10-31 17:12:28,832 ERROR: Encountered non-finite generator loss at iter 6797; skipping update. +2025-10-31 17:12:28,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:28,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:28,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:28,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:28,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.16, mean=-0.3572, std=2.866, absmax=13.25 +2025-10-31 17:12:28,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=8.036, mean=-0.3712, std=2.485, absmax=10.96 +2025-10-31 17:12:29,339 ERROR: Encountered non-finite generator loss at iter 6798; skipping update. +2025-10-31 17:12:29,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:29,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:29,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.12, max=10.59, mean=-0.2142, std=2.54, absmax=10.59 +2025-10-31 17:12:29,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.647, max=7.513, mean=-0.223, std=2.242, absmax=8.647 +2025-10-31 17:12:29,845 ERROR: Encountered non-finite generator loss at iter 6799; skipping update. +2025-10-31 17:12:29,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:29,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:29,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:29,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:29,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.18, mean=0.07113, std=3.249, absmax=14.18 +2025-10-31 17:12:29,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.989, max=9.503, mean=0.03173, std=2.517, absmax=9.989 +2025-10-31 17:12:30,350 ERROR: Encountered non-finite generator loss at iter 6800; skipping update. +2025-10-31 17:12:30,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:30,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:30,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.35, mean=-0.2107, std=2.715, absmax=12.35 +2025-10-31 17:12:30,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.053, max=8.961, mean=-0.1777, std=2.179, absmax=9.053 +2025-10-31 17:12:30,362 INFO: [29..][epoch: 0, step: 6,800, lr:(1.500e-04,)] [eta: 1 day, 16:49:16, time (data): 0.503 (0.000)] +2025-10-31 17:12:30,855 ERROR: Encountered non-finite generator loss at iter 6801; skipping update. +2025-10-31 17:12:30,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:30,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:30,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:30,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:30,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.28, mean=0.02008, std=3.775, absmax=15.28 +2025-10-31 17:12:30,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=13.68, mean=0.0023, std=3.256, absmax=13.68 +2025-10-31 17:12:31,362 ERROR: Encountered non-finite generator loss at iter 6802; skipping update. +2025-10-31 17:12:31,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:31,372 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:31,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.65, mean=-0.2672, std=3.161, absmax=13.02 +2025-10-31 17:12:31,374 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.292, mean=-0.2655, std=2.63, absmax=10.91 +2025-10-31 17:12:31,869 ERROR: Encountered non-finite generator loss at iter 6803; skipping update. +2025-10-31 17:12:31,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,873 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:31,874 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:31,875 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:31,876 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:31,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=12.39, mean=-0.2291, std=3.304, absmax=13.88 +2025-10-31 17:12:31,878 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=9.304, mean=-0.2631, std=2.818, absmax=11.85 +2025-10-31 17:12:32,374 ERROR: Encountered non-finite generator loss at iter 6804; skipping update. +2025-10-31 17:12:32,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:32,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:32,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=11.35, mean=-0.2799, std=3.064, absmax=15.48 +2025-10-31 17:12:32,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.133, mean=-0.2627, std=2.659, absmax=11.54 +2025-10-31 17:12:32,879 ERROR: Encountered non-finite generator loss at iter 6805; skipping update. +2025-10-31 17:12:32,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:32,885 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:32,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:32,887 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:32,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=13.98, mean=-0.175, std=2.742, absmax=13.98 +2025-10-31 17:12:32,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.142, max=9.043, mean=-0.1731, std=2.325, absmax=9.142 +2025-10-31 17:12:33,385 ERROR: Encountered non-finite generator loss at iter 6806; skipping update. +2025-10-31 17:12:33,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,389 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,391 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,392 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:33,393 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:33,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.11, mean=-0.1648, std=2.879, absmax=13.52 +2025-10-31 17:12:33,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=7.88, mean=-0.2081, std=2.335, absmax=11.55 +2025-10-31 17:12:33,890 ERROR: Encountered non-finite generator loss at iter 6807; skipping update. +2025-10-31 17:12:33,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:33,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:33,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:33,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:33,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.67, mean=-0.2572, std=3.363, absmax=13.67 +2025-10-31 17:12:33,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.13, mean=-0.2245, std=2.728, absmax=11.13 +2025-10-31 17:12:34,395 ERROR: Encountered non-finite generator loss at iter 6808; skipping update. +2025-10-31 17:12:34,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:34,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:34,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.9, mean=-0.2725, std=2.701, absmax=13.9 +2025-10-31 17:12:34,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.657, max=10.89, mean=-0.2707, std=2.291, absmax=10.89 +2025-10-31 17:12:34,900 ERROR: Encountered non-finite generator loss at iter 6809; skipping update. +2025-10-31 17:12:34,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:34,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:34,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:34,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:34,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=15.54, mean=-0.05073, std=3.132, absmax=15.54 +2025-10-31 17:12:34,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=9.368, mean=-0.1447, std=2.529, absmax=10.44 +2025-10-31 17:12:35,404 ERROR: Encountered non-finite generator loss at iter 6810; skipping update. +2025-10-31 17:12:35,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,407 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,407 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:35,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:35,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.66, mean=-0.0129, std=3.093, absmax=12.66 +2025-10-31 17:12:35,412 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.724, max=10.73, mean=-0.07924, std=2.546, absmax=10.73 +2025-10-31 17:12:35,907 ERROR: Encountered non-finite generator loss at iter 6811; skipping update. +2025-10-31 17:12:35,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:35,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:35,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:35,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:35,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.33, mean=-0.2651, std=2.734, absmax=13.28 +2025-10-31 17:12:35,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=7.757, mean=-0.2619, std=2.278, absmax=9.406 +2025-10-31 17:12:36,412 ERROR: Encountered non-finite generator loss at iter 6812; skipping update. +2025-10-31 17:12:36,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:36,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:36,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.89, max=12.88, mean=-0.2994, std=3.092, absmax=15.89 +2025-10-31 17:12:36,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=10.4, mean=-0.2621, std=2.722, absmax=12.01 +2025-10-31 17:12:36,916 ERROR: Encountered non-finite generator loss at iter 6813; skipping update. +2025-10-31 17:12:36,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,919 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:36,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:36,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:36,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:36,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.76, mean=-0.1184, std=3.077, absmax=14.76 +2025-10-31 17:12:36,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=11.26, mean=-0.05049, std=2.586, absmax=11.26 +2025-10-31 17:12:37,421 ERROR: Encountered non-finite generator loss at iter 6814; skipping update. +2025-10-31 17:12:37,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,427 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,428 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:37,429 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:37,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.18, mean=0.1173, std=3.152, absmax=15.18 +2025-10-31 17:12:37,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.17, max=9.522, mean=0.06385, std=2.568, absmax=9.522 +2025-10-31 17:12:37,926 ERROR: Encountered non-finite generator loss at iter 6815; skipping update. +2025-10-31 17:12:37,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:37,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:37,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:37,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:37,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=14.13, mean=-0.0395, std=3.037, absmax=14.13 +2025-10-31 17:12:37,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.67, mean=-0.07998, std=2.472, absmax=11.12 +2025-10-31 17:12:38,432 ERROR: Encountered non-finite generator loss at iter 6816; skipping update. +2025-10-31 17:12:38,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:38,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:38,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=12.48, mean=-0.2633, std=2.702, absmax=12.48 +2025-10-31 17:12:38,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.408, max=8.61, mean=-0.225, std=2.236, absmax=9.408 +2025-10-31 17:12:38,938 ERROR: Encountered non-finite generator loss at iter 6817; skipping update. +2025-10-31 17:12:38,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:38,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:38,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:38,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:38,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=12.65, mean=-0.2373, std=2.613, absmax=12.65 +2025-10-31 17:12:38,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=10.85, mean=-0.2393, std=2.372, absmax=10.85 +2025-10-31 17:12:39,443 ERROR: Encountered non-finite generator loss at iter 6818; skipping update. +2025-10-31 17:12:39,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:39,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:39,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=16.52, mean=-0.2129, std=3.526, absmax=16.52 +2025-10-31 17:12:39,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.69, mean=-0.1896, std=2.868, absmax=10.69 +2025-10-31 17:12:39,948 ERROR: Encountered non-finite generator loss at iter 6819; skipping update. +2025-10-31 17:12:39,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:39,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:39,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:39,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:39,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.06, mean=-0.3113, std=2.839, absmax=12.06 +2025-10-31 17:12:39,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.691, mean=-0.2936, std=2.392, absmax=10.13 +2025-10-31 17:12:40,453 ERROR: Encountered non-finite generator loss at iter 6820; skipping update. +2025-10-31 17:12:40,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:40,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:40,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=15.17, mean=-0.1705, std=3.131, absmax=15.17 +2025-10-31 17:12:40,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.068, max=13.22, mean=-0.1492, std=2.755, absmax=13.22 +2025-10-31 17:12:40,958 ERROR: Encountered non-finite generator loss at iter 6821; skipping update. +2025-10-31 17:12:40,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:40,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:40,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:40,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:40,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=15.16, mean=-0.1996, std=2.706, absmax=15.16 +2025-10-31 17:12:40,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.35, max=8.272, mean=-0.2207, std=2.344, absmax=8.35 +2025-10-31 17:12:41,465 ERROR: Encountered non-finite generator loss at iter 6822; skipping update. +2025-10-31 17:12:41,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:41,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:41,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.91, mean=-0.3241, std=2.957, absmax=12.09 +2025-10-31 17:12:41,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=10.53, mean=-0.2837, std=2.601, absmax=10.53 +2025-10-31 17:12:41,969 ERROR: Encountered non-finite generator loss at iter 6823; skipping update. +2025-10-31 17:12:41,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:41,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:41,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:41,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:41,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11, mean=-0.2795, std=3.5, absmax=13.63 +2025-10-31 17:12:41,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=9.87, mean=-0.2351, std=3.041, absmax=11.84 +2025-10-31 17:12:42,474 ERROR: Encountered non-finite generator loss at iter 6824; skipping update. +2025-10-31 17:12:42,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:42,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:42,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=13.95, mean=-0.233, std=3.282, absmax=13.95 +2025-10-31 17:12:42,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.998, max=10.3, mean=-0.2336, std=2.681, absmax=10.3 +2025-10-31 17:12:42,979 ERROR: Encountered non-finite generator loss at iter 6825; skipping update. +2025-10-31 17:12:42,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:42,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:42,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:42,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:42,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.08, mean=-0.2416, std=2.683, absmax=12.17 +2025-10-31 17:12:42,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.739, mean=-0.2308, std=2.253, absmax=10.57 +2025-10-31 17:12:43,483 ERROR: Encountered non-finite generator loss at iter 6826; skipping update. +2025-10-31 17:12:43,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:43,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:43,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.91, mean=-0.1342, std=3.001, absmax=11.91 +2025-10-31 17:12:43,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.315, mean=-0.1199, std=2.47, absmax=10.06 +2025-10-31 17:12:43,988 ERROR: Encountered non-finite generator loss at iter 6827; skipping update. +2025-10-31 17:12:43,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:43,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:43,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:43,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:43,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.2, mean=-0.2786, std=2.71, absmax=13.2 +2025-10-31 17:12:43,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.591, max=9.564, mean=-0.308, std=2.319, absmax=9.591 +2025-10-31 17:12:44,492 ERROR: Encountered non-finite generator loss at iter 6828; skipping update. +2025-10-31 17:12:44,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:44,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:44,495 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:44,496 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:44,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:44,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:44,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:44,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:44,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=11.86, mean=-0.2755, std=3.406, absmax=14.23 +2025-10-31 17:12:44,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=9.754, mean=-0.2642, std=2.79, absmax=11.76 +2025-10-31 17:12:44,994 ERROR: Encountered non-finite generator loss at iter 6829; skipping update. +2025-10-31 17:12:44,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:44,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:44,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:44,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:44,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:45,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:45,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:45,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:45,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=10.45, mean=-0.2617, std=2.571, absmax=11.1 +2025-10-31 17:12:45,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.208, max=10.26, mean=-0.2224, std=2.246, absmax=10.26 +2025-10-31 17:12:45,495 ERROR: Encountered non-finite generator loss at iter 6830; skipping update. +2025-10-31 17:12:45,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:45,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:45,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:45,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:45,500 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:45,501 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:45,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:45,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:45,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.19, mean=0.006883, std=2.977, absmax=14.19 +2025-10-31 17:12:45,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.987, max=10.97, mean=-0.0445, std=2.575, absmax=10.97 +2025-10-31 17:12:45,995 ERROR: Encountered non-finite generator loss at iter 6831; skipping update. +2025-10-31 17:12:45,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:45,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:45,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:46,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:46,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:46,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:46,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:46,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:46,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.58, mean=-0.1585, std=3.082, absmax=12.56 +2025-10-31 17:12:46,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.258, mean=-0.1845, std=2.559, absmax=11 +2025-10-31 17:12:46,497 ERROR: Encountered non-finite generator loss at iter 6832; skipping update. +2025-10-31 17:12:46,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:46,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:46,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:46,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:46,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:46,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:46,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:46,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:46,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.95, mean=-0.09946, std=2.687, absmax=13.95 +2025-10-31 17:12:46,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.15, max=11.53, mean=-0.1561, std=2.492, absmax=12.15 +2025-10-31 17:12:46,998 ERROR: Encountered non-finite generator loss at iter 6833; skipping update. +2025-10-31 17:12:46,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:47,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:47,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.38, mean=-0.1132, std=3.317, absmax=15.1 +2025-10-31 17:12:47,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=10.76, mean=-0.1143, std=2.805, absmax=11.08 +2025-10-31 17:12:47,502 ERROR: Encountered non-finite generator loss at iter 6834; skipping update. +2025-10-31 17:12:47,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:47,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:47,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:47,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:47,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=14.82, mean=0.02709, std=3.035, absmax=14.82 +2025-10-31 17:12:47,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.176, max=11.25, mean=0.004257, std=2.524, absmax=11.25 +2025-10-31 17:12:48,006 ERROR: Encountered non-finite generator loss at iter 6835; skipping update. +2025-10-31 17:12:48,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:48,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:48,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.88, mean=0.06666, std=3.345, absmax=13.88 +2025-10-31 17:12:48,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=10.6, mean=0.03311, std=2.782, absmax=12.08 +2025-10-31 17:12:48,509 ERROR: Encountered non-finite generator loss at iter 6836; skipping update. +2025-10-31 17:12:48,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:48,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:48,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:48,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:48,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.44, mean=-0.1339, std=2.966, absmax=13.34 +2025-10-31 17:12:48,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.363, mean=-0.1362, std=2.573, absmax=10.96 +2025-10-31 17:12:49,013 ERROR: Encountered non-finite generator loss at iter 6837; skipping update. +2025-10-31 17:12:49,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,015 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:49,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:49,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.63, mean=-0.1752, std=2.626, absmax=11.63 +2025-10-31 17:12:49,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=9.84, mean=-0.1484, std=2.212, absmax=9.84 +2025-10-31 17:12:49,515 ERROR: Encountered non-finite generator loss at iter 6838; skipping update. +2025-10-31 17:12:49,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,517 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:49,518 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:49,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:49,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:49,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.2, mean=-0.29, std=2.955, absmax=13.1 +2025-10-31 17:12:49,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.11, mean=-0.2365, std=2.583, absmax=10.16 +2025-10-31 17:12:50,014 ERROR: Encountered non-finite generator loss at iter 6839; skipping update. +2025-10-31 17:12:50,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,017 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:50,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:50,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.63, mean=-0.2653, std=2.853, absmax=12.63 +2025-10-31 17:12:50,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.554, mean=-0.2625, std=2.29, absmax=10.05 +2025-10-31 17:12:50,515 ERROR: Encountered non-finite generator loss at iter 6840; skipping update. +2025-10-31 17:12:50,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:50,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:50,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:50,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:50,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=15.02, mean=0.01391, std=3.123, absmax=15.02 +2025-10-31 17:12:50,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.796, max=9.943, mean=0.03126, std=2.412, absmax=9.943 +2025-10-31 17:12:51,018 ERROR: Encountered non-finite generator loss at iter 6841; skipping update. +2025-10-31 17:12:51,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:51,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:51,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=15.37, mean=-0.278, std=2.666, absmax=15.37 +2025-10-31 17:12:51,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=10.23, mean=-0.2616, std=2.338, absmax=10.23 +2025-10-31 17:12:51,519 ERROR: Encountered non-finite generator loss at iter 6842; skipping update. +2025-10-31 17:12:51,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,522 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,524 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:51,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:51,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:51,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:51,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=11.12, mean=-0.1528, std=3.026, absmax=14.46 +2025-10-31 17:12:51,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.09, max=8.394, mean=-0.1643, std=2.52, absmax=13.09 +2025-10-31 17:12:52,021 ERROR: Encountered non-finite generator loss at iter 6843; skipping update. +2025-10-31 17:12:52,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,024 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:52,028 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:52,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.9, mean=0.04396, std=3.405, absmax=14.9 +2025-10-31 17:12:52,030 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.364, max=11.35, mean=0.003354, std=2.661, absmax=11.35 +2025-10-31 17:12:52,523 ERROR: Encountered non-finite generator loss at iter 6844; skipping update. +2025-10-31 17:12:52,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:52,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:52,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:52,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:52,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.56, mean=-0.1541, std=2.84, absmax=13.56 +2025-10-31 17:12:52,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=8.902, mean=-0.1755, std=2.233, absmax=10.42 +2025-10-31 17:12:53,025 ERROR: Encountered non-finite generator loss at iter 6845; skipping update. +2025-10-31 17:12:53,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:53,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:53,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.71, mean=-0.03682, std=3.578, absmax=14.71 +2025-10-31 17:12:53,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=11.24, mean=-0.04043, std=2.971, absmax=11.79 +2025-10-31 17:12:53,528 ERROR: Encountered non-finite generator loss at iter 6846; skipping update. +2025-10-31 17:12:53,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:53,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:53,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:53,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:53,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.47, mean=-0.157, std=2.994, absmax=12.47 +2025-10-31 17:12:53,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.307, max=8.69, mean=-0.1361, std=2.481, absmax=9.307 +2025-10-31 17:12:54,029 ERROR: Encountered non-finite generator loss at iter 6847; skipping update. +2025-10-31 17:12:54,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:54,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:54,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.94, mean=-0.2871, std=3.018, absmax=12.91 +2025-10-31 17:12:54,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=8.613, mean=-0.2765, std=2.527, absmax=11.09 +2025-10-31 17:12:54,528 ERROR: Encountered non-finite generator loss at iter 6848; skipping update. +2025-10-31 17:12:54,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:54,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:54,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:54,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:54,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.39, mean=0.03269, std=3.023, absmax=14.39 +2025-10-31 17:12:54,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.733, max=12.11, mean=-0.01543, std=2.593, absmax=12.11 +2025-10-31 17:12:55,029 ERROR: Encountered non-finite generator loss at iter 6849; skipping update. +2025-10-31 17:12:55,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:55,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:55,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.3, mean=-0.1437, std=2.69, absmax=12.3 +2025-10-31 17:12:55,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.33, mean=-0.1231, std=2.316, absmax=10.33 +2025-10-31 17:12:55,530 ERROR: Encountered non-finite generator loss at iter 6850; skipping update. +2025-10-31 17:12:55,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:55,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:55,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:55,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:55,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.65, mean=-0.1831, std=2.745, absmax=11.65 +2025-10-31 17:12:55,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.839, max=8.297, mean=-0.1685, std=2.421, absmax=8.839 +2025-10-31 17:12:56,032 ERROR: Encountered non-finite generator loss at iter 6851; skipping update. +2025-10-31 17:12:56,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,035 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:56,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:56,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.14, mean=-0.2321, std=3.604, absmax=14.24 +2025-10-31 17:12:56,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.88, mean=-0.1984, std=2.971, absmax=11.68 +2025-10-31 17:12:56,530 ERROR: Encountered non-finite generator loss at iter 6852; skipping update. +2025-10-31 17:12:56,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:56,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:56,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:56,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:56,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.43, mean=0.03619, std=3.252, absmax=13.43 +2025-10-31 17:12:56,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=10.19, mean=-0.01857, std=2.501, absmax=10.19 +2025-10-31 17:12:57,031 ERROR: Encountered non-finite generator loss at iter 6853; skipping update. +2025-10-31 17:12:57,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,033 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,034 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:57,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:57,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=12.63, mean=-0.1043, std=2.785, absmax=12.63 +2025-10-31 17:12:57,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.554, max=9.68, mean=-0.1403, std=2.23, absmax=9.68 +2025-10-31 17:12:57,531 ERROR: Encountered non-finite generator loss at iter 6854; skipping update. +2025-10-31 17:12:57,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:57,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:57,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:57,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:57,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.65, mean=-0.1349, std=2.878, absmax=13.65 +2025-10-31 17:12:57,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.71, mean=-0.1403, std=2.53, absmax=11.71 +2025-10-31 17:12:58,030 ERROR: Encountered non-finite generator loss at iter 6855; skipping update. +2025-10-31 17:12:58,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:58,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:58,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.68, mean=0.08761, std=2.946, absmax=14.68 +2025-10-31 17:12:58,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.135, max=10.92, mean=0.05822, std=2.457, absmax=10.92 +2025-10-31 17:12:58,530 ERROR: Encountered non-finite generator loss at iter 6856; skipping update. +2025-10-31 17:12:58,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:58,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:58,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:58,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:58,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.89, mean=0.1508, std=3.411, absmax=13.89 +2025-10-31 17:12:58,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.94, mean=0.1521, std=2.873, absmax=10.94 +2025-10-31 17:12:59,029 ERROR: Encountered non-finite generator loss at iter 6857; skipping update. +2025-10-31 17:12:59,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:59,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:59,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.75, mean=-0.2556, std=2.774, absmax=13.75 +2025-10-31 17:12:59,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.18, mean=-0.2473, std=2.344, absmax=10.23 +2025-10-31 17:12:59,529 ERROR: Encountered non-finite generator loss at iter 6858; skipping update. +2025-10-31 17:12:59,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:12:59,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:12:59,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:12:59,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:12:59,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.19, max=12.35, mean=-0.2113, std=2.887, absmax=16.19 +2025-10-31 17:12:59,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.86, max=9.097, mean=-0.1978, std=2.401, absmax=12.86 +2025-10-31 17:13:00,030 ERROR: Encountered non-finite generator loss at iter 6859; skipping update. +2025-10-31 17:13:00,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:00,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:00,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.09, mean=-0.3651, std=3.158, absmax=13.97 +2025-10-31 17:13:00,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=7.745, mean=-0.3531, std=2.556, absmax=11.06 +2025-10-31 17:13:00,530 ERROR: Encountered non-finite generator loss at iter 6860; skipping update. +2025-10-31 17:13:00,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:00,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:00,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:00,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:00,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.65, mean=-0.1427, std=3.44, absmax=13.65 +2025-10-31 17:13:00,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.33, mean=-0.1439, std=2.924, absmax=11.33 +2025-10-31 17:13:01,033 ERROR: Encountered non-finite generator loss at iter 6861; skipping update. +2025-10-31 17:13:01,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:01,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:01,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.67, mean=-0.2195, std=2.891, absmax=13.48 +2025-10-31 17:13:01,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.969, max=8.983, mean=-0.1644, std=2.309, absmax=9.969 +2025-10-31 17:13:01,534 ERROR: Encountered non-finite generator loss at iter 6862; skipping update. +2025-10-31 17:13:01,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:01,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:01,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:01,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:01,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.97, mean=-0.2113, std=2.488, absmax=12.18 +2025-10-31 17:13:01,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=9.374, mean=-0.2398, std=2.081, absmax=9.927 +2025-10-31 17:13:02,035 ERROR: Encountered non-finite generator loss at iter 6863; skipping update. +2025-10-31 17:13:02,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:02,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:02,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.72, mean=-0.06369, std=3.347, absmax=14.72 +2025-10-31 17:13:02,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=12.2, mean=-0.0752, std=2.648, absmax=12.2 +2025-10-31 17:13:02,537 ERROR: Encountered non-finite generator loss at iter 6864; skipping update. +2025-10-31 17:13:02,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,540 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:02,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:02,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:02,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:02,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.7, mean=-0.3399, std=3.022, absmax=13.76 +2025-10-31 17:13:02,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=9.8, mean=-0.3341, std=2.571, absmax=11.73 +2025-10-31 17:13:03,039 ERROR: Encountered non-finite generator loss at iter 6865; skipping update. +2025-10-31 17:13:03,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:03,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:03,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.47, mean=-0.1755, std=2.927, absmax=13.96 +2025-10-31 17:13:03,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.858, max=9.587, mean=-0.1772, std=2.386, absmax=9.858 +2025-10-31 17:13:03,538 ERROR: Encountered non-finite generator loss at iter 6866; skipping update. +2025-10-31 17:13:03,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:03,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:03,544 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:03,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:03,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.17, mean=0.1871, std=3.746, absmax=14.17 +2025-10-31 17:13:03,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=11.57, mean=0.09833, std=2.994, absmax=11.57 +2025-10-31 17:13:04,040 ERROR: Encountered non-finite generator loss at iter 6867; skipping update. +2025-10-31 17:13:04,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,044 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,045 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,046 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:04,047 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:04,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.23, mean=0.01072, std=2.768, absmax=12.23 +2025-10-31 17:13:04,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.02, mean=-0.11, std=2.411, absmax=10.24 +2025-10-31 17:13:04,542 ERROR: Encountered non-finite generator loss at iter 6868; skipping update. +2025-10-31 17:13:04,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:04,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:04,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:04,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:04,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=15.98, mean=-0.01786, std=3.197, absmax=15.98 +2025-10-31 17:13:04,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.836, max=14.83, mean=-0.0131, std=2.814, absmax=14.83 +2025-10-31 17:13:05,043 ERROR: Encountered non-finite generator loss at iter 6869; skipping update. +2025-10-31 17:13:05,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:05,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:05,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=15.16, mean=-0.09591, std=3.667, absmax=15.16 +2025-10-31 17:13:05,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=14.82, mean=-0.09231, std=3.327, absmax=14.82 +2025-10-31 17:13:05,544 ERROR: Encountered non-finite generator loss at iter 6870; skipping update. +2025-10-31 17:13:05,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:05,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:05,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:05,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:05,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=16.35, mean=0.02908, std=2.838, absmax=16.35 +2025-10-31 17:13:05,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.243, max=11.16, mean=-0.05856, std=2.319, absmax=11.16 +2025-10-31 17:13:06,044 ERROR: Encountered non-finite generator loss at iter 6871; skipping update. +2025-10-31 17:13:06,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:06,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:06,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.73, mean=0.08197, std=3.306, absmax=13.73 +2025-10-31 17:13:06,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.906, max=10.72, mean=0.03431, std=2.692, absmax=10.72 +2025-10-31 17:13:06,547 ERROR: Encountered non-finite generator loss at iter 6872; skipping update. +2025-10-31 17:13:06,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:06,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:06,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:06,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:06,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.58, mean=-0.1829, std=2.501, absmax=13.58 +2025-10-31 17:13:06,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.932, max=8.527, mean=-0.1788, std=2.07, absmax=8.932 +2025-10-31 17:13:07,049 ERROR: Encountered non-finite generator loss at iter 6873; skipping update. +2025-10-31 17:13:07,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:07,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:07,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=17.11, mean=-0.08849, std=3.03, absmax=17.11 +2025-10-31 17:13:07,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=9.092, mean=-0.1134, std=2.516, absmax=9.991 +2025-10-31 17:13:07,548 ERROR: Encountered non-finite generator loss at iter 6874; skipping update. +2025-10-31 17:13:07,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:07,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:07,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:07,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:07,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=10.59, mean=-0.2659, std=2.672, absmax=11.95 +2025-10-31 17:13:07,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.257, max=8.245, mean=-0.2739, std=2.276, absmax=9.257 +2025-10-31 17:13:08,048 ERROR: Encountered non-finite generator loss at iter 6875; skipping update. +2025-10-31 17:13:08,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:08,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:08,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=16.27, mean=-0.003952, std=2.969, absmax=16.27 +2025-10-31 17:13:08,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=11.92, mean=-0.006422, std=2.61, absmax=11.92 +2025-10-31 17:13:08,547 ERROR: Encountered non-finite generator loss at iter 6876; skipping update. +2025-10-31 17:13:08,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:08,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:08,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:08,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:08,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.38, mean=-0.03458, std=3.139, absmax=13.38 +2025-10-31 17:13:08,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.87, mean=-0.03467, std=2.866, absmax=12.87 +2025-10-31 17:13:09,048 ERROR: Encountered non-finite generator loss at iter 6877; skipping update. +2025-10-31 17:13:09,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:09,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:09,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.75, mean=-0.208, std=2.897, absmax=13.75 +2025-10-31 17:13:09,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.2, mean=-0.2218, std=2.451, absmax=11.51 +2025-10-31 17:13:09,549 ERROR: Encountered non-finite generator loss at iter 6878; skipping update. +2025-10-31 17:13:09,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:09,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:09,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:09,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:09,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=9.445, mean=-0.2745, std=2.713, absmax=15.36 +2025-10-31 17:13:09,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=9.564, mean=-0.2816, std=2.401, absmax=11.65 +2025-10-31 17:13:10,050 ERROR: Encountered non-finite generator loss at iter 6879; skipping update. +2025-10-31 17:13:10,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:10,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:10,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.87, mean=-0.132, std=3.292, absmax=13.87 +2025-10-31 17:13:10,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.57, mean=-0.1105, std=2.736, absmax=11.52 +2025-10-31 17:13:10,553 ERROR: Encountered non-finite generator loss at iter 6880; skipping update. +2025-10-31 17:13:10,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:10,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:10,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:10,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:10,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.21, mean=-0.3219, std=2.668, absmax=11.76 +2025-10-31 17:13:10,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.451, mean=-0.3031, std=2.36, absmax=10.33 +2025-10-31 17:13:11,053 ERROR: Encountered non-finite generator loss at iter 6881; skipping update. +2025-10-31 17:13:11,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:11,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:11,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.31, mean=-0.2195, std=2.962, absmax=12.52 +2025-10-31 17:13:11,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.74, max=7.8, mean=-0.2485, std=2.382, absmax=9.74 +2025-10-31 17:13:11,555 ERROR: Encountered non-finite generator loss at iter 6882; skipping update. +2025-10-31 17:13:11,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:11,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:11,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:11,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:11,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.62, mean=-0.1213, std=3.409, absmax=13.06 +2025-10-31 17:13:11,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.62, mean=-0.1584, std=2.861, absmax=10.87 +2025-10-31 17:13:12,056 ERROR: Encountered non-finite generator loss at iter 6883; skipping update. +2025-10-31 17:13:12,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:12,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:12,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.03, mean=-0.1069, std=3.075, absmax=14.03 +2025-10-31 17:13:12,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=10.64, mean=-0.1707, std=2.454, absmax=10.64 +2025-10-31 17:13:12,555 ERROR: Encountered non-finite generator loss at iter 6884; skipping update. +2025-10-31 17:13:12,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:12,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:12,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:12,564 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:12,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.58, mean=-0.186, std=3.023, absmax=13.58 +2025-10-31 17:13:12,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=11.56, mean=-0.1901, std=2.59, absmax=11.56 +2025-10-31 17:13:13,057 ERROR: Encountered non-finite generator loss at iter 6885; skipping update. +2025-10-31 17:13:13,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:13,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:13,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=15.89, mean=-0.1171, std=2.836, absmax=15.89 +2025-10-31 17:13:13,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=12.75, mean=-0.1274, std=2.286, absmax=12.75 +2025-10-31 17:13:13,558 ERROR: Encountered non-finite generator loss at iter 6886; skipping update. +2025-10-31 17:13:13,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:13,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:13,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:13,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:13,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=16.19, mean=0.1419, std=3.553, absmax=16.19 +2025-10-31 17:13:13,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=12.59, mean=0.06367, std=3.185, absmax=12.59 +2025-10-31 17:13:14,060 ERROR: Encountered non-finite generator loss at iter 6887; skipping update. +2025-10-31 17:13:14,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:14,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:14,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.07, mean=-0.1849, std=3.692, absmax=14.59 +2025-10-31 17:13:14,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=9.821, mean=-0.2003, std=3.041, absmax=12.2 +2025-10-31 17:13:14,562 ERROR: Encountered non-finite generator loss at iter 6888; skipping update. +2025-10-31 17:13:14,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:14,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:14,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:14,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:14,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12.88, mean=-0.1801, std=3.111, absmax=14.22 +2025-10-31 17:13:14,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=8.435, mean=-0.2095, std=2.495, absmax=11.94 +2025-10-31 17:13:15,063 ERROR: Encountered non-finite generator loss at iter 6889; skipping update. +2025-10-31 17:13:15,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,066 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:15,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:15,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=12.72, mean=-0.04988, std=3.308, absmax=15.55 +2025-10-31 17:13:15,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.71, mean=0.002965, std=2.719, absmax=11.71 +2025-10-31 17:13:15,564 ERROR: Encountered non-finite generator loss at iter 6890; skipping update. +2025-10-31 17:13:15,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:15,571 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:15,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:15,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:15,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.33, mean=0.06602, std=3.611, absmax=13.33 +2025-10-31 17:13:15,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.67, mean=0.02015, std=3.062, absmax=11.67 +2025-10-31 17:13:16,066 ERROR: Encountered non-finite generator loss at iter 6891; skipping update. +2025-10-31 17:13:16,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:16,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:16,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=18.41, mean=-0.2922, std=3.015, absmax=18.41 +2025-10-31 17:13:16,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.907, max=8.82, mean=-0.2618, std=2.413, absmax=9.907 +2025-10-31 17:13:16,565 ERROR: Encountered non-finite generator loss at iter 6892; skipping update. +2025-10-31 17:13:16,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:16,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:16,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:16,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:16,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.8, mean=-0.2143, std=3.158, absmax=12.99 +2025-10-31 17:13:16,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=10.4, mean=-0.2166, std=2.641, absmax=11.73 +2025-10-31 17:13:17,065 ERROR: Encountered non-finite generator loss at iter 6893; skipping update. +2025-10-31 17:13:17,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,070 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:17,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:17,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.27, mean=-0.1316, std=2.526, absmax=15.27 +2025-10-31 17:13:17,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.31, max=9.302, mean=-0.1448, std=2.084, absmax=9.31 +2025-10-31 17:13:17,565 ERROR: Encountered non-finite generator loss at iter 6894; skipping update. +2025-10-31 17:13:17,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:17,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:17,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:17,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:17,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.22, mean=-0.3772, std=3.092, absmax=12.87 +2025-10-31 17:13:17,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.224, mean=-0.3242, std=2.535, absmax=10.55 +2025-10-31 17:13:18,066 ERROR: Encountered non-finite generator loss at iter 6895; skipping update. +2025-10-31 17:13:18,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,069 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:18,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:18,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.85, mean=-0.3108, std=2.56, absmax=11.98 +2025-10-31 17:13:18,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=7.851, mean=-0.2892, std=2.224, absmax=10.72 +2025-10-31 17:13:18,566 ERROR: Encountered non-finite generator loss at iter 6896; skipping update. +2025-10-31 17:13:18,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,568 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:18,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:18,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:18,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:18,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.72, mean=-0.1531, std=3.699, absmax=14.09 +2025-10-31 17:13:18,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.58, max=9.666, mean=-0.16, std=3.093, absmax=12.58 +2025-10-31 17:13:19,066 ERROR: Encountered non-finite generator loss at iter 6897; skipping update. +2025-10-31 17:13:19,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:19,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:19,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12, mean=-0.183, std=3.145, absmax=13.42 +2025-10-31 17:13:19,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.25, max=8.717, mean=-0.1941, std=2.629, absmax=13.25 +2025-10-31 17:13:19,568 ERROR: Encountered non-finite generator loss at iter 6898; skipping update. +2025-10-31 17:13:19,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:19,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:19,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:19,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:19,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.38, mean=-0.3118, std=3.098, absmax=13.08 +2025-10-31 17:13:19,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.856, mean=-0.3316, std=2.519, absmax=10.08 +2025-10-31 17:13:20,068 ERROR: Encountered non-finite generator loss at iter 6899; skipping update. +2025-10-31 17:13:20,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:20,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:20,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=17.43, mean=-0.186, std=3.134, absmax=17.43 +2025-10-31 17:13:20,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=12.61, mean=-0.2298, std=2.401, absmax=12.61 +2025-10-31 17:13:20,569 ERROR: Encountered non-finite generator loss at iter 6900; skipping update. +2025-10-31 17:13:20,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:20,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:20,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:20,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:20,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.89, mean=0.01405, std=3.169, absmax=13.89 +2025-10-31 17:13:20,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=11.18, mean=-0.04154, std=2.644, absmax=11.18 +2025-10-31 17:13:20,580 INFO: [29..][epoch: 0, step: 6,900, lr:(1.500e-04,)] [eta: 1 day, 16:42:16, time (data): 0.501 (0.000)] +2025-10-31 17:13:21,072 ERROR: Encountered non-finite generator loss at iter 6901; skipping update. +2025-10-31 17:13:21,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:21,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:21,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=13.53, mean=-0.1377, std=2.716, absmax=13.53 +2025-10-31 17:13:21,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.629, max=8.866, mean=-0.1087, std=2.584, absmax=9.629 +2025-10-31 17:13:21,573 ERROR: Encountered non-finite generator loss at iter 6902; skipping update. +2025-10-31 17:13:21,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,579 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:21,580 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:21,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:21,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:21,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=11.6, mean=-0.1843, std=2.498, absmax=11.6 +2025-10-31 17:13:21,584 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.738, max=7.941, mean=-0.2276, std=2.105, absmax=8.738 +2025-10-31 17:13:22,077 ERROR: Encountered non-finite generator loss at iter 6903; skipping update. +2025-10-31 17:13:22,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:22,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:22,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=9.855, mean=-0.3007, std=2.718, absmax=11.28 +2025-10-31 17:13:22,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.03, max=7.954, mean=-0.2878, std=2.42, absmax=9.03 +2025-10-31 17:13:22,579 ERROR: Encountered non-finite generator loss at iter 6904; skipping update. +2025-10-31 17:13:22,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:22,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:22,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:22,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:22,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=11.59, mean=-0.2216, std=2.87, absmax=14.52 +2025-10-31 17:13:22,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.431, mean=-0.1863, std=2.401, absmax=10.47 +2025-10-31 17:13:23,084 ERROR: Encountered non-finite generator loss at iter 6905; skipping update. +2025-10-31 17:13:23,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:23,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:23,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.92, mean=-0.09704, std=2.889, absmax=13.92 +2025-10-31 17:13:23,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=11.15, mean=-0.1646, std=2.359, absmax=11.15 +2025-10-31 17:13:23,587 ERROR: Encountered non-finite generator loss at iter 6906; skipping update. +2025-10-31 17:13:23,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:23,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:23,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:23,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:23,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=14.58, mean=-0.06183, std=3.025, absmax=14.58 +2025-10-31 17:13:23,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=11.59, mean=-0.02988, std=2.391, absmax=11.59 +2025-10-31 17:13:24,090 ERROR: Encountered non-finite generator loss at iter 6907; skipping update. +2025-10-31 17:13:24,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:24,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:24,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.3, mean=-0.2599, std=2.665, absmax=12.3 +2025-10-31 17:13:24,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.086, max=9.221, mean=-0.1884, std=2.375, absmax=9.221 +2025-10-31 17:13:24,591 ERROR: Encountered non-finite generator loss at iter 6908; skipping update. +2025-10-31 17:13:24,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:24,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:24,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:24,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:24,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.61, mean=-0.2652, std=3.096, absmax=13.27 +2025-10-31 17:13:24,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=7.894, mean=-0.268, std=2.475, absmax=11.35 +2025-10-31 17:13:25,092 ERROR: Encountered non-finite generator loss at iter 6909; skipping update. +2025-10-31 17:13:25,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:25,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:25,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.22, mean=0.03249, std=3.314, absmax=12.87 +2025-10-31 17:13:25,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.865, mean=-0.04018, std=2.803, absmax=11.1 +2025-10-31 17:13:25,593 ERROR: Encountered non-finite generator loss at iter 6910; skipping update. +2025-10-31 17:13:25,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:25,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:25,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:25,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:25,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=18.14, mean=-0.2107, std=3.17, absmax=18.14 +2025-10-31 17:13:25,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.696, max=12.89, mean=-0.2205, std=2.481, absmax=12.89 +2025-10-31 17:13:26,095 ERROR: Encountered non-finite generator loss at iter 6911; skipping update. +2025-10-31 17:13:26,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:26,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:26,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.41, mean=-0.08903, std=2.843, absmax=13.19 +2025-10-31 17:13:26,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.388, max=10.54, mean=-0.06261, std=2.444, absmax=10.54 +2025-10-31 17:13:26,594 ERROR: Encountered non-finite generator loss at iter 6912; skipping update. +2025-10-31 17:13:26,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:26,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:26,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:26,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:26,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.46, mean=-0.297, std=2.601, absmax=12.08 +2025-10-31 17:13:26,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=8.73, mean=-0.2624, std=2.258, absmax=11.09 +2025-10-31 17:13:27,095 ERROR: Encountered non-finite generator loss at iter 6913; skipping update. +2025-10-31 17:13:27,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:27,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:27,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=15.71, mean=-0.2093, std=3.53, absmax=15.71 +2025-10-31 17:13:27,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=12.66, mean=-0.2122, std=2.935, absmax=12.66 +2025-10-31 17:13:27,594 ERROR: Encountered non-finite generator loss at iter 6914; skipping update. +2025-10-31 17:13:27,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:27,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:27,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:27,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:27,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.66, mean=-0.2479, std=2.81, absmax=15.66 +2025-10-31 17:13:27,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.18, mean=-0.2807, std=2.306, absmax=10.3 +2025-10-31 17:13:28,094 ERROR: Encountered non-finite generator loss at iter 6915; skipping update. +2025-10-31 17:13:28,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:28,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:28,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.35, max=14.31, mean=-0.3022, std=2.975, absmax=16.35 +2025-10-31 17:13:28,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.15, mean=-0.2669, std=2.469, absmax=11.13 +2025-10-31 17:13:28,594 ERROR: Encountered non-finite generator loss at iter 6916; skipping update. +2025-10-31 17:13:28,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:28,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:28,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:28,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:28,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=10.97, mean=-0.3066, std=2.903, absmax=12.65 +2025-10-31 17:13:28,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.224, max=9.72, mean=-0.3032, std=2.377, absmax=9.72 +2025-10-31 17:13:29,094 ERROR: Encountered non-finite generator loss at iter 6917; skipping update. +2025-10-31 17:13:29,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:29,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:29,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=14.56, mean=0.05815, std=3.294, absmax=14.56 +2025-10-31 17:13:29,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=14.04, mean=0.06042, std=3.006, absmax=14.04 +2025-10-31 17:13:29,594 ERROR: Encountered non-finite generator loss at iter 6918; skipping update. +2025-10-31 17:13:29,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:29,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:29,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:29,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:29,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.47, mean=-0.2787, std=3.342, absmax=12.88 +2025-10-31 17:13:29,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.89, mean=-0.2629, std=2.666, absmax=10.89 +2025-10-31 17:13:30,094 ERROR: Encountered non-finite generator loss at iter 6919; skipping update. +2025-10-31 17:13:30,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:30,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:30,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.81, mean=-0.1763, std=3.337, absmax=13.81 +2025-10-31 17:13:30,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.74, mean=-0.2258, std=2.669, absmax=10.74 +2025-10-31 17:13:30,595 ERROR: Encountered non-finite generator loss at iter 6920; skipping update. +2025-10-31 17:13:30,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:30,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:30,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:30,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:30,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.92, mean=-0.1346, std=2.777, absmax=12.92 +2025-10-31 17:13:30,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.715, max=9.527, mean=-0.09837, std=2.238, absmax=9.527 +2025-10-31 17:13:31,094 ERROR: Encountered non-finite generator loss at iter 6921; skipping update. +2025-10-31 17:13:31,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:31,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:31,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.63, mean=0.03317, std=3.573, absmax=13.63 +2025-10-31 17:13:31,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=11.62, mean=-0.01553, std=2.885, absmax=11.62 +2025-10-31 17:13:31,594 ERROR: Encountered non-finite generator loss at iter 6922; skipping update. +2025-10-31 17:13:31,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:31,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:31,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:31,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:31,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.82, mean=-0.06108, std=3.327, absmax=14.82 +2025-10-31 17:13:31,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.31, mean=-0.1366, std=2.694, absmax=10.9 +2025-10-31 17:13:32,095 ERROR: Encountered non-finite generator loss at iter 6923; skipping update. +2025-10-31 17:13:32,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:32,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:32,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=11.55, mean=-0.1961, std=2.749, absmax=11.55 +2025-10-31 17:13:32,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.471, max=8.948, mean=-0.1964, std=2.192, absmax=8.948 +2025-10-31 17:13:32,596 ERROR: Encountered non-finite generator loss at iter 6924; skipping update. +2025-10-31 17:13:32,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:32,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:32,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:32,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:32,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.48, mean=-0.04667, std=3.327, absmax=15.12 +2025-10-31 17:13:32,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.44, mean=-0.03756, std=2.791, absmax=11.44 +2025-10-31 17:13:33,096 ERROR: Encountered non-finite generator loss at iter 6925; skipping update. +2025-10-31 17:13:33,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:33,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:33,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=13.35, mean=-0.06923, std=2.921, absmax=13.35 +2025-10-31 17:13:33,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.338, max=8.753, mean=-0.04754, std=2.436, absmax=9.338 +2025-10-31 17:13:33,598 ERROR: Encountered non-finite generator loss at iter 6926; skipping update. +2025-10-31 17:13:33,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:33,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:33,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:33,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:33,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.74, mean=-0.01192, std=3.302, absmax=14.74 +2025-10-31 17:13:33,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.421, max=12.49, mean=-0.02146, std=2.758, absmax=12.49 +2025-10-31 17:13:34,100 ERROR: Encountered non-finite generator loss at iter 6927; skipping update. +2025-10-31 17:13:34,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:34,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:34,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.27, mean=0.01082, std=2.842, absmax=13.27 +2025-10-31 17:13:34,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.55, mean=-0.005559, std=2.449, absmax=10.55 +2025-10-31 17:13:34,602 ERROR: Encountered non-finite generator loss at iter 6928; skipping update. +2025-10-31 17:13:34,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:34,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:34,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:34,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:34,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.47, mean=-0.1794, std=3.093, absmax=13.47 +2025-10-31 17:13:34,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.22, mean=-0.1965, std=2.6, absmax=10.79 +2025-10-31 17:13:35,104 ERROR: Encountered non-finite generator loss at iter 6929; skipping update. +2025-10-31 17:13:35,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:35,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:35,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=14.12, mean=-0.004218, std=3.48, absmax=14.13 +2025-10-31 17:13:35,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=12.31, mean=-0.01707, std=2.89, absmax=12.31 +2025-10-31 17:13:35,604 ERROR: Encountered non-finite generator loss at iter 6930; skipping update. +2025-10-31 17:13:35,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:35,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:35,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:35,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:35,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.18, mean=0.01758, std=3.431, absmax=13.18 +2025-10-31 17:13:35,613 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.234, max=10.97, mean=-0.04853, std=2.757, absmax=10.97 +2025-10-31 17:13:36,104 ERROR: Encountered non-finite generator loss at iter 6931; skipping update. +2025-10-31 17:13:36,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:36,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:36,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.8, mean=-0.2093, std=3.378, absmax=13.85 +2025-10-31 17:13:36,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=11.23, mean=-0.2301, std=2.915, absmax=11.23 +2025-10-31 17:13:36,606 ERROR: Encountered non-finite generator loss at iter 6932; skipping update. +2025-10-31 17:13:36,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,608 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:36,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:36,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:36,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:36,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.23, mean=-0.0207, std=3.298, absmax=12.34 +2025-10-31 17:13:36,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.073, max=11.24, mean=-0.0358, std=2.728, absmax=11.24 +2025-10-31 17:13:37,106 ERROR: Encountered non-finite generator loss at iter 6933; skipping update. +2025-10-31 17:13:37,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:37,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:37,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.42, mean=-0.3274, std=3.211, absmax=14.42 +2025-10-31 17:13:37,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.323, mean=-0.303, std=2.671, absmax=10.9 +2025-10-31 17:13:37,607 ERROR: Encountered non-finite generator loss at iter 6934; skipping update. +2025-10-31 17:13:37,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:37,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:37,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:37,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:37,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.41, mean=-0.1436, std=2.87, absmax=14.02 +2025-10-31 17:13:37,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.02, mean=-0.08985, std=2.798, absmax=12.02 +2025-10-31 17:13:38,108 ERROR: Encountered non-finite generator loss at iter 6935; skipping update. +2025-10-31 17:13:38,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:38,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:38,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.31, max=14.54, mean=-0.01587, std=3.547, absmax=16.31 +2025-10-31 17:13:38,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.858, max=11.6, mean=-0.00474, std=2.982, absmax=11.6 +2025-10-31 17:13:38,611 ERROR: Encountered non-finite generator loss at iter 6936; skipping update. +2025-10-31 17:13:38,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,615 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:38,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:38,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:38,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:38,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.19, mean=-0.1676, std=3.084, absmax=13.96 +2025-10-31 17:13:38,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.697, mean=-0.159, std=2.672, absmax=10.31 +2025-10-31 17:13:39,113 ERROR: Encountered non-finite generator loss at iter 6937; skipping update. +2025-10-31 17:13:39,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:39,121 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:39,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=15.64, mean=0.04975, std=3.205, absmax=15.64 +2025-10-31 17:13:39,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.403, max=14.6, mean=0.07392, std=2.882, absmax=14.6 +2025-10-31 17:13:39,615 ERROR: Encountered non-finite generator loss at iter 6938; skipping update. +2025-10-31 17:13:39,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:39,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:39,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:39,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:39,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.07, max=14.04, mean=-0.3816, std=3.516, absmax=16.07 +2025-10-31 17:13:39,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=10.32, mean=-0.3524, std=2.996, absmax=12.77 +2025-10-31 17:13:40,115 ERROR: Encountered non-finite generator loss at iter 6939; skipping update. +2025-10-31 17:13:40,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,121 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:40,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:40,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.54, mean=-0.2329, std=2.943, absmax=13.09 +2025-10-31 17:13:40,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=9.654, mean=-0.2807, std=2.679, absmax=11.79 +2025-10-31 17:13:40,618 ERROR: Encountered non-finite generator loss at iter 6940; skipping update. +2025-10-31 17:13:40,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:40,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:40,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:40,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:40,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.03, mean=-0.08683, std=3.158, absmax=13.03 +2025-10-31 17:13:40,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.863, max=9.604, mean=-0.1065, std=2.536, absmax=9.863 +2025-10-31 17:13:41,120 ERROR: Encountered non-finite generator loss at iter 6941; skipping update. +2025-10-31 17:13:41,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,127 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:41,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:41,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.47, mean=-0.02125, std=2.81, absmax=13.68 +2025-10-31 17:13:41,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.623, mean=-0.07998, std=2.357, absmax=11.33 +2025-10-31 17:13:41,622 ERROR: Encountered non-finite generator loss at iter 6942; skipping update. +2025-10-31 17:13:41,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:41,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:41,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:41,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:41,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.58, mean=-0.02634, std=2.886, absmax=13.37 +2025-10-31 17:13:41,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.357, mean=-0.05068, std=2.316, absmax=10.45 +2025-10-31 17:13:42,123 ERROR: Encountered non-finite generator loss at iter 6943; skipping update. +2025-10-31 17:13:42,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:42,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:42,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=12.81, mean=-0.1821, std=3.227, absmax=14.71 +2025-10-31 17:13:42,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=10.44, mean=-0.2344, std=2.755, absmax=12.02 +2025-10-31 17:13:42,624 ERROR: Encountered non-finite generator loss at iter 6944; skipping update. +2025-10-31 17:13:42,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:42,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:42,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:42,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:42,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.33, mean=-0.06169, std=2.996, absmax=13.61 +2025-10-31 17:13:42,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.52, max=9.578, mean=-0.08011, std=2.521, absmax=12.52 +2025-10-31 17:13:43,126 ERROR: Encountered non-finite generator loss at iter 6945; skipping update. +2025-10-31 17:13:43,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:43,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:43,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.08, mean=0.05326, std=3.111, absmax=13.1 +2025-10-31 17:13:43,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.07, mean=0.02794, std=2.684, absmax=11.07 +2025-10-31 17:13:43,628 ERROR: Encountered non-finite generator loss at iter 6946; skipping update. +2025-10-31 17:13:43,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:43,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:43,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:43,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:43,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.51, mean=-0.1081, std=2.969, absmax=13.51 +2025-10-31 17:13:43,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=8.187, mean=-0.1527, std=2.341, absmax=9.242 +2025-10-31 17:13:44,129 ERROR: Encountered non-finite generator loss at iter 6947; skipping update. +2025-10-31 17:13:44,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:44,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:44,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.39, mean=-0.1762, std=3.143, absmax=12.39 +2025-10-31 17:13:44,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.21, max=10.81, mean=-0.1627, std=2.591, absmax=10.81 +2025-10-31 17:13:44,630 ERROR: Encountered non-finite generator loss at iter 6948; skipping update. +2025-10-31 17:13:44,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:44,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:44,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:44,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:44,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.35, mean=-0.1142, std=2.686, absmax=11.86 +2025-10-31 17:13:44,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.266, max=8.531, mean=-0.1609, std=2.151, absmax=9.266 +2025-10-31 17:13:45,129 ERROR: Encountered non-finite generator loss at iter 6949; skipping update. +2025-10-31 17:13:45,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:45,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:45,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=16.38, mean=0.02337, std=3.665, absmax=16.38 +2025-10-31 17:13:45,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.67, mean=-0.02781, std=2.958, absmax=11.67 +2025-10-31 17:13:45,630 ERROR: Encountered non-finite generator loss at iter 6950; skipping update. +2025-10-31 17:13:45,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:45,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:45,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:45,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:45,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.772, max=11.53, mean=-0.2062, std=2.296, absmax=11.53 +2025-10-31 17:13:45,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.623, max=7.828, mean=-0.2241, std=1.994, absmax=8.623 +2025-10-31 17:13:46,131 ERROR: Encountered non-finite generator loss at iter 6951; skipping update. +2025-10-31 17:13:46,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,136 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,137 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:46,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:46,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.54, mean=-0.2073, std=2.803, absmax=12.54 +2025-10-31 17:13:46,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.36, mean=-0.1928, std=2.474, absmax=10.36 +2025-10-31 17:13:46,632 ERROR: Encountered non-finite generator loss at iter 6952; skipping update. +2025-10-31 17:13:46,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:46,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:46,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:46,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:46,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.43, mean=-0.1079, std=2.785, absmax=12.43 +2025-10-31 17:13:46,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.913, mean=-0.04634, std=2.327, absmax=10.98 +2025-10-31 17:13:47,133 ERROR: Encountered non-finite generator loss at iter 6953; skipping update. +2025-10-31 17:13:47,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,135 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:47,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:47,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.52, mean=-0.05763, std=2.865, absmax=11.6 +2025-10-31 17:13:47,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.24, mean=-0.1349, std=2.713, absmax=11.66 +2025-10-31 17:13:47,634 ERROR: Encountered non-finite generator loss at iter 6954; skipping update. +2025-10-31 17:13:47,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:47,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:47,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:47,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:47,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.98, mean=-0.115, std=2.606, absmax=11.99 +2025-10-31 17:13:47,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.865, max=9.835, mean=-0.1006, std=2.244, absmax=9.865 +2025-10-31 17:13:48,135 ERROR: Encountered non-finite generator loss at iter 6955; skipping update. +2025-10-31 17:13:48,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:48,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:48,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.74, mean=-0.2376, std=2.652, absmax=13.84 +2025-10-31 17:13:48,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=8.81, mean=-0.2575, std=2.264, absmax=10.68 +2025-10-31 17:13:48,637 ERROR: Encountered non-finite generator loss at iter 6956; skipping update. +2025-10-31 17:13:48,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,642 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:48,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:48,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:48,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:48,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=11.54, mean=-0.2475, std=2.843, absmax=13.47 +2025-10-31 17:13:48,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=8.75, mean=-0.2447, std=2.393, absmax=11.27 +2025-10-31 17:13:49,138 ERROR: Encountered non-finite generator loss at iter 6957; skipping update. +2025-10-31 17:13:49,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:49,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:49,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.95, mean=-0.2214, std=3.096, absmax=13.19 +2025-10-31 17:13:49,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=11.07, mean=-0.2592, std=2.522, absmax=11.59 +2025-10-31 17:13:49,641 ERROR: Encountered non-finite generator loss at iter 6958; skipping update. +2025-10-31 17:13:49,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:49,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:49,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:49,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:49,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.03, mean=-0.1208, std=3.029, absmax=13.03 +2025-10-31 17:13:49,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.7, mean=-0.1651, std=2.557, absmax=11.7 +2025-10-31 17:13:50,142 ERROR: Encountered non-finite generator loss at iter 6959; skipping update. +2025-10-31 17:13:50,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:50,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:50,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.5, mean=-0.07442, std=3.158, absmax=14.25 +2025-10-31 17:13:50,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=10.43, mean=-0.08824, std=2.542, absmax=10.51 +2025-10-31 17:13:50,644 ERROR: Encountered non-finite generator loss at iter 6960; skipping update. +2025-10-31 17:13:50,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:50,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:50,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:50,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:50,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.96, mean=-0.1134, std=3.181, absmax=12.69 +2025-10-31 17:13:50,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.67, mean=-0.1433, std=2.657, absmax=10.08 +2025-10-31 17:13:51,143 ERROR: Encountered non-finite generator loss at iter 6961; skipping update. +2025-10-31 17:13:51,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:51,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:51,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.91, mean=-0.05002, std=3.481, absmax=14.91 +2025-10-31 17:13:51,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=10.01, mean=-0.07813, std=2.885, absmax=10.6 +2025-10-31 17:13:51,646 ERROR: Encountered non-finite generator loss at iter 6962; skipping update. +2025-10-31 17:13:51,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:51,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:51,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:51,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:51,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.29, mean=-0.3756, std=3.212, absmax=13.67 +2025-10-31 17:13:51,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.346, mean=-0.3482, std=2.922, absmax=10.88 +2025-10-31 17:13:52,148 ERROR: Encountered non-finite generator loss at iter 6963; skipping update. +2025-10-31 17:13:52,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:52,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:52,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=16.46, mean=-0.1175, std=3.342, absmax=16.46 +2025-10-31 17:13:52,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=13.62, mean=-0.1067, std=2.849, absmax=13.62 +2025-10-31 17:13:52,651 ERROR: Encountered non-finite generator loss at iter 6964; skipping update. +2025-10-31 17:13:52,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:52,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:52,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:52,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:52,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=15.4, mean=-0.2771, std=3.116, absmax=15.4 +2025-10-31 17:13:52,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=10.51, mean=-0.2636, std=2.679, absmax=12.13 +2025-10-31 17:13:53,153 ERROR: Encountered non-finite generator loss at iter 6965; skipping update. +2025-10-31 17:13:53,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:53,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:53,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=12.23, mean=-0.2729, std=2.684, absmax=12.23 +2025-10-31 17:13:53,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=9.335, mean=-0.2867, std=2.5, absmax=11.65 +2025-10-31 17:13:53,655 ERROR: Encountered non-finite generator loss at iter 6966; skipping update. +2025-10-31 17:13:53,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:53,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:53,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:53,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:53,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.39, mean=-0.334, std=3.34, absmax=13.45 +2025-10-31 17:13:53,664 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=9.25, mean=-0.3524, std=2.977, absmax=12.13 +2025-10-31 17:13:54,157 ERROR: Encountered non-finite generator loss at iter 6967; skipping update. +2025-10-31 17:13:54,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,163 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:54,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:54,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.03, max=14.36, mean=-0.1233, std=3.146, absmax=17.03 +2025-10-31 17:13:54,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.73, mean=-0.1205, std=2.505, absmax=11.73 +2025-10-31 17:13:54,659 ERROR: Encountered non-finite generator loss at iter 6968; skipping update. +2025-10-31 17:13:54,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:54,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:54,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:54,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:54,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.5, mean=-0.2529, std=3.029, absmax=13.84 +2025-10-31 17:13:54,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=10.41, mean=-0.2427, std=2.607, absmax=10.41 +2025-10-31 17:13:55,159 ERROR: Encountered non-finite generator loss at iter 6969; skipping update. +2025-10-31 17:13:55,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:55,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:55,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=13.89, mean=-0.1876, std=2.741, absmax=13.89 +2025-10-31 17:13:55,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=12.44, mean=-0.2339, std=2.622, absmax=12.44 +2025-10-31 17:13:55,661 ERROR: Encountered non-finite generator loss at iter 6970; skipping update. +2025-10-31 17:13:55,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:55,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:55,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:55,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:55,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.43, mean=-0.1115, std=3.423, absmax=14.43 +2025-10-31 17:13:55,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.58, mean=-0.1298, std=2.728, absmax=11.58 +2025-10-31 17:13:56,163 ERROR: Encountered non-finite generator loss at iter 6971; skipping update. +2025-10-31 17:13:56,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,165 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:56,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:56,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.57, mean=-0.1811, std=2.186, absmax=11.3 +2025-10-31 17:13:56,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.41, max=8.796, mean=-0.2004, std=1.948, absmax=8.796 +2025-10-31 17:13:56,665 ERROR: Encountered non-finite generator loss at iter 6972; skipping update. +2025-10-31 17:13:56,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:56,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:56,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:56,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:56,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.43, mean=-0.2075, std=2.943, absmax=12.43 +2025-10-31 17:13:56,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.494, mean=-0.2014, std=2.441, absmax=10.32 +2025-10-31 17:13:57,167 ERROR: Encountered non-finite generator loss at iter 6973; skipping update. +2025-10-31 17:13:57,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:57,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:57,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.47, mean=-0.2667, std=3.084, absmax=14.47 +2025-10-31 17:13:57,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.326, max=9.479, mean=-0.2292, std=2.472, absmax=9.479 +2025-10-31 17:13:57,670 ERROR: Encountered non-finite generator loss at iter 6974; skipping update. +2025-10-31 17:13:57,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:57,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:57,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:57,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:57,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.7, mean=0.1583, std=3.363, absmax=14.7 +2025-10-31 17:13:57,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=13.3, mean=0.1734, std=2.938, absmax=13.3 +2025-10-31 17:13:58,172 ERROR: Encountered non-finite generator loss at iter 6975; skipping update. +2025-10-31 17:13:58,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:58,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:58,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.93, mean=-0.3801, std=2.969, absmax=12.93 +2025-10-31 17:13:58,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=7.749, mean=-0.3636, std=2.435, absmax=10.12 +2025-10-31 17:13:58,674 ERROR: Encountered non-finite generator loss at iter 6976; skipping update. +2025-10-31 17:13:58,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:58,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:58,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:58,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:58,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.27, mean=-0.1957, std=3.027, absmax=12.38 +2025-10-31 17:13:58,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.982, mean=-0.217, std=2.488, absmax=10.29 +2025-10-31 17:13:59,177 ERROR: Encountered non-finite generator loss at iter 6977; skipping update. +2025-10-31 17:13:59,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:59,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:59,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.78, mean=-0.1188, std=3.184, absmax=13.54 +2025-10-31 17:13:59,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.92, max=9.677, mean=-0.122, std=2.784, absmax=12.92 +2025-10-31 17:13:59,681 ERROR: Encountered non-finite generator loss at iter 6978; skipping update. +2025-10-31 17:13:59,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:13:59,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:13:59,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:13:59,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:13:59,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.48, mean=-0.2536, std=2.868, absmax=12.85 +2025-10-31 17:13:59,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.833, max=9.804, mean=-0.2337, std=2.468, absmax=9.833 +2025-10-31 17:14:00,185 ERROR: Encountered non-finite generator loss at iter 6979; skipping update. +2025-10-31 17:14:00,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:00,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:00,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.21, mean=-0.123, std=3.345, absmax=14.21 +2025-10-31 17:14:00,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=10.77, mean=-0.1321, std=2.847, absmax=12.11 +2025-10-31 17:14:00,688 ERROR: Encountered non-finite generator loss at iter 6980; skipping update. +2025-10-31 17:14:00,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:00,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:00,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:00,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:00,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.26, max=12.95, mean=-0.2054, std=2.331, absmax=12.95 +2025-10-31 17:14:00,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.905, max=8.388, mean=-0.2345, std=1.949, absmax=8.905 +2025-10-31 17:14:01,192 ERROR: Encountered non-finite generator loss at iter 6981; skipping update. +2025-10-31 17:14:01,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:01,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:01,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.76, mean=-0.02929, std=2.969, absmax=11.95 +2025-10-31 17:14:01,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.124, max=10.6, mean=0.05745, std=2.7, absmax=10.6 +2025-10-31 17:14:01,694 ERROR: Encountered non-finite generator loss at iter 6982; skipping update. +2025-10-31 17:14:01,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:01,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:01,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:01,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:01,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.05, mean=-0.06915, std=3.533, absmax=14.65 +2025-10-31 17:14:01,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.18, max=11.01, mean=-0.05973, std=3.089, absmax=14.18 +2025-10-31 17:14:02,198 ERROR: Encountered non-finite generator loss at iter 6983; skipping update. +2025-10-31 17:14:02,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:02,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:02,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.48, mean=-0.3325, std=3.074, absmax=14.48 +2025-10-31 17:14:02,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=10.27, mean=-0.2818, std=2.437, absmax=10.27 +2025-10-31 17:14:02,702 ERROR: Encountered non-finite generator loss at iter 6984; skipping update. +2025-10-31 17:14:02,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:02,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:02,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:02,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:02,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.87, mean=-0.1, std=2.971, absmax=14.31 +2025-10-31 17:14:02,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=9.115, mean=-0.1123, std=2.443, absmax=9.927 +2025-10-31 17:14:03,206 ERROR: Encountered non-finite generator loss at iter 6985; skipping update. +2025-10-31 17:14:03,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:03,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:03,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=13.03, mean=-0.08992, std=2.815, absmax=14.21 +2025-10-31 17:14:03,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=10.34, mean=-0.08865, std=2.459, absmax=10.82 +2025-10-31 17:14:03,710 ERROR: Encountered non-finite generator loss at iter 6986; skipping update. +2025-10-31 17:14:03,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:03,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:03,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:03,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:03,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.59, mean=-0.07721, std=3.207, absmax=15.59 +2025-10-31 17:14:03,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=13.66, mean=-0.1029, std=2.588, absmax=13.66 +2025-10-31 17:14:04,214 ERROR: Encountered non-finite generator loss at iter 6987; skipping update. +2025-10-31 17:14:04,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:04,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:04,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=12.28, mean=-0.1957, std=2.992, absmax=14.92 +2025-10-31 17:14:04,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=10.12, mean=-0.1373, std=2.503, absmax=12.12 +2025-10-31 17:14:04,717 ERROR: Encountered non-finite generator loss at iter 6988; skipping update. +2025-10-31 17:14:04,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:04,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:04,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:04,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:04,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.53, mean=-0.1702, std=2.843, absmax=13.53 +2025-10-31 17:14:04,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=11.5, mean=-0.1961, std=2.447, absmax=11.5 +2025-10-31 17:14:05,221 ERROR: Encountered non-finite generator loss at iter 6989; skipping update. +2025-10-31 17:14:05,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:05,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:05,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.6, mean=-0.2264, std=3.265, absmax=12.91 +2025-10-31 17:14:05,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.06, mean=-0.2161, std=2.764, absmax=11.16 +2025-10-31 17:14:05,724 ERROR: Encountered non-finite generator loss at iter 6990; skipping update. +2025-10-31 17:14:05,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,728 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:05,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:05,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:05,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:05,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.56, mean=-0.1074, std=2.709, absmax=12.56 +2025-10-31 17:14:05,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=9.15, mean=-0.08988, std=2.343, absmax=9.569 +2025-10-31 17:14:06,227 ERROR: Encountered non-finite generator loss at iter 6991; skipping update. +2025-10-31 17:14:06,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:06,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:06,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.67, mean=-0.3086, std=2.956, absmax=12.67 +2025-10-31 17:14:06,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=8.744, mean=-0.3076, std=2.445, absmax=10.28 +2025-10-31 17:14:06,731 ERROR: Encountered non-finite generator loss at iter 6992; skipping update. +2025-10-31 17:14:06,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:06,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:06,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:06,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:06,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.76, mean=-0.1516, std=3.224, absmax=13.75 +2025-10-31 17:14:06,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.59, mean=-0.1936, std=2.667, absmax=11.25 +2025-10-31 17:14:07,234 ERROR: Encountered non-finite generator loss at iter 6993; skipping update. +2025-10-31 17:14:07,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:07,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:07,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=12.83, mean=-0.3944, std=3.424, absmax=14.93 +2025-10-31 17:14:07,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.83, max=9.889, mean=-0.3133, std=2.819, absmax=12.83 +2025-10-31 17:14:07,740 ERROR: Encountered non-finite generator loss at iter 6994; skipping update. +2025-10-31 17:14:07,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,743 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:07,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:07,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:07,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:07,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.48, mean=-0.1028, std=2.647, absmax=13.33 +2025-10-31 17:14:07,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=9.467, mean=-0.1171, std=2.236, absmax=9.508 +2025-10-31 17:14:08,245 ERROR: Encountered non-finite generator loss at iter 6995; skipping update. +2025-10-31 17:14:08,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,249 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,250 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,251 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:08,254 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:08,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.49, mean=-0.2408, std=2.727, absmax=12.07 +2025-10-31 17:14:08,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.647, max=9.514, mean=-0.2658, std=2.43, absmax=9.647 +2025-10-31 17:14:08,750 ERROR: Encountered non-finite generator loss at iter 6996; skipping update. +2025-10-31 17:14:08,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:08,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:08,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:08,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:08,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.3, mean=-0.132, std=3.46, absmax=13.47 +2025-10-31 17:14:08,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=11.94, mean=-0.1154, std=2.876, absmax=12.08 +2025-10-31 17:14:09,253 ERROR: Encountered non-finite generator loss at iter 6997; skipping update. +2025-10-31 17:14:09,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:09,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:09,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=14.26, mean=-0.2571, std=3.396, absmax=15.25 +2025-10-31 17:14:09,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.52, max=11.62, mean=-0.2248, std=2.852, absmax=13.52 +2025-10-31 17:14:09,756 ERROR: Encountered non-finite generator loss at iter 6998; skipping update. +2025-10-31 17:14:09,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:09,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:09,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:09,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:09,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=13.02, mean=-0.2212, std=3.02, absmax=14.01 +2025-10-31 17:14:09,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.571, mean=-0.2121, std=2.464, absmax=11.16 +2025-10-31 17:14:10,259 ERROR: Encountered non-finite generator loss at iter 6999; skipping update. +2025-10-31 17:14:10,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:10,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:10,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.88, mean=-0.03307, std=2.764, absmax=13.88 +2025-10-31 17:14:10,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.801, max=8.619, mean=-0.0623, std=2.253, absmax=9.801 +2025-10-31 17:14:10,761 ERROR: Encountered non-finite generator loss at iter 7000; skipping update. +2025-10-31 17:14:10,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:10,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:10,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:10,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:10,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=10.75, mean=-0.2577, std=2.986, absmax=13.47 +2025-10-31 17:14:10,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.323, mean=-0.2477, std=2.544, absmax=10.28 +2025-10-31 17:14:10,772 INFO: [29..][epoch: 0, step: 7,000, lr:(1.500e-04,)] [eta: 1 day, 16:35:25, time (data): 0.502 (0.000)] +2025-10-31 17:14:11,265 ERROR: Encountered non-finite generator loss at iter 7001; skipping update. +2025-10-31 17:14:11,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:11,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:11,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=15.08, mean=-0.2576, std=2.722, absmax=15.08 +2025-10-31 17:14:11,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.632, max=9.346, mean=-0.2333, std=2.24, absmax=9.346 +2025-10-31 17:14:11,766 ERROR: Encountered non-finite generator loss at iter 7002; skipping update. +2025-10-31 17:14:11,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:11,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:11,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:11,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:11,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.13, mean=-0.1654, std=2.798, absmax=13.13 +2025-10-31 17:14:11,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.132, max=8.468, mean=-0.1825, std=2.271, absmax=9.132 +2025-10-31 17:14:12,270 ERROR: Encountered non-finite generator loss at iter 7003; skipping update. +2025-10-31 17:14:12,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,273 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,276 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,277 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:12,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:12,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.47, mean=-0.1425, std=2.748, absmax=11.95 +2025-10-31 17:14:12,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=8.545, mean=-0.1729, std=2.274, absmax=10.32 +2025-10-31 17:14:12,774 ERROR: Encountered non-finite generator loss at iter 7004; skipping update. +2025-10-31 17:14:12,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,777 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:12,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:12,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:12,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:12,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.54, mean=-0.2162, std=2.63, absmax=12.17 +2025-10-31 17:14:12,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.459, mean=-0.2364, std=2.222, absmax=10.54 +2025-10-31 17:14:13,275 ERROR: Encountered non-finite generator loss at iter 7005; skipping update. +2025-10-31 17:14:13,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,280 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,281 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:13,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:13,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.91, mean=-0.1192, std=3.004, absmax=13.17 +2025-10-31 17:14:13,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.723, max=9.255, mean=-0.1329, std=2.511, absmax=9.723 +2025-10-31 17:14:13,778 ERROR: Encountered non-finite generator loss at iter 7006; skipping update. +2025-10-31 17:14:13,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:13,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:13,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:13,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:13,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.18, mean=-0.2812, std=3.216, absmax=14.18 +2025-10-31 17:14:13,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.44, mean=-0.2523, std=2.601, absmax=10.44 +2025-10-31 17:14:14,284 ERROR: Encountered non-finite generator loss at iter 7007; skipping update. +2025-10-31 17:14:14,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:14,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:14,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=15, mean=-0.2349, std=3.463, absmax=15 +2025-10-31 17:14:14,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13, max=9.459, mean=-0.229, std=2.95, absmax=13 +2025-10-31 17:14:14,790 ERROR: Encountered non-finite generator loss at iter 7008; skipping update. +2025-10-31 17:14:14,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:14,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:14,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:14,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:14,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.8, mean=-0.1641, std=3.282, absmax=13.19 +2025-10-31 17:14:14,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.71, mean=-0.1453, std=2.746, absmax=10.71 +2025-10-31 17:14:15,294 ERROR: Encountered non-finite generator loss at iter 7009; skipping update. +2025-10-31 17:14:15,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,298 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:15,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:15,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.09, mean=-0.2362, std=2.51, absmax=13.09 +2025-10-31 17:14:15,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.866, max=9.981, mean=-0.219, std=2.286, absmax=9.981 +2025-10-31 17:14:15,799 ERROR: Encountered non-finite generator loss at iter 7010; skipping update. +2025-10-31 17:14:15,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:15,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:15,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:15,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:15,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.94, mean=-0.2805, std=2.833, absmax=13.08 +2025-10-31 17:14:15,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.22, max=9.47, mean=-0.2804, std=2.492, absmax=12.22 +2025-10-31 17:14:16,303 ERROR: Encountered non-finite generator loss at iter 7011; skipping update. +2025-10-31 17:14:16,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,307 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:16,310 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:16,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.47, mean=-0.2451, std=2.892, absmax=13.47 +2025-10-31 17:14:16,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.327, max=9.121, mean=-0.1726, std=2.432, absmax=9.327 +2025-10-31 17:14:16,805 ERROR: Encountered non-finite generator loss at iter 7012; skipping update. +2025-10-31 17:14:16,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:16,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:16,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:16,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:16,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.43, mean=-0.1821, std=2.943, absmax=13.43 +2025-10-31 17:14:16,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.456, max=10.48, mean=-0.1841, std=2.603, absmax=10.48 +2025-10-31 17:14:17,310 ERROR: Encountered non-finite generator loss at iter 7013; skipping update. +2025-10-31 17:14:17,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:17,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:17,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=10.99, mean=-0.4511, std=4.157, absmax=14.67 +2025-10-31 17:14:17,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.2, max=9.761, mean=-0.3775, std=3.609, absmax=13.2 +2025-10-31 17:14:17,812 ERROR: Encountered non-finite generator loss at iter 7014; skipping update. +2025-10-31 17:14:17,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:17,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:17,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:17,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:17,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.34, mean=-0.2389, std=3.191, absmax=13.34 +2025-10-31 17:14:17,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.404, mean=-0.2426, std=2.562, absmax=10.33 +2025-10-31 17:14:18,316 ERROR: Encountered non-finite generator loss at iter 7015; skipping update. +2025-10-31 17:14:18,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:18,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:18,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.22, mean=-0.1987, std=3.317, absmax=13.22 +2025-10-31 17:14:18,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=12.06, mean=-0.152, std=2.814, absmax=12.06 +2025-10-31 17:14:18,819 ERROR: Encountered non-finite generator loss at iter 7016; skipping update. +2025-10-31 17:14:18,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,822 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:18,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:18,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:18,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:18,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.49, mean=-0.07164, std=3.176, absmax=13.49 +2025-10-31 17:14:18,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.71, mean=-0.0975, std=2.694, absmax=11.71 +2025-10-31 17:14:19,323 ERROR: Encountered non-finite generator loss at iter 7017; skipping update. +2025-10-31 17:14:19,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:19,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:19,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.06, mean=-0.288, std=2.882, absmax=13.43 +2025-10-31 17:14:19,331 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.466, mean=-0.269, std=2.452, absmax=10.3 +2025-10-31 17:14:19,825 ERROR: Encountered non-finite generator loss at iter 7018; skipping update. +2025-10-31 17:14:19,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:19,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:19,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:19,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:19,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.41, mean=-0.1098, std=3.291, absmax=13.41 +2025-10-31 17:14:19,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.832, max=10.87, mean=-0.09531, std=2.586, absmax=10.87 +2025-10-31 17:14:20,331 ERROR: Encountered non-finite generator loss at iter 7019; skipping update. +2025-10-31 17:14:20,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:20,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:20,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=10.42, mean=-0.2894, std=2.829, absmax=12.51 +2025-10-31 17:14:20,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=7.736, mean=-0.3285, std=2.384, absmax=10.35 +2025-10-31 17:14:20,836 ERROR: Encountered non-finite generator loss at iter 7020; skipping update. +2025-10-31 17:14:20,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:20,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:20,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:20,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:20,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=13.77, mean=-0.2972, std=3.323, absmax=14.32 +2025-10-31 17:14:20,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.313, mean=-0.2836, std=2.882, absmax=11.19 +2025-10-31 17:14:21,341 ERROR: Encountered non-finite generator loss at iter 7021; skipping update. +2025-10-31 17:14:21,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:21,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:21,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.3, mean=-0.2872, std=2.575, absmax=12.38 +2025-10-31 17:14:21,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=8.243, mean=-0.2518, std=2.229, absmax=11.3 +2025-10-31 17:14:21,842 ERROR: Encountered non-finite generator loss at iter 7022; skipping update. +2025-10-31 17:14:21,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:21,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:21,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:21,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:21,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=15.45, mean=-0.182, std=3.392, absmax=15.45 +2025-10-31 17:14:21,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.45, mean=-0.1851, std=2.699, absmax=11.53 +2025-10-31 17:14:22,346 ERROR: Encountered non-finite generator loss at iter 7023; skipping update. +2025-10-31 17:14:22,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:22,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:22,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=16.64, mean=-0.2843, std=2.981, absmax=16.64 +2025-10-31 17:14:22,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.73, max=11.98, mean=-0.2585, std=2.549, absmax=12.73 +2025-10-31 17:14:22,849 ERROR: Encountered non-finite generator loss at iter 7024; skipping update. +2025-10-31 17:14:22,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:22,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:22,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:22,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:22,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.84, mean=-0.2351, std=3.559, absmax=14.84 +2025-10-31 17:14:22,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=10.77, mean=-0.3027, std=3.017, absmax=11.34 +2025-10-31 17:14:23,352 ERROR: Encountered non-finite generator loss at iter 7025; skipping update. +2025-10-31 17:14:23,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,355 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:23,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:23,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.06, mean=-0.0564, std=2.756, absmax=12.38 +2025-10-31 17:14:23,362 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.366, max=10.31, mean=-0.04413, std=2.219, absmax=10.31 +2025-10-31 17:14:23,857 ERROR: Encountered non-finite generator loss at iter 7026; skipping update. +2025-10-31 17:14:23,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,861 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:23,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:23,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:23,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:23,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=11.8, mean=-0.3883, std=3.02, absmax=14.32 +2025-10-31 17:14:23,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.273, mean=-0.3664, std=2.488, absmax=10.57 +2025-10-31 17:14:24,361 ERROR: Encountered non-finite generator loss at iter 7027; skipping update. +2025-10-31 17:14:24,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,366 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:24,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:24,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.04, mean=-0.1467, std=3.273, absmax=12.58 +2025-10-31 17:14:24,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.518, max=9.206, mean=-0.1226, std=2.462, absmax=9.518 +2025-10-31 17:14:24,864 ERROR: Encountered non-finite generator loss at iter 7028; skipping update. +2025-10-31 17:14:24,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:24,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:24,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:24,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:24,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.34, mean=-0.1131, std=3.009, absmax=12.34 +2025-10-31 17:14:24,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=9.886, mean=-0.1221, std=2.679, absmax=10.71 +2025-10-31 17:14:25,366 ERROR: Encountered non-finite generator loss at iter 7029; skipping update. +2025-10-31 17:14:25,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:25,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:25,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.91, max=13.42, mean=-0.08816, std=3.468, absmax=15.91 +2025-10-31 17:14:25,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.63, max=10.23, mean=-0.1148, std=2.865, absmax=14.63 +2025-10-31 17:14:25,871 ERROR: Encountered non-finite generator loss at iter 7030; skipping update. +2025-10-31 17:14:25,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:25,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:25,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:25,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:25,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.49, mean=-0.2727, std=3.596, absmax=14.49 +2025-10-31 17:14:25,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=11.96, mean=-0.2813, std=3.039, absmax=11.96 +2025-10-31 17:14:26,374 ERROR: Encountered non-finite generator loss at iter 7031; skipping update. +2025-10-31 17:14:26,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:26,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:26,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.22, mean=-0.2039, std=2.663, absmax=12.22 +2025-10-31 17:14:26,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.106, mean=-0.2495, std=2.276, absmax=10.75 +2025-10-31 17:14:26,876 ERROR: Encountered non-finite generator loss at iter 7032; skipping update. +2025-10-31 17:14:26,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:26,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:26,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:26,883 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:26,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.08, mean=-0.1484, std=3.141, absmax=13.76 +2025-10-31 17:14:26,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.499, mean=-0.1989, std=2.532, absmax=10.35 +2025-10-31 17:14:27,380 ERROR: Encountered non-finite generator loss at iter 7033; skipping update. +2025-10-31 17:14:27,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,383 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:27,387 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:27,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=20.2, mean=-0.08517, std=3.335, absmax=20.2 +2025-10-31 17:14:27,389 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.435, max=13.89, mean=-0.05747, std=2.922, absmax=13.89 +2025-10-31 17:14:27,884 ERROR: Encountered non-finite generator loss at iter 7034; skipping update. +2025-10-31 17:14:27,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:27,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:27,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:27,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:27,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=13.41, mean=-0.01459, std=2.945, absmax=13.41 +2025-10-31 17:14:27,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.958, max=9.952, mean=-0.06703, std=2.376, absmax=9.952 +2025-10-31 17:14:28,389 ERROR: Encountered non-finite generator loss at iter 7035; skipping update. +2025-10-31 17:14:28,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,392 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:28,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:28,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.67, mean=-0.2601, std=3.365, absmax=13.62 +2025-10-31 17:14:28,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=8.543, mean=-0.2558, std=2.753, absmax=11.25 +2025-10-31 17:14:28,893 ERROR: Encountered non-finite generator loss at iter 7036; skipping update. +2025-10-31 17:14:28,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,897 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:28,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:28,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:28,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:28,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.13, mean=-0.211, std=2.953, absmax=13.13 +2025-10-31 17:14:28,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.804, mean=-0.2174, std=2.345, absmax=10.05 +2025-10-31 17:14:29,397 ERROR: Encountered non-finite generator loss at iter 7037; skipping update. +2025-10-31 17:14:29,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:29,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:29,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.03, mean=-0.03, std=3.383, absmax=14.03 +2025-10-31 17:14:29,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.625, max=11.13, mean=-0.05438, std=2.602, absmax=11.13 +2025-10-31 17:14:29,900 ERROR: Encountered non-finite generator loss at iter 7038; skipping update. +2025-10-31 17:14:29,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:29,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:29,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:29,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:29,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.19, mean=-0.2946, std=2.847, absmax=12.7 +2025-10-31 17:14:29,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=8.213, mean=-0.2463, std=2.421, absmax=9.7 +2025-10-31 17:14:30,403 ERROR: Encountered non-finite generator loss at iter 7039; skipping update. +2025-10-31 17:14:30,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,406 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:30,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:30,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.96, mean=-0.199, std=2.807, absmax=12.7 +2025-10-31 17:14:30,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.256, max=9.642, mean=-0.1707, std=2.289, absmax=9.642 +2025-10-31 17:14:30,907 ERROR: Encountered non-finite generator loss at iter 7040; skipping update. +2025-10-31 17:14:30,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:30,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:30,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:30,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:30,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=10.75, mean=-0.1265, std=3.12, absmax=12.24 +2025-10-31 17:14:30,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.381, mean=-0.1222, std=2.61, absmax=10.66 +2025-10-31 17:14:31,408 ERROR: Encountered non-finite generator loss at iter 7041; skipping update. +2025-10-31 17:14:31,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:31,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:31,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=15.9, mean=-0.2202, std=3.046, absmax=15.9 +2025-10-31 17:14:31,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.21, mean=-0.2213, std=2.504, absmax=11.21 +2025-10-31 17:14:31,912 ERROR: Encountered non-finite generator loss at iter 7042; skipping update. +2025-10-31 17:14:31,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:31,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:31,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:31,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:31,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=14.35, mean=0.1327, std=3.271, absmax=14.35 +2025-10-31 17:14:31,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=11.42, mean=0.05498, std=2.773, absmax=11.42 +2025-10-31 17:14:32,414 ERROR: Encountered non-finite generator loss at iter 7043; skipping update. +2025-10-31 17:14:32,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,416 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,416 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:32,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:32,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.18, mean=-0.203, std=2.768, absmax=13.12 +2025-10-31 17:14:32,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.929, mean=-0.212, std=2.526, absmax=10.78 +2025-10-31 17:14:32,917 ERROR: Encountered non-finite generator loss at iter 7044; skipping update. +2025-10-31 17:14:32,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,919 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,919 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:32,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:32,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:32,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:32,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.78, mean=-0.2368, std=2.604, absmax=12.78 +2025-10-31 17:14:32,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.194, max=9.694, mean=-0.2609, std=2.125, absmax=9.694 +2025-10-31 17:14:33,419 ERROR: Encountered non-finite generator loss at iter 7045; skipping update. +2025-10-31 17:14:33,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:33,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:33,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.5, mean=-0.05606, std=3.469, absmax=13.5 +2025-10-31 17:14:33,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.024, max=11.11, mean=-0.0548, std=2.854, absmax=11.11 +2025-10-31 17:14:33,923 ERROR: Encountered non-finite generator loss at iter 7046; skipping update. +2025-10-31 17:14:33,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:33,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:33,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:33,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:33,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.28, mean=-0.4929, std=3.81, absmax=13.87 +2025-10-31 17:14:33,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.79, max=9.96, mean=-0.4731, std=3.424, absmax=12.79 +2025-10-31 17:14:34,427 ERROR: Encountered non-finite generator loss at iter 7047; skipping update. +2025-10-31 17:14:34,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:34,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:34,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12.09, mean=-0.2334, std=2.752, absmax=14.49 +2025-10-31 17:14:34,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.965, mean=-0.2339, std=2.197, absmax=10.3 +2025-10-31 17:14:34,931 ERROR: Encountered non-finite generator loss at iter 7048; skipping update. +2025-10-31 17:14:34,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:34,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:34,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:34,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:34,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.68, mean=-0.0576, std=2.803, absmax=13.04 +2025-10-31 17:14:34,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.876, max=10.56, mean=-0.06735, std=2.363, absmax=10.56 +2025-10-31 17:14:35,433 ERROR: Encountered non-finite generator loss at iter 7049; skipping update. +2025-10-31 17:14:35,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:35,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:35,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=11.87, mean=-0.2155, std=3.082, absmax=13.64 +2025-10-31 17:14:35,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=8.653, mean=-0.2458, std=2.643, absmax=12.17 +2025-10-31 17:14:35,935 ERROR: Encountered non-finite generator loss at iter 7050; skipping update. +2025-10-31 17:14:35,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:35,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:35,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:35,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:35,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.62, mean=-0.315, std=2.771, absmax=14.22 +2025-10-31 17:14:35,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.123, mean=-0.3142, std=2.35, absmax=10.71 +2025-10-31 17:14:36,440 ERROR: Encountered non-finite generator loss at iter 7051; skipping update. +2025-10-31 17:14:36,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:36,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:36,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.27, max=10.48, mean=-0.05617, std=2.387, absmax=10.48 +2025-10-31 17:14:36,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=8.699, mean=-0.09071, std=2.22, absmax=10.53 +2025-10-31 17:14:36,944 ERROR: Encountered non-finite generator loss at iter 7052; skipping update. +2025-10-31 17:14:36,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:36,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:36,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:36,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:36,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=20.1, mean=-0.2925, std=3.123, absmax=20.1 +2025-10-31 17:14:36,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=10.41, mean=-0.229, std=2.569, absmax=13.26 +2025-10-31 17:14:37,448 ERROR: Encountered non-finite generator loss at iter 7053; skipping update. +2025-10-31 17:14:37,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:37,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:37,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.76, mean=0.04531, std=2.844, absmax=12.76 +2025-10-31 17:14:37,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=12.17, mean=0.06073, std=2.506, absmax=12.17 +2025-10-31 17:14:37,952 ERROR: Encountered non-finite generator loss at iter 7054; skipping update. +2025-10-31 17:14:37,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:37,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:37,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:37,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:37,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=16.01, mean=-0.3077, std=3.234, absmax=16.01 +2025-10-31 17:14:37,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=11.82, mean=-0.2902, std=2.7, absmax=11.82 +2025-10-31 17:14:38,456 ERROR: Encountered non-finite generator loss at iter 7055; skipping update. +2025-10-31 17:14:38,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:38,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:38,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.69, mean=-0.1506, std=3.059, absmax=13.69 +2025-10-31 17:14:38,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.944, mean=-0.1924, std=2.49, absmax=10.2 +2025-10-31 17:14:38,959 ERROR: Encountered non-finite generator loss at iter 7056; skipping update. +2025-10-31 17:14:38,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:38,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:38,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:38,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:38,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.68, mean=-0.1488, std=2.684, absmax=12.68 +2025-10-31 17:14:38,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.6, mean=-0.1793, std=2.417, absmax=10.6 +2025-10-31 17:14:39,462 ERROR: Encountered non-finite generator loss at iter 7057; skipping update. +2025-10-31 17:14:39,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:39,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:39,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.74, mean=-0.07638, std=2.929, absmax=14.74 +2025-10-31 17:14:39,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=12.56, mean=-0.0116, std=2.581, absmax=12.56 +2025-10-31 17:14:39,965 ERROR: Encountered non-finite generator loss at iter 7058; skipping update. +2025-10-31 17:14:39,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:39,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:39,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:39,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:39,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=15.25, mean=-0.02421, std=2.955, absmax=15.25 +2025-10-31 17:14:39,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=11.36, mean=-0.01602, std=2.357, absmax=11.36 +2025-10-31 17:14:40,467 ERROR: Encountered non-finite generator loss at iter 7059; skipping update. +2025-10-31 17:14:40,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:40,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:40,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=16.09, mean=0.1644, std=3.441, absmax=16.09 +2025-10-31 17:14:40,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=13.65, mean=0.1374, std=3, absmax=13.65 +2025-10-31 17:14:40,968 ERROR: Encountered non-finite generator loss at iter 7060; skipping update. +2025-10-31 17:14:40,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,972 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:40,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:40,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:40,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:40,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.65, mean=-0.1925, std=2.469, absmax=12.65 +2025-10-31 17:14:40,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.059, max=7.737, mean=-0.1927, std=2.117, absmax=9.059 +2025-10-31 17:14:41,470 ERROR: Encountered non-finite generator loss at iter 7061; skipping update. +2025-10-31 17:14:41,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,474 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:41,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:41,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=10.4, mean=-0.2928, std=3.167, absmax=13.5 +2025-10-31 17:14:41,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=7.506, mean=-0.2894, std=2.454, absmax=10.78 +2025-10-31 17:14:41,972 ERROR: Encountered non-finite generator loss at iter 7062; skipping update. +2025-10-31 17:14:41,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:41,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:41,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:41,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:41,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.46, mean=-0.2859, std=3.345, absmax=13.29 +2025-10-31 17:14:41,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.07, mean=-0.2707, std=2.849, absmax=11.66 +2025-10-31 17:14:42,473 ERROR: Encountered non-finite generator loss at iter 7063; skipping update. +2025-10-31 17:14:42,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:42,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:42,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.66, mean=-0.2953, std=3.172, absmax=13.66 +2025-10-31 17:14:42,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=9.458, mean=-0.319, std=2.628, absmax=11.24 +2025-10-31 17:14:42,974 ERROR: Encountered non-finite generator loss at iter 7064; skipping update. +2025-10-31 17:14:42,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:42,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:42,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:42,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:42,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.37, mean=-0.2455, std=3.323, absmax=13.37 +2025-10-31 17:14:42,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.42, mean=-0.2333, std=2.788, absmax=10.42 +2025-10-31 17:14:43,478 ERROR: Encountered non-finite generator loss at iter 7065; skipping update. +2025-10-31 17:14:43,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:43,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:43,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.25, mean=-0.3438, std=2.949, absmax=13.25 +2025-10-31 17:14:43,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.136, max=7.653, mean=-0.2788, std=2.331, absmax=9.136 +2025-10-31 17:14:43,982 ERROR: Encountered non-finite generator loss at iter 7066; skipping update. +2025-10-31 17:14:43,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:43,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:43,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:43,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:43,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.8, mean=-0.1453, std=2.655, absmax=15.8 +2025-10-31 17:14:43,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.779, max=11.69, mean=-0.1765, std=2.258, absmax=11.69 +2025-10-31 17:14:44,485 ERROR: Encountered non-finite generator loss at iter 7067; skipping update. +2025-10-31 17:14:44,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:44,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:44,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.9, max=13.01, mean=0.01609, std=3.081, absmax=15.9 +2025-10-31 17:14:44,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.612, max=11.22, mean=-0.03107, std=2.407, absmax=11.22 +2025-10-31 17:14:44,990 ERROR: Encountered non-finite generator loss at iter 7068; skipping update. +2025-10-31 17:14:44,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:44,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:44,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:44,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:44,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.76, mean=-0.06322, std=3.092, absmax=12.76 +2025-10-31 17:14:45,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.04, mean=-0.098, std=2.595, absmax=10.04 +2025-10-31 17:14:45,494 ERROR: Encountered non-finite generator loss at iter 7069; skipping update. +2025-10-31 17:14:45,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:45,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:45,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:45,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:45,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:45,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:45,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:45,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:45,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.95, mean=0.1031, std=3.66, absmax=13.95 +2025-10-31 17:14:45,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=11.07, mean=0.05866, std=2.963, absmax=11.07 +2025-10-31 17:14:45,997 ERROR: Encountered non-finite generator loss at iter 7070; skipping update. +2025-10-31 17:14:45,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:45,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:46,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:46,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:46,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:46,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.87, mean=-0.1062, std=2.879, absmax=14.87 +2025-10-31 17:14:46,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.62, mean=-0.07645, std=2.468, absmax=10.62 +2025-10-31 17:14:46,501 ERROR: Encountered non-finite generator loss at iter 7071; skipping update. +2025-10-31 17:14:46,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:46,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:46,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:46,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:46,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:46,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:46,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.53, mean=-0.2602, std=3.1, absmax=12.95 +2025-10-31 17:14:46,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.676, mean=-0.2823, std=2.532, absmax=10.15 +2025-10-31 17:14:47,004 ERROR: Encountered non-finite generator loss at iter 7072; skipping update. +2025-10-31 17:14:47,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:47,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:47,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.19, max=10.58, mean=-0.01309, std=2.448, absmax=10.58 +2025-10-31 17:14:47,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.866, max=8.403, mean=-0.03396, std=2.158, absmax=8.403 +2025-10-31 17:14:47,509 ERROR: Encountered non-finite generator loss at iter 7073; skipping update. +2025-10-31 17:14:47,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,512 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:47,514 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:47,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:47,516 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:47,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.11, mean=-0.2251, std=2.74, absmax=12.93 +2025-10-31 17:14:47,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.02, mean=-0.2451, std=2.284, absmax=10.09 +2025-10-31 17:14:48,010 ERROR: Encountered non-finite generator loss at iter 7074; skipping update. +2025-10-31 17:14:48,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,013 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,015 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,016 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,017 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:48,018 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:48,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.86, mean=-0.1864, std=3.045, absmax=14.33 +2025-10-31 17:14:48,020 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.41, max=10.36, mean=-0.161, std=2.664, absmax=13.41 +2025-10-31 17:14:48,514 ERROR: Encountered non-finite generator loss at iter 7075; skipping update. +2025-10-31 17:14:48,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:48,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:48,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:48,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:48,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.08, mean=-0.2837, std=3.257, absmax=14.08 +2025-10-31 17:14:48,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=8.313, mean=-0.3446, std=2.736, absmax=11.07 +2025-10-31 17:14:49,017 ERROR: Encountered non-finite generator loss at iter 7076; skipping update. +2025-10-31 17:14:49,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:49,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:49,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=18.38, mean=-0.2819, std=3.303, absmax=18.38 +2025-10-31 17:14:49,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.18, max=11.37, mean=-0.2408, std=2.804, absmax=13.18 +2025-10-31 17:14:49,522 ERROR: Encountered non-finite generator loss at iter 7077; skipping update. +2025-10-31 17:14:49,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:49,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:49,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:49,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:49,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.59, mean=-0.2006, std=3.016, absmax=14.59 +2025-10-31 17:14:49,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=11.78, mean=-0.1802, std=2.655, absmax=11.78 +2025-10-31 17:14:50,026 ERROR: Encountered non-finite generator loss at iter 7078; skipping update. +2025-10-31 17:14:50,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:50,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:50,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.01, mean=-0.1826, std=2.762, absmax=11.36 +2025-10-31 17:14:50,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=9.157, mean=-0.1633, std=2.269, absmax=10.54 +2025-10-31 17:14:50,529 ERROR: Encountered non-finite generator loss at iter 7079; skipping update. +2025-10-31 17:14:50,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:50,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:50,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:50,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:50,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.99, mean=0.1495, std=3.627, absmax=14.99 +2025-10-31 17:14:50,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=14.09, mean=0.09392, std=3.092, absmax=14.09 +2025-10-31 17:14:51,033 ERROR: Encountered non-finite generator loss at iter 7080; skipping update. +2025-10-31 17:14:51,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:51,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:51,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.72, max=14.99, mean=0.2302, std=3.481, absmax=17.72 +2025-10-31 17:14:51,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=12.55, mean=0.196, std=2.885, absmax=12.55 +2025-10-31 17:14:51,535 ERROR: Encountered non-finite generator loss at iter 7081; skipping update. +2025-10-31 17:14:51,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:51,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:51,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:51,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:51,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.16, mean=-0.2031, std=3.292, absmax=14.04 +2025-10-31 17:14:51,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.257, mean=-0.229, std=2.656, absmax=10.45 +2025-10-31 17:14:52,037 ERROR: Encountered non-finite generator loss at iter 7082; skipping update. +2025-10-31 17:14:52,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,040 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:52,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:52,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=12.03, mean=-0.1471, std=2.829, absmax=12.03 +2025-10-31 17:14:52,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.852, max=9.485, mean=-0.1465, std=2.306, absmax=9.485 +2025-10-31 17:14:52,541 ERROR: Encountered non-finite generator loss at iter 7083; skipping update. +2025-10-31 17:14:52,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:52,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:52,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:52,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:52,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.21, mean=-0.3466, std=3.088, absmax=12.44 +2025-10-31 17:14:52,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.739, mean=-0.3337, std=2.6, absmax=11.2 +2025-10-31 17:14:53,045 ERROR: Encountered non-finite generator loss at iter 7084; skipping update. +2025-10-31 17:14:53,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:53,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:53,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.94, mean=-0.2863, std=3.126, absmax=13.81 +2025-10-31 17:14:53,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=9.804, mean=-0.2561, std=2.587, absmax=10.74 +2025-10-31 17:14:53,547 ERROR: Encountered non-finite generator loss at iter 7085; skipping update. +2025-10-31 17:14:53,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:53,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:53,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:53,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:53,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.93, mean=0.006917, std=3.498, absmax=13.44 +2025-10-31 17:14:53,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=8.92, mean=-0.05409, std=2.785, absmax=11.5 +2025-10-31 17:14:54,049 ERROR: Encountered non-finite generator loss at iter 7086; skipping update. +2025-10-31 17:14:54,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:54,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:54,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.11, mean=-0.1323, std=3.578, absmax=13.68 +2025-10-31 17:14:54,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=10.33, mean=-0.1107, std=2.86, absmax=10.96 +2025-10-31 17:14:54,551 ERROR: Encountered non-finite generator loss at iter 7087; skipping update. +2025-10-31 17:14:54,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,554 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,555 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:54,556 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:54,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:54,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:54,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.76, mean=-0.1423, std=2.95, absmax=14.76 +2025-10-31 17:14:54,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.831, max=10.2, mean=-0.08733, std=2.488, absmax=10.2 +2025-10-31 17:14:55,053 ERROR: Encountered non-finite generator loss at iter 7088; skipping update. +2025-10-31 17:14:55,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:55,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:55,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.18, mean=-0.1554, std=3.372, absmax=14.18 +2025-10-31 17:14:55,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.596, max=10.59, mean=-0.1462, std=2.72, absmax=10.59 +2025-10-31 17:14:55,556 ERROR: Encountered non-finite generator loss at iter 7089; skipping update. +2025-10-31 17:14:55,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:55,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:55,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:55,564 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:55,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.25, mean=-0.1878, std=2.739, absmax=13.4 +2025-10-31 17:14:55,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.202, max=7.648, mean=-0.1946, std=2.169, absmax=9.202 +2025-10-31 17:14:56,060 ERROR: Encountered non-finite generator loss at iter 7090; skipping update. +2025-10-31 17:14:56,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:56,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:56,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.14, max=15.15, mean=-0.1348, std=3.263, absmax=18.14 +2025-10-31 17:14:56,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.61, max=12.52, mean=-0.111, std=2.752, absmax=14.61 +2025-10-31 17:14:56,563 ERROR: Encountered non-finite generator loss at iter 7091; skipping update. +2025-10-31 17:14:56,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:56,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:56,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:56,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:56,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.09, mean=-0.2854, std=3.169, absmax=13.17 +2025-10-31 17:14:56,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.829, max=8.021, mean=-0.2764, std=2.628, absmax=9.829 +2025-10-31 17:14:57,065 ERROR: Encountered non-finite generator loss at iter 7092; skipping update. +2025-10-31 17:14:57,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,067 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:57,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:57,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.32, mean=-0.3194, std=2.774, absmax=13.38 +2025-10-31 17:14:57,075 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.465, mean=-0.2859, std=2.354, absmax=10.23 +2025-10-31 17:14:57,569 ERROR: Encountered non-finite generator loss at iter 7093; skipping update. +2025-10-31 17:14:57,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:57,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:57,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:57,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:57,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.78, mean=0.01747, std=3.105, absmax=12.78 +2025-10-31 17:14:57,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.27, mean=-0.006993, std=2.594, absmax=11.27 +2025-10-31 17:14:58,073 ERROR: Encountered non-finite generator loss at iter 7094; skipping update. +2025-10-31 17:14:58,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:58,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:58,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=15.11, mean=-0.04632, std=3.328, absmax=15.13 +2025-10-31 17:14:58,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.6, mean=-0.06286, std=2.857, absmax=11.6 +2025-10-31 17:14:58,576 ERROR: Encountered non-finite generator loss at iter 7095; skipping update. +2025-10-31 17:14:58,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:58,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:58,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:58,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:58,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13, mean=-0.0966, std=3.296, absmax=13 +2025-10-31 17:14:58,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.533, max=10.08, mean=-0.06934, std=2.563, absmax=10.08 +2025-10-31 17:14:59,079 ERROR: Encountered non-finite generator loss at iter 7096; skipping update. +2025-10-31 17:14:59,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:59,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:59,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.43, mean=0.05457, std=3.072, absmax=12.75 +2025-10-31 17:14:59,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.967, max=10.01, mean=0.009076, std=2.599, absmax=10.01 +2025-10-31 17:14:59,582 ERROR: Encountered non-finite generator loss at iter 7097; skipping update. +2025-10-31 17:14:59,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:14:59,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:14:59,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:14:59,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:14:59,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=13.14, mean=-0.09891, std=2.735, absmax=13.14 +2025-10-31 17:14:59,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.816, max=10.39, mean=-0.1449, std=2.175, absmax=10.39 +2025-10-31 17:15:00,084 ERROR: Encountered non-finite generator loss at iter 7098; skipping update. +2025-10-31 17:15:00,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:00,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:00,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.75, mean=0.113, std=3.376, absmax=13.75 +2025-10-31 17:15:00,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.428, max=10.52, mean=0.1031, std=2.762, absmax=10.52 +2025-10-31 17:15:00,588 ERROR: Encountered non-finite generator loss at iter 7099; skipping update. +2025-10-31 17:15:00,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:00,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:00,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:00,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:00,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.62, mean=-0.05498, std=3.127, absmax=12.62 +2025-10-31 17:15:00,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.92, mean=-0.003065, std=2.743, absmax=11.92 +2025-10-31 17:15:01,091 ERROR: Encountered non-finite generator loss at iter 7100; skipping update. +2025-10-31 17:15:01,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:01,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:01,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.89, mean=-0.1223, std=3.258, absmax=12.98 +2025-10-31 17:15:01,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=10.25, mean=-0.164, std=2.711, absmax=10.89 +2025-10-31 17:15:01,102 INFO: [29..][epoch: 0, step: 7,100, lr:(1.500e-04,)] [eta: 1 day, 16:28:50, time (data): 0.503 (0.000)] +2025-10-31 17:15:01,595 ERROR: Encountered non-finite generator loss at iter 7101; skipping update. +2025-10-31 17:15:01,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,598 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:01,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:01,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:01,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:01,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.85, mean=0.04079, std=3.256, absmax=12.76 +2025-10-31 17:15:01,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.887, mean=0.007082, std=2.692, absmax=10.03 +2025-10-31 17:15:02,096 ERROR: Encountered non-finite generator loss at iter 7102; skipping update. +2025-10-31 17:15:02,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:02,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:02,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=17.11, mean=-0.09336, std=3.108, absmax=17.11 +2025-10-31 17:15:02,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=13.72, mean=-0.09496, std=2.558, absmax=13.72 +2025-10-31 17:15:02,602 ERROR: Encountered non-finite generator loss at iter 7103; skipping update. +2025-10-31 17:15:02,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:02,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:02,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:02,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:02,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.52, mean=-0.2268, std=2.977, absmax=12.52 +2025-10-31 17:15:02,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.906, max=10.13, mean=-0.1825, std=2.59, absmax=10.13 +2025-10-31 17:15:03,104 ERROR: Encountered non-finite generator loss at iter 7104; skipping update. +2025-10-31 17:15:03,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:03,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:03,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=10.69, mean=-0.2993, std=3.162, absmax=13.61 +2025-10-31 17:15:03,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.227, mean=-0.3278, std=2.665, absmax=10.92 +2025-10-31 17:15:03,608 ERROR: Encountered non-finite generator loss at iter 7105; skipping update. +2025-10-31 17:15:03,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:03,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:03,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:03,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:03,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.04, mean=-0.02945, std=4.069, absmax=14.06 +2025-10-31 17:15:03,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=12.38, mean=-0.01957, std=3.488, absmax=12.38 +2025-10-31 17:15:04,112 ERROR: Encountered non-finite generator loss at iter 7106; skipping update. +2025-10-31 17:15:04,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:04,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:04,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=16.94, mean=-0.06957, std=3.149, absmax=16.94 +2025-10-31 17:15:04,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.908, max=13.6, mean=-0.09242, std=2.545, absmax=13.6 +2025-10-31 17:15:04,618 ERROR: Encountered non-finite generator loss at iter 7107; skipping update. +2025-10-31 17:15:04,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:04,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:04,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:04,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:04,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=15.58, mean=0.1943, std=3.375, absmax=15.58 +2025-10-31 17:15:04,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.44, mean=0.156, std=2.887, absmax=12.44 +2025-10-31 17:15:05,121 ERROR: Encountered non-finite generator loss at iter 7108; skipping update. +2025-10-31 17:15:05,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:05,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:05,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.73, mean=-0.1304, std=3.326, absmax=13.07 +2025-10-31 17:15:05,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.03, max=10.25, mean=-0.1456, std=2.806, absmax=12.03 +2025-10-31 17:15:05,626 ERROR: Encountered non-finite generator loss at iter 7109; skipping update. +2025-10-31 17:15:05,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:05,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:05,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:05,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:05,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.08, mean=-0.2036, std=3.207, absmax=12.81 +2025-10-31 17:15:05,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.163, max=10.39, mean=-0.2002, std=2.577, absmax=10.39 +2025-10-31 17:15:06,128 ERROR: Encountered non-finite generator loss at iter 7110; skipping update. +2025-10-31 17:15:06,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:06,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:06,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.21, mean=-0.02234, std=2.692, absmax=12.21 +2025-10-31 17:15:06,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.937, mean=-0.06941, std=2.26, absmax=10.16 +2025-10-31 17:15:06,631 ERROR: Encountered non-finite generator loss at iter 7111; skipping update. +2025-10-31 17:15:06,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:06,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:06,637 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:06,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:06,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12.68, mean=-0.00452, std=3.323, absmax=14.49 +2025-10-31 17:15:06,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.26, mean=-0.02008, std=2.743, absmax=11.26 +2025-10-31 17:15:07,132 ERROR: Encountered non-finite generator loss at iter 7112; skipping update. +2025-10-31 17:15:07,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,135 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,136 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,137 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,138 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,139 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:07,140 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:07,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.03, mean=0.1158, std=3.468, absmax=14.03 +2025-10-31 17:15:07,142 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=11.53, mean=0.0958, std=3.008, absmax=11.67 +2025-10-31 17:15:07,636 ERROR: Encountered non-finite generator loss at iter 7113; skipping update. +2025-10-31 17:15:07,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:07,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:07,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:07,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:07,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.4, mean=0.02249, std=3.175, absmax=14.4 +2025-10-31 17:15:07,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.445, max=10.74, mean=0.005102, std=2.729, absmax=10.74 +2025-10-31 17:15:08,140 ERROR: Encountered non-finite generator loss at iter 7114; skipping update. +2025-10-31 17:15:08,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:08,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:08,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.5, mean=-0.2948, std=3.289, absmax=13.18 +2025-10-31 17:15:08,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=10.77, mean=-0.3058, std=2.706, absmax=10.92 +2025-10-31 17:15:08,643 ERROR: Encountered non-finite generator loss at iter 7115; skipping update. +2025-10-31 17:15:08,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,645 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:08,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:08,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:08,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:08,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=10.84, mean=-0.3613, std=3.145, absmax=13.8 +2025-10-31 17:15:08,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=8.908, mean=-0.3328, std=2.772, absmax=11.5 +2025-10-31 17:15:09,146 ERROR: Encountered non-finite generator loss at iter 7116; skipping update. +2025-10-31 17:15:09,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:09,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:09,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.23, mean=0.006167, std=2.648, absmax=13.23 +2025-10-31 17:15:09,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.666, max=9.242, mean=-0.06117, std=2.232, absmax=9.666 +2025-10-31 17:15:09,649 ERROR: Encountered non-finite generator loss at iter 7117; skipping update. +2025-10-31 17:15:09,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:09,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:09,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:09,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:09,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.69, mean=-0.2075, std=2.748, absmax=12.69 +2025-10-31 17:15:09,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=10.47, mean=-0.2145, std=2.278, absmax=10.47 +2025-10-31 17:15:10,153 ERROR: Encountered non-finite generator loss at iter 7118; skipping update. +2025-10-31 17:15:10,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:10,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:10,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=15.08, mean=-0.06021, std=3.225, absmax=15.08 +2025-10-31 17:15:10,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.786, max=14.79, mean=-0.05557, std=2.891, absmax=14.79 +2025-10-31 17:15:10,662 ERROR: Encountered non-finite generator loss at iter 7119; skipping update. +2025-10-31 17:15:10,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:10,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:10,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:10,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:10,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.59, mean=-0.1898, std=3.033, absmax=13.4 +2025-10-31 17:15:10,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.707, mean=-0.1712, std=2.63, absmax=10.27 +2025-10-31 17:15:11,164 ERROR: Encountered non-finite generator loss at iter 7120; skipping update. +2025-10-31 17:15:11,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:11,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:11,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.12, mean=-0.05462, std=3.162, absmax=15.12 +2025-10-31 17:15:11,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=11.7, mean=-0.0988, std=2.594, absmax=11.7 +2025-10-31 17:15:11,667 ERROR: Encountered non-finite generator loss at iter 7121; skipping update. +2025-10-31 17:15:11,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:11,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:11,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:11,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:11,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=15.53, mean=-0.07405, std=3.02, absmax=15.53 +2025-10-31 17:15:11,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=10.93, mean=-0.0991, std=2.496, absmax=10.93 +2025-10-31 17:15:12,166 ERROR: Encountered non-finite generator loss at iter 7122; skipping update. +2025-10-31 17:15:12,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:12,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:12,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.24, mean=0.02475, std=2.936, absmax=13.24 +2025-10-31 17:15:12,176 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=12.64, mean=0.04281, std=2.644, absmax=12.64 +2025-10-31 17:15:12,670 ERROR: Encountered non-finite generator loss at iter 7123; skipping update. +2025-10-31 17:15:12,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:12,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:12,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:12,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:12,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.26, mean=-0.202, std=2.815, absmax=13.26 +2025-10-31 17:15:12,678 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.105, max=9.226, mean=-0.1872, std=2.331, absmax=9.226 +2025-10-31 17:15:13,175 ERROR: Encountered non-finite generator loss at iter 7124; skipping update. +2025-10-31 17:15:13,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:13,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:13,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.35, max=14.27, mean=-0.1232, std=3.446, absmax=15.35 +2025-10-31 17:15:13,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=10.79, mean=-0.1489, std=2.811, absmax=10.79 +2025-10-31 17:15:13,683 ERROR: Encountered non-finite generator loss at iter 7125; skipping update. +2025-10-31 17:15:13,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:13,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:13,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:13,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:13,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=15.5, mean=-0.06048, std=3.131, absmax=15.5 +2025-10-31 17:15:13,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=10.85, mean=-0.06985, std=2.66, absmax=11.03 +2025-10-31 17:15:14,188 ERROR: Encountered non-finite generator loss at iter 7126; skipping update. +2025-10-31 17:15:14,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:14,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:14,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.9, mean=-0.1809, std=3.201, absmax=12.9 +2025-10-31 17:15:14,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.907, max=11.72, mean=-0.1438, std=2.666, absmax=11.72 +2025-10-31 17:15:14,694 ERROR: Encountered non-finite generator loss at iter 7127; skipping update. +2025-10-31 17:15:14,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:14,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:14,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:14,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:14,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.09, mean=-0.1688, std=2.98, absmax=15.09 +2025-10-31 17:15:14,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.307, max=10.01, mean=-0.1466, std=2.339, absmax=10.01 +2025-10-31 17:15:15,197 ERROR: Encountered non-finite generator loss at iter 7128; skipping update. +2025-10-31 17:15:15,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:15,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:15,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=18.23, mean=-0.2687, std=2.749, absmax=18.23 +2025-10-31 17:15:15,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=10.22, mean=-0.2203, std=2.247, absmax=11.3 +2025-10-31 17:15:15,701 ERROR: Encountered non-finite generator loss at iter 7129; skipping update. +2025-10-31 17:15:15,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:15,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:15,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:15,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:15,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.12, mean=-0.0656, std=3.183, absmax=14.12 +2025-10-31 17:15:15,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.995, max=10.85, mean=-0.03905, std=2.707, absmax=10.85 +2025-10-31 17:15:16,204 ERROR: Encountered non-finite generator loss at iter 7130; skipping update. +2025-10-31 17:15:16,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:16,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:16,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.96, mean=-0.2985, std=3.223, absmax=13.96 +2025-10-31 17:15:16,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.113, mean=-0.2611, std=2.635, absmax=10.6 +2025-10-31 17:15:16,705 ERROR: Encountered non-finite generator loss at iter 7131; skipping update. +2025-10-31 17:15:16,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:16,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:16,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:16,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:16,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.83, mean=-0.2526, std=2.565, absmax=13.83 +2025-10-31 17:15:16,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.639, max=10.34, mean=-0.2036, std=2.276, absmax=10.34 +2025-10-31 17:15:17,207 ERROR: Encountered non-finite generator loss at iter 7132; skipping update. +2025-10-31 17:15:17,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,211 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:17,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:17,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=10.54, mean=-0.3077, std=2.709, absmax=14.46 +2025-10-31 17:15:17,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.667, mean=-0.3251, std=2.392, absmax=10.23 +2025-10-31 17:15:17,711 ERROR: Encountered non-finite generator loss at iter 7133; skipping update. +2025-10-31 17:15:17,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,714 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,716 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:17,717 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:17,718 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:17,719 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:17,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.54, mean=-0.1273, std=3.136, absmax=13.54 +2025-10-31 17:15:17,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.17, mean=-0.1126, std=2.677, absmax=10.17 +2025-10-31 17:15:18,214 ERROR: Encountered non-finite generator loss at iter 7134; skipping update. +2025-10-31 17:15:18,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:18,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:18,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=13.22, mean=-0.2417, std=2.621, absmax=13.22 +2025-10-31 17:15:18,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.297, max=10.55, mean=-0.217, std=2.201, absmax=10.55 +2025-10-31 17:15:18,716 ERROR: Encountered non-finite generator loss at iter 7135; skipping update. +2025-10-31 17:15:18,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:18,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:18,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:18,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:18,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.01, mean=-0.1425, std=2.856, absmax=12.01 +2025-10-31 17:15:18,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.989, mean=-0.1185, std=2.504, absmax=10.44 +2025-10-31 17:15:19,220 ERROR: Encountered non-finite generator loss at iter 7136; skipping update. +2025-10-31 17:15:19,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:19,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:19,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.79, mean=-0.307, std=2.639, absmax=11.94 +2025-10-31 17:15:19,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.2, mean=-0.2948, std=2.169, absmax=10.54 +2025-10-31 17:15:19,724 ERROR: Encountered non-finite generator loss at iter 7137; skipping update. +2025-10-31 17:15:19,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:19,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:19,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:19,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:19,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.88, mean=-0.1655, std=3.659, absmax=13.88 +2025-10-31 17:15:19,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.27, mean=-0.1504, std=2.985, absmax=10.38 +2025-10-31 17:15:20,228 ERROR: Encountered non-finite generator loss at iter 7138; skipping update. +2025-10-31 17:15:20,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,231 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:20,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:20,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=13.28, mean=-0.1858, std=2.943, absmax=14.37 +2025-10-31 17:15:20,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.23, mean=-0.2048, std=2.554, absmax=11.23 +2025-10-31 17:15:20,732 ERROR: Encountered non-finite generator loss at iter 7139; skipping update. +2025-10-31 17:15:20,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,738 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:20,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:20,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:20,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:20,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.37, mean=-0.01494, std=3.264, absmax=13.37 +2025-10-31 17:15:20,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=9.103, mean=-0.0671, std=2.505, absmax=9.559 +2025-10-31 17:15:21,235 ERROR: Encountered non-finite generator loss at iter 7140; skipping update. +2025-10-31 17:15:21,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:21,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:21,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=15.68, mean=-0.2917, std=2.864, absmax=15.75 +2025-10-31 17:15:21,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.75, max=10.97, mean=-0.2634, std=2.481, absmax=13.75 +2025-10-31 17:15:21,738 ERROR: Encountered non-finite generator loss at iter 7141; skipping update. +2025-10-31 17:15:21,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:21,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:21,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:21,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:21,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=10.44, mean=-0.2157, std=2.854, absmax=11.68 +2025-10-31 17:15:21,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.426, max=8.701, mean=-0.1888, std=2.369, absmax=9.426 +2025-10-31 17:15:22,241 ERROR: Encountered non-finite generator loss at iter 7142; skipping update. +2025-10-31 17:15:22,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:22,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:22,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.34, mean=-0.0956, std=3.47, absmax=14.24 +2025-10-31 17:15:22,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=10.76, mean=-0.1488, std=3.049, absmax=12.23 +2025-10-31 17:15:22,745 ERROR: Encountered non-finite generator loss at iter 7143; skipping update. +2025-10-31 17:15:22,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:22,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:22,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:22,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:22,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=16.35, mean=0.05519, std=3.337, absmax=16.35 +2025-10-31 17:15:22,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.768, max=12.08, mean=0.0131, std=2.858, absmax=12.08 +2025-10-31 17:15:23,248 ERROR: Encountered non-finite generator loss at iter 7144; skipping update. +2025-10-31 17:15:23,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:23,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:23,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.83, mean=-0.1382, std=3.377, absmax=14.83 +2025-10-31 17:15:23,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.65, mean=-0.116, std=2.741, absmax=10.65 +2025-10-31 17:15:23,752 ERROR: Encountered non-finite generator loss at iter 7145; skipping update. +2025-10-31 17:15:23,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:23,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:23,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:23,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:23,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.12, mean=-0.1838, std=2.599, absmax=12.12 +2025-10-31 17:15:23,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.78, max=8.86, mean=-0.1558, std=2.211, absmax=9.78 +2025-10-31 17:15:24,253 ERROR: Encountered non-finite generator loss at iter 7146; skipping update. +2025-10-31 17:15:24,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:24,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:24,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.4, mean=-0.1913, std=2.875, absmax=12.72 +2025-10-31 17:15:24,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.48, mean=-0.1412, std=2.328, absmax=10.07 +2025-10-31 17:15:24,754 ERROR: Encountered non-finite generator loss at iter 7147; skipping update. +2025-10-31 17:15:24,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:24,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:24,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:24,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:24,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.8, mean=-0.3415, std=3.167, absmax=13.9 +2025-10-31 17:15:24,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.94, max=9.281, mean=-0.2597, std=2.594, absmax=9.94 +2025-10-31 17:15:25,256 ERROR: Encountered non-finite generator loss at iter 7148; skipping update. +2025-10-31 17:15:25,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:25,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:25,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.63, mean=-0.1211, std=3.037, absmax=14.63 +2025-10-31 17:15:25,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=12.6, mean=-0.1189, std=2.554, absmax=12.6 +2025-10-31 17:15:25,755 ERROR: Encountered non-finite generator loss at iter 7149; skipping update. +2025-10-31 17:15:25,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:25,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:25,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:25,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:25,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.38, mean=-0.06702, std=3.415, absmax=15.38 +2025-10-31 17:15:25,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=14.98, mean=-0.0345, std=2.988, absmax=14.98 +2025-10-31 17:15:26,254 ERROR: Encountered non-finite generator loss at iter 7150; skipping update. +2025-10-31 17:15:26,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:26,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:26,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.02, mean=-0.06822, std=2.806, absmax=13.02 +2025-10-31 17:15:26,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.829, max=11.02, mean=-0.05769, std=2.465, absmax=11.02 +2025-10-31 17:15:26,755 ERROR: Encountered non-finite generator loss at iter 7151; skipping update. +2025-10-31 17:15:26,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:26,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:26,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:26,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:26,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.3, mean=-0.155, std=3.479, absmax=14.3 +2025-10-31 17:15:26,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10, mean=-0.1339, std=2.743, absmax=10.36 +2025-10-31 17:15:27,256 ERROR: Encountered non-finite generator loss at iter 7152; skipping update. +2025-10-31 17:15:27,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:27,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:27,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=12.46, mean=-0.3527, std=2.29, absmax=12.46 +2025-10-31 17:15:27,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.241, max=6.797, mean=-0.3564, std=1.986, absmax=9.241 +2025-10-31 17:15:27,757 ERROR: Encountered non-finite generator loss at iter 7153; skipping update. +2025-10-31 17:15:27,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:27,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:27,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:27,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:27,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.07, mean=-0.1368, std=2.714, absmax=12.18 +2025-10-31 17:15:27,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=8.263, mean=-0.1661, std=2.308, absmax=11.69 +2025-10-31 17:15:28,257 ERROR: Encountered non-finite generator loss at iter 7154; skipping update. +2025-10-31 17:15:28,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:28,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:28,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.41, mean=-0.2247, std=2.786, absmax=12.41 +2025-10-31 17:15:28,268 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.389, max=9.69, mean=-0.2103, std=2.367, absmax=9.69 +2025-10-31 17:15:28,759 ERROR: Encountered non-finite generator loss at iter 7155; skipping update. +2025-10-31 17:15:28,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:28,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:28,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:28,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:28,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=16.43, mean=-0.01881, std=3.68, absmax=16.43 +2025-10-31 17:15:28,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.798, max=10.72, mean=-0.03496, std=2.951, absmax=10.72 +2025-10-31 17:15:29,260 ERROR: Encountered non-finite generator loss at iter 7156; skipping update. +2025-10-31 17:15:29,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:29,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:29,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.22, mean=-0.347, std=3.063, absmax=13.3 +2025-10-31 17:15:29,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=8.409, mean=-0.3521, std=2.521, absmax=10.91 +2025-10-31 17:15:29,761 ERROR: Encountered non-finite generator loss at iter 7157; skipping update. +2025-10-31 17:15:29,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:29,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:29,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:29,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:29,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=10.28, mean=-0.1014, std=2.643, absmax=12.86 +2025-10-31 17:15:29,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=7.41, mean=-0.1417, std=2.281, absmax=10.07 +2025-10-31 17:15:30,263 ERROR: Encountered non-finite generator loss at iter 7158; skipping update. +2025-10-31 17:15:30,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:30,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:30,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.69, mean=-0.1914, std=2.858, absmax=12.75 +2025-10-31 17:15:30,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.745, max=9.744, mean=-0.1357, std=2.283, absmax=9.745 +2025-10-31 17:15:30,764 ERROR: Encountered non-finite generator loss at iter 7159; skipping update. +2025-10-31 17:15:30,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:30,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:30,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:30,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:30,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=10.65, mean=-0.2849, std=2.705, absmax=13.99 +2025-10-31 17:15:30,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.244, max=9.309, mean=-0.2936, std=2.286, absmax=9.309 +2025-10-31 17:15:31,266 ERROR: Encountered non-finite generator loss at iter 7160; skipping update. +2025-10-31 17:15:31,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,268 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:31,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:31,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=11.51, mean=-0.262, std=3.43, absmax=14.91 +2025-10-31 17:15:31,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.981, mean=-0.2512, std=2.86, absmax=10.95 +2025-10-31 17:15:31,766 ERROR: Encountered non-finite generator loss at iter 7161; skipping update. +2025-10-31 17:15:31,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:31,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:31,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:31,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:31,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=13.26, mean=-0.02934, std=2.864, absmax=13.26 +2025-10-31 17:15:31,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.403, max=11.09, mean=-0.058, std=2.38, absmax=11.09 +2025-10-31 17:15:32,267 ERROR: Encountered non-finite generator loss at iter 7162; skipping update. +2025-10-31 17:15:32,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:32,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:32,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.31, mean=-0.1432, std=3.202, absmax=13.31 +2025-10-31 17:15:32,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=10.71, mean=-0.1333, std=2.634, absmax=11.14 +2025-10-31 17:15:32,769 ERROR: Encountered non-finite generator loss at iter 7163; skipping update. +2025-10-31 17:15:32,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:32,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:32,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:32,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:32,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=10.06, mean=-0.07277, std=2.474, absmax=10.66 +2025-10-31 17:15:32,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.257, max=7.865, mean=-0.1002, std=2.163, absmax=9.257 +2025-10-31 17:15:33,269 ERROR: Encountered non-finite generator loss at iter 7164; skipping update. +2025-10-31 17:15:33,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,272 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:33,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:33,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=14.27, mean=0.1395, std=3.735, absmax=15.15 +2025-10-31 17:15:33,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=12.12, mean=0.1433, std=3.292, absmax=12.12 +2025-10-31 17:15:33,770 ERROR: Encountered non-finite generator loss at iter 7165; skipping update. +2025-10-31 17:15:33,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,775 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:33,777 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:33,778 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:33,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:33,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.9, mean=-0.007802, std=3.199, absmax=14.9 +2025-10-31 17:15:33,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=10.91, mean=-0.01578, std=2.677, absmax=11.08 +2025-10-31 17:15:34,273 ERROR: Encountered non-finite generator loss at iter 7166; skipping update. +2025-10-31 17:15:34,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:34,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:34,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.97, mean=-0.1786, std=3.041, absmax=12.91 +2025-10-31 17:15:34,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=8.945, mean=-0.1862, std=2.621, absmax=10.13 +2025-10-31 17:15:34,775 ERROR: Encountered non-finite generator loss at iter 7167; skipping update. +2025-10-31 17:15:34,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,778 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:34,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:34,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:34,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:34,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=11.48, mean=-0.02709, std=3.075, absmax=13.12 +2025-10-31 17:15:34,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.902, mean=-0.07825, std=2.711, absmax=11.12 +2025-10-31 17:15:35,277 ERROR: Encountered non-finite generator loss at iter 7168; skipping update. +2025-10-31 17:15:35,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:35,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:35,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.85, mean=-0.176, std=2.928, absmax=12.53 +2025-10-31 17:15:35,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.837, max=8.961, mean=-0.1786, std=2.517, absmax=8.961 +2025-10-31 17:15:35,778 ERROR: Encountered non-finite generator loss at iter 7169; skipping update. +2025-10-31 17:15:35,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:35,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:35,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:35,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:35,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.53, mean=-0.1659, std=2.588, absmax=13.53 +2025-10-31 17:15:35,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.13, mean=-0.1353, std=2.342, absmax=12.13 +2025-10-31 17:15:36,278 ERROR: Encountered non-finite generator loss at iter 7170; skipping update. +2025-10-31 17:15:36,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:36,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:36,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.84, mean=-0.2182, std=3.311, absmax=13.45 +2025-10-31 17:15:36,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.14, mean=-0.2674, std=2.943, absmax=11.71 +2025-10-31 17:15:36,779 ERROR: Encountered non-finite generator loss at iter 7171; skipping update. +2025-10-31 17:15:36,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:36,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:36,786 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:36,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:36,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.73, mean=-0.1955, std=3.484, absmax=13.7 +2025-10-31 17:15:36,789 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.794, mean=-0.2093, std=2.901, absmax=11.21 +2025-10-31 17:15:37,282 ERROR: Encountered non-finite generator loss at iter 7172; skipping update. +2025-10-31 17:15:37,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:37,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:37,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.71, mean=-0.1274, std=3.002, absmax=14.71 +2025-10-31 17:15:37,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=12.07, mean=-0.115, std=2.531, absmax=12.07 +2025-10-31 17:15:37,785 ERROR: Encountered non-finite generator loss at iter 7173; skipping update. +2025-10-31 17:15:37,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:37,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:37,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:37,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:37,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.03, mean=0.05117, std=2.982, absmax=13.82 +2025-10-31 17:15:37,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=10.09, mean=0.01174, std=2.462, absmax=10.21 +2025-10-31 17:15:38,286 ERROR: Encountered non-finite generator loss at iter 7174; skipping update. +2025-10-31 17:15:38,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:38,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:38,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.82, mean=-0.2621, std=2.84, absmax=12.36 +2025-10-31 17:15:38,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.689, mean=-0.2606, std=2.442, absmax=10.33 +2025-10-31 17:15:38,789 ERROR: Encountered non-finite generator loss at iter 7175; skipping update. +2025-10-31 17:15:38,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:38,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:38,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:38,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:38,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.79, mean=-0.2224, std=2.608, absmax=11.79 +2025-10-31 17:15:38,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.12, mean=-0.2502, std=2.215, absmax=10.07 +2025-10-31 17:15:39,291 ERROR: Encountered non-finite generator loss at iter 7176; skipping update. +2025-10-31 17:15:39,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:39,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:39,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=14.48, mean=-0.1619, std=3.024, absmax=15.23 +2025-10-31 17:15:39,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=10.12, mean=-0.1498, std=2.528, absmax=10.12 +2025-10-31 17:15:39,791 ERROR: Encountered non-finite generator loss at iter 7177; skipping update. +2025-10-31 17:15:39,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:39,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:39,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:39,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:39,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.54, mean=-0.06994, std=3.818, absmax=14.41 +2025-10-31 17:15:39,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=10.24, mean=-0.07777, std=3.227, absmax=12.23 +2025-10-31 17:15:40,291 ERROR: Encountered non-finite generator loss at iter 7178; skipping update. +2025-10-31 17:15:40,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:40,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:40,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.93, mean=-0.108, std=2.884, absmax=13.22 +2025-10-31 17:15:40,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.975, max=9.748, mean=-0.1209, std=2.367, absmax=9.975 +2025-10-31 17:15:40,795 ERROR: Encountered non-finite generator loss at iter 7179; skipping update. +2025-10-31 17:15:40,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:40,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:40,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:40,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:40,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.18, mean=-0.1867, std=3.814, absmax=14.36 +2025-10-31 17:15:40,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=10.64, mean=-0.1989, std=3.251, absmax=12.17 +2025-10-31 17:15:41,298 ERROR: Encountered non-finite generator loss at iter 7180; skipping update. +2025-10-31 17:15:41,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:41,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:41,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=16.92, mean=-0.1942, std=2.717, absmax=16.92 +2025-10-31 17:15:41,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=8.581, mean=-0.1505, std=2.313, absmax=10.05 +2025-10-31 17:15:41,803 ERROR: Encountered non-finite generator loss at iter 7181; skipping update. +2025-10-31 17:15:41,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:41,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:41,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:41,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:41,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.51, max=11.98, mean=-0.1245, std=2.538, absmax=11.98 +2025-10-31 17:15:41,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.776, max=9.102, mean=-0.1331, std=2.119, absmax=9.102 +2025-10-31 17:15:42,308 ERROR: Encountered non-finite generator loss at iter 7182; skipping update. +2025-10-31 17:15:42,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,314 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:42,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:42,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.3, mean=0.05422, std=3.169, absmax=13.3 +2025-10-31 17:15:42,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.394, max=10.96, mean=0.03299, std=2.556, absmax=10.96 +2025-10-31 17:15:42,814 ERROR: Encountered non-finite generator loss at iter 7183; skipping update. +2025-10-31 17:15:42,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:42,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:42,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:42,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:42,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=16.69, mean=-0.2368, std=3.39, absmax=16.69 +2025-10-31 17:15:42,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.05, mean=-0.2496, std=2.849, absmax=11 +2025-10-31 17:15:43,318 ERROR: Encountered non-finite generator loss at iter 7184; skipping update. +2025-10-31 17:15:43,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:43,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:43,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.74, mean=-0.02722, std=3.15, absmax=13.3 +2025-10-31 17:15:43,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.411, max=10.77, mean=-0.03345, std=2.71, absmax=10.77 +2025-10-31 17:15:43,824 ERROR: Encountered non-finite generator loss at iter 7185; skipping update. +2025-10-31 17:15:43,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:43,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:43,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:43,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:43,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12, mean=-0.0978, std=2.717, absmax=12.94 +2025-10-31 17:15:43,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.42, max=7.371, mean=-0.1561, std=2.26, absmax=12.42 +2025-10-31 17:15:44,328 ERROR: Encountered non-finite generator loss at iter 7186; skipping update. +2025-10-31 17:15:44,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:44,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:44,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=10.79, mean=-0.2389, std=2.928, absmax=12.59 +2025-10-31 17:15:44,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.495, max=8.338, mean=-0.2353, std=2.449, absmax=9.495 +2025-10-31 17:15:44,831 ERROR: Encountered non-finite generator loss at iter 7187; skipping update. +2025-10-31 17:15:44,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:44,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:44,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:44,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:44,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=10.45, mean=-0.2067, std=2.895, absmax=12.19 +2025-10-31 17:15:44,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.895, max=8.975, mean=-0.1752, std=2.449, absmax=9.895 +2025-10-31 17:15:45,332 ERROR: Encountered non-finite generator loss at iter 7188; skipping update. +2025-10-31 17:15:45,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,335 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:45,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:45,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.89, mean=-0.1531, std=2.588, absmax=13.89 +2025-10-31 17:15:45,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=8.332, mean=-0.178, std=2.368, absmax=10.25 +2025-10-31 17:15:45,835 ERROR: Encountered non-finite generator loss at iter 7189; skipping update. +2025-10-31 17:15:45,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:45,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:45,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:45,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:45,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=13.27, mean=-0.2335, std=2.764, absmax=15.75 +2025-10-31 17:15:45,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.315, max=10.26, mean=-0.2124, std=2.184, absmax=10.26 +2025-10-31 17:15:46,340 ERROR: Encountered non-finite generator loss at iter 7190; skipping update. +2025-10-31 17:15:46,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:46,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:46,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=12.05, mean=-0.183, std=2.889, absmax=15.67 +2025-10-31 17:15:46,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.455, mean=-0.1355, std=2.323, absmax=11.71 +2025-10-31 17:15:46,842 ERROR: Encountered non-finite generator loss at iter 7191; skipping update. +2025-10-31 17:15:46,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,846 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,847 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:46,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:46,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:46,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:46,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.08, mean=-0.0006931, std=2.87, absmax=13.08 +2025-10-31 17:15:46,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.888, max=10.22, mean=-0.04974, std=2.368, absmax=10.22 +2025-10-31 17:15:47,346 ERROR: Encountered non-finite generator loss at iter 7192; skipping update. +2025-10-31 17:15:47,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:47,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:47,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=14.96, mean=-0.337, std=2.416, absmax=14.96 +2025-10-31 17:15:47,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.809, max=7.676, mean=-0.2848, std=2.095, absmax=8.809 +2025-10-31 17:15:47,847 ERROR: Encountered non-finite generator loss at iter 7193; skipping update. +2025-10-31 17:15:47,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,852 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:47,853 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:47,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:47,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:47,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=13.73, mean=-0.02036, std=2.782, absmax=14.73 +2025-10-31 17:15:47,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=10.15, mean=-0.0368, std=2.367, absmax=10.56 +2025-10-31 17:15:48,350 ERROR: Encountered non-finite generator loss at iter 7194; skipping update. +2025-10-31 17:15:48,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:48,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:48,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.15, mean=-0.01564, std=3.423, absmax=13.75 +2025-10-31 17:15:48,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=11.06, mean=-0.05811, std=2.775, absmax=11.28 +2025-10-31 17:15:48,853 ERROR: Encountered non-finite generator loss at iter 7195; skipping update. +2025-10-31 17:15:48,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:48,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:48,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:48,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:48,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.54, mean=-0.1266, std=2.793, absmax=12.54 +2025-10-31 17:15:48,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=7.89, mean=-0.1191, std=2.396, absmax=10.62 +2025-10-31 17:15:49,355 ERROR: Encountered non-finite generator loss at iter 7196; skipping update. +2025-10-31 17:15:49,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:49,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:49,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.54, mean=-0.1857, std=3.027, absmax=12.54 +2025-10-31 17:15:49,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=9.536, mean=-0.1799, std=2.539, absmax=10.34 +2025-10-31 17:15:49,856 ERROR: Encountered non-finite generator loss at iter 7197; skipping update. +2025-10-31 17:15:49,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:49,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:49,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:49,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:49,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=10.41, mean=-0.2092, std=2.968, absmax=12.83 +2025-10-31 17:15:49,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.597, mean=-0.2255, std=2.523, absmax=11.36 +2025-10-31 17:15:50,358 ERROR: Encountered non-finite generator loss at iter 7198; skipping update. +2025-10-31 17:15:50,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,361 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:50,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:50,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.66, mean=-0.311, std=2.769, absmax=14.45 +2025-10-31 17:15:50,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.438, max=8.492, mean=-0.2839, std=2.302, absmax=9.438 +2025-10-31 17:15:50,862 ERROR: Encountered non-finite generator loss at iter 7199; skipping update. +2025-10-31 17:15:50,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,866 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:50,867 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:50,868 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:50,869 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:50,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.23, mean=-0.2078, std=2.99, absmax=12.99 +2025-10-31 17:15:50,871 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.427, mean=-0.179, std=2.58, absmax=10.79 +2025-10-31 17:15:51,365 ERROR: Encountered non-finite generator loss at iter 7200; skipping update. +2025-10-31 17:15:51,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:51,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:51,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.87, mean=-0.2434, std=2.961, absmax=13.87 +2025-10-31 17:15:51,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=9.329, mean=-0.2315, std=2.375, absmax=9.329 +2025-10-31 17:15:51,376 INFO: [29..][epoch: 0, step: 7,200, lr:(1.500e-04,)] [eta: 1 day, 16:22:22, time (data): 0.503 (0.000)] +2025-10-31 17:15:51,868 ERROR: Encountered non-finite generator loss at iter 7201; skipping update. +2025-10-31 17:15:51,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,870 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:51,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:51,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:51,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:51,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.22, mean=-0.2395, std=2.462, absmax=14.22 +2025-10-31 17:15:51,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.023, max=8.383, mean=-0.2169, std=2.02, absmax=9.023 +2025-10-31 17:15:52,372 ERROR: Encountered non-finite generator loss at iter 7202; skipping update. +2025-10-31 17:15:52,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:52,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:52,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=14.49, mean=0.02317, std=2.703, absmax=14.49 +2025-10-31 17:15:52,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.108, max=12.21, mean=0.007835, std=2.358, absmax=12.21 +2025-10-31 17:15:52,875 ERROR: Encountered non-finite generator loss at iter 7203; skipping update. +2025-10-31 17:15:52,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:52,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:52,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:52,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:52,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.18, mean=-0.1299, std=2.728, absmax=13.18 +2025-10-31 17:15:52,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.998, max=9.397, mean=-0.1084, std=2.201, absmax=9.998 +2025-10-31 17:15:53,378 ERROR: Encountered non-finite generator loss at iter 7204; skipping update. +2025-10-31 17:15:53,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:53,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:53,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.3, mean=-0.09008, std=2.98, absmax=12.96 +2025-10-31 17:15:53,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.797, mean=-0.08416, std=2.318, absmax=10 +2025-10-31 17:15:53,881 ERROR: Encountered non-finite generator loss at iter 7205; skipping update. +2025-10-31 17:15:53,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:53,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:53,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:53,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:53,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.42, max=12.96, mean=-0.2243, std=3.217, absmax=17.42 +2025-10-31 17:15:53,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.3, max=10.09, mean=-0.2137, std=2.691, absmax=13.3 +2025-10-31 17:15:54,384 ERROR: Encountered non-finite generator loss at iter 7206; skipping update. +2025-10-31 17:15:54,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:54,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:54,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.17, mean=-0.3743, std=3.209, absmax=13.73 +2025-10-31 17:15:54,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=9.689, mean=-0.274, std=2.715, absmax=11.6 +2025-10-31 17:15:54,888 ERROR: Encountered non-finite generator loss at iter 7207; skipping update. +2025-10-31 17:15:54,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:54,892 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:54,893 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:54,894 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:54,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.05, mean=-0.00839, std=3.138, absmax=13.05 +2025-10-31 17:15:54,896 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.389, mean=-0.06463, std=2.638, absmax=10.67 +2025-10-31 17:15:55,389 ERROR: Encountered non-finite generator loss at iter 7208; skipping update. +2025-10-31 17:15:55,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,392 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,392 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:55,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:55,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.7, mean=-0.09214, std=3.142, absmax=14.7 +2025-10-31 17:15:55,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=11.36, mean=-0.108, std=2.601, absmax=11.36 +2025-10-31 17:15:55,893 ERROR: Encountered non-finite generator loss at iter 7209; skipping update. +2025-10-31 17:15:55,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,895 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:55,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:55,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:55,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:55,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.12, mean=-0.1465, std=3.217, absmax=13.67 +2025-10-31 17:15:55,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=10.24, mean=-0.1796, std=2.611, absmax=10.24 +2025-10-31 17:15:56,396 ERROR: Encountered non-finite generator loss at iter 7210; skipping update. +2025-10-31 17:15:56,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:56,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:56,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.26, mean=-0.1807, std=3.666, absmax=13.7 +2025-10-31 17:15:56,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=10.61, mean=-0.2434, std=3.017, absmax=10.74 +2025-10-31 17:15:56,899 ERROR: Encountered non-finite generator loss at iter 7211; skipping update. +2025-10-31 17:15:56,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:56,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:56,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:56,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:56,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.9, mean=-0.09816, std=3.062, absmax=11.9 +2025-10-31 17:15:56,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.441, max=10.34, mean=-0.1057, std=2.624, absmax=10.34 +2025-10-31 17:15:57,404 ERROR: Encountered non-finite generator loss at iter 7212; skipping update. +2025-10-31 17:15:57,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:57,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:57,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.97, mean=-0.2756, std=2.64, absmax=12.97 +2025-10-31 17:15:57,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.288, mean=-0.3066, std=2.299, absmax=10.41 +2025-10-31 17:15:57,908 ERROR: Encountered non-finite generator loss at iter 7213; skipping update. +2025-10-31 17:15:57,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,912 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:57,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:57,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:57,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:57,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=15.71, mean=-0.2162, std=3.452, absmax=15.71 +2025-10-31 17:15:57,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.64, max=11.65, mean=-0.2734, std=3.093, absmax=12.64 +2025-10-31 17:15:58,410 ERROR: Encountered non-finite generator loss at iter 7214; skipping update. +2025-10-31 17:15:58,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,413 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,417 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:58,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:58,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=16.24, mean=-0.1259, std=3.037, absmax=16.24 +2025-10-31 17:15:58,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.238, max=9.753, mean=-0.1571, std=2.346, absmax=9.753 +2025-10-31 17:15:58,914 ERROR: Encountered non-finite generator loss at iter 7215; skipping update. +2025-10-31 17:15:58,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,917 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:58,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:58,921 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:58,922 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:58,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.44, mean=-0.2531, std=3.101, absmax=13.44 +2025-10-31 17:15:58,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.092, mean=-0.2547, std=2.626, absmax=11.59 +2025-10-31 17:15:59,417 ERROR: Encountered non-finite generator loss at iter 7216; skipping update. +2025-10-31 17:15:59,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,420 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,421 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:59,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:59,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=19.74, mean=0.05416, std=4.234, absmax=19.74 +2025-10-31 17:15:59,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=14.96, mean=0.02957, std=3.751, absmax=14.96 +2025-10-31 17:15:59,921 ERROR: Encountered non-finite generator loss at iter 7217; skipping update. +2025-10-31 17:15:59,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:15:59,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:15:59,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:15:59,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:15:59,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.68, mean=-0.1069, std=3.086, absmax=13.66 +2025-10-31 17:15:59,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.171, mean=-0.1258, std=2.412, absmax=10.51 +2025-10-31 17:16:00,425 ERROR: Encountered non-finite generator loss at iter 7218; skipping update. +2025-10-31 17:16:00,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:00,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:00,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=17.23, mean=0.05951, std=3.288, absmax=17.23 +2025-10-31 17:16:00,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.371, max=11.89, mean=0.009429, std=2.813, absmax=11.89 +2025-10-31 17:16:00,928 ERROR: Encountered non-finite generator loss at iter 7219; skipping update. +2025-10-31 17:16:00,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:00,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:00,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:00,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:00,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.65, mean=-0.1552, std=2.814, absmax=11.82 +2025-10-31 17:16:00,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.509, max=9.416, mean=-0.1698, std=2.349, absmax=9.509 +2025-10-31 17:16:01,431 ERROR: Encountered non-finite generator loss at iter 7220; skipping update. +2025-10-31 17:16:01,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:01,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:01,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.7, mean=-0.1122, std=3.16, absmax=13.7 +2025-10-31 17:16:01,442 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.178, max=10.03, mean=-0.1717, std=2.499, absmax=10.03 +2025-10-31 17:16:01,934 ERROR: Encountered non-finite generator loss at iter 7221; skipping update. +2025-10-31 17:16:01,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:01,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:01,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:01,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:01,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.96, mean=-0.2448, std=2.749, absmax=12.15 +2025-10-31 17:16:01,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=7.469, mean=-0.2006, std=2.266, absmax=10.56 +2025-10-31 17:16:02,438 ERROR: Encountered non-finite generator loss at iter 7222; skipping update. +2025-10-31 17:16:02,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:02,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:02,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=13.92, mean=-0.3144, std=3.919, absmax=14.51 +2025-10-31 17:16:02,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.81, max=9.977, mean=-0.2718, std=3.267, absmax=13.81 +2025-10-31 17:16:02,939 ERROR: Encountered non-finite generator loss at iter 7223; skipping update. +2025-10-31 17:16:02,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:02,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:02,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:02,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:02,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.19, mean=-0.0176, std=3.217, absmax=13.19 +2025-10-31 17:16:02,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.253, max=10.98, mean=-0.08128, std=2.605, absmax=10.98 +2025-10-31 17:16:03,443 ERROR: Encountered non-finite generator loss at iter 7224; skipping update. +2025-10-31 17:16:03,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:03,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:03,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.34, mean=-0.2757, std=2.881, absmax=13.34 +2025-10-31 17:16:03,452 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.107, mean=-0.2094, std=2.435, absmax=10.8 +2025-10-31 17:16:03,946 ERROR: Encountered non-finite generator loss at iter 7225; skipping update. +2025-10-31 17:16:03,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:03,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:03,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:03,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:03,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=11.33, mean=-0.0609, std=2.73, absmax=11.33 +2025-10-31 17:16:03,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.048, max=9.894, mean=-0.0865, std=2.299, absmax=9.894 +2025-10-31 17:16:04,449 ERROR: Encountered non-finite generator loss at iter 7226; skipping update. +2025-10-31 17:16:04,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:04,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:04,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.97, mean=-0.05417, std=3.71, absmax=15.97 +2025-10-31 17:16:04,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=11.29, mean=-0.03627, std=3.111, absmax=11.88 +2025-10-31 17:16:04,952 ERROR: Encountered non-finite generator loss at iter 7227; skipping update. +2025-10-31 17:16:04,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:04,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:04,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:04,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:04,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.24, mean=-0.2789, std=2.484, absmax=14.24 +2025-10-31 17:16:04,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.857, max=9.378, mean=-0.2508, std=2.105, absmax=9.378 +2025-10-31 17:16:05,455 ERROR: Encountered non-finite generator loss at iter 7228; skipping update. +2025-10-31 17:16:05,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:05,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:05,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.98, mean=-0.3134, std=3.043, absmax=14.98 +2025-10-31 17:16:05,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.69, mean=-0.3121, std=2.643, absmax=11.69 +2025-10-31 17:16:05,957 ERROR: Encountered non-finite generator loss at iter 7229; skipping update. +2025-10-31 17:16:05,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:05,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:05,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:05,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:05,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.54, mean=-0.2765, std=3.11, absmax=14.28 +2025-10-31 17:16:05,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=11.58, mean=-0.2558, std=2.447, absmax=11.58 +2025-10-31 17:16:06,461 ERROR: Encountered non-finite generator loss at iter 7230; skipping update. +2025-10-31 17:16:06,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:06,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:06,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=12.04, mean=-0.3504, std=2.922, absmax=15.31 +2025-10-31 17:16:06,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=9.895, mean=-0.3068, std=2.62, absmax=12.24 +2025-10-31 17:16:06,964 ERROR: Encountered non-finite generator loss at iter 7231; skipping update. +2025-10-31 17:16:06,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:06,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:06,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:06,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:06,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=18.16, mean=-0.1723, std=3.177, absmax=18.16 +2025-10-31 17:16:06,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=11.43, mean=-0.1574, std=2.531, absmax=12.28 +2025-10-31 17:16:07,468 ERROR: Encountered non-finite generator loss at iter 7232; skipping update. +2025-10-31 17:16:07,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:07,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:07,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.33, mean=-0.05195, std=3.441, absmax=13.33 +2025-10-31 17:16:07,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.59, mean=-0.06825, std=2.797, absmax=11.05 +2025-10-31 17:16:07,970 ERROR: Encountered non-finite generator loss at iter 7233; skipping update. +2025-10-31 17:16:07,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:07,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:07,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:07,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:07,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=16.45, mean=-0.1925, std=2.942, absmax=16.45 +2025-10-31 17:16:07,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.56, mean=-0.179, std=2.432, absmax=11.56 +2025-10-31 17:16:08,472 ERROR: Encountered non-finite generator loss at iter 7234; skipping update. +2025-10-31 17:16:08,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:08,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:08,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.41, mean=-0.1087, std=2.686, absmax=12.71 +2025-10-31 17:16:08,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.977, max=8.553, mean=-0.115, std=2.202, absmax=8.977 +2025-10-31 17:16:08,975 ERROR: Encountered non-finite generator loss at iter 7235; skipping update. +2025-10-31 17:16:08,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:08,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:08,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:08,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:08,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.21, mean=-0.1143, std=3.201, absmax=15.21 +2025-10-31 17:16:08,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=11.92, mean=-0.1546, std=2.681, absmax=11.92 +2025-10-31 17:16:09,477 ERROR: Encountered non-finite generator loss at iter 7236; skipping update. +2025-10-31 17:16:09,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,479 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,479 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:09,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:09,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.56, mean=0.02618, std=3.122, absmax=14.56 +2025-10-31 17:16:09,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=13.02, mean=-0.01353, std=2.759, absmax=13.02 +2025-10-31 17:16:09,979 ERROR: Encountered non-finite generator loss at iter 7237; skipping update. +2025-10-31 17:16:09,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,983 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:09,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:09,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:09,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:09,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.07, mean=-0.278, std=2.712, absmax=12.07 +2025-10-31 17:16:09,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.975, max=8.752, mean=-0.2652, std=2.391, absmax=9.975 +2025-10-31 17:16:10,484 ERROR: Encountered non-finite generator loss at iter 7238; skipping update. +2025-10-31 17:16:10,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,490 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:10,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:10,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.1, mean=-0.1222, std=2.853, absmax=12.57 +2025-10-31 17:16:10,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.361, max=10.69, mean=-0.1368, std=2.328, absmax=10.69 +2025-10-31 17:16:10,989 ERROR: Encountered non-finite generator loss at iter 7239; skipping update. +2025-10-31 17:16:10,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:10,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:10,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:10,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:10,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=11.41, mean=-0.1432, std=2.895, absmax=11.41 +2025-10-31 17:16:10,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.43, max=11.09, mean=-0.1394, std=2.465, absmax=11.09 +2025-10-31 17:16:11,501 ERROR: Encountered non-finite generator loss at iter 7240; skipping update. +2025-10-31 17:16:11,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:11,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:11,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:11,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:11,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:11,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:11,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:11,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:11,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.43, mean=-0.2019, std=2.855, absmax=14.43 +2025-10-31 17:16:11,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.153, max=11.92, mean=-0.189, std=2.301, absmax=11.92 +2025-10-31 17:16:12,009 ERROR: Encountered non-finite generator loss at iter 7241; skipping update. +2025-10-31 17:16:12,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:12,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:12,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=13.71, mean=-0.05208, std=2.863, absmax=13.71 +2025-10-31 17:16:12,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=11.13, mean=-0.1406, std=2.448, absmax=11.13 +2025-10-31 17:16:12,523 ERROR: Encountered non-finite generator loss at iter 7242; skipping update. +2025-10-31 17:16:12,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:12,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:12,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:12,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:12,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.28, mean=-0.232, std=2.908, absmax=12.91 +2025-10-31 17:16:12,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.365, max=9.072, mean=-0.2063, std=2.359, absmax=9.365 +2025-10-31 17:16:13,031 ERROR: Encountered non-finite generator loss at iter 7243; skipping update. +2025-10-31 17:16:13,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,033 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:13,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:13,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=15.8, mean=-0.2571, std=2.971, absmax=15.8 +2025-10-31 17:16:13,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=17.34, mean=-0.2815, std=2.47, absmax=17.34 +2025-10-31 17:16:13,536 ERROR: Encountered non-finite generator loss at iter 7244; skipping update. +2025-10-31 17:16:13,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:13,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:13,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:13,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:13,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.71, mean=-0.1162, std=3.214, absmax=12.71 +2025-10-31 17:16:13,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.29, mean=-0.1435, std=2.708, absmax=10.63 +2025-10-31 17:16:14,038 ERROR: Encountered non-finite generator loss at iter 7245; skipping update. +2025-10-31 17:16:14,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,043 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,044 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,045 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:14,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:14,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.24, mean=-0.1677, std=3.238, absmax=14.24 +2025-10-31 17:16:14,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.99, mean=-0.1508, std=2.648, absmax=10.99 +2025-10-31 17:16:14,541 ERROR: Encountered non-finite generator loss at iter 7246; skipping update. +2025-10-31 17:16:14,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:14,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:14,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:14,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:14,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.84, mean=-0.0004789, std=3.265, absmax=13.87 +2025-10-31 17:16:14,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=10.13, mean=-0.04146, std=2.841, absmax=12.05 +2025-10-31 17:16:15,045 ERROR: Encountered non-finite generator loss at iter 7247; skipping update. +2025-10-31 17:16:15,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:15,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:15,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.94, mean=0.04857, std=3.464, absmax=13.37 +2025-10-31 17:16:15,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.859, mean=-0.03909, std=2.897, absmax=10.69 +2025-10-31 17:16:15,547 ERROR: Encountered non-finite generator loss at iter 7248; skipping update. +2025-10-31 17:16:15,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:15,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:15,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:15,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:15,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=15.53, mean=0.07172, std=3.211, absmax=15.53 +2025-10-31 17:16:15,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.232, max=11.63, mean=0.02576, std=2.825, absmax=11.63 +2025-10-31 17:16:16,050 ERROR: Encountered non-finite generator loss at iter 7249; skipping update. +2025-10-31 17:16:16,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:16,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:16,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.27, mean=-0.1136, std=3.024, absmax=12.86 +2025-10-31 17:16:16,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=9.367, mean=-0.1632, std=2.472, absmax=9.367 +2025-10-31 17:16:16,552 ERROR: Encountered non-finite generator loss at iter 7250; skipping update. +2025-10-31 17:16:16,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:16,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:16,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:16,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:16,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=14.15, mean=0.03227, std=3.349, absmax=14.15 +2025-10-31 17:16:16,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.664, max=12.72, mean=0.01828, std=2.93, absmax=12.72 +2025-10-31 17:16:17,053 ERROR: Encountered non-finite generator loss at iter 7251; skipping update. +2025-10-31 17:16:17,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:17,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:17,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.81, mean=-0.2331, std=3.149, absmax=14.3 +2025-10-31 17:16:17,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=9.485, mean=-0.22, std=2.623, absmax=10.61 +2025-10-31 17:16:17,557 ERROR: Encountered non-finite generator loss at iter 7252; skipping update. +2025-10-31 17:16:17,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,559 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:17,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:17,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:17,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:17,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=11.17, mean=-0.2141, std=2.543, absmax=11.32 +2025-10-31 17:16:17,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=8.629, mean=-0.1976, std=2.172, absmax=9.207 +2025-10-31 17:16:18,059 ERROR: Encountered non-finite generator loss at iter 7253; skipping update. +2025-10-31 17:16:18,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:18,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:18,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=10.62, mean=-0.1399, std=2.477, absmax=10.62 +2025-10-31 17:16:18,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.225, max=8.211, mean=-0.1624, std=2.123, absmax=8.225 +2025-10-31 17:16:18,563 ERROR: Encountered non-finite generator loss at iter 7254; skipping update. +2025-10-31 17:16:18,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:18,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:18,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:18,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:18,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.51, mean=-0.1731, std=2.542, absmax=12.51 +2025-10-31 17:16:18,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.109, max=7.581, mean=-0.1883, std=2.041, absmax=8.109 +2025-10-31 17:16:19,066 ERROR: Encountered non-finite generator loss at iter 7255; skipping update. +2025-10-31 17:16:19,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:19,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:19,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=15.04, mean=0.2365, std=3.942, absmax=15.04 +2025-10-31 17:16:19,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.04, mean=0.1579, std=3.219, absmax=11.12 +2025-10-31 17:16:19,566 ERROR: Encountered non-finite generator loss at iter 7256; skipping update. +2025-10-31 17:16:19,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:19,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:19,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:19,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:19,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.47, mean=-0.202, std=2.605, absmax=13.47 +2025-10-31 17:16:19,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.314, max=9.432, mean=-0.1969, std=2.222, absmax=9.432 +2025-10-31 17:16:20,068 ERROR: Encountered non-finite generator loss at iter 7257; skipping update. +2025-10-31 17:16:20,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:20,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:20,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.83, mean=-0.05472, std=2.842, absmax=13.27 +2025-10-31 17:16:20,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.449, max=9.271, mean=-0.05059, std=2.334, absmax=9.449 +2025-10-31 17:16:20,568 ERROR: Encountered non-finite generator loss at iter 7258; skipping update. +2025-10-31 17:16:20,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,572 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:20,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:20,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:20,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:20,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.96, mean=-0.1315, std=2.759, absmax=12.96 +2025-10-31 17:16:20,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=9.126, mean=-0.1541, std=2.154, absmax=9.287 +2025-10-31 17:16:21,071 ERROR: Encountered non-finite generator loss at iter 7259; skipping update. +2025-10-31 17:16:21,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:21,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:21,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.58, mean=-0.08813, std=3.153, absmax=13.58 +2025-10-31 17:16:21,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.594, max=8.918, mean=-0.1543, std=2.544, absmax=9.594 +2025-10-31 17:16:21,572 ERROR: Encountered non-finite generator loss at iter 7260; skipping update. +2025-10-31 17:16:21,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:21,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:21,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:21,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:21,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=17.18, mean=0.2516, std=3.762, absmax=17.18 +2025-10-31 17:16:21,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=14.27, mean=0.2422, std=3.152, absmax=14.27 +2025-10-31 17:16:22,074 ERROR: Encountered non-finite generator loss at iter 7261; skipping update. +2025-10-31 17:16:22,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:22,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:22,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.53, mean=-0.05578, std=3.455, absmax=12.53 +2025-10-31 17:16:22,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.68, mean=-0.07809, std=3.085, absmax=11.27 +2025-10-31 17:16:22,576 ERROR: Encountered non-finite generator loss at iter 7262; skipping update. +2025-10-31 17:16:22,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:22,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:22,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:22,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:22,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11, mean=-0.2717, std=2.905, absmax=11.5 +2025-10-31 17:16:22,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.131, mean=-0.2586, std=2.603, absmax=10.23 +2025-10-31 17:16:23,077 ERROR: Encountered non-finite generator loss at iter 7263; skipping update. +2025-10-31 17:16:23,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:23,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:23,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=11.36, mean=-0.2173, std=2.624, absmax=11.36 +2025-10-31 17:16:23,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.495, mean=-0.198, std=2.373, absmax=10.16 +2025-10-31 17:16:23,577 ERROR: Encountered non-finite generator loss at iter 7264; skipping update. +2025-10-31 17:16:23,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:23,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:23,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:23,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:23,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.84, mean=-0.373, std=2.985, absmax=13.41 +2025-10-31 17:16:23,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.408, mean=-0.2959, std=2.775, absmax=10.83 +2025-10-31 17:16:24,079 ERROR: Encountered non-finite generator loss at iter 7265; skipping update. +2025-10-31 17:16:24,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:24,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:24,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.08, max=11.18, mean=-0.2632, std=2.185, absmax=11.18 +2025-10-31 17:16:24,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.175, max=9.243, mean=-0.2786, std=1.944, absmax=9.243 +2025-10-31 17:16:24,581 ERROR: Encountered non-finite generator loss at iter 7266; skipping update. +2025-10-31 17:16:24,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:24,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:24,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:24,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:24,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=13.62, mean=-0.1248, std=2.79, absmax=15.04 +2025-10-31 17:16:24,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.473, mean=-0.1268, std=2.273, absmax=11.33 +2025-10-31 17:16:25,083 ERROR: Encountered non-finite generator loss at iter 7267; skipping update. +2025-10-31 17:16:25,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:25,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:25,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=11.7, mean=-0.03736, std=2.831, absmax=11.7 +2025-10-31 17:16:25,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.382, max=9.875, mean=-0.06096, std=2.3, absmax=9.875 +2025-10-31 17:16:25,585 ERROR: Encountered non-finite generator loss at iter 7268; skipping update. +2025-10-31 17:16:25,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:25,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:25,591 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:25,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:25,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=10.98, mean=-0.1639, std=3.139, absmax=14.91 +2025-10-31 17:16:25,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=9.551, mean=-0.1176, std=2.689, absmax=12.33 +2025-10-31 17:16:26,086 ERROR: Encountered non-finite generator loss at iter 7269; skipping update. +2025-10-31 17:16:26,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:26,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:26,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=12.49, mean=-0.1484, std=3.324, absmax=15.29 +2025-10-31 17:16:26,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.987, mean=-0.1274, std=2.897, absmax=10.7 +2025-10-31 17:16:26,586 ERROR: Encountered non-finite generator loss at iter 7270; skipping update. +2025-10-31 17:16:26,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:26,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:26,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:26,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:26,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=10.78, mean=-0.1748, std=2.947, absmax=12.25 +2025-10-31 17:16:26,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.77, max=8.099, mean=-0.2219, std=2.641, absmax=12.77 +2025-10-31 17:16:27,087 ERROR: Encountered non-finite generator loss at iter 7271; skipping update. +2025-10-31 17:16:27,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:27,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:27,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.53, mean=-0.2063, std=2.973, absmax=12.53 +2025-10-31 17:16:27,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.589, mean=-0.1961, std=2.445, absmax=10.3 +2025-10-31 17:16:27,589 ERROR: Encountered non-finite generator loss at iter 7272; skipping update. +2025-10-31 17:16:27,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:27,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:27,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:27,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:27,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.26, mean=-0.1538, std=2.876, absmax=15.26 +2025-10-31 17:16:27,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.573, max=10.36, mean=-0.1885, std=2.263, absmax=10.36 +2025-10-31 17:16:28,090 ERROR: Encountered non-finite generator loss at iter 7273; skipping update. +2025-10-31 17:16:28,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:28,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:28,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.69, mean=-0.1512, std=3.227, absmax=13.69 +2025-10-31 17:16:28,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.84, mean=-0.1813, std=2.743, absmax=11.84 +2025-10-31 17:16:28,596 ERROR: Encountered non-finite generator loss at iter 7274; skipping update. +2025-10-31 17:16:28,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:28,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:28,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:28,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:28,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.13, mean=-0.3047, std=2.577, absmax=12.13 +2025-10-31 17:16:28,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.844, mean=-0.3137, std=2.458, absmax=10.42 +2025-10-31 17:16:29,097 ERROR: Encountered non-finite generator loss at iter 7275; skipping update. +2025-10-31 17:16:29,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:29,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:29,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.98, mean=-0.1231, std=2.902, absmax=14.98 +2025-10-31 17:16:29,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.74, mean=-0.1694, std=2.502, absmax=11.74 +2025-10-31 17:16:29,604 ERROR: Encountered non-finite generator loss at iter 7276; skipping update. +2025-10-31 17:16:29,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:29,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:29,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:29,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:29,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.05, mean=-0.09568, std=3.16, absmax=14.05 +2025-10-31 17:16:29,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.55, mean=-0.1133, std=2.663, absmax=10.55 +2025-10-31 17:16:30,109 ERROR: Encountered non-finite generator loss at iter 7277; skipping update. +2025-10-31 17:16:30,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:30,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:30,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.44, mean=-0.1554, std=3.292, absmax=12.82 +2025-10-31 17:16:30,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.716, mean=-0.1484, std=2.725, absmax=10.78 +2025-10-31 17:16:30,610 ERROR: Encountered non-finite generator loss at iter 7278; skipping update. +2025-10-31 17:16:30,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:30,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:30,616 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:30,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:30,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.27, mean=-0.1873, std=2.553, absmax=11.27 +2025-10-31 17:16:30,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.077, mean=-0.1716, std=2.244, absmax=10.04 +2025-10-31 17:16:31,112 ERROR: Encountered non-finite generator loss at iter 7279; skipping update. +2025-10-31 17:16:31,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:31,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:31,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.36, mean=0.07155, std=3.373, absmax=13.93 +2025-10-31 17:16:31,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.87, mean=0.06364, std=2.758, absmax=11.29 +2025-10-31 17:16:31,613 ERROR: Encountered non-finite generator loss at iter 7280; skipping update. +2025-10-31 17:16:31,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:31,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:31,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:31,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:31,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.94, mean=-0.2862, std=2.765, absmax=11.99 +2025-10-31 17:16:31,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=8.998, mean=-0.2997, std=2.59, absmax=11.03 +2025-10-31 17:16:32,113 ERROR: Encountered non-finite generator loss at iter 7281; skipping update. +2025-10-31 17:16:32,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:32,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:32,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.93, mean=-0.1999, std=3.047, absmax=13.06 +2025-10-31 17:16:32,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.692, max=9.409, mean=-0.2174, std=2.693, absmax=9.692 +2025-10-31 17:16:32,612 ERROR: Encountered non-finite generator loss at iter 7282; skipping update. +2025-10-31 17:16:32,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:32,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:32,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:32,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:32,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.27, mean=-0.2258, std=2.643, absmax=12.98 +2025-10-31 17:16:32,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.945, max=10.05, mean=-0.1902, std=2.212, absmax=10.05 +2025-10-31 17:16:33,112 ERROR: Encountered non-finite generator loss at iter 7283; skipping update. +2025-10-31 17:16:33,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,115 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:33,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:33,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=14.89, mean=-0.09342, std=3.742, absmax=14.89 +2025-10-31 17:16:33,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=12.01, mean=-0.1497, std=3.121, absmax=12.01 +2025-10-31 17:16:33,612 ERROR: Encountered non-finite generator loss at iter 7284; skipping update. +2025-10-31 17:16:33,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:33,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:33,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:33,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:33,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.24, mean=-0.08222, std=3.299, absmax=14.19 +2025-10-31 17:16:33,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.16, mean=-0.1185, std=2.647, absmax=11.16 +2025-10-31 17:16:34,113 ERROR: Encountered non-finite generator loss at iter 7285; skipping update. +2025-10-31 17:16:34,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:34,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:34,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.21, mean=-0.2882, std=3.025, absmax=12.91 +2025-10-31 17:16:34,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=8.708, mean=-0.3232, std=2.597, absmax=11.01 +2025-10-31 17:16:34,616 ERROR: Encountered non-finite generator loss at iter 7286; skipping update. +2025-10-31 17:16:34,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:34,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:34,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:34,624 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:34,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.03, mean=-0.0583, std=3.008, absmax=14.32 +2025-10-31 17:16:34,626 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.56, mean=0.0155, std=2.735, absmax=11.56 +2025-10-31 17:16:35,118 ERROR: Encountered non-finite generator loss at iter 7287; skipping update. +2025-10-31 17:16:35,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:35,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:35,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.85, mean=-0.1275, std=3.273, absmax=13.85 +2025-10-31 17:16:35,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=9.118, mean=-0.1398, std=2.654, absmax=11.42 +2025-10-31 17:16:35,621 ERROR: Encountered non-finite generator loss at iter 7288; skipping update. +2025-10-31 17:16:35,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:35,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:35,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:35,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:35,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=12.42, mean=-0.0972, std=2.995, absmax=14.77 +2025-10-31 17:16:35,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=9.717, mean=-0.1152, std=2.381, absmax=9.824 +2025-10-31 17:16:36,122 ERROR: Encountered non-finite generator loss at iter 7289; skipping update. +2025-10-31 17:16:36,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:36,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:36,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=15.9, mean=-0.2515, std=3.395, absmax=15.9 +2025-10-31 17:16:36,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=11, mean=-0.2786, std=2.953, absmax=12 +2025-10-31 17:16:36,623 ERROR: Encountered non-finite generator loss at iter 7290; skipping update. +2025-10-31 17:16:36,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:36,629 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:36,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:36,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:36,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=10.49, mean=-0.3141, std=3.046, absmax=13.9 +2025-10-31 17:16:36,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=9.33, mean=-0.2978, std=2.64, absmax=11.45 +2025-10-31 17:16:37,125 ERROR: Encountered non-finite generator loss at iter 7291; skipping update. +2025-10-31 17:16:37,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,128 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:37,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:37,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.68, mean=0.03236, std=2.877, absmax=13.68 +2025-10-31 17:16:37,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.152, max=11.56, mean=0.01959, std=2.489, absmax=11.56 +2025-10-31 17:16:37,627 ERROR: Encountered non-finite generator loss at iter 7292; skipping update. +2025-10-31 17:16:37,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:37,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:37,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:37,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:37,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=14.69, mean=-0.05592, std=3.358, absmax=14.69 +2025-10-31 17:16:37,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=11.3, mean=-0.01112, std=2.929, absmax=12.4 +2025-10-31 17:16:38,129 ERROR: Encountered non-finite generator loss at iter 7293; skipping update. +2025-10-31 17:16:38,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:38,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:38,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.96, mean=0.1419, std=3.483, absmax=12.96 +2025-10-31 17:16:38,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=11.78, mean=0.1493, std=2.884, absmax=11.88 +2025-10-31 17:16:38,631 ERROR: Encountered non-finite generator loss at iter 7294; skipping update. +2025-10-31 17:16:38,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:38,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:38,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:38,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:38,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.74, mean=-0.1567, std=2.779, absmax=13.74 +2025-10-31 17:16:38,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=10.44, mean=-0.1853, std=2.43, absmax=11.23 +2025-10-31 17:16:39,134 ERROR: Encountered non-finite generator loss at iter 7295; skipping update. +2025-10-31 17:16:39,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:39,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:39,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.88, mean=-0.04079, std=3.302, absmax=12.88 +2025-10-31 17:16:39,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.883, max=10.54, mean=-0.08122, std=2.809, absmax=10.54 +2025-10-31 17:16:39,636 ERROR: Encountered non-finite generator loss at iter 7296; skipping update. +2025-10-31 17:16:39,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:39,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:39,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:39,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:39,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.58, mean=-0.1631, std=2.781, absmax=14.58 +2025-10-31 17:16:39,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.099, max=9.238, mean=-0.187, std=2.323, absmax=9.238 +2025-10-31 17:16:40,138 ERROR: Encountered non-finite generator loss at iter 7297; skipping update. +2025-10-31 17:16:40,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:40,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:40,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.9, mean=-0.1666, std=2.491, absmax=12.49 +2025-10-31 17:16:40,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.886, max=7.091, mean=-0.1593, std=2.093, absmax=9.886 +2025-10-31 17:16:40,641 ERROR: Encountered non-finite generator loss at iter 7298; skipping update. +2025-10-31 17:16:40,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:40,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:40,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:40,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:40,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=11.93, mean=-0.06914, std=2.784, absmax=14.02 +2025-10-31 17:16:40,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=8.263, mean=-0.04576, std=2.318, absmax=9.414 +2025-10-31 17:16:41,145 ERROR: Encountered non-finite generator loss at iter 7299; skipping update. +2025-10-31 17:16:41,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:41,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:41,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.9, mean=-0.1138, std=3.053, absmax=12.9 +2025-10-31 17:16:41,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.598, max=9.705, mean=-0.09672, std=2.458, absmax=9.705 +2025-10-31 17:16:41,648 ERROR: Encountered non-finite generator loss at iter 7300; skipping update. +2025-10-31 17:16:41,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:41,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:41,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:41,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:41,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.65, mean=-0.1617, std=3.297, absmax=14.65 +2025-10-31 17:16:41,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.445, max=11.7, mean=-0.1393, std=2.748, absmax=11.7 +2025-10-31 17:16:41,661 INFO: [29..][epoch: 0, step: 7,300, lr:(1.500e-04,)] [eta: 1 day, 16:16:04, time (data): 0.503 (0.000)] +2025-10-31 17:16:42,154 ERROR: Encountered non-finite generator loss at iter 7301; skipping update. +2025-10-31 17:16:42,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:42,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:42,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.21, mean=-0.234, std=3.473, absmax=13.21 +2025-10-31 17:16:42,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.465, mean=-0.1679, std=2.893, absmax=10.4 +2025-10-31 17:16:42,656 ERROR: Encountered non-finite generator loss at iter 7302; skipping update. +2025-10-31 17:16:42,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:42,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:42,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:42,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:42,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.24, mean=-0.2506, std=2.993, absmax=12.97 +2025-10-31 17:16:42,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=8.28, mean=-0.2786, std=2.555, absmax=11.35 +2025-10-31 17:16:43,159 ERROR: Encountered non-finite generator loss at iter 7303; skipping update. +2025-10-31 17:16:43,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:43,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:43,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.5, max=11.58, mean=-0.1992, std=2.566, absmax=11.58 +2025-10-31 17:16:43,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.964, max=8.707, mean=-0.1984, std=2.201, absmax=8.964 +2025-10-31 17:16:43,664 ERROR: Encountered non-finite generator loss at iter 7304; skipping update. +2025-10-31 17:16:43,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:43,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:43,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:43,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:43,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=14.96, mean=-0.003755, std=3.104, absmax=14.96 +2025-10-31 17:16:43,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=12.55, mean=-0.01059, std=2.596, absmax=12.55 +2025-10-31 17:16:44,166 ERROR: Encountered non-finite generator loss at iter 7305; skipping update. +2025-10-31 17:16:44,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:44,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:44,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=15.49, mean=-0.188, std=3.182, absmax=15.49 +2025-10-31 17:16:44,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.578, max=12.08, mean=-0.1878, std=2.506, absmax=12.08 +2025-10-31 17:16:44,671 ERROR: Encountered non-finite generator loss at iter 7306; skipping update. +2025-10-31 17:16:44,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,673 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,673 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,674 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:44,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:44,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:44,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:44,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.63, mean=-0.2306, std=2.515, absmax=12.63 +2025-10-31 17:16:44,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=9.646, mean=-0.2125, std=2.053, absmax=9.646 +2025-10-31 17:16:45,173 ERROR: Encountered non-finite generator loss at iter 7307; skipping update. +2025-10-31 17:16:45,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,179 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:45,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:45,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=16.02, mean=0.08638, std=3.622, absmax=16.02 +2025-10-31 17:16:45,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.65, mean=0.07587, std=3.132, absmax=11.65 +2025-10-31 17:16:45,676 ERROR: Encountered non-finite generator loss at iter 7308; skipping update. +2025-10-31 17:16:45,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:45,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:45,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:45,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:45,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=11.83, mean=-0.1935, std=2.372, absmax=11.83 +2025-10-31 17:16:45,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.56, mean=-0.2374, std=2.194, absmax=10.56 +2025-10-31 17:16:46,179 ERROR: Encountered non-finite generator loss at iter 7309; skipping update. +2025-10-31 17:16:46,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:46,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:46,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=11.94, mean=-0.1939, std=2.881, absmax=15.01 +2025-10-31 17:16:46,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.22, max=9.073, mean=-0.1877, std=2.408, absmax=12.22 +2025-10-31 17:16:46,681 ERROR: Encountered non-finite generator loss at iter 7310; skipping update. +2025-10-31 17:16:46,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:46,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:46,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:46,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:46,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.17, max=15.12, mean=-0.2827, std=3.493, absmax=16.17 +2025-10-31 17:16:46,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.03, mean=-0.2342, std=2.757, absmax=11.03 +2025-10-31 17:16:47,184 ERROR: Encountered non-finite generator loss at iter 7311; skipping update. +2025-10-31 17:16:47,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:47,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:47,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=13.92, mean=-0.01712, std=3.298, absmax=15.55 +2025-10-31 17:16:47,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.86, max=11.54, mean=-0.06724, std=2.705, absmax=12.86 +2025-10-31 17:16:47,688 ERROR: Encountered non-finite generator loss at iter 7312; skipping update. +2025-10-31 17:16:47,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:47,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:47,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:47,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:47,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=11.54, mean=-0.04579, std=2.586, absmax=11.54 +2025-10-31 17:16:47,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.051, max=9.051, mean=-0.098, std=2.32, absmax=9.051 +2025-10-31 17:16:48,191 ERROR: Encountered non-finite generator loss at iter 7313; skipping update. +2025-10-31 17:16:48,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:48,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:48,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=14.24, mean=-0.1745, std=3.245, absmax=15.14 +2025-10-31 17:16:48,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=11.36, mean=-0.2028, std=2.753, absmax=11.48 +2025-10-31 17:16:48,694 ERROR: Encountered non-finite generator loss at iter 7314; skipping update. +2025-10-31 17:16:48,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:48,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:48,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:48,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:48,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=14.55, mean=-0.08837, std=3.125, absmax=14.62 +2025-10-31 17:16:48,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.85, mean=-0.1271, std=2.848, absmax=11.85 +2025-10-31 17:16:49,196 ERROR: Encountered non-finite generator loss at iter 7315; skipping update. +2025-10-31 17:16:49,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,198 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,199 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:49,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:49,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.55, mean=-0.1336, std=3.281, absmax=15.55 +2025-10-31 17:16:49,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=11.73, mean=-0.1503, std=2.798, absmax=11.73 +2025-10-31 17:16:49,698 ERROR: Encountered non-finite generator loss at iter 7316; skipping update. +2025-10-31 17:16:49,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,700 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,701 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,702 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:49,703 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:49,704 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:49,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:49,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.74, mean=-0.07957, std=2.73, absmax=12.76 +2025-10-31 17:16:49,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=9.443, mean=-0.08196, std=2.369, absmax=9.867 +2025-10-31 17:16:50,199 ERROR: Encountered non-finite generator loss at iter 7317; skipping update. +2025-10-31 17:16:50,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:50,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:50,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=15.96, mean=0.04768, std=4.058, absmax=15.96 +2025-10-31 17:16:50,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.83, mean=0.04963, std=3.374, absmax=11.83 +2025-10-31 17:16:50,700 ERROR: Encountered non-finite generator loss at iter 7318; skipping update. +2025-10-31 17:16:50,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:50,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:50,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:50,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:50,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.72, mean=-0.118, std=2.688, absmax=12.38 +2025-10-31 17:16:50,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.41, mean=-0.09221, std=2.374, absmax=11.54 +2025-10-31 17:16:51,201 ERROR: Encountered non-finite generator loss at iter 7319; skipping update. +2025-10-31 17:16:51,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:51,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:51,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=16.58, mean=-0.3055, std=3.002, absmax=16.58 +2025-10-31 17:16:51,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.5, max=9.36, mean=-0.2948, std=2.729, absmax=13.5 +2025-10-31 17:16:51,704 ERROR: Encountered non-finite generator loss at iter 7320; skipping update. +2025-10-31 17:16:51,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,709 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,710 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:51,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:51,712 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:51,713 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:51,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.49, mean=-0.1866, std=3.293, absmax=14.49 +2025-10-31 17:16:51,714 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=11.03, mean=-0.1978, std=2.726, absmax=11.84 +2025-10-31 17:16:52,207 ERROR: Encountered non-finite generator loss at iter 7321; skipping update. +2025-10-31 17:16:52,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:52,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:52,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.65, mean=-0.09747, std=3.236, absmax=13.99 +2025-10-31 17:16:52,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=9.963, mean=-0.08989, std=2.726, absmax=11.79 +2025-10-31 17:16:52,712 ERROR: Encountered non-finite generator loss at iter 7322; skipping update. +2025-10-31 17:16:52,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,714 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:52,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:52,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:52,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:52,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.7, mean=-0.1126, std=2.448, absmax=11.96 +2025-10-31 17:16:52,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.316, mean=-0.1674, std=2.16, absmax=10.02 +2025-10-31 17:16:53,212 ERROR: Encountered non-finite generator loss at iter 7323; skipping update. +2025-10-31 17:16:53,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:53,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:53,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.62, mean=-0.03899, std=2.647, absmax=13.72 +2025-10-31 17:16:53,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.229, mean=-0.01529, std=2.284, absmax=10.07 +2025-10-31 17:16:53,714 ERROR: Encountered non-finite generator loss at iter 7324; skipping update. +2025-10-31 17:16:53,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,717 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,717 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,718 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,719 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:53,720 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:53,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:53,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:53,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=14.85, mean=-0.1849, std=3.178, absmax=14.85 +2025-10-31 17:16:53,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.67, mean=-0.2256, std=2.535, absmax=11.67 +2025-10-31 17:16:54,216 ERROR: Encountered non-finite generator loss at iter 7325; skipping update. +2025-10-31 17:16:54,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,219 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,221 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,222 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:54,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:54,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.75, mean=-0.1436, std=3.206, absmax=13.75 +2025-10-31 17:16:54,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=12.39, mean=-0.1555, std=2.73, absmax=12.39 +2025-10-31 17:16:54,719 ERROR: Encountered non-finite generator loss at iter 7326; skipping update. +2025-10-31 17:16:54,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:54,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:54,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:54,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:54,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.3, mean=-0.1538, std=3.082, absmax=13.98 +2025-10-31 17:16:54,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.745, max=8.897, mean=-0.1565, std=2.382, absmax=9.745 +2025-10-31 17:16:55,222 ERROR: Encountered non-finite generator loss at iter 7327; skipping update. +2025-10-31 17:16:55,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:55,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:55,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14, mean=-0.1737, std=3.137, absmax=14 +2025-10-31 17:16:55,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=7.695, mean=-0.1527, std=2.425, absmax=10.52 +2025-10-31 17:16:55,724 ERROR: Encountered non-finite generator loss at iter 7328; skipping update. +2025-10-31 17:16:55,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:55,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:55,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:55,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:55,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.73, mean=-0.06665, std=2.835, absmax=13.73 +2025-10-31 17:16:55,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.734, max=11.28, mean=-0.07948, std=2.325, absmax=11.28 +2025-10-31 17:16:56,225 ERROR: Encountered non-finite generator loss at iter 7329; skipping update. +2025-10-31 17:16:56,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:56,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:56,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.63, mean=0.08155, std=3.442, absmax=12.65 +2025-10-31 17:16:56,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.97, max=11.96, mean=0.1012, std=3.132, absmax=13.97 +2025-10-31 17:16:56,728 ERROR: Encountered non-finite generator loss at iter 7330; skipping update. +2025-10-31 17:16:56,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:56,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:56,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:56,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:56,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.27, mean=-0.1885, std=2.95, absmax=14.27 +2025-10-31 17:16:56,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.741, max=11.97, mean=-0.1954, std=2.455, absmax=11.97 +2025-10-31 17:16:57,231 ERROR: Encountered non-finite generator loss at iter 7331; skipping update. +2025-10-31 17:16:57,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:57,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:57,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=11.46, mean=-0.3883, std=2.803, absmax=11.53 +2025-10-31 17:16:57,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.678, max=7.861, mean=-0.3404, std=2.423, absmax=9.678 +2025-10-31 17:16:57,734 ERROR: Encountered non-finite generator loss at iter 7332; skipping update. +2025-10-31 17:16:57,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,736 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,737 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:57,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:57,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:57,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:57,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.24, mean=0.03012, std=3.087, absmax=14.24 +2025-10-31 17:16:57,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=9.728, mean=0.007424, std=2.506, absmax=9.872 +2025-10-31 17:16:58,235 ERROR: Encountered non-finite generator loss at iter 7333; skipping update. +2025-10-31 17:16:58,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:58,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:58,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=14.22, mean=-0.1348, std=2.583, absmax=14.22 +2025-10-31 17:16:58,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.298, max=11.2, mean=-0.1569, std=2.152, absmax=11.2 +2025-10-31 17:16:58,737 ERROR: Encountered non-finite generator loss at iter 7334; skipping update. +2025-10-31 17:16:58,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:58,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:58,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:58,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:58,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.49, mean=-0.1826, std=2.747, absmax=13.09 +2025-10-31 17:16:58,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.541, mean=-0.1932, std=2.26, absmax=10.12 +2025-10-31 17:16:59,238 ERROR: Encountered non-finite generator loss at iter 7335; skipping update. +2025-10-31 17:16:59,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,241 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:59,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:59,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.25, max=13.91, mean=-0.2194, std=3.144, absmax=17.25 +2025-10-31 17:16:59,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.04, mean=-0.2266, std=2.516, absmax=10.9 +2025-10-31 17:16:59,740 ERROR: Encountered non-finite generator loss at iter 7336; skipping update. +2025-10-31 17:16:59,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:16:59,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:16:59,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:16:59,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:16:59,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.03, mean=-0.2147, std=3.309, absmax=12.52 +2025-10-31 17:16:59,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.868, max=9.315, mean=-0.1684, std=2.675, absmax=9.868 +2025-10-31 17:17:00,241 ERROR: Encountered non-finite generator loss at iter 7337; skipping update. +2025-10-31 17:17:00,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,245 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:00,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:00,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.57, mean=-0.1781, std=3.213, absmax=15.57 +2025-10-31 17:17:00,250 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.63, max=11.28, mean=-0.1459, std=2.626, absmax=13.63 +2025-10-31 17:17:00,742 ERROR: Encountered non-finite generator loss at iter 7338; skipping update. +2025-10-31 17:17:00,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,745 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,746 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:00,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:00,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:00,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:00,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.2, mean=0.0261, std=3.014, absmax=13.2 +2025-10-31 17:17:00,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.481, max=10.98, mean=0.004719, std=2.482, absmax=10.98 +2025-10-31 17:17:01,242 ERROR: Encountered non-finite generator loss at iter 7339; skipping update. +2025-10-31 17:17:01,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:01,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:01,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.96, mean=-0.3685, std=3.001, absmax=12.53 +2025-10-31 17:17:01,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=8.131, mean=-0.3353, std=2.544, absmax=10.53 +2025-10-31 17:17:01,744 ERROR: Encountered non-finite generator loss at iter 7340; skipping update. +2025-10-31 17:17:01,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:01,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:01,750 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:01,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:01,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.79, mean=-0.1931, std=2.701, absmax=12.5 +2025-10-31 17:17:01,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.704, max=9.263, mean=-0.1515, std=2.429, absmax=9.704 +2025-10-31 17:17:02,245 ERROR: Encountered non-finite generator loss at iter 7341; skipping update. +2025-10-31 17:17:02,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:02,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:02,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.7, mean=0.009647, std=3.529, absmax=13.7 +2025-10-31 17:17:02,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.707, max=10.03, mean=-0.02499, std=2.808, absmax=10.03 +2025-10-31 17:17:02,745 ERROR: Encountered non-finite generator loss at iter 7342; skipping update. +2025-10-31 17:17:02,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:02,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:02,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:02,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:02,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.07, mean=-0.05427, std=3.639, absmax=14.07 +2025-10-31 17:17:02,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=10.47, mean=-0.09585, std=3.008, absmax=11.14 +2025-10-31 17:17:03,246 ERROR: Encountered non-finite generator loss at iter 7343; skipping update. +2025-10-31 17:17:03,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:03,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:03,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.69, mean=-0.0438, std=3.133, absmax=13.69 +2025-10-31 17:17:03,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=11.12, mean=-0.01281, std=2.734, absmax=11.12 +2025-10-31 17:17:03,749 ERROR: Encountered non-finite generator loss at iter 7344; skipping update. +2025-10-31 17:17:03,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:03,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:03,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:03,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:03,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.61, mean=-0.3446, std=3.362, absmax=12.88 +2025-10-31 17:17:03,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=10.74, mean=-0.3313, std=2.882, absmax=10.96 +2025-10-31 17:17:04,249 ERROR: Encountered non-finite generator loss at iter 7345; skipping update. +2025-10-31 17:17:04,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:04,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:04,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=17.17, mean=-0.1688, std=2.952, absmax=17.17 +2025-10-31 17:17:04,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.47, mean=-0.1764, std=2.451, absmax=11.47 +2025-10-31 17:17:04,751 ERROR: Encountered non-finite generator loss at iter 7346; skipping update. +2025-10-31 17:17:04,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,754 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,755 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,756 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:04,757 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:04,758 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:04,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:04,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=15.96, mean=-0.2675, std=3.646, absmax=15.96 +2025-10-31 17:17:04,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=13.39, mean=-0.2506, std=3.017, absmax=13.39 +2025-10-31 17:17:05,252 ERROR: Encountered non-finite generator loss at iter 7347; skipping update. +2025-10-31 17:17:05,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:05,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:05,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.76, mean=-0.01638, std=3.608, absmax=15.76 +2025-10-31 17:17:05,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=14.28, mean=-0.02864, std=3.122, absmax=14.28 +2025-10-31 17:17:05,752 ERROR: Encountered non-finite generator loss at iter 7348; skipping update. +2025-10-31 17:17:05,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:05,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:05,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:05,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:05,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.51, mean=-0.1078, std=2.675, absmax=11.51 +2025-10-31 17:17:05,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.967, max=8.859, mean=-0.1272, std=2.206, absmax=8.967 +2025-10-31 17:17:06,253 ERROR: Encountered non-finite generator loss at iter 7349; skipping update. +2025-10-31 17:17:06,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,256 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:06,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:06,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.99, mean=-0.007138, std=2.91, absmax=13.99 +2025-10-31 17:17:06,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.273, max=10.1, mean=-0.0516, std=2.282, absmax=10.1 +2025-10-31 17:17:06,753 ERROR: Encountered non-finite generator loss at iter 7350; skipping update. +2025-10-31 17:17:06,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:06,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:06,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:06,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:06,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.29, mean=-0.1818, std=2.485, absmax=15.29 +2025-10-31 17:17:06,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.661, max=10.97, mean=-0.1451, std=2.132, absmax=10.97 +2025-10-31 17:17:07,254 ERROR: Encountered non-finite generator loss at iter 7351; skipping update. +2025-10-31 17:17:07,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:07,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:07,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=11.54, mean=-0.2698, std=2.717, absmax=13.34 +2025-10-31 17:17:07,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.851, max=8.05, mean=-0.2656, std=2.193, absmax=9.851 +2025-10-31 17:17:07,759 ERROR: Encountered non-finite generator loss at iter 7352; skipping update. +2025-10-31 17:17:07,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:07,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:07,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:07,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:07,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.85, mean=-0.1156, std=3.356, absmax=14.85 +2025-10-31 17:17:07,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=12.11, mean=-0.1552, std=2.912, absmax=12.11 +2025-10-31 17:17:08,262 ERROR: Encountered non-finite generator loss at iter 7353; skipping update. +2025-10-31 17:17:08,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:08,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:08,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.51, mean=-0.128, std=2.402, absmax=12.51 +2025-10-31 17:17:08,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=11.37, mean=-0.1122, std=2.135, absmax=11.37 +2025-10-31 17:17:08,769 ERROR: Encountered non-finite generator loss at iter 7354; skipping update. +2025-10-31 17:17:08,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,773 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:08,774 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:08,775 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:08,776 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:08,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.69, mean=-0.07206, std=3.708, absmax=14.69 +2025-10-31 17:17:08,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=14.43, mean=-0.04553, std=3.365, absmax=14.43 +2025-10-31 17:17:09,273 ERROR: Encountered non-finite generator loss at iter 7355; skipping update. +2025-10-31 17:17:09,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:09,278 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:09,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.6, mean=-0.09085, std=2.664, absmax=11.6 +2025-10-31 17:17:09,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.396, max=8.534, mean=-0.08266, std=2.196, absmax=8.534 +2025-10-31 17:17:09,776 ERROR: Encountered non-finite generator loss at iter 7356; skipping update. +2025-10-31 17:17:09,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:09,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:09,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:09,784 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:09,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.54, mean=-0.1602, std=2.839, absmax=11.8 +2025-10-31 17:17:09,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.984, max=8.918, mean=-0.1539, std=2.417, absmax=9.984 +2025-10-31 17:17:10,279 ERROR: Encountered non-finite generator loss at iter 7357; skipping update. +2025-10-31 17:17:10,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:10,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:10,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.76, mean=-0.1602, std=3.181, absmax=12.85 +2025-10-31 17:17:10,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=10.57, mean=-0.1978, std=2.78, absmax=11.49 +2025-10-31 17:17:10,781 ERROR: Encountered non-finite generator loss at iter 7358; skipping update. +2025-10-31 17:17:10,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:10,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:10,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:10,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:10,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.18, mean=-0.1264, std=3.136, absmax=14.18 +2025-10-31 17:17:10,789 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.891, max=10.17, mean=-0.1336, std=2.591, absmax=10.17 +2025-10-31 17:17:11,280 ERROR: Encountered non-finite generator loss at iter 7359; skipping update. +2025-10-31 17:17:11,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:11,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:11,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.81, max=14.02, mean=-0.01823, std=3.298, absmax=16.81 +2025-10-31 17:17:11,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.71, mean=-0.01627, std=2.747, absmax=10.71 +2025-10-31 17:17:11,784 ERROR: Encountered non-finite generator loss at iter 7360; skipping update. +2025-10-31 17:17:11,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,788 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:11,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:11,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:11,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:11,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=10.65, mean=-0.2088, std=2.473, absmax=12.23 +2025-10-31 17:17:11,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.666, max=8.825, mean=-0.2316, std=2.06, absmax=8.825 +2025-10-31 17:17:12,286 ERROR: Encountered non-finite generator loss at iter 7361; skipping update. +2025-10-31 17:17:12,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:12,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:12,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=11.92, mean=-0.3033, std=2.458, absmax=11.92 +2025-10-31 17:17:12,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=7.798, mean=-0.3055, std=2.107, absmax=9.882 +2025-10-31 17:17:12,789 ERROR: Encountered non-finite generator loss at iter 7362; skipping update. +2025-10-31 17:17:12,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:12,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:12,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:12,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:12,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=9.78, mean=-0.1782, std=2.685, absmax=12.45 +2025-10-31 17:17:12,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.549, mean=-0.197, std=2.302, absmax=10.54 +2025-10-31 17:17:13,291 ERROR: Encountered non-finite generator loss at iter 7363; skipping update. +2025-10-31 17:17:13,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:13,298 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:13,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.95, mean=-0.1271, std=3.611, absmax=13.95 +2025-10-31 17:17:13,300 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.75, mean=-0.1725, std=3.079, absmax=11.29 +2025-10-31 17:17:13,793 ERROR: Encountered non-finite generator loss at iter 7364; skipping update. +2025-10-31 17:17:13,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:13,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:13,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:13,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:13,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.56, mean=-0.2074, std=2.683, absmax=12.44 +2025-10-31 17:17:13,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.895, mean=-0.1937, std=2.292, absmax=10 +2025-10-31 17:17:14,294 ERROR: Encountered non-finite generator loss at iter 7365; skipping update. +2025-10-31 17:17:14,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,298 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,300 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,301 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,302 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:14,303 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:14,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.42, mean=-0.2761, std=2.865, absmax=12.63 +2025-10-31 17:17:14,305 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.889, max=10.02, mean=-0.243, std=2.54, absmax=10.02 +2025-10-31 17:17:14,797 ERROR: Encountered non-finite generator loss at iter 7366; skipping update. +2025-10-31 17:17:14,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:14,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:14,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:14,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:14,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.2, mean=0.05766, std=2.733, absmax=12.67 +2025-10-31 17:17:14,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.741, mean=0.004102, std=2.237, absmax=11.33 +2025-10-31 17:17:15,298 ERROR: Encountered non-finite generator loss at iter 7367; skipping update. +2025-10-31 17:17:15,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:15,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:15,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=10.85, mean=-0.3674, std=3.137, absmax=12.29 +2025-10-31 17:17:15,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.978, mean=-0.4009, std=2.82, absmax=10.23 +2025-10-31 17:17:15,801 ERROR: Encountered non-finite generator loss at iter 7368; skipping update. +2025-10-31 17:17:15,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,803 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:15,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:15,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:15,808 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:15,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.69, mean=-0.08056, std=3.515, absmax=15.69 +2025-10-31 17:17:15,810 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.55, max=13.94, mean=-0.07337, std=3.039, absmax=13.94 +2025-10-31 17:17:16,303 ERROR: Encountered non-finite generator loss at iter 7369; skipping update. +2025-10-31 17:17:16,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:16,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:16,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=20.41, mean=-0.09285, std=3.002, absmax=20.41 +2025-10-31 17:17:16,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.665, max=16.24, mean=-0.1111, std=2.515, absmax=16.24 +2025-10-31 17:17:16,805 ERROR: Encountered non-finite generator loss at iter 7370; skipping update. +2025-10-31 17:17:16,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:16,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:16,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:16,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:16,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=10.37, mean=-0.05569, std=2.657, absmax=13.11 +2025-10-31 17:17:16,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.4, mean=-0.03601, std=2.469, absmax=10.58 +2025-10-31 17:17:17,307 ERROR: Encountered non-finite generator loss at iter 7371; skipping update. +2025-10-31 17:17:17,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:17,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:17,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.26, mean=0.1401, std=3.292, absmax=13.74 +2025-10-31 17:17:17,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.34, mean=0.08554, std=2.76, absmax=11.34 +2025-10-31 17:17:17,808 ERROR: Encountered non-finite generator loss at iter 7372; skipping update. +2025-10-31 17:17:17,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,811 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:17,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:17,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:17,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:17,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.13, max=12.86, mean=-0.03329, std=2.529, absmax=12.86 +2025-10-31 17:17:17,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.927, max=9.003, mean=-0.1216, std=2.089, absmax=9.003 +2025-10-31 17:17:18,310 ERROR: Encountered non-finite generator loss at iter 7373; skipping update. +2025-10-31 17:17:18,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:18,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:18,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.63, mean=-0.1352, std=2.646, absmax=12.63 +2025-10-31 17:17:18,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.55, mean=-0.1797, std=2.243, absmax=10.09 +2025-10-31 17:17:18,813 ERROR: Encountered non-finite generator loss at iter 7374; skipping update. +2025-10-31 17:17:18,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:18,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:18,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:18,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:18,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=19.57, mean=-0.3326, std=3.311, absmax=19.57 +2025-10-31 17:17:18,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.96, max=9.114, mean=-0.2762, std=2.73, absmax=13.96 +2025-10-31 17:17:19,314 ERROR: Encountered non-finite generator loss at iter 7375; skipping update. +2025-10-31 17:17:19,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:19,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:19,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=10.45, mean=-0.3609, std=2.887, absmax=15.14 +2025-10-31 17:17:19,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=9.181, mean=-0.3791, std=2.566, absmax=12.57 +2025-10-31 17:17:19,816 ERROR: Encountered non-finite generator loss at iter 7376; skipping update. +2025-10-31 17:17:19,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:19,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:19,823 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:19,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:19,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.22, mean=-0.09206, std=2.76, absmax=12.89 +2025-10-31 17:17:19,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.552, mean=-0.08751, std=2.309, absmax=10.15 +2025-10-31 17:17:20,316 ERROR: Encountered non-finite generator loss at iter 7377; skipping update. +2025-10-31 17:17:20,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:20,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:20,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.5, mean=-0.08178, std=2.601, absmax=15.5 +2025-10-31 17:17:20,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.192, max=13.28, mean=-0.1318, std=2.212, absmax=13.28 +2025-10-31 17:17:20,818 ERROR: Encountered non-finite generator loss at iter 7378; skipping update. +2025-10-31 17:17:20,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:20,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:20,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:20,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:20,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.86, mean=-0.1952, std=3.255, absmax=13.85 +2025-10-31 17:17:20,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.921, mean=-0.2059, std=2.694, absmax=10.51 +2025-10-31 17:17:21,323 ERROR: Encountered non-finite generator loss at iter 7379; skipping update. +2025-10-31 17:17:21,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:21,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:21,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.24, mean=-0.296, std=2.785, absmax=14.24 +2025-10-31 17:17:21,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.563, max=13.66, mean=-0.2938, std=2.405, absmax=13.66 +2025-10-31 17:17:21,825 ERROR: Encountered non-finite generator loss at iter 7380; skipping update. +2025-10-31 17:17:21,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:21,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:21,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:21,833 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:21,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.99, mean=-0.09105, std=2.862, absmax=12.99 +2025-10-31 17:17:21,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.77, max=9.482, mean=-0.1099, std=2.296, absmax=9.77 +2025-10-31 17:17:22,327 ERROR: Encountered non-finite generator loss at iter 7381; skipping update. +2025-10-31 17:17:22,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,331 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:22,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:22,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.31, max=14.42, mean=-0.1966, std=3.467, absmax=16.31 +2025-10-31 17:17:22,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.53, max=10.22, mean=-0.1996, std=3.157, absmax=13.53 +2025-10-31 17:17:22,829 ERROR: Encountered non-finite generator loss at iter 7382; skipping update. +2025-10-31 17:17:22,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:22,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:22,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:22,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:22,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.2, mean=-0.1674, std=2.716, absmax=13.2 +2025-10-31 17:17:22,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.53, mean=-0.1408, std=2.249, absmax=10.53 +2025-10-31 17:17:23,330 ERROR: Encountered non-finite generator loss at iter 7383; skipping update. +2025-10-31 17:17:23,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:23,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:23,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.1, mean=-0.1315, std=2.959, absmax=12.12 +2025-10-31 17:17:23,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.367, max=9.494, mean=-0.1292, std=2.509, absmax=9.494 +2025-10-31 17:17:23,830 ERROR: Encountered non-finite generator loss at iter 7384; skipping update. +2025-10-31 17:17:23,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,833 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:23,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:23,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:23,836 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:23,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.56, mean=-0.1696, std=2.768, absmax=14.56 +2025-10-31 17:17:23,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.232, max=11.76, mean=-0.1621, std=2.271, absmax=11.76 +2025-10-31 17:17:24,329 ERROR: Encountered non-finite generator loss at iter 7385; skipping update. +2025-10-31 17:17:24,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:24,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:24,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.14, mean=-0.1272, std=3.378, absmax=15.14 +2025-10-31 17:17:24,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.54, max=12.96, mean=-0.1092, std=3.11, absmax=12.96 +2025-10-31 17:17:24,831 ERROR: Encountered non-finite generator loss at iter 7386; skipping update. +2025-10-31 17:17:24,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:24,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:24,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:24,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:24,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=10.95, mean=-0.3176, std=2.83, absmax=11.58 +2025-10-31 17:17:24,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.718, mean=-0.3817, std=2.475, absmax=10.07 +2025-10-31 17:17:25,332 ERROR: Encountered non-finite generator loss at iter 7387; skipping update. +2025-10-31 17:17:25,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,335 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,336 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,337 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:25,340 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:25,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=18.05, mean=-0.1136, std=3.109, absmax=18.05 +2025-10-31 17:17:25,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=12.03, mean=-0.136, std=2.451, absmax=12.03 +2025-10-31 17:17:25,834 ERROR: Encountered non-finite generator loss at iter 7388; skipping update. +2025-10-31 17:17:25,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,837 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:25,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:25,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:25,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:25,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=12.28, mean=-0.2147, std=2.625, absmax=12.28 +2025-10-31 17:17:25,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=8.861, mean=-0.2373, std=2.287, absmax=9.228 +2025-10-31 17:17:26,334 ERROR: Encountered non-finite generator loss at iter 7389; skipping update. +2025-10-31 17:17:26,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:26,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:26,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.93, mean=-0.005199, std=3.193, absmax=13.93 +2025-10-31 17:17:26,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.189, max=10.97, mean=-0.03346, std=2.567, absmax=10.97 +2025-10-31 17:17:26,835 ERROR: Encountered non-finite generator loss at iter 7390; skipping update. +2025-10-31 17:17:26,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:26,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:26,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:26,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:26,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=14.9, mean=-0.07271, std=3.475, absmax=14.9 +2025-10-31 17:17:26,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=14.62, mean=-0.05332, std=3.204, absmax=14.62 +2025-10-31 17:17:27,334 ERROR: Encountered non-finite generator loss at iter 7391; skipping update. +2025-10-31 17:17:27,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:27,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:27,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.19, mean=-0.1137, std=3.217, absmax=13.19 +2025-10-31 17:17:27,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.766, max=11.44, mean=-0.06971, std=2.64, absmax=11.44 +2025-10-31 17:17:27,835 ERROR: Encountered non-finite generator loss at iter 7392; skipping update. +2025-10-31 17:17:27,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,838 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,839 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:27,840 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:27,841 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:27,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:27,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.97, mean=-0.233, std=2.847, absmax=12.61 +2025-10-31 17:17:27,844 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.125, mean=-0.2377, std=2.282, absmax=10.73 +2025-10-31 17:17:28,335 ERROR: Encountered non-finite generator loss at iter 7393; skipping update. +2025-10-31 17:17:28,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:28,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:28,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=12.59, mean=-0.1173, std=2.912, absmax=12.59 +2025-10-31 17:17:28,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.893, max=8.9, mean=-0.08303, std=2.348, absmax=8.9 +2025-10-31 17:17:28,835 ERROR: Encountered non-finite generator loss at iter 7394; skipping update. +2025-10-31 17:17:28,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,837 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:28,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:28,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:28,842 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:28,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=14.18, mean=0.05311, std=3.324, absmax=14.18 +2025-10-31 17:17:28,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=12.14, mean=0.06989, std=2.928, absmax=12.14 +2025-10-31 17:17:29,335 ERROR: Encountered non-finite generator loss at iter 7395; skipping update. +2025-10-31 17:17:29,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:29,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:29,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.53, mean=-0.2186, std=3.126, absmax=12.53 +2025-10-31 17:17:29,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=9.422, mean=-0.2445, std=2.472, absmax=9.777 +2025-10-31 17:17:29,836 ERROR: Encountered non-finite generator loss at iter 7396; skipping update. +2025-10-31 17:17:29,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:29,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:29,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:29,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:29,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.32, mean=-0.1419, std=3.257, absmax=14.32 +2025-10-31 17:17:29,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.564, max=12.81, mean=-0.1776, std=2.821, absmax=12.81 +2025-10-31 17:17:30,337 ERROR: Encountered non-finite generator loss at iter 7397; skipping update. +2025-10-31 17:17:30,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:30,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:30,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.19, mean=-0.227, std=2.563, absmax=12.32 +2025-10-31 17:17:30,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.187, max=7.518, mean=-0.2176, std=2.1, absmax=9.187 +2025-10-31 17:17:30,838 ERROR: Encountered non-finite generator loss at iter 7398; skipping update. +2025-10-31 17:17:30,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:30,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:30,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:30,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:30,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=11.59, mean=-0.1321, std=2.367, absmax=11.59 +2025-10-31 17:17:30,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.364, max=8.701, mean=-0.1544, std=2.009, absmax=9.364 +2025-10-31 17:17:31,340 ERROR: Encountered non-finite generator loss at iter 7399; skipping update. +2025-10-31 17:17:31,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:31,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:31,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=12, mean=-0.2372, std=2.71, absmax=12 +2025-10-31 17:17:31,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=8.97, mean=-0.2314, std=2.27, absmax=10.06 +2025-10-31 17:17:31,842 ERROR: Encountered non-finite generator loss at iter 7400; skipping update. +2025-10-31 17:17:31,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,845 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:31,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:31,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:31,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:31,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.78, mean=-0.1912, std=2.381, absmax=11.81 +2025-10-31 17:17:31,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.604, max=8.62, mean=-0.1815, std=2.061, absmax=9.604 +2025-10-31 17:17:31,852 INFO: [29..][epoch: 0, step: 7,400, lr:(1.500e-04,)] [eta: 1 day, 16:09:52, time (data): 0.502 (0.000)] +2025-10-31 17:17:32,343 ERROR: Encountered non-finite generator loss at iter 7401; skipping update. +2025-10-31 17:17:32,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:32,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:32,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=14.37, mean=-0.252, std=2.74, absmax=14.8 +2025-10-31 17:17:32,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=10.1, mean=-0.23, std=2.325, absmax=10.1 +2025-10-31 17:17:32,845 ERROR: Encountered non-finite generator loss at iter 7402; skipping update. +2025-10-31 17:17:32,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:32,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:32,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:32,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:32,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.42, max=13.1, mean=-0.2229, std=3.507, absmax=15.42 +2025-10-31 17:17:32,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.829, mean=-0.2198, std=2.834, absmax=10.24 +2025-10-31 17:17:33,345 ERROR: Encountered non-finite generator loss at iter 7403; skipping update. +2025-10-31 17:17:33,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:33,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:33,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=15.33, mean=-0.2012, std=3.44, absmax=15.33 +2025-10-31 17:17:33,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.787, mean=-0.1743, std=2.865, absmax=10.66 +2025-10-31 17:17:33,845 ERROR: Encountered non-finite generator loss at iter 7404; skipping update. +2025-10-31 17:17:33,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:33,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:33,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:33,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:33,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.79, mean=-0.1551, std=2.81, absmax=12.79 +2025-10-31 17:17:33,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.021, max=9.294, mean=-0.1768, std=2.304, absmax=9.294 +2025-10-31 17:17:34,348 ERROR: Encountered non-finite generator loss at iter 7405; skipping update. +2025-10-31 17:17:34,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:34,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:34,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=14.48, mean=-0.2048, std=3.291, absmax=14.48 +2025-10-31 17:17:34,358 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=10.55, mean=-0.1769, std=2.748, absmax=10.55 +2025-10-31 17:17:34,850 ERROR: Encountered non-finite generator loss at iter 7406; skipping update. +2025-10-31 17:17:34,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,854 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:34,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:34,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:34,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:34,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=13.73, mean=-0.1809, std=3.256, absmax=15.75 +2025-10-31 17:17:34,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=10.14, mean=-0.1827, std=2.898, absmax=11.78 +2025-10-31 17:17:35,353 ERROR: Encountered non-finite generator loss at iter 7407; skipping update. +2025-10-31 17:17:35,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,355 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,356 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:35,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:35,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.19, mean=0.0434, std=2.782, absmax=14.19 +2025-10-31 17:17:35,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.498, max=12.53, mean=0.01618, std=2.364, absmax=12.53 +2025-10-31 17:17:35,855 ERROR: Encountered non-finite generator loss at iter 7408; skipping update. +2025-10-31 17:17:35,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:35,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:35,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:35,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:35,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.74, mean=-0.05063, std=2.983, absmax=13.74 +2025-10-31 17:17:35,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.42, max=11.47, mean=-0.07383, std=2.497, absmax=11.47 +2025-10-31 17:17:36,358 ERROR: Encountered non-finite generator loss at iter 7409; skipping update. +2025-10-31 17:17:36,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,359 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,360 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,360 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,361 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,362 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,363 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:36,364 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:36,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.11, mean=-0.1511, std=3.196, absmax=12.2 +2025-10-31 17:17:36,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=9.691, mean=-0.1712, std=2.791, absmax=11.18 +2025-10-31 17:17:36,857 ERROR: Encountered non-finite generator loss at iter 7410; skipping update. +2025-10-31 17:17:36,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:36,861 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:36,862 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:36,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:36,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.02, mean=-0.1756, std=3.037, absmax=11.97 +2025-10-31 17:17:36,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=9.949, mean=-0.173, std=2.461, absmax=9.949 +2025-10-31 17:17:37,360 ERROR: Encountered non-finite generator loss at iter 7411; skipping update. +2025-10-31 17:17:37,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,367 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:37,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:37,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.1, mean=-0.2543, std=3.627, absmax=14.18 +2025-10-31 17:17:37,370 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.97, max=10.76, mean=-0.2682, std=2.968, absmax=14.97 +2025-10-31 17:17:37,864 ERROR: Encountered non-finite generator loss at iter 7412; skipping update. +2025-10-31 17:17:37,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:37,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:37,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:37,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:37,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.8, mean=-0.1044, std=2.815, absmax=12.89 +2025-10-31 17:17:37,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.195, max=9.546, mean=-0.1135, std=2.222, absmax=9.546 +2025-10-31 17:17:38,369 ERROR: Encountered non-finite generator loss at iter 7413; skipping update. +2025-10-31 17:17:38,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:38,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:38,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=11.85, mean=-0.1607, std=2.648, absmax=11.85 +2025-10-31 17:17:38,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.284, max=8.742, mean=-0.1761, std=2.148, absmax=8.742 +2025-10-31 17:17:38,873 ERROR: Encountered non-finite generator loss at iter 7414; skipping update. +2025-10-31 17:17:38,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:38,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:38,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:38,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:38,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.12, mean=-0.1444, std=3.043, absmax=13.16 +2025-10-31 17:17:38,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=11.69, mean=-0.1086, std=2.564, absmax=11.69 +2025-10-31 17:17:39,376 ERROR: Encountered non-finite generator loss at iter 7415; skipping update. +2025-10-31 17:17:39,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,378 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:39,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:39,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=13.62, mean=-0.1798, std=2.735, absmax=13.62 +2025-10-31 17:17:39,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.28, mean=-0.1638, std=2.231, absmax=10.28 +2025-10-31 17:17:39,879 ERROR: Encountered non-finite generator loss at iter 7416; skipping update. +2025-10-31 17:17:39,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:39,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:39,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:39,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:39,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.39, max=14.93, mean=-0.1879, std=3.384, absmax=16.39 +2025-10-31 17:17:39,888 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.85, mean=-0.1764, std=2.662, absmax=10.62 +2025-10-31 17:17:40,382 ERROR: Encountered non-finite generator loss at iter 7417; skipping update. +2025-10-31 17:17:40,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,386 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,387 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,388 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,389 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,390 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:40,391 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:40,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.04, mean=-0.006156, std=2.619, absmax=13.04 +2025-10-31 17:17:40,393 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.673, max=9.637, mean=-0.02169, std=2.257, absmax=9.673 +2025-10-31 17:17:40,889 ERROR: Encountered non-finite generator loss at iter 7418; skipping update. +2025-10-31 17:17:40,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,892 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,893 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:40,894 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:40,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:40,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:40,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=16.17, mean=-0.04956, std=3.381, absmax=16.17 +2025-10-31 17:17:40,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=14.3, mean=-0.05239, std=2.84, absmax=14.3 +2025-10-31 17:17:41,394 ERROR: Encountered non-finite generator loss at iter 7419; skipping update. +2025-10-31 17:17:41,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:41,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:41,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=10.61, mean=0.002124, std=2.684, absmax=10.97 +2025-10-31 17:17:41,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.883, max=7.842, mean=-0.01268, std=2.323, absmax=7.883 +2025-10-31 17:17:41,902 ERROR: Encountered non-finite generator loss at iter 7420; skipping update. +2025-10-31 17:17:41,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:41,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:41,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:41,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:41,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.58, mean=-0.2423, std=2.782, absmax=12.09 +2025-10-31 17:17:41,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.375, max=8.867, mean=-0.2159, std=2.297, absmax=9.375 +2025-10-31 17:17:42,407 ERROR: Encountered non-finite generator loss at iter 7421; skipping update. +2025-10-31 17:17:42,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,409 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:42,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:42,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=10.74, mean=-0.1413, std=2.465, absmax=12.12 +2025-10-31 17:17:42,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=7.754, mean=-0.1481, std=2.129, absmax=9.63 +2025-10-31 17:17:42,911 ERROR: Encountered non-finite generator loss at iter 7422; skipping update. +2025-10-31 17:17:42,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:42,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:42,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:42,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:42,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.97, mean=0.005546, std=3.092, absmax=13.97 +2025-10-31 17:17:42,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.207, mean=0.003842, std=2.656, absmax=11.25 +2025-10-31 17:17:43,416 ERROR: Encountered non-finite generator loss at iter 7423; skipping update. +2025-10-31 17:17:43,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:43,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:43,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.48, mean=-0.105, std=2.719, absmax=13.48 +2025-10-31 17:17:43,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.729, max=9.764, mean=-0.128, std=2.121, absmax=9.764 +2025-10-31 17:17:43,920 ERROR: Encountered non-finite generator loss at iter 7424; skipping update. +2025-10-31 17:17:43,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:43,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:43,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:43,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:43,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=11.14, mean=-0.3414, std=2.514, absmax=12.92 +2025-10-31 17:17:43,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.878, mean=-0.2903, std=2.276, absmax=10.37 +2025-10-31 17:17:44,424 ERROR: Encountered non-finite generator loss at iter 7425; skipping update. +2025-10-31 17:17:44,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,427 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:44,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:44,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.94, mean=-0.03762, std=3.299, absmax=13.94 +2025-10-31 17:17:44,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=12.72, mean=-0.1251, std=2.712, absmax=12.72 +2025-10-31 17:17:44,928 ERROR: Encountered non-finite generator loss at iter 7426; skipping update. +2025-10-31 17:17:44,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:44,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:44,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:44,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:44,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.84, mean=-0.2496, std=2.98, absmax=14.44 +2025-10-31 17:17:44,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.166, mean=-0.2979, std=2.606, absmax=11.1 +2025-10-31 17:17:45,431 ERROR: Encountered non-finite generator loss at iter 7427; skipping update. +2025-10-31 17:17:45,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:45,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:45,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=18.28, mean=-0.04139, std=3.354, absmax=18.28 +2025-10-31 17:17:45,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.03, mean=-0.08223, std=2.727, absmax=11.03 +2025-10-31 17:17:45,932 ERROR: Encountered non-finite generator loss at iter 7428; skipping update. +2025-10-31 17:17:45,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,936 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,937 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:45,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:45,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:45,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:45,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.73, mean=-0.1375, std=2.509, absmax=12.73 +2025-10-31 17:17:45,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.645, mean=-0.1034, std=2.112, absmax=10.18 +2025-10-31 17:17:46,437 ERROR: Encountered non-finite generator loss at iter 7429; skipping update. +2025-10-31 17:17:46,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:46,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:46,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.65, mean=-0.1889, std=2.699, absmax=12.12 +2025-10-31 17:17:46,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=9.328, mean=-0.1714, std=2.191, absmax=11.16 +2025-10-31 17:17:46,939 ERROR: Encountered non-finite generator loss at iter 7430; skipping update. +2025-10-31 17:17:46,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:46,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:46,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:46,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:46,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.83, mean=-0.2748, std=3.076, absmax=13.63 +2025-10-31 17:17:46,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.933, mean=-0.2755, std=2.423, absmax=10.21 +2025-10-31 17:17:47,445 ERROR: Encountered non-finite generator loss at iter 7431; skipping update. +2025-10-31 17:17:47,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:47,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:47,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.84, mean=-0.08894, std=3.269, absmax=14.84 +2025-10-31 17:17:47,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.36, mean=-0.1539, std=2.757, absmax=10.36 +2025-10-31 17:17:47,949 ERROR: Encountered non-finite generator loss at iter 7432; skipping update. +2025-10-31 17:17:47,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,952 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:47,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:47,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:47,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:47,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.76, mean=-0.2482, std=2.652, absmax=12.76 +2025-10-31 17:17:47,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.395, mean=-0.2429, std=2.232, absmax=10.07 +2025-10-31 17:17:48,451 ERROR: Encountered non-finite generator loss at iter 7433; skipping update. +2025-10-31 17:17:48,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:48,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:48,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=15.16, mean=0.3753, std=4.449, absmax=15.16 +2025-10-31 17:17:48,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=14.82, mean=0.3932, std=3.998, absmax=14.82 +2025-10-31 17:17:48,955 ERROR: Encountered non-finite generator loss at iter 7434; skipping update. +2025-10-31 17:17:48,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:48,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:48,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:48,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:48,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=14.88, mean=0.07635, std=3.179, absmax=14.88 +2025-10-31 17:17:48,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.196, max=10.54, mean=0.03904, std=2.571, absmax=10.54 +2025-10-31 17:17:49,460 ERROR: Encountered non-finite generator loss at iter 7435; skipping update. +2025-10-31 17:17:49,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:49,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:49,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.73, mean=-0.08673, std=2.559, absmax=13.73 +2025-10-31 17:17:49,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.258, mean=-0.1502, std=2.083, absmax=10.12 +2025-10-31 17:17:49,963 ERROR: Encountered non-finite generator loss at iter 7436; skipping update. +2025-10-31 17:17:49,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,966 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:49,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:49,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:49,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:49,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=15.28, mean=-0.03239, std=3.844, absmax=15.28 +2025-10-31 17:17:49,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=11.78, mean=-0.04747, std=3.104, absmax=11.78 +2025-10-31 17:17:50,473 ERROR: Encountered non-finite generator loss at iter 7437; skipping update. +2025-10-31 17:17:50,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:50,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:50,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=14.89, mean=-0.1309, std=3.187, absmax=14.89 +2025-10-31 17:17:50,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.55, mean=-0.1368, std=2.715, absmax=11.55 +2025-10-31 17:17:50,980 ERROR: Encountered non-finite generator loss at iter 7438; skipping update. +2025-10-31 17:17:50,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:50,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:50,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:50,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:50,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.91, mean=-0.153, std=3.228, absmax=13.91 +2025-10-31 17:17:50,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.83, mean=-0.1541, std=2.693, absmax=10.99 +2025-10-31 17:17:51,486 ERROR: Encountered non-finite generator loss at iter 7439; skipping update. +2025-10-31 17:17:51,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:51,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:51,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.15, mean=-0.102, std=3.234, absmax=15.15 +2025-10-31 17:17:51,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=11.91, mean=-0.1115, std=2.859, absmax=11.91 +2025-10-31 17:17:51,993 ERROR: Encountered non-finite generator loss at iter 7440; skipping update. +2025-10-31 17:17:51,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:51,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:51,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:51,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:52,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.16, mean=-0.1332, std=3.101, absmax=15.16 +2025-10-31 17:17:52,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.932, max=11.48, mean=-0.1604, std=2.464, absmax=11.48 +2025-10-31 17:17:52,500 ERROR: Encountered non-finite generator loss at iter 7441; skipping update. +2025-10-31 17:17:52,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:52,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:52,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:52,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:52,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:52,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:52,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:52,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:52,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.88, mean=-0.1996, std=2.48, absmax=12.1 +2025-10-31 17:17:52,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.755, max=7.665, mean=-0.1902, std=2.125, absmax=8.755 +2025-10-31 17:17:53,005 ERROR: Encountered non-finite generator loss at iter 7442; skipping update. +2025-10-31 17:17:53,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:53,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:53,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.04, mean=-0.001374, std=3.325, absmax=14.04 +2025-10-31 17:17:53,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.613, max=11.84, mean=-0.01795, std=2.854, absmax=11.84 +2025-10-31 17:17:53,511 ERROR: Encountered non-finite generator loss at iter 7443; skipping update. +2025-10-31 17:17:53,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,516 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:53,517 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:53,518 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:53,519 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:53,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=12.36, mean=-0.1722, std=3.29, absmax=14.7 +2025-10-31 17:17:53,521 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.889, max=9.013, mean=-0.1673, std=2.673, absmax=9.889 +2025-10-31 17:17:54,017 ERROR: Encountered non-finite generator loss at iter 7444; skipping update. +2025-10-31 17:17:54,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,020 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:54,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:54,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.73, mean=-0.3392, std=3.287, absmax=12.73 +2025-10-31 17:17:54,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.56, mean=-0.3681, std=2.805, absmax=10.67 +2025-10-31 17:17:54,521 ERROR: Encountered non-finite generator loss at iter 7445; skipping update. +2025-10-31 17:17:54,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,524 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:54,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:54,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:54,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:54,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=11.82, mean=-0.1434, std=3.705, absmax=16.16 +2025-10-31 17:17:54,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=9.901, mean=-0.1297, std=3.198, absmax=12.46 +2025-10-31 17:17:55,027 ERROR: Encountered non-finite generator loss at iter 7446; skipping update. +2025-10-31 17:17:55,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:55,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:55,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=14.8, mean=0.1373, std=2.973, absmax=14.8 +2025-10-31 17:17:55,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=14.19, mean=0.1392, std=2.744, absmax=14.19 +2025-10-31 17:17:55,532 ERROR: Encountered non-finite generator loss at iter 7447; skipping update. +2025-10-31 17:17:55,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:55,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:55,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:55,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:55,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.09, mean=-0.1769, std=2.83, absmax=14.17 +2025-10-31 17:17:55,542 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=8.71, mean=-0.1711, std=2.384, absmax=10.87 +2025-10-31 17:17:56,038 ERROR: Encountered non-finite generator loss at iter 7448; skipping update. +2025-10-31 17:17:56,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:56,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:56,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14.07, mean=0.08089, std=3.518, absmax=14.07 +2025-10-31 17:17:56,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.22, mean=0.01741, std=2.83, absmax=11.22 +2025-10-31 17:17:56,543 ERROR: Encountered non-finite generator loss at iter 7449; skipping update. +2025-10-31 17:17:56,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:56,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:56,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:56,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:56,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.3, mean=0.04095, std=3.632, absmax=13.3 +2025-10-31 17:17:56,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=12.14, mean=0.04737, std=3.092, absmax=12.3 +2025-10-31 17:17:57,048 ERROR: Encountered non-finite generator loss at iter 7450; skipping update. +2025-10-31 17:17:57,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:57,054 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:57,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.36, mean=-0.1721, std=2.624, absmax=12.7 +2025-10-31 17:17:57,056 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.11, mean=-0.1901, std=2.236, absmax=10.78 +2025-10-31 17:17:57,551 ERROR: Encountered non-finite generator loss at iter 7451; skipping update. +2025-10-31 17:17:57,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:57,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:57,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:57,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:57,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.32, mean=-0.1657, std=2.951, absmax=12.32 +2025-10-31 17:17:57,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.406, max=8.548, mean=-0.1494, std=2.448, absmax=9.406 +2025-10-31 17:17:58,057 ERROR: Encountered non-finite generator loss at iter 7452; skipping update. +2025-10-31 17:17:58,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:58,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:58,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.31, mean=-0.2393, std=2.676, absmax=12.83 +2025-10-31 17:17:58,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.379, max=7.218, mean=-0.237, std=2.134, absmax=9.379 +2025-10-31 17:17:58,562 ERROR: Encountered non-finite generator loss at iter 7453; skipping update. +2025-10-31 17:17:58,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:58,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:58,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:58,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:58,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.99, mean=-0.1816, std=2.779, absmax=13.99 +2025-10-31 17:17:58,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.98, mean=-0.1434, std=2.409, absmax=10.98 +2025-10-31 17:17:59,067 ERROR: Encountered non-finite generator loss at iter 7454; skipping update. +2025-10-31 17:17:59,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,073 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,074 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,075 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:59,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:59,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.63, mean=-0.2325, std=3.038, absmax=14.63 +2025-10-31 17:17:59,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.692, max=11, mean=-0.1622, std=2.503, absmax=11 +2025-10-31 17:17:59,572 ERROR: Encountered non-finite generator loss at iter 7455; skipping update. +2025-10-31 17:17:59,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:17:59,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:17:59,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:17:59,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:17:59,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.08, mean=-0.216, std=2.755, absmax=12.08 +2025-10-31 17:17:59,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=8.366, mean=-0.3015, std=2.416, absmax=11.49 +2025-10-31 17:18:00,075 ERROR: Encountered non-finite generator loss at iter 7456; skipping update. +2025-10-31 17:18:00,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:00,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:00,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=10.33, mean=-0.2762, std=2.325, absmax=10.99 +2025-10-31 17:18:00,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.636, max=7.843, mean=-0.2789, std=2.036, absmax=9.636 +2025-10-31 17:18:00,577 ERROR: Encountered non-finite generator loss at iter 7457; skipping update. +2025-10-31 17:18:00,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:00,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:00,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:00,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:00,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.35, mean=-0.01789, std=3.372, absmax=13.35 +2025-10-31 17:18:00,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.28, mean=-0.07667, std=2.932, absmax=11.28 +2025-10-31 17:18:01,078 ERROR: Encountered non-finite generator loss at iter 7458; skipping update. +2025-10-31 17:18:01,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,080 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:01,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:01,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=13.76, mean=-0.1545, std=3.048, absmax=14.57 +2025-10-31 17:18:01,087 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=10.05, mean=-0.1645, std=2.65, absmax=12.02 +2025-10-31 17:18:01,580 ERROR: Encountered non-finite generator loss at iter 7459; skipping update. +2025-10-31 17:18:01,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:01,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:01,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:01,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:01,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=13.84, mean=0.2997, std=4.04, absmax=14.3 +2025-10-31 17:18:01,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=11.72, mean=0.2299, std=3.203, absmax=11.72 +2025-10-31 17:18:02,083 ERROR: Encountered non-finite generator loss at iter 7460; skipping update. +2025-10-31 17:18:02,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:02,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:02,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=15.81, mean=-0.0681, std=3.609, absmax=15.81 +2025-10-31 17:18:02,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.19, max=11.16, mean=-0.139, std=3.025, absmax=14.19 +2025-10-31 17:18:02,586 ERROR: Encountered non-finite generator loss at iter 7461; skipping update. +2025-10-31 17:18:02,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:02,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:02,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:02,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:02,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.81, mean=-0.1845, std=2.752, absmax=12.81 +2025-10-31 17:18:02,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.098, max=8.216, mean=-0.1814, std=2.299, absmax=9.098 +2025-10-31 17:18:03,089 ERROR: Encountered non-finite generator loss at iter 7462; skipping update. +2025-10-31 17:18:03,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:03,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:03,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=18.61, mean=-0.1632, std=2.646, absmax=18.61 +2025-10-31 17:18:03,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.84, mean=-0.1262, std=2.273, absmax=12.84 +2025-10-31 17:18:03,591 ERROR: Encountered non-finite generator loss at iter 7463; skipping update. +2025-10-31 17:18:03,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:03,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:03,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:03,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:03,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=15.84, mean=-0.3233, std=3.277, absmax=15.84 +2025-10-31 17:18:03,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.742, mean=-0.3164, std=2.559, absmax=10.44 +2025-10-31 17:18:04,091 ERROR: Encountered non-finite generator loss at iter 7464; skipping update. +2025-10-31 17:18:04,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:04,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:04,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.06, mean=-0.1408, std=3.484, absmax=12.86 +2025-10-31 17:18:04,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.72, mean=-0.1415, std=3.081, absmax=10.72 +2025-10-31 17:18:04,593 ERROR: Encountered non-finite generator loss at iter 7465; skipping update. +2025-10-31 17:18:04,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:04,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:04,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:04,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:04,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.25, mean=-0.1476, std=3.33, absmax=14.25 +2025-10-31 17:18:04,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=13.42, mean=-0.1739, std=2.874, absmax=13.42 +2025-10-31 17:18:05,098 ERROR: Encountered non-finite generator loss at iter 7466; skipping update. +2025-10-31 17:18:05,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:05,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:05,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.58, mean=-0.09407, std=3.064, absmax=14.23 +2025-10-31 17:18:05,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=10.71, mean=-0.09521, std=2.551, absmax=11.5 +2025-10-31 17:18:05,604 ERROR: Encountered non-finite generator loss at iter 7467; skipping update. +2025-10-31 17:18:05,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:05,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:05,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:05,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:05,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.63, mean=-0.1048, std=3.226, absmax=14.63 +2025-10-31 17:18:05,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=11.17, mean=-0.07985, std=2.658, absmax=11.17 +2025-10-31 17:18:06,107 ERROR: Encountered non-finite generator loss at iter 7468; skipping update. +2025-10-31 17:18:06,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,109 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,110 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,112 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,113 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,114 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:06,115 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:06,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.9, mean=-0.2752, std=2.844, absmax=12.9 +2025-10-31 17:18:06,117 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=8.045, mean=-0.2353, std=2.278, absmax=9.569 +2025-10-31 17:18:06,613 ERROR: Encountered non-finite generator loss at iter 7469; skipping update. +2025-10-31 17:18:06,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,616 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,616 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,616 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,617 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:06,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:06,620 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:06,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:06,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=13.22, mean=-0.07946, std=2.854, absmax=13.22 +2025-10-31 17:18:06,623 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.15, max=11.59, mean=-0.1062, std=2.541, absmax=11.59 +2025-10-31 17:18:07,119 ERROR: Encountered non-finite generator loss at iter 7470; skipping update. +2025-10-31 17:18:07,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,122 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,123 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:07,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:07,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.84, mean=-0.09972, std=2.718, absmax=12.84 +2025-10-31 17:18:07,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.112, max=9.426, mean=-0.09937, std=2.419, absmax=9.426 +2025-10-31 17:18:07,623 ERROR: Encountered non-finite generator loss at iter 7471; skipping update. +2025-10-31 17:18:07,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:07,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:07,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:07,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:07,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.41, mean=-0.2404, std=2.783, absmax=13.41 +2025-10-31 17:18:07,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.718, max=8.851, mean=-0.2274, std=2.371, absmax=9.718 +2025-10-31 17:18:08,127 ERROR: Encountered non-finite generator loss at iter 7472; skipping update. +2025-10-31 17:18:08,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:08,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:08,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.39, mean=-0.0623, std=2.59, absmax=12.39 +2025-10-31 17:18:08,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.782, max=11.47, mean=-0.1125, std=2.28, absmax=11.47 +2025-10-31 17:18:08,634 ERROR: Encountered non-finite generator loss at iter 7473; skipping update. +2025-10-31 17:18:08,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:08,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:08,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:08,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:08,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.03, mean=-0.2916, std=3.145, absmax=13.03 +2025-10-31 17:18:08,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.881, mean=-0.3057, std=2.667, absmax=10.01 +2025-10-31 17:18:09,135 ERROR: Encountered non-finite generator loss at iter 7474; skipping update. +2025-10-31 17:18:09,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:09,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:09,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.86, mean=-0.1621, std=3.012, absmax=14.86 +2025-10-31 17:18:09,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=10.9, mean=-0.1502, std=2.629, absmax=11.84 +2025-10-31 17:18:09,639 ERROR: Encountered non-finite generator loss at iter 7475; skipping update. +2025-10-31 17:18:09,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:09,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:09,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:09,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:09,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.07, mean=-0.2144, std=2.724, absmax=12.07 +2025-10-31 17:18:09,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.756, max=9.046, mean=-0.1956, std=2.371, absmax=9.756 +2025-10-31 17:18:10,144 ERROR: Encountered non-finite generator loss at iter 7476; skipping update. +2025-10-31 17:18:10,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:10,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:10,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.22, mean=0.08713, std=3.28, absmax=13.22 +2025-10-31 17:18:10,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=10.16, mean=0.03021, std=2.649, absmax=11.49 +2025-10-31 17:18:10,649 ERROR: Encountered non-finite generator loss at iter 7477; skipping update. +2025-10-31 17:18:10,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:10,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:10,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:10,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:10,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.06, mean=-0.3353, std=3.445, absmax=14.34 +2025-10-31 17:18:10,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.55, max=10.53, mean=-0.3244, std=2.877, absmax=12.55 +2025-10-31 17:18:11,154 ERROR: Encountered non-finite generator loss at iter 7478; skipping update. +2025-10-31 17:18:11,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,158 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:11,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:11,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=14.41, mean=-0.2359, std=3.497, absmax=15.33 +2025-10-31 17:18:11,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=10.38, mean=-0.1957, std=2.867, absmax=10.81 +2025-10-31 17:18:11,656 ERROR: Encountered non-finite generator loss at iter 7479; skipping update. +2025-10-31 17:18:11,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:11,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:11,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:11,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:11,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.87, max=15.12, mean=0.1009, std=4.062, absmax=15.87 +2025-10-31 17:18:11,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=15.19, mean=0.06303, std=3.641, absmax=15.19 +2025-10-31 17:18:12,161 ERROR: Encountered non-finite generator loss at iter 7480; skipping update. +2025-10-31 17:18:12,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:12,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:12,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.43, mean=-0.1989, std=3.02, absmax=13.24 +2025-10-31 17:18:12,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.501, mean=-0.1825, std=2.577, absmax=10.71 +2025-10-31 17:18:12,666 ERROR: Encountered non-finite generator loss at iter 7481; skipping update. +2025-10-31 17:18:12,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:12,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:12,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:12,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:12,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.41, mean=-0.1266, std=3.583, absmax=14.41 +2025-10-31 17:18:12,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=10.71, mean=-0.1904, std=3.087, absmax=11.48 +2025-10-31 17:18:13,169 ERROR: Encountered non-finite generator loss at iter 7482; skipping update. +2025-10-31 17:18:13,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:13,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:13,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=11.08, mean=-0.1116, std=3.021, absmax=13.88 +2025-10-31 17:18:13,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=10.47, mean=-0.09488, std=2.632, absmax=10.47 +2025-10-31 17:18:13,676 ERROR: Encountered non-finite generator loss at iter 7483; skipping update. +2025-10-31 17:18:13,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,679 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,680 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:13,681 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:13,682 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:13,683 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:13,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.62, mean=-0.2925, std=3.074, absmax=13.62 +2025-10-31 17:18:13,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=8.195, mean=-0.3085, std=2.593, absmax=9.721 +2025-10-31 17:18:14,180 ERROR: Encountered non-finite generator loss at iter 7484; skipping update. +2025-10-31 17:18:14,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:14,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:14,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.63, mean=-0.03083, std=3.112, absmax=13.63 +2025-10-31 17:18:14,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.147, max=11.29, mean=-0.04746, std=2.73, absmax=11.29 +2025-10-31 17:18:14,686 ERROR: Encountered non-finite generator loss at iter 7485; skipping update. +2025-10-31 17:18:14,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:14,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:14,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:14,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:14,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.56, mean=-0.1596, std=3.221, absmax=15.56 +2025-10-31 17:18:14,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=12.73, mean=-0.1085, std=2.843, absmax=12.73 +2025-10-31 17:18:15,191 ERROR: Encountered non-finite generator loss at iter 7486; skipping update. +2025-10-31 17:18:15,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:15,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:15,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=15.73, mean=-0.1288, std=3.309, absmax=15.73 +2025-10-31 17:18:15,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.781, max=10.83, mean=-0.0867, std=2.589, absmax=10.83 +2025-10-31 17:18:15,696 ERROR: Encountered non-finite generator loss at iter 7487; skipping update. +2025-10-31 17:18:15,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:15,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:15,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:15,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:15,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.56, mean=-0.3791, std=3.068, absmax=12.58 +2025-10-31 17:18:15,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.722, max=8.454, mean=-0.3613, std=2.603, absmax=9.722 +2025-10-31 17:18:16,203 ERROR: Encountered non-finite generator loss at iter 7488; skipping update. +2025-10-31 17:18:16,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:16,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:16,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.04, mean=-0.2441, std=3.196, absmax=14.04 +2025-10-31 17:18:16,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=8.955, mean=-0.2296, std=2.54, absmax=10.41 +2025-10-31 17:18:16,710 ERROR: Encountered non-finite generator loss at iter 7489; skipping update. +2025-10-31 17:18:16,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:16,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:16,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:16,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:16,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.1, mean=-0.2008, std=2.631, absmax=12.61 +2025-10-31 17:18:16,717 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.726, max=7.88, mean=-0.1687, std=2.089, absmax=8.726 +2025-10-31 17:18:17,213 ERROR: Encountered non-finite generator loss at iter 7490; skipping update. +2025-10-31 17:18:17,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:17,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:17,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.93, mean=-0.09439, std=3.111, absmax=13.93 +2025-10-31 17:18:17,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=11.07, mean=-0.1228, std=2.594, absmax=11.07 +2025-10-31 17:18:17,715 ERROR: Encountered non-finite generator loss at iter 7491; skipping update. +2025-10-31 17:18:17,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:17,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:17,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:17,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:17,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=10.26, mean=-0.1198, std=2.536, absmax=10.67 +2025-10-31 17:18:17,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.451, max=9.022, mean=-0.1637, std=2.252, absmax=9.451 +2025-10-31 17:18:18,219 ERROR: Encountered non-finite generator loss at iter 7492; skipping update. +2025-10-31 17:18:18,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,221 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,222 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:18,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:18,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=12.27, mean=-0.3344, std=3.075, absmax=14.57 +2025-10-31 17:18:18,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=9.988, mean=-0.3298, std=2.625, absmax=12.61 +2025-10-31 17:18:18,723 ERROR: Encountered non-finite generator loss at iter 7493; skipping update. +2025-10-31 17:18:18,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:18,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:18,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:18,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:18,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.45, mean=-0.06112, std=3.558, absmax=13.18 +2025-10-31 17:18:18,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.902, max=9.296, mean=-0.08596, std=2.907, absmax=9.902 +2025-10-31 17:18:19,227 ERROR: Encountered non-finite generator loss at iter 7494; skipping update. +2025-10-31 17:18:19,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:19,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:19,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=16.12, mean=-0.1896, std=2.953, absmax=16.12 +2025-10-31 17:18:19,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=13.74, mean=-0.2117, std=2.479, absmax=13.74 +2025-10-31 17:18:19,731 ERROR: Encountered non-finite generator loss at iter 7495; skipping update. +2025-10-31 17:18:19,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:19,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:19,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:19,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:19,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.55, mean=-0.08516, std=3.051, absmax=15.55 +2025-10-31 17:18:19,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=12.73, mean=-0.05435, std=2.596, absmax=12.73 +2025-10-31 17:18:20,231 ERROR: Encountered non-finite generator loss at iter 7496; skipping update. +2025-10-31 17:18:20,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:20,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:20,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.74, mean=-0.204, std=3.015, absmax=13.03 +2025-10-31 17:18:20,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=9.301, mean=-0.1928, std=2.648, absmax=11.88 +2025-10-31 17:18:20,733 ERROR: Encountered non-finite generator loss at iter 7497; skipping update. +2025-10-31 17:18:20,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,735 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:20,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:20,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:20,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:20,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.7, mean=-0.141, std=3.04, absmax=13.7 +2025-10-31 17:18:20,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=9.482, mean=-0.1074, std=2.586, absmax=9.977 +2025-10-31 17:18:21,236 ERROR: Encountered non-finite generator loss at iter 7498; skipping update. +2025-10-31 17:18:21,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:21,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:21,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.74, mean=-0.1184, std=2.778, absmax=13.74 +2025-10-31 17:18:21,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.629, max=9.164, mean=-0.1129, std=2.246, absmax=9.164 +2025-10-31 17:18:21,737 ERROR: Encountered non-finite generator loss at iter 7499; skipping update. +2025-10-31 17:18:21,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:21,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:21,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:21,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:21,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.12, mean=-0.1402, std=2.777, absmax=12.89 +2025-10-31 17:18:21,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.573, max=8.444, mean=-0.1816, std=2.153, absmax=8.573 +2025-10-31 17:18:22,243 ERROR: Encountered non-finite generator loss at iter 7500; skipping update. +2025-10-31 17:18:22,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:18:22,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:18:22,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:18:22,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:18:22,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:18:22,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:18:22,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:18:22,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:18:22,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=13.8, mean=-0.3073, std=2.807, absmax=14.16 +2025-10-31 17:18:22,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.431, mean=-0.2977, std=2.368, absmax=10.27 +2025-10-31 17:18:22,254 INFO: [29..][epoch: 0, step: 7,500, lr:(1.500e-04,)] [eta: 1 day, 16:03:55, time (data): 0.504 (0.000)] +2025-10-31 17:18:22,254 INFO: Saving models and training states. +2025-10-31 17:19:38,734 INFO: Validation val_x2 + # l1_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 17:21:46,633 INFO: Validation val_x4 + # l1_latent: nan Best: -inf @ -1 iter + # l2_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 17:21:47,144 ERROR: Encountered non-finite generator loss at iter 7501; skipping update. +2025-10-31 17:21:47,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:47,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:47,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.43, mean=-0.2202, std=2.73, absmax=13.86 +2025-10-31 17:21:47,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.787, mean=-0.1995, std=2.643, absmax=10.23 +2025-10-31 17:21:47,646 ERROR: Encountered non-finite generator loss at iter 7502; skipping update. +2025-10-31 17:21:47,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:47,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:47,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:47,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:47,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.85, mean=-0.2544, std=2.72, absmax=12.49 +2025-10-31 17:21:47,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.178, max=6.949, mean=-0.2451, std=2.133, absmax=9.178 +2025-10-31 17:21:48,147 ERROR: Encountered non-finite generator loss at iter 7503; skipping update. +2025-10-31 17:21:48,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:48,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:48,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=10.78, mean=-0.07608, std=2.955, absmax=12.62 +2025-10-31 17:21:48,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.31, mean=-0.04301, std=2.766, absmax=12.31 +2025-10-31 17:21:48,650 ERROR: Encountered non-finite generator loss at iter 7504; skipping update. +2025-10-31 17:21:48,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:48,655 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:48,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:48,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:48,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.18, mean=-0.0839, std=3.143, absmax=14.32 +2025-10-31 17:21:48,659 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.883, mean=-0.08963, std=2.567, absmax=10.42 +2025-10-31 17:21:49,151 ERROR: Encountered non-finite generator loss at iter 7505; skipping update. +2025-10-31 17:21:49,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:49,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:49,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.63, mean=-0.1198, std=3.28, absmax=12.63 +2025-10-31 17:21:49,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=10.75, mean=-0.1511, std=2.927, absmax=11.45 +2025-10-31 17:21:49,652 ERROR: Encountered non-finite generator loss at iter 7506; skipping update. +2025-10-31 17:21:49,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:49,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:49,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:49,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:49,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.6, mean=-0.04005, std=3.174, absmax=13.6 +2025-10-31 17:21:49,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=12.28, mean=-0.02057, std=2.795, absmax=12.28 +2025-10-31 17:21:50,153 ERROR: Encountered non-finite generator loss at iter 7507; skipping update. +2025-10-31 17:21:50,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:50,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:50,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.7, mean=-0.04546, std=3.226, absmax=15.7 +2025-10-31 17:21:50,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=13.76, mean=-0.03211, std=2.739, absmax=13.76 +2025-10-31 17:21:50,655 ERROR: Encountered non-finite generator loss at iter 7508; skipping update. +2025-10-31 17:21:50,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,657 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:50,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:50,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:50,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:50,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.02, mean=-0.1223, std=2.996, absmax=12.81 +2025-10-31 17:21:50,664 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.627, max=9.621, mean=-0.1108, std=2.5, absmax=9.627 +2025-10-31 17:21:51,155 ERROR: Encountered non-finite generator loss at iter 7509; skipping update. +2025-10-31 17:21:51,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:51,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:51,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.14, mean=0.08475, std=3.33, absmax=13.14 +2025-10-31 17:21:51,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=13.29, mean=0.08376, std=2.935, absmax=13.29 +2025-10-31 17:21:51,657 ERROR: Encountered non-finite generator loss at iter 7510; skipping update. +2025-10-31 17:21:51,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:51,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:51,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:51,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:51,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.78, mean=-0.09356, std=3, absmax=13.78 +2025-10-31 17:21:51,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.455, max=9.488, mean=-0.1063, std=2.466, absmax=9.488 +2025-10-31 17:21:52,157 ERROR: Encountered non-finite generator loss at iter 7511; skipping update. +2025-10-31 17:21:52,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,159 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,160 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:52,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:52,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.58, mean=-0.01188, std=3.117, absmax=14.58 +2025-10-31 17:21:52,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.59, mean=-0.02153, std=2.781, absmax=11.59 +2025-10-31 17:21:52,659 ERROR: Encountered non-finite generator loss at iter 7512; skipping update. +2025-10-31 17:21:52,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:52,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:52,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:52,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:52,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.01, mean=-0.1232, std=2.91, absmax=13.54 +2025-10-31 17:21:52,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.128, max=9.263, mean=-0.1404, std=2.41, absmax=9.263 +2025-10-31 17:21:53,161 ERROR: Encountered non-finite generator loss at iter 7513; skipping update. +2025-10-31 17:21:53,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:53,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:53,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=14.78, mean=0.03589, std=3.282, absmax=14.78 +2025-10-31 17:21:53,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.491, max=11.49, mean=-0.02353, std=2.734, absmax=11.49 +2025-10-31 17:21:53,664 ERROR: Encountered non-finite generator loss at iter 7514; skipping update. +2025-10-31 17:21:53,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:53,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:53,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:53,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:53,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=9.326, mean=-0.2381, std=2.509, absmax=11.92 +2025-10-31 17:21:53,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.861, mean=-0.2549, std=2.308, absmax=10.14 +2025-10-31 17:21:54,165 ERROR: Encountered non-finite generator loss at iter 7515; skipping update. +2025-10-31 17:21:54,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:54,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:54,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.91, mean=-0.2718, std=3.158, absmax=12.42 +2025-10-31 17:21:54,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=8.616, mean=-0.2571, std=2.726, absmax=12.36 +2025-10-31 17:21:54,666 ERROR: Encountered non-finite generator loss at iter 7516; skipping update. +2025-10-31 17:21:54,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:54,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:54,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:54,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:54,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.9, mean=-0.1708, std=2.662, absmax=11.9 +2025-10-31 17:21:54,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.433, max=9.811, mean=-0.2346, std=2.245, absmax=9.811 +2025-10-31 17:21:55,168 ERROR: Encountered non-finite generator loss at iter 7517; skipping update. +2025-10-31 17:21:55,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:55,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:55,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=9.845, mean=-0.3586, std=3.239, absmax=14.06 +2025-10-31 17:21:55,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.81, max=8.76, mean=-0.3193, std=2.765, absmax=11.81 +2025-10-31 17:21:55,668 ERROR: Encountered non-finite generator loss at iter 7518; skipping update. +2025-10-31 17:21:55,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:55,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:55,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:55,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:55,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=15.9, mean=-0.229, std=3.259, absmax=15.9 +2025-10-31 17:21:55,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.499, mean=-0.2351, std=2.702, absmax=10.63 +2025-10-31 17:21:56,171 ERROR: Encountered non-finite generator loss at iter 7519; skipping update. +2025-10-31 17:21:56,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:56,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:56,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.11, mean=-0.07086, std=2.949, absmax=12.11 +2025-10-31 17:21:56,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.024, max=10.41, mean=-0.08583, std=2.47, absmax=10.41 +2025-10-31 17:21:56,674 ERROR: Encountered non-finite generator loss at iter 7520; skipping update. +2025-10-31 17:21:56,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:56,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:56,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:56,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:56,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=12.74, mean=-0.1078, std=2.648, absmax=12.74 +2025-10-31 17:21:56,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.07, max=8.417, mean=-0.1452, std=2.139, absmax=9.07 +2025-10-31 17:21:57,175 ERROR: Encountered non-finite generator loss at iter 7521; skipping update. +2025-10-31 17:21:57,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,179 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:57,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:57,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=12.94, mean=-0.09158, std=3.362, absmax=14.57 +2025-10-31 17:21:57,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.65, mean=-0.1386, std=3.133, absmax=11.68 +2025-10-31 17:21:57,676 ERROR: Encountered non-finite generator loss at iter 7522; skipping update. +2025-10-31 17:21:57,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:57,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:57,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:57,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:57,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=10.71, mean=-0.1789, std=2.455, absmax=12.35 +2025-10-31 17:21:57,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.07, max=7.866, mean=-0.1862, std=2.049, absmax=9.07 +2025-10-31 17:21:58,181 ERROR: Encountered non-finite generator loss at iter 7523; skipping update. +2025-10-31 17:21:58,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:58,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:58,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=14.88, mean=-0.1482, std=3.244, absmax=14.88 +2025-10-31 17:21:58,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=11.82, mean=-0.1248, std=2.74, absmax=11.82 +2025-10-31 17:21:58,684 ERROR: Encountered non-finite generator loss at iter 7524; skipping update. +2025-10-31 17:21:58,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:58,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:58,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:58,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:58,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.66, mean=-0.1505, std=3.281, absmax=12.66 +2025-10-31 17:21:58,693 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.56, mean=-0.1275, std=2.718, absmax=10.56 +2025-10-31 17:21:59,188 ERROR: Encountered non-finite generator loss at iter 7525; skipping update. +2025-10-31 17:21:59,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:59,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:59,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=16.39, mean=-0.226, std=3.194, absmax=16.39 +2025-10-31 17:21:59,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=9.957, mean=-0.2155, std=2.645, absmax=9.957 +2025-10-31 17:21:59,693 ERROR: Encountered non-finite generator loss at iter 7526; skipping update. +2025-10-31 17:21:59,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:21:59,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:21:59,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:21:59,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:21:59,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.2, mean=-0.2436, std=2.873, absmax=13.2 +2025-10-31 17:21:59,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=9.466, mean=-0.1903, std=2.531, absmax=9.911 +2025-10-31 17:22:00,197 ERROR: Encountered non-finite generator loss at iter 7527; skipping update. +2025-10-31 17:22:00,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,200 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,201 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,202 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:00,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:00,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.09, mean=-0.3458, std=3.011, absmax=12.57 +2025-10-31 17:22:00,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.353, mean=-0.2746, std=2.398, absmax=10.23 +2025-10-31 17:22:00,697 ERROR: Encountered non-finite generator loss at iter 7528; skipping update. +2025-10-31 17:22:00,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,702 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:00,703 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:00,704 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:00,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:00,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.26, mean=-0.08757, std=2.755, absmax=13.73 +2025-10-31 17:22:00,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.291, max=8.908, mean=-0.09178, std=2.243, absmax=9.291 +2025-10-31 17:22:01,199 ERROR: Encountered non-finite generator loss at iter 7529; skipping update. +2025-10-31 17:22:01,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:01,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:01,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=14.23, mean=-0.1202, std=3.285, absmax=14.23 +2025-10-31 17:22:01,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.47, mean=-0.1562, std=2.629, absmax=10.47 +2025-10-31 17:22:01,702 ERROR: Encountered non-finite generator loss at iter 7530; skipping update. +2025-10-31 17:22:01,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:01,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:01,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:01,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:01,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.93, mean=-0.2523, std=2.916, absmax=11.93 +2025-10-31 17:22:01,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.506, max=7.946, mean=-0.2376, std=2.356, absmax=9.506 +2025-10-31 17:22:02,203 ERROR: Encountered non-finite generator loss at iter 7531; skipping update. +2025-10-31 17:22:02,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:02,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:02,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.4, mean=-0.2238, std=2.614, absmax=13.76 +2025-10-31 17:22:02,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=8.865, mean=-0.22, std=2.212, absmax=11.37 +2025-10-31 17:22:02,707 ERROR: Encountered non-finite generator loss at iter 7532; skipping update. +2025-10-31 17:22:02,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:02,713 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:02,714 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:02,715 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:02,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=10.49, mean=-0.2915, std=3.003, absmax=13.13 +2025-10-31 17:22:02,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.69, max=8.867, mean=-0.2799, std=2.562, absmax=12.69 +2025-10-31 17:22:03,209 ERROR: Encountered non-finite generator loss at iter 7533; skipping update. +2025-10-31 17:22:03,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,212 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,213 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:03,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:03,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.79, mean=-0.222, std=3.237, absmax=13.03 +2025-10-31 17:22:03,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=8.679, mean=-0.2156, std=2.716, absmax=12.06 +2025-10-31 17:22:03,718 ERROR: Encountered non-finite generator loss at iter 7534; skipping update. +2025-10-31 17:22:03,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:03,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:03,721 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:03,722 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:03,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.66, mean=0.002978, std=2.967, absmax=12.75 +2025-10-31 17:22:03,724 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.09, mean=-0.02241, std=2.674, absmax=10.36 +2025-10-31 17:22:04,218 ERROR: Encountered non-finite generator loss at iter 7535; skipping update. +2025-10-31 17:22:04,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:04,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:04,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.39, mean=0.0482, std=3.338, absmax=14.39 +2025-10-31 17:22:04,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=12.86, mean=0.01707, std=2.717, absmax=12.86 +2025-10-31 17:22:04,721 ERROR: Encountered non-finite generator loss at iter 7536; skipping update. +2025-10-31 17:22:04,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:04,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:04,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:04,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:04,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.02, mean=-0.3649, std=2.741, absmax=14.02 +2025-10-31 17:22:04,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.817, max=8.443, mean=-0.3437, std=2.322, absmax=9.817 +2025-10-31 17:22:05,224 ERROR: Encountered non-finite generator loss at iter 7537; skipping update. +2025-10-31 17:22:05,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:05,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:05,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.78, mean=-0.2889, std=3.06, absmax=13.94 +2025-10-31 17:22:05,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=8.619, mean=-0.3193, std=2.64, absmax=11.96 +2025-10-31 17:22:05,729 ERROR: Encountered non-finite generator loss at iter 7538; skipping update. +2025-10-31 17:22:05,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:05,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:05,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:05,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:05,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=15.03, mean=-0.1816, std=3.384, absmax=15.03 +2025-10-31 17:22:05,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.98, mean=-0.1892, std=2.85, absmax=10.98 +2025-10-31 17:22:06,231 ERROR: Encountered non-finite generator loss at iter 7539; skipping update. +2025-10-31 17:22:06,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,234 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,236 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,237 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:06,238 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:06,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.62, mean=-0.2825, std=3.069, absmax=14.62 +2025-10-31 17:22:06,240 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.85, mean=-0.2266, std=2.566, absmax=10.85 +2025-10-31 17:22:06,734 ERROR: Encountered non-finite generator loss at iter 7540; skipping update. +2025-10-31 17:22:06,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:06,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:06,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:06,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:06,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=15.54, mean=-0.06886, std=3.576, absmax=15.54 +2025-10-31 17:22:06,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=13.09, mean=-0.0835, std=3.093, absmax=13.09 +2025-10-31 17:22:07,239 ERROR: Encountered non-finite generator loss at iter 7541; skipping update. +2025-10-31 17:22:07,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:07,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:07,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.66, mean=-0.3156, std=3.096, absmax=15.66 +2025-10-31 17:22:07,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.667, max=9.671, mean=-0.304, std=2.481, absmax=9.671 +2025-10-31 17:22:07,744 ERROR: Encountered non-finite generator loss at iter 7542; skipping update. +2025-10-31 17:22:07,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:07,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:07,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:07,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:07,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=9.804, mean=-0.2389, std=2.425, absmax=10.96 +2025-10-31 17:22:07,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.279, max=7.704, mean=-0.2409, std=2.022, absmax=9.279 +2025-10-31 17:22:08,249 ERROR: Encountered non-finite generator loss at iter 7543; skipping update. +2025-10-31 17:22:08,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:08,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:08,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=9.138, mean=-0.3027, std=2.284, absmax=10.72 +2025-10-31 17:22:08,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.111, max=7.203, mean=-0.3075, std=1.988, absmax=8.111 +2025-10-31 17:22:08,754 ERROR: Encountered non-finite generator loss at iter 7544; skipping update. +2025-10-31 17:22:08,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:08,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:08,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:08,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:08,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.05, mean=-0.2984, std=3.054, absmax=14.05 +2025-10-31 17:22:08,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.91, max=9.725, mean=-0.2877, std=2.561, absmax=9.91 +2025-10-31 17:22:09,258 ERROR: Encountered non-finite generator loss at iter 7545; skipping update. +2025-10-31 17:22:09,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:09,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:09,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=16.01, mean=-0.1023, std=3.309, absmax=16.01 +2025-10-31 17:22:09,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=14.37, mean=-0.08161, std=2.738, absmax=14.37 +2025-10-31 17:22:09,764 ERROR: Encountered non-finite generator loss at iter 7546; skipping update. +2025-10-31 17:22:09,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:09,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:09,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:09,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:09,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.46, mean=-0.1748, std=2.901, absmax=12.52 +2025-10-31 17:22:09,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.593, max=8.707, mean=-0.1468, std=2.266, absmax=8.707 +2025-10-31 17:22:10,268 ERROR: Encountered non-finite generator loss at iter 7547; skipping update. +2025-10-31 17:22:10,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:10,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:10,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=10.3, mean=-0.2614, std=3.007, absmax=13.85 +2025-10-31 17:22:10,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=8.969, mean=-0.2256, std=2.706, absmax=12.18 +2025-10-31 17:22:10,775 ERROR: Encountered non-finite generator loss at iter 7548; skipping update. +2025-10-31 17:22:10,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:10,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:10,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:10,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:10,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.21, mean=-0.2513, std=3.178, absmax=13.71 +2025-10-31 17:22:10,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=9.585, mean=-0.2701, std=2.743, absmax=12.51 +2025-10-31 17:22:11,278 ERROR: Encountered non-finite generator loss at iter 7549; skipping update. +2025-10-31 17:22:11,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:11,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:11,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=12.44, mean=-0.1666, std=2.654, absmax=12.44 +2025-10-31 17:22:11,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.906, mean=-0.1531, std=2.455, absmax=10.56 +2025-10-31 17:22:11,781 ERROR: Encountered non-finite generator loss at iter 7550; skipping update. +2025-10-31 17:22:11,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,784 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:11,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:11,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:11,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:11,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.19, mean=-0.1281, std=3.15, absmax=14.27 +2025-10-31 17:22:11,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=10.21, mean=-0.2008, std=2.809, absmax=11.89 +2025-10-31 17:22:12,286 ERROR: Encountered non-finite generator loss at iter 7551; skipping update. +2025-10-31 17:22:12,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:12,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:12,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.92, mean=-0.08009, std=2.928, absmax=13.92 +2025-10-31 17:22:12,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=11.73, mean=-0.1073, std=2.491, absmax=11.73 +2025-10-31 17:22:12,791 ERROR: Encountered non-finite generator loss at iter 7552; skipping update. +2025-10-31 17:22:12,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,794 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:12,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:12,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:12,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:12,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.13, mean=0.009694, std=3.349, absmax=13.85 +2025-10-31 17:22:12,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.73, mean=-0.0005989, std=2.868, absmax=10.73 +2025-10-31 17:22:13,291 ERROR: Encountered non-finite generator loss at iter 7553; skipping update. +2025-10-31 17:22:13,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:13,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:13,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=16.14, mean=-0.1502, std=3.057, absmax=16.14 +2025-10-31 17:22:13,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.339, mean=-0.1273, std=2.421, absmax=10.21 +2025-10-31 17:22:13,794 ERROR: Encountered non-finite generator loss at iter 7554; skipping update. +2025-10-31 17:22:13,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:13,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:13,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:13,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:13,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.89, mean=0.1229, std=3.395, absmax=14.89 +2025-10-31 17:22:13,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.03, mean=0.1202, std=2.85, absmax=11.03 +2025-10-31 17:22:14,299 ERROR: Encountered non-finite generator loss at iter 7555; skipping update. +2025-10-31 17:22:14,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:14,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:14,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.02, mean=-0.1184, std=2.878, absmax=13.02 +2025-10-31 17:22:14,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.25, mean=-0.09965, std=2.359, absmax=11.25 +2025-10-31 17:22:14,802 ERROR: Encountered non-finite generator loss at iter 7556; skipping update. +2025-10-31 17:22:14,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:14,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:14,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:14,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:14,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.15, mean=-0.3826, std=3.075, absmax=13.14 +2025-10-31 17:22:14,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=8.136, mean=-0.3603, std=2.427, absmax=11.41 +2025-10-31 17:22:15,307 ERROR: Encountered non-finite generator loss at iter 7557; skipping update. +2025-10-31 17:22:15,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,310 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:15,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:15,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.26, mean=-0.3174, std=2.797, absmax=13.26 +2025-10-31 17:22:15,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=8.599, mean=-0.3136, std=2.507, absmax=10.75 +2025-10-31 17:22:15,808 ERROR: Encountered non-finite generator loss at iter 7558; skipping update. +2025-10-31 17:22:15,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,812 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:15,813 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:15,814 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:15,815 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:15,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.15, mean=-0.2748, std=2.695, absmax=12.96 +2025-10-31 17:22:15,817 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=8.814, mean=-0.2289, std=2.324, absmax=9.567 +2025-10-31 17:22:16,310 ERROR: Encountered non-finite generator loss at iter 7559; skipping update. +2025-10-31 17:22:16,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,314 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:16,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:16,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.56, max=13.44, mean=-0.1374, std=2.923, absmax=16.56 +2025-10-31 17:22:16,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.794, max=10.49, mean=-0.1434, std=2.336, absmax=10.49 +2025-10-31 17:22:16,813 ERROR: Encountered non-finite generator loss at iter 7560; skipping update. +2025-10-31 17:22:16,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:16,819 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:16,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:16,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:16,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=17.31, mean=0.1016, std=3.275, absmax=17.31 +2025-10-31 17:22:16,823 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.7, mean=0.09467, std=2.855, absmax=11 +2025-10-31 17:22:17,315 ERROR: Encountered non-finite generator loss at iter 7561; skipping update. +2025-10-31 17:22:17,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:17,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:17,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.88, mean=-0.2167, std=2.759, absmax=12.88 +2025-10-31 17:22:17,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=8.783, mean=-0.2463, std=2.321, absmax=11.14 +2025-10-31 17:22:17,817 ERROR: Encountered non-finite generator loss at iter 7562; skipping update. +2025-10-31 17:22:17,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,819 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:17,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:17,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:17,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:17,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=16.38, mean=-0.1846, std=3.026, absmax=16.38 +2025-10-31 17:22:17,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.726, mean=-0.175, std=2.394, absmax=10.15 +2025-10-31 17:22:18,316 ERROR: Encountered non-finite generator loss at iter 7563; skipping update. +2025-10-31 17:22:18,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:18,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:18,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.84, mean=-0.08186, std=2.685, absmax=12.13 +2025-10-31 17:22:18,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.581, mean=-0.06813, std=2.386, absmax=10.7 +2025-10-31 17:22:18,819 ERROR: Encountered non-finite generator loss at iter 7564; skipping update. +2025-10-31 17:22:18,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:18,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:18,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:18,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:18,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.7, mean=-0.03218, std=2.789, absmax=12.7 +2025-10-31 17:22:18,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.3, mean=-0.0233, std=2.298, absmax=10.68 +2025-10-31 17:22:19,322 ERROR: Encountered non-finite generator loss at iter 7565; skipping update. +2025-10-31 17:22:19,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,326 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,327 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,328 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:19,329 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:19,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.59, max=13.19, mean=-0.1258, std=2.326, absmax=13.19 +2025-10-31 17:22:19,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.022, max=8.174, mean=-0.1235, std=2.065, absmax=9.022 +2025-10-31 17:22:19,829 ERROR: Encountered non-finite generator loss at iter 7566; skipping update. +2025-10-31 17:22:19,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,833 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,834 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:19,835 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:19,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:19,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:19,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=14.69, mean=0.03867, std=3.284, absmax=14.69 +2025-10-31 17:22:19,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=13.75, mean=0.05366, std=2.936, absmax=13.75 +2025-10-31 17:22:20,331 ERROR: Encountered non-finite generator loss at iter 7567; skipping update. +2025-10-31 17:22:20,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:20,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:20,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.81, mean=0.08451, std=3.246, absmax=12.81 +2025-10-31 17:22:20,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.9, max=9.367, mean=0.02125, std=2.605, absmax=9.367 +2025-10-31 17:22:20,833 ERROR: Encountered non-finite generator loss at iter 7568; skipping update. +2025-10-31 17:22:20,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:20,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:20,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:20,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:20,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=11.92, mean=-0.3365, std=3.196, absmax=15.29 +2025-10-31 17:22:20,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.45, max=8.433, mean=-0.3389, std=2.727, absmax=13.45 +2025-10-31 17:22:21,334 ERROR: Encountered non-finite generator loss at iter 7569; skipping update. +2025-10-31 17:22:21,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:21,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:21,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.95, mean=0.07084, std=3.062, absmax=13.95 +2025-10-31 17:22:21,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=11.01, mean=0.07175, std=2.642, absmax=11.01 +2025-10-31 17:22:21,836 ERROR: Encountered non-finite generator loss at iter 7570; skipping update. +2025-10-31 17:22:21,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,839 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:21,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:21,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:21,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:21,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.11, mean=-0.0602, std=3.334, absmax=14.11 +2025-10-31 17:22:21,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=12.38, mean=-0.08797, std=2.865, absmax=12.82 +2025-10-31 17:22:22,338 ERROR: Encountered non-finite generator loss at iter 7571; skipping update. +2025-10-31 17:22:22,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:22,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:22,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.42, mean=-0.05601, std=3.37, absmax=14.42 +2025-10-31 17:22:22,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=12.07, mean=-0.0721, std=2.866, absmax=12.07 +2025-10-31 17:22:22,838 ERROR: Encountered non-finite generator loss at iter 7572; skipping update. +2025-10-31 17:22:22,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:22,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:22,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:22,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:22,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.45, mean=-0.1598, std=2.473, absmax=11.45 +2025-10-31 17:22:22,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.827, max=8.287, mean=-0.1926, std=2.078, absmax=8.827 +2025-10-31 17:22:23,339 ERROR: Encountered non-finite generator loss at iter 7573; skipping update. +2025-10-31 17:22:23,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:23,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:23,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14.5, mean=-0.107, std=3.09, absmax=14.5 +2025-10-31 17:22:23,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.51, mean=-0.06448, std=2.477, absmax=10.51 +2025-10-31 17:22:23,866 ERROR: Encountered non-finite generator loss at iter 7574; skipping update. +2025-10-31 17:22:23,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:23,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:23,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:23,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:23,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=12.52, mean=-0.2196, std=2.488, absmax=12.52 +2025-10-31 17:22:23,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.588, max=9.136, mean=-0.2585, std=2.157, absmax=9.136 +2025-10-31 17:22:24,367 ERROR: Encountered non-finite generator loss at iter 7575; skipping update. +2025-10-31 17:22:24,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:24,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:24,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.42, mean=-0.08764, std=2.863, absmax=13.42 +2025-10-31 17:22:24,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.94, max=10.24, mean=-0.1297, std=2.472, absmax=10.24 +2025-10-31 17:22:24,870 ERROR: Encountered non-finite generator loss at iter 7576; skipping update. +2025-10-31 17:22:24,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:24,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:24,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:24,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:24,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.39, mean=-0.03466, std=3.369, absmax=13.88 +2025-10-31 17:22:24,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.707, max=10.53, mean=-0.07698, std=2.78, absmax=10.53 +2025-10-31 17:22:25,373 ERROR: Encountered non-finite generator loss at iter 7577; skipping update. +2025-10-31 17:22:25,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:25,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:25,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.75, mean=-0.2411, std=2.975, absmax=14.75 +2025-10-31 17:22:25,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.13, mean=-0.2485, std=2.538, absmax=10.44 +2025-10-31 17:22:25,878 ERROR: Encountered non-finite generator loss at iter 7578; skipping update. +2025-10-31 17:22:25,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:25,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:25,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:25,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:25,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=16.02, mean=0.04766, std=3.474, absmax=16.02 +2025-10-31 17:22:25,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=12.21, mean=0.01974, std=2.934, absmax=12.21 +2025-10-31 17:22:26,380 ERROR: Encountered non-finite generator loss at iter 7579; skipping update. +2025-10-31 17:22:26,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:26,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:26,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.17, mean=-0.2668, std=3.188, absmax=13.17 +2025-10-31 17:22:26,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.265, mean=-0.2776, std=2.599, absmax=10.22 +2025-10-31 17:22:26,884 ERROR: Encountered non-finite generator loss at iter 7580; skipping update. +2025-10-31 17:22:26,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,888 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:26,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:26,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:26,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:26,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.09, mean=-0.1488, std=2.846, absmax=11.8 +2025-10-31 17:22:26,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=8.143, mean=-0.1732, std=2.49, absmax=11.49 +2025-10-31 17:22:27,392 ERROR: Encountered non-finite generator loss at iter 7581; skipping update. +2025-10-31 17:22:27,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:27,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:27,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.05, mean=-0.1158, std=2.993, absmax=13.05 +2025-10-31 17:22:27,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.34, mean=-0.1266, std=2.581, absmax=11.34 +2025-10-31 17:22:27,896 ERROR: Encountered non-finite generator loss at iter 7582; skipping update. +2025-10-31 17:22:27,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:27,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:27,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:27,902 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:27,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.59, mean=-0.1249, std=2.797, absmax=12.59 +2025-10-31 17:22:27,904 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.788, max=9.741, mean=-0.0888, std=2.424, absmax=9.788 +2025-10-31 17:22:28,398 ERROR: Encountered non-finite generator loss at iter 7583; skipping update. +2025-10-31 17:22:28,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,402 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:28,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:28,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.09, mean=-0.3619, std=3.022, absmax=11.96 +2025-10-31 17:22:28,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.37, mean=-0.3347, std=2.504, absmax=10.66 +2025-10-31 17:22:28,903 ERROR: Encountered non-finite generator loss at iter 7584; skipping update. +2025-10-31 17:22:28,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:28,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:28,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:28,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:28,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.25, mean=-0.1407, std=2.897, absmax=13.25 +2025-10-31 17:22:28,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.659, max=9.996, mean=-0.1341, std=2.433, absmax=9.996 +2025-10-31 17:22:29,408 ERROR: Encountered non-finite generator loss at iter 7585; skipping update. +2025-10-31 17:22:29,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:29,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:29,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.18, mean=-0.1876, std=2.795, absmax=13.18 +2025-10-31 17:22:29,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.843, max=9.848, mean=-0.1611, std=2.214, absmax=9.848 +2025-10-31 17:22:29,913 ERROR: Encountered non-finite generator loss at iter 7586; skipping update. +2025-10-31 17:22:29,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:29,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:29,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:29,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:29,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.31, mean=-0.1921, std=2.69, absmax=12.33 +2025-10-31 17:22:29,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=9.466, mean=-0.1423, std=2.44, absmax=9.466 +2025-10-31 17:22:30,415 ERROR: Encountered non-finite generator loss at iter 7587; skipping update. +2025-10-31 17:22:30,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,419 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,420 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,421 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:30,422 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:30,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.81, mean=-0.2411, std=2.707, absmax=12.81 +2025-10-31 17:22:30,424 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.969, max=8.045, mean=-0.2078, std=2.131, absmax=8.969 +2025-10-31 17:22:30,918 ERROR: Encountered non-finite generator loss at iter 7588; skipping update. +2025-10-31 17:22:30,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,921 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:30,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:30,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:30,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:30,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.05, mean=-0.204, std=2.82, absmax=12.35 +2025-10-31 17:22:30,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=7.877, mean=-0.2158, std=2.294, absmax=10.04 +2025-10-31 17:22:31,421 ERROR: Encountered non-finite generator loss at iter 7589; skipping update. +2025-10-31 17:22:31,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,424 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:31,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:31,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.3, mean=-0.1725, std=2.717, absmax=13.03 +2025-10-31 17:22:31,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.467, mean=-0.1899, std=2.191, absmax=10.56 +2025-10-31 17:22:31,924 ERROR: Encountered non-finite generator loss at iter 7590; skipping update. +2025-10-31 17:22:31,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,929 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:31,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:31,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:31,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:31,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.54, mean=-0.1779, std=3.102, absmax=12.54 +2025-10-31 17:22:31,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.16, mean=-0.1666, std=2.612, absmax=10.93 +2025-10-31 17:22:32,427 ERROR: Encountered non-finite generator loss at iter 7591; skipping update. +2025-10-31 17:22:32,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,429 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:32,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:32,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.83, mean=-0.2121, std=2.46, absmax=12.83 +2025-10-31 17:22:32,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.201, max=7.429, mean=-0.2349, std=1.908, absmax=8.201 +2025-10-31 17:22:32,935 ERROR: Encountered non-finite generator loss at iter 7592; skipping update. +2025-10-31 17:22:32,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:32,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:32,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:32,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:32,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=14.4, mean=-0.08547, std=3.713, absmax=14.69 +2025-10-31 17:22:32,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.86, max=13.38, mean=-0.04503, std=3.352, absmax=14.86 +2025-10-31 17:22:33,437 ERROR: Encountered non-finite generator loss at iter 7593; skipping update. +2025-10-31 17:22:33,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:33,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:33,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.05, mean=-0.1336, std=3.12, absmax=13.6 +2025-10-31 17:22:33,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=12.63, mean=-0.1305, std=2.635, absmax=12.63 +2025-10-31 17:22:33,945 ERROR: Encountered non-finite generator loss at iter 7594; skipping update. +2025-10-31 17:22:33,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:33,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:33,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:33,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:33,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.98, mean=-0.1827, std=3.209, absmax=12.98 +2025-10-31 17:22:33,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.47, mean=-0.1618, std=2.575, absmax=10.47 +2025-10-31 17:22:34,448 ERROR: Encountered non-finite generator loss at iter 7595; skipping update. +2025-10-31 17:22:34,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:34,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:34,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.03, mean=-0.2401, std=2.549, absmax=13.41 +2025-10-31 17:22:34,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.675, max=9.847, mean=-0.2371, std=2.11, absmax=9.847 +2025-10-31 17:22:34,949 ERROR: Encountered non-finite generator loss at iter 7596; skipping update. +2025-10-31 17:22:34,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,954 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,954 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:34,955 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:34,956 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:34,957 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:34,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=17.18, mean=-0.1511, std=3.517, absmax=17.18 +2025-10-31 17:22:34,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.611, max=12.75, mean=-0.1746, std=2.723, absmax=12.75 +2025-10-31 17:22:35,453 ERROR: Encountered non-finite generator loss at iter 7597; skipping update. +2025-10-31 17:22:35,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:35,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:35,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.31, mean=-0.2102, std=3.12, absmax=12.59 +2025-10-31 17:22:35,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.02, mean=-0.1985, std=2.787, absmax=11.09 +2025-10-31 17:22:35,957 ERROR: Encountered non-finite generator loss at iter 7598; skipping update. +2025-10-31 17:22:35,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,959 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:35,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:35,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:35,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:35,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.33, mean=-0.2947, std=2.717, absmax=13.33 +2025-10-31 17:22:35,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.282, max=9.232, mean=-0.2516, std=2.187, absmax=9.282 +2025-10-31 17:22:36,458 ERROR: Encountered non-finite generator loss at iter 7599; skipping update. +2025-10-31 17:22:36,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:36,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:36,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.24, mean=-0.07242, std=3.768, absmax=14.24 +2025-10-31 17:22:36,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.6, mean=-0.05774, std=3.279, absmax=11.6 +2025-10-31 17:22:36,962 ERROR: Encountered non-finite generator loss at iter 7600; skipping update. +2025-10-31 17:22:36,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:36,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:36,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:36,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:36,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.58, mean=0.08312, std=3.435, absmax=14.58 +2025-10-31 17:22:36,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=12.56, mean=0.04853, std=2.854, absmax=12.56 +2025-10-31 17:22:36,974 INFO: [29..][epoch: 0, step: 7,600, lr:(1.500e-04,)] [eta: 1 day, 17:46:41, time (data): 0.504 (0.000)] +2025-10-31 17:22:37,467 ERROR: Encountered non-finite generator loss at iter 7601; skipping update. +2025-10-31 17:22:37,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:37,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:37,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=11.92, mean=-0.2005, std=2.448, absmax=11.92 +2025-10-31 17:22:37,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.408, max=8.403, mean=-0.1839, std=2.227, absmax=9.408 +2025-10-31 17:22:37,971 ERROR: Encountered non-finite generator loss at iter 7602; skipping update. +2025-10-31 17:22:37,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:37,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:37,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:37,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:37,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.17, mean=-0.2389, std=2.868, absmax=13.22 +2025-10-31 17:22:37,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.984, mean=-0.2703, std=2.463, absmax=10.35 +2025-10-31 17:22:38,474 ERROR: Encountered non-finite generator loss at iter 7603; skipping update. +2025-10-31 17:22:38,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:38,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:38,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.17, mean=-0.1998, std=2.768, absmax=13.17 +2025-10-31 17:22:38,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.753, max=9.255, mean=-0.1881, std=2.248, absmax=9.753 +2025-10-31 17:22:38,979 ERROR: Encountered non-finite generator loss at iter 7604; skipping update. +2025-10-31 17:22:38,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:38,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:38,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:38,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:38,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.95, mean=-0.065, std=2.968, absmax=12.18 +2025-10-31 17:22:38,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.8, mean=-0.06402, std=2.601, absmax=10.8 +2025-10-31 17:22:39,485 ERROR: Encountered non-finite generator loss at iter 7605; skipping update. +2025-10-31 17:22:39,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:39,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:39,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=16.2, mean=-0.2834, std=2.889, absmax=16.2 +2025-10-31 17:22:39,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=13.04, mean=-0.2288, std=2.441, absmax=13.04 +2025-10-31 17:22:39,987 ERROR: Encountered non-finite generator loss at iter 7606; skipping update. +2025-10-31 17:22:39,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:39,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:39,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:39,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:39,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.91, mean=-0.03113, std=3.227, absmax=13.14 +2025-10-31 17:22:39,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=10.74, mean=-0.06076, std=2.883, absmax=11.09 +2025-10-31 17:22:40,491 ERROR: Encountered non-finite generator loss at iter 7607; skipping update. +2025-10-31 17:22:40,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:40,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:40,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:40,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:40,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:40,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:40,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:40,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:40,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.16, mean=-0.1809, std=3.417, absmax=14.35 +2025-10-31 17:22:40,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=10.52, mean=-0.196, std=2.911, absmax=11.72 +2025-10-31 17:22:41,000 ERROR: Encountered non-finite generator loss at iter 7608; skipping update. +2025-10-31 17:22:41,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:41,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:41,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=15.44, mean=-0.2544, std=2.989, absmax=15.44 +2025-10-31 17:22:41,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.21, mean=-0.2382, std=2.475, absmax=11.21 +2025-10-31 17:22:41,502 ERROR: Encountered non-finite generator loss at iter 7609; skipping update. +2025-10-31 17:22:41,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:41,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:41,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:41,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:41,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=13.46, mean=-0.2269, std=3.141, absmax=14.46 +2025-10-31 17:22:41,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.935, mean=-0.2328, std=2.502, absmax=11.89 +2025-10-31 17:22:42,004 ERROR: Encountered non-finite generator loss at iter 7610; skipping update. +2025-10-31 17:22:42,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,008 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:42,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:42,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.81, mean=-0.2207, std=3.043, absmax=12.81 +2025-10-31 17:22:42,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.08, mean=-0.1972, std=2.475, absmax=10.55 +2025-10-31 17:22:42,507 ERROR: Encountered non-finite generator loss at iter 7611; skipping update. +2025-10-31 17:22:42,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,510 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,511 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:42,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:42,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:42,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:42,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.75, mean=-0.1523, std=2.705, absmax=12.64 +2025-10-31 17:22:42,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.4, max=9.454, mean=-0.1432, std=2.264, absmax=9.454 +2025-10-31 17:22:43,008 ERROR: Encountered non-finite generator loss at iter 7612; skipping update. +2025-10-31 17:22:43,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:43,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:43,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=15.71, mean=-0.1262, std=3.502, absmax=15.71 +2025-10-31 17:22:43,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=11.25, mean=-0.1143, std=2.893, absmax=11.25 +2025-10-31 17:22:43,514 ERROR: Encountered non-finite generator loss at iter 7613; skipping update. +2025-10-31 17:22:43,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,516 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,517 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,518 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,519 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:43,520 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:43,521 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:43,522 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:43,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=14.16, mean=0.007285, std=2.502, absmax=14.16 +2025-10-31 17:22:43,524 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.279, max=9.145, mean=-0.08102, std=2.164, absmax=9.145 +2025-10-31 17:22:44,018 ERROR: Encountered non-finite generator loss at iter 7614; skipping update. +2025-10-31 17:22:44,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:44,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:44,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.64, mean=-0.2066, std=3.191, absmax=13.64 +2025-10-31 17:22:44,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=9.761, mean=-0.1833, std=2.713, absmax=10.36 +2025-10-31 17:22:44,524 ERROR: Encountered non-finite generator loss at iter 7615; skipping update. +2025-10-31 17:22:44,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:44,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:44,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:44,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:44,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=15.9, mean=-0.3971, std=3.394, absmax=16.23 +2025-10-31 17:22:44,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=11.59, mean=-0.2595, std=2.843, absmax=11.97 +2025-10-31 17:22:45,029 ERROR: Encountered non-finite generator loss at iter 7616; skipping update. +2025-10-31 17:22:45,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:45,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:45,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.3, mean=0.01093, std=4.341, absmax=13.96 +2025-10-31 17:22:45,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=12.33, mean=-0.04412, std=3.634, absmax=12.33 +2025-10-31 17:22:45,534 ERROR: Encountered non-finite generator loss at iter 7617; skipping update. +2025-10-31 17:22:45,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,538 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:45,541 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:45,542 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:45,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:45,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=16.91, mean=-0.04791, std=3.475, absmax=16.91 +2025-10-31 17:22:45,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=11.71, mean=-0.01456, std=2.958, absmax=11.71 +2025-10-31 17:22:46,039 ERROR: Encountered non-finite generator loss at iter 7618; skipping update. +2025-10-31 17:22:46,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:46,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:46,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=9.971, mean=-0.2768, std=2.442, absmax=10.38 +2025-10-31 17:22:46,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.307, max=7.771, mean=-0.2127, std=2.122, absmax=9.307 +2025-10-31 17:22:46,542 ERROR: Encountered non-finite generator loss at iter 7619; skipping update. +2025-10-31 17:22:46,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,545 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:46,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:46,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:46,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:46,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14, mean=-0.2776, std=3.587, absmax=14 +2025-10-31 17:22:46,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=9.533, mean=-0.2219, std=3.008, absmax=11.77 +2025-10-31 17:22:47,047 ERROR: Encountered non-finite generator loss at iter 7620; skipping update. +2025-10-31 17:22:47,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:47,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:47,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=15.31, mean=-0.1915, std=3.088, absmax=15.31 +2025-10-31 17:22:47,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.948, max=9.364, mean=-0.1569, std=2.521, absmax=9.948 +2025-10-31 17:22:47,553 ERROR: Encountered non-finite generator loss at iter 7621; skipping update. +2025-10-31 17:22:47,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:47,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:47,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:47,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:47,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.68, mean=0.1108, std=3.583, absmax=13.68 +2025-10-31 17:22:47,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.61, mean=0.05669, std=2.978, absmax=10.97 +2025-10-31 17:22:48,057 ERROR: Encountered non-finite generator loss at iter 7622; skipping update. +2025-10-31 17:22:48,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:48,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:48,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=11.71, mean=0.05169, std=3.536, absmax=15.18 +2025-10-31 17:22:48,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=10.11, mean=0.03597, std=2.964, absmax=11.36 +2025-10-31 17:22:48,561 ERROR: Encountered non-finite generator loss at iter 7623; skipping update. +2025-10-31 17:22:48,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:48,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:48,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:48,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:48,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.18, mean=-0.3107, std=2.595, absmax=12.9 +2025-10-31 17:22:48,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.714, max=9.905, mean=-0.2662, std=2.099, absmax=9.905 +2025-10-31 17:22:49,067 ERROR: Encountered non-finite generator loss at iter 7624; skipping update. +2025-10-31 17:22:49,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:49,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:49,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.7, max=14.26, mean=0.06564, std=3.298, absmax=16.7 +2025-10-31 17:22:49,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.913, max=10.64, mean=0.0374, std=2.521, absmax=10.64 +2025-10-31 17:22:49,572 ERROR: Encountered non-finite generator loss at iter 7625; skipping update. +2025-10-31 17:22:49,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:49,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:49,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:49,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:49,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.68, mean=-0.2792, std=2.891, absmax=12.4 +2025-10-31 17:22:49,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.78, mean=-0.2778, std=2.474, absmax=11.02 +2025-10-31 17:22:50,077 ERROR: Encountered non-finite generator loss at iter 7626; skipping update. +2025-10-31 17:22:50,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,080 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:50,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:50,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.86, mean=-0.06238, std=2.82, absmax=13.86 +2025-10-31 17:22:50,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10, mean=-0.1063, std=2.276, absmax=10.14 +2025-10-31 17:22:50,581 ERROR: Encountered non-finite generator loss at iter 7627; skipping update. +2025-10-31 17:22:50,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:50,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:50,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:50,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:50,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.31, mean=0.1802, std=3.508, absmax=12.52 +2025-10-31 17:22:50,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=12.04, mean=0.1168, std=2.918, absmax=12.04 +2025-10-31 17:22:51,086 ERROR: Encountered non-finite generator loss at iter 7628; skipping update. +2025-10-31 17:22:51,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:51,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:51,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.22, mean=-0.04412, std=3.418, absmax=13.59 +2025-10-31 17:22:51,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=8.978, mean=-0.0717, std=2.728, absmax=11.3 +2025-10-31 17:22:51,593 ERROR: Encountered non-finite generator loss at iter 7629; skipping update. +2025-10-31 17:22:51,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:51,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:51,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:51,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:51,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.96, mean=-0.1106, std=3.104, absmax=13.96 +2025-10-31 17:22:51,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=10.47, mean=-0.1722, std=2.478, absmax=11.5 +2025-10-31 17:22:52,098 ERROR: Encountered non-finite generator loss at iter 7630; skipping update. +2025-10-31 17:22:52,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:52,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:52,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.22, mean=-0.1295, std=3.323, absmax=13.26 +2025-10-31 17:22:52,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.387, mean=-0.1725, std=2.741, absmax=11.06 +2025-10-31 17:22:52,602 ERROR: Encountered non-finite generator loss at iter 7631; skipping update. +2025-10-31 17:22:52,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:52,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:52,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:52,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:52,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.98, mean=-0.09687, std=2.757, absmax=13.98 +2025-10-31 17:22:52,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.911, max=9.637, mean=-0.08937, std=2.256, absmax=9.637 +2025-10-31 17:22:53,099 ERROR: Encountered non-finite generator loss at iter 7632; skipping update. +2025-10-31 17:22:53,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:53,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:53,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=15.04, mean=0.1021, std=3.445, absmax=15.04 +2025-10-31 17:22:53,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=11.84, mean=0.0315, std=2.786, absmax=11.84 +2025-10-31 17:22:53,603 ERROR: Encountered non-finite generator loss at iter 7633; skipping update. +2025-10-31 17:22:53,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:53,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:53,609 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:53,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:53,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.34, mean=-0.1543, std=2.647, absmax=11.72 +2025-10-31 17:22:53,612 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.087, max=9.04, mean=-0.1048, std=2.321, absmax=9.087 +2025-10-31 17:22:54,104 ERROR: Encountered non-finite generator loss at iter 7634; skipping update. +2025-10-31 17:22:54,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:54,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:54,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=12.51, mean=-0.1434, std=3.048, absmax=15.32 +2025-10-31 17:22:54,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=9.193, mean=-0.1219, std=2.48, absmax=11.68 +2025-10-31 17:22:54,606 ERROR: Encountered non-finite generator loss at iter 7635; skipping update. +2025-10-31 17:22:54,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:54,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:54,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:54,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:54,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.29, mean=-0.2935, std=2.824, absmax=14.29 +2025-10-31 17:22:54,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=9.387, mean=-0.3, std=2.454, absmax=9.867 +2025-10-31 17:22:55,110 ERROR: Encountered non-finite generator loss at iter 7636; skipping update. +2025-10-31 17:22:55,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:55,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:55,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.61, max=14.77, mean=0.1603, std=3.456, absmax=17.61 +2025-10-31 17:22:55,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=12.47, mean=0.09683, std=3.023, absmax=12.47 +2025-10-31 17:22:55,614 ERROR: Encountered non-finite generator loss at iter 7637; skipping update. +2025-10-31 17:22:55,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,620 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,621 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:55,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:55,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:55,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:55,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.18, mean=-0.1335, std=2.847, absmax=14.18 +2025-10-31 17:22:55,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.667, mean=-0.1641, std=2.262, absmax=11.3 +2025-10-31 17:22:56,118 ERROR: Encountered non-finite generator loss at iter 7638; skipping update. +2025-10-31 17:22:56,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,124 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:56,125 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:56,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.18, mean=-0.2008, std=2.33, absmax=13.18 +2025-10-31 17:22:56,127 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.576, max=8.301, mean=-0.2488, std=1.951, absmax=8.576 +2025-10-31 17:22:56,621 ERROR: Encountered non-finite generator loss at iter 7639; skipping update. +2025-10-31 17:22:56,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:56,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:56,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:56,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:56,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.46, mean=0.003286, std=3.234, absmax=14.46 +2025-10-31 17:22:56,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=11.53, mean=-0.01849, std=2.684, absmax=11.53 +2025-10-31 17:22:57,126 ERROR: Encountered non-finite generator loss at iter 7640; skipping update. +2025-10-31 17:22:57,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:57,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:57,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=10.36, mean=-0.1953, std=2.654, absmax=11.36 +2025-10-31 17:22:57,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.729, max=8.879, mean=-0.182, std=2.235, absmax=8.879 +2025-10-31 17:22:57,631 ERROR: Encountered non-finite generator loss at iter 7641; skipping update. +2025-10-31 17:22:57,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:57,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:57,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:57,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:57,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.35, max=13.11, mean=-0.2062, std=3.22, absmax=16.35 +2025-10-31 17:22:57,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.943, mean=-0.1828, std=2.712, absmax=10.63 +2025-10-31 17:22:58,135 ERROR: Encountered non-finite generator loss at iter 7642; skipping update. +2025-10-31 17:22:58,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:58,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:58,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.16, mean=0.03209, std=2.906, absmax=16.16 +2025-10-31 17:22:58,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.887, max=9.842, mean=0.002816, std=2.377, absmax=9.842 +2025-10-31 17:22:58,637 ERROR: Encountered non-finite generator loss at iter 7643; skipping update. +2025-10-31 17:22:58,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:58,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:58,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:58,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:58,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.1, mean=-0.09423, std=3.249, absmax=13.75 +2025-10-31 17:22:58,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.12, mean=-0.08023, std=2.697, absmax=10.12 +2025-10-31 17:22:59,139 ERROR: Encountered non-finite generator loss at iter 7644; skipping update. +2025-10-31 17:22:59,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,147 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:59,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:59,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=16.58, mean=-0.13, std=3.017, absmax=16.58 +2025-10-31 17:22:59,150 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=13.2, mean=-0.08476, std=2.638, absmax=13.2 +2025-10-31 17:22:59,644 ERROR: Encountered non-finite generator loss at iter 7645; skipping update. +2025-10-31 17:22:59,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:22:59,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:22:59,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:22:59,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:22:59,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=13.6, mean=-0.334, std=3.235, absmax=15.59 +2025-10-31 17:22:59,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.87, max=10.18, mean=-0.2624, std=2.737, absmax=12.87 +2025-10-31 17:23:00,149 ERROR: Encountered non-finite generator loss at iter 7646; skipping update. +2025-10-31 17:23:00,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:00,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:00,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.07, mean=0.01518, std=3.401, absmax=13.33 +2025-10-31 17:23:00,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.66, mean=0.002119, std=2.899, absmax=11.66 +2025-10-31 17:23:00,650 ERROR: Encountered non-finite generator loss at iter 7647; skipping update. +2025-10-31 17:23:00,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,654 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:00,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:00,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:00,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:00,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=12.86, mean=-0.1401, std=2.566, absmax=12.86 +2025-10-31 17:23:00,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.793, max=9.791, mean=-0.1323, std=2.127, absmax=9.791 +2025-10-31 17:23:01,153 ERROR: Encountered non-finite generator loss at iter 7648; skipping update. +2025-10-31 17:23:01,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,155 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:01,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:01,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.18, mean=-0.008414, std=3.063, absmax=12.18 +2025-10-31 17:23:01,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.88, mean=-0.003377, std=2.689, absmax=11.88 +2025-10-31 17:23:01,655 ERROR: Encountered non-finite generator loss at iter 7649; skipping update. +2025-10-31 17:23:01,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,657 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:01,660 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:01,661 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:01,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:01,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.01, mean=-0.1164, std=3.528, absmax=13.01 +2025-10-31 17:23:01,664 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.2, mean=-0.09506, std=2.689, absmax=10.2 +2025-10-31 17:23:02,158 ERROR: Encountered non-finite generator loss at iter 7650; skipping update. +2025-10-31 17:23:02,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:02,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:02,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.55, max=15.23, mean=-0.09597, std=3.207, absmax=17.55 +2025-10-31 17:23:02,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=13.09, mean=-0.08433, std=2.743, absmax=13.09 +2025-10-31 17:23:02,662 ERROR: Encountered non-finite generator loss at iter 7651; skipping update. +2025-10-31 17:23:02,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:02,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:02,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:02,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:02,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=15.62, mean=0.1592, std=3.8, absmax=15.62 +2025-10-31 17:23:02,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=14, mean=0.158, std=3.31, absmax=14 +2025-10-31 17:23:03,167 ERROR: Encountered non-finite generator loss at iter 7652; skipping update. +2025-10-31 17:23:03,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:03,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:03,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=10.48, mean=-0.3584, std=2.785, absmax=13.18 +2025-10-31 17:23:03,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.154, mean=-0.2798, std=2.483, absmax=10.4 +2025-10-31 17:23:03,669 ERROR: Encountered non-finite generator loss at iter 7653; skipping update. +2025-10-31 17:23:03,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:03,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:03,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:03,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:03,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.41, mean=-0.2475, std=2.667, absmax=14.41 +2025-10-31 17:23:03,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.724, max=10.43, mean=-0.1992, std=2.24, absmax=10.43 +2025-10-31 17:23:04,174 ERROR: Encountered non-finite generator loss at iter 7654; skipping update. +2025-10-31 17:23:04,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:04,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:04,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11.62, mean=-0.04512, std=3.097, absmax=12.16 +2025-10-31 17:23:04,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.648, max=9.025, mean=-0.07597, std=2.381, absmax=9.648 +2025-10-31 17:23:04,677 ERROR: Encountered non-finite generator loss at iter 7655; skipping update. +2025-10-31 17:23:04,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:04,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:04,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:04,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:04,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.25, mean=-0.125, std=3.04, absmax=13.25 +2025-10-31 17:23:04,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.349, max=10.61, mean=-0.1466, std=2.487, absmax=10.61 +2025-10-31 17:23:05,182 ERROR: Encountered non-finite generator loss at iter 7656; skipping update. +2025-10-31 17:23:05,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:05,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:05,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.82, mean=-0.1106, std=2.689, absmax=11.82 +2025-10-31 17:23:05,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=10.22, mean=-0.1279, std=2.363, absmax=10.3 +2025-10-31 17:23:05,686 ERROR: Encountered non-finite generator loss at iter 7657; skipping update. +2025-10-31 17:23:05,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:05,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:05,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:05,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:05,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=14.09, mean=-0.03347, std=2.897, absmax=14.09 +2025-10-31 17:23:05,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.51, mean=-0.07065, std=2.469, absmax=10.99 +2025-10-31 17:23:06,191 ERROR: Encountered non-finite generator loss at iter 7658; skipping update. +2025-10-31 17:23:06,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:06,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:06,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.42, max=12.43, mean=-0.2128, std=3.277, absmax=15.42 +2025-10-31 17:23:06,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.644, mean=-0.2058, std=2.731, absmax=11.3 +2025-10-31 17:23:06,695 ERROR: Encountered non-finite generator loss at iter 7659; skipping update. +2025-10-31 17:23:06,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:06,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:06,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:06,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:06,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.99, mean=-0.1648, std=2.869, absmax=11.99 +2025-10-31 17:23:06,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.751, max=8.881, mean=-0.1853, std=2.338, absmax=9.751 +2025-10-31 17:23:07,198 ERROR: Encountered non-finite generator loss at iter 7660; skipping update. +2025-10-31 17:23:07,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:07,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:07,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=16.12, mean=-0.05306, std=2.809, absmax=16.12 +2025-10-31 17:23:07,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=12.79, mean=-0.07945, std=2.325, absmax=12.79 +2025-10-31 17:23:07,702 ERROR: Encountered non-finite generator loss at iter 7661; skipping update. +2025-10-31 17:23:07,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:07,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:07,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:07,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:07,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.53, mean=-0.344, std=3.1, absmax=12.53 +2025-10-31 17:23:07,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=7.987, mean=-0.3349, std=2.545, absmax=10.09 +2025-10-31 17:23:08,207 ERROR: Encountered non-finite generator loss at iter 7662; skipping update. +2025-10-31 17:23:08,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:08,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:08,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.41, mean=0.06478, std=3.818, absmax=14.41 +2025-10-31 17:23:08,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=11.29, mean=0.02347, std=3.14, absmax=11.29 +2025-10-31 17:23:08,712 ERROR: Encountered non-finite generator loss at iter 7663; skipping update. +2025-10-31 17:23:08,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:08,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:08,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:08,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:08,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.3, mean=-0.05935, std=2.629, absmax=12.3 +2025-10-31 17:23:08,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.27, max=8.442, mean=-0.08332, std=2.148, absmax=9.27 +2025-10-31 17:23:09,216 ERROR: Encountered non-finite generator loss at iter 7664; skipping update. +2025-10-31 17:23:09,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:09,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:09,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.39, mean=-0.1944, std=3.069, absmax=13.82 +2025-10-31 17:23:09,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=9.074, mean=-0.2177, std=2.633, absmax=11.45 +2025-10-31 17:23:09,720 ERROR: Encountered non-finite generator loss at iter 7665; skipping update. +2025-10-31 17:23:09,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:09,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:09,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:09,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:09,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=13.69, mean=-0.02681, std=3.313, absmax=15.04 +2025-10-31 17:23:09,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.25, max=10.82, mean=-0.057, std=2.733, absmax=13.25 +2025-10-31 17:23:10,225 ERROR: Encountered non-finite generator loss at iter 7666; skipping update. +2025-10-31 17:23:10,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:10,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:10,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.63, mean=-0.307, std=3.416, absmax=14.63 +2025-10-31 17:23:10,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.58, mean=-0.2855, std=2.907, absmax=11.61 +2025-10-31 17:23:10,729 ERROR: Encountered non-finite generator loss at iter 7667; skipping update. +2025-10-31 17:23:10,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:10,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:10,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:10,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:10,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=13.09, mean=0.06266, std=2.878, absmax=13.09 +2025-10-31 17:23:10,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.25, max=10.86, mean=0.04586, std=2.531, absmax=10.86 +2025-10-31 17:23:11,233 ERROR: Encountered non-finite generator loss at iter 7668; skipping update. +2025-10-31 17:23:11,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:11,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:11,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.75, mean=-0.02645, std=3.224, absmax=13.22 +2025-10-31 17:23:11,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.25, mean=-0.001405, std=2.771, absmax=10.25 +2025-10-31 17:23:11,736 ERROR: Encountered non-finite generator loss at iter 7669; skipping update. +2025-10-31 17:23:11,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:11,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:11,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:11,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:11,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=10.92, mean=-0.2007, std=2.606, absmax=13.15 +2025-10-31 17:23:11,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.03, mean=-0.2579, std=2.377, absmax=11.29 +2025-10-31 17:23:12,237 ERROR: Encountered non-finite generator loss at iter 7670; skipping update. +2025-10-31 17:23:12,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:12,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:12,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=17.49, mean=-0.264, std=2.963, absmax=17.49 +2025-10-31 17:23:12,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.998, max=11.08, mean=-0.2647, std=2.445, absmax=11.08 +2025-10-31 17:23:12,740 ERROR: Encountered non-finite generator loss at iter 7671; skipping update. +2025-10-31 17:23:12,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,742 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,744 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:12,745 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:12,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:12,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:12,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=10.91, mean=-0.1695, std=3.126, absmax=12.76 +2025-10-31 17:23:12,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.871, max=10.76, mean=-0.1455, std=2.619, absmax=10.76 +2025-10-31 17:23:13,244 ERROR: Encountered non-finite generator loss at iter 7672; skipping update. +2025-10-31 17:23:13,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:13,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:13,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=17.62, mean=-0.0644, std=2.757, absmax=17.62 +2025-10-31 17:23:13,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=13.2, mean=-0.04623, std=2.298, absmax=13.2 +2025-10-31 17:23:13,748 ERROR: Encountered non-finite generator loss at iter 7673; skipping update. +2025-10-31 17:23:13,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:13,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:13,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:13,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:13,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.63, mean=-0.2337, std=3.591, absmax=12.74 +2025-10-31 17:23:13,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.987, mean=-0.1943, std=3.021, absmax=10.16 +2025-10-31 17:23:14,254 ERROR: Encountered non-finite generator loss at iter 7674; skipping update. +2025-10-31 17:23:14,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:14,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:14,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.81, mean=-0.08732, std=3.033, absmax=13.81 +2025-10-31 17:23:14,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.788, mean=-0.11, std=2.424, absmax=10.14 +2025-10-31 17:23:14,758 ERROR: Encountered non-finite generator loss at iter 7675; skipping update. +2025-10-31 17:23:14,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:14,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:14,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:14,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:14,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.49, mean=-0.3245, std=2.817, absmax=12.52 +2025-10-31 17:23:14,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.538, mean=-0.3148, std=2.374, absmax=10.33 +2025-10-31 17:23:15,262 ERROR: Encountered non-finite generator loss at iter 7676; skipping update. +2025-10-31 17:23:15,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:15,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:15,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.1, mean=-0.06034, std=2.67, absmax=13.1 +2025-10-31 17:23:15,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.854, max=10.99, mean=-0.114, std=2.204, absmax=10.99 +2025-10-31 17:23:15,764 ERROR: Encountered non-finite generator loss at iter 7677; skipping update. +2025-10-31 17:23:15,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:15,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:15,770 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:15,771 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:15,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.44, mean=-0.2212, std=3.084, absmax=13.55 +2025-10-31 17:23:15,773 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.809, max=8.29, mean=-0.2361, std=2.518, absmax=9.809 +2025-10-31 17:23:16,266 ERROR: Encountered non-finite generator loss at iter 7678; skipping update. +2025-10-31 17:23:16,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,269 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,270 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:16,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:16,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=11.71, mean=-0.253, std=3.139, absmax=14.21 +2025-10-31 17:23:16,276 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=7.538, mean=-0.2986, std=2.666, absmax=12.4 +2025-10-31 17:23:16,769 ERROR: Encountered non-finite generator loss at iter 7679; skipping update. +2025-10-31 17:23:16,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:16,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:16,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:16,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:16,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=12.46, mean=-0.0901, std=3.34, absmax=14.54 +2025-10-31 17:23:16,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.19, mean=-0.1021, std=2.776, absmax=10.38 +2025-10-31 17:23:17,273 ERROR: Encountered non-finite generator loss at iter 7680; skipping update. +2025-10-31 17:23:17,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:17,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:17,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=15.25, mean=-0.1059, std=3.558, absmax=15.25 +2025-10-31 17:23:17,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.97, mean=-0.06973, std=2.861, absmax=10.97 +2025-10-31 17:23:17,776 ERROR: Encountered non-finite generator loss at iter 7681; skipping update. +2025-10-31 17:23:17,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:17,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:17,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:17,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:17,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=10.11, mean=-0.2258, std=2.591, absmax=11.55 +2025-10-31 17:23:17,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=8.805, mean=-0.21, std=2.238, absmax=11.46 +2025-10-31 17:23:18,280 ERROR: Encountered non-finite generator loss at iter 7682; skipping update. +2025-10-31 17:23:18,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:18,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:18,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.31, mean=0.05966, std=2.81, absmax=13.83 +2025-10-31 17:23:18,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.29, mean=-0.0126, std=2.33, absmax=11.29 +2025-10-31 17:23:18,783 ERROR: Encountered non-finite generator loss at iter 7683; skipping update. +2025-10-31 17:23:18,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:18,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:18,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:18,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:18,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.37, mean=-0.07612, std=3.124, absmax=12.65 +2025-10-31 17:23:18,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.77, max=10.28, mean=-0.08987, std=2.488, absmax=10.28 +2025-10-31 17:23:19,286 ERROR: Encountered non-finite generator loss at iter 7684; skipping update. +2025-10-31 17:23:19,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,290 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,292 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,293 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:19,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:19,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.19, mean=-0.269, std=2.959, absmax=13.94 +2025-10-31 17:23:19,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.963, max=9.538, mean=-0.2942, std=2.384, absmax=9.963 +2025-10-31 17:23:19,790 ERROR: Encountered non-finite generator loss at iter 7685; skipping update. +2025-10-31 17:23:19,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:19,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:19,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:19,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:19,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.54, mean=-0.1495, std=3.029, absmax=13.54 +2025-10-31 17:23:19,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.7, mean=-0.1285, std=2.626, absmax=11.7 +2025-10-31 17:23:20,292 ERROR: Encountered non-finite generator loss at iter 7686; skipping update. +2025-10-31 17:23:20,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:20,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:20,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=12.5, mean=-0.2658, std=3.17, absmax=15.38 +2025-10-31 17:23:20,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=9.658, mean=-0.2226, std=2.698, absmax=12.12 +2025-10-31 17:23:20,794 ERROR: Encountered non-finite generator loss at iter 7687; skipping update. +2025-10-31 17:23:20,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:20,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:20,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:20,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:20,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.65, mean=-0.05827, std=3.302, absmax=13.65 +2025-10-31 17:23:20,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.26, mean=-0.1254, std=2.844, absmax=10.85 +2025-10-31 17:23:21,297 ERROR: Encountered non-finite generator loss at iter 7688; skipping update. +2025-10-31 17:23:21,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:21,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:21,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.87, mean=-0.224, std=2.34, absmax=11.37 +2025-10-31 17:23:21,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.791, max=8.633, mean=-0.2252, std=2.148, absmax=9.791 +2025-10-31 17:23:21,799 ERROR: Encountered non-finite generator loss at iter 7689; skipping update. +2025-10-31 17:23:21,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,803 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,804 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:21,805 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:21,806 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:21,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:21,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=15.99, mean=-0.07482, std=3.162, absmax=15.99 +2025-10-31 17:23:21,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.49, mean=-0.07782, std=2.634, absmax=10.49 +2025-10-31 17:23:22,299 ERROR: Encountered non-finite generator loss at iter 7690; skipping update. +2025-10-31 17:23:22,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:22,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:22,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.09, mean=-0.1422, std=2.826, absmax=12.88 +2025-10-31 17:23:22,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.03, mean=-0.09154, std=2.599, absmax=10.58 +2025-10-31 17:23:22,804 ERROR: Encountered non-finite generator loss at iter 7691; skipping update. +2025-10-31 17:23:22,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,807 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:22,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:22,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:22,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:22,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.89, mean=-0.1364, std=3.337, absmax=13.7 +2025-10-31 17:23:22,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.923, mean=-0.1214, std=2.593, absmax=10.07 +2025-10-31 17:23:23,307 ERROR: Encountered non-finite generator loss at iter 7692; skipping update. +2025-10-31 17:23:23,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,314 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:23,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:23,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.88, mean=-0.08554, std=2.59, absmax=14.88 +2025-10-31 17:23:23,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.895, max=10.02, mean=-0.1281, std=2.077, absmax=10.02 +2025-10-31 17:23:23,815 ERROR: Encountered non-finite generator loss at iter 7693; skipping update. +2025-10-31 17:23:23,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:23,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:23,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:23,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:23,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.91, mean=-0.1748, std=2.965, absmax=15.91 +2025-10-31 17:23:23,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=12.11, mean=-0.2054, std=2.376, absmax=12.11 +2025-10-31 17:23:24,317 ERROR: Encountered non-finite generator loss at iter 7694; skipping update. +2025-10-31 17:23:24,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:24,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:24,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.71, mean=-0.1088, std=3.062, absmax=13.71 +2025-10-31 17:23:24,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.418, mean=-0.1387, std=2.334, absmax=10.09 +2025-10-31 17:23:24,822 ERROR: Encountered non-finite generator loss at iter 7695; skipping update. +2025-10-31 17:23:24,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:24,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:24,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:24,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:24,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.04, mean=-0.1754, std=2.754, absmax=13 +2025-10-31 17:23:24,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=10.14, mean=-0.1955, std=2.556, absmax=12.28 +2025-10-31 17:23:25,324 ERROR: Encountered non-finite generator loss at iter 7696; skipping update. +2025-10-31 17:23:25,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,326 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:25,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:25,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.39, mean=-0.2926, std=3.211, absmax=14.39 +2025-10-31 17:23:25,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.936, max=9.181, mean=-0.2709, std=2.61, absmax=9.936 +2025-10-31 17:23:25,825 ERROR: Encountered non-finite generator loss at iter 7697; skipping update. +2025-10-31 17:23:25,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:25,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:25,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:25,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:25,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=13.08, mean=0.03919, std=3.407, absmax=13.08 +2025-10-31 17:23:25,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.651, max=11.48, mean=0.02322, std=2.777, absmax=11.48 +2025-10-31 17:23:26,327 ERROR: Encountered non-finite generator loss at iter 7698; skipping update. +2025-10-31 17:23:26,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,330 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:26,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:26,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.4, mean=0.04896, std=3.062, absmax=13.4 +2025-10-31 17:23:26,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=9.68, mean=0.04096, std=2.592, absmax=10.5 +2025-10-31 17:23:26,830 ERROR: Encountered non-finite generator loss at iter 7699; skipping update. +2025-10-31 17:23:26,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:26,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:26,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:26,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:26,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.53, mean=-0.2649, std=2.516, absmax=12.53 +2025-10-31 17:23:26,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.95, max=10.76, mean=-0.2557, std=2.124, absmax=10.76 +2025-10-31 17:23:27,334 ERROR: Encountered non-finite generator loss at iter 7700; skipping update. +2025-10-31 17:23:27,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:27,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:27,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=15.16, mean=0.1977, std=4.022, absmax=15.16 +2025-10-31 17:23:27,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=14.82, mean=0.1921, std=3.548, absmax=14.82 +2025-10-31 17:23:27,346 INFO: [29..][epoch: 0, step: 7,700, lr:(1.500e-04,)] [eta: 1 day, 17:39:32, time (data): 0.503 (0.000)] +2025-10-31 17:23:27,837 ERROR: Encountered non-finite generator loss at iter 7701; skipping update. +2025-10-31 17:23:27,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:27,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:27,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:27,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:27,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=15.54, mean=0.03857, std=3.48, absmax=15.54 +2025-10-31 17:23:27,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=14.86, mean=0.02584, std=3.092, absmax=14.86 +2025-10-31 17:23:28,341 ERROR: Encountered non-finite generator loss at iter 7702; skipping update. +2025-10-31 17:23:28,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:28,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:28,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.01, mean=-0.3098, std=2.914, absmax=11.58 +2025-10-31 17:23:28,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.602, max=10.03, mean=-0.2554, std=2.495, absmax=10.03 +2025-10-31 17:23:28,850 ERROR: Encountered non-finite generator loss at iter 7703; skipping update. +2025-10-31 17:23:28,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:28,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:28,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:28,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:28,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.17, mean=-0.0484, std=2.931, absmax=12.17 +2025-10-31 17:23:28,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=9.703, mean=-0.04075, std=2.551, absmax=9.777 +2025-10-31 17:23:29,350 ERROR: Encountered non-finite generator loss at iter 7704; skipping update. +2025-10-31 17:23:29,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,363 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:29,364 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:29,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=10.96, mean=-0.2206, std=3.039, absmax=11.85 +2025-10-31 17:23:29,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=7.642, mean=-0.2218, std=2.559, absmax=10.49 +2025-10-31 17:23:29,857 ERROR: Encountered non-finite generator loss at iter 7705; skipping update. +2025-10-31 17:23:29,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:29,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:29,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:29,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:29,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=16.53, mean=-0.01021, std=3.526, absmax=16.53 +2025-10-31 17:23:29,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.58, mean=-0.02297, std=2.962, absmax=11.74 +2025-10-31 17:23:30,360 ERROR: Encountered non-finite generator loss at iter 7706; skipping update. +2025-10-31 17:23:30,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:30,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:30,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13, mean=0.0736, std=3.283, absmax=13.77 +2025-10-31 17:23:30,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.391, max=10.26, mean=0.04061, std=2.637, absmax=10.26 +2025-10-31 17:23:30,861 ERROR: Encountered non-finite generator loss at iter 7707; skipping update. +2025-10-31 17:23:30,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:30,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:30,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:30,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:30,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.92, mean=-0.203, std=3.012, absmax=13.73 +2025-10-31 17:23:30,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.957, max=10.69, mean=-0.1761, std=2.438, absmax=10.69 +2025-10-31 17:23:31,365 ERROR: Encountered non-finite generator loss at iter 7708; skipping update. +2025-10-31 17:23:31,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:31,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:31,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.86, mean=-0.3977, std=3.271, absmax=13.53 +2025-10-31 17:23:31,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.562, mean=-0.3612, std=2.602, absmax=10.81 +2025-10-31 17:23:31,871 ERROR: Encountered non-finite generator loss at iter 7709; skipping update. +2025-10-31 17:23:31,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:31,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:31,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:31,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:31,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.27, mean=-0.2412, std=2.877, absmax=14.27 +2025-10-31 17:23:31,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=12.32, mean=-0.2283, std=2.502, absmax=12.32 +2025-10-31 17:23:32,379 ERROR: Encountered non-finite generator loss at iter 7710; skipping update. +2025-10-31 17:23:32,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,385 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,386 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:32,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:32,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.13, mean=-0.1945, std=3.046, absmax=14.13 +2025-10-31 17:23:32,389 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.12, mean=-0.1651, std=2.597, absmax=10.19 +2025-10-31 17:23:32,882 ERROR: Encountered non-finite generator loss at iter 7711; skipping update. +2025-10-31 17:23:32,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:32,889 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:32,890 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:32,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:32,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=15.08, mean=0.1024, std=3.406, absmax=15.08 +2025-10-31 17:23:32,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.888, max=12.96, mean=0.09488, std=2.997, absmax=12.96 +2025-10-31 17:23:33,386 ERROR: Encountered non-finite generator loss at iter 7712; skipping update. +2025-10-31 17:23:33,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:33,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:33,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=10.96, mean=-0.3112, std=3.168, absmax=13.94 +2025-10-31 17:23:33,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=9.8, mean=-0.3051, std=2.695, absmax=11.47 +2025-10-31 17:23:33,890 ERROR: Encountered non-finite generator loss at iter 7713; skipping update. +2025-10-31 17:23:33,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:33,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:33,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:33,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:33,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.26, mean=-0.2009, std=2.784, absmax=12.45 +2025-10-31 17:23:33,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.928, max=10.44, mean=-0.209, std=2.378, absmax=10.44 +2025-10-31 17:23:34,395 ERROR: Encountered non-finite generator loss at iter 7714; skipping update. +2025-10-31 17:23:34,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:34,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:34,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.59, mean=-0.1424, std=2.711, absmax=13.37 +2025-10-31 17:23:34,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.617, max=8.259, mean=-0.1205, std=2.264, absmax=8.617 +2025-10-31 17:23:34,901 ERROR: Encountered non-finite generator loss at iter 7715; skipping update. +2025-10-31 17:23:34,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,904 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:34,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:34,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:34,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:34,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.76, mean=-0.07453, std=2.599, absmax=12.76 +2025-10-31 17:23:34,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.032, max=9.238, mean=-0.1073, std=2.126, absmax=9.238 +2025-10-31 17:23:35,405 ERROR: Encountered non-finite generator loss at iter 7716; skipping update. +2025-10-31 17:23:35,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,409 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,410 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:35,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:35,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=17.15, mean=-0.383, std=3.108, absmax=17.15 +2025-10-31 17:23:35,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-15.04, max=8.443, mean=-0.3521, std=2.678, absmax=15.04 +2025-10-31 17:23:35,907 ERROR: Encountered non-finite generator loss at iter 7717; skipping update. +2025-10-31 17:23:35,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,910 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:35,913 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:35,914 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:35,915 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:35,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.31, mean=-0.1357, std=3.01, absmax=12.31 +2025-10-31 17:23:35,917 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=10.37, mean=-0.1607, std=2.586, absmax=11.72 +2025-10-31 17:23:36,410 ERROR: Encountered non-finite generator loss at iter 7718; skipping update. +2025-10-31 17:23:36,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,413 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:36,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:36,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.21, mean=-0.3926, std=3.306, absmax=13.29 +2025-10-31 17:23:36,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.65, max=8.701, mean=-0.3625, std=2.709, absmax=12.65 +2025-10-31 17:23:36,916 ERROR: Encountered non-finite generator loss at iter 7719; skipping update. +2025-10-31 17:23:36,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,919 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,921 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:36,922 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:36,923 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:36,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:36,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.18, mean=-0.2677, std=2.407, absmax=12.01 +2025-10-31 17:23:36,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.89, mean=-0.2432, std=2.239, absmax=10.89 +2025-10-31 17:23:37,420 ERROR: Encountered non-finite generator loss at iter 7720; skipping update. +2025-10-31 17:23:37,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,423 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:37,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:37,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.84, mean=-0.04665, std=3.277, absmax=12.84 +2025-10-31 17:23:37,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.183, max=9.193, mean=-0.1121, std=2.571, absmax=9.193 +2025-10-31 17:23:37,924 ERROR: Encountered non-finite generator loss at iter 7721; skipping update. +2025-10-31 17:23:37,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:37,928 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:37,929 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:37,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:37,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=10.17, mean=-0.3077, std=2.529, absmax=12.96 +2025-10-31 17:23:37,932 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=7.52, mean=-0.2756, std=2.142, absmax=10.02 +2025-10-31 17:23:38,425 ERROR: Encountered non-finite generator loss at iter 7722; skipping update. +2025-10-31 17:23:38,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:38,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:38,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.84, mean=-0.2023, std=2.893, absmax=14 +2025-10-31 17:23:38,436 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=8.535, mean=-0.149, std=2.326, absmax=11.78 +2025-10-31 17:23:38,931 ERROR: Encountered non-finite generator loss at iter 7723; skipping update. +2025-10-31 17:23:38,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,935 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:38,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:38,937 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:38,938 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:38,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.04, mean=-0.2089, std=2.779, absmax=13.04 +2025-10-31 17:23:38,940 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.381, max=9.403, mean=-0.2023, std=2.353, absmax=9.403 +2025-10-31 17:23:39,434 ERROR: Encountered non-finite generator loss at iter 7724; skipping update. +2025-10-31 17:23:39,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:39,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:39,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.28, mean=-0.1632, std=2.769, absmax=13.28 +2025-10-31 17:23:39,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=9.534, mean=-0.2056, std=2.304, absmax=9.601 +2025-10-31 17:23:39,938 ERROR: Encountered non-finite generator loss at iter 7725; skipping update. +2025-10-31 17:23:39,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:39,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:39,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:39,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:39,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.44, mean=-0.1906, std=2.734, absmax=12.84 +2025-10-31 17:23:39,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.49, mean=-0.2229, std=2.285, absmax=11.49 +2025-10-31 17:23:40,439 ERROR: Encountered non-finite generator loss at iter 7726; skipping update. +2025-10-31 17:23:40,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:40,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:40,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.84, mean=-0.436, std=2.983, absmax=12.48 +2025-10-31 17:23:40,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=7.74, mean=-0.3836, std=2.518, absmax=10.03 +2025-10-31 17:23:40,941 ERROR: Encountered non-finite generator loss at iter 7727; skipping update. +2025-10-31 17:23:40,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:40,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:40,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:40,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:40,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=16.63, mean=-0.1971, std=3.094, absmax=16.63 +2025-10-31 17:23:40,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=11.91, mean=-0.1855, std=2.705, absmax=11.91 +2025-10-31 17:23:41,445 ERROR: Encountered non-finite generator loss at iter 7728; skipping update. +2025-10-31 17:23:41,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:41,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:41,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=15.59, mean=-0.1757, std=3.725, absmax=15.59 +2025-10-31 17:23:41,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.07, max=11.95, mean=-0.1546, std=3.108, absmax=13.07 +2025-10-31 17:23:41,948 ERROR: Encountered non-finite generator loss at iter 7729; skipping update. +2025-10-31 17:23:41,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,949 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:41,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:41,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:41,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:41,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.4, mean=-0.1331, std=3.224, absmax=13.4 +2025-10-31 17:23:41,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.972, max=10.41, mean=-0.1579, std=2.602, absmax=10.41 +2025-10-31 17:23:42,450 ERROR: Encountered non-finite generator loss at iter 7730; skipping update. +2025-10-31 17:23:42,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:42,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:42,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=10.93, mean=-0.1973, std=2.973, absmax=14.78 +2025-10-31 17:23:42,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=12.26, mean=-0.2144, std=2.608, absmax=12.26 +2025-10-31 17:23:42,953 ERROR: Encountered non-finite generator loss at iter 7731; skipping update. +2025-10-31 17:23:42,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,957 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:42,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:42,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:42,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:42,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.96, mean=-0.269, std=3.305, absmax=13.96 +2025-10-31 17:23:42,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=12.09, mean=-0.2501, std=2.925, absmax=12.09 +2025-10-31 17:23:43,455 ERROR: Encountered non-finite generator loss at iter 7732; skipping update. +2025-10-31 17:23:43,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:43,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:43,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.3, mean=-0.2056, std=2.786, absmax=14.3 +2025-10-31 17:23:43,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=12.83, mean=-0.2024, std=2.346, absmax=12.83 +2025-10-31 17:23:43,956 ERROR: Encountered non-finite generator loss at iter 7733; skipping update. +2025-10-31 17:23:43,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:43,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:43,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:43,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:43,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.89, mean=-0.3613, std=3.127, absmax=13.89 +2025-10-31 17:23:43,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=11.17, mean=-0.302, std=2.625, absmax=11.24 +2025-10-31 17:23:44,457 ERROR: Encountered non-finite generator loss at iter 7734; skipping update. +2025-10-31 17:23:44,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:44,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:44,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=10.3, mean=-0.3952, std=2.994, absmax=13.27 +2025-10-31 17:23:44,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.011, mean=-0.3504, std=2.587, absmax=11.08 +2025-10-31 17:23:44,959 ERROR: Encountered non-finite generator loss at iter 7735; skipping update. +2025-10-31 17:23:44,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:44,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:44,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:44,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:44,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=12.98, mean=-0.1339, std=2.675, absmax=12.98 +2025-10-31 17:23:44,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=10.44, mean=-0.142, std=2.343, absmax=10.44 +2025-10-31 17:23:45,462 ERROR: Encountered non-finite generator loss at iter 7736; skipping update. +2025-10-31 17:23:45,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,468 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:45,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:45,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=10, mean=-0.3057, std=3.166, absmax=13.44 +2025-10-31 17:23:45,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=8.619, mean=-0.2819, std=2.739, absmax=11.62 +2025-10-31 17:23:45,965 ERROR: Encountered non-finite generator loss at iter 7737; skipping update. +2025-10-31 17:23:45,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:45,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:45,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:45,973 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:45,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=15.24, mean=-0.2082, std=3.054, absmax=15.24 +2025-10-31 17:23:45,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.74, mean=-0.1938, std=2.541, absmax=10.02 +2025-10-31 17:23:46,466 ERROR: Encountered non-finite generator loss at iter 7738; skipping update. +2025-10-31 17:23:46,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:46,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:46,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.41, mean=0.04206, std=3.607, absmax=13.41 +2025-10-31 17:23:46,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.938, max=11.64, mean=0.01315, std=2.971, absmax=11.64 +2025-10-31 17:23:46,967 ERROR: Encountered non-finite generator loss at iter 7739; skipping update. +2025-10-31 17:23:46,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,970 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,972 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:46,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:46,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:46,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:46,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=11.54, mean=-0.2493, std=2.657, absmax=11.54 +2025-10-31 17:23:46,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.936, max=9.502, mean=-0.1691, std=2.235, absmax=9.502 +2025-10-31 17:23:47,469 ERROR: Encountered non-finite generator loss at iter 7740; skipping update. +2025-10-31 17:23:47,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:47,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:47,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.49, mean=-0.184, std=3.346, absmax=14.49 +2025-10-31 17:23:47,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.902, mean=-0.2226, std=2.81, absmax=10.73 +2025-10-31 17:23:47,969 ERROR: Encountered non-finite generator loss at iter 7741; skipping update. +2025-10-31 17:23:47,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,972 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:47,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:47,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:47,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:47,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=11.83, mean=-0.1075, std=2.571, absmax=11.83 +2025-10-31 17:23:47,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.617, max=9.175, mean=-0.08465, std=2.142, absmax=9.175 +2025-10-31 17:23:48,471 ERROR: Encountered non-finite generator loss at iter 7742; skipping update. +2025-10-31 17:23:48,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,476 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,478 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:48,479 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:48,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.27, mean=-0.2283, std=2.641, absmax=14.27 +2025-10-31 17:23:48,481 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.841, max=9.738, mean=-0.2146, std=2.2, absmax=9.841 +2025-10-31 17:23:48,973 ERROR: Encountered non-finite generator loss at iter 7743; skipping update. +2025-10-31 17:23:48,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:48,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:48,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:48,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:48,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.15, mean=-0.2926, std=2.518, absmax=12.21 +2025-10-31 17:23:48,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.989, max=7.972, mean=-0.2683, std=2.221, absmax=8.989 +2025-10-31 17:23:49,475 ERROR: Encountered non-finite generator loss at iter 7744; skipping update. +2025-10-31 17:23:49,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:49,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:49,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=11.37, mean=-0.02403, std=2.456, absmax=11.37 +2025-10-31 17:23:49,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.067, max=8.579, mean=-0.01872, std=2.117, absmax=8.579 +2025-10-31 17:23:49,977 ERROR: Encountered non-finite generator loss at iter 7745; skipping update. +2025-10-31 17:23:49,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:49,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:49,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:49,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:49,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.67, mean=-0.1601, std=2.664, absmax=13.67 +2025-10-31 17:23:49,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=10.93, mean=-0.1888, std=2.548, absmax=12.02 +2025-10-31 17:23:50,478 ERROR: Encountered non-finite generator loss at iter 7746; skipping update. +2025-10-31 17:23:50,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:50,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:50,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.55, mean=-0.1132, std=3.175, absmax=12.55 +2025-10-31 17:23:50,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.776, mean=-0.1461, std=2.661, absmax=10.55 +2025-10-31 17:23:50,979 ERROR: Encountered non-finite generator loss at iter 7747; skipping update. +2025-10-31 17:23:50,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:50,985 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:50,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:50,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:50,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.35, mean=0.04566, std=3.635, absmax=14.35 +2025-10-31 17:23:50,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.77, mean=-0.007265, std=2.957, absmax=11.77 +2025-10-31 17:23:51,481 ERROR: Encountered non-finite generator loss at iter 7748; skipping update. +2025-10-31 17:23:51,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:51,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:51,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.2, mean=-0.2669, std=2.667, absmax=14.2 +2025-10-31 17:23:51,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=8.609, mean=-0.2817, std=2.27, absmax=9.903 +2025-10-31 17:23:51,985 ERROR: Encountered non-finite generator loss at iter 7749; skipping update. +2025-10-31 17:23:51,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:51,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:51,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:51,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:51,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=14.18, mean=-0.1129, std=2.777, absmax=14.18 +2025-10-31 17:23:51,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.295, max=9.291, mean=-0.1723, std=2.427, absmax=9.295 +2025-10-31 17:23:52,488 ERROR: Encountered non-finite generator loss at iter 7750; skipping update. +2025-10-31 17:23:52,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:52,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:52,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=11.58, mean=-0.1981, std=2.841, absmax=14.06 +2025-10-31 17:23:52,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.642, max=10.5, mean=-0.1471, std=2.275, absmax=10.5 +2025-10-31 17:23:52,993 ERROR: Encountered non-finite generator loss at iter 7751; skipping update. +2025-10-31 17:23:52,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:52,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:52,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:53,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:53,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.48, mean=-0.08, std=2.912, absmax=11.74 +2025-10-31 17:23:53,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.117, mean=-0.0991, std=2.424, absmax=10.9 +2025-10-31 17:23:53,495 ERROR: Encountered non-finite generator loss at iter 7752; skipping update. +2025-10-31 17:23:53,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:53,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:53,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:53,499 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:53,500 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:53,501 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:53,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:53,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:53,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=13.51, mean=-0.3013, std=3.071, absmax=13.51 +2025-10-31 17:23:53,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.766, max=10.49, mean=-0.3039, std=2.501, absmax=10.49 +2025-10-31 17:23:53,999 ERROR: Encountered non-finite generator loss at iter 7753; skipping update. +2025-10-31 17:23:54,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:54,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:54,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=10.96, mean=-0.03944, std=2.967, absmax=13.46 +2025-10-31 17:23:54,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=8.965, mean=-0.07873, std=2.492, absmax=10.29 +2025-10-31 17:23:54,501 ERROR: Encountered non-finite generator loss at iter 7754; skipping update. +2025-10-31 17:23:54,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:54,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:54,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:54,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:54,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.09, mean=-0.2767, std=2.957, absmax=12.84 +2025-10-31 17:23:54,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=7.78, mean=-0.2422, std=2.464, absmax=10.59 +2025-10-31 17:23:55,005 ERROR: Encountered non-finite generator loss at iter 7755; skipping update. +2025-10-31 17:23:55,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,007 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:55,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:55,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.17, mean=-0.1401, std=3.029, absmax=13.84 +2025-10-31 17:23:55,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=9.816, mean=-0.1851, std=2.631, absmax=9.816 +2025-10-31 17:23:55,505 ERROR: Encountered non-finite generator loss at iter 7756; skipping update. +2025-10-31 17:23:55,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:55,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:55,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:55,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:55,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.73, mean=-0.1351, std=2.776, absmax=13.17 +2025-10-31 17:23:55,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.916, max=9.57, mean=-0.1453, std=2.329, absmax=9.916 +2025-10-31 17:23:56,007 ERROR: Encountered non-finite generator loss at iter 7757; skipping update. +2025-10-31 17:23:56,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:56,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:56,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.37, mean=-0.004391, std=2.854, absmax=12.87 +2025-10-31 17:23:56,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.925, max=10.51, mean=0.008451, std=2.417, absmax=10.51 +2025-10-31 17:23:56,509 ERROR: Encountered non-finite generator loss at iter 7758; skipping update. +2025-10-31 17:23:56,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:56,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:56,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:56,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:56,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=11.49, mean=-0.07658, std=3.117, absmax=15.51 +2025-10-31 17:23:56,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.275, mean=-0.08036, std=2.61, absmax=10.91 +2025-10-31 17:23:57,012 ERROR: Encountered non-finite generator loss at iter 7759; skipping update. +2025-10-31 17:23:57,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:57,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:57,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.29, mean=-0.2495, std=2.944, absmax=13.29 +2025-10-31 17:23:57,021 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=9.272, mean=-0.2263, std=2.449, absmax=9.937 +2025-10-31 17:23:57,517 ERROR: Encountered non-finite generator loss at iter 7760; skipping update. +2025-10-31 17:23:57,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:57,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:57,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:57,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:57,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.01, mean=-0.00978, std=2.88, absmax=14.01 +2025-10-31 17:23:57,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=10.52, mean=0.01008, std=2.342, absmax=10.52 +2025-10-31 17:23:58,017 ERROR: Encountered non-finite generator loss at iter 7761; skipping update. +2025-10-31 17:23:58,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:58,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:58,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.57, mean=-0.04526, std=3.045, absmax=15.57 +2025-10-31 17:23:58,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.342, max=11.08, mean=-0.0461, std=2.426, absmax=11.08 +2025-10-31 17:23:58,521 ERROR: Encountered non-finite generator loss at iter 7762; skipping update. +2025-10-31 17:23:58,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:58,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:58,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:58,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:58,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.79, mean=0.05247, std=3.258, absmax=13.04 +2025-10-31 17:23:58,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=11.28, mean=0.0834, std=2.826, absmax=11.28 +2025-10-31 17:23:59,026 ERROR: Encountered non-finite generator loss at iter 7763; skipping update. +2025-10-31 17:23:59,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:59,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:59,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.86, max=12.33, mean=-0.2143, std=2.96, absmax=15.86 +2025-10-31 17:23:59,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.02, max=9.021, mean=-0.2985, std=2.461, absmax=13.02 +2025-10-31 17:23:59,530 ERROR: Encountered non-finite generator loss at iter 7764; skipping update. +2025-10-31 17:23:59,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:23:59,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:23:59,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:23:59,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:23:59,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.16, mean=-0.2406, std=2.586, absmax=13.97 +2025-10-31 17:23:59,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.677, max=10.8, mean=-0.2383, std=2.129, absmax=10.8 +2025-10-31 17:24:00,032 ERROR: Encountered non-finite generator loss at iter 7765; skipping update. +2025-10-31 17:24:00,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:00,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:00,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.05, mean=-0.2062, std=2.774, absmax=14.26 +2025-10-31 17:24:00,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.775, mean=-0.1926, std=2.291, absmax=10.78 +2025-10-31 17:24:00,536 ERROR: Encountered non-finite generator loss at iter 7766; skipping update. +2025-10-31 17:24:00,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,539 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,539 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,540 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:00,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:00,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:00,543 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:00,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.33, mean=-0.03279, std=3.201, absmax=13.33 +2025-10-31 17:24:00,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.45, mean=-0.08874, std=2.755, absmax=11.45 +2025-10-31 17:24:01,036 ERROR: Encountered non-finite generator loss at iter 7767; skipping update. +2025-10-31 17:24:01,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:01,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:01,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.45, mean=-0.1848, std=3.068, absmax=13.32 +2025-10-31 17:24:01,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=8.447, mean=-0.1324, std=2.479, absmax=9.974 +2025-10-31 17:24:01,540 ERROR: Encountered non-finite generator loss at iter 7768; skipping update. +2025-10-31 17:24:01,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:01,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:01,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:01,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:01,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=14.05, mean=-0.0797, std=3.56, absmax=14.45 +2025-10-31 17:24:01,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=11.49, mean=-0.0836, std=3.012, absmax=12.9 +2025-10-31 17:24:02,042 ERROR: Encountered non-finite generator loss at iter 7769; skipping update. +2025-10-31 17:24:02,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:02,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:02,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.65, mean=-0.3486, std=3.125, absmax=13.65 +2025-10-31 17:24:02,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.787, mean=-0.2966, std=2.561, absmax=11.59 +2025-10-31 17:24:02,546 ERROR: Encountered non-finite generator loss at iter 7770; skipping update. +2025-10-31 17:24:02,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:02,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:02,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:02,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:02,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.39, mean=-0.2513, std=2.924, absmax=12.39 +2025-10-31 17:24:02,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.975, max=9.295, mean=-0.217, std=2.523, absmax=9.975 +2025-10-31 17:24:03,047 ERROR: Encountered non-finite generator loss at iter 7771; skipping update. +2025-10-31 17:24:03,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:03,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:03,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.93, mean=-0.1453, std=2.832, absmax=12.93 +2025-10-31 17:24:03,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=9.778, mean=-0.1397, std=2.183, absmax=11.35 +2025-10-31 17:24:03,550 ERROR: Encountered non-finite generator loss at iter 7772; skipping update. +2025-10-31 17:24:03,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,553 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:03,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:03,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:03,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:03,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.53, mean=-0.3074, std=3.05, absmax=12.81 +2025-10-31 17:24:03,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.941, max=8.506, mean=-0.2633, std=2.519, absmax=9.941 +2025-10-31 17:24:04,053 ERROR: Encountered non-finite generator loss at iter 7773; skipping update. +2025-10-31 17:24:04,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:04,060 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:04,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.75, mean=-0.1903, std=2.768, absmax=13.89 +2025-10-31 17:24:04,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.041, max=10.68, mean=-0.1894, std=2.328, absmax=10.68 +2025-10-31 17:24:04,554 ERROR: Encountered non-finite generator loss at iter 7774; skipping update. +2025-10-31 17:24:04,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:04,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:04,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:04,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:04,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.44, mean=-0.2391, std=3.086, absmax=13.56 +2025-10-31 17:24:04,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=8.247, mean=-0.2492, std=2.556, absmax=10.66 +2025-10-31 17:24:05,058 ERROR: Encountered non-finite generator loss at iter 7775; skipping update. +2025-10-31 17:24:05,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,061 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:05,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:05,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.91, max=14.36, mean=-0.1874, std=3.346, absmax=16.91 +2025-10-31 17:24:05,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=11.23, mean=-0.2231, std=2.947, absmax=11.23 +2025-10-31 17:24:05,562 ERROR: Encountered non-finite generator loss at iter 7776; skipping update. +2025-10-31 17:24:05,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:05,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:05,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:05,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:05,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.27, mean=-0.1029, std=2.909, absmax=12.27 +2025-10-31 17:24:05,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.563, max=12.46, mean=-0.09282, std=2.591, absmax=12.46 +2025-10-31 17:24:06,067 ERROR: Encountered non-finite generator loss at iter 7777; skipping update. +2025-10-31 17:24:06,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:06,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:06,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=10.48, mean=-0.2508, std=2.963, absmax=14.5 +2025-10-31 17:24:06,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.015, mean=-0.2535, std=2.644, absmax=11.25 +2025-10-31 17:24:06,572 ERROR: Encountered non-finite generator loss at iter 7778; skipping update. +2025-10-31 17:24:06,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,575 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:06,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:06,578 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:06,579 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:06,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.43, mean=0.03413, std=3.417, absmax=12.43 +2025-10-31 17:24:06,581 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.713, max=11.42, mean=0.0295, std=2.738, absmax=11.42 +2025-10-31 17:24:07,075 ERROR: Encountered non-finite generator loss at iter 7779; skipping update. +2025-10-31 17:24:07,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:07,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:07,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.28, mean=-0.1285, std=2.844, absmax=13.28 +2025-10-31 17:24:07,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.858, max=11.43, mean=-0.1014, std=2.453, absmax=11.43 +2025-10-31 17:24:07,579 ERROR: Encountered non-finite generator loss at iter 7780; skipping update. +2025-10-31 17:24:07,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:07,585 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:07,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:07,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:07,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.08, mean=-0.0198, std=3.324, absmax=14.08 +2025-10-31 17:24:07,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.323, max=11.72, mean=-0.07505, std=2.763, absmax=11.72 +2025-10-31 17:24:08,082 ERROR: Encountered non-finite generator loss at iter 7781; skipping update. +2025-10-31 17:24:08,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:08,090 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:08,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=12.74, mean=-0.1263, std=3.112, absmax=12.74 +2025-10-31 17:24:08,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.707, mean=-0.1958, std=2.644, absmax=10.58 +2025-10-31 17:24:08,586 ERROR: Encountered non-finite generator loss at iter 7782; skipping update. +2025-10-31 17:24:08,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:08,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:08,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:08,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:08,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.19, mean=-0.1557, std=3.226, absmax=14.19 +2025-10-31 17:24:08,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=11.79, mean=-0.1792, std=2.701, absmax=11.79 +2025-10-31 17:24:09,091 ERROR: Encountered non-finite generator loss at iter 7783; skipping update. +2025-10-31 17:24:09,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:09,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:09,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.72, mean=-0.1225, std=2.856, absmax=12.93 +2025-10-31 17:24:09,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.41, mean=-0.07994, std=2.547, absmax=11.41 +2025-10-31 17:24:09,598 ERROR: Encountered non-finite generator loss at iter 7784; skipping update. +2025-10-31 17:24:09,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:09,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:09,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:09,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:09,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=14.36, mean=-0.1128, std=2.955, absmax=14.36 +2025-10-31 17:24:09,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=10.34, mean=-0.1679, std=2.336, absmax=10.43 +2025-10-31 17:24:10,104 ERROR: Encountered non-finite generator loss at iter 7785; skipping update. +2025-10-31 17:24:10,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:10,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:10,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=15.16, mean=-0.2251, std=2.85, absmax=15.16 +2025-10-31 17:24:10,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.15, mean=-0.2274, std=2.443, absmax=10.23 +2025-10-31 17:24:10,609 ERROR: Encountered non-finite generator loss at iter 7786; skipping update. +2025-10-31 17:24:10,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:10,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:10,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:10,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:10,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.44, mean=-0.005791, std=3.37, absmax=14.44 +2025-10-31 17:24:10,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=13.12, mean=0.02748, std=3.112, absmax=13.12 +2025-10-31 17:24:11,115 ERROR: Encountered non-finite generator loss at iter 7787; skipping update. +2025-10-31 17:24:11,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:11,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:11,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.5, mean=-0.1916, std=3.096, absmax=14.5 +2025-10-31 17:24:11,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.6, mean=-0.1884, std=2.585, absmax=10.63 +2025-10-31 17:24:11,620 ERROR: Encountered non-finite generator loss at iter 7788; skipping update. +2025-10-31 17:24:11,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,623 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:11,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:11,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:11,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:11,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.62, mean=-0.09369, std=2.531, absmax=12.62 +2025-10-31 17:24:11,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=9.671, mean=-0.1249, std=2.045, absmax=9.671 +2025-10-31 17:24:12,124 ERROR: Encountered non-finite generator loss at iter 7789; skipping update. +2025-10-31 17:24:12,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:12,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:12,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.1, mean=-0.3274, std=2.711, absmax=15.1 +2025-10-31 17:24:12,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=8.231, mean=-0.286, std=2.329, absmax=10.09 +2025-10-31 17:24:12,627 ERROR: Encountered non-finite generator loss at iter 7790; skipping update. +2025-10-31 17:24:12,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,630 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:12,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:12,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:12,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:12,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.19, mean=-0.2123, std=2.528, absmax=14.19 +2025-10-31 17:24:12,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=7.678, mean=-0.2233, std=2.045, absmax=10.74 +2025-10-31 17:24:13,132 ERROR: Encountered non-finite generator loss at iter 7791; skipping update. +2025-10-31 17:24:13,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:13,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:13,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.24, mean=-0.1493, std=2.715, absmax=13.24 +2025-10-31 17:24:13,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.674, mean=-0.1522, std=2.265, absmax=10.02 +2025-10-31 17:24:13,633 ERROR: Encountered non-finite generator loss at iter 7792; skipping update. +2025-10-31 17:24:13,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:13,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:13,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:13,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:13,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=16.91, mean=-0.1763, std=3.348, absmax=16.91 +2025-10-31 17:24:13,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.64, max=13.88, mean=-0.1735, std=3.028, absmax=13.88 +2025-10-31 17:24:14,135 ERROR: Encountered non-finite generator loss at iter 7793; skipping update. +2025-10-31 17:24:14,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:14,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:14,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.93, mean=-0.3015, std=2.94, absmax=13.4 +2025-10-31 17:24:14,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.838, mean=-0.2885, std=2.463, absmax=11.28 +2025-10-31 17:24:14,639 ERROR: Encountered non-finite generator loss at iter 7794; skipping update. +2025-10-31 17:24:14,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:14,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:14,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:14,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:14,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.03, mean=0.0559, std=3.366, absmax=14.03 +2025-10-31 17:24:14,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.13, mean=0.03442, std=2.861, absmax=12.13 +2025-10-31 17:24:15,143 ERROR: Encountered non-finite generator loss at iter 7795; skipping update. +2025-10-31 17:24:15,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:15,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:15,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.16, mean=-0.1863, std=3.217, absmax=14.5 +2025-10-31 17:24:15,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=12.27, mean=-0.1364, std=2.807, absmax=12.27 +2025-10-31 17:24:15,646 ERROR: Encountered non-finite generator loss at iter 7796; skipping update. +2025-10-31 17:24:15,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,649 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:15,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:15,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:15,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:15,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=15.36, mean=-0.2553, std=3.087, absmax=15.36 +2025-10-31 17:24:15,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.63, mean=-0.2345, std=2.565, absmax=11.53 +2025-10-31 17:24:16,149 ERROR: Encountered non-finite generator loss at iter 7797; skipping update. +2025-10-31 17:24:16,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:16,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:16,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.58, mean=-0.1764, std=3.078, absmax=12.96 +2025-10-31 17:24:16,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.449, max=10.04, mean=-0.1307, std=2.407, absmax=10.04 +2025-10-31 17:24:16,654 ERROR: Encountered non-finite generator loss at iter 7798; skipping update. +2025-10-31 17:24:16,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,657 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,658 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,659 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:16,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:16,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:16,662 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:16,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=13.11, mean=-0.1498, std=3.023, absmax=15.23 +2025-10-31 17:24:16,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=11.59, mean=-0.1714, std=2.507, absmax=11.75 +2025-10-31 17:24:17,158 ERROR: Encountered non-finite generator loss at iter 7799; skipping update. +2025-10-31 17:24:17,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,161 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:17,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:17,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=15.37, mean=-0.1537, std=2.812, absmax=15.37 +2025-10-31 17:24:17,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.34, max=9.39, mean=-0.1492, std=2.284, absmax=9.39 +2025-10-31 17:24:17,663 ERROR: Encountered non-finite generator loss at iter 7800; skipping update. +2025-10-31 17:24:17,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:17,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:17,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:17,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:17,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.66, mean=-0.1232, std=2.732, absmax=14.66 +2025-10-31 17:24:17,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.501, max=11.67, mean=-0.1794, std=2.319, absmax=11.67 +2025-10-31 17:24:17,675 INFO: [29..][epoch: 0, step: 7,800, lr:(1.500e-04,)] [eta: 1 day, 17:32:31, time (data): 0.503 (0.000)] +2025-10-31 17:24:18,169 ERROR: Encountered non-finite generator loss at iter 7801; skipping update. +2025-10-31 17:24:18,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:18,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:18,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=10.3, mean=-0.2688, std=2.642, absmax=11.65 +2025-10-31 17:24:18,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.306, max=8.71, mean=-0.1937, std=2.266, absmax=9.306 +2025-10-31 17:24:18,672 ERROR: Encountered non-finite generator loss at iter 7802; skipping update. +2025-10-31 17:24:18,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:18,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:18,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:18,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:18,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=9.775, mean=-0.3141, std=2.687, absmax=11.96 +2025-10-31 17:24:18,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.655, max=8.354, mean=-0.2886, std=2.399, absmax=9.655 +2025-10-31 17:24:19,176 ERROR: Encountered non-finite generator loss at iter 7803; skipping update. +2025-10-31 17:24:19,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,182 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:19,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:19,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.22, mean=-0.2301, std=2.267, absmax=12.97 +2025-10-31 17:24:19,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.044, max=8.026, mean=-0.2072, std=2.008, absmax=9.044 +2025-10-31 17:24:19,677 ERROR: Encountered non-finite generator loss at iter 7804; skipping update. +2025-10-31 17:24:19,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:19,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:19,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:19,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:19,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.59, mean=-0.1311, std=2.73, absmax=12.76 +2025-10-31 17:24:19,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=8.863, mean=-0.1357, std=2.323, absmax=10.93 +2025-10-31 17:24:20,180 ERROR: Encountered non-finite generator loss at iter 7805; skipping update. +2025-10-31 17:24:20,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:20,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:20,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.23, mean=-0.1511, std=3.47, absmax=13.45 +2025-10-31 17:24:20,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.634, max=9.09, mean=-0.1272, std=2.734, absmax=9.634 +2025-10-31 17:24:20,682 ERROR: Encountered non-finite generator loss at iter 7806; skipping update. +2025-10-31 17:24:20,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,685 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:20,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:20,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:20,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:20,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=14.84, mean=-0.05015, std=2.973, absmax=14.84 +2025-10-31 17:24:20,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.307, max=11.74, mean=-0.07553, std=2.422, absmax=11.74 +2025-10-31 17:24:21,188 ERROR: Encountered non-finite generator loss at iter 7807; skipping update. +2025-10-31 17:24:21,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,194 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,195 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:21,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:21,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.89, mean=-0.3096, std=2.566, absmax=12.18 +2025-10-31 17:24:21,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.949, max=9.135, mean=-0.2687, std=2.278, absmax=9.135 +2025-10-31 17:24:21,693 ERROR: Encountered non-finite generator loss at iter 7808; skipping update. +2025-10-31 17:24:21,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:21,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:21,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:21,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:21,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.47, mean=-0.3079, std=3.146, absmax=13.47 +2025-10-31 17:24:21,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.34, mean=-0.2575, std=2.466, absmax=10.34 +2025-10-31 17:24:22,197 ERROR: Encountered non-finite generator loss at iter 7809; skipping update. +2025-10-31 17:24:22,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:22,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:22,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=9.802, mean=-0.2441, std=2.683, absmax=11.6 +2025-10-31 17:24:22,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.585, max=7.094, mean=-0.2687, std=2.187, absmax=9.585 +2025-10-31 17:24:22,700 ERROR: Encountered non-finite generator loss at iter 7810; skipping update. +2025-10-31 17:24:22,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:22,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:22,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:22,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:22,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.17, mean=-0.1639, std=2.934, absmax=14.45 +2025-10-31 17:24:22,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.638, max=9.359, mean=-0.1485, std=2.419, absmax=9.638 +2025-10-31 17:24:23,205 ERROR: Encountered non-finite generator loss at iter 7811; skipping update. +2025-10-31 17:24:23,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:23,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:23,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=14.42, mean=-0.0816, std=3.456, absmax=15.4 +2025-10-31 17:24:23,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=12.07, mean=-0.08804, std=2.869, absmax=12.07 +2025-10-31 17:24:23,710 ERROR: Encountered non-finite generator loss at iter 7812; skipping update. +2025-10-31 17:24:23,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:23,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:23,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:23,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:23,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.06, mean=-0.2889, std=2.635, absmax=13.1 +2025-10-31 17:24:23,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.507, max=8.576, mean=-0.2672, std=2.236, absmax=9.507 +2025-10-31 17:24:24,213 ERROR: Encountered non-finite generator loss at iter 7813; skipping update. +2025-10-31 17:24:24,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:24,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:24,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.41, mean=-0.0474, std=3.034, absmax=13.41 +2025-10-31 17:24:24,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.899, max=10.86, mean=-0.04786, std=2.619, absmax=10.86 +2025-10-31 17:24:24,718 ERROR: Encountered non-finite generator loss at iter 7814; skipping update. +2025-10-31 17:24:24,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:24,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:24,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:24,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:24,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.61, mean=0.01494, std=3.49, absmax=13.61 +2025-10-31 17:24:24,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=12.56, mean=-0.01422, std=3.024, absmax=12.56 +2025-10-31 17:24:25,222 ERROR: Encountered non-finite generator loss at iter 7815; skipping update. +2025-10-31 17:24:25,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:25,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:25,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=15.16, mean=0.1356, std=3.72, absmax=15.16 +2025-10-31 17:24:25,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.341, max=14.82, mean=0.1602, std=3.41, absmax=14.82 +2025-10-31 17:24:25,727 ERROR: Encountered non-finite generator loss at iter 7816; skipping update. +2025-10-31 17:24:25,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:25,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:25,734 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:25,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:25,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=10.49, mean=-0.3426, std=3.089, absmax=12.66 +2025-10-31 17:24:25,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=7.838, mean=-0.3105, std=2.585, absmax=11.46 +2025-10-31 17:24:26,232 ERROR: Encountered non-finite generator loss at iter 7817; skipping update. +2025-10-31 17:24:26,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,235 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:26,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:26,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.5, mean=-0.1505, std=2.775, absmax=14.5 +2025-10-31 17:24:26,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.14, max=12.33, mean=-0.1976, std=2.382, absmax=12.33 +2025-10-31 17:24:26,737 ERROR: Encountered non-finite generator loss at iter 7818; skipping update. +2025-10-31 17:24:26,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:26,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:26,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:26,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:26,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.46, mean=-0.1981, std=3.269, absmax=14.63 +2025-10-31 17:24:26,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.07, mean=-0.2139, std=2.606, absmax=11.13 +2025-10-31 17:24:27,243 ERROR: Encountered non-finite generator loss at iter 7819; skipping update. +2025-10-31 17:24:27,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:27,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:27,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=9.887, mean=-0.1964, std=2.554, absmax=12.48 +2025-10-31 17:24:27,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.945, max=8.384, mean=-0.1888, std=2.255, absmax=8.945 +2025-10-31 17:24:27,749 ERROR: Encountered non-finite generator loss at iter 7820; skipping update. +2025-10-31 17:24:27,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,753 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,754 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:27,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:27,757 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:27,758 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:27,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=14.23, mean=0.07573, std=3.011, absmax=14.23 +2025-10-31 17:24:27,760 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.217, max=9.685, mean=0.02171, std=2.483, absmax=9.685 +2025-10-31 17:24:28,254 ERROR: Encountered non-finite generator loss at iter 7821; skipping update. +2025-10-31 17:24:28,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:28,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:28,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.18, mean=0.108, std=3.143, absmax=12.18 +2025-10-31 17:24:28,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.342, max=9.597, mean=0.09691, std=2.683, absmax=9.597 +2025-10-31 17:24:28,758 ERROR: Encountered non-finite generator loss at iter 7822; skipping update. +2025-10-31 17:24:28,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:28,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:28,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:28,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:28,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=15.82, mean=-0.3202, std=3.35, absmax=15.82 +2025-10-31 17:24:28,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=9.689, mean=-0.2979, std=2.818, absmax=11.79 +2025-10-31 17:24:29,262 ERROR: Encountered non-finite generator loss at iter 7823; skipping update. +2025-10-31 17:24:29,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:29,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:29,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.7, mean=-0.3654, std=2.661, absmax=12.94 +2025-10-31 17:24:29,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=7.502, mean=-0.3511, std=2.263, absmax=10.26 +2025-10-31 17:24:29,768 ERROR: Encountered non-finite generator loss at iter 7824; skipping update. +2025-10-31 17:24:29,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,773 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:29,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:29,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:29,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:29,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=15.15, mean=0.02253, std=2.965, absmax=15.15 +2025-10-31 17:24:29,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.263, max=11.39, mean=-0.01532, std=2.518, absmax=11.39 +2025-10-31 17:24:30,273 ERROR: Encountered non-finite generator loss at iter 7825; skipping update. +2025-10-31 17:24:30,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:30,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:30,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.15, mean=-0.07326, std=3.191, absmax=12.15 +2025-10-31 17:24:30,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=11.59, mean=-0.03872, std=2.907, absmax=11.59 +2025-10-31 17:24:30,779 ERROR: Encountered non-finite generator loss at iter 7826; skipping update. +2025-10-31 17:24:30,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,783 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,784 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:30,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:30,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:30,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:30,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=11.54, mean=-0.2126, std=3.475, absmax=15.05 +2025-10-31 17:24:30,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.88, max=9.113, mean=-0.1871, std=2.963, absmax=12.88 +2025-10-31 17:24:31,286 ERROR: Encountered non-finite generator loss at iter 7827; skipping update. +2025-10-31 17:24:31,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,288 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:31,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:31,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.44, mean=-0.2733, std=3.356, absmax=13.9 +2025-10-31 17:24:31,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.06, mean=-0.2815, std=2.736, absmax=11.06 +2025-10-31 17:24:31,791 ERROR: Encountered non-finite generator loss at iter 7828; skipping update. +2025-10-31 17:24:31,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:31,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:31,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:31,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:31,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13, mean=-0.03424, std=3.064, absmax=14.2 +2025-10-31 17:24:31,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.183, mean=-0.02967, std=2.597, absmax=10.75 +2025-10-31 17:24:32,296 ERROR: Encountered non-finite generator loss at iter 7829; skipping update. +2025-10-31 17:24:32,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,298 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,299 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,299 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,299 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,300 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,301 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:32,302 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:32,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.63, mean=0.06569, std=3.1, absmax=13.7 +2025-10-31 17:24:32,304 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=9.917, mean=-0.03837, std=2.626, absmax=10.92 +2025-10-31 17:24:32,798 ERROR: Encountered non-finite generator loss at iter 7830; skipping update. +2025-10-31 17:24:32,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:32,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:32,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:32,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:32,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.45, mean=-0.0654, std=2.836, absmax=12.82 +2025-10-31 17:24:32,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.621, max=10.49, mean=-0.05533, std=2.32, absmax=10.49 +2025-10-31 17:24:33,304 ERROR: Encountered non-finite generator loss at iter 7831; skipping update. +2025-10-31 17:24:33,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:33,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:33,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.23, mean=-0.3515, std=2.944, absmax=12.73 +2025-10-31 17:24:33,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=8.487, mean=-0.3125, std=2.555, absmax=11.56 +2025-10-31 17:24:33,810 ERROR: Encountered non-finite generator loss at iter 7832; skipping update. +2025-10-31 17:24:33,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,813 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,815 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:33,816 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:33,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:33,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:33,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.91, mean=-0.103, std=2.85, absmax=12.4 +2025-10-31 17:24:33,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.583, mean=-0.06666, std=2.514, absmax=11.17 +2025-10-31 17:24:34,316 ERROR: Encountered non-finite generator loss at iter 7833; skipping update. +2025-10-31 17:24:34,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:34,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:34,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=10.73, mean=-0.3917, std=3.009, absmax=12.12 +2025-10-31 17:24:34,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=8.244, mean=-0.4045, std=2.648, absmax=11.72 +2025-10-31 17:24:34,819 ERROR: Encountered non-finite generator loss at iter 7834; skipping update. +2025-10-31 17:24:34,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,820 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:34,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:34,825 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:34,826 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:34,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=13.36, mean=0.1022, std=3.046, absmax=13.36 +2025-10-31 17:24:34,828 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.076, max=12.03, mean=0.0724, std=2.631, absmax=12.03 +2025-10-31 17:24:35,322 ERROR: Encountered non-finite generator loss at iter 7835; skipping update. +2025-10-31 17:24:35,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,326 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:35,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:35,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.43, mean=-0.1391, std=2.983, absmax=13.16 +2025-10-31 17:24:35,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.394, max=8.942, mean=-0.1176, std=2.37, absmax=9.394 +2025-10-31 17:24:35,829 ERROR: Encountered non-finite generator loss at iter 7836; skipping update. +2025-10-31 17:24:35,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,833 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:35,834 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:35,835 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:35,836 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:35,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=15.07, mean=-0.1429, std=2.9, absmax=15.07 +2025-10-31 17:24:35,838 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.9, mean=-0.1329, std=2.449, absmax=12.1 +2025-10-31 17:24:36,333 ERROR: Encountered non-finite generator loss at iter 7837; skipping update. +2025-10-31 17:24:36,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,335 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,336 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,337 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:36,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:36,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.35, max=14.73, mean=-0.1424, std=3.18, absmax=17.35 +2025-10-31 17:24:36,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=12.08, mean=-0.1197, std=2.607, absmax=12.08 +2025-10-31 17:24:36,838 ERROR: Encountered non-finite generator loss at iter 7838; skipping update. +2025-10-31 17:24:36,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,841 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,842 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:36,843 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:36,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:36,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:36,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.39, mean=-0.1321, std=2.61, absmax=12.34 +2025-10-31 17:24:36,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.655, max=8.431, mean=-0.135, std=2.259, absmax=8.655 +2025-10-31 17:24:37,342 ERROR: Encountered non-finite generator loss at iter 7839; skipping update. +2025-10-31 17:24:37,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,345 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:37,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:37,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.53, mean=-0.1876, std=2.682, absmax=12.71 +2025-10-31 17:24:37,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.974, max=9.53, mean=-0.1745, std=2.135, absmax=9.53 +2025-10-31 17:24:37,848 ERROR: Encountered non-finite generator loss at iter 7840; skipping update. +2025-10-31 17:24:37,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:37,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:37,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:37,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:37,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=10.48, mean=-0.2595, std=2.676, absmax=12.97 +2025-10-31 17:24:37,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=7.674, mean=-0.2697, std=2.267, absmax=10.98 +2025-10-31 17:24:38,354 ERROR: Encountered non-finite generator loss at iter 7841; skipping update. +2025-10-31 17:24:38,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:38,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:38,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.76, mean=-0.1683, std=2.951, absmax=13.01 +2025-10-31 17:24:38,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=9.63, mean=-0.1639, std=2.451, absmax=9.876 +2025-10-31 17:24:38,858 ERROR: Encountered non-finite generator loss at iter 7842; skipping update. +2025-10-31 17:24:38,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,861 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:38,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:38,865 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:38,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:38,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.55, mean=-0.1602, std=2.857, absmax=12.55 +2025-10-31 17:24:38,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.472, max=9.294, mean=-0.1784, std=2.382, absmax=9.472 +2025-10-31 17:24:39,364 ERROR: Encountered non-finite generator loss at iter 7843; skipping update. +2025-10-31 17:24:39,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,371 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:39,371 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:39,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.93, mean=-0.1389, std=2.924, absmax=13.93 +2025-10-31 17:24:39,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.943, max=8.445, mean=-0.2107, std=2.425, absmax=9.943 +2025-10-31 17:24:39,869 ERROR: Encountered non-finite generator loss at iter 7844; skipping update. +2025-10-31 17:24:39,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,871 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:39,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:39,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:39,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:39,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.86, mean=-0.394, std=3.525, absmax=13.91 +2025-10-31 17:24:39,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=9.905, mean=-0.3939, std=2.955, absmax=12.47 +2025-10-31 17:24:40,374 ERROR: Encountered non-finite generator loss at iter 7845; skipping update. +2025-10-31 17:24:40,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:40,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:40,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.69, mean=0.0469, std=3.187, absmax=13.69 +2025-10-31 17:24:40,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=11.28, mean=-0.01845, std=2.627, absmax=11.28 +2025-10-31 17:24:40,878 ERROR: Encountered non-finite generator loss at iter 7846; skipping update. +2025-10-31 17:24:40,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:40,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:40,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:40,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:40,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.86, mean=-0.07276, std=2.808, absmax=12.86 +2025-10-31 17:24:40,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.162, max=9.59, mean=-0.05207, std=2.363, absmax=9.59 +2025-10-31 17:24:41,381 ERROR: Encountered non-finite generator loss at iter 7847; skipping update. +2025-10-31 17:24:41,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:41,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:41,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.18, mean=-0.3706, std=3.586, absmax=13.98 +2025-10-31 17:24:41,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=8.663, mean=-0.3367, std=2.908, absmax=12.1 +2025-10-31 17:24:41,887 ERROR: Encountered non-finite generator loss at iter 7848; skipping update. +2025-10-31 17:24:41,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,890 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,890 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:41,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:41,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:41,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:41,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=14.61, mean=-0.1489, std=3.15, absmax=15.25 +2025-10-31 17:24:41,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.63, max=9.488, mean=-0.2049, std=2.644, absmax=12.63 +2025-10-31 17:24:42,391 ERROR: Encountered non-finite generator loss at iter 7849; skipping update. +2025-10-31 17:24:42,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:42,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:42,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=13.68, mean=-0.04722, std=2.685, absmax=13.68 +2025-10-31 17:24:42,401 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.941, max=9.241, mean=-0.07692, std=2.307, absmax=9.241 +2025-10-31 17:24:42,896 ERROR: Encountered non-finite generator loss at iter 7850; skipping update. +2025-10-31 17:24:42,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:42,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:42,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:42,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:42,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.75, mean=-0.2218, std=3.361, absmax=13.54 +2025-10-31 17:24:42,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=8.914, mean=-0.2039, std=2.78, absmax=11.94 +2025-10-31 17:24:43,400 ERROR: Encountered non-finite generator loss at iter 7851; skipping update. +2025-10-31 17:24:43,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:43,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:43,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.37, mean=-0.2401, std=2.937, absmax=13.92 +2025-10-31 17:24:43,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=8.337, mean=-0.2688, std=2.585, absmax=10.83 +2025-10-31 17:24:43,906 ERROR: Encountered non-finite generator loss at iter 7852; skipping update. +2025-10-31 17:24:43,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:43,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:43,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:43,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:43,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=15.76, mean=-0.01361, std=3.54, absmax=15.76 +2025-10-31 17:24:43,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=12.91, mean=-0.01191, std=3.029, absmax=12.91 +2025-10-31 17:24:44,412 ERROR: Encountered non-finite generator loss at iter 7853; skipping update. +2025-10-31 17:24:44,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:44,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:44,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.91, mean=-0.03775, std=3.419, absmax=13.61 +2025-10-31 17:24:44,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.83, mean=-0.02848, std=2.9, absmax=11.83 +2025-10-31 17:24:44,917 ERROR: Encountered non-finite generator loss at iter 7854; skipping update. +2025-10-31 17:24:44,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,920 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,921 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:44,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:44,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:44,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:44,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.21, mean=-0.2594, std=2.9, absmax=13.6 +2025-10-31 17:24:44,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.75, max=10.78, mean=-0.2458, std=2.395, absmax=10.78 +2025-10-31 17:24:45,420 ERROR: Encountered non-finite generator loss at iter 7855; skipping update. +2025-10-31 17:24:45,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,422 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:45,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:45,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=15.73, mean=0.02757, std=2.827, absmax=15.73 +2025-10-31 17:24:45,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.481, max=11.02, mean=-0.02889, std=2.418, absmax=11.02 +2025-10-31 17:24:45,923 ERROR: Encountered non-finite generator loss at iter 7856; skipping update. +2025-10-31 17:24:45,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:45,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:45,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:45,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:45,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.36, mean=-0.1171, std=3.306, absmax=13.36 +2025-10-31 17:24:45,933 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.722, mean=-0.1464, std=2.648, absmax=10.01 +2025-10-31 17:24:46,430 ERROR: Encountered non-finite generator loss at iter 7857; skipping update. +2025-10-31 17:24:46,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,433 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:46,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:46,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.59, mean=-0.2064, std=2.839, absmax=14.59 +2025-10-31 17:24:46,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=7.751, mean=-0.2373, std=2.387, absmax=12.23 +2025-10-31 17:24:46,933 ERROR: Encountered non-finite generator loss at iter 7858; skipping update. +2025-10-31 17:24:46,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:46,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:46,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:46,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:46,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.06, mean=-0.2944, std=2.991, absmax=14.06 +2025-10-31 17:24:46,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11, mean=-0.2682, std=2.493, absmax=11 +2025-10-31 17:24:47,437 ERROR: Encountered non-finite generator loss at iter 7859; skipping update. +2025-10-31 17:24:47,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:47,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:47,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.6, mean=-0.05352, std=3.3, absmax=13.81 +2025-10-31 17:24:47,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=10.06, mean=-0.05886, std=2.606, absmax=10.66 +2025-10-31 17:24:47,942 ERROR: Encountered non-finite generator loss at iter 7860; skipping update. +2025-10-31 17:24:47,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:47,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:47,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:47,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:47,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=13.66, mean=-0.08908, std=2.98, absmax=13.66 +2025-10-31 17:24:47,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.917, max=12.51, mean=-0.09101, std=2.547, absmax=12.51 +2025-10-31 17:24:48,447 ERROR: Encountered non-finite generator loss at iter 7861; skipping update. +2025-10-31 17:24:48,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:48,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:48,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.29, mean=-0.09539, std=2.871, absmax=13.02 +2025-10-31 17:24:48,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.83, max=8.576, mean=-0.09662, std=2.417, absmax=9.83 +2025-10-31 17:24:48,953 ERROR: Encountered non-finite generator loss at iter 7862; skipping update. +2025-10-31 17:24:48,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:48,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:48,960 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:48,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:48,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.74, mean=-0.09841, std=3.194, absmax=14.74 +2025-10-31 17:24:48,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=12.78, mean=-0.1541, std=2.894, absmax=12.78 +2025-10-31 17:24:49,458 ERROR: Encountered non-finite generator loss at iter 7863; skipping update. +2025-10-31 17:24:49,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:49,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:49,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.4, mean=-0.1298, std=3.562, absmax=13.4 +2025-10-31 17:24:49,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=10.45, mean=-0.1361, std=2.973, absmax=10.45 +2025-10-31 17:24:49,964 ERROR: Encountered non-finite generator loss at iter 7864; skipping update. +2025-10-31 17:24:49,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:49,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:49,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:49,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:49,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=14.84, mean=0.05601, std=3.473, absmax=14.84 +2025-10-31 17:24:49,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.105, max=11.82, mean=0.01448, std=2.869, absmax=11.82 +2025-10-31 17:24:50,470 ERROR: Encountered non-finite generator loss at iter 7865; skipping update. +2025-10-31 17:24:50,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,473 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,474 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:50,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:50,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.12, mean=0.03348, std=3.247, absmax=15.12 +2025-10-31 17:24:50,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=12.13, mean=0.02184, std=2.739, absmax=12.13 +2025-10-31 17:24:50,976 ERROR: Encountered non-finite generator loss at iter 7866; skipping update. +2025-10-31 17:24:50,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,979 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:50,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:50,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:50,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:50,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.18, mean=-0.09157, std=3.792, absmax=14.25 +2025-10-31 17:24:50,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=12.31, mean=-0.1305, std=3.245, absmax=12.31 +2025-10-31 17:24:51,480 ERROR: Encountered non-finite generator loss at iter 7867; skipping update. +2025-10-31 17:24:51,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:51,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:51,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=16.89, mean=-0.262, std=3.24, absmax=16.89 +2025-10-31 17:24:51,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=9.663, mean=-0.2963, std=2.702, absmax=10.35 +2025-10-31 17:24:51,986 ERROR: Encountered non-finite generator loss at iter 7868; skipping update. +2025-10-31 17:24:51,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:51,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:51,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:51,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:51,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.74, mean=-0.2437, std=2.604, absmax=13.57 +2025-10-31 17:24:51,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.243, mean=-0.2151, std=2.249, absmax=10.47 +2025-10-31 17:24:52,489 ERROR: Encountered non-finite generator loss at iter 7869; skipping update. +2025-10-31 17:24:52,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:52,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:52,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=12.95, mean=-0.2, std=2.926, absmax=14.93 +2025-10-31 17:24:52,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.859, mean=-0.2169, std=2.547, absmax=11.06 +2025-10-31 17:24:52,992 ERROR: Encountered non-finite generator loss at iter 7870; skipping update. +2025-10-31 17:24:52,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:52,998 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:52,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:53,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:53,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.38, mean=-0.1564, std=2.935, absmax=12.95 +2025-10-31 17:24:53,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=11, mean=-0.1961, std=2.676, absmax=11.16 +2025-10-31 17:24:53,497 ERROR: Encountered non-finite generator loss at iter 7871; skipping update. +2025-10-31 17:24:53,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:53,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:53,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:53,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:53,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:53,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:53,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:53,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:53,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=10.88, mean=-0.3435, std=2.624, absmax=12.67 +2025-10-31 17:24:53,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=7.983, mean=-0.3076, std=2.237, absmax=9.646 +2025-10-31 17:24:54,003 ERROR: Encountered non-finite generator loss at iter 7872; skipping update. +2025-10-31 17:24:54,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:54,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:54,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=15.19, mean=-0.1836, std=2.801, absmax=15.19 +2025-10-31 17:24:54,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.998, max=9.298, mean=-0.1792, std=2.358, absmax=9.998 +2025-10-31 17:24:54,509 ERROR: Encountered non-finite generator loss at iter 7873; skipping update. +2025-10-31 17:24:54,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:54,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:54,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:54,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:54,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.73, max=12.4, mean=-0.2275, std=2.633, absmax=16.73 +2025-10-31 17:24:54,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=8.998, mean=-0.256, std=2.296, absmax=11.6 +2025-10-31 17:24:55,012 ERROR: Encountered non-finite generator loss at iter 7874; skipping update. +2025-10-31 17:24:55,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,015 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,016 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:55,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:55,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.02, mean=-0.1757, std=3.071, absmax=13.02 +2025-10-31 17:24:55,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.413, max=9.351, mean=-0.2105, std=2.489, absmax=9.413 +2025-10-31 17:24:55,518 ERROR: Encountered non-finite generator loss at iter 7875; skipping update. +2025-10-31 17:24:55,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:55,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:55,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:55,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:55,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=13.15, mean=-0.1495, std=2.788, absmax=13.15 +2025-10-31 17:24:55,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.9, max=9.887, mean=-0.155, std=2.338, absmax=9.887 +2025-10-31 17:24:56,018 ERROR: Encountered non-finite generator loss at iter 7876; skipping update. +2025-10-31 17:24:56,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:56,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:56,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.34, mean=-0.14, std=2.859, absmax=13.34 +2025-10-31 17:24:56,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.488, max=8.818, mean=-0.06256, std=2.433, absmax=9.488 +2025-10-31 17:24:56,522 ERROR: Encountered non-finite generator loss at iter 7877; skipping update. +2025-10-31 17:24:56,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:56,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:56,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:56,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:56,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.43, mean=0.03389, std=3.169, absmax=13.43 +2025-10-31 17:24:56,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.992, max=11.76, mean=0.04456, std=2.824, absmax=11.76 +2025-10-31 17:24:57,025 ERROR: Encountered non-finite generator loss at iter 7878; skipping update. +2025-10-31 17:24:57,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:57,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:57,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.87, mean=-0.1824, std=3.235, absmax=14.87 +2025-10-31 17:24:57,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=13.31, mean=-0.178, std=2.642, absmax=13.31 +2025-10-31 17:24:57,528 ERROR: Encountered non-finite generator loss at iter 7879; skipping update. +2025-10-31 17:24:57,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:57,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:57,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:57,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:57,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.75, mean=-0.2029, std=2.773, absmax=12.75 +2025-10-31 17:24:57,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=9.708, mean=-0.2117, std=2.548, absmax=11.62 +2025-10-31 17:24:58,031 ERROR: Encountered non-finite generator loss at iter 7880; skipping update. +2025-10-31 17:24:58,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,033 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,034 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:58,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:58,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=13.91, mean=-0.0896, std=3.695, absmax=14.47 +2025-10-31 17:24:58,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=11.05, mean=-0.1277, std=3.134, absmax=11.37 +2025-10-31 17:24:58,533 ERROR: Encountered non-finite generator loss at iter 7881; skipping update. +2025-10-31 17:24:58,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,537 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,538 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:58,539 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:58,540 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:58,541 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:58,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=21.66, mean=-0.1335, std=3.087, absmax=21.66 +2025-10-31 17:24:58,543 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.277, mean=-0.1542, std=2.504, absmax=10.68 +2025-10-31 17:24:59,037 ERROR: Encountered non-finite generator loss at iter 7882; skipping update. +2025-10-31 17:24:59,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:59,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:59,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.87, mean=-0.2337, std=2.811, absmax=13.84 +2025-10-31 17:24:59,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.386, max=8.327, mean=-0.1931, std=2.396, absmax=9.386 +2025-10-31 17:24:59,537 ERROR: Encountered non-finite generator loss at iter 7883; skipping update. +2025-10-31 17:24:59,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:24:59,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:24:59,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:24:59,545 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:24:59,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.94, mean=-0.1114, std=2.612, absmax=13.94 +2025-10-31 17:24:59,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.287, max=8.804, mean=-0.0846, std=2.174, absmax=8.804 +2025-10-31 17:25:00,040 ERROR: Encountered non-finite generator loss at iter 7884; skipping update. +2025-10-31 17:25:00,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:00,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:00,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=14.11, mean=-0.1177, std=2.814, absmax=14.11 +2025-10-31 17:25:00,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=11.9, mean=-0.1319, std=2.324, absmax=11.9 +2025-10-31 17:25:00,542 ERROR: Encountered non-finite generator loss at iter 7885; skipping update. +2025-10-31 17:25:00,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:00,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:00,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:00,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:00,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=11.31, mean=-0.1392, std=2.794, absmax=11.53 +2025-10-31 17:25:00,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.607, mean=-0.1209, std=2.359, absmax=10.12 +2025-10-31 17:25:01,046 ERROR: Encountered non-finite generator loss at iter 7886; skipping update. +2025-10-31 17:25:01,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,050 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,051 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,052 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,053 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:01,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:01,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.65, mean=-0.1582, std=3.088, absmax=13.74 +2025-10-31 17:25:01,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=10.29, mean=-0.1842, std=2.623, absmax=10.66 +2025-10-31 17:25:01,547 ERROR: Encountered non-finite generator loss at iter 7887; skipping update. +2025-10-31 17:25:01,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:01,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:01,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:01,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:01,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.45, mean=-0.05657, std=2.453, absmax=13.79 +2025-10-31 17:25:01,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.228, max=7.766, mean=-0.0369, std=2.171, absmax=8.228 +2025-10-31 17:25:02,049 ERROR: Encountered non-finite generator loss at iter 7888; skipping update. +2025-10-31 17:25:02,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:02,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:02,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.52, mean=0.3518, std=3.929, absmax=15.52 +2025-10-31 17:25:02,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=13.19, mean=0.3362, std=3.401, absmax=13.19 +2025-10-31 17:25:02,554 ERROR: Encountered non-finite generator loss at iter 7889; skipping update. +2025-10-31 17:25:02,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:02,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:02,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:02,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:02,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=16.19, mean=-0.3487, std=3.262, absmax=16.19 +2025-10-31 17:25:02,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.347, mean=-0.2978, std=2.554, absmax=10.11 +2025-10-31 17:25:03,054 ERROR: Encountered non-finite generator loss at iter 7890; skipping update. +2025-10-31 17:25:03,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:03,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:03,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.38, mean=-0.04904, std=3.115, absmax=14.8 +2025-10-31 17:25:03,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.897, max=9.951, mean=-0.07289, std=2.603, absmax=9.951 +2025-10-31 17:25:03,558 ERROR: Encountered non-finite generator loss at iter 7891; skipping update. +2025-10-31 17:25:03,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:03,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:03,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:03,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:03,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.16, mean=0.2341, std=3.916, absmax=15.16 +2025-10-31 17:25:03,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.208, max=14.82, mean=0.2005, std=3.382, absmax=14.82 +2025-10-31 17:25:04,062 ERROR: Encountered non-finite generator loss at iter 7892; skipping update. +2025-10-31 17:25:04,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:04,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:04,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.14, max=14.23, mean=-0.3942, std=3.3, absmax=16.14 +2025-10-31 17:25:04,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=12.26, mean=-0.3584, std=2.867, absmax=12.26 +2025-10-31 17:25:04,567 ERROR: Encountered non-finite generator loss at iter 7893; skipping update. +2025-10-31 17:25:04,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:04,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:04,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:04,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:04,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.5, mean=-0.2149, std=2.684, absmax=13.59 +2025-10-31 17:25:04,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.127, max=9.017, mean=-0.2295, std=2.205, absmax=9.127 +2025-10-31 17:25:05,067 ERROR: Encountered non-finite generator loss at iter 7894; skipping update. +2025-10-31 17:25:05,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:05,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:05,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.4, mean=-0.09947, std=3.346, absmax=13.4 +2025-10-31 17:25:05,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=11.8, mean=-0.0889, std=2.901, absmax=11.8 +2025-10-31 17:25:05,571 ERROR: Encountered non-finite generator loss at iter 7895; skipping update. +2025-10-31 17:25:05,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,575 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:05,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:05,578 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:05,579 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:05,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=15.87, mean=-0.2072, std=2.784, absmax=15.87 +2025-10-31 17:25:05,581 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=9.593, mean=-0.1999, std=2.218, absmax=11.23 +2025-10-31 17:25:06,074 ERROR: Encountered non-finite generator loss at iter 7896; skipping update. +2025-10-31 17:25:06,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:06,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:06,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.91, max=13.79, mean=-0.1328, std=2.892, absmax=15.91 +2025-10-31 17:25:06,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=10.11, mean=-0.1438, std=2.516, absmax=10.11 +2025-10-31 17:25:06,578 ERROR: Encountered non-finite generator loss at iter 7897; skipping update. +2025-10-31 17:25:06,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:06,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:06,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:06,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:06,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.68, mean=-0.1864, std=2.592, absmax=12.68 +2025-10-31 17:25:06,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.612, max=9.058, mean=-0.1622, std=2.193, absmax=9.612 +2025-10-31 17:25:07,080 ERROR: Encountered non-finite generator loss at iter 7898; skipping update. +2025-10-31 17:25:07,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,083 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:07,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:07,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=15.77, mean=0.01137, std=3.496, absmax=15.77 +2025-10-31 17:25:07,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.997, max=10.52, mean=0.02125, std=2.981, absmax=10.52 +2025-10-31 17:25:07,586 ERROR: Encountered non-finite generator loss at iter 7899; skipping update. +2025-10-31 17:25:07,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,588 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:07,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:07,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:07,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:07,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=17.1, mean=-0.0824, std=3.617, absmax=17.1 +2025-10-31 17:25:07,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=12.69, mean=-0.0704, std=3.067, absmax=12.69 +2025-10-31 17:25:08,089 ERROR: Encountered non-finite generator loss at iter 7900; skipping update. +2025-10-31 17:25:08,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:08,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:08,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.98, mean=-0.176, std=3.153, absmax=14.15 +2025-10-31 17:25:08,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.971, mean=-0.1977, std=2.642, absmax=10.57 +2025-10-31 17:25:08,100 INFO: [29..][epoch: 0, step: 7,900, lr:(1.500e-04,)] [eta: 1 day, 17:25:42, time (data): 0.504 (0.000)] +2025-10-31 17:25:08,593 ERROR: Encountered non-finite generator loss at iter 7901; skipping update. +2025-10-31 17:25:08,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:08,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:08,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:08,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:08,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=16.32, mean=0.01454, std=3.25, absmax=16.32 +2025-10-31 17:25:08,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=12.65, mean=-0.03792, std=2.682, absmax=12.65 +2025-10-31 17:25:09,095 ERROR: Encountered non-finite generator loss at iter 7902; skipping update. +2025-10-31 17:25:09,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:09,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:09,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.58, mean=-0.01732, std=3.258, absmax=13.58 +2025-10-31 17:25:09,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=10.67, mean=-0.002725, std=2.762, absmax=10.67 +2025-10-31 17:25:09,598 ERROR: Encountered non-finite generator loss at iter 7903; skipping update. +2025-10-31 17:25:09,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:09,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:09,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:09,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:09,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.9, mean=0.1598, std=3.388, absmax=13.79 +2025-10-31 17:25:09,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.887, max=10.99, mean=0.1305, std=2.769, absmax=10.99 +2025-10-31 17:25:10,101 ERROR: Encountered non-finite generator loss at iter 7904; skipping update. +2025-10-31 17:25:10,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:10,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:10,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=14.3, mean=0.06243, std=3.064, absmax=14.3 +2025-10-31 17:25:10,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.613, max=11.25, mean=0.05095, std=2.467, absmax=11.25 +2025-10-31 17:25:10,603 ERROR: Encountered non-finite generator loss at iter 7905; skipping update. +2025-10-31 17:25:10,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:10,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:10,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:10,611 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:10,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.91, mean=-0.4051, std=3.3, absmax=13.68 +2025-10-31 17:25:10,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=9.785, mean=-0.3789, std=2.996, absmax=11.95 +2025-10-31 17:25:11,108 ERROR: Encountered non-finite generator loss at iter 7906; skipping update. +2025-10-31 17:25:11,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,112 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,113 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,114 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,115 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:11,116 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:11,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=13.42, mean=-0.0396, std=2.715, absmax=13.42 +2025-10-31 17:25:11,118 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.174, max=10.68, mean=-0.07107, std=2.396, absmax=10.68 +2025-10-31 17:25:11,611 ERROR: Encountered non-finite generator loss at iter 7907; skipping update. +2025-10-31 17:25:11,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,614 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,616 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:11,617 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:11,618 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:11,619 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:11,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=15.16, mean=0.1003, std=3.975, absmax=15.16 +2025-10-31 17:25:11,621 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.02, max=14.82, mean=0.08274, std=3.493, absmax=14.82 +2025-10-31 17:25:12,114 ERROR: Encountered non-finite generator loss at iter 7908; skipping update. +2025-10-31 17:25:12,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:12,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:12,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=15.13, mean=-0.04537, std=2.788, absmax=15.13 +2025-10-31 17:25:12,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=10.25, mean=-0.08789, std=2.262, absmax=10.25 +2025-10-31 17:25:12,619 ERROR: Encountered non-finite generator loss at iter 7909; skipping update. +2025-10-31 17:25:12,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:12,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:12,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:12,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:12,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.51, mean=-0.004183, std=3.353, absmax=13.51 +2025-10-31 17:25:12,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=11.46, mean=-0.02542, std=2.809, absmax=11.46 +2025-10-31 17:25:13,122 ERROR: Encountered non-finite generator loss at iter 7910; skipping update. +2025-10-31 17:25:13,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:13,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:13,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.34, mean=-0.255, std=2.839, absmax=12.57 +2025-10-31 17:25:13,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.255, mean=-0.212, std=2.534, absmax=11.08 +2025-10-31 17:25:13,624 ERROR: Encountered non-finite generator loss at iter 7911; skipping update. +2025-10-31 17:25:13,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:13,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:13,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:13,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:13,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.4, mean=-0.1341, std=3.298, absmax=14.4 +2025-10-31 17:25:13,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.19, mean=-0.1416, std=2.842, absmax=11.19 +2025-10-31 17:25:14,127 ERROR: Encountered non-finite generator loss at iter 7912; skipping update. +2025-10-31 17:25:14,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:14,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:14,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=15.1, mean=-0.06292, std=3.201, absmax=15.1 +2025-10-31 17:25:14,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=10.94, mean=-0.07274, std=2.742, absmax=12.13 +2025-10-31 17:25:14,630 ERROR: Encountered non-finite generator loss at iter 7913; skipping update. +2025-10-31 17:25:14,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:14,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:14,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:14,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:14,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=13.91, mean=0.04727, std=3.921, absmax=15.54 +2025-10-31 17:25:14,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=11.81, mean=0.0112, std=3.225, absmax=11.81 +2025-10-31 17:25:15,134 ERROR: Encountered non-finite generator loss at iter 7914; skipping update. +2025-10-31 17:25:15,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:15,141 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:15,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.85, mean=-0.2936, std=3.126, absmax=14.85 +2025-10-31 17:25:15,143 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.588, mean=-0.268, std=2.798, absmax=10.12 +2025-10-31 17:25:15,635 ERROR: Encountered non-finite generator loss at iter 7915; skipping update. +2025-10-31 17:25:15,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:15,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:15,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:15,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:15,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=14.23, mean=0.0701, std=3.541, absmax=14.41 +2025-10-31 17:25:15,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=12.46, mean=0.132, std=3.067, absmax=12.46 +2025-10-31 17:25:16,137 ERROR: Encountered non-finite generator loss at iter 7916; skipping update. +2025-10-31 17:25:16,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:16,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:16,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.52, mean=-0.2735, std=3.17, absmax=14.87 +2025-10-31 17:25:16,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.987, mean=-0.2638, std=2.671, absmax=10.96 +2025-10-31 17:25:16,641 ERROR: Encountered non-finite generator loss at iter 7917; skipping update. +2025-10-31 17:25:16,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:16,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:16,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:16,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:16,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.9, mean=0.02016, std=2.918, absmax=14.9 +2025-10-31 17:25:16,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.968, max=12.03, mean=0.01689, std=2.378, absmax=12.03 +2025-10-31 17:25:17,145 ERROR: Encountered non-finite generator loss at iter 7918; skipping update. +2025-10-31 17:25:17,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:17,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:17,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=16.34, mean=-0.1561, std=2.78, absmax=16.34 +2025-10-31 17:25:17,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=12.57, mean=-0.1058, std=2.444, absmax=12.57 +2025-10-31 17:25:17,648 ERROR: Encountered non-finite generator loss at iter 7919; skipping update. +2025-10-31 17:25:17,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,650 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,650 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,651 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:17,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:17,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:17,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:17,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.76, mean=-0.1615, std=2.965, absmax=14.76 +2025-10-31 17:25:17,657 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.705, max=9.999, mean=-0.1393, std=2.341, absmax=9.999 +2025-10-31 17:25:18,149 ERROR: Encountered non-finite generator loss at iter 7920; skipping update. +2025-10-31 17:25:18,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,153 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:18,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:18,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=14.35, mean=-0.09335, std=2.807, absmax=14.35 +2025-10-31 17:25:18,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.863, max=11.08, mean=-0.09601, std=2.254, absmax=11.08 +2025-10-31 17:25:18,652 ERROR: Encountered non-finite generator loss at iter 7921; skipping update. +2025-10-31 17:25:18,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:18,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:18,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:18,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:18,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=11.84, mean=-0.1383, std=3.07, absmax=14.73 +2025-10-31 17:25:18,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.664, mean=-0.1732, std=2.565, absmax=11.36 +2025-10-31 17:25:19,151 ERROR: Encountered non-finite generator loss at iter 7922; skipping update. +2025-10-31 17:25:19,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:19,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:19,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=12.01, mean=-0.2119, std=2.781, absmax=15.37 +2025-10-31 17:25:19,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=8.716, mean=-0.2385, std=2.47, absmax=11.63 +2025-10-31 17:25:19,652 ERROR: Encountered non-finite generator loss at iter 7923; skipping update. +2025-10-31 17:25:19,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:19,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:19,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:19,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:19,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=9.684, mean=-0.2033, std=2.63, absmax=13.03 +2025-10-31 17:25:19,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.035, mean=-0.159, std=2.327, absmax=10.73 +2025-10-31 17:25:20,160 ERROR: Encountered non-finite generator loss at iter 7924; skipping update. +2025-10-31 17:25:20,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,164 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:20,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:20,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=11.89, mean=0.04907, std=3.1, absmax=14.94 +2025-10-31 17:25:20,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.829, mean=0.008061, std=2.774, absmax=10.2 +2025-10-31 17:25:20,662 ERROR: Encountered non-finite generator loss at iter 7925; skipping update. +2025-10-31 17:25:20,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:20,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:20,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:20,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:20,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=15.22, mean=-0.2307, std=3.219, absmax=15.22 +2025-10-31 17:25:20,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.835, max=12.06, mean=-0.2181, std=2.652, absmax=12.06 +2025-10-31 17:25:21,165 ERROR: Encountered non-finite generator loss at iter 7926; skipping update. +2025-10-31 17:25:21,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:21,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:21,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.52, mean=0.1069, std=3.701, absmax=14.52 +2025-10-31 17:25:21,176 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=11.7, mean=0.0453, std=3.159, absmax=11.86 +2025-10-31 17:25:21,668 ERROR: Encountered non-finite generator loss at iter 7927; skipping update. +2025-10-31 17:25:21,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:21,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:21,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:21,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:21,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.78, mean=-0.08562, std=2.834, absmax=13.81 +2025-10-31 17:25:21,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.976, max=9.467, mean=-0.1331, std=2.314, absmax=9.976 +2025-10-31 17:25:22,169 ERROR: Encountered non-finite generator loss at iter 7928; skipping update. +2025-10-31 17:25:22,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:22,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:22,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.31, mean=-0.2485, std=3.172, absmax=12.56 +2025-10-31 17:25:22,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=9.354, mean=-0.2403, std=2.665, absmax=11.61 +2025-10-31 17:25:22,672 ERROR: Encountered non-finite generator loss at iter 7929; skipping update. +2025-10-31 17:25:22,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:22,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:22,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:22,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:22,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.43, mean=-0.0435, std=3.016, absmax=13.09 +2025-10-31 17:25:22,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.501, max=8.544, mean=-0.07873, std=2.361, absmax=9.501 +2025-10-31 17:25:23,176 ERROR: Encountered non-finite generator loss at iter 7930; skipping update. +2025-10-31 17:25:23,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,180 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,181 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,182 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:23,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:23,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.09, mean=-0.3018, std=3.069, absmax=14.09 +2025-10-31 17:25:23,186 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.289, mean=-0.3083, std=2.668, absmax=10.85 +2025-10-31 17:25:23,678 ERROR: Encountered non-finite generator loss at iter 7931; skipping update. +2025-10-31 17:25:23,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:23,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:23,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:23,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:23,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.3, mean=-0.2575, std=3.242, absmax=13.75 +2025-10-31 17:25:23,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.48, mean=-0.1879, std=2.695, absmax=10.43 +2025-10-31 17:25:24,178 ERROR: Encountered non-finite generator loss at iter 7932; skipping update. +2025-10-31 17:25:24,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:24,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:24,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=11.71, mean=-0.2911, std=2.7, absmax=13.12 +2025-10-31 17:25:24,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.213, mean=-0.2471, std=2.353, absmax=10.23 +2025-10-31 17:25:24,681 ERROR: Encountered non-finite generator loss at iter 7933; skipping update. +2025-10-31 17:25:24,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:24,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:24,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:24,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:24,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=17.03, mean=-0.1262, std=3.158, absmax=17.03 +2025-10-31 17:25:24,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=12.29, mean=-0.08812, std=2.736, absmax=12.29 +2025-10-31 17:25:25,183 ERROR: Encountered non-finite generator loss at iter 7934; skipping update. +2025-10-31 17:25:25,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:25,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:25,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.21, mean=-0.3038, std=3.284, absmax=14.12 +2025-10-31 17:25:25,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=9.065, mean=-0.3513, std=2.778, absmax=10.26 +2025-10-31 17:25:25,686 ERROR: Encountered non-finite generator loss at iter 7935; skipping update. +2025-10-31 17:25:25,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:25,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:25,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:25,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:25,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.48, mean=-0.3597, std=2.802, absmax=12.48 +2025-10-31 17:25:25,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=9.431, mean=-0.3018, std=2.544, absmax=10.61 +2025-10-31 17:25:26,187 ERROR: Encountered non-finite generator loss at iter 7936; skipping update. +2025-10-31 17:25:26,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,189 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:26,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:26,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=16.49, mean=-0.2629, std=2.738, absmax=16.49 +2025-10-31 17:25:26,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.842, max=12.24, mean=-0.2704, std=2.211, absmax=12.24 +2025-10-31 17:25:26,689 ERROR: Encountered non-finite generator loss at iter 7937; skipping update. +2025-10-31 17:25:26,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:26,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:26,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:26,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:26,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.19, mean=0.09505, std=3.829, absmax=13.7 +2025-10-31 17:25:26,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.41, mean=0.09363, std=3.139, absmax=11.11 +2025-10-31 17:25:27,188 ERROR: Encountered non-finite generator loss at iter 7938; skipping update. +2025-10-31 17:25:27,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:27,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:27,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.44, mean=0.09195, std=3.506, absmax=13.44 +2025-10-31 17:25:27,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.78, mean=0.04502, std=2.886, absmax=11.78 +2025-10-31 17:25:27,691 ERROR: Encountered non-finite generator loss at iter 7939; skipping update. +2025-10-31 17:25:27,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,693 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:27,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:27,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:27,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:27,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.71, mean=-0.2745, std=3.614, absmax=14.71 +2025-10-31 17:25:27,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.54, max=11.4, mean=-0.2926, std=3.317, absmax=12.54 +2025-10-31 17:25:28,192 ERROR: Encountered non-finite generator loss at iter 7940; skipping update. +2025-10-31 17:25:28,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:28,199 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:28,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=14.37, mean=-0.1862, std=3.018, absmax=14.37 +2025-10-31 17:25:28,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=13.63, mean=-0.1373, std=2.872, absmax=13.63 +2025-10-31 17:25:28,695 ERROR: Encountered non-finite generator loss at iter 7941; skipping update. +2025-10-31 17:25:28,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:28,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:28,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:28,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:28,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.93, mean=-0.1039, std=3.067, absmax=13.93 +2025-10-31 17:25:28,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.666, max=11.67, mean=-0.1519, std=2.536, absmax=11.67 +2025-10-31 17:25:29,197 ERROR: Encountered non-finite generator loss at iter 7942; skipping update. +2025-10-31 17:25:29,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:29,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:29,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=12.7, mean=-0.2471, std=3.212, absmax=14.94 +2025-10-31 17:25:29,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=9.456, mean=-0.2441, std=2.597, absmax=10.99 +2025-10-31 17:25:29,701 ERROR: Encountered non-finite generator loss at iter 7943; skipping update. +2025-10-31 17:25:29,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:29,707 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:29,708 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:29,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:29,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.46, mean=0.1084, std=3.551, absmax=14.46 +2025-10-31 17:25:29,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.871, max=11.76, mean=0.06162, std=2.795, absmax=11.76 +2025-10-31 17:25:30,203 ERROR: Encountered non-finite generator loss at iter 7944; skipping update. +2025-10-31 17:25:30,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:30,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:30,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.85, mean=-0.2565, std=2.405, absmax=11.85 +2025-10-31 17:25:30,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.939, max=7.625, mean=-0.2596, std=2.088, absmax=9.939 +2025-10-31 17:25:30,706 ERROR: Encountered non-finite generator loss at iter 7945; skipping update. +2025-10-31 17:25:30,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,711 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,712 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:30,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:30,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:30,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:30,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.6, mean=0.036, std=3.383, absmax=13.6 +2025-10-31 17:25:30,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=11.65, mean=0.0369, std=2.953, absmax=11.65 +2025-10-31 17:25:31,209 ERROR: Encountered non-finite generator loss at iter 7946; skipping update. +2025-10-31 17:25:31,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,213 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,214 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,214 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,216 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,216 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:31,217 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:31,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=11.36, mean=-0.2845, std=3.164, absmax=15.37 +2025-10-31 17:25:31,219 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.07, max=10.57, mean=-0.2883, std=2.821, absmax=13.07 +2025-10-31 17:25:31,712 ERROR: Encountered non-finite generator loss at iter 7947; skipping update. +2025-10-31 17:25:31,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:31,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:31,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:31,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:31,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.97, mean=-0.1862, std=3.281, absmax=13.97 +2025-10-31 17:25:31,721 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=9.91, mean=-0.1626, std=2.611, absmax=9.91 +2025-10-31 17:25:32,212 ERROR: Encountered non-finite generator loss at iter 7948; skipping update. +2025-10-31 17:25:32,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:32,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:32,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.83, mean=-0.005748, std=2.907, absmax=13.83 +2025-10-31 17:25:32,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.99, mean=0.0009826, std=2.496, absmax=10.99 +2025-10-31 17:25:32,715 ERROR: Encountered non-finite generator loss at iter 7949; skipping update. +2025-10-31 17:25:32,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,718 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:32,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:32,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:32,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:32,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=15, mean=0.03049, std=3.379, absmax=15 +2025-10-31 17:25:32,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.126, max=13.77, mean=0.002439, std=2.932, absmax=13.77 +2025-10-31 17:25:33,218 ERROR: Encountered non-finite generator loss at iter 7950; skipping update. +2025-10-31 17:25:33,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:33,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:33,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=14.35, mean=0.01396, std=3.368, absmax=14.35 +2025-10-31 17:25:33,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.791, max=11.61, mean=-0.01409, std=2.829, absmax=11.61 +2025-10-31 17:25:33,719 ERROR: Encountered non-finite generator loss at iter 7951; skipping update. +2025-10-31 17:25:33,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:33,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:33,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:33,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:33,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.33, mean=-0.1839, std=2.728, absmax=11.83 +2025-10-31 17:25:33,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.692, max=9.076, mean=-0.1877, std=2.344, absmax=9.692 +2025-10-31 17:25:34,223 ERROR: Encountered non-finite generator loss at iter 7952; skipping update. +2025-10-31 17:25:34,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,225 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,226 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:34,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:34,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14.35, mean=0.1181, std=3.354, absmax=14.35 +2025-10-31 17:25:34,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.498, max=11.08, mean=0.09869, std=2.706, absmax=11.08 +2025-10-31 17:25:34,725 ERROR: Encountered non-finite generator loss at iter 7953; skipping update. +2025-10-31 17:25:34,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,728 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,729 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:34,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:34,731 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:34,732 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:34,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.45, mean=-0.1848, std=3.351, absmax=13 +2025-10-31 17:25:34,734 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=9.653, mean=-0.1657, std=2.817, absmax=12.21 +2025-10-31 17:25:35,228 ERROR: Encountered non-finite generator loss at iter 7954; skipping update. +2025-10-31 17:25:35,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:35,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:35,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.02, mean=-0.06773, std=3.057, absmax=12.02 +2025-10-31 17:25:35,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.569, max=9.836, mean=-0.0454, std=2.634, absmax=9.836 +2025-10-31 17:25:35,729 ERROR: Encountered non-finite generator loss at iter 7955; skipping update. +2025-10-31 17:25:35,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:35,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:35,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:35,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:35,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.99, mean=0.02925, std=2.692, absmax=12.56 +2025-10-31 17:25:35,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.145, max=8.766, mean=0.03501, std=2.32, absmax=8.766 +2025-10-31 17:25:36,236 ERROR: Encountered non-finite generator loss at iter 7956; skipping update. +2025-10-31 17:25:36,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,239 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:36,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:36,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.7, mean=-0.1885, std=2.828, absmax=12.7 +2025-10-31 17:25:36,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.657, max=8.012, mean=-0.1739, std=2.365, absmax=8.657 +2025-10-31 17:25:36,739 ERROR: Encountered non-finite generator loss at iter 7957; skipping update. +2025-10-31 17:25:36,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:36,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:36,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:36,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:36,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.65, mean=-0.2311, std=2.365, absmax=13.65 +2025-10-31 17:25:36,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.836, max=8.31, mean=-0.2268, std=1.957, absmax=8.31 +2025-10-31 17:25:37,245 ERROR: Encountered non-finite generator loss at iter 7958; skipping update. +2025-10-31 17:25:37,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,248 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,250 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,251 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,252 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:37,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:37,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=13.33, mean=-0.149, std=3.104, absmax=13.33 +2025-10-31 17:25:37,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.085, mean=-0.1426, std=2.464, absmax=10.3 +2025-10-31 17:25:37,749 ERROR: Encountered non-finite generator loss at iter 7959; skipping update. +2025-10-31 17:25:37,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:37,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:37,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:37,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:37,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=12.06, mean=-0.3152, std=3.16, absmax=14.62 +2025-10-31 17:25:37,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=9.135, mean=-0.2743, std=2.686, absmax=10.73 +2025-10-31 17:25:38,250 ERROR: Encountered non-finite generator loss at iter 7960; skipping update. +2025-10-31 17:25:38,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:38,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:38,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=14.59, mean=-0.1542, std=2.84, absmax=14.68 +2025-10-31 17:25:38,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.819, max=11.43, mean=-0.1627, std=2.311, absmax=11.43 +2025-10-31 17:25:38,753 ERROR: Encountered non-finite generator loss at iter 7961; skipping update. +2025-10-31 17:25:38,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:38,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:38,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:38,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:38,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.17, mean=0.03572, std=3.512, absmax=13.31 +2025-10-31 17:25:38,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=10.61, mean=-0.03929, std=3.03, absmax=10.61 +2025-10-31 17:25:39,254 ERROR: Encountered non-finite generator loss at iter 7962; skipping update. +2025-10-31 17:25:39,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:39,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:39,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.35, mean=-0.196, std=2.773, absmax=12.35 +2025-10-31 17:25:39,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.775, mean=-0.1892, std=2.255, absmax=10.62 +2025-10-31 17:25:39,755 ERROR: Encountered non-finite generator loss at iter 7963; skipping update. +2025-10-31 17:25:39,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:39,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:39,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:39,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:39,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.88, mean=-0.04343, std=3.217, absmax=13.06 +2025-10-31 17:25:39,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=10.39, mean=-0.0377, std=2.691, absmax=10.39 +2025-10-31 17:25:40,256 ERROR: Encountered non-finite generator loss at iter 7964; skipping update. +2025-10-31 17:25:40,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,259 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:40,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:40,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=15.44, mean=0.08516, std=3.316, absmax=15.44 +2025-10-31 17:25:40,267 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.084, max=11.27, mean=0.04062, std=2.818, absmax=11.27 +2025-10-31 17:25:40,758 ERROR: Encountered non-finite generator loss at iter 7965; skipping update. +2025-10-31 17:25:40,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:40,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:40,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:40,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:40,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.8, mean=-0.2926, std=2.803, absmax=12.85 +2025-10-31 17:25:40,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.2, mean=-0.1976, std=2.267, absmax=10.29 +2025-10-31 17:25:41,259 ERROR: Encountered non-finite generator loss at iter 7966; skipping update. +2025-10-31 17:25:41,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:41,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:41,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=15.9, mean=-0.04113, std=3.472, absmax=15.9 +2025-10-31 17:25:41,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.766, max=11.97, mean=-0.08087, std=2.87, absmax=11.97 +2025-10-31 17:25:41,761 ERROR: Encountered non-finite generator loss at iter 7967; skipping update. +2025-10-31 17:25:41,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,767 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:41,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:41,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:41,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:41,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=14.54, mean=0.03349, std=3.014, absmax=14.54 +2025-10-31 17:25:41,772 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.484, max=9.881, mean=-0.000921, std=2.531, absmax=9.881 +2025-10-31 17:25:42,265 ERROR: Encountered non-finite generator loss at iter 7968; skipping update. +2025-10-31 17:25:42,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,268 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:42,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:42,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.58, mean=-0.2085, std=2.72, absmax=12.71 +2025-10-31 17:25:42,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.508, mean=-0.2458, std=2.343, absmax=10.49 +2025-10-31 17:25:42,765 ERROR: Encountered non-finite generator loss at iter 7969; skipping update. +2025-10-31 17:25:42,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:42,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:42,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:42,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:42,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.52, mean=-0.09403, std=3.262, absmax=13.85 +2025-10-31 17:25:42,778 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.04, mean=-0.1405, std=2.687, absmax=11.04 +2025-10-31 17:25:43,269 ERROR: Encountered non-finite generator loss at iter 7970; skipping update. +2025-10-31 17:25:43,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,272 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:43,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:43,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.68, mean=-0.1297, std=3.074, absmax=12.26 +2025-10-31 17:25:43,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=7.38, mean=-0.1988, std=2.475, absmax=10.67 +2025-10-31 17:25:43,770 ERROR: Encountered non-finite generator loss at iter 7971; skipping update. +2025-10-31 17:25:43,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:43,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:43,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:43,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:43,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.14, mean=-0.07691, std=2.768, absmax=12.65 +2025-10-31 17:25:43,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.682, max=9.633, mean=-0.09147, std=2.287, absmax=9.633 +2025-10-31 17:25:44,272 ERROR: Encountered non-finite generator loss at iter 7972; skipping update. +2025-10-31 17:25:44,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:44,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:44,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=16.11, mean=0.01722, std=3.733, absmax=16.11 +2025-10-31 17:25:44,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=14.14, mean=-0.0422, std=3.056, absmax=14.14 +2025-10-31 17:25:44,775 ERROR: Encountered non-finite generator loss at iter 7973; skipping update. +2025-10-31 17:25:44,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:44,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:44,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:44,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:44,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=10.66, mean=-0.1423, std=2.834, absmax=12.71 +2025-10-31 17:25:44,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.06, mean=-0.09851, std=2.647, absmax=11.04 +2025-10-31 17:25:45,277 ERROR: Encountered non-finite generator loss at iter 7974; skipping update. +2025-10-31 17:25:45,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:45,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:45,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.44, mean=-0.1483, std=2.755, absmax=12.44 +2025-10-31 17:25:45,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.13, max=10.1, mean=-0.1219, std=2.349, absmax=10.1 +2025-10-31 17:25:45,781 ERROR: Encountered non-finite generator loss at iter 7975; skipping update. +2025-10-31 17:25:45,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,786 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:45,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:45,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:45,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:45,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.27, mean=-0.01968, std=3.134, absmax=12.59 +2025-10-31 17:25:45,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.185, max=11.79, mean=-0.03262, std=2.669, absmax=11.79 +2025-10-31 17:25:46,284 ERROR: Encountered non-finite generator loss at iter 7976; skipping update. +2025-10-31 17:25:46,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:46,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:46,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=10.11, mean=-0.3488, std=2.576, absmax=11.28 +2025-10-31 17:25:46,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=9.005, mean=-0.3113, std=2.196, absmax=9.228 +2025-10-31 17:25:46,788 ERROR: Encountered non-finite generator loss at iter 7977; skipping update. +2025-10-31 17:25:46,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:46,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:46,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:46,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:46,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.75, mean=-0.3296, std=2.825, absmax=13.75 +2025-10-31 17:25:46,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=8.909, mean=-0.3861, std=2.413, absmax=10.94 +2025-10-31 17:25:47,289 ERROR: Encountered non-finite generator loss at iter 7978; skipping update. +2025-10-31 17:25:47,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,291 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,291 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:47,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:47,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=9.665, mean=-0.2545, std=2.389, absmax=13.49 +2025-10-31 17:25:47,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.604, max=8.193, mean=-0.2602, std=2.035, absmax=9.604 +2025-10-31 17:25:47,788 ERROR: Encountered non-finite generator loss at iter 7979; skipping update. +2025-10-31 17:25:47,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:47,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:47,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:47,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:47,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.49, mean=-0.2143, std=2.848, absmax=12.14 +2025-10-31 17:25:47,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.597, max=8.482, mean=-0.1905, std=2.258, absmax=8.597 +2025-10-31 17:25:48,291 ERROR: Encountered non-finite generator loss at iter 7980; skipping update. +2025-10-31 17:25:48,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:48,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:48,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.6, mean=-0.04634, std=3.184, absmax=12.65 +2025-10-31 17:25:48,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=11.39, mean=-0.08928, std=2.836, absmax=11.55 +2025-10-31 17:25:48,798 ERROR: Encountered non-finite generator loss at iter 7981; skipping update. +2025-10-31 17:25:48,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:48,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:48,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:48,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:48,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.15, mean=-0.1543, std=3.022, absmax=13.6 +2025-10-31 17:25:48,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.43, mean=-0.1479, std=2.541, absmax=10.43 +2025-10-31 17:25:49,301 ERROR: Encountered non-finite generator loss at iter 7982; skipping update. +2025-10-31 17:25:49,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:49,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:49,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.48, mean=-0.1293, std=2.421, absmax=11.54 +2025-10-31 17:25:49,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.078, max=7.853, mean=-0.1323, std=1.987, absmax=8.078 +2025-10-31 17:25:49,803 ERROR: Encountered non-finite generator loss at iter 7983; skipping update. +2025-10-31 17:25:49,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:49,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:49,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:49,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:49,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.24, mean=-0.166, std=2.921, absmax=13.36 +2025-10-31 17:25:49,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=10.86, mean=-0.1537, std=2.625, absmax=11.1 +2025-10-31 17:25:50,308 ERROR: Encountered non-finite generator loss at iter 7984; skipping update. +2025-10-31 17:25:50,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:50,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:50,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.1, mean=-0.2074, std=3.22, absmax=14.1 +2025-10-31 17:25:50,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=10.38, mean=-0.227, std=2.725, absmax=10.94 +2025-10-31 17:25:50,810 ERROR: Encountered non-finite generator loss at iter 7985; skipping update. +2025-10-31 17:25:50,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,813 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:50,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:50,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:50,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:50,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.61, mean=-0.03515, std=2.91, absmax=12.61 +2025-10-31 17:25:50,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=9.506, mean=-0.03029, std=2.389, absmax=10 +2025-10-31 17:25:51,314 ERROR: Encountered non-finite generator loss at iter 7986; skipping update. +2025-10-31 17:25:51,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,317 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,317 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,318 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,319 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:51,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:51,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.27, mean=-0.2076, std=3.311, absmax=15.27 +2025-10-31 17:25:51,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=11.76, mean=-0.207, std=2.796, absmax=11.76 +2025-10-31 17:25:51,818 ERROR: Encountered non-finite generator loss at iter 7987; skipping update. +2025-10-31 17:25:51,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:51,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:51,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:51,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:51,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.25, mean=0.05568, std=3.085, absmax=12.85 +2025-10-31 17:25:51,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.08, mean=0.02243, std=2.488, absmax=10.08 +2025-10-31 17:25:52,324 ERROR: Encountered non-finite generator loss at iter 7988; skipping update. +2025-10-31 17:25:52,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:52,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:52,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=13.59, mean=-0.1335, std=2.711, absmax=13.59 +2025-10-31 17:25:52,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.11, mean=-0.1328, std=2.359, absmax=10.11 +2025-10-31 17:25:52,827 ERROR: Encountered non-finite generator loss at iter 7989; skipping update. +2025-10-31 17:25:52,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,830 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:52,831 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:52,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:52,833 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:52,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.43, mean=-0.1819, std=2.903, absmax=14.43 +2025-10-31 17:25:52,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.436, max=11.59, mean=-0.1512, std=2.38, absmax=11.59 +2025-10-31 17:25:53,328 ERROR: Encountered non-finite generator loss at iter 7990; skipping update. +2025-10-31 17:25:53,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:53,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:53,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=13.8, mean=0.02815, std=3.202, absmax=13.8 +2025-10-31 17:25:53,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=12.91, mean=0.02473, std=2.761, absmax=12.91 +2025-10-31 17:25:53,832 ERROR: Encountered non-finite generator loss at iter 7991; skipping update. +2025-10-31 17:25:53,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:53,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:53,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:53,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:53,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=13.9, mean=-0.002477, std=3.327, absmax=14.68 +2025-10-31 17:25:53,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.48, mean=-0.00758, std=2.799, absmax=11.48 +2025-10-31 17:25:54,335 ERROR: Encountered non-finite generator loss at iter 7992; skipping update. +2025-10-31 17:25:54,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:54,342 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:54,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.98, mean=-0.1217, std=2.671, absmax=11.3 +2025-10-31 17:25:54,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.574, mean=-0.1281, std=2.277, absmax=10.26 +2025-10-31 17:25:54,838 ERROR: Encountered non-finite generator loss at iter 7993; skipping update. +2025-10-31 17:25:54,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:54,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:54,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:54,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:54,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=16.2, mean=-0.0876, std=2.686, absmax=16.2 +2025-10-31 17:25:54,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=9.877, mean=-0.09038, std=2.365, absmax=11.56 +2025-10-31 17:25:55,341 ERROR: Encountered non-finite generator loss at iter 7994; skipping update. +2025-10-31 17:25:55,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:55,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:55,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.86, mean=-0.1545, std=3.049, absmax=12.55 +2025-10-31 17:25:55,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.533, mean=-0.1936, std=2.577, absmax=10.3 +2025-10-31 17:25:55,845 ERROR: Encountered non-finite generator loss at iter 7995; skipping update. +2025-10-31 17:25:55,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:55,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:55,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:55,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:55,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.57, mean=-0.1916, std=3.08, absmax=13.29 +2025-10-31 17:25:55,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=8.347, mean=-0.1993, std=2.536, absmax=12.23 +2025-10-31 17:25:56,348 ERROR: Encountered non-finite generator loss at iter 7996; skipping update. +2025-10-31 17:25:56,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:56,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:56,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.11, mean=-0.2226, std=2.799, absmax=12.62 +2025-10-31 17:25:56,358 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.984, mean=-0.2455, std=2.391, absmax=10.59 +2025-10-31 17:25:56,852 ERROR: Encountered non-finite generator loss at iter 7997; skipping update. +2025-10-31 17:25:56,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,858 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:56,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:56,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:56,861 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:56,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.58, mean=-0.2531, std=3.01, absmax=12.71 +2025-10-31 17:25:56,863 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=9.234, mean=-0.1966, std=2.532, absmax=12.26 +2025-10-31 17:25:57,358 ERROR: Encountered non-finite generator loss at iter 7998; skipping update. +2025-10-31 17:25:57,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,361 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,362 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,363 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,364 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:57,365 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:57,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.73, mean=-0.1909, std=3.129, absmax=12.73 +2025-10-31 17:25:57,367 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=9.807, mean=-0.1964, std=2.843, absmax=11.49 +2025-10-31 17:25:57,862 ERROR: Encountered non-finite generator loss at iter 7999; skipping update. +2025-10-31 17:25:57,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,864 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:57,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:57,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:57,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:57,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.39, mean=-0.02979, std=3.267, absmax=14.26 +2025-10-31 17:25:57,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=10.61, mean=-0.03106, std=2.737, absmax=11.4 +2025-10-31 17:25:58,364 ERROR: Encountered non-finite generator loss at iter 8000; skipping update. +2025-10-31 17:25:58,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,367 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:58,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:58,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=11.6, mean=-0.1913, std=2.847, absmax=15.19 +2025-10-31 17:25:58,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.75, mean=-0.1976, std=2.396, absmax=10.75 +2025-10-31 17:25:58,376 INFO: [29..][epoch: 0, step: 8,000, lr:(1.500e-04,)] [eta: 1 day, 17:18:58, time (data): 0.503 (0.000)] +2025-10-31 17:25:58,870 ERROR: Encountered non-finite generator loss at iter 8001; skipping update. +2025-10-31 17:25:58,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:58,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:58,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:58,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:58,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=15.89, mean=0.08889, std=3.247, absmax=15.89 +2025-10-31 17:25:58,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.39, mean=0.01829, std=2.684, absmax=11.39 +2025-10-31 17:25:59,375 ERROR: Encountered non-finite generator loss at iter 8002; skipping update. +2025-10-31 17:25:59,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:59,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:59,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.21, mean=-0.1258, std=3.263, absmax=12.57 +2025-10-31 17:25:59,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.065, max=9.617, mean=-0.1088, std=2.636, absmax=9.617 +2025-10-31 17:25:59,878 ERROR: Encountered non-finite generator loss at iter 8003; skipping update. +2025-10-31 17:25:59,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:25:59,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:25:59,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:25:59,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:25:59,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.1, mean=-0.2124, std=2.789, absmax=12.1 +2025-10-31 17:25:59,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=8.211, mean=-0.156, std=2.432, absmax=9.309 +2025-10-31 17:26:00,381 ERROR: Encountered non-finite generator loss at iter 8004; skipping update. +2025-10-31 17:26:00,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:00,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:00,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=14.14, mean=-0.1248, std=2.954, absmax=14.14 +2025-10-31 17:26:00,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.717, max=11.23, mean=-0.08663, std=2.494, absmax=11.23 +2025-10-31 17:26:00,883 ERROR: Encountered non-finite generator loss at iter 8005; skipping update. +2025-10-31 17:26:00,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:00,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:00,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:00,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:00,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.35, mean=0.1153, std=3.464, absmax=14.35 +2025-10-31 17:26:00,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=12.83, mean=0.09352, std=3.04, absmax=12.83 +2025-10-31 17:26:01,388 ERROR: Encountered non-finite generator loss at iter 8006; skipping update. +2025-10-31 17:26:01,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:01,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:01,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.73, mean=-0.09065, std=3.05, absmax=13.73 +2025-10-31 17:26:01,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.81, max=10.56, mean=-0.1422, std=2.542, absmax=10.56 +2025-10-31 17:26:01,891 ERROR: Encountered non-finite generator loss at iter 8007; skipping update. +2025-10-31 17:26:01,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,895 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,897 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:01,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:01,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:01,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:01,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.4, mean=-0.2505, std=2.718, absmax=12.82 +2025-10-31 17:26:01,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.729, mean=-0.2304, std=2.257, absmax=10.16 +2025-10-31 17:26:02,396 ERROR: Encountered non-finite generator loss at iter 8008; skipping update. +2025-10-31 17:26:02,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:02,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:02,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=14.21, mean=-0.1939, std=3.078, absmax=15.27 +2025-10-31 17:26:02,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.202, mean=-0.2013, std=2.565, absmax=11.29 +2025-10-31 17:26:02,899 ERROR: Encountered non-finite generator loss at iter 8009; skipping update. +2025-10-31 17:26:02,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:02,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:02,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:02,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:02,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.82, mean=-0.2324, std=3.317, absmax=14.82 +2025-10-31 17:26:02,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=10.7, mean=-0.2479, std=2.908, absmax=11.86 +2025-10-31 17:26:03,405 ERROR: Encountered non-finite generator loss at iter 8010; skipping update. +2025-10-31 17:26:03,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:03,412 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:03,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.99, mean=0.06439, std=3.444, absmax=12.99 +2025-10-31 17:26:03,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.99, mean=0.04112, std=2.92, absmax=11.99 +2025-10-31 17:26:03,908 ERROR: Encountered non-finite generator loss at iter 8011; skipping update. +2025-10-31 17:26:03,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,911 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,912 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,913 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:03,914 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:03,915 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:03,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:03,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.83, mean=-0.1571, std=2.971, absmax=13.83 +2025-10-31 17:26:03,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=11.4, mean=-0.2038, std=2.418, absmax=11.43 +2025-10-31 17:26:04,412 ERROR: Encountered non-finite generator loss at iter 8012; skipping update. +2025-10-31 17:26:04,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:04,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:04,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=11.55, mean=-0.2108, std=2.419, absmax=11.55 +2025-10-31 17:26:04,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=8.54, mean=-0.2047, std=2.124, absmax=10.18 +2025-10-31 17:26:04,916 ERROR: Encountered non-finite generator loss at iter 8013; skipping update. +2025-10-31 17:26:04,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,919 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,920 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,921 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:04,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:04,923 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:04,924 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:04,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.51, mean=-0.2611, std=2.921, absmax=14.51 +2025-10-31 17:26:04,926 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=9.058, mean=-0.2288, std=2.311, absmax=10.52 +2025-10-31 17:26:05,420 ERROR: Encountered non-finite generator loss at iter 8014; skipping update. +2025-10-31 17:26:05,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,423 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,424 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:05,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:05,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=16.74, mean=0.03976, std=3.115, absmax=16.74 +2025-10-31 17:26:05,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.11, max=13.6, mean=0.007362, std=2.604, absmax=14.11 +2025-10-31 17:26:05,925 ERROR: Encountered non-finite generator loss at iter 8015; skipping update. +2025-10-31 17:26:05,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,930 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:05,931 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:05,932 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:05,933 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:05,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.14, mean=-0.1594, std=3.363, absmax=14.14 +2025-10-31 17:26:05,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.67, mean=-0.1895, std=2.579, absmax=10.67 +2025-10-31 17:26:06,429 ERROR: Encountered non-finite generator loss at iter 8016; skipping update. +2025-10-31 17:26:06,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,432 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:06,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:06,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.44, mean=-0.04836, std=2.566, absmax=12.44 +2025-10-31 17:26:06,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.013, max=10.13, mean=-0.06235, std=2.187, absmax=10.13 +2025-10-31 17:26:06,932 ERROR: Encountered non-finite generator loss at iter 8017; skipping update. +2025-10-31 17:26:06,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:06,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:06,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:06,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:06,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.01, mean=-0.1219, std=2.704, absmax=13.3 +2025-10-31 17:26:06,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=8.202, mean=-0.1205, std=2.332, absmax=9.269 +2025-10-31 17:26:07,436 ERROR: Encountered non-finite generator loss at iter 8018; skipping update. +2025-10-31 17:26:07,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:07,443 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:07,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.92, mean=-0.2838, std=2.771, absmax=11.92 +2025-10-31 17:26:07,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=7.721, mean=-0.2942, std=2.354, absmax=10.47 +2025-10-31 17:26:07,940 ERROR: Encountered non-finite generator loss at iter 8019; skipping update. +2025-10-31 17:26:07,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:07,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:07,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:07,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:07,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.12, mean=-0.1131, std=2.922, absmax=13.12 +2025-10-31 17:26:07,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=12.2, mean=-0.08156, std=2.62, absmax=12.2 +2025-10-31 17:26:08,444 ERROR: Encountered non-finite generator loss at iter 8020; skipping update. +2025-10-31 17:26:08,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:08,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:08,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=12.83, mean=0.01813, std=2.647, absmax=12.83 +2025-10-31 17:26:08,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.288, max=10.5, mean=-0.02594, std=2.304, absmax=10.5 +2025-10-31 17:26:08,948 ERROR: Encountered non-finite generator loss at iter 8021; skipping update. +2025-10-31 17:26:08,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,954 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:08,955 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:08,956 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:08,957 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:08,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.99, mean=-0.02929, std=3.035, absmax=12.38 +2025-10-31 17:26:08,959 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.1, max=9.283, mean=-0.05789, std=2.507, absmax=9.283 +2025-10-31 17:26:09,453 ERROR: Encountered non-finite generator loss at iter 8022; skipping update. +2025-10-31 17:26:09,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:09,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:09,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=15.68, mean=0.06917, std=3.162, absmax=15.68 +2025-10-31 17:26:09,463 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.681, max=11.76, mean=0.007382, std=2.661, absmax=11.76 +2025-10-31 17:26:09,957 ERROR: Encountered non-finite generator loss at iter 8023; skipping update. +2025-10-31 17:26:09,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:09,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:09,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:09,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:09,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.71, mean=-0.0599, std=3.024, absmax=12.95 +2025-10-31 17:26:09,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.157, mean=-0.0783, std=2.483, absmax=10.08 +2025-10-31 17:26:10,461 ERROR: Encountered non-finite generator loss at iter 8024; skipping update. +2025-10-31 17:26:10,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:10,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:10,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=13.25, mean=-0.3561, std=3.663, absmax=15.5 +2025-10-31 17:26:10,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.13, max=9.653, mean=-0.3047, std=3.167, absmax=13.13 +2025-10-31 17:26:10,962 ERROR: Encountered non-finite generator loss at iter 8025; skipping update. +2025-10-31 17:26:10,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:10,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:10,969 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:10,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:10,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.18, mean=-0.2869, std=2.716, absmax=12.18 +2025-10-31 17:26:10,972 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.742, mean=-0.295, std=2.283, absmax=10.22 +2025-10-31 17:26:11,466 ERROR: Encountered non-finite generator loss at iter 8026; skipping update. +2025-10-31 17:26:11,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:11,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:11,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.63, mean=-0.01715, std=2.961, absmax=12.59 +2025-10-31 17:26:11,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.306, max=11.63, mean=-0.01076, std=2.717, absmax=11.63 +2025-10-31 17:26:11,974 ERROR: Encountered non-finite generator loss at iter 8027; skipping update. +2025-10-31 17:26:11,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,981 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:11,982 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:11,983 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:11,984 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:11,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.42, mean=-0.2522, std=3.213, absmax=13.67 +2025-10-31 17:26:11,986 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=9.688, mean=-0.2393, std=2.561, absmax=11.55 +2025-10-31 17:26:12,479 ERROR: Encountered non-finite generator loss at iter 8028; skipping update. +2025-10-31 17:26:12,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:12,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:12,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=13.34, mean=-0.2898, std=2.66, absmax=15.66 +2025-10-31 17:26:12,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=10.64, mean=-0.2785, std=2.233, absmax=11.2 +2025-10-31 17:26:12,982 ERROR: Encountered non-finite generator loss at iter 8029; skipping update. +2025-10-31 17:26:12,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:12,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:12,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:12,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:12,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.01, mean=-0.09995, std=3.322, absmax=13.01 +2025-10-31 17:26:12,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=9.642, mean=-0.1483, std=2.824, absmax=11.79 +2025-10-31 17:26:13,486 ERROR: Encountered non-finite generator loss at iter 8030; skipping update. +2025-10-31 17:26:13,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:13,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:13,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.33, mean=-0.2497, std=3.026, absmax=13.08 +2025-10-31 17:26:13,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=8.273, mean=-0.3219, std=2.672, absmax=11.44 +2025-10-31 17:26:13,990 ERROR: Encountered non-finite generator loss at iter 8031; skipping update. +2025-10-31 17:26:13,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:13,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:13,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:13,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:13,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=10.83, mean=-0.1923, std=2.561, absmax=13.13 +2025-10-31 17:26:13,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.59, max=8.107, mean=-0.1412, std=2.208, absmax=9.59 +2025-10-31 17:26:14,493 ERROR: Encountered non-finite generator loss at iter 8032; skipping update. +2025-10-31 17:26:14,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:14,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:14,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:14,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:14,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:14,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:14,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:14,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:14,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.97, mean=-0.07955, std=3.417, absmax=14.97 +2025-10-31 17:26:14,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=10.83, mean=-0.1291, std=2.788, absmax=11.43 +2025-10-31 17:26:14,997 ERROR: Encountered non-finite generator loss at iter 8033; skipping update. +2025-10-31 17:26:14,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:15,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:15,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.98, mean=-0.1365, std=3.274, absmax=13.98 +2025-10-31 17:26:15,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=9.552, mean=-0.1658, std=2.631, absmax=12.5 +2025-10-31 17:26:15,503 ERROR: Encountered non-finite generator loss at iter 8034; skipping update. +2025-10-31 17:26:15,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:15,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:15,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:15,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:15,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.37, mean=-0.231, std=2.965, absmax=14.07 +2025-10-31 17:26:15,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.089, mean=-0.2342, std=2.527, absmax=10.87 +2025-10-31 17:26:16,007 ERROR: Encountered non-finite generator loss at iter 8035; skipping update. +2025-10-31 17:26:16,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:16,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:16,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14, mean=-0.1992, std=2.778, absmax=14 +2025-10-31 17:26:16,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.877, max=9.535, mean=-0.1722, std=2.229, absmax=9.877 +2025-10-31 17:26:16,510 ERROR: Encountered non-finite generator loss at iter 8036; skipping update. +2025-10-31 17:26:16,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:16,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:16,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:16,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:16,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.97, mean=-0.1672, std=3.315, absmax=12.97 +2025-10-31 17:26:16,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.26, mean=-0.1712, std=2.712, absmax=11.26 +2025-10-31 17:26:17,016 ERROR: Encountered non-finite generator loss at iter 8037; skipping update. +2025-10-31 17:26:17,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:17,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:17,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.93, mean=-0.3064, std=2.931, absmax=12.93 +2025-10-31 17:26:17,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.685, mean=-0.2978, std=2.507, absmax=10.4 +2025-10-31 17:26:17,522 ERROR: Encountered non-finite generator loss at iter 8038; skipping update. +2025-10-31 17:26:17,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:17,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:17,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:17,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:17,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.31, mean=-0.3037, std=2.833, absmax=13.31 +2025-10-31 17:26:17,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.871, mean=-0.2692, std=2.432, absmax=10.9 +2025-10-31 17:26:18,026 ERROR: Encountered non-finite generator loss at iter 8039; skipping update. +2025-10-31 17:26:18,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:18,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:18,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.56, mean=-0.2373, std=3.112, absmax=12.56 +2025-10-31 17:26:18,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=8.244, mean=-0.2641, std=2.689, absmax=10.24 +2025-10-31 17:26:18,532 ERROR: Encountered non-finite generator loss at iter 8040; skipping update. +2025-10-31 17:26:18,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:18,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:18,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:18,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:18,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.27, mean=-0.2027, std=3.009, absmax=12.93 +2025-10-31 17:26:18,540 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=8.524, mean=-0.1701, std=2.632, absmax=11.02 +2025-10-31 17:26:19,036 ERROR: Encountered non-finite generator loss at iter 8041; skipping update. +2025-10-31 17:26:19,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,041 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,042 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,043 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,044 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:19,045 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:19,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.4, mean=-0.1729, std=3.295, absmax=13.6 +2025-10-31 17:26:19,047 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.87, mean=-0.17, std=2.969, absmax=11.68 +2025-10-31 17:26:19,541 ERROR: Encountered non-finite generator loss at iter 8042; skipping update. +2025-10-31 17:26:19,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:19,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:19,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:19,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:19,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.66, mean=-0.09851, std=3.161, absmax=13.66 +2025-10-31 17:26:19,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.3, mean=-0.05625, std=2.618, absmax=10.3 +2025-10-31 17:26:20,046 ERROR: Encountered non-finite generator loss at iter 8043; skipping update. +2025-10-31 17:26:20,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,049 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:20,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:20,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.8, mean=-0.1947, std=2.914, absmax=13.8 +2025-10-31 17:26:20,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.955, max=10.51, mean=-0.1902, std=2.363, absmax=10.51 +2025-10-31 17:26:20,549 ERROR: Encountered non-finite generator loss at iter 8044; skipping update. +2025-10-31 17:26:20,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:20,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:20,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:20,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:20,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=15.43, mean=-0.1147, std=2.647, absmax=15.43 +2025-10-31 17:26:20,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=9.914, mean=-0.108, std=2.272, absmax=9.914 +2025-10-31 17:26:21,062 ERROR: Encountered non-finite generator loss at iter 8045; skipping update. +2025-10-31 17:26:21,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,064 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,065 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,068 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:21,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:21,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=15.42, mean=0.0756, std=3.209, absmax=15.42 +2025-10-31 17:26:21,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=12.14, mean=0.0179, std=2.597, absmax=12.14 +2025-10-31 17:26:21,568 ERROR: Encountered non-finite generator loss at iter 8046; skipping update. +2025-10-31 17:26:21,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:21,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:21,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:21,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:21,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.06, mean=-0.1341, std=2.918, absmax=14.06 +2025-10-31 17:26:21,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.796, max=10.29, mean=-0.1017, std=2.563, absmax=10.29 +2025-10-31 17:26:22,074 ERROR: Encountered non-finite generator loss at iter 8047; skipping update. +2025-10-31 17:26:22,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:22,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:22,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=14.88, mean=-0.1286, std=3.148, absmax=14.88 +2025-10-31 17:26:22,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=12.32, mean=-0.1185, std=2.668, absmax=12.32 +2025-10-31 17:26:22,576 ERROR: Encountered non-finite generator loss at iter 8048; skipping update. +2025-10-31 17:26:22,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:22,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:22,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:22,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:22,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.75, mean=-0.2834, std=3.205, absmax=12.87 +2025-10-31 17:26:22,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.66, mean=-0.2832, std=2.647, absmax=11.51 +2025-10-31 17:26:23,081 ERROR: Encountered non-finite generator loss at iter 8049; skipping update. +2025-10-31 17:26:23,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,083 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:23,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:23,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=10.43, mean=-0.1292, std=2.718, absmax=11.44 +2025-10-31 17:26:23,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.083, max=7.437, mean=-0.1059, std=2.28, absmax=9.083 +2025-10-31 17:26:23,587 ERROR: Encountered non-finite generator loss at iter 8050; skipping update. +2025-10-31 17:26:23,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:23,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:23,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:23,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:23,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.7, mean=-0.00878, std=3.035, absmax=12.7 +2025-10-31 17:26:23,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.785, max=11.2, mean=0.007898, std=2.667, absmax=11.2 +2025-10-31 17:26:24,089 ERROR: Encountered non-finite generator loss at iter 8051; skipping update. +2025-10-31 17:26:24,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:24,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:24,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=11.07, mean=-0.15, std=3.07, absmax=14.69 +2025-10-31 17:26:24,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=9.962, mean=-0.1669, std=2.61, absmax=11.07 +2025-10-31 17:26:24,593 ERROR: Encountered non-finite generator loss at iter 8052; skipping update. +2025-10-31 17:26:24,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,596 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:24,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:24,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:24,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:24,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.46, mean=-0.05439, std=3.016, absmax=13.46 +2025-10-31 17:26:24,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.21, max=10.95, mean=-0.05765, std=2.536, absmax=13.21 +2025-10-31 17:26:25,096 ERROR: Encountered non-finite generator loss at iter 8053; skipping update. +2025-10-31 17:26:25,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:25,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:25,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.86, mean=-0.1275, std=3.168, absmax=13.54 +2025-10-31 17:26:25,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.55, mean=-0.1565, std=2.658, absmax=10.55 +2025-10-31 17:26:25,600 ERROR: Encountered non-finite generator loss at iter 8054; skipping update. +2025-10-31 17:26:25,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:25,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:25,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:25,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:25,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=19, mean=-0.2307, std=3.126, absmax=19 +2025-10-31 17:26:25,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.26, mean=-0.2553, std=2.604, absmax=11.26 +2025-10-31 17:26:26,104 ERROR: Encountered non-finite generator loss at iter 8055; skipping update. +2025-10-31 17:26:26,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:26,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:26,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.83, mean=-0.2185, std=2.756, absmax=11.94 +2025-10-31 17:26:26,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.201, mean=-0.1916, std=2.423, absmax=10.49 +2025-10-31 17:26:26,608 ERROR: Encountered non-finite generator loss at iter 8056; skipping update. +2025-10-31 17:26:26,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:26,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:26,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:26,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:26,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.68, max=11.02, mean=-0.2248, std=2.98, absmax=15.68 +2025-10-31 17:26:26,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=7.999, mean=-0.24, std=2.436, absmax=10.75 +2025-10-31 17:26:27,112 ERROR: Encountered non-finite generator loss at iter 8057; skipping update. +2025-10-31 17:26:27,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:27,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:27,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.26, mean=-0.2129, std=3.13, absmax=13.26 +2025-10-31 17:26:27,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=8.335, mean=-0.2188, std=2.612, absmax=10.89 +2025-10-31 17:26:27,615 ERROR: Encountered non-finite generator loss at iter 8058; skipping update. +2025-10-31 17:26:27,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:27,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:27,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:27,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:27,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.12, mean=-0.08465, std=3.15, absmax=14.24 +2025-10-31 17:26:27,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=8.177, mean=-0.1278, std=2.55, absmax=11.31 +2025-10-31 17:26:28,119 ERROR: Encountered non-finite generator loss at iter 8059; skipping update. +2025-10-31 17:26:28,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:28,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:28,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.85, mean=-0.2157, std=2.818, absmax=12.3 +2025-10-31 17:26:28,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.924, max=8.044, mean=-0.194, std=2.336, absmax=9.924 +2025-10-31 17:26:28,623 ERROR: Encountered non-finite generator loss at iter 8060; skipping update. +2025-10-31 17:26:28,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:28,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:28,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:28,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:28,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.63, mean=0.04806, std=3.032, absmax=13.85 +2025-10-31 17:26:28,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=10.48, mean=0.09014, std=2.404, absmax=10.81 +2025-10-31 17:26:29,127 ERROR: Encountered non-finite generator loss at iter 8061; skipping update. +2025-10-31 17:26:29,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:29,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:29,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.2, mean=-0.2514, std=3.04, absmax=13.53 +2025-10-31 17:26:29,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=9.453, mean=-0.2586, std=2.688, absmax=12.47 +2025-10-31 17:26:29,634 ERROR: Encountered non-finite generator loss at iter 8062; skipping update. +2025-10-31 17:26:29,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,638 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:29,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:29,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:29,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:29,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.01, mean=0.07709, std=3.697, absmax=13.01 +2025-10-31 17:26:29,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.942, max=11.32, mean=0.03173, std=3.063, absmax=11.32 +2025-10-31 17:26:30,138 ERROR: Encountered non-finite generator loss at iter 8063; skipping update. +2025-10-31 17:26:30,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:30,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:30,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.34, mean=-0.2065, std=3.125, absmax=13.92 +2025-10-31 17:26:30,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=9.256, mean=-0.2145, std=2.586, absmax=12.19 +2025-10-31 17:26:30,644 ERROR: Encountered non-finite generator loss at iter 8064; skipping update. +2025-10-31 17:26:30,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:30,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:30,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:30,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:30,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=11.54, mean=-0.2285, std=2.846, absmax=13.95 +2025-10-31 17:26:30,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.92, max=9.07, mean=-0.1708, std=2.561, absmax=12.92 +2025-10-31 17:26:31,147 ERROR: Encountered non-finite generator loss at iter 8065; skipping update. +2025-10-31 17:26:31,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:31,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:31,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=16.18, mean=-0.1434, std=2.782, absmax=16.18 +2025-10-31 17:26:31,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.405, max=9.981, mean=-0.1585, std=2.285, absmax=9.981 +2025-10-31 17:26:31,651 ERROR: Encountered non-finite generator loss at iter 8066; skipping update. +2025-10-31 17:26:31,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:31,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:31,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:31,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:31,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.44, mean=-0.05643, std=2.827, absmax=12.7 +2025-10-31 17:26:31,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.818, max=11.07, mean=-0.09265, std=2.398, absmax=11.07 +2025-10-31 17:26:32,154 ERROR: Encountered non-finite generator loss at iter 8067; skipping update. +2025-10-31 17:26:32,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,158 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:32,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:32,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.21, mean=0.005078, std=3.254, absmax=12.94 +2025-10-31 17:26:32,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.384, max=9.869, mean=-0.01578, std=2.698, absmax=9.869 +2025-10-31 17:26:32,657 ERROR: Encountered non-finite generator loss at iter 8068; skipping update. +2025-10-31 17:26:32,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:32,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:32,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:32,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:32,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=12.51, mean=-0.157, std=3.14, absmax=14.38 +2025-10-31 17:26:32,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.346, mean=-0.1664, std=2.568, absmax=11.12 +2025-10-31 17:26:33,159 ERROR: Encountered non-finite generator loss at iter 8069; skipping update. +2025-10-31 17:26:33,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,162 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,163 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:33,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:33,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.58, mean=-0.2943, std=3.057, absmax=12.99 +2025-10-31 17:26:33,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.603, max=8.408, mean=-0.3121, std=2.47, absmax=9.603 +2025-10-31 17:26:33,662 ERROR: Encountered non-finite generator loss at iter 8070; skipping update. +2025-10-31 17:26:33,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:33,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:33,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:33,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:33,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.87, mean=-0.1209, std=3.225, absmax=14.45 +2025-10-31 17:26:33,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.87, mean=-0.1301, std=2.64, absmax=11.6 +2025-10-31 17:26:34,166 ERROR: Encountered non-finite generator loss at iter 8071; skipping update. +2025-10-31 17:26:34,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,169 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,172 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:34,173 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:34,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.19, mean=-0.1784, std=2.757, absmax=13.04 +2025-10-31 17:26:34,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=8.935, mean=-0.1643, std=2.372, absmax=9.242 +2025-10-31 17:26:34,669 ERROR: Encountered non-finite generator loss at iter 8072; skipping update. +2025-10-31 17:26:34,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:34,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:34,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:34,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:34,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.89, mean=-0.1509, std=3.313, absmax=13.89 +2025-10-31 17:26:34,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=8.526, mean=-0.1549, std=2.649, absmax=10.12 +2025-10-31 17:26:35,170 ERROR: Encountered non-finite generator loss at iter 8073; skipping update. +2025-10-31 17:26:35,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:35,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:35,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.21, mean=-0.1553, std=2.708, absmax=12.21 +2025-10-31 17:26:35,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.471, max=8.295, mean=-0.1738, std=2.192, absmax=8.471 +2025-10-31 17:26:35,672 ERROR: Encountered non-finite generator loss at iter 8074; skipping update. +2025-10-31 17:26:35,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,675 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,675 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:35,676 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:35,677 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:35,678 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:35,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.22, mean=-0.1815, std=3.375, absmax=13.38 +2025-10-31 17:26:35,680 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=10.32, mean=-0.1506, std=2.83, absmax=11.4 +2025-10-31 17:26:36,173 ERROR: Encountered non-finite generator loss at iter 8075; skipping update. +2025-10-31 17:26:36,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,178 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,179 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:36,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:36,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.07, mean=-0.3193, std=3.512, absmax=14.11 +2025-10-31 17:26:36,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.82, mean=-0.2811, std=2.926, absmax=11.66 +2025-10-31 17:26:36,675 ERROR: Encountered non-finite generator loss at iter 8076; skipping update. +2025-10-31 17:26:36,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:36,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:36,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:36,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:36,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.45, mean=-0.1692, std=3.39, absmax=14.45 +2025-10-31 17:26:36,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=11.9, mean=-0.1392, std=2.805, absmax=12.11 +2025-10-31 17:26:37,177 ERROR: Encountered non-finite generator loss at iter 8077; skipping update. +2025-10-31 17:26:37,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,179 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:37,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:37,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=15.66, mean=-0.2593, std=3.095, absmax=15.66 +2025-10-31 17:26:37,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.33, mean=-0.2331, std=2.437, absmax=10.45 +2025-10-31 17:26:37,677 ERROR: Encountered non-finite generator loss at iter 8078; skipping update. +2025-10-31 17:26:37,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:37,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:37,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:37,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:37,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.42, mean=-0.1864, std=3.403, absmax=12.86 +2025-10-31 17:26:37,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.066, mean=-0.2062, std=2.872, absmax=10.3 +2025-10-31 17:26:38,179 ERROR: Encountered non-finite generator loss at iter 8079; skipping update. +2025-10-31 17:26:38,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:38,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:38,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.7, mean=-0.1887, std=2.761, absmax=13.94 +2025-10-31 17:26:38,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.399, max=9.548, mean=-0.1781, std=2.316, absmax=9.548 +2025-10-31 17:26:38,681 ERROR: Encountered non-finite generator loss at iter 8080; skipping update. +2025-10-31 17:26:38,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:38,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:38,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:38,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:38,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.39, mean=-0.1748, std=3.58, absmax=12.89 +2025-10-31 17:26:38,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=9.067, mean=-0.1798, std=2.975, absmax=11.9 +2025-10-31 17:26:39,183 ERROR: Encountered non-finite generator loss at iter 8081; skipping update. +2025-10-31 17:26:39,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:39,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:39,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=16.29, mean=-0.3538, std=2.372, absmax=16.29 +2025-10-31 17:26:39,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.696, max=10.84, mean=-0.3518, std=2.271, absmax=10.84 +2025-10-31 17:26:39,682 ERROR: Encountered non-finite generator loss at iter 8082; skipping update. +2025-10-31 17:26:39,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,685 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:39,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:39,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:39,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:39,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=14.95, mean=0.1664, std=3.367, absmax=15.05 +2025-10-31 17:26:39,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=12.93, mean=0.09618, std=2.866, absmax=12.93 +2025-10-31 17:26:40,184 ERROR: Encountered non-finite generator loss at iter 8083; skipping update. +2025-10-31 17:26:40,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:40,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:40,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.12, mean=-0.2777, std=3.06, absmax=12.87 +2025-10-31 17:26:40,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=11.13, mean=-0.2798, std=2.448, absmax=11.13 +2025-10-31 17:26:40,685 ERROR: Encountered non-finite generator loss at iter 8084; skipping update. +2025-10-31 17:26:40,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:40,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:40,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:40,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:40,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.28, mean=-0.2072, std=3.194, absmax=13.82 +2025-10-31 17:26:40,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.4, mean=-0.1869, std=2.52, absmax=10.64 +2025-10-31 17:26:41,187 ERROR: Encountered non-finite generator loss at iter 8085; skipping update. +2025-10-31 17:26:41,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:41,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:41,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=15.46, mean=-0.2674, std=3.568, absmax=15.46 +2025-10-31 17:26:41,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-16.16, max=11.54, mean=-0.2552, std=3.172, absmax=16.16 +2025-10-31 17:26:41,689 ERROR: Encountered non-finite generator loss at iter 8086; skipping update. +2025-10-31 17:26:41,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:41,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:41,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:41,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:41,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.04, max=13.75, mean=0.004777, std=3.486, absmax=16.04 +2025-10-31 17:26:41,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.94, mean=0.01157, std=2.948, absmax=11.83 +2025-10-31 17:26:42,192 ERROR: Encountered non-finite generator loss at iter 8087; skipping update. +2025-10-31 17:26:42,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:42,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:42,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.77, mean=-0.1385, std=3.338, absmax=14.77 +2025-10-31 17:26:42,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.52, max=10.46, mean=-0.05726, std=2.708, absmax=10.46 +2025-10-31 17:26:42,694 ERROR: Encountered non-finite generator loss at iter 8088; skipping update. +2025-10-31 17:26:42,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:42,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:42,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:42,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:42,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.3, mean=-0.2112, std=2.862, absmax=13.29 +2025-10-31 17:26:42,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=8.215, mean=-0.1762, std=2.403, absmax=11.26 +2025-10-31 17:26:43,197 ERROR: Encountered non-finite generator loss at iter 8089; skipping update. +2025-10-31 17:26:43,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:43,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:43,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.19, mean=-0.169, std=2.761, absmax=13.19 +2025-10-31 17:26:43,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.871, mean=-0.157, std=2.216, absmax=10.23 +2025-10-31 17:26:43,699 ERROR: Encountered non-finite generator loss at iter 8090; skipping update. +2025-10-31 17:26:43,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:43,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:43,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:43,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:43,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=14.15, mean=0.1341, std=3.29, absmax=15.67 +2025-10-31 17:26:43,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.62, max=12.04, mean=0.1131, std=2.898, absmax=13.62 +2025-10-31 17:26:44,203 ERROR: Encountered non-finite generator loss at iter 8091; skipping update. +2025-10-31 17:26:44,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:44,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:44,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.54, mean=-0.05199, std=3.314, absmax=14.54 +2025-10-31 17:26:44,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.71, mean=-0.02333, std=2.736, absmax=11.19 +2025-10-31 17:26:44,707 ERROR: Encountered non-finite generator loss at iter 8092; skipping update. +2025-10-31 17:26:44,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:44,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:44,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:44,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:44,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.86, mean=-0.1568, std=2.738, absmax=12.86 +2025-10-31 17:26:44,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.484, max=10.01, mean=-0.1871, std=2.314, absmax=10.01 +2025-10-31 17:26:45,214 ERROR: Encountered non-finite generator loss at iter 8093; skipping update. +2025-10-31 17:26:45,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,216 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:45,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:45,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.98, mean=-0.05754, std=3.033, absmax=12.98 +2025-10-31 17:26:45,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=8.343, mean=-0.03581, std=2.513, absmax=10 +2025-10-31 17:26:45,719 ERROR: Encountered non-finite generator loss at iter 8094; skipping update. +2025-10-31 17:26:45,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:45,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:45,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:45,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:45,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=13.31, mean=-0.2019, std=2.955, absmax=13.31 +2025-10-31 17:26:45,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.468, max=9.309, mean=-0.258, std=2.382, absmax=9.468 +2025-10-31 17:26:46,223 ERROR: Encountered non-finite generator loss at iter 8095; skipping update. +2025-10-31 17:26:46,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,226 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:46,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:46,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=13.13, mean=-0.1386, std=2.884, absmax=14.06 +2025-10-31 17:26:46,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.906, max=8.931, mean=-0.1924, std=2.41, absmax=9.906 +2025-10-31 17:26:46,728 ERROR: Encountered non-finite generator loss at iter 8096; skipping update. +2025-10-31 17:26:46,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:46,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:46,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:46,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:46,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=11.4, mean=-0.2506, std=2.522, absmax=11.9 +2025-10-31 17:26:46,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=7.41, mean=-0.2467, std=2.116, absmax=11.66 +2025-10-31 17:26:47,233 ERROR: Encountered non-finite generator loss at iter 8097; skipping update. +2025-10-31 17:26:47,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:47,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:47,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=9.393, mean=-0.1864, std=2.535, absmax=14.03 +2025-10-31 17:26:47,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=7.561, mean=-0.1992, std=2.174, absmax=9.401 +2025-10-31 17:26:47,761 ERROR: Encountered non-finite generator loss at iter 8098; skipping update. +2025-10-31 17:26:47,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,763 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:47,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:47,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:47,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:47,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.73, mean=-0.2303, std=3.296, absmax=13.73 +2025-10-31 17:26:47,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.831, mean=-0.2043, std=2.758, absmax=11.39 +2025-10-31 17:26:48,268 ERROR: Encountered non-finite generator loss at iter 8099; skipping update. +2025-10-31 17:26:48,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:48,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:48,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.95, mean=-0.2052, std=2.581, absmax=13.95 +2025-10-31 17:26:48,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.213, max=8.467, mean=-0.2297, std=2.158, absmax=9.213 +2025-10-31 17:26:48,774 ERROR: Encountered non-finite generator loss at iter 8100; skipping update. +2025-10-31 17:26:48,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:48,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:48,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:48,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:48,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=17.63, mean=-0.1023, std=3.265, absmax=17.63 +2025-10-31 17:26:48,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.74, mean=-0.1416, std=2.742, absmax=11.74 +2025-10-31 17:26:48,785 INFO: [29..][epoch: 0, step: 8,100, lr:(1.500e-04,)] [eta: 1 day, 17:12:27, time (data): 0.504 (0.000)] +2025-10-31 17:26:49,278 ERROR: Encountered non-finite generator loss at iter 8101; skipping update. +2025-10-31 17:26:49,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,283 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:49,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:49,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.56, mean=-0.407, std=2.746, absmax=13.56 +2025-10-31 17:26:49,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.639, mean=-0.3751, std=2.259, absmax=10.29 +2025-10-31 17:26:49,780 ERROR: Encountered non-finite generator loss at iter 8102; skipping update. +2025-10-31 17:26:49,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,783 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:49,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:49,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:49,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:49,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.31, mean=-0.06337, std=2.53, absmax=11.98 +2025-10-31 17:26:49,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=8.989, mean=-0.07129, std=2.293, absmax=9.559 +2025-10-31 17:26:50,282 ERROR: Encountered non-finite generator loss at iter 8103; skipping update. +2025-10-31 17:26:50,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,285 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,285 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,287 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:50,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:50,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.11, mean=-0.1629, std=2.596, absmax=13.11 +2025-10-31 17:26:50,292 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.24, mean=-0.1591, std=2.201, absmax=11.04 +2025-10-31 17:26:50,786 ERROR: Encountered non-finite generator loss at iter 8104; skipping update. +2025-10-31 17:26:50,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,789 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:50,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:50,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:50,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:50,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=17.12, mean=0.2009, std=3.8, absmax=17.12 +2025-10-31 17:26:50,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=14.49, mean=0.1759, std=3.277, absmax=14.49 +2025-10-31 17:26:51,291 ERROR: Encountered non-finite generator loss at iter 8105; skipping update. +2025-10-31 17:26:51,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:51,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:51,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.14, mean=-0.1316, std=2.586, absmax=12.14 +2025-10-31 17:26:51,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.797, max=9.371, mean=-0.1517, std=2.203, absmax=9.371 +2025-10-31 17:26:51,794 ERROR: Encountered non-finite generator loss at iter 8106; skipping update. +2025-10-31 17:26:51,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:51,799 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:51,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:51,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:51,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.87, mean=-0.2579, std=2.896, absmax=13.87 +2025-10-31 17:26:51,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.285, mean=-0.2248, std=2.377, absmax=10.34 +2025-10-31 17:26:52,300 ERROR: Encountered non-finite generator loss at iter 8107; skipping update. +2025-10-31 17:26:52,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:52,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:52,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.88, mean=0.1547, std=3.546, absmax=13.88 +2025-10-31 17:26:52,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=12.35, mean=0.08158, std=3.012, absmax=12.35 +2025-10-31 17:26:52,806 ERROR: Encountered non-finite generator loss at iter 8108; skipping update. +2025-10-31 17:26:52,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:52,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:52,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:52,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:52,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.29, mean=-0.1825, std=3.108, absmax=13.63 +2025-10-31 17:26:52,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=11.22, mean=-0.1504, std=2.501, absmax=11.22 +2025-10-31 17:26:53,308 ERROR: Encountered non-finite generator loss at iter 8109; skipping update. +2025-10-31 17:26:53,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:53,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:53,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=16.28, mean=-0.1847, std=2.908, absmax=16.28 +2025-10-31 17:26:53,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.938, max=10.17, mean=-0.1903, std=2.379, absmax=10.17 +2025-10-31 17:26:53,813 ERROR: Encountered non-finite generator loss at iter 8110; skipping update. +2025-10-31 17:26:53,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,815 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:53,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:53,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:53,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:53,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.75, mean=-0.0959, std=2.927, absmax=12.75 +2025-10-31 17:26:53,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.566, max=10.37, mean=-0.07499, std=2.317, absmax=10.37 +2025-10-31 17:26:54,316 ERROR: Encountered non-finite generator loss at iter 8111; skipping update. +2025-10-31 17:26:54,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:54,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:54,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.45, mean=-0.1694, std=3.362, absmax=13.78 +2025-10-31 17:26:54,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.37, mean=-0.1717, std=2.884, absmax=11.11 +2025-10-31 17:26:54,823 ERROR: Encountered non-finite generator loss at iter 8112; skipping update. +2025-10-31 17:26:54,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:54,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:54,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:54,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:54,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=12.81, mean=0.08081, std=3.06, absmax=14.28 +2025-10-31 17:26:54,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.859, max=9.874, mean=0.04981, std=2.505, absmax=9.874 +2025-10-31 17:26:55,327 ERROR: Encountered non-finite generator loss at iter 8113; skipping update. +2025-10-31 17:26:55,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,331 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:55,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:55,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.12, mean=-0.2228, std=3.084, absmax=11.6 +2025-10-31 17:26:55,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.247, mean=-0.2377, std=2.538, absmax=10.14 +2025-10-31 17:26:55,831 ERROR: Encountered non-finite generator loss at iter 8114; skipping update. +2025-10-31 17:26:55,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:55,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:55,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:55,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:55,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.11, mean=-0.2214, std=2.976, absmax=14.11 +2025-10-31 17:26:55,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.676, max=10.43, mean=-0.2372, std=2.325, absmax=10.43 +2025-10-31 17:26:56,335 ERROR: Encountered non-finite generator loss at iter 8115; skipping update. +2025-10-31 17:26:56,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,340 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,341 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:56,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:56,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.85, mean=-0.005071, std=3.264, absmax=13.85 +2025-10-31 17:26:56,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.95, mean=-0.007831, std=2.803, absmax=10.95 +2025-10-31 17:26:56,839 ERROR: Encountered non-finite generator loss at iter 8116; skipping update. +2025-10-31 17:26:56,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:56,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:56,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:56,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:56,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.62, mean=-0.1506, std=3.49, absmax=14.13 +2025-10-31 17:26:56,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.99, max=10.81, mean=-0.1056, std=2.946, absmax=13.99 +2025-10-31 17:26:57,343 ERROR: Encountered non-finite generator loss at iter 8117; skipping update. +2025-10-31 17:26:57,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,347 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:57,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:57,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.77, mean=-0.1551, std=2.924, absmax=12.77 +2025-10-31 17:26:57,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.307, mean=-0.1564, std=2.412, absmax=10.76 +2025-10-31 17:26:57,848 ERROR: Encountered non-finite generator loss at iter 8118; skipping update. +2025-10-31 17:26:57,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,854 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:57,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:57,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:57,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:57,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.39, mean=-0.1649, std=2.947, absmax=12.76 +2025-10-31 17:26:57,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.793, max=8.987, mean=-0.1421, std=2.377, absmax=9.793 +2025-10-31 17:26:58,355 ERROR: Encountered non-finite generator loss at iter 8119; skipping update. +2025-10-31 17:26:58,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:58,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:58,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.34, mean=-0.2815, std=2.256, absmax=11.99 +2025-10-31 17:26:58,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.013, max=7.494, mean=-0.2676, std=1.932, absmax=9.013 +2025-10-31 17:26:58,857 ERROR: Encountered non-finite generator loss at iter 8120; skipping update. +2025-10-31 17:26:58,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,861 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:58,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:58,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:58,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:58,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.78, mean=-0.2816, std=3.114, absmax=14.01 +2025-10-31 17:26:58,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=9.564, mean=-0.2059, std=2.677, absmax=12.1 +2025-10-31 17:26:59,360 ERROR: Encountered non-finite generator loss at iter 8121; skipping update. +2025-10-31 17:26:59,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:59,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:59,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=10.57, mean=-0.157, std=2.444, absmax=12.13 +2025-10-31 17:26:59,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=8.423, mean=-0.2048, std=2.257, absmax=10.45 +2025-10-31 17:26:59,863 ERROR: Encountered non-finite generator loss at iter 8122; skipping update. +2025-10-31 17:26:59,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:26:59,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:26:59,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:26:59,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:26:59,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=14.41, mean=-0.02028, std=3.227, absmax=14.41 +2025-10-31 17:26:59,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=13.34, mean=-0.07053, std=2.829, absmax=13.34 +2025-10-31 17:27:00,367 ERROR: Encountered non-finite generator loss at iter 8123; skipping update. +2025-10-31 17:27:00,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:00,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:00,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=15.77, mean=0.2771, std=3.944, absmax=15.88 +2025-10-31 17:27:00,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.926, max=13.43, mean=0.2541, std=3.252, absmax=13.43 +2025-10-31 17:27:00,869 ERROR: Encountered non-finite generator loss at iter 8124; skipping update. +2025-10-31 17:27:00,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,872 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:00,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:00,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:00,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:00,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=14.11, mean=0.04809, std=2.954, absmax=14.75 +2025-10-31 17:27:00,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=10.42, mean=0.06166, std=2.499, absmax=10.47 +2025-10-31 17:27:01,373 ERROR: Encountered non-finite generator loss at iter 8125; skipping update. +2025-10-31 17:27:01,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,375 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,378 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,379 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,380 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:01,381 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:01,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=14.5, mean=0.01673, std=3.501, absmax=14.5 +2025-10-31 17:27:01,383 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=12.32, mean=-0.009113, std=2.962, absmax=12.32 +2025-10-31 17:27:01,876 ERROR: Encountered non-finite generator loss at iter 8126; skipping update. +2025-10-31 17:27:01,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,878 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:01,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:01,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:01,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:01,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.17, mean=-0.1762, std=2.89, absmax=12.53 +2025-10-31 17:27:01,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.181, max=8.604, mean=-0.1604, std=2.385, absmax=9.181 +2025-10-31 17:27:02,382 ERROR: Encountered non-finite generator loss at iter 8127; skipping update. +2025-10-31 17:27:02,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:02,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:02,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.63, mean=-0.07462, std=2.879, absmax=13.63 +2025-10-31 17:27:02,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.209, max=12.49, mean=-0.1004, std=2.354, absmax=12.49 +2025-10-31 17:27:02,885 ERROR: Encountered non-finite generator loss at iter 8128; skipping update. +2025-10-31 17:27:02,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,888 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:02,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:02,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:02,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:02,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=17.83, mean=-0.06857, std=2.794, absmax=17.83 +2025-10-31 17:27:02,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.919, max=9.749, mean=-0.109, std=2.23, absmax=9.919 +2025-10-31 17:27:03,387 ERROR: Encountered non-finite generator loss at iter 8129; skipping update. +2025-10-31 17:27:03,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,390 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:03,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:03,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=13.12, mean=-0.0965, std=2.722, absmax=15.55 +2025-10-31 17:27:03,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.64, max=12.37, mean=-0.09585, std=2.468, absmax=12.64 +2025-10-31 17:27:03,888 ERROR: Encountered non-finite generator loss at iter 8130; skipping update. +2025-10-31 17:27:03,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:03,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:03,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:03,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:03,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.71, mean=-0.1026, std=3.131, absmax=13.71 +2025-10-31 17:27:03,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.94, mean=-0.08452, std=2.512, absmax=10.94 +2025-10-31 17:27:04,392 ERROR: Encountered non-finite generator loss at iter 8131; skipping update. +2025-10-31 17:27:04,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,398 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,399 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:04,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:04,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.71, max=12.2, mean=-0.2221, std=3.269, absmax=17.71 +2025-10-31 17:27:04,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.366, max=9.143, mean=-0.1633, std=2.554, absmax=9.366 +2025-10-31 17:27:04,895 ERROR: Encountered non-finite generator loss at iter 8132; skipping update. +2025-10-31 17:27:04,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:04,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:04,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:04,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:04,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.72, mean=-0.1463, std=3.716, absmax=13.72 +2025-10-31 17:27:04,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.45, mean=-0.143, std=3.152, absmax=11.66 +2025-10-31 17:27:05,398 ERROR: Encountered non-finite generator loss at iter 8133; skipping update. +2025-10-31 17:27:05,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,402 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:05,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:05,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.34, mean=-0.1649, std=2.517, absmax=11.37 +2025-10-31 17:27:05,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.865, max=7.607, mean=-0.168, std=2.17, absmax=9.865 +2025-10-31 17:27:05,901 ERROR: Encountered non-finite generator loss at iter 8134; skipping update. +2025-10-31 17:27:05,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,905 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:05,907 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:05,908 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:05,909 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:05,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.86, mean=-0.1323, std=2.982, absmax=12.45 +2025-10-31 17:27:05,911 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.286, mean=-0.1067, std=2.505, absmax=10.02 +2025-10-31 17:27:06,405 ERROR: Encountered non-finite generator loss at iter 8135; skipping update. +2025-10-31 17:27:06,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,408 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,414 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:06,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:06,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.87, mean=-0.3855, std=2.589, absmax=12.87 +2025-10-31 17:27:06,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.823, max=8.6, mean=-0.3585, std=2.299, absmax=8.823 +2025-10-31 17:27:06,909 ERROR: Encountered non-finite generator loss at iter 8136; skipping update. +2025-10-31 17:27:06,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,912 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,915 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:06,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:06,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:06,918 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:06,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=11.83, mean=-0.1306, std=2.569, absmax=13.4 +2025-10-31 17:27:06,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.866, max=8.524, mean=-0.1661, std=2.143, absmax=9.866 +2025-10-31 17:27:07,413 ERROR: Encountered non-finite generator loss at iter 8137; skipping update. +2025-10-31 17:27:07,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,415 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:07,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:07,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.18, mean=-0.3202, std=3.255, absmax=13.36 +2025-10-31 17:27:07,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.018, mean=-0.2923, std=2.732, absmax=11.59 +2025-10-31 17:27:07,915 ERROR: Encountered non-finite generator loss at iter 8138; skipping update. +2025-10-31 17:27:07,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:07,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:07,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:07,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:07,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.8, mean=-0.3208, std=2.912, absmax=14.21 +2025-10-31 17:27:07,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.81, mean=-0.307, std=2.517, absmax=10.81 +2025-10-31 17:27:08,417 ERROR: Encountered non-finite generator loss at iter 8139; skipping update. +2025-10-31 17:27:08,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:08,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:08,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.53, mean=-0.07607, std=2.761, absmax=13.53 +2025-10-31 17:27:08,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.606, max=11.52, mean=-0.1001, std=2.305, absmax=11.52 +2025-10-31 17:27:08,919 ERROR: Encountered non-finite generator loss at iter 8140; skipping update. +2025-10-31 17:27:08,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:08,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:08,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:08,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:08,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.42, mean=-0.07104, std=2.829, absmax=12.42 +2025-10-31 17:27:08,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.553, max=11.21, mean=-0.1039, std=2.575, absmax=11.21 +2025-10-31 17:27:09,421 ERROR: Encountered non-finite generator loss at iter 8141; skipping update. +2025-10-31 17:27:09,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:09,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:09,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=16.57, mean=-0.05957, std=3.49, absmax=16.57 +2025-10-31 17:27:09,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.24, mean=-0.02354, std=2.969, absmax=11.11 +2025-10-31 17:27:09,925 ERROR: Encountered non-finite generator loss at iter 8142; skipping update. +2025-10-31 17:27:09,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,927 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,928 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:09,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:09,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:09,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:09,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=11.67, mean=-0.1548, std=2.76, absmax=12.15 +2025-10-31 17:27:09,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=8.279, mean=-0.1692, std=2.294, absmax=10.66 +2025-10-31 17:27:10,428 ERROR: Encountered non-finite generator loss at iter 8143; skipping update. +2025-10-31 17:27:10,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,431 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:10,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:10,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.78, mean=-0.1386, std=2.845, absmax=13.78 +2025-10-31 17:27:10,438 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=11.08, mean=-0.1288, std=2.516, absmax=11.72 +2025-10-31 17:27:10,932 ERROR: Encountered non-finite generator loss at iter 8144; skipping update. +2025-10-31 17:27:10,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:10,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:10,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:10,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:10,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=14.26, mean=-0.206, std=3.734, absmax=14.69 +2025-10-31 17:27:10,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=10.7, mean=-0.1687, std=3.217, absmax=12.1 +2025-10-31 17:27:11,433 ERROR: Encountered non-finite generator loss at iter 8145; skipping update. +2025-10-31 17:27:11,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,436 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,437 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,438 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:11,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:11,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.54, mean=-0.2302, std=2.673, absmax=11.84 +2025-10-31 17:27:11,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=7.846, mean=-0.2095, std=2.259, absmax=10.01 +2025-10-31 17:27:11,935 ERROR: Encountered non-finite generator loss at iter 8146; skipping update. +2025-10-31 17:27:11,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:11,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:11,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:11,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:11,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.05, max=14.71, mean=-0.2576, std=3.374, absmax=17.05 +2025-10-31 17:27:11,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.64, max=12.32, mean=-0.2356, std=2.831, absmax=14.64 +2025-10-31 17:27:12,437 ERROR: Encountered non-finite generator loss at iter 8147; skipping update. +2025-10-31 17:27:12,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:12,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:12,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.58, mean=-0.2587, std=2.733, absmax=14.58 +2025-10-31 17:27:12,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.324, max=11.97, mean=-0.2161, std=2.477, absmax=11.97 +2025-10-31 17:27:12,937 ERROR: Encountered non-finite generator loss at iter 8148; skipping update. +2025-10-31 17:27:12,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:12,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:12,942 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:12,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:12,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.05, mean=-0.1524, std=2.303, absmax=11.46 +2025-10-31 17:27:12,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.38, max=8.512, mean=-0.1919, std=2.019, absmax=8.512 +2025-10-31 17:27:13,437 ERROR: Encountered non-finite generator loss at iter 8149; skipping update. +2025-10-31 17:27:13,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:13,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:13,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.5, mean=-0.2151, std=2.882, absmax=12.78 +2025-10-31 17:27:13,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=9.453, mean=-0.2082, std=2.48, absmax=11.04 +2025-10-31 17:27:13,942 ERROR: Encountered non-finite generator loss at iter 8150; skipping update. +2025-10-31 17:27:13,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:13,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:13,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:13,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:13,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13, mean=-0.1439, std=2.899, absmax=13 +2025-10-31 17:27:13,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=10.64, mean=-0.104, std=2.475, absmax=11.32 +2025-10-31 17:27:14,445 ERROR: Encountered non-finite generator loss at iter 8151; skipping update. +2025-10-31 17:27:14,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:14,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:14,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.07, max=13.22, mean=-0.2843, std=2.946, absmax=16.07 +2025-10-31 17:27:14,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=11.64, mean=-0.2224, std=2.48, absmax=11.64 +2025-10-31 17:27:14,948 ERROR: Encountered non-finite generator loss at iter 8152; skipping update. +2025-10-31 17:27:14,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:14,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:14,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:14,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:14,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.98, mean=-0.08061, std=2.765, absmax=12.98 +2025-10-31 17:27:14,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=9.09, mean=-0.1192, std=2.218, absmax=10.51 +2025-10-31 17:27:15,450 ERROR: Encountered non-finite generator loss at iter 8153; skipping update. +2025-10-31 17:27:15,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,455 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:15,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:15,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.69, mean=-0.09595, std=2.792, absmax=12.11 +2025-10-31 17:27:15,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.854, max=10.74, mean=-0.07319, std=2.443, absmax=10.74 +2025-10-31 17:27:15,953 ERROR: Encountered non-finite generator loss at iter 8154; skipping update. +2025-10-31 17:27:15,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:15,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:15,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:15,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:15,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.68, mean=-0.2091, std=2.69, absmax=12.64 +2025-10-31 17:27:15,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.204, max=8.205, mean=-0.1844, std=2.161, absmax=8.205 +2025-10-31 17:27:16,453 ERROR: Encountered non-finite generator loss at iter 8155; skipping update. +2025-10-31 17:27:16,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,455 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:16,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:16,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.77, max=13.85, mean=-0.2589, std=3.021, absmax=15.77 +2025-10-31 17:27:16,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=8.169, mean=-0.2316, std=2.445, absmax=12.36 +2025-10-31 17:27:16,955 ERROR: Encountered non-finite generator loss at iter 8156; skipping update. +2025-10-31 17:27:16,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:16,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:16,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:16,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:16,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.51, mean=-0.06203, std=2.721, absmax=13.51 +2025-10-31 17:27:16,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.204, max=8.492, mean=-0.05767, std=2.219, absmax=9.204 +2025-10-31 17:27:17,458 ERROR: Encountered non-finite generator loss at iter 8157; skipping update. +2025-10-31 17:27:17,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:17,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:17,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.25, mean=-0.06851, std=3.179, absmax=13.38 +2025-10-31 17:27:17,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.63, mean=-0.02708, std=3.044, absmax=11.63 +2025-10-31 17:27:17,962 ERROR: Encountered non-finite generator loss at iter 8158; skipping update. +2025-10-31 17:27:17,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:17,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:17,969 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:17,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:17,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=16.12, mean=0.07879, std=3.239, absmax=16.12 +2025-10-31 17:27:17,972 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.959, max=10.46, mean=0.05245, std=2.695, absmax=10.46 +2025-10-31 17:27:18,466 ERROR: Encountered non-finite generator loss at iter 8159; skipping update. +2025-10-31 17:27:18,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:18,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:18,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14.3, mean=-0.1438, std=2.897, absmax=14.3 +2025-10-31 17:27:18,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.664, max=11.75, mean=-0.1554, std=2.425, absmax=11.75 +2025-10-31 17:27:18,968 ERROR: Encountered non-finite generator loss at iter 8160; skipping update. +2025-10-31 17:27:18,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:18,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:18,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:18,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:18,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.14, mean=-0.1871, std=3.239, absmax=13.6 +2025-10-31 17:27:18,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.57, max=9.409, mean=-0.2182, std=2.801, absmax=12.57 +2025-10-31 17:27:19,471 ERROR: Encountered non-finite generator loss at iter 8161; skipping update. +2025-10-31 17:27:19,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,474 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,474 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,475 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,476 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,477 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:19,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:19,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.6, max=16.15, mean=0.05095, std=3.629, absmax=16.6 +2025-10-31 17:27:19,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=13.34, mean=0.04544, std=3.166, absmax=13.34 +2025-10-31 17:27:19,973 ERROR: Encountered non-finite generator loss at iter 8162; skipping update. +2025-10-31 17:27:19,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,976 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:19,979 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:19,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:19,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:19,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.31, mean=-0.1811, std=3.132, absmax=14.31 +2025-10-31 17:27:19,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=11.34, mean=-0.1638, std=2.551, absmax=11.34 +2025-10-31 17:27:20,474 ERROR: Encountered non-finite generator loss at iter 8163; skipping update. +2025-10-31 17:27:20,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:20,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:20,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=14.19, mean=-0.01285, std=3.123, absmax=14.19 +2025-10-31 17:27:20,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.84, mean=-0.0221, std=2.639, absmax=11.84 +2025-10-31 17:27:20,976 ERROR: Encountered non-finite generator loss at iter 8164; skipping update. +2025-10-31 17:27:20,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,981 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:20,982 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:20,983 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:20,984 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:20,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.32, mean=-0.2052, std=3.005, absmax=12.34 +2025-10-31 17:27:20,986 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.664, mean=-0.1928, std=2.497, absmax=10.98 +2025-10-31 17:27:21,478 ERROR: Encountered non-finite generator loss at iter 8165; skipping update. +2025-10-31 17:27:21,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:21,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:21,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.41, mean=-0.1034, std=2.805, absmax=12.57 +2025-10-31 17:27:21,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.721, max=8.727, mean=-0.09024, std=2.266, absmax=9.721 +2025-10-31 17:27:21,980 ERROR: Encountered non-finite generator loss at iter 8166; skipping update. +2025-10-31 17:27:21,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:21,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:21,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:21,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:21,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.15, mean=-0.3903, std=3.379, absmax=13.13 +2025-10-31 17:27:21,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=8.277, mean=-0.3534, std=2.916, absmax=10.42 +2025-10-31 17:27:22,483 ERROR: Encountered non-finite generator loss at iter 8167; skipping update. +2025-10-31 17:27:22,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:22,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:22,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.31, mean=-0.132, std=3.013, absmax=13.42 +2025-10-31 17:27:22,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.48, mean=-0.09978, std=2.524, absmax=10.48 +2025-10-31 17:27:22,986 ERROR: Encountered non-finite generator loss at iter 8168; skipping update. +2025-10-31 17:27:22,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:22,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:22,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:22,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:22,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=15.17, mean=-0.1195, std=3.068, absmax=15.17 +2025-10-31 17:27:22,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.176, max=11.02, mean=-0.1112, std=2.651, absmax=11.02 +2025-10-31 17:27:23,488 ERROR: Encountered non-finite generator loss at iter 8169; skipping update. +2025-10-31 17:27:23,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:23,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:23,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.74, mean=-0.2558, std=2.963, absmax=14.7 +2025-10-31 17:27:23,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=12.57, mean=-0.2462, std=2.435, absmax=12.57 +2025-10-31 17:27:23,991 ERROR: Encountered non-finite generator loss at iter 8170; skipping update. +2025-10-31 17:27:23,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:23,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:23,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:23,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:23,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.67, mean=0.05668, std=2.93, absmax=13.67 +2025-10-31 17:27:24,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=8.84, mean=-0.004507, std=2.428, absmax=10.01 +2025-10-31 17:27:24,493 ERROR: Encountered non-finite generator loss at iter 8171; skipping update. +2025-10-31 17:27:24,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:24,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:24,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:24,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:24,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:24,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:24,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:24,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:24,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.82, mean=-0.2642, std=2.849, absmax=12.37 +2025-10-31 17:27:24,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.437, mean=-0.2497, std=2.366, absmax=10.16 +2025-10-31 17:27:24,996 ERROR: Encountered non-finite generator loss at iter 8172; skipping update. +2025-10-31 17:27:24,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:24,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:24,999 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:24,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:24,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:25,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:25,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:25,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:25,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.89, mean=0.003421, std=3.492, absmax=13.89 +2025-10-31 17:27:25,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.2, mean=-0.03936, std=2.877, absmax=10.34 +2025-10-31 17:27:25,498 ERROR: Encountered non-finite generator loss at iter 8173; skipping update. +2025-10-31 17:27:25,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:25,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:25,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:25,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:25,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:25,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:25,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:25,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:25,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=11.59, mean=-0.1734, std=2.436, absmax=11.59 +2025-10-31 17:27:25,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.693, max=9.677, mean=-0.161, std=2.152, absmax=9.677 +2025-10-31 17:27:26,000 ERROR: Encountered non-finite generator loss at iter 8174; skipping update. +2025-10-31 17:27:26,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:26,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:26,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.88, mean=-0.05048, std=3.515, absmax=14.88 +2025-10-31 17:27:26,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=11.78, mean=-0.06572, std=3.034, absmax=11.95 +2025-10-31 17:27:26,504 ERROR: Encountered non-finite generator loss at iter 8175; skipping update. +2025-10-31 17:27:26,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:26,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:26,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:26,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:26,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.77, mean=-0.05723, std=2.943, absmax=12.76 +2025-10-31 17:27:26,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.973, mean=-0.05954, std=2.626, absmax=10.62 +2025-10-31 17:27:27,007 ERROR: Encountered non-finite generator loss at iter 8176; skipping update. +2025-10-31 17:27:27,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:27,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:27,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=14.12, mean=-0.1687, std=3.507, absmax=15.48 +2025-10-31 17:27:27,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=11.96, mean=-0.1202, std=3.092, absmax=11.96 +2025-10-31 17:27:27,513 ERROR: Encountered non-finite generator loss at iter 8177; skipping update. +2025-10-31 17:27:27,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,516 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,517 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:27,518 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:27,519 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:27,520 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:27,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.95, mean=-0.004798, std=2.89, absmax=14.95 +2025-10-31 17:27:27,522 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.013, max=9.028, mean=0.001709, std=2.255, absmax=9.028 +2025-10-31 17:27:28,015 ERROR: Encountered non-finite generator loss at iter 8178; skipping update. +2025-10-31 17:27:28,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,018 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:28,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:28,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.49, mean=-0.1545, std=2.913, absmax=15.49 +2025-10-31 17:27:28,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.829, max=9.308, mean=-0.1549, std=2.358, absmax=9.308 +2025-10-31 17:27:28,519 ERROR: Encountered non-finite generator loss at iter 8179; skipping update. +2025-10-31 17:27:28,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:28,524 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:28,525 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:28,525 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:28,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.3, mean=-0.2069, std=2.951, absmax=13.57 +2025-10-31 17:27:28,528 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.194, mean=-0.1939, std=2.487, absmax=10.71 +2025-10-31 17:27:29,021 ERROR: Encountered non-finite generator loss at iter 8180; skipping update. +2025-10-31 17:27:29,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,028 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:29,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:29,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=14.86, mean=-0.178, std=2.625, absmax=14.86 +2025-10-31 17:27:29,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=10.58, mean=-0.1645, std=2.168, absmax=10.58 +2025-10-31 17:27:29,523 ERROR: Encountered non-finite generator loss at iter 8181; skipping update. +2025-10-31 17:27:29,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,526 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:29,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:29,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:29,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:29,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=14.57, mean=0.147, std=3.099, absmax=14.57 +2025-10-31 17:27:29,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.097, max=13.25, mean=0.1301, std=2.635, absmax=13.25 +2025-10-31 17:27:30,025 ERROR: Encountered non-finite generator loss at iter 8182; skipping update. +2025-10-31 17:27:30,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:30,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:30,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.85, mean=-0.3814, std=2.361, absmax=12.03 +2025-10-31 17:27:30,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.861, max=7.866, mean=-0.3733, std=2.083, absmax=8.861 +2025-10-31 17:27:30,527 ERROR: Encountered non-finite generator loss at iter 8183; skipping update. +2025-10-31 17:27:30,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:30,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:30,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:30,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:30,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.64, mean=0.1062, std=3.218, absmax=14.64 +2025-10-31 17:27:30,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=12.28, mean=0.04864, std=2.846, absmax=12.28 +2025-10-31 17:27:31,030 ERROR: Encountered non-finite generator loss at iter 8184; skipping update. +2025-10-31 17:27:31,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:31,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:31,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.84, mean=-0.1503, std=2.852, absmax=14.84 +2025-10-31 17:27:31,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.82, mean=-0.1394, std=2.218, absmax=11.07 +2025-10-31 17:27:31,531 ERROR: Encountered non-finite generator loss at iter 8185; skipping update. +2025-10-31 17:27:31,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:31,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:31,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:31,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:31,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=17.8, mean=0.2324, std=3.676, absmax=17.8 +2025-10-31 17:27:31,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.797, max=13.18, mean=0.1821, std=3.122, absmax=13.18 +2025-10-31 17:27:32,033 ERROR: Encountered non-finite generator loss at iter 8186; skipping update. +2025-10-31 17:27:32,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,036 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,037 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:32,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:32,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=13.87, mean=-0.2071, std=3.147, absmax=14.49 +2025-10-31 17:27:32,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=12.41, mean=-0.2043, std=2.567, absmax=13.15 +2025-10-31 17:27:32,536 ERROR: Encountered non-finite generator loss at iter 8187; skipping update. +2025-10-31 17:27:32,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:32,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:32,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:32,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:32,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.4, mean=-0.3306, std=3.202, absmax=12.61 +2025-10-31 17:27:32,547 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=9.093, mean=-0.3166, std=2.691, absmax=11.1 +2025-10-31 17:27:33,039 ERROR: Encountered non-finite generator loss at iter 8188; skipping update. +2025-10-31 17:27:33,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,041 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,042 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,043 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,044 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,045 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:33,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:33,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.69, mean=-0.03938, std=3.421, absmax=13.69 +2025-10-31 17:27:33,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.792, max=11.09, mean=-0.1497, std=2.815, absmax=11.09 +2025-10-31 17:27:33,540 ERROR: Encountered non-finite generator loss at iter 8189; skipping update. +2025-10-31 17:27:33,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:33,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:33,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:33,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:33,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.22, mean=-0.1003, std=3.208, absmax=12.4 +2025-10-31 17:27:33,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.856, mean=-0.1057, std=2.778, absmax=10.33 +2025-10-31 17:27:34,042 ERROR: Encountered non-finite generator loss at iter 8190; skipping update. +2025-10-31 17:27:34,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:34,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:34,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.13, mean=0.0007545, std=2.97, absmax=13.05 +2025-10-31 17:27:34,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.567, max=9.625, mean=-0.05576, std=2.312, absmax=9.625 +2025-10-31 17:27:34,543 ERROR: Encountered non-finite generator loss at iter 8191; skipping update. +2025-10-31 17:27:34,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,545 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:34,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:34,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:34,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:34,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=16.8, mean=-0.2414, std=2.937, absmax=16.8 +2025-10-31 17:27:34,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=9.27, mean=-0.2494, std=2.454, absmax=9.761 +2025-10-31 17:27:35,047 ERROR: Encountered non-finite generator loss at iter 8192; skipping update. +2025-10-31 17:27:35,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:35,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:35,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=11.3, mean=-0.3613, std=3.139, absmax=13.95 +2025-10-31 17:27:35,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=8.155, mean=-0.363, std=2.788, absmax=11.41 +2025-10-31 17:27:35,550 ERROR: Encountered non-finite generator loss at iter 8193; skipping update. +2025-10-31 17:27:35,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,553 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,554 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:35,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:35,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:35,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:35,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.3, mean=-0.2392, std=2.4, absmax=12.57 +2025-10-31 17:27:35,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.56, max=7.017, mean=-0.2224, std=2.106, absmax=9.56 +2025-10-31 17:27:36,051 ERROR: Encountered non-finite generator loss at iter 8194; skipping update. +2025-10-31 17:27:36,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:36,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:36,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.29, mean=-0.2601, std=2.95, absmax=14.29 +2025-10-31 17:27:36,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=11.87, mean=-0.2394, std=2.544, absmax=11.87 +2025-10-31 17:27:36,552 ERROR: Encountered non-finite generator loss at iter 8195; skipping update. +2025-10-31 17:27:36,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:36,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:36,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:36,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:36,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.28, mean=-0.04212, std=2.71, absmax=11.47 +2025-10-31 17:27:36,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.111, max=10.16, mean=-0.02246, std=2.253, absmax=10.16 +2025-10-31 17:27:37,052 ERROR: Encountered non-finite generator loss at iter 8196; skipping update. +2025-10-31 17:27:37,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:37,057 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:37,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.97, mean=-0.2003, std=2.662, absmax=14.97 +2025-10-31 17:27:37,059 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.544, max=7.648, mean=-0.2032, std=2.177, absmax=9.544 +2025-10-31 17:27:37,551 ERROR: Encountered non-finite generator loss at iter 8197; skipping update. +2025-10-31 17:27:37,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,553 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:37,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:37,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:37,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:37,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=10.06, mean=-0.2752, std=2.292, absmax=12.26 +2025-10-31 17:27:37,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.385, max=7.582, mean=-0.2828, std=1.968, absmax=8.385 +2025-10-31 17:27:38,053 ERROR: Encountered non-finite generator loss at iter 8198; skipping update. +2025-10-31 17:27:38,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:38,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:38,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=14.5, mean=-0.03698, std=2.848, absmax=14.5 +2025-10-31 17:27:38,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.398, max=9.622, mean=-0.06387, std=2.303, absmax=9.622 +2025-10-31 17:27:38,553 ERROR: Encountered non-finite generator loss at iter 8199; skipping update. +2025-10-31 17:27:38,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,556 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:38,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:38,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:38,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:38,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.02, mean=-0.2368, std=2.624, absmax=12.06 +2025-10-31 17:27:38,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.218, max=8.28, mean=-0.2453, std=2.107, absmax=9.218 +2025-10-31 17:27:39,053 ERROR: Encountered non-finite generator loss at iter 8200; skipping update. +2025-10-31 17:27:39,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,056 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,057 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:39,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:39,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.11, mean=0.09151, std=3.783, absmax=15.11 +2025-10-31 17:27:39,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.586, max=14.82, mean=0.1049, std=3.353, absmax=14.82 +2025-10-31 17:27:39,064 INFO: [29..][epoch: 0, step: 8,200, lr:(1.500e-04,)] [eta: 1 day, 17:06:00, time (data): 0.503 (0.000)] +2025-10-31 17:27:39,555 ERROR: Encountered non-finite generator loss at iter 8201; skipping update. +2025-10-31 17:27:39,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:39,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:39,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:39,564 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:39,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.92, mean=-0.2305, std=3.575, absmax=14.04 +2025-10-31 17:27:39,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=12.02, mean=-0.2422, std=2.99, absmax=12.02 +2025-10-31 17:27:40,057 ERROR: Encountered non-finite generator loss at iter 8202; skipping update. +2025-10-31 17:27:40,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:40,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:40,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.09, mean=-0.2793, std=2.998, absmax=12.56 +2025-10-31 17:27:40,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.437, mean=-0.2324, std=2.416, absmax=10.01 +2025-10-31 17:27:40,557 ERROR: Encountered non-finite generator loss at iter 8203; skipping update. +2025-10-31 17:27:40,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,560 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,561 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,562 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:40,563 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:40,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:40,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:40,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.85, mean=0.002179, std=3.175, absmax=13.85 +2025-10-31 17:27:40,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.48, mean=-0.05824, std=2.685, absmax=10.48 +2025-10-31 17:27:41,059 ERROR: Encountered non-finite generator loss at iter 8204; skipping update. +2025-10-31 17:27:41,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:41,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:41,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.1, mean=-0.148, std=2.79, absmax=11.45 +2025-10-31 17:27:41,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=9.828, mean=-0.1492, std=2.449, absmax=9.828 +2025-10-31 17:27:41,561 ERROR: Encountered non-finite generator loss at iter 8205; skipping update. +2025-10-31 17:27:41,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:41,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:41,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:41,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:41,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.15, mean=-0.2684, std=2.882, absmax=14.13 +2025-10-31 17:27:41,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=8.326, mean=-0.295, std=2.493, absmax=11.87 +2025-10-31 17:27:42,063 ERROR: Encountered non-finite generator loss at iter 8206; skipping update. +2025-10-31 17:27:42,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:42,069 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:42,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.33, mean=-0.2123, std=2.703, absmax=12.56 +2025-10-31 17:27:42,071 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.25, mean=-0.2742, std=2.394, absmax=10.25 +2025-10-31 17:27:42,565 ERROR: Encountered non-finite generator loss at iter 8207; skipping update. +2025-10-31 17:27:42,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,568 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,569 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,570 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:42,571 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:42,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:42,573 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:42,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.06, mean=-0.1782, std=3.292, absmax=13.62 +2025-10-31 17:27:42,575 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.929, mean=-0.208, std=2.823, absmax=11.3 +2025-10-31 17:27:43,067 ERROR: Encountered non-finite generator loss at iter 8208; skipping update. +2025-10-31 17:27:43,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:43,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:43,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.28, mean=-0.2334, std=3.331, absmax=13.96 +2025-10-31 17:27:43,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=8.004, mean=-0.2224, std=2.612, absmax=10.91 +2025-10-31 17:27:43,569 ERROR: Encountered non-finite generator loss at iter 8209; skipping update. +2025-10-31 17:27:43,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,572 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:43,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:43,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:43,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:43,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.81, mean=-0.183, std=2.488, absmax=11.12 +2025-10-31 17:27:43,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.161, max=7.89, mean=-0.1726, std=2.114, absmax=9.161 +2025-10-31 17:27:44,070 ERROR: Encountered non-finite generator loss at iter 8210; skipping update. +2025-10-31 17:27:44,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:44,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:44,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.39, mean=-0.3177, std=2.889, absmax=12.81 +2025-10-31 17:27:44,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.277, mean=-0.3499, std=2.423, absmax=10.3 +2025-10-31 17:27:44,573 ERROR: Encountered non-finite generator loss at iter 8211; skipping update. +2025-10-31 17:27:44,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:44,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:44,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:44,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:44,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=10.93, mean=-0.2438, std=2.683, absmax=14.15 +2025-10-31 17:27:44,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.573, mean=-0.2143, std=2.167, absmax=10.6 +2025-10-31 17:27:45,076 ERROR: Encountered non-finite generator loss at iter 8212; skipping update. +2025-10-31 17:27:45,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:45,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:45,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.11, mean=-0.2992, std=3.333, absmax=15.11 +2025-10-31 17:27:45,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=8.338, mean=-0.2802, std=2.776, absmax=11.64 +2025-10-31 17:27:45,578 ERROR: Encountered non-finite generator loss at iter 8213; skipping update. +2025-10-31 17:27:45,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,581 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:45,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:45,585 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:45,586 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:45,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.18, mean=-0.1705, std=2.84, absmax=13.57 +2025-10-31 17:27:45,588 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.94, mean=-0.1248, std=2.478, absmax=10.94 +2025-10-31 17:27:46,082 ERROR: Encountered non-finite generator loss at iter 8214; skipping update. +2025-10-31 17:27:46,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,089 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:46,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:46,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.14, mean=-0.03308, std=2.649, absmax=14.14 +2025-10-31 17:27:46,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=12.18, mean=0.01505, std=2.372, absmax=12.18 +2025-10-31 17:27:46,586 ERROR: Encountered non-finite generator loss at iter 8215; skipping update. +2025-10-31 17:27:46,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,589 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:46,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:46,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:46,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:46,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.92, mean=-0.1692, std=2.616, absmax=12.69 +2025-10-31 17:27:46,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=8.346, mean=-0.1922, std=2.262, absmax=11.91 +2025-10-31 17:27:47,090 ERROR: Encountered non-finite generator loss at iter 8216; skipping update. +2025-10-31 17:27:47,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,093 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:47,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:47,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.29, mean=-0.06841, std=3.25, absmax=14.17 +2025-10-31 17:27:47,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=9.43, mean=-0.05047, std=2.66, absmax=11.36 +2025-10-31 17:27:47,589 ERROR: Encountered non-finite generator loss at iter 8217; skipping update. +2025-10-31 17:27:47,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:47,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:47,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:47,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:47,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.07, mean=-0.128, std=2.805, absmax=13.07 +2025-10-31 17:27:47,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.593, max=9.606, mean=-0.1215, std=2.453, absmax=9.606 +2025-10-31 17:27:48,093 ERROR: Encountered non-finite generator loss at iter 8218; skipping update. +2025-10-31 17:27:48,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,096 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:48,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:48,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=19.83, mean=-0.1275, std=3.4, absmax=19.83 +2025-10-31 17:27:48,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=17.52, mean=-0.1068, std=3.027, absmax=17.52 +2025-10-31 17:27:48,596 ERROR: Encountered non-finite generator loss at iter 8219; skipping update. +2025-10-31 17:27:48,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:48,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:48,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:48,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:48,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.59, mean=-0.3088, std=2.645, absmax=12.59 +2025-10-31 17:27:48,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.839, max=10.87, mean=-0.2523, std=2.246, absmax=10.87 +2025-10-31 17:27:49,100 ERROR: Encountered non-finite generator loss at iter 8220; skipping update. +2025-10-31 17:27:49,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,102 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:49,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:49,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.43, mean=-0.1091, std=3.375, absmax=13.43 +2025-10-31 17:27:49,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.938, mean=-0.1379, std=2.671, absmax=10.28 +2025-10-31 17:27:49,603 ERROR: Encountered non-finite generator loss at iter 8221; skipping update. +2025-10-31 17:27:49,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:49,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:49,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:49,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:49,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.07, mean=0.05183, std=3.167, absmax=14.07 +2025-10-31 17:27:49,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.467, mean=0.04743, std=2.695, absmax=10.7 +2025-10-31 17:27:50,103 ERROR: Encountered non-finite generator loss at iter 8222; skipping update. +2025-10-31 17:27:50,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,105 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:50,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:50,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=16.33, mean=-0.08424, std=2.945, absmax=16.33 +2025-10-31 17:27:50,112 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.9, mean=-0.1973, std=2.607, absmax=11.9 +2025-10-31 17:27:50,608 ERROR: Encountered non-finite generator loss at iter 8223; skipping update. +2025-10-31 17:27:50,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,611 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:50,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:50,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:50,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:50,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.52, mean=-0.1375, std=3.265, absmax=12.52 +2025-10-31 17:27:50,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.104, mean=-0.2363, std=2.64, absmax=10.62 +2025-10-31 17:27:51,112 ERROR: Encountered non-finite generator loss at iter 8224; skipping update. +2025-10-31 17:27:51,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:51,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:51,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=16.08, mean=-0.1689, std=3.353, absmax=16.08 +2025-10-31 17:27:51,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=10.98, mean=-0.178, std=2.644, absmax=11.8 +2025-10-31 17:27:51,615 ERROR: Encountered non-finite generator loss at iter 8225; skipping update. +2025-10-31 17:27:51,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,619 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:51,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:51,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:51,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:51,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.82, mean=-0.2267, std=2.786, absmax=12.82 +2025-10-31 17:27:51,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=8.95, mean=-0.2431, std=2.437, absmax=11.84 +2025-10-31 17:27:52,120 ERROR: Encountered non-finite generator loss at iter 8226; skipping update. +2025-10-31 17:27:52,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:52,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:52,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.2, mean=-0.1347, std=2.444, absmax=12.53 +2025-10-31 17:27:52,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=7.92, mean=-0.1277, std=1.999, absmax=9.562 +2025-10-31 17:27:52,624 ERROR: Encountered non-finite generator loss at iter 8227; skipping update. +2025-10-31 17:27:52,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:52,629 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:52,630 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:52,631 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:52,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.95, mean=-0.1108, std=3.23, absmax=12.84 +2025-10-31 17:27:52,633 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=8.788, mean=-0.1277, std=2.604, absmax=10.68 +2025-10-31 17:27:53,127 ERROR: Encountered non-finite generator loss at iter 8228; skipping update. +2025-10-31 17:27:53,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:53,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:53,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.42, mean=-0.4522, std=3.184, absmax=12.29 +2025-10-31 17:27:53,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.153, mean=-0.4162, std=2.798, absmax=10.69 +2025-10-31 17:27:53,633 ERROR: Encountered non-finite generator loss at iter 8229; skipping update. +2025-10-31 17:27:53,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:53,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:53,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:53,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:53,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.03, mean=-0.07009, std=3.071, absmax=13.03 +2025-10-31 17:27:53,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.097, max=10, mean=-0.08704, std=2.451, absmax=10 +2025-10-31 17:27:54,137 ERROR: Encountered non-finite generator loss at iter 8230; skipping update. +2025-10-31 17:27:54,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:54,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:54,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=15, mean=-0.05444, std=3.09, absmax=15 +2025-10-31 17:27:54,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=10.34, mean=-0.06691, std=2.55, absmax=10.34 +2025-10-31 17:27:54,641 ERROR: Encountered non-finite generator loss at iter 8231; skipping update. +2025-10-31 17:27:54,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,644 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,645 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,646 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:54,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:54,648 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:54,649 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:54,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.71, mean=0.0404, std=3.138, absmax=11.78 +2025-10-31 17:27:54,651 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.643, mean=0.02265, std=2.615, absmax=10.86 +2025-10-31 17:27:55,145 ERROR: Encountered non-finite generator loss at iter 8232; skipping update. +2025-10-31 17:27:55,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:55,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:55,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.15, mean=-0.09955, std=3.243, absmax=15.15 +2025-10-31 17:27:55,169 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.14, mean=-0.1044, std=2.504, absmax=10.2 +2025-10-31 17:27:55,665 ERROR: Encountered non-finite generator loss at iter 8233; skipping update. +2025-10-31 17:27:55,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,668 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:55,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:55,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:55,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:55,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.56, max=13.8, mean=-0.3181, std=2.808, absmax=18.56 +2025-10-31 17:27:55,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.2, max=10.79, mean=-0.3137, std=2.391, absmax=13.2 +2025-10-31 17:27:56,168 ERROR: Encountered non-finite generator loss at iter 8234; skipping update. +2025-10-31 17:27:56,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:56,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:56,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.52, mean=-0.1099, std=3.113, absmax=12.95 +2025-10-31 17:27:56,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.36, max=11.75, mean=-0.1278, std=2.729, absmax=12.36 +2025-10-31 17:27:56,673 ERROR: Encountered non-finite generator loss at iter 8235; skipping update. +2025-10-31 17:27:56,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:56,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:56,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:56,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:56,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.06, mean=-0.3314, std=2.788, absmax=13.15 +2025-10-31 17:27:56,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.432, max=9.429, mean=-0.3051, std=2.391, absmax=9.432 +2025-10-31 17:27:57,177 ERROR: Encountered non-finite generator loss at iter 8236; skipping update. +2025-10-31 17:27:57,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,190 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:57,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:57,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.32, mean=-0.145, std=3.084, absmax=12.34 +2025-10-31 17:27:57,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=9.468, mean=-0.1936, std=2.579, absmax=9.929 +2025-10-31 17:27:57,688 ERROR: Encountered non-finite generator loss at iter 8237; skipping update. +2025-10-31 17:27:57,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:57,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:57,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:57,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:57,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.11, mean=0.02004, std=2.832, absmax=12.37 +2025-10-31 17:27:57,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.649, max=10.21, mean=-0.06136, std=2.438, absmax=10.21 +2025-10-31 17:27:58,193 ERROR: Encountered non-finite generator loss at iter 8238; skipping update. +2025-10-31 17:27:58,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,196 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:58,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:58,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.89, mean=-0.1588, std=3.096, absmax=12.99 +2025-10-31 17:27:58,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.117, mean=-0.185, std=2.681, absmax=10.3 +2025-10-31 17:27:58,697 ERROR: Encountered non-finite generator loss at iter 8239; skipping update. +2025-10-31 17:27:58,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:58,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:58,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:58,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:58,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=12.63, mean=-0.1098, std=3.249, absmax=14.82 +2025-10-31 17:27:58,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=10.16, mean=-0.1137, std=2.66, absmax=12.01 +2025-10-31 17:27:59,202 ERROR: Encountered non-finite generator loss at iter 8240; skipping update. +2025-10-31 17:27:59,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:59,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:59,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.71, mean=-0.1906, std=3.161, absmax=14 +2025-10-31 17:27:59,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.979, mean=-0.1761, std=2.731, absmax=10.2 +2025-10-31 17:27:59,707 ERROR: Encountered non-finite generator loss at iter 8241; skipping update. +2025-10-31 17:27:59,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:27:59,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:27:59,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:27:59,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:27:59,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.97, mean=-0.1354, std=2.549, absmax=13.97 +2025-10-31 17:27:59,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.915, max=10.17, mean=-0.1681, std=2.085, absmax=10.17 +2025-10-31 17:28:00,214 ERROR: Encountered non-finite generator loss at iter 8242; skipping update. +2025-10-31 17:28:00,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,217 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:00,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:00,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.98, max=13.15, mean=0.137, std=3.168, absmax=19.98 +2025-10-31 17:28:00,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.39, max=11.29, mean=0.09387, std=2.674, absmax=11.29 +2025-10-31 17:28:00,716 ERROR: Encountered non-finite generator loss at iter 8243; skipping update. +2025-10-31 17:28:00,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,719 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:00,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:00,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:00,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:00,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.4, mean=-0.1241, std=2.938, absmax=14.69 +2025-10-31 17:28:00,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.965, mean=-0.1098, std=2.399, absmax=10.02 +2025-10-31 17:28:01,221 ERROR: Encountered non-finite generator loss at iter 8244; skipping update. +2025-10-31 17:28:01,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:01,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:01,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=14, mean=-0.2306, std=3.049, absmax=14.7 +2025-10-31 17:28:01,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.22, max=9.544, mean=-0.2206, std=2.655, absmax=13.22 +2025-10-31 17:28:01,727 ERROR: Encountered non-finite generator loss at iter 8245; skipping update. +2025-10-31 17:28:01,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,730 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,730 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:01,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:01,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:01,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:01,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.59, mean=-0.02524, std=3.047, absmax=13.59 +2025-10-31 17:28:01,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=9.917, mean=-0.02502, std=2.411, absmax=10.98 +2025-10-31 17:28:02,231 ERROR: Encountered non-finite generator loss at iter 8246; skipping update. +2025-10-31 17:28:02,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,233 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,234 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,234 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:02,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:02,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.66, mean=-0.0183, std=3.405, absmax=13.08 +2025-10-31 17:28:02,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.49, mean=0.00028, std=2.779, absmax=10.58 +2025-10-31 17:28:02,735 ERROR: Encountered non-finite generator loss at iter 8247; skipping update. +2025-10-31 17:28:02,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:02,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:02,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:02,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:02,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=11.7, mean=-0.09644, std=2.554, absmax=11.7 +2025-10-31 17:28:02,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.405, max=10.05, mean=-0.08358, std=2.225, absmax=10.05 +2025-10-31 17:28:03,239 ERROR: Encountered non-finite generator loss at iter 8248; skipping update. +2025-10-31 17:28:03,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,242 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:03,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:03,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.2, mean=0.117, std=2.92, absmax=12.25 +2025-10-31 17:28:03,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.834, max=9.477, mean=0.0241, std=2.362, absmax=9.477 +2025-10-31 17:28:03,743 ERROR: Encountered non-finite generator loss at iter 8249; skipping update. +2025-10-31 17:28:03,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:03,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:03,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:03,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:03,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=13.07, mean=0.00621, std=3.067, absmax=13.07 +2025-10-31 17:28:03,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.972, max=10.51, mean=-0.01124, std=2.514, absmax=10.51 +2025-10-31 17:28:04,251 ERROR: Encountered non-finite generator loss at iter 8250; skipping update. +2025-10-31 17:28:04,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:04,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:04,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=14.92, mean=-0.144, std=2.502, absmax=14.92 +2025-10-31 17:28:04,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.541, mean=-0.1724, std=2.167, absmax=10.27 +2025-10-31 17:28:04,753 ERROR: Encountered non-finite generator loss at iter 8251; skipping update. +2025-10-31 17:28:04,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:04,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:04,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:04,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:04,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.28, mean=-0.2627, std=2.966, absmax=12.7 +2025-10-31 17:28:04,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=8.808, mean=-0.2478, std=2.469, absmax=9.508 +2025-10-31 17:28:05,257 ERROR: Encountered non-finite generator loss at iter 8252; skipping update. +2025-10-31 17:28:05,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,260 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:05,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:05,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.62, mean=-0.3174, std=3.423, absmax=14.33 +2025-10-31 17:28:05,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.68, mean=-0.2852, std=2.771, absmax=11.59 +2025-10-31 17:28:05,758 ERROR: Encountered non-finite generator loss at iter 8253; skipping update. +2025-10-31 17:28:05,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:05,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:05,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:05,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:05,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=11.08, mean=-0.05704, std=3.065, absmax=15.04 +2025-10-31 17:28:05,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.137, mean=-0.05966, std=2.554, absmax=10.18 +2025-10-31 17:28:06,261 ERROR: Encountered non-finite generator loss at iter 8254; skipping update. +2025-10-31 17:28:06,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:06,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:06,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.88, mean=-0.1043, std=2.908, absmax=12.4 +2025-10-31 17:28:06,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.299, max=8.871, mean=-0.08168, std=2.426, absmax=9.299 +2025-10-31 17:28:06,763 ERROR: Encountered non-finite generator loss at iter 8255; skipping update. +2025-10-31 17:28:06,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,765 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,766 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,767 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,768 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:06,769 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:06,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:06,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:06,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=10.95, mean=-0.156, std=2.844, absmax=14.43 +2025-10-31 17:28:06,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.695, max=7.936, mean=-0.1498, std=2.298, absmax=9.695 +2025-10-31 17:28:07,268 ERROR: Encountered non-finite generator loss at iter 8256; skipping update. +2025-10-31 17:28:07,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,273 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,274 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,275 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:07,276 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:07,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.84, mean=-0.03486, std=3.58, absmax=13.84 +2025-10-31 17:28:07,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.68, max=10.72, mean=-0.04138, std=3.108, absmax=11.68 +2025-10-31 17:28:07,772 ERROR: Encountered non-finite generator loss at iter 8257; skipping update. +2025-10-31 17:28:07,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,775 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,776 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,776 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:07,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:07,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:07,779 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:07,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=14.66, mean=-0.3429, std=2.97, absmax=15.78 +2025-10-31 17:28:07,781 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.63, max=9.435, mean=-0.297, std=2.481, absmax=13.63 +2025-10-31 17:28:08,274 ERROR: Encountered non-finite generator loss at iter 8258; skipping update. +2025-10-31 17:28:08,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,278 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,280 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,281 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:08,282 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:08,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.75, mean=-0.1441, std=2.678, absmax=12.75 +2025-10-31 17:28:08,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.26, mean=-0.1552, std=2.299, absmax=10.26 +2025-10-31 17:28:08,778 ERROR: Encountered non-finite generator loss at iter 8259; skipping update. +2025-10-31 17:28:08,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,781 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,782 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,783 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:08,784 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:08,785 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:08,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:08,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=12.73, mean=-0.09311, std=2.656, absmax=12.73 +2025-10-31 17:28:08,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.071, max=9.921, mean=-0.1111, std=2.447, absmax=9.921 +2025-10-31 17:28:09,281 ERROR: Encountered non-finite generator loss at iter 8260; skipping update. +2025-10-31 17:28:09,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:09,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:09,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.3, mean=-0.06096, std=3.603, absmax=14.3 +2025-10-31 17:28:09,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=11.41, mean=-0.06958, std=3.075, absmax=11.41 +2025-10-31 17:28:09,784 ERROR: Encountered non-finite generator loss at iter 8261; skipping update. +2025-10-31 17:28:09,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:09,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:09,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:09,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:09,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.99, mean=-0.09565, std=3.236, absmax=14.99 +2025-10-31 17:28:09,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=12.08, mean=-0.06156, std=2.855, absmax=12.08 +2025-10-31 17:28:10,287 ERROR: Encountered non-finite generator loss at iter 8262; skipping update. +2025-10-31 17:28:10,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:10,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:10,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.26, mean=-0.1305, std=3.086, absmax=13.82 +2025-10-31 17:28:10,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.63, mean=-0.115, std=2.585, absmax=10.67 +2025-10-31 17:28:10,794 ERROR: Encountered non-finite generator loss at iter 8263; skipping update. +2025-10-31 17:28:10,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,797 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:10,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:10,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:10,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:10,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.72, mean=-0.01594, std=2.926, absmax=12.72 +2025-10-31 17:28:10,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.413, max=9.373, mean=-0.02074, std=2.52, absmax=9.413 +2025-10-31 17:28:11,297 ERROR: Encountered non-finite generator loss at iter 8264; skipping update. +2025-10-31 17:28:11,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,305 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:11,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:11,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.03, mean=-0.08833, std=2.948, absmax=12.09 +2025-10-31 17:28:11,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.624, max=9.189, mean=-0.1107, std=2.503, absmax=9.624 +2025-10-31 17:28:11,804 ERROR: Encountered non-finite generator loss at iter 8265; skipping update. +2025-10-31 17:28:11,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:11,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:11,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:11,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:11,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.75, mean=-0.2423, std=2.951, absmax=12.75 +2025-10-31 17:28:11,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=8.845, mean=-0.2155, std=2.432, absmax=10.45 +2025-10-31 17:28:12,309 ERROR: Encountered non-finite generator loss at iter 8266; skipping update. +2025-10-31 17:28:12,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:12,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:12,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.42, max=15.34, mean=-0.0631, std=3.661, absmax=16.42 +2025-10-31 17:28:12,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=11.98, mean=-0.06951, std=2.897, absmax=11.98 +2025-10-31 17:28:12,813 ERROR: Encountered non-finite generator loss at iter 8267; skipping update. +2025-10-31 17:28:12,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,816 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:12,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:12,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:12,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:12,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.89, mean=-0.1954, std=2.684, absmax=12.07 +2025-10-31 17:28:12,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.004, max=9.107, mean=-0.1628, std=2.236, absmax=9.107 +2025-10-31 17:28:13,322 ERROR: Encountered non-finite generator loss at iter 8268; skipping update. +2025-10-31 17:28:13,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:13,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:13,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.56, mean=-0.1314, std=2.643, absmax=14.56 +2025-10-31 17:28:13,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.695, max=11.49, mean=-0.1495, std=2.183, absmax=11.49 +2025-10-31 17:28:13,830 ERROR: Encountered non-finite generator loss at iter 8269; skipping update. +2025-10-31 17:28:13,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,835 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:13,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:13,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:13,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:13,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.94, mean=-0.151, std=3.167, absmax=13.45 +2025-10-31 17:28:13,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.957, max=9.934, mean=-0.1011, std=2.737, absmax=9.957 +2025-10-31 17:28:14,335 ERROR: Encountered non-finite generator loss at iter 8270; skipping update. +2025-10-31 17:28:14,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:14,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:14,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.04, mean=0.02121, std=3.492, absmax=14.04 +2025-10-31 17:28:14,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=11.27, mean=-0.01675, std=2.809, absmax=11.27 +2025-10-31 17:28:14,840 ERROR: Encountered non-finite generator loss at iter 8271; skipping update. +2025-10-31 17:28:14,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:14,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:14,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:14,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:14,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=16.06, mean=-0.3724, std=3.593, absmax=16.06 +2025-10-31 17:28:14,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.95, mean=-0.3747, std=3.017, absmax=11.74 +2025-10-31 17:28:15,345 ERROR: Encountered non-finite generator loss at iter 8272; skipping update. +2025-10-31 17:28:15,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:15,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:15,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=15.4, mean=0.03977, std=3.486, absmax=15.4 +2025-10-31 17:28:15,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.91, mean=-0.04619, std=2.807, absmax=11.91 +2025-10-31 17:28:15,849 ERROR: Encountered non-finite generator loss at iter 8273; skipping update. +2025-10-31 17:28:15,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,851 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:15,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:15,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:15,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:15,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.84, mean=-0.1688, std=3.258, absmax=15.84 +2025-10-31 17:28:15,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=14.25, mean=-0.1727, std=2.44, absmax=14.25 +2025-10-31 17:28:16,353 ERROR: Encountered non-finite generator loss at iter 8274; skipping update. +2025-10-31 17:28:16,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,355 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:16,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:16,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.78, mean=-0.06515, std=2.88, absmax=13.78 +2025-10-31 17:28:16,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.807, max=10.8, mean=-0.1427, std=2.407, absmax=10.8 +2025-10-31 17:28:16,854 ERROR: Encountered non-finite generator loss at iter 8275; skipping update. +2025-10-31 17:28:16,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,859 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:16,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:16,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:16,863 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:16,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.47, mean=-0.1488, std=2.616, absmax=12.47 +2025-10-31 17:28:16,865 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.902, max=11.54, mean=-0.1439, std=2.325, absmax=11.54 +2025-10-31 17:28:17,359 ERROR: Encountered non-finite generator loss at iter 8276; skipping update. +2025-10-31 17:28:17,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,366 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:17,367 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:17,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.38, mean=-0.1297, std=3.16, absmax=14.74 +2025-10-31 17:28:17,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.45, max=8.881, mean=-0.1407, std=2.673, absmax=12.45 +2025-10-31 17:28:17,863 ERROR: Encountered non-finite generator loss at iter 8277; skipping update. +2025-10-31 17:28:17,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:17,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:17,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:17,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:17,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.6, mean=-0.0294, std=3.854, absmax=14.6 +2025-10-31 17:28:17,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.313, max=11.39, mean=-0.01971, std=3.02, absmax=11.39 +2025-10-31 17:28:18,370 ERROR: Encountered non-finite generator loss at iter 8278; skipping update. +2025-10-31 17:28:18,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,373 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:18,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:18,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.31, mean=-0.2765, std=2.889, absmax=14.31 +2025-10-31 17:28:18,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=8.48, mean=-0.2749, std=2.319, absmax=9.344 +2025-10-31 17:28:18,873 ERROR: Encountered non-finite generator loss at iter 8279; skipping update. +2025-10-31 17:28:18,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:18,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:18,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:18,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:18,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.22, mean=-0.161, std=2.86, absmax=13.22 +2025-10-31 17:28:18,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.549, max=9.394, mean=-0.1824, std=2.247, absmax=9.394 +2025-10-31 17:28:19,377 ERROR: Encountered non-finite generator loss at iter 8280; skipping update. +2025-10-31 17:28:19,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:19,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:19,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=16.63, mean=-0.1644, std=3.584, absmax=16.63 +2025-10-31 17:28:19,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=12.02, mean=-0.169, std=3.026, absmax=12.02 +2025-10-31 17:28:19,882 ERROR: Encountered non-finite generator loss at iter 8281; skipping update. +2025-10-31 17:28:19,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:19,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:19,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:19,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:19,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.49, mean=-0.08321, std=3.933, absmax=14.49 +2025-10-31 17:28:19,892 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=10.44, mean=-0.1435, std=3.294, absmax=12.5 +2025-10-31 17:28:20,387 ERROR: Encountered non-finite generator loss at iter 8282; skipping update. +2025-10-31 17:28:20,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:20,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:20,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.66, mean=-0.06557, std=3.074, absmax=12.66 +2025-10-31 17:28:20,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.94, mean=-0.004616, std=2.537, absmax=10.94 +2025-10-31 17:28:20,891 ERROR: Encountered non-finite generator loss at iter 8283; skipping update. +2025-10-31 17:28:20,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,894 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,896 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:20,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:20,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:20,899 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:20,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=13.83, mean=-0.1763, std=3.037, absmax=14.66 +2025-10-31 17:28:20,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.99, mean=-0.1782, std=2.707, absmax=10.99 +2025-10-31 17:28:21,397 ERROR: Encountered non-finite generator loss at iter 8284; skipping update. +2025-10-31 17:28:21,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:21,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:21,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.57, max=11.45, mean=-0.3498, std=3.098, absmax=15.57 +2025-10-31 17:28:21,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.25, max=10.73, mean=-0.3765, std=2.797, absmax=13.25 +2025-10-31 17:28:21,900 ERROR: Encountered non-finite generator loss at iter 8285; skipping update. +2025-10-31 17:28:21,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:21,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:21,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:21,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:21,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.47, mean=-0.1303, std=3.019, absmax=12.47 +2025-10-31 17:28:21,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.962, max=9.814, mean=-0.1355, std=2.599, absmax=9.962 +2025-10-31 17:28:22,406 ERROR: Encountered non-finite generator loss at iter 8286; skipping update. +2025-10-31 17:28:22,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,408 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:22,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:22,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.85, mean=-0.1503, std=2.682, absmax=13.36 +2025-10-31 17:28:22,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=9.125, mean=-0.1642, std=2.318, absmax=11.35 +2025-10-31 17:28:22,911 ERROR: Encountered non-finite generator loss at iter 8287; skipping update. +2025-10-31 17:28:22,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:22,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:22,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:22,918 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:22,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.62, mean=-0.1726, std=3.218, absmax=15.62 +2025-10-31 17:28:22,920 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.02, mean=-0.1879, std=2.497, absmax=10.88 +2025-10-31 17:28:23,414 ERROR: Encountered non-finite generator loss at iter 8288; skipping update. +2025-10-31 17:28:23,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:23,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:23,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.45, mean=-0.3071, std=3.37, absmax=14.45 +2025-10-31 17:28:23,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=10.4, mean=-0.2823, std=2.963, absmax=12.3 +2025-10-31 17:28:23,918 ERROR: Encountered non-finite generator loss at iter 8289; skipping update. +2025-10-31 17:28:23,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,923 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:23,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:23,925 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:23,926 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:23,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14, mean=-0.03607, std=3.078, absmax=14 +2025-10-31 17:28:23,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=11.09, mean=-0.05417, std=2.554, absmax=11.09 +2025-10-31 17:28:24,425 ERROR: Encountered non-finite generator loss at iter 8290; skipping update. +2025-10-31 17:28:24,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:24,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:24,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.12, mean=-0.09471, std=3.275, absmax=14.12 +2025-10-31 17:28:24,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=10.83, mean=-0.1039, std=2.609, absmax=10.83 +2025-10-31 17:28:24,931 ERROR: Encountered non-finite generator loss at iter 8291; skipping update. +2025-10-31 17:28:24,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:24,936 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:24,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:24,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:24,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.07, mean=-0.03458, std=3.06, absmax=13.07 +2025-10-31 17:28:24,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=10.76, mean=-0.09195, std=2.69, absmax=11.64 +2025-10-31 17:28:25,438 ERROR: Encountered non-finite generator loss at iter 8292; skipping update. +2025-10-31 17:28:25,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:25,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:25,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=15.9, mean=-0.2367, std=2.764, absmax=15.9 +2025-10-31 17:28:25,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.073, mean=-0.2626, std=2.293, absmax=10.13 +2025-10-31 17:28:25,944 ERROR: Encountered non-finite generator loss at iter 8293; skipping update. +2025-10-31 17:28:25,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,947 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:25,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:25,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:25,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:25,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=11.79, mean=-0.1391, std=3.259, absmax=15.05 +2025-10-31 17:28:25,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=11.63, mean=-0.15, std=2.853, absmax=11.83 +2025-10-31 17:28:26,449 ERROR: Encountered non-finite generator loss at iter 8294; skipping update. +2025-10-31 17:28:26,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,451 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,451 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:26,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:26,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=10.05, mean=-0.2546, std=2.525, absmax=10.73 +2025-10-31 17:28:26,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.116, mean=-0.2465, std=2.32, absmax=10.07 +2025-10-31 17:28:26,950 ERROR: Encountered non-finite generator loss at iter 8295; skipping update. +2025-10-31 17:28:26,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,953 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,953 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:26,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:26,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:26,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:26,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=16.22, mean=-0.1258, std=2.799, absmax=16.22 +2025-10-31 17:28:26,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=14.05, mean=-0.09977, std=2.396, absmax=14.05 +2025-10-31 17:28:27,454 ERROR: Encountered non-finite generator loss at iter 8296; skipping update. +2025-10-31 17:28:27,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,457 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:27,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:27,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.93, mean=-0.2306, std=2.651, absmax=13.54 +2025-10-31 17:28:27,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.772, max=8.56, mean=-0.2168, std=2.268, absmax=9.772 +2025-10-31 17:28:27,958 ERROR: Encountered non-finite generator loss at iter 8297; skipping update. +2025-10-31 17:28:27,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:27,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:27,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:27,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:27,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.22, mean=-0.1539, std=2.888, absmax=13.22 +2025-10-31 17:28:27,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=10.13, mean=-0.1679, std=2.424, absmax=10.13 +2025-10-31 17:28:28,460 ERROR: Encountered non-finite generator loss at iter 8298; skipping update. +2025-10-31 17:28:28,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:28,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:28,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.67, mean=-0.1605, std=2.826, absmax=12.67 +2025-10-31 17:28:28,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.522, max=9.508, mean=-0.2092, std=2.439, absmax=9.522 +2025-10-31 17:28:28,963 ERROR: Encountered non-finite generator loss at iter 8299; skipping update. +2025-10-31 17:28:28,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,966 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:28,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:28,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:28,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:28,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=10.61, mean=-0.1695, std=2.209, absmax=10.61 +2025-10-31 17:28:28,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.876, max=7.721, mean=-0.156, std=1.822, absmax=7.876 +2025-10-31 17:28:29,466 ERROR: Encountered non-finite generator loss at iter 8300; skipping update. +2025-10-31 17:28:29,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,468 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,469 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:29,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:29,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.72, max=14.65, mean=-0.2477, std=2.899, absmax=16.72 +2025-10-31 17:28:29,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=13.67, mean=-0.2877, std=2.487, absmax=13.67 +2025-10-31 17:28:29,478 INFO: [29..][epoch: 0, step: 8,300, lr:(1.500e-04,)] [eta: 1 day, 16:59:45, time (data): 0.504 (0.000)] +2025-10-31 17:28:29,971 ERROR: Encountered non-finite generator loss at iter 8301; skipping update. +2025-10-31 17:28:29,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:29,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:29,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:29,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:29,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=9.951, mean=-0.2313, std=2.498, absmax=11.67 +2025-10-31 17:28:29,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.253, max=7.595, mean=-0.2645, std=2.072, absmax=9.253 +2025-10-31 17:28:30,474 ERROR: Encountered non-finite generator loss at iter 8302; skipping update. +2025-10-31 17:28:30,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:30,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:30,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.33, mean=-0.2892, std=3.18, absmax=12.83 +2025-10-31 17:28:30,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=9.33, mean=-0.3082, std=2.801, absmax=11.74 +2025-10-31 17:28:30,976 ERROR: Encountered non-finite generator loss at iter 8303; skipping update. +2025-10-31 17:28:30,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,981 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:30,982 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:30,982 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:30,983 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:30,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=16.52, mean=-0.1356, std=2.84, absmax=16.52 +2025-10-31 17:28:30,985 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=11.04, mean=-0.1245, std=2.22, absmax=11.87 +2025-10-31 17:28:31,478 ERROR: Encountered non-finite generator loss at iter 8304; skipping update. +2025-10-31 17:28:31,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,483 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:31,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:31,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.9, mean=-0.04719, std=3.477, absmax=15.9 +2025-10-31 17:28:31,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=14.89, mean=-0.1008, std=3.077, absmax=14.89 +2025-10-31 17:28:31,979 ERROR: Encountered non-finite generator loss at iter 8305; skipping update. +2025-10-31 17:28:31,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:31,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:31,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:31,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:31,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.95, mean=-0.229, std=2.889, absmax=13.13 +2025-10-31 17:28:31,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.677, mean=-0.2437, std=2.411, absmax=10.09 +2025-10-31 17:28:32,482 ERROR: Encountered non-finite generator loss at iter 8306; skipping update. +2025-10-31 17:28:32,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:32,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:32,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.85, mean=-0.3137, std=2.845, absmax=13.89 +2025-10-31 17:28:32,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.488, mean=-0.2812, std=2.461, absmax=11.28 +2025-10-31 17:28:32,983 ERROR: Encountered non-finite generator loss at iter 8307; skipping update. +2025-10-31 17:28:32,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:32,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:32,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:32,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:32,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.23, mean=0.0136, std=3.641, absmax=14.23 +2025-10-31 17:28:32,993 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=10.42, mean=-0.001395, std=3.057, absmax=10.84 +2025-10-31 17:28:33,486 ERROR: Encountered non-finite generator loss at iter 8308; skipping update. +2025-10-31 17:28:33,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,489 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:33,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:33,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.87, mean=-0.0791, std=2.99, absmax=12.01 +2025-10-31 17:28:33,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=9.765, mean=-0.05078, std=2.58, absmax=9.765 +2025-10-31 17:28:33,989 ERROR: Encountered non-finite generator loss at iter 8309; skipping update. +2025-10-31 17:28:33,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:33,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:33,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:33,995 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:33,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.83, mean=-0.09192, std=3.125, absmax=14.83 +2025-10-31 17:28:33,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=11.17, mean=-0.1174, std=2.824, absmax=11.17 +2025-10-31 17:28:34,489 ERROR: Encountered non-finite generator loss at iter 8310; skipping update. +2025-10-31 17:28:34,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:34,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:34,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=12.95, mean=-0.209, std=3.306, absmax=13.39 +2025-10-31 17:28:34,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.64, mean=-0.2238, std=2.669, absmax=10.64 +2025-10-31 17:28:34,991 ERROR: Encountered non-finite generator loss at iter 8311; skipping update. +2025-10-31 17:28:34,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:34,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:34,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:34,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:35,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=17.82, mean=-0.004957, std=2.935, absmax=17.82 +2025-10-31 17:28:35,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=14.53, mean=-0.03281, std=2.573, absmax=14.53 +2025-10-31 17:28:35,494 ERROR: Encountered non-finite generator loss at iter 8312; skipping update. +2025-10-31 17:28:35,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:35,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:35,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:35,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:35,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:35,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:35,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:35,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:35,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.69, max=10.74, mean=-0.3332, std=3.309, absmax=16.69 +2025-10-31 17:28:35,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.38, max=9.326, mean=-0.3283, std=2.934, absmax=13.38 +2025-10-31 17:28:35,996 ERROR: Encountered non-finite generator loss at iter 8313; skipping update. +2025-10-31 17:28:35,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:35,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:35,999 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:36,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:36,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:36,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:36,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:36,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:36,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.91, mean=-0.1533, std=3.49, absmax=14.91 +2025-10-31 17:28:36,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=12.51, mean=-0.17, std=2.733, absmax=12.51 +2025-10-31 17:28:36,499 ERROR: Encountered non-finite generator loss at iter 8314; skipping update. +2025-10-31 17:28:36,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:36,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:36,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:36,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:36,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:36,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:36,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:36,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:36,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.23, mean=-0.46, std=3.425, absmax=14.76 +2025-10-31 17:28:36,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.47, max=9.475, mean=-0.4025, std=2.981, absmax=14.47 +2025-10-31 17:28:37,000 ERROR: Encountered non-finite generator loss at iter 8315; skipping update. +2025-10-31 17:28:37,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:37,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:37,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=16.06, mean=0.09449, std=3.858, absmax=16.06 +2025-10-31 17:28:37,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=11.56, mean=0.06698, std=3.39, absmax=11.56 +2025-10-31 17:28:37,503 ERROR: Encountered non-finite generator loss at iter 8316; skipping update. +2025-10-31 17:28:37,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,506 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:37,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:37,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:37,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:37,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.53, mean=-0.1233, std=3.283, absmax=13.55 +2025-10-31 17:28:37,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.41, max=10.19, mean=-0.1276, std=2.925, absmax=12.41 +2025-10-31 17:28:38,003 ERROR: Encountered non-finite generator loss at iter 8317; skipping update. +2025-10-31 17:28:38,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,005 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,006 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,007 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,009 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:38,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:38,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.89, mean=-0.3383, std=2.937, absmax=13.35 +2025-10-31 17:28:38,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.733, mean=-0.3329, std=2.448, absmax=10.69 +2025-10-31 17:28:38,505 ERROR: Encountered non-finite generator loss at iter 8318; skipping update. +2025-10-31 17:28:38,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:38,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:38,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:38,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:38,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.41, mean=-0.118, std=2.922, absmax=13.77 +2025-10-31 17:28:38,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=10.57, mean=-0.1482, std=2.349, absmax=10.66 +2025-10-31 17:28:39,007 ERROR: Encountered non-finite generator loss at iter 8319; skipping update. +2025-10-31 17:28:39,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:39,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:39,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.26, mean=-0.06841, std=2.722, absmax=12.26 +2025-10-31 17:28:39,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.947, max=9.789, mean=-0.07886, std=2.239, absmax=9.789 +2025-10-31 17:28:39,510 ERROR: Encountered non-finite generator loss at iter 8320; skipping update. +2025-10-31 17:28:39,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:39,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:39,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:39,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:39,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.09, mean=-0.1256, std=3.371, absmax=13.09 +2025-10-31 17:28:39,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.73, mean=-0.1003, std=2.976, absmax=11.73 +2025-10-31 17:28:40,016 ERROR: Encountered non-finite generator loss at iter 8321; skipping update. +2025-10-31 17:28:40,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,019 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,020 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,021 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:40,022 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:40,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.46, mean=-0.02554, std=3.079, absmax=13.61 +2025-10-31 17:28:40,024 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=11.18, mean=-0.03678, std=2.525, absmax=11.74 +2025-10-31 17:28:40,516 ERROR: Encountered non-finite generator loss at iter 8322; skipping update. +2025-10-31 17:28:40,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:40,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:40,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:40,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:40,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.95, mean=-0.05932, std=3.018, absmax=13.04 +2025-10-31 17:28:40,526 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.385, max=9.611, mean=-0.0942, std=2.326, absmax=9.611 +2025-10-31 17:28:41,018 ERROR: Encountered non-finite generator loss at iter 8323; skipping update. +2025-10-31 17:28:41,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,023 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:41,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:41,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.13, mean=-0.1467, std=2.729, absmax=12.13 +2025-10-31 17:28:41,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.028, max=8.205, mean=-0.1537, std=2.238, absmax=8.205 +2025-10-31 17:28:41,523 ERROR: Encountered non-finite generator loss at iter 8324; skipping update. +2025-10-31 17:28:41,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:41,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:41,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:41,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:41,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.88, mean=-0.1926, std=3.267, absmax=14.88 +2025-10-31 17:28:41,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=10.29, mean=-0.1795, std=2.767, absmax=11.64 +2025-10-31 17:28:42,026 ERROR: Encountered non-finite generator loss at iter 8325; skipping update. +2025-10-31 17:28:42,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:42,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:42,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.98, mean=-0.1988, std=2.73, absmax=13.81 +2025-10-31 17:28:42,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=8.695, mean=-0.1633, std=2.264, absmax=11.51 +2025-10-31 17:28:42,529 ERROR: Encountered non-finite generator loss at iter 8326; skipping update. +2025-10-31 17:28:42,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:42,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:42,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:42,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:42,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.87, mean=-0.1322, std=3.326, absmax=12.93 +2025-10-31 17:28:42,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.162, mean=-0.141, std=2.636, absmax=10.07 +2025-10-31 17:28:43,032 ERROR: Encountered non-finite generator loss at iter 8327; skipping update. +2025-10-31 17:28:43,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:43,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:43,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.49, mean=-0.255, std=3.151, absmax=13.49 +2025-10-31 17:28:43,040 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.49, mean=-0.2171, std=2.46, absmax=10.76 +2025-10-31 17:28:43,533 ERROR: Encountered non-finite generator loss at iter 8328; skipping update. +2025-10-31 17:28:43,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:43,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:43,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:43,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:43,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=9.634, mean=-0.2601, std=2.464, absmax=12.31 +2025-10-31 17:28:43,542 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.444, mean=-0.2647, std=2.208, absmax=11.36 +2025-10-31 17:28:44,035 ERROR: Encountered non-finite generator loss at iter 8329; skipping update. +2025-10-31 17:28:44,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:44,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:44,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=11.68, mean=-0.1714, std=3.156, absmax=15.65 +2025-10-31 17:28:44,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.32, max=10.79, mean=-0.16, std=2.813, absmax=13.32 +2025-10-31 17:28:44,537 ERROR: Encountered non-finite generator loss at iter 8330; skipping update. +2025-10-31 17:28:44,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,540 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:44,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:44,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:44,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:44,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=12.52, mean=-0.3313, std=3.298, absmax=14.54 +2025-10-31 17:28:44,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.14, max=9.593, mean=-0.304, std=2.864, absmax=13.14 +2025-10-31 17:28:45,041 ERROR: Encountered non-finite generator loss at iter 8331; skipping update. +2025-10-31 17:28:45,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:45,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:45,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=9.614, mean=-0.3083, std=2.809, absmax=12.09 +2025-10-31 17:28:45,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=8.691, mean=-0.3318, std=2.479, absmax=10.47 +2025-10-31 17:28:45,544 ERROR: Encountered non-finite generator loss at iter 8332; skipping update. +2025-10-31 17:28:45,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:45,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:45,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:45,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:45,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=17.16, mean=-0.276, std=2.949, absmax=17.16 +2025-10-31 17:28:45,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.803, mean=-0.283, std=2.533, absmax=11.03 +2025-10-31 17:28:46,047 ERROR: Encountered non-finite generator loss at iter 8333; skipping update. +2025-10-31 17:28:46,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:46,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:46,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.78, mean=-0.1375, std=3.117, absmax=12.78 +2025-10-31 17:28:46,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.346, mean=-0.1407, std=2.465, absmax=10.01 +2025-10-31 17:28:46,552 ERROR: Encountered non-finite generator loss at iter 8334; skipping update. +2025-10-31 17:28:46,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:46,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:46,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:46,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:46,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.92, mean=0.01084, std=3.471, absmax=12.92 +2025-10-31 17:28:46,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=10.71, mean=-0.009554, std=2.881, absmax=10.92 +2025-10-31 17:28:47,055 ERROR: Encountered non-finite generator loss at iter 8335; skipping update. +2025-10-31 17:28:47,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:47,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:47,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=17.52, mean=-0.08963, std=2.897, absmax=17.52 +2025-10-31 17:28:47,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.771, max=12.19, mean=-0.1107, std=2.36, absmax=12.19 +2025-10-31 17:28:47,559 ERROR: Encountered non-finite generator loss at iter 8336; skipping update. +2025-10-31 17:28:47,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:47,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:47,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:47,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:47,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.1, mean=-0.1548, std=3.082, absmax=13.1 +2025-10-31 17:28:47,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.238, mean=-0.1515, std=2.481, absmax=10.85 +2025-10-31 17:28:48,063 ERROR: Encountered non-finite generator loss at iter 8337; skipping update. +2025-10-31 17:28:48,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:48,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:48,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.11, mean=-0.01625, std=3.085, absmax=12.34 +2025-10-31 17:28:48,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.551, max=9.422, mean=-0.07187, std=2.496, absmax=9.551 +2025-10-31 17:28:48,568 ERROR: Encountered non-finite generator loss at iter 8338; skipping update. +2025-10-31 17:28:48,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:48,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:48,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:48,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:48,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=14.45, mean=-0.1294, std=2.858, absmax=14.45 +2025-10-31 17:28:48,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.366, max=9.787, mean=-0.1427, std=2.391, absmax=9.787 +2025-10-31 17:28:49,070 ERROR: Encountered non-finite generator loss at iter 8339; skipping update. +2025-10-31 17:28:49,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,073 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,073 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,075 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,076 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,077 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:49,078 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:49,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=16.12, mean=-0.08341, std=3.197, absmax=16.12 +2025-10-31 17:28:49,080 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=8.881, mean=-0.1037, std=2.588, absmax=11.62 +2025-10-31 17:28:49,573 ERROR: Encountered non-finite generator loss at iter 8340; skipping update. +2025-10-31 17:28:49,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:49,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:49,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:49,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:49,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.05, mean=-0.2255, std=2.518, absmax=11.36 +2025-10-31 17:28:49,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.349, max=7.619, mean=-0.2369, std=2.137, absmax=8.349 +2025-10-31 17:28:50,076 ERROR: Encountered non-finite generator loss at iter 8341; skipping update. +2025-10-31 17:28:50,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:50,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:50,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=11.7, mean=-0.2854, std=2.958, absmax=14.17 +2025-10-31 17:28:50,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=10.37, mean=-0.2648, std=2.486, absmax=10.37 +2025-10-31 17:28:50,579 ERROR: Encountered non-finite generator loss at iter 8342; skipping update. +2025-10-31 17:28:50,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:50,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:50,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:50,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:50,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.51, mean=-0.143, std=3.263, absmax=14.51 +2025-10-31 17:28:50,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=11.76, mean=-0.111, std=2.765, absmax=11.76 +2025-10-31 17:28:51,095 ERROR: Encountered non-finite generator loss at iter 8343; skipping update. +2025-10-31 17:28:51,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,099 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:51,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:51,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=16, mean=-0.1109, std=3.792, absmax=16 +2025-10-31 17:28:51,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=11.93, mean=-0.1294, std=3.169, absmax=12.12 +2025-10-31 17:28:51,602 ERROR: Encountered non-finite generator loss at iter 8344; skipping update. +2025-10-31 17:28:51,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:51,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:51,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:51,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:51,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.09, mean=-0.1728, std=2.936, absmax=13.7 +2025-10-31 17:28:51,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.469, mean=-0.1755, std=2.495, absmax=10.08 +2025-10-31 17:28:52,106 ERROR: Encountered non-finite generator loss at iter 8345; skipping update. +2025-10-31 17:28:52,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:52,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:52,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.79, mean=-0.08051, std=3.071, absmax=12.87 +2025-10-31 17:28:52,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.923, max=8.664, mean=-0.1074, std=2.434, absmax=9.923 +2025-10-31 17:28:52,607 ERROR: Encountered non-finite generator loss at iter 8346; skipping update. +2025-10-31 17:28:52,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,610 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,610 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:52,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:52,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:52,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:52,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.37, mean=-0.2279, std=2.492, absmax=11.42 +2025-10-31 17:28:52,615 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.181, mean=-0.2758, std=2.136, absmax=10.15 +2025-10-31 17:28:53,109 ERROR: Encountered non-finite generator loss at iter 8347; skipping update. +2025-10-31 17:28:53,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:53,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:53,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=13.08, mean=-0.1175, std=2.798, absmax=13.08 +2025-10-31 17:28:53,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.726, max=11.55, mean=-0.1062, std=2.576, absmax=11.55 +2025-10-31 17:28:53,612 ERROR: Encountered non-finite generator loss at iter 8348; skipping update. +2025-10-31 17:28:53,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,615 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,615 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,617 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,618 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:53,618 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:53,619 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:53,620 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:53,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.84, mean=-0.1031, std=3.182, absmax=13.84 +2025-10-31 17:28:53,622 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.619, mean=-0.1473, std=2.556, absmax=10.93 +2025-10-31 17:28:54,116 ERROR: Encountered non-finite generator loss at iter 8349; skipping update. +2025-10-31 17:28:54,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:54,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:54,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=15.09, mean=-0.174, std=2.997, absmax=15.09 +2025-10-31 17:28:54,125 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=11.65, mean=-0.1807, std=2.592, absmax=11.65 +2025-10-31 17:28:54,619 ERROR: Encountered non-finite generator loss at iter 8350; skipping update. +2025-10-31 17:28:54,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:54,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:54,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:54,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:54,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.64, mean=-0.2116, std=2.709, absmax=12.71 +2025-10-31 17:28:54,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=8.49, mean=-0.2429, std=2.341, absmax=11.1 +2025-10-31 17:28:55,124 ERROR: Encountered non-finite generator loss at iter 8351; skipping update. +2025-10-31 17:28:55,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,129 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:55,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:55,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.66, mean=-0.2587, std=2.886, absmax=13.66 +2025-10-31 17:28:55,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=8.957, mean=-0.2473, std=2.337, absmax=10.28 +2025-10-31 17:28:55,628 ERROR: Encountered non-finite generator loss at iter 8352; skipping update. +2025-10-31 17:28:55,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,632 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,633 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:55,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:55,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:55,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:55,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.69, mean=-0.2589, std=2.818, absmax=12.69 +2025-10-31 17:28:55,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.1, mean=-0.2802, std=2.564, absmax=11.29 +2025-10-31 17:28:56,134 ERROR: Encountered non-finite generator loss at iter 8353; skipping update. +2025-10-31 17:28:56,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:56,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:56,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.24, mean=-0.2799, std=3.062, absmax=13.48 +2025-10-31 17:28:56,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10, mean=-0.2539, std=2.65, absmax=10.7 +2025-10-31 17:28:56,638 ERROR: Encountered non-finite generator loss at iter 8354; skipping update. +2025-10-31 17:28:56,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:56,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:56,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:56,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:56,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.59, mean=-0.1014, std=3.25, absmax=13.59 +2025-10-31 17:28:56,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=12.55, mean=-0.09799, std=2.774, absmax=12.55 +2025-10-31 17:28:57,148 ERROR: Encountered non-finite generator loss at iter 8355; skipping update. +2025-10-31 17:28:57,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:57,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:57,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=14.02, mean=-0.146, std=2.993, absmax=14.02 +2025-10-31 17:28:57,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.543, max=11.18, mean=-0.1545, std=2.375, absmax=11.18 +2025-10-31 17:28:57,651 ERROR: Encountered non-finite generator loss at iter 8356; skipping update. +2025-10-31 17:28:57,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:57,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:57,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:57,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:57,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=13.9, mean=-0.3056, std=2.611, absmax=13.9 +2025-10-31 17:28:57,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.106, max=7.752, mean=-0.2497, std=2.262, absmax=9.106 +2025-10-31 17:28:58,155 ERROR: Encountered non-finite generator loss at iter 8357; skipping update. +2025-10-31 17:28:58,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:58,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:58,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.62, mean=-0.2668, std=2.908, absmax=14.62 +2025-10-31 17:28:58,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.786, mean=-0.2557, std=2.509, absmax=10.59 +2025-10-31 17:28:58,663 ERROR: Encountered non-finite generator loss at iter 8358; skipping update. +2025-10-31 17:28:58,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:58,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:58,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:58,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:58,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.68, mean=-0.1024, std=3.342, absmax=13.74 +2025-10-31 17:28:58,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=10.27, mean=-0.08971, std=2.8, absmax=10.66 +2025-10-31 17:28:59,167 ERROR: Encountered non-finite generator loss at iter 8359; skipping update. +2025-10-31 17:28:59,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,171 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,172 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,173 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,174 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:59,175 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:59,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.17, mean=-0.2628, std=2.84, absmax=14.08 +2025-10-31 17:28:59,177 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.622, mean=-0.2528, std=2.529, absmax=11.01 +2025-10-31 17:28:59,669 ERROR: Encountered non-finite generator loss at iter 8360; skipping update. +2025-10-31 17:28:59,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,673 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:28:59,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:28:59,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:28:59,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:28:59,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.74, mean=-0.2602, std=2.78, absmax=11.12 +2025-10-31 17:28:59,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=7.88, mean=-0.2362, std=2.461, absmax=10.84 +2025-10-31 17:29:00,171 ERROR: Encountered non-finite generator loss at iter 8361; skipping update. +2025-10-31 17:29:00,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:00,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:00,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.42, mean=-0.08336, std=3.058, absmax=13.42 +2025-10-31 17:29:00,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.61, mean=-0.08258, std=2.516, absmax=10.61 +2025-10-31 17:29:00,673 ERROR: Encountered non-finite generator loss at iter 8362; skipping update. +2025-10-31 17:29:00,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:00,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:00,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:00,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:00,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.28, mean=-0.006128, std=2.898, absmax=13.28 +2025-10-31 17:29:00,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.887, max=8.114, mean=-0.01141, std=2.359, absmax=8.887 +2025-10-31 17:29:01,173 ERROR: Encountered non-finite generator loss at iter 8363; skipping update. +2025-10-31 17:29:01,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:01,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:01,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=16.25, mean=-0.2305, std=2.838, absmax=16.25 +2025-10-31 17:29:01,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=12.43, mean=-0.2332, std=2.532, absmax=12.43 +2025-10-31 17:29:01,676 ERROR: Encountered non-finite generator loss at iter 8364; skipping update. +2025-10-31 17:29:01,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:01,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:01,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:01,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:01,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.42, mean=0.01034, std=3.1, absmax=14.42 +2025-10-31 17:29:01,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=11.14, mean=-0.04056, std=2.549, absmax=11.14 +2025-10-31 17:29:02,177 ERROR: Encountered non-finite generator loss at iter 8365; skipping update. +2025-10-31 17:29:02,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:02,185 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:02,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.37, mean=-0.1757, std=2.908, absmax=13.37 +2025-10-31 17:29:02,187 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=11.35, mean=-0.1766, std=2.429, absmax=11.64 +2025-10-31 17:29:02,678 ERROR: Encountered non-finite generator loss at iter 8366; skipping update. +2025-10-31 17:29:02,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:02,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:02,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:02,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:02,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.97, mean=-0.2824, std=3.139, absmax=13.97 +2025-10-31 17:29:02,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.3, mean=-0.273, std=2.629, absmax=11.3 +2025-10-31 17:29:03,181 ERROR: Encountered non-finite generator loss at iter 8367; skipping update. +2025-10-31 17:29:03,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:03,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:03,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.3, mean=-0.1536, std=2.754, absmax=13.83 +2025-10-31 17:29:03,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.88, mean=-0.1775, std=2.244, absmax=11.38 +2025-10-31 17:29:03,681 ERROR: Encountered non-finite generator loss at iter 8368; skipping update. +2025-10-31 17:29:03,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:03,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:03,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:03,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:03,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.8, mean=-0.1411, std=3.457, absmax=14.8 +2025-10-31 17:29:03,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=10.88, mean=-0.152, std=2.825, absmax=11.97 +2025-10-31 17:29:04,181 ERROR: Encountered non-finite generator loss at iter 8369; skipping update. +2025-10-31 17:29:04,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:04,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:04,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=16.87, mean=-0.2817, std=2.974, absmax=16.87 +2025-10-31 17:29:04,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=14.24, mean=-0.2803, std=2.477, absmax=14.24 +2025-10-31 17:29:04,684 ERROR: Encountered non-finite generator loss at iter 8370; skipping update. +2025-10-31 17:29:04,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:04,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:04,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:04,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:04,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.8, mean=-0.1428, std=3.152, absmax=14.8 +2025-10-31 17:29:04,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.728, max=11.87, mean=-0.1069, std=2.711, absmax=11.87 +2025-10-31 17:29:05,186 ERROR: Encountered non-finite generator loss at iter 8371; skipping update. +2025-10-31 17:29:05,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:05,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:05,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.54, mean=0.04559, std=3.115, absmax=13.54 +2025-10-31 17:29:05,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.739, max=11.9, mean=0.08186, std=2.696, absmax=11.9 +2025-10-31 17:29:05,688 ERROR: Encountered non-finite generator loss at iter 8372; skipping update. +2025-10-31 17:29:05,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:05,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:05,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:05,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:05,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.27, mean=-0.1891, std=2.888, absmax=12.59 +2025-10-31 17:29:05,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.479, mean=-0.1897, std=2.578, absmax=10.67 +2025-10-31 17:29:06,189 ERROR: Encountered non-finite generator loss at iter 8373; skipping update. +2025-10-31 17:29:06,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,192 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:06,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:06,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.25, mean=-0.08325, std=2.623, absmax=12.25 +2025-10-31 17:29:06,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.984, max=10.59, mean=-0.09255, std=2.302, absmax=10.59 +2025-10-31 17:29:06,687 ERROR: Encountered non-finite generator loss at iter 8374; skipping update. +2025-10-31 17:29:06,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:06,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:06,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:06,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:06,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.63, mean=-0.1618, std=2.976, absmax=14.18 +2025-10-31 17:29:06,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.786, mean=-0.1452, std=2.483, absmax=11.17 +2025-10-31 17:29:07,188 ERROR: Encountered non-finite generator loss at iter 8375; skipping update. +2025-10-31 17:29:07,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,191 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:07,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:07,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.08, mean=-0.198, std=3.345, absmax=14.08 +2025-10-31 17:29:07,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.83, mean=-0.1862, std=2.956, absmax=11.83 +2025-10-31 17:29:07,690 ERROR: Encountered non-finite generator loss at iter 8376; skipping update. +2025-10-31 17:29:07,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,694 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,695 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,696 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:07,697 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:07,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:07,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:07,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.05, mean=-0.1216, std=3.013, absmax=13.05 +2025-10-31 17:29:07,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.8, max=9.132, mean=-0.1097, std=2.461, absmax=9.8 +2025-10-31 17:29:08,192 ERROR: Encountered non-finite generator loss at iter 8377; skipping update. +2025-10-31 17:29:08,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:08,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:08,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.76, mean=0.1723, std=3.457, absmax=14.88 +2025-10-31 17:29:08,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.864, max=11.42, mean=0.1327, std=2.812, absmax=11.42 +2025-10-31 17:29:08,694 ERROR: Encountered non-finite generator loss at iter 8378; skipping update. +2025-10-31 17:29:08,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:08,703 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:08,704 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:08,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:08,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.36, max=11.12, mean=-0.1475, std=2.956, absmax=16.36 +2025-10-31 17:29:08,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=10.89, mean=-0.1498, std=2.863, absmax=11.59 +2025-10-31 17:29:09,202 ERROR: Encountered non-finite generator loss at iter 8379; skipping update. +2025-10-31 17:29:09,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:09,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:09,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=13.01, mean=0.1584, std=3.244, absmax=13.01 +2025-10-31 17:29:09,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.538, max=9.492, mean=0.1022, std=2.625, absmax=9.538 +2025-10-31 17:29:09,707 ERROR: Encountered non-finite generator loss at iter 8380; skipping update. +2025-10-31 17:29:09,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,710 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,711 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:09,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:09,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:09,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:09,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=14.97, mean=-0.125, std=3.38, absmax=14.97 +2025-10-31 17:29:09,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=11.9, mean=-0.0953, std=2.814, absmax=11.9 +2025-10-31 17:29:10,214 ERROR: Encountered non-finite generator loss at iter 8381; skipping update. +2025-10-31 17:29:10,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,217 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:10,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:10,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.26, mean=-0.1749, std=3.045, absmax=13.35 +2025-10-31 17:29:10,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.79, max=9.522, mean=-0.1973, std=2.602, absmax=11.79 +2025-10-31 17:29:10,720 ERROR: Encountered non-finite generator loss at iter 8382; skipping update. +2025-10-31 17:29:10,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:10,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:10,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:10,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:10,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.18, mean=-0.2543, std=3.107, absmax=14.34 +2025-10-31 17:29:10,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=8.103, mean=-0.2968, std=2.622, absmax=11.3 +2025-10-31 17:29:11,223 ERROR: Encountered non-finite generator loss at iter 8383; skipping update. +2025-10-31 17:29:11,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:11,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:11,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.32, mean=-0.1071, std=3.22, absmax=13.74 +2025-10-31 17:29:11,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.98, max=10.06, mean=-0.1093, std=3.047, absmax=12.98 +2025-10-31 17:29:11,728 ERROR: Encountered non-finite generator loss at iter 8384; skipping update. +2025-10-31 17:29:11,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,731 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:11,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:11,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:11,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:11,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.1, mean=-0.2687, std=2.951, absmax=13.09 +2025-10-31 17:29:11,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.861, mean=-0.2209, std=2.457, absmax=10.59 +2025-10-31 17:29:12,229 ERROR: Encountered non-finite generator loss at iter 8385; skipping update. +2025-10-31 17:29:12,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,234 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:12,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:12,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=12.22, mean=-0.3187, std=3.527, absmax=15.28 +2025-10-31 17:29:12,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=9.746, mean=-0.2544, std=3.114, absmax=12.1 +2025-10-31 17:29:12,733 ERROR: Encountered non-finite generator loss at iter 8386; skipping update. +2025-10-31 17:29:12,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,738 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:12,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:12,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:12,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:12,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.25, mean=-0.07126, std=3.208, absmax=12.25 +2025-10-31 17:29:12,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.34, mean=-0.04164, std=2.843, absmax=11.34 +2025-10-31 17:29:13,240 ERROR: Encountered non-finite generator loss at iter 8387; skipping update. +2025-10-31 17:29:13,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:13,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:13,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.24, mean=-0.1138, std=3.171, absmax=14.44 +2025-10-31 17:29:13,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=10.8, mean=-0.1479, std=2.66, absmax=11.27 +2025-10-31 17:29:13,746 ERROR: Encountered non-finite generator loss at iter 8388; skipping update. +2025-10-31 17:29:13,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:13,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:13,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:13,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:13,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.62, mean=-0.1536, std=3.656, absmax=12.81 +2025-10-31 17:29:13,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=10.95, mean=-0.1986, std=3.11, absmax=11.01 +2025-10-31 17:29:14,251 ERROR: Encountered non-finite generator loss at iter 8389; skipping update. +2025-10-31 17:29:14,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,255 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,256 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:14,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:14,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.39, mean=0.03504, std=3.494, absmax=13.39 +2025-10-31 17:29:14,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=12.83, mean=0.02858, std=3.068, absmax=12.83 +2025-10-31 17:29:14,755 ERROR: Encountered non-finite generator loss at iter 8390; skipping update. +2025-10-31 17:29:14,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:14,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:14,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:14,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:14,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=12.22, mean=-0.2949, std=3.008, absmax=15 +2025-10-31 17:29:14,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.502, mean=-0.2827, std=2.332, absmax=10.12 +2025-10-31 17:29:15,261 ERROR: Encountered non-finite generator loss at iter 8391; skipping update. +2025-10-31 17:29:15,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:15,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:15,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.59, mean=-0.06871, std=2.99, absmax=14.59 +2025-10-31 17:29:15,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=11.81, mean=-0.0608, std=2.589, absmax=11.81 +2025-10-31 17:29:15,766 ERROR: Encountered non-finite generator loss at iter 8392; skipping update. +2025-10-31 17:29:15,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:15,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:15,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:15,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:15,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.39, mean=-0.1035, std=3.091, absmax=13.39 +2025-10-31 17:29:15,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.19, mean=-0.1274, std=2.671, absmax=11.19 +2025-10-31 17:29:16,273 ERROR: Encountered non-finite generator loss at iter 8393; skipping update. +2025-10-31 17:29:16,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:16,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:16,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=16.22, mean=-0.001175, std=3.307, absmax=16.22 +2025-10-31 17:29:16,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=15.17, mean=-0.02144, std=2.719, absmax=15.17 +2025-10-31 17:29:16,776 ERROR: Encountered non-finite generator loss at iter 8394; skipping update. +2025-10-31 17:29:16,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:16,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:16,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:16,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:16,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.47, mean=-0.09534, std=3.11, absmax=14.47 +2025-10-31 17:29:16,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.67, max=10.05, mean=-0.1404, std=2.774, absmax=12.67 +2025-10-31 17:29:17,281 ERROR: Encountered non-finite generator loss at iter 8395; skipping update. +2025-10-31 17:29:17,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:17,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:17,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=22.21, mean=0.3441, std=3.801, absmax=22.21 +2025-10-31 17:29:17,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=14.83, mean=0.2795, std=3.311, absmax=14.83 +2025-10-31 17:29:17,786 ERROR: Encountered non-finite generator loss at iter 8396; skipping update. +2025-10-31 17:29:17,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,789 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:17,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:17,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:17,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:17,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.76, mean=-0.07786, std=2.827, absmax=13.76 +2025-10-31 17:29:17,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.986, max=9.191, mean=-0.081, std=2.305, absmax=9.191 +2025-10-31 17:29:18,291 ERROR: Encountered non-finite generator loss at iter 8397; skipping update. +2025-10-31 17:29:18,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,294 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,295 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,296 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:18,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:18,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.4, mean=-0.007073, std=3.215, absmax=13.4 +2025-10-31 17:29:18,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=10.77, mean=-0.001811, std=2.679, absmax=11.77 +2025-10-31 17:29:18,798 ERROR: Encountered non-finite generator loss at iter 8398; skipping update. +2025-10-31 17:29:18,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,800 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:18,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:18,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:18,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:18,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.32, mean=-0.1548, std=3.079, absmax=13.32 +2025-10-31 17:29:18,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=8.968, mean=-0.1704, std=2.424, absmax=10.59 +2025-10-31 17:29:19,300 ERROR: Encountered non-finite generator loss at iter 8399; skipping update. +2025-10-31 17:29:19,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:19,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:19,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.08, mean=-0.06614, std=3.681, absmax=14.39 +2025-10-31 17:29:19,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.2, mean=-0.05863, std=2.997, absmax=11.18 +2025-10-31 17:29:19,806 ERROR: Encountered non-finite generator loss at iter 8400; skipping update. +2025-10-31 17:29:19,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,809 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:19,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:19,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:19,813 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:19,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=16.9, mean=-0.3015, std=3.448, absmax=16.9 +2025-10-31 17:29:19,815 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=12.35, mean=-0.3135, std=2.767, absmax=12.35 +2025-10-31 17:29:19,817 INFO: [29..][epoch: 0, step: 8,400, lr:(1.500e-04,)] [eta: 1 day, 16:53:35, time (data): 0.504 (0.000)] +2025-10-31 17:29:20,312 ERROR: Encountered non-finite generator loss at iter 8401; skipping update. +2025-10-31 17:29:20,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:20,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:20,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.91, mean=0.09171, std=2.944, absmax=13.91 +2025-10-31 17:29:20,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.086, max=10.51, mean=0.1071, std=2.511, absmax=10.51 +2025-10-31 17:29:20,816 ERROR: Encountered non-finite generator loss at iter 8402; skipping update. +2025-10-31 17:29:20,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:20,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:20,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:20,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:20,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.92, mean=-0.04781, std=3.03, absmax=12.92 +2025-10-31 17:29:20,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.56, max=9.862, mean=-0.08158, std=2.514, absmax=9.862 +2025-10-31 17:29:21,319 ERROR: Encountered non-finite generator loss at iter 8403; skipping update. +2025-10-31 17:29:21,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,322 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,324 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,325 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,326 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:21,327 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:21,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=10.31, mean=-0.1553, std=2.714, absmax=10.75 +2025-10-31 17:29:21,329 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=7.98, mean=-0.1523, std=2.291, absmax=10.23 +2025-10-31 17:29:21,825 ERROR: Encountered non-finite generator loss at iter 8404; skipping update. +2025-10-31 17:29:21,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,827 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,828 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,829 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:21,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:21,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:21,830 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:21,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=13.64, mean=-0.277, std=2.974, absmax=13.64 +2025-10-31 17:29:21,832 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.925, max=10.36, mean=-0.3119, std=2.57, absmax=10.36 +2025-10-31 17:29:22,329 ERROR: Encountered non-finite generator loss at iter 8405; skipping update. +2025-10-31 17:29:22,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:22,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:22,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.02, mean=-0.3049, std=3.404, absmax=14.02 +2025-10-31 17:29:22,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=10.62, mean=-0.2606, std=2.979, absmax=12.05 +2025-10-31 17:29:22,832 ERROR: Encountered non-finite generator loss at iter 8406; skipping update. +2025-10-31 17:29:22,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:22,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:22,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:22,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:22,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=16.53, mean=-0.1459, std=3.192, absmax=16.53 +2025-10-31 17:29:22,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.648, max=10.5, mean=-0.148, std=2.614, absmax=10.5 +2025-10-31 17:29:23,337 ERROR: Encountered non-finite generator loss at iter 8407; skipping update. +2025-10-31 17:29:23,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,341 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:23,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:23,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.35, mean=-0.09401, std=2.98, absmax=13.94 +2025-10-31 17:29:23,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=9.703, mean=-0.1272, std=2.41, absmax=10.23 +2025-10-31 17:29:23,844 ERROR: Encountered non-finite generator loss at iter 8408; skipping update. +2025-10-31 17:29:23,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:23,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:23,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:23,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:23,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.52, mean=-0.1395, std=3.323, absmax=12.52 +2025-10-31 17:29:23,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=9.786, mean=-0.1749, std=2.766, absmax=11.57 +2025-10-31 17:29:24,351 ERROR: Encountered non-finite generator loss at iter 8409; skipping update. +2025-10-31 17:29:24,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:24,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:24,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.84, mean=0.01782, std=3.406, absmax=13.84 +2025-10-31 17:29:24,366 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=12.8, mean=0.04743, std=2.909, absmax=12.8 +2025-10-31 17:29:24,861 ERROR: Encountered non-finite generator loss at iter 8410; skipping update. +2025-10-31 17:29:24,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:24,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:24,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:24,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:24,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.33, mean=-0.04478, std=2.853, absmax=12.29 +2025-10-31 17:29:24,870 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.596, mean=-0.01253, std=2.374, absmax=10.62 +2025-10-31 17:29:25,366 ERROR: Encountered non-finite generator loss at iter 8411; skipping update. +2025-10-31 17:29:25,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:25,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:25,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.7, mean=-0.1826, std=2.893, absmax=12.11 +2025-10-31 17:29:25,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.037, mean=-0.2117, std=2.441, absmax=10.78 +2025-10-31 17:29:25,870 ERROR: Encountered non-finite generator loss at iter 8412; skipping update. +2025-10-31 17:29:25,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,873 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:25,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:25,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:25,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:25,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.44, mean=-0.1535, std=3.264, absmax=13.76 +2025-10-31 17:29:25,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=9.168, mean=-0.2015, std=2.701, absmax=11.54 +2025-10-31 17:29:26,375 ERROR: Encountered non-finite generator loss at iter 8413; skipping update. +2025-10-31 17:29:26,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:26,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:26,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=16.41, mean=-0.09922, std=3.455, absmax=16.41 +2025-10-31 17:29:26,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.876, max=10.54, mean=-0.0713, std=2.793, absmax=10.54 +2025-10-31 17:29:26,877 ERROR: Encountered non-finite generator loss at iter 8414; skipping update. +2025-10-31 17:29:26,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:26,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:26,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:26,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:26,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.16, mean=-0.0725, std=3.082, absmax=12.16 +2025-10-31 17:29:26,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=12.43, mean=-0.05769, std=2.71, absmax=12.43 +2025-10-31 17:29:27,380 ERROR: Encountered non-finite generator loss at iter 8415; skipping update. +2025-10-31 17:29:27,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,384 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:27,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:27,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=16.39, mean=-0.1571, std=3.367, absmax=16.39 +2025-10-31 17:29:27,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.73, mean=-0.1615, std=2.837, absmax=11.73 +2025-10-31 17:29:27,880 ERROR: Encountered non-finite generator loss at iter 8416; skipping update. +2025-10-31 17:29:27,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,884 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,885 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,886 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:27,887 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:27,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:27,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:27,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.18, mean=-0.1104, std=3.021, absmax=13.18 +2025-10-31 17:29:27,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=10.43, mean=-0.1367, std=2.83, absmax=10.8 +2025-10-31 17:29:28,385 ERROR: Encountered non-finite generator loss at iter 8417; skipping update. +2025-10-31 17:29:28,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,390 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,391 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,392 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,393 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:28,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:28,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=16.33, mean=-0.2484, std=2.648, absmax=16.33 +2025-10-31 17:29:28,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.66, mean=-0.2622, std=2.294, absmax=10.95 +2025-10-31 17:29:28,890 ERROR: Encountered non-finite generator loss at iter 8418; skipping update. +2025-10-31 17:29:28,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,892 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:28,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:28,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:28,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:28,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=10.93, mean=-0.2579, std=2.82, absmax=13.64 +2025-10-31 17:29:28,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.636, mean=-0.2356, std=2.425, absmax=10.92 +2025-10-31 17:29:29,394 ERROR: Encountered non-finite generator loss at iter 8419; skipping update. +2025-10-31 17:29:29,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:29,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:29,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.04, mean=-0.227, std=2.988, absmax=14.04 +2025-10-31 17:29:29,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.934, max=11.09, mean=-0.2019, std=2.634, absmax=11.09 +2025-10-31 17:29:29,897 ERROR: Encountered non-finite generator loss at iter 8420; skipping update. +2025-10-31 17:29:29,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:29,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:29,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:29,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:29,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.56, mean=-0.1861, std=3.108, absmax=13.37 +2025-10-31 17:29:29,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.3, max=9.103, mean=-0.1711, std=2.605, absmax=11.3 +2025-10-31 17:29:30,401 ERROR: Encountered non-finite generator loss at iter 8421; skipping update. +2025-10-31 17:29:30,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,406 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,408 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,408 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,409 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:30,410 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:30,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.31, mean=-0.1267, std=2.73, absmax=12.31 +2025-10-31 17:29:30,413 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.565, max=9.784, mean=-0.09243, std=2.331, absmax=9.784 +2025-10-31 17:29:30,906 ERROR: Encountered non-finite generator loss at iter 8422; skipping update. +2025-10-31 17:29:30,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,909 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,910 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:30,911 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:30,912 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:30,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:30,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=16.16, mean=-0.02579, std=3.561, absmax=16.16 +2025-10-31 17:29:30,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=12.68, mean=-0.0377, std=2.957, absmax=12.68 +2025-10-31 17:29:31,408 ERROR: Encountered non-finite generator loss at iter 8423; skipping update. +2025-10-31 17:29:31,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:31,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:31,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=14.97, mean=-0.3016, std=3.503, absmax=14.97 +2025-10-31 17:29:31,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=11.39, mean=-0.3263, std=3.013, absmax=11.64 +2025-10-31 17:29:31,912 ERROR: Encountered non-finite generator loss at iter 8424; skipping update. +2025-10-31 17:29:31,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:31,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:31,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:31,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:31,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.81, mean=-0.1442, std=2.619, absmax=13.81 +2025-10-31 17:29:31,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=9.737, mean=-0.1437, std=2.361, absmax=9.737 +2025-10-31 17:29:32,415 ERROR: Encountered non-finite generator loss at iter 8425; skipping update. +2025-10-31 17:29:32,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:32,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:32,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=11.27, mean=-0.1959, std=2.761, absmax=11.27 +2025-10-31 17:29:32,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.708, max=8.78, mean=-0.2196, std=2.266, absmax=9.708 +2025-10-31 17:29:32,919 ERROR: Encountered non-finite generator loss at iter 8426; skipping update. +2025-10-31 17:29:32,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:32,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:32,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:32,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:32,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=14.19, mean=-0.2358, std=3.701, absmax=14.71 +2025-10-31 17:29:32,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.94, mean=-0.2411, std=3.162, absmax=11.71 +2025-10-31 17:29:33,424 ERROR: Encountered non-finite generator loss at iter 8427; skipping update. +2025-10-31 17:29:33,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:33,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:33,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.88, mean=-0.1416, std=2.999, absmax=14.88 +2025-10-31 17:29:33,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.663, max=11.72, mean=-0.1137, std=2.518, absmax=11.72 +2025-10-31 17:29:33,929 ERROR: Encountered non-finite generator loss at iter 8428; skipping update. +2025-10-31 17:29:33,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,931 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:33,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:33,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:33,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:33,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.78, mean=0.273, std=3.46, absmax=14.78 +2025-10-31 17:29:33,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.988, max=10.9, mean=0.2488, std=3.03, absmax=10.9 +2025-10-31 17:29:34,438 ERROR: Encountered non-finite generator loss at iter 8429; skipping update. +2025-10-31 17:29:34,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,441 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:34,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:34,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.88, mean=-0.1952, std=2.582, absmax=11.12 +2025-10-31 17:29:34,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.436, max=10.11, mean=-0.1722, std=2.164, absmax=10.11 +2025-10-31 17:29:34,937 ERROR: Encountered non-finite generator loss at iter 8430; skipping update. +2025-10-31 17:29:34,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:34,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:34,944 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:34,945 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:34,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.98, mean=-0.1126, std=2.705, absmax=13.01 +2025-10-31 17:29:34,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.224, max=8.319, mean=-0.1067, std=2.277, absmax=9.224 +2025-10-31 17:29:35,440 ERROR: Encountered non-finite generator loss at iter 8431; skipping update. +2025-10-31 17:29:35,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,443 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:35,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:35,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=13.32, mean=-0.2877, std=3.351, absmax=14.06 +2025-10-31 17:29:35,450 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=9.113, mean=-0.3211, std=2.798, absmax=11.32 +2025-10-31 17:29:35,942 ERROR: Encountered non-finite generator loss at iter 8432; skipping update. +2025-10-31 17:29:35,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:35,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:35,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:35,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:35,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.86, mean=-0.2355, std=3.029, absmax=11.52 +2025-10-31 17:29:35,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=8.787, mean=-0.2494, std=2.553, absmax=11.15 +2025-10-31 17:29:36,445 ERROR: Encountered non-finite generator loss at iter 8433; skipping update. +2025-10-31 17:29:36,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:36,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:36,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.76, mean=-0.1225, std=3.135, absmax=14.76 +2025-10-31 17:29:36,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=9.314, mean=-0.08222, std=2.547, absmax=9.824 +2025-10-31 17:29:36,948 ERROR: Encountered non-finite generator loss at iter 8434; skipping update. +2025-10-31 17:29:36,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:36,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:36,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:36,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:36,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.37, mean=0.006763, std=2.91, absmax=13.37 +2025-10-31 17:29:36,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.35, mean=-0.02389, std=2.44, absmax=11.54 +2025-10-31 17:29:37,450 ERROR: Encountered non-finite generator loss at iter 8435; skipping update. +2025-10-31 17:29:37,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:37,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:37,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=13.17, mean=-0.009526, std=4.101, absmax=15.56 +2025-10-31 17:29:37,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.4, max=11.27, mean=-0.04949, std=3.447, absmax=13.4 +2025-10-31 17:29:37,952 ERROR: Encountered non-finite generator loss at iter 8436; skipping update. +2025-10-31 17:29:37,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,956 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,957 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,958 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:37,959 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:37,960 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:37,961 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:37,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.14, mean=-0.04652, std=2.863, absmax=13.63 +2025-10-31 17:29:37,963 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=12.02, mean=-0.02622, std=2.496, absmax=12.02 +2025-10-31 17:29:38,456 ERROR: Encountered non-finite generator loss at iter 8437; skipping update. +2025-10-31 17:29:38,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:38,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:38,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=14.05, mean=-0.247, std=2.88, absmax=14.98 +2025-10-31 17:29:38,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.62, max=9.77, mean=-0.2426, std=2.44, absmax=9.77 +2025-10-31 17:29:38,959 ERROR: Encountered non-finite generator loss at iter 8438; skipping update. +2025-10-31 17:29:38,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:38,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:38,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:38,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:38,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.65, mean=-0.2048, std=2.901, absmax=11.65 +2025-10-31 17:29:38,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=10.63, mean=-0.1674, std=2.619, absmax=10.63 +2025-10-31 17:29:39,461 ERROR: Encountered non-finite generator loss at iter 8439; skipping update. +2025-10-31 17:29:39,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:39,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:39,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=12.31, mean=-0.2069, std=2.987, absmax=15.1 +2025-10-31 17:29:39,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.95, max=9.062, mean=-0.2126, std=2.501, absmax=12.95 +2025-10-31 17:29:39,964 ERROR: Encountered non-finite generator loss at iter 8440; skipping update. +2025-10-31 17:29:39,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,966 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,967 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,968 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:39,969 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:39,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:39,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:39,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.55, mean=0.04272, std=3.48, absmax=14.55 +2025-10-31 17:29:39,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.91, max=11.31, mean=0.001892, std=2.93, absmax=12.91 +2025-10-31 17:29:40,466 ERROR: Encountered non-finite generator loss at iter 8441; skipping update. +2025-10-31 17:29:40,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:40,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:40,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.82, mean=-0.1831, std=3.227, absmax=13.82 +2025-10-31 17:29:40,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.35, mean=-0.1645, std=2.56, absmax=10.75 +2025-10-31 17:29:40,970 ERROR: Encountered non-finite generator loss at iter 8442; skipping update. +2025-10-31 17:29:40,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:40,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:40,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:40,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:40,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=17.61, mean=-0.1584, std=2.962, absmax=17.61 +2025-10-31 17:29:40,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.77, mean=-0.1497, std=2.483, absmax=10.77 +2025-10-31 17:29:41,472 ERROR: Encountered non-finite generator loss at iter 8443; skipping update. +2025-10-31 17:29:41,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:41,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:41,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.86, mean=0.1005, std=3.133, absmax=13.86 +2025-10-31 17:29:41,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=11.44, mean=0.1112, std=2.699, absmax=11.44 +2025-10-31 17:29:41,977 ERROR: Encountered non-finite generator loss at iter 8444; skipping update. +2025-10-31 17:29:41,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:41,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:41,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:41,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:41,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=17.22, mean=-0.1501, std=3.031, absmax=17.22 +2025-10-31 17:29:41,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=12.53, mean=-0.1175, std=2.505, absmax=12.53 +2025-10-31 17:29:42,479 ERROR: Encountered non-finite generator loss at iter 8445; skipping update. +2025-10-31 17:29:42,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:42,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:42,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.26, mean=-0.2674, std=2.774, absmax=13.26 +2025-10-31 17:29:42,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.773, mean=-0.2265, std=2.337, absmax=10.32 +2025-10-31 17:29:42,982 ERROR: Encountered non-finite generator loss at iter 8446; skipping update. +2025-10-31 17:29:42,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:42,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:42,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:42,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:42,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.35, mean=-0.2893, std=2.563, absmax=12.24 +2025-10-31 17:29:42,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.94, max=8.019, mean=-0.2785, std=2.204, absmax=9.94 +2025-10-31 17:29:43,485 ERROR: Encountered non-finite generator loss at iter 8447; skipping update. +2025-10-31 17:29:43,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:43,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:43,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=14.33, mean=-0.144, std=2.581, absmax=14.33 +2025-10-31 17:29:43,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.684, mean=-0.1641, std=2.13, absmax=10.04 +2025-10-31 17:29:43,988 ERROR: Encountered non-finite generator loss at iter 8448; skipping update. +2025-10-31 17:29:43,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:43,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:43,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:43,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:43,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.2, mean=0.03153, std=3.08, absmax=13.75 +2025-10-31 17:29:43,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.7, mean=0.03319, std=2.549, absmax=10.7 +2025-10-31 17:29:44,491 ERROR: Encountered non-finite generator loss at iter 8449; skipping update. +2025-10-31 17:29:44,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:44,494 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:44,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:44,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:44,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:44,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:44,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:44,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:44,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.52, mean=0.1552, std=3.335, absmax=13.52 +2025-10-31 17:29:44,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.8, max=11.05, mean=0.1185, std=2.883, absmax=11.8 +2025-10-31 17:29:44,993 ERROR: Encountered non-finite generator loss at iter 8450; skipping update. +2025-10-31 17:29:44,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:44,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:44,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:44,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:44,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:45,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:45,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:45,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:45,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=11.21, mean=-0.1635, std=2.769, absmax=14.14 +2025-10-31 17:29:45,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=7.646, mean=-0.2011, std=2.33, absmax=9.333 +2025-10-31 17:29:45,496 ERROR: Encountered non-finite generator loss at iter 8451; skipping update. +2025-10-31 17:29:45,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:45,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:45,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:45,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:45,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:45,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:45,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:45,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:45,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.94, mean=0.03788, std=2.865, absmax=12.94 +2025-10-31 17:29:45,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.828, max=10.36, mean=0.04748, std=2.451, absmax=10.36 +2025-10-31 17:29:45,998 ERROR: Encountered non-finite generator loss at iter 8452; skipping update. +2025-10-31 17:29:45,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:46,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:46,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=12.41, mean=-0.125, std=2.967, absmax=14.67 +2025-10-31 17:29:46,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.144, mean=-0.09072, std=2.51, absmax=10.45 +2025-10-31 17:29:46,516 ERROR: Encountered non-finite generator loss at iter 8453; skipping update. +2025-10-31 17:29:46,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:46,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:46,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:46,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:46,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=10.45, mean=-0.2197, std=2.572, absmax=11.02 +2025-10-31 17:29:46,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.401, mean=-0.1802, std=2.325, absmax=10.17 +2025-10-31 17:29:47,036 ERROR: Encountered non-finite generator loss at iter 8454; skipping update. +2025-10-31 17:29:47,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:47,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:47,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.67, mean=-0.2489, std=2.991, absmax=12.74 +2025-10-31 17:29:47,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.504, mean=-0.2063, std=2.522, absmax=10.51 +2025-10-31 17:29:47,538 ERROR: Encountered non-finite generator loss at iter 8455; skipping update. +2025-10-31 17:29:47,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:47,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:47,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:47,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:47,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=16.77, mean=0.2228, std=3.808, absmax=16.77 +2025-10-31 17:29:47,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.67, mean=0.1874, std=3.158, absmax=11.67 +2025-10-31 17:29:48,040 ERROR: Encountered non-finite generator loss at iter 8456; skipping update. +2025-10-31 17:29:48,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:48,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:48,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=17.75, mean=-0.1242, std=2.934, absmax=17.75 +2025-10-31 17:29:48,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=10.93, mean=-0.1361, std=2.508, absmax=10.93 +2025-10-31 17:29:48,542 ERROR: Encountered non-finite generator loss at iter 8457; skipping update. +2025-10-31 17:29:48,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,546 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,547 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:48,549 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:48,550 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:48,551 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:48,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.61, mean=0.01274, std=2.885, absmax=14.61 +2025-10-31 17:29:48,553 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.93, mean=0.01169, std=2.704, absmax=11.93 +2025-10-31 17:29:49,061 ERROR: Encountered non-finite generator loss at iter 8458; skipping update. +2025-10-31 17:29:49,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,064 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:49,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:49,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=15.42, mean=-0.3241, std=2.897, absmax=15.42 +2025-10-31 17:29:49,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=12.35, mean=-0.319, std=2.429, absmax=12.35 +2025-10-31 17:29:49,561 ERROR: Encountered non-finite generator loss at iter 8459; skipping update. +2025-10-31 17:29:49,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:49,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:49,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:49,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:49,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.53, mean=-0.3441, std=3.305, absmax=14.45 +2025-10-31 17:29:49,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=9.81, mean=-0.2597, std=2.811, absmax=12.27 +2025-10-31 17:29:50,066 ERROR: Encountered non-finite generator loss at iter 8460; skipping update. +2025-10-31 17:29:50,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:50,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:50,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.78, mean=-0.1956, std=3.204, absmax=13.28 +2025-10-31 17:29:50,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.28, max=10.95, mean=-0.2033, std=2.857, absmax=12.28 +2025-10-31 17:29:50,568 ERROR: Encountered non-finite generator loss at iter 8461; skipping update. +2025-10-31 17:29:50,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:50,573 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:50,574 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:50,575 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:50,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.35, mean=-0.1797, std=2.948, absmax=13.39 +2025-10-31 17:29:50,577 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=8.359, mean=-0.1563, std=2.401, absmax=11.45 +2025-10-31 17:29:51,069 ERROR: Encountered non-finite generator loss at iter 8462; skipping update. +2025-10-31 17:29:51,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,072 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,074 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:51,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:51,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=10.51, mean=-0.2313, std=2.745, absmax=14.33 +2025-10-31 17:29:51,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=7.753, mean=-0.2131, std=2.181, absmax=12.01 +2025-10-31 17:29:51,571 ERROR: Encountered non-finite generator loss at iter 8463; skipping update. +2025-10-31 17:29:51,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:51,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:51,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:51,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:51,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.13, mean=-0.2491, std=2.775, absmax=15.13 +2025-10-31 17:29:51,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.838, max=10.93, mean=-0.2608, std=2.296, absmax=10.93 +2025-10-31 17:29:52,071 ERROR: Encountered non-finite generator loss at iter 8464; skipping update. +2025-10-31 17:29:52,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,076 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,077 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:52,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:52,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.47, mean=-0.1502, std=3.071, absmax=13.32 +2025-10-31 17:29:52,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=10.15, mean=-0.2063, std=2.596, absmax=11.9 +2025-10-31 17:29:52,572 ERROR: Encountered non-finite generator loss at iter 8465; skipping update. +2025-10-31 17:29:52,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:52,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:52,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:52,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:52,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.22, mean=0.06585, std=3.158, absmax=13.22 +2025-10-31 17:29:52,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=10.14, mean=0.08516, std=2.714, absmax=10.14 +2025-10-31 17:29:53,074 ERROR: Encountered non-finite generator loss at iter 8466; skipping update. +2025-10-31 17:29:53,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:53,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:53,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=13.63, mean=-0.2427, std=3.726, absmax=15.2 +2025-10-31 17:29:53,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.68, max=9.708, mean=-0.2364, std=3.078, absmax=12.68 +2025-10-31 17:29:53,575 ERROR: Encountered non-finite generator loss at iter 8467; skipping update. +2025-10-31 17:29:53,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,577 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:53,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:53,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:53,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:53,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.64, mean=-0.1234, std=2.699, absmax=13.77 +2025-10-31 17:29:53,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=9.032, mean=-0.1833, std=2.342, absmax=11.53 +2025-10-31 17:29:54,077 ERROR: Encountered non-finite generator loss at iter 8468; skipping update. +2025-10-31 17:29:54,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:54,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:54,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.22, max=10.92, mean=-0.1576, std=2.653, absmax=10.92 +2025-10-31 17:29:54,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.124, max=9.677, mean=-0.1752, std=2.374, absmax=9.677 +2025-10-31 17:29:54,576 ERROR: Encountered non-finite generator loss at iter 8469; skipping update. +2025-10-31 17:29:54,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,578 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:54,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:54,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:54,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:54,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.4, mean=-0.2564, std=3, absmax=12.3 +2025-10-31 17:29:54,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=9.884, mean=-0.2695, std=2.748, absmax=11.44 +2025-10-31 17:29:55,076 ERROR: Encountered non-finite generator loss at iter 8470; skipping update. +2025-10-31 17:29:55,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:55,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:55,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.04, mean=-0.2287, std=2.954, absmax=13.04 +2025-10-31 17:29:55,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.719, mean=-0.2192, std=2.442, absmax=10.02 +2025-10-31 17:29:55,577 ERROR: Encountered non-finite generator loss at iter 8471; skipping update. +2025-10-31 17:29:55,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:55,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:55,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:55,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:55,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.29, mean=-0.2261, std=2.696, absmax=14.29 +2025-10-31 17:29:55,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=11.12, mean=-0.2422, std=2.347, absmax=11.12 +2025-10-31 17:29:56,078 ERROR: Encountered non-finite generator loss at iter 8472; skipping update. +2025-10-31 17:29:56,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:56,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:56,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=10.66, mean=-0.3105, std=2.689, absmax=14.41 +2025-10-31 17:29:56,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=8.883, mean=-0.3277, std=2.31, absmax=11.83 +2025-10-31 17:29:56,579 ERROR: Encountered non-finite generator loss at iter 8473; skipping update. +2025-10-31 17:29:56,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,582 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,585 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:56,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:56,586 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:56,587 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:56,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.5, mean=-0.2972, std=2.845, absmax=13.68 +2025-10-31 17:29:56,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=8.596, mean=-0.2785, std=2.481, absmax=10.93 +2025-10-31 17:29:57,081 ERROR: Encountered non-finite generator loss at iter 8474; skipping update. +2025-10-31 17:29:57,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,083 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:57,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:57,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=14.82, mean=-0.04516, std=2.931, absmax=14.82 +2025-10-31 17:29:57,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.235, max=10.1, mean=-0.08147, std=2.65, absmax=10.1 +2025-10-31 17:29:57,582 ERROR: Encountered non-finite generator loss at iter 8475; skipping update. +2025-10-31 17:29:57,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,585 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,587 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:57,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:57,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:57,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:57,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.44, mean=-0.3359, std=2.45, absmax=12.49 +2025-10-31 17:29:57,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.927, mean=-0.3136, std=2.106, absmax=10.43 +2025-10-31 17:29:58,082 ERROR: Encountered non-finite generator loss at iter 8476; skipping update. +2025-10-31 17:29:58,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:58,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:58,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.33, mean=-0.07587, std=3.323, absmax=13.33 +2025-10-31 17:29:58,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.73, max=9.948, mean=-0.09256, std=2.672, absmax=9.948 +2025-10-31 17:29:58,584 ERROR: Encountered non-finite generator loss at iter 8477; skipping update. +2025-10-31 17:29:58,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:58,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:58,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:58,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:58,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.24, mean=0.06161, std=3.149, absmax=13.24 +2025-10-31 17:29:58,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.616, max=11.93, mean=0.03414, std=2.631, absmax=11.93 +2025-10-31 17:29:59,086 ERROR: Encountered non-finite generator loss at iter 8478; skipping update. +2025-10-31 17:29:59,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,089 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:59,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:59,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=10.34, mean=-0.3508, std=2.853, absmax=12.07 +2025-10-31 17:29:59,096 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=7.921, mean=-0.3341, std=2.375, absmax=11.75 +2025-10-31 17:29:59,588 ERROR: Encountered non-finite generator loss at iter 8479; skipping update. +2025-10-31 17:29:59,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:29:59,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:29:59,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:29:59,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:29:59,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.09, mean=-0.1887, std=2.927, absmax=14.09 +2025-10-31 17:29:59,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.982, max=11.26, mean=-0.196, std=2.457, absmax=11.26 +2025-10-31 17:30:00,088 ERROR: Encountered non-finite generator loss at iter 8480; skipping update. +2025-10-31 17:30:00,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:00,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:00,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.96, mean=-0.06517, std=3.235, absmax=13.96 +2025-10-31 17:30:00,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=12.09, mean=-0.06977, std=2.764, absmax=12.09 +2025-10-31 17:30:00,590 ERROR: Encountered non-finite generator loss at iter 8481; skipping update. +2025-10-31 17:30:00,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,592 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:00,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:00,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:00,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:00,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.42, mean=-0.1699, std=3.45, absmax=12.6 +2025-10-31 17:30:00,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=8.918, mean=-0.1282, std=2.839, absmax=9.769 +2025-10-31 17:30:01,090 ERROR: Encountered non-finite generator loss at iter 8482; skipping update. +2025-10-31 17:30:01,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,092 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,093 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,094 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:01,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:01,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.52, mean=-0.1793, std=3.16, absmax=14.38 +2025-10-31 17:30:01,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.89, mean=-0.1763, std=2.596, absmax=11.04 +2025-10-31 17:30:01,590 ERROR: Encountered non-finite generator loss at iter 8483; skipping update. +2025-10-31 17:30:01,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:01,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:01,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:01,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:01,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.94, mean=-0.2919, std=3.201, absmax=14.94 +2025-10-31 17:30:01,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.99, mean=-0.2997, std=2.703, absmax=10.99 +2025-10-31 17:30:02,091 ERROR: Encountered non-finite generator loss at iter 8484; skipping update. +2025-10-31 17:30:02,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:02,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:02,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.88, mean=-0.05063, std=3.347, absmax=13.88 +2025-10-31 17:30:02,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=12.56, mean=-0.06418, std=2.789, absmax=12.56 +2025-10-31 17:30:02,594 ERROR: Encountered non-finite generator loss at iter 8485; skipping update. +2025-10-31 17:30:02,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:02,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:02,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:02,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:02,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=14.03, mean=-0.2558, std=2.926, absmax=14.87 +2025-10-31 17:30:02,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.87, mean=-0.2404, std=2.575, absmax=10.87 +2025-10-31 17:30:03,095 ERROR: Encountered non-finite generator loss at iter 8486; skipping update. +2025-10-31 17:30:03,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:03,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:03,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.69, mean=-0.1147, std=3.153, absmax=15.69 +2025-10-31 17:30:03,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=10.6, mean=-0.174, std=2.557, absmax=10.92 +2025-10-31 17:30:03,596 ERROR: Encountered non-finite generator loss at iter 8487; skipping update. +2025-10-31 17:30:03,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:03,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:03,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:03,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:03,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.65, mean=-0.02166, std=2.741, absmax=12.65 +2025-10-31 17:30:03,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.596, max=9.331, mean=-0.04998, std=2.291, absmax=9.331 +2025-10-31 17:30:04,100 ERROR: Encountered non-finite generator loss at iter 8488; skipping update. +2025-10-31 17:30:04,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:04,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:04,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.56, mean=-0.2317, std=2.911, absmax=12.7 +2025-10-31 17:30:04,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.916, max=7.694, mean=-0.2241, std=2.277, absmax=8.916 +2025-10-31 17:30:04,600 ERROR: Encountered non-finite generator loss at iter 8489; skipping update. +2025-10-31 17:30:04,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:04,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:04,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:04,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:04,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.15, mean=-0.1273, std=2.676, absmax=12.15 +2025-10-31 17:30:04,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.081, max=11.58, mean=-0.1331, std=2.301, absmax=11.58 +2025-10-31 17:30:05,106 ERROR: Encountered non-finite generator loss at iter 8490; skipping update. +2025-10-31 17:30:05,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:05,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:05,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.8, mean=-0.2438, std=3.144, absmax=13.8 +2025-10-31 17:30:05,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=8.836, mean=-0.2073, std=2.686, absmax=10.6 +2025-10-31 17:30:05,608 ERROR: Encountered non-finite generator loss at iter 8491; skipping update. +2025-10-31 17:30:05,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:05,613 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:05,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:05,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:05,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=13.36, mean=-0.2559, std=2.622, absmax=13.36 +2025-10-31 17:30:05,617 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.504, max=10.38, mean=-0.2319, std=2.314, absmax=10.38 +2025-10-31 17:30:06,113 ERROR: Encountered non-finite generator loss at iter 8492; skipping update. +2025-10-31 17:30:06,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:06,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:06,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.34, mean=-0.1262, std=3.125, absmax=13.34 +2025-10-31 17:30:06,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.744, max=9.503, mean=-0.1311, std=2.525, absmax=9.503 +2025-10-31 17:30:06,616 ERROR: Encountered non-finite generator loss at iter 8493; skipping update. +2025-10-31 17:30:06,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:06,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:06,623 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:06,624 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:06,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=13.54, mean=-0.1898, std=2.589, absmax=13.54 +2025-10-31 17:30:06,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.075, max=8.043, mean=-0.1886, std=2.129, absmax=9.075 +2025-10-31 17:30:07,121 ERROR: Encountered non-finite generator loss at iter 8494; skipping update. +2025-10-31 17:30:07,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:07,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:07,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=13.86, mean=0.017, std=3.352, absmax=14.84 +2025-10-31 17:30:07,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=11.79, mean=-0.01155, std=2.907, absmax=11.79 +2025-10-31 17:30:07,625 ERROR: Encountered non-finite generator loss at iter 8495; skipping update. +2025-10-31 17:30:07,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:07,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:07,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:07,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:07,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.49, mean=-0.226, std=2.866, absmax=12.49 +2025-10-31 17:30:07,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=7.992, mean=-0.267, std=2.363, absmax=10.43 +2025-10-31 17:30:08,127 ERROR: Encountered non-finite generator loss at iter 8496; skipping update. +2025-10-31 17:30:08,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:08,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:08,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.72, mean=0.09151, std=3.277, absmax=13.72 +2025-10-31 17:30:08,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.49, mean=0.05487, std=2.749, absmax=10.49 +2025-10-31 17:30:08,630 ERROR: Encountered non-finite generator loss at iter 8497; skipping update. +2025-10-31 17:30:08,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,633 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:08,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:08,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:08,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:08,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.56, mean=-0.2894, std=2.912, absmax=12.17 +2025-10-31 17:30:08,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.913, mean=-0.2556, std=2.553, absmax=10.69 +2025-10-31 17:30:09,161 ERROR: Encountered non-finite generator loss at iter 8498; skipping update. +2025-10-31 17:30:09,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:09,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:09,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=15.06, mean=0.1934, std=3.426, absmax=15.06 +2025-10-31 17:30:09,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=11.71, mean=0.1199, std=2.712, absmax=11.71 +2025-10-31 17:30:09,664 ERROR: Encountered non-finite generator loss at iter 8499; skipping update. +2025-10-31 17:30:09,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:09,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:09,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:09,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:09,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.37, mean=-0.3123, std=2.84, absmax=12.87 +2025-10-31 17:30:09,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.69, max=8.844, mean=-0.3147, std=2.38, absmax=9.69 +2025-10-31 17:30:10,164 ERROR: Encountered non-finite generator loss at iter 8500; skipping update. +2025-10-31 17:30:10,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:10,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:10,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=13.34, mean=-0.4085, std=3.1, absmax=15.27 +2025-10-31 17:30:10,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.34, mean=-0.3432, std=2.642, absmax=10.38 +2025-10-31 17:30:10,174 INFO: [29..][epoch: 0, step: 8,500, lr:(1.500e-04,)] [eta: 1 day, 16:47:34, time (data): 0.503 (0.000)] +2025-10-31 17:30:10,666 ERROR: Encountered non-finite generator loss at iter 8501; skipping update. +2025-10-31 17:30:10,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:10,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:10,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:10,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:10,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.61, mean=-0.1252, std=3.04, absmax=13.61 +2025-10-31 17:30:10,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=8.967, mean=-0.1377, std=2.467, absmax=9.619 +2025-10-31 17:30:11,170 ERROR: Encountered non-finite generator loss at iter 8502; skipping update. +2025-10-31 17:30:11,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:11,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:11,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.5, mean=-0.1982, std=2.875, absmax=12.5 +2025-10-31 17:30:11,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.811, max=7.828, mean=-0.1784, std=2.378, absmax=8.811 +2025-10-31 17:30:11,672 ERROR: Encountered non-finite generator loss at iter 8503; skipping update. +2025-10-31 17:30:11,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:11,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:11,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:11,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:11,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.7, mean=-0.1164, std=2.814, absmax=13.7 +2025-10-31 17:30:11,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=9.677, mean=-0.1617, std=2.336, absmax=10.04 +2025-10-31 17:30:12,174 ERROR: Encountered non-finite generator loss at iter 8504; skipping update. +2025-10-31 17:30:12,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:12,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:12,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=14.72, mean=0.01435, std=3.132, absmax=14.72 +2025-10-31 17:30:12,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.629, max=14.14, mean=-0.01729, std=2.889, absmax=14.14 +2025-10-31 17:30:12,676 ERROR: Encountered non-finite generator loss at iter 8505; skipping update. +2025-10-31 17:30:12,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:12,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:12,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:12,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:12,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.61, mean=0.2042, std=3.508, absmax=13.61 +2025-10-31 17:30:12,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=14.11, mean=0.2128, std=3.466, absmax=14.11 +2025-10-31 17:30:13,178 ERROR: Encountered non-finite generator loss at iter 8506; skipping update. +2025-10-31 17:30:13,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:13,185 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:13,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=15.75, mean=0.06478, std=3.293, absmax=15.75 +2025-10-31 17:30:13,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.409, max=11.95, mean=0.03026, std=2.721, absmax=11.95 +2025-10-31 17:30:13,679 ERROR: Encountered non-finite generator loss at iter 8507; skipping update. +2025-10-31 17:30:13,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,682 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:13,685 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:13,686 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:13,687 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:13,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.08, mean=-0.2554, std=3.236, absmax=13.36 +2025-10-31 17:30:13,689 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=8.502, mean=-0.2661, std=2.765, absmax=10.93 +2025-10-31 17:30:14,180 ERROR: Encountered non-finite generator loss at iter 8508; skipping update. +2025-10-31 17:30:14,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,183 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:14,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:14,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=16.22, mean=-0.2397, std=3.116, absmax=16.22 +2025-10-31 17:30:14,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=13.6, mean=-0.2216, std=2.764, absmax=13.6 +2025-10-31 17:30:14,678 ERROR: Encountered non-finite generator loss at iter 8509; skipping update. +2025-10-31 17:30:14,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:14,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:14,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:14,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:14,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.36, mean=0.2866, std=3.278, absmax=13.36 +2025-10-31 17:30:14,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.371, max=10.14, mean=0.1817, std=2.701, absmax=10.14 +2025-10-31 17:30:15,179 ERROR: Encountered non-finite generator loss at iter 8510; skipping update. +2025-10-31 17:30:15,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:15,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:15,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.8, mean=-0.2763, std=3.158, absmax=12.8 +2025-10-31 17:30:15,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=8.732, mean=-0.2733, std=2.612, absmax=11.18 +2025-10-31 17:30:15,680 ERROR: Encountered non-finite generator loss at iter 8511; skipping update. +2025-10-31 17:30:15,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,682 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:15,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:15,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:15,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:15,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.27, mean=0.2062, std=3.604, absmax=15.27 +2025-10-31 17:30:15,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=11.83, mean=0.1348, std=2.943, absmax=11.83 +2025-10-31 17:30:16,182 ERROR: Encountered non-finite generator loss at iter 8512; skipping update. +2025-10-31 17:30:16,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,184 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,185 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,186 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,187 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,188 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:16,189 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:16,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.62, mean=-0.1559, std=2.665, absmax=12.62 +2025-10-31 17:30:16,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.592, max=8.971, mean=-0.1447, std=2.168, absmax=8.971 +2025-10-31 17:30:16,685 ERROR: Encountered non-finite generator loss at iter 8513; skipping update. +2025-10-31 17:30:16,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:16,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:16,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:16,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:16,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=17.13, mean=0.03455, std=3.203, absmax=17.13 +2025-10-31 17:30:16,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=15.32, mean=0.009561, std=2.79, absmax=15.32 +2025-10-31 17:30:17,187 ERROR: Encountered non-finite generator loss at iter 8514; skipping update. +2025-10-31 17:30:17,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,190 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,192 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,193 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:17,194 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:17,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.38, mean=-0.1492, std=2.912, absmax=13.38 +2025-10-31 17:30:17,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.187, max=9.496, mean=-0.1996, std=2.295, absmax=9.496 +2025-10-31 17:30:17,689 ERROR: Encountered non-finite generator loss at iter 8515; skipping update. +2025-10-31 17:30:17,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,694 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,695 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:17,696 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:17,697 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:17,698 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:17,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.07, mean=-0.1926, std=3.26, absmax=14.07 +2025-10-31 17:30:17,700 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=11.1, mean=-0.1756, std=2.618, absmax=11.33 +2025-10-31 17:30:18,192 ERROR: Encountered non-finite generator loss at iter 8516; skipping update. +2025-10-31 17:30:18,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:18,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:18,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=14.46, mean=0.09539, std=3.44, absmax=14.46 +2025-10-31 17:30:18,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.185, max=13.27, mean=0.07869, std=2.916, absmax=13.27 +2025-10-31 17:30:18,695 ERROR: Encountered non-finite generator loss at iter 8517; skipping update. +2025-10-31 17:30:18,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,700 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:18,701 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:18,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:18,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:18,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.97, mean=-0.08938, std=3.116, absmax=12.97 +2025-10-31 17:30:18,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=11.2, mean=-0.1117, std=2.632, absmax=11.2 +2025-10-31 17:30:19,195 ERROR: Encountered non-finite generator loss at iter 8518; skipping update. +2025-10-31 17:30:19,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,198 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:19,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:19,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=11.99, mean=-0.1599, std=3.171, absmax=13.67 +2025-10-31 17:30:19,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.69, max=8.355, mean=-0.1744, std=2.626, absmax=11.69 +2025-10-31 17:30:19,698 ERROR: Encountered non-finite generator loss at iter 8519; skipping update. +2025-10-31 17:30:19,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:19,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:19,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:19,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:19,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.77, mean=-0.06436, std=3.004, absmax=11.77 +2025-10-31 17:30:19,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=10.5, mean=-0.07007, std=2.538, absmax=10.5 +2025-10-31 17:30:20,204 ERROR: Encountered non-finite generator loss at iter 8520; skipping update. +2025-10-31 17:30:20,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:20,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:20,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.87, mean=-0.3218, std=3.323, absmax=13.66 +2025-10-31 17:30:20,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=8.912, mean=-0.29, std=2.862, absmax=11.75 +2025-10-31 17:30:20,712 ERROR: Encountered non-finite generator loss at iter 8521; skipping update. +2025-10-31 17:30:20,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:20,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:20,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:20,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:20,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=12.34, mean=-0.1114, std=2.595, absmax=15.36 +2025-10-31 17:30:20,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.599, mean=-0.1066, std=2.225, absmax=10.16 +2025-10-31 17:30:21,218 ERROR: Encountered non-finite generator loss at iter 8522; skipping update. +2025-10-31 17:30:21,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:21,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:21,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.16, mean=-0.1475, std=2.77, absmax=13.4 +2025-10-31 17:30:21,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.58, mean=-0.1608, std=2.427, absmax=10.58 +2025-10-31 17:30:21,719 ERROR: Encountered non-finite generator loss at iter 8523; skipping update. +2025-10-31 17:30:21,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,722 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,723 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:21,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:21,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:21,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:21,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.07, mean=-0.07536, std=2.617, absmax=12.07 +2025-10-31 17:30:21,729 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.26, max=9.436, mean=-0.1064, std=2.194, absmax=9.436 +2025-10-31 17:30:22,220 ERROR: Encountered non-finite generator loss at iter 8524; skipping update. +2025-10-31 17:30:22,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:22,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:22,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=9.735, mean=-0.1831, std=2.423, absmax=12.92 +2025-10-31 17:30:22,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.944, max=8.213, mean=-0.1776, std=2.07, absmax=9.944 +2025-10-31 17:30:22,721 ERROR: Encountered non-finite generator loss at iter 8525; skipping update. +2025-10-31 17:30:22,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:22,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:22,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:22,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:22,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.4, mean=-0.2538, std=2.63, absmax=12.4 +2025-10-31 17:30:22,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.032, mean=-0.2803, std=2.193, absmax=10.76 +2025-10-31 17:30:23,221 ERROR: Encountered non-finite generator loss at iter 8526; skipping update. +2025-10-31 17:30:23,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:23,229 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:23,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.61, mean=-0.2594, std=2.965, absmax=13.98 +2025-10-31 17:30:23,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=8.353, mean=-0.2558, std=2.508, absmax=11.15 +2025-10-31 17:30:23,721 ERROR: Encountered non-finite generator loss at iter 8527; skipping update. +2025-10-31 17:30:23,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:23,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:23,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:23,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:23,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=15.24, mean=0.2266, std=3.552, absmax=15.24 +2025-10-31 17:30:23,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.735, max=12.28, mean=0.1827, std=2.979, absmax=12.28 +2025-10-31 17:30:24,224 ERROR: Encountered non-finite generator loss at iter 8528; skipping update. +2025-10-31 17:30:24,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,229 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,230 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:24,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:24,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.54, mean=-0.1831, std=3.403, absmax=13.7 +2025-10-31 17:30:24,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=10.78, mean=-0.1976, std=2.834, absmax=10.8 +2025-10-31 17:30:24,725 ERROR: Encountered non-finite generator loss at iter 8529; skipping update. +2025-10-31 17:30:24,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,728 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:24,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:24,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:24,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:24,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=11.56, mean=-0.3548, std=2.98, absmax=15.48 +2025-10-31 17:30:24,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=9.031, mean=-0.3022, std=2.59, absmax=11.78 +2025-10-31 17:30:25,227 ERROR: Encountered non-finite generator loss at iter 8530; skipping update. +2025-10-31 17:30:25,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:25,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:25,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.38, mean=-0.1552, std=3.437, absmax=13.38 +2025-10-31 17:30:25,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.19, mean=-0.1541, std=2.767, absmax=10.19 +2025-10-31 17:30:25,728 ERROR: Encountered non-finite generator loss at iter 8531; skipping update. +2025-10-31 17:30:25,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:25,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:25,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:25,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:25,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.5, mean=-0.1581, std=3.438, absmax=13.52 +2025-10-31 17:30:25,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=9.825, mean=-0.2059, std=2.867, absmax=11.64 +2025-10-31 17:30:26,230 ERROR: Encountered non-finite generator loss at iter 8532; skipping update. +2025-10-31 17:30:26,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,233 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,235 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,235 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,236 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:26,237 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:26,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=10.91, mean=-0.1959, std=2.694, absmax=14.54 +2025-10-31 17:30:26,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=8.802, mean=-0.2121, std=2.296, absmax=11.67 +2025-10-31 17:30:26,732 ERROR: Encountered non-finite generator loss at iter 8533; skipping update. +2025-10-31 17:30:26,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:26,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:26,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:26,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:26,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=14.81, mean=-0.2359, std=2.58, absmax=14.81 +2025-10-31 17:30:26,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=9.929, mean=-0.2261, std=2.16, absmax=9.929 +2025-10-31 17:30:27,233 ERROR: Encountered non-finite generator loss at iter 8534; skipping update. +2025-10-31 17:30:27,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:27,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:27,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.35, mean=-0.285, std=2.867, absmax=12.68 +2025-10-31 17:30:27,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.17, mean=-0.2737, std=2.488, absmax=10.35 +2025-10-31 17:30:27,734 ERROR: Encountered non-finite generator loss at iter 8535; skipping update. +2025-10-31 17:30:27,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:27,740 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:27,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:27,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:27,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.87, mean=-0.4087, std=2.502, absmax=11.53 +2025-10-31 17:30:27,743 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=7.826, mean=-0.3914, std=2.312, absmax=10.36 +2025-10-31 17:30:28,234 ERROR: Encountered non-finite generator loss at iter 8536; skipping update. +2025-10-31 17:30:28,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:28,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:28,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=15.55, mean=0.01183, std=3.595, absmax=15.55 +2025-10-31 17:30:28,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.88, max=11.23, mean=-0.06248, std=3.033, absmax=12.88 +2025-10-31 17:30:28,735 ERROR: Encountered non-finite generator loss at iter 8537; skipping update. +2025-10-31 17:30:28,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,738 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,739 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,740 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,741 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:28,742 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:28,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:28,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:28,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.01, mean=-0.1379, std=3.152, absmax=12.53 +2025-10-31 17:30:28,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.72, max=10.32, mean=-0.1798, std=2.594, absmax=11.72 +2025-10-31 17:30:29,238 ERROR: Encountered non-finite generator loss at iter 8538; skipping update. +2025-10-31 17:30:29,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,240 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,240 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,241 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,242 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,243 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,244 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:29,245 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:29,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=16.75, mean=-0.122, std=2.806, absmax=16.75 +2025-10-31 17:30:29,247 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=14.32, mean=-0.1208, std=2.44, absmax=14.32 +2025-10-31 17:30:29,739 ERROR: Encountered non-finite generator loss at iter 8539; skipping update. +2025-10-31 17:30:29,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:29,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:29,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:29,747 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:29,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=10.86, mean=-0.1111, std=2.645, absmax=11.05 +2025-10-31 17:30:29,749 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.534, max=8.918, mean=-0.1331, std=2.275, absmax=9.534 +2025-10-31 17:30:30,241 ERROR: Encountered non-finite generator loss at iter 8540; skipping update. +2025-10-31 17:30:30,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:30,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:30,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.6, mean=-0.09127, std=2.556, absmax=12.36 +2025-10-31 17:30:30,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=10.14, mean=-0.1225, std=2.144, absmax=10.73 +2025-10-31 17:30:30,744 ERROR: Encountered non-finite generator loss at iter 8541; skipping update. +2025-10-31 17:30:30,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:30,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:30,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:30,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:30,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.27, mean=0.03595, std=3.081, absmax=14.27 +2025-10-31 17:30:30,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.05, mean=-0.01457, std=2.535, absmax=11.11 +2025-10-31 17:30:31,248 ERROR: Encountered non-finite generator loss at iter 8542; skipping update. +2025-10-31 17:30:31,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:31,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:31,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.05, mean=-0.1744, std=2.621, absmax=13.2 +2025-10-31 17:30:31,256 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.12, mean=-0.135, std=2.211, absmax=11.12 +2025-10-31 17:30:31,749 ERROR: Encountered non-finite generator loss at iter 8543; skipping update. +2025-10-31 17:30:31,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,755 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:31,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:31,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:31,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:31,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=15.48, mean=0.1682, std=3.689, absmax=15.48 +2025-10-31 17:30:31,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=14.67, mean=0.1869, std=3.254, absmax=14.67 +2025-10-31 17:30:32,251 ERROR: Encountered non-finite generator loss at iter 8544; skipping update. +2025-10-31 17:30:32,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:32,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:32,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.2, max=14.62, mean=-0.1101, std=3.154, absmax=16.2 +2025-10-31 17:30:32,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=11.78, mean=-0.143, std=2.449, absmax=11.78 +2025-10-31 17:30:32,753 ERROR: Encountered non-finite generator loss at iter 8545; skipping update. +2025-10-31 17:30:32,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,756 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:32,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:32,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:32,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:32,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.49, mean=-0.3048, std=2.805, absmax=12.8 +2025-10-31 17:30:32,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=8.395, mean=-0.2922, std=2.362, absmax=10.25 +2025-10-31 17:30:33,255 ERROR: Encountered non-finite generator loss at iter 8546; skipping update. +2025-10-31 17:30:33,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:33,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:33,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.28, mean=-0.1211, std=3.222, absmax=14.28 +2025-10-31 17:30:33,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=12.03, mean=-0.1181, std=2.802, absmax=12.03 +2025-10-31 17:30:33,756 ERROR: Encountered non-finite generator loss at iter 8547; skipping update. +2025-10-31 17:30:33,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:33,762 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:33,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:33,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:33,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.66, mean=-0.1582, std=2.967, absmax=13.21 +2025-10-31 17:30:33,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.125, mean=-0.1316, std=2.434, absmax=10.05 +2025-10-31 17:30:34,257 ERROR: Encountered non-finite generator loss at iter 8548; skipping update. +2025-10-31 17:30:34,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,259 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,262 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:34,263 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:34,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.88, mean=-0.2706, std=2.466, absmax=12.49 +2025-10-31 17:30:34,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.625, mean=-0.2466, std=2.174, absmax=10.49 +2025-10-31 17:30:34,757 ERROR: Encountered non-finite generator loss at iter 8549; skipping update. +2025-10-31 17:30:34,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:34,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:34,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:34,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:34,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.74, mean=-0.1323, std=3.232, absmax=15.74 +2025-10-31 17:30:34,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=11.54, mean=-0.1778, std=2.746, absmax=11.84 +2025-10-31 17:30:35,271 ERROR: Encountered non-finite generator loss at iter 8550; skipping update. +2025-10-31 17:30:35,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:35,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:35,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.26, mean=-0.2017, std=2.907, absmax=13.41 +2025-10-31 17:30:35,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.69, mean=-0.1576, std=2.573, absmax=10.69 +2025-10-31 17:30:35,773 ERROR: Encountered non-finite generator loss at iter 8551; skipping update. +2025-10-31 17:30:35,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,776 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,776 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:35,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:35,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:35,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:35,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.17, mean=-0.08361, std=2.73, absmax=14.17 +2025-10-31 17:30:35,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.909, max=10.08, mean=-0.06523, std=2.266, absmax=10.08 +2025-10-31 17:30:36,276 ERROR: Encountered non-finite generator loss at iter 8552; skipping update. +2025-10-31 17:30:36,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,278 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,279 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,279 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:36,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:36,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.47, mean=-0.1626, std=2.788, absmax=11.62 +2025-10-31 17:30:36,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.169, max=8.855, mean=-0.1235, std=2.475, absmax=9.169 +2025-10-31 17:30:36,775 ERROR: Encountered non-finite generator loss at iter 8553; skipping update. +2025-10-31 17:30:36,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,778 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:36,782 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:36,783 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:36,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:36,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.07, mean=-0.2924, std=3.105, absmax=14.09 +2025-10-31 17:30:36,786 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.42, mean=-0.324, std=2.713, absmax=10.57 +2025-10-31 17:30:37,278 ERROR: Encountered non-finite generator loss at iter 8554; skipping update. +2025-10-31 17:30:37,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:37,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:37,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=15.21, mean=-0.1177, std=3.317, absmax=15.21 +2025-10-31 17:30:37,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=11.34, mean=-0.1266, std=2.669, absmax=11.34 +2025-10-31 17:30:37,781 ERROR: Encountered non-finite generator loss at iter 8555; skipping update. +2025-10-31 17:30:37,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,786 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,787 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:37,788 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:37,789 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:37,790 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:37,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=13.96, mean=-0.2993, std=3.138, absmax=15.56 +2025-10-31 17:30:37,792 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.167, mean=-0.3192, std=2.647, absmax=10.41 +2025-10-31 17:30:38,284 ERROR: Encountered non-finite generator loss at iter 8556; skipping update. +2025-10-31 17:30:38,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:38,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:38,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.58, mean=-0.2248, std=2.957, absmax=14.58 +2025-10-31 17:30:38,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=9.376, mean=-0.2265, std=2.538, absmax=10.82 +2025-10-31 17:30:38,786 ERROR: Encountered non-finite generator loss at iter 8557; skipping update. +2025-10-31 17:30:38,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:38,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:38,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:38,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:38,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=12.97, mean=-0.2723, std=3.287, absmax=14.1 +2025-10-31 17:30:38,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.294, mean=-0.2046, std=2.665, absmax=10.73 +2025-10-31 17:30:39,290 ERROR: Encountered non-finite generator loss at iter 8558; skipping update. +2025-10-31 17:30:39,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,293 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,293 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,294 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,294 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:39,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:39,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.54, mean=-0.05535, std=3.382, absmax=14.54 +2025-10-31 17:30:39,295 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=11.45, mean=-0.105, std=2.874, absmax=11.77 +2025-10-31 17:30:39,788 ERROR: Encountered non-finite generator loss at iter 8559; skipping update. +2025-10-31 17:30:39,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,794 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:39,795 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:39,796 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:39,797 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:39,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.52, mean=-0.1428, std=2.685, absmax=13.52 +2025-10-31 17:30:39,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.318, max=10.29, mean=-0.131, std=2.222, absmax=10.29 +2025-10-31 17:30:40,292 ERROR: Encountered non-finite generator loss at iter 8560; skipping update. +2025-10-31 17:30:40,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:40,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:40,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.43, mean=-0.18, std=2.933, absmax=12.5 +2025-10-31 17:30:40,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.814, max=8.565, mean=-0.1385, std=2.45, absmax=9.814 +2025-10-31 17:30:40,796 ERROR: Encountered non-finite generator loss at iter 8561; skipping update. +2025-10-31 17:30:40,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:40,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:40,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:40,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:40,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=12.43, mean=-0.2401, std=2.567, absmax=12.43 +2025-10-31 17:30:40,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.53, mean=-0.2052, std=2.249, absmax=10.53 +2025-10-31 17:30:41,297 ERROR: Encountered non-finite generator loss at iter 8562; skipping update. +2025-10-31 17:30:41,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:41,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:41,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.52, mean=-0.1783, std=3.099, absmax=13.52 +2025-10-31 17:30:41,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.89, mean=-0.1205, std=2.654, absmax=10.89 +2025-10-31 17:30:41,801 ERROR: Encountered non-finite generator loss at iter 8563; skipping update. +2025-10-31 17:30:41,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:41,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:41,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:41,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:41,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.77, mean=-0.2299, std=3.764, absmax=14.77 +2025-10-31 17:30:41,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=11.1, mean=-0.211, std=3.109, absmax=11.1 +2025-10-31 17:30:42,306 ERROR: Encountered non-finite generator loss at iter 8564; skipping update. +2025-10-31 17:30:42,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,309 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,312 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,313 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:42,314 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:42,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.43, mean=-0.03896, std=2.813, absmax=12.43 +2025-10-31 17:30:42,316 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.302, max=9.862, mean=-0.01428, std=2.384, absmax=9.862 +2025-10-31 17:30:42,809 ERROR: Encountered non-finite generator loss at iter 8565; skipping update. +2025-10-31 17:30:42,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,812 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:42,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:42,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:42,817 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:42,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.88, mean=-0.1729, std=3.035, absmax=13.91 +2025-10-31 17:30:42,819 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=10.29, mean=-0.2072, std=2.543, absmax=10.95 +2025-10-31 17:30:43,312 ERROR: Encountered non-finite generator loss at iter 8566; skipping update. +2025-10-31 17:30:43,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:43,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:43,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.14, mean=-0.1416, std=2.784, absmax=14.14 +2025-10-31 17:30:43,321 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=11.12, mean=-0.1494, std=2.276, absmax=11.12 +2025-10-31 17:30:43,814 ERROR: Encountered non-finite generator loss at iter 8567; skipping update. +2025-10-31 17:30:43,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,819 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,820 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:43,821 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:43,822 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:43,823 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:43,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=10.89, mean=-0.1752, std=3.248, absmax=13.61 +2025-10-31 17:30:43,825 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.227, mean=-0.1439, std=2.854, absmax=11.39 +2025-10-31 17:30:44,318 ERROR: Encountered non-finite generator loss at iter 8568; skipping update. +2025-10-31 17:30:44,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,321 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:44,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:44,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=13.26, mean=-0.1285, std=2.892, absmax=13.26 +2025-10-31 17:30:44,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.802, max=10.7, mean=-0.08567, std=2.487, absmax=10.7 +2025-10-31 17:30:44,822 ERROR: Encountered non-finite generator loss at iter 8569; skipping update. +2025-10-31 17:30:44,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:44,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:44,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:44,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:44,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=15.07, mean=-0.05769, std=3.011, absmax=15.07 +2025-10-31 17:30:44,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.42, mean=-0.1021, std=2.532, absmax=11.42 +2025-10-31 17:30:45,324 ERROR: Encountered non-finite generator loss at iter 8570; skipping update. +2025-10-31 17:30:45,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:45,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:45,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.67, mean=0.07361, std=3.28, absmax=13.67 +2025-10-31 17:30:45,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=10.77, mean=0.04731, std=2.643, absmax=10.77 +2025-10-31 17:30:45,828 ERROR: Encountered non-finite generator loss at iter 8571; skipping update. +2025-10-31 17:30:45,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:45,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:45,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:45,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:45,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.34, mean=-0.2377, std=2.923, absmax=13.34 +2025-10-31 17:30:45,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=9.138, mean=-0.2152, std=2.606, absmax=11.77 +2025-10-31 17:30:46,331 ERROR: Encountered non-finite generator loss at iter 8572; skipping update. +2025-10-31 17:30:46,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:46,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:46,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.78, mean=-0.09371, std=3.101, absmax=12.78 +2025-10-31 17:30:46,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=10.58, mean=-0.1389, std=2.618, absmax=10.58 +2025-10-31 17:30:46,836 ERROR: Encountered non-finite generator loss at iter 8573; skipping update. +2025-10-31 17:30:46,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,838 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,839 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,840 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:46,841 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:46,842 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:46,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:46,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.35, mean=-0.05315, std=3.961, absmax=13.75 +2025-10-31 17:30:46,845 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=10.3, mean=-0.1062, std=3.333, absmax=11.95 +2025-10-31 17:30:47,338 ERROR: Encountered non-finite generator loss at iter 8574; skipping update. +2025-10-31 17:30:47,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:47,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:47,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.06, mean=-0.09006, std=2.702, absmax=12.04 +2025-10-31 17:30:47,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.543, max=12.41, mean=-0.1194, std=2.507, absmax=12.41 +2025-10-31 17:30:47,838 ERROR: Encountered non-finite generator loss at iter 8575; skipping update. +2025-10-31 17:30:47,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:47,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:47,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:47,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:47,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14.39, mean=-0.06436, std=3.065, absmax=14.39 +2025-10-31 17:30:47,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.706, max=12.72, mean=-0.04528, std=2.687, absmax=12.72 +2025-10-31 17:30:48,341 ERROR: Encountered non-finite generator loss at iter 8576; skipping update. +2025-10-31 17:30:48,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:48,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:48,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.51, mean=0.1955, std=3.785, absmax=15.51 +2025-10-31 17:30:48,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=12.61, mean=0.1503, std=3.245, absmax=12.61 +2025-10-31 17:30:48,845 ERROR: Encountered non-finite generator loss at iter 8577; skipping update. +2025-10-31 17:30:48,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:48,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:48,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:48,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:48,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.48, mean=-0.1607, std=2.832, absmax=14.48 +2025-10-31 17:30:48,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=11.52, mean=-0.2207, std=2.382, absmax=11.52 +2025-10-31 17:30:49,348 ERROR: Encountered non-finite generator loss at iter 8578; skipping update. +2025-10-31 17:30:49,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:49,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:49,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.34, mean=-0.1807, std=3.129, absmax=14.34 +2025-10-31 17:30:49,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.32, max=9.8, mean=-0.1475, std=2.727, absmax=12.32 +2025-10-31 17:30:49,850 ERROR: Encountered non-finite generator loss at iter 8579; skipping update. +2025-10-31 17:30:49,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:49,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:49,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:49,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:49,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.05, mean=-0.03675, std=3.035, absmax=11.92 +2025-10-31 17:30:49,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.75, mean=-0.05158, std=2.611, absmax=10.75 +2025-10-31 17:30:50,351 ERROR: Encountered non-finite generator loss at iter 8580; skipping update. +2025-10-31 17:30:50,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,356 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:50,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:50,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.12, mean=-0.2461, std=2.764, absmax=12.79 +2025-10-31 17:30:50,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.11, mean=-0.2616, std=2.393, absmax=10.45 +2025-10-31 17:30:50,857 ERROR: Encountered non-finite generator loss at iter 8581; skipping update. +2025-10-31 17:30:50,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:50,864 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:50,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:50,866 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:50,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.4, mean=-0.05758, std=2.532, absmax=12.18 +2025-10-31 17:30:50,868 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.068, max=8.809, mean=-0.08909, std=2.112, absmax=9.068 +2025-10-31 17:30:51,361 ERROR: Encountered non-finite generator loss at iter 8582; skipping update. +2025-10-31 17:30:51,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,367 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:51,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:51,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.82, mean=-0.2029, std=2.585, absmax=11.84 +2025-10-31 17:30:51,370 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.21, mean=-0.1765, std=2.286, absmax=10.28 +2025-10-31 17:30:51,862 ERROR: Encountered non-finite generator loss at iter 8583; skipping update. +2025-10-31 17:30:51,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,865 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:51,868 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:51,869 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:51,870 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:51,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.6, mean=-0.3056, std=2.995, absmax=14.04 +2025-10-31 17:30:51,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.15, max=10.09, mean=-0.3401, std=2.641, absmax=12.15 +2025-10-31 17:30:52,366 ERROR: Encountered non-finite generator loss at iter 8584; skipping update. +2025-10-31 17:30:52,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:52,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:52,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.71, mean=-0.1092, std=2.649, absmax=12.71 +2025-10-31 17:30:52,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.532, max=9.451, mean=-0.06928, std=2.212, absmax=9.532 +2025-10-31 17:30:52,872 ERROR: Encountered non-finite generator loss at iter 8585; skipping update. +2025-10-31 17:30:52,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:52,877 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:52,878 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:52,879 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:52,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=10.8, mean=-0.1927, std=2.822, absmax=14.99 +2025-10-31 17:30:52,881 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.55, max=8.956, mean=-0.172, std=2.369, absmax=9.55 +2025-10-31 17:30:53,373 ERROR: Encountered non-finite generator loss at iter 8586; skipping update. +2025-10-31 17:30:53,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:53,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:53,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.77, mean=-0.126, std=3.148, absmax=13.77 +2025-10-31 17:30:53,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=11.83, mean=-0.188, std=2.66, absmax=11.83 +2025-10-31 17:30:53,880 ERROR: Encountered non-finite generator loss at iter 8587; skipping update. +2025-10-31 17:30:53,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,883 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:53,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:53,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:53,891 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:53,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.76, mean=-0.01241, std=2.858, absmax=12.76 +2025-10-31 17:30:53,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.116, max=9.702, mean=-0.02204, std=2.319, absmax=9.702 +2025-10-31 17:30:54,386 ERROR: Encountered non-finite generator loss at iter 8588; skipping update. +2025-10-31 17:30:54,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,388 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:54,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:54,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.28, mean=-0.2292, std=3.024, absmax=13.87 +2025-10-31 17:30:54,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.939, mean=-0.1868, std=2.555, absmax=10.76 +2025-10-31 17:30:54,889 ERROR: Encountered non-finite generator loss at iter 8589; skipping update. +2025-10-31 17:30:54,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,892 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:54,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:54,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:54,897 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:54,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.72, mean=-0.1722, std=2.768, absmax=12.72 +2025-10-31 17:30:54,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.753, mean=-0.1534, std=2.423, absmax=11.17 +2025-10-31 17:30:55,396 ERROR: Encountered non-finite generator loss at iter 8590; skipping update. +2025-10-31 17:30:55,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:55,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:55,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=18.01, mean=-0.3132, std=3.075, absmax=18.01 +2025-10-31 17:30:55,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=9.829, mean=-0.2771, std=2.388, absmax=9.829 +2025-10-31 17:30:55,902 ERROR: Encountered non-finite generator loss at iter 8591; skipping update. +2025-10-31 17:30:55,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,905 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,906 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,906 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:55,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:55,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:55,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:55,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.47, mean=-0.2163, std=2.348, absmax=12.47 +2025-10-31 17:30:55,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.413, max=7.285, mean=-0.2425, std=1.923, absmax=8.413 +2025-10-31 17:30:56,407 ERROR: Encountered non-finite generator loss at iter 8592; skipping update. +2025-10-31 17:30:56,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,410 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,411 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,412 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:56,413 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:56,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.44, mean=-0.1467, std=3.237, absmax=13.44 +2025-10-31 17:30:56,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.898, max=10.75, mean=-0.1293, std=2.742, absmax=10.75 +2025-10-31 17:30:56,909 ERROR: Encountered non-finite generator loss at iter 8593; skipping update. +2025-10-31 17:30:56,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,912 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,914 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:56,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:56,917 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:56,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:56,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.69, mean=-0.2079, std=2.543, absmax=12.69 +2025-10-31 17:30:56,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.383, max=8.579, mean=-0.2162, std=2.062, absmax=9.383 +2025-10-31 17:30:57,416 ERROR: Encountered non-finite generator loss at iter 8594; skipping update. +2025-10-31 17:30:57,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:57,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:57,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.79, mean=-0.2374, std=3.008, absmax=13.79 +2025-10-31 17:30:57,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=8.349, mean=-0.2269, std=2.446, absmax=10.51 +2025-10-31 17:30:57,934 ERROR: Encountered non-finite generator loss at iter 8595; skipping update. +2025-10-31 17:30:57,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,937 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:57,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:57,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:57,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:57,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.27, mean=-0.1548, std=3.01, absmax=13.27 +2025-10-31 17:30:57,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.677, mean=-0.1467, std=2.443, absmax=10.27 +2025-10-31 17:30:58,438 ERROR: Encountered non-finite generator loss at iter 8596; skipping update. +2025-10-31 17:30:58,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:58,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:58,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.7, mean=-0.2498, std=2.719, absmax=12.7 +2025-10-31 17:30:58,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.856, max=9.624, mean=-0.245, std=2.319, absmax=9.856 +2025-10-31 17:30:58,941 ERROR: Encountered non-finite generator loss at iter 8597; skipping update. +2025-10-31 17:30:58,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:58,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:58,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:58,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:58,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.39, mean=-0.2269, std=3.021, absmax=15.1 +2025-10-31 17:30:58,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=9.962, mean=-0.2149, std=2.484, absmax=10.92 +2025-10-31 17:30:59,446 ERROR: Encountered non-finite generator loss at iter 8598; skipping update. +2025-10-31 17:30:59,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:59,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:59,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.09, mean=-0.02353, std=3.438, absmax=15.09 +2025-10-31 17:30:59,455 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=14.22, mean=-0.01658, std=2.938, absmax=14.22 +2025-10-31 17:30:59,949 ERROR: Encountered non-finite generator loss at iter 8599; skipping update. +2025-10-31 17:30:59,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,952 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,952 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:30:59,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:30:59,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:30:59,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:30:59,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.29, mean=-0.1769, std=3.229, absmax=12.71 +2025-10-31 17:30:59,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=9.3, mean=-0.1767, std=2.806, absmax=9.905 +2025-10-31 17:31:00,450 ERROR: Encountered non-finite generator loss at iter 8600; skipping update. +2025-10-31 17:31:00,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:00,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:00,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.34, mean=-0.336, std=3.507, absmax=13.45 +2025-10-31 17:31:00,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=9.263, mean=-0.3274, std=2.893, absmax=11.05 +2025-10-31 17:31:00,459 INFO: [29..][epoch: 0, step: 8,600, lr:(1.500e-04,)] [eta: 1 day, 16:41:38, time (data): 0.503 (0.000)] +2025-10-31 17:31:00,953 ERROR: Encountered non-finite generator loss at iter 8601; skipping update. +2025-10-31 17:31:00,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:00,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:00,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:00,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:00,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=17.77, mean=-0.1004, std=3.299, absmax=17.77 +2025-10-31 17:31:00,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=13.85, mean=-0.1127, std=2.741, absmax=13.85 +2025-10-31 17:31:01,455 ERROR: Encountered non-finite generator loss at iter 8602; skipping update. +2025-10-31 17:31:01,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:01,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:01,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.9, mean=-0.2971, std=3.27, absmax=13.48 +2025-10-31 17:31:01,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=10.83, mean=-0.3102, std=2.733, absmax=11.6 +2025-10-31 17:31:01,960 ERROR: Encountered non-finite generator loss at iter 8603; skipping update. +2025-10-31 17:31:01,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:01,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:01,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:01,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:01,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.62, mean=0.04423, std=3.25, absmax=13.62 +2025-10-31 17:31:01,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=11.81, mean=0.0008711, std=2.882, absmax=11.81 +2025-10-31 17:31:02,464 ERROR: Encountered non-finite generator loss at iter 8604; skipping update. +2025-10-31 17:31:02,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,470 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,471 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:02,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:02,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.45, mean=-0.1404, std=3.619, absmax=14.45 +2025-10-31 17:31:02,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=13.37, mean=-0.199, std=3.23, absmax=13.37 +2025-10-31 17:31:02,968 ERROR: Encountered non-finite generator loss at iter 8605; skipping update. +2025-10-31 17:31:02,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,971 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,971 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,972 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,973 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:02,974 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:02,975 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:02,977 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:02,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.33, mean=-0.005661, std=3.317, absmax=13.33 +2025-10-31 17:31:02,979 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=10.97, mean=0.02341, std=2.671, absmax=11.9 +2025-10-31 17:31:03,474 ERROR: Encountered non-finite generator loss at iter 8606; skipping update. +2025-10-31 17:31:03,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:03,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:03,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.46, mean=0.05522, std=3.287, absmax=14.69 +2025-10-31 17:31:03,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=10.69, mean=0.04703, std=2.733, absmax=10.93 +2025-10-31 17:31:03,977 ERROR: Encountered non-finite generator loss at iter 8607; skipping update. +2025-10-31 17:31:03,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:03,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:03,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:03,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:03,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.25, mean=-0.1544, std=2.694, absmax=12.25 +2025-10-31 17:31:03,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.972, max=9.359, mean=-0.145, std=2.336, absmax=9.972 +2025-10-31 17:31:04,484 ERROR: Encountered non-finite generator loss at iter 8608; skipping update. +2025-10-31 17:31:04,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,488 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,489 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:04,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:04,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.63, mean=-0.1952, std=3.078, absmax=12.55 +2025-10-31 17:31:04,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=8.841, mean=-0.249, std=2.56, absmax=12.01 +2025-10-31 17:31:04,987 ERROR: Encountered non-finite generator loss at iter 8609; skipping update. +2025-10-31 17:31:04,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:04,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:04,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:04,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:04,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.51, mean=-0.1229, std=3.032, absmax=13.73 +2025-10-31 17:31:04,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.597, max=11.15, mean=-0.08452, std=2.496, absmax=11.15 +2025-10-31 17:31:05,493 ERROR: Encountered non-finite generator loss at iter 8610; skipping update. +2025-10-31 17:31:05,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:05,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:05,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:05,496 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:05,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:05,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:05,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:05,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:05,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=12.58, mean=-0.3483, std=3.169, absmax=14.16 +2025-10-31 17:31:05,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.932, max=8.054, mean=-0.3281, std=2.541, absmax=9.932 +2025-10-31 17:31:05,996 ERROR: Encountered non-finite generator loss at iter 8611; skipping update. +2025-10-31 17:31:05,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:05,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:06,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:06,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:06,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:06,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.06, mean=-0.08486, std=2.861, absmax=13.06 +2025-10-31 17:31:06,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.898, max=11.53, mean=-0.08209, std=2.403, absmax=11.53 +2025-10-31 17:31:06,504 ERROR: Encountered non-finite generator loss at iter 8612; skipping update. +2025-10-31 17:31:06,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:06,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:06,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:06,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:06,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:06,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:06,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.24, max=12.52, mean=-0.09296, std=2.481, absmax=12.52 +2025-10-31 17:31:06,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.943, max=8.05, mean=-0.1007, std=2.12, absmax=8.943 +2025-10-31 17:31:07,006 ERROR: Encountered non-finite generator loss at iter 8613; skipping update. +2025-10-31 17:31:07,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,009 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,011 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,012 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:07,013 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:07,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.15, mean=-0.2016, std=3.354, absmax=13.15 +2025-10-31 17:31:07,015 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=13.07, mean=-0.202, std=2.751, absmax=13.07 +2025-10-31 17:31:07,511 ERROR: Encountered non-finite generator loss at iter 8614; skipping update. +2025-10-31 17:31:07,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,513 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,513 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:07,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:07,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:07,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:07,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.36, mean=-0.2643, std=2.591, absmax=12.84 +2025-10-31 17:31:07,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.802, mean=-0.2615, std=2.178, absmax=10.63 +2025-10-31 17:31:08,015 ERROR: Encountered non-finite generator loss at iter 8615; skipping update. +2025-10-31 17:31:08,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,024 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,025 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:08,026 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:08,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.84, mean=-0.1285, std=2.55, absmax=12.84 +2025-10-31 17:31:08,028 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.953, mean=-0.1274, std=2.24, absmax=10.05 +2025-10-31 17:31:08,522 ERROR: Encountered non-finite generator loss at iter 8616; skipping update. +2025-10-31 17:31:08,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:08,529 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:08,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:08,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:08,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=10.63, mean=-0.186, std=2.721, absmax=13.15 +2025-10-31 17:31:08,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.852, max=7.708, mean=-0.1743, std=2.219, absmax=9.852 +2025-10-31 17:31:09,028 ERROR: Encountered non-finite generator loss at iter 8617; skipping update. +2025-10-31 17:31:09,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,031 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:09,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:09,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=13.55, mean=-0.2346, std=2.571, absmax=13.55 +2025-10-31 17:31:09,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.662, max=7.688, mean=-0.2064, std=2.031, absmax=8.662 +2025-10-31 17:31:09,532 ERROR: Encountered non-finite generator loss at iter 8618; skipping update. +2025-10-31 17:31:09,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:09,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:09,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:09,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:09,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=14.49, mean=0.1664, std=3.494, absmax=15.51 +2025-10-31 17:31:09,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=12.78, mean=0.1461, std=3.018, absmax=12.78 +2025-10-31 17:31:10,034 ERROR: Encountered non-finite generator loss at iter 8619; skipping update. +2025-10-31 17:31:10,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:10,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:10,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.4, mean=-0.218, std=3.078, absmax=12.37 +2025-10-31 17:31:10,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.924, mean=-0.1937, std=2.58, absmax=10.58 +2025-10-31 17:31:10,538 ERROR: Encountered non-finite generator loss at iter 8620; skipping update. +2025-10-31 17:31:10,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:10,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:10,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:10,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:10,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.41, mean=-0.1961, std=3.217, absmax=13.41 +2025-10-31 17:31:10,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.662, mean=-0.2063, std=2.586, absmax=10.43 +2025-10-31 17:31:11,042 ERROR: Encountered non-finite generator loss at iter 8621; skipping update. +2025-10-31 17:31:11,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:11,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:11,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=13.67, mean=-0.08181, std=3.687, absmax=14.53 +2025-10-31 17:31:11,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=11.71, mean=-0.1149, std=2.967, absmax=11.71 +2025-10-31 17:31:11,548 ERROR: Encountered non-finite generator loss at iter 8622; skipping update. +2025-10-31 17:31:11,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:11,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:11,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:11,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:11,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.27, mean=-0.283, std=2.775, absmax=12.93 +2025-10-31 17:31:11,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=7.917, mean=-0.237, std=2.302, absmax=10.04 +2025-10-31 17:31:12,051 ERROR: Encountered non-finite generator loss at iter 8623; skipping update. +2025-10-31 17:31:12,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:12,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:12,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.9, mean=-0.1209, std=2.975, absmax=12.9 +2025-10-31 17:31:12,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=9.395, mean=-0.1251, std=2.369, absmax=9.769 +2025-10-31 17:31:12,554 ERROR: Encountered non-finite generator loss at iter 8624; skipping update. +2025-10-31 17:31:12,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:12,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:12,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:12,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:12,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=10.55, mean=-0.1924, std=2.367, absmax=12.01 +2025-10-31 17:31:12,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.743, max=8.448, mean=-0.2244, std=2.006, absmax=9.743 +2025-10-31 17:31:13,056 ERROR: Encountered non-finite generator loss at iter 8625; skipping update. +2025-10-31 17:31:13,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:13,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:13,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=10.09, mean=-0.3193, std=2.411, absmax=10.56 +2025-10-31 17:31:13,066 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.809, max=7.76, mean=-0.2989, std=2.252, absmax=9.809 +2025-10-31 17:31:13,558 ERROR: Encountered non-finite generator loss at iter 8626; skipping update. +2025-10-31 17:31:13,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,560 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:13,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:13,566 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:13,567 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:13,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.44, max=16.51, mean=0.009575, std=3.564, absmax=16.51 +2025-10-31 17:31:13,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=11.69, mean=0.01355, std=3.007, absmax=12.39 +2025-10-31 17:31:14,061 ERROR: Encountered non-finite generator loss at iter 8627; skipping update. +2025-10-31 17:31:14,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,063 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,063 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,064 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,065 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,066 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,067 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:14,068 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:14,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=15.86, mean=0.2972, std=3.697, absmax=15.86 +2025-10-31 17:31:14,070 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=12.38, mean=0.2267, std=3.264, absmax=12.38 +2025-10-31 17:31:14,562 ERROR: Encountered non-finite generator loss at iter 8628; skipping update. +2025-10-31 17:31:14,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:14,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:14,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:14,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:14,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.41, mean=-0.1862, std=3.123, absmax=15.41 +2025-10-31 17:31:14,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=11.42, mean=-0.1305, std=2.569, absmax=11.42 +2025-10-31 17:31:15,063 ERROR: Encountered non-finite generator loss at iter 8629; skipping update. +2025-10-31 17:31:15,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:15,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:15,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=11.79, mean=-0.1162, std=2.849, absmax=13.67 +2025-10-31 17:31:15,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=10.72, mean=-0.127, std=2.495, absmax=10.75 +2025-10-31 17:31:15,566 ERROR: Encountered non-finite generator loss at iter 8630; skipping update. +2025-10-31 17:31:15,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,569 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,569 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:15,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:15,572 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:15,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:15,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.47, mean=-0.09801, std=2.946, absmax=12.47 +2025-10-31 17:31:15,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.096, max=9.705, mean=-0.1258, std=2.446, absmax=9.705 +2025-10-31 17:31:16,067 ERROR: Encountered non-finite generator loss at iter 8631; skipping update. +2025-10-31 17:31:16,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:16,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:16,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=10.87, mean=-0.2782, std=2.962, absmax=13.48 +2025-10-31 17:31:16,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=7.69, mean=-0.282, std=2.496, absmax=10.15 +2025-10-31 17:31:16,569 ERROR: Encountered non-finite generator loss at iter 8632; skipping update. +2025-10-31 17:31:16,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:16,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:16,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:16,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:16,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=13.72, mean=-0.1175, std=3.106, absmax=13.72 +2025-10-31 17:31:16,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=9.621, mean=-0.1357, std=2.677, absmax=11.19 +2025-10-31 17:31:17,073 ERROR: Encountered non-finite generator loss at iter 8633; skipping update. +2025-10-31 17:31:17,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,075 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,080 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:17,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:17,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=9.916, mean=-0.2894, std=2.924, absmax=12.4 +2025-10-31 17:31:17,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=8.887, mean=-0.2721, std=2.571, absmax=11.01 +2025-10-31 17:31:17,576 ERROR: Encountered non-finite generator loss at iter 8634; skipping update. +2025-10-31 17:31:17,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,580 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:17,581 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:17,582 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:17,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:17,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.27, mean=-0.1954, std=2.974, absmax=13.58 +2025-10-31 17:31:17,585 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.87, mean=-0.2071, std=2.455, absmax=10.87 +2025-10-31 17:31:18,077 ERROR: Encountered non-finite generator loss at iter 8635; skipping update. +2025-10-31 17:31:18,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:18,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:18,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=11.4, mean=-0.08088, std=2.681, absmax=11.4 +2025-10-31 17:31:18,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.351, max=8.16, mean=-0.146, std=2.073, absmax=8.351 +2025-10-31 17:31:18,578 ERROR: Encountered non-finite generator loss at iter 8636; skipping update. +2025-10-31 17:31:18,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:18,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:18,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:18,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:18,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.57, mean=-0.1641, std=3.209, absmax=13.57 +2025-10-31 17:31:18,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=12, mean=-0.1726, std=2.711, absmax=12 +2025-10-31 17:31:19,078 ERROR: Encountered non-finite generator loss at iter 8637; skipping update. +2025-10-31 17:31:19,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,081 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,082 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,083 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,084 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:19,085 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:19,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.7, mean=-0.06451, std=3.845, absmax=14.7 +2025-10-31 17:31:19,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.9, max=9.874, mean=-0.07523, std=3.124, absmax=11.9 +2025-10-31 17:31:19,580 ERROR: Encountered non-finite generator loss at iter 8638; skipping update. +2025-10-31 17:31:19,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:19,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:19,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:19,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:19,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.99, mean=-0.2041, std=2.928, absmax=12.57 +2025-10-31 17:31:19,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.997, max=10.31, mean=-0.2312, std=2.454, absmax=10.31 +2025-10-31 17:31:20,083 ERROR: Encountered non-finite generator loss at iter 8639; skipping update. +2025-10-31 17:31:20,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,086 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:20,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:20,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.75, mean=-0.1859, std=3.429, absmax=14.75 +2025-10-31 17:31:20,092 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=11.82, mean=-0.1586, std=2.963, absmax=11.82 +2025-10-31 17:31:20,584 ERROR: Encountered non-finite generator loss at iter 8640; skipping update. +2025-10-31 17:31:20,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,588 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:20,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:20,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:20,592 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:20,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.84, mean=-0.1046, std=3.442, absmax=14.84 +2025-10-31 17:31:20,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.47, max=11.5, mean=-0.1409, std=3.008, absmax=12.47 +2025-10-31 17:31:21,087 ERROR: Encountered non-finite generator loss at iter 8641; skipping update. +2025-10-31 17:31:21,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:21,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:21,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=15.99, mean=0.002906, std=3.042, absmax=15.99 +2025-10-31 17:31:21,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.561, max=11.43, mean=-0.03723, std=2.49, absmax=11.43 +2025-10-31 17:31:21,590 ERROR: Encountered non-finite generator loss at iter 8642; skipping update. +2025-10-31 17:31:21,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,593 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:21,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:21,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:21,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:21,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=9.694, mean=-0.1785, std=2.538, absmax=11.49 +2025-10-31 17:31:21,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.54, mean=-0.1336, std=2.313, absmax=10.13 +2025-10-31 17:31:22,093 ERROR: Encountered non-finite generator loss at iter 8643; skipping update. +2025-10-31 17:31:22,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:22,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:22,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.55, mean=0.101, std=3.221, absmax=13.55 +2025-10-31 17:31:22,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.851, max=11.5, mean=0.0409, std=2.758, absmax=11.5 +2025-10-31 17:31:22,594 ERROR: Encountered non-finite generator loss at iter 8644; skipping update. +2025-10-31 17:31:22,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,596 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,596 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:22,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:22,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:22,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:22,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.55, mean=-0.1664, std=2.982, absmax=12.9 +2025-10-31 17:31:22,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.58, mean=-0.1514, std=2.572, absmax=11.02 +2025-10-31 17:31:23,096 ERROR: Encountered non-finite generator loss at iter 8645; skipping update. +2025-10-31 17:31:23,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:23,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:23,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.18, mean=-0.1622, std=2.927, absmax=14.18 +2025-10-31 17:31:23,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.67, max=9.408, mean=-0.1393, std=2.516, absmax=12.67 +2025-10-31 17:31:23,599 ERROR: Encountered non-finite generator loss at iter 8646; skipping update. +2025-10-31 17:31:23,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:23,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:23,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:23,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:23,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=11.53, mean=-0.06418, std=2.732, absmax=12.92 +2025-10-31 17:31:23,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.838, max=9.635, mean=-0.1138, std=2.277, absmax=9.635 +2025-10-31 17:31:24,100 ERROR: Encountered non-finite generator loss at iter 8647; skipping update. +2025-10-31 17:31:24,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:24,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:24,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.97, mean=-0.04389, std=3.392, absmax=13.98 +2025-10-31 17:31:24,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.388, max=10.75, mean=-0.06114, std=2.693, absmax=10.75 +2025-10-31 17:31:24,603 ERROR: Encountered non-finite generator loss at iter 8648; skipping update. +2025-10-31 17:31:24,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:24,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:24,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:24,611 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:24,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.76, mean=-0.202, std=2.814, absmax=12.26 +2025-10-31 17:31:24,613 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=8.487, mean=-0.2212, std=2.322, absmax=11.17 +2025-10-31 17:31:25,106 ERROR: Encountered non-finite generator loss at iter 8649; skipping update. +2025-10-31 17:31:25,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:25,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:25,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.21, mean=-0.08004, std=3.481, absmax=13.86 +2025-10-31 17:31:25,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.52, mean=-0.126, std=3.006, absmax=11.63 +2025-10-31 17:31:25,620 ERROR: Encountered non-finite generator loss at iter 8650; skipping update. +2025-10-31 17:31:25,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:25,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:25,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:25,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:25,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.7, mean=-0.2342, std=3.321, absmax=15.7 +2025-10-31 17:31:25,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.743, max=10.09, mean=-0.214, std=2.719, absmax=10.09 +2025-10-31 17:31:26,120 ERROR: Encountered non-finite generator loss at iter 8651; skipping update. +2025-10-31 17:31:26,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,126 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:26,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:26,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.92, mean=-0.06153, std=2.986, absmax=13.92 +2025-10-31 17:31:26,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=11.07, mean=-0.06636, std=2.458, absmax=11.07 +2025-10-31 17:31:26,621 ERROR: Encountered non-finite generator loss at iter 8652; skipping update. +2025-10-31 17:31:26,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:26,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:26,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:26,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:26,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.72, mean=-0.1135, std=3.124, absmax=12.27 +2025-10-31 17:31:26,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.665, max=11.45, mean=-0.08391, std=2.748, absmax=11.45 +2025-10-31 17:31:27,122 ERROR: Encountered non-finite generator loss at iter 8653; skipping update. +2025-10-31 17:31:27,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,126 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:27,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:27,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.78, mean=-0.228, std=2.539, absmax=11.37 +2025-10-31 17:31:27,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.862, max=8.098, mean=-0.2327, std=2.17, absmax=8.862 +2025-10-31 17:31:27,628 ERROR: Encountered non-finite generator loss at iter 8654; skipping update. +2025-10-31 17:31:27,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,631 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:27,634 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:27,635 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:27,636 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:27,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.62, mean=-0.2426, std=3.14, absmax=13.92 +2025-10-31 17:31:27,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.54, max=11.3, mean=-0.2252, std=2.766, absmax=11.54 +2025-10-31 17:31:28,131 ERROR: Encountered non-finite generator loss at iter 8655; skipping update. +2025-10-31 17:31:28,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:28,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:28,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=16.19, mean=-0.0654, std=3.513, absmax=16.19 +2025-10-31 17:31:28,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.69, max=11.97, mean=-0.08632, std=2.89, absmax=12.69 +2025-10-31 17:31:28,633 ERROR: Encountered non-finite generator loss at iter 8656; skipping update. +2025-10-31 17:31:28,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:28,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:28,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:28,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:28,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.15, mean=-0.1289, std=3.057, absmax=12.15 +2025-10-31 17:31:28,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.908, max=10.3, mean=-0.1402, std=2.561, absmax=10.3 +2025-10-31 17:31:29,134 ERROR: Encountered non-finite generator loss at iter 8657; skipping update. +2025-10-31 17:31:29,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,138 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:29,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:29,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.17, mean=-0.2285, std=3.161, absmax=13.17 +2025-10-31 17:31:29,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=9.708, mean=-0.2058, std=2.604, absmax=10.57 +2025-10-31 17:31:29,632 ERROR: Encountered non-finite generator loss at iter 8658; skipping update. +2025-10-31 17:31:29,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:29,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:29,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:29,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:29,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=10.77, mean=-0.04243, std=2.649, absmax=10.77 +2025-10-31 17:31:29,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.601, max=8.338, mean=-0.1032, std=2.282, absmax=8.601 +2025-10-31 17:31:30,137 ERROR: Encountered non-finite generator loss at iter 8659; skipping update. +2025-10-31 17:31:30,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:30,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:30,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.86, mean=-0.1292, std=2.854, absmax=13.34 +2025-10-31 17:31:30,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=9.992, mean=-0.1395, std=2.327, absmax=10.96 +2025-10-31 17:31:30,640 ERROR: Encountered non-finite generator loss at iter 8660; skipping update. +2025-10-31 17:31:30,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,644 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:30,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:30,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:30,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:30,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.66, mean=-0.1726, std=3.515, absmax=12.92 +2025-10-31 17:31:30,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.77, mean=-0.1542, std=2.916, absmax=10.87 +2025-10-31 17:31:31,147 ERROR: Encountered non-finite generator loss at iter 8661; skipping update. +2025-10-31 17:31:31,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:31,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:31,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=10.96, mean=-0.2547, std=2.718, absmax=13.54 +2025-10-31 17:31:31,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.027, max=10.1, mean=-0.2429, std=2.169, absmax=10.1 +2025-10-31 17:31:31,652 ERROR: Encountered non-finite generator loss at iter 8662; skipping update. +2025-10-31 17:31:31,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:31,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:31,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:31,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:31,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.36, mean=-0.2024, std=2.527, absmax=12.36 +2025-10-31 17:31:31,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.59, mean=-0.1978, std=2.197, absmax=10.71 +2025-10-31 17:31:32,155 ERROR: Encountered non-finite generator loss at iter 8663; skipping update. +2025-10-31 17:31:32,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,159 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,160 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:32,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:32,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.21, mean=-0.3896, std=3.158, absmax=14.21 +2025-10-31 17:31:32,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=8.917, mean=-0.3739, std=2.777, absmax=11.23 +2025-10-31 17:31:32,658 ERROR: Encountered non-finite generator loss at iter 8664; skipping update. +2025-10-31 17:31:32,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:32,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:32,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:32,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:32,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=19.17, mean=-0.1901, std=2.99, absmax=19.17 +2025-10-31 17:31:32,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=13.17, mean=-0.1166, std=2.412, absmax=13.17 +2025-10-31 17:31:33,160 ERROR: Encountered non-finite generator loss at iter 8665; skipping update. +2025-10-31 17:31:33,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:33,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:33,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.9, mean=-0.2604, std=3.022, absmax=13.72 +2025-10-31 17:31:33,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.4, mean=-0.2335, std=2.333, absmax=10.43 +2025-10-31 17:31:33,664 ERROR: Encountered non-finite generator loss at iter 8666; skipping update. +2025-10-31 17:31:33,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:33,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:33,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:33,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:33,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.01, mean=-0.1803, std=3.217, absmax=13.22 +2025-10-31 17:31:33,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.56, mean=-0.1333, std=2.765, absmax=11.56 +2025-10-31 17:31:34,167 ERROR: Encountered non-finite generator loss at iter 8667; skipping update. +2025-10-31 17:31:34,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,169 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,170 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,170 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,171 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,172 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,173 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:34,174 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:34,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.65, mean=-0.1448, std=2.599, absmax=13.65 +2025-10-31 17:31:34,176 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.966, max=9.135, mean=-0.1539, std=2.094, absmax=9.135 +2025-10-31 17:31:34,669 ERROR: Encountered non-finite generator loss at iter 8668; skipping update. +2025-10-31 17:31:34,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:34,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:34,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:34,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:34,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.25, mean=0.03292, std=3.163, absmax=14.25 +2025-10-31 17:31:34,678 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.907, max=13.68, mean=0.002296, std=2.865, absmax=13.68 +2025-10-31 17:31:35,170 ERROR: Encountered non-finite generator loss at iter 8669; skipping update. +2025-10-31 17:31:35,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:35,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:35,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.97, mean=-0.252, std=3.002, absmax=11.83 +2025-10-31 17:31:35,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.963, mean=-0.2475, std=2.525, absmax=10.08 +2025-10-31 17:31:35,672 ERROR: Encountered non-finite generator loss at iter 8670; skipping update. +2025-10-31 17:31:35,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:35,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:35,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:35,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:35,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.8, mean=0.09719, std=3.23, absmax=12.8 +2025-10-31 17:31:35,681 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=9.73, mean=0.05018, std=2.687, absmax=10.49 +2025-10-31 17:31:36,173 ERROR: Encountered non-finite generator loss at iter 8671; skipping update. +2025-10-31 17:31:36,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,175 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,176 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:36,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:36,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.53, mean=-0.3109, std=2.617, absmax=12.96 +2025-10-31 17:31:36,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.22, mean=-0.2853, std=2.213, absmax=11.63 +2025-10-31 17:31:36,675 ERROR: Encountered non-finite generator loss at iter 8672; skipping update. +2025-10-31 17:31:36,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,678 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:36,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:36,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:36,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:36,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=15.16, mean=-0.0008822, std=3.814, absmax=15.16 +2025-10-31 17:31:36,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=14.82, mean=0.018, std=3.292, absmax=14.82 +2025-10-31 17:31:37,176 ERROR: Encountered non-finite generator loss at iter 8673; skipping update. +2025-10-31 17:31:37,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:37,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:37,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.55, mean=-0.1803, std=2.786, absmax=11.62 +2025-10-31 17:31:37,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=9.001, mean=-0.1973, std=2.44, absmax=11.13 +2025-10-31 17:31:37,677 ERROR: Encountered non-finite generator loss at iter 8674; skipping update. +2025-10-31 17:31:37,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:37,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:37,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:37,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:37,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.6, mean=-0.2305, std=2.646, absmax=12.6 +2025-10-31 17:31:37,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.72, max=8.78, mean=-0.2299, std=2.185, absmax=9.72 +2025-10-31 17:31:38,179 ERROR: Encountered non-finite generator loss at iter 8675; skipping update. +2025-10-31 17:31:38,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,184 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,185 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,186 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,187 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:38,188 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:38,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.16, mean=-0.2706, std=2.919, absmax=13.24 +2025-10-31 17:31:38,190 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.562, mean=-0.2368, std=2.507, absmax=10.33 +2025-10-31 17:31:38,683 ERROR: Encountered non-finite generator loss at iter 8676; skipping update. +2025-10-31 17:31:38,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,685 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:38,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:38,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:38,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:38,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=17.09, mean=-0.1947, std=2.865, absmax=17.09 +2025-10-31 17:31:38,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=13.77, mean=-0.1946, std=2.423, absmax=13.77 +2025-10-31 17:31:39,185 ERROR: Encountered non-finite generator loss at iter 8677; skipping update. +2025-10-31 17:31:39,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:39,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:39,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.76, mean=-0.169, std=2.851, absmax=12.33 +2025-10-31 17:31:39,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=9.655, mean=-0.1633, std=2.336, absmax=9.655 +2025-10-31 17:31:39,686 ERROR: Encountered non-finite generator loss at iter 8678; skipping update. +2025-10-31 17:31:39,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,689 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,690 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:39,691 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:39,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:39,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:39,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.25, mean=0.02822, std=3.215, absmax=13.25 +2025-10-31 17:31:39,695 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.894, max=11.1, mean=0.0434, std=2.739, absmax=11.1 +2025-10-31 17:31:40,188 ERROR: Encountered non-finite generator loss at iter 8679; skipping update. +2025-10-31 17:31:40,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,191 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:40,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:40,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.39, mean=0.06035, std=3.387, absmax=14.39 +2025-10-31 17:31:40,196 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=11.3, mean=-0.03039, std=2.709, absmax=11.3 +2025-10-31 17:31:40,689 ERROR: Encountered non-finite generator loss at iter 8680; skipping update. +2025-10-31 17:31:40,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:40,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:40,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:40,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:40,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.7, mean=-0.1657, std=2.757, absmax=13.7 +2025-10-31 17:31:40,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.927, max=9.258, mean=-0.1906, std=2.251, absmax=9.927 +2025-10-31 17:31:41,191 ERROR: Encountered non-finite generator loss at iter 8681; skipping update. +2025-10-31 17:31:41,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:41,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:41,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.51, mean=-0.1672, std=2.816, absmax=12.68 +2025-10-31 17:31:41,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.369, max=7.481, mean=-0.13, std=2.394, absmax=9.369 +2025-10-31 17:31:41,693 ERROR: Encountered non-finite generator loss at iter 8682; skipping update. +2025-10-31 17:31:41,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,696 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:41,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:41,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:41,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:41,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.67, mean=-0.0728, std=2.699, absmax=14.67 +2025-10-31 17:31:41,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=11.2, mean=-0.09005, std=2.237, absmax=11.43 +2025-10-31 17:31:42,196 ERROR: Encountered non-finite generator loss at iter 8683; skipping update. +2025-10-31 17:31:42,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:42,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:42,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.92, mean=-0.0003702, std=3.651, absmax=14.92 +2025-10-31 17:31:42,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.98, max=13.17, mean=-0.02376, std=3.16, absmax=13.17 +2025-10-31 17:31:42,699 ERROR: Encountered non-finite generator loss at iter 8684; skipping update. +2025-10-31 17:31:42,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,702 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:42,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:42,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:42,704 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:42,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.01, mean=-0.3714, std=2.581, absmax=11.72 +2025-10-31 17:31:42,706 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=7.048, mean=-0.3545, std=2.372, absmax=10.03 +2025-10-31 17:31:43,198 ERROR: Encountered non-finite generator loss at iter 8685; skipping update. +2025-10-31 17:31:43,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:43,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:43,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.03, mean=-0.04812, std=2.89, absmax=12.91 +2025-10-31 17:31:43,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=9.156, mean=-0.09675, std=2.389, absmax=11.24 +2025-10-31 17:31:43,700 ERROR: Encountered non-finite generator loss at iter 8686; skipping update. +2025-10-31 17:31:43,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:43,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:43,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:43,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:43,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.05, mean=-0.03464, std=2.962, absmax=14.05 +2025-10-31 17:31:43,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.045, max=11.16, mean=-0.05632, std=2.397, absmax=11.16 +2025-10-31 17:31:44,201 ERROR: Encountered non-finite generator loss at iter 8687; skipping update. +2025-10-31 17:31:44,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:44,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:44,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=10.41, mean=-0.1796, std=2.609, absmax=11.58 +2025-10-31 17:31:44,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.291, max=9.355, mean=-0.1896, std=2.295, absmax=9.355 +2025-10-31 17:31:44,700 ERROR: Encountered non-finite generator loss at iter 8688; skipping update. +2025-10-31 17:31:44,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:44,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:44,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:44,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:44,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.02, mean=-0.147, std=2.696, absmax=14.02 +2025-10-31 17:31:44,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.705, max=8.416, mean=-0.1842, std=2.167, absmax=9.705 +2025-10-31 17:31:45,203 ERROR: Encountered non-finite generator loss at iter 8689; skipping update. +2025-10-31 17:31:45,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:45,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:45,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.58, mean=-0.1847, std=2.946, absmax=12.58 +2025-10-31 17:31:45,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.811, max=9.196, mean=-0.1852, std=2.557, absmax=9.811 +2025-10-31 17:31:45,704 ERROR: Encountered non-finite generator loss at iter 8690; skipping update. +2025-10-31 17:31:45,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:45,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:45,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:45,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:45,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=15.53, mean=0.01163, std=3.079, absmax=15.64 +2025-10-31 17:31:45,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.12, mean=0.02007, std=2.514, absmax=10.36 +2025-10-31 17:31:46,206 ERROR: Encountered non-finite generator loss at iter 8691; skipping update. +2025-10-31 17:31:46,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,209 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:46,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:46,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.38, mean=-0.2135, std=3.299, absmax=14.04 +2025-10-31 17:31:46,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.721, mean=-0.1455, std=2.732, absmax=11.86 +2025-10-31 17:31:46,718 ERROR: Encountered non-finite generator loss at iter 8692; skipping update. +2025-10-31 17:31:46,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:46,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:46,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:46,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:46,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.96, mean=-0.3107, std=3.048, absmax=13.96 +2025-10-31 17:31:46,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.005, mean=-0.2936, std=2.623, absmax=11.34 +2025-10-31 17:31:47,219 ERROR: Encountered non-finite generator loss at iter 8693; skipping update. +2025-10-31 17:31:47,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,226 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:47,227 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:47,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=14.9, mean=0.1161, std=3.169, absmax=14.9 +2025-10-31 17:31:47,229 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.31, max=13.5, mean=0.0878, std=2.758, absmax=13.5 +2025-10-31 17:31:47,721 ERROR: Encountered non-finite generator loss at iter 8694; skipping update. +2025-10-31 17:31:47,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,724 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,725 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:47,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:47,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:47,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:47,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.86, mean=-0.1136, std=3.079, absmax=13 +2025-10-31 17:31:47,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=10.1, mean=-0.1107, std=2.71, absmax=10.1 +2025-10-31 17:31:48,224 ERROR: Encountered non-finite generator loss at iter 8695; skipping update. +2025-10-31 17:31:48,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:48,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:48,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.01, mean=-0.288, std=3.282, absmax=13.01 +2025-10-31 17:31:48,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=9.431, mean=-0.3325, std=2.74, absmax=11.64 +2025-10-31 17:31:48,725 ERROR: Encountered non-finite generator loss at iter 8696; skipping update. +2025-10-31 17:31:48,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:48,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:48,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:48,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:48,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.64, mean=0.05475, std=3.815, absmax=14.64 +2025-10-31 17:31:48,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.358, max=12.28, mean=0.06679, std=3.242, absmax=12.28 +2025-10-31 17:31:49,227 ERROR: Encountered non-finite generator loss at iter 8697; skipping update. +2025-10-31 17:31:49,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,230 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:49,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:49,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=15.76, mean=-0.3986, std=3.028, absmax=15.76 +2025-10-31 17:31:49,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.34, mean=-0.3767, std=2.568, absmax=11.34 +2025-10-31 17:31:49,731 ERROR: Encountered non-finite generator loss at iter 8698; skipping update. +2025-10-31 17:31:49,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:49,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:49,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:49,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:49,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.41, mean=-0.08199, std=3.067, absmax=14.23 +2025-10-31 17:31:49,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.628, max=9.456, mean=-0.1215, std=2.507, absmax=9.628 +2025-10-31 17:31:50,233 ERROR: Encountered non-finite generator loss at iter 8699; skipping update. +2025-10-31 17:31:50,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,236 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,237 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,238 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:50,239 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:50,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.38, mean=-0.2502, std=2.643, absmax=12.38 +2025-10-31 17:31:50,241 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.111, max=8.876, mean=-0.2146, std=2.125, absmax=9.111 +2025-10-31 17:31:50,734 ERROR: Encountered non-finite generator loss at iter 8700; skipping update. +2025-10-31 17:31:50,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,736 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,737 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,739 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:50,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:50,741 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:50,742 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:50,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.02, mean=-0.4512, std=3.312, absmax=13.59 +2025-10-31 17:31:50,744 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.46, max=9.719, mean=-0.348, std=2.885, absmax=12.46 +2025-10-31 17:31:50,745 INFO: [29..][epoch: 0, step: 8,700, lr:(1.500e-04,)] [eta: 1 day, 16:35:48, time (data): 0.502 (0.000)] +2025-10-31 17:31:51,236 ERROR: Encountered non-finite generator loss at iter 8701; skipping update. +2025-10-31 17:31:51,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:51,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:51,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.1, mean=-0.2057, std=2.588, absmax=12.19 +2025-10-31 17:31:51,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.955, max=8.334, mean=-0.252, std=2.148, absmax=9.955 +2025-10-31 17:31:51,736 ERROR: Encountered non-finite generator loss at iter 8702; skipping update. +2025-10-31 17:31:51,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:51,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:51,743 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:51,744 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:51,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.4, mean=-0.1419, std=3.187, absmax=12.4 +2025-10-31 17:31:51,746 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=9.879, mean=-0.1481, std=2.786, absmax=11.4 +2025-10-31 17:31:52,238 ERROR: Encountered non-finite generator loss at iter 8703; skipping update. +2025-10-31 17:31:52,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,241 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,242 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,244 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,245 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:52,246 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:52,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=10.9, mean=-0.254, std=3.022, absmax=13.6 +2025-10-31 17:31:52,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=8.851, mean=-0.2789, std=2.731, absmax=11.71 +2025-10-31 17:31:52,739 ERROR: Encountered non-finite generator loss at iter 8704; skipping update. +2025-10-31 17:31:52,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:52,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:52,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:52,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:52,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=15.03, mean=-0.1604, std=2.863, absmax=15.03 +2025-10-31 17:31:52,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=9.196, mean=-0.2187, std=2.501, absmax=10.3 +2025-10-31 17:31:53,243 ERROR: Encountered non-finite generator loss at iter 8705; skipping update. +2025-10-31 17:31:53,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:53,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:53,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.56, mean=-0.2201, std=3.089, absmax=12.57 +2025-10-31 17:31:53,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.05, mean=-0.2061, std=2.597, absmax=10.34 +2025-10-31 17:31:53,744 ERROR: Encountered non-finite generator loss at iter 8706; skipping update. +2025-10-31 17:31:53,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:53,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:53,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:53,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:53,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.56, mean=-0.1225, std=2.882, absmax=12.56 +2025-10-31 17:31:53,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.213, max=8.011, mean=-0.1381, std=2.341, absmax=9.213 +2025-10-31 17:31:54,248 ERROR: Encountered non-finite generator loss at iter 8707; skipping update. +2025-10-31 17:31:54,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,250 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,252 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,253 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:54,253 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:54,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=10.83, mean=-0.3368, std=2.978, absmax=14.8 +2025-10-31 17:31:54,255 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=7.617, mean=-0.3177, std=2.382, absmax=10.51 +2025-10-31 17:31:54,747 ERROR: Encountered non-finite generator loss at iter 8708; skipping update. +2025-10-31 17:31:54,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:54,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:54,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:54,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:54,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.11, mean=-0.1291, std=3.357, absmax=13.51 +2025-10-31 17:31:54,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=12.48, mean=-0.1837, std=2.873, absmax=12.48 +2025-10-31 17:31:55,248 ERROR: Encountered non-finite generator loss at iter 8709; skipping update. +2025-10-31 17:31:55,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:55,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:55,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.73, mean=-0.2661, std=3.588, absmax=13.81 +2025-10-31 17:31:55,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.016, mean=-0.2834, std=2.965, absmax=10.32 +2025-10-31 17:31:55,750 ERROR: Encountered non-finite generator loss at iter 8710; skipping update. +2025-10-31 17:31:55,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,752 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:55,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:55,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:55,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:55,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.33, mean=-0.2378, std=2.859, absmax=12.91 +2025-10-31 17:31:55,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.956, max=9.718, mean=-0.2166, std=2.329, absmax=9.956 +2025-10-31 17:31:56,250 ERROR: Encountered non-finite generator loss at iter 8711; skipping update. +2025-10-31 17:31:56,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,256 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:56,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:56,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.04, mean=-0.2455, std=2.957, absmax=13.27 +2025-10-31 17:31:56,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=8.501, mean=-0.2431, std=2.507, absmax=10.85 +2025-10-31 17:31:56,753 ERROR: Encountered non-finite generator loss at iter 8712; skipping update. +2025-10-31 17:31:56,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,755 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:56,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:56,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:56,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:56,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=13.68, mean=-0.07325, std=3.548, absmax=14.76 +2025-10-31 17:31:56,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=11.36, mean=-0.04879, std=2.953, absmax=11.36 +2025-10-31 17:31:57,254 ERROR: Encountered non-finite generator loss at iter 8713; skipping update. +2025-10-31 17:31:57,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:57,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:57,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.2, mean=-0.1033, std=3.21, absmax=13.2 +2025-10-31 17:31:57,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.635, max=12.33, mean=-0.1248, std=2.903, absmax=12.33 +2025-10-31 17:31:57,755 ERROR: Encountered non-finite generator loss at iter 8714; skipping update. +2025-10-31 17:31:57,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:57,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:57,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:57,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:57,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=13.18, mean=-0.03686, std=3.083, absmax=13.9 +2025-10-31 17:31:57,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=10.72, mean=-0.04222, std=2.531, absmax=11.78 +2025-10-31 17:31:58,255 ERROR: Encountered non-finite generator loss at iter 8715; skipping update. +2025-10-31 17:31:58,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:58,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:58,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.69, mean=-0.3818, std=2.957, absmax=14.69 +2025-10-31 17:31:58,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.73, mean=-0.3295, std=2.536, absmax=11.07 +2025-10-31 17:31:58,754 ERROR: Encountered non-finite generator loss at iter 8716; skipping update. +2025-10-31 17:31:58,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:58,759 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:58,760 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:58,761 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:58,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.32, mean=-0.2587, std=3.703, absmax=13.65 +2025-10-31 17:31:58,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.59, max=10.84, mean=-0.2613, std=3.1, absmax=12.59 +2025-10-31 17:31:59,255 ERROR: Encountered non-finite generator loss at iter 8717; skipping update. +2025-10-31 17:31:59,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,257 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,258 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,259 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,260 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:59,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:59,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.16, mean=-0.1682, std=2.808, absmax=13.16 +2025-10-31 17:31:59,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=11.24, mean=-0.1683, std=2.523, absmax=11.34 +2025-10-31 17:31:59,762 ERROR: Encountered non-finite generator loss at iter 8718; skipping update. +2025-10-31 17:31:59,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:31:59,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:31:59,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:31:59,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:31:59,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.32, mean=-0.2122, std=2.64, absmax=12.32 +2025-10-31 17:31:59,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.495, max=8.989, mean=-0.201, std=2.141, absmax=9.495 +2025-10-31 17:32:00,261 ERROR: Encountered non-finite generator loss at iter 8719; skipping update. +2025-10-31 17:32:00,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,263 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:00,268 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:00,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.76, mean=-0.0784, std=2.76, absmax=14.54 +2025-10-31 17:32:00,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.813, max=8.477, mean=-0.1143, std=2.238, absmax=8.813 +2025-10-31 17:32:00,763 ERROR: Encountered non-finite generator loss at iter 8720; skipping update. +2025-10-31 17:32:00,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,765 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,765 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,766 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:00,768 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:00,769 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:00,770 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:00,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.78, mean=-0.2757, std=2.986, absmax=13.61 +2025-10-31 17:32:00,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.913, max=10.87, mean=-0.2514, std=2.559, absmax=10.87 +2025-10-31 17:32:01,264 ERROR: Encountered non-finite generator loss at iter 8721; skipping update. +2025-10-31 17:32:01,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,267 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,268 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:01,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:01,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=12.72, mean=-0.01064, std=3.227, absmax=15.54 +2025-10-31 17:32:01,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.47, mean=-0.01936, std=2.782, absmax=11.47 +2025-10-31 17:32:01,765 ERROR: Encountered non-finite generator loss at iter 8722; skipping update. +2025-10-31 17:32:01,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:01,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:01,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:01,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:01,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.88, mean=-0.1335, std=3.38, absmax=14.34 +2025-10-31 17:32:01,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=10.38, mean=-0.136, std=2.759, absmax=11.42 +2025-10-31 17:32:02,267 ERROR: Encountered non-finite generator loss at iter 8723; skipping update. +2025-10-31 17:32:02,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,269 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,269 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:02,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:02,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.94, mean=-0.2218, std=3.226, absmax=13.3 +2025-10-31 17:32:02,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.434, mean=-0.2127, std=2.615, absmax=10.43 +2025-10-31 17:32:02,766 ERROR: Encountered non-finite generator loss at iter 8724; skipping update. +2025-10-31 17:32:02,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:02,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:02,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:02,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:02,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.19, mean=-0.2718, std=3.085, absmax=13.04 +2025-10-31 17:32:02,775 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.324, mean=-0.2881, std=2.513, absmax=11.39 +2025-10-31 17:32:03,268 ERROR: Encountered non-finite generator loss at iter 8725; skipping update. +2025-10-31 17:32:03,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,270 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,271 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:03,274 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:03,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.38, mean=-0.2657, std=3.049, absmax=13.68 +2025-10-31 17:32:03,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=9.57, mean=-0.2351, std=2.417, absmax=11.36 +2025-10-31 17:32:03,769 ERROR: Encountered non-finite generator loss at iter 8726; skipping update. +2025-10-31 17:32:03,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:03,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:03,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:03,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:03,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12, mean=-0.2162, std=2.956, absmax=14.51 +2025-10-31 17:32:03,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.594, max=9.041, mean=-0.1651, std=2.525, absmax=9.594 +2025-10-31 17:32:04,289 ERROR: Encountered non-finite generator loss at iter 8727; skipping update. +2025-10-31 17:32:04,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:04,297 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:04,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.51, mean=-0.1163, std=2.789, absmax=12.86 +2025-10-31 17:32:04,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.89, mean=-0.1257, std=2.418, absmax=10.89 +2025-10-31 17:32:04,795 ERROR: Encountered non-finite generator loss at iter 8728; skipping update. +2025-10-31 17:32:04,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:04,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:04,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:04,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:04,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.81, mean=-0.09935, std=3.155, absmax=13.81 +2025-10-31 17:32:04,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.659, max=12.3, mean=-0.04953, std=2.705, absmax=12.3 +2025-10-31 17:32:05,302 ERROR: Encountered non-finite generator loss at iter 8729; skipping update. +2025-10-31 17:32:05,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,308 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,309 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:05,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:05,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.42, mean=-0.09991, std=3.567, absmax=14.42 +2025-10-31 17:32:05,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.72, max=13.34, mean=-0.08146, std=3.013, absmax=13.34 +2025-10-31 17:32:05,810 ERROR: Encountered non-finite generator loss at iter 8730; skipping update. +2025-10-31 17:32:05,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:05,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:05,817 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:05,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:05,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.66, mean=-0.09462, std=3.143, absmax=13.66 +2025-10-31 17:32:05,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.75, mean=-0.0758, std=2.647, absmax=10.27 +2025-10-31 17:32:06,315 ERROR: Encountered non-finite generator loss at iter 8731; skipping update. +2025-10-31 17:32:06,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,321 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,322 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:06,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:06,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=12.97, mean=-0.1618, std=2.914, absmax=15.13 +2025-10-31 17:32:06,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=8.96, mean=-0.1579, std=2.59, absmax=10.31 +2025-10-31 17:32:06,821 ERROR: Encountered non-finite generator loss at iter 8732; skipping update. +2025-10-31 17:32:06,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,826 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,827 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:06,828 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:06,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:06,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:06,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=14.19, mean=-0.2536, std=3.103, absmax=14.92 +2025-10-31 17:32:06,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.202, mean=-0.2742, std=2.425, absmax=10.48 +2025-10-31 17:32:07,326 ERROR: Encountered non-finite generator loss at iter 8733; skipping update. +2025-10-31 17:32:07,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:07,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:07,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.56, mean=-0.1061, std=3.411, absmax=13.35 +2025-10-31 17:32:07,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=9.786, mean=-0.08752, std=2.866, absmax=11.27 +2025-10-31 17:32:07,833 ERROR: Encountered non-finite generator loss at iter 8734; skipping update. +2025-10-31 17:32:07,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:07,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:07,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:07,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:07,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.38, mean=-0.2522, std=3.225, absmax=13.38 +2025-10-31 17:32:07,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.806, mean=-0.2298, std=2.573, absmax=10.65 +2025-10-31 17:32:08,335 ERROR: Encountered non-finite generator loss at iter 8735; skipping update. +2025-10-31 17:32:08,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,338 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,339 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:08,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:08,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.37, mean=-0.04367, std=3.291, absmax=14.37 +2025-10-31 17:32:08,344 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=11.11, mean=-0.03774, std=2.745, absmax=11.19 +2025-10-31 17:32:08,839 ERROR: Encountered non-finite generator loss at iter 8736; skipping update. +2025-10-31 17:32:08,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,845 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:08,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:08,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:08,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:08,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.96, mean=0.01377, std=3.605, absmax=13.96 +2025-10-31 17:32:08,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=12.02, mean=0.03742, std=3.122, absmax=12.02 +2025-10-31 17:32:09,343 ERROR: Encountered non-finite generator loss at iter 8737; skipping update. +2025-10-31 17:32:09,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,349 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:09,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:09,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=15, mean=-0.1773, std=2.753, absmax=15 +2025-10-31 17:32:09,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.885, mean=-0.1848, std=2.238, absmax=10.02 +2025-10-31 17:32:09,847 ERROR: Encountered non-finite generator loss at iter 8738; skipping update. +2025-10-31 17:32:09,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:09,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:09,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:09,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:09,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.36, mean=-0.1678, std=2.517, absmax=11.62 +2025-10-31 17:32:09,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.477, max=8.717, mean=-0.1916, std=2.085, absmax=9.477 +2025-10-31 17:32:10,350 ERROR: Encountered non-finite generator loss at iter 8739; skipping update. +2025-10-31 17:32:10,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,353 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,354 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:10,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:10,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=16.93, mean=-0.2852, std=2.668, absmax=16.93 +2025-10-31 17:32:10,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=11.52, mean=-0.3128, std=2.523, absmax=11.66 +2025-10-31 17:32:10,855 ERROR: Encountered non-finite generator loss at iter 8740; skipping update. +2025-10-31 17:32:10,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:10,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:10,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:10,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:10,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.72, mean=-0.2757, std=3.062, absmax=13.58 +2025-10-31 17:32:10,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=8.761, mean=-0.3056, std=2.454, absmax=10.15 +2025-10-31 17:32:11,358 ERROR: Encountered non-finite generator loss at iter 8741; skipping update. +2025-10-31 17:32:11,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:11,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:11,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=12.28, mean=-0.2174, std=2.833, absmax=12.28 +2025-10-31 17:32:11,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.752, max=9.373, mean=-0.2406, std=2.234, absmax=9.752 +2025-10-31 17:32:11,864 ERROR: Encountered non-finite generator loss at iter 8742; skipping update. +2025-10-31 17:32:11,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,868 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,869 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:11,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:11,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:11,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:11,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.74, mean=-0.1641, std=2.32, absmax=13.06 +2025-10-31 17:32:11,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.164, max=8.017, mean=-0.1648, std=2.006, absmax=9.164 +2025-10-31 17:32:12,369 ERROR: Encountered non-finite generator loss at iter 8743; skipping update. +2025-10-31 17:32:12,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:12,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:12,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.81, mean=-0.1844, std=2.929, absmax=13.81 +2025-10-31 17:32:12,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.12, max=14.12, mean=-0.1505, std=2.645, absmax=14.12 +2025-10-31 17:32:12,873 ERROR: Encountered non-finite generator loss at iter 8744; skipping update. +2025-10-31 17:32:12,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:12,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:12,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:12,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:12,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.52, mean=-0.1397, std=2.675, absmax=12.52 +2025-10-31 17:32:12,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.777, max=8.446, mean=-0.1406, std=2.115, absmax=8.777 +2025-10-31 17:32:13,379 ERROR: Encountered non-finite generator loss at iter 8745; skipping update. +2025-10-31 17:32:13,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:13,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:13,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=15.69, mean=-0.06942, std=3.378, absmax=15.69 +2025-10-31 17:32:13,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.57, mean=-0.06974, std=2.879, absmax=11.57 +2025-10-31 17:32:13,894 ERROR: Encountered non-finite generator loss at iter 8746; skipping update. +2025-10-31 17:32:13,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:13,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:13,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:13,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:13,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=10.78, mean=-0.2384, std=2.459, absmax=11.11 +2025-10-31 17:32:13,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.775, max=8.543, mean=-0.2528, std=2.248, absmax=8.775 +2025-10-31 17:32:14,416 ERROR: Encountered non-finite generator loss at iter 8747; skipping update. +2025-10-31 17:32:14,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:14,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:14,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.43, mean=0.04924, std=3.146, absmax=12.43 +2025-10-31 17:32:14,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.984, max=9.918, mean=0.03802, std=2.612, absmax=9.984 +2025-10-31 17:32:14,921 ERROR: Encountered non-finite generator loss at iter 8748; skipping update. +2025-10-31 17:32:14,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:14,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:14,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:14,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:14,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.84, max=15.64, mean=-0.1979, std=3.642, absmax=17.84 +2025-10-31 17:32:14,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.75, max=12.88, mean=-0.1135, std=3.175, absmax=12.88 +2025-10-31 17:32:15,425 ERROR: Encountered non-finite generator loss at iter 8749; skipping update. +2025-10-31 17:32:15,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,430 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:15,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:15,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.28, mean=-0.123, std=2.708, absmax=14.28 +2025-10-31 17:32:15,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.194, max=7.645, mean=-0.161, std=2.242, absmax=9.194 +2025-10-31 17:32:15,931 ERROR: Encountered non-finite generator loss at iter 8750; skipping update. +2025-10-31 17:32:15,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,935 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,936 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,937 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:15,938 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:15,939 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:15,940 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:15,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=16.08, mean=-0.03631, std=3, absmax=16.08 +2025-10-31 17:32:15,942 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=11.8, mean=-0.06228, std=2.553, absmax=11.8 +2025-10-31 17:32:16,435 ERROR: Encountered non-finite generator loss at iter 8751; skipping update. +2025-10-31 17:32:16,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,438 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,441 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,442 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,443 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:16,444 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:16,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=15.68, mean=-0.02537, std=3.708, absmax=15.68 +2025-10-31 17:32:16,446 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=12.74, mean=-0.0202, std=3.21, absmax=12.74 +2025-10-31 17:32:16,941 ERROR: Encountered non-finite generator loss at iter 8752; skipping update. +2025-10-31 17:32:16,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,944 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,945 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,946 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,947 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:16,948 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:16,949 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:16,950 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:16,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.14, mean=-0.2257, std=3.645, absmax=14.87 +2025-10-31 17:32:16,952 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.34, mean=-0.2055, std=2.873, absmax=10.91 +2025-10-31 17:32:17,447 ERROR: Encountered non-finite generator loss at iter 8753; skipping update. +2025-10-31 17:32:17,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:17,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:17,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=15.15, mean=-0.3229, std=3.57, absmax=15.15 +2025-10-31 17:32:17,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.48, max=13.31, mean=-0.2641, std=2.982, absmax=13.48 +2025-10-31 17:32:17,952 ERROR: Encountered non-finite generator loss at iter 8754; skipping update. +2025-10-31 17:32:17,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:17,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:17,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:17,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:17,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.53, mean=-0.1552, std=3.172, absmax=14.23 +2025-10-31 17:32:17,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=10.63, mean=-0.1544, std=2.759, absmax=11.06 +2025-10-31 17:32:18,457 ERROR: Encountered non-finite generator loss at iter 8755; skipping update. +2025-10-31 17:32:18,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,463 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:18,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:18,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.23, mean=-0.01967, std=3.388, absmax=14.23 +2025-10-31 17:32:18,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=12.69, mean=-0.0278, std=2.862, absmax=12.69 +2025-10-31 17:32:18,959 ERROR: Encountered non-finite generator loss at iter 8756; skipping update. +2025-10-31 17:32:18,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:18,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:18,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:18,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:18,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.97, mean=0.0397, std=3.623, absmax=13.26 +2025-10-31 17:32:18,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.43, max=11.43, mean=0.02406, std=3.149, absmax=12.43 +2025-10-31 17:32:19,463 ERROR: Encountered non-finite generator loss at iter 8757; skipping update. +2025-10-31 17:32:19,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,465 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,468 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,470 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:19,471 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:19,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=15, mean=-0.09546, std=3.341, absmax=15 +2025-10-31 17:32:19,473 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=11.08, mean=-0.07013, std=2.934, absmax=12.5 +2025-10-31 17:32:19,967 ERROR: Encountered non-finite generator loss at iter 8758; skipping update. +2025-10-31 17:32:19,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,971 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,972 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:19,973 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:19,974 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:19,975 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:19,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.99, mean=-0.3299, std=3.527, absmax=14.99 +2025-10-31 17:32:19,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=11.8, mean=-0.2957, std=2.88, absmax=12.04 +2025-10-31 17:32:20,471 ERROR: Encountered non-finite generator loss at iter 8759; skipping update. +2025-10-31 17:32:20,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,473 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,474 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,475 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,476 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,477 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,478 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:20,478 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:20,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.5, mean=-0.2887, std=2.885, absmax=13.5 +2025-10-31 17:32:20,480 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.643, mean=-0.3078, std=2.279, absmax=10.08 +2025-10-31 17:32:20,974 ERROR: Encountered non-finite generator loss at iter 8760; skipping update. +2025-10-31 17:32:20,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:20,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:20,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:20,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:20,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=15.08, mean=-0.1062, std=2.841, absmax=15.08 +2025-10-31 17:32:20,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.431, max=9.667, mean=-0.1296, std=2.362, absmax=9.667 +2025-10-31 17:32:21,481 ERROR: Encountered non-finite generator loss at iter 8761; skipping update. +2025-10-31 17:32:21,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:21,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:21,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.67, mean=-0.2864, std=3.125, absmax=13.29 +2025-10-31 17:32:21,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=7.502, mean=-0.2761, std=2.605, absmax=11.01 +2025-10-31 17:32:21,981 ERROR: Encountered non-finite generator loss at iter 8762; skipping update. +2025-10-31 17:32:21,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,984 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:21,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:21,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:21,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:21,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=12.14, mean=-0.2879, std=2.461, absmax=12.14 +2025-10-31 17:32:21,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.42, max=7.812, mean=-0.2962, std=2.111, absmax=9.42 +2025-10-31 17:32:22,485 ERROR: Encountered non-finite generator loss at iter 8763; skipping update. +2025-10-31 17:32:22,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,488 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,490 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:22,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:22,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.96, mean=-0.2313, std=2.63, absmax=14.96 +2025-10-31 17:32:22,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=11.64, mean=-0.2034, std=2.397, absmax=11.64 +2025-10-31 17:32:22,987 ERROR: Encountered non-finite generator loss at iter 8764; skipping update. +2025-10-31 17:32:22,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,989 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,990 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,991 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,992 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:22,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:22,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:22,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:22,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=13.66, mean=0.1098, std=3.534, absmax=15.41 +2025-10-31 17:32:22,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.79, mean=0.07288, std=2.951, absmax=10.79 +2025-10-31 17:32:23,488 ERROR: Encountered non-finite generator loss at iter 8765; skipping update. +2025-10-31 17:32:23,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:23,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:23,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.36, mean=-0.117, std=3.289, absmax=14.36 +2025-10-31 17:32:23,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=12.16, mean=-0.1624, std=2.938, absmax=12.16 +2025-10-31 17:32:23,990 ERROR: Encountered non-finite generator loss at iter 8766; skipping update. +2025-10-31 17:32:23,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:23,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:23,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:23,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:23,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=17.19, mean=-0.1209, std=3.353, absmax=17.19 +2025-10-31 17:32:24,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.854, mean=-0.05901, std=2.702, absmax=10.05 +2025-10-31 17:32:24,491 ERROR: Encountered non-finite generator loss at iter 8767; skipping update. +2025-10-31 17:32:24,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:24,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:24,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.5, mean=-0.01988, std=3.627, absmax=14.5 +2025-10-31 17:32:24,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=12.35, mean=-0.03073, std=3.073, absmax=12.35 +2025-10-31 17:32:24,992 ERROR: Encountered non-finite generator loss at iter 8768; skipping update. +2025-10-31 17:32:24,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,994 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,995 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,996 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,997 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:24,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:24,999 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:25,000 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:25,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.81, mean=-0.1587, std=2.636, absmax=12.81 +2025-10-31 17:32:25,002 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.446, max=9.286, mean=-0.1758, std=2.137, absmax=9.286 +2025-10-31 17:32:25,494 ERROR: Encountered non-finite generator loss at iter 8769; skipping update. +2025-10-31 17:32:25,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:25,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:25,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:25,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:25,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:25,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:25,501 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:25,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:25,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=10.94, mean=-0.2538, std=2.891, absmax=13.62 +2025-10-31 17:32:25,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=8.3, mean=-0.2437, std=2.405, absmax=10.68 +2025-10-31 17:32:25,995 ERROR: Encountered non-finite generator loss at iter 8770; skipping update. +2025-10-31 17:32:25,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:25,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:25,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:25,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:26,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:26,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:26,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:26,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:26,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.71, mean=-0.111, std=3.083, absmax=12.93 +2025-10-31 17:32:26,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.373, max=8.658, mean=-0.05944, std=2.484, absmax=9.373 +2025-10-31 17:32:26,496 ERROR: Encountered non-finite generator loss at iter 8771; skipping update. +2025-10-31 17:32:26,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:26,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:26,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:26,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:26,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:26,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:26,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:26,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:26,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.41, mean=-0.2411, std=2.828, absmax=13.41 +2025-10-31 17:32:26,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=9.603, mean=-0.2365, std=2.408, absmax=11.46 +2025-10-31 17:32:26,997 ERROR: Encountered non-finite generator loss at iter 8772; skipping update. +2025-10-31 17:32:26,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:27,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:27,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.13, mean=-0.1252, std=2.933, absmax=12.13 +2025-10-31 17:32:27,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.737, max=9.726, mean=-0.1265, std=2.441, absmax=9.726 +2025-10-31 17:32:27,497 ERROR: Encountered non-finite generator loss at iter 8773; skipping update. +2025-10-31 17:32:27,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:27,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:27,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:27,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:27,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.75, mean=-0.1011, std=2.882, absmax=13.75 +2025-10-31 17:32:27,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.001, max=9.868, mean=-0.1515, std=2.376, absmax=9.868 +2025-10-31 17:32:27,999 ERROR: Encountered non-finite generator loss at iter 8774; skipping update. +2025-10-31 17:32:28,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:28,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:28,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.9, mean=-0.1744, std=2.809, absmax=14.9 +2025-10-31 17:32:28,010 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.988, max=9.38, mean=-0.1978, std=2.237, absmax=9.38 +2025-10-31 17:32:28,504 ERROR: Encountered non-finite generator loss at iter 8775; skipping update. +2025-10-31 17:32:28,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,507 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:28,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:28,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:28,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:28,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.55, mean=-0.1831, std=2.723, absmax=13.55 +2025-10-31 17:32:28,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.381, max=8.365, mean=-0.1822, std=2.261, absmax=9.381 +2025-10-31 17:32:29,009 ERROR: Encountered non-finite generator loss at iter 8776; skipping update. +2025-10-31 17:32:29,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,012 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,013 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,015 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,016 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:29,017 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:29,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14, mean=-0.2263, std=3.266, absmax=14 +2025-10-31 17:32:29,019 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.88, mean=-0.2226, std=2.936, absmax=11.88 +2025-10-31 17:32:29,512 ERROR: Encountered non-finite generator loss at iter 8777; skipping update. +2025-10-31 17:32:29,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:29,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:29,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:29,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:29,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.04, mean=-0.2131, std=3.3, absmax=13.04 +2025-10-31 17:32:29,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.755, max=9.542, mean=-0.2259, std=2.637, absmax=9.755 +2025-10-31 17:32:30,015 ERROR: Encountered non-finite generator loss at iter 8778; skipping update. +2025-10-31 17:32:30,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,020 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:30,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:30,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=10.09, mean=-0.3224, std=2.589, absmax=12.29 +2025-10-31 17:32:30,026 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.897, max=8.129, mean=-0.255, std=2.21, absmax=9.897 +2025-10-31 17:32:30,518 ERROR: Encountered non-finite generator loss at iter 8779; skipping update. +2025-10-31 17:32:30,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,521 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:30,525 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:30,526 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:30,527 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:30,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.63, mean=-0.09352, std=3.029, absmax=13.63 +2025-10-31 17:32:30,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=8.658, mean=-0.1247, std=2.431, absmax=10.13 +2025-10-31 17:32:31,020 ERROR: Encountered non-finite generator loss at iter 8780; skipping update. +2025-10-31 17:32:31,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,023 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,024 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,025 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,026 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,027 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,028 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:31,029 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:31,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.98, mean=-0.1479, std=2.858, absmax=11.98 +2025-10-31 17:32:31,031 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.491, max=8.996, mean=-0.1411, std=2.308, absmax=9.491 +2025-10-31 17:32:31,525 ERROR: Encountered non-finite generator loss at iter 8781; skipping update. +2025-10-31 17:32:31,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,528 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:31,532 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:31,533 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:31,534 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:31,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.96, mean=-0.1535, std=2.88, absmax=13.96 +2025-10-31 17:32:31,536 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=9.221, mean=-0.1109, std=2.352, absmax=11.94 +2025-10-31 17:32:32,028 ERROR: Encountered non-finite generator loss at iter 8782; skipping update. +2025-10-31 17:32:32,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:32,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:32,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.1, mean=-0.1515, std=2.85, absmax=13.1 +2025-10-31 17:32:32,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=9.933, mean=-0.1829, std=2.324, absmax=10.4 +2025-10-31 17:32:32,533 ERROR: Encountered non-finite generator loss at iter 8783; skipping update. +2025-10-31 17:32:32,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,535 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:32,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:32,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:32,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:32,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=14.57, mean=-0.1398, std=2.769, absmax=14.57 +2025-10-31 17:32:32,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.27, max=9.879, mean=-0.1557, std=2.361, absmax=9.879 +2025-10-31 17:32:33,033 ERROR: Encountered non-finite generator loss at iter 8784; skipping update. +2025-10-31 17:32:33,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:33,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:33,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.26, mean=-0.1578, std=3.508, absmax=13.26 +2025-10-31 17:32:33,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.11, mean=-0.1217, std=2.886, absmax=11.11 +2025-10-31 17:32:33,537 ERROR: Encountered non-finite generator loss at iter 8785; skipping update. +2025-10-31 17:32:33,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,539 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:33,543 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:33,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:33,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:33,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.23, mean=-0.01875, std=3.292, absmax=13.23 +2025-10-31 17:32:33,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=10.82, mean=-0.009793, std=2.737, absmax=10.82 +2025-10-31 17:32:34,039 ERROR: Encountered non-finite generator loss at iter 8786; skipping update. +2025-10-31 17:32:34,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,043 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,044 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,045 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:34,046 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:34,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.46, mean=-0.04943, std=2.903, absmax=15.46 +2025-10-31 17:32:34,048 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=9.897, mean=-0.08126, std=2.369, absmax=10.51 +2025-10-31 17:32:34,540 ERROR: Encountered non-finite generator loss at iter 8787; skipping update. +2025-10-31 17:32:34,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:34,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:34,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:34,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:34,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.07, mean=-0.3363, std=3.203, absmax=13.63 +2025-10-31 17:32:34,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.264, mean=-0.2856, std=2.713, absmax=10.87 +2025-10-31 17:32:35,042 ERROR: Encountered non-finite generator loss at iter 8788; skipping update. +2025-10-31 17:32:35,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:35,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:35,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.31, max=10.79, mean=-0.2817, std=2.624, absmax=10.79 +2025-10-31 17:32:35,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.63, max=9.07, mean=-0.3003, std=2.455, absmax=9.63 +2025-10-31 17:32:35,544 ERROR: Encountered non-finite generator loss at iter 8789; skipping update. +2025-10-31 17:32:35,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:35,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:35,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:35,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:35,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.27, mean=-0.2847, std=2.803, absmax=13.12 +2025-10-31 17:32:35,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.45, mean=-0.2186, std=2.307, absmax=10.45 +2025-10-31 17:32:36,048 ERROR: Encountered non-finite generator loss at iter 8790; skipping update. +2025-10-31 17:32:36,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,050 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:36,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:36,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.03, mean=-0.06725, std=3.159, absmax=13.03 +2025-10-31 17:32:36,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.4, mean=-0.07142, std=2.709, absmax=10.4 +2025-10-31 17:32:36,552 ERROR: Encountered non-finite generator loss at iter 8791; skipping update. +2025-10-31 17:32:36,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:36,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:36,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:36,560 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:36,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.36, mean=-0.02423, std=3.039, absmax=15.36 +2025-10-31 17:32:36,562 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.78, mean=-0.04856, std=2.662, absmax=10.78 +2025-10-31 17:32:37,054 ERROR: Encountered non-finite generator loss at iter 8792; skipping update. +2025-10-31 17:32:37,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,056 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,057 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:37,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:37,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.5, mean=-0.1907, std=3.442, absmax=13.3 +2025-10-31 17:32:37,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.75, max=9.377, mean=-0.2489, std=3.107, absmax=12.75 +2025-10-31 17:32:37,556 ERROR: Encountered non-finite generator loss at iter 8793; skipping update. +2025-10-31 17:32:37,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:37,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:37,563 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:37,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:37,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.12, mean=-0.01377, std=3.296, absmax=14.12 +2025-10-31 17:32:37,566 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.957, max=11.79, mean=-0.01427, std=2.921, absmax=11.79 +2025-10-31 17:32:38,057 ERROR: Encountered non-finite generator loss at iter 8794; skipping update. +2025-10-31 17:32:38,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,064 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,065 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:38,066 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:38,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=10.44, mean=-0.2152, std=2.667, absmax=13.26 +2025-10-31 17:32:38,068 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.461, max=8.012, mean=-0.2314, std=2.366, absmax=9.461 +2025-10-31 17:32:38,562 ERROR: Encountered non-finite generator loss at iter 8795; skipping update. +2025-10-31 17:32:38,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:38,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:38,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:38,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:38,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.22, mean=-0.2596, std=3.167, absmax=12.93 +2025-10-31 17:32:38,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.752, mean=-0.2137, std=2.662, absmax=10.17 +2025-10-31 17:32:39,065 ERROR: Encountered non-finite generator loss at iter 8796; skipping update. +2025-10-31 17:32:39,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,067 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,068 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,068 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,071 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:39,072 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:39,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=15.28, mean=0.01146, std=3.367, absmax=15.28 +2025-10-31 17:32:39,074 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=11.1, mean=0.00652, std=2.753, absmax=11.82 +2025-10-31 17:32:39,567 ERROR: Encountered non-finite generator loss at iter 8797; skipping update. +2025-10-31 17:32:39,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,570 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,570 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,571 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:39,572 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:39,573 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:39,574 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:39,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.71, mean=-0.3139, std=2.731, absmax=12.71 +2025-10-31 17:32:39,576 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.685, max=8.098, mean=-0.303, std=2.279, absmax=9.685 +2025-10-31 17:32:40,068 ERROR: Encountered non-finite generator loss at iter 8798; skipping update. +2025-10-31 17:32:40,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:40,076 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:40,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.71, mean=-0.1876, std=2.491, absmax=11.82 +2025-10-31 17:32:40,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.345, max=10.32, mean=-0.1723, std=2.188, absmax=10.32 +2025-10-31 17:32:40,573 ERROR: Encountered non-finite generator loss at iter 8799; skipping update. +2025-10-31 17:32:40,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:40,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:40,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:40,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:40,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.46, mean=-0.2159, std=2.778, absmax=13.03 +2025-10-31 17:32:40,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.42, max=9.329, mean=-0.2356, std=2.299, absmax=12.42 +2025-10-31 17:32:41,077 ERROR: Encountered non-finite generator loss at iter 8800; skipping update. +2025-10-31 17:32:41,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,081 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:41,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:41,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=10.23, mean=-0.262, std=2.473, absmax=11.79 +2025-10-31 17:32:41,089 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.824, max=7.947, mean=-0.2518, std=2.143, absmax=9.824 +2025-10-31 17:32:41,090 INFO: [29..][epoch: 0, step: 8,800, lr:(1.500e-04,)] [eta: 1 day, 16:30:08, time (data): 0.503 (0.000)] +2025-10-31 17:32:41,584 ERROR: Encountered non-finite generator loss at iter 8801; skipping update. +2025-10-31 17:32:41,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:41,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:41,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:41,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:41,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=17.07, mean=-0.1356, std=3.33, absmax=17.07 +2025-10-31 17:32:41,594 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=11.41, mean=-0.13, std=2.67, absmax=11.41 +2025-10-31 17:32:42,095 ERROR: Encountered non-finite generator loss at iter 8802; skipping update. +2025-10-31 17:32:42,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:42,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:42,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.1, mean=-0.06788, std=3.368, absmax=14.1 +2025-10-31 17:32:42,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.69, mean=-0.04048, std=2.786, absmax=10.69 +2025-10-31 17:32:42,594 ERROR: Encountered non-finite generator loss at iter 8803; skipping update. +2025-10-31 17:32:42,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:42,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:42,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:42,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:42,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=12.67, mean=-0.2146, std=2.612, absmax=14.5 +2025-10-31 17:32:42,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.556, max=8.513, mean=-0.2555, std=2.137, absmax=8.556 +2025-10-31 17:32:43,097 ERROR: Encountered non-finite generator loss at iter 8804; skipping update. +2025-10-31 17:32:43,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:43,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:43,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=16.87, mean=-0.03324, std=2.664, absmax=16.87 +2025-10-31 17:32:43,107 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.901, max=8.761, mean=-0.02015, std=2.246, absmax=8.901 +2025-10-31 17:32:43,599 ERROR: Encountered non-finite generator loss at iter 8805; skipping update. +2025-10-31 17:32:43,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:43,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:43,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:43,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:43,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.19, max=17.57, mean=-0.05229, std=3.933, absmax=17.57 +2025-10-31 17:32:43,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.5, max=14.23, mean=-0.07819, std=3.397, absmax=14.23 +2025-10-31 17:32:44,100 ERROR: Encountered non-finite generator loss at iter 8806; skipping update. +2025-10-31 17:32:44,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,103 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:44,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:44,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=9.851, mean=-0.2177, std=2.57, absmax=13.73 +2025-10-31 17:32:44,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.53, max=8.211, mean=-0.2366, std=2.135, absmax=9.53 +2025-10-31 17:32:44,599 ERROR: Encountered non-finite generator loss at iter 8807; skipping update. +2025-10-31 17:32:44,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,602 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:44,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:44,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:44,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:44,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=10.47, mean=-0.1207, std=2.307, absmax=12.08 +2025-10-31 17:32:44,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.98, max=7.888, mean=-0.1193, std=2.058, absmax=9.98 +2025-10-31 17:32:45,100 ERROR: Encountered non-finite generator loss at iter 8808; skipping update. +2025-10-31 17:32:45,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,105 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:45,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:45,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.21, mean=-0.2881, std=2.733, absmax=13.21 +2025-10-31 17:32:45,110 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=8.226, mean=-0.2804, std=2.398, absmax=10.23 +2025-10-31 17:32:45,601 ERROR: Encountered non-finite generator loss at iter 8809; skipping update. +2025-10-31 17:32:45,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:45,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:45,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:45,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:45,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.09, mean=-0.1455, std=3.245, absmax=13.7 +2025-10-31 17:32:45,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=10.1, mean=-0.1254, std=2.717, absmax=10.46 +2025-10-31 17:32:46,102 ERROR: Encountered non-finite generator loss at iter 8810; skipping update. +2025-10-31 17:32:46,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,109 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:46,110 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:46,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12.06, mean=-0.09101, std=2.978, absmax=14.51 +2025-10-31 17:32:46,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.817, max=10.03, mean=-0.08275, std=2.623, absmax=10.03 +2025-10-31 17:32:46,606 ERROR: Encountered non-finite generator loss at iter 8811; skipping update. +2025-10-31 17:32:46,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:46,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:46,614 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:46,615 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:46,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.02, mean=-0.2299, std=2.979, absmax=14.02 +2025-10-31 17:32:46,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.171, mean=-0.2445, std=2.393, absmax=10.6 +2025-10-31 17:32:47,110 ERROR: Encountered non-finite generator loss at iter 8812; skipping update. +2025-10-31 17:32:47,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,115 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,116 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,117 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,118 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:47,119 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:47,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=10.08, mean=-0.1255, std=2.76, absmax=10.7 +2025-10-31 17:32:47,121 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.546, max=8.805, mean=-0.1049, std=2.409, absmax=9.546 +2025-10-31 17:32:47,614 ERROR: Encountered non-finite generator loss at iter 8813; skipping update. +2025-10-31 17:32:47,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:47,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:47,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:47,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:47,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.49, mean=0.1286, std=2.967, absmax=13.49 +2025-10-31 17:32:47,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.035, max=11.41, mean=0.1314, std=2.613, absmax=11.41 +2025-10-31 17:32:48,116 ERROR: Encountered non-finite generator loss at iter 8814; skipping update. +2025-10-31 17:32:48,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,119 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,121 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,122 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:48,123 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:48,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.25, mean=-0.05887, std=3.144, absmax=13.25 +2025-10-31 17:32:48,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.694, max=10.37, mean=-0.1452, std=2.515, absmax=10.37 +2025-10-31 17:32:48,617 ERROR: Encountered non-finite generator loss at iter 8815; skipping update. +2025-10-31 17:32:48,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:48,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:48,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:48,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:48,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.47, mean=-0.007886, std=3.104, absmax=13.18 +2025-10-31 17:32:48,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=10.29, mean=-0.0705, std=2.633, absmax=10.29 +2025-10-31 17:32:49,120 ERROR: Encountered non-finite generator loss at iter 8816; skipping update. +2025-10-31 17:32:49,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:49,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:49,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.82, mean=0.06876, std=3.487, absmax=12.82 +2025-10-31 17:32:49,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=9.847, mean=0.03846, std=2.763, absmax=10.05 +2025-10-31 17:32:49,622 ERROR: Encountered non-finite generator loss at iter 8817; skipping update. +2025-10-31 17:32:49,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:49,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:49,628 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:49,629 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:49,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.82, mean=-0.1591, std=3.739, absmax=13.82 +2025-10-31 17:32:49,631 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.36, max=10.74, mean=-0.1647, std=3.24, absmax=13.36 +2025-10-31 17:32:50,121 ERROR: Encountered non-finite generator loss at iter 8818; skipping update. +2025-10-31 17:32:50,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:50,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:50,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.2, mean=-0.2447, std=2.996, absmax=13.2 +2025-10-31 17:32:50,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.994, max=9.352, mean=-0.2007, std=2.632, absmax=9.994 +2025-10-31 17:32:50,624 ERROR: Encountered non-finite generator loss at iter 8819; skipping update. +2025-10-31 17:32:50,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:50,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:50,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:50,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:50,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.91, mean=-0.08361, std=2.998, absmax=13.08 +2025-10-31 17:32:50,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=10.9, mean=-0.08418, std=2.52, absmax=10.9 +2025-10-31 17:32:51,124 ERROR: Encountered non-finite generator loss at iter 8820; skipping update. +2025-10-31 17:32:51,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,126 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:51,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:51,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.19, mean=-0.2257, std=3.05, absmax=13.52 +2025-10-31 17:32:51,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=10.48, mean=-0.1524, std=2.547, absmax=10.48 +2025-10-31 17:32:51,625 ERROR: Encountered non-finite generator loss at iter 8821; skipping update. +2025-10-31 17:32:51,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:51,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:51,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:51,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:51,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=15.44, mean=-0.07164, std=3.034, absmax=15.44 +2025-10-31 17:32:51,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.17, max=12.33, mean=-0.06218, std=2.533, absmax=12.33 +2025-10-31 17:32:52,128 ERROR: Encountered non-finite generator loss at iter 8822; skipping update. +2025-10-31 17:32:52,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:52,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:52,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.4, mean=-0.02137, std=3.141, absmax=13.4 +2025-10-31 17:32:52,137 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=11.21, mean=-0.03708, std=2.523, absmax=11.21 +2025-10-31 17:32:52,629 ERROR: Encountered non-finite generator loss at iter 8823; skipping update. +2025-10-31 17:32:52,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,631 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:52,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:52,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:52,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:52,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.15, mean=0.02958, std=3.178, absmax=13.98 +2025-10-31 17:32:52,638 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.973, max=9.386, mean=-0.02088, std=2.628, absmax=9.973 +2025-10-31 17:32:53,130 ERROR: Encountered non-finite generator loss at iter 8824; skipping update. +2025-10-31 17:32:53,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,133 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:53,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:53,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=19.5, mean=-0.2895, std=3.025, absmax=19.5 +2025-10-31 17:32:53,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=13.72, mean=-0.2494, std=2.577, absmax=13.72 +2025-10-31 17:32:53,632 ERROR: Encountered non-finite generator loss at iter 8825; skipping update. +2025-10-31 17:32:53,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,635 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:53,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:53,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:53,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:53,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.92, mean=-0.07671, std=3.817, absmax=14.07 +2025-10-31 17:32:53,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.66, max=11.88, mean=-0.06036, std=3.429, absmax=13.66 +2025-10-31 17:32:54,132 ERROR: Encountered non-finite generator loss at iter 8826; skipping update. +2025-10-31 17:32:54,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,135 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,136 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,139 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:54,140 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:54,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.87, mean=-0.166, std=3.259, absmax=13.58 +2025-10-31 17:32:54,142 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=9.606, mean=-0.1765, std=2.567, absmax=11.22 +2025-10-31 17:32:54,634 ERROR: Encountered non-finite generator loss at iter 8827; skipping update. +2025-10-31 17:32:54,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,637 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,637 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:54,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:54,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:54,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:54,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.54, mean=-0.2741, std=3.55, absmax=13.54 +2025-10-31 17:32:54,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.02, max=10.57, mean=-0.2376, std=3.05, absmax=11.02 +2025-10-31 17:32:55,135 ERROR: Encountered non-finite generator loss at iter 8828; skipping update. +2025-10-31 17:32:55,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,139 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,140 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:55,142 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:55,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.97, mean=-0.1412, std=2.407, absmax=11.97 +2025-10-31 17:32:55,144 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.287, max=7.977, mean=-0.1835, std=2.05, absmax=9.287 +2025-10-31 17:32:55,637 ERROR: Encountered non-finite generator loss at iter 8829; skipping update. +2025-10-31 17:32:55,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:55,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:55,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:55,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:55,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.1, mean=-0.08178, std=2.894, absmax=13.1 +2025-10-31 17:32:55,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.422, mean=-0.1049, std=2.472, absmax=10.47 +2025-10-31 17:32:56,138 ERROR: Encountered non-finite generator loss at iter 8830; skipping update. +2025-10-31 17:32:56,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,141 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:56,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:56,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.56, mean=-0.1894, std=2.638, absmax=11.56 +2025-10-31 17:32:56,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.414, max=8.893, mean=-0.1965, std=2.271, absmax=9.414 +2025-10-31 17:32:56,638 ERROR: Encountered non-finite generator loss at iter 8831; skipping update. +2025-10-31 17:32:56,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:56,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:56,645 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:56,646 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:56,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.75, mean=-0.1409, std=2.561, absmax=11.89 +2025-10-31 17:32:56,648 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=9.437, mean=-0.1528, std=2.159, absmax=10.55 +2025-10-31 17:32:57,140 ERROR: Encountered non-finite generator loss at iter 8832; skipping update. +2025-10-31 17:32:57,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,142 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:57,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:57,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.88, mean=-0.04171, std=3.282, absmax=13 +2025-10-31 17:32:57,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.63, mean=-0.03983, std=2.725, absmax=11.35 +2025-10-31 17:32:57,643 ERROR: Encountered non-finite generator loss at iter 8833; skipping update. +2025-10-31 17:32:57,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:57,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:57,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:57,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:57,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=12.46, mean=-0.1122, std=2.629, absmax=12.46 +2025-10-31 17:32:57,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.923, mean=-0.09595, std=2.272, absmax=10.56 +2025-10-31 17:32:58,146 ERROR: Encountered non-finite generator loss at iter 8834; skipping update. +2025-10-31 17:32:58,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,150 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,151 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,152 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,153 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,154 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:58,155 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:58,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.34, mean=-0.09055, std=3.021, absmax=13.34 +2025-10-31 17:32:58,157 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.509, max=9.457, mean=-0.1468, std=2.565, absmax=9.509 +2025-10-31 17:32:58,651 ERROR: Encountered non-finite generator loss at iter 8835; skipping update. +2025-10-31 17:32:58,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:58,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:58,659 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:58,660 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:58,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.08, mean=-0.2603, std=3.283, absmax=14.29 +2025-10-31 17:32:58,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.43, max=10.14, mean=-0.2317, std=2.866, absmax=13.43 +2025-10-31 17:32:59,155 ERROR: Encountered non-finite generator loss at iter 8836; skipping update. +2025-10-31 17:32:59,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,161 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:59,162 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:59,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.97, mean=-0.17, std=2.602, absmax=13.69 +2025-10-31 17:32:59,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.199, max=9.292, mean=-0.1674, std=2.173, absmax=9.292 +2025-10-31 17:32:59,658 ERROR: Encountered non-finite generator loss at iter 8837; skipping update. +2025-10-31 17:32:59,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:32:59,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:32:59,665 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:32:59,666 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:32:59,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.82, mean=-0.2539, std=3.261, absmax=14.82 +2025-10-31 17:32:59,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.66, mean=-0.2456, std=2.604, absmax=11.66 +2025-10-31 17:33:00,160 ERROR: Encountered non-finite generator loss at iter 8838; skipping update. +2025-10-31 17:33:00,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:00,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:00,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=19.26, mean=-0.2699, std=2.757, absmax=19.26 +2025-10-31 17:33:00,169 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=11.53, mean=-0.2896, std=2.243, absmax=11.53 +2025-10-31 17:33:00,662 ERROR: Encountered non-finite generator loss at iter 8839; skipping update. +2025-10-31 17:33:00,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:00,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:00,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:00,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:00,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.16, mean=-0.1139, std=3.07, absmax=14.16 +2025-10-31 17:33:00,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.86, max=11.4, mean=-0.1322, std=2.405, absmax=11.4 +2025-10-31 17:33:01,165 ERROR: Encountered non-finite generator loss at iter 8840; skipping update. +2025-10-31 17:33:01,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:01,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:01,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=14.3, mean=-0.0832, std=3.415, absmax=15.88 +2025-10-31 17:33:01,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=10.28, mean=-0.09317, std=2.912, absmax=11.92 +2025-10-31 17:33:01,668 ERROR: Encountered non-finite generator loss at iter 8841; skipping update. +2025-10-31 17:33:01,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:01,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:01,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:01,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:01,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.7, mean=-0.2937, std=2.75, absmax=12.7 +2025-10-31 17:33:01,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=8.694, mean=-0.2333, std=2.418, absmax=11.06 +2025-10-31 17:33:02,172 ERROR: Encountered non-finite generator loss at iter 8842; skipping update. +2025-10-31 17:33:02,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,178 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:02,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:02,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=12.28, mean=-0.1065, std=3.23, absmax=14.52 +2025-10-31 17:33:02,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=9.495, mean=-0.1309, std=2.944, absmax=11.38 +2025-10-31 17:33:02,674 ERROR: Encountered non-finite generator loss at iter 8843; skipping update. +2025-10-31 17:33:02,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,677 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,678 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,679 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:02,680 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:02,681 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:02,682 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:02,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.19, mean=-0.2616, std=3.179, absmax=14.19 +2025-10-31 17:33:02,684 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.05, max=11.62, mean=-0.2444, std=2.747, absmax=12.05 +2025-10-31 17:33:03,178 ERROR: Encountered non-finite generator loss at iter 8844; skipping update. +2025-10-31 17:33:03,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,180 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:03,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:03,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=10.73, mean=-0.3361, std=3.506, absmax=12.77 +2025-10-31 17:33:03,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=8.65, mean=-0.3225, std=2.903, absmax=11.92 +2025-10-31 17:33:03,680 ERROR: Encountered non-finite generator loss at iter 8845; skipping update. +2025-10-31 17:33:03,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:03,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:03,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:03,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:03,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.85, mean=-0.256, std=2.942, absmax=13.85 +2025-10-31 17:33:03,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.624, max=9.798, mean=-0.2521, std=2.548, absmax=9.798 +2025-10-31 17:33:04,184 ERROR: Encountered non-finite generator loss at iter 8846; skipping update. +2025-10-31 17:33:04,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:04,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:04,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.49, mean=-0.1632, std=2.708, absmax=11.98 +2025-10-31 17:33:04,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.522, max=7.63, mean=-0.1298, std=2.333, absmax=9.522 +2025-10-31 17:33:04,688 ERROR: Encountered non-finite generator loss at iter 8847; skipping update. +2025-10-31 17:33:04,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:04,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:04,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:04,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:04,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.31, mean=-0.08837, std=3.77, absmax=13.31 +2025-10-31 17:33:04,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=11.34, mean=-0.0575, std=3.204, absmax=11.66 +2025-10-31 17:33:05,192 ERROR: Encountered non-finite generator loss at iter 8848; skipping update. +2025-10-31 17:33:05,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,195 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:05,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:05,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=11.63, mean=-0.2547, std=2.493, absmax=11.63 +2025-10-31 17:33:05,201 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.272, max=8.932, mean=-0.2576, std=2.091, absmax=9.272 +2025-10-31 17:33:05,695 ERROR: Encountered non-finite generator loss at iter 8849; skipping update. +2025-10-31 17:33:05,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,698 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,698 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:05,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:05,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:05,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:05,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.15, mean=-0.08572, std=3.033, absmax=14.54 +2025-10-31 17:33:05,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.52, max=10.32, mean=-0.1212, std=2.589, absmax=12.52 +2025-10-31 17:33:06,198 ERROR: Encountered non-finite generator loss at iter 8850; skipping update. +2025-10-31 17:33:06,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:06,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:06,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.76, mean=-0.333, std=2.562, absmax=12.76 +2025-10-31 17:33:06,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.48, max=8.431, mean=-0.278, std=2.181, absmax=9.48 +2025-10-31 17:33:06,700 ERROR: Encountered non-finite generator loss at iter 8851; skipping update. +2025-10-31 17:33:06,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,706 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:06,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:06,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:06,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:06,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.63, mean=-0.2283, std=3.452, absmax=14.63 +2025-10-31 17:33:06,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.58, max=11.25, mean=-0.2425, std=2.799, absmax=12.58 +2025-10-31 17:33:07,203 ERROR: Encountered non-finite generator loss at iter 8852; skipping update. +2025-10-31 17:33:07,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,210 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:07,211 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:07,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14, mean=-0.01749, std=3.515, absmax=14 +2025-10-31 17:33:07,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=11.63, mean=-0.04138, std=2.844, absmax=11.63 +2025-10-31 17:33:07,705 ERROR: Encountered non-finite generator loss at iter 8853; skipping update. +2025-10-31 17:33:07,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,709 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:07,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:07,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:07,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:07,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.77, mean=-0.187, std=3.08, absmax=12.46 +2025-10-31 17:33:07,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.438, max=8.496, mean=-0.185, std=2.534, absmax=9.438 +2025-10-31 17:33:08,208 ERROR: Encountered non-finite generator loss at iter 8854; skipping update. +2025-10-31 17:33:08,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,211 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,212 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:08,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:08,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.92, mean=-0.2713, std=2.715, absmax=12.14 +2025-10-31 17:33:08,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.09, max=8.936, mean=-0.2693, std=2.366, absmax=9.09 +2025-10-31 17:33:08,713 ERROR: Encountered non-finite generator loss at iter 8855; skipping update. +2025-10-31 17:33:08,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:08,719 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:08,720 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:08,721 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:08,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.51, mean=-0.0802, std=2.627, absmax=11.72 +2025-10-31 17:33:08,723 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.597, max=9.807, mean=-0.1055, std=2.162, absmax=9.807 +2025-10-31 17:33:09,216 ERROR: Encountered non-finite generator loss at iter 8856; skipping update. +2025-10-31 17:33:09,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:09,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:09,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=17.33, mean=0.0524, std=3.491, absmax=17.33 +2025-10-31 17:33:09,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=13.03, mean=0.07397, std=3.013, absmax=13.03 +2025-10-31 17:33:09,718 ERROR: Encountered non-finite generator loss at iter 8857; skipping update. +2025-10-31 17:33:09,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:09,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:09,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:09,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:09,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=16.72, mean=-0.2133, std=2.95, absmax=16.72 +2025-10-31 17:33:09,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.626, max=11.92, mean=-0.187, std=2.363, absmax=11.92 +2025-10-31 17:33:10,221 ERROR: Encountered non-finite generator loss at iter 8858; skipping update. +2025-10-31 17:33:10,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,224 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:10,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:10,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.64, mean=-0.1974, std=2.792, absmax=13.09 +2025-10-31 17:33:10,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.151, max=9.467, mean=-0.1979, std=2.343, absmax=9.467 +2025-10-31 17:33:10,725 ERROR: Encountered non-finite generator loss at iter 8859; skipping update. +2025-10-31 17:33:10,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,728 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,729 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,730 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:10,731 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:10,732 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:10,733 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:10,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=13.88, mean=-0.1663, std=2.88, absmax=13.88 +2025-10-31 17:33:10,735 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=9.268, mean=-0.2251, std=2.362, absmax=11.58 +2025-10-31 17:33:11,229 ERROR: Encountered non-finite generator loss at iter 8860; skipping update. +2025-10-31 17:33:11,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:11,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:11,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.02, mean=-0.1848, std=2.882, absmax=11.58 +2025-10-31 17:33:11,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.45, max=9.647, mean=-0.1848, std=2.418, absmax=9.647 +2025-10-31 17:33:11,731 ERROR: Encountered non-finite generator loss at iter 8861; skipping update. +2025-10-31 17:33:11,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:11,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:11,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:11,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:11,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.76, mean=0.003995, std=3.313, absmax=13.76 +2025-10-31 17:33:11,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.85, mean=-0.03039, std=2.69, absmax=10.85 +2025-10-31 17:33:12,235 ERROR: Encountered non-finite generator loss at iter 8862; skipping update. +2025-10-31 17:33:12,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,241 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,242 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,243 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:12,244 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:12,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=16.26, mean=0.2191, std=3.46, absmax=16.26 +2025-10-31 17:33:12,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=13.37, mean=0.1649, std=2.953, absmax=13.37 +2025-10-31 17:33:12,740 ERROR: Encountered non-finite generator loss at iter 8863; skipping update. +2025-10-31 17:33:12,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,745 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:12,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:12,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:12,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:12,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.53, mean=-0.1662, std=3.433, absmax=13.53 +2025-10-31 17:33:12,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=13.14, mean=-0.1519, std=2.924, absmax=13.14 +2025-10-31 17:33:13,245 ERROR: Encountered non-finite generator loss at iter 8864; skipping update. +2025-10-31 17:33:13,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,248 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:13,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:13,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.41, mean=-0.218, std=2.64, absmax=13.41 +2025-10-31 17:33:13,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=11.09, mean=-0.2066, std=2.206, absmax=11.48 +2025-10-31 17:33:13,747 ERROR: Encountered non-finite generator loss at iter 8865; skipping update. +2025-10-31 17:33:13,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,751 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,752 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,753 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:13,754 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:13,755 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:13,756 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:13,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.18, mean=-0.3025, std=2.826, absmax=14.18 +2025-10-31 17:33:13,758 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=8.703, mean=-0.244, std=2.466, absmax=11.1 +2025-10-31 17:33:14,252 ERROR: Encountered non-finite generator loss at iter 8866; skipping update. +2025-10-31 17:33:14,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:14,260 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:14,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=13.37, mean=-0.1224, std=3.115, absmax=15.05 +2025-10-31 17:33:14,262 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=10.99, mean=-0.09922, std=2.625, absmax=10.99 +2025-10-31 17:33:14,756 ERROR: Encountered non-finite generator loss at iter 8867; skipping update. +2025-10-31 17:33:14,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:14,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:14,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:14,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:14,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=15.32, mean=-0.249, std=2.844, absmax=15.32 +2025-10-31 17:33:14,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=10.03, mean=-0.1948, std=2.555, absmax=10.03 +2025-10-31 17:33:15,261 ERROR: Encountered non-finite generator loss at iter 8868; skipping update. +2025-10-31 17:33:15,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:15,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:15,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.64, mean=-0.1738, std=3.222, absmax=13.64 +2025-10-31 17:33:15,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=11.76, mean=-0.1648, std=2.633, absmax=11.76 +2025-10-31 17:33:15,767 ERROR: Encountered non-finite generator loss at iter 8869; skipping update. +2025-10-31 17:33:15,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,770 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:15,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:15,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:15,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:15,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.5, mean=-0.0351, std=3.039, absmax=14.86 +2025-10-31 17:33:15,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.23, max=11.04, mean=-0.02407, std=2.533, absmax=13.23 +2025-10-31 17:33:16,271 ERROR: Encountered non-finite generator loss at iter 8870; skipping update. +2025-10-31 17:33:16,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:16,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:16,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.53, mean=-0.2206, std=3.009, absmax=12.57 +2025-10-31 17:33:16,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.002, max=8.792, mean=-0.2148, std=2.545, absmax=9.002 +2025-10-31 17:33:16,775 ERROR: Encountered non-finite generator loss at iter 8871; skipping update. +2025-10-31 17:33:16,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,777 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:16,779 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:16,780 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:16,781 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:16,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.975, max=9.137, mean=-0.156, std=2.32, absmax=9.975 +2025-10-31 17:33:16,783 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.281, max=7.535, mean=-0.146, std=2.093, absmax=9.281 +2025-10-31 17:33:17,276 ERROR: Encountered non-finite generator loss at iter 8872; skipping update. +2025-10-31 17:33:17,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,278 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:17,284 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:17,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.97, mean=-0.1056, std=3.585, absmax=13.97 +2025-10-31 17:33:17,285 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.77, mean=-0.1154, std=2.966, absmax=11.07 +2025-10-31 17:33:17,778 ERROR: Encountered non-finite generator loss at iter 8873; skipping update. +2025-10-31 17:33:17,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:17,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:17,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:17,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:17,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.96, mean=-0.1683, std=2.558, absmax=13.59 +2025-10-31 17:33:17,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.684, max=7.873, mean=-0.1601, std=2.138, absmax=9.684 +2025-10-31 17:33:18,279 ERROR: Encountered non-finite generator loss at iter 8874; skipping update. +2025-10-31 17:33:18,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,282 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:18,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:18,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=10.72, mean=-0.07624, std=2.764, absmax=10.95 +2025-10-31 17:33:18,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.453, max=8.234, mean=-0.03097, std=2.384, absmax=8.453 +2025-10-31 17:33:18,783 ERROR: Encountered non-finite generator loss at iter 8875; skipping update. +2025-10-31 17:33:18,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:18,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:18,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:18,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:18,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.09, mean=-0.3241, std=3.631, absmax=14.03 +2025-10-31 17:33:18,794 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=10.88, mean=-0.2858, std=2.996, absmax=12.09 +2025-10-31 17:33:19,287 ERROR: Encountered non-finite generator loss at iter 8876; skipping update. +2025-10-31 17:33:19,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,290 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,290 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:19,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:19,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=17.89, mean=0.002891, std=3.695, absmax=17.89 +2025-10-31 17:33:19,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.53, mean=-0.03443, std=3.03, absmax=11.53 +2025-10-31 17:33:19,790 ERROR: Encountered non-finite generator loss at iter 8877; skipping update. +2025-10-31 17:33:19,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:19,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:19,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:19,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:19,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.83, mean=-0.05631, std=2.959, absmax=13.33 +2025-10-31 17:33:19,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.981, mean=-0.08876, std=2.555, absmax=10.45 +2025-10-31 17:33:20,288 ERROR: Encountered non-finite generator loss at iter 8878; skipping update. +2025-10-31 17:33:20,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:20,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:20,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.74, mean=-0.1759, std=3.035, absmax=13.74 +2025-10-31 17:33:20,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=12.08, mean=-0.1792, std=2.587, absmax=12.08 +2025-10-31 17:33:20,791 ERROR: Encountered non-finite generator loss at iter 8879; skipping update. +2025-10-31 17:33:20,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,795 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:20,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:20,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:20,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:20,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=11.46, mean=-0.2837, std=2.761, absmax=14.54 +2025-10-31 17:33:20,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.22, max=8.067, mean=-0.2735, std=2.465, absmax=12.22 +2025-10-31 17:33:21,292 ERROR: Encountered non-finite generator loss at iter 8880; skipping update. +2025-10-31 17:33:21,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:21,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:21,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.14, mean=-0.01809, std=3.505, absmax=13.34 +2025-10-31 17:33:21,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.976, mean=-0.01457, std=2.935, absmax=10.37 +2025-10-31 17:33:21,795 ERROR: Encountered non-finite generator loss at iter 8881; skipping update. +2025-10-31 17:33:21,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:21,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:21,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:21,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:21,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=10.98, mean=-0.1983, std=2.705, absmax=12.15 +2025-10-31 17:33:21,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=8.68, mean=-0.1926, std=2.32, absmax=10.85 +2025-10-31 17:33:22,297 ERROR: Encountered non-finite generator loss at iter 8882; skipping update. +2025-10-31 17:33:22,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:22,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:22,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.76, mean=-0.2924, std=2.942, absmax=12.76 +2025-10-31 17:33:22,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.157, max=10.04, mean=-0.3013, std=2.459, absmax=10.04 +2025-10-31 17:33:22,798 ERROR: Encountered non-finite generator loss at iter 8883; skipping update. +2025-10-31 17:33:22,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:22,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:22,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:22,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:22,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.09, mean=0.01321, std=3.464, absmax=15.09 +2025-10-31 17:33:22,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.77, max=11.8, mean=0.003447, std=2.902, absmax=11.8 +2025-10-31 17:33:23,298 ERROR: Encountered non-finite generator loss at iter 8884; skipping update. +2025-10-31 17:33:23,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:23,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:23,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.81, mean=-0.1322, std=3.854, absmax=13.81 +2025-10-31 17:33:23,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.56, mean=-0.1073, std=3.264, absmax=11.61 +2025-10-31 17:33:23,801 ERROR: Encountered non-finite generator loss at iter 8885; skipping update. +2025-10-31 17:33:23,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,803 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,804 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:23,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:23,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:23,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:23,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.7, mean=-0.2412, std=2.65, absmax=13.7 +2025-10-31 17:33:23,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.729, max=10.37, mean=-0.2557, std=2.19, absmax=10.37 +2025-10-31 17:33:24,303 ERROR: Encountered non-finite generator loss at iter 8886; skipping update. +2025-10-31 17:33:24,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,305 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,306 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:24,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:24,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.95, mean=0.09334, std=3.439, absmax=13.95 +2025-10-31 17:33:24,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=11.89, mean=0.04342, std=2.963, absmax=11.89 +2025-10-31 17:33:24,804 ERROR: Encountered non-finite generator loss at iter 8887; skipping update. +2025-10-31 17:33:24,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:24,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:24,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:24,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:24,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.56, mean=0.0333, std=2.973, absmax=13.56 +2025-10-31 17:33:24,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.83, mean=0.002535, std=2.365, absmax=10.83 +2025-10-31 17:33:25,307 ERROR: Encountered non-finite generator loss at iter 8888; skipping update. +2025-10-31 17:33:25,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:25,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:25,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.77, mean=-0.2313, std=3.271, absmax=13.55 +2025-10-31 17:33:25,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=10.82, mean=-0.1827, std=2.553, absmax=11.05 +2025-10-31 17:33:25,811 ERROR: Encountered non-finite generator loss at iter 8889; skipping update. +2025-10-31 17:33:25,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,814 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:25,815 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:25,816 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:25,818 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:25,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.54, mean=0.01852, std=3.324, absmax=13.54 +2025-10-31 17:33:25,820 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=12.21, mean=0.0139, std=2.929, absmax=12.21 +2025-10-31 17:33:26,312 ERROR: Encountered non-finite generator loss at iter 8890; skipping update. +2025-10-31 17:33:26,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,315 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,317 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:26,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:26,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.04, mean=-0.1571, std=2.728, absmax=12.68 +2025-10-31 17:33:26,321 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=9.739, mean=-0.1635, std=2.252, absmax=9.739 +2025-10-31 17:33:26,815 ERROR: Encountered non-finite generator loss at iter 8891; skipping update. +2025-10-31 17:33:26,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:26,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:26,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:26,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:26,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.63, mean=-0.3012, std=2.919, absmax=12.96 +2025-10-31 17:33:26,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=9.133, mean=-0.2933, std=2.501, absmax=10.47 +2025-10-31 17:33:27,316 ERROR: Encountered non-finite generator loss at iter 8892; skipping update. +2025-10-31 17:33:27,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,319 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,320 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,321 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,322 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,323 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,324 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:27,325 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:27,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=14.38, mean=0.124, std=3.023, absmax=14.38 +2025-10-31 17:33:27,327 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.562, max=10.37, mean=0.06739, std=2.526, absmax=10.37 +2025-10-31 17:33:27,819 ERROR: Encountered non-finite generator loss at iter 8893; skipping update. +2025-10-31 17:33:27,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,821 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,821 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,822 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,823 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:27,824 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:27,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:27,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:27,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.3, max=11.01, mean=-0.1221, std=2.424, absmax=11.01 +2025-10-31 17:33:27,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.54, max=9.87, mean=-0.125, std=2.194, absmax=9.87 +2025-10-31 17:33:28,322 ERROR: Encountered non-finite generator loss at iter 8894; skipping update. +2025-10-31 17:33:28,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,324 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,334 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:28,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:28,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.27, mean=-0.1323, std=2.846, absmax=12.7 +2025-10-31 17:33:28,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.049, mean=-0.1416, std=2.471, absmax=10.1 +2025-10-31 17:33:28,828 ERROR: Encountered non-finite generator loss at iter 8895; skipping update. +2025-10-31 17:33:28,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:28,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:28,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:28,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:28,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=15.12, mean=-0.2019, std=3.09, absmax=15.12 +2025-10-31 17:33:28,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.07, mean=-0.2045, std=2.694, absmax=11.09 +2025-10-31 17:33:29,327 ERROR: Encountered non-finite generator loss at iter 8896; skipping update. +2025-10-31 17:33:29,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,330 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,331 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:29,334 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:29,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.09, mean=-0.1885, std=3.433, absmax=14.36 +2025-10-31 17:33:29,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=10.56, mean=-0.1469, std=2.995, absmax=10.63 +2025-10-31 17:33:29,829 ERROR: Encountered non-finite generator loss at iter 8897; skipping update. +2025-10-31 17:33:29,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:29,835 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:29,836 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:29,837 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:29,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.99, mean=0.003334, std=3.059, absmax=13.09 +2025-10-31 17:33:29,839 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.787, max=11.09, mean=0.02005, std=2.604, absmax=11.09 +2025-10-31 17:33:30,331 ERROR: Encountered non-finite generator loss at iter 8898; skipping update. +2025-10-31 17:33:30,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:30,338 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:30,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.71, mean=-0.09388, std=2.92, absmax=13.71 +2025-10-31 17:33:30,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.962, max=9.668, mean=-0.09467, std=2.536, absmax=9.962 +2025-10-31 17:33:30,831 ERROR: Encountered non-finite generator loss at iter 8899; skipping update. +2025-10-31 17:33:30,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:30,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:30,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:30,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:30,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.76, mean=-0.3085, std=3.411, absmax=13.76 +2025-10-31 17:33:30,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=10.24, mean=-0.2422, std=2.797, absmax=11.22 +2025-10-31 17:33:31,333 ERROR: Encountered non-finite generator loss at iter 8900; skipping update. +2025-10-31 17:33:31,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,336 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,337 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,338 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,339 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,340 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:31,341 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:31,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=13.09, mean=-0.2335, std=2.832, absmax=15.49 +2025-10-31 17:33:31,343 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=8.761, mean=-0.2024, std=2.258, absmax=11.57 +2025-10-31 17:33:31,344 INFO: [29..][epoch: 0, step: 8,900, lr:(1.500e-04,)] [eta: 1 day, 16:24:31, time (data): 0.503 (0.000)] +2025-10-31 17:33:31,835 ERROR: Encountered non-finite generator loss at iter 8901; skipping update. +2025-10-31 17:33:31,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:31,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:31,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:31,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:31,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.34, mean=-0.08531, std=3.111, absmax=14.34 +2025-10-31 17:33:31,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.22, mean=-0.0743, std=2.683, absmax=10.34 +2025-10-31 17:33:32,338 ERROR: Encountered non-finite generator loss at iter 8902; skipping update. +2025-10-31 17:33:32,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,340 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:32,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:32,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=16.39, mean=0.07805, std=3.357, absmax=16.39 +2025-10-31 17:33:32,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.63, max=12.2, mean=0.04924, std=2.899, absmax=12.63 +2025-10-31 17:33:32,838 ERROR: Encountered non-finite generator loss at iter 8903; skipping update. +2025-10-31 17:33:32,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,841 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,842 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,843 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:32,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:32,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:32,845 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:32,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=10.96, mean=-0.1839, std=2.913, absmax=14.39 +2025-10-31 17:33:32,847 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.053, mean=-0.1918, std=2.615, absmax=10.85 +2025-10-31 17:33:33,338 ERROR: Encountered non-finite generator loss at iter 8904; skipping update. +2025-10-31 17:33:33,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,341 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:33,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:33,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.13, max=16.12, mean=0.1863, std=3.365, absmax=17.13 +2025-10-31 17:33:33,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=12.24, mean=0.1313, std=2.76, absmax=12.24 +2025-10-31 17:33:33,839 ERROR: Encountered non-finite generator loss at iter 8905; skipping update. +2025-10-31 17:33:33,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:33,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:33,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:33,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:33,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=9.715, mean=-0.2937, std=2.621, absmax=11.96 +2025-10-31 17:33:33,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=7.706, mean=-0.2857, std=2.23, absmax=9.867 +2025-10-31 17:33:34,340 ERROR: Encountered non-finite generator loss at iter 8906; skipping update. +2025-10-31 17:33:34,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:34,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:34,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.21, mean=-0.1546, std=3.38, absmax=14.21 +2025-10-31 17:33:34,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=11.74, mean=-0.1575, std=2.831, absmax=11.74 +2025-10-31 17:33:34,841 ERROR: Encountered non-finite generator loss at iter 8907; skipping update. +2025-10-31 17:33:34,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:34,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:34,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:34,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:34,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=14.09, mean=-0.1456, std=2.689, absmax=14.09 +2025-10-31 17:33:34,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.447, max=7.468, mean=-0.2073, std=2.106, absmax=8.447 +2025-10-31 17:33:35,341 ERROR: Encountered non-finite generator loss at iter 8908; skipping update. +2025-10-31 17:33:35,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,344 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,345 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:35,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:35,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.62, mean=-0.06784, std=3.092, absmax=13.06 +2025-10-31 17:33:35,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.769, max=10.74, mean=-0.07735, std=2.515, absmax=10.74 +2025-10-31 17:33:35,842 ERROR: Encountered non-finite generator loss at iter 8909; skipping update. +2025-10-31 17:33:35,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:35,848 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:35,849 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:35,850 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:35,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.66, mean=-0.1175, std=2.824, absmax=13.02 +2025-10-31 17:33:35,852 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.853, max=9.719, mean=-0.1279, std=2.317, absmax=9.853 +2025-10-31 17:33:36,343 ERROR: Encountered non-finite generator loss at iter 8910; skipping update. +2025-10-31 17:33:36,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:36,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:36,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.51, mean=-0.0348, std=3.35, absmax=13.56 +2025-10-31 17:33:36,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.855, max=10.69, mean=-0.03365, std=2.716, absmax=10.69 +2025-10-31 17:33:36,846 ERROR: Encountered non-finite generator loss at iter 8911; skipping update. +2025-10-31 17:33:36,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:36,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:36,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:36,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:36,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.12, mean=0.04229, std=3.579, absmax=14.12 +2025-10-31 17:33:36,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.28, mean=-0.008588, std=2.915, absmax=10.28 +2025-10-31 17:33:37,347 ERROR: Encountered non-finite generator loss at iter 8912; skipping update. +2025-10-31 17:33:37,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,350 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,351 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,352 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,353 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,354 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:37,355 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:37,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.36, mean=-0.0747, std=3.112, absmax=15.36 +2025-10-31 17:33:37,357 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.538, mean=-0.07609, std=2.471, absmax=10.02 +2025-10-31 17:33:37,849 ERROR: Encountered non-finite generator loss at iter 8913; skipping update. +2025-10-31 17:33:37,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,854 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,855 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:37,856 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:37,856 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:37,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:37,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.07, mean=-0.1075, std=2.747, absmax=13.07 +2025-10-31 17:33:37,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.257, max=11.3, mean=-0.1329, std=2.32, absmax=11.3 +2025-10-31 17:33:38,351 ERROR: Encountered non-finite generator loss at iter 8914; skipping update. +2025-10-31 17:33:38,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,356 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,357 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:38,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:38,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.78, mean=-0.2488, std=2.947, absmax=12.78 +2025-10-31 17:33:38,362 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=8.469, mean=-0.2208, std=2.566, absmax=11.05 +2025-10-31 17:33:38,854 ERROR: Encountered non-finite generator loss at iter 8915; skipping update. +2025-10-31 17:33:38,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:38,859 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:38,859 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:38,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:38,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.41, mean=-0.3219, std=3.164, absmax=15.41 +2025-10-31 17:33:38,861 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=12.96, mean=-0.2785, std=2.702, absmax=12.96 +2025-10-31 17:33:39,353 ERROR: Encountered non-finite generator loss at iter 8916; skipping update. +2025-10-31 17:33:39,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,355 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,356 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,357 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:39,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:39,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=12.54, mean=-0.1939, std=2.591, absmax=12.54 +2025-10-31 17:33:39,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=7.203, mean=-0.2007, std=2.265, absmax=10.75 +2025-10-31 17:33:39,854 ERROR: Encountered non-finite generator loss at iter 8917; skipping update. +2025-10-31 17:33:39,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:39,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:39,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:39,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:39,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.99, mean=-0.2563, std=2.497, absmax=12.99 +2025-10-31 17:33:39,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=8.322, mean=-0.191, std=2.106, absmax=10.16 +2025-10-31 17:33:40,355 ERROR: Encountered non-finite generator loss at iter 8918; skipping update. +2025-10-31 17:33:40,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,360 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,361 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:40,362 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:40,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.79, mean=-0.009474, std=3.342, absmax=14.18 +2025-10-31 17:33:40,364 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.686, max=10.8, mean=-0.04216, std=2.82, absmax=10.8 +2025-10-31 17:33:40,856 ERROR: Encountered non-finite generator loss at iter 8919; skipping update. +2025-10-31 17:33:40,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:40,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:40,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:40,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:40,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=14.75, mean=-0.06407, std=2.991, absmax=14.75 +2025-10-31 17:33:40,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=10.76, mean=-0.04203, std=2.76, absmax=10.76 +2025-10-31 17:33:41,359 ERROR: Encountered non-finite generator loss at iter 8920; skipping update. +2025-10-31 17:33:41,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:41,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:41,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.14, mean=-0.2621, std=2.959, absmax=14.14 +2025-10-31 17:33:41,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=12.48, mean=-0.2761, std=2.526, absmax=12.48 +2025-10-31 17:33:41,860 ERROR: Encountered non-finite generator loss at iter 8921; skipping update. +2025-10-31 17:33:41,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,866 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:41,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:41,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:41,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:41,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.88, mean=-0.07768, std=2.93, absmax=13.88 +2025-10-31 17:33:41,871 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=10.32, mean=-0.1158, std=2.641, absmax=10.32 +2025-10-31 17:33:42,363 ERROR: Encountered non-finite generator loss at iter 8922; skipping update. +2025-10-31 17:33:42,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,367 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,368 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,369 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:42,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:42,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=13.73, mean=0.1379, std=3.532, absmax=15.33 +2025-10-31 17:33:42,373 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=13.22, mean=0.08702, std=3.022, absmax=13.22 +2025-10-31 17:33:42,866 ERROR: Encountered non-finite generator loss at iter 8923; skipping update. +2025-10-31 17:33:42,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:42,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:42,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:42,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:42,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.79, mean=-0.1041, std=3.278, absmax=13.79 +2025-10-31 17:33:42,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.644, max=9.814, mean=-0.118, std=2.619, absmax=9.814 +2025-10-31 17:33:43,368 ERROR: Encountered non-finite generator loss at iter 8924; skipping update. +2025-10-31 17:33:43,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,371 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:43,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:43,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.81, mean=-0.006533, std=3.797, absmax=13.81 +2025-10-31 17:33:43,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.81, mean=-0.008372, std=3.16, absmax=10.97 +2025-10-31 17:33:43,870 ERROR: Encountered non-finite generator loss at iter 8925; skipping update. +2025-10-31 17:33:43,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,873 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,873 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,874 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:43,875 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:43,876 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:43,877 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:43,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.65, mean=-0.08904, std=3.14, absmax=12.65 +2025-10-31 17:33:43,879 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.56, mean=-0.07921, std=2.632, absmax=10.56 +2025-10-31 17:33:44,371 ERROR: Encountered non-finite generator loss at iter 8926; skipping update. +2025-10-31 17:33:44,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,374 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,375 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,376 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,378 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,379 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:44,380 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:44,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.96, mean=-0.08133, std=3.052, absmax=13.96 +2025-10-31 17:33:44,382 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.851, max=9.855, mean=-0.1101, std=2.449, absmax=9.855 +2025-10-31 17:33:44,874 ERROR: Encountered non-finite generator loss at iter 8927; skipping update. +2025-10-31 17:33:44,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:44,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:44,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:44,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:44,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.73, mean=0.07197, std=2.939, absmax=12.73 +2025-10-31 17:33:44,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.752, max=10.72, mean=0.07421, std=2.608, absmax=10.72 +2025-10-31 17:33:45,374 ERROR: Encountered non-finite generator loss at iter 8928; skipping update. +2025-10-31 17:33:45,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,377 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,378 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,379 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:45,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:45,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.66, mean=-0.3816, std=3.376, absmax=11.66 +2025-10-31 17:33:45,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=9.391, mean=-0.3826, std=2.968, absmax=10.65 +2025-10-31 17:33:45,876 ERROR: Encountered non-finite generator loss at iter 8929; skipping update. +2025-10-31 17:33:45,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,880 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:45,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:45,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:45,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:45,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=16.13, mean=-0.1018, std=2.948, absmax=16.13 +2025-10-31 17:33:45,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.782, max=12.31, mean=-0.1344, std=2.466, absmax=12.31 +2025-10-31 17:33:46,377 ERROR: Encountered non-finite generator loss at iter 8930; skipping update. +2025-10-31 17:33:46,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,380 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,381 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:46,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:46,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.02, mean=-0.2703, std=2.969, absmax=12.99 +2025-10-31 17:33:46,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=9.837, mean=-0.2498, std=2.501, absmax=9.837 +2025-10-31 17:33:46,879 ERROR: Encountered non-finite generator loss at iter 8931; skipping update. +2025-10-31 17:33:46,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:46,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:46,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:46,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:46,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.81, mean=-0.1683, std=2.843, absmax=12.45 +2025-10-31 17:33:46,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=9.603, mean=-0.1753, std=2.477, absmax=11 +2025-10-31 17:33:47,379 ERROR: Encountered non-finite generator loss at iter 8932; skipping update. +2025-10-31 17:33:47,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:47,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:47,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=15.87, mean=-0.1563, std=3.31, absmax=15.87 +2025-10-31 17:33:47,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=11.76, mean=-0.1734, std=2.745, absmax=11.76 +2025-10-31 17:33:47,880 ERROR: Encountered non-finite generator loss at iter 8933; skipping update. +2025-10-31 17:33:47,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:47,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:47,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:47,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:47,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.74, mean=-0.2602, std=2.703, absmax=12.34 +2025-10-31 17:33:47,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=8.831, mean=-0.2972, std=2.421, absmax=11.56 +2025-10-31 17:33:48,377 ERROR: Encountered non-finite generator loss at iter 8934; skipping update. +2025-10-31 17:33:48,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:48,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:48,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.52, mean=-0.004196, std=3.221, absmax=13.05 +2025-10-31 17:33:48,387 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.81, mean=-0.01345, std=2.7, absmax=10.81 +2025-10-31 17:33:48,879 ERROR: Encountered non-finite generator loss at iter 8935; skipping update. +2025-10-31 17:33:48,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,883 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:48,884 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:48,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:48,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:48,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=15.43, mean=0.01516, std=3.523, absmax=15.43 +2025-10-31 17:33:48,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=14.47, mean=0.0001203, std=3.184, absmax=14.47 +2025-10-31 17:33:49,381 ERROR: Encountered non-finite generator loss at iter 8936; skipping update. +2025-10-31 17:33:49,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,384 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:49,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:49,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=11.65, mean=-0.2439, std=2.789, absmax=11.65 +2025-10-31 17:33:49,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=12.14, mean=-0.2885, std=2.66, absmax=12.14 +2025-10-31 17:33:49,885 ERROR: Encountered non-finite generator loss at iter 8937; skipping update. +2025-10-31 17:33:49,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,888 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,888 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:49,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:49,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:49,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:49,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.14, mean=-0.1171, std=2.777, absmax=13.84 +2025-10-31 17:33:49,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=10.37, mean=-0.1888, std=2.333, absmax=11.86 +2025-10-31 17:33:50,388 ERROR: Encountered non-finite generator loss at iter 8938; skipping update. +2025-10-31 17:33:50,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,394 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,395 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:50,396 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:50,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=9.96, mean=-0.326, std=3.054, absmax=12.31 +2025-10-31 17:33:50,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=7.965, mean=-0.2776, std=2.442, absmax=11.15 +2025-10-31 17:33:50,891 ERROR: Encountered non-finite generator loss at iter 8939; skipping update. +2025-10-31 17:33:50,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:50,896 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:50,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:50,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:50,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.25, mean=-0.2106, std=2.795, absmax=12.45 +2025-10-31 17:33:50,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=12.99, mean=-0.1971, std=2.562, absmax=12.99 +2025-10-31 17:33:51,392 ERROR: Encountered non-finite generator loss at iter 8940; skipping update. +2025-10-31 17:33:51,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,394 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:51,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:51,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=11.57, mean=0.01069, std=2.893, absmax=11.57 +2025-10-31 17:33:51,401 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.918, max=11.9, mean=-0.03175, std=2.609, absmax=11.9 +2025-10-31 17:33:51,893 ERROR: Encountered non-finite generator loss at iter 8941; skipping update. +2025-10-31 17:33:51,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,896 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,897 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,898 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:51,898 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:51,899 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:51,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:51,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.56, max=18.27, mean=-0.1249, std=3.593, absmax=18.56 +2025-10-31 17:33:51,902 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.25, max=15.03, mean=-0.1503, std=3.051, absmax=15.03 +2025-10-31 17:33:52,394 ERROR: Encountered non-finite generator loss at iter 8942; skipping update. +2025-10-31 17:33:52,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,400 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:52,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:52,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=13.43, mean=-0.1561, std=3.202, absmax=14.95 +2025-10-31 17:33:52,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.23, mean=-0.1582, std=2.742, absmax=10.91 +2025-10-31 17:33:52,896 ERROR: Encountered non-finite generator loss at iter 8943; skipping update. +2025-10-31 17:33:52,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:52,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:52,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:52,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:52,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=17.61, mean=-0.06396, std=3.868, absmax=17.61 +2025-10-31 17:33:52,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=11.88, mean=-0.06821, std=3.188, absmax=11.88 +2025-10-31 17:33:53,396 ERROR: Encountered non-finite generator loss at iter 8944; skipping update. +2025-10-31 17:33:53,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,400 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,401 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,402 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,403 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:53,404 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:53,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.38, mean=0.008402, std=3.125, absmax=12.48 +2025-10-31 17:33:53,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=10.05, mean=0.0002593, std=2.663, absmax=11.08 +2025-10-31 17:33:53,898 ERROR: Encountered non-finite generator loss at iter 8945; skipping update. +2025-10-31 17:33:53,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:53,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:53,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:53,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:53,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.99, mean=-0.3202, std=2.943, absmax=13.44 +2025-10-31 17:33:53,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.857, mean=-0.2828, std=2.532, absmax=11.59 +2025-10-31 17:33:54,397 ERROR: Encountered non-finite generator loss at iter 8946; skipping update. +2025-10-31 17:33:54,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,400 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,400 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,402 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:54,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:54,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=15.85, mean=-0.2013, std=2.933, absmax=15.85 +2025-10-31 17:33:54,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=13.61, mean=-0.1972, std=2.349, absmax=13.61 +2025-10-31 17:33:54,900 ERROR: Encountered non-finite generator loss at iter 8947; skipping update. +2025-10-31 17:33:54,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,904 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,905 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:54,906 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:54,907 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:54,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:54,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.6, mean=-0.2422, std=2.992, absmax=12.6 +2025-10-31 17:33:54,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10, mean=-0.2252, std=2.561, absmax=10.15 +2025-10-31 17:33:55,402 ERROR: Encountered non-finite generator loss at iter 8948; skipping update. +2025-10-31 17:33:55,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,405 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:55,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:55,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=12.91, mean=-0.2431, std=2.72, absmax=15.13 +2025-10-31 17:33:55,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=8.824, mean=-0.2633, std=2.446, absmax=13.15 +2025-10-31 17:33:55,904 ERROR: Encountered non-finite generator loss at iter 8949; skipping update. +2025-10-31 17:33:55,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:55,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:55,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:55,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:55,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.63, mean=-0.08022, std=2.912, absmax=12.66 +2025-10-31 17:33:55,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.366, max=9.857, mean=-0.03882, std=2.484, absmax=9.857 +2025-10-31 17:33:56,406 ERROR: Encountered non-finite generator loss at iter 8950; skipping update. +2025-10-31 17:33:56,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,408 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:56,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:56,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.08, mean=-0.1421, std=2.635, absmax=12.19 +2025-10-31 17:33:56,415 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.161, max=8.366, mean=-0.111, std=2.168, absmax=9.161 +2025-10-31 17:33:56,909 ERROR: Encountered non-finite generator loss at iter 8951; skipping update. +2025-10-31 17:33:56,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,911 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,912 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:56,916 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:56,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:56,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:56,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.31, mean=-0.07223, std=2.443, absmax=14.31 +2025-10-31 17:33:56,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=12.16, mean=-0.1219, std=2.127, absmax=12.16 +2025-10-31 17:33:57,409 ERROR: Encountered non-finite generator loss at iter 8952; skipping update. +2025-10-31 17:33:57,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,413 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,416 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:57,417 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:57,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.34, mean=-0.3293, std=2.817, absmax=12.54 +2025-10-31 17:33:57,419 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.899, max=7.779, mean=-0.3155, std=2.369, absmax=9.899 +2025-10-31 17:33:57,911 ERROR: Encountered non-finite generator loss at iter 8953; skipping update. +2025-10-31 17:33:57,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,913 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,914 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:57,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:57,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:57,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:57,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=11.58, mean=-0.2077, std=2.967, absmax=14.97 +2025-10-31 17:33:57,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.12, mean=-0.2452, std=2.567, absmax=10.31 +2025-10-31 17:33:58,412 ERROR: Encountered non-finite generator loss at iter 8954; skipping update. +2025-10-31 17:33:58,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,416 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,417 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,418 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:58,419 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:58,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.28, mean=-0.2513, std=3.301, absmax=12.56 +2025-10-31 17:33:58,421 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=11.11, mean=-0.2801, std=2.766, absmax=11.49 +2025-10-31 17:33:58,913 ERROR: Encountered non-finite generator loss at iter 8955; skipping update. +2025-10-31 17:33:58,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,916 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:58,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:58,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:58,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:58,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.16, mean=0.0899, std=3.859, absmax=15.16 +2025-10-31 17:33:58,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=14.82, mean=0.08141, std=3.344, absmax=14.82 +2025-10-31 17:33:59,415 ERROR: Encountered non-finite generator loss at iter 8956; skipping update. +2025-10-31 17:33:59,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,417 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,417 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:59,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:59,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=16.02, mean=-0.2884, std=3.18, absmax=16.02 +2025-10-31 17:33:59,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=10.01, mean=-0.2622, std=2.686, absmax=11.52 +2025-10-31 17:33:59,915 ERROR: Encountered non-finite generator loss at iter 8957; skipping update. +2025-10-31 17:33:59,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:33:59,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:33:59,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:33:59,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:33:59,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.32, mean=0.06049, std=2.972, absmax=13.32 +2025-10-31 17:33:59,925 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.741, mean=0.03788, std=2.539, absmax=10.2 +2025-10-31 17:34:00,417 ERROR: Encountered non-finite generator loss at iter 8958; skipping update. +2025-10-31 17:34:00,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:00,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:00,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.91, mean=-0.03187, std=3.224, absmax=13.15 +2025-10-31 17:34:00,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.527, max=11.16, mean=-0.0274, std=2.804, absmax=11.16 +2025-10-31 17:34:00,917 ERROR: Encountered non-finite generator loss at iter 8959; skipping update. +2025-10-31 17:34:00,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,920 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,921 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,922 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,923 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:00,924 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:00,925 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:00,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:00,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=10.99, mean=-0.1106, std=2.823, absmax=12.02 +2025-10-31 17:34:00,927 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.87, max=9.887, mean=-0.0759, std=2.411, absmax=9.887 +2025-10-31 17:34:01,419 ERROR: Encountered non-finite generator loss at iter 8960; skipping update. +2025-10-31 17:34:01,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,421 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,422 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:01,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:01,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.85, mean=-0.1292, std=2.523, absmax=12.85 +2025-10-31 17:34:01,427 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11.32, mean=-0.1293, std=2.256, absmax=11.32 +2025-10-31 17:34:01,919 ERROR: Encountered non-finite generator loss at iter 8961; skipping update. +2025-10-31 17:34:01,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:01,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:01,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:01,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:01,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=14.05, mean=-0.104, std=2.809, absmax=14.05 +2025-10-31 17:34:01,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.914, max=10.18, mean=-0.1195, std=2.271, absmax=10.18 +2025-10-31 17:34:02,421 ERROR: Encountered non-finite generator loss at iter 8962; skipping update. +2025-10-31 17:34:02,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,423 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,423 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,425 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:02,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:02,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=15.09, mean=-0.07384, std=2.886, absmax=15.09 +2025-10-31 17:34:02,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.44, max=9.247, mean=-0.1047, std=2.409, absmax=12.44 +2025-10-31 17:34:02,922 ERROR: Encountered non-finite generator loss at iter 8963; skipping update. +2025-10-31 17:34:02,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,926 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,927 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:02,928 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:02,929 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:02,930 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:02,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.6, mean=-0.2318, std=2.765, absmax=13.6 +2025-10-31 17:34:02,932 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=9.267, mean=-0.1752, std=2.365, absmax=10.16 +2025-10-31 17:34:03,424 ERROR: Encountered non-finite generator loss at iter 8964; skipping update. +2025-10-31 17:34:03,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:03,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:03,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=10.25, mean=-0.2825, std=2.863, absmax=12.94 +2025-10-31 17:34:03,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=8.417, mean=-0.3093, std=2.446, absmax=11.28 +2025-10-31 17:34:03,926 ERROR: Encountered non-finite generator loss at iter 8965; skipping update. +2025-10-31 17:34:03,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:03,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:03,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:03,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:03,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=17.74, mean=-0.001805, std=2.94, absmax=17.74 +2025-10-31 17:34:03,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.17, max=9.44, mean=-0.02819, std=2.464, absmax=9.44 +2025-10-31 17:34:04,428 ERROR: Encountered non-finite generator loss at iter 8966; skipping update. +2025-10-31 17:34:04,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,432 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,433 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,434 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,435 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:04,436 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:04,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=12.75, mean=-0.2012, std=3.026, absmax=14.99 +2025-10-31 17:34:04,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.549, mean=-0.2004, std=2.351, absmax=10.54 +2025-10-31 17:34:04,930 ERROR: Encountered non-finite generator loss at iter 8967; skipping update. +2025-10-31 17:34:04,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:04,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:04,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:04,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:04,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.37, mean=-0.07689, std=2.655, absmax=13.76 +2025-10-31 17:34:04,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.842, mean=-0.0441, std=2.289, absmax=10.25 +2025-10-31 17:34:05,441 ERROR: Encountered non-finite generator loss at iter 8968; skipping update. +2025-10-31 17:34:05,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,444 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,445 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,446 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,447 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:05,448 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:05,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.28, mean=0.06275, std=3.02, absmax=13.28 +2025-10-31 17:34:05,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.75, max=12.56, mean=0.05421, std=2.747, absmax=12.56 +2025-10-31 17:34:05,940 ERROR: Encountered non-finite generator loss at iter 8969; skipping update. +2025-10-31 17:34:05,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,943 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,944 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:05,945 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:05,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:05,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:05,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=13.01, mean=-0.1522, std=2.784, absmax=13.01 +2025-10-31 17:34:05,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.818, max=10.42, mean=-0.1389, std=2.291, absmax=10.42 +2025-10-31 17:34:06,439 ERROR: Encountered non-finite generator loss at iter 8970; skipping update. +2025-10-31 17:34:06,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:06,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:06,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=18.27, mean=-0.1355, std=3.25, absmax=18.27 +2025-10-31 17:34:06,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=10.96, mean=-0.1294, std=2.617, absmax=10.96 +2025-10-31 17:34:06,940 ERROR: Encountered non-finite generator loss at iter 8971; skipping update. +2025-10-31 17:34:06,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:06,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:06,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:06,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:06,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.08, mean=-0.1638, std=2.596, absmax=12.08 +2025-10-31 17:34:06,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.014, max=8.724, mean=-0.1314, std=2.225, absmax=9.014 +2025-10-31 17:34:07,440 ERROR: Encountered non-finite generator loss at iter 8972; skipping update. +2025-10-31 17:34:07,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,446 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,447 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,448 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:07,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:07,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=15.69, mean=0.06896, std=3.419, absmax=15.69 +2025-10-31 17:34:07,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=14.25, mean=0.05021, std=3.003, absmax=14.25 +2025-10-31 17:34:07,943 ERROR: Encountered non-finite generator loss at iter 8973; skipping update. +2025-10-31 17:34:07,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,945 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:07,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:07,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:07,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:07,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.35, mean=-0.2442, std=2.808, absmax=11.55 +2025-10-31 17:34:07,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.835, max=10.38, mean=-0.2705, std=2.501, absmax=10.38 +2025-10-31 17:34:08,445 ERROR: Encountered non-finite generator loss at iter 8974; skipping update. +2025-10-31 17:34:08,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,447 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:08,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:08,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.57, mean=-0.01572, std=2.986, absmax=15.57 +2025-10-31 17:34:08,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.865, max=9.044, mean=-0.0675, std=2.412, absmax=9.865 +2025-10-31 17:34:08,946 ERROR: Encountered non-finite generator loss at iter 8975; skipping update. +2025-10-31 17:34:08,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:08,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:08,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:08,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:08,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.57, max=15.19, mean=-0.1526, std=3.084, absmax=16.57 +2025-10-31 17:34:08,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=11.52, mean=-0.1333, std=2.55, absmax=12.82 +2025-10-31 17:34:09,447 ERROR: Encountered non-finite generator loss at iter 8976; skipping update. +2025-10-31 17:34:09,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,450 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,450 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,451 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,452 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,453 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,454 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:09,455 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:09,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.7, mean=-0.1986, std=3.324, absmax=13.84 +2025-10-31 17:34:09,457 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=9.259, mean=-0.1673, std=2.7, absmax=10.41 +2025-10-31 17:34:09,951 ERROR: Encountered non-finite generator loss at iter 8977; skipping update. +2025-10-31 17:34:09,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,953 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:09,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:09,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:09,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:09,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.18, max=12.61, mean=-0.2434, std=2.885, absmax=16.18 +2025-10-31 17:34:09,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.961, max=8.633, mean=-0.262, std=2.362, absmax=9.961 +2025-10-31 17:34:10,452 ERROR: Encountered non-finite generator loss at iter 8978; skipping update. +2025-10-31 17:34:10,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:10,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:10,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=16.69, mean=-0.1456, std=2.95, absmax=16.69 +2025-10-31 17:34:10,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.69, max=13.8, mean=-0.1902, std=2.483, absmax=13.8 +2025-10-31 17:34:10,954 ERROR: Encountered non-finite generator loss at iter 8979; skipping update. +2025-10-31 17:34:10,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:10,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:10,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:10,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:10,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.47, mean=-0.1388, std=3.23, absmax=14.8 +2025-10-31 17:34:10,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.6, max=9.067, mean=-0.1668, std=2.548, absmax=12.6 +2025-10-31 17:34:11,457 ERROR: Encountered non-finite generator loss at iter 8980; skipping update. +2025-10-31 17:34:11,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,459 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,463 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:11,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:11,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=13.66, mean=-0.2652, std=2.712, absmax=13.66 +2025-10-31 17:34:11,466 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.733, max=9.33, mean=-0.2547, std=2.29, absmax=9.33 +2025-10-31 17:34:11,958 ERROR: Encountered non-finite generator loss at iter 8981; skipping update. +2025-10-31 17:34:11,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:11,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:11,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:11,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:11,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.12, mean=-0.07738, std=2.99, absmax=14.12 +2025-10-31 17:34:11,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.623, max=10.51, mean=-0.06898, std=2.513, absmax=10.51 +2025-10-31 17:34:12,461 ERROR: Encountered non-finite generator loss at iter 8982; skipping update. +2025-10-31 17:34:12,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,468 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:12,469 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:12,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.84, mean=-0.2571, std=2.837, absmax=13.84 +2025-10-31 17:34:12,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.288, mean=-0.2349, std=2.385, absmax=10.07 +2025-10-31 17:34:12,962 ERROR: Encountered non-finite generator loss at iter 8983; skipping update. +2025-10-31 17:34:12,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:12,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:12,969 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:12,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:12,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.17, mean=-0.1427, std=2.979, absmax=13.52 +2025-10-31 17:34:12,972 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.374, mean=-0.1995, std=2.458, absmax=11.34 +2025-10-31 17:34:13,464 ERROR: Encountered non-finite generator loss at iter 8984; skipping update. +2025-10-31 17:34:13,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,466 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,468 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,469 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:13,472 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:13,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=16.79, mean=-0.08862, std=3.132, absmax=16.79 +2025-10-31 17:34:13,475 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.462, max=11.84, mean=-0.121, std=2.586, absmax=11.84 +2025-10-31 17:34:13,967 ERROR: Encountered non-finite generator loss at iter 8985; skipping update. +2025-10-31 17:34:13,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,970 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:13,971 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:13,972 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:13,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:13,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.49, mean=-0.2486, std=3.037, absmax=14.49 +2025-10-31 17:34:13,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.19, max=10.98, mean=-0.2371, std=2.556, absmax=13.19 +2025-10-31 17:34:14,468 ERROR: Encountered non-finite generator loss at iter 8986; skipping update. +2025-10-31 17:34:14,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:14,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:14,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=10.06, mean=-0.1896, std=2.439, absmax=10.84 +2025-10-31 17:34:14,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.899, max=9.257, mean=-0.1476, std=2.149, absmax=9.257 +2025-10-31 17:34:14,970 ERROR: Encountered non-finite generator loss at iter 8987; skipping update. +2025-10-31 17:34:14,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:14,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:14,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:14,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:14,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=15.12, mean=0.04786, std=3.998, absmax=15.12 +2025-10-31 17:34:14,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=14.85, mean=0.03044, std=3.481, absmax=14.85 +2025-10-31 17:34:15,472 ERROR: Encountered non-finite generator loss at iter 8988; skipping update. +2025-10-31 17:34:15,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,475 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,476 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:15,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:15,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.93, mean=-0.2188, std=3.1, absmax=14.06 +2025-10-31 17:34:15,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=9.378, mean=-0.1988, std=2.589, absmax=11.23 +2025-10-31 17:34:15,974 ERROR: Encountered non-finite generator loss at iter 8989; skipping update. +2025-10-31 17:34:15,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:15,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:15,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:15,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:15,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.68, mean=-0.121, std=2.988, absmax=13.68 +2025-10-31 17:34:15,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=9.601, mean=-0.1647, std=2.504, absmax=10.17 +2025-10-31 17:34:16,476 ERROR: Encountered non-finite generator loss at iter 8990; skipping update. +2025-10-31 17:34:16,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,478 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,478 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:16,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:16,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.94, mean=-0.2093, std=2.806, absmax=11.94 +2025-10-31 17:34:16,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.996, max=8.264, mean=-0.2485, std=2.279, absmax=8.996 +2025-10-31 17:34:16,977 ERROR: Encountered non-finite generator loss at iter 8991; skipping update. +2025-10-31 17:34:16,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:16,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:16,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:16,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:16,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.5, mean=-0.1941, std=2.734, absmax=13.5 +2025-10-31 17:34:16,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.464, max=9.943, mean=-0.1332, std=2.413, absmax=9.943 +2025-10-31 17:34:17,479 ERROR: Encountered non-finite generator loss at iter 8992; skipping update. +2025-10-31 17:34:17,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,481 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,483 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:17,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:17,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=12.86, mean=-0.279, std=2.777, absmax=14.52 +2025-10-31 17:34:17,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=8.934, mean=-0.2904, std=2.295, absmax=11.58 +2025-10-31 17:34:17,980 ERROR: Encountered non-finite generator loss at iter 8993; skipping update. +2025-10-31 17:34:17,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:17,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:17,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:17,987 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:17,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.15, mean=-0.3583, std=2.947, absmax=13.26 +2025-10-31 17:34:17,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=9.38, mean=-0.3351, std=2.544, absmax=11.87 +2025-10-31 17:34:18,481 ERROR: Encountered non-finite generator loss at iter 8994; skipping update. +2025-10-31 17:34:18,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:18,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:18,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.01, mean=-0.2062, std=2.653, absmax=12.01 +2025-10-31 17:34:18,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.66, max=7.954, mean=-0.219, std=2.188, absmax=9.66 +2025-10-31 17:34:18,980 ERROR: Encountered non-finite generator loss at iter 8995; skipping update. +2025-10-31 17:34:18,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:18,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:18,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:18,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:18,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.33, mean=-0.137, std=3.195, absmax=13.33 +2025-10-31 17:34:18,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=9.123, mean=-0.09351, std=2.818, absmax=10.15 +2025-10-31 17:34:19,482 ERROR: Encountered non-finite generator loss at iter 8996; skipping update. +2025-10-31 17:34:19,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:19,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:19,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.61, mean=0.02798, std=3.201, absmax=14.86 +2025-10-31 17:34:19,492 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=11.15, mean=-0.01496, std=2.649, absmax=11.66 +2025-10-31 17:34:19,983 ERROR: Encountered non-finite generator loss at iter 8997; skipping update. +2025-10-31 17:34:19,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:19,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:19,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:19,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:19,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.92, mean=-0.1535, std=2.913, absmax=12.59 +2025-10-31 17:34:19,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=8.135, mean=-0.1462, std=2.471, absmax=11.05 +2025-10-31 17:34:20,484 ERROR: Encountered non-finite generator loss at iter 8998; skipping update. +2025-10-31 17:34:20,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,487 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,490 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,490 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,491 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:20,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:20,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.97, mean=-0.1685, std=3.348, absmax=13.45 +2025-10-31 17:34:20,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=11.48, mean=-0.1255, std=2.874, absmax=11.48 +2025-10-31 17:34:20,986 ERROR: Encountered non-finite generator loss at iter 8999; skipping update. +2025-10-31 17:34:20,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,989 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,990 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,991 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:20,992 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:20,993 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:20,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:20,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.28, max=13.73, mean=-0.1973, std=3.197, absmax=16.28 +2025-10-31 17:34:20,996 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.52, max=10.53, mean=-0.1838, std=2.643, absmax=12.52 +2025-10-31 17:34:21,487 ERROR: Encountered non-finite generator loss at iter 9000; skipping update. +2025-10-31 17:34:21,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:21,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:21,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.02, mean=-0.1662, std=2.623, absmax=12.02 +2025-10-31 17:34:21,496 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.259, max=7.903, mean=-0.1627, std=2.231, absmax=9.259 +2025-10-31 17:34:21,497 INFO: [29..][epoch: 0, step: 9,000, lr:(1.500e-04,)] [eta: 1 day, 16:18:58, time (data): 0.502 (0.000)] +2025-10-31 17:34:21,989 ERROR: Encountered non-finite generator loss at iter 9001; skipping update. +2025-10-31 17:34:21,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:21,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:21,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:21,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:21,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.24, mean=-0.02642, std=2.68, absmax=12.37 +2025-10-31 17:34:21,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.937, max=10.52, mean=-0.08649, std=2.284, absmax=10.52 +2025-10-31 17:34:22,491 ERROR: Encountered non-finite generator loss at iter 9002; skipping update. +2025-10-31 17:34:22,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:22,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:22,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.64, mean=-0.2126, std=2.638, absmax=12.64 +2025-10-31 17:34:22,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.274, max=8.578, mean=-0.1862, std=2.304, absmax=9.274 +2025-10-31 17:34:22,991 ERROR: Encountered non-finite generator loss at iter 9003; skipping update. +2025-10-31 17:34:22,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:22,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:22,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:22,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:23,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=19.96, mean=0.0228, std=3.798, absmax=19.96 +2025-10-31 17:34:23,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=13.92, mean=-0.05516, std=3.247, absmax=13.92 +2025-10-31 17:34:23,493 ERROR: Encountered non-finite generator loss at iter 9004; skipping update. +2025-10-31 17:34:23,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:23,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:23,497 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:23,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:23,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:23,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:23,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:23,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:23,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.04, mean=-0.1783, std=2.775, absmax=13 +2025-10-31 17:34:23,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.602, mean=-0.1514, std=2.434, absmax=10.7 +2025-10-31 17:34:23,996 ERROR: Encountered non-finite generator loss at iter 9005; skipping update. +2025-10-31 17:34:23,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:23,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:24,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:24,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:24,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:24,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.33, mean=-0.3124, std=2.897, absmax=12.55 +2025-10-31 17:34:24,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.058, max=10.53, mean=-0.2338, std=2.464, absmax=10.53 +2025-10-31 17:34:24,498 ERROR: Encountered non-finite generator loss at iter 9006; skipping update. +2025-10-31 17:34:24,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:24,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:24,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:24,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:24,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:24,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:24,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=16.76, mean=-0.1172, std=3.137, absmax=16.76 +2025-10-31 17:34:24,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=12.26, mean=-0.1399, std=2.712, absmax=12.26 +2025-10-31 17:34:25,000 ERROR: Encountered non-finite generator loss at iter 9007; skipping update. +2025-10-31 17:34:25,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:25,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:25,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.58, mean=-0.1511, std=2.671, absmax=12.1 +2025-10-31 17:34:25,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.725, max=9.379, mean=-0.1825, std=2.333, absmax=9.725 +2025-10-31 17:34:25,505 ERROR: Encountered non-finite generator loss at iter 9008; skipping update. +2025-10-31 17:34:25,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,510 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:25,511 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:25,512 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:25,513 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:25,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=13.1, mean=-0.06817, std=3.414, absmax=14.18 +2025-10-31 17:34:25,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=10.41, mean=-0.09761, std=2.968, absmax=12.33 +2025-10-31 17:34:26,009 ERROR: Encountered non-finite generator loss at iter 9009; skipping update. +2025-10-31 17:34:26,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,011 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:26,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:26,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.57, max=11.53, mean=-0.1087, std=3.107, absmax=15.57 +2025-10-31 17:34:26,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=9.614, mean=-0.1141, std=2.695, absmax=11.58 +2025-10-31 17:34:26,510 ERROR: Encountered non-finite generator loss at iter 9010; skipping update. +2025-10-31 17:34:26,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,519 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:26,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:26,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:26,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:26,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.78, mean=-0.1722, std=2.429, absmax=12.78 +2025-10-31 17:34:26,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.462, max=9.107, mean=-0.1674, std=2.083, absmax=9.107 +2025-10-31 17:34:27,018 ERROR: Encountered non-finite generator loss at iter 9011; skipping update. +2025-10-31 17:34:27,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:27,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:27,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.01, mean=-0.2101, std=3.017, absmax=13.01 +2025-10-31 17:34:27,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=12.2, mean=-0.2069, std=2.722, absmax=12.2 +2025-10-31 17:34:27,522 ERROR: Encountered non-finite generator loss at iter 9012; skipping update. +2025-10-31 17:34:27,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,526 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,527 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:27,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:27,530 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:27,531 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:27,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=11.6, mean=-0.3694, std=3.568, absmax=14.57 +2025-10-31 17:34:27,533 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.4, max=10.16, mean=-0.3527, std=3.037, absmax=12.4 +2025-10-31 17:34:28,027 ERROR: Encountered non-finite generator loss at iter 9013; skipping update. +2025-10-31 17:34:28,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,029 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,029 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:28,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:28,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=9.712, mean=-0.279, std=2.91, absmax=13.41 +2025-10-31 17:34:28,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.588, mean=-0.2155, std=2.48, absmax=10.14 +2025-10-31 17:34:28,528 ERROR: Encountered non-finite generator loss at iter 9014; skipping update. +2025-10-31 17:34:28,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:28,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:28,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:28,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:28,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.58, mean=-0.09596, std=2.338, absmax=12.08 +2025-10-31 17:34:28,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.243, max=9.484, mean=-0.1127, std=2.032, absmax=9.484 +2025-10-31 17:34:29,032 ERROR: Encountered non-finite generator loss at iter 9015; skipping update. +2025-10-31 17:34:29,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,034 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,035 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,036 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,037 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,038 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:29,039 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:29,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.87, mean=0.01208, std=3.237, absmax=14.87 +2025-10-31 17:34:29,041 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=11.11, mean=0.004319, std=2.665, absmax=11.11 +2025-10-31 17:34:29,535 ERROR: Encountered non-finite generator loss at iter 9016; skipping update. +2025-10-31 17:34:29,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,537 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:29,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:29,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:29,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:29,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.81, mean=-0.2394, std=3.184, absmax=13.96 +2025-10-31 17:34:29,544 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=8.881, mean=-0.2413, std=2.578, absmax=10.54 +2025-10-31 17:34:30,036 ERROR: Encountered non-finite generator loss at iter 9017; skipping update. +2025-10-31 17:34:30,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,040 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:30,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:30,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=17.47, mean=-0.1039, std=3.645, absmax=17.47 +2025-10-31 17:34:30,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.19, mean=-0.1018, std=3.047, absmax=11.19 +2025-10-31 17:34:30,539 ERROR: Encountered non-finite generator loss at iter 9018; skipping update. +2025-10-31 17:34:30,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:30,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:30,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:30,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:30,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.53, mean=-0.2585, std=2.312, absmax=12.87 +2025-10-31 17:34:30,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.381, mean=-0.2164, std=2.079, absmax=11.34 +2025-10-31 17:34:31,042 ERROR: Encountered non-finite generator loss at iter 9019; skipping update. +2025-10-31 17:34:31,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:31,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:31,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.72, max=13.97, mean=-0.147, std=3.262, absmax=16.72 +2025-10-31 17:34:31,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.14, max=10.83, mean=-0.1622, std=2.762, absmax=13.14 +2025-10-31 17:34:31,546 ERROR: Encountered non-finite generator loss at iter 9020; skipping update. +2025-10-31 17:34:31,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:31,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:31,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:31,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:31,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=10.62, mean=-0.1173, std=2.605, absmax=12.29 +2025-10-31 17:34:31,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.172, max=8.617, mean=-0.1047, std=2.238, absmax=8.617 +2025-10-31 17:34:32,049 ERROR: Encountered non-finite generator loss at iter 9021; skipping update. +2025-10-31 17:34:32,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:32,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:32,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.55, mean=-0.09966, std=3.255, absmax=13.15 +2025-10-31 17:34:32,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=8.477, mean=-0.1446, std=2.656, absmax=11.53 +2025-10-31 17:34:32,554 ERROR: Encountered non-finite generator loss at iter 9022; skipping update. +2025-10-31 17:34:32,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:32,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:32,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:32,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:32,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.6, mean=-0.3138, std=3.013, absmax=12.6 +2025-10-31 17:34:32,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.571, mean=-0.2921, std=2.467, absmax=10.6 +2025-10-31 17:34:33,056 ERROR: Encountered non-finite generator loss at iter 9023; skipping update. +2025-10-31 17:34:33,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:33,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:33,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.51, mean=-0.2458, std=3.007, absmax=13.51 +2025-10-31 17:34:33,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.262, max=10.15, mean=-0.2507, std=2.417, absmax=10.15 +2025-10-31 17:34:33,561 ERROR: Encountered non-finite generator loss at iter 9024; skipping update. +2025-10-31 17:34:33,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,566 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:33,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:33,569 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:33,570 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:33,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.71, mean=-0.287, std=3.381, absmax=13.71 +2025-10-31 17:34:33,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=10.07, mean=-0.2843, std=2.715, absmax=11.51 +2025-10-31 17:34:34,066 ERROR: Encountered non-finite generator loss at iter 9025; skipping update. +2025-10-31 17:34:34,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:34,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:34,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.02, mean=-0.2023, std=2.645, absmax=13.02 +2025-10-31 17:34:34,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.008, max=9.573, mean=-0.1831, std=2.249, absmax=9.573 +2025-10-31 17:34:34,571 ERROR: Encountered non-finite generator loss at iter 9026; skipping update. +2025-10-31 17:34:34,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,574 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:34,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:34,578 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:34,579 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:34,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=11.32, mean=-0.2445, std=2.683, absmax=15.21 +2025-10-31 17:34:34,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=10.24, mean=-0.2585, std=2.148, absmax=12.2 +2025-10-31 17:34:35,075 ERROR: Encountered non-finite generator loss at iter 9027; skipping update. +2025-10-31 17:34:35,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:35,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:35,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.46, mean=-0.0767, std=3.194, absmax=12.46 +2025-10-31 17:34:35,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.433, max=10.77, mean=-0.07496, std=2.69, absmax=10.77 +2025-10-31 17:34:35,578 ERROR: Encountered non-finite generator loss at iter 9028; skipping update. +2025-10-31 17:34:35,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:35,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:35,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:35,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:35,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.07, mean=-0.1668, std=3.244, absmax=13.14 +2025-10-31 17:34:35,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=8.666, mean=-0.1854, std=2.895, absmax=11.62 +2025-10-31 17:34:36,079 ERROR: Encountered non-finite generator loss at iter 9029; skipping update. +2025-10-31 17:34:36,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:36,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:36,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=17.41, mean=-0.107, std=3.104, absmax=17.41 +2025-10-31 17:34:36,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.35, mean=-0.06187, std=2.567, absmax=10.45 +2025-10-31 17:34:36,580 ERROR: Encountered non-finite generator loss at iter 9030; skipping update. +2025-10-31 17:34:36,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,582 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:36,585 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:36,586 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:36,587 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:36,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.44, mean=-0.2189, std=3.019, absmax=12.44 +2025-10-31 17:34:36,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.935, max=8.114, mean=-0.2148, std=2.402, absmax=8.935 +2025-10-31 17:34:37,081 ERROR: Encountered non-finite generator loss at iter 9031; skipping update. +2025-10-31 17:34:37,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,083 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:37,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:37,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.04, mean=-0.2563, std=3.089, absmax=14.01 +2025-10-31 17:34:37,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=9.308, mean=-0.2499, std=2.464, absmax=10.91 +2025-10-31 17:34:37,585 ERROR: Encountered non-finite generator loss at iter 9032; skipping update. +2025-10-31 17:34:37,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,591 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:37,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:37,593 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:37,594 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:37,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.18, mean=-0.08587, std=2.849, absmax=12.27 +2025-10-31 17:34:37,596 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.787, max=11.42, mean=-0.1097, std=2.437, absmax=11.42 +2025-10-31 17:34:38,090 ERROR: Encountered non-finite generator loss at iter 9033; skipping update. +2025-10-31 17:34:38,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,092 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,097 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,098 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:38,099 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:38,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=10.56, mean=-0.2044, std=2.244, absmax=10.56 +2025-10-31 17:34:38,101 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.927, max=8.268, mean=-0.1805, std=1.889, absmax=8.268 +2025-10-31 17:34:38,594 ERROR: Encountered non-finite generator loss at iter 9034; skipping update. +2025-10-31 17:34:38,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,597 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,598 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:38,599 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:38,600 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:38,601 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:38,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=11.46, mean=-0.2426, std=2.7, absmax=11.46 +2025-10-31 17:34:38,603 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.496, max=7.352, mean=-0.1894, std=2.213, absmax=9.496 +2025-10-31 17:34:39,097 ERROR: Encountered non-finite generator loss at iter 9035; skipping update. +2025-10-31 17:34:39,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:39,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:39,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=13.55, mean=-0.007639, std=2.919, absmax=13.55 +2025-10-31 17:34:39,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.262, max=11.62, mean=-0.03217, std=2.532, absmax=11.62 +2025-10-31 17:34:39,601 ERROR: Encountered non-finite generator loss at iter 9036; skipping update. +2025-10-31 17:34:39,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,607 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:39,608 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:39,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:39,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:39,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=14.45, mean=0.1746, std=3.545, absmax=14.45 +2025-10-31 17:34:39,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=12.39, mean=0.1313, std=3.136, absmax=12.39 +2025-10-31 17:34:40,105 ERROR: Encountered non-finite generator loss at iter 9037; skipping update. +2025-10-31 17:34:40,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:40,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:40,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.54, mean=-0.2999, std=2.722, absmax=12.54 +2025-10-31 17:34:40,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=8.629, mean=-0.2987, std=2.4, absmax=10.41 +2025-10-31 17:34:40,609 ERROR: Encountered non-finite generator loss at iter 9038; skipping update. +2025-10-31 17:34:40,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,613 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:40,615 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:40,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:40,617 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:40,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.9, mean=-0.2424, std=2.799, absmax=12.9 +2025-10-31 17:34:40,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.609, max=9.222, mean=-0.1971, std=2.239, absmax=9.609 +2025-10-31 17:34:41,115 ERROR: Encountered non-finite generator loss at iter 9039; skipping update. +2025-10-31 17:34:41,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,117 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,118 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,119 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:41,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:41,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=9.978, mean=-0.2199, std=2.607, absmax=11.45 +2025-10-31 17:34:41,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.766, max=7.063, mean=-0.2104, std=2.117, absmax=8.766 +2025-10-31 17:34:41,616 ERROR: Encountered non-finite generator loss at iter 9040; skipping update. +2025-10-31 17:34:41,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:41,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:41,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:41,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:41,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.58, mean=0.05033, std=2.948, absmax=11.67 +2025-10-31 17:34:41,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.523, max=9.801, mean=-5.422e-05, std=2.439, absmax=9.801 +2025-10-31 17:34:42,121 ERROR: Encountered non-finite generator loss at iter 9041; skipping update. +2025-10-31 17:34:42,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,129 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:42,130 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:42,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=14.37, mean=-0.02144, std=3.339, absmax=14.37 +2025-10-31 17:34:42,132 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=14.29, mean=-0.01639, std=2.846, absmax=14.29 +2025-10-31 17:34:42,625 ERROR: Encountered non-finite generator loss at iter 9042; skipping update. +2025-10-31 17:34:42,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:42,631 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:42,632 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:42,633 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:42,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.38, mean=-0.1598, std=3.269, absmax=13.38 +2025-10-31 17:34:42,635 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=11.6, mean=-0.1439, std=2.782, absmax=11.6 +2025-10-31 17:34:43,128 ERROR: Encountered non-finite generator loss at iter 9043; skipping update. +2025-10-31 17:34:43,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,131 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:43,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:43,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.35, mean=-0.03723, std=3.033, absmax=13.63 +2025-10-31 17:34:43,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.905, max=10.1, mean=-0.06274, std=2.387, absmax=10.1 +2025-10-31 17:34:43,631 ERROR: Encountered non-finite generator loss at iter 9044; skipping update. +2025-10-31 17:34:43,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,635 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,636 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:43,637 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:43,638 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:43,639 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:43,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=14.21, mean=-0.0932, std=3.847, absmax=14.55 +2025-10-31 17:34:43,641 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=10.24, mean=-0.1056, std=3.049, absmax=12.21 +2025-10-31 17:34:44,135 ERROR: Encountered non-finite generator loss at iter 9045; skipping update. +2025-10-31 17:34:44,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:44,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:44,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.74, mean=-0.29, std=2.413, absmax=12.5 +2025-10-31 17:34:44,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.356, mean=-0.2439, std=2.132, absmax=10.34 +2025-10-31 17:34:44,639 ERROR: Encountered non-finite generator loss at iter 9046; skipping update. +2025-10-31 17:34:44,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:44,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:44,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:44,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:44,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.52, mean=-0.273, std=2.677, absmax=13.32 +2025-10-31 17:34:44,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.611, max=8.441, mean=-0.232, std=2.28, absmax=9.611 +2025-10-31 17:34:45,139 ERROR: Encountered non-finite generator loss at iter 9047; skipping update. +2025-10-31 17:34:45,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:45,147 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:45,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=14.13, mean=-0.1756, std=3.427, absmax=14.44 +2025-10-31 17:34:45,149 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=10.57, mean=-0.1381, std=2.774, absmax=10.57 +2025-10-31 17:34:45,642 ERROR: Encountered non-finite generator loss at iter 9048; skipping update. +2025-10-31 17:34:45,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:45,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:45,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:45,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:45,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=14.68, mean=-0.08693, std=2.992, absmax=15.12 +2025-10-31 17:34:45,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=11.3, mean=-0.04793, std=2.419, absmax=11.3 +2025-10-31 17:34:46,146 ERROR: Encountered non-finite generator loss at iter 9049; skipping update. +2025-10-31 17:34:46,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:46,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:46,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=10.53, mean=-0.1527, std=2.884, absmax=13.63 +2025-10-31 17:34:46,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=8.077, mean=-0.1947, std=2.511, absmax=12.12 +2025-10-31 17:34:46,649 ERROR: Encountered non-finite generator loss at iter 9050; skipping update. +2025-10-31 17:34:46,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,652 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,652 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:46,654 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:46,655 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:46,656 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:46,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.18, mean=-0.0341, std=3.179, absmax=13.18 +2025-10-31 17:34:46,658 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.61, mean=0.002473, std=2.823, absmax=11.61 +2025-10-31 17:34:47,151 ERROR: Encountered non-finite generator loss at iter 9051; skipping update. +2025-10-31 17:34:47,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,155 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,157 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,158 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:47,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:47,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.13, mean=-0.2881, std=2.958, absmax=13.48 +2025-10-31 17:34:47,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.508, mean=-0.2476, std=2.463, absmax=11.08 +2025-10-31 17:34:47,656 ERROR: Encountered non-finite generator loss at iter 9052; skipping update. +2025-10-31 17:34:47,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,658 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:47,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:47,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:47,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:47,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.15, mean=-0.2061, std=3.066, absmax=13 +2025-10-31 17:34:47,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=7.969, mean=-0.2295, std=2.513, absmax=10.88 +2025-10-31 17:34:48,158 ERROR: Encountered non-finite generator loss at iter 9053; skipping update. +2025-10-31 17:34:48,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:48,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:48,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.88, mean=-0.2709, std=3.21, absmax=12.85 +2025-10-31 17:34:48,169 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=8.748, mean=-0.305, std=2.79, absmax=10.49 +2025-10-31 17:34:48,663 ERROR: Encountered non-finite generator loss at iter 9054; skipping update. +2025-10-31 17:34:48,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,666 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,668 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,669 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:48,670 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:48,671 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:48,672 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:48,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.52, mean=-0.1019, std=3.421, absmax=14.52 +2025-10-31 17:34:48,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.33, mean=-0.1691, std=2.84, absmax=11.33 +2025-10-31 17:34:49,168 ERROR: Encountered non-finite generator loss at iter 9055; skipping update. +2025-10-31 17:34:49,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:49,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:49,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.85, mean=0.1091, std=3.569, absmax=14.85 +2025-10-31 17:34:49,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.847, max=11.93, mean=0.07671, std=3.04, absmax=11.93 +2025-10-31 17:34:49,674 ERROR: Encountered non-finite generator loss at iter 9056; skipping update. +2025-10-31 17:34:49,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:49,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:49,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:49,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:49,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.19, mean=-0.2847, std=2.568, absmax=13.19 +2025-10-31 17:34:49,685 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.963, mean=-0.2687, std=2.21, absmax=10.3 +2025-10-31 17:34:50,179 ERROR: Encountered non-finite generator loss at iter 9057; skipping update. +2025-10-31 17:34:50,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:50,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:50,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=15.33, mean=-0.0355, std=3.077, absmax=15.33 +2025-10-31 17:34:50,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.49, mean=0.03351, std=2.519, absmax=10.49 +2025-10-31 17:34:50,683 ERROR: Encountered non-finite generator loss at iter 9058; skipping update. +2025-10-31 17:34:50,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,686 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,688 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:50,689 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:50,690 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:50,691 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:50,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=16.56, mean=-0.195, std=2.762, absmax=16.56 +2025-10-31 17:34:50,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=10.76, mean=-0.1855, std=2.264, absmax=10.76 +2025-10-31 17:34:51,187 ERROR: Encountered non-finite generator loss at iter 9059; skipping update. +2025-10-31 17:34:51,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,189 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,190 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,191 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,192 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,193 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,194 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:51,195 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:51,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.61, mean=-0.2118, std=2.613, absmax=12.61 +2025-10-31 17:34:51,197 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.934, max=8.742, mean=-0.166, std=2.214, absmax=8.934 +2025-10-31 17:34:51,691 ERROR: Encountered non-finite generator loss at iter 9060; skipping update. +2025-10-31 17:34:51,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:51,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:51,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:51,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:51,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.94, mean=-0.07725, std=3.367, absmax=13.94 +2025-10-31 17:34:51,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.14, mean=-0.0813, std=2.807, absmax=11.14 +2025-10-31 17:34:52,196 ERROR: Encountered non-finite generator loss at iter 9061; skipping update. +2025-10-31 17:34:52,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,200 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,201 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:52,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:52,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=17.76, mean=-0.03093, std=3.067, absmax=17.76 +2025-10-31 17:34:52,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.961, max=11.37, mean=-0.08948, std=2.61, absmax=11.37 +2025-10-31 17:34:52,702 ERROR: Encountered non-finite generator loss at iter 9062; skipping update. +2025-10-31 17:34:52,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:52,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:52,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:52,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:52,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.6, mean=-0.3009, std=3.679, absmax=14.77 +2025-10-31 17:34:52,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.97, max=10.78, mean=-0.2816, std=3.248, absmax=12.97 +2025-10-31 17:34:53,206 ERROR: Encountered non-finite generator loss at iter 9063; skipping update. +2025-10-31 17:34:53,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,209 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:53,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:53,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.07, mean=-0.1933, std=2.936, absmax=12.48 +2025-10-31 17:34:53,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=8.772, mean=-0.1792, std=2.61, absmax=10.8 +2025-10-31 17:34:53,713 ERROR: Encountered non-finite generator loss at iter 9064; skipping update. +2025-10-31 17:34:53,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,715 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,716 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,717 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:53,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:53,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:53,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:53,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.24, mean=-0.2825, std=2.794, absmax=14 +2025-10-31 17:34:53,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=10.24, mean=-0.2689, std=2.351, absmax=13.15 +2025-10-31 17:34:54,218 ERROR: Encountered non-finite generator loss at iter 9065; skipping update. +2025-10-31 17:34:54,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,220 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:54,225 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:54,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=15.29, mean=-0.2167, std=2.994, absmax=15.29 +2025-10-31 17:34:54,227 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.03, max=10.91, mean=-0.2328, std=2.648, absmax=12.03 +2025-10-31 17:34:54,721 ERROR: Encountered non-finite generator loss at iter 9066; skipping update. +2025-10-31 17:34:54,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,724 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:54,725 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:54,726 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:54,727 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:54,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.13, max=14.32, mean=-0.08472, std=2.524, absmax=16.13 +2025-10-31 17:34:54,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=10.42, mean=-0.07394, std=2.212, absmax=12.12 +2025-10-31 17:34:55,222 ERROR: Encountered non-finite generator loss at iter 9067; skipping update. +2025-10-31 17:34:55,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,225 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,230 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:55,231 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:55,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.89, mean=-0.05623, std=3.193, absmax=14.89 +2025-10-31 17:34:55,233 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=11.7, mean=-0.0982, std=2.726, absmax=11.7 +2025-10-31 17:34:55,729 ERROR: Encountered non-finite generator loss at iter 9068; skipping update. +2025-10-31 17:34:55,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,733 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:55,734 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:55,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:55,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:55,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.24, mean=-0.1039, std=3.059, absmax=14.24 +2025-10-31 17:34:55,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12, max=12.19, mean=-0.1262, std=2.546, absmax=12.19 +2025-10-31 17:34:56,233 ERROR: Encountered non-finite generator loss at iter 9069; skipping update. +2025-10-31 17:34:56,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,240 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:56,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:56,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=9.64, mean=-0.2557, std=2.878, absmax=12.53 +2025-10-31 17:34:56,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=8.146, mean=-0.2659, std=2.554, absmax=10.79 +2025-10-31 17:34:56,739 ERROR: Encountered non-finite generator loss at iter 9070; skipping update. +2025-10-31 17:34:56,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,743 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:56,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:56,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:56,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:56,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.98, mean=-0.3204, std=3.05, absmax=12.43 +2025-10-31 17:34:56,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=9.945, mean=-0.3059, std=2.744, absmax=11.61 +2025-10-31 17:34:57,243 ERROR: Encountered non-finite generator loss at iter 9071; skipping update. +2025-10-31 17:34:57,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:57,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:57,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.52, mean=-0.06597, std=2.918, absmax=12.52 +2025-10-31 17:34:57,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.194, max=10.16, mean=-0.09077, std=2.505, absmax=10.16 +2025-10-31 17:34:57,749 ERROR: Encountered non-finite generator loss at iter 9072; skipping update. +2025-10-31 17:34:57,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,751 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,752 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,753 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,754 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:57,755 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:57,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:57,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:57,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.36, max=14.41, mean=-0.06365, std=3.493, absmax=18.36 +2025-10-31 17:34:57,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=12.18, mean=-0.1001, std=2.825, absmax=12.3 +2025-10-31 17:34:58,253 ERROR: Encountered non-finite generator loss at iter 9073; skipping update. +2025-10-31 17:34:58,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,258 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,259 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:58,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:58,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=10.89, mean=-0.2894, std=2.197, absmax=10.89 +2025-10-31 17:34:58,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.162, max=6.421, mean=-0.2651, std=1.929, absmax=8.162 +2025-10-31 17:34:58,759 ERROR: Encountered non-finite generator loss at iter 9074; skipping update. +2025-10-31 17:34:58,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,761 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:58,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:58,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:58,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:58,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=16.11, mean=-0.09947, std=3.176, absmax=16.11 +2025-10-31 17:34:58,768 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=10.72, mean=-0.1296, std=2.508, absmax=10.72 +2025-10-31 17:34:59,263 ERROR: Encountered non-finite generator loss at iter 9075; skipping update. +2025-10-31 17:34:59,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,266 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,270 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,271 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:59,272 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:59,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.64, mean=-0.2436, std=2.591, absmax=11.78 +2025-10-31 17:34:59,274 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=8.227, mean=-0.2644, std=2.179, absmax=10.36 +2025-10-31 17:34:59,769 ERROR: Encountered non-finite generator loss at iter 9076; skipping update. +2025-10-31 17:34:59,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,772 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,772 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,772 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,774 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:34:59,775 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:34:59,776 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:34:59,777 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:34:59,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=14.23, mean=0.04716, std=3.562, absmax=15.37 +2025-10-31 17:34:59,779 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.99, max=11.58, mean=0.01924, std=3.039, absmax=12.99 +2025-10-31 17:35:00,274 ERROR: Encountered non-finite generator loss at iter 9077; skipping update. +2025-10-31 17:35:00,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,277 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,277 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:00,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:00,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.91, mean=-0.05368, std=2.967, absmax=13.66 +2025-10-31 17:35:00,284 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.34, mean=-0.04257, std=2.619, absmax=11.34 +2025-10-31 17:35:00,778 ERROR: Encountered non-finite generator loss at iter 9078; skipping update. +2025-10-31 17:35:00,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,783 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,784 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:00,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:00,786 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:00,786 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:00,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.39, mean=-0.2752, std=3.099, absmax=13.18 +2025-10-31 17:35:00,788 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.9, mean=-0.2436, std=2.508, absmax=10.78 +2025-10-31 17:35:01,280 ERROR: Encountered non-finite generator loss at iter 9079; skipping update. +2025-10-31 17:35:01,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,283 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,285 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,286 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,287 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:01,288 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:01,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.44, mean=-0.2751, std=3.133, absmax=13.44 +2025-10-31 17:35:01,290 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=11.99, mean=-0.1834, std=2.632, absmax=11.99 +2025-10-31 17:35:01,783 ERROR: Encountered non-finite generator loss at iter 9080; skipping update. +2025-10-31 17:35:01,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,786 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,786 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,787 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,788 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:01,789 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:01,790 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:01,791 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:01,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.49, mean=0.1155, std=3.626, absmax=14.49 +2025-10-31 17:35:01,793 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=11.88, mean=0.05653, std=3.003, absmax=11.88 +2025-10-31 17:35:02,287 ERROR: Encountered non-finite generator loss at iter 9081; skipping update. +2025-10-31 17:35:02,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:02,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:02,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=19.28, mean=-0.09814, std=3.702, absmax=19.28 +2025-10-31 17:35:02,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=14.88, mean=-0.1152, std=3.056, absmax=14.88 +2025-10-31 17:35:02,789 ERROR: Encountered non-finite generator loss at iter 9082; skipping update. +2025-10-31 17:35:02,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:02,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:02,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:02,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:02,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.86, mean=-0.2905, std=2.742, absmax=13.86 +2025-10-31 17:35:02,799 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.783, max=8.772, mean=-0.2513, std=2.257, absmax=8.783 +2025-10-31 17:35:03,294 ERROR: Encountered non-finite generator loss at iter 9083; skipping update. +2025-10-31 17:35:03,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,297 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,299 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,300 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:03,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:03,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=13.77, mean=0.04707, std=3.091, absmax=13.77 +2025-10-31 17:35:03,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=11.93, mean=-0.00593, std=2.57, absmax=11.93 +2025-10-31 17:35:03,798 ERROR: Encountered non-finite generator loss at iter 9084; skipping update. +2025-10-31 17:35:03,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,801 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:03,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:03,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:03,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:03,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=16.72, mean=-0.1347, std=3.396, absmax=16.72 +2025-10-31 17:35:03,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=14.58, mean=-0.1408, std=2.953, absmax=14.58 +2025-10-31 17:35:04,303 ERROR: Encountered non-finite generator loss at iter 9085; skipping update. +2025-10-31 17:35:04,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:04,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:04,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.45, mean=-0.2262, std=3.174, absmax=13.58 +2025-10-31 17:35:04,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=10.81, mean=-0.1923, std=2.678, absmax=10.81 +2025-10-31 17:35:04,822 ERROR: Encountered non-finite generator loss at iter 9086; skipping update. +2025-10-31 17:35:04,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,824 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,825 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:04,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:04,828 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:04,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:04,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.84, mean=-0.2869, std=3.911, absmax=14.7 +2025-10-31 17:35:04,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=10.6, mean=-0.2417, std=3.426, absmax=12.9 +2025-10-31 17:35:05,325 ERROR: Encountered non-finite generator loss at iter 9087; skipping update. +2025-10-31 17:35:05,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,328 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,329 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,330 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:05,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:05,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.96, mean=-0.182, std=3.503, absmax=14.96 +2025-10-31 17:35:05,333 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=13.51, mean=-0.176, std=3.024, absmax=13.51 +2025-10-31 17:35:05,827 ERROR: Encountered non-finite generator loss at iter 9088; skipping update. +2025-10-31 17:35:05,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:05,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:05,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:05,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:05,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.78, max=13.11, mean=-0.1843, std=2.805, absmax=16.78 +2025-10-31 17:35:05,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.857, max=9.672, mean=-0.2098, std=2.347, absmax=9.857 +2025-10-31 17:35:06,330 ERROR: Encountered non-finite generator loss at iter 9089; skipping update. +2025-10-31 17:35:06,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,333 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,333 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,334 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,335 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,336 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,337 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:06,338 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:06,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.45, mean=-0.3431, std=2.798, absmax=12.17 +2025-10-31 17:35:06,340 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=9.536, mean=-0.325, std=2.525, absmax=10.54 +2025-10-31 17:35:06,833 ERROR: Encountered non-finite generator loss at iter 9090; skipping update. +2025-10-31 17:35:06,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:06,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:06,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:06,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:06,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.65, mean=0.06327, std=3.412, absmax=12.79 +2025-10-31 17:35:06,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.497, max=9.772, mean=0.0401, std=2.692, absmax=9.772 +2025-10-31 17:35:07,336 ERROR: Encountered non-finite generator loss at iter 9091; skipping update. +2025-10-31 17:35:07,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,338 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:07,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:07,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=11.43, mean=-0.1365, std=2.311, absmax=11.43 +2025-10-31 17:35:07,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.99, max=7.382, mean=-0.2293, std=2.084, absmax=8.99 +2025-10-31 17:35:07,837 ERROR: Encountered non-finite generator loss at iter 9092; skipping update. +2025-10-31 17:35:07,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,840 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,840 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:07,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:07,845 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:07,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:07,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=15.66, mean=-0.1325, std=2.866, absmax=15.66 +2025-10-31 17:35:07,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=11.19, mean=-0.1493, std=2.422, absmax=11.19 +2025-10-31 17:35:08,340 ERROR: Encountered non-finite generator loss at iter 9093; skipping update. +2025-10-31 17:35:08,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:08,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:08,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=16.32, mean=-0.2029, std=3.017, absmax=16.32 +2025-10-31 17:35:08,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.02, mean=-0.1639, std=2.788, absmax=11.02 +2025-10-31 17:35:08,843 ERROR: Encountered non-finite generator loss at iter 9094; skipping update. +2025-10-31 17:35:08,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:08,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:08,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:08,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:08,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.72, mean=-0.07356, std=3.235, absmax=13.72 +2025-10-31 17:35:08,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.872, max=11.41, mean=-0.1012, std=2.619, absmax=11.41 +2025-10-31 17:35:09,347 ERROR: Encountered non-finite generator loss at iter 9095; skipping update. +2025-10-31 17:35:09,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,350 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:09,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:09,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.99, mean=-0.2403, std=2.824, absmax=12.58 +2025-10-31 17:35:09,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.887, max=9.036, mean=-0.2588, std=2.441, absmax=9.887 +2025-10-31 17:35:09,852 ERROR: Encountered non-finite generator loss at iter 9096; skipping update. +2025-10-31 17:35:09,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,854 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,856 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,857 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:09,858 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:09,859 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:09,860 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:09,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.89, mean=-0.2845, std=3.238, absmax=13.89 +2025-10-31 17:35:09,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=9.118, mean=-0.2956, std=2.63, absmax=10.8 +2025-10-31 17:35:10,356 ERROR: Encountered non-finite generator loss at iter 9097; skipping update. +2025-10-31 17:35:10,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,359 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,360 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,361 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,362 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:10,363 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:10,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.26, mean=-0.09234, std=2.954, absmax=15.26 +2025-10-31 17:35:10,365 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.997, max=9.441, mean=-0.08878, std=2.416, absmax=9.997 +2025-10-31 17:35:10,858 ERROR: Encountered non-finite generator loss at iter 9098; skipping update. +2025-10-31 17:35:10,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:10,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:10,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:10,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:10,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.74, mean=-0.1439, std=3.038, absmax=13.74 +2025-10-31 17:35:10,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.85, mean=-0.1225, std=2.391, absmax=10.85 +2025-10-31 17:35:11,360 ERROR: Encountered non-finite generator loss at iter 9099; skipping update. +2025-10-31 17:35:11,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,363 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,364 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:11,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:11,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=10.16, mean=-0.1593, std=2.954, absmax=12.85 +2025-10-31 17:35:11,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=7.597, mean=-0.1609, std=2.385, absmax=10.02 +2025-10-31 17:35:11,863 ERROR: Encountered non-finite generator loss at iter 9100; skipping update. +2025-10-31 17:35:11,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,866 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,866 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:11,869 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:11,870 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:11,871 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:11,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.75, mean=-0.2149, std=3.05, absmax=12.82 +2025-10-31 17:35:11,873 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.966, max=10.69, mean=-0.1925, std=2.519, absmax=10.69 +2025-10-31 17:35:11,874 INFO: [29..][epoch: 0, step: 9,100, lr:(1.500e-04,)] [eta: 1 day, 16:13:37, time (data): 0.504 (0.000)] +2025-10-31 17:35:12,368 ERROR: Encountered non-finite generator loss at iter 9101; skipping update. +2025-10-31 17:35:12,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:12,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:12,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.24, mean=-0.3027, std=2.991, absmax=12.3 +2025-10-31 17:35:12,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=8.623, mean=-0.3024, std=2.452, absmax=11.06 +2025-10-31 17:35:12,872 ERROR: Encountered non-finite generator loss at iter 9102; skipping update. +2025-10-31 17:35:12,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:12,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:12,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:12,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:12,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=12.52, mean=-0.2026, std=2.623, absmax=12.52 +2025-10-31 17:35:12,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.832, max=9.673, mean=-0.2083, std=2.226, absmax=9.673 +2025-10-31 17:35:13,386 ERROR: Encountered non-finite generator loss at iter 9103; skipping update. +2025-10-31 17:35:13,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,391 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,392 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,393 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:13,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:13,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.52, mean=-0.1553, std=3.117, absmax=13.39 +2025-10-31 17:35:13,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=8.858, mean=-0.1279, std=2.52, absmax=11.95 +2025-10-31 17:35:13,891 ERROR: Encountered non-finite generator loss at iter 9104; skipping update. +2025-10-31 17:35:13,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,893 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:13,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:13,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:13,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:13,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.15, mean=-0.1132, std=3.028, absmax=14.12 +2025-10-31 17:35:13,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.877, max=9.555, mean=-0.1267, std=2.392, absmax=9.555 +2025-10-31 17:35:14,393 ERROR: Encountered non-finite generator loss at iter 9105; skipping update. +2025-10-31 17:35:14,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,398 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:14,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:14,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.63, mean=-0.1295, std=3.009, absmax=13.35 +2025-10-31 17:35:14,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=10.07, mean=-0.1679, std=2.792, absmax=13.15 +2025-10-31 17:35:14,897 ERROR: Encountered non-finite generator loss at iter 9106; skipping update. +2025-10-31 17:35:14,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,899 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,900 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,900 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:14,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:14,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:14,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:14,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=11.55, mean=-0.2048, std=2.499, absmax=12.15 +2025-10-31 17:35:14,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.643, max=8.528, mean=-0.1888, std=2.283, absmax=8.643 +2025-10-31 17:35:15,399 ERROR: Encountered non-finite generator loss at iter 9107; skipping update. +2025-10-31 17:35:15,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,401 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,401 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,401 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,402 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:15,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:15,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=15.58, mean=-0.1447, std=3.686, absmax=15.58 +2025-10-31 17:35:15,407 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=12.88, mean=-0.08995, std=3.133, absmax=12.88 +2025-10-31 17:35:15,900 ERROR: Encountered non-finite generator loss at iter 9108; skipping update. +2025-10-31 17:35:15,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,902 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,903 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:15,904 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:15,905 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:15,906 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:15,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=11.63, mean=-0.1458, std=2.505, absmax=11.63 +2025-10-31 17:35:15,908 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.936, max=9.943, mean=-0.1463, std=2.19, absmax=9.943 +2025-10-31 17:35:16,400 ERROR: Encountered non-finite generator loss at iter 9109; skipping update. +2025-10-31 17:35:16,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,404 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:16,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:16,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.43, max=12.88, mean=-0.3395, std=3.728, absmax=16.43 +2025-10-31 17:35:16,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.02, max=9.516, mean=-0.3116, std=3.177, absmax=14.02 +2025-10-31 17:35:16,903 ERROR: Encountered non-finite generator loss at iter 9110; skipping update. +2025-10-31 17:35:16,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,905 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:16,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:16,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:16,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:16,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.4, mean=-0.1793, std=2.69, absmax=15.4 +2025-10-31 17:35:16,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.286, max=9.573, mean=-0.2135, std=2.302, absmax=9.573 +2025-10-31 17:35:17,407 ERROR: Encountered non-finite generator loss at iter 9111; skipping update. +2025-10-31 17:35:17,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,409 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,410 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:17,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:17,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.16, mean=0.05458, std=4.054, absmax=15.16 +2025-10-31 17:35:17,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=14.82, mean=0.09131, std=3.584, absmax=14.82 +2025-10-31 17:35:17,910 ERROR: Encountered non-finite generator loss at iter 9112; skipping update. +2025-10-31 17:35:17,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,912 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,913 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,913 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,914 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:17,915 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:17,916 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:17,917 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:17,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=11.99, mean=-0.05485, std=3.013, absmax=12.47 +2025-10-31 17:35:17,919 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=9.396, mean=-0.1121, std=2.399, absmax=10.06 +2025-10-31 17:35:18,412 ERROR: Encountered non-finite generator loss at iter 9113; skipping update. +2025-10-31 17:35:18,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,414 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,415 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,417 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:18,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:18,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.03, mean=-0.2686, std=3.3, absmax=14.25 +2025-10-31 17:35:18,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.564, mean=-0.263, std=2.672, absmax=10.63 +2025-10-31 17:35:18,913 ERROR: Encountered non-finite generator loss at iter 9114; skipping update. +2025-10-31 17:35:18,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:18,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:18,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:18,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:18,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.28, mean=-0.3694, std=3.599, absmax=13.49 +2025-10-31 17:35:18,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.19, max=9.397, mean=-0.3175, std=3.074, absmax=12.19 +2025-10-31 17:35:19,415 ERROR: Encountered non-finite generator loss at iter 9115; skipping update. +2025-10-31 17:35:19,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,418 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,418 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,419 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,420 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:19,421 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:19,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.57, mean=-0.05128, std=2.877, absmax=13.57 +2025-10-31 17:35:19,423 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.422, max=10.48, mean=-0.1001, std=2.284, absmax=10.48 +2025-10-31 17:35:19,916 ERROR: Encountered non-finite generator loss at iter 9116; skipping update. +2025-10-31 17:35:19,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,919 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,920 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:19,921 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:19,922 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:19,923 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:19,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=11.67, mean=0.0174, std=2.998, absmax=11.67 +2025-10-31 17:35:19,926 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.676, max=10.55, mean=-0.04368, std=2.565, absmax=10.55 +2025-10-31 17:35:20,419 ERROR: Encountered non-finite generator loss at iter 9117; skipping update. +2025-10-31 17:35:20,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,422 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,423 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,424 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:20,425 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:20,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=13.57, mean=-0.08112, std=2.787, absmax=13.57 +2025-10-31 17:35:20,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=10.86, mean=-0.05016, std=2.369, absmax=10.86 +2025-10-31 17:35:20,922 ERROR: Encountered non-finite generator loss at iter 9118; skipping update. +2025-10-31 17:35:20,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,924 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,925 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:20,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:20,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:20,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:20,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.87, mean=-0.02989, std=3.548, absmax=13.87 +2025-10-31 17:35:20,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=12.93, mean=-0.0237, std=3.106, absmax=12.93 +2025-10-31 17:35:21,424 ERROR: Encountered non-finite generator loss at iter 9119; skipping update. +2025-10-31 17:35:21,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,426 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:21,432 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:21,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.92, mean=-0.2797, std=3.028, absmax=12.92 +2025-10-31 17:35:21,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.356, max=10.66, mean=-0.2692, std=2.418, absmax=10.66 +2025-10-31 17:35:21,929 ERROR: Encountered non-finite generator loss at iter 9120; skipping update. +2025-10-31 17:35:21,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,931 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,932 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:21,941 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:21,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:21,941 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:21,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.21, mean=-0.3666, std=2.799, absmax=13.29 +2025-10-31 17:35:21,943 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=8.524, mean=-0.3401, std=2.314, absmax=10.14 +2025-10-31 17:35:22,437 ERROR: Encountered non-finite generator loss at iter 9121; skipping update. +2025-10-31 17:35:22,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,439 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,439 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,440 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,440 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,441 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:22,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:22,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.37, mean=-0.03377, std=2.983, absmax=12.58 +2025-10-31 17:35:22,445 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=9.734, mean=-0.02245, std=2.507, absmax=9.734 +2025-10-31 17:35:22,938 ERROR: Encountered non-finite generator loss at iter 9122; skipping update. +2025-10-31 17:35:22,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:22,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:22,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:22,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:22,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.04, mean=-0.2947, std=2.892, absmax=13.05 +2025-10-31 17:35:22,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.247, mean=-0.2738, std=2.442, absmax=10.37 +2025-10-31 17:35:23,438 ERROR: Encountered non-finite generator loss at iter 9123; skipping update. +2025-10-31 17:35:23,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,442 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,443 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,444 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:23,445 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:23,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.32, mean=-0.1477, std=3.34, absmax=14.32 +2025-10-31 17:35:23,447 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=10.75, mean=-0.1456, std=2.853, absmax=10.75 +2025-10-31 17:35:23,939 ERROR: Encountered non-finite generator loss at iter 9124; skipping update. +2025-10-31 17:35:23,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,941 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:23,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:23,944 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:23,945 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:23,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.4, mean=0.1469, std=3.773, absmax=14.28 +2025-10-31 17:35:23,947 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.9, max=11.68, mean=0.127, std=3.384, absmax=12.9 +2025-10-31 17:35:24,440 ERROR: Encountered non-finite generator loss at iter 9125; skipping update. +2025-10-31 17:35:24,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,442 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:24,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:24,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.23, mean=-0.1785, std=2.908, absmax=13.23 +2025-10-31 17:35:24,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.925, max=10.95, mean=-0.2025, std=2.356, absmax=10.95 +2025-10-31 17:35:24,941 ERROR: Encountered non-finite generator loss at iter 9126; skipping update. +2025-10-31 17:35:24,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:24,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:24,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:24,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:24,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.71, mean=-0.2199, std=3.075, absmax=13.71 +2025-10-31 17:35:24,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.05, mean=-0.2108, std=2.622, absmax=10.42 +2025-10-31 17:35:25,444 ERROR: Encountered non-finite generator loss at iter 9127; skipping update. +2025-10-31 17:35:25,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:25,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:25,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=10.83, mean=-0.2537, std=2.665, absmax=11.28 +2025-10-31 17:35:25,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.399, max=9.238, mean=-0.2532, std=2.299, absmax=9.399 +2025-10-31 17:35:25,946 ERROR: Encountered non-finite generator loss at iter 9128; skipping update. +2025-10-31 17:35:25,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:25,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:25,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:25,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:25,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=10.78, mean=-0.2798, std=2.374, absmax=11.21 +2025-10-31 17:35:25,954 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.413, max=6.901, mean=-0.2354, std=2.069, absmax=8.413 +2025-10-31 17:35:26,447 ERROR: Encountered non-finite generator loss at iter 9129; skipping update. +2025-10-31 17:35:26,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:26,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:26,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.72, mean=0.008137, std=3.341, absmax=14.72 +2025-10-31 17:35:26,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.869, max=11.88, mean=-0.071, std=2.674, absmax=11.88 +2025-10-31 17:35:26,948 ERROR: Encountered non-finite generator loss at iter 9130; skipping update. +2025-10-31 17:35:26,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:26,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:26,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:26,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:26,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.32, mean=0.03858, std=2.933, absmax=13.32 +2025-10-31 17:35:26,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.545, mean=-0.01804, std=2.479, absmax=10.37 +2025-10-31 17:35:27,450 ERROR: Encountered non-finite generator loss at iter 9131; skipping update. +2025-10-31 17:35:27,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,453 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,454 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,456 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:27,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:27,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=11.28, mean=-0.09303, std=2.633, absmax=11.28 +2025-10-31 17:35:27,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.27, max=8.814, mean=-0.1357, std=2.261, absmax=9.27 +2025-10-31 17:35:27,952 ERROR: Encountered non-finite generator loss at iter 9132; skipping update. +2025-10-31 17:35:27,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:27,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:27,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:27,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:27,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=9.735, mean=-0.3146, std=2.669, absmax=12.16 +2025-10-31 17:35:27,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.678, max=8.194, mean=-0.3213, std=2.341, absmax=9.678 +2025-10-31 17:35:28,454 ERROR: Encountered non-finite generator loss at iter 9133; skipping update. +2025-10-31 17:35:28,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,457 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,458 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,459 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,460 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:28,461 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:28,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12, mean=-0.1673, std=3.218, absmax=12.68 +2025-10-31 17:35:28,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=10.22, mean=-0.1733, std=2.703, absmax=10.22 +2025-10-31 17:35:28,955 ERROR: Encountered non-finite generator loss at iter 9134; skipping update. +2025-10-31 17:35:28,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:28,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:28,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:28,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:28,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.33, mean=-0.2101, std=2.598, absmax=14.05 +2025-10-31 17:35:28,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=7.404, mean=-0.2058, std=2.272, absmax=11.04 +2025-10-31 17:35:29,457 ERROR: Encountered non-finite generator loss at iter 9135; skipping update. +2025-10-31 17:35:29,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,459 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,460 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,460 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,461 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,462 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,463 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:29,464 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:29,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=17.07, mean=-0.07048, std=3.36, absmax=17.07 +2025-10-31 17:35:29,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11, mean=-0.1037, std=2.811, absmax=11 +2025-10-31 17:35:29,958 ERROR: Encountered non-finite generator loss at iter 9136; skipping update. +2025-10-31 17:35:29,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,960 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:29,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:29,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:29,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:29,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.02, mean=-0.3201, std=2.59, absmax=12.77 +2025-10-31 17:35:29,967 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.708, max=7.416, mean=-0.2888, std=2.166, absmax=9.708 +2025-10-31 17:35:30,457 ERROR: Encountered non-finite generator loss at iter 9137; skipping update. +2025-10-31 17:35:30,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:30,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:30,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.8, mean=-0.04778, std=2.9, absmax=14.8 +2025-10-31 17:35:30,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.372, max=10.04, mean=-0.06699, std=2.313, absmax=10.04 +2025-10-31 17:35:30,959 ERROR: Encountered non-finite generator loss at iter 9138; skipping update. +2025-10-31 17:35:30,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:30,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:30,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:30,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:30,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.62, mean=-0.09808, std=3.135, absmax=12.62 +2025-10-31 17:35:30,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.82, max=9.78, mean=-0.131, std=2.561, absmax=9.82 +2025-10-31 17:35:31,459 ERROR: Encountered non-finite generator loss at iter 9139; skipping update. +2025-10-31 17:35:31,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:31,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:31,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.18, mean=-0.2824, std=2.724, absmax=12.18 +2025-10-31 17:35:31,471 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.337, max=8.303, mean=-0.3131, std=2.298, absmax=9.337 +2025-10-31 17:35:31,961 ERROR: Encountered non-finite generator loss at iter 9140; skipping update. +2025-10-31 17:35:31,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:31,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:31,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:31,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:31,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.03, max=13.85, mean=-0.2676, std=3.521, absmax=16.03 +2025-10-31 17:35:31,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.36, mean=-0.2951, std=3.076, absmax=12.1 +2025-10-31 17:35:32,462 ERROR: Encountered non-finite generator loss at iter 9141; skipping update. +2025-10-31 17:35:32,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,465 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:32,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:32,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.18, mean=-0.1156, std=2.665, absmax=12.18 +2025-10-31 17:35:32,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.179, max=8.809, mean=-0.1416, std=2.096, absmax=8.809 +2025-10-31 17:35:32,960 ERROR: Encountered non-finite generator loss at iter 9142; skipping update. +2025-10-31 17:35:32,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,963 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:32,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:32,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:32,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:32,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.73, mean=0.1061, std=3.485, absmax=14.73 +2025-10-31 17:35:32,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=11.5, mean=-0.002096, std=2.93, absmax=11.5 +2025-10-31 17:35:33,460 ERROR: Encountered non-finite generator loss at iter 9143; skipping update. +2025-10-31 17:35:33,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,463 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,464 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:33,465 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:33,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.85, mean=-0.126, std=2.778, absmax=12.85 +2025-10-31 17:35:33,467 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.049, max=11.38, mean=-0.1004, std=2.389, absmax=11.38 +2025-10-31 17:35:33,958 ERROR: Encountered non-finite generator loss at iter 9144; skipping update. +2025-10-31 17:35:33,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:33,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:33,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:33,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:33,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=12.47, mean=-0.1969, std=2.696, absmax=14.05 +2025-10-31 17:35:33,968 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.49, mean=-0.1848, std=2.198, absmax=11.2 +2025-10-31 17:35:34,459 ERROR: Encountered non-finite generator loss at iter 9145; skipping update. +2025-10-31 17:35:34,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,461 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:34,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:34,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.6, mean=-0.1878, std=3.013, absmax=12.67 +2025-10-31 17:35:34,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=9.193, mean=-0.2518, std=2.629, absmax=11.77 +2025-10-31 17:35:34,959 ERROR: Encountered non-finite generator loss at iter 9146; skipping update. +2025-10-31 17:35:34,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,961 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,962 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,962 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,963 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:34,964 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:34,965 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:34,966 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:34,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11.96, mean=-0.08305, std=2.99, absmax=13.07 +2025-10-31 17:35:34,968 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.785, max=9.331, mean=-0.1211, std=2.461, absmax=9.331 +2025-10-31 17:35:35,459 ERROR: Encountered non-finite generator loss at iter 9147; skipping update. +2025-10-31 17:35:35,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:35,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:35,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=10.3, mean=-0.1999, std=2.977, absmax=12.71 +2025-10-31 17:35:35,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.876, mean=-0.1924, std=2.566, absmax=10.34 +2025-10-31 17:35:35,961 ERROR: Encountered non-finite generator loss at iter 9148; skipping update. +2025-10-31 17:35:35,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,964 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:35,965 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:35,966 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:35,967 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:35,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.8, mean=-0.1952, std=3.171, absmax=14.32 +2025-10-31 17:35:35,969 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.148, mean=-0.2011, std=2.543, absmax=10.58 +2025-10-31 17:35:36,460 ERROR: Encountered non-finite generator loss at iter 9149; skipping update. +2025-10-31 17:35:36,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:36,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:36,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.31, mean=-0.2374, std=2.946, absmax=13.12 +2025-10-31 17:35:36,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=10.03, mean=-0.2106, std=2.327, absmax=10.03 +2025-10-31 17:35:36,961 ERROR: Encountered non-finite generator loss at iter 9150; skipping update. +2025-10-31 17:35:36,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,963 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:36,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:36,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:36,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:36,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.84, mean=0.2173, std=3.436, absmax=13.84 +2025-10-31 17:35:36,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=12.12, mean=0.1944, std=3.003, absmax=12.12 +2025-10-31 17:35:37,462 ERROR: Encountered non-finite generator loss at iter 9151; skipping update. +2025-10-31 17:35:37,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,464 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,466 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,466 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,468 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,469 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:37,470 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:37,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.99, mean=-0.1808, std=2.65, absmax=12.99 +2025-10-31 17:35:37,472 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.766, max=8.952, mean=-0.1959, std=2.076, absmax=8.952 +2025-10-31 17:35:37,965 ERROR: Encountered non-finite generator loss at iter 9152; skipping update. +2025-10-31 17:35:37,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,968 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:37,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:37,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:37,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:37,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.96, mean=-0.1369, std=2.694, absmax=14.96 +2025-10-31 17:35:37,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.662, max=10.18, mean=-0.1295, std=2.156, absmax=10.18 +2025-10-31 17:35:38,469 ERROR: Encountered non-finite generator loss at iter 9153; skipping update. +2025-10-31 17:35:38,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,472 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:38,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:38,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.97, mean=-0.1384, std=3.122, absmax=12.97 +2025-10-31 17:35:38,479 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=10.17, mean=-0.1362, std=2.577, absmax=10.17 +2025-10-31 17:35:38,971 ERROR: Encountered non-finite generator loss at iter 9154; skipping update. +2025-10-31 17:35:38,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,974 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:38,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:38,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:38,979 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:38,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=10.93, mean=-0.03297, std=2.77, absmax=11.73 +2025-10-31 17:35:38,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.765, max=10.02, mean=-0.05892, std=2.364, absmax=10.02 +2025-10-31 17:35:39,474 ERROR: Encountered non-finite generator loss at iter 9155; skipping update. +2025-10-31 17:35:39,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,477 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,477 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:39,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:39,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=10.98, mean=-0.06944, std=2.889, absmax=12.46 +2025-10-31 17:35:39,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.96, max=10.33, mean=-0.04948, std=2.548, absmax=10.33 +2025-10-31 17:35:39,975 ERROR: Encountered non-finite generator loss at iter 9156; skipping update. +2025-10-31 17:35:39,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,977 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,978 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,978 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,979 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:39,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:39,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:39,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:39,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.07, mean=-0.19, std=2.817, absmax=14.07 +2025-10-31 17:35:39,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.578, mean=-0.1795, std=2.35, absmax=11.41 +2025-10-31 17:35:40,477 ERROR: Encountered non-finite generator loss at iter 9157; skipping update. +2025-10-31 17:35:40,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,479 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,480 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,481 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,482 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:40,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:40,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.63, mean=-0.2502, std=3.224, absmax=13.24 +2025-10-31 17:35:40,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.62, max=9.299, mean=-0.2504, std=2.718, absmax=11.62 +2025-10-31 17:35:40,978 ERROR: Encountered non-finite generator loss at iter 9158; skipping update. +2025-10-31 17:35:40,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,981 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:40,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:40,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:40,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:40,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.89, mean=-0.2302, std=3.096, absmax=13.08 +2025-10-31 17:35:40,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=10.49, mean=-0.2059, std=2.687, absmax=10.49 +2025-10-31 17:35:41,481 ERROR: Encountered non-finite generator loss at iter 9159; skipping update. +2025-10-31 17:35:41,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:41,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:41,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=12.12, mean=-0.3779, std=3.061, absmax=14.8 +2025-10-31 17:35:41,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.71, max=9.494, mean=-0.3477, std=2.607, absmax=13.71 +2025-10-31 17:35:41,980 ERROR: Encountered non-finite generator loss at iter 9160; skipping update. +2025-10-31 17:35:41,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:41,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:41,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:41,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:41,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.25, mean=-0.1117, std=2.783, absmax=12.25 +2025-10-31 17:35:41,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=11.57, mean=-0.1345, std=2.408, absmax=11.57 +2025-10-31 17:35:42,482 ERROR: Encountered non-finite generator loss at iter 9161; skipping update. +2025-10-31 17:35:42,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,485 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,486 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,487 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,488 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,489 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:42,490 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:42,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.93, mean=-0.2396, std=2.636, absmax=13.93 +2025-10-31 17:35:42,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=8.63, mean=-0.2168, std=2.298, absmax=10.17 +2025-10-31 17:35:42,986 ERROR: Encountered non-finite generator loss at iter 9162; skipping update. +2025-10-31 17:35:42,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,988 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:42,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:42,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:42,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:42,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.78, mean=-0.07596, std=3.025, absmax=14.78 +2025-10-31 17:35:42,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=13.29, mean=-0.05912, std=2.608, absmax=13.29 +2025-10-31 17:35:43,487 ERROR: Encountered non-finite generator loss at iter 9163; skipping update. +2025-10-31 17:35:43,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:43,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:43,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=13.08, mean=0.1305, std=3.144, absmax=14.01 +2025-10-31 17:35:43,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=11.36, mean=0.08075, std=2.626, absmax=11.36 +2025-10-31 17:35:43,991 ERROR: Encountered non-finite generator loss at iter 9164; skipping update. +2025-10-31 17:35:43,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:43,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:43,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:43,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:44,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.43, mean=-0.1482, std=2.443, absmax=12.07 +2025-10-31 17:35:44,001 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=6.841, mean=-0.1806, std=2.045, absmax=10.47 +2025-10-31 17:35:44,493 ERROR: Encountered non-finite generator loss at iter 9165; skipping update. +2025-10-31 17:35:44,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:44,495 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:44,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:44,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:44,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:44,498 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:44,499 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:44,500 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:44,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.57, mean=-0.1854, std=3.056, absmax=13.92 +2025-10-31 17:35:44,502 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=9.095, mean=-0.1471, std=2.615, absmax=10.7 +2025-10-31 17:35:44,996 ERROR: Encountered non-finite generator loss at iter 9166; skipping update. +2025-10-31 17:35:44,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:44,998 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:44,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:44,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:45,001 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:45,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:45,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:45,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:45,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.39, mean=-0.2952, std=3.404, absmax=13.25 +2025-10-31 17:35:45,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.411, mean=-0.2954, std=2.789, absmax=10.43 +2025-10-31 17:35:45,498 ERROR: Encountered non-finite generator loss at iter 9167; skipping update. +2025-10-31 17:35:45,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:45,500 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:45,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:45,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:45,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:45,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:45,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:45,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:45,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.76, mean=-0.2417, std=3.057, absmax=12.76 +2025-10-31 17:35:45,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.12, mean=-0.2213, std=2.516, absmax=10.34 +2025-10-31 17:35:45,998 ERROR: Encountered non-finite generator loss at iter 9168; skipping update. +2025-10-31 17:35:45,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,003 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,004 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:46,005 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:46,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13, mean=-0.1809, std=3.084, absmax=13.26 +2025-10-31 17:35:46,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=10.26, mean=-0.1554, std=2.555, absmax=11.22 +2025-10-31 17:35:46,499 ERROR: Encountered non-finite generator loss at iter 9169; skipping update. +2025-10-31 17:35:46,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:46,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:46,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:46,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:46,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.26, mean=-0.05889, std=2.977, absmax=13.26 +2025-10-31 17:35:46,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=11.56, mean=-0.1267, std=2.609, absmax=11.56 +2025-10-31 17:35:47,001 ERROR: Encountered non-finite generator loss at iter 9170; skipping update. +2025-10-31 17:35:47,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:47,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:47,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.82, mean=-0.08278, std=3.213, absmax=13.94 +2025-10-31 17:35:47,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.688, max=11.41, mean=-0.08147, std=2.725, absmax=11.41 +2025-10-31 17:35:47,506 ERROR: Encountered non-finite generator loss at iter 9171; skipping update. +2025-10-31 17:35:47,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,510 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,511 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,512 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:47,513 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:47,514 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:47,515 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:47,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.38, mean=-0.3367, std=2.718, absmax=12.83 +2025-10-31 17:35:47,517 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.552, max=8.077, mean=-0.3235, std=2.38, absmax=9.552 +2025-10-31 17:35:48,011 ERROR: Encountered non-finite generator loss at iter 9172; skipping update. +2025-10-31 17:35:48,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,013 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,014 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,014 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,014 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:48,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:48,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=12.53, mean=-0.2799, std=3.193, absmax=14.46 +2025-10-31 17:35:48,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.475, mean=-0.2315, std=2.643, absmax=10.67 +2025-10-31 17:35:48,512 ERROR: Encountered non-finite generator loss at iter 9173; skipping update. +2025-10-31 17:35:48,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:48,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:48,520 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:48,521 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:48,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.8, mean=-0.2746, std=2.924, absmax=13.8 +2025-10-31 17:35:48,523 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.34, mean=-0.245, std=2.352, absmax=11.19 +2025-10-31 17:35:49,016 ERROR: Encountered non-finite generator loss at iter 9174; skipping update. +2025-10-31 17:35:49,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,019 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:49,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:49,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.94, mean=0.01095, std=3.388, absmax=13.94 +2025-10-31 17:35:49,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.288, max=9.312, mean=-0.01795, std=2.734, absmax=9.312 +2025-10-31 17:35:49,520 ERROR: Encountered non-finite generator loss at iter 9175; skipping update. +2025-10-31 17:35:49,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:49,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:49,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:49,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:49,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=13.76, mean=-0.07406, std=2.958, absmax=13.76 +2025-10-31 17:35:49,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.16, max=11.39, mean=-0.07959, std=2.607, absmax=11.39 +2025-10-31 17:35:50,024 ERROR: Encountered non-finite generator loss at iter 9176; skipping update. +2025-10-31 17:35:50,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:50,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:50,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.11, mean=-0.0823, std=2.774, absmax=13.11 +2025-10-31 17:35:50,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.764, max=7.991, mean=-0.08849, std=2.286, absmax=8.764 +2025-10-31 17:35:50,527 ERROR: Encountered non-finite generator loss at iter 9177; skipping update. +2025-10-31 17:35:50,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:50,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:50,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:50,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:50,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.22, mean=-0.2786, std=2.89, absmax=13.65 +2025-10-31 17:35:50,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.721, mean=-0.2757, std=2.477, absmax=10.67 +2025-10-31 17:35:51,028 ERROR: Encountered non-finite generator loss at iter 9178; skipping update. +2025-10-31 17:35:51,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,033 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,034 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,035 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,036 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:51,037 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:51,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.47, mean=0.01865, std=3.408, absmax=14.47 +2025-10-31 17:35:51,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.878, max=14.02, mean=0.01457, std=2.864, absmax=14.02 +2025-10-31 17:35:51,533 ERROR: Encountered non-finite generator loss at iter 9179; skipping update. +2025-10-31 17:35:51,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,535 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,536 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,536 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,537 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:51,538 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:51,539 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:51,540 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:51,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=15.97, mean=-0.178, std=2.666, absmax=16.4 +2025-10-31 17:35:51,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.69, max=13.31, mean=-0.1353, std=2.469, absmax=13.69 +2025-10-31 17:35:52,035 ERROR: Encountered non-finite generator loss at iter 9180; skipping update. +2025-10-31 17:35:52,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:52,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:52,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=12.18, mean=-0.1536, std=3.136, absmax=14.44 +2025-10-31 17:35:52,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=10.64, mean=-0.1672, std=2.702, absmax=11.71 +2025-10-31 17:35:52,540 ERROR: Encountered non-finite generator loss at iter 9181; skipping update. +2025-10-31 17:35:52,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,542 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,543 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:52,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:52,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:52,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:52,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=15.88, mean=0.02839, std=3.769, absmax=15.88 +2025-10-31 17:35:52,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.97, mean=0.008105, std=3.148, absmax=11.97 +2025-10-31 17:35:53,042 ERROR: Encountered non-finite generator loss at iter 9182; skipping update. +2025-10-31 17:35:53,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:53,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:53,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.29, mean=-0.2207, std=2.68, absmax=11.75 +2025-10-31 17:35:53,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.538, max=9.961, mean=-0.2178, std=2.409, absmax=9.961 +2025-10-31 17:35:53,547 ERROR: Encountered non-finite generator loss at iter 9183; skipping update. +2025-10-31 17:35:53,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,550 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:53,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:53,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:53,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:53,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=15.13, mean=-0.2457, std=3.297, absmax=15.13 +2025-10-31 17:35:53,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.94, max=10.58, mean=-0.2292, std=2.842, absmax=12.94 +2025-10-31 17:35:54,051 ERROR: Encountered non-finite generator loss at iter 9184; skipping update. +2025-10-31 17:35:54,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,054 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,058 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,059 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:54,060 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:54,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.56, mean=-0.1807, std=2.903, absmax=12.56 +2025-10-31 17:35:54,062 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.8, max=9.888, mean=-0.1741, std=2.541, absmax=9.888 +2025-10-31 17:35:54,555 ERROR: Encountered non-finite generator loss at iter 9185; skipping update. +2025-10-31 17:35:54,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:54,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:54,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:54,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:54,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.58, max=12.61, mean=-0.1453, std=2.58, absmax=12.61 +2025-10-31 17:35:54,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.536, max=8.07, mean=-0.1954, std=2.272, absmax=9.536 +2025-10-31 17:35:55,057 ERROR: Encountered non-finite generator loss at iter 9186; skipping update. +2025-10-31 17:35:55,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,060 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,060 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,061 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,062 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:55,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:55,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12, mean=-0.3025, std=3.174, absmax=13.38 +2025-10-31 17:35:55,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=8.545, mean=-0.2876, std=2.591, absmax=11.29 +2025-10-31 17:35:55,559 ERROR: Encountered non-finite generator loss at iter 9187; skipping update. +2025-10-31 17:35:55,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,562 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,563 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,564 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:55,565 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:55,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:55,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:55,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=17.17, mean=0.05799, std=3.501, absmax=17.17 +2025-10-31 17:35:55,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.37, mean=0.05166, std=2.854, absmax=11.37 +2025-10-31 17:35:56,062 ERROR: Encountered non-finite generator loss at iter 9188; skipping update. +2025-10-31 17:35:56,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:56,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:56,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.24, mean=-0.02062, std=3.589, absmax=14.24 +2025-10-31 17:35:56,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=12.63, mean=-0.03166, std=3.139, absmax=12.63 +2025-10-31 17:35:56,565 ERROR: Encountered non-finite generator loss at iter 9189; skipping update. +2025-10-31 17:35:56,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,568 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:56,569 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:56,570 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:56,571 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:56,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=13.55, mean=-0.06338, std=2.697, absmax=14.49 +2025-10-31 17:35:56,573 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=10.06, mean=-0.103, std=2.252, absmax=10.08 +2025-10-31 17:35:57,066 ERROR: Encountered non-finite generator loss at iter 9190; skipping update. +2025-10-31 17:35:57,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:57,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:57,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.32, mean=-0.3186, std=3.117, absmax=12.44 +2025-10-31 17:35:57,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.526, max=8.621, mean=-0.285, std=2.511, absmax=9.526 +2025-10-31 17:35:57,570 ERROR: Encountered non-finite generator loss at iter 9191; skipping update. +2025-10-31 17:35:57,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,575 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:57,576 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:57,577 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:57,578 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:57,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.54, mean=-0.2634, std=3.254, absmax=14.54 +2025-10-31 17:35:57,580 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13, max=12.08, mean=-0.2346, std=2.719, absmax=13 +2025-10-31 17:35:58,074 ERROR: Encountered non-finite generator loss at iter 9192; skipping update. +2025-10-31 17:35:58,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,077 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,077 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:58,082 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:58,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=13.47, mean=-0.1882, std=3.396, absmax=15.64 +2025-10-31 17:35:58,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=9.887, mean=-0.1684, std=2.901, absmax=12.01 +2025-10-31 17:35:58,577 ERROR: Encountered non-finite generator loss at iter 9193; skipping update. +2025-10-31 17:35:58,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,582 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:58,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:58,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:58,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:58,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.49, mean=-0.1452, std=2.533, absmax=13.01 +2025-10-31 17:35:58,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.007, mean=-0.1363, std=2.181, absmax=10.01 +2025-10-31 17:35:59,079 ERROR: Encountered non-finite generator loss at iter 9194; skipping update. +2025-10-31 17:35:59,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:59,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:59,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.96, mean=-0.2259, std=3.077, absmax=12.96 +2025-10-31 17:35:59,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.026, mean=-0.2382, std=2.581, absmax=10.83 +2025-10-31 17:35:59,583 ERROR: Encountered non-finite generator loss at iter 9195; skipping update. +2025-10-31 17:35:59,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:35:59,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:35:59,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:35:59,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:35:59,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=11.83, mean=-0.1774, std=2.653, absmax=11.83 +2025-10-31 17:35:59,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.97, max=9.324, mean=-0.1571, std=2.243, absmax=9.97 +2025-10-31 17:36:00,085 ERROR: Encountered non-finite generator loss at iter 9196; skipping update. +2025-10-31 17:36:00,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:00,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:00,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=10.74, mean=-0.0644, std=2.526, absmax=11.27 +2025-10-31 17:36:00,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.804, max=7.784, mean=-0.1156, std=2.237, absmax=9.804 +2025-10-31 17:36:00,587 ERROR: Encountered non-finite generator loss at iter 9197; skipping update. +2025-10-31 17:36:00,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,592 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,593 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,594 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:00,595 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:00,596 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:00,597 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:00,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=11.7, mean=-0.09068, std=3.386, absmax=14.37 +2025-10-31 17:36:00,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.687, mean=-0.08243, std=2.869, absmax=11.21 +2025-10-31 17:36:01,091 ERROR: Encountered non-finite generator loss at iter 9198; skipping update. +2025-10-31 17:36:01,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,093 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,096 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,097 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:01,098 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:01,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.69, mean=0.001239, std=2.942, absmax=12.69 +2025-10-31 17:36:01,100 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.123, max=10.13, mean=-0.01076, std=2.615, absmax=10.13 +2025-10-31 17:36:01,594 ERROR: Encountered non-finite generator loss at iter 9199; skipping update. +2025-10-31 17:36:01,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,598 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:01,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:01,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:01,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:01,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.94, mean=-0.3227, std=2.708, absmax=13.28 +2025-10-31 17:36:01,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=8.133, mean=-0.2846, std=2.318, absmax=11 +2025-10-31 17:36:02,098 ERROR: Encountered non-finite generator loss at iter 9200; skipping update. +2025-10-31 17:36:02,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,100 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,101 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,102 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,103 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,104 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,105 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:02,106 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:02,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.22, mean=-0.09775, std=3.41, absmax=13.22 +2025-10-31 17:36:02,108 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=11.09, mean=-0.06861, std=2.838, absmax=11.09 +2025-10-31 17:36:02,109 INFO: [29..][epoch: 0, step: 9,200, lr:(1.500e-04,)] [eta: 1 day, 16:08:18, time (data): 0.503 (0.000)] +2025-10-31 17:36:02,601 ERROR: Encountered non-finite generator loss at iter 9201; skipping update. +2025-10-31 17:36:02,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:02,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:02,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:02,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:02,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.56, mean=-0.1552, std=3.225, absmax=13.56 +2025-10-31 17:36:02,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.662, max=11.28, mean=-0.1369, std=2.826, absmax=11.28 +2025-10-31 17:36:03,101 ERROR: Encountered non-finite generator loss at iter 9202; skipping update. +2025-10-31 17:36:03,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:03,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:03,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.55, mean=-0.3664, std=2.714, absmax=15.55 +2025-10-31 17:36:03,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.236, max=10.69, mean=-0.3192, std=2.271, absmax=10.69 +2025-10-31 17:36:03,603 ERROR: Encountered non-finite generator loss at iter 9203; skipping update. +2025-10-31 17:36:03,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:03,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:03,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:03,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:03,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.03, mean=0.06929, std=3.167, absmax=12.03 +2025-10-31 17:36:03,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.275, max=9.323, mean=0.05278, std=2.479, absmax=9.323 +2025-10-31 17:36:04,106 ERROR: Encountered non-finite generator loss at iter 9204; skipping update. +2025-10-31 17:36:04,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:04,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:04,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=12.89, mean=-0.02586, std=3.626, absmax=15.66 +2025-10-31 17:36:04,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.67, mean=-0.02523, std=2.999, absmax=10.67 +2025-10-31 17:36:04,606 ERROR: Encountered non-finite generator loss at iter 9205; skipping update. +2025-10-31 17:36:04,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,609 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,609 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,612 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:04,612 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:04,613 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:04,614 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:04,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.78, mean=-0.05713, std=3.381, absmax=14.78 +2025-10-31 17:36:04,616 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=12.34, mean=-0.05914, std=2.963, absmax=12.34 +2025-10-31 17:36:05,108 ERROR: Encountered non-finite generator loss at iter 9206; skipping update. +2025-10-31 17:36:05,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,110 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,111 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,111 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:05,114 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:05,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=10.92, mean=-0.3056, std=2.654, absmax=12.06 +2025-10-31 17:36:05,116 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.616, max=8.219, mean=-0.2977, std=2.147, absmax=9.616 +2025-10-31 17:36:05,609 ERROR: Encountered non-finite generator loss at iter 9207; skipping update. +2025-10-31 17:36:05,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,612 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,613 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,614 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:05,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:05,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:05,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:05,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=10.24, mean=-0.1648, std=2.6, absmax=11.49 +2025-10-31 17:36:05,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.522, max=8.065, mean=-0.1482, std=2.366, absmax=8.522 +2025-10-31 17:36:06,112 ERROR: Encountered non-finite generator loss at iter 9208; skipping update. +2025-10-31 17:36:06,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,116 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:06,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:06,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.83, mean=-0.2451, std=2.915, absmax=13.83 +2025-10-31 17:36:06,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.15, mean=-0.2627, std=2.497, absmax=10.64 +2025-10-31 17:36:06,614 ERROR: Encountered non-finite generator loss at iter 9209; skipping update. +2025-10-31 17:36:06,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:06,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:06,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:06,622 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:06,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.88, mean=0.01433, std=3.106, absmax=13.88 +2025-10-31 17:36:06,624 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=10.59, mean=0.01172, std=2.673, absmax=10.59 +2025-10-31 17:36:07,116 ERROR: Encountered non-finite generator loss at iter 9210; skipping update. +2025-10-31 17:36:07,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,118 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,119 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:07,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:07,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.17, mean=-0.1973, std=3.264, absmax=15.17 +2025-10-31 17:36:07,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=12, mean=-0.1611, std=2.785, absmax=12 +2025-10-31 17:36:07,627 ERROR: Encountered non-finite generator loss at iter 9211; skipping update. +2025-10-31 17:36:07,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,630 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,632 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:07,633 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:07,634 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:07,635 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:07,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.66, mean=-0.06051, std=3.297, absmax=12.09 +2025-10-31 17:36:07,637 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=9.61, mean=-0.07873, std=2.548, absmax=9.61 +2025-10-31 17:36:08,130 ERROR: Encountered non-finite generator loss at iter 9212; skipping update. +2025-10-31 17:36:08,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,133 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,134 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:08,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:08,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=17.61, mean=-0.04077, std=3.583, absmax=17.61 +2025-10-31 17:36:08,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=12.05, mean=-0.09806, std=2.896, absmax=12.05 +2025-10-31 17:36:08,633 ERROR: Encountered non-finite generator loss at iter 9213; skipping update. +2025-10-31 17:36:08,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:08,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:08,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:08,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:08,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.42, mean=0.1146, std=3.989, absmax=14.42 +2025-10-31 17:36:08,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=12.5, mean=0.08862, std=3.405, absmax=12.5 +2025-10-31 17:36:09,136 ERROR: Encountered non-finite generator loss at iter 9214; skipping update. +2025-10-31 17:36:09,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:09,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:09,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.96, mean=-0.1976, std=2.82, absmax=13.96 +2025-10-31 17:36:09,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.23, mean=-0.2044, std=2.361, absmax=10.33 +2025-10-31 17:36:09,639 ERROR: Encountered non-finite generator loss at iter 9215; skipping update. +2025-10-31 17:36:09,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,641 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:09,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:09,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:09,646 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:09,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.65, mean=-0.3238, std=2.849, absmax=14.65 +2025-10-31 17:36:09,648 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=9.717, mean=-0.3139, std=2.371, absmax=10.07 +2025-10-31 17:36:10,141 ERROR: Encountered non-finite generator loss at iter 9216; skipping update. +2025-10-31 17:36:10,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:10,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:10,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.49, mean=-0.1576, std=3.308, absmax=14.49 +2025-10-31 17:36:10,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=9.901, mean=-0.1407, std=2.699, absmax=10.38 +2025-10-31 17:36:10,644 ERROR: Encountered non-finite generator loss at iter 9217; skipping update. +2025-10-31 17:36:10,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,647 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:10,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:10,651 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:10,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:10,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=11.27, mean=-0.06256, std=2.774, absmax=11.32 +2025-10-31 17:36:10,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.356, max=10.5, mean=-0.0512, std=2.458, absmax=10.5 +2025-10-31 17:36:11,148 ERROR: Encountered non-finite generator loss at iter 9218; skipping update. +2025-10-31 17:36:11,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:11,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:11,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=10.48, mean=-0.2772, std=2.195, absmax=13.83 +2025-10-31 17:36:11,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.652, max=7.479, mean=-0.2561, std=1.897, absmax=8.652 +2025-10-31 17:36:11,652 ERROR: Encountered non-finite generator loss at iter 9219; skipping update. +2025-10-31 17:36:11,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:11,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:11,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:11,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:11,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=10.14, mean=-0.2395, std=2.731, absmax=12.48 +2025-10-31 17:36:11,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.595, max=7.955, mean=-0.2589, std=2.269, absmax=9.595 +2025-10-31 17:36:12,154 ERROR: Encountered non-finite generator loss at iter 9220; skipping update. +2025-10-31 17:36:12,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:12,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:12,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.97, mean=-0.0533, std=3.359, absmax=13.44 +2025-10-31 17:36:12,164 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=9.929, mean=-0.09314, std=2.743, absmax=11.73 +2025-10-31 17:36:12,657 ERROR: Encountered non-finite generator loss at iter 9221; skipping update. +2025-10-31 17:36:12,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:12,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:12,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:12,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:12,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.15, mean=-0.1088, std=2.951, absmax=13.78 +2025-10-31 17:36:12,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.638, max=11.55, mean=-0.129, std=2.521, absmax=11.55 +2025-10-31 17:36:13,161 ERROR: Encountered non-finite generator loss at iter 9222; skipping update. +2025-10-31 17:36:13,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:13,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:13,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.95, mean=-0.06991, std=2.892, absmax=12.03 +2025-10-31 17:36:13,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.508, max=9.316, mean=-0.119, std=2.314, absmax=9.316 +2025-10-31 17:36:13,665 ERROR: Encountered non-finite generator loss at iter 9223; skipping update. +2025-10-31 17:36:13,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,668 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,669 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,670 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:13,671 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:13,672 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:13,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:13,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.56, mean=-0.1281, std=3.092, absmax=13.15 +2025-10-31 17:36:13,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=10.06, mean=-0.1248, std=2.59, absmax=10.49 +2025-10-31 17:36:14,169 ERROR: Encountered non-finite generator loss at iter 9224; skipping update. +2025-10-31 17:36:14,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,173 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,174 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:14,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:14,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=15.71, mean=0.05278, std=3.358, absmax=15.71 +2025-10-31 17:36:14,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=11.13, mean=0.03039, std=2.815, absmax=11.13 +2025-10-31 17:36:14,674 ERROR: Encountered non-finite generator loss at iter 9225; skipping update. +2025-10-31 17:36:14,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,676 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,677 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:14,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:14,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:14,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:14,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.27, mean=-0.2745, std=2.794, absmax=13.67 +2025-10-31 17:36:14,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=9.067, mean=-0.2315, std=2.324, absmax=11.59 +2025-10-31 17:36:15,175 ERROR: Encountered non-finite generator loss at iter 9226; skipping update. +2025-10-31 17:36:15,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,178 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,183 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:15,184 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:15,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.27, mean=-0.1203, std=3.307, absmax=14.27 +2025-10-31 17:36:15,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.33, mean=-0.1418, std=2.819, absmax=10.9 +2025-10-31 17:36:15,680 ERROR: Encountered non-finite generator loss at iter 9227; skipping update. +2025-10-31 17:36:15,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,683 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,684 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,685 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:15,686 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:15,687 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:15,688 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:15,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.31, mean=-0.1365, std=3.109, absmax=12.31 +2025-10-31 17:36:15,690 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.133, max=10.35, mean=-0.1419, std=2.56, absmax=10.35 +2025-10-31 17:36:16,183 ERROR: Encountered non-finite generator loss at iter 9228; skipping update. +2025-10-31 17:36:16,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:16,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:16,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=10.81, mean=-0.2174, std=2.35, absmax=10.81 +2025-10-31 17:36:16,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.179, max=7.77, mean=-0.1816, std=2.002, absmax=8.179 +2025-10-31 17:36:16,686 ERROR: Encountered non-finite generator loss at iter 9229; skipping update. +2025-10-31 17:36:16,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,689 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,691 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:16,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:16,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:16,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:16,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=14.65, mean=-0.05558, std=3.126, absmax=14.65 +2025-10-31 17:36:16,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=12.8, mean=-0.07195, std=2.723, absmax=12.8 +2025-10-31 17:36:17,190 ERROR: Encountered non-finite generator loss at iter 9230; skipping update. +2025-10-31 17:36:17,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:17,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:17,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=12.56, mean=-0.05832, std=3.378, absmax=14.12 +2025-10-31 17:36:17,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.65, max=11.68, mean=-0.0797, std=2.98, absmax=12.65 +2025-10-31 17:36:17,697 ERROR: Encountered non-finite generator loss at iter 9231; skipping update. +2025-10-31 17:36:17,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,702 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:17,703 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:17,704 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:17,705 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:17,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.16, mean=-0.1563, std=2.871, absmax=13.16 +2025-10-31 17:36:17,707 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.263, max=8.375, mean=-0.1701, std=2.26, absmax=9.263 +2025-10-31 17:36:18,201 ERROR: Encountered non-finite generator loss at iter 9232; skipping update. +2025-10-31 17:36:18,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,207 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:18,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:18,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.36, mean=-0.1021, std=2.867, absmax=13.36 +2025-10-31 17:36:18,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.099, max=11.88, mean=-0.08441, std=2.456, absmax=11.88 +2025-10-31 17:36:18,706 ERROR: Encountered non-finite generator loss at iter 9233; skipping update. +2025-10-31 17:36:18,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,709 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,710 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,710 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,711 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:18,712 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:18,713 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:18,714 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:18,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=15.17, mean=0.2154, std=3.657, absmax=15.17 +2025-10-31 17:36:18,716 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=12.45, mean=0.1153, std=2.999, absmax=12.45 +2025-10-31 17:36:19,211 ERROR: Encountered non-finite generator loss at iter 9234; skipping update. +2025-10-31 17:36:19,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,214 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:19,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:19,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.35, mean=-0.2511, std=2.987, absmax=13.35 +2025-10-31 17:36:19,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.641, max=9.352, mean=-0.2623, std=2.386, absmax=9.641 +2025-10-31 17:36:19,718 ERROR: Encountered non-finite generator loss at iter 9235; skipping update. +2025-10-31 17:36:19,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:19,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:19,725 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:19,726 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:19,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.54, mean=0.02961, std=3.23, absmax=13.14 +2025-10-31 17:36:19,728 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.277, max=10.19, mean=0.005992, std=2.617, absmax=10.19 +2025-10-31 17:36:20,223 ERROR: Encountered non-finite generator loss at iter 9236; skipping update. +2025-10-31 17:36:20,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:20,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:20,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.85, mean=-0.329, std=2.657, absmax=12.85 +2025-10-31 17:36:20,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.94, max=8.23, mean=-0.3, std=2.229, absmax=9.94 +2025-10-31 17:36:20,728 ERROR: Encountered non-finite generator loss at iter 9237; skipping update. +2025-10-31 17:36:20,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,731 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:20,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:20,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:20,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:20,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.47, mean=0.004847, std=2.76, absmax=12.47 +2025-10-31 17:36:20,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.458, max=11.01, mean=-0.03839, std=2.401, absmax=11.01 +2025-10-31 17:36:21,235 ERROR: Encountered non-finite generator loss at iter 9238; skipping update. +2025-10-31 17:36:21,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,239 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,240 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:21,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:21,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.55, mean=-0.1281, std=2.62, absmax=12.55 +2025-10-31 17:36:21,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=7.971, mean=-0.1659, std=2.131, absmax=9.165 +2025-10-31 17:36:21,740 ERROR: Encountered non-finite generator loss at iter 9239; skipping update. +2025-10-31 17:36:21,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,741 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:21,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:21,746 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:21,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:21,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=16.72, mean=-0.1263, std=3.372, absmax=16.72 +2025-10-31 17:36:21,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=12.56, mean=-0.1217, std=2.745, absmax=12.56 +2025-10-31 17:36:22,245 ERROR: Encountered non-finite generator loss at iter 9240; skipping update. +2025-10-31 17:36:22,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:22,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:22,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.69, mean=-0.06164, std=2.755, absmax=12.31 +2025-10-31 17:36:22,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.722, max=8.511, mean=-0.08446, std=2.134, absmax=8.722 +2025-10-31 17:36:22,747 ERROR: Encountered non-finite generator loss at iter 9241; skipping update. +2025-10-31 17:36:22,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:22,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:22,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:22,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:22,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=14.29, mean=0.09558, std=3.461, absmax=14.84 +2025-10-31 17:36:22,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.404, max=11.58, mean=0.09003, std=2.916, absmax=11.58 +2025-10-31 17:36:23,252 ERROR: Encountered non-finite generator loss at iter 9242; skipping update. +2025-10-31 17:36:23,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,255 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,258 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:23,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:23,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.27, mean=-0.1301, std=3.028, absmax=14.27 +2025-10-31 17:36:23,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.585, max=11.5, mean=-0.126, std=2.633, absmax=11.5 +2025-10-31 17:36:23,758 ERROR: Encountered non-finite generator loss at iter 9243; skipping update. +2025-10-31 17:36:23,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:23,764 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:23,765 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:23,766 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:23,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.5, mean=-0.1015, std=3.256, absmax=13.5 +2025-10-31 17:36:23,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=10.84, mean=-0.1102, std=2.771, absmax=11.18 +2025-10-31 17:36:24,261 ERROR: Encountered non-finite generator loss at iter 9244; skipping update. +2025-10-31 17:36:24,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,264 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,265 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:24,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:24,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=12.31, mean=-0.3641, std=3.36, absmax=15.52 +2025-10-31 17:36:24,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.15, max=9.454, mean=-0.3674, std=2.872, absmax=14.15 +2025-10-31 17:36:24,766 ERROR: Encountered non-finite generator loss at iter 9245; skipping update. +2025-10-31 17:36:24,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,769 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:24,773 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:24,774 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:24,775 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:24,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=13.53, mean=-0.04177, std=3.231, absmax=15.38 +2025-10-31 17:36:24,777 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.445, max=12.56, mean=-0.07397, std=2.699, absmax=12.56 +2025-10-31 17:36:25,271 ERROR: Encountered non-finite generator loss at iter 9246; skipping update. +2025-10-31 17:36:25,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,274 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:25,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:25,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.91, max=16.4, mean=-0.1753, std=3.336, absmax=16.4 +2025-10-31 17:36:25,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.52, max=9.757, mean=-0.1156, std=2.889, absmax=13.52 +2025-10-31 17:36:25,796 ERROR: Encountered non-finite generator loss at iter 9247; skipping update. +2025-10-31 17:36:25,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,799 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,800 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,801 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,802 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:25,803 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:25,804 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:25,805 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:25,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=15.31, mean=-0.1596, std=3.062, absmax=15.31 +2025-10-31 17:36:25,807 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.709, mean=-0.1911, std=2.604, absmax=10.34 +2025-10-31 17:36:26,302 ERROR: Encountered non-finite generator loss at iter 9248; skipping update. +2025-10-31 17:36:26,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,305 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,306 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,307 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,308 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,309 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,310 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:26,311 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:26,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.99, mean=-0.1669, std=3.293, absmax=12.99 +2025-10-31 17:36:26,313 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.96, max=11.93, mean=-0.1167, std=2.911, absmax=11.93 +2025-10-31 17:36:26,807 ERROR: Encountered non-finite generator loss at iter 9249; skipping update. +2025-10-31 17:36:26,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,811 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:26,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:26,812 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:26,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:26,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=11.93, mean=-0.2742, std=2.674, absmax=11.93 +2025-10-31 17:36:26,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=9.649, mean=-0.2376, std=2.283, absmax=9.974 +2025-10-31 17:36:27,309 ERROR: Encountered non-finite generator loss at iter 9250; skipping update. +2025-10-31 17:36:27,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,312 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,313 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,315 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,316 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:27,317 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:27,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=15.37, mean=0.106, std=3.831, absmax=15.37 +2025-10-31 17:36:27,319 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=10.8, mean=0.0198, std=3.06, absmax=10.9 +2025-10-31 17:36:27,814 ERROR: Encountered non-finite generator loss at iter 9251; skipping update. +2025-10-31 17:36:27,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,816 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:27,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:27,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:27,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:27,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.13, mean=-0.2181, std=2.879, absmax=11.99 +2025-10-31 17:36:27,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.004, mean=-0.1949, std=2.456, absmax=11.03 +2025-10-31 17:36:28,318 ERROR: Encountered non-finite generator loss at iter 9252; skipping update. +2025-10-31 17:36:28,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:28,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:28,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=13.29, mean=-0.1951, std=2.445, absmax=13.29 +2025-10-31 17:36:28,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.415, max=9.48, mean=-0.1794, std=1.998, absmax=9.48 +2025-10-31 17:36:28,822 ERROR: Encountered non-finite generator loss at iter 9253; skipping update. +2025-10-31 17:36:28,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:28,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:28,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:28,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:28,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=13.88, mean=0.03681, std=3.452, absmax=13.88 +2025-10-31 17:36:28,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=11.21, mean=0.04347, std=2.914, absmax=11.36 +2025-10-31 17:36:29,328 ERROR: Encountered non-finite generator loss at iter 9254; skipping update. +2025-10-31 17:36:29,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,332 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,333 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:29,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:29,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.23, mean=-0.0439, std=3.659, absmax=14.24 +2025-10-31 17:36:29,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.06, max=10.28, mean=-0.06292, std=3.049, absmax=12.06 +2025-10-31 17:36:29,829 ERROR: Encountered non-finite generator loss at iter 9255; skipping update. +2025-10-31 17:36:29,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,832 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,832 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:29,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:29,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:29,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:29,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.6, mean=-0.2978, std=2.568, absmax=12.27 +2025-10-31 17:36:29,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.18, max=7.79, mean=-0.2811, std=2.117, absmax=9.18 +2025-10-31 17:36:30,331 ERROR: Encountered non-finite generator loss at iter 9256; skipping update. +2025-10-31 17:36:30,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,334 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,335 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,336 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,337 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,338 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:30,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:30,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.37, mean=-0.2065, std=2.968, absmax=13.37 +2025-10-31 17:36:30,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=8.793, mean=-0.2713, std=2.468, absmax=11.59 +2025-10-31 17:36:30,835 ERROR: Encountered non-finite generator loss at iter 9257; skipping update. +2025-10-31 17:36:30,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,838 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,839 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,840 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,841 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:30,842 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:30,843 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:30,844 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:30,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.21, mean=-0.2514, std=3.111, absmax=14.39 +2025-10-31 17:36:30,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.1, max=8.77, mean=-0.2374, std=2.612, absmax=13.1 +2025-10-31 17:36:31,340 ERROR: Encountered non-finite generator loss at iter 9258; skipping update. +2025-10-31 17:36:31,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:31,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:31,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.17, mean=-0.1091, std=2.973, absmax=13.17 +2025-10-31 17:36:31,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=9.888, mean=-0.1764, std=2.519, absmax=11.15 +2025-10-31 17:36:31,844 ERROR: Encountered non-finite generator loss at iter 9259; skipping update. +2025-10-31 17:36:31,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:31,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:31,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:31,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:31,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.63, mean=-0.2432, std=2.85, absmax=13 +2025-10-31 17:36:31,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.58, max=9.014, mean=-0.2188, std=2.383, absmax=12.58 +2025-10-31 17:36:32,345 ERROR: Encountered non-finite generator loss at iter 9260; skipping update. +2025-10-31 17:36:32,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:32,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:32,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=14.33, mean=-0.2114, std=3.991, absmax=15.66 +2025-10-31 17:36:32,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=13.24, mean=-0.1293, std=3.551, absmax=13.24 +2025-10-31 17:36:32,847 ERROR: Encountered non-finite generator loss at iter 9261; skipping update. +2025-10-31 17:36:32,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,850 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,851 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:32,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:32,854 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:32,855 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:32,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.25, mean=0.06145, std=3.117, absmax=13.25 +2025-10-31 17:36:32,857 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.53, max=11.26, mean=0.01188, std=2.597, absmax=11.26 +2025-10-31 17:36:33,350 ERROR: Encountered non-finite generator loss at iter 9262; skipping update. +2025-10-31 17:36:33,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:33,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:33,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.39, mean=-0.2368, std=3.17, absmax=12.6 +2025-10-31 17:36:33,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.366, mean=-0.2983, std=2.732, absmax=10.67 +2025-10-31 17:36:33,853 ERROR: Encountered non-finite generator loss at iter 9263; skipping update. +2025-10-31 17:36:33,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,855 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:33,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:33,860 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:33,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:33,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=11.53, mean=-0.1298, std=3.559, absmax=14.67 +2025-10-31 17:36:33,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=9.757, mean=-0.1358, std=3.054, absmax=12.09 +2025-10-31 17:36:34,355 ERROR: Encountered non-finite generator loss at iter 9264; skipping update. +2025-10-31 17:36:34,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,358 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,358 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,358 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,359 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:34,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:34,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.88, mean=-0.0899, std=2.65, absmax=12.02 +2025-10-31 17:36:34,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.727, max=8.75, mean=-0.08707, std=2.172, absmax=8.75 +2025-10-31 17:36:34,857 ERROR: Encountered non-finite generator loss at iter 9265; skipping update. +2025-10-31 17:36:34,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,861 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:34,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:34,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:34,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:34,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.58, mean=-0.1667, std=3.382, absmax=13.65 +2025-10-31 17:36:34,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=10.74, mean=-0.1944, std=2.979, absmax=11.07 +2025-10-31 17:36:35,360 ERROR: Encountered non-finite generator loss at iter 9266; skipping update. +2025-10-31 17:36:35,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,367 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:35,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:35,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.01, mean=-0.05144, std=2.867, absmax=13.01 +2025-10-31 17:36:35,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=11.49, mean=-0.04898, std=2.497, absmax=11.49 +2025-10-31 17:36:35,866 ERROR: Encountered non-finite generator loss at iter 9267; skipping update. +2025-10-31 17:36:35,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:35,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:35,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:35,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:35,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=11.35, mean=-0.2354, std=2.559, absmax=11.35 +2025-10-31 17:36:35,876 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.094, max=8.726, mean=-0.1963, std=2.161, absmax=9.094 +2025-10-31 17:36:36,369 ERROR: Encountered non-finite generator loss at iter 9268; skipping update. +2025-10-31 17:36:36,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:36,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:36,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.7, mean=-0.3059, std=3.391, absmax=14.7 +2025-10-31 17:36:36,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.98, max=11.63, mean=-0.3141, std=2.92, absmax=11.98 +2025-10-31 17:36:36,871 ERROR: Encountered non-finite generator loss at iter 9269; skipping update. +2025-10-31 17:36:36,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,875 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,876 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:36,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:36,879 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:36,880 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:36,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=11.65, mean=-0.1978, std=2.779, absmax=14.46 +2025-10-31 17:36:36,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.025, mean=-0.1931, std=2.372, absmax=10.2 +2025-10-31 17:36:37,376 ERROR: Encountered non-finite generator loss at iter 9270; skipping update. +2025-10-31 17:36:37,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,379 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,383 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:37,384 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:37,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.66, mean=-0.1705, std=3.312, absmax=13.66 +2025-10-31 17:36:37,386 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.93, max=11.29, mean=-0.1558, std=2.756, absmax=11.29 +2025-10-31 17:36:37,879 ERROR: Encountered non-finite generator loss at iter 9271; skipping update. +2025-10-31 17:36:37,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,884 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,885 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:37,886 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:37,887 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:37,888 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:37,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.61, mean=-0.1608, std=2.654, absmax=12.61 +2025-10-31 17:36:37,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.4, mean=-0.148, std=2.239, absmax=11.4 +2025-10-31 17:36:38,382 ERROR: Encountered non-finite generator loss at iter 9272; skipping update. +2025-10-31 17:36:38,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,386 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,387 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,388 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,389 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,390 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:38,391 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:38,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.53, mean=-0.1563, std=2.866, absmax=12.97 +2025-10-31 17:36:38,393 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.006, max=9.023, mean=-0.1584, std=2.385, absmax=9.023 +2025-10-31 17:36:38,887 ERROR: Encountered non-finite generator loss at iter 9273; skipping update. +2025-10-31 17:36:38,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,890 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,891 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,892 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:38,893 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:38,894 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:38,895 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:38,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.02, mean=-0.2609, std=3.188, absmax=12.85 +2025-10-31 17:36:38,897 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.577, max=8.921, mean=-0.2646, std=2.611, absmax=9.577 +2025-10-31 17:36:39,390 ERROR: Encountered non-finite generator loss at iter 9274; skipping update. +2025-10-31 17:36:39,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,392 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,393 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,394 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,395 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,396 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,397 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:39,398 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:39,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.68, mean=-0.2232, std=2.58, absmax=12.68 +2025-10-31 17:36:39,398 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.864, max=11.32, mean=-0.2009, std=2.131, absmax=11.32 +2025-10-31 17:36:39,893 ERROR: Encountered non-finite generator loss at iter 9275; skipping update. +2025-10-31 17:36:39,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,896 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,897 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:39,899 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:39,900 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:39,901 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:39,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13, mean=-0.1209, std=2.831, absmax=13 +2025-10-31 17:36:39,903 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.121, mean=-0.1285, std=2.319, absmax=10.62 +2025-10-31 17:36:40,396 ERROR: Encountered non-finite generator loss at iter 9276; skipping update. +2025-10-31 17:36:40,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,399 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,399 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:40,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:40,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.68, mean=-0.02702, std=2.75, absmax=14.17 +2025-10-31 17:36:40,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.807, max=11.9, mean=-0.02932, std=2.338, absmax=11.9 +2025-10-31 17:36:40,898 ERROR: Encountered non-finite generator loss at iter 9277; skipping update. +2025-10-31 17:36:40,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:40,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:40,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:40,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:40,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=11.4, mean=-0.2631, std=2.772, absmax=13.6 +2025-10-31 17:36:40,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=9.518, mean=-0.2564, std=2.383, absmax=10.24 +2025-10-31 17:36:41,401 ERROR: Encountered non-finite generator loss at iter 9278; skipping update. +2025-10-31 17:36:41,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,404 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,404 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,405 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,405 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,406 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:41,407 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:41,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.94, max=13.83, mean=-0.02122, std=2.856, absmax=15.94 +2025-10-31 17:36:41,409 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.723, mean=-0.02633, std=2.422, absmax=10.75 +2025-10-31 17:36:41,901 ERROR: Encountered non-finite generator loss at iter 9279; skipping update. +2025-10-31 17:36:41,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,904 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:41,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:41,909 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:41,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:41,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.78, max=13.99, mean=-0.006488, std=3.47, absmax=16.78 +2025-10-31 17:36:41,912 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.67, max=13.26, mean=-0.01765, std=2.819, absmax=13.67 +2025-10-31 17:36:42,405 ERROR: Encountered non-finite generator loss at iter 9280; skipping update. +2025-10-31 17:36:42,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,407 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,408 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,413 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:42,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:42,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.28, mean=-0.2324, std=2.762, absmax=14.28 +2025-10-31 17:36:42,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.646, max=11.37, mean=-0.217, std=2.382, absmax=11.37 +2025-10-31 17:36:42,911 ERROR: Encountered non-finite generator loss at iter 9281; skipping update. +2025-10-31 17:36:42,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:42,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:42,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:42,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:42,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=15.58, mean=-0.2805, std=2.992, absmax=15.65 +2025-10-31 17:36:42,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.75, max=9.835, mean=-0.2708, std=2.398, absmax=11.75 +2025-10-31 17:36:43,415 ERROR: Encountered non-finite generator loss at iter 9282; skipping update. +2025-10-31 17:36:43,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,418 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,420 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:43,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:43,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.76, mean=-0.05819, std=3.051, absmax=13.76 +2025-10-31 17:36:43,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=8.494, mean=-0.1106, std=2.55, absmax=10.06 +2025-10-31 17:36:43,920 ERROR: Encountered non-finite generator loss at iter 9283; skipping update. +2025-10-31 17:36:43,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,922 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,923 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,924 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,925 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:43,926 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:43,927 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:43,928 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:43,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=16.28, mean=-0.1811, std=2.959, absmax=16.28 +2025-10-31 17:36:43,930 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=11.24, mean=-0.1368, std=2.454, absmax=11.24 +2025-10-31 17:36:44,423 ERROR: Encountered non-finite generator loss at iter 9284; skipping update. +2025-10-31 17:36:44,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,426 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,429 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,430 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,431 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:44,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:44,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=13.12, mean=-0.09766, std=2.997, absmax=14.73 +2025-10-31 17:36:44,433 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=11, mean=-0.1402, std=2.478, absmax=11 +2025-10-31 17:36:44,926 ERROR: Encountered non-finite generator loss at iter 9285; skipping update. +2025-10-31 17:36:44,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:44,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:44,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:44,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:44,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=9.604, mean=-0.414, std=3.012, absmax=14.51 +2025-10-31 17:36:44,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=7.208, mean=-0.4048, std=2.569, absmax=10.96 +2025-10-31 17:36:45,431 ERROR: Encountered non-finite generator loss at iter 9286; skipping update. +2025-10-31 17:36:45,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:45,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:45,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.8, mean=-0.007585, std=2.977, absmax=12.8 +2025-10-31 17:36:45,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.343, max=9.409, mean=-0.05809, std=2.492, absmax=9.409 +2025-10-31 17:36:45,934 ERROR: Encountered non-finite generator loss at iter 9287; skipping update. +2025-10-31 17:36:45,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,937 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,939 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:45,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:45,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:45,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:45,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.52, mean=-0.1772, std=2.583, absmax=12.52 +2025-10-31 17:36:45,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.606, max=8.911, mean=-0.1875, std=2.028, absmax=9.606 +2025-10-31 17:36:46,437 ERROR: Encountered non-finite generator loss at iter 9288; skipping update. +2025-10-31 17:36:46,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,440 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:46,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:46,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.05, mean=-0.04146, std=3.543, absmax=14.05 +2025-10-31 17:36:46,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=12.49, mean=-0.05809, std=2.969, absmax=12.49 +2025-10-31 17:36:46,940 ERROR: Encountered non-finite generator loss at iter 9289; skipping update. +2025-10-31 17:36:46,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:46,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:46,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:46,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:46,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.12, mean=-0.2304, std=2.826, absmax=13.61 +2025-10-31 17:36:46,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.839, mean=-0.2439, std=2.354, absmax=10.08 +2025-10-31 17:36:47,443 ERROR: Encountered non-finite generator loss at iter 9290; skipping update. +2025-10-31 17:36:47,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,450 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,451 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:47,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:47,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.74, mean=-0.1609, std=3.184, absmax=13.94 +2025-10-31 17:36:47,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.78, max=9.276, mean=-0.1842, std=2.594, absmax=11.78 +2025-10-31 17:36:47,947 ERROR: Encountered non-finite generator loss at iter 9291; skipping update. +2025-10-31 17:36:47,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,951 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:47,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:47,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:47,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:47,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=15.26, mean=-0.2084, std=3.354, absmax=15.26 +2025-10-31 17:36:47,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.82, max=11.84, mean=-0.188, std=2.797, absmax=12.82 +2025-10-31 17:36:48,451 ERROR: Encountered non-finite generator loss at iter 9292; skipping update. +2025-10-31 17:36:48,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,456 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:48,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:48,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=12.06, mean=-0.1779, std=3.077, absmax=14.25 +2025-10-31 17:36:48,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.07, max=9.322, mean=-0.1568, std=2.759, absmax=13.07 +2025-10-31 17:36:48,955 ERROR: Encountered non-finite generator loss at iter 9293; skipping update. +2025-10-31 17:36:48,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,960 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,961 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:48,962 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:48,963 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:48,964 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:48,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.65, mean=-0.2547, std=3.384, absmax=14.65 +2025-10-31 17:36:48,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=10.62, mean=-0.2829, std=2.704, absmax=11.58 +2025-10-31 17:36:49,459 ERROR: Encountered non-finite generator loss at iter 9294; skipping update. +2025-10-31 17:36:49,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,463 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,464 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,465 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,466 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,467 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:49,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:49,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=11.84, mean=-0.2426, std=2.928, absmax=14.88 +2025-10-31 17:36:49,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=8.789, mean=-0.2075, std=2.415, absmax=10.07 +2025-10-31 17:36:49,964 ERROR: Encountered non-finite generator loss at iter 9295; skipping update. +2025-10-31 17:36:49,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,967 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,968 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,969 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,970 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:49,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:49,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:49,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:49,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.08, mean=-0.03103, std=3.066, absmax=13 +2025-10-31 17:36:49,975 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=11.14, mean=-0.05066, std=2.604, absmax=11.14 +2025-10-31 17:36:50,468 ERROR: Encountered non-finite generator loss at iter 9296; skipping update. +2025-10-31 17:36:50,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:50,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:50,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=14.72, mean=-0.1258, std=2.905, absmax=14.72 +2025-10-31 17:36:50,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.924, max=10.38, mean=-0.1101, std=2.27, absmax=10.38 +2025-10-31 17:36:50,971 ERROR: Encountered non-finite generator loss at iter 9297; skipping update. +2025-10-31 17:36:50,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:50,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:50,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:50,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:50,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.89, mean=-0.2313, std=2.439, absmax=12.89 +2025-10-31 17:36:50,981 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.574, max=8.287, mean=-0.2467, std=2.05, absmax=8.574 +2025-10-31 17:36:51,473 ERROR: Encountered non-finite generator loss at iter 9298; skipping update. +2025-10-31 17:36:51,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:51,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:51,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.84, mean=-0.1325, std=2.971, absmax=12.84 +2025-10-31 17:36:51,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.07, mean=-0.1329, std=2.42, absmax=10.35 +2025-10-31 17:36:51,977 ERROR: Encountered non-finite generator loss at iter 9299; skipping update. +2025-10-31 17:36:51,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:51,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:51,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:51,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:51,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.79, mean=-0.1907, std=2.934, absmax=12.79 +2025-10-31 17:36:51,987 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=9.495, mean=-0.2206, std=2.56, absmax=10.54 +2025-10-31 17:36:52,478 ERROR: Encountered non-finite generator loss at iter 9300; skipping update. +2025-10-31 17:36:52,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,484 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:52,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:52,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.66, mean=-0.2252, std=2.964, absmax=12.87 +2025-10-31 17:36:52,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.446, max=8.998, mean=-0.2524, std=2.578, absmax=9.446 +2025-10-31 17:36:52,489 INFO: [29..][epoch: 0, step: 9,300, lr:(1.500e-04,)] [eta: 1 day, 16:03:09, time (data): 0.504 (0.000)] +2025-10-31 17:36:52,979 ERROR: Encountered non-finite generator loss at iter 9301; skipping update. +2025-10-31 17:36:52,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:52,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:52,987 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:52,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:52,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=17.6, mean=0.02998, std=3.708, absmax=17.6 +2025-10-31 17:36:52,990 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.15, max=12, mean=-0.03536, std=3.109, absmax=13.15 +2025-10-31 17:36:53,481 ERROR: Encountered non-finite generator loss at iter 9302; skipping update. +2025-10-31 17:36:53,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:53,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:53,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=18.1, mean=-0.1271, std=3.153, absmax=18.1 +2025-10-31 17:36:53,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=12.83, mean=-0.08587, std=2.773, absmax=12.83 +2025-10-31 17:36:53,981 ERROR: Encountered non-finite generator loss at iter 9303; skipping update. +2025-10-31 17:36:53,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,985 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,986 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:53,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:53,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:53,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:53,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=15.12, mean=-0.1385, std=2.742, absmax=15.12 +2025-10-31 17:36:53,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.8, max=8.81, mean=-0.1539, std=2.317, absmax=10.8 +2025-10-31 17:36:54,481 ERROR: Encountered non-finite generator loss at iter 9304; skipping update. +2025-10-31 17:36:54,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,484 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,485 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,486 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:54,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:54,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.13, mean=-0.01368, std=2.793, absmax=13.15 +2025-10-31 17:36:54,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.333, mean=-0.02921, std=2.337, absmax=10.13 +2025-10-31 17:36:54,983 ERROR: Encountered non-finite generator loss at iter 9305; skipping update. +2025-10-31 17:36:54,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,986 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:54,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:54,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:54,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:54,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=13.83, mean=-0.2042, std=3.161, absmax=15.13 +2025-10-31 17:36:54,992 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=11.47, mean=-0.1921, std=2.768, absmax=11.47 +2025-10-31 17:36:55,483 ERROR: Encountered non-finite generator loss at iter 9306; skipping update. +2025-10-31 17:36:55,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,486 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:55,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:55,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.88, mean=-0.3073, std=2.813, absmax=12.42 +2025-10-31 17:36:55,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.393, max=10.09, mean=-0.2635, std=2.276, absmax=10.09 +2025-10-31 17:36:55,985 ERROR: Encountered non-finite generator loss at iter 9307; skipping update. +2025-10-31 17:36:55,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:55,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:55,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:55,993 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:55,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=13.17, mean=-0.08859, std=2.815, absmax=13.17 +2025-10-31 17:36:55,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.11, mean=-0.1156, std=2.617, absmax=11.11 +2025-10-31 17:36:56,486 ERROR: Encountered non-finite generator loss at iter 9308; skipping update. +2025-10-31 17:36:56,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,488 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,492 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:56,494 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:56,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.92, mean=-0.1603, std=3.103, absmax=12.89 +2025-10-31 17:36:56,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=9.791, mean=-0.1628, std=2.449, absmax=9.791 +2025-10-31 17:36:56,988 ERROR: Encountered non-finite generator loss at iter 9309; skipping update. +2025-10-31 17:36:56,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,991 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,991 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,992 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:56,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:56,995 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:56,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:56,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=15.38, mean=-0.09385, std=2.969, absmax=15.38 +2025-10-31 17:36:56,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.737, max=10.36, mean=-0.06903, std=2.521, absmax=10.36 +2025-10-31 17:36:57,490 ERROR: Encountered non-finite generator loss at iter 9310; skipping update. +2025-10-31 17:36:57,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,492 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,493 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:57,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:57,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.23, mean=-0.02088, std=3.199, absmax=14.23 +2025-10-31 17:36:57,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=10.84, mean=-0.02981, std=2.637, absmax=10.84 +2025-10-31 17:36:57,991 ERROR: Encountered non-finite generator loss at iter 9311; skipping update. +2025-10-31 17:36:57,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:57,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:57,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:57,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:57,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.05, mean=-0.04821, std=2.965, absmax=14.05 +2025-10-31 17:36:58,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.937, max=12.21, mean=-0.08343, std=2.388, absmax=12.21 +2025-10-31 17:36:58,491 ERROR: Encountered non-finite generator loss at iter 9312; skipping update. +2025-10-31 17:36:58,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,494 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:58,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:58,497 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:58,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:58,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:58,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=15.99, mean=-0.007681, std=3.097, absmax=15.99 +2025-10-31 17:36:58,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=12.34, mean=-0.03052, std=2.586, absmax=12.34 +2025-10-31 17:36:58,993 ERROR: Encountered non-finite generator loss at iter 9313; skipping update. +2025-10-31 17:36:58,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,995 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:58,996 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,997 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:58,998 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:58,999 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:59,000 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:59,001 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:59,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.98, mean=-0.2262, std=2.958, absmax=14.98 +2025-10-31 17:36:59,003 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.829, mean=-0.2331, std=2.33, absmax=10.12 +2025-10-31 17:36:59,495 ERROR: Encountered non-finite generator loss at iter 9314; skipping update. +2025-10-31 17:36:59,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:59,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:36:59,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:36:59,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:36:59,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:36:59,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:36:59,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:36:59,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:36:59,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=11.23, mean=-0.2357, std=3.045, absmax=14.26 +2025-10-31 17:36:59,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=9.319, mean=-0.2322, std=2.628, absmax=11.01 +2025-10-31 17:36:59,996 ERROR: Encountered non-finite generator loss at iter 9315; skipping update. +2025-10-31 17:36:59,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:36:59,999 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:00,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,002 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:00,002 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,003 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:00,004 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:00,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.66, mean=-0.06587, std=3.348, absmax=13.8 +2025-10-31 17:37:00,007 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=12.43, mean=-0.06123, std=2.933, absmax=12.43 +2025-10-31 17:37:00,498 ERROR: Encountered non-finite generator loss at iter 9316; skipping update. +2025-10-31 17:37:00,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:00,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,501 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:00,502 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:00,504 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:00,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:00,506 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:00,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.97, max=17.42, mean=-0.06478, std=3.346, absmax=17.42 +2025-10-31 17:37:00,508 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=16.28, mean=-0.0768, std=2.87, absmax=16.28 +2025-10-31 17:37:00,999 ERROR: Encountered non-finite generator loss at iter 9317; skipping update. +2025-10-31 17:37:01,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:01,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:01,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.94, mean=-0.1888, std=2.68, absmax=12.94 +2025-10-31 17:37:01,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.359, max=8.939, mean=-0.1812, std=2.31, absmax=9.359 +2025-10-31 17:37:01,502 ERROR: Encountered non-finite generator loss at iter 9318; skipping update. +2025-10-31 17:37:01,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:01,508 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:01,509 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:01,510 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:01,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.27, mean=-0.2536, std=2.607, absmax=12.27 +2025-10-31 17:37:01,512 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.468, max=8.406, mean=-0.2675, std=2.138, absmax=9.468 +2025-10-31 17:37:02,003 ERROR: Encountered non-finite generator loss at iter 9319; skipping update. +2025-10-31 17:37:02,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,009 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:02,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:02,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.2, mean=-0.01379, std=3.226, absmax=13.2 +2025-10-31 17:37:02,013 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.537, max=11.21, mean=-0.03989, std=2.662, absmax=11.21 +2025-10-31 17:37:02,505 ERROR: Encountered non-finite generator loss at iter 9320; skipping update. +2025-10-31 17:37:02,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,508 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:02,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:02,511 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:02,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:02,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.72, mean=-0.1321, std=2.233, absmax=13.51 +2025-10-31 17:37:02,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.248, max=9.046, mean=-0.1211, std=2.026, absmax=9.248 +2025-10-31 17:37:03,006 ERROR: Encountered non-finite generator loss at iter 9321; skipping update. +2025-10-31 17:37:03,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,008 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,009 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,011 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,012 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:03,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:03,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=16.86, mean=-0.2171, std=2.945, absmax=16.86 +2025-10-31 17:37:03,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.909, max=11.89, mean=-0.1627, std=2.454, absmax=11.89 +2025-10-31 17:37:03,510 ERROR: Encountered non-finite generator loss at iter 9322; skipping update. +2025-10-31 17:37:03,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,512 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:03,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:03,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:03,516 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:03,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=14.82, mean=-0.2969, std=3.097, absmax=14.82 +2025-10-31 17:37:03,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.793, mean=-0.2913, std=2.596, absmax=11.2 +2025-10-31 17:37:04,011 ERROR: Encountered non-finite generator loss at iter 9323; skipping update. +2025-10-31 17:37:04,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:04,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:04,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.82, mean=0.06743, std=3.228, absmax=14.82 +2025-10-31 17:37:04,022 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=10.11, mean=0.04135, std=2.589, absmax=10.11 +2025-10-31 17:37:04,515 ERROR: Encountered non-finite generator loss at iter 9324; skipping update. +2025-10-31 17:37:04,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:04,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:04,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:04,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:04,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.06, mean=-0.3086, std=2.99, absmax=15.06 +2025-10-31 17:37:04,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=10.42, mean=-0.2223, std=2.494, absmax=10.79 +2025-10-31 17:37:05,019 ERROR: Encountered non-finite generator loss at iter 9325; skipping update. +2025-10-31 17:37:05,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:05,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:05,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.02, mean=-0.241, std=2.711, absmax=13.98 +2025-10-31 17:37:05,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.82, max=7.774, mean=-0.2364, std=2.332, absmax=9.82 +2025-10-31 17:37:05,527 ERROR: Encountered non-finite generator loss at iter 9326; skipping update. +2025-10-31 17:37:05,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,532 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:05,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:05,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:05,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:05,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=15.45, mean=0.02642, std=3.13, absmax=15.45 +2025-10-31 17:37:05,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=10.5, mean=-0.02398, std=2.518, absmax=10.5 +2025-10-31 17:37:06,030 ERROR: Encountered non-finite generator loss at iter 9327; skipping update. +2025-10-31 17:37:06,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:06,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:06,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.96, mean=-0.08844, std=2.742, absmax=13.45 +2025-10-31 17:37:06,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.301, max=10.37, mean=-0.1036, std=2.356, absmax=10.37 +2025-10-31 17:37:06,538 ERROR: Encountered non-finite generator loss at iter 9328; skipping update. +2025-10-31 17:37:06,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:06,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:06,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:06,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:06,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12.28, mean=-0.112, std=2.656, absmax=14.51 +2025-10-31 17:37:06,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=8.475, mean=-0.1687, std=2.289, absmax=11.32 +2025-10-31 17:37:07,041 ERROR: Encountered non-finite generator loss at iter 9329; skipping update. +2025-10-31 17:37:07,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:07,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:07,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14.52, mean=-0.148, std=3.09, absmax=14.52 +2025-10-31 17:37:07,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=11.33, mean=-0.1484, std=2.667, absmax=11.33 +2025-10-31 17:37:07,546 ERROR: Encountered non-finite generator loss at iter 9330; skipping update. +2025-10-31 17:37:07,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,548 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,551 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,552 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:07,553 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:07,554 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:07,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:07,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.5, mean=-0.07365, std=3.158, absmax=13.31 +2025-10-31 17:37:07,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.559, mean=-0.0449, std=2.578, absmax=10.79 +2025-10-31 17:37:08,050 ERROR: Encountered non-finite generator loss at iter 9331; skipping update. +2025-10-31 17:37:08,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:08,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:08,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.15, mean=-0.02484, std=3.179, absmax=14.15 +2025-10-31 17:37:08,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=12.3, mean=-0.09073, std=2.687, absmax=12.3 +2025-10-31 17:37:08,553 ERROR: Encountered non-finite generator loss at iter 9332; skipping update. +2025-10-31 17:37:08,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,558 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:08,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:08,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:08,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:08,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=15.86, mean=-0.1081, std=3.138, absmax=15.86 +2025-10-31 17:37:08,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=10.35, mean=-0.1426, std=2.471, absmax=11.12 +2025-10-31 17:37:09,057 ERROR: Encountered non-finite generator loss at iter 9333; skipping update. +2025-10-31 17:37:09,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,059 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,068 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:09,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:09,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.21, mean=-0.2852, std=3.023, absmax=14.21 +2025-10-31 17:37:09,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.403, mean=-0.2763, std=2.568, absmax=11.67 +2025-10-31 17:37:09,563 ERROR: Encountered non-finite generator loss at iter 9334; skipping update. +2025-10-31 17:37:09,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:09,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:09,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:09,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:09,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=13.39, mean=-0.2669, std=2.885, absmax=13.39 +2025-10-31 17:37:09,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.686, max=8.4, mean=-0.243, std=2.334, absmax=9.686 +2025-10-31 17:37:10,067 ERROR: Encountered non-finite generator loss at iter 9335; skipping update. +2025-10-31 17:37:10,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,069 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,071 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,072 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:10,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:10,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.53, mean=-0.1002, std=3.414, absmax=14.53 +2025-10-31 17:37:10,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.917, max=10.43, mean=-0.1204, std=2.634, absmax=10.43 +2025-10-31 17:37:10,570 ERROR: Encountered non-finite generator loss at iter 9336; skipping update. +2025-10-31 17:37:10,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,572 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:10,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:10,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:10,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:10,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=16.4, mean=-0.1584, std=3.631, absmax=16.4 +2025-10-31 17:37:10,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.86, max=12.4, mean=-0.1746, std=3.031, absmax=12.86 +2025-10-31 17:37:11,071 ERROR: Encountered non-finite generator loss at iter 9337; skipping update. +2025-10-31 17:37:11,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,074 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,075 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:11,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:11,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.8, mean=-0.2731, std=3.15, absmax=14.13 +2025-10-31 17:37:11,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=11.11, mean=-0.21, std=2.593, absmax=11.12 +2025-10-31 17:37:11,573 ERROR: Encountered non-finite generator loss at iter 9338; skipping update. +2025-10-31 17:37:11,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:11,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:11,578 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:11,579 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:11,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.8, mean=-0.1213, std=3.324, absmax=14.8 +2025-10-31 17:37:11,581 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=13.48, mean=-0.1167, std=2.882, absmax=13.48 +2025-10-31 17:37:12,074 ERROR: Encountered non-finite generator loss at iter 9339; skipping update. +2025-10-31 17:37:12,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:12,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:12,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.36, mean=-0.06316, std=3.178, absmax=12.64 +2025-10-31 17:37:12,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.228, max=10.39, mean=-0.06997, std=2.625, absmax=10.39 +2025-10-31 17:37:12,574 ERROR: Encountered non-finite generator loss at iter 9340; skipping update. +2025-10-31 17:37:12,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,576 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,577 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:12,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:12,581 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:12,582 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:12,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=10.58, mean=-0.04542, std=3.308, absmax=13.2 +2025-10-31 17:37:12,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.23, max=11.12, mean=0.002043, std=2.946, absmax=12.23 +2025-10-31 17:37:13,076 ERROR: Encountered non-finite generator loss at iter 9341; skipping update. +2025-10-31 17:37:13,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,080 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,081 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,082 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,083 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:13,084 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:13,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.11, mean=-0.289, std=2.758, absmax=12.11 +2025-10-31 17:37:13,086 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.761, max=7.973, mean=-0.3315, std=2.457, absmax=9.761 +2025-10-31 17:37:13,577 ERROR: Encountered non-finite generator loss at iter 9342; skipping update. +2025-10-31 17:37:13,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:13,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:13,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:13,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:13,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=9.058, mean=-0.2332, std=2.37, absmax=11.61 +2025-10-31 17:37:13,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.574, max=8.756, mean=-0.2328, std=2.036, absmax=9.574 +2025-10-31 17:37:14,081 ERROR: Encountered non-finite generator loss at iter 9343; skipping update. +2025-10-31 17:37:14,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,083 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:14,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:14,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.67, mean=-0.05032, std=3.075, absmax=13.81 +2025-10-31 17:37:14,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=11, mean=-0.1012, std=2.568, absmax=11 +2025-10-31 17:37:14,582 ERROR: Encountered non-finite generator loss at iter 9344; skipping update. +2025-10-31 17:37:14,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,584 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,584 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,585 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:14,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:14,588 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:14,589 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:14,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=16.72, mean=0.01336, std=3.462, absmax=16.72 +2025-10-31 17:37:14,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.962, max=14.66, mean=-0.008625, std=2.99, absmax=14.66 +2025-10-31 17:37:15,082 ERROR: Encountered non-finite generator loss at iter 9345; skipping update. +2025-10-31 17:37:15,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,084 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:15,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:15,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=11.59, mean=-0.2042, std=2.488, absmax=11.59 +2025-10-31 17:37:15,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.62, max=7.166, mean=-0.2189, std=2.073, absmax=8.62 +2025-10-31 17:37:15,584 ERROR: Encountered non-finite generator loss at iter 9346; skipping update. +2025-10-31 17:37:15,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,587 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:15,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:15,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:15,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:15,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.24, mean=-0.2713, std=3.216, absmax=14.24 +2025-10-31 17:37:15,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.976, mean=-0.2367, std=2.761, absmax=10.79 +2025-10-31 17:37:16,085 ERROR: Encountered non-finite generator loss at iter 9347; skipping update. +2025-10-31 17:37:16,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,089 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,090 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,091 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,092 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:16,093 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:16,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.87, mean=-0.03835, std=3.283, absmax=13.08 +2025-10-31 17:37:16,095 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.857, mean=-0.03488, std=2.611, absmax=10.95 +2025-10-31 17:37:16,587 ERROR: Encountered non-finite generator loss at iter 9348; skipping update. +2025-10-31 17:37:16,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:16,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:16,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:16,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:16,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.79, mean=0.01116, std=2.678, absmax=12.79 +2025-10-31 17:37:16,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.642, max=10.91, mean=0.008332, std=2.374, absmax=10.91 +2025-10-31 17:37:17,091 ERROR: Encountered non-finite generator loss at iter 9349; skipping update. +2025-10-31 17:37:17,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,094 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,094 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,094 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,095 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,095 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,096 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:17,097 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:17,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.09, mean=-0.02507, std=2.933, absmax=12.3 +2025-10-31 17:37:17,099 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=9.015, mean=-0.07295, std=2.326, absmax=9.489 +2025-10-31 17:37:17,593 ERROR: Encountered non-finite generator loss at iter 9350; skipping update. +2025-10-31 17:37:17,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,595 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:17,598 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:17,599 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:17,600 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:17,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=15.15, mean=-0.1748, std=2.766, absmax=15.15 +2025-10-31 17:37:17,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=10.86, mean=-0.2038, std=2.226, absmax=10.86 +2025-10-31 17:37:18,094 ERROR: Encountered non-finite generator loss at iter 9351; skipping update. +2025-10-31 17:37:18,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,096 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,098 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:18,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:18,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=10.79, mean=-0.19, std=2.607, absmax=14.17 +2025-10-31 17:37:18,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.81, max=7.957, mean=-0.2032, std=2.184, absmax=8.81 +2025-10-31 17:37:18,597 ERROR: Encountered non-finite generator loss at iter 9352; skipping update. +2025-10-31 17:37:18,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:18,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:18,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:18,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:18,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=15.16, mean=0.04451, std=3.82, absmax=15.16 +2025-10-31 17:37:18,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=14.82, mean=0.06253, std=3.355, absmax=14.82 +2025-10-31 17:37:19,100 ERROR: Encountered non-finite generator loss at iter 9353; skipping update. +2025-10-31 17:37:19,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,106 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:19,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:19,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.83, mean=0.02322, std=3.661, absmax=14.83 +2025-10-31 17:37:19,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.51, max=11.16, mean=-0.004112, std=2.855, absmax=11.51 +2025-10-31 17:37:19,603 ERROR: Encountered non-finite generator loss at iter 9354; skipping update. +2025-10-31 17:37:19,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:19,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:19,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:19,611 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:19,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=13.09, mean=-0.1503, std=2.837, absmax=13.09 +2025-10-31 17:37:19,613 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.018, max=10.82, mean=-0.1922, std=2.203, absmax=10.82 +2025-10-31 17:37:20,109 ERROR: Encountered non-finite generator loss at iter 9355; skipping update. +2025-10-31 17:37:20,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,111 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,112 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,113 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,115 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,116 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:20,117 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:20,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.98, mean=-0.217, std=3.499, absmax=13.84 +2025-10-31 17:37:20,119 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=10.68, mean=-0.185, std=2.947, absmax=10.76 +2025-10-31 17:37:20,616 ERROR: Encountered non-finite generator loss at iter 9356; skipping update. +2025-10-31 17:37:20,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,619 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:20,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:20,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:20,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:20,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=10.42, mean=-0.1599, std=2.712, absmax=12.59 +2025-10-31 17:37:20,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=8.5, mean=-0.2329, std=2.292, absmax=11.11 +2025-10-31 17:37:21,120 ERROR: Encountered non-finite generator loss at iter 9357; skipping update. +2025-10-31 17:37:21,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,123 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,123 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,124 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,125 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,126 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:21,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:21,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=16.7, mean=-0.2596, std=3.428, absmax=16.7 +2025-10-31 17:37:21,129 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=12.07, mean=-0.266, std=2.805, absmax=12.07 +2025-10-31 17:37:21,622 ERROR: Encountered non-finite generator loss at iter 9358; skipping update. +2025-10-31 17:37:21,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,624 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:21,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:21,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:21,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:21,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=13.01, mean=-0.1324, std=3.083, absmax=14.37 +2025-10-31 17:37:21,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=11.07, mean=-0.1863, std=2.5, absmax=11.15 +2025-10-31 17:37:22,125 ERROR: Encountered non-finite generator loss at iter 9359; skipping update. +2025-10-31 17:37:22,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:22,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:22,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=10.88, mean=-0.1358, std=3.023, absmax=13.99 +2025-10-31 17:37:22,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=9.061, mean=-0.07144, std=2.85, absmax=11.93 +2025-10-31 17:37:22,626 ERROR: Encountered non-finite generator loss at iter 9360; skipping update. +2025-10-31 17:37:22,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:22,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:22,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:22,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:22,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11, mean=-0.2081, std=2.694, absmax=13.06 +2025-10-31 17:37:22,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.517, max=8.162, mean=-0.2004, std=2.257, absmax=9.517 +2025-10-31 17:37:23,129 ERROR: Encountered non-finite generator loss at iter 9361; skipping update. +2025-10-31 17:37:23,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:23,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:23,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=12.44, mean=0.04865, std=2.918, absmax=12.44 +2025-10-31 17:37:23,139 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.574, max=10.2, mean=0.08624, std=2.567, absmax=10.2 +2025-10-31 17:37:23,631 ERROR: Encountered non-finite generator loss at iter 9362; skipping update. +2025-10-31 17:37:23,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:23,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:23,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:23,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:23,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.82, mean=-0.01669, std=3.448, absmax=13.89 +2025-10-31 17:37:23,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=10.57, mean=-0.07328, std=2.851, absmax=11 +2025-10-31 17:37:24,135 ERROR: Encountered non-finite generator loss at iter 9363; skipping update. +2025-10-31 17:37:24,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,138 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:24,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:24,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.17, mean=-0.06497, std=3.175, absmax=12.58 +2025-10-31 17:37:24,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=10.56, mean=-0.04458, std=2.636, absmax=10.91 +2025-10-31 17:37:24,637 ERROR: Encountered non-finite generator loss at iter 9364; skipping update. +2025-10-31 17:37:24,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:24,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:24,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:24,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:24,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.16, mean=0.03545, std=3.353, absmax=13.66 +2025-10-31 17:37:24,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.919, max=10.29, mean=-0.00963, std=2.542, absmax=10.29 +2025-10-31 17:37:25,136 ERROR: Encountered non-finite generator loss at iter 9365; skipping update. +2025-10-31 17:37:25,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,142 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,144 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:25,145 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:25,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=10.63, mean=-0.262, std=2.498, absmax=13.98 +2025-10-31 17:37:25,147 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.894, max=7.196, mean=-0.2136, std=2.193, absmax=9.894 +2025-10-31 17:37:25,639 ERROR: Encountered non-finite generator loss at iter 9366; skipping update. +2025-10-31 17:37:25,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:25,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:25,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:25,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:25,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=16.56, mean=0.001682, std=3.16, absmax=16.56 +2025-10-31 17:37:25,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.571, max=10.14, mean=-0.03313, std=2.484, absmax=10.14 +2025-10-31 17:37:26,141 ERROR: Encountered non-finite generator loss at iter 9367; skipping update. +2025-10-31 17:37:26,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,144 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,146 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,147 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,148 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:26,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:26,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.55, mean=0.008577, std=3.106, absmax=13.55 +2025-10-31 17:37:26,152 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.119, max=9.744, mean=-0.03859, std=2.574, absmax=9.744 +2025-10-31 17:37:26,643 ERROR: Encountered non-finite generator loss at iter 9368; skipping update. +2025-10-31 17:37:26,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:26,647 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:26,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:26,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:26,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=11.98, mean=-0.1853, std=3.041, absmax=13.78 +2025-10-31 17:37:26,650 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=8.45, mean=-0.1413, std=2.512, absmax=11.85 +2025-10-31 17:37:27,143 ERROR: Encountered non-finite generator loss at iter 9369; skipping update. +2025-10-31 17:37:27,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,145 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,146 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,147 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,148 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,149 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,150 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:27,151 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:27,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.6, mean=0.001343, std=3.189, absmax=13.6 +2025-10-31 17:37:27,153 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.73, mean=-0.005215, std=2.597, absmax=10.73 +2025-10-31 17:37:27,645 ERROR: Encountered non-finite generator loss at iter 9370; skipping update. +2025-10-31 17:37:27,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,650 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:27,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:27,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:27,653 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:27,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.43, mean=-0.1786, std=2.604, absmax=12.34 +2025-10-31 17:37:27,655 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.87, max=8.222, mean=-0.1725, std=2.139, absmax=9.87 +2025-10-31 17:37:28,148 ERROR: Encountered non-finite generator loss at iter 9371; skipping update. +2025-10-31 17:37:28,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,150 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:28,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:28,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=15.76, mean=-0.1532, std=2.698, absmax=15.76 +2025-10-31 17:37:28,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.27, max=12.99, mean=-0.1752, std=2.222, absmax=12.99 +2025-10-31 17:37:28,651 ERROR: Encountered non-finite generator loss at iter 9372; skipping update. +2025-10-31 17:37:28,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,653 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,655 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,656 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,657 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:28,658 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:28,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:28,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:28,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.19, mean=-0.2844, std=2.819, absmax=13.19 +2025-10-31 17:37:28,661 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=10.92, mean=-0.2633, std=2.59, absmax=10.92 +2025-10-31 17:37:29,154 ERROR: Encountered non-finite generator loss at iter 9373; skipping update. +2025-10-31 17:37:29,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,160 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,163 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:29,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:29,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.45, mean=-0.1963, std=2.842, absmax=13.45 +2025-10-31 17:37:29,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.98, max=10.56, mean=-0.1762, std=2.417, absmax=10.56 +2025-10-31 17:37:29,658 ERROR: Encountered non-finite generator loss at iter 9374; skipping update. +2025-10-31 17:37:29,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:29,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:29,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:29,665 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:29,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.35, mean=-0.3184, std=2.652, absmax=11.55 +2025-10-31 17:37:29,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=8.57, mean=-0.2949, std=2.151, absmax=9.325 +2025-10-31 17:37:30,159 ERROR: Encountered non-finite generator loss at iter 9375; skipping update. +2025-10-31 17:37:30,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:30,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:30,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.74, mean=-0.0201, std=3.229, absmax=12.74 +2025-10-31 17:37:30,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=10.71, mean=-0.04061, std=2.749, absmax=10.71 +2025-10-31 17:37:30,661 ERROR: Encountered non-finite generator loss at iter 9376; skipping update. +2025-10-31 17:37:30,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,665 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:30,666 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:30,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:30,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:30,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.52, mean=0.1544, std=3.734, absmax=13.52 +2025-10-31 17:37:30,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=10.35, mean=0.09463, std=2.891, absmax=10.85 +2025-10-31 17:37:31,161 ERROR: Encountered non-finite generator loss at iter 9377; skipping update. +2025-10-31 17:37:31,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:31,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:31,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=13.6, mean=-0.2098, std=3.438, absmax=15.78 +2025-10-31 17:37:31,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=9.531, mean=-0.1994, std=2.79, absmax=12.1 +2025-10-31 17:37:31,662 ERROR: Encountered non-finite generator loss at iter 9378; skipping update. +2025-10-31 17:37:31,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:31,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:31,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:31,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:31,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.75, mean=-0.3353, std=3.571, absmax=14.22 +2025-10-31 17:37:31,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.09, max=9.892, mean=-0.28, std=3.075, absmax=13.09 +2025-10-31 17:37:32,164 ERROR: Encountered non-finite generator loss at iter 9379; skipping update. +2025-10-31 17:37:32,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:32,172 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:32,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=12.25, mean=-0.3048, std=3.082, absmax=14.93 +2025-10-31 17:37:32,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.54, max=8.331, mean=-0.2797, std=2.589, absmax=12.54 +2025-10-31 17:37:32,669 ERROR: Encountered non-finite generator loss at iter 9380; skipping update. +2025-10-31 17:37:32,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,671 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,673 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:32,674 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:32,675 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:32,676 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:32,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=16.37, mean=-0.08416, std=3.108, absmax=16.37 +2025-10-31 17:37:32,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.955, max=11.24, mean=-0.09823, std=2.696, absmax=11.24 +2025-10-31 17:37:33,171 ERROR: Encountered non-finite generator loss at iter 9381; skipping update. +2025-10-31 17:37:33,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,174 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,175 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,177 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:33,180 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:33,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.81, mean=-0.1868, std=2.924, absmax=12.39 +2025-10-31 17:37:33,182 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.129, max=10.32, mean=-0.1931, std=2.359, absmax=10.32 +2025-10-31 17:37:33,676 ERROR: Encountered non-finite generator loss at iter 9382; skipping update. +2025-10-31 17:37:33,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:33,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:33,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:33,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:33,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=10.86, mean=-0.1588, std=2.547, absmax=12.35 +2025-10-31 17:37:33,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.925, mean=-0.1502, std=2.22, absmax=10.35 +2025-10-31 17:37:34,180 ERROR: Encountered non-finite generator loss at iter 9383; skipping update. +2025-10-31 17:37:34,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,182 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:34,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:34,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=16.14, mean=-0.07074, std=2.839, absmax=16.14 +2025-10-31 17:37:34,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.299, max=11.08, mean=-0.1174, std=2.162, absmax=11.08 +2025-10-31 17:37:34,682 ERROR: Encountered non-finite generator loss at iter 9384; skipping update. +2025-10-31 17:37:34,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,684 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,685 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,686 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:34,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:34,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:34,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:34,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.87, max=11.62, mean=-0.1022, std=2.728, absmax=15.87 +2025-10-31 17:37:34,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=9.352, mean=-0.1431, std=2.273, absmax=9.911 +2025-10-31 17:37:35,184 ERROR: Encountered non-finite generator loss at iter 9385; skipping update. +2025-10-31 17:37:35,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:35,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:35,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=13.48, mean=-0.1908, std=2.602, absmax=13.48 +2025-10-31 17:37:35,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.763, max=8.986, mean=-0.1983, std=2.221, absmax=9.763 +2025-10-31 17:37:35,689 ERROR: Encountered non-finite generator loss at iter 9386; skipping update. +2025-10-31 17:37:35,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,692 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:35,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:35,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:35,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:35,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.01, mean=-0.1709, std=3.498, absmax=14.01 +2025-10-31 17:37:35,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=12.4, mean=-0.1787, std=3.099, absmax=12.4 +2025-10-31 17:37:36,192 ERROR: Encountered non-finite generator loss at iter 9387; skipping update. +2025-10-31 17:37:36,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:36,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:36,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.03, mean=-0.04018, std=3.028, absmax=15.03 +2025-10-31 17:37:36,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.352, max=11.22, mean=-0.04358, std=2.415, absmax=11.22 +2025-10-31 17:37:36,692 ERROR: Encountered non-finite generator loss at iter 9388; skipping update. +2025-10-31 17:37:36,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,695 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:36,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:36,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:36,701 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:36,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=14.01, mean=0.02441, std=3.424, absmax=14.1 +2025-10-31 17:37:36,703 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=10.85, mean=-0.01577, std=2.736, absmax=10.85 +2025-10-31 17:37:37,196 ERROR: Encountered non-finite generator loss at iter 9389; skipping update. +2025-10-31 17:37:37,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:37,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:37,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=13.45, mean=-0.1199, std=2.555, absmax=13.45 +2025-10-31 17:37:37,207 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.799, mean=-0.1485, std=2.233, absmax=10.2 +2025-10-31 17:37:37,701 ERROR: Encountered non-finite generator loss at iter 9390; skipping update. +2025-10-31 17:37:37,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:37,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:37,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:37,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:37,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=10.38, mean=-0.2422, std=2.625, absmax=13.13 +2025-10-31 17:37:37,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=8.657, mean=-0.2239, std=2.359, absmax=10.97 +2025-10-31 17:37:38,203 ERROR: Encountered non-finite generator loss at iter 9391; skipping update. +2025-10-31 17:37:38,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,209 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,213 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:38,214 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:38,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.5, mean=-0.1573, std=2.946, absmax=13.94 +2025-10-31 17:37:38,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.561, max=9.595, mean=-0.1622, std=2.39, absmax=9.595 +2025-10-31 17:37:38,710 ERROR: Encountered non-finite generator loss at iter 9392; skipping update. +2025-10-31 17:37:38,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,713 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,714 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:38,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:38,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:38,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:38,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=17.52, mean=-0.1651, std=2.679, absmax=17.52 +2025-10-31 17:37:38,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.852, max=9.012, mean=-0.1696, std=2.181, absmax=9.012 +2025-10-31 17:37:39,214 ERROR: Encountered non-finite generator loss at iter 9393; skipping update. +2025-10-31 17:37:39,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:39,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:39,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=16.44, mean=-0.08971, std=3.326, absmax=16.44 +2025-10-31 17:37:39,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.083, max=12.22, mean=-0.09062, std=2.804, absmax=12.22 +2025-10-31 17:37:39,718 ERROR: Encountered non-finite generator loss at iter 9394; skipping update. +2025-10-31 17:37:39,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,721 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:39,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:39,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:39,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:39,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.83, mean=-0.2917, std=2.547, absmax=12.83 +2025-10-31 17:37:39,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=9.981, mean=-0.2822, std=2.208, absmax=10.56 +2025-10-31 17:37:40,219 ERROR: Encountered non-finite generator loss at iter 9395; skipping update. +2025-10-31 17:37:40,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:40,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:40,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.91, mean=-0.1376, std=2.514, absmax=12.91 +2025-10-31 17:37:40,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.992, max=9.054, mean=-0.1062, std=2.053, absmax=9.054 +2025-10-31 17:37:40,722 ERROR: Encountered non-finite generator loss at iter 9396; skipping update. +2025-10-31 17:37:40,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,725 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,726 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:40,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:40,729 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:40,730 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:40,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=15.1, mean=-0.06815, std=2.648, absmax=15.1 +2025-10-31 17:37:40,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.519, max=9.981, mean=-0.09858, std=2.043, absmax=9.981 +2025-10-31 17:37:41,225 ERROR: Encountered non-finite generator loss at iter 9397; skipping update. +2025-10-31 17:37:41,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,229 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:41,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:41,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.83, max=11.85, mean=-0.2086, std=2.966, absmax=16.83 +2025-10-31 17:37:41,234 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.66, max=10.51, mean=-0.145, std=2.58, absmax=12.66 +2025-10-31 17:37:41,727 ERROR: Encountered non-finite generator loss at iter 9398; skipping update. +2025-10-31 17:37:41,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,729 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,730 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,731 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:41,732 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:41,733 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:41,734 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:41,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.58, mean=-0.1769, std=2.874, absmax=11.6 +2025-10-31 17:37:41,736 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.899, max=8.156, mean=-0.2167, std=2.419, absmax=8.899 +2025-10-31 17:37:42,229 ERROR: Encountered non-finite generator loss at iter 9399; skipping update. +2025-10-31 17:37:42,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,232 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,232 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,234 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,235 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:42,236 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:42,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.36, mean=-0.2753, std=2.785, absmax=13.09 +2025-10-31 17:37:42,238 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=9.039, mean=-0.2441, std=2.359, absmax=10.22 +2025-10-31 17:37:42,732 ERROR: Encountered non-finite generator loss at iter 9400; skipping update. +2025-10-31 17:37:42,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:42,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:42,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:42,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:42,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.72, mean=0.2429, std=3.653, absmax=13.72 +2025-10-31 17:37:42,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=10.95, mean=0.1833, std=3.079, absmax=11.25 +2025-10-31 17:37:42,743 INFO: [29..][epoch: 0, step: 9,400, lr:(1.500e-04,)] [eta: 1 day, 15:58:02, time (data): 0.503 (0.000)] +2025-10-31 17:37:43,235 ERROR: Encountered non-finite generator loss at iter 9401; skipping update. +2025-10-31 17:37:43,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:43,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:43,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.93, mean=-0.01782, std=2.912, absmax=12.93 +2025-10-31 17:37:43,245 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.699, max=10.2, mean=-0.03889, std=2.612, absmax=10.2 +2025-10-31 17:37:43,737 ERROR: Encountered non-finite generator loss at iter 9402; skipping update. +2025-10-31 17:37:43,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:43,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:43,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:43,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:43,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=18.18, mean=-0.01489, std=3.241, absmax=18.18 +2025-10-31 17:37:43,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=12.7, mean=-0.05864, std=2.752, absmax=12.7 +2025-10-31 17:37:44,240 ERROR: Encountered non-finite generator loss at iter 9403; skipping update. +2025-10-31 17:37:44,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:44,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:44,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.91, mean=-0.09562, std=3.483, absmax=13.61 +2025-10-31 17:37:44,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.98, max=9.976, mean=-0.1073, std=3.023, absmax=12.98 +2025-10-31 17:37:44,743 ERROR: Encountered non-finite generator loss at iter 9404; skipping update. +2025-10-31 17:37:44,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,745 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,746 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:44,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:44,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:44,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:44,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.27, mean=-0.2439, std=3.139, absmax=13.49 +2025-10-31 17:37:44,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=9.002, mean=-0.2276, std=2.667, absmax=11.52 +2025-10-31 17:37:45,244 ERROR: Encountered non-finite generator loss at iter 9405; skipping update. +2025-10-31 17:37:45,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,247 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,249 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,250 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,251 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:45,252 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:45,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=9.102, mean=-0.1611, std=2.632, absmax=11.74 +2025-10-31 17:37:45,254 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.653, max=8.253, mean=-0.1182, std=2.336, absmax=9.653 +2025-10-31 17:37:45,746 ERROR: Encountered non-finite generator loss at iter 9406; skipping update. +2025-10-31 17:37:45,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,749 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:45,752 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:45,753 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:45,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:45,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.93, max=12.62, mean=-0.07256, std=2.678, absmax=15.93 +2025-10-31 17:37:45,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.85, max=9.302, mean=-0.06559, std=2.23, absmax=9.85 +2025-10-31 17:37:46,248 ERROR: Encountered non-finite generator loss at iter 9407; skipping update. +2025-10-31 17:37:46,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,251 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,251 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,253 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,254 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,255 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,256 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:46,257 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:46,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.74, mean=-0.2165, std=2.962, absmax=12.41 +2025-10-31 17:37:46,259 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=8.941, mean=-0.1999, std=2.393, absmax=10.9 +2025-10-31 17:37:46,752 ERROR: Encountered non-finite generator loss at iter 9408; skipping update. +2025-10-31 17:37:46,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,757 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,758 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:46,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:46,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:46,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:46,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.32, mean=-0.1038, std=3.415, absmax=13.18 +2025-10-31 17:37:46,763 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.86, max=9.905, mean=-0.1653, std=2.882, absmax=11.86 +2025-10-31 17:37:47,256 ERROR: Encountered non-finite generator loss at iter 9409; skipping update. +2025-10-31 17:37:47,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,260 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,261 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,262 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:47,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:47,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.01, mean=-0.1756, std=2.674, absmax=13.17 +2025-10-31 17:37:47,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.689, max=9.366, mean=-0.1642, std=2.27, absmax=9.689 +2025-10-31 17:37:47,758 ERROR: Encountered non-finite generator loss at iter 9410; skipping update. +2025-10-31 17:37:47,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:47,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:47,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:47,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:47,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=12.39, mean=-0.2686, std=2.594, absmax=12.39 +2025-10-31 17:37:47,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.83, mean=-0.2384, std=2.339, absmax=10.83 +2025-10-31 17:37:48,259 ERROR: Encountered non-finite generator loss at iter 9411; skipping update. +2025-10-31 17:37:48,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,264 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:48,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:48,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.71, mean=-0.2344, std=3.107, absmax=13.01 +2025-10-31 17:37:48,265 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.799, mean=-0.2368, std=2.551, absmax=10.79 +2025-10-31 17:37:48,757 ERROR: Encountered non-finite generator loss at iter 9412; skipping update. +2025-10-31 17:37:48,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,761 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,762 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,763 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:48,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:48,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:48,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:48,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.23, mean=-0.06822, std=3.081, absmax=13.23 +2025-10-31 17:37:48,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=13.92, mean=-0.04306, std=2.804, absmax=13.92 +2025-10-31 17:37:49,259 ERROR: Encountered non-finite generator loss at iter 9413; skipping update. +2025-10-31 17:37:49,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,262 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,262 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,263 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,264 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,265 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,266 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:49,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:49,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=16.79, mean=-0.2395, std=3.332, absmax=16.79 +2025-10-31 17:37:49,269 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.502, max=11.23, mean=-0.2273, std=2.894, absmax=11.23 +2025-10-31 17:37:49,761 ERROR: Encountered non-finite generator loss at iter 9414; skipping update. +2025-10-31 17:37:49,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,764 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,764 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,765 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,766 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:49,767 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:49,768 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:49,769 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:49,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.15, mean=-0.2069, std=3.2, absmax=14.74 +2025-10-31 17:37:49,771 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.99, max=10.07, mean=-0.1918, std=2.586, absmax=12.99 +2025-10-31 17:37:50,262 ERROR: Encountered non-finite generator loss at iter 9415; skipping update. +2025-10-31 17:37:50,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,265 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,268 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,269 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,270 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,271 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,272 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:50,273 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:50,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.72, mean=-0.1032, std=3.016, absmax=13.18 +2025-10-31 17:37:50,275 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.654, max=10.09, mean=-0.1224, std=2.53, absmax=10.09 +2025-10-31 17:37:50,768 ERROR: Encountered non-finite generator loss at iter 9416; skipping update. +2025-10-31 17:37:50,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,770 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,771 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,771 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:50,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:50,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:50,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:50,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.34, mean=0.0704, std=3.918, absmax=14.34 +2025-10-31 17:37:50,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.631, max=13.94, mean=0.06067, std=3.388, absmax=13.94 +2025-10-31 17:37:51,269 ERROR: Encountered non-finite generator loss at iter 9417; skipping update. +2025-10-31 17:37:51,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,271 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,272 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,273 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,274 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,275 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,276 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:51,277 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:51,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.84, mean=-0.2965, std=2.704, absmax=12.74 +2025-10-31 17:37:51,278 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=7.488, mean=-0.2936, std=2.456, absmax=10.33 +2025-10-31 17:37:51,771 ERROR: Encountered non-finite generator loss at iter 9418; skipping update. +2025-10-31 17:37:51,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,773 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,774 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:51,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:51,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:51,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:51,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.04, mean=-0.1896, std=2.787, absmax=12.04 +2025-10-31 17:37:51,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.483, max=8.248, mean=-0.1988, std=2.339, absmax=9.483 +2025-10-31 17:37:52,272 ERROR: Encountered non-finite generator loss at iter 9419; skipping update. +2025-10-31 17:37:52,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,275 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,276 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,277 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,278 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,279 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:52,280 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:52,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.39, mean=0.008368, std=2.924, absmax=13.39 +2025-10-31 17:37:52,282 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.839, max=11.05, mean=-0.002643, std=2.565, absmax=11.05 +2025-10-31 17:37:52,775 ERROR: Encountered non-finite generator loss at iter 9420; skipping update. +2025-10-31 17:37:52,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:52,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:52,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:52,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:52,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=10.19, mean=-0.1417, std=2.327, absmax=11.25 +2025-10-31 17:37:52,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.133, max=8.025, mean=-0.1739, std=2.059, absmax=9.133 +2025-10-31 17:37:53,277 ERROR: Encountered non-finite generator loss at iter 9421; skipping update. +2025-10-31 17:37:53,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,280 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,281 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:53,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:53,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.95, mean=-0.05547, std=2.942, absmax=12.95 +2025-10-31 17:37:53,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.798, max=11.45, mean=-0.04746, std=2.45, absmax=11.45 +2025-10-31 17:37:53,780 ERROR: Encountered non-finite generator loss at iter 9422; skipping update. +2025-10-31 17:37:53,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,783 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,784 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:53,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:53,786 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:53,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:53,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.13, mean=-0.3997, std=3.317, absmax=14.13 +2025-10-31 17:37:53,789 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=10.02, mean=-0.4147, std=2.845, absmax=12.04 +2025-10-31 17:37:54,281 ERROR: Encountered non-finite generator loss at iter 9423; skipping update. +2025-10-31 17:37:54,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,283 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,284 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:54,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:54,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.43, mean=0.04338, std=2.861, absmax=12.98 +2025-10-31 17:37:54,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.807, max=10.04, mean=-0.009366, std=2.34, absmax=10.04 +2025-10-31 17:37:54,778 ERROR: Encountered non-finite generator loss at iter 9424; skipping update. +2025-10-31 17:37:54,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,781 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,782 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,783 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,784 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:54,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:54,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:54,787 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:54,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=13.71, mean=0.08968, std=3.204, absmax=14.36 +2025-10-31 17:37:54,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.805, max=10.79, mean=0.1159, std=2.699, absmax=10.79 +2025-10-31 17:37:55,281 ERROR: Encountered non-finite generator loss at iter 9425; skipping update. +2025-10-31 17:37:55,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,284 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,284 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,285 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,286 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,287 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,288 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:55,289 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:55,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.5, mean=0.01732, std=3.097, absmax=14.5 +2025-10-31 17:37:55,291 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.39, max=9.903, mean=0.01003, std=2.556, absmax=9.903 +2025-10-31 17:37:55,784 ERROR: Encountered non-finite generator loss at iter 9426; skipping update. +2025-10-31 17:37:55,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,787 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,787 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,788 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,789 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:55,790 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:55,791 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:55,792 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:55,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=10.34, mean=-0.1567, std=2.765, absmax=12.69 +2025-10-31 17:37:55,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.136, mean=-0.2367, std=2.423, absmax=11.28 +2025-10-31 17:37:56,286 ERROR: Encountered non-finite generator loss at iter 9427; skipping update. +2025-10-31 17:37:56,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:56,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:56,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=13.41, mean=-0.1754, std=2.461, absmax=13.41 +2025-10-31 17:37:56,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.84, max=8.418, mean=-0.188, std=1.986, absmax=8.84 +2025-10-31 17:37:56,788 ERROR: Encountered non-finite generator loss at iter 9428; skipping update. +2025-10-31 17:37:56,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:56,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:56,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:56,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:56,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=10.14, mean=-0.1993, std=2.707, absmax=11.49 +2025-10-31 17:37:56,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.29, max=7.564, mean=-0.1949, std=2.206, absmax=8.29 +2025-10-31 17:37:57,289 ERROR: Encountered non-finite generator loss at iter 9429; skipping update. +2025-10-31 17:37:57,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,291 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,296 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:57,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:57,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=9.785, mean=-0.1381, std=2.382, absmax=12.29 +2025-10-31 17:37:57,297 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.795, max=8.661, mean=-0.1032, std=2.067, absmax=8.795 +2025-10-31 17:37:57,790 ERROR: Encountered non-finite generator loss at iter 9430; skipping update. +2025-10-31 17:37:57,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,792 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,793 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,794 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:57,796 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:57,797 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:57,798 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:57,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.89, max=12.65, mean=-0.06533, std=3.121, absmax=15.89 +2025-10-31 17:37:57,800 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=11.41, mean=-0.07293, std=2.703, absmax=11.41 +2025-10-31 17:37:58,292 ERROR: Encountered non-finite generator loss at iter 9431; skipping update. +2025-10-31 17:37:58,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,295 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,295 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,296 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,298 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:58,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:58,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.5, mean=-0.1775, std=3.123, absmax=14.5 +2025-10-31 17:37:58,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.909, max=9.831, mean=-0.1912, std=2.572, absmax=9.909 +2025-10-31 17:37:58,794 ERROR: Encountered non-finite generator loss at iter 9432; skipping update. +2025-10-31 17:37:58,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:58,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:58,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:58,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:58,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=12.58, mean=-0.1855, std=2.877, absmax=14.46 +2025-10-31 17:37:58,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=9.639, mean=-0.2154, std=2.422, absmax=10.99 +2025-10-31 17:37:59,297 ERROR: Encountered non-finite generator loss at iter 9433; skipping update. +2025-10-31 17:37:59,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,301 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,302 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:59,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:59,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.61, mean=-0.3424, std=3.004, absmax=12.61 +2025-10-31 17:37:59,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.615, max=8.461, mean=-0.3157, std=2.537, absmax=9.615 +2025-10-31 17:37:59,799 ERROR: Encountered non-finite generator loss at iter 9434; skipping update. +2025-10-31 17:37:59,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,801 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,802 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,802 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,803 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:37:59,804 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:37:59,805 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:37:59,806 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:37:59,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.79, mean=-0.2216, std=3.011, absmax=13.79 +2025-10-31 17:37:59,808 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.247, max=9.607, mean=-0.2318, std=2.373, absmax=9.607 +2025-10-31 17:38:00,300 ERROR: Encountered non-finite generator loss at iter 9435; skipping update. +2025-10-31 17:38:00,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:00,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:00,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.47, mean=-0.03229, std=3.65, absmax=14.47 +2025-10-31 17:38:00,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=12.14, mean=-0.04423, std=2.993, absmax=12.14 +2025-10-31 17:38:00,802 ERROR: Encountered non-finite generator loss at iter 9436; skipping update. +2025-10-31 17:38:00,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,804 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:00,809 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:00,810 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:00,811 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:00,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=12.67, mean=-0.2206, std=3.319, absmax=14.76 +2025-10-31 17:38:00,813 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.14, mean=-0.206, std=2.755, absmax=10.23 +2025-10-31 17:38:01,304 ERROR: Encountered non-finite generator loss at iter 9437; skipping update. +2025-10-31 17:38:01,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,307 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:01,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:01,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.8, mean=0.1614, std=3.928, absmax=14.8 +2025-10-31 17:38:01,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=13.15, mean=0.1129, std=3.297, absmax=13.15 +2025-10-31 17:38:01,808 ERROR: Encountered non-finite generator loss at iter 9438; skipping update. +2025-10-31 17:38:01,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:01,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:01,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:01,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:01,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.17, mean=-0.149, std=2.817, absmax=12.29 +2025-10-31 17:38:01,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.786, max=8.157, mean=-0.2192, std=2.481, absmax=9.786 +2025-10-31 17:38:02,311 ERROR: Encountered non-finite generator loss at iter 9439; skipping update. +2025-10-31 17:38:02,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,313 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,317 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,318 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,319 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:02,320 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:02,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.3, mean=-0.2631, std=2.865, absmax=13.3 +2025-10-31 17:38:02,322 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.88, max=9.555, mean=-0.2673, std=2.302, absmax=9.88 +2025-10-31 17:38:02,815 ERROR: Encountered non-finite generator loss at iter 9440; skipping update. +2025-10-31 17:38:02,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,818 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,818 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,819 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:02,820 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:02,821 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:02,822 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:02,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.56, mean=-0.2606, std=2.548, absmax=12.22 +2025-10-31 17:38:02,824 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.022, mean=-0.2242, std=2.236, absmax=10.19 +2025-10-31 17:38:03,318 ERROR: Encountered non-finite generator loss at iter 9441; skipping update. +2025-10-31 17:38:03,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,322 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:03,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:03,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.39, max=12.42, mean=-0.2421, std=2.681, absmax=12.42 +2025-10-31 17:38:03,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.116, max=7.298, mean=-0.2247, std=2.211, absmax=8.116 +2025-10-31 17:38:03,822 ERROR: Encountered non-finite generator loss at iter 9442; skipping update. +2025-10-31 17:38:03,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,824 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,824 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:03,827 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:03,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:03,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:03,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.37, max=12.15, mean=0.0366, std=2.856, absmax=12.15 +2025-10-31 17:38:03,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.339, max=11.21, mean=0.01627, std=2.46, absmax=11.21 +2025-10-31 17:38:04,324 ERROR: Encountered non-finite generator loss at iter 9443; skipping update. +2025-10-31 17:38:04,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,327 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,328 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,329 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,330 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:04,331 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:04,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.28, mean=-0.06266, std=3, absmax=11.63 +2025-10-31 17:38:04,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.768, max=10.01, mean=-0.06991, std=2.419, absmax=10.01 +2025-10-31 17:38:04,829 ERROR: Encountered non-finite generator loss at iter 9444; skipping update. +2025-10-31 17:38:04,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:04,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:04,832 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:04,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:04,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=13.67, mean=-0.2017, std=3.296, absmax=14.66 +2025-10-31 17:38:04,835 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=9.409, mean=-0.162, std=2.663, absmax=10.95 +2025-10-31 17:38:05,329 ERROR: Encountered non-finite generator loss at iter 9445; skipping update. +2025-10-31 17:38:05,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,332 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,334 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:05,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:05,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=15.1, mean=-0.06579, std=3.449, absmax=15.1 +2025-10-31 17:38:05,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=13.37, mean=-0.05274, std=2.896, absmax=13.37 +2025-10-31 17:38:05,832 ERROR: Encountered non-finite generator loss at iter 9446; skipping update. +2025-10-31 17:38:05,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:05,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:05,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:05,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:05,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=13.73, mean=-0.02065, std=3.013, absmax=13.73 +2025-10-31 17:38:05,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.035, max=11.11, mean=-0.04789, std=2.505, absmax=11.11 +2025-10-31 17:38:06,336 ERROR: Encountered non-finite generator loss at iter 9447; skipping update. +2025-10-31 17:38:06,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:06,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:06,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.05, mean=-0.1218, std=2.921, absmax=14.05 +2025-10-31 17:38:06,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=11.73, mean=-0.1311, std=2.485, absmax=11.73 +2025-10-31 17:38:06,838 ERROR: Encountered non-finite generator loss at iter 9448; skipping update. +2025-10-31 17:38:06,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:06,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:06,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:06,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:06,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.59, mean=0.01946, std=3.299, absmax=14.59 +2025-10-31 17:38:06,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=11.62, mean=0.01108, std=2.837, absmax=11.62 +2025-10-31 17:38:07,343 ERROR: Encountered non-finite generator loss at iter 9449; skipping update. +2025-10-31 17:38:07,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:07,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:07,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=15.27, mean=-0.2085, std=3.37, absmax=15.27 +2025-10-31 17:38:07,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=11.49, mean=-0.2024, std=2.808, absmax=11.49 +2025-10-31 17:38:07,845 ERROR: Encountered non-finite generator loss at iter 9450; skipping update. +2025-10-31 17:38:07,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,847 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:07,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:07,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:07,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:07,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.31, mean=-0.2586, std=3.089, absmax=13.31 +2025-10-31 17:38:07,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.626, max=9.909, mean=-0.2356, std=2.657, absmax=9.909 +2025-10-31 17:38:08,348 ERROR: Encountered non-finite generator loss at iter 9451; skipping update. +2025-10-31 17:38:08,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,352 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,353 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,354 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,355 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,356 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:08,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:08,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=19.73, mean=0.003583, std=3.539, absmax=19.73 +2025-10-31 17:38:08,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=12.98, mean=-0.04054, std=2.914, absmax=12.98 +2025-10-31 17:38:08,853 ERROR: Encountered non-finite generator loss at iter 9452; skipping update. +2025-10-31 17:38:08,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,856 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,856 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,857 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:08,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:08,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:08,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:08,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.47, mean=-0.2584, std=3.166, absmax=12.47 +2025-10-31 17:38:08,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.567, max=8.156, mean=-0.2465, std=2.633, absmax=9.567 +2025-10-31 17:38:09,358 ERROR: Encountered non-finite generator loss at iter 9453; skipping update. +2025-10-31 17:38:09,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,361 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,365 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,366 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,367 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:09,368 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:09,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.84, mean=-0.134, std=2.843, absmax=13.48 +2025-10-31 17:38:09,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.52, max=9.332, mean=-0.1689, std=2.362, absmax=12.52 +2025-10-31 17:38:09,864 ERROR: Encountered non-finite generator loss at iter 9454; skipping update. +2025-10-31 17:38:09,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,867 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,867 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,868 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:09,870 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:09,871 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:09,872 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:09,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.4, max=11.13, mean=-0.2305, std=2.505, absmax=11.13 +2025-10-31 17:38:09,874 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.49, max=7.81, mean=-0.259, std=2.187, absmax=9.49 +2025-10-31 17:38:10,369 ERROR: Encountered non-finite generator loss at iter 9455; skipping update. +2025-10-31 17:38:10,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,371 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,372 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,373 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,376 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,377 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:10,378 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:10,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.31, mean=-0.1115, std=2.544, absmax=11.47 +2025-10-31 17:38:10,380 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.663, max=8.047, mean=-0.125, std=2.031, absmax=8.663 +2025-10-31 17:38:10,874 ERROR: Encountered non-finite generator loss at iter 9456; skipping update. +2025-10-31 17:38:10,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,877 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,877 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:10,878 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:10,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:10,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:10,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=17.58, mean=-0.2643, std=2.665, absmax=17.58 +2025-10-31 17:38:10,883 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=12.22, mean=-0.2512, std=2.182, absmax=12.22 +2025-10-31 17:38:11,377 ERROR: Encountered non-finite generator loss at iter 9457; skipping update. +2025-10-31 17:38:11,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,379 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,380 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,380 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,381 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,383 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,384 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:11,385 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:11,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.26, mean=-0.1707, std=2.504, absmax=12.26 +2025-10-31 17:38:11,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.71, max=9.506, mean=-0.1648, std=2.158, absmax=9.71 +2025-10-31 17:38:11,882 ERROR: Encountered non-finite generator loss at iter 9458; skipping update. +2025-10-31 17:38:11,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,885 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,886 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,887 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,888 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:11,889 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:11,889 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:11,890 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:11,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=15.71, mean=-0.2563, std=2.454, absmax=15.71 +2025-10-31 17:38:11,893 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.969, max=9.821, mean=-0.263, std=2.065, absmax=9.969 +2025-10-31 17:38:12,386 ERROR: Encountered non-finite generator loss at iter 9459; skipping update. +2025-10-31 17:38:12,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:12,395 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:12,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=17.44, mean=-0.3744, std=3.419, absmax=17.44 +2025-10-31 17:38:12,397 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.24, max=12.21, mean=-0.3689, std=2.899, absmax=12.24 +2025-10-31 17:38:12,891 ERROR: Encountered non-finite generator loss at iter 9460; skipping update. +2025-10-31 17:38:12,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,895 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,896 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:12,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:12,898 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:12,900 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:12,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.38, mean=-0.2931, std=3.004, absmax=12.38 +2025-10-31 17:38:12,901 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=10.86, mean=-0.2759, std=2.601, absmax=11.15 +2025-10-31 17:38:13,395 ERROR: Encountered non-finite generator loss at iter 9461; skipping update. +2025-10-31 17:38:13,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,398 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,398 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,400 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,401 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,402 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:13,403 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:13,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.61, mean=-0.2628, std=3.267, absmax=12.8 +2025-10-31 17:38:13,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=10.05, mean=-0.2361, std=2.55, absmax=10.59 +2025-10-31 17:38:13,899 ERROR: Encountered non-finite generator loss at iter 9462; skipping update. +2025-10-31 17:38:13,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,902 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,902 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:13,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:13,904 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:13,905 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:13,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.81, mean=-0.04804, std=3.478, absmax=12.81 +2025-10-31 17:38:13,907 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.276, max=10.44, mean=-0.04726, std=2.947, absmax=10.44 +2025-10-31 17:38:14,400 ERROR: Encountered non-finite generator loss at iter 9463; skipping update. +2025-10-31 17:38:14,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:14,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:14,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.34, mean=-0.1172, std=2.721, absmax=13.34 +2025-10-31 17:38:14,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=11.58, mean=-0.1367, std=2.394, absmax=11.58 +2025-10-31 17:38:14,904 ERROR: Encountered non-finite generator loss at iter 9464; skipping update. +2025-10-31 17:38:14,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:14,908 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:14,909 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:14,910 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:14,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=13.02, mean=-0.04554, std=2.851, absmax=13.02 +2025-10-31 17:38:14,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.042, max=11.5, mean=-0.05311, std=2.493, absmax=11.5 +2025-10-31 17:38:15,408 ERROR: Encountered non-finite generator loss at iter 9465; skipping update. +2025-10-31 17:38:15,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,411 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:15,415 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:15,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.85, mean=-0.3422, std=2.82, absmax=13.85 +2025-10-31 17:38:15,417 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.085, mean=-0.319, std=2.584, absmax=11.89 +2025-10-31 17:38:15,912 ERROR: Encountered non-finite generator loss at iter 9466; skipping update. +2025-10-31 17:38:15,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,917 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:15,918 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:15,919 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:15,920 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:15,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=17.12, mean=-0.1438, std=2.865, absmax=17.12 +2025-10-31 17:38:15,922 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=11.7, mean=-0.1284, std=2.5, absmax=11.7 +2025-10-31 17:38:16,416 ERROR: Encountered non-finite generator loss at iter 9467; skipping update. +2025-10-31 17:38:16,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:16,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:16,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.57, mean=-0.01947, std=2.84, absmax=14.57 +2025-10-31 17:38:16,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=9.855, mean=-0.0202, std=2.386, absmax=10.14 +2025-10-31 17:38:16,922 ERROR: Encountered non-finite generator loss at iter 9468; skipping update. +2025-10-31 17:38:16,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,925 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,926 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,927 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,928 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:16,929 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:16,930 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:16,931 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:16,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=9.97, mean=-0.1877, std=2.872, absmax=12.98 +2025-10-31 17:38:16,935 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=8.749, mean=-0.2096, std=2.363, absmax=10.3 +2025-10-31 17:38:17,431 ERROR: Encountered non-finite generator loss at iter 9469; skipping update. +2025-10-31 17:38:17,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,434 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,437 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:17,438 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:17,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=15.57, mean=-0.1776, std=3.404, absmax=15.57 +2025-10-31 17:38:17,440 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=11.24, mean=-0.1765, std=2.77, absmax=11.24 +2025-10-31 17:38:17,935 ERROR: Encountered non-finite generator loss at iter 9470; skipping update. +2025-10-31 17:38:17,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:17,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:17,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:17,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:17,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.23, mean=-0.2596, std=3.152, absmax=12.45 +2025-10-31 17:38:17,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.176, max=10.01, mean=-0.2301, std=2.492, absmax=10.01 +2025-10-31 17:38:18,440 ERROR: Encountered non-finite generator loss at iter 9471; skipping update. +2025-10-31 17:38:18,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,442 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,443 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:18,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:18,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.31, mean=-0.01722, std=3.563, absmax=13.46 +2025-10-31 17:38:18,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=10.41, mean=-0.03361, std=2.989, absmax=11.32 +2025-10-31 17:38:18,943 ERROR: Encountered non-finite generator loss at iter 9472; skipping update. +2025-10-31 17:38:18,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,946 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,946 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,947 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,949 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:18,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:18,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:18,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:18,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.66, mean=0.01362, std=3.293, absmax=14.66 +2025-10-31 17:38:18,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=12.66, mean=0.004575, std=2.681, absmax=12.66 +2025-10-31 17:38:19,449 ERROR: Encountered non-finite generator loss at iter 9473; skipping update. +2025-10-31 17:38:19,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,452 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,452 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,452 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,453 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,454 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,455 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:19,456 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:19,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.66, mean=-0.336, std=2.766, absmax=12.11 +2025-10-31 17:38:19,458 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.774, max=10.11, mean=-0.3109, std=2.319, absmax=10.11 +2025-10-31 17:38:19,952 ERROR: Encountered non-finite generator loss at iter 9474; skipping update. +2025-10-31 17:38:19,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,955 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,956 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:19,957 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:19,958 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:19,959 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:19,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.78, mean=-0.1531, std=2.784, absmax=13.78 +2025-10-31 17:38:19,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=10.37, mean=-0.1388, std=2.43, absmax=10.37 +2025-10-31 17:38:20,456 ERROR: Encountered non-finite generator loss at iter 9475; skipping update. +2025-10-31 17:38:20,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,458 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:20,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:20,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.18, mean=0.009213, std=3.33, absmax=13.84 +2025-10-31 17:38:20,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.924, mean=0.006008, std=2.959, absmax=10.45 +2025-10-31 17:38:20,958 ERROR: Encountered non-finite generator loss at iter 9476; skipping update. +2025-10-31 17:38:20,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,960 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,961 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,961 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,962 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:20,963 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:20,964 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:20,965 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:20,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.55, mean=0.07422, std=3.378, absmax=13.55 +2025-10-31 17:38:20,966 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=11.42, mean=0.07332, std=2.906, absmax=11.42 +2025-10-31 17:38:21,460 ERROR: Encountered non-finite generator loss at iter 9477; skipping update. +2025-10-31 17:38:21,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:21,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:21,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.1, mean=-0.2408, std=3.104, absmax=14.1 +2025-10-31 17:38:21,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.794, max=9.518, mean=-0.2557, std=2.533, absmax=9.794 +2025-10-31 17:38:21,962 ERROR: Encountered non-finite generator loss at iter 9478; skipping update. +2025-10-31 17:38:21,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,964 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:21,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:21,969 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:21,971 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:21,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=9.591, mean=-0.2543, std=2.797, absmax=13.26 +2025-10-31 17:38:21,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.92, max=8.49, mean=-0.206, std=2.408, absmax=11.92 +2025-10-31 17:38:22,467 ERROR: Encountered non-finite generator loss at iter 9479; skipping update. +2025-10-31 17:38:22,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,472 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:22,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:22,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=15.02, mean=-0.1178, std=2.474, absmax=15.02 +2025-10-31 17:38:22,476 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.493, max=7.872, mean=-0.1237, std=2.04, absmax=9.493 +2025-10-31 17:38:22,970 ERROR: Encountered non-finite generator loss at iter 9480; skipping update. +2025-10-31 17:38:22,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,973 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,974 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:22,975 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:22,976 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:22,976 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:22,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.08, mean=-0.3027, std=2.932, absmax=13.08 +2025-10-31 17:38:22,978 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.075, mean=-0.2565, std=2.361, absmax=10.67 +2025-10-31 17:38:23,472 ERROR: Encountered non-finite generator loss at iter 9481; skipping update. +2025-10-31 17:38:23,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,478 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,479 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:23,480 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:23,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.6, mean=-0.212, std=3.093, absmax=12.75 +2025-10-31 17:38:23,482 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=7.354, mean=-0.2703, std=2.715, absmax=10.25 +2025-10-31 17:38:23,976 ERROR: Encountered non-finite generator loss at iter 9482; skipping update. +2025-10-31 17:38:23,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,978 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,979 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,980 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,980 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:23,981 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:23,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:23,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:23,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.45, mean=-0.1749, std=2.669, absmax=13.16 +2025-10-31 17:38:23,983 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.559, max=7.981, mean=-0.2036, std=2.209, absmax=9.559 +2025-10-31 17:38:24,477 ERROR: Encountered non-finite generator loss at iter 9483; skipping update. +2025-10-31 17:38:24,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,480 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,481 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,483 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,483 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:24,484 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:24,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.86, mean=-0.1189, std=2.753, absmax=12.86 +2025-10-31 17:38:24,486 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.939, max=9.013, mean=-0.09367, std=2.33, absmax=9.939 +2025-10-31 17:38:24,979 ERROR: Encountered non-finite generator loss at iter 9484; skipping update. +2025-10-31 17:38:24,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,982 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,982 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,982 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,983 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:24,984 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:24,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:24,986 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:24,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.66, mean=-0.129, std=2.622, absmax=13.15 +2025-10-31 17:38:24,988 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.021, max=8.813, mean=-0.1308, std=2.247, absmax=9.021 +2025-10-31 17:38:25,481 ERROR: Encountered non-finite generator loss at iter 9485; skipping update. +2025-10-31 17:38:25,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,484 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,486 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,487 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:25,488 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:25,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.31, mean=-0.2552, std=3.172, absmax=14.31 +2025-10-31 17:38:25,490 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=9.895, mean=-0.2142, std=2.74, absmax=11.43 +2025-10-31 17:38:25,983 ERROR: Encountered non-finite generator loss at iter 9486; skipping update. +2025-10-31 17:38:25,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,985 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:25,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:25,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:25,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:25,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=10.54, mean=-0.3148, std=2.33, absmax=10.79 +2025-10-31 17:38:25,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.305, max=10.78, mean=-0.3282, std=2.21, absmax=10.78 +2025-10-31 17:38:26,487 ERROR: Encountered non-finite generator loss at iter 9487; skipping update. +2025-10-31 17:38:26,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:26,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:26,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:26,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:26,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:26,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:26,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:26,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:26,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.09, mean=-0.256, std=2.911, absmax=12.92 +2025-10-31 17:38:26,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.423, mean=-0.2575, std=2.346, absmax=10.44 +2025-10-31 17:38:27,000 ERROR: Encountered non-finite generator loss at iter 9488; skipping update. +2025-10-31 17:38:27,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:27,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:27,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.2, mean=-0.3271, std=3.595, absmax=13.68 +2025-10-31 17:38:27,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=8.699, mean=-0.334, std=2.986, absmax=10.96 +2025-10-31 17:38:27,503 ERROR: Encountered non-finite generator loss at iter 9489; skipping update. +2025-10-31 17:38:27,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:27,510 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:27,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:27,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:27,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.62, mean=-0.09381, std=3.004, absmax=13.62 +2025-10-31 17:38:27,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.72, mean=-0.08063, std=2.436, absmax=11.72 +2025-10-31 17:38:28,008 ERROR: Encountered non-finite generator loss at iter 9490; skipping update. +2025-10-31 17:38:28,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,011 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:28,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:28,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=11.56, mean=-0.1417, std=3.107, absmax=12.47 +2025-10-31 17:38:28,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.627, max=9.695, mean=-0.1499, std=2.531, absmax=9.695 +2025-10-31 17:38:28,512 ERROR: Encountered non-finite generator loss at iter 9491; skipping update. +2025-10-31 17:38:28,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,516 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,517 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,518 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:28,519 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:28,519 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:28,520 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:28,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.93, mean=-0.06959, std=3.004, absmax=13.38 +2025-10-31 17:38:28,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.67, max=9.836, mean=-0.1014, std=2.493, absmax=9.836 +2025-10-31 17:38:29,019 ERROR: Encountered non-finite generator loss at iter 9492; skipping update. +2025-10-31 17:38:29,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:29,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:29,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=15.09, mean=-0.1444, std=3.23, absmax=15.09 +2025-10-31 17:38:29,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=9.261, mean=-0.1211, std=2.857, absmax=10.63 +2025-10-31 17:38:29,522 ERROR: Encountered non-finite generator loss at iter 9493; skipping update. +2025-10-31 17:38:29,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:29,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:29,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:29,529 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:29,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=13.13, mean=-0.2357, std=2.699, absmax=13.13 +2025-10-31 17:38:29,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.096, max=9.295, mean=-0.2886, std=2.325, absmax=9.295 +2025-10-31 17:38:30,025 ERROR: Encountered non-finite generator loss at iter 9494; skipping update. +2025-10-31 17:38:30,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,027 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,028 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,030 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,031 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:30,032 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:30,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.76, mean=-0.1765, std=3.4, absmax=13.76 +2025-10-31 17:38:30,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.109, max=10.77, mean=-0.1613, std=2.913, absmax=10.77 +2025-10-31 17:38:30,528 ERROR: Encountered non-finite generator loss at iter 9495; skipping update. +2025-10-31 17:38:30,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:30,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:30,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:30,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:30,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.85, max=19.41, mean=-0.09224, std=3.387, absmax=19.41 +2025-10-31 17:38:30,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=13.86, mean=-0.1084, std=2.76, absmax=13.86 +2025-10-31 17:38:31,033 ERROR: Encountered non-finite generator loss at iter 9496; skipping update. +2025-10-31 17:38:31,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,036 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,037 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,038 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,039 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:31,040 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:31,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.79, mean=-0.03713, std=3.381, absmax=13.84 +2025-10-31 17:38:31,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=11.96, mean=-0.008479, std=2.894, absmax=11.96 +2025-10-31 17:38:31,536 ERROR: Encountered non-finite generator loss at iter 9497; skipping update. +2025-10-31 17:38:31,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,538 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,539 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,540 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,541 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:31,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:31,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:31,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:31,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.28, mean=-0.1543, std=3.287, absmax=13.13 +2025-10-31 17:38:31,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.18, max=9.556, mean=-0.1312, std=2.921, absmax=14.18 +2025-10-31 17:38:32,040 ERROR: Encountered non-finite generator loss at iter 9498; skipping update. +2025-10-31 17:38:32,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,044 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:32,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:32,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.89, mean=-0.2449, std=2.627, absmax=11.89 +2025-10-31 17:38:32,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.988, max=7.633, mean=-0.2253, std=2.117, absmax=8.988 +2025-10-31 17:38:32,543 ERROR: Encountered non-finite generator loss at iter 9499; skipping update. +2025-10-31 17:38:32,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:32,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:32,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:32,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:32,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.08, mean=-0.1666, std=2.766, absmax=13.08 +2025-10-31 17:38:32,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.845, max=8.975, mean=-0.1632, std=2.173, absmax=9.845 +2025-10-31 17:38:33,049 ERROR: Encountered non-finite generator loss at iter 9500; skipping update. +2025-10-31 17:38:33,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,052 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:33,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:33,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.93, mean=-0.1935, std=2.399, absmax=11.97 +2025-10-31 17:38:33,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.367, max=9.763, mean=-0.162, std=2.152, absmax=9.763 +2025-10-31 17:38:33,059 INFO: [29..][epoch: 0, step: 9,500, lr:(1.500e-04,)] [eta: 1 day, 15:53:02, time (data): 0.504 (0.000)] +2025-10-31 17:38:33,552 ERROR: Encountered non-finite generator loss at iter 9501; skipping update. +2025-10-31 17:38:33,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:33,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:33,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:33,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:33,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.52, mean=-0.04954, std=3.342, absmax=13.52 +2025-10-31 17:38:33,560 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.938, max=10.73, mean=-0.07531, std=2.757, absmax=10.73 +2025-10-31 17:38:34,055 ERROR: Encountered non-finite generator loss at iter 9502; skipping update. +2025-10-31 17:38:34,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:34,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:34,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.45, mean=-0.2202, std=2.559, absmax=13.45 +2025-10-31 17:38:34,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.526, max=8.543, mean=-0.2314, std=2.162, absmax=9.526 +2025-10-31 17:38:34,559 ERROR: Encountered non-finite generator loss at iter 9503; skipping update. +2025-10-31 17:38:34,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:34,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:34,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:34,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:34,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.98, mean=-0.1497, std=2.525, absmax=13.98 +2025-10-31 17:38:34,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=10.84, mean=-0.1165, std=2.257, absmax=11.17 +2025-10-31 17:38:35,063 ERROR: Encountered non-finite generator loss at iter 9504; skipping update. +2025-10-31 17:38:35,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,066 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,067 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:35,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:35,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.87, mean=-0.1949, std=3.118, absmax=13.57 +2025-10-31 17:38:35,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=9.883, mean=-0.189, std=2.693, absmax=11.42 +2025-10-31 17:38:35,567 ERROR: Encountered non-finite generator loss at iter 9505; skipping update. +2025-10-31 17:38:35,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,572 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:35,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:35,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:35,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:35,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.25, mean=-0.2389, std=3.349, absmax=14.25 +2025-10-31 17:38:35,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=13.31, mean=-0.2643, std=2.862, absmax=13.31 +2025-10-31 17:38:36,072 ERROR: Encountered non-finite generator loss at iter 9506; skipping update. +2025-10-31 17:38:36,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,074 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,075 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,078 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:36,079 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:36,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12.81, mean=-0.3115, std=2.869, absmax=14.11 +2025-10-31 17:38:36,081 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=11.07, mean=-0.2781, std=2.622, absmax=12.18 +2025-10-31 17:38:36,576 ERROR: Encountered non-finite generator loss at iter 9507; skipping update. +2025-10-31 17:38:36,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,579 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,579 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:36,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:36,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:36,583 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:36,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=18.22, mean=-0.179, std=2.603, absmax=18.22 +2025-10-31 17:38:36,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.85, max=9.509, mean=-0.156, std=2.105, absmax=9.509 +2025-10-31 17:38:37,079 ERROR: Encountered non-finite generator loss at iter 9508; skipping update. +2025-10-31 17:38:37,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,081 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,083 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,084 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,085 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,086 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:37,087 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:37,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=16.44, mean=-0.02853, std=3.182, absmax=16.44 +2025-10-31 17:38:37,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.73, mean=-0.04019, std=2.674, absmax=10.73 +2025-10-31 17:38:37,583 ERROR: Encountered non-finite generator loss at iter 9509; skipping update. +2025-10-31 17:38:37,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:37,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:37,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:37,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:37,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.37, mean=-0.2811, std=2.492, absmax=13.23 +2025-10-31 17:38:37,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=7.28, mean=-0.3059, std=2.13, absmax=10.45 +2025-10-31 17:38:38,087 ERROR: Encountered non-finite generator loss at iter 9510; skipping update. +2025-10-31 17:38:38,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,089 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,090 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,090 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,091 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,092 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,094 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:38,095 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:38,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.18, mean=-0.1529, std=3.177, absmax=12.9 +2025-10-31 17:38:38,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=9.144, mean=-0.256, std=2.649, absmax=11.97 +2025-10-31 17:38:38,591 ERROR: Encountered non-finite generator loss at iter 9511; skipping update. +2025-10-31 17:38:38,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,594 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,595 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:38,596 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:38,597 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:38,598 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:38,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.57, mean=-0.1577, std=2.955, absmax=12.57 +2025-10-31 17:38:38,600 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.79, max=9.022, mean=-0.168, std=2.596, absmax=12.79 +2025-10-31 17:38:39,094 ERROR: Encountered non-finite generator loss at iter 9512; skipping update. +2025-10-31 17:38:39,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,100 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:39,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:39,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.03, mean=-0.02732, std=3.148, absmax=13.03 +2025-10-31 17:38:39,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.48, mean=0.007854, std=2.68, absmax=10.99 +2025-10-31 17:38:39,598 ERROR: Encountered non-finite generator loss at iter 9513; skipping update. +2025-10-31 17:38:39,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,601 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,602 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,603 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,604 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:39,605 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:39,606 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:39,607 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:39,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.94, mean=-0.08889, std=2.976, absmax=13.37 +2025-10-31 17:38:39,609 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.861, max=7.977, mean=-0.1222, std=2.361, absmax=9.861 +2025-10-31 17:38:40,103 ERROR: Encountered non-finite generator loss at iter 9514; skipping update. +2025-10-31 17:38:40,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,107 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,108 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,109 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,110 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:40,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:40,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14, mean=-0.06739, std=3.228, absmax=14.19 +2025-10-31 17:38:40,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=9.726, mean=-0.08234, std=2.676, absmax=12.18 +2025-10-31 17:38:40,608 ERROR: Encountered non-finite generator loss at iter 9515; skipping update. +2025-10-31 17:38:40,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,614 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:40,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:40,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:40,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:40,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=10.54, mean=-0.2265, std=2.564, absmax=12.29 +2025-10-31 17:38:40,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=10.64, mean=-0.2037, std=2.287, absmax=10.64 +2025-10-31 17:38:41,114 ERROR: Encountered non-finite generator loss at iter 9516; skipping update. +2025-10-31 17:38:41,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,117 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,118 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,119 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,120 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,120 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,121 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:41,122 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:41,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.33, mean=-0.04735, std=3.058, absmax=14.33 +2025-10-31 17:38:41,124 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=12.13, mean=-0.05051, std=2.442, absmax=12.13 +2025-10-31 17:38:41,618 ERROR: Encountered non-finite generator loss at iter 9517; skipping update. +2025-10-31 17:38:41,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:41,623 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:41,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:41,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:41,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.38, mean=-0.2388, std=2.69, absmax=13.38 +2025-10-31 17:38:41,627 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.903, max=9.195, mean=-0.2346, std=2.247, absmax=9.903 +2025-10-31 17:38:42,121 ERROR: Encountered non-finite generator loss at iter 9518; skipping update. +2025-10-31 17:38:42,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:42,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:42,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=16.79, mean=-0.1326, std=3.051, absmax=16.79 +2025-10-31 17:38:42,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.92, mean=-0.1569, std=2.466, absmax=11.92 +2025-10-31 17:38:42,625 ERROR: Encountered non-finite generator loss at iter 9519; skipping update. +2025-10-31 17:38:42,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,628 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:42,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:42,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:42,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:42,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.21, mean=-0.1229, std=3.12, absmax=14.21 +2025-10-31 17:38:42,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.067, max=8.658, mean=-0.09746, std=2.519, absmax=9.067 +2025-10-31 17:38:43,128 ERROR: Encountered non-finite generator loss at iter 9520; skipping update. +2025-10-31 17:38:43,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,131 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,132 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,134 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,135 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:43,136 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:43,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.91, mean=-0.08179, std=2.948, absmax=13.91 +2025-10-31 17:38:43,138 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.358, max=11.5, mean=-0.03394, std=2.468, absmax=11.5 +2025-10-31 17:38:43,633 ERROR: Encountered non-finite generator loss at iter 9521; skipping update. +2025-10-31 17:38:43,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,636 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:43,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:43,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:43,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:43,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.45, mean=-0.1697, std=3.022, absmax=13.45 +2025-10-31 17:38:43,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=11.03, mean=-0.1582, std=2.582, absmax=11.41 +2025-10-31 17:38:44,137 ERROR: Encountered non-finite generator loss at iter 9522; skipping update. +2025-10-31 17:38:44,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,139 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:44,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:44,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.52, mean=-0.058, std=3.681, absmax=13.77 +2025-10-31 17:38:44,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=10.86, mean=-0.06856, std=2.895, absmax=11.84 +2025-10-31 17:38:44,642 ERROR: Encountered non-finite generator loss at iter 9523; skipping update. +2025-10-31 17:38:44,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,645 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,645 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,646 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,647 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:44,648 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:44,649 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:44,650 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:44,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.05, max=12.78, mean=-0.2297, std=2.92, absmax=17.05 +2025-10-31 17:38:44,652 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.88, max=8.991, mean=-0.2167, std=2.369, absmax=11.88 +2025-10-31 17:38:45,145 ERROR: Encountered non-finite generator loss at iter 9524; skipping update. +2025-10-31 17:38:45,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,149 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,150 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,151 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,152 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:45,153 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:45,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.9, mean=-0.2115, std=3.428, absmax=14.9 +2025-10-31 17:38:45,155 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=12.39, mean=-0.1977, std=2.851, absmax=12.39 +2025-10-31 17:38:45,649 ERROR: Encountered non-finite generator loss at iter 9525; skipping update. +2025-10-31 17:38:45,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,651 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:45,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:45,656 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:45,657 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:45,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.39, mean=-0.1433, std=3.238, absmax=12.39 +2025-10-31 17:38:45,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.05, mean=-0.1844, std=2.753, absmax=10.62 +2025-10-31 17:38:46,153 ERROR: Encountered non-finite generator loss at iter 9526; skipping update. +2025-10-31 17:38:46,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:46,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:46,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.34, mean=-0.0711, std=2.704, absmax=13.17 +2025-10-31 17:38:46,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.065, max=9.617, mean=-0.06434, std=2.347, absmax=9.617 +2025-10-31 17:38:46,656 ERROR: Encountered non-finite generator loss at iter 9527; skipping update. +2025-10-31 17:38:46,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,659 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,660 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:46,661 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:46,662 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:46,663 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:46,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.84, mean=-0.2475, std=3.143, absmax=14.84 +2025-10-31 17:38:46,665 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=10.98, mean=-0.2548, std=2.834, absmax=11.43 +2025-10-31 17:38:47,158 ERROR: Encountered non-finite generator loss at iter 9528; skipping update. +2025-10-31 17:38:47,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,160 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,161 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,162 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,164 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:47,165 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:47,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.09, mean=0.05036, std=3.015, absmax=13.09 +2025-10-31 17:38:47,167 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.016, max=8.886, mean=-0.00734, std=2.315, absmax=9.016 +2025-10-31 17:38:47,660 ERROR: Encountered non-finite generator loss at iter 9529; skipping update. +2025-10-31 17:38:47,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:47,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:47,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:47,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:47,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=10.22, mean=-0.1605, std=2.495, absmax=10.91 +2025-10-31 17:38:47,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=10.16, mean=-0.1357, std=2.456, absmax=11.15 +2025-10-31 17:38:48,162 ERROR: Encountered non-finite generator loss at iter 9530; skipping update. +2025-10-31 17:38:48,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,165 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,168 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,169 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:48,170 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:48,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.39, mean=-0.05832, std=3.261, absmax=14.39 +2025-10-31 17:38:48,172 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=11.77, mean=-0.03641, std=2.62, absmax=11.77 +2025-10-31 17:38:48,664 ERROR: Encountered non-finite generator loss at iter 9531; skipping update. +2025-10-31 17:38:48,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,667 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:48,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:48,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:48,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:48,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.49, mean=-0.1496, std=2.775, absmax=12.49 +2025-10-31 17:38:48,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=8.32, mean=-0.1934, std=2.407, absmax=10.12 +2025-10-31 17:38:49,166 ERROR: Encountered non-finite generator loss at iter 9532; skipping update. +2025-10-31 17:38:49,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,168 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,168 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,169 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,170 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,171 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,172 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:49,173 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:49,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=16.3, mean=0.01187, std=3.571, absmax=16.3 +2025-10-31 17:38:49,175 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=12.08, mean=0.01497, std=2.992, absmax=12.08 +2025-10-31 17:38:49,668 ERROR: Encountered non-finite generator loss at iter 9533; skipping update. +2025-10-31 17:38:49,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:49,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:49,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:49,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:49,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.47, mean=-0.2843, std=3.371, absmax=14.47 +2025-10-31 17:38:49,677 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=7.787, mean=-0.2757, std=2.508, absmax=11.63 +2025-10-31 17:38:50,169 ERROR: Encountered non-finite generator loss at iter 9534; skipping update. +2025-10-31 17:38:50,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,172 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,174 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,175 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,176 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:50,177 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:50,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=15.89, mean=0.05325, std=3.232, absmax=15.89 +2025-10-31 17:38:50,179 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.09, max=10.41, mean=0.02232, std=2.685, absmax=13.09 +2025-10-31 17:38:50,672 ERROR: Encountered non-finite generator loss at iter 9535; skipping update. +2025-10-31 17:38:50,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:50,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:50,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:50,680 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:50,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.88, mean=-0.122, std=2.472, absmax=11.29 +2025-10-31 17:38:50,682 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=7.138, mean=-0.1014, std=2.102, absmax=10.89 +2025-10-31 17:38:51,174 ERROR: Encountered non-finite generator loss at iter 9536; skipping update. +2025-10-31 17:38:51,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:51,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:51,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.77, mean=-0.07944, std=3.378, absmax=13.77 +2025-10-31 17:38:51,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=11.73, mean=-0.08274, std=2.77, absmax=11.73 +2025-10-31 17:38:51,677 ERROR: Encountered non-finite generator loss at iter 9537; skipping update. +2025-10-31 17:38:51,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,679 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,680 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:51,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:51,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:51,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:51,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.05, mean=-0.2362, std=3.11, absmax=12.28 +2025-10-31 17:38:51,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=10.52, mean=-0.2238, std=2.749, absmax=10.52 +2025-10-31 17:38:52,187 ERROR: Encountered non-finite generator loss at iter 9538; skipping update. +2025-10-31 17:38:52,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,192 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,195 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:52,196 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:52,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=13.77, mean=-0.3227, std=2.402, absmax=13.77 +2025-10-31 17:38:52,198 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.878, max=8.149, mean=-0.3321, std=2.101, absmax=9.878 +2025-10-31 17:38:52,692 ERROR: Encountered non-finite generator loss at iter 9539; skipping update. +2025-10-31 17:38:52,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:52,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:52,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:52,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:52,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.41, mean=-0.09373, std=3.075, absmax=15.41 +2025-10-31 17:38:52,702 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.49, max=13.1, mean=-0.09268, std=2.647, absmax=13.1 +2025-10-31 17:38:53,195 ERROR: Encountered non-finite generator loss at iter 9540; skipping update. +2025-10-31 17:38:53,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,198 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:53,203 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:53,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=14.01, mean=-0.2221, std=2.47, absmax=14.01 +2025-10-31 17:38:53,205 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.628, max=8.954, mean=-0.2146, std=2.069, absmax=9.628 +2025-10-31 17:38:53,700 ERROR: Encountered non-finite generator loss at iter 9541; skipping update. +2025-10-31 17:38:53,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,703 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:53,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:53,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:53,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:53,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.83, mean=-0.1986, std=2.741, absmax=12.5 +2025-10-31 17:38:53,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.527, max=9.532, mean=-0.1386, std=2.318, absmax=9.532 +2025-10-31 17:38:54,203 ERROR: Encountered non-finite generator loss at iter 9542; skipping update. +2025-10-31 17:38:54,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,209 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,210 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:54,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:54,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.88, mean=-0.08796, std=3.241, absmax=14.88 +2025-10-31 17:38:54,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=12.71, mean=-0.05689, std=2.976, absmax=12.71 +2025-10-31 17:38:54,707 ERROR: Encountered non-finite generator loss at iter 9543; skipping update. +2025-10-31 17:38:54,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,711 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:54,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:54,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:54,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:54,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.98, mean=-0.1821, std=3.053, absmax=12.98 +2025-10-31 17:38:54,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.78, max=10.16, mean=-0.1851, std=2.629, absmax=10.16 +2025-10-31 17:38:55,213 ERROR: Encountered non-finite generator loss at iter 9544; skipping update. +2025-10-31 17:38:55,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,218 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:55,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:55,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.99, mean=0.03159, std=3.129, absmax=13.99 +2025-10-31 17:38:55,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.586, max=10.72, mean=0.004381, std=2.624, absmax=10.72 +2025-10-31 17:38:55,717 ERROR: Encountered non-finite generator loss at iter 9545; skipping update. +2025-10-31 17:38:55,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,720 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,721 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,722 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:55,723 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:55,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:55,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:55,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.64, mean=0.002929, std=3.009, absmax=12.64 +2025-10-31 17:38:55,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.086, max=10.35, mean=-0.001459, std=2.481, absmax=10.35 +2025-10-31 17:38:56,221 ERROR: Encountered non-finite generator loss at iter 9546; skipping update. +2025-10-31 17:38:56,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,224 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,225 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,226 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,227 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:56,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:56,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.14, mean=-0.1845, std=2.617, absmax=13.14 +2025-10-31 17:38:56,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.901, max=9.264, mean=-0.1887, std=2.232, absmax=9.901 +2025-10-31 17:38:56,724 ERROR: Encountered non-finite generator loss at iter 9547; skipping update. +2025-10-31 17:38:56,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:56,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:56,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:56,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:56,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.25, mean=-0.2348, std=2.811, absmax=12.07 +2025-10-31 17:38:56,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=9.508, mean=-0.2646, std=2.59, absmax=10.84 +2025-10-31 17:38:57,227 ERROR: Encountered non-finite generator loss at iter 9548; skipping update. +2025-10-31 17:38:57,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,231 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,232 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,233 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:57,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:57,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=9.28, mean=-0.2358, std=2.641, absmax=12 +2025-10-31 17:38:57,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.11, max=8.639, mean=-0.2846, std=2.297, absmax=12.11 +2025-10-31 17:38:57,731 ERROR: Encountered non-finite generator loss at iter 9549; skipping update. +2025-10-31 17:38:57,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:57,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:57,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:57,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:57,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.23, mean=-0.2883, std=2.58, absmax=13.2 +2025-10-31 17:38:57,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=7.524, mean=-0.3108, std=2.237, absmax=10.12 +2025-10-31 17:38:58,234 ERROR: Encountered non-finite generator loss at iter 9550; skipping update. +2025-10-31 17:38:58,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,237 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,241 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:58,242 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:58,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.5, mean=-0.1212, std=2.953, absmax=12.36 +2025-10-31 17:38:58,244 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=9.033, mean=-0.1219, std=2.478, absmax=10.89 +2025-10-31 17:38:58,739 ERROR: Encountered non-finite generator loss at iter 9551; skipping update. +2025-10-31 17:38:58,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:58,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:58,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:58,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:58,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.86, mean=-0.09235, std=3.096, absmax=13.77 +2025-10-31 17:38:58,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=9.341, mean=-0.1274, std=2.519, absmax=10.28 +2025-10-31 17:38:59,250 ERROR: Encountered non-finite generator loss at iter 9552; skipping update. +2025-10-31 17:38:59,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,253 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,254 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:59,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:59,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.8, mean=-0.368, std=2.694, absmax=13.57 +2025-10-31 17:38:59,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.11, max=9.162, mean=-0.3466, std=2.519, absmax=13.11 +2025-10-31 17:38:59,754 ERROR: Encountered non-finite generator loss at iter 9553; skipping update. +2025-10-31 17:38:59,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,759 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,760 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:38:59,761 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:38:59,762 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:38:59,763 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:38:59,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12, mean=-0.05631, std=2.87, absmax=12 +2025-10-31 17:38:59,765 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.874, max=10.52, mean=-0.03131, std=2.499, absmax=10.52 +2025-10-31 17:39:00,261 ERROR: Encountered non-finite generator loss at iter 9554; skipping update. +2025-10-31 17:39:00,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:00,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:00,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.53, mean=-0.11, std=3.234, absmax=14.02 +2025-10-31 17:39:00,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=11.16, mean=-0.1135, std=2.864, absmax=11.31 +2025-10-31 17:39:00,764 ERROR: Encountered non-finite generator loss at iter 9555; skipping update. +2025-10-31 17:39:00,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,766 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,767 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:00,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:00,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:00,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:00,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.49, mean=-0.1473, std=2.833, absmax=12.02 +2025-10-31 17:39:00,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=8.201, mean=-0.1648, std=2.49, absmax=10.79 +2025-10-31 17:39:01,274 ERROR: Encountered non-finite generator loss at iter 9556; skipping update. +2025-10-31 17:39:01,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,275 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:01,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:01,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.59, mean=-0.2566, std=2.833, absmax=13.07 +2025-10-31 17:39:01,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=8.646, mean=-0.2339, std=2.526, absmax=10.83 +2025-10-31 17:39:01,777 ERROR: Encountered non-finite generator loss at iter 9557; skipping update. +2025-10-31 17:39:01,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,780 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,780 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,781 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:01,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:01,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:01,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:01,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.32, mean=-0.2329, std=2.949, absmax=14.02 +2025-10-31 17:39:01,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=8.473, mean=-0.2518, std=2.306, absmax=10.4 +2025-10-31 17:39:02,278 ERROR: Encountered non-finite generator loss at iter 9558; skipping update. +2025-10-31 17:39:02,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,282 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,283 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,284 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,285 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:02,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:02,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.78, mean=-0.1519, std=3.418, absmax=13.83 +2025-10-31 17:39:02,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=12.19, mean=-0.09395, std=2.89, absmax=12.19 +2025-10-31 17:39:02,782 ERROR: Encountered non-finite generator loss at iter 9559; skipping update. +2025-10-31 17:39:02,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,785 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,785 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:02,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:02,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:02,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:02,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=15.29, mean=0.2321, std=3.673, absmax=15.29 +2025-10-31 17:39:02,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=14, mean=0.1898, std=3.193, absmax=14 +2025-10-31 17:39:03,284 ERROR: Encountered non-finite generator loss at iter 9560; skipping update. +2025-10-31 17:39:03,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:03,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:03,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.97, mean=-0.2796, std=2.945, absmax=15.97 +2025-10-31 17:39:03,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=8.151, mean=-0.3035, std=2.509, absmax=10.68 +2025-10-31 17:39:03,788 ERROR: Encountered non-finite generator loss at iter 9561; skipping update. +2025-10-31 17:39:03,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,791 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:03,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:03,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:03,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:03,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=14.62, mean=0.02361, std=2.776, absmax=15.3 +2025-10-31 17:39:03,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=10.61, mean=-0.001665, std=2.346, absmax=10.61 +2025-10-31 17:39:04,291 ERROR: Encountered non-finite generator loss at iter 9562; skipping update. +2025-10-31 17:39:04,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,294 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,295 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:04,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:04,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=15.55, mean=0.007931, std=3.424, absmax=15.55 +2025-10-31 17:39:04,299 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.127, max=12.36, mean=-0.01637, std=2.787, absmax=12.36 +2025-10-31 17:39:04,792 ERROR: Encountered non-finite generator loss at iter 9563; skipping update. +2025-10-31 17:39:04,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:04,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:04,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:04,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:04,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.43, mean=-0.2118, std=2.868, absmax=12.85 +2025-10-31 17:39:04,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.883, mean=-0.1942, std=2.383, absmax=11.12 +2025-10-31 17:39:05,297 ERROR: Encountered non-finite generator loss at iter 9564; skipping update. +2025-10-31 17:39:05,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,300 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,301 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,304 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:05,306 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:05,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.82, mean=-0.2133, std=3.017, absmax=14.82 +2025-10-31 17:39:05,308 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.42, max=9.944, mean=-0.1946, std=2.577, absmax=11.42 +2025-10-31 17:39:05,801 ERROR: Encountered non-finite generator loss at iter 9565; skipping update. +2025-10-31 17:39:05,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,803 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,805 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,805 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,806 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:05,807 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:05,808 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:05,809 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:05,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.8, max=13.87, mean=-0.2364, std=3.681, absmax=15.8 +2025-10-31 17:39:05,811 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=10.78, mean=-0.2525, std=3.199, absmax=12.38 +2025-10-31 17:39:06,303 ERROR: Encountered non-finite generator loss at iter 9566; skipping update. +2025-10-31 17:39:06,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,306 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,307 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,308 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,309 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,310 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,311 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:06,312 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:06,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.17, mean=-0.2263, std=2.996, absmax=13.17 +2025-10-31 17:39:06,314 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.926, max=12.07, mean=-0.1742, std=2.535, absmax=12.07 +2025-10-31 17:39:06,807 ERROR: Encountered non-finite generator loss at iter 9567; skipping update. +2025-10-31 17:39:06,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,809 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,810 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:06,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:06,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:06,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:06,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=14.82, mean=-0.03279, std=3.746, absmax=15.14 +2025-10-31 17:39:06,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=12.39, mean=0.0261, std=3.125, absmax=12.39 +2025-10-31 17:39:07,309 ERROR: Encountered non-finite generator loss at iter 9568; skipping update. +2025-10-31 17:39:07,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,311 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,311 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,312 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,313 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,314 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,315 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:07,316 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:07,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=14.26, mean=-0.1151, std=2.982, absmax=14.26 +2025-10-31 17:39:07,318 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.784, max=11.52, mean=-0.08303, std=2.548, absmax=11.52 +2025-10-31 17:39:07,812 ERROR: Encountered non-finite generator loss at iter 9569; skipping update. +2025-10-31 17:39:07,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:07,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:07,819 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:07,820 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:07,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.53, mean=-0.259, std=3.255, absmax=12.82 +2025-10-31 17:39:07,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.66, mean=-0.1989, std=2.765, absmax=11.83 +2025-10-31 17:39:08,315 ERROR: Encountered non-finite generator loss at iter 9570; skipping update. +2025-10-31 17:39:08,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:08,324 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:08,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.7, mean=-0.2251, std=3.188, absmax=13.7 +2025-10-31 17:39:08,326 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=11.86, mean=-0.2334, std=2.666, absmax=11.86 +2025-10-31 17:39:08,820 ERROR: Encountered non-finite generator loss at iter 9571; skipping update. +2025-10-31 17:39:08,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,826 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:08,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:08,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:08,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:08,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.62, mean=-0.08978, std=2.929, absmax=14.62 +2025-10-31 17:39:08,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=11.79, mean=-0.09073, std=2.543, absmax=11.79 +2025-10-31 17:39:09,325 ERROR: Encountered non-finite generator loss at iter 9572; skipping update. +2025-10-31 17:39:09,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,329 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,331 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,333 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:09,335 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:09,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=13.66, mean=-0.02979, std=2.887, absmax=13.66 +2025-10-31 17:39:09,337 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.459, max=10.87, mean=-0.09189, std=2.362, absmax=10.87 +2025-10-31 17:39:09,831 ERROR: Encountered non-finite generator loss at iter 9573; skipping update. +2025-10-31 17:39:09,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,834 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,836 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:09,837 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:09,838 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:09,839 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:09,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.84, mean=-0.2374, std=3.119, absmax=13.83 +2025-10-31 17:39:09,841 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=8.518, mean=-0.1841, std=2.55, absmax=11.57 +2025-10-31 17:39:10,335 ERROR: Encountered non-finite generator loss at iter 9574; skipping update. +2025-10-31 17:39:10,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,337 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,337 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,339 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,340 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,341 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,342 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:10,343 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:10,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.57, mean=-0.28, std=2.854, absmax=14.57 +2025-10-31 17:39:10,345 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=9.579, mean=-0.2609, std=2.376, absmax=10.82 +2025-10-31 17:39:10,839 ERROR: Encountered non-finite generator loss at iter 9575; skipping update. +2025-10-31 17:39:10,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:10,844 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:10,844 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:10,846 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:10,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.71, max=11.81, mean=-0.2706, std=3.241, absmax=15.71 +2025-10-31 17:39:10,848 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.35, max=9.567, mean=-0.2306, std=2.761, absmax=14.35 +2025-10-31 17:39:11,342 ERROR: Encountered non-finite generator loss at iter 9576; skipping update. +2025-10-31 17:39:11,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,345 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,347 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,348 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:11,352 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:11,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=9.97, mean=-0.3197, std=2.473, absmax=11.01 +2025-10-31 17:39:11,354 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.283, max=8.345, mean=-0.29, std=2.182, absmax=9.283 +2025-10-31 17:39:11,848 ERROR: Encountered non-finite generator loss at iter 9577; skipping update. +2025-10-31 17:39:11,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,850 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:11,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:11,855 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:11,856 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:11,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.56, mean=-0.2094, std=2.77, absmax=11.88 +2025-10-31 17:39:11,858 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=8.759, mean=-0.2234, std=2.467, absmax=11.16 +2025-10-31 17:39:12,352 ERROR: Encountered non-finite generator loss at iter 9578; skipping update. +2025-10-31 17:39:12,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,355 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,356 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:12,358 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:12,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.23, mean=-0.1471, std=2.661, absmax=13.23 +2025-10-31 17:39:12,360 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.566, max=8.174, mean=-0.1503, std=2.142, absmax=8.566 +2025-10-31 17:39:12,855 ERROR: Encountered non-finite generator loss at iter 9579; skipping update. +2025-10-31 17:39:12,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,858 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:12,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:12,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:12,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:12,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.7, mean=0.07268, std=3.758, absmax=13.7 +2025-10-31 17:39:12,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=12.22, mean=0.05341, std=3.082, absmax=12.22 +2025-10-31 17:39:13,358 ERROR: Encountered non-finite generator loss at iter 9580; skipping update. +2025-10-31 17:39:13,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,361 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,364 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,365 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:13,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:13,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.57, mean=-0.09496, std=3.115, absmax=13.57 +2025-10-31 17:39:13,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.352, max=10.92, mean=-0.07672, std=2.575, absmax=10.92 +2025-10-31 17:39:13,865 ERROR: Encountered non-finite generator loss at iter 9581; skipping update. +2025-10-31 17:39:13,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,868 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,869 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,870 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,871 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:13,872 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:13,873 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:13,874 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:13,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=16.36, mean=-0.197, std=3.403, absmax=16.36 +2025-10-31 17:39:13,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.33, max=10.73, mean=-0.2029, std=2.899, absmax=12.33 +2025-10-31 17:39:14,373 ERROR: Encountered non-finite generator loss at iter 9582; skipping update. +2025-10-31 17:39:14,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,376 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,377 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,377 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,377 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,378 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:14,379 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:14,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.69, mean=-0.258, std=2.907, absmax=13.15 +2025-10-31 17:39:14,381 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.95, max=9.461, mean=-0.2503, std=2.326, absmax=9.95 +2025-10-31 17:39:14,877 ERROR: Encountered non-finite generator loss at iter 9583; skipping update. +2025-10-31 17:39:14,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:14,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:14,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:14,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:14,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=15.83, mean=-0.039, std=3.241, absmax=15.83 +2025-10-31 17:39:14,886 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.85, mean=-0.05795, std=2.816, absmax=12.1 +2025-10-31 17:39:15,380 ERROR: Encountered non-finite generator loss at iter 9584; skipping update. +2025-10-31 17:39:15,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,384 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,385 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,386 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,387 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,388 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:15,389 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:15,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.81, mean=-0.2685, std=2.54, absmax=12.81 +2025-10-31 17:39:15,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=7.988, mean=-0.2495, std=2.316, absmax=12.09 +2025-10-31 17:39:15,884 ERROR: Encountered non-finite generator loss at iter 9585; skipping update. +2025-10-31 17:39:15,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,887 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,887 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,888 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,889 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:15,890 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:15,891 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:15,892 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:15,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.34, max=9.805, mean=-0.1428, std=2.319, absmax=10.34 +2025-10-31 17:39:15,894 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.392, max=7.863, mean=-0.1448, std=2.059, absmax=9.392 +2025-10-31 17:39:16,389 ERROR: Encountered non-finite generator loss at iter 9586; skipping update. +2025-10-31 17:39:16,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,391 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,392 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,393 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,394 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,395 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,396 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:16,397 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:16,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.41, mean=-0.1559, std=2.814, absmax=12.2 +2025-10-31 17:39:16,399 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.426, max=9.472, mean=-0.1524, std=2.404, absmax=9.472 +2025-10-31 17:39:16,894 ERROR: Encountered non-finite generator loss at iter 9587; skipping update. +2025-10-31 17:39:16,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,897 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,898 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,898 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,899 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:16,900 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:16,901 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:16,902 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:16,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=11.92, mean=-0.1355, std=2.56, absmax=11.92 +2025-10-31 17:39:16,904 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.91, max=11.34, mean=-0.09975, std=2.308, absmax=11.34 +2025-10-31 17:39:17,400 ERROR: Encountered non-finite generator loss at iter 9588; skipping update. +2025-10-31 17:39:17,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,403 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,404 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,405 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:17,406 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:17,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=15.21, mean=-0.00946, std=3.507, absmax=15.21 +2025-10-31 17:39:17,408 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=12.48, mean=-0.05786, std=2.967, absmax=12.48 +2025-10-31 17:39:17,903 ERROR: Encountered non-finite generator loss at iter 9589; skipping update. +2025-10-31 17:39:17,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,906 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,907 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,908 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:17,909 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:17,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:17,911 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:17,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.18, mean=-0.2068, std=3.393, absmax=13.69 +2025-10-31 17:39:17,913 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.755, max=10.9, mean=-0.1592, std=2.859, absmax=10.9 +2025-10-31 17:39:18,407 ERROR: Encountered non-finite generator loss at iter 9590; skipping update. +2025-10-31 17:39:18,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,410 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,413 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,414 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:18,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:18,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.03, mean=-0.101, std=3.09, absmax=12.5 +2025-10-31 17:39:18,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=8.994, mean=-0.1665, std=2.475, absmax=10.27 +2025-10-31 17:39:18,913 ERROR: Encountered non-finite generator loss at iter 9591; skipping update. +2025-10-31 17:39:18,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,916 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,916 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:18,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:18,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:18,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:18,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.01, mean=-0.1795, std=3.123, absmax=14.01 +2025-10-31 17:39:18,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.868, mean=-0.1665, std=2.484, absmax=10.04 +2025-10-31 17:39:19,416 ERROR: Encountered non-finite generator loss at iter 9592; skipping update. +2025-10-31 17:39:19,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,419 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,419 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,421 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,421 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,422 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,423 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:19,424 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:19,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.01, mean=-0.1842, std=3.14, absmax=15.01 +2025-10-31 17:39:19,426 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=12.56, mean=-0.1637, std=2.613, absmax=12.56 +2025-10-31 17:39:19,920 ERROR: Encountered non-finite generator loss at iter 9593; skipping update. +2025-10-31 17:39:19,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:19,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:19,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:19,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:19,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.72, mean=-0.08758, std=2.922, absmax=13.72 +2025-10-31 17:39:19,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=9.874, mean=-0.1171, std=2.402, absmax=10.62 +2025-10-31 17:39:20,426 ERROR: Encountered non-finite generator loss at iter 9594; skipping update. +2025-10-31 17:39:20,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,428 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,429 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,431 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,432 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,433 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:20,434 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:20,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.4, mean=-0.1661, std=3.643, absmax=15.17 +2025-10-31 17:39:20,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=10.77, mean=-0.1586, std=3.005, absmax=10.77 +2025-10-31 17:39:20,931 ERROR: Encountered non-finite generator loss at iter 9595; skipping update. +2025-10-31 17:39:20,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,933 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,934 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:20,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:20,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:20,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:20,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.61, mean=-0.109, std=2.981, absmax=14.61 +2025-10-31 17:39:20,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=10.12, mean=-0.107, std=2.463, absmax=11.95 +2025-10-31 17:39:21,432 ERROR: Encountered non-finite generator loss at iter 9596; skipping update. +2025-10-31 17:39:21,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,436 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:21,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:21,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.1, mean=-0.09357, std=2.788, absmax=13.09 +2025-10-31 17:39:21,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.937, max=9.636, mean=-0.1465, std=2.274, absmax=9.937 +2025-10-31 17:39:21,938 ERROR: Encountered non-finite generator loss at iter 9597; skipping update. +2025-10-31 17:39:21,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,940 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,941 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,942 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,943 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:21,944 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:21,945 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:21,946 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:21,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=14.03, mean=0.03848, std=3.131, absmax=15.18 +2025-10-31 17:39:21,948 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=11.8, mean=0.03692, std=2.586, absmax=11.8 +2025-10-31 17:39:22,442 ERROR: Encountered non-finite generator loss at iter 9598; skipping update. +2025-10-31 17:39:22,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,444 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,445 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,446 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,447 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,448 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:22,449 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:22,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.78, mean=-0.1454, std=3.345, absmax=14.81 +2025-10-31 17:39:22,451 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=12.1, mean=-0.1004, std=3.036, absmax=12.1 +2025-10-31 17:39:22,946 ERROR: Encountered non-finite generator loss at iter 9599; skipping update. +2025-10-31 17:39:22,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,948 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,949 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,950 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,951 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:22,952 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:22,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:22,954 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:22,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.18, mean=0.1861, std=3.427, absmax=13.18 +2025-10-31 17:39:22,956 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.726, max=11.29, mean=0.129, std=2.776, absmax=11.29 +2025-10-31 17:39:23,450 ERROR: Encountered non-finite generator loss at iter 9600; skipping update. +2025-10-31 17:39:23,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,453 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,454 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,455 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,456 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:23,458 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:23,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=14.1, mean=-0.1309, std=2.498, absmax=14.1 +2025-10-31 17:39:23,460 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.339, max=9.353, mean=-0.1497, std=2.085, absmax=9.353 +2025-10-31 17:39:23,462 INFO: [29..][epoch: 0, step: 9,600, lr:(1.500e-04,)] [eta: 1 day, 15:48:10, time (data): 0.504 (0.000)] +2025-10-31 17:39:23,955 ERROR: Encountered non-finite generator loss at iter 9601; skipping update. +2025-10-31 17:39:23,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,958 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:23,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:23,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:23,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:23,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=13.48, mean=-0.1168, std=2.763, absmax=13.48 +2025-10-31 17:39:23,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.863, max=10.32, mean=-0.1936, std=2.403, absmax=10.32 +2025-10-31 17:39:24,459 ERROR: Encountered non-finite generator loss at iter 9602; skipping update. +2025-10-31 17:39:24,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,462 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,463 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:24,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:24,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.09, mean=-0.2497, std=3.011, absmax=14.64 +2025-10-31 17:39:24,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-14.18, max=9.936, mean=-0.2807, std=2.518, absmax=14.18 +2025-10-31 17:39:24,963 ERROR: Encountered non-finite generator loss at iter 9603; skipping update. +2025-10-31 17:39:24,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:24,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:24,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:24,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:24,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=10.46, mean=-0.3365, std=2.946, absmax=13.69 +2025-10-31 17:39:24,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.836, max=8.438, mean=-0.3529, std=2.435, absmax=9.836 +2025-10-31 17:39:25,468 ERROR: Encountered non-finite generator loss at iter 9604; skipping update. +2025-10-31 17:39:25,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,470 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,471 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,472 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,473 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,474 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,475 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:25,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:25,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=10.54, mean=-0.1972, std=2.681, absmax=13.52 +2025-10-31 17:39:25,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=8.078, mean=-0.2107, std=2.317, absmax=11.91 +2025-10-31 17:39:25,972 ERROR: Encountered non-finite generator loss at iter 9605; skipping update. +2025-10-31 17:39:25,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,975 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,975 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,976 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,977 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:25,978 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:25,979 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:25,980 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:25,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=15.54, mean=-0.1343, std=3.16, absmax=15.54 +2025-10-31 17:39:25,982 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=13.3, mean=-0.1164, std=2.579, absmax=13.3 +2025-10-31 17:39:26,477 ERROR: Encountered non-finite generator loss at iter 9606; skipping update. +2025-10-31 17:39:26,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,481 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,482 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,482 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,483 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,484 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:26,485 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:26,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.21, mean=-0.2634, std=2.985, absmax=13.37 +2025-10-31 17:39:26,487 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.07, mean=-0.2349, std=2.505, absmax=10.11 +2025-10-31 17:39:26,981 ERROR: Encountered non-finite generator loss at iter 9607; skipping update. +2025-10-31 17:39:26,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,984 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:26,987 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:26,989 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:26,990 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:26,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.84, max=13.77, mean=-0.1127, std=3.088, absmax=17.84 +2025-10-31 17:39:26,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.13, max=12.14, mean=-0.06745, std=2.544, absmax=12.14 +2025-10-31 17:39:27,494 ERROR: Encountered non-finite generator loss at iter 9608; skipping update. +2025-10-31 17:39:27,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:27,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:27,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:27,497 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:27,498 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:27,499 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:27,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:27,501 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:27,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.32, max=12.78, mean=-0.1421, std=2.833, absmax=19.32 +2025-10-31 17:39:27,503 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.41, max=8.553, mean=-0.186, std=2.304, absmax=12.41 +2025-10-31 17:39:27,997 ERROR: Encountered non-finite generator loss at iter 9609; skipping update. +2025-10-31 17:39:27,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,000 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,000 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,000 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:28,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:28,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.58, mean=-0.1314, std=3.244, absmax=14.58 +2025-10-31 17:39:28,006 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.78, max=11.54, mean=-0.1123, std=2.846, absmax=12.78 +2025-10-31 17:39:28,500 ERROR: Encountered non-finite generator loss at iter 9610; skipping update. +2025-10-31 17:39:28,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,502 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,504 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:28,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:28,506 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:28,507 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:28,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.04, mean=-0.08639, std=2.835, absmax=12.73 +2025-10-31 17:39:28,509 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=7.885, mean=-0.0699, std=2.277, absmax=10.63 +2025-10-31 17:39:29,003 ERROR: Encountered non-finite generator loss at iter 9611; skipping update. +2025-10-31 17:39:29,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,008 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,010 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:29,011 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:29,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.65, mean=-0.1874, std=2.847, absmax=14.65 +2025-10-31 17:39:29,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.53, mean=-0.2069, std=2.469, absmax=10.58 +2025-10-31 17:39:29,511 ERROR: Encountered non-finite generator loss at iter 9612; skipping update. +2025-10-31 17:39:29,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,514 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,514 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:29,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:29,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:29,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:29,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=10.02, mean=-0.228, std=2.421, absmax=13 +2025-10-31 17:39:29,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.613, max=7.153, mean=-0.2242, std=2.091, absmax=9.613 +2025-10-31 17:39:30,016 ERROR: Encountered non-finite generator loss at iter 9613; skipping update. +2025-10-31 17:39:30,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,018 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,019 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,022 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,023 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:30,024 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:30,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=15.98, mean=-0.2425, std=3.088, absmax=15.98 +2025-10-31 17:39:30,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=12.06, mean=-0.2503, std=2.506, absmax=12.06 +2025-10-31 17:39:30,519 ERROR: Encountered non-finite generator loss at iter 9614; skipping update. +2025-10-31 17:39:30,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,523 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,524 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:30,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:30,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:30,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:30,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.14, mean=-0.09861, std=2.638, absmax=12.58 +2025-10-31 17:39:30,529 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=8.402, mean=-0.06849, std=2.226, absmax=10.46 +2025-10-31 17:39:31,024 ERROR: Encountered non-finite generator loss at iter 9615; skipping update. +2025-10-31 17:39:31,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:31,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:31,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.85, mean=-0.224, std=2.512, absmax=12.27 +2025-10-31 17:39:31,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.001, max=9.013, mean=-0.2457, std=2.25, absmax=9.013 +2025-10-31 17:39:31,530 ERROR: Encountered non-finite generator loss at iter 9616; skipping update. +2025-10-31 17:39:31,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:31,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:31,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:31,537 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:31,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.41, mean=-0.05006, std=2.979, absmax=13.41 +2025-10-31 17:39:31,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=10.63, mean=-0.05611, std=2.656, absmax=10.63 +2025-10-31 17:39:32,034 ERROR: Encountered non-finite generator loss at iter 9617; skipping update. +2025-10-31 17:39:32,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,039 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,040 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,041 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:32,042 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:32,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.25, mean=-0.2323, std=2.469, absmax=13.25 +2025-10-31 17:39:32,044 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=10.34, mean=-0.2225, std=2.337, absmax=11.34 +2025-10-31 17:39:32,539 ERROR: Encountered non-finite generator loss at iter 9618; skipping update. +2025-10-31 17:39:32,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,541 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,542 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:32,542 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:32,543 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:32,544 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:32,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.59, mean=0.08613, std=3.312, absmax=13.34 +2025-10-31 17:39:32,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=11.17, mean=0.04414, std=2.779, absmax=11.17 +2025-10-31 17:39:33,039 ERROR: Encountered non-finite generator loss at iter 9619; skipping update. +2025-10-31 17:39:33,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,044 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,045 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,046 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:33,047 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:33,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=12.33, mean=-0.2527, std=2.702, absmax=12.33 +2025-10-31 17:39:33,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.481, max=9.271, mean=-0.3126, std=2.326, absmax=9.481 +2025-10-31 17:39:33,544 ERROR: Encountered non-finite generator loss at iter 9620; skipping update. +2025-10-31 17:39:33,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:33,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:33,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:33,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:33,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.68, mean=-0.1134, std=3.304, absmax=12.68 +2025-10-31 17:39:33,555 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=11.06, mean=-0.1214, std=2.797, absmax=11.06 +2025-10-31 17:39:34,049 ERROR: Encountered non-finite generator loss at iter 9621; skipping update. +2025-10-31 17:39:34,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,053 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,054 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,055 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,056 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:34,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:34,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.16, mean=-0.2401, std=3.206, absmax=13.13 +2025-10-31 17:39:34,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.28, max=9.619, mean=-0.2169, std=2.68, absmax=11.28 +2025-10-31 17:39:34,552 ERROR: Encountered non-finite generator loss at iter 9622; skipping update. +2025-10-31 17:39:34,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,554 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,555 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,556 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:34,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:34,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:34,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:34,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.27, mean=-0.1939, std=2.81, absmax=12.27 +2025-10-31 17:39:34,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=9.469, mean=-0.1768, std=2.428, absmax=10.64 +2025-10-31 17:39:35,055 ERROR: Encountered non-finite generator loss at iter 9623; skipping update. +2025-10-31 17:39:35,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,059 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,060 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,061 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:35,062 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:35,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.87, mean=-0.01076, std=3.137, absmax=12.87 +2025-10-31 17:39:35,064 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.913, max=10.54, mean=-0.02952, std=2.716, absmax=10.54 +2025-10-31 17:39:35,559 ERROR: Encountered non-finite generator loss at iter 9624; skipping update. +2025-10-31 17:39:35,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:35,566 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:35,567 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:35,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:35,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.35, mean=-0.1563, std=2.952, absmax=13.22 +2025-10-31 17:39:35,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.306, mean=-0.232, std=2.406, absmax=10.76 +2025-10-31 17:39:36,063 ERROR: Encountered non-finite generator loss at iter 9625; skipping update. +2025-10-31 17:39:36,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,067 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,069 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,070 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:36,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:36,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.05, mean=-0.08589, std=3.124, absmax=14.05 +2025-10-31 17:39:36,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.09, max=8.658, mean=-0.1348, std=2.876, absmax=12.09 +2025-10-31 17:39:36,568 ERROR: Encountered non-finite generator loss at iter 9626; skipping update. +2025-10-31 17:39:36,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,571 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,573 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:36,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:36,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:36,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:36,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.02, mean=-0.1872, std=3.222, absmax=14.02 +2025-10-31 17:39:36,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.91, max=10.99, mean=-0.2138, std=2.818, absmax=11.91 +2025-10-31 17:39:37,073 ERROR: Encountered non-finite generator loss at iter 9627; skipping update. +2025-10-31 17:39:37,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,076 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,077 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,078 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,079 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:37,080 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:37,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.12, mean=0.03737, std=2.787, absmax=12.12 +2025-10-31 17:39:37,082 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.886, max=10.09, mean=-0.01195, std=2.404, absmax=10.09 +2025-10-31 17:39:37,576 ERROR: Encountered non-finite generator loss at iter 9628; skipping update. +2025-10-31 17:39:37,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,582 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:37,583 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:37,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:37,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:37,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.29, mean=-0.1724, std=3.224, absmax=13.31 +2025-10-31 17:39:37,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.768, mean=-0.1499, std=2.723, absmax=10.88 +2025-10-31 17:39:38,082 ERROR: Encountered non-finite generator loss at iter 9629; skipping update. +2025-10-31 17:39:38,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,086 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,087 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,088 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,089 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,090 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:38,091 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:38,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.58, mean=-0.2901, std=2.601, absmax=12.58 +2025-10-31 17:39:38,093 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.367, max=7.533, mean=-0.2647, std=2.197, absmax=8.367 +2025-10-31 17:39:38,588 ERROR: Encountered non-finite generator loss at iter 9630; skipping update. +2025-10-31 17:39:38,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,592 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,593 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:38,594 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:38,595 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:38,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:38,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=13.05, mean=-0.3089, std=2.929, absmax=15.2 +2025-10-31 17:39:38,598 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=10.31, mean=-0.2732, std=2.612, absmax=11.16 +2025-10-31 17:39:39,092 ERROR: Encountered non-finite generator loss at iter 9631; skipping update. +2025-10-31 17:39:39,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,096 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,097 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:39,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:39,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.68, mean=-0.1455, std=2.826, absmax=12.68 +2025-10-31 17:39:39,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.918, max=8.881, mean=-0.1758, std=2.42, absmax=9.918 +2025-10-31 17:39:39,596 ERROR: Encountered non-finite generator loss at iter 9632; skipping update. +2025-10-31 17:39:39,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:39,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:39,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:39,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:39,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=14.55, mean=-0.08026, std=3.158, absmax=14.55 +2025-10-31 17:39:39,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.51, mean=-0.06722, std=2.709, absmax=12.51 +2025-10-31 17:39:40,101 ERROR: Encountered non-finite generator loss at iter 9633; skipping update. +2025-10-31 17:39:40,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,104 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,105 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,106 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,107 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,108 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,108 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:40,109 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:40,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13, mean=-0.1265, std=2.988, absmax=13 +2025-10-31 17:39:40,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.472, max=9.553, mean=-0.1243, std=2.414, absmax=9.553 +2025-10-31 17:39:40,604 ERROR: Encountered non-finite generator loss at iter 9634; skipping update. +2025-10-31 17:39:40,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,607 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:40,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:40,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:40,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:40,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.52, mean=-0.1042, std=2.795, absmax=13.52 +2025-10-31 17:39:40,619 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.292, max=8.33, mean=-0.09868, std=2.265, absmax=9.292 +2025-10-31 17:39:41,114 ERROR: Encountered non-finite generator loss at iter 9635; skipping update. +2025-10-31 17:39:41,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,116 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:41,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:41,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.69, mean=-0.2429, std=2.999, absmax=13.52 +2025-10-31 17:39:41,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.081, mean=-0.2317, std=2.446, absmax=11.82 +2025-10-31 17:39:41,617 ERROR: Encountered non-finite generator loss at iter 9636; skipping update. +2025-10-31 17:39:41,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,621 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:41,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:41,625 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:41,626 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:41,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.78, mean=-0.1732, std=3.123, absmax=13.06 +2025-10-31 17:39:41,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=8.9, mean=-0.1919, std=2.447, absmax=10.62 +2025-10-31 17:39:42,121 ERROR: Encountered non-finite generator loss at iter 9637; skipping update. +2025-10-31 17:39:42,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:42,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:42,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.5, mean=-0.1592, std=2.551, absmax=13.72 +2025-10-31 17:39:42,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.181, max=11.04, mean=-0.19, std=2.328, absmax=11.04 +2025-10-31 17:39:42,625 ERROR: Encountered non-finite generator loss at iter 9638; skipping update. +2025-10-31 17:39:42,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,628 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,629 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,630 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:42,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:42,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:42,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:42,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=15.5, mean=-0.154, std=3.088, absmax=15.5 +2025-10-31 17:39:42,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=11.11, mean=-0.184, std=2.657, absmax=11.11 +2025-10-31 17:39:43,129 ERROR: Encountered non-finite generator loss at iter 9639; skipping update. +2025-10-31 17:39:43,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,133 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:43,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:43,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=9.588, mean=-0.2787, std=2.605, absmax=11.08 +2025-10-31 17:39:43,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.309, max=6.783, mean=-0.2423, std=2.174, absmax=9.309 +2025-10-31 17:39:43,630 ERROR: Encountered non-finite generator loss at iter 9640; skipping update. +2025-10-31 17:39:43,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,633 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,634 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,635 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:43,636 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:43,637 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:43,638 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:43,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.78, mean=0.01646, std=3.62, absmax=14.78 +2025-10-31 17:39:43,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=14.34, mean=0.0332, std=3.13, absmax=14.34 +2025-10-31 17:39:44,132 ERROR: Encountered non-finite generator loss at iter 9641; skipping update. +2025-10-31 17:39:44,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,134 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,136 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,137 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,138 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:44,139 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:44,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.15, mean=-0.2073, std=3.336, absmax=13.15 +2025-10-31 17:39:44,141 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=11.9, mean=-0.218, std=2.804, absmax=11.99 +2025-10-31 17:39:44,633 ERROR: Encountered non-finite generator loss at iter 9642; skipping update. +2025-10-31 17:39:44,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,638 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:44,639 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:44,640 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:44,641 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:44,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.81, mean=-0.1498, std=3.026, absmax=13.23 +2025-10-31 17:39:44,643 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.95, max=10.44, mean=-0.1278, std=2.535, absmax=11.95 +2025-10-31 17:39:45,135 ERROR: Encountered non-finite generator loss at iter 9643; skipping update. +2025-10-31 17:39:45,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,137 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,142 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:45,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:45,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=9.618, mean=-0.2522, std=2.365, absmax=12.31 +2025-10-31 17:39:45,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.52, max=8.469, mean=-0.238, std=2.12, absmax=11.52 +2025-10-31 17:39:45,638 ERROR: Encountered non-finite generator loss at iter 9644; skipping update. +2025-10-31 17:39:45,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,640 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,641 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,642 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:45,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:45,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:45,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:45,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.23, mean=-0.08931, std=3.414, absmax=12.76 +2025-10-31 17:39:45,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=9.37, mean=-0.06506, std=2.682, absmax=10.69 +2025-10-31 17:39:46,138 ERROR: Encountered non-finite generator loss at iter 9645; skipping update. +2025-10-31 17:39:46,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,141 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,142 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,143 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,144 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,145 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,146 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:46,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:46,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.38, max=10.89, mean=-0.2971, std=3.225, absmax=16.38 +2025-10-31 17:39:46,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.3, max=9.781, mean=-0.2755, std=2.873, absmax=12.3 +2025-10-31 17:39:46,640 ERROR: Encountered non-finite generator loss at iter 9646; skipping update. +2025-10-31 17:39:46,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,643 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,644 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:46,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:46,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:46,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:46,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=11.49, mean=-0.06706, std=2.865, absmax=11.49 +2025-10-31 17:39:46,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=10.75, mean=-0.1318, std=2.488, absmax=10.75 +2025-10-31 17:39:47,140 ERROR: Encountered non-finite generator loss at iter 9647; skipping update. +2025-10-31 17:39:47,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:47,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:47,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.15, mean=-0.1235, std=2.929, absmax=12.15 +2025-10-31 17:39:47,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.425, max=9.667, mean=-0.113, std=2.401, absmax=9.667 +2025-10-31 17:39:47,643 ERROR: Encountered non-finite generator loss at iter 9648; skipping update. +2025-10-31 17:39:47,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,646 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,646 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,647 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,648 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:47,649 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:47,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:47,651 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:47,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.05, mean=-0.3685, std=3.246, absmax=12.65 +2025-10-31 17:39:47,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=8.882, mean=-0.3746, std=2.895, absmax=11.94 +2025-10-31 17:39:48,144 ERROR: Encountered non-finite generator loss at iter 9649; skipping update. +2025-10-31 17:39:48,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,147 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,147 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,148 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,149 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,150 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,151 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:48,152 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:48,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.78, mean=-0.1955, std=2.632, absmax=14.78 +2025-10-31 17:39:48,154 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=9.703, mean=-0.1871, std=2.214, absmax=10.01 +2025-10-31 17:39:48,646 ERROR: Encountered non-finite generator loss at iter 9650; skipping update. +2025-10-31 17:39:48,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,649 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,650 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,651 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:48,652 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:48,653 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:48,654 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:48,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.29, mean=-0.2759, std=3.318, absmax=13.85 +2025-10-31 17:39:48,656 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.524, mean=-0.2115, std=2.583, absmax=10.35 +2025-10-31 17:39:49,148 ERROR: Encountered non-finite generator loss at iter 9651; skipping update. +2025-10-31 17:39:49,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,151 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,151 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,152 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,153 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,154 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,155 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:49,156 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:49,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.9, max=14.8, mean=-0.3052, std=3.158, absmax=17.9 +2025-10-31 17:39:49,158 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.2, mean=-0.3147, std=2.673, absmax=10.58 +2025-10-31 17:39:49,650 ERROR: Encountered non-finite generator loss at iter 9652; skipping update. +2025-10-31 17:39:49,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,653 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,653 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:49,653 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:49,654 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:49,655 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:49,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.28, mean=-0.2536, std=3.265, absmax=13.91 +2025-10-31 17:39:49,657 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.439, mean=-0.2912, std=2.729, absmax=10.81 +2025-10-31 17:39:50,149 ERROR: Encountered non-finite generator loss at iter 9653; skipping update. +2025-10-31 17:39:50,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,153 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,154 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,155 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,156 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,157 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:50,158 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:50,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.33, mean=-0.02162, std=2.743, absmax=12.33 +2025-10-31 17:39:50,160 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.195, max=10.53, mean=-0.03453, std=2.295, absmax=10.53 +2025-10-31 17:39:50,652 ERROR: Encountered non-finite generator loss at iter 9654; skipping update. +2025-10-31 17:39:50,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:50,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:50,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:50,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:50,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=14.11, mean=0.02988, std=3.558, absmax=14.13 +2025-10-31 17:39:50,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.671, max=11.13, mean=0.004109, std=2.786, absmax=11.13 +2025-10-31 17:39:51,155 ERROR: Encountered non-finite generator loss at iter 9655; skipping update. +2025-10-31 17:39:51,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:51,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:51,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.69, mean=-0.1488, std=3.07, absmax=13.69 +2025-10-31 17:39:51,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=11.06, mean=-0.1377, std=2.529, absmax=11.06 +2025-10-31 17:39:51,657 ERROR: Encountered non-finite generator loss at iter 9656; skipping update. +2025-10-31 17:39:51,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,662 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:51,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:51,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:51,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:51,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.58, mean=-0.001439, std=2.855, absmax=13.58 +2025-10-31 17:39:51,667 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.843, max=9.883, mean=-0.001214, std=2.354, absmax=9.883 +2025-10-31 17:39:52,159 ERROR: Encountered non-finite generator loss at iter 9657; skipping update. +2025-10-31 17:39:52,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,161 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:52,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:52,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.32, mean=-0.1504, std=2.658, absmax=12.57 +2025-10-31 17:39:52,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.53, mean=-0.1852, std=2.255, absmax=10.53 +2025-10-31 17:39:52,659 ERROR: Encountered non-finite generator loss at iter 9658; skipping update. +2025-10-31 17:39:52,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,662 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:52,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:52,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:52,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:52,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.25, mean=-0.07597, std=2.904, absmax=12.3 +2025-10-31 17:39:52,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.38, max=9.054, mean=-0.04908, std=2.568, absmax=9.38 +2025-10-31 17:39:53,160 ERROR: Encountered non-finite generator loss at iter 9659; skipping update. +2025-10-31 17:39:53,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,163 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,163 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,164 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,165 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:53,166 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:53,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=11.92, mean=-0.2005, std=2.515, absmax=13.87 +2025-10-31 17:39:53,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=10.25, mean=-0.1897, std=2.125, absmax=10.87 +2025-10-31 17:39:53,660 ERROR: Encountered non-finite generator loss at iter 9660; skipping update. +2025-10-31 17:39:53,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:53,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:53,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:53,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:53,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.61, mean=-0.1182, std=2.886, absmax=13.02 +2025-10-31 17:39:53,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.321, max=8.963, mean=-0.1539, std=2.354, absmax=9.321 +2025-10-31 17:39:54,161 ERROR: Encountered non-finite generator loss at iter 9661; skipping update. +2025-10-31 17:39:54,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,164 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:54,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:54,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.55, mean=-0.06916, std=3.49, absmax=13.55 +2025-10-31 17:39:54,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.703, max=13.28, mean=-0.02317, std=3.008, absmax=13.28 +2025-10-31 17:39:54,662 ERROR: Encountered non-finite generator loss at iter 9662; skipping update. +2025-10-31 17:39:54,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:54,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:54,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:54,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:54,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.1, mean=0.02217, std=3.162, absmax=13.25 +2025-10-31 17:39:54,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.856, max=10.12, mean=0.007219, std=2.701, absmax=10.12 +2025-10-31 17:39:55,164 ERROR: Encountered non-finite generator loss at iter 9663; skipping update. +2025-10-31 17:39:55,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,167 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:55,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:55,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.29, mean=-0.1879, std=3.053, absmax=13.83 +2025-10-31 17:39:55,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=10.68, mean=-0.1791, std=2.543, absmax=10.68 +2025-10-31 17:39:55,661 ERROR: Encountered non-finite generator loss at iter 9664; skipping update. +2025-10-31 17:39:55,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,664 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,665 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:55,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:55,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:55,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:55,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.43, mean=-0.139, std=2.531, absmax=12.43 +2025-10-31 17:39:55,671 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.344, mean=-0.1981, std=2.197, absmax=10.69 +2025-10-31 17:39:56,162 ERROR: Encountered non-finite generator loss at iter 9665; skipping update. +2025-10-31 17:39:56,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,165 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:56,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:56,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=15.77, mean=-0.09239, std=2.979, absmax=15.77 +2025-10-31 17:39:56,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=11.94, mean=-0.0999, std=2.592, absmax=11.94 +2025-10-31 17:39:56,667 ERROR: Encountered non-finite generator loss at iter 9666; skipping update. +2025-10-31 17:39:56,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:56,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:56,674 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:56,675 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:56,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.88, mean=-0.1305, std=3.445, absmax=13.24 +2025-10-31 17:39:56,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.923, max=13.96, mean=-0.04849, std=3.196, absmax=13.96 +2025-10-31 17:39:57,170 ERROR: Encountered non-finite generator loss at iter 9667; skipping update. +2025-10-31 17:39:57,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,175 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,177 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:57,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:57,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.33, mean=-0.2633, std=3.001, absmax=12.33 +2025-10-31 17:39:57,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.412, max=8.573, mean=-0.2304, std=2.443, absmax=9.412 +2025-10-31 17:39:57,675 ERROR: Encountered non-finite generator loss at iter 9668; skipping update. +2025-10-31 17:39:57,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,678 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,679 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,680 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,681 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:57,682 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:57,683 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:57,684 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:57,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.38, mean=0.005656, std=3.427, absmax=15.38 +2025-10-31 17:39:57,686 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=13.29, mean=-0.02975, std=3.062, absmax=13.29 +2025-10-31 17:39:58,179 ERROR: Encountered non-finite generator loss at iter 9669; skipping update. +2025-10-31 17:39:58,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,182 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,183 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,183 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,184 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,185 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,186 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:58,187 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:58,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=20.5, mean=-0.1533, std=2.802, absmax=20.5 +2025-10-31 17:39:58,189 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.45, max=13.59, mean=-0.1527, std=2.356, absmax=13.59 +2025-10-31 17:39:58,684 ERROR: Encountered non-finite generator loss at iter 9670; skipping update. +2025-10-31 17:39:58,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,686 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,687 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,687 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,687 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:58,688 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:58,689 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:58,690 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:58,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.96, mean=0.001684, std=3.419, absmax=14.96 +2025-10-31 17:39:58,692 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.73, mean=-0.04995, std=2.635, absmax=11.73 +2025-10-31 17:39:59,185 ERROR: Encountered non-finite generator loss at iter 9671; skipping update. +2025-10-31 17:39:59,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,188 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:59,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:59,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.16, mean=-0.3329, std=3.302, absmax=13.3 +2025-10-31 17:39:59,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=8.356, mean=-0.3304, std=2.771, absmax=10.61 +2025-10-31 17:39:59,689 ERROR: Encountered non-finite generator loss at iter 9672; skipping update. +2025-10-31 17:39:59,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,691 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,692 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:39:59,693 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:39:59,694 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:39:59,695 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:39:59,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.2, mean=-0.03284, std=2.765, absmax=13.2 +2025-10-31 17:39:59,697 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.994, max=8.782, mean=-0.08035, std=2.229, absmax=8.994 +2025-10-31 17:40:00,192 ERROR: Encountered non-finite generator loss at iter 9673; skipping update. +2025-10-31 17:40:00,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,194 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,195 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:00,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:00,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.05, mean=-0.1905, std=2.627, absmax=13.35 +2025-10-31 17:40:00,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.351, mean=-0.274, std=2.391, absmax=10.44 +2025-10-31 17:40:00,696 ERROR: Encountered non-finite generator loss at iter 9674; skipping update. +2025-10-31 17:40:00,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,699 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:00,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:00,702 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:00,703 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:00,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.95, mean=-0.3031, std=3.099, absmax=13.58 +2025-10-31 17:40:00,705 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.511, mean=-0.2977, std=2.617, absmax=10.43 +2025-10-31 17:40:01,199 ERROR: Encountered non-finite generator loss at iter 9675; skipping update. +2025-10-31 17:40:01,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,202 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,203 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,204 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:01,205 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:01,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=12.43, mean=-0.115, std=2.977, absmax=14.77 +2025-10-31 17:40:01,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.19, max=10.45, mean=-0.1142, std=2.372, absmax=11.19 +2025-10-31 17:40:01,702 ERROR: Encountered non-finite generator loss at iter 9676; skipping update. +2025-10-31 17:40:01,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,705 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:01,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:01,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:01,709 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:01,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.25, mean=-0.1358, std=2.859, absmax=12.26 +2025-10-31 17:40:01,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.595, max=10.27, mean=-0.1256, std=2.319, absmax=10.27 +2025-10-31 17:40:02,205 ERROR: Encountered non-finite generator loss at iter 9677; skipping update. +2025-10-31 17:40:02,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,208 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:02,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:02,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.26, mean=-0.1253, std=2.674, absmax=12.3 +2025-10-31 17:40:02,214 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=9.621, mean=-0.1361, std=2.359, absmax=11.22 +2025-10-31 17:40:02,709 ERROR: Encountered non-finite generator loss at iter 9678; skipping update. +2025-10-31 17:40:02,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,712 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,713 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:02,714 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:02,715 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:02,716 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:02,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=14.67, mean=-0.1767, std=2.653, absmax=14.67 +2025-10-31 17:40:02,718 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.602, max=11.72, mean=-0.1494, std=2.219, absmax=11.72 +2025-10-31 17:40:03,212 ERROR: Encountered non-finite generator loss at iter 9679; skipping update. +2025-10-31 17:40:03,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,215 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,216 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,217 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,218 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:03,219 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:03,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.14, mean=0.001441, std=3.222, absmax=13.94 +2025-10-31 17:40:03,221 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=10.83, mean=-0.03773, std=2.594, absmax=10.83 +2025-10-31 17:40:03,716 ERROR: Encountered non-finite generator loss at iter 9680; skipping update. +2025-10-31 17:40:03,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,718 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,719 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,720 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:03,721 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:03,722 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:03,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:03,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.02, mean=-0.04339, std=2.824, absmax=13.09 +2025-10-31 17:40:03,725 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.837, max=10.61, mean=-0.01356, std=2.321, absmax=10.61 +2025-10-31 17:40:04,219 ERROR: Encountered non-finite generator loss at iter 9681; skipping update. +2025-10-31 17:40:04,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,221 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,221 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,222 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,223 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,224 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,225 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:04,226 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:04,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=14.36, mean=-0.2208, std=2.967, absmax=15.21 +2025-10-31 17:40:04,228 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.51, max=8.834, mean=-0.2329, std=2.409, absmax=12.51 +2025-10-31 17:40:04,722 ERROR: Encountered non-finite generator loss at iter 9682; skipping update. +2025-10-31 17:40:04,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:04,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:04,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:04,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:04,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.41, max=13.45, mean=0.09725, std=3.536, absmax=17.41 +2025-10-31 17:40:04,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=11.63, mean=0.09076, std=2.896, absmax=11.63 +2025-10-31 17:40:05,225 ERROR: Encountered non-finite generator loss at iter 9683; skipping update. +2025-10-31 17:40:05,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,227 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,228 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,228 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,228 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:05,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:05,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.04, mean=-0.2808, std=3.263, absmax=14.04 +2025-10-31 17:40:05,231 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.13, max=10.43, mean=-0.2377, std=2.804, absmax=11.13 +2025-10-31 17:40:05,724 ERROR: Encountered non-finite generator loss at iter 9684; skipping update. +2025-10-31 17:40:05,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,727 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,727 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,727 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:05,728 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:05,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:05,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:05,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.71, mean=-0.1132, std=3.254, absmax=14.71 +2025-10-31 17:40:05,732 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=12.11, mean=-0.1281, std=2.648, absmax=12.11 +2025-10-31 17:40:06,226 ERROR: Encountered non-finite generator loss at iter 9685; skipping update. +2025-10-31 17:40:06,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,231 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:06,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:06,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=15.42, mean=-0.1782, std=2.947, absmax=15.42 +2025-10-31 17:40:06,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.342, max=10.58, mean=-0.1892, std=2.424, absmax=10.58 +2025-10-31 17:40:06,730 ERROR: Encountered non-finite generator loss at iter 9686; skipping update. +2025-10-31 17:40:06,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,732 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,733 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,734 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:06,735 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:06,736 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:06,737 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:06,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=18.41, mean=-0.1539, std=3.588, absmax=18.41 +2025-10-31 17:40:06,740 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=11.94, mean=-0.1416, std=2.999, absmax=11.94 +2025-10-31 17:40:07,234 ERROR: Encountered non-finite generator loss at iter 9687; skipping update. +2025-10-31 17:40:07,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,235 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:07,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:07,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.73, mean=-0.02653, std=2.874, absmax=13.73 +2025-10-31 17:40:07,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.7, mean=0.02145, std=2.439, absmax=10.7 +2025-10-31 17:40:07,737 ERROR: Encountered non-finite generator loss at iter 9688; skipping update. +2025-10-31 17:40:07,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,741 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,742 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:07,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:07,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:07,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:07,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.25, mean=-0.1698, std=2.625, absmax=12.97 +2025-10-31 17:40:07,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=8.608, mean=-0.1298, std=2.257, absmax=10.38 +2025-10-31 17:40:08,240 ERROR: Encountered non-finite generator loss at iter 9689; skipping update. +2025-10-31 17:40:08,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,244 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,244 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:08,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:08,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.34, mean=-0.3062, std=3, absmax=13.96 +2025-10-31 17:40:08,249 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=8.14, mean=-0.2639, std=2.542, absmax=10.39 +2025-10-31 17:40:08,744 ERROR: Encountered non-finite generator loss at iter 9690; skipping update. +2025-10-31 17:40:08,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:08,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:08,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:08,751 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:08,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=13.83, mean=-0.2406, std=3.827, absmax=14.4 +2025-10-31 17:40:08,752 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.56, max=11.02, mean=-0.2229, std=3.217, absmax=11.56 +2025-10-31 17:40:09,247 ERROR: Encountered non-finite generator loss at iter 9691; skipping update. +2025-10-31 17:40:09,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,251 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,252 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:09,255 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:09,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.04, mean=-0.08156, std=2.506, absmax=13.19 +2025-10-31 17:40:09,257 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=10.78, mean=-0.09174, std=2.291, absmax=10.78 +2025-10-31 17:40:09,751 ERROR: Encountered non-finite generator loss at iter 9692; skipping update. +2025-10-31 17:40:09,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,753 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,754 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,755 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,756 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:09,756 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:09,756 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:09,757 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:09,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.23, mean=-0.292, std=2.518, absmax=12.49 +2025-10-31 17:40:09,759 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.66, max=10.19, mean=-0.2898, std=2.227, absmax=11.66 +2025-10-31 17:40:10,254 ERROR: Encountered non-finite generator loss at iter 9693; skipping update. +2025-10-31 17:40:10,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,256 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,256 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,257 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,257 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,259 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,260 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:10,261 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:10,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=16.83, mean=0.1181, std=3.49, absmax=16.83 +2025-10-31 17:40:10,263 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=13.93, mean=0.08332, std=2.876, absmax=13.93 +2025-10-31 17:40:10,757 ERROR: Encountered non-finite generator loss at iter 9694; skipping update. +2025-10-31 17:40:10,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,758 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,759 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,760 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,761 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:10,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:10,763 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:10,764 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:10,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.37, mean=-0.1294, std=3.064, absmax=13.26 +2025-10-31 17:40:10,766 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.665, mean=-0.08037, std=2.522, absmax=10.43 +2025-10-31 17:40:11,260 ERROR: Encountered non-finite generator loss at iter 9695; skipping update. +2025-10-31 17:40:11,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,265 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,266 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,267 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,268 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:11,269 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:11,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.39, mean=-0.0595, std=3.317, absmax=14.39 +2025-10-31 17:40:11,271 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.22, max=11.71, mean=-0.02319, std=2.813, absmax=11.71 +2025-10-31 17:40:11,765 ERROR: Encountered non-finite generator loss at iter 9696; skipping update. +2025-10-31 17:40:11,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,767 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,769 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,770 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:11,771 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:11,772 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:11,773 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:11,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.56, mean=-0.2664, std=2.725, absmax=13.13 +2025-10-31 17:40:11,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.27, max=10.92, mean=-0.2952, std=2.465, absmax=12.27 +2025-10-31 17:40:12,271 ERROR: Encountered non-finite generator loss at iter 9697; skipping update. +2025-10-31 17:40:12,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,274 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:12,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:12,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.99, mean=-0.1469, std=2.639, absmax=12.99 +2025-10-31 17:40:12,280 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.556, max=8.669, mean=-0.1402, std=2.178, absmax=8.669 +2025-10-31 17:40:12,775 ERROR: Encountered non-finite generator loss at iter 9698; skipping update. +2025-10-31 17:40:12,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,778 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:12,778 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:12,779 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:12,780 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:12,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.91, mean=-0.1076, std=2.917, absmax=12.91 +2025-10-31 17:40:12,782 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.242, max=10.03, mean=-0.1299, std=2.402, absmax=10.03 +2025-10-31 17:40:13,277 ERROR: Encountered non-finite generator loss at iter 9699; skipping update. +2025-10-31 17:40:13,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,280 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,282 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,283 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,284 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:13,285 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:13,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.09, mean=-0.0421, std=3.097, absmax=13.09 +2025-10-31 17:40:13,287 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=8.695, mean=-0.0998, std=2.417, absmax=11.08 +2025-10-31 17:40:13,781 ERROR: Encountered non-finite generator loss at iter 9700; skipping update. +2025-10-31 17:40:13,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:13,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:13,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:13,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:13,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13.26, mean=-0.02155, std=2.851, absmax=13.26 +2025-10-31 17:40:13,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.144, max=9.775, mean=-0.03449, std=2.251, absmax=9.775 +2025-10-31 17:40:13,792 INFO: [29..][epoch: 0, step: 9,700, lr:(1.500e-04,)] [eta: 1 day, 15:43:21, time (data): 0.503 (0.000)] +2025-10-31 17:40:14,285 ERROR: Encountered non-finite generator loss at iter 9701; skipping update. +2025-10-31 17:40:14,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:14,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:14,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.64, mean=-0.3756, std=3.451, absmax=13.43 +2025-10-31 17:40:14,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=8.768, mean=-0.3817, std=3.019, absmax=11.76 +2025-10-31 17:40:14,788 ERROR: Encountered non-finite generator loss at iter 9702; skipping update. +2025-10-31 17:40:14,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:14,791 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:14,792 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:14,793 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:14,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=11.87, mean=-0.2414, std=3.017, absmax=14.84 +2025-10-31 17:40:14,795 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=9.59, mean=-0.2562, std=2.616, absmax=10.82 +2025-10-31 17:40:15,290 ERROR: Encountered non-finite generator loss at iter 9703; skipping update. +2025-10-31 17:40:15,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:15,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:15,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.58, mean=0.05215, std=2.928, absmax=13.58 +2025-10-31 17:40:15,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.972, max=10.77, mean=0.01715, std=2.633, absmax=10.77 +2025-10-31 17:40:15,795 ERROR: Encountered non-finite generator loss at iter 9704; skipping update. +2025-10-31 17:40:15,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,799 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:15,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:15,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:15,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:15,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.34, mean=-0.05532, std=3.402, absmax=13.34 +2025-10-31 17:40:15,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.01, max=9.519, mean=-0.04398, std=3.104, absmax=12.01 +2025-10-31 17:40:16,300 ERROR: Encountered non-finite generator loss at iter 9705; skipping update. +2025-10-31 17:40:16,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,306 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,307 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:16,308 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:16,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.15, mean=-0.04612, std=2.793, absmax=13.15 +2025-10-31 17:40:16,310 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.347, max=8.627, mean=-0.08702, std=2.24, absmax=9.347 +2025-10-31 17:40:16,805 ERROR: Encountered non-finite generator loss at iter 9706; skipping update. +2025-10-31 17:40:16,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,807 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,808 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,809 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:16,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:16,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:16,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:16,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.21, mean=-0.1183, std=2.894, absmax=13.21 +2025-10-31 17:40:16,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=9.048, mean=-0.115, std=2.481, absmax=11.55 +2025-10-31 17:40:17,309 ERROR: Encountered non-finite generator loss at iter 9707; skipping update. +2025-10-31 17:40:17,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,312 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,313 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,314 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,315 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,316 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,317 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:17,318 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:17,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=12.11, mean=-0.2626, std=3.149, absmax=14.24 +2025-10-31 17:40:17,320 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=8.7, mean=-0.3398, std=2.656, absmax=11.29 +2025-10-31 17:40:17,814 ERROR: Encountered non-finite generator loss at iter 9708; skipping update. +2025-10-31 17:40:17,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,817 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,817 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,817 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,818 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:17,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:17,820 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:17,821 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:17,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=13.08, mean=-0.1183, std=3.291, absmax=14.36 +2025-10-31 17:40:17,822 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.783, max=9.077, mean=-0.1261, std=2.574, absmax=9.783 +2025-10-31 17:40:18,315 ERROR: Encountered non-finite generator loss at iter 9709; skipping update. +2025-10-31 17:40:18,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,318 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,319 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,320 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,321 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,322 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,323 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:18,323 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:18,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=16.4, mean=0.05741, std=3.102, absmax=16.4 +2025-10-31 17:40:18,325 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.728, max=10.1, mean=0.06189, std=2.593, absmax=10.1 +2025-10-31 17:40:18,820 ERROR: Encountered non-finite generator loss at iter 9710; skipping update. +2025-10-31 17:40:18,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,822 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,823 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,824 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:18,825 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:18,826 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:18,827 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:18,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=11.05, mean=-0.2436, std=3.448, absmax=14.64 +2025-10-31 17:40:18,829 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.82, max=9.789, mean=-0.2446, std=3.135, absmax=13.82 +2025-10-31 17:40:19,322 ERROR: Encountered non-finite generator loss at iter 9711; skipping update. +2025-10-31 17:40:19,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,325 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,325 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,326 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,327 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,328 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,329 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:19,330 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:19,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.87, mean=-0.3156, std=2.747, absmax=13.87 +2025-10-31 17:40:19,332 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=10.84, mean=-0.3077, std=2.395, absmax=10.84 +2025-10-31 17:40:19,825 ERROR: Encountered non-finite generator loss at iter 9712; skipping update. +2025-10-31 17:40:19,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,828 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,829 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,830 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,831 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:19,832 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:19,833 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:19,834 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:19,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.75, mean=0.07644, std=2.706, absmax=11.75 +2025-10-31 17:40:19,836 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.417, max=10.54, mean=-0.02877, std=2.34, absmax=10.54 +2025-10-31 17:40:20,330 ERROR: Encountered non-finite generator loss at iter 9713; skipping update. +2025-10-31 17:40:20,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,332 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,333 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,335 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,336 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:20,337 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:20,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.3, mean=-0.1937, std=3.118, absmax=14.3 +2025-10-31 17:40:20,339 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=9.929, mean=-0.1916, std=2.589, absmax=10.9 +2025-10-31 17:40:20,833 ERROR: Encountered non-finite generator loss at iter 9714; skipping update. +2025-10-31 17:40:20,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,834 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,836 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,837 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:20,838 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:20,839 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:20,840 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:20,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.7, mean=-0.1391, std=2.899, absmax=12.7 +2025-10-31 17:40:20,842 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.489, max=9.94, mean=-0.1062, std=2.362, absmax=9.94 +2025-10-31 17:40:21,336 ERROR: Encountered non-finite generator loss at iter 9715; skipping update. +2025-10-31 17:40:21,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:21,344 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:21,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=11.66, mean=-0.2615, std=2.811, absmax=14.15 +2025-10-31 17:40:21,346 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.05, max=9.213, mean=-0.2718, std=2.465, absmax=11.05 +2025-10-31 17:40:21,839 ERROR: Encountered non-finite generator loss at iter 9716; skipping update. +2025-10-31 17:40:21,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,842 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:21,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:21,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:21,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:21,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.73, mean=-0.07181, std=3.38, absmax=14.08 +2025-10-31 17:40:21,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.875, max=8.886, mean=-0.09477, std=2.73, absmax=9.875 +2025-10-31 17:40:22,343 ERROR: Encountered non-finite generator loss at iter 9717; skipping update. +2025-10-31 17:40:22,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,346 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,346 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,347 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:22,349 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:22,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=10.36, mean=-0.2171, std=2.819, absmax=12.03 +2025-10-31 17:40:22,351 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.508, max=7.551, mean=-0.2334, std=2.279, absmax=9.508 +2025-10-31 17:40:22,844 ERROR: Encountered non-finite generator loss at iter 9718; skipping update. +2025-10-31 17:40:22,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:22,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:22,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:22,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:22,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.42, mean=-0.1402, std=3.123, absmax=12.95 +2025-10-31 17:40:22,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.412, mean=-0.1734, std=2.534, absmax=10.83 +2025-10-31 17:40:23,346 ERROR: Encountered non-finite generator loss at iter 9719; skipping update. +2025-10-31 17:40:23,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,349 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,349 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,350 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,351 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,352 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,353 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:23,354 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:23,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.31, mean=-0.2739, std=3.144, absmax=14.31 +2025-10-31 17:40:23,356 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=10.21, mean=-0.2777, std=2.512, absmax=11.57 +2025-10-31 17:40:23,851 ERROR: Encountered non-finite generator loss at iter 9720; skipping update. +2025-10-31 17:40:23,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,853 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,854 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,855 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:23,856 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:23,857 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:23,858 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:23,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.4, mean=-0.005825, std=3.163, absmax=16.4 +2025-10-31 17:40:23,860 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=12.9, mean=-0.02877, std=2.489, absmax=12.9 +2025-10-31 17:40:24,354 ERROR: Encountered non-finite generator loss at iter 9721; skipping update. +2025-10-31 17:40:24,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,356 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,356 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,357 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,358 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:24,359 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:24,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=14.5, mean=-0.007714, std=3.692, absmax=14.5 +2025-10-31 17:40:24,361 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=12.54, mean=0.03905, std=3.152, absmax=12.54 +2025-10-31 17:40:24,855 ERROR: Encountered non-finite generator loss at iter 9722; skipping update. +2025-10-31 17:40:24,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,857 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,857 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,858 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,859 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:24,860 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:24,861 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:24,862 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:24,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.8, mean=-0.203, std=3.149, absmax=13.8 +2025-10-31 17:40:24,864 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=10.22, mean=-0.1734, std=2.662, absmax=11.31 +2025-10-31 17:40:25,357 ERROR: Encountered non-finite generator loss at iter 9723; skipping update. +2025-10-31 17:40:25,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,360 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,361 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,362 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:25,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:25,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.44, mean=-0.1741, std=2.912, absmax=13.95 +2025-10-31 17:40:25,368 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.425, max=9.566, mean=-0.1748, std=2.4, absmax=9.566 +2025-10-31 17:40:25,861 ERROR: Encountered non-finite generator loss at iter 9724; skipping update. +2025-10-31 17:40:25,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,864 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,865 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,866 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,867 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:25,867 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:25,868 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:25,869 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:25,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.63, mean=-0.04513, std=2.832, absmax=12.63 +2025-10-31 17:40:25,871 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.557, max=10.56, mean=-0.0704, std=2.408, absmax=10.56 +2025-10-31 17:40:26,365 ERROR: Encountered non-finite generator loss at iter 9725; skipping update. +2025-10-31 17:40:26,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,369 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,370 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,371 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,372 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,373 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:26,374 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:26,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=17.01, mean=-0.08312, std=2.853, absmax=17.01 +2025-10-31 17:40:26,376 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.442, max=10.6, mean=-0.1189, std=2.344, absmax=10.6 +2025-10-31 17:40:26,872 ERROR: Encountered non-finite generator loss at iter 9726; skipping update. +2025-10-31 17:40:26,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,875 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,876 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,877 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,878 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:26,879 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:26,880 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:26,881 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:26,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.35, mean=-0.08723, std=3.044, absmax=12.29 +2025-10-31 17:40:26,882 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.729, mean=-0.1237, std=2.407, absmax=10.57 +2025-10-31 17:40:27,375 ERROR: Encountered non-finite generator loss at iter 9727; skipping update. +2025-10-31 17:40:27,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,377 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,381 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:27,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:27,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.37, mean=-0.4004, std=3.388, absmax=13.37 +2025-10-31 17:40:27,385 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=8.765, mean=-0.3497, std=2.964, absmax=10.85 +2025-10-31 17:40:27,879 ERROR: Encountered non-finite generator loss at iter 9728; skipping update. +2025-10-31 17:40:27,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,882 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,883 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:27,885 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:27,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:27,887 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:27,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.12, mean=-0.1953, std=3.07, absmax=13.34 +2025-10-31 17:40:27,890 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.89, max=9.547, mean=-0.1982, std=2.642, absmax=11.89 +2025-10-31 17:40:28,382 ERROR: Encountered non-finite generator loss at iter 9729; skipping update. +2025-10-31 17:40:28,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,388 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:28,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:28,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=11.31, mean=-0.2766, std=2.692, absmax=11.41 +2025-10-31 17:40:28,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.94, max=7.938, mean=-0.2645, std=2.226, absmax=8.94 +2025-10-31 17:40:28,886 ERROR: Encountered non-finite generator loss at iter 9730; skipping update. +2025-10-31 17:40:28,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,888 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,889 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,890 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:28,891 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:28,892 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:28,893 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:28,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=14.03, mean=-0.1572, std=3.32, absmax=14.72 +2025-10-31 17:40:28,895 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.71, max=10.9, mean=-0.1767, std=2.763, absmax=12.71 +2025-10-31 17:40:29,387 ERROR: Encountered non-finite generator loss at iter 9731; skipping update. +2025-10-31 17:40:29,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,389 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,390 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,391 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,392 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,393 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,394 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:29,394 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:29,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.13, mean=-0.07078, std=3.46, absmax=13.13 +2025-10-31 17:40:29,396 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=12.23, mean=-0.05081, std=2.924, absmax=12.23 +2025-10-31 17:40:29,891 ERROR: Encountered non-finite generator loss at iter 9732; skipping update. +2025-10-31 17:40:29,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,893 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,894 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,894 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,895 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:29,897 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:29,897 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:29,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:29,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=17.93, mean=-0.1641, std=3.525, absmax=17.93 +2025-10-31 17:40:29,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=11.28, mean=-0.1482, std=2.784, absmax=11.28 +2025-10-31 17:40:30,393 ERROR: Encountered non-finite generator loss at iter 9733; skipping update. +2025-10-31 17:40:30,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,396 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,398 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,400 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,401 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:30,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:30,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.47, max=13.37, mean=-0.09529, std=2.906, absmax=13.37 +2025-10-31 17:40:30,404 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.799, max=9.101, mean=-0.1046, std=2.362, absmax=9.101 +2025-10-31 17:40:30,898 ERROR: Encountered non-finite generator loss at iter 9734; skipping update. +2025-10-31 17:40:30,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,900 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,901 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,901 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:30,903 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:30,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:30,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:30,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.24, mean=-0.09959, std=3.112, absmax=13.24 +2025-10-31 17:40:30,906 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.148, max=10.7, mean=-0.09848, std=2.507, absmax=10.7 +2025-10-31 17:40:31,399 ERROR: Encountered non-finite generator loss at iter 9735; skipping update. +2025-10-31 17:40:31,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,407 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:31,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:31,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=16.95, mean=-0.09863, std=3.546, absmax=16.95 +2025-10-31 17:40:31,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=9.385, mean=-0.141, std=2.833, absmax=10.46 +2025-10-31 17:40:31,904 ERROR: Encountered non-finite generator loss at iter 9736; skipping update. +2025-10-31 17:40:31,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,906 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,908 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:31,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:31,911 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:31,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:31,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.79, max=16.07, mean=-0.1864, std=3.357, absmax=16.79 +2025-10-31 17:40:31,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.8, max=12.85, mean=-0.1537, std=2.899, absmax=13.8 +2025-10-31 17:40:32,408 ERROR: Encountered non-finite generator loss at iter 9737; skipping update. +2025-10-31 17:40:32,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,411 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,411 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,412 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,414 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,415 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,415 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:32,416 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:32,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.73, mean=-0.1198, std=2.81, absmax=11.73 +2025-10-31 17:40:32,418 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.091, max=9.084, mean=-0.1319, std=2.338, absmax=9.091 +2025-10-31 17:40:32,912 ERROR: Encountered non-finite generator loss at iter 9738; skipping update. +2025-10-31 17:40:32,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,915 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:32,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:32,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:32,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:32,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.72, mean=-0.163, std=3.453, absmax=13.78 +2025-10-31 17:40:32,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.9, max=10.17, mean=-0.1813, std=2.878, absmax=10.17 +2025-10-31 17:40:33,415 ERROR: Encountered non-finite generator loss at iter 9739; skipping update. +2025-10-31 17:40:33,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,417 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,418 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,419 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,420 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,421 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:33,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:33,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.71, mean=-0.07517, std=2.811, absmax=13.71 +2025-10-31 17:40:33,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=8.993, mean=-0.101, std=2.422, absmax=10.72 +2025-10-31 17:40:33,918 ERROR: Encountered non-finite generator loss at iter 9740; skipping update. +2025-10-31 17:40:33,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:33,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:33,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:33,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:33,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.67, mean=-0.2183, std=3.727, absmax=14.67 +2025-10-31 17:40:33,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.39, max=11.62, mean=-0.2277, std=3.366, absmax=12.39 +2025-10-31 17:40:34,423 ERROR: Encountered non-finite generator loss at iter 9741; skipping update. +2025-10-31 17:40:34,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,427 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,428 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,428 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,429 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,430 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:34,431 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:34,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.78, mean=0.04972, std=3.037, absmax=11.78 +2025-10-31 17:40:34,434 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.198, mean=0.006797, std=2.583, absmax=10.68 +2025-10-31 17:40:34,927 ERROR: Encountered non-finite generator loss at iter 9742; skipping update. +2025-10-31 17:40:34,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:34,933 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:34,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:34,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:34,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.66, mean=-0.0342, std=3.247, absmax=13.59 +2025-10-31 17:40:34,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=10.02, mean=-0.04536, std=2.685, absmax=10.24 +2025-10-31 17:40:35,431 ERROR: Encountered non-finite generator loss at iter 9743; skipping update. +2025-10-31 17:40:35,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,435 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,436 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,437 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:35,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:35,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=10.53, mean=-0.3712, std=3.025, absmax=13.83 +2025-10-31 17:40:35,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=8.444, mean=-0.329, std=2.595, absmax=11.94 +2025-10-31 17:40:35,935 ERROR: Encountered non-finite generator loss at iter 9744; skipping update. +2025-10-31 17:40:35,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,938 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,938 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:35,939 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:35,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:35,942 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:35,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=13.69, mean=-0.2136, std=3.286, absmax=14.72 +2025-10-31 17:40:35,944 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13, max=11.1, mean=-0.2229, std=2.99, absmax=13 +2025-10-31 17:40:36,438 ERROR: Encountered non-finite generator loss at iter 9745; skipping update. +2025-10-31 17:40:36,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,440 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,441 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,442 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,443 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,444 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:36,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:36,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=13.61, mean=0.05786, std=3.262, absmax=13.61 +2025-10-31 17:40:36,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.47, max=11.73, mean=0.03427, std=2.704, absmax=11.73 +2025-10-31 17:40:36,941 ERROR: Encountered non-finite generator loss at iter 9746; skipping update. +2025-10-31 17:40:36,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:36,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:36,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:36,947 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:36,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.1, mean=0.1885, std=3.722, absmax=13.68 +2025-10-31 17:40:36,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=11.78, mean=0.2123, std=3.143, absmax=11.78 +2025-10-31 17:40:37,443 ERROR: Encountered non-finite generator loss at iter 9747; skipping update. +2025-10-31 17:40:37,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,446 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:37,452 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:37,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=11.18, mean=-0.248, std=2.68, absmax=11.18 +2025-10-31 17:40:37,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.584, max=7.964, mean=-0.1999, std=2.445, absmax=9.584 +2025-10-31 17:40:37,948 ERROR: Encountered non-finite generator loss at iter 9748; skipping update. +2025-10-31 17:40:37,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:37,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:37,953 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:37,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:37,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=11.51, mean=-0.09505, std=3.2, absmax=14.11 +2025-10-31 17:40:37,961 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=9.87, mean=-0.1634, std=2.781, absmax=10.02 +2025-10-31 17:40:38,455 ERROR: Encountered non-finite generator loss at iter 9749; skipping update. +2025-10-31 17:40:38,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,456 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,459 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,460 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,461 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,462 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:38,463 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:38,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.9, mean=-0.03365, std=3.222, absmax=14.9 +2025-10-31 17:40:38,465 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.144, max=10.87, mean=-0.0494, std=2.618, absmax=10.87 +2025-10-31 17:40:38,959 ERROR: Encountered non-finite generator loss at iter 9750; skipping update. +2025-10-31 17:40:38,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,962 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,963 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,964 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,965 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:38,966 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:38,967 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:38,968 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:38,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=12.43, mean=-0.2649, std=2.44, absmax=12.43 +2025-10-31 17:40:38,970 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.499, max=8.976, mean=-0.2258, std=2.059, absmax=8.976 +2025-10-31 17:40:39,464 ERROR: Encountered non-finite generator loss at iter 9751; skipping update. +2025-10-31 17:40:39,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,467 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,467 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,468 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,469 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,470 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:39,471 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:39,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=12.37, mean=-0.387, std=3.082, absmax=14.09 +2025-10-31 17:40:39,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.929, max=7.681, mean=-0.3395, std=2.479, absmax=9.929 +2025-10-31 17:40:39,970 ERROR: Encountered non-finite generator loss at iter 9752; skipping update. +2025-10-31 17:40:39,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,972 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,973 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:39,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:39,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:39,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:39,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.08, mean=-0.1515, std=3.216, absmax=14.07 +2025-10-31 17:40:39,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.33, mean=-0.1634, std=2.673, absmax=11.53 +2025-10-31 17:40:40,473 ERROR: Encountered non-finite generator loss at iter 9753; skipping update. +2025-10-31 17:40:40,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,475 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,477 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,478 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,479 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,480 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:40,481 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:40,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.97, mean=-0.2359, std=2.984, absmax=11.99 +2025-10-31 17:40:40,483 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=8.681, mean=-0.2972, std=2.649, absmax=11.41 +2025-10-31 17:40:40,977 ERROR: Encountered non-finite generator loss at iter 9754; skipping update. +2025-10-31 17:40:40,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,980 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:40,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:40,984 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:40,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:40,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.52, mean=-0.2902, std=3.021, absmax=13.53 +2025-10-31 17:40:40,986 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.647, max=10.83, mean=-0.2705, std=2.66, absmax=10.83 +2025-10-31 17:40:41,480 ERROR: Encountered non-finite generator loss at iter 9755; skipping update. +2025-10-31 17:40:41,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,483 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,483 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,484 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,485 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,487 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,488 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:41,489 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:41,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.75, mean=-0.3288, std=3.007, absmax=12.18 +2025-10-31 17:40:41,491 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=8.645, mean=-0.2886, std=2.539, absmax=11.25 +2025-10-31 17:40:41,984 ERROR: Encountered non-finite generator loss at iter 9756; skipping update. +2025-10-31 17:40:41,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,987 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,988 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:41,989 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:41,990 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:41,991 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:41,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.4, mean=0.2069, std=3.509, absmax=13.4 +2025-10-31 17:40:41,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=11.98, mean=0.1758, std=3.007, absmax=11.98 +2025-10-31 17:40:42,487 ERROR: Encountered non-finite generator loss at iter 9757; skipping update. +2025-10-31 17:40:42,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,494 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:42,495 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:42,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=15.47, mean=0.009194, std=3.402, absmax=15.47 +2025-10-31 17:40:42,497 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=10.52, mean=-0.01335, std=2.818, absmax=10.72 +2025-10-31 17:40:42,991 ERROR: Encountered non-finite generator loss at iter 9758; skipping update. +2025-10-31 17:40:42,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,994 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,995 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,996 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:42,997 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:42,998 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:42,999 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:43,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.13, mean=-0.2855, std=3.318, absmax=13.09 +2025-10-31 17:40:43,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=8.339, mean=-0.2605, std=2.692, absmax=10.69 +2025-10-31 17:40:43,494 ERROR: Encountered non-finite generator loss at iter 9759; skipping update. +2025-10-31 17:40:43,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:43,496 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:43,496 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:43,498 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:43,499 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:43,500 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:43,500 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:43,502 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:43,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.07, mean=-0.03481, std=2.989, absmax=13.07 +2025-10-31 17:40:43,504 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.848, max=10.71, mean=-0.1002, std=2.524, absmax=10.71 +2025-10-31 17:40:43,998 ERROR: Encountered non-finite generator loss at iter 9760; skipping update. +2025-10-31 17:40:43,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,002 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:44,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:44,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.14, mean=-0.1743, std=3.322, absmax=14.14 +2025-10-31 17:40:44,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=11.39, mean=-0.1718, std=2.649, absmax=11.39 +2025-10-31 17:40:44,502 ERROR: Encountered non-finite generator loss at iter 9761; skipping update. +2025-10-31 17:40:44,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,505 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,507 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:44,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:44,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:44,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:44,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=12.19, mean=-0.1756, std=3.108, absmax=12.19 +2025-10-31 17:40:44,513 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.028, max=11.5, mean=-0.1526, std=2.676, absmax=11.5 +2025-10-31 17:40:45,007 ERROR: Encountered non-finite generator loss at iter 9762; skipping update. +2025-10-31 17:40:45,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,011 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,014 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:45,015 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:45,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.13, mean=-0.2027, std=2.964, absmax=12.96 +2025-10-31 17:40:45,017 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.782, max=8.608, mean=-0.2013, std=2.353, absmax=9.782 +2025-10-31 17:40:45,512 ERROR: Encountered non-finite generator loss at iter 9763; skipping update. +2025-10-31 17:40:45,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,515 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,515 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,515 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,515 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:45,516 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:45,517 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:45,518 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:45,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=13.39, mean=-0.1473, std=3.261, absmax=14.56 +2025-10-31 17:40:45,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.82, mean=-0.1461, std=2.769, absmax=11.29 +2025-10-31 17:40:46,014 ERROR: Encountered non-finite generator loss at iter 9764; skipping update. +2025-10-31 17:40:46,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,017 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,018 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,019 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,021 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,021 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,022 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:46,023 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:46,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.45, mean=-0.07329, std=3.099, absmax=12.45 +2025-10-31 17:40:46,025 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.24, mean=-0.07465, std=2.608, absmax=11.24 +2025-10-31 17:40:46,519 ERROR: Encountered non-finite generator loss at iter 9765; skipping update. +2025-10-31 17:40:46,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,521 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,522 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,522 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,523 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:46,524 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:46,525 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:46,526 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:46,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=15.3, mean=-0.151, std=3.116, absmax=15.3 +2025-10-31 17:40:46,528 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=12.26, mean=-0.1514, std=2.594, absmax=12.26 +2025-10-31 17:40:47,022 ERROR: Encountered non-finite generator loss at iter 9766; skipping update. +2025-10-31 17:40:47,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,025 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,025 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,026 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,030 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:47,030 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:47,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.26, mean=-0.2259, std=2.063, absmax=12.26 +2025-10-31 17:40:47,032 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.785, max=8.168, mean=-0.1896, std=1.87, absmax=8.785 +2025-10-31 17:40:47,528 ERROR: Encountered non-finite generator loss at iter 9767; skipping update. +2025-10-31 17:40:47,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:47,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:47,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:47,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:47,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.51, mean=-0.2142, std=2.613, absmax=13.51 +2025-10-31 17:40:47,538 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=9.724, mean=-0.1906, std=2.168, absmax=10.27 +2025-10-31 17:40:48,032 ERROR: Encountered non-finite generator loss at iter 9768; skipping update. +2025-10-31 17:40:48,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,035 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:48,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:48,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.57, mean=0.06397, std=3.141, absmax=11.62 +2025-10-31 17:40:48,042 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.338, max=10.92, mean=0.08547, std=2.654, absmax=10.92 +2025-10-31 17:40:48,537 ERROR: Encountered non-finite generator loss at iter 9769; skipping update. +2025-10-31 17:40:48,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:48,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:48,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:48,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:48,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=14.05, mean=0.07536, std=3.334, absmax=14.05 +2025-10-31 17:40:48,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.434, max=11.18, mean=0.02582, std=2.765, absmax=11.18 +2025-10-31 17:40:49,041 ERROR: Encountered non-finite generator loss at iter 9770; skipping update. +2025-10-31 17:40:49,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:49,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:49,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.35, mean=-0.1963, std=3.252, absmax=14.08 +2025-10-31 17:40:49,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=9.237, mean=-0.2143, std=2.75, absmax=10.81 +2025-10-31 17:40:49,544 ERROR: Encountered non-finite generator loss at iter 9771; skipping update. +2025-10-31 17:40:49,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,549 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:49,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:49,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:49,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:49,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.16, max=15.15, mean=-0.1179, std=3.118, absmax=18.16 +2025-10-31 17:40:49,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.93, mean=-0.06929, std=2.622, absmax=11.29 +2025-10-31 17:40:50,048 ERROR: Encountered non-finite generator loss at iter 9772; skipping update. +2025-10-31 17:40:50,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,051 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,055 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:50,056 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:50,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.14, mean=0.2434, std=3.209, absmax=14.14 +2025-10-31 17:40:50,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.494, max=10.88, mean=0.2247, std=2.818, absmax=10.88 +2025-10-31 17:40:50,552 ERROR: Encountered non-finite generator loss at iter 9773; skipping update. +2025-10-31 17:40:50,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,555 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,558 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:50,559 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:50,560 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:50,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:50,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.74, mean=-0.03607, std=3.099, absmax=15.74 +2025-10-31 17:40:50,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.734, max=12.29, mean=-0.04966, std=2.574, absmax=12.29 +2025-10-31 17:40:51,055 ERROR: Encountered non-finite generator loss at iter 9774; skipping update. +2025-10-31 17:40:51,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,057 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,058 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,058 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:51,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:51,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.56, mean=0.3302, std=3.634, absmax=16.56 +2025-10-31 17:40:51,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.642, max=12.18, mean=0.2346, std=2.932, absmax=12.18 +2025-10-31 17:40:51,555 ERROR: Encountered non-finite generator loss at iter 9775; skipping update. +2025-10-31 17:40:51,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,558 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,559 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,560 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,561 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:51,562 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:51,564 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:51,565 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:51,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.69, max=13.86, mean=-0.2945, std=3.428, absmax=17.69 +2025-10-31 17:40:51,567 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.074, mean=-0.2895, std=2.709, absmax=11.12 +2025-10-31 17:40:52,058 ERROR: Encountered non-finite generator loss at iter 9776; skipping update. +2025-10-31 17:40:52,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:52,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:52,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.32, mean=-0.01052, std=2.997, absmax=13.32 +2025-10-31 17:40:52,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.626, max=10.33, mean=-0.01245, std=2.466, absmax=10.33 +2025-10-31 17:40:52,561 ERROR: Encountered non-finite generator loss at iter 9777; skipping update. +2025-10-31 17:40:52,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,563 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,564 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,564 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,565 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:52,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:52,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:52,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:52,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.17, mean=-0.05952, std=3.188, absmax=12.35 +2025-10-31 17:40:52,571 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.779, max=9.782, mean=-0.05909, std=2.625, absmax=9.782 +2025-10-31 17:40:53,062 ERROR: Encountered non-finite generator loss at iter 9778; skipping update. +2025-10-31 17:40:53,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,064 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,064 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:53,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:53,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.13, mean=-0.2415, std=3.312, absmax=13.95 +2025-10-31 17:40:53,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=10.8, mean=-0.1975, std=2.763, absmax=11.06 +2025-10-31 17:40:53,564 ERROR: Encountered non-finite generator loss at iter 9779; skipping update. +2025-10-31 17:40:53,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,565 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:53,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:53,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:53,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:53,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.06, mean=-0.2215, std=2.536, absmax=12.53 +2025-10-31 17:40:53,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.334, mean=-0.2359, std=2.16, absmax=10.56 +2025-10-31 17:40:54,067 ERROR: Encountered non-finite generator loss at iter 9780; skipping update. +2025-10-31 17:40:54,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:54,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:54,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=12.49, mean=-0.1719, std=2.585, absmax=12.49 +2025-10-31 17:40:54,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.733, max=9.855, mean=-0.1597, std=2.174, absmax=9.855 +2025-10-31 17:40:54,570 ERROR: Encountered non-finite generator loss at iter 9781; skipping update. +2025-10-31 17:40:54,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,574 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,575 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,576 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:54,577 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:54,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:54,581 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:54,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.06, mean=-0.1406, std=3.359, absmax=12.71 +2025-10-31 17:40:54,583 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.394, max=9.369, mean=-0.1334, std=2.571, absmax=9.369 +2025-10-31 17:40:55,076 ERROR: Encountered non-finite generator loss at iter 9782; skipping update. +2025-10-31 17:40:55,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:55,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:55,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.18, mean=-0.2997, std=3.12, absmax=14.18 +2025-10-31 17:40:55,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=9.927, mean=-0.2342, std=2.742, absmax=10.43 +2025-10-31 17:40:55,578 ERROR: Encountered non-finite generator loss at iter 9783; skipping update. +2025-10-31 17:40:55,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,583 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,584 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:55,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:55,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:55,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:55,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=17.67, mean=-0.09881, std=3.283, absmax=17.67 +2025-10-31 17:40:55,591 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.66, max=9.958, mean=-0.0783, std=2.674, absmax=10.66 +2025-10-31 17:40:56,085 ERROR: Encountered non-finite generator loss at iter 9784; skipping update. +2025-10-31 17:40:56,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,088 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,088 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:56,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:56,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.57, mean=-0.168, std=2.605, absmax=11.57 +2025-10-31 17:40:56,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.501, max=11.86, mean=-0.1594, std=2.32, absmax=11.86 +2025-10-31 17:40:56,588 ERROR: Encountered non-finite generator loss at iter 9785; skipping update. +2025-10-31 17:40:56,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,591 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,592 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:56,592 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:56,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:56,596 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:56,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.04, mean=-0.1917, std=3.114, absmax=13.04 +2025-10-31 17:40:56,599 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.8, mean=-0.1951, std=2.63, absmax=10.12 +2025-10-31 17:40:57,093 ERROR: Encountered non-finite generator loss at iter 9786; skipping update. +2025-10-31 17:40:57,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,095 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,096 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,098 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:57,100 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:57,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.13, mean=-0.1611, std=3.492, absmax=14.13 +2025-10-31 17:40:57,102 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=11.45, mean=-0.1602, std=2.883, absmax=11.45 +2025-10-31 17:40:57,596 ERROR: Encountered non-finite generator loss at iter 9787; skipping update. +2025-10-31 17:40:57,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,599 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,600 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,601 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,602 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:57,603 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:57,604 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:57,605 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:57,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.14, mean=0.03066, std=3.245, absmax=12.67 +2025-10-31 17:40:57,607 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=10.75, mean=-0.05955, std=2.737, absmax=10.75 +2025-10-31 17:40:58,100 ERROR: Encountered non-finite generator loss at iter 9788; skipping update. +2025-10-31 17:40:58,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,102 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:58,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:58,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=11.66, mean=-0.2118, std=2.506, absmax=11.66 +2025-10-31 17:40:58,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.597, max=10.04, mean=-0.1924, std=2.269, absmax=10.04 +2025-10-31 17:40:58,602 ERROR: Encountered non-finite generator loss at iter 9789; skipping update. +2025-10-31 17:40:58,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,605 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:58,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:58,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:58,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:58,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.82, mean=0.02199, std=3.274, absmax=14.82 +2025-10-31 17:40:58,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.161, max=12.48, mean=-0.008314, std=2.663, absmax=12.48 +2025-10-31 17:40:59,105 ERROR: Encountered non-finite generator loss at iter 9790; skipping update. +2025-10-31 17:40:59,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,111 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:59,112 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:59,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.08, mean=-0.04646, std=2.708, absmax=12.08 +2025-10-31 17:40:59,114 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.345, max=9.718, mean=-0.04515, std=2.206, absmax=9.718 +2025-10-31 17:40:59,607 ERROR: Encountered non-finite generator loss at iter 9791; skipping update. +2025-10-31 17:40:59,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,610 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:40:59,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:40:59,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:40:59,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:40:59,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=15.16, mean=0.1261, std=3.674, absmax=15.16 +2025-10-31 17:40:59,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.166, max=14.81, mean=0.1547, std=3.329, absmax=14.81 +2025-10-31 17:41:00,112 ERROR: Encountered non-finite generator loss at iter 9792; skipping update. +2025-10-31 17:41:00,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,118 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,120 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:00,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:00,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.5, mean=-0.1931, std=2.607, absmax=12.09 +2025-10-31 17:41:00,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.019, max=7.508, mean=-0.2107, std=2.212, absmax=9.019 +2025-10-31 17:41:00,615 ERROR: Encountered non-finite generator loss at iter 9793; skipping update. +2025-10-31 17:41:00,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,618 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,619 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:00,620 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:00,621 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:00,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:00,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=11.24, mean=-0.2472, std=2.82, absmax=13.97 +2025-10-31 17:41:00,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=8.562, mean=-0.2062, std=2.458, absmax=10.86 +2025-10-31 17:41:01,117 ERROR: Encountered non-finite generator loss at iter 9794; skipping update. +2025-10-31 17:41:01,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:01,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:01,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=15.17, mean=0.08989, std=3.279, absmax=15.17 +2025-10-31 17:41:01,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=13.77, mean=0.07477, std=2.727, absmax=13.77 +2025-10-31 17:41:01,617 ERROR: Encountered non-finite generator loss at iter 9795; skipping update. +2025-10-31 17:41:01,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,621 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,622 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:01,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:01,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:01,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:01,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.71, mean=0.01339, std=3.242, absmax=14.71 +2025-10-31 17:41:01,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=13.33, mean=0.01856, std=2.75, absmax=13.33 +2025-10-31 17:41:02,120 ERROR: Encountered non-finite generator loss at iter 9796; skipping update. +2025-10-31 17:41:02,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,124 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:02,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:02,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.82, mean=-0.1441, std=2.699, absmax=14.06 +2025-10-31 17:41:02,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.921, mean=-0.1259, std=2.252, absmax=10.13 +2025-10-31 17:41:02,622 ERROR: Encountered non-finite generator loss at iter 9797; skipping update. +2025-10-31 17:41:02,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,625 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,625 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,626 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:02,628 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:02,629 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:02,630 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:02,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=10.95, mean=-0.2019, std=2.624, absmax=11.62 +2025-10-31 17:41:02,632 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.68, max=9.158, mean=-0.2014, std=2.301, absmax=10.68 +2025-10-31 17:41:03,124 ERROR: Encountered non-finite generator loss at iter 9798; skipping update. +2025-10-31 17:41:03,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,127 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,128 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,129 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,130 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,131 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:03,132 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:03,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.92, mean=-0.08772, std=3.056, absmax=13.13 +2025-10-31 17:41:03,134 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=10.57, mean=-0.09239, std=2.646, absmax=10.57 +2025-10-31 17:41:03,626 ERROR: Encountered non-finite generator loss at iter 9799; skipping update. +2025-10-31 17:41:03,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,628 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:03,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:03,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:03,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:03,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.26, mean=-0.1794, std=2.874, absmax=13.26 +2025-10-31 17:41:03,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.996, max=9.112, mean=-0.2096, std=2.441, absmax=9.996 +2025-10-31 17:41:04,129 ERROR: Encountered non-finite generator loss at iter 9800; skipping update. +2025-10-31 17:41:04,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,132 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:04,137 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:04,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=10.91, mean=-0.1788, std=2.61, absmax=11.39 +2025-10-31 17:41:04,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.63, max=8.514, mean=-0.1912, std=2.238, absmax=8.63 +2025-10-31 17:41:04,141 INFO: [29..][epoch: 0, step: 9,800, lr:(1.500e-04,)] [eta: 1 day, 15:38:37, time (data): 0.503 (0.000)] +2025-10-31 17:41:04,633 ERROR: Encountered non-finite generator loss at iter 9801; skipping update. +2025-10-31 17:41:04,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,637 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,639 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:04,640 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:04,641 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:04,642 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:04,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.9, mean=-0.08774, std=2.818, absmax=13.9 +2025-10-31 17:41:04,644 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.32, max=11.76, mean=-0.1107, std=2.389, absmax=11.76 +2025-10-31 17:41:05,137 ERROR: Encountered non-finite generator loss at iter 9802; skipping update. +2025-10-31 17:41:05,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,138 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,138 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,139 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,140 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,141 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,141 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:05,143 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:05,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=15.38, mean=0.04558, std=3.192, absmax=15.38 +2025-10-31 17:41:05,145 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.977, max=13.76, mean=0.03649, std=2.762, absmax=13.76 +2025-10-31 17:41:05,636 ERROR: Encountered non-finite generator loss at iter 9803; skipping update. +2025-10-31 17:41:05,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,639 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,639 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,640 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,641 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:05,643 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:05,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:05,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:05,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.52, mean=-0.2403, std=2.953, absmax=12.52 +2025-10-31 17:41:05,645 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=8.414, mean=-0.2497, std=2.423, absmax=10.35 +2025-10-31 17:41:06,137 ERROR: Encountered non-finite generator loss at iter 9804; skipping update. +2025-10-31 17:41:06,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,139 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,140 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,140 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,141 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,142 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,143 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:06,144 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:06,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.61, mean=-0.203, std=2.723, absmax=12.77 +2025-10-31 17:41:06,146 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.443, max=9.669, mean=-0.1935, std=2.205, absmax=9.669 +2025-10-31 17:41:06,639 ERROR: Encountered non-finite generator loss at iter 9805; skipping update. +2025-10-31 17:41:06,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,642 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,642 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:06,645 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:06,646 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:06,647 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:06,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.44, mean=-0.1163, std=2.501, absmax=11.44 +2025-10-31 17:41:06,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.999, max=8.806, mean=-0.1619, std=2.212, absmax=8.999 +2025-10-31 17:41:07,144 ERROR: Encountered non-finite generator loss at iter 9806; skipping update. +2025-10-31 17:41:07,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,146 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,148 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:07,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:07,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.16, mean=0.1264, std=3.572, absmax=13.61 +2025-10-31 17:41:07,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=12.72, mean=0.105, std=3.125, absmax=12.72 +2025-10-31 17:41:07,651 ERROR: Encountered non-finite generator loss at iter 9807; skipping update. +2025-10-31 17:41:07,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,655 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,656 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:07,657 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:07,658 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:07,659 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:07,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.89, mean=-0.3295, std=3.178, absmax=14.89 +2025-10-31 17:41:07,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.45, max=9.157, mean=-0.2817, std=2.666, absmax=10.45 +2025-10-31 17:41:08,155 ERROR: Encountered non-finite generator loss at iter 9808; skipping update. +2025-10-31 17:41:08,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,158 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,159 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,160 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,161 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,162 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,163 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:08,164 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:08,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.83, mean=-0.1749, std=3.039, absmax=13.83 +2025-10-31 17:41:08,166 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.333, max=10.56, mean=-0.1999, std=2.583, absmax=10.56 +2025-10-31 17:41:08,657 ERROR: Encountered non-finite generator loss at iter 9809; skipping update. +2025-10-31 17:41:08,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,660 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,661 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:08,664 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:08,667 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:08,668 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:08,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.51, mean=-0.06984, std=3.136, absmax=13.51 +2025-10-31 17:41:08,670 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=10.68, mean=-0.08929, std=2.596, absmax=11.1 +2025-10-31 17:41:09,160 ERROR: Encountered non-finite generator loss at iter 9810; skipping update. +2025-10-31 17:41:09,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:09,169 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:09,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.64, mean=-0.3804, std=3.464, absmax=12.97 +2025-10-31 17:41:09,171 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.96, max=9.732, mean=-0.3978, std=2.97, absmax=11.96 +2025-10-31 17:41:09,664 ERROR: Encountered non-finite generator loss at iter 9811; skipping update. +2025-10-31 17:41:09,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,667 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,669 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,670 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,671 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:09,672 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:09,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:09,674 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:09,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.52, mean=-0.1549, std=2.843, absmax=13.52 +2025-10-31 17:41:09,676 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.829, max=10.11, mean=-0.1113, std=2.315, absmax=10.11 +2025-10-31 17:41:10,169 ERROR: Encountered non-finite generator loss at iter 9812; skipping update. +2025-10-31 17:41:10,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,171 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,172 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,173 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,175 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,176 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,177 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:10,178 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:10,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.94, mean=-0.03549, std=3.53, absmax=12.95 +2025-10-31 17:41:10,180 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=11.49, mean=-0.05318, std=2.789, absmax=11.49 +2025-10-31 17:41:10,672 ERROR: Encountered non-finite generator loss at iter 9813; skipping update. +2025-10-31 17:41:10,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,674 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,675 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,676 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,677 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:10,678 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:10,679 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:10,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:10,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.23, mean=-0.26, std=2.507, absmax=12.23 +2025-10-31 17:41:10,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.067, max=8.16, mean=-0.2694, std=2.066, absmax=9.067 +2025-10-31 17:41:11,174 ERROR: Encountered non-finite generator loss at iter 9814; skipping update. +2025-10-31 17:41:11,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,178 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,180 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,181 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:11,183 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:11,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.19, mean=-0.1388, std=3.165, absmax=13.31 +2025-10-31 17:41:11,185 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.619, mean=-0.1854, std=2.574, absmax=10.55 +2025-10-31 17:41:11,678 ERROR: Encountered non-finite generator loss at iter 9815; skipping update. +2025-10-31 17:41:11,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,681 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,682 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:11,683 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:11,684 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:11,685 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:11,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.4, mean=-0.1469, std=2.715, absmax=13.45 +2025-10-31 17:41:11,687 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.65, max=7.947, mean=-0.1414, std=2.158, absmax=8.65 +2025-10-31 17:41:12,178 ERROR: Encountered non-finite generator loss at iter 9816; skipping update. +2025-10-31 17:41:12,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,181 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,181 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,182 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,183 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,184 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,185 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:12,186 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:12,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=14.08, mean=-0.07578, std=3.345, absmax=14.2 +2025-10-31 17:41:12,188 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.911, max=12.01, mean=-0.06592, std=2.853, absmax=12.01 +2025-10-31 17:41:12,680 ERROR: Encountered non-finite generator loss at iter 9817; skipping update. +2025-10-31 17:41:12,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:12,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:12,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:12,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:12,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.32, mean=-0.2126, std=2.909, absmax=13.32 +2025-10-31 17:41:12,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.386, max=10.27, mean=-0.2127, std=2.442, absmax=10.27 +2025-10-31 17:41:13,182 ERROR: Encountered non-finite generator loss at iter 9818; skipping update. +2025-10-31 17:41:13,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,184 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:13,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:13,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.79, mean=-0.1373, std=3.313, absmax=13.1 +2025-10-31 17:41:13,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.44, max=10.74, mean=-0.1403, std=2.848, absmax=10.74 +2025-10-31 17:41:13,684 ERROR: Encountered non-finite generator loss at iter 9819; skipping update. +2025-10-31 17:41:13,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,687 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,688 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,688 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,689 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:13,690 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:13,691 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:13,692 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:13,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.95, mean=-0.2157, std=2.954, absmax=11.96 +2025-10-31 17:41:13,694 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.866, max=9.172, mean=-0.2522, std=2.457, absmax=9.866 +2025-10-31 17:41:14,187 ERROR: Encountered non-finite generator loss at iter 9820; skipping update. +2025-10-31 17:41:14,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,190 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,191 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,193 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,193 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,194 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,196 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:14,197 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:14,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.01, mean=0.05877, std=3.135, absmax=12.54 +2025-10-31 17:41:14,199 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=8.58, mean=0.05694, std=2.611, absmax=10.12 +2025-10-31 17:41:14,691 ERROR: Encountered non-finite generator loss at iter 9821; skipping update. +2025-10-31 17:41:14,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,694 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,695 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,696 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,697 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:14,698 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:14,699 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:14,700 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:14,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.03, mean=-0.2971, std=3.034, absmax=13.39 +2025-10-31 17:41:14,701 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.47, max=10.32, mean=-0.2691, std=2.667, absmax=11.47 +2025-10-31 17:41:15,193 ERROR: Encountered non-finite generator loss at iter 9822; skipping update. +2025-10-31 17:41:15,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,199 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,200 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:15,201 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:15,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.64, mean=-0.2663, std=3.395, absmax=15.64 +2025-10-31 17:41:15,203 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=9.801, mean=-0.2005, std=2.703, absmax=10.03 +2025-10-31 17:41:15,696 ERROR: Encountered non-finite generator loss at iter 9823; skipping update. +2025-10-31 17:41:15,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,698 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,699 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,701 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,701 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:15,702 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:15,703 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:15,704 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:15,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.53, mean=-0.11, std=3.473, absmax=13.53 +2025-10-31 17:41:15,706 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=11.46, mean=-0.1344, std=2.865, absmax=11.46 +2025-10-31 17:41:16,198 ERROR: Encountered non-finite generator loss at iter 9824; skipping update. +2025-10-31 17:41:16,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,200 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,201 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,202 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,203 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,204 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,205 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:16,206 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:16,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.26, mean=-0.00146, std=3.527, absmax=13.26 +2025-10-31 17:41:16,208 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=12.15, mean=-0.03392, std=3.048, absmax=12.15 +2025-10-31 17:41:16,699 ERROR: Encountered non-finite generator loss at iter 9825; skipping update. +2025-10-31 17:41:16,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:16,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:16,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:16,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:16,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.21, mean=-0.2003, std=2.52, absmax=13.21 +2025-10-31 17:41:16,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.564, max=9.82, mean=-0.2396, std=2.096, absmax=9.82 +2025-10-31 17:41:17,201 ERROR: Encountered non-finite generator loss at iter 9826; skipping update. +2025-10-31 17:41:17,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,203 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:17,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:17,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.28, mean=-0.16, std=2.722, absmax=12.28 +2025-10-31 17:41:17,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=8.337, mean=-0.1598, std=2.329, absmax=10.89 +2025-10-31 17:41:17,701 ERROR: Encountered non-finite generator loss at iter 9827; skipping update. +2025-10-31 17:41:17,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,704 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:17,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:17,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:17,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:17,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.46, mean=-0.1947, std=3.089, absmax=14.46 +2025-10-31 17:41:17,710 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.019, max=11.09, mean=-0.1654, std=2.537, absmax=11.09 +2025-10-31 17:41:18,201 ERROR: Encountered non-finite generator loss at iter 9828; skipping update. +2025-10-31 17:41:18,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,203 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,205 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,206 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:18,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:18,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.04, mean=0.3348, std=3.611, absmax=14.04 +2025-10-31 17:41:18,211 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=11.84, mean=0.2427, std=3.035, absmax=11.84 +2025-10-31 17:41:18,703 ERROR: Encountered non-finite generator loss at iter 9829; skipping update. +2025-10-31 17:41:18,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:18,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:18,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:18,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:18,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.37, mean=-0.07084, std=2.688, absmax=13.37 +2025-10-31 17:41:18,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=11.35, mean=-0.1169, std=2.342, absmax=11.35 +2025-10-31 17:41:19,203 ERROR: Encountered non-finite generator loss at iter 9830; skipping update. +2025-10-31 17:41:19,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,205 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,205 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,206 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,207 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,209 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:19,210 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:19,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=10.69, mean=-0.09316, std=2.562, absmax=11.22 +2025-10-31 17:41:19,212 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.622, max=9.706, mean=-0.09392, std=2.209, absmax=9.706 +2025-10-31 17:41:19,704 ERROR: Encountered non-finite generator loss at iter 9831; skipping update. +2025-10-31 17:41:19,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,706 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,706 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,707 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,708 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:19,709 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:19,710 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:19,711 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:19,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=10.41, mean=-0.3135, std=2.984, absmax=15.76 +2025-10-31 17:41:19,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=8.985, mean=-0.2492, std=2.625, absmax=11.99 +2025-10-31 17:41:20,205 ERROR: Encountered non-finite generator loss at iter 9832; skipping update. +2025-10-31 17:41:20,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,208 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,208 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,208 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:20,209 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:20,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.51, mean=-0.2004, std=3.094, absmax=13.27 +2025-10-31 17:41:20,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=8.528, mean=-0.1775, std=2.474, absmax=10.19 +2025-10-31 17:41:20,701 ERROR: Encountered non-finite generator loss at iter 9833; skipping update. +2025-10-31 17:41:20,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,703 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,704 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,704 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,705 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:20,706 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:20,707 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:20,708 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:20,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.63, max=13.93, mean=0.08093, std=3.425, absmax=15.63 +2025-10-31 17:41:20,711 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=11.9, mean=0.09762, std=2.864, absmax=11.93 +2025-10-31 17:41:21,203 ERROR: Encountered non-finite generator loss at iter 9834; skipping update. +2025-10-31 17:41:21,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,206 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:21,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:21,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=15.47, mean=0.0963, std=3.428, absmax=15.47 +2025-10-31 17:41:21,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=13.06, mean=0.006154, std=2.951, absmax=13.06 +2025-10-31 17:41:21,705 ERROR: Encountered non-finite generator loss at iter 9835; skipping update. +2025-10-31 17:41:21,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,708 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,708 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:21,711 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:21,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:21,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:21,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.39, mean=-0.3026, std=3.1, absmax=13.84 +2025-10-31 17:41:21,715 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=8.676, mean=-0.3263, std=2.474, absmax=10.97 +2025-10-31 17:41:22,207 ERROR: Encountered non-finite generator loss at iter 9836; skipping update. +2025-10-31 17:41:22,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,209 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,210 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,211 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,212 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,213 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,214 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:22,215 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:22,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.92, mean=-0.02013, std=3.167, absmax=12.05 +2025-10-31 17:41:22,217 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.59, max=9.103, mean=-0.04488, std=2.43, absmax=10.59 +2025-10-31 17:41:22,709 ERROR: Encountered non-finite generator loss at iter 9837; skipping update. +2025-10-31 17:41:22,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:22,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:22,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:22,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:22,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.88, mean=-0.0287, std=2.898, absmax=13.88 +2025-10-31 17:41:22,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.28, max=9.086, mean=-0.07142, std=2.22, absmax=9.086 +2025-10-31 17:41:23,212 ERROR: Encountered non-finite generator loss at iter 9838; skipping update. +2025-10-31 17:41:23,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,215 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,215 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,216 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,217 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,218 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,219 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:23,220 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:23,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.16, mean=0.1401, std=3.566, absmax=14.16 +2025-10-31 17:41:23,222 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.461, max=11.48, mean=0.1042, std=2.843, absmax=11.48 +2025-10-31 17:41:23,715 ERROR: Encountered non-finite generator loss at iter 9839; skipping update. +2025-10-31 17:41:23,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,718 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,719 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,720 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,721 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:23,722 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:23,723 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:23,723 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:23,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=9.911, mean=-0.254, std=2.843, absmax=12.29 +2025-10-31 17:41:23,726 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.74, max=8.469, mean=-0.2284, std=2.455, absmax=9.74 +2025-10-31 17:41:24,220 ERROR: Encountered non-finite generator loss at iter 9840; skipping update. +2025-10-31 17:41:24,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,222 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:24,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:24,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.48, mean=-0.209, std=3.133, absmax=12.74 +2025-10-31 17:41:24,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.784, mean=-0.1423, std=2.695, absmax=11.12 +2025-10-31 17:41:24,723 ERROR: Encountered non-finite generator loss at iter 9841; skipping update. +2025-10-31 17:41:24,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,729 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:24,730 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:24,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:24,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:24,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=15.38, mean=-0.267, std=2.885, absmax=15.38 +2025-10-31 17:41:24,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.109, max=10.98, mean=-0.2786, std=2.472, absmax=10.98 +2025-10-31 17:41:25,227 ERROR: Encountered non-finite generator loss at iter 9842; skipping update. +2025-10-31 17:41:25,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,230 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,231 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,233 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,234 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:25,235 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:25,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=12.61, mean=-0.2687, std=2.706, absmax=14.54 +2025-10-31 17:41:25,237 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.355, max=8.918, mean=-0.1942, std=2.276, absmax=9.355 +2025-10-31 17:41:25,731 ERROR: Encountered non-finite generator loss at iter 9843; skipping update. +2025-10-31 17:41:25,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,734 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,735 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,736 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,737 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:25,738 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:25,739 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:25,740 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:25,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=14.55, mean=-0.03582, std=3.011, absmax=14.55 +2025-10-31 17:41:25,742 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=11.25, mean=-0.08917, std=2.529, absmax=11.25 +2025-10-31 17:41:26,235 ERROR: Encountered non-finite generator loss at iter 9844; skipping update. +2025-10-31 17:41:26,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,238 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,239 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,240 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,241 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,242 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:26,243 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:26,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.08, mean=-0.04352, std=3.4, absmax=14.08 +2025-10-31 17:41:26,246 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=9.612, mean=-0.0675, std=2.77, absmax=10.79 +2025-10-31 17:41:26,740 ERROR: Encountered non-finite generator loss at iter 9845; skipping update. +2025-10-31 17:41:26,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,742 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,743 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,745 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:26,746 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:26,747 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:26,748 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:26,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.77, mean=-0.06658, std=2.815, absmax=14.77 +2025-10-31 17:41:26,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=12.01, mean=-0.03063, std=2.627, absmax=12.07 +2025-10-31 17:41:27,243 ERROR: Encountered non-finite generator loss at iter 9846; skipping update. +2025-10-31 17:41:27,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,247 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:27,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:27,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14.55, mean=0.08516, std=3.636, absmax=14.55 +2025-10-31 17:41:27,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.18, max=11.15, mean=0.05201, std=2.96, absmax=12.18 +2025-10-31 17:41:27,745 ERROR: Encountered non-finite generator loss at iter 9847; skipping update. +2025-10-31 17:41:27,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,748 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,749 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,750 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:27,751 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:27,752 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:27,753 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:27,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.34, mean=-0.2327, std=2.875, absmax=13.34 +2025-10-31 17:41:27,755 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.04, max=10.25, mean=-0.2732, std=2.573, absmax=11.04 +2025-10-31 17:41:28,249 ERROR: Encountered non-finite generator loss at iter 9848; skipping update. +2025-10-31 17:41:28,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,252 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,252 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,254 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,255 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:28,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:28,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.48, mean=-0.05456, std=3.014, absmax=12.93 +2025-10-31 17:41:28,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.24, max=10.3, mean=-0.08532, std=2.427, absmax=10.3 +2025-10-31 17:41:28,752 ERROR: Encountered non-finite generator loss at iter 9849; skipping update. +2025-10-31 17:41:28,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,755 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,756 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:28,757 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:28,758 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:28,759 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:28,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=15.75, mean=-0.2706, std=3.123, absmax=15.75 +2025-10-31 17:41:28,761 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.432, max=9.324, mean=-0.2449, std=2.467, absmax=9.432 +2025-10-31 17:41:29,255 ERROR: Encountered non-finite generator loss at iter 9850; skipping update. +2025-10-31 17:41:29,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,257 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,258 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,259 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,260 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,261 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,261 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:29,262 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:29,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=14.42, mean=-0.03286, std=3.038, absmax=14.42 +2025-10-31 17:41:29,264 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=11.12, mean=-0.01903, std=2.556, absmax=11.12 +2025-10-31 17:41:29,758 ERROR: Encountered non-finite generator loss at iter 9851; skipping update. +2025-10-31 17:41:29,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,760 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,762 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,763 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,764 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:29,765 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:29,766 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:29,767 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:29,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.58, mean=-0.1001, std=3.473, absmax=14.58 +2025-10-31 17:41:29,769 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=12.37, mean=-0.06464, std=3.003, absmax=12.37 +2025-10-31 17:41:30,263 ERROR: Encountered non-finite generator loss at iter 9852; skipping update. +2025-10-31 17:41:30,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,266 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,270 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:30,271 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:30,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.72, mean=-0.1776, std=2.969, absmax=13.72 +2025-10-31 17:41:30,273 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=9.506, mean=-0.2062, std=2.437, absmax=11.26 +2025-10-31 17:41:30,767 ERROR: Encountered non-finite generator loss at iter 9853; skipping update. +2025-10-31 17:41:30,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,769 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,770 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,771 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,772 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:30,772 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:30,773 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:30,774 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:30,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.54, mean=-0.08847, std=2.839, absmax=11.54 +2025-10-31 17:41:30,776 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=11.5, mean=-0.09899, std=2.66, absmax=11.5 +2025-10-31 17:41:31,270 ERROR: Encountered non-finite generator loss at iter 9854; skipping update. +2025-10-31 17:41:31,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,276 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:31,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:31,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.73, mean=-0.1415, std=2.976, absmax=13.73 +2025-10-31 17:41:31,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.553, max=12.04, mean=-0.08316, std=2.335, absmax=12.04 +2025-10-31 17:41:31,775 ERROR: Encountered non-finite generator loss at iter 9855; skipping update. +2025-10-31 17:41:31,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,777 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,777 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,778 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,779 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:31,780 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:31,781 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:31,782 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:31,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.75, mean=-0.2081, std=2.49, absmax=12.32 +2025-10-31 17:41:31,784 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=9.244, mean=-0.2009, std=2.228, absmax=10.87 +2025-10-31 17:41:32,277 ERROR: Encountered non-finite generator loss at iter 9856; skipping update. +2025-10-31 17:41:32,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,279 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,279 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,280 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,281 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,282 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,283 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:32,284 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:32,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=10.81, mean=-0.3474, std=2.781, absmax=12.85 +2025-10-31 17:41:32,286 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=8.695, mean=-0.2863, std=2.423, absmax=10.83 +2025-10-31 17:41:32,780 ERROR: Encountered non-finite generator loss at iter 9857; skipping update. +2025-10-31 17:41:32,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,782 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,783 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:32,786 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:32,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:32,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:32,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.97, mean=-0.2023, std=3.369, absmax=12.97 +2025-10-31 17:41:32,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.116, mean=-0.2436, std=2.812, absmax=10.88 +2025-10-31 17:41:33,283 ERROR: Encountered non-finite generator loss at iter 9858; skipping update. +2025-10-31 17:41:33,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,286 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,287 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,288 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,289 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,290 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:33,291 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:33,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.32, mean=-0.1792, std=3.16, absmax=12.37 +2025-10-31 17:41:33,293 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=10.49, mean=-0.1691, std=2.65, absmax=11.2 +2025-10-31 17:41:33,787 ERROR: Encountered non-finite generator loss at iter 9859; skipping update. +2025-10-31 17:41:33,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,790 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,791 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:33,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:33,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:33,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:33,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.76, mean=-0.1656, std=3.173, absmax=12.65 +2025-10-31 17:41:33,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.01, max=7.682, mean=-0.1705, std=2.638, absmax=10.01 +2025-10-31 17:41:34,291 ERROR: Encountered non-finite generator loss at iter 9860; skipping update. +2025-10-31 17:41:34,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,293 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,297 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:34,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:34,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.84, mean=0.06625, std=3.593, absmax=14.84 +2025-10-31 17:41:34,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.51, max=13.57, mean=0.0298, std=3.096, absmax=13.57 +2025-10-31 17:41:34,794 ERROR: Encountered non-finite generator loss at iter 9861; skipping update. +2025-10-31 17:41:34,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,798 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:34,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:34,801 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:34,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:34,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.05, mean=-0.2352, std=2.815, absmax=13.35 +2025-10-31 17:41:34,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=7.847, mean=-0.1923, std=2.232, absmax=10.5 +2025-10-31 17:41:35,301 ERROR: Encountered non-finite generator loss at iter 9862; skipping update. +2025-10-31 17:41:35,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,304 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,304 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,305 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:35,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:35,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.59, mean=0.0234, std=3.291, absmax=14.59 +2025-10-31 17:41:35,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=12.15, mean=0.01611, std=2.779, absmax=12.15 +2025-10-31 17:41:35,803 ERROR: Encountered non-finite generator loss at iter 9863; skipping update. +2025-10-31 17:41:35,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,805 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,806 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,807 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:35,808 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:35,809 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:35,810 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:35,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.87, mean=-0.134, std=2.936, absmax=13.87 +2025-10-31 17:41:35,812 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=8.698, mean=-0.1454, std=2.513, absmax=9.7 +2025-10-31 17:41:36,306 ERROR: Encountered non-finite generator loss at iter 9864; skipping update. +2025-10-31 17:41:36,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,308 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,309 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,311 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,311 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,312 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:36,313 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:36,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=13.99, mean=-0.2729, std=3.589, absmax=15.58 +2025-10-31 17:41:36,315 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.41, max=10.97, mean=-0.2587, std=3.017, absmax=13.41 +2025-10-31 17:41:36,810 ERROR: Encountered non-finite generator loss at iter 9865; skipping update. +2025-10-31 17:41:36,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,812 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,813 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,813 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,813 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:36,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:36,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:36,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:36,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.47, mean=-0.05419, std=3.83, absmax=13.55 +2025-10-31 17:41:36,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=11.66, mean=-0.07984, std=3.139, absmax=11.66 +2025-10-31 17:41:37,312 ERROR: Encountered non-finite generator loss at iter 9866; skipping update. +2025-10-31 17:41:37,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,315 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,316 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,317 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,318 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,319 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:37,320 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:37,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.01, mean=-0.1051, std=2.939, absmax=14.27 +2025-10-31 17:41:37,322 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=9.763, mean=-0.1213, std=2.346, absmax=10.37 +2025-10-31 17:41:37,816 ERROR: Encountered non-finite generator loss at iter 9867; skipping update. +2025-10-31 17:41:37,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,818 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,819 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,820 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,821 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:37,822 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:37,823 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:37,824 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:37,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.85, mean=-0.1939, std=2.892, absmax=13.85 +2025-10-31 17:41:37,826 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.916, max=9.008, mean=-0.1963, std=2.393, absmax=9.916 +2025-10-31 17:41:38,319 ERROR: Encountered non-finite generator loss at iter 9868; skipping update. +2025-10-31 17:41:38,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,322 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:38,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:38,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=14.94, mean=0.09761, std=3.829, absmax=14.94 +2025-10-31 17:41:38,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.58, max=10.74, mean=0.009638, std=3.2, absmax=11.58 +2025-10-31 17:41:38,823 ERROR: Encountered non-finite generator loss at iter 9869; skipping update. +2025-10-31 17:41:38,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,828 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,829 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:38,830 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:38,831 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:38,832 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:38,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.13, mean=-0.2682, std=2.753, absmax=12.13 +2025-10-31 17:41:38,834 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=8.463, mean=-0.2558, std=2.385, absmax=10.04 +2025-10-31 17:41:39,326 ERROR: Encountered non-finite generator loss at iter 9870; skipping update. +2025-10-31 17:41:39,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,328 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,328 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,330 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,332 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:39,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:39,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.76, mean=-0.06919, std=3.105, absmax=13.76 +2025-10-31 17:41:39,336 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=12.06, mean=-0.07824, std=2.629, absmax=12.06 +2025-10-31 17:41:39,829 ERROR: Encountered non-finite generator loss at iter 9871; skipping update. +2025-10-31 17:41:39,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,831 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,831 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:39,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:39,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:39,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:39,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.02, mean=-0.2354, std=2.801, absmax=13.43 +2025-10-31 17:41:39,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.29, max=8.925, mean=-0.2203, std=2.348, absmax=9.29 +2025-10-31 17:41:40,328 ERROR: Encountered non-finite generator loss at iter 9872; skipping update. +2025-10-31 17:41:40,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,331 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,331 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,332 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,333 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,334 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,335 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:40,336 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:40,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=15.21, mean=-0.2262, std=3.278, absmax=15.21 +2025-10-31 17:41:40,338 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.85, max=10.61, mean=-0.2595, std=2.809, absmax=11.85 +2025-10-31 17:41:40,831 ERROR: Encountered non-finite generator loss at iter 9873; skipping update. +2025-10-31 17:41:40,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,833 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:40,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:40,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:40,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:40,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.35, mean=-0.09368, std=2.75, absmax=13.49 +2025-10-31 17:41:40,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.93, max=9.03, mean=-0.1465, std=2.131, absmax=9.03 +2025-10-31 17:41:41,332 ERROR: Encountered non-finite generator loss at iter 9874; skipping update. +2025-10-31 17:41:41,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:41,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:41,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.02, mean=-0.1781, std=2.956, absmax=14.02 +2025-10-31 17:41:41,342 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.65, max=11.82, mean=-0.1834, std=2.621, absmax=11.82 +2025-10-31 17:41:41,834 ERROR: Encountered non-finite generator loss at iter 9875; skipping update. +2025-10-31 17:41:41,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,836 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,836 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:41,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:41,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:41,843 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:41,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=13.67, mean=-0.1188, std=3.089, absmax=14.16 +2025-10-31 17:41:41,846 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=12.79, mean=-0.1534, std=2.762, absmax=12.79 +2025-10-31 17:41:42,337 ERROR: Encountered non-finite generator loss at iter 9876; skipping update. +2025-10-31 17:41:42,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,339 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,340 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,342 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,343 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,344 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:42,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:42,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.21, mean=-0.1468, std=2.652, absmax=13.21 +2025-10-31 17:41:42,347 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=11.52, mean=-0.1146, std=2.339, absmax=11.52 +2025-10-31 17:41:42,839 ERROR: Encountered non-finite generator loss at iter 9877; skipping update. +2025-10-31 17:41:42,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:42,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:42,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:42,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:42,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=13.63, mean=0.008045, std=3.173, absmax=13.63 +2025-10-31 17:41:42,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.929, max=10.25, mean=-0.06814, std=2.56, absmax=10.25 +2025-10-31 17:41:43,340 ERROR: Encountered non-finite generator loss at iter 9878; skipping update. +2025-10-31 17:41:43,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:43,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:43,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.33, mean=-0.2165, std=3.505, absmax=14.33 +2025-10-31 17:41:43,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.62, max=10.53, mean=-0.2453, std=2.957, absmax=10.62 +2025-10-31 17:41:43,840 ERROR: Encountered non-finite generator loss at iter 9879; skipping update. +2025-10-31 17:41:43,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:43,846 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:43,847 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:43,848 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:43,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=14.28, mean=-0.3399, std=2.819, absmax=14.28 +2025-10-31 17:41:43,850 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.648, mean=-0.3396, std=2.458, absmax=10.12 +2025-10-31 17:41:44,341 ERROR: Encountered non-finite generator loss at iter 9880; skipping update. +2025-10-31 17:41:44,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,344 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,345 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,346 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:44,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:44,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=14.13, mean=-0.08013, std=3.511, absmax=15.38 +2025-10-31 17:41:44,350 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11, max=11.51, mean=-0.09802, std=2.884, absmax=11.51 +2025-10-31 17:41:44,841 ERROR: Encountered non-finite generator loss at iter 9881; skipping update. +2025-10-31 17:41:44,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,844 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,844 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:44,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:44,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:44,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:44,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.39, mean=-0.1668, std=3.264, absmax=14.39 +2025-10-31 17:41:44,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.91, max=12.17, mean=-0.136, std=2.765, absmax=12.17 +2025-10-31 17:41:45,341 ERROR: Encountered non-finite generator loss at iter 9882; skipping update. +2025-10-31 17:41:45,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,343 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,347 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:45,348 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:45,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.66, mean=-0.2005, std=2.781, absmax=12.66 +2025-10-31 17:41:45,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.974, max=8.653, mean=-0.2077, std=2.26, absmax=9.974 +2025-10-31 17:41:45,840 ERROR: Encountered non-finite generator loss at iter 9883; skipping update. +2025-10-31 17:41:45,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,843 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,843 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,845 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,846 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:45,847 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:45,848 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:45,849 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:45,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.02, mean=-0.2711, std=2.642, absmax=13.68 +2025-10-31 17:41:45,851 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.102, max=9.126, mean=-0.2253, std=2.169, absmax=9.126 +2025-10-31 17:41:46,342 ERROR: Encountered non-finite generator loss at iter 9884; skipping update. +2025-10-31 17:41:46,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,344 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:46,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:46,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.46, max=14.86, mean=0.1518, std=3.623, absmax=15.46 +2025-10-31 17:41:46,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.612, max=11.86, mean=0.1192, std=3.04, absmax=11.86 +2025-10-31 17:41:46,843 ERROR: Encountered non-finite generator loss at iter 9885; skipping update. +2025-10-31 17:41:46,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:46,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:46,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:46,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:46,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=15.22, mean=-0.1804, std=3.457, absmax=15.22 +2025-10-31 17:41:46,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=12.78, mean=-0.1168, std=2.788, absmax=12.78 +2025-10-31 17:41:47,343 ERROR: Encountered non-finite generator loss at iter 9886; skipping update. +2025-10-31 17:41:47,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,345 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:47,350 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:47,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.5, mean=-0.06937, std=2.622, absmax=12.5 +2025-10-31 17:41:47,352 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.755, max=8.446, mean=-0.1139, std=2.198, absmax=8.755 +2025-10-31 17:41:47,843 ERROR: Encountered non-finite generator loss at iter 9887; skipping update. +2025-10-31 17:41:47,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,845 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:47,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:47,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:47,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:47,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.84, mean=-0.1106, std=2.814, absmax=13.84 +2025-10-31 17:41:47,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.39, max=9.152, mean=-0.1509, std=2.376, absmax=11.39 +2025-10-31 17:41:48,344 ERROR: Encountered non-finite generator loss at iter 9888; skipping update. +2025-10-31 17:41:48,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:48,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:48,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.3, mean=-0.1557, std=3.063, absmax=12.34 +2025-10-31 17:41:48,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.96, max=8.35, mean=-0.1532, std=2.46, absmax=9.96 +2025-10-31 17:41:48,843 ERROR: Encountered non-finite generator loss at iter 9889; skipping update. +2025-10-31 17:41:48,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:48,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:48,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:48,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:48,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.69, mean=-0.03254, std=3.539, absmax=14.33 +2025-10-31 17:41:48,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.867, mean=-0.07113, std=2.84, absmax=10.42 +2025-10-31 17:41:49,344 ERROR: Encountered non-finite generator loss at iter 9890; skipping update. +2025-10-31 17:41:49,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,347 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,348 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,349 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,350 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,351 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:49,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:49,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.38, mean=-0.1854, std=3.176, absmax=13.38 +2025-10-31 17:41:49,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.601, max=9.016, mean=-0.208, std=2.648, absmax=9.601 +2025-10-31 17:41:49,844 ERROR: Encountered non-finite generator loss at iter 9891; skipping update. +2025-10-31 17:41:49,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,847 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,848 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,849 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:49,850 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:49,851 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:49,852 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:49,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.47, max=14.26, mean=-0.04004, std=2.825, absmax=16.47 +2025-10-31 17:41:49,854 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.548, max=9.916, mean=-0.02154, std=2.407, absmax=9.916 +2025-10-31 17:41:50,344 ERROR: Encountered non-finite generator loss at iter 9892; skipping update. +2025-10-31 17:41:50,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,346 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,347 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,348 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,349 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,350 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:50,351 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:50,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.87, mean=0.03112, std=3.155, absmax=13.87 +2025-10-31 17:41:50,353 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=10.19, mean=0.01513, std=2.553, absmax=10.42 +2025-10-31 17:41:50,843 ERROR: Encountered non-finite generator loss at iter 9893; skipping update. +2025-10-31 17:41:50,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,846 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,846 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,847 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,848 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:50,849 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:50,850 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:50,851 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:50,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.77, max=13.13, mean=-0.05517, std=2.885, absmax=13.13 +2025-10-31 17:41:50,853 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.471, max=11.38, mean=-0.07927, std=2.404, absmax=11.38 +2025-10-31 17:41:51,344 ERROR: Encountered non-finite generator loss at iter 9894; skipping update. +2025-10-31 17:41:51,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,346 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:51,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:51,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.35, mean=-0.1532, std=3.032, absmax=13.35 +2025-10-31 17:41:51,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.328, max=10.02, mean=-0.1529, std=2.329, absmax=10.02 +2025-10-31 17:41:51,846 ERROR: Encountered non-finite generator loss at iter 9895; skipping update. +2025-10-31 17:41:51,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,849 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,850 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,851 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:51,852 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:51,853 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:51,854 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:51,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.22, mean=-0.3119, std=3.046, absmax=13.22 +2025-10-31 17:41:51,856 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=9.928, mean=-0.29, std=2.621, absmax=10.85 +2025-10-31 17:41:52,348 ERROR: Encountered non-finite generator loss at iter 9896; skipping update. +2025-10-31 17:41:52,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,351 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,351 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,352 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,353 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,354 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,355 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:52,356 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:52,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.45, max=13.69, mean=-0.2704, std=3.284, absmax=15.45 +2025-10-31 17:41:52,358 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.12, max=9.406, mean=-0.2322, std=2.845, absmax=13.12 +2025-10-31 17:41:52,850 ERROR: Encountered non-finite generator loss at iter 9897; skipping update. +2025-10-31 17:41:52,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,852 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,852 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,853 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,854 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:52,855 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:52,856 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:52,857 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:52,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.83, mean=-0.2336, std=3.294, absmax=13.54 +2025-10-31 17:41:52,859 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=9.94, mean=-0.2118, std=2.735, absmax=10.83 +2025-10-31 17:41:53,351 ERROR: Encountered non-finite generator loss at iter 9898; skipping update. +2025-10-31 17:41:53,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,353 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,354 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,355 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,356 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,357 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,357 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:53,357 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:53,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.39, mean=-0.1814, std=2.503, absmax=12.39 +2025-10-31 17:41:53,359 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.185, max=9.203, mean=-0.1878, std=2.019, absmax=9.203 +2025-10-31 17:41:53,852 ERROR: Encountered non-finite generator loss at iter 9899; skipping update. +2025-10-31 17:41:53,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,853 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,855 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,855 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,856 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:53,857 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:53,858 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:53,859 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:53,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.75, mean=-0.1643, std=3.088, absmax=13.38 +2025-10-31 17:41:53,862 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=8.859, mean=-0.2069, std=2.714, absmax=11.12 +2025-10-31 17:41:54,354 ERROR: Encountered non-finite generator loss at iter 9900; skipping update. +2025-10-31 17:41:54,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,357 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,357 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,357 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,358 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,359 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,360 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:54,361 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:54,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=14.75, mean=-0.1505, std=3.02, absmax=14.75 +2025-10-31 17:41:54,363 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=11.82, mean=-0.1363, std=2.53, absmax=11.82 +2025-10-31 17:41:54,365 INFO: [29..][epoch: 0, step: 9,900, lr:(1.500e-04,)] [eta: 1 day, 15:33:54, time (data): 0.502 (0.000)] +2025-10-31 17:41:54,857 ERROR: Encountered non-finite generator loss at iter 9901; skipping update. +2025-10-31 17:41:54,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,859 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,860 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,861 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,862 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:54,863 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:54,864 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:54,865 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:54,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.48, mean=0.1061, std=3.595, absmax=15.48 +2025-10-31 17:41:54,867 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=12.26, mean=0.07718, std=2.977, absmax=12.26 +2025-10-31 17:41:55,360 ERROR: Encountered non-finite generator loss at iter 9902; skipping update. +2025-10-31 17:41:55,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,362 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,362 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,363 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,363 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,364 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,365 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:55,366 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:55,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.03, mean=-0.1441, std=3.229, absmax=13.6 +2025-10-31 17:41:55,369 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.08, max=10.21, mean=-0.1488, std=2.769, absmax=12.08 +2025-10-31 17:41:55,860 ERROR: Encountered non-finite generator loss at iter 9903; skipping update. +2025-10-31 17:41:55,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,863 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,864 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,865 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,866 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:55,867 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:55,868 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:55,869 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:55,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.15, mean=-0.0009166, std=3.117, absmax=13.7 +2025-10-31 17:41:55,872 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.806, max=9.272, mean=-0.007995, std=2.586, absmax=9.272 +2025-10-31 17:41:56,363 ERROR: Encountered non-finite generator loss at iter 9904; skipping update. +2025-10-31 17:41:56,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,366 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,367 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,368 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,369 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,370 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,370 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:56,370 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:56,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=13.91, mean=-0.2579, std=2.953, absmax=14.9 +2025-10-31 17:41:56,372 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=8.963, mean=-0.2429, std=2.371, absmax=10.02 +2025-10-31 17:41:56,865 ERROR: Encountered non-finite generator loss at iter 9905; skipping update. +2025-10-31 17:41:56,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,869 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,870 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,871 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,872 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:56,873 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:56,874 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:56,875 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:56,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.06, mean=-0.1207, std=2.65, absmax=12.06 +2025-10-31 17:41:56,877 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=8.45, mean=-0.1414, std=2.173, absmax=10.74 +2025-10-31 17:41:57,371 ERROR: Encountered non-finite generator loss at iter 9906; skipping update. +2025-10-31 17:41:57,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,375 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,375 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:57,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:57,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=15.24, mean=-0.08039, std=2.878, absmax=15.24 +2025-10-31 17:41:57,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=11.26, mean=-0.04016, std=2.472, absmax=11.26 +2025-10-31 17:41:57,871 ERROR: Encountered non-finite generator loss at iter 9907; skipping update. +2025-10-31 17:41:57,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,874 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,875 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:57,881 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:57,882 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:57,884 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:57,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.16, mean=-0.2807, std=3.411, absmax=13.6 +2025-10-31 17:41:57,885 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=10.75, mean=-0.2984, std=3.123, absmax=11.7 +2025-10-31 17:41:58,378 ERROR: Encountered non-finite generator loss at iter 9908; skipping update. +2025-10-31 17:41:58,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,381 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,381 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,382 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,382 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,382 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:58,383 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:58,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=15.06, mean=-0.2926, std=3.359, absmax=15.06 +2025-10-31 17:41:58,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=11.7, mean=-0.2576, std=2.753, absmax=11.7 +2025-10-31 17:41:58,877 ERROR: Encountered non-finite generator loss at iter 9909; skipping update. +2025-10-31 17:41:58,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,879 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,881 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:58,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:58,884 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:58,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:58,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.65, mean=-0.1704, std=3.064, absmax=13.65 +2025-10-31 17:41:58,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.39, max=12.31, mean=-0.1376, std=2.559, absmax=12.31 +2025-10-31 17:41:59,379 ERROR: Encountered non-finite generator loss at iter 9910; skipping update. +2025-10-31 17:41:59,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,382 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,382 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,382 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,383 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,384 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,385 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:59,386 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:59,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12, mean=-0.09275, std=2.983, absmax=13.15 +2025-10-31 17:41:59,388 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=8.535, mean=-0.1417, std=2.368, absmax=10.31 +2025-10-31 17:41:59,881 ERROR: Encountered non-finite generator loss at iter 9911; skipping update. +2025-10-31 17:41:59,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,884 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,885 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,886 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,887 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:41:59,888 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:41:59,888 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:41:59,889 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:41:59,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=13.35, mean=-0.2815, std=3.674, absmax=14.76 +2025-10-31 17:41:59,891 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=10.55, mean=-0.2564, std=3.271, absmax=12.53 +2025-10-31 17:42:00,385 ERROR: Encountered non-finite generator loss at iter 9912; skipping update. +2025-10-31 17:42:00,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,387 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,388 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,389 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:00,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:00,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.64, mean=-0.2596, std=2.662, absmax=12.05 +2025-10-31 17:42:00,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.986, max=9.461, mean=-0.2565, std=2.255, absmax=9.461 +2025-10-31 17:42:00,888 ERROR: Encountered non-finite generator loss at iter 9913; skipping update. +2025-10-31 17:42:00,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,890 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,892 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,893 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:00,894 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:00,895 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:00,896 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:00,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.41, mean=-0.01583, std=2.782, absmax=12.38 +2025-10-31 17:42:00,898 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.685, max=10.43, mean=-0.0414, std=2.445, absmax=10.43 +2025-10-31 17:42:01,392 ERROR: Encountered non-finite generator loss at iter 9914; skipping update. +2025-10-31 17:42:01,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,395 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,396 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,397 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:01,400 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:01,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.05, mean=-0.03239, std=3.466, absmax=14.05 +2025-10-31 17:42:01,402 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.96, mean=-0.03937, std=2.86, absmax=11.96 +2025-10-31 17:42:01,896 ERROR: Encountered non-finite generator loss at iter 9915; skipping update. +2025-10-31 17:42:01,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,900 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:01,901 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:01,902 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:01,903 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:01,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.74, mean=-0.1098, std=3.073, absmax=12.83 +2025-10-31 17:42:01,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.746, max=9.092, mean=-0.07074, std=2.488, absmax=9.746 +2025-10-31 17:42:02,400 ERROR: Encountered non-finite generator loss at iter 9916; skipping update. +2025-10-31 17:42:02,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,402 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,402 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,403 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,403 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,403 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,404 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:02,405 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:02,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=15.03, mean=-0.07384, std=3.03, absmax=15.03 +2025-10-31 17:42:02,406 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.329, max=10.22, mean=-0.09868, std=2.424, absmax=10.22 +2025-10-31 17:42:02,899 ERROR: Encountered non-finite generator loss at iter 9917; skipping update. +2025-10-31 17:42:02,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:02,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:02,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:02,908 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:02,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=14.38, mean=-0.1257, std=3.246, absmax=14.38 +2025-10-31 17:42:02,910 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.94, max=12.21, mean=-0.1164, std=2.712, absmax=12.21 +2025-10-31 17:42:03,403 ERROR: Encountered non-finite generator loss at iter 9918; skipping update. +2025-10-31 17:42:03,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,406 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,422 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:03,423 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:03,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12, mean=-0.1022, std=3.331, absmax=13.31 +2025-10-31 17:42:03,425 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.49, mean=-0.0899, std=2.765, absmax=11.49 +2025-10-31 17:42:03,919 ERROR: Encountered non-finite generator loss at iter 9919; skipping update. +2025-10-31 17:42:03,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,921 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,922 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,923 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,924 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:03,925 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:03,926 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:03,927 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:03,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=15.22, mean=-0.316, std=3.428, absmax=15.22 +2025-10-31 17:42:03,929 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.86, mean=-0.3135, std=2.879, absmax=12.1 +2025-10-31 17:42:04,422 ERROR: Encountered non-finite generator loss at iter 9920; skipping update. +2025-10-31 17:42:04,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,424 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,426 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,427 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,428 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,429 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:04,430 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:04,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.84, mean=-0.125, std=2.877, absmax=12.84 +2025-10-31 17:42:04,432 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.47, max=11.24, mean=-0.1156, std=2.494, absmax=11.24 +2025-10-31 17:42:04,926 ERROR: Encountered non-finite generator loss at iter 9921; skipping update. +2025-10-31 17:42:04,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,929 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,931 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,932 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:04,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:04,934 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:04,935 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:04,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.29, mean=-0.124, std=3.589, absmax=14.29 +2025-10-31 17:42:04,938 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=12.31, mean=-0.1314, std=2.984, absmax=12.31 +2025-10-31 17:42:05,432 ERROR: Encountered non-finite generator loss at iter 9922; skipping update. +2025-10-31 17:42:05,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,434 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,435 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,436 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,438 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:05,439 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:05,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.73, mean=-0.225, std=3.183, absmax=13.73 +2025-10-31 17:42:05,441 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.775, mean=-0.2494, std=2.55, absmax=10.18 +2025-10-31 17:42:05,935 ERROR: Encountered non-finite generator loss at iter 9923; skipping update. +2025-10-31 17:42:05,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,938 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:05,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:05,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:05,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:05,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=15.8, mean=-0.3201, std=2.842, absmax=15.8 +2025-10-31 17:42:05,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.984, max=10, mean=-0.2584, std=2.415, absmax=10 +2025-10-31 17:42:06,440 ERROR: Encountered non-finite generator loss at iter 9924; skipping update. +2025-10-31 17:42:06,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,443 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,444 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,445 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,445 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,446 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,449 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:06,450 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:06,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.63, mean=-0.08572, std=3.382, absmax=13.63 +2025-10-31 17:42:06,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.74, max=11.24, mean=-0.09513, std=2.731, absmax=11.24 +2025-10-31 17:42:06,947 ERROR: Encountered non-finite generator loss at iter 9925; skipping update. +2025-10-31 17:42:06,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,950 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,950 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,951 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,952 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:06,953 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:06,954 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:06,955 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:06,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=15.04, mean=-0.1476, std=2.883, absmax=15.04 +2025-10-31 17:42:06,957 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=13.47, mean=-0.1547, std=2.525, absmax=13.47 +2025-10-31 17:42:07,451 ERROR: Encountered non-finite generator loss at iter 9926; skipping update. +2025-10-31 17:42:07,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,455 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,456 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,457 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,458 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,459 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:07,460 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:07,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=17.47, mean=-0.3594, std=3.125, absmax=17.47 +2025-10-31 17:42:07,462 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=12.09, mean=-0.3688, std=2.656, absmax=12.09 +2025-10-31 17:42:07,956 ERROR: Encountered non-finite generator loss at iter 9927; skipping update. +2025-10-31 17:42:07,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,958 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,959 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:07,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:07,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:07,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:07,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.82, mean=0.07218, std=3.189, absmax=13.82 +2025-10-31 17:42:07,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=11.03, mean=0.05901, std=2.67, absmax=11.03 +2025-10-31 17:42:08,459 ERROR: Encountered non-finite generator loss at iter 9928; skipping update. +2025-10-31 17:42:08,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,465 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,466 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,467 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:08,468 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:08,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.4, mean=-0.1523, std=2.811, absmax=12.4 +2025-10-31 17:42:08,470 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=9.534, mean=-0.1562, std=2.508, absmax=10.09 +2025-10-31 17:42:08,980 ERROR: Encountered non-finite generator loss at iter 9929; skipping update. +2025-10-31 17:42:08,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,983 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,985 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,986 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,987 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:08,988 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:08,988 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:08,989 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:08,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.5, mean=-0.1935, std=2.721, absmax=13.5 +2025-10-31 17:42:08,991 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=9.223, mean=-0.1767, std=2.405, absmax=9.964 +2025-10-31 17:42:09,485 ERROR: Encountered non-finite generator loss at iter 9930; skipping update. +2025-10-31 17:42:09,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,488 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,490 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:09,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:09,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.79, mean=0.08989, std=3.564, absmax=13.79 +2025-10-31 17:42:09,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.981, max=11.54, mean=0.1105, std=2.878, absmax=11.54 +2025-10-31 17:42:09,990 ERROR: Encountered non-finite generator loss at iter 9931; skipping update. +2025-10-31 17:42:09,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,993 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:09,993 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:09,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:09,994 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:09,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=18.22, mean=-0.06421, std=3.22, absmax=18.22 +2025-10-31 17:42:09,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.865, max=12.05, mean=-0.07729, std=2.578, absmax=12.05 +2025-10-31 17:42:10,491 ERROR: Encountered non-finite generator loss at iter 9932; skipping update. +2025-10-31 17:42:10,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:10,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:10,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:10,494 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:10,495 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:10,496 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:10,497 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:10,498 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:10,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=11.02, mean=-0.05192, std=2.534, absmax=11.02 +2025-10-31 17:42:10,500 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-7.986, max=9.772, mean=-0.05656, std=2.196, absmax=9.772 +2025-10-31 17:42:10,995 ERROR: Encountered non-finite generator loss at iter 9933; skipping update. +2025-10-31 17:42:10,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:10,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:10,997 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:10,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:10,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:11,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:11,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:11,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:11,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.38, mean=-0.1758, std=2.866, absmax=12.4 +2025-10-31 17:42:11,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=7.825, mean=-0.2081, std=2.329, absmax=10.28 +2025-10-31 17:42:11,498 ERROR: Encountered non-finite generator loss at iter 9934; skipping update. +2025-10-31 17:42:11,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:11,501 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:11,502 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:11,503 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:11,503 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:11,505 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:11,505 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:11,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:11,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.14, mean=-0.1756, std=2.403, absmax=11.38 +2025-10-31 17:42:11,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.288, max=9.172, mean=-0.1417, std=2.127, absmax=9.288 +2025-10-31 17:42:12,001 ERROR: Encountered non-finite generator loss at iter 9935; skipping update. +2025-10-31 17:42:12,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,003 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,004 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,005 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,006 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,007 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:12,008 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:12,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.59, mean=-0.1132, std=2.964, absmax=16.59 +2025-10-31 17:42:12,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.808, max=12.22, mean=-0.1188, std=2.432, absmax=12.22 +2025-10-31 17:42:12,506 ERROR: Encountered non-finite generator loss at iter 9936; skipping update. +2025-10-31 17:42:12,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,508 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,508 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,509 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,509 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:12,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:12,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:12,511 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:12,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.65, mean=0.09842, std=3.438, absmax=13.08 +2025-10-31 17:42:12,514 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.16, max=11.58, mean=0.0901, std=2.925, absmax=11.58 +2025-10-31 17:42:13,007 ERROR: Encountered non-finite generator loss at iter 9937; skipping update. +2025-10-31 17:42:13,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,010 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,012 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,013 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,014 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,015 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:13,016 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:13,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=11.73, mean=-0.2226, std=2.751, absmax=12.92 +2025-10-31 17:42:13,018 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.554, mean=-0.2571, std=2.256, absmax=10.55 +2025-10-31 17:42:13,522 ERROR: Encountered non-finite generator loss at iter 9938; skipping update. +2025-10-31 17:42:13,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,524 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,525 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,525 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:13,526 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:13,527 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:13,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:13,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.81, mean=-0.2363, std=2.667, absmax=13.53 +2025-10-31 17:42:13,531 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.967, max=8.328, mean=-0.2452, std=2.117, absmax=9.967 +2025-10-31 17:42:14,025 ERROR: Encountered non-finite generator loss at iter 9939; skipping update. +2025-10-31 17:42:14,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,029 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:14,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:14,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.87, mean=0.03422, std=3.5, absmax=13.87 +2025-10-31 17:42:14,034 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.729, max=11.5, mean=-0.01294, std=2.89, absmax=11.5 +2025-10-31 17:42:14,530 ERROR: Encountered non-finite generator loss at iter 9940; skipping update. +2025-10-31 17:42:14,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,533 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,535 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:14,536 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:14,537 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:14,538 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:14,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.06, mean=-0.03529, std=3.017, absmax=14.06 +2025-10-31 17:42:14,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=11.42, mean=-0.05169, std=2.531, absmax=11.42 +2025-10-31 17:42:15,035 ERROR: Encountered non-finite generator loss at iter 9941; skipping update. +2025-10-31 17:42:15,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,038 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:15,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:15,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.35, mean=-0.1982, std=2.814, absmax=14.35 +2025-10-31 17:42:15,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.389, max=9.52, mean=-0.1892, std=2.3, absmax=9.52 +2025-10-31 17:42:15,538 ERROR: Encountered non-finite generator loss at iter 9942; skipping update. +2025-10-31 17:42:15,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:15,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:15,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:15,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:15,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=12.21, mean=-0.1212, std=3.429, absmax=14.41 +2025-10-31 17:42:15,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.19, max=10.11, mean=-0.1218, std=2.782, absmax=10.19 +2025-10-31 17:42:16,042 ERROR: Encountered non-finite generator loss at iter 9943; skipping update. +2025-10-31 17:42:16,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,047 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:16,050 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:16,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.85, mean=-0.3006, std=3.133, absmax=13.85 +2025-10-31 17:42:16,052 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=8.778, mean=-0.2917, std=2.85, absmax=11.63 +2025-10-31 17:42:16,545 ERROR: Encountered non-finite generator loss at iter 9944; skipping update. +2025-10-31 17:42:16,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,547 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,548 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,549 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,550 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:16,551 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:16,552 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:16,553 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:16,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=11.9, mean=0.03126, std=3.164, absmax=11.9 +2025-10-31 17:42:16,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.76, max=9.62, mean=0.0006788, std=2.761, absmax=10.76 +2025-10-31 17:42:17,046 ERROR: Encountered non-finite generator loss at iter 9945; skipping update. +2025-10-31 17:42:17,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,049 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,050 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,051 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,052 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,053 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:17,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:17,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.79, mean=-0.08154, std=3.048, absmax=13.79 +2025-10-31 17:42:17,057 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.904, max=12.57, mean=-0.08657, std=2.551, absmax=12.57 +2025-10-31 17:42:17,549 ERROR: Encountered non-finite generator loss at iter 9946; skipping update. +2025-10-31 17:42:17,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,552 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,552 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:17,555 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:17,556 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:17,557 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:17,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.2, mean=-0.1208, std=2.98, absmax=15.2 +2025-10-31 17:42:17,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.96, max=11.19, mean=-0.1128, std=2.554, absmax=11.19 +2025-10-31 17:42:18,050 ERROR: Encountered non-finite generator loss at iter 9947; skipping update. +2025-10-31 17:42:18,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,053 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,054 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,055 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,056 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:18,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:18,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.98, mean=-0.08925, std=3.16, absmax=13.39 +2025-10-31 17:42:18,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.873, max=11.11, mean=-0.1092, std=2.599, absmax=11.11 +2025-10-31 17:42:18,552 ERROR: Encountered non-finite generator loss at iter 9948; skipping update. +2025-10-31 17:42:18,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:18,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:18,558 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:18,559 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:18,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=8.745, mean=-0.2962, std=2.451, absmax=11 +2025-10-31 17:42:18,561 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=7.677, mean=-0.2721, std=2.166, absmax=10.63 +2025-10-31 17:42:19,052 ERROR: Encountered non-finite generator loss at iter 9949; skipping update. +2025-10-31 17:42:19,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,056 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,057 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,059 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,060 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:19,061 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:19,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.17, mean=-0.1263, std=2.645, absmax=12.31 +2025-10-31 17:42:19,063 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9, mean=-0.189, std=2.327, absmax=10.2 +2025-10-31 17:42:19,554 ERROR: Encountered non-finite generator loss at iter 9950; skipping update. +2025-10-31 17:42:19,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,557 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:19,558 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:19,559 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:19,561 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:19,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.68, mean=-0.1215, std=3.237, absmax=13.68 +2025-10-31 17:42:19,563 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.835, max=10.11, mean=-0.1447, std=2.538, absmax=10.11 +2025-10-31 17:42:20,055 ERROR: Encountered non-finite generator loss at iter 9951; skipping update. +2025-10-31 17:42:20,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,058 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,059 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,060 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,061 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,062 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:20,063 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:20,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=12.71, mean=-0.2794, std=2.857, absmax=15.07 +2025-10-31 17:42:20,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.722, mean=-0.2804, std=2.446, absmax=10.13 +2025-10-31 17:42:20,558 ERROR: Encountered non-finite generator loss at iter 9952; skipping update. +2025-10-31 17:42:20,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,561 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,561 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,562 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,563 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:20,564 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:20,565 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:20,566 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:20,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.52, mean=-0.0568, std=2.785, absmax=13.39 +2025-10-31 17:42:20,568 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=8.991, mean=-0.0535, std=2.433, absmax=10.55 +2025-10-31 17:42:21,062 ERROR: Encountered non-finite generator loss at iter 9953; skipping update. +2025-10-31 17:42:21,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,065 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,069 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,070 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:21,071 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:21,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.34, max=13.16, mean=-0.2776, std=2.886, absmax=15.34 +2025-10-31 17:42:21,073 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=8.001, mean=-0.2859, std=2.385, absmax=12.12 +2025-10-31 17:42:21,568 ERROR: Encountered non-finite generator loss at iter 9954; skipping update. +2025-10-31 17:42:21,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,570 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,571 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,571 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,573 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:21,574 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:21,575 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:21,576 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:21,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.97, max=13.9, mean=-0.1548, std=3.285, absmax=15.97 +2025-10-31 17:42:21,578 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.35, max=10.89, mean=-0.2299, std=2.688, absmax=11.35 +2025-10-31 17:42:22,073 ERROR: Encountered non-finite generator loss at iter 9955; skipping update. +2025-10-31 17:42:22,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,076 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,077 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,078 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,079 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,080 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:22,081 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:22,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=16.27, mean=-0.08575, std=3.049, absmax=16.27 +2025-10-31 17:42:22,083 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.822, max=11.12, mean=-0.118, std=2.503, absmax=11.12 +2025-10-31 17:42:22,577 ERROR: Encountered non-finite generator loss at iter 9956; skipping update. +2025-10-31 17:42:22,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,579 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,580 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:22,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:22,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:22,585 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:22,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.47, mean=-0.1445, std=3.322, absmax=13.74 +2025-10-31 17:42:22,587 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.01, max=10.58, mean=-0.1545, std=2.763, absmax=11.01 +2025-10-31 17:42:23,079 ERROR: Encountered non-finite generator loss at iter 9957; skipping update. +2025-10-31 17:42:23,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,082 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,082 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,083 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,084 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,085 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:23,086 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:23,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.12, mean=-0.1986, std=2.54, absmax=11.95 +2025-10-31 17:42:23,088 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.843, max=8.447, mean=-0.1933, std=2.076, absmax=9.843 +2025-10-31 17:42:23,581 ERROR: Encountered non-finite generator loss at iter 9958; skipping update. +2025-10-31 17:42:23,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,583 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,583 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,584 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:23,587 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:23,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:23,588 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:23,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=10.28, mean=-0.3018, std=2.906, absmax=11.38 +2025-10-31 17:42:23,590 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=8.689, mean=-0.3135, std=2.456, absmax=10.12 +2025-10-31 17:42:24,082 ERROR: Encountered non-finite generator loss at iter 9959; skipping update. +2025-10-31 17:42:24,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:24,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:24,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=13.12, mean=-0.2518, std=2.675, absmax=13.12 +2025-10-31 17:42:24,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.353, max=9.887, mean=-0.2443, std=2.326, absmax=9.887 +2025-10-31 17:42:24,583 ERROR: Encountered non-finite generator loss at iter 9960; skipping update. +2025-10-31 17:42:24,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,585 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,586 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,586 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:24,586 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:24,587 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:24,587 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:24,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.42, mean=-0.2162, std=2.762, absmax=12.42 +2025-10-31 17:42:24,589 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.27, max=9.342, mean=-0.2599, std=2.476, absmax=11.27 +2025-10-31 17:42:25,081 ERROR: Encountered non-finite generator loss at iter 9961; skipping update. +2025-10-31 17:42:25,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,084 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,084 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:25,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:25,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=15.68, mean=-0.1465, std=3.543, absmax=15.68 +2025-10-31 17:42:25,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=10.48, mean=-0.1836, std=2.812, absmax=10.48 +2025-10-31 17:42:25,583 ERROR: Encountered non-finite generator loss at iter 9962; skipping update. +2025-10-31 17:42:25,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,586 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,586 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,587 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,588 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:25,589 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:25,590 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:25,591 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:25,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.55, mean=-0.1262, std=3.068, absmax=13.42 +2025-10-31 17:42:25,593 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.221, max=10.34, mean=-0.1032, std=2.417, absmax=10.34 +2025-10-31 17:42:26,084 ERROR: Encountered non-finite generator loss at iter 9963; skipping update. +2025-10-31 17:42:26,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,087 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,087 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,088 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,089 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,090 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,091 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:26,092 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:26,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.14, mean=0.1422, std=2.975, absmax=13.14 +2025-10-31 17:42:26,094 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.23, max=11.75, mean=0.1257, std=2.577, absmax=11.75 +2025-10-31 17:42:26,587 ERROR: Encountered non-finite generator loss at iter 9964; skipping update. +2025-10-31 17:42:26,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,589 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,590 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,590 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:26,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:26,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:26,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:26,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.5, max=13.59, mean=-0.1708, std=2.842, absmax=17.5 +2025-10-31 17:42:26,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=10.34, mean=-0.1385, std=2.399, absmax=11.41 +2025-10-31 17:42:27,088 ERROR: Encountered non-finite generator loss at iter 9965; skipping update. +2025-10-31 17:42:27,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,091 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,092 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,093 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,094 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,095 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:27,096 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:27,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.48, mean=-0.07012, std=3.075, absmax=12.48 +2025-10-31 17:42:27,098 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.373, max=9.949, mean=-0.1138, std=2.479, absmax=9.949 +2025-10-31 17:42:27,591 ERROR: Encountered non-finite generator loss at iter 9966; skipping update. +2025-10-31 17:42:27,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,593 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,594 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,595 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,596 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:27,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:27,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:27,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:27,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.08, mean=-0.1947, std=3.015, absmax=13.79 +2025-10-31 17:42:27,601 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.665, mean=-0.2248, std=2.568, absmax=10.92 +2025-10-31 17:42:28,092 ERROR: Encountered non-finite generator loss at iter 9967; skipping update. +2025-10-31 17:42:28,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,095 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,095 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,099 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,099 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:28,101 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:28,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.96, mean=-0.2694, std=2.711, absmax=14.96 +2025-10-31 17:42:28,103 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=8.341, mean=-0.245, std=2.162, absmax=10.32 +2025-10-31 17:42:28,595 ERROR: Encountered non-finite generator loss at iter 9968; skipping update. +2025-10-31 17:42:28,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,597 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,597 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,598 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,599 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:28,600 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:28,601 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:28,602 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:28,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.48, mean=-0.2915, std=3.222, absmax=14.15 +2025-10-31 17:42:28,604 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.747, max=8.673, mean=-0.2599, std=2.542, absmax=9.747 +2025-10-31 17:42:29,095 ERROR: Encountered non-finite generator loss at iter 9969; skipping update. +2025-10-31 17:42:29,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,098 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,099 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:29,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:29,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.68, mean=-0.2187, std=2.601, absmax=13.68 +2025-10-31 17:42:29,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.149, max=8.828, mean=-0.2522, std=2.05, absmax=9.149 +2025-10-31 17:42:29,596 ERROR: Encountered non-finite generator loss at iter 9970; skipping update. +2025-10-31 17:42:29,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,599 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,600 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:29,601 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:29,602 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:29,603 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:29,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.07, mean=-0.2263, std=3.148, absmax=14.14 +2025-10-31 17:42:29,605 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=10.79, mean=-0.2206, std=2.654, absmax=11.11 +2025-10-31 17:42:30,097 ERROR: Encountered non-finite generator loss at iter 9971; skipping update. +2025-10-31 17:42:30,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,100 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,101 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,102 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:30,103 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:30,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=16.05, mean=-0.1162, std=2.854, absmax=16.05 +2025-10-31 17:42:30,105 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.121, max=9.299, mean=-0.1794, std=2.385, absmax=9.299 +2025-10-31 17:42:30,596 ERROR: Encountered non-finite generator loss at iter 9972; skipping update. +2025-10-31 17:42:30,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,598 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,599 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,600 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,601 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:30,602 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:30,603 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:30,604 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:30,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=12.67, mean=-0.1029, std=2.809, absmax=12.67 +2025-10-31 17:42:30,606 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.473, max=9.596, mean=-0.104, std=2.246, absmax=9.596 +2025-10-31 17:42:31,097 ERROR: Encountered non-finite generator loss at iter 9973; skipping update. +2025-10-31 17:42:31,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,099 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,100 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,101 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,102 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,103 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,104 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:31,105 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:31,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.38, mean=-0.1036, std=3.261, absmax=14.38 +2025-10-31 17:42:31,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=11.01, mean=-0.1128, std=2.678, absmax=11.73 +2025-10-31 17:42:31,597 ERROR: Encountered non-finite generator loss at iter 9974; skipping update. +2025-10-31 17:42:31,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,600 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,601 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,602 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,603 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:31,604 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:31,605 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:31,606 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:31,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.3, mean=-0.04723, std=3.402, absmax=12.97 +2025-10-31 17:42:31,608 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=11.15, mean=-0.03691, std=2.968, absmax=11.37 +2025-10-31 17:42:32,099 ERROR: Encountered non-finite generator loss at iter 9975; skipping update. +2025-10-31 17:42:32,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,101 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,103 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,104 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,104 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,105 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,106 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:32,107 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:32,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=14.01, mean=-0.03614, std=2.681, absmax=14.01 +2025-10-31 17:42:32,109 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.78, max=10.54, mean=-0.06747, std=2.337, absmax=10.54 +2025-10-31 17:42:32,600 ERROR: Encountered non-finite generator loss at iter 9976; skipping update. +2025-10-31 17:42:32,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,603 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,604 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,605 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:32,606 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:32,607 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:32,608 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:32,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.2, mean=-0.2146, std=2.858, absmax=13.46 +2025-10-31 17:42:32,610 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.92, max=8.962, mean=-0.2055, std=2.296, absmax=10.92 +2025-10-31 17:42:33,100 ERROR: Encountered non-finite generator loss at iter 9977; skipping update. +2025-10-31 17:42:33,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,103 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,104 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,105 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,106 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,107 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,107 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:33,108 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:33,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.38, mean=-0.1075, std=3.291, absmax=13.38 +2025-10-31 17:42:33,111 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.377, mean=-0.1149, std=2.693, absmax=11.29 +2025-10-31 17:42:33,601 ERROR: Encountered non-finite generator loss at iter 9978; skipping update. +2025-10-31 17:42:33,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,604 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,605 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:33,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:33,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:33,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:33,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=14, mean=-0.1612, std=2.575, absmax=14 +2025-10-31 17:42:33,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.327, max=10.23, mean=-0.1925, std=2.147, absmax=10.23 +2025-10-31 17:42:34,103 ERROR: Encountered non-finite generator loss at iter 9979; skipping update. +2025-10-31 17:42:34,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,106 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,106 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,107 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,108 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,109 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,110 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:34,111 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:34,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.53, mean=-0.3652, std=2.871, absmax=12.72 +2025-10-31 17:42:34,113 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.57, max=8.697, mean=-0.3546, std=2.39, absmax=10.57 +2025-10-31 17:42:34,604 ERROR: Encountered non-finite generator loss at iter 9980; skipping update. +2025-10-31 17:42:34,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,606 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,607 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,608 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,609 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:34,610 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:34,611 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:34,612 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:34,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.86, mean=-0.06096, std=3.352, absmax=13.45 +2025-10-31 17:42:34,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.14, max=11.86, mean=-0.03395, std=3.024, absmax=11.86 +2025-10-31 17:42:35,106 ERROR: Encountered non-finite generator loss at iter 9981; skipping update. +2025-10-31 17:42:35,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,108 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,109 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,110 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,111 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,112 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,113 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:35,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:35,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=14.58, mean=0.04579, std=3.932, absmax=14.8 +2025-10-31 17:42:35,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=12.77, mean=0.07091, std=3.27, absmax=12.77 +2025-10-31 17:42:35,608 ERROR: Encountered non-finite generator loss at iter 9982; skipping update. +2025-10-31 17:42:35,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,611 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,611 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:35,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:35,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:35,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:35,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.02, mean=-0.2198, std=2.701, absmax=13.43 +2025-10-31 17:42:35,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.61, max=8.483, mean=-0.1864, std=2.231, absmax=11.61 +2025-10-31 17:42:36,110 ERROR: Encountered non-finite generator loss at iter 9983; skipping update. +2025-10-31 17:42:36,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,112 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,113 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,115 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:36,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:36,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.08, mean=-0.1346, std=2.875, absmax=13.05 +2025-10-31 17:42:36,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.438, mean=-0.2028, std=2.457, absmax=10.32 +2025-10-31 17:42:36,612 ERROR: Encountered non-finite generator loss at iter 9984; skipping update. +2025-10-31 17:42:36,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,614 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,615 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,615 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,615 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:36,616 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:36,617 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:36,618 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:36,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.73, mean=-0.0375, std=2.745, absmax=12.73 +2025-10-31 17:42:36,620 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.22, max=8.552, mean=-0.09841, std=2.197, absmax=10.22 +2025-10-31 17:42:37,112 ERROR: Encountered non-finite generator loss at iter 9985; skipping update. +2025-10-31 17:42:37,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,116 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,118 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,119 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:37,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:37,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.13, mean=-0.1653, std=2.958, absmax=13.08 +2025-10-31 17:42:37,123 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.775, max=9.93, mean=-0.1678, std=2.456, absmax=9.93 +2025-10-31 17:42:37,615 ERROR: Encountered non-finite generator loss at iter 9986; skipping update. +2025-10-31 17:42:37,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,618 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,618 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:37,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:37,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:37,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:37,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.65, mean=-0.2274, std=3.489, absmax=13.21 +2025-10-31 17:42:37,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=10.77, mean=-0.2187, std=2.962, absmax=11.31 +2025-10-31 17:42:38,117 ERROR: Encountered non-finite generator loss at iter 9987; skipping update. +2025-10-31 17:42:38,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,120 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,120 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,120 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,121 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,122 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,123 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:38,124 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:38,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=13.91, mean=0.2358, std=3.376, absmax=13.91 +2025-10-31 17:42:38,126 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.074, max=11.65, mean=0.2004, std=2.853, absmax=11.65 +2025-10-31 17:42:38,618 ERROR: Encountered non-finite generator loss at iter 9988; skipping update. +2025-10-31 17:42:38,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,620 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,620 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,622 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,623 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:38,624 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:38,624 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:38,625 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:38,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=10.87, mean=-0.2355, std=2.699, absmax=13.16 +2025-10-31 17:42:38,628 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=7.925, mean=-0.2459, std=2.275, absmax=10.35 +2025-10-31 17:42:39,119 ERROR: Encountered non-finite generator loss at iter 9989; skipping update. +2025-10-31 17:42:39,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,121 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,121 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:39,127 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:39,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=14.48, mean=-0.1903, std=2.97, absmax=15.01 +2025-10-31 17:42:39,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.12, max=10.57, mean=-0.1972, std=2.458, absmax=12.12 +2025-10-31 17:42:39,619 ERROR: Encountered non-finite generator loss at iter 9990; skipping update. +2025-10-31 17:42:39,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,622 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:39,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:39,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:39,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:39,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.56, mean=0.04665, std=3.385, absmax=14.26 +2025-10-31 17:42:39,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.54, max=10.02, mean=0.04959, std=2.702, absmax=10.02 +2025-10-31 17:42:40,120 ERROR: Encountered non-finite generator loss at iter 9991; skipping update. +2025-10-31 17:42:40,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,123 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,126 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:40,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:40,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.5, mean=-0.2208, std=3.359, absmax=12.91 +2025-10-31 17:42:40,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=10.45, mean=-0.191, std=2.97, absmax=10.45 +2025-10-31 17:42:40,623 ERROR: Encountered non-finite generator loss at iter 9992; skipping update. +2025-10-31 17:42:40,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,626 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,627 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,627 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:40,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:40,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:40,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:40,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=14.42, mean=-0.08699, std=2.798, absmax=14.42 +2025-10-31 17:42:40,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.759, max=11.36, mean=-0.1242, std=2.303, absmax=11.36 +2025-10-31 17:42:41,122 ERROR: Encountered non-finite generator loss at iter 9993; skipping update. +2025-10-31 17:42:41,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,125 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:41,128 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:41,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.07, mean=-0.1258, std=2.98, absmax=13.07 +2025-10-31 17:42:41,130 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.927, max=8.939, mean=-0.1072, std=2.49, absmax=8.939 +2025-10-31 17:42:41,621 ERROR: Encountered non-finite generator loss at iter 9994; skipping update. +2025-10-31 17:42:41,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,624 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,625 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:41,626 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:41,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:41,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:41,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.39, mean=-0.02521, std=3.063, absmax=13.44 +2025-10-31 17:42:41,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.48, max=9.979, mean=-0.04865, std=2.593, absmax=11.48 +2025-10-31 17:42:42,121 ERROR: Encountered non-finite generator loss at iter 9995; skipping update. +2025-10-31 17:42:42,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,124 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,125 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,125 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,127 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:42,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:42,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.57, mean=-0.1773, std=3.128, absmax=12.57 +2025-10-31 17:42:42,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.204, max=9.349, mean=-0.1942, std=2.556, absmax=9.349 +2025-10-31 17:42:42,622 ERROR: Encountered non-finite generator loss at iter 9996; skipping update. +2025-10-31 17:42:42,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,626 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:42,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:42,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:42,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:42,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=10.5, mean=-0.2231, std=2.6, absmax=10.86 +2025-10-31 17:42:42,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.558, max=8.401, mean=-0.2114, std=2.344, absmax=9.558 +2025-10-31 17:42:43,125 ERROR: Encountered non-finite generator loss at iter 9997; skipping update. +2025-10-31 17:42:43,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,127 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,128 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,129 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,130 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,131 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,132 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:43,133 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:43,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.04, mean=-0.2083, std=3.069, absmax=12.38 +2025-10-31 17:42:43,135 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=9.913, mean=-0.2094, std=2.482, absmax=10.42 +2025-10-31 17:42:43,627 ERROR: Encountered non-finite generator loss at iter 9998; skipping update. +2025-10-31 17:42:43,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,631 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:43,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:43,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:43,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:43,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=12.77, mean=-0.2398, std=3.375, absmax=15.25 +2025-10-31 17:42:43,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.37, max=10.05, mean=-0.2328, std=2.93, absmax=12.37 +2025-10-31 17:42:44,129 ERROR: Encountered non-finite generator loss at iter 9999; skipping update. +2025-10-31 17:42:44,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,130 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,132 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,133 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,134 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,135 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,136 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:44,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:44,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.58, mean=-0.137, std=2.713, absmax=14.58 +2025-10-31 17:42:44,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=11.59, mean=-0.1111, std=2.268, absmax=11.59 +2025-10-31 17:42:44,631 ERROR: Encountered non-finite generator loss at iter 10000; skipping update. +2025-10-31 17:42:44,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,634 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,634 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:42:44,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:42:44,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:42:44,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:42:44,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=16.02, mean=0.1037, std=3.528, absmax=16.02 +2025-10-31 17:42:44,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.146, max=13.8, mean=0.05949, std=2.885, absmax=13.8 +2025-10-31 17:42:44,643 INFO: [29..][epoch: 0, step: 10,000, lr:(1.500e-04,)] [eta: 1 day, 15:29:18, time (data): 0.503 (0.000)] +2025-10-31 17:42:44,643 INFO: Saving models and training states. +2025-10-31 17:44:00,577 INFO: Validation val_x2 + # l1_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 17:46:14,996 INFO: Validation val_x4 + # l1_latent: nan Best: -inf @ -1 iter + # l2_latent: nan Best: -inf @ -1 iter + # pixel_psnr_pt: nan Best: -inf @ -1 iter + +2025-10-31 17:46:15,487 ERROR: Encountered non-finite generator loss at iter 10001; skipping update. +2025-10-31 17:46:15,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,491 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:15,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:15,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.7, mean=-0.1121, std=2.671, absmax=11.7 +2025-10-31 17:46:15,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.227, max=9.159, mean=-0.1436, std=2.132, absmax=9.227 +2025-10-31 17:46:15,990 ERROR: Encountered non-finite generator loss at iter 10002; skipping update. +2025-10-31 17:46:15,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,993 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:15,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:15,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:15,996 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:15,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.83, mean=-0.3004, std=2.939, absmax=13.83 +2025-10-31 17:46:15,998 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=8.728, mean=-0.2572, std=2.561, absmax=11.38 +2025-10-31 17:46:16,489 ERROR: Encountered non-finite generator loss at iter 10003; skipping update. +2025-10-31 17:46:16,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,493 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,494 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,495 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,496 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:16,497 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:16,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.25, mean=0.1731, std=3.391, absmax=14.25 +2025-10-31 17:46:16,499 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.37, max=11.59, mean=0.05297, std=2.738, absmax=11.59 +2025-10-31 17:46:16,990 ERROR: Encountered non-finite generator loss at iter 10004; skipping update. +2025-10-31 17:46:16,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:16,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:16,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:16,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:16,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.62, mean=-0.1399, std=2.969, absmax=14.62 +2025-10-31 17:46:17,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.24, max=11.22, mean=-0.1076, std=2.503, absmax=11.22 +2025-10-31 17:46:17,491 ERROR: Encountered non-finite generator loss at iter 10005; skipping update. +2025-10-31 17:46:17,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:17,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:17,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:17,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:17,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:17,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:17,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:17,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:17,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.83, mean=0.01194, std=3.35, absmax=12.53 +2025-10-31 17:46:17,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=10.01, mean=-0.06982, std=2.85, absmax=10.11 +2025-10-31 17:46:17,998 ERROR: Encountered non-finite generator loss at iter 10006; skipping update. +2025-10-31 17:46:17,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,001 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,001 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,001 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,003 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,004 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,005 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:18,006 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:18,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=14.61, mean=-0.01676, std=3.001, absmax=14.61 +2025-10-31 17:46:18,008 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.789, max=12.72, mean=-0.02672, std=2.495, absmax=12.72 +2025-10-31 17:46:18,500 ERROR: Encountered non-finite generator loss at iter 10007; skipping update. +2025-10-31 17:46:18,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,503 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,504 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:18,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:18,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:18,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:18,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.08, mean=-0.3427, std=2.626, absmax=14.08 +2025-10-31 17:46:18,510 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.38, max=11.45, mean=-0.2833, std=2.148, absmax=11.45 +2025-10-31 17:46:19,001 ERROR: Encountered non-finite generator loss at iter 10008; skipping update. +2025-10-31 17:46:19,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,004 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:19,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:19,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.75, mean=-0.09663, std=3.265, absmax=13.75 +2025-10-31 17:46:19,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=9.837, mean=-0.1302, std=2.706, absmax=11.25 +2025-10-31 17:46:19,508 ERROR: Encountered non-finite generator loss at iter 10009; skipping update. +2025-10-31 17:46:19,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,513 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:19,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:19,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:19,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:19,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.56, mean=-0.1061, std=2.863, absmax=12.56 +2025-10-31 17:46:19,520 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.91, max=11.86, mean=-0.08745, std=2.467, absmax=11.86 +2025-10-31 17:46:20,012 ERROR: Encountered non-finite generator loss at iter 10010; skipping update. +2025-10-31 17:46:20,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,015 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,016 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,018 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,019 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,020 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:20,021 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:20,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.19, mean=-0.3358, std=2.722, absmax=13.3 +2025-10-31 17:46:20,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.3, max=9.239, mean=-0.3277, std=2.367, absmax=9.3 +2025-10-31 17:46:20,515 ERROR: Encountered non-finite generator loss at iter 10011; skipping update. +2025-10-31 17:46:20,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,519 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,520 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:20,523 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:20,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:20,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:20,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=10.46, mean=-0.3394, std=2.793, absmax=12.26 +2025-10-31 17:46:20,527 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.63, max=8.412, mean=-0.3196, std=2.591, absmax=10.63 +2025-10-31 17:46:21,019 ERROR: Encountered non-finite generator loss at iter 10012; skipping update. +2025-10-31 17:46:21,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,021 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,021 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,022 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:21,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:21,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.26, mean=-0.0963, std=2.778, absmax=12.26 +2025-10-31 17:46:21,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=10.35, mean=-0.1613, std=2.409, absmax=10.35 +2025-10-31 17:46:21,520 ERROR: Encountered non-finite generator loss at iter 10013; skipping update. +2025-10-31 17:46:21,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,523 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,523 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,525 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,526 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:21,527 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:21,528 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:21,528 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:21,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.31, mean=-0.1522, std=2.933, absmax=12.98 +2025-10-31 17:46:21,530 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.16, max=11.57, mean=-0.1055, std=2.771, absmax=12.16 +2025-10-31 17:46:22,022 ERROR: Encountered non-finite generator loss at iter 10014; skipping update. +2025-10-31 17:46:22,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,024 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,026 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,028 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,029 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:22,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:22,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.17, mean=-0.355, std=2.692, absmax=12.91 +2025-10-31 17:46:22,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.407, mean=-0.3324, std=2.355, absmax=10.81 +2025-10-31 17:46:22,524 ERROR: Encountered non-finite generator loss at iter 10015; skipping update. +2025-10-31 17:46:22,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,529 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,529 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:22,531 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:22,532 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:22,533 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:22,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=12.51, mean=-0.02225, std=3.172, absmax=14.99 +2025-10-31 17:46:22,535 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.827, max=10.8, mean=-0.02708, std=2.749, absmax=10.8 +2025-10-31 17:46:23,027 ERROR: Encountered non-finite generator loss at iter 10016; skipping update. +2025-10-31 17:46:23,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,030 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,031 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,032 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,033 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,034 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:23,035 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:23,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=11.72, mean=-0.03853, std=2.689, absmax=11.72 +2025-10-31 17:46:23,037 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.991, max=11.41, mean=-0.02174, std=2.397, absmax=11.41 +2025-10-31 17:46:23,530 ERROR: Encountered non-finite generator loss at iter 10017; skipping update. +2025-10-31 17:46:23,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,532 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,532 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,533 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,534 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:23,535 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:23,536 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:23,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:23,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.25, mean=-0.1694, std=2.857, absmax=12.25 +2025-10-31 17:46:23,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=8.481, mean=-0.2115, std=2.394, absmax=10.26 +2025-10-31 17:46:24,029 ERROR: Encountered non-finite generator loss at iter 10018; skipping update. +2025-10-31 17:46:24,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,032 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,033 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,034 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,035 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,036 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,037 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:24,038 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:24,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.12, mean=-0.2219, std=3.047, absmax=13.3 +2025-10-31 17:46:24,039 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.41, max=9.875, mean=-0.1722, std=2.577, absmax=11.41 +2025-10-31 17:46:24,531 ERROR: Encountered non-finite generator loss at iter 10019; skipping update. +2025-10-31 17:46:24,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,534 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,535 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:24,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:24,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:24,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:24,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=19.31, mean=-0.3093, std=3.184, absmax=19.31 +2025-10-31 17:46:24,546 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=15.08, mean=-0.2985, std=2.597, absmax=15.08 +2025-10-31 17:46:25,036 ERROR: Encountered non-finite generator loss at iter 10020; skipping update. +2025-10-31 17:46:25,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,039 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,039 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,040 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,041 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,042 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,043 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:25,044 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:25,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.57, mean=-0.1793, std=3.21, absmax=13.57 +2025-10-31 17:46:25,046 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.279, max=10.34, mean=-0.1735, std=2.602, absmax=10.34 +2025-10-31 17:46:25,538 ERROR: Encountered non-finite generator loss at iter 10021; skipping update. +2025-10-31 17:46:25,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:25,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:25,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:25,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:25,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.92, mean=-0.1747, std=2.687, absmax=12.92 +2025-10-31 17:46:25,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.521, max=8.046, mean=-0.1168, std=2.281, absmax=9.521 +2025-10-31 17:46:26,039 ERROR: Encountered non-finite generator loss at iter 10022; skipping update. +2025-10-31 17:46:26,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,041 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,042 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,044 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,045 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,046 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:26,047 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:26,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=9.204, mean=-0.2773, std=2.524, absmax=12.09 +2025-10-31 17:46:26,049 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.16, max=7.808, mean=-0.2837, std=2.14, absmax=10.16 +2025-10-31 17:46:26,541 ERROR: Encountered non-finite generator loss at iter 10023; skipping update. +2025-10-31 17:46:26,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,544 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,545 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:26,546 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:26,547 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:26,548 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:26,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.88, mean=-0.2689, std=2.319, absmax=12.14 +2025-10-31 17:46:26,550 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.343, max=8.58, mean=-0.249, std=2.095, absmax=9.343 +2025-10-31 17:46:27,041 ERROR: Encountered non-finite generator loss at iter 10024; skipping update. +2025-10-31 17:46:27,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,043 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,043 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,045 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,046 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:27,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:27,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.18, mean=-0.04446, std=3.341, absmax=13.79 +2025-10-31 17:46:27,050 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.5, max=9.377, mean=-0.08831, std=2.562, absmax=10.5 +2025-10-31 17:46:27,541 ERROR: Encountered non-finite generator loss at iter 10025; skipping update. +2025-10-31 17:46:27,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:27,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:27,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:27,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:27,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.1, mean=-0.1378, std=3.293, absmax=13.42 +2025-10-31 17:46:27,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.711, max=10.94, mean=-0.1761, std=2.657, absmax=10.94 +2025-10-31 17:46:28,041 ERROR: Encountered non-finite generator loss at iter 10026; skipping update. +2025-10-31 17:46:28,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,044 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,044 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,048 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:28,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:28,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.54, mean=-0.05751, std=2.957, absmax=12.54 +2025-10-31 17:46:28,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.29, mean=-0.02786, std=2.653, absmax=11.29 +2025-10-31 17:46:28,541 ERROR: Encountered non-finite generator loss at iter 10027; skipping update. +2025-10-31 17:46:28,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,544 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,546 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,547 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:28,548 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:28,549 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:28,550 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:28,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.23, mean=-0.2177, std=3.291, absmax=15.23 +2025-10-31 17:46:28,552 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.33, mean=-0.1993, std=2.574, absmax=10.33 +2025-10-31 17:46:29,042 ERROR: Encountered non-finite generator loss at iter 10028; skipping update. +2025-10-31 17:46:29,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,045 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,047 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,048 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,049 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,050 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:29,051 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:29,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=11.42, mean=-0.3325, std=2.579, absmax=11.42 +2025-10-31 17:46:29,053 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.408, max=8.905, mean=-0.3383, std=2.22, absmax=9.408 +2025-10-31 17:46:29,544 ERROR: Encountered non-finite generator loss at iter 10029; skipping update. +2025-10-31 17:46:29,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,546 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,547 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,548 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,548 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:29,550 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:29,551 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:29,552 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:29,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.62, mean=-0.4242, std=3.351, absmax=14.35 +2025-10-31 17:46:29,554 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.83, max=10.78, mean=-0.3707, std=2.774, absmax=10.83 +2025-10-31 17:46:30,044 ERROR: Encountered non-finite generator loss at iter 10030; skipping update. +2025-10-31 17:46:30,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,047 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:30,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:30,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.12, mean=-0.1764, std=2.494, absmax=13.12 +2025-10-31 17:46:30,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.558, max=9.311, mean=-0.1804, std=2.111, absmax=9.311 +2025-10-31 17:46:30,546 ERROR: Encountered non-finite generator loss at iter 10031; skipping update. +2025-10-31 17:46:30,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:30,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:30,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:30,555 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:30,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=9.861, mean=-0.218, std=2.824, absmax=12.15 +2025-10-31 17:46:30,557 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.14, max=7.511, mean=-0.2125, std=2.305, absmax=9.14 +2025-10-31 17:46:31,048 ERROR: Encountered non-finite generator loss at iter 10032; skipping update. +2025-10-31 17:46:31,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,051 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,052 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,052 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,053 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,054 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,054 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:31,055 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:31,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.77, mean=-0.1415, std=3.342, absmax=12.77 +2025-10-31 17:46:31,058 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.591, max=10.21, mean=-0.1645, std=2.566, absmax=10.21 +2025-10-31 17:46:31,550 ERROR: Encountered non-finite generator loss at iter 10033; skipping update. +2025-10-31 17:46:31,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,553 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,553 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,554 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,555 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:31,642 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:31,643 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:31,644 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:31,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=14.45, mean=-0.04659, std=3.013, absmax=14.65 +2025-10-31 17:46:31,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=11.19, mean=-0.03633, std=2.492, absmax=11.19 +2025-10-31 17:46:32,137 ERROR: Encountered non-finite generator loss at iter 10034; skipping update. +2025-10-31 17:46:32,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,144 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:32,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:32,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.2, mean=-0.00898, std=3.239, absmax=13.2 +2025-10-31 17:46:32,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.07, max=11.55, mean=-0.03051, std=2.697, absmax=11.55 +2025-10-31 17:46:32,640 ERROR: Encountered non-finite generator loss at iter 10035; skipping update. +2025-10-31 17:46:32,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,643 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,643 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,644 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,645 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:32,646 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:32,647 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:32,648 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:32,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.06, mean=-0.1741, std=3.112, absmax=12.93 +2025-10-31 17:46:32,649 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.96, max=8.98, mean=-0.244, std=2.826, absmax=12.96 +2025-10-31 17:46:33,141 ERROR: Encountered non-finite generator loss at iter 10036; skipping update. +2025-10-31 17:46:33,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,144 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,145 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,145 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,146 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,147 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,148 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:33,149 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:33,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.83, mean=0.024, std=3.025, absmax=14.83 +2025-10-31 17:46:33,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.59, max=9.037, mean=0.008203, std=2.411, absmax=9.59 +2025-10-31 17:46:33,645 ERROR: Encountered non-finite generator loss at iter 10037; skipping update. +2025-10-31 17:46:33,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,648 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,649 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:33,650 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:33,650 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:33,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:33,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=16.05, mean=-0.1204, std=3.246, absmax=16.05 +2025-10-31 17:46:33,653 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.682, max=12.15, mean=-0.09437, std=2.684, absmax=12.15 +2025-10-31 17:46:34,146 ERROR: Encountered non-finite generator loss at iter 10038; skipping update. +2025-10-31 17:46:34,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,149 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:34,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:34,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.88, mean=-0.2566, std=3.187, absmax=12.88 +2025-10-31 17:46:34,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=10.35, mean=-0.2068, std=2.789, absmax=11.63 +2025-10-31 17:46:34,650 ERROR: Encountered non-finite generator loss at iter 10039; skipping update. +2025-10-31 17:46:34,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,652 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,653 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:34,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:34,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:34,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:34,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=11.66, mean=-0.2584, std=2.603, absmax=11.66 +2025-10-31 17:46:34,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=8.723, mean=-0.3154, std=2.417, absmax=11.09 +2025-10-31 17:46:35,152 ERROR: Encountered non-finite generator loss at iter 10040; skipping update. +2025-10-31 17:46:35,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,154 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,154 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,155 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,156 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,157 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,158 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:35,159 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:35,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.79, mean=-0.2139, std=2.894, absmax=13.04 +2025-10-31 17:46:35,161 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.87, max=8.383, mean=-0.2079, std=2.456, absmax=10.87 +2025-10-31 17:46:35,653 ERROR: Encountered non-finite generator loss at iter 10041; skipping update. +2025-10-31 17:46:35,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,655 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,656 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:35,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:35,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:35,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:35,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.52, mean=-0.09641, std=3.05, absmax=12.74 +2025-10-31 17:46:35,662 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=10.49, mean=-0.07382, std=2.641, absmax=10.49 +2025-10-31 17:46:36,154 ERROR: Encountered non-finite generator loss at iter 10042; skipping update. +2025-10-31 17:46:36,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,156 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,156 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,159 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:36,160 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:36,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=14.69, mean=-0.1275, std=3.199, absmax=14.69 +2025-10-31 17:46:36,162 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=12.14, mean=-0.1042, std=2.783, absmax=12.14 +2025-10-31 17:46:36,654 ERROR: Encountered non-finite generator loss at iter 10043; skipping update. +2025-10-31 17:46:36,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,656 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,657 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,657 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,658 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:36,659 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:36,660 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:36,661 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:36,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.02, mean=-0.3449, std=3.455, absmax=13.64 +2025-10-31 17:46:36,663 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=10.14, mean=-0.3121, std=2.926, absmax=12.07 +2025-10-31 17:46:37,154 ERROR: Encountered non-finite generator loss at iter 10044; skipping update. +2025-10-31 17:46:37,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,157 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,158 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,159 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,160 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,161 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,162 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:37,163 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:37,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.41, mean=-0.2182, std=2.819, absmax=13.41 +2025-10-31 17:46:37,165 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.512, max=8.828, mean=-0.1795, std=2.357, absmax=9.512 +2025-10-31 17:46:37,657 ERROR: Encountered non-finite generator loss at iter 10045; skipping update. +2025-10-31 17:46:37,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,659 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,661 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,662 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,663 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:37,663 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:37,664 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:37,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:37,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=16.99, mean=0.0001822, std=3.161, absmax=16.99 +2025-10-31 17:46:37,668 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=14.12, mean=-0.02428, std=2.652, absmax=14.12 +2025-10-31 17:46:38,159 ERROR: Encountered non-finite generator loss at iter 10046; skipping update. +2025-10-31 17:46:38,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,164 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,165 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:38,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:38,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.78, mean=-0.002849, std=2.901, absmax=12.78 +2025-10-31 17:46:38,169 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.969, max=8.812, mean=-0.04676, std=2.293, absmax=8.969 +2025-10-31 17:46:38,661 ERROR: Encountered non-finite generator loss at iter 10047; skipping update. +2025-10-31 17:46:38,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,663 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,663 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,664 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,666 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:38,667 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:38,668 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:38,669 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:38,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.58, mean=-0.1626, std=3.007, absmax=13.08 +2025-10-31 17:46:38,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.71, max=9.726, mean=-0.1841, std=2.521, absmax=11.71 +2025-10-31 17:46:39,163 ERROR: Encountered non-finite generator loss at iter 10048; skipping update. +2025-10-31 17:46:39,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,165 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,166 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,167 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:39,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:39,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.99, mean=-0.2621, std=3.181, absmax=12.89 +2025-10-31 17:46:39,168 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.471, mean=-0.1748, std=2.645, absmax=10.72 +2025-10-31 17:46:39,658 ERROR: Encountered non-finite generator loss at iter 10049; skipping update. +2025-10-31 17:46:39,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,661 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:39,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:39,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:39,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:39,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=11.38, mean=-0.2039, std=2.816, absmax=13.46 +2025-10-31 17:46:39,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.1, max=8.061, mean=-0.2018, std=2.425, absmax=11.1 +2025-10-31 17:46:40,160 ERROR: Encountered non-finite generator loss at iter 10050; skipping update. +2025-10-31 17:46:40,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,162 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,162 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,163 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,165 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,166 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,166 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:40,167 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:40,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.91, mean=-0.07877, std=2.878, absmax=13.91 +2025-10-31 17:46:40,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.94, mean=-0.1142, std=2.348, absmax=10.2 +2025-10-31 17:46:40,662 ERROR: Encountered non-finite generator loss at iter 10051; skipping update. +2025-10-31 17:46:40,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,664 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,665 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,666 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,667 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:40,668 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:40,669 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:40,670 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:40,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.89, mean=0.03956, std=3.242, absmax=13.89 +2025-10-31 17:46:40,672 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.922, max=11.34, mean=0.0318, std=2.659, absmax=11.34 +2025-10-31 17:46:41,164 ERROR: Encountered non-finite generator loss at iter 10052; skipping update. +2025-10-31 17:46:41,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,167 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,167 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,168 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,169 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,170 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,171 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:41,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:41,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.29, mean=-0.1929, std=3.044, absmax=15.29 +2025-10-31 17:46:41,174 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=12.31, mean=-0.2232, std=2.67, absmax=12.31 +2025-10-31 17:46:41,668 ERROR: Encountered non-finite generator loss at iter 10053; skipping update. +2025-10-31 17:46:41,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,670 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,671 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:41,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:41,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:41,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:41,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=9.996, mean=-0.2635, std=2.5, absmax=11.78 +2025-10-31 17:46:41,674 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.396, max=7.067, mean=-0.1872, std=2.241, absmax=9.396 +2025-10-31 17:46:42,167 ERROR: Encountered non-finite generator loss at iter 10054; skipping update. +2025-10-31 17:46:42,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,170 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,171 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,172 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,173 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,174 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,175 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:42,176 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:42,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=11, mean=-0.2287, std=2.739, absmax=13.64 +2025-10-31 17:46:42,178 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.991, max=10.15, mean=-0.2271, std=2.267, absmax=10.15 +2025-10-31 17:46:42,672 ERROR: Encountered non-finite generator loss at iter 10055; skipping update. +2025-10-31 17:46:42,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,675 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,676 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,677 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,678 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:42,679 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:42,680 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:42,681 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:42,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.03, mean=-0.1588, std=3.102, absmax=14.03 +2025-10-31 17:46:42,683 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=9.576, mean=-0.1824, std=2.54, absmax=10.11 +2025-10-31 17:46:43,176 ERROR: Encountered non-finite generator loss at iter 10056; skipping update. +2025-10-31 17:46:43,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,179 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,180 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,181 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,182 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,183 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,184 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:43,185 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:43,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.69, mean=-0.1551, std=2.683, absmax=11.69 +2025-10-31 17:46:43,187 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.691, max=7.994, mean=-0.121, std=2.194, absmax=9.691 +2025-10-31 17:46:43,681 ERROR: Encountered non-finite generator loss at iter 10057; skipping update. +2025-10-31 17:46:43,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:43,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:43,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:43,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:43,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.58, mean=-0.1702, std=3.316, absmax=14.61 +2025-10-31 17:46:43,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.53, max=10.05, mean=-0.1507, std=2.809, absmax=12.53 +2025-10-31 17:46:44,183 ERROR: Encountered non-finite generator loss at iter 10058; skipping update. +2025-10-31 17:46:44,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,187 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,188 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,189 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,190 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,192 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:44,193 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:44,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.16, mean=-0.2025, std=3.062, absmax=13.74 +2025-10-31 17:46:44,195 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.496, mean=-0.2078, std=2.608, absmax=11.06 +2025-10-31 17:46:44,687 ERROR: Encountered non-finite generator loss at iter 10059; skipping update. +2025-10-31 17:46:44,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,690 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:44,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:44,693 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:44,694 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:44,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=16.84, mean=-0.1129, std=2.948, absmax=16.84 +2025-10-31 17:46:44,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=9.781, mean=-0.1359, std=2.526, absmax=10.39 +2025-10-31 17:46:45,190 ERROR: Encountered non-finite generator loss at iter 10060; skipping update. +2025-10-31 17:46:45,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,193 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,194 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,195 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,196 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,197 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,198 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:45,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:45,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.65, mean=-0.2371, std=3.027, absmax=12.65 +2025-10-31 17:46:45,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.399, mean=-0.2129, std=2.369, absmax=11.03 +2025-10-31 17:46:45,692 ERROR: Encountered non-finite generator loss at iter 10061; skipping update. +2025-10-31 17:46:45,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,695 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,696 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,697 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,698 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:45,699 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:45,700 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:45,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:45,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=16.3, mean=-0.119, std=2.82, absmax=16.3 +2025-10-31 17:46:45,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.596, max=8.289, mean=-0.1573, std=2.221, absmax=9.596 +2025-10-31 17:46:46,197 ERROR: Encountered non-finite generator loss at iter 10062; skipping update. +2025-10-31 17:46:46,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,199 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,199 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,200 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,201 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,202 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,203 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:46,204 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:46,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.47, mean=-0.09833, std=2.97, absmax=14.47 +2025-10-31 17:46:46,206 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.985, max=11.82, mean=-0.111, std=2.526, absmax=11.82 +2025-10-31 17:46:46,699 ERROR: Encountered non-finite generator loss at iter 10063; skipping update. +2025-10-31 17:46:46,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,700 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,701 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,702 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:46,705 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:46,706 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:46,707 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:46,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.8, mean=-0.2416, std=2.868, absmax=13.8 +2025-10-31 17:46:46,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.46, max=8.806, mean=-0.2467, std=2.333, absmax=10.46 +2025-10-31 17:46:47,201 ERROR: Encountered non-finite generator loss at iter 10064; skipping update. +2025-10-31 17:46:47,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,204 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,204 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,204 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,205 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,206 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,207 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:47,208 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:47,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.51, mean=-0.05994, std=2.725, absmax=12.51 +2025-10-31 17:46:47,210 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.851, max=8.792, mean=-0.1026, std=2.251, absmax=8.851 +2025-10-31 17:46:47,702 ERROR: Encountered non-finite generator loss at iter 10065; skipping update. +2025-10-31 17:46:47,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,705 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,705 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,706 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,707 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:47,708 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:47,709 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:47,710 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:47,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=12.59, mean=-0.243, std=2.778, absmax=14.84 +2025-10-31 17:46:47,712 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=7.687, mean=-0.2598, std=2.293, absmax=10.17 +2025-10-31 17:46:48,204 ERROR: Encountered non-finite generator loss at iter 10066; skipping update. +2025-10-31 17:46:48,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,210 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,211 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,212 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:48,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:48,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=14.29, mean=0.05751, std=3.033, absmax=14.29 +2025-10-31 17:46:48,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.834, max=10.83, mean=0.01577, std=2.602, absmax=10.83 +2025-10-31 17:46:48,709 ERROR: Encountered non-finite generator loss at iter 10067; skipping update. +2025-10-31 17:46:48,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:48,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:48,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:48,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:48,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.16, mean=-0.2049, std=2.618, absmax=12.04 +2025-10-31 17:46:48,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.701, max=8.501, mean=-0.1846, std=2.135, absmax=8.701 +2025-10-31 17:46:49,213 ERROR: Encountered non-finite generator loss at iter 10068; skipping update. +2025-10-31 17:46:49,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,216 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,217 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,218 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,219 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,220 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:49,221 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:49,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.67, mean=-0.08133, std=3.392, absmax=14.67 +2025-10-31 17:46:49,223 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=12.52, mean=-0.04444, std=2.943, absmax=12.52 +2025-10-31 17:46:49,717 ERROR: Encountered non-finite generator loss at iter 10069; skipping update. +2025-10-31 17:46:49,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,720 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,721 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,722 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,723 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:49,724 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:49,724 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:49,725 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:49,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.37, mean=0.03412, std=3.29, absmax=13.37 +2025-10-31 17:46:49,727 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.3, mean=0.009706, std=2.726, absmax=11.3 +2025-10-31 17:46:50,220 ERROR: Encountered non-finite generator loss at iter 10070; skipping update. +2025-10-31 17:46:50,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,223 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,223 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,224 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,225 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,226 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,227 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:50,228 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:50,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.75, mean=-0.1907, std=3.338, absmax=15.75 +2025-10-31 17:46:50,230 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.57, max=12.3, mean=-0.2048, std=2.812, absmax=12.3 +2025-10-31 17:46:50,723 ERROR: Encountered non-finite generator loss at iter 10071; skipping update. +2025-10-31 17:46:50,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,726 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,726 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,727 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,728 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:50,729 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:50,730 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:50,731 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:50,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.67, mean=-0.2455, std=2.806, absmax=14.04 +2025-10-31 17:46:50,733 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=8.345, mean=-0.2579, std=2.31, absmax=12.21 +2025-10-31 17:46:51,226 ERROR: Encountered non-finite generator loss at iter 10072; skipping update. +2025-10-31 17:46:51,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,229 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,229 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,230 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,232 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:51,234 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:51,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.29, mean=-0.1494, std=2.48, absmax=12.09 +2025-10-31 17:46:51,236 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.788, max=9.082, mean=-0.1813, std=2.113, absmax=9.082 +2025-10-31 17:46:51,730 ERROR: Encountered non-finite generator loss at iter 10073; skipping update. +2025-10-31 17:46:51,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,733 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,734 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,735 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,736 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:51,737 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:51,738 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:51,739 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:51,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.17, mean=-0.2583, std=2.885, absmax=12.81 +2025-10-31 17:46:51,741 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.84, max=8.484, mean=-0.2342, std=2.487, absmax=11.84 +2025-10-31 17:46:52,235 ERROR: Encountered non-finite generator loss at iter 10074; skipping update. +2025-10-31 17:46:52,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,237 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,238 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,238 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,239 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:52,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:52,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.46, mean=-0.1416, std=2.8, absmax=13.46 +2025-10-31 17:46:52,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=10.45, mean=-0.1744, std=2.339, absmax=10.58 +2025-10-31 17:46:52,737 ERROR: Encountered non-finite generator loss at iter 10075; skipping update. +2025-10-31 17:46:52,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,739 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:52,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:52,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:52,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:52,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.45, mean=-0.1574, std=3.072, absmax=13.45 +2025-10-31 17:46:52,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.38, max=10.16, mean=-0.1412, std=2.522, absmax=10.38 +2025-10-31 17:46:53,241 ERROR: Encountered non-finite generator loss at iter 10076; skipping update. +2025-10-31 17:46:53,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:53,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:53,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.97, max=14.94, mean=-0.3068, std=3.447, absmax=16.97 +2025-10-31 17:46:53,251 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=10.67, mean=-0.3057, std=2.842, absmax=10.78 +2025-10-31 17:46:53,744 ERROR: Encountered non-finite generator loss at iter 10077; skipping update. +2025-10-31 17:46:53,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,749 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:53,750 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:53,751 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:53,752 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:53,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=10.95, mean=-0.3405, std=3.165, absmax=13.37 +2025-10-31 17:46:53,754 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.87, max=9.373, mean=-0.3238, std=2.869, absmax=11.87 +2025-10-31 17:46:54,247 ERROR: Encountered non-finite generator loss at iter 10078; skipping update. +2025-10-31 17:46:54,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,249 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,250 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,252 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,253 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,253 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,254 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:54,256 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:54,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.81, mean=-0.127, std=2.607, absmax=13.07 +2025-10-31 17:46:54,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.135, max=10.38, mean=-0.1564, std=2.225, absmax=10.38 +2025-10-31 17:46:54,751 ERROR: Encountered non-finite generator loss at iter 10079; skipping update. +2025-10-31 17:46:54,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,754 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,755 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,756 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,757 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:54,758 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:54,759 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:54,760 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:54,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.49, mean=0.01624, std=3.178, absmax=14.17 +2025-10-31 17:46:54,762 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=10.14, mean=-0.01515, std=2.686, absmax=10.97 +2025-10-31 17:46:55,256 ERROR: Encountered non-finite generator loss at iter 10080; skipping update. +2025-10-31 17:46:55,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,258 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,260 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,261 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,262 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,263 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,263 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:55,264 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:55,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=15.52, mean=-0.01555, std=3.927, absmax=15.52 +2025-10-31 17:46:55,266 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.29, max=13.19, mean=0.01101, std=3.394, absmax=13.19 +2025-10-31 17:46:55,759 ERROR: Encountered non-finite generator loss at iter 10081; skipping update. +2025-10-31 17:46:55,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,762 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,763 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,764 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,765 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:55,766 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:55,767 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:55,768 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:55,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=11.41, mean=-0.3334, std=2.799, absmax=15.4 +2025-10-31 17:46:55,770 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=7.747, mean=-0.2928, std=2.307, absmax=9.882 +2025-10-31 17:46:56,266 ERROR: Encountered non-finite generator loss at iter 10082; skipping update. +2025-10-31 17:46:56,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,269 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,270 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,271 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,272 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,273 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,274 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:56,275 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:56,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=13.33, mean=-0.03176, std=3.088, absmax=14.84 +2025-10-31 17:46:56,277 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=9.404, mean=-0.05673, std=2.654, absmax=11.76 +2025-10-31 17:46:56,770 ERROR: Encountered non-finite generator loss at iter 10083; skipping update. +2025-10-31 17:46:56,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,771 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,773 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,774 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,775 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:56,776 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:56,777 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:56,778 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:56,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=15.16, mean=0.09623, std=4.002, absmax=15.16 +2025-10-31 17:46:56,780 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=14.82, mean=0.07136, std=3.443, absmax=14.82 +2025-10-31 17:46:57,273 ERROR: Encountered non-finite generator loss at iter 10084; skipping update. +2025-10-31 17:46:57,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,276 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,276 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,277 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,278 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,279 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,280 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:57,281 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:57,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=11.44, mean=-0.1668, std=2.822, absmax=13.37 +2025-10-31 17:46:57,283 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.44, max=8.971, mean=-0.1418, std=2.419, absmax=10.44 +2025-10-31 17:46:57,776 ERROR: Encountered non-finite generator loss at iter 10085; skipping update. +2025-10-31 17:46:57,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,779 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,779 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,780 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:57,781 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:57,782 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:57,783 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:57,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.9, mean=-0.05094, std=3.266, absmax=14.9 +2025-10-31 17:46:57,785 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.338, max=14.49, mean=-0.02675, std=2.875, absmax=14.49 +2025-10-31 17:46:58,278 ERROR: Encountered non-finite generator loss at iter 10086; skipping update. +2025-10-31 17:46:58,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,281 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,281 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,282 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,283 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,284 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,285 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:58,286 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:58,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.4, mean=-0.1813, std=3.513, absmax=13.89 +2025-10-31 17:46:58,288 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.76, max=10.58, mean=-0.1976, std=3.014, absmax=12.76 +2025-10-31 17:46:58,780 ERROR: Encountered non-finite generator loss at iter 10087; skipping update. +2025-10-31 17:46:58,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,785 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,786 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:58,787 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:58,788 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:58,789 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:58,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.2, mean=-0.2675, std=2.967, absmax=14.2 +2025-10-31 17:46:58,791 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.891, max=9.453, mean=-0.2564, std=2.535, absmax=9.891 +2025-10-31 17:46:59,283 ERROR: Encountered non-finite generator loss at iter 10088; skipping update. +2025-10-31 17:46:59,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,286 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,287 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:59,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:59,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=14.5, mean=-0.2281, std=2.638, absmax=14.5 +2025-10-31 17:46:59,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.988, max=12.93, mean=-0.2105, std=2.265, absmax=12.93 +2025-10-31 17:46:59,785 ERROR: Encountered non-finite generator loss at iter 10089; skipping update. +2025-10-31 17:46:59,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:46:59,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:46:59,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:46:59,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:46:59,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.38, max=13.45, mean=-0.01585, std=3.491, absmax=16.38 +2025-10-31 17:46:59,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=10.06, mean=-0.008842, std=3.094, absmax=10.64 +2025-10-31 17:47:00,286 ERROR: Encountered non-finite generator loss at iter 10090; skipping update. +2025-10-31 17:47:00,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,289 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,289 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,290 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,291 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,292 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,293 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:00,294 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:00,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.68, mean=0.1124, std=3.384, absmax=15.68 +2025-10-31 17:47:00,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.767, max=13.14, mean=0.06272, std=2.843, absmax=13.14 +2025-10-31 17:47:00,788 ERROR: Encountered non-finite generator loss at iter 10091; skipping update. +2025-10-31 17:47:00,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,791 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,792 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,792 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:00,793 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:00,794 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:00,795 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:00,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=13.25, mean=-0.1026, std=3.198, absmax=15.09 +2025-10-31 17:47:00,797 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=10.13, mean=-0.1659, std=2.548, absmax=11.15 +2025-10-31 17:47:01,289 ERROR: Encountered non-finite generator loss at iter 10092; skipping update. +2025-10-31 17:47:01,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,292 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,292 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,293 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,293 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,294 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,295 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:01,296 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:01,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=13.49, mean=-0.07326, std=3.101, absmax=13.49 +2025-10-31 17:47:01,298 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.325, max=11.56, mean=-0.09225, std=2.677, absmax=11.56 +2025-10-31 17:47:01,790 ERROR: Encountered non-finite generator loss at iter 10093; skipping update. +2025-10-31 17:47:01,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,793 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,794 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,795 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,796 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:01,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:01,798 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:01,799 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:01,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.84, mean=-0.4123, std=3.171, absmax=13.07 +2025-10-31 17:47:01,801 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=8.204, mean=-0.3455, std=2.703, absmax=10.42 +2025-10-31 17:47:02,294 ERROR: Encountered non-finite generator loss at iter 10094; skipping update. +2025-10-31 17:47:02,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,296 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,297 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:02,300 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:02,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.73, mean=-0.1402, std=3.2, absmax=12.2 +2025-10-31 17:47:02,302 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=9.334, mean=-0.153, std=2.656, absmax=10.67 +2025-10-31 17:47:02,795 ERROR: Encountered non-finite generator loss at iter 10095; skipping update. +2025-10-31 17:47:02,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,797 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,799 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,800 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:02,801 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:02,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:02,802 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:02,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.23, mean=-0.2692, std=2.855, absmax=11.8 +2025-10-31 17:47:02,804 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=8.693, mean=-0.2626, std=2.549, absmax=10.08 +2025-10-31 17:47:03,296 ERROR: Encountered non-finite generator loss at iter 10096; skipping update. +2025-10-31 17:47:03,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,299 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,300 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,302 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,303 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,303 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,304 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:03,305 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:03,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.88, mean=-0.156, std=3.161, absmax=12.88 +2025-10-31 17:47:03,307 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.535, max=9.893, mean=-0.1811, std=2.599, absmax=9.893 +2025-10-31 17:47:03,799 ERROR: Encountered non-finite generator loss at iter 10097; skipping update. +2025-10-31 17:47:03,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,802 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,803 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,804 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,805 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:03,806 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:03,807 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:03,807 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:03,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.15, mean=-0.3337, std=2.926, absmax=13.56 +2025-10-31 17:47:03,809 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.84, max=10.41, mean=-0.3023, std=2.378, absmax=10.41 +2025-10-31 17:47:04,301 ERROR: Encountered non-finite generator loss at iter 10098; skipping update. +2025-10-31 17:47:04,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:04,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:04,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.77, mean=-0.2371, std=3.506, absmax=13.91 +2025-10-31 17:47:04,312 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.61, max=10.59, mean=-0.2488, std=2.789, absmax=12.61 +2025-10-31 17:47:04,803 ERROR: Encountered non-finite generator loss at iter 10099; skipping update. +2025-10-31 17:47:04,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,806 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,807 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,808 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:04,810 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:04,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:04,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:04,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.81, mean=-0.1896, std=3.176, absmax=14.81 +2025-10-31 17:47:04,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.93, max=11.85, mean=-0.1682, std=2.607, absmax=11.93 +2025-10-31 17:47:05,307 ERROR: Encountered non-finite generator loss at iter 10100; skipping update. +2025-10-31 17:47:05,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,309 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,310 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:05,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:05,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.32, mean=-0.2972, std=2.89, absmax=12.32 +2025-10-31 17:47:05,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.85, max=11.17, mean=-0.2279, std=2.528, absmax=11.17 +2025-10-31 17:47:05,319 INFO: [29..][epoch: 0, step: 10,100, lr:(1.500e-04,)] [eta: 1 day, 16:48:03, time (data): 0.503 (0.000)] +2025-10-31 17:47:05,811 ERROR: Encountered non-finite generator loss at iter 10101; skipping update. +2025-10-31 17:47:05,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,814 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,815 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,816 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:05,817 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:05,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:05,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:05,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.04, mean=-0.3004, std=2.693, absmax=12.04 +2025-10-31 17:47:05,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.33, mean=-0.3096, std=2.492, absmax=11.26 +2025-10-31 17:47:06,320 ERROR: Encountered non-finite generator loss at iter 10102; skipping update. +2025-10-31 17:47:06,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,323 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,323 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,324 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,325 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,326 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,327 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:06,328 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:06,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.13, mean=-0.107, std=3.062, absmax=12.29 +2025-10-31 17:47:06,330 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.32, max=9.852, mean=-0.1632, std=2.513, absmax=11.32 +2025-10-31 17:47:06,826 ERROR: Encountered non-finite generator loss at iter 10103; skipping update. +2025-10-31 17:47:06,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,829 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,830 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,831 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,832 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:06,833 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:06,834 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:06,835 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:06,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.09, mean=-0.281, std=2.91, absmax=13.28 +2025-10-31 17:47:06,837 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.6, max=8.728, mean=-0.2661, std=2.466, absmax=11.6 +2025-10-31 17:47:07,338 ERROR: Encountered non-finite generator loss at iter 10104; skipping update. +2025-10-31 17:47:07,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,341 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,342 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,342 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,343 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,344 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,345 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:07,346 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:07,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=9.88, mean=-0.3022, std=2.55, absmax=11.97 +2025-10-31 17:47:07,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=7.55, mean=-0.2653, std=2.249, absmax=11.64 +2025-10-31 17:47:07,842 ERROR: Encountered non-finite generator loss at iter 10105; skipping update. +2025-10-31 17:47:07,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,844 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,851 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,852 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,853 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:07,854 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:07,856 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:07,857 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:07,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.34, mean=-0.04569, std=2.933, absmax=13.34 +2025-10-31 17:47:07,859 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.646, max=10.71, mean=-0.01657, std=2.418, absmax=10.71 +2025-10-31 17:47:08,370 ERROR: Encountered non-finite generator loss at iter 10106; skipping update. +2025-10-31 17:47:08,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,372 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,373 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,374 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,374 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,375 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,376 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:08,377 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:08,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=14.04, mean=-0.01374, std=3.275, absmax=14.04 +2025-10-31 17:47:08,379 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=9.256, mean=-0.06512, std=2.605, absmax=10.31 +2025-10-31 17:47:08,876 ERROR: Encountered non-finite generator loss at iter 10107; skipping update. +2025-10-31 17:47:08,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,877 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,879 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,880 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,881 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:08,882 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:08,883 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:08,885 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:08,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.1, mean=-0.2797, std=2.858, absmax=12.1 +2025-10-31 17:47:08,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.661, max=9.993, mean=-0.2699, std=2.383, absmax=9.993 +2025-10-31 17:47:09,383 ERROR: Encountered non-finite generator loss at iter 10108; skipping update. +2025-10-31 17:47:09,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,387 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,389 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,390 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:09,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:09,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=10.23, mean=-0.2846, std=2.942, absmax=12.66 +2025-10-31 17:47:09,395 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.84, max=8.52, mean=-0.2835, std=2.62, absmax=12.84 +2025-10-31 17:47:09,890 ERROR: Encountered non-finite generator loss at iter 10109; skipping update. +2025-10-31 17:47:09,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,891 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,891 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,893 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,894 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:09,895 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:09,896 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:09,898 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:09,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=13.96, mean=-0.1014, std=3.51, absmax=14.84 +2025-10-31 17:47:09,900 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.07, max=10.67, mean=-0.1461, std=2.736, absmax=12.07 +2025-10-31 17:47:10,394 ERROR: Encountered non-finite generator loss at iter 10110; skipping update. +2025-10-31 17:47:10,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,397 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,397 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,399 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,399 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:10,402 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:10,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=12.17, mean=-0.1901, std=2.539, absmax=12.17 +2025-10-31 17:47:10,405 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.921, max=8.284, mean=-0.1856, std=2.194, absmax=9.921 +2025-10-31 17:47:10,899 ERROR: Encountered non-finite generator loss at iter 10111; skipping update. +2025-10-31 17:47:10,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,901 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,902 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:10,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:10,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:10,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:10,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.35, mean=-0.1908, std=2.536, absmax=12.72 +2025-10-31 17:47:10,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.7, max=8.308, mean=-0.218, std=2.203, absmax=10.7 +2025-10-31 17:47:11,403 ERROR: Encountered non-finite generator loss at iter 10112; skipping update. +2025-10-31 17:47:11,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,405 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,407 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,408 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,409 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,410 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,411 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:11,411 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:11,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.66, mean=-0.3065, std=3.091, absmax=13.25 +2025-10-31 17:47:11,414 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.822, mean=-0.3082, std=2.535, absmax=10.33 +2025-10-31 17:47:11,906 ERROR: Encountered non-finite generator loss at iter 10113; skipping update. +2025-10-31 17:47:11,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,909 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,910 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,911 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,913 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:11,914 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:11,915 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:11,916 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:11,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.2, mean=-0.2064, std=2.915, absmax=13.69 +2025-10-31 17:47:11,918 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=9.09, mean=-0.1905, std=2.378, absmax=9.7 +2025-10-31 17:47:12,411 ERROR: Encountered non-finite generator loss at iter 10114; skipping update. +2025-10-31 17:47:12,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,414 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,415 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,416 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,417 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,418 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,419 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:12,420 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:12,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.2, max=14.14, mean=-0.2422, std=2.922, absmax=16.2 +2025-10-31 17:47:12,422 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.971, max=9.207, mean=-0.2125, std=2.33, absmax=9.971 +2025-10-31 17:47:12,915 ERROR: Encountered non-finite generator loss at iter 10115; skipping update. +2025-10-31 17:47:12,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,918 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,918 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,919 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:12,920 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:12,920 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:12,921 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:12,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=13.38, mean=-0.2017, std=2.509, absmax=13.38 +2025-10-31 17:47:12,924 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.403, max=8.088, mean=-0.1826, std=1.918, absmax=8.403 +2025-10-31 17:47:13,417 ERROR: Encountered non-finite generator loss at iter 10116; skipping update. +2025-10-31 17:47:13,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,420 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,421 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,422 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,423 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,424 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,425 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:13,426 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:13,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=14.46, mean=0.1413, std=3.619, absmax=15.56 +2025-10-31 17:47:13,428 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=12.8, mean=0.08545, std=3.078, absmax=13.39 +2025-10-31 17:47:13,920 ERROR: Encountered non-finite generator loss at iter 10117; skipping update. +2025-10-31 17:47:13,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,923 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,924 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,925 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,926 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:13,927 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:13,928 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:13,929 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:13,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=16.58, mean=-0.2421, std=2.785, absmax=16.58 +2025-10-31 17:47:13,931 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=11.16, mean=-0.2138, std=2.258, absmax=11.16 +2025-10-31 17:47:14,424 ERROR: Encountered non-finite generator loss at iter 10118; skipping update. +2025-10-31 17:47:14,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,427 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,428 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,429 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,430 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,431 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,432 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:14,433 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:14,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=10.08, mean=-0.2382, std=2.598, absmax=12.94 +2025-10-31 17:47:14,435 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.58, max=9.498, mean=-0.163, std=2.325, absmax=10.58 +2025-10-31 17:47:14,927 ERROR: Encountered non-finite generator loss at iter 10119; skipping update. +2025-10-31 17:47:14,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,930 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,930 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,932 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,933 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:14,934 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:14,935 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:14,936 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:14,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=11.77, mean=-0.14, std=2.947, absmax=11.77 +2025-10-31 17:47:14,937 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.014, mean=-0.1884, std=2.59, absmax=11.34 +2025-10-31 17:47:15,431 ERROR: Encountered non-finite generator loss at iter 10120; skipping update. +2025-10-31 17:47:15,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,433 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,433 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,434 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:15,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:15,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.84, mean=-0.1356, std=2.845, absmax=11.96 +2025-10-31 17:47:15,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.69, max=9.555, mean=-0.1076, std=2.484, absmax=9.69 +2025-10-31 17:47:15,931 ERROR: Encountered non-finite generator loss at iter 10121; skipping update. +2025-10-31 17:47:15,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,934 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,934 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,935 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,936 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:15,937 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:15,938 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:15,939 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:15,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=16.22, mean=0.1395, std=3.17, absmax=16.22 +2025-10-31 17:47:15,941 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.566, max=11.73, mean=0.1176, std=2.576, absmax=11.73 +2025-10-31 17:47:16,434 ERROR: Encountered non-finite generator loss at iter 10122; skipping update. +2025-10-31 17:47:16,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,438 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,439 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,440 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,441 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,442 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:16,442 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:16,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=10.66, mean=-0.1251, std=2.615, absmax=12.27 +2025-10-31 17:47:16,444 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=8.492, mean=-0.07393, std=2.276, absmax=9.549 +2025-10-31 17:47:16,936 ERROR: Encountered non-finite generator loss at iter 10123; skipping update. +2025-10-31 17:47:16,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,939 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,940 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,941 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:16,942 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:16,943 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:16,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:16,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.99, mean=0.008639, std=3.248, absmax=13.04 +2025-10-31 17:47:16,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=11.28, mean=0.02805, std=2.777, absmax=11.28 +2025-10-31 17:47:17,439 ERROR: Encountered non-finite generator loss at iter 10124; skipping update. +2025-10-31 17:47:17,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,445 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:17,446 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:17,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.99, mean=-0.1828, std=2.788, absmax=13.99 +2025-10-31 17:47:17,448 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.549, max=10.77, mean=-0.1689, std=2.447, absmax=10.77 +2025-10-31 17:47:17,941 ERROR: Encountered non-finite generator loss at iter 10125; skipping update. +2025-10-31 17:47:17,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,944 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:17,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:17,947 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:17,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:17,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.63, mean=-0.08645, std=2.956, absmax=13.63 +2025-10-31 17:47:17,950 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.211, max=10.33, mean=-0.1033, std=2.411, absmax=10.33 +2025-10-31 17:47:18,442 ERROR: Encountered non-finite generator loss at iter 10126; skipping update. +2025-10-31 17:47:18,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,446 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,447 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,448 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:18,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:18,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.61, mean=0.1047, std=3.385, absmax=14.22 +2025-10-31 17:47:18,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.696, max=11.13, mean=0.04968, std=2.749, absmax=11.13 +2025-10-31 17:47:18,945 ERROR: Encountered non-finite generator loss at iter 10127; skipping update. +2025-10-31 17:47:18,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:18,949 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:18,950 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:18,951 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:18,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.69, mean=0.09138, std=3.618, absmax=15.69 +2025-10-31 17:47:18,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=12.19, mean=0.03272, std=2.918, absmax=12.19 +2025-10-31 17:47:19,446 ERROR: Encountered non-finite generator loss at iter 10128; skipping update. +2025-10-31 17:47:19,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:19,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:19,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.15, mean=-0.13, std=2.795, absmax=14.15 +2025-10-31 17:47:19,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.65, max=9.698, mean=-0.131, std=2.331, absmax=9.698 +2025-10-31 17:47:19,949 ERROR: Encountered non-finite generator loss at iter 10129; skipping update. +2025-10-31 17:47:19,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,951 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,952 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,952 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,953 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:19,954 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:19,955 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:19,956 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:19,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.41, mean=-0.1707, std=2.491, absmax=11.93 +2025-10-31 17:47:19,958 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.209, max=7.648, mean=-0.2066, std=2.043, absmax=9.209 +2025-10-31 17:47:20,451 ERROR: Encountered non-finite generator loss at iter 10130; skipping update. +2025-10-31 17:47:20,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,454 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,457 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:20,457 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:20,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.15, mean=-0.1855, std=2.886, absmax=13 +2025-10-31 17:47:20,459 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.67, max=9.519, mean=-0.1796, std=2.495, absmax=11.67 +2025-10-31 17:47:20,952 ERROR: Encountered non-finite generator loss at iter 10131; skipping update. +2025-10-31 17:47:20,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,955 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,956 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,957 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:20,958 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:20,959 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:20,960 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:20,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=11.8, mean=-0.1581, std=2.586, absmax=11.8 +2025-10-31 17:47:20,962 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.452, max=10.25, mean=-0.1253, std=2.174, absmax=10.25 +2025-10-31 17:47:21,477 ERROR: Encountered non-finite generator loss at iter 10132; skipping update. +2025-10-31 17:47:21,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,480 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,485 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:21,486 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:21,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.41, mean=-0.03209, std=2.988, absmax=13.41 +2025-10-31 17:47:21,488 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.641, max=9.554, mean=0.01621, std=2.521, absmax=9.641 +2025-10-31 17:47:21,985 ERROR: Encountered non-finite generator loss at iter 10133; skipping update. +2025-10-31 17:47:21,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,988 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:21,991 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:21,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:21,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:21,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=11.82, mean=-0.1795, std=2.755, absmax=11.83 +2025-10-31 17:47:21,995 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.798, max=7.628, mean=-0.1584, std=2.212, absmax=9.798 +2025-10-31 17:47:22,488 ERROR: Encountered non-finite generator loss at iter 10134; skipping update. +2025-10-31 17:47:22,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,490 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,490 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,491 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:22,492 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:22,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.44, mean=-0.08444, std=2.985, absmax=14.44 +2025-10-31 17:47:22,494 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.777, max=11.44, mean=-0.07042, std=2.498, absmax=11.44 +2025-10-31 17:47:22,989 ERROR: Encountered non-finite generator loss at iter 10135; skipping update. +2025-10-31 17:47:22,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,995 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:22,996 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:22,997 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:22,998 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:22,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.17, mean=-0.2045, std=2.393, absmax=12.23 +2025-10-31 17:47:23,000 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.182, mean=-0.1977, std=1.95, absmax=10.65 +2025-10-31 17:47:23,495 ERROR: Encountered non-finite generator loss at iter 10136; skipping update. +2025-10-31 17:47:23,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:23,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:23,498 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:23,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:23,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:23,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:23,502 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:23,503 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:23,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.31, mean=-0.2333, std=3.619, absmax=13.31 +2025-10-31 17:47:23,505 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=9.48, mean=-0.2587, std=2.989, absmax=10.6 +2025-10-31 17:47:24,003 ERROR: Encountered non-finite generator loss at iter 10137; skipping update. +2025-10-31 17:47:24,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,006 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,007 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,008 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,010 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,010 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,011 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:24,012 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:24,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=10.82, mean=-0.2112, std=2.648, absmax=14.77 +2025-10-31 17:47:24,014 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=8.479, mean=-0.2816, std=2.303, absmax=10.39 +2025-10-31 17:47:24,508 ERROR: Encountered non-finite generator loss at iter 10138; skipping update. +2025-10-31 17:47:24,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,511 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,512 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,514 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,514 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:24,515 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:24,516 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:24,517 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:24,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.57, mean=-0.193, std=3.276, absmax=13.35 +2025-10-31 17:47:24,519 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.63, max=11.19, mean=-0.1368, std=3.049, absmax=11.63 +2025-10-31 17:47:25,017 ERROR: Encountered non-finite generator loss at iter 10139; skipping update. +2025-10-31 17:47:25,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,020 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,020 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,021 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,022 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,023 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,024 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:25,025 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:25,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.3, mean=-0.2176, std=3.005, absmax=12.3 +2025-10-31 17:47:25,027 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=11.16, mean=-0.2012, std=2.646, absmax=11.16 +2025-10-31 17:47:25,528 ERROR: Encountered non-finite generator loss at iter 10140; skipping update. +2025-10-31 17:47:25,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,531 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,531 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,532 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:25,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:25,535 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:25,536 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:25,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.46, mean=-0.1915, std=3.544, absmax=14.46 +2025-10-31 17:47:25,539 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.573, max=11.67, mean=-0.1478, std=2.874, absmax=11.67 +2025-10-31 17:47:26,035 ERROR: Encountered non-finite generator loss at iter 10141; skipping update. +2025-10-31 17:47:26,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,038 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:26,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:26,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.85, mean=-0.1258, std=2.565, absmax=12.85 +2025-10-31 17:47:26,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.221, max=8.248, mean=-0.152, std=2.142, absmax=8.248 +2025-10-31 17:47:26,539 ERROR: Encountered non-finite generator loss at iter 10142; skipping update. +2025-10-31 17:47:26,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,541 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,541 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,542 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,543 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:26,544 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:26,545 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:26,546 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:26,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.95, mean=-0.1489, std=3.137, absmax=14.11 +2025-10-31 17:47:26,548 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.38, max=9.968, mean=-0.2138, std=2.63, absmax=12.38 +2025-10-31 17:47:27,042 ERROR: Encountered non-finite generator loss at iter 10143; skipping update. +2025-10-31 17:47:27,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,045 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,046 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,046 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,048 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,049 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:27,049 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:27,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.62, mean=-0.01237, std=3.144, absmax=12.62 +2025-10-31 17:47:27,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.551, max=9.93, mean=-0.03891, std=2.572, absmax=9.93 +2025-10-31 17:47:27,548 ERROR: Encountered non-finite generator loss at iter 10144; skipping update. +2025-10-31 17:47:27,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,550 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,551 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,552 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,553 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:27,554 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:27,555 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:27,556 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:27,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.93, mean=-0.1485, std=2.803, absmax=14.19 +2025-10-31 17:47:27,558 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.754, max=10.97, mean=-0.1335, std=2.249, absmax=10.97 +2025-10-31 17:47:28,052 ERROR: Encountered non-finite generator loss at iter 10145; skipping update. +2025-10-31 17:47:28,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,055 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,055 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,058 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:28,059 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:28,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.06, mean=-0.1805, std=3.204, absmax=12.29 +2025-10-31 17:47:28,061 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.12, max=9.251, mean=-0.172, std=2.661, absmax=11.12 +2025-10-31 17:47:28,554 ERROR: Encountered non-finite generator loss at iter 10146; skipping update. +2025-10-31 17:47:28,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,557 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,558 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,560 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:28,561 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:28,562 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:28,563 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:28,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.68, mean=-0.008823, std=3.273, absmax=13.68 +2025-10-31 17:47:28,565 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.101, max=12.34, mean=-0.004416, std=2.715, absmax=12.34 +2025-10-31 17:47:29,060 ERROR: Encountered non-finite generator loss at iter 10147; skipping update. +2025-10-31 17:47:29,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,062 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,062 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,063 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,063 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,064 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:29,065 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:29,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.76, mean=0.02576, std=3.244, absmax=13.76 +2025-10-31 17:47:29,067 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.677, max=11.36, mean=0.04958, std=2.711, absmax=11.36 +2025-10-31 17:47:29,560 ERROR: Encountered non-finite generator loss at iter 10148; skipping update. +2025-10-31 17:47:29,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,562 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,563 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,565 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,566 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:29,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:29,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:29,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:29,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.46, mean=-0.0443, std=2.754, absmax=13.46 +2025-10-31 17:47:29,569 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.025, max=12.28, mean=-0.01793, std=2.457, absmax=12.28 +2025-10-31 17:47:30,066 ERROR: Encountered non-finite generator loss at iter 10149; skipping update. +2025-10-31 17:47:30,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,068 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,069 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,070 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,071 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,072 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,073 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:30,074 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:30,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.71, mean=-0.143, std=2.951, absmax=13.71 +2025-10-31 17:47:30,076 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.882, max=9.608, mean=-0.1354, std=2.368, absmax=9.882 +2025-10-31 17:47:30,570 ERROR: Encountered non-finite generator loss at iter 10150; skipping update. +2025-10-31 17:47:30,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,573 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,573 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,574 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,574 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:30,575 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:30,576 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:30,577 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:30,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.73, mean=-0.3438, std=2.856, absmax=11.73 +2025-10-31 17:47:30,579 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.366, max=7.964, mean=-0.3399, std=2.46, absmax=9.366 +2025-10-31 17:47:31,074 ERROR: Encountered non-finite generator loss at iter 10151; skipping update. +2025-10-31 17:47:31,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,076 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,085 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,086 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,087 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:31,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:31,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.54, max=12.92, mean=-0.2164, std=2.567, absmax=12.92 +2025-10-31 17:47:31,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.89, max=7.733, mean=-0.2275, std=2.228, absmax=9.89 +2025-10-31 17:47:31,602 ERROR: Encountered non-finite generator loss at iter 10152; skipping update. +2025-10-31 17:47:31,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,605 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,606 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,607 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,608 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:31,609 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:31,610 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:31,610 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:31,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.66, max=13.26, mean=-0.2906, std=3.361, absmax=18.66 +2025-10-31 17:47:31,613 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.813, max=9.722, mean=-0.2132, std=2.652, absmax=9.813 +2025-10-31 17:47:32,121 ERROR: Encountered non-finite generator loss at iter 10153; skipping update. +2025-10-31 17:47:32,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,126 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,127 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,128 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,128 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:32,129 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:32,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.86, mean=-0.1505, std=3.338, absmax=13.86 +2025-10-31 17:47:32,131 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=12.44, mean=-0.1506, std=2.912, absmax=12.44 +2025-10-31 17:47:32,624 ERROR: Encountered non-finite generator loss at iter 10154; skipping update. +2025-10-31 17:47:32,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,627 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,627 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,628 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,629 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:32,630 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:32,631 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:32,632 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:32,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.47, mean=-0.05197, std=2.716, absmax=12.47 +2025-10-31 17:47:32,634 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.607, max=10.06, mean=-0.04202, std=2.44, absmax=10.06 +2025-10-31 17:47:33,127 ERROR: Encountered non-finite generator loss at iter 10155; skipping update. +2025-10-31 17:47:33,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,130 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,131 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,132 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,133 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,134 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:33,135 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:33,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.79, mean=-0.1884, std=2.916, absmax=13.79 +2025-10-31 17:47:33,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=8.691, mean=-0.2156, std=2.385, absmax=10.37 +2025-10-31 17:47:33,629 ERROR: Encountered non-finite generator loss at iter 10156; skipping update. +2025-10-31 17:47:33,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,632 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,632 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,633 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,634 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:33,635 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:33,636 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:33,637 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:33,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.44, max=14.97, mean=-0.001818, std=3.049, absmax=15.44 +2025-10-31 17:47:33,639 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=11.34, mean=-0.01328, std=2.566, absmax=11.97 +2025-10-31 17:47:34,134 ERROR: Encountered non-finite generator loss at iter 10157; skipping update. +2025-10-31 17:47:34,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,136 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,137 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,137 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,138 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,139 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,140 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:34,140 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:34,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.53, mean=-0.1101, std=3.326, absmax=14.88 +2025-10-31 17:47:34,142 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.26, max=12.18, mean=-0.08215, std=2.807, absmax=13.26 +2025-10-31 17:47:34,636 ERROR: Encountered non-finite generator loss at iter 10158; skipping update. +2025-10-31 17:47:34,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,640 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,641 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,642 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,643 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:34,644 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:34,644 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:34,645 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:34,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.13, mean=-0.2671, std=3.47, absmax=14.13 +2025-10-31 17:47:34,647 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.55, max=8.947, mean=-0.2215, std=2.945, absmax=11.55 +2025-10-31 17:47:35,145 ERROR: Encountered non-finite generator loss at iter 10159; skipping update. +2025-10-31 17:47:35,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,148 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,149 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,150 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,151 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,152 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,153 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:35,154 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:35,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=13.52, mean=-0.2183, std=2.963, absmax=13.52 +2025-10-31 17:47:35,156 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=11.03, mean=-0.2519, std=2.382, absmax=11.03 +2025-10-31 17:47:35,651 ERROR: Encountered non-finite generator loss at iter 10160; skipping update. +2025-10-31 17:47:35,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,654 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,654 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,654 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,655 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:35,656 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:35,657 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:35,658 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:35,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.66, mean=-0.1993, std=2.398, absmax=13.66 +2025-10-31 17:47:35,660 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.103, max=8.657, mean=-0.2761, std=2.015, absmax=9.103 +2025-10-31 17:47:36,154 ERROR: Encountered non-finite generator loss at iter 10161; skipping update. +2025-10-31 17:47:36,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,156 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,157 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,157 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,158 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,159 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,160 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:36,161 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:36,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.43, mean=-0.08402, std=2.883, absmax=12.85 +2025-10-31 17:47:36,163 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.761, max=10.35, mean=-0.06786, std=2.293, absmax=10.35 +2025-10-31 17:47:36,658 ERROR: Encountered non-finite generator loss at iter 10162; skipping update. +2025-10-31 17:47:36,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,660 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,662 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,663 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,664 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:36,665 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:36,666 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:36,667 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:36,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.33, mean=-0.217, std=2.7, absmax=11.35 +2025-10-31 17:47:36,669 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.13, max=9.973, mean=-0.2337, std=2.277, absmax=10.13 +2025-10-31 17:47:37,163 ERROR: Encountered non-finite generator loss at iter 10163; skipping update. +2025-10-31 17:47:37,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,166 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,166 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,167 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,168 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,169 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,170 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:37,171 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:37,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=18.07, mean=-0.03108, std=3.441, absmax=18.07 +2025-10-31 17:47:37,173 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.89, max=12.72, mean=-0.05514, std=2.844, absmax=12.72 +2025-10-31 17:47:37,669 ERROR: Encountered non-finite generator loss at iter 10164; skipping update. +2025-10-31 17:47:37,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,672 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,672 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,672 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,674 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:37,675 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:37,676 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:37,677 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:37,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=16.24, mean=-0.08796, std=3.185, absmax=16.24 +2025-10-31 17:47:37,679 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=13.54, mean=-0.1042, std=2.579, absmax=13.54 +2025-10-31 17:47:38,174 ERROR: Encountered non-finite generator loss at iter 10165; skipping update. +2025-10-31 17:47:38,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,177 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,178 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,179 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,181 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:38,182 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:38,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.04, mean=-0.08018, std=2.769, absmax=14.12 +2025-10-31 17:47:38,184 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=8.811, mean=-0.1344, std=2.201, absmax=9.51 +2025-10-31 17:47:38,681 ERROR: Encountered non-finite generator loss at iter 10166; skipping update. +2025-10-31 17:47:38,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,683 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,684 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,685 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,686 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:38,687 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:38,688 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:38,689 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:38,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=14.61, mean=0.06543, std=3.558, absmax=14.61 +2025-10-31 17:47:38,691 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.213, max=13.97, mean=0.06707, std=3.142, absmax=13.97 +2025-10-31 17:47:39,185 ERROR: Encountered non-finite generator loss at iter 10167; skipping update. +2025-10-31 17:47:39,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,187 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,188 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,189 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,190 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,191 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,191 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:39,192 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:39,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.96, mean=-0.2258, std=3.363, absmax=12.53 +2025-10-31 17:47:39,194 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=8.588, mean=-0.2182, std=2.589, absmax=10.33 +2025-10-31 17:47:39,690 ERROR: Encountered non-finite generator loss at iter 10168; skipping update. +2025-10-31 17:47:39,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,692 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,693 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,693 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,694 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:39,695 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:39,696 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:39,697 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:39,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.53, mean=-0.05246, std=3.211, absmax=12.55 +2025-10-31 17:47:39,699 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.26, max=10.53, mean=-0.1122, std=2.753, absmax=11.26 +2025-10-31 17:47:40,193 ERROR: Encountered non-finite generator loss at iter 10169; skipping update. +2025-10-31 17:47:40,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,198 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:40,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:40,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.13, mean=-0.1095, std=3.299, absmax=14.09 +2025-10-31 17:47:40,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.27, mean=-0.1366, std=2.806, absmax=11.74 +2025-10-31 17:47:40,699 ERROR: Encountered non-finite generator loss at iter 10170; skipping update. +2025-10-31 17:47:40,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,701 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,704 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:40,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:40,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:40,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:40,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=12.27, mean=-0.1347, std=2.976, absmax=14.27 +2025-10-31 17:47:40,708 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=11.05, mean=-0.2039, std=2.558, absmax=11.53 +2025-10-31 17:47:41,203 ERROR: Encountered non-finite generator loss at iter 10171; skipping update. +2025-10-31 17:47:41,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,206 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,207 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,207 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,208 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,209 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,211 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:41,212 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:41,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=9.782, mean=-0.2592, std=2.663, absmax=12.09 +2025-10-31 17:47:41,213 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.42, max=7.627, mean=-0.2572, std=2.362, absmax=10.42 +2025-10-31 17:47:41,709 ERROR: Encountered non-finite generator loss at iter 10172; skipping update. +2025-10-31 17:47:41,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,712 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,712 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,713 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,714 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:41,715 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:41,716 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:41,717 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:41,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=9.96, mean=-0.2557, std=2.504, absmax=12.82 +2025-10-31 17:47:41,719 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.741, max=8.285, mean=-0.2762, std=2.153, absmax=8.741 +2025-10-31 17:47:42,216 ERROR: Encountered non-finite generator loss at iter 10173; skipping update. +2025-10-31 17:47:42,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,219 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,220 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,221 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:42,222 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:42,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=10.81, mean=-0.06305, std=3.046, absmax=14.1 +2025-10-31 17:47:42,224 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.2, max=8.839, mean=-0.1131, std=2.514, absmax=11.2 +2025-10-31 17:47:42,719 ERROR: Encountered non-finite generator loss at iter 10174; skipping update. +2025-10-31 17:47:42,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,723 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,724 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,725 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:42,726 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:42,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:42,728 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:42,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.18, mean=-0.2519, std=2.976, absmax=13.18 +2025-10-31 17:47:42,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.932, max=10.59, mean=-0.1672, std=2.538, absmax=10.59 +2025-10-31 17:47:43,226 ERROR: Encountered non-finite generator loss at iter 10175; skipping update. +2025-10-31 17:47:43,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,231 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,231 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:43,232 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:43,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.07, mean=-0.1173, std=3.088, absmax=14.07 +2025-10-31 17:47:43,239 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=9.351, mean=-0.1514, std=2.589, absmax=10.1 +2025-10-31 17:47:43,735 ERROR: Encountered non-finite generator loss at iter 10176; skipping update. +2025-10-31 17:47:43,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,737 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,738 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,739 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,740 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:43,741 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:43,742 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:43,743 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:43,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.73, mean=-0.07355, std=3.009, absmax=12.73 +2025-10-31 17:47:43,745 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.482, max=10.6, mean=-0.1005, std=2.603, absmax=10.6 +2025-10-31 17:47:44,241 ERROR: Encountered non-finite generator loss at iter 10177; skipping update. +2025-10-31 17:47:44,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,244 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,245 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,246 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,247 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,248 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:44,249 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:44,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=12.95, mean=-0.1135, std=2.743, absmax=14.56 +2025-10-31 17:47:44,258 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.36, max=8.85, mean=-0.1544, std=2.333, absmax=11.36 +2025-10-31 17:47:44,754 ERROR: Encountered non-finite generator loss at iter 10178; skipping update. +2025-10-31 17:47:44,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,756 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,757 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:44,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:44,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:44,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:44,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.88, mean=0.2506, std=3.742, absmax=14.88 +2025-10-31 17:47:44,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=11.7, mean=0.2356, std=3.093, absmax=11.7 +2025-10-31 17:47:45,261 ERROR: Encountered non-finite generator loss at iter 10179; skipping update. +2025-10-31 17:47:45,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,263 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,264 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,264 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,265 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,266 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,267 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:45,267 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:45,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.79, mean=-0.06917, std=2.66, absmax=13.24 +2025-10-31 17:47:45,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.223, max=9.491, mean=-0.06666, std=2.233, absmax=9.491 +2025-10-31 17:47:45,765 ERROR: Encountered non-finite generator loss at iter 10180; skipping update. +2025-10-31 17:47:45,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,768 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,768 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,768 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,769 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:45,770 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:45,771 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:45,772 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:45,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.52, mean=0.01925, std=3.164, absmax=13.52 +2025-10-31 17:47:45,774 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.26, max=10.97, mean=-0.03231, std=2.539, absmax=10.97 +2025-10-31 17:47:46,271 ERROR: Encountered non-finite generator loss at iter 10181; skipping update. +2025-10-31 17:47:46,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,273 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,274 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,275 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,275 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,277 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,278 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:46,279 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:46,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.09, mean=-0.164, std=2.624, absmax=11.64 +2025-10-31 17:47:46,281 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=9.103, mean=-0.178, std=2.279, absmax=10.29 +2025-10-31 17:47:46,777 ERROR: Encountered non-finite generator loss at iter 10182; skipping update. +2025-10-31 17:47:46,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,779 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,780 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,781 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,782 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:46,783 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:46,784 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:46,785 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:46,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=16.08, mean=0.0008803, std=3.331, absmax=16.08 +2025-10-31 17:47:46,787 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.867, max=11.62, mean=0.004005, std=2.86, absmax=11.62 +2025-10-31 17:47:47,284 ERROR: Encountered non-finite generator loss at iter 10183; skipping update. +2025-10-31 17:47:47,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,289 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,290 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,291 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,292 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:47,293 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:47,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=15.79, mean=-0.1962, std=3.458, absmax=15.79 +2025-10-31 17:47:47,296 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.83, mean=-0.1714, std=2.713, absmax=11.83 +2025-10-31 17:47:47,792 ERROR: Encountered non-finite generator loss at iter 10184; skipping update. +2025-10-31 17:47:47,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,795 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,795 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,796 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,797 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:47,798 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:47,799 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:47,800 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:47,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.37, mean=-0.1027, std=3.019, absmax=14.37 +2025-10-31 17:47:47,802 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.49, max=9.408, mean=-0.1111, std=2.514, absmax=11.49 +2025-10-31 17:47:48,299 ERROR: Encountered non-finite generator loss at iter 10185; skipping update. +2025-10-31 17:47:48,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,301 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,302 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,303 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,304 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,305 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,306 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:48,307 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:48,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.71, mean=-0.1311, std=3.118, absmax=12.71 +2025-10-31 17:47:48,309 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.67, max=8.79, mean=-0.159, std=2.618, absmax=10.67 +2025-10-31 17:47:48,805 ERROR: Encountered non-finite generator loss at iter 10186; skipping update. +2025-10-31 17:47:48,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,808 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,810 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,811 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:48,812 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:48,813 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:48,814 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:48,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.76, max=12.5, mean=-0.1168, std=3.049, absmax=16.76 +2025-10-31 17:47:48,816 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.72, max=9.793, mean=-0.1048, std=2.417, absmax=10.72 +2025-10-31 17:47:49,312 ERROR: Encountered non-finite generator loss at iter 10187; skipping update. +2025-10-31 17:47:49,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,314 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,315 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,316 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,316 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,318 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,318 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:49,319 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:49,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=14.72, mean=-0.2354, std=2.916, absmax=14.72 +2025-10-31 17:47:49,321 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.899, max=8.757, mean=-0.2545, std=2.392, absmax=9.899 +2025-10-31 17:47:49,817 ERROR: Encountered non-finite generator loss at iter 10188; skipping update. +2025-10-31 17:47:49,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,825 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,826 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:49,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:49,829 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:49,829 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:49,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=14.71, mean=0.1671, std=3.837, absmax=14.71 +2025-10-31 17:47:49,831 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.3, max=14.58, mean=0.1626, std=3.421, absmax=14.58 +2025-10-31 17:47:50,326 ERROR: Encountered non-finite generator loss at iter 10189; skipping update. +2025-10-31 17:47:50,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,329 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,329 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,332 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:50,333 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:50,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.89, mean=-0.03666, std=3.499, absmax=13.89 +2025-10-31 17:47:50,335 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.28, max=12, mean=-0.0494, std=2.9, absmax=12 +2025-10-31 17:47:50,832 ERROR: Encountered non-finite generator loss at iter 10190; skipping update. +2025-10-31 17:47:50,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,835 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,835 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,837 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,838 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:50,839 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:50,840 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:50,841 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:50,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.63, mean=-0.1891, std=2.36, absmax=13.63 +2025-10-31 17:47:50,843 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=8.657, mean=-0.1739, std=2.068, absmax=9.608 +2025-10-31 17:47:51,339 ERROR: Encountered non-finite generator loss at iter 10191; skipping update. +2025-10-31 17:47:51,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,342 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,343 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,343 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,344 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,345 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,346 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:51,347 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:51,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=10.72, mean=-0.2062, std=2.784, absmax=11.84 +2025-10-31 17:47:51,349 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=7.941, mean=-0.2185, std=2.298, absmax=10.4 +2025-10-31 17:47:51,845 ERROR: Encountered non-finite generator loss at iter 10192; skipping update. +2025-10-31 17:47:51,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,848 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,848 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,849 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,850 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:51,851 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:51,852 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:51,853 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:51,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.5, mean=-0.2541, std=3.178, absmax=15.5 +2025-10-31 17:47:51,855 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.94, max=9.028, mean=-0.2738, std=2.718, absmax=10.94 +2025-10-31 17:47:52,352 ERROR: Encountered non-finite generator loss at iter 10193; skipping update. +2025-10-31 17:47:52,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,354 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,355 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,356 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,357 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,358 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,359 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:52,360 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:52,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.38, mean=-0.07578, std=3.26, absmax=12.38 +2025-10-31 17:47:52,362 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.523, max=9.141, mean=-0.0874, std=2.689, absmax=9.523 +2025-10-31 17:47:52,859 ERROR: Encountered non-finite generator loss at iter 10194; skipping update. +2025-10-31 17:47:52,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,862 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,863 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,864 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,865 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:52,866 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:52,867 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:52,868 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:52,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.76, mean=-0.1214, std=2.604, absmax=13.76 +2025-10-31 17:47:52,869 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.669, max=8.731, mean=-0.1851, std=2.158, absmax=9.669 +2025-10-31 17:47:53,366 ERROR: Encountered non-finite generator loss at iter 10195; skipping update. +2025-10-31 17:47:53,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,369 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,371 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,372 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,373 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,374 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:53,375 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:53,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.81, mean=-0.2451, std=3.059, absmax=12.68 +2025-10-31 17:47:53,377 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.55, max=7.855, mean=-0.2373, std=2.512, absmax=10.55 +2025-10-31 17:47:53,873 ERROR: Encountered non-finite generator loss at iter 10196; skipping update. +2025-10-31 17:47:53,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,876 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,878 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,878 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,879 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:53,880 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:53,881 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:53,882 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:53,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.01, mean=-0.2895, std=2.769, absmax=13.22 +2025-10-31 17:47:53,884 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.99, max=10.45, mean=-0.2297, std=2.299, absmax=10.99 +2025-10-31 17:47:54,380 ERROR: Encountered non-finite generator loss at iter 10197; skipping update. +2025-10-31 17:47:54,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,383 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,383 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,384 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,385 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,386 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,387 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:54,388 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:54,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.87, mean=-0.03476, std=3.349, absmax=13.87 +2025-10-31 17:47:54,390 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.25, max=9.429, mean=-0.1217, std=2.813, absmax=10.25 +2025-10-31 17:47:54,885 ERROR: Encountered non-finite generator loss at iter 10198; skipping update. +2025-10-31 17:47:54,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,888 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,890 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,891 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:54,892 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:54,893 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:54,894 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:54,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.56, mean=-0.1847, std=2.91, absmax=14.56 +2025-10-31 17:47:54,896 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=12.87, mean=-0.1983, std=2.665, absmax=12.87 +2025-10-31 17:47:55,392 ERROR: Encountered non-finite generator loss at iter 10199; skipping update. +2025-10-31 17:47:55,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,395 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,396 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,397 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,398 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,399 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,400 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:55,401 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:55,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.11, mean=-0.04585, std=3.148, absmax=13.56 +2025-10-31 17:47:55,403 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.226, max=10.79, mean=-0.06946, std=2.586, absmax=10.79 +2025-10-31 17:47:55,900 ERROR: Encountered non-finite generator loss at iter 10200; skipping update. +2025-10-31 17:47:55,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,903 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,903 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,903 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,904 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:55,905 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:55,906 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:55,907 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:55,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=11.29, mean=-0.1447, std=2.488, absmax=11.29 +2025-10-31 17:47:55,909 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.165, max=8.426, mean=-0.1606, std=2.065, absmax=9.165 +2025-10-31 17:47:55,911 INFO: [29..][epoch: 0, step: 10,200, lr:(1.500e-04,)] [eta: 1 day, 16:42:52, time (data): 0.505 (0.000)] +2025-10-31 17:47:56,406 ERROR: Encountered non-finite generator loss at iter 10201; skipping update. +2025-10-31 17:47:56,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,409 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,409 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,410 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,411 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,412 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,413 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:56,414 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:56,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.11, mean=-0.3233, std=2.786, absmax=13.11 +2025-10-31 17:47:56,416 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.06, max=9.315, mean=-0.3354, std=2.352, absmax=11.06 +2025-10-31 17:47:56,912 ERROR: Encountered non-finite generator loss at iter 10202; skipping update. +2025-10-31 17:47:56,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,914 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,915 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,915 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,916 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:56,917 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:56,918 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:56,919 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:56,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.55, mean=-0.151, std=2.998, absmax=14.55 +2025-10-31 17:47:56,921 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.73, max=10.3, mean=-0.1826, std=2.434, absmax=11.73 +2025-10-31 17:47:57,418 ERROR: Encountered non-finite generator loss at iter 10203; skipping update. +2025-10-31 17:47:57,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,421 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,422 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,423 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,424 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,425 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,426 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:57,427 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:57,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.94, mean=-0.1682, std=3.334, absmax=12.94 +2025-10-31 17:47:57,429 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.44, max=9.413, mean=-0.1725, std=2.688, absmax=11.44 +2025-10-31 17:47:57,926 ERROR: Encountered non-finite generator loss at iter 10204; skipping update. +2025-10-31 17:47:57,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,928 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,929 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,930 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,931 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:57,932 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:57,933 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:57,934 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:57,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.4, mean=0.04528, std=3.002, absmax=14.8 +2025-10-31 17:47:57,936 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.91, max=10.39, mean=0.005695, std=2.488, absmax=12.91 +2025-10-31 17:47:58,432 ERROR: Encountered non-finite generator loss at iter 10205; skipping update. +2025-10-31 17:47:58,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,435 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,435 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,436 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,437 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,438 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,439 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:58,440 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:58,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.74, mean=-0.139, std=2.972, absmax=13.74 +2025-10-31 17:47:58,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.4, max=9.613, mean=-0.1404, std=2.437, absmax=11.4 +2025-10-31 17:47:58,939 ERROR: Encountered non-finite generator loss at iter 10206; skipping update. +2025-10-31 17:47:58,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,942 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,942 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,944 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,945 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:58,946 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:58,946 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:58,948 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:58,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.36, mean=-0.2333, std=2.835, absmax=13.76 +2025-10-31 17:47:58,949 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.07, max=9.236, mean=-0.2208, std=2.406, absmax=11.07 +2025-10-31 17:47:59,446 ERROR: Encountered non-finite generator loss at iter 10207; skipping update. +2025-10-31 17:47:59,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,448 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,448 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,449 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,450 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,451 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,452 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:59,453 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:59,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.58, mean=-0.2828, std=2.62, absmax=11.58 +2025-10-31 17:47:59,454 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.183, max=6.91, mean=-0.3333, std=2.176, absmax=9.183 +2025-10-31 17:47:59,952 ERROR: Encountered non-finite generator loss at iter 10208; skipping update. +2025-10-31 17:47:59,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,954 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,954 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,955 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,955 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:47:59,956 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:47:59,957 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:47:59,958 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:47:59,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.48, mean=-0.2951, std=3.209, absmax=13.01 +2025-10-31 17:47:59,960 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.95, max=8.937, mean=-0.31, std=2.594, absmax=10.95 +2025-10-31 17:48:00,454 ERROR: Encountered non-finite generator loss at iter 10209; skipping update. +2025-10-31 17:48:00,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,457 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,458 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,458 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,459 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,460 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,461 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:00,462 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:00,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.66, mean=-0.3618, std=2.712, absmax=12.86 +2025-10-31 17:48:00,464 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.7, max=7.81, mean=-0.3564, std=2.266, absmax=9.7 +2025-10-31 17:48:00,960 ERROR: Encountered non-finite generator loss at iter 10210; skipping update. +2025-10-31 17:48:00,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,963 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,964 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,965 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,966 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:00,967 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:00,968 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:00,969 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:00,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.69, mean=-0.2326, std=2.96, absmax=12.06 +2025-10-31 17:48:00,971 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.968, max=9.663, mean=-0.2362, std=2.524, absmax=9.968 +2025-10-31 17:48:01,467 ERROR: Encountered non-finite generator loss at iter 10211; skipping update. +2025-10-31 17:48:01,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,471 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,472 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,474 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:01,475 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:01,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=10.66, mean=-0.1255, std=2.567, absmax=11.88 +2025-10-31 17:48:01,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.326, max=8.319, mean=-0.08148, std=2.207, absmax=8.326 +2025-10-31 17:48:01,974 ERROR: Encountered non-finite generator loss at iter 10212; skipping update. +2025-10-31 17:48:01,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,976 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,977 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,977 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,978 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:01,980 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:01,981 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:01,982 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:01,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.82, mean=-0.1342, std=2.916, absmax=12.82 +2025-10-31 17:48:01,984 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10, max=10.97, mean=-0.1472, std=2.591, absmax=10.97 +2025-10-31 17:48:02,479 ERROR: Encountered non-finite generator loss at iter 10213; skipping update. +2025-10-31 17:48:02,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,482 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,482 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,483 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,484 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,485 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,486 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:02,487 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:02,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.58, mean=-0.3057, std=2.7, absmax=14.58 +2025-10-31 17:48:02,489 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.106, max=7.64, mean=-0.2763, std=2.234, absmax=9.106 +2025-10-31 17:48:02,984 ERROR: Encountered non-finite generator loss at iter 10214; skipping update. +2025-10-31 17:48:02,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,986 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,988 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,989 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:02,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:02,991 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:02,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:02,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=16.71, mean=0.0225, std=3.53, absmax=16.71 +2025-10-31 17:48:02,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.1, max=11.56, mean=-0.05228, std=2.927, absmax=12.1 +2025-10-31 17:48:03,488 ERROR: Encountered non-finite generator loss at iter 10215; skipping update. +2025-10-31 17:48:03,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:03,491 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:03,492 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:03,492 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:03,493 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:03,494 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:03,495 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:03,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:03,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=15.36, mean=-0.05207, std=3.721, absmax=15.36 +2025-10-31 17:48:03,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=14.54, mean=-0.02454, std=3.331, absmax=14.54 +2025-10-31 17:48:03,994 ERROR: Encountered non-finite generator loss at iter 10216; skipping update. +2025-10-31 17:48:03,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:03,997 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:03,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:03,998 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:03,999 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:04,000 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:04,001 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:04,002 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:04,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=12.46, mean=-0.1809, std=3.073, absmax=15.52 +2025-10-31 17:48:04,004 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.04, max=8.771, mean=-0.1857, std=2.449, absmax=12.04 +2025-10-31 17:48:04,500 ERROR: Encountered non-finite generator loss at iter 10217; skipping update. +2025-10-31 17:48:04,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:04,503 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:04,504 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:04,506 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:04,507 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:04,507 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:04,508 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:04,509 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:04,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.8, mean=-0.2098, std=2.939, absmax=15.8 +2025-10-31 17:48:04,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=10.65, mean=-0.1718, std=2.442, absmax=10.65 +2025-10-31 17:48:05,006 ERROR: Encountered non-finite generator loss at iter 10218; skipping update. +2025-10-31 17:48:05,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,009 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,010 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,010 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,012 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,013 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,013 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:05,014 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:05,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.82, mean=-0.05744, std=3.111, absmax=13.82 +2025-10-31 17:48:05,016 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=11.95, mean=-0.04783, std=2.644, absmax=11.97 +2025-10-31 17:48:05,515 ERROR: Encountered non-finite generator loss at iter 10219; skipping update. +2025-10-31 17:48:05,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,518 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,518 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,519 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,520 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:05,521 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:05,522 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:05,523 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:05,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.52, mean=0.004765, std=3.01, absmax=14.52 +2025-10-31 17:48:05,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.11, max=11.68, mean=-0.02527, std=2.381, absmax=11.68 +2025-10-31 17:48:06,019 ERROR: Encountered non-finite generator loss at iter 10220; skipping update. +2025-10-31 17:48:06,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,022 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,023 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,024 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,025 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,026 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:06,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:06,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.49, mean=-0.06604, std=3.496, absmax=13.81 +2025-10-31 17:48:06,030 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.21, max=9.465, mean=-0.117, std=2.989, absmax=11.21 +2025-10-31 17:48:06,527 ERROR: Encountered non-finite generator loss at iter 10221; skipping update. +2025-10-31 17:48:06,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,530 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,530 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,531 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:06,533 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:06,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:06,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:06,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.68, mean=-0.08947, std=2.891, absmax=13.68 +2025-10-31 17:48:06,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.32, max=8.734, mean=-0.1215, std=2.23, absmax=9.32 +2025-10-31 17:48:07,032 ERROR: Encountered non-finite generator loss at iter 10222; skipping update. +2025-10-31 17:48:07,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,035 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,036 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,037 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,038 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,039 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,040 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:07,041 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:07,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=12.81, mean=-0.1299, std=3.592, absmax=14.56 +2025-10-31 17:48:07,043 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=10.44, mean=-0.1063, std=2.99, absmax=10.88 +2025-10-31 17:48:07,540 ERROR: Encountered non-finite generator loss at iter 10223; skipping update. +2025-10-31 17:48:07,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,543 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,544 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,545 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,546 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:07,547 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:07,548 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:07,549 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:07,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.81, mean=-0.08017, std=3.374, absmax=12.99 +2025-10-31 17:48:07,551 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.33, mean=-0.02317, std=2.927, absmax=11.33 +2025-10-31 17:48:08,045 ERROR: Encountered non-finite generator loss at iter 10224; skipping update. +2025-10-31 17:48:08,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,048 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,048 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,049 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,050 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,051 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,052 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:08,053 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:08,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.98, mean=0.0468, std=3.366, absmax=12.98 +2025-10-31 17:48:08,055 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.18, max=11.06, mean=0.06891, std=2.935, absmax=11.18 +2025-10-31 17:48:08,552 ERROR: Encountered non-finite generator loss at iter 10225; skipping update. +2025-10-31 17:48:08,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,554 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,555 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,556 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,557 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:08,557 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:08,557 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:08,558 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:08,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=16.45, mean=0.05602, std=3.631, absmax=16.45 +2025-10-31 17:48:08,559 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=14.2, mean=0.0259, std=3.016, absmax=14.2 +2025-10-31 17:48:09,056 ERROR: Encountered non-finite generator loss at iter 10226; skipping update. +2025-10-31 17:48:09,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,058 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,059 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,060 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,061 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,062 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,063 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:09,064 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:09,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=9.235, mean=-0.3204, std=2.799, absmax=11.7 +2025-10-31 17:48:09,065 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.729, mean=-0.2974, std=2.346, absmax=10.14 +2025-10-31 17:48:09,561 ERROR: Encountered non-finite generator loss at iter 10227; skipping update. +2025-10-31 17:48:09,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,564 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,565 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,566 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:09,568 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:09,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:09,569 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:09,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.81, mean=-0.3441, std=3.347, absmax=14.81 +2025-10-31 17:48:09,572 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=9.221, mean=-0.3083, std=2.704, absmax=11.09 +2025-10-31 17:48:10,069 ERROR: Encountered non-finite generator loss at iter 10228; skipping update. +2025-10-31 17:48:10,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,072 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,073 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,074 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,075 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,076 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:10,077 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:10,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=15.35, mean=0.2072, std=3.864, absmax=15.35 +2025-10-31 17:48:10,079 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.21, max=14.39, mean=0.2206, std=3.464, absmax=14.39 +2025-10-31 17:48:10,575 ERROR: Encountered non-finite generator loss at iter 10229; skipping update. +2025-10-31 17:48:10,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,578 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,578 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,580 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,581 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:10,582 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:10,583 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:10,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:10,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.82, mean=-0.1744, std=2.606, absmax=11.82 +2025-10-31 17:48:10,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.172, max=9.355, mean=-0.1549, std=2.231, absmax=9.355 +2025-10-31 17:48:11,082 ERROR: Encountered non-finite generator loss at iter 10230; skipping update. +2025-10-31 17:48:11,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,085 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,085 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,086 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,087 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,088 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,088 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:11,089 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:11,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=14.25, mean=-0.04991, std=2.927, absmax=14.25 +2025-10-31 17:48:11,091 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.769, max=11.51, mean=-0.05897, std=2.424, absmax=11.51 +2025-10-31 17:48:11,588 ERROR: Encountered non-finite generator loss at iter 10231; skipping update. +2025-10-31 17:48:11,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,590 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,591 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,591 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,592 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:11,593 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:11,594 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:11,595 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:11,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.76, mean=-0.2156, std=2.685, absmax=12.94 +2025-10-31 17:48:11,597 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.53, max=8.149, mean=-0.2385, std=2.243, absmax=9.53 +2025-10-31 17:48:12,094 ERROR: Encountered non-finite generator loss at iter 10232; skipping update. +2025-10-31 17:48:12,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,097 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,097 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,097 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,098 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,100 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,101 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:12,102 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:12,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.38, mean=-0.1589, std=2.904, absmax=13.38 +2025-10-31 17:48:12,104 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.514, max=10.3, mean=-0.1533, std=2.537, absmax=10.3 +2025-10-31 17:48:12,601 ERROR: Encountered non-finite generator loss at iter 10233; skipping update. +2025-10-31 17:48:12,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,609 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,610 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:12,611 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:12,612 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:12,613 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:12,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=16.52, mean=-0.2914, std=3.028, absmax=16.52 +2025-10-31 17:48:12,614 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=9.699, mean=-0.2757, std=2.541, absmax=10.93 +2025-10-31 17:48:13,112 ERROR: Encountered non-finite generator loss at iter 10234; skipping update. +2025-10-31 17:48:13,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,114 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,115 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,117 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,117 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,118 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,119 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:13,120 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:13,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.13, mean=-0.09239, std=3.281, absmax=14.87 +2025-10-31 17:48:13,122 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.2, max=9.382, mean=-0.08854, std=2.682, absmax=10.2 +2025-10-31 17:48:13,618 ERROR: Encountered non-finite generator loss at iter 10235; skipping update. +2025-10-31 17:48:13,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,621 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,622 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,623 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,624 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:13,625 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:13,626 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:13,627 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:13,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=14.24, mean=-0.1267, std=2.697, absmax=14.57 +2025-10-31 17:48:13,630 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.545, max=10.57, mean=-0.06818, std=2.393, absmax=10.57 +2025-10-31 17:48:14,127 ERROR: Encountered non-finite generator loss at iter 10236; skipping update. +2025-10-31 17:48:14,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,129 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,129 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,130 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,131 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,132 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,133 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:14,134 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:14,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=13.75, mean=-0.1333, std=2.668, absmax=13.75 +2025-10-31 17:48:14,136 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.344, max=11.72, mean=-0.1223, std=2.43, absmax=11.72 +2025-10-31 17:48:14,633 ERROR: Encountered non-finite generator loss at iter 10237; skipping update. +2025-10-31 17:48:14,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,635 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,636 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,636 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,637 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:14,638 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:14,639 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:14,640 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:14,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=14.26, mean=-0.2211, std=2.632, absmax=14.26 +2025-10-31 17:48:14,642 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.476, max=8.018, mean=-0.2497, std=2.121, absmax=8.476 +2025-10-31 17:48:15,138 ERROR: Encountered non-finite generator loss at iter 10238; skipping update. +2025-10-31 17:48:15,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,140 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,141 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,142 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,143 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,143 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,145 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:15,146 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:15,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=19.59, mean=-0.1031, std=3.167, absmax=19.59 +2025-10-31 17:48:15,148 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.09, max=14.25, mean=-0.1133, std=2.59, absmax=14.25 +2025-10-31 17:48:15,645 ERROR: Encountered non-finite generator loss at iter 10239; skipping update. +2025-10-31 17:48:15,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,647 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,648 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,648 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,649 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:15,651 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:15,652 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:15,652 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:15,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=14.2, mean=-0.03939, std=3.025, absmax=14.2 +2025-10-31 17:48:15,654 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=11.94, mean=-0.03104, std=2.598, absmax=11.94 +2025-10-31 17:48:16,150 ERROR: Encountered non-finite generator loss at iter 10240; skipping update. +2025-10-31 17:48:16,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,152 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,152 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,153 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,154 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,155 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,156 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:16,157 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:16,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=11.79, mean=-0.158, std=4.617, absmax=16.23 +2025-10-31 17:48:16,159 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.1, max=10.81, mean=-0.1237, std=4.071, absmax=13.1 +2025-10-31 17:48:16,656 ERROR: Encountered non-finite generator loss at iter 10241; skipping update. +2025-10-31 17:48:16,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,658 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,659 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,660 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,661 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:16,662 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:16,663 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:16,664 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:16,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=9.423, mean=-0.2918, std=2.338, absmax=11.76 +2025-10-31 17:48:16,666 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.966, max=7.419, mean=-0.2419, std=2.086, absmax=8.966 +2025-10-31 17:48:17,161 ERROR: Encountered non-finite generator loss at iter 10242; skipping update. +2025-10-31 17:48:17,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,163 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,164 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,165 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,166 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,167 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,168 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:17,168 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:17,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=14.4, mean=0.08592, std=3.294, absmax=14.4 +2025-10-31 17:48:17,170 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.27, max=13.46, mean=0.04983, std=2.818, absmax=13.46 +2025-10-31 17:48:17,667 ERROR: Encountered non-finite generator loss at iter 10243; skipping update. +2025-10-31 17:48:17,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,669 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,670 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,671 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,672 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:17,673 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:17,673 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:17,673 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:17,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14, mean=-0.09042, std=3.197, absmax=14 +2025-10-31 17:48:17,675 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.74, max=10.05, mean=-0.09226, std=2.827, absmax=11.74 +2025-10-31 17:48:18,171 ERROR: Encountered non-finite generator loss at iter 10244; skipping update. +2025-10-31 17:48:18,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,173 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,174 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,176 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,176 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,178 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,179 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:18,179 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:18,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.16, mean=-0.101, std=3.143, absmax=13.16 +2025-10-31 17:48:18,181 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.4, max=11.66, mean=-0.09036, std=2.561, absmax=11.66 +2025-10-31 17:48:18,678 ERROR: Encountered non-finite generator loss at iter 10245; skipping update. +2025-10-31 17:48:18,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,681 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,682 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,683 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,684 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:18,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:18,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:18,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:18,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.85, mean=-0.2832, std=3.111, absmax=13.69 +2025-10-31 17:48:18,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=9.121, mean=-0.2787, std=2.712, absmax=12.14 +2025-10-31 17:48:19,184 ERROR: Encountered non-finite generator loss at iter 10246; skipping update. +2025-10-31 17:48:19,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,186 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,186 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,187 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,188 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,189 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:19,191 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:19,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.7, mean=-0.06767, std=3.248, absmax=13.55 +2025-10-31 17:48:19,193 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.99, max=9.543, mean=-0.1363, std=2.638, absmax=11.99 +2025-10-31 17:48:19,688 ERROR: Encountered non-finite generator loss at iter 10247; skipping update. +2025-10-31 17:48:19,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,690 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,691 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,692 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,693 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:19,694 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:19,695 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:19,696 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:19,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=12.23, mean=-0.2599, std=2.895, absmax=13.39 +2025-10-31 17:48:19,698 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.56, max=8.53, mean=-0.243, std=2.38, absmax=10.56 +2025-10-31 17:48:20,194 ERROR: Encountered non-finite generator loss at iter 10248; skipping update. +2025-10-31 17:48:20,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,196 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,196 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,197 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,197 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,198 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,199 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:20,200 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:20,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.2, mean=-0.01336, std=2.657, absmax=11.24 +2025-10-31 17:48:20,202 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.982, max=11.28, mean=0.01059, std=2.395, absmax=11.28 +2025-10-31 17:48:20,699 ERROR: Encountered non-finite generator loss at iter 10249; skipping update. +2025-10-31 17:48:20,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,702 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,702 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,703 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,703 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:20,704 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:20,705 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:20,706 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:20,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.49, mean=-0.02415, std=3.397, absmax=14.49 +2025-10-31 17:48:20,709 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.11, max=12.56, mean=-0.0509, std=2.841, absmax=12.56 +2025-10-31 17:48:21,205 ERROR: Encountered non-finite generator loss at iter 10250; skipping update. +2025-10-31 17:48:21,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,207 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,208 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,209 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,210 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,211 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,212 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:21,213 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:21,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=14.2, mean=-0.2235, std=3.186, absmax=15.11 +2025-10-31 17:48:21,215 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.64, max=11.14, mean=-0.2433, std=2.616, absmax=11.14 +2025-10-31 17:48:21,711 ERROR: Encountered non-finite generator loss at iter 10251; skipping update. +2025-10-31 17:48:21,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,713 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,714 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,715 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,715 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:21,716 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:21,717 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:21,718 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:21,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=13.66, mean=-0.001099, std=3.193, absmax=13.66 +2025-10-31 17:48:21,720 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.964, max=12.08, mean=0.04553, std=2.749, absmax=12.08 +2025-10-31 17:48:22,215 ERROR: Encountered non-finite generator loss at iter 10252; skipping update. +2025-10-31 17:48:22,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,218 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,218 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,219 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,220 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,221 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,222 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:22,223 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:22,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.76, mean=-0.1635, std=2.883, absmax=13.76 +2025-10-31 17:48:22,225 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.31, max=9.719, mean=-0.1813, std=2.414, absmax=12.31 +2025-10-31 17:48:22,720 ERROR: Encountered non-finite generator loss at iter 10253; skipping update. +2025-10-31 17:48:22,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,722 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:22,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:22,727 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:22,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:22,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.6, mean=-0.2852, std=3.251, absmax=13.6 +2025-10-31 17:48:22,730 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.98, max=10.47, mean=-0.2764, std=2.915, absmax=10.98 +2025-10-31 17:48:23,224 ERROR: Encountered non-finite generator loss at iter 10254; skipping update. +2025-10-31 17:48:23,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,226 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,227 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,227 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,227 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,228 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,229 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:23,230 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:23,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=10.79, mean=-0.1855, std=2.546, absmax=12.03 +2025-10-31 17:48:23,232 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.71, max=8.049, mean=-0.1555, std=2.353, absmax=10.71 +2025-10-31 17:48:23,727 ERROR: Encountered non-finite generator loss at iter 10255; skipping update. +2025-10-31 17:48:23,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,729 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,731 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,732 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,732 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:23,733 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:23,735 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:23,736 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:23,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.84, mean=-0.02925, std=3.367, absmax=13.84 +2025-10-31 17:48:23,738 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.998, max=10.96, mean=-0.07255, std=2.826, absmax=10.96 +2025-10-31 17:48:24,233 ERROR: Encountered non-finite generator loss at iter 10256; skipping update. +2025-10-31 17:48:24,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,237 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,238 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,239 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,240 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:24,241 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:24,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.62, max=16.54, mean=0.03403, std=3.447, absmax=16.62 +2025-10-31 17:48:24,243 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.97, max=13.53, mean=0.02603, std=2.989, absmax=13.53 +2025-10-31 17:48:24,737 ERROR: Encountered non-finite generator loss at iter 10257; skipping update. +2025-10-31 17:48:24,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,741 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:24,743 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:24,744 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:24,745 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:24,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=15.12, mean=0.1765, std=3.518, absmax=15.12 +2025-10-31 17:48:24,747 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=14.07, mean=0.1594, std=3.029, absmax=14.07 +2025-10-31 17:48:25,240 ERROR: Encountered non-finite generator loss at iter 10258; skipping update. +2025-10-31 17:48:25,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,243 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,243 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,243 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,243 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,245 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,246 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:25,247 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:25,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.13, mean=-0.2416, std=2.834, absmax=11.43 +2025-10-31 17:48:25,248 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=7.339, mean=-0.2475, std=2.37, absmax=10.14 +2025-10-31 17:48:25,741 ERROR: Encountered non-finite generator loss at iter 10259; skipping update. +2025-10-31 17:48:25,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,744 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,744 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,744 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,746 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:25,747 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:25,748 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:25,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:25,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.7, mean=0.01209, std=3.13, absmax=12.84 +2025-10-31 17:48:25,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.808, max=9.509, mean=-0.02033, std=2.568, absmax=9.808 +2025-10-31 17:48:26,243 ERROR: Encountered non-finite generator loss at iter 10260; skipping update. +2025-10-31 17:48:26,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,246 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:26,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:26,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.51, mean=-0.01475, std=3.272, absmax=12.51 +2025-10-31 17:48:26,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.88, max=9.699, mean=-0.06034, std=2.774, absmax=10.88 +2025-10-31 17:48:26,744 ERROR: Encountered non-finite generator loss at iter 10261; skipping update. +2025-10-31 17:48:26,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,746 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,747 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,747 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,747 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:26,748 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:26,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:26,750 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:26,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.37, mean=-0.1135, std=2.992, absmax=12.12 +2025-10-31 17:48:26,751 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.6, max=10.61, mean=-0.1041, std=2.46, absmax=10.61 +2025-10-31 17:48:27,243 ERROR: Encountered non-finite generator loss at iter 10262; skipping update. +2025-10-31 17:48:27,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,246 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:27,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:27,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.88, mean=0.01258, std=2.896, absmax=13.91 +2025-10-31 17:48:27,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.31, max=10.06, mean=-0.0503, std=2.438, absmax=10.31 +2025-10-31 17:48:27,745 ERROR: Encountered non-finite generator loss at iter 10263; skipping update. +2025-10-31 17:48:27,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,747 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,748 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,748 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,748 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:27,749 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:27,749 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:27,749 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:27,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.24, mean=-0.0514, std=3.081, absmax=13.24 +2025-10-31 17:48:27,750 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.48, max=9.857, mean=-0.08076, std=2.494, absmax=10.48 +2025-10-31 17:48:28,242 ERROR: Encountered non-finite generator loss at iter 10264; skipping update. +2025-10-31 17:48:28,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,245 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,246 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,248 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,248 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,249 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,250 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:28,251 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:28,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.46, mean=-0.113, std=2.854, absmax=11.6 +2025-10-31 17:48:28,253 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.629, mean=-0.08864, std=2.693, absmax=10.08 +2025-10-31 17:48:28,747 ERROR: Encountered non-finite generator loss at iter 10265; skipping update. +2025-10-31 17:48:28,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,750 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,750 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,751 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:28,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:28,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:28,754 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:28,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.81, mean=-0.2464, std=2.594, absmax=11.98 +2025-10-31 17:48:28,756 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.43, max=8.014, mean=-0.2479, std=2.153, absmax=10.43 +2025-10-31 17:48:29,251 ERROR: Encountered non-finite generator loss at iter 10266; skipping update. +2025-10-31 17:48:29,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,253 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,256 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,257 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,258 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:29,259 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:29,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.86, mean=-0.1464, std=2.634, absmax=12.63 +2025-10-31 17:48:29,261 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.595, max=8.314, mean=-0.1384, std=2.161, absmax=8.595 +2025-10-31 17:48:29,756 ERROR: Encountered non-finite generator loss at iter 10267; skipping update. +2025-10-31 17:48:29,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,759 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,760 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,761 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,762 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:29,763 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:29,764 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:29,765 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:29,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.2, mean=-0.2504, std=2.845, absmax=13.06 +2025-10-31 17:48:29,767 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=9.82, mean=-0.2203, std=2.465, absmax=10.97 +2025-10-31 17:48:30,264 ERROR: Encountered non-finite generator loss at iter 10268; skipping update. +2025-10-31 17:48:30,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,267 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,267 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,267 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,268 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,269 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,269 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:30,270 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:30,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.71, mean=-0.06203, std=2.701, absmax=12.71 +2025-10-31 17:48:30,272 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.86, max=9.023, mean=-0.08224, std=2.254, absmax=9.023 +2025-10-31 17:48:30,783 ERROR: Encountered non-finite generator loss at iter 10269; skipping update. +2025-10-31 17:48:30,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,788 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,789 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,790 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,791 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:30,792 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:30,793 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:30,794 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:30,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.05, mean=-0.03874, std=3.514, absmax=14.05 +2025-10-31 17:48:30,796 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=11.01, mean=-0.03244, std=2.967, absmax=11.01 +2025-10-31 17:48:31,291 ERROR: Encountered non-finite generator loss at iter 10270; skipping update. +2025-10-31 17:48:31,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,294 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,295 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,296 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,297 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,298 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:31,299 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:31,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=13.4, mean=-0.0458, std=3.226, absmax=14.89 +2025-10-31 17:48:31,301 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=11.62, mean=-0.02285, std=2.61, absmax=11.62 +2025-10-31 17:48:31,794 ERROR: Encountered non-finite generator loss at iter 10271; skipping update. +2025-10-31 17:48:31,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,796 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,797 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,798 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,799 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:31,800 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:31,802 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:31,803 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:31,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.23, mean=-0.1393, std=3.012, absmax=14.23 +2025-10-31 17:48:31,805 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.385, max=10.46, mean=-0.1394, std=2.365, absmax=10.46 +2025-10-31 17:48:32,300 ERROR: Encountered non-finite generator loss at iter 10272; skipping update. +2025-10-31 17:48:32,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,303 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,304 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:32,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:32,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.88, mean=-0.1727, std=2.671, absmax=12.62 +2025-10-31 17:48:32,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.889, max=8.042, mean=-0.1681, std=2.091, absmax=9.889 +2025-10-31 17:48:32,804 ERROR: Encountered non-finite generator loss at iter 10273; skipping update. +2025-10-31 17:48:32,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,806 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,808 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,809 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,810 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:32,811 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:32,811 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:32,812 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:32,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=12.75, mean=-0.1434, std=2.712, absmax=14.53 +2025-10-31 17:48:32,814 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.38, max=10.23, mean=-0.1334, std=2.322, absmax=11.38 +2025-10-31 17:48:33,307 ERROR: Encountered non-finite generator loss at iter 10274; skipping update. +2025-10-31 17:48:33,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,310 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,310 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,311 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,312 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,313 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,314 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:33,315 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:33,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=15.66, mean=-0.01987, std=3.325, absmax=15.66 +2025-10-31 17:48:33,317 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.582, max=11.05, mean=-0.1114, std=2.637, absmax=11.05 +2025-10-31 17:48:33,811 ERROR: Encountered non-finite generator loss at iter 10275; skipping update. +2025-10-31 17:48:33,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,814 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,815 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,816 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,817 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:33,818 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:33,818 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:33,819 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:33,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.54, mean=-0.2852, std=2.603, absmax=11.86 +2025-10-31 17:48:33,821 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.638, max=9.02, mean=-0.2998, std=2.385, absmax=9.638 +2025-10-31 17:48:34,318 ERROR: Encountered non-finite generator loss at iter 10276; skipping update. +2025-10-31 17:48:34,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,320 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,321 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,323 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,323 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,324 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,325 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:34,326 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:34,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.21, mean=-0.2234, std=3.016, absmax=12.48 +2025-10-31 17:48:34,328 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.27, max=7.601, mean=-0.1594, std=2.445, absmax=10.27 +2025-10-31 17:48:34,824 ERROR: Encountered non-finite generator loss at iter 10277; skipping update. +2025-10-31 17:48:34,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,826 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,827 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,827 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,828 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:34,829 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:34,830 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:34,831 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:34,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=14.97, mean=-0.2446, std=3.285, absmax=14.97 +2025-10-31 17:48:34,833 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.82, max=9.618, mean=-0.2072, std=2.625, absmax=11.82 +2025-10-31 17:48:35,331 ERROR: Encountered non-finite generator loss at iter 10278; skipping update. +2025-10-31 17:48:35,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,334 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,335 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,336 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,337 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,338 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,339 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:35,339 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:35,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.31, mean=-0.2192, std=2.755, absmax=12.97 +2025-10-31 17:48:35,341 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.34, max=8.02, mean=-0.2568, std=2.311, absmax=10.34 +2025-10-31 17:48:35,838 ERROR: Encountered non-finite generator loss at iter 10279; skipping update. +2025-10-31 17:48:35,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,841 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,842 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,843 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,844 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:35,845 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:35,846 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:35,847 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:35,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=14.93, mean=-0.246, std=2.975, absmax=14.93 +2025-10-31 17:48:35,849 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.09, max=10.01, mean=-0.2755, std=2.403, absmax=10.09 +2025-10-31 17:48:36,346 ERROR: Encountered non-finite generator loss at iter 10280; skipping update. +2025-10-31 17:48:36,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,348 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,348 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,349 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,350 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,351 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,352 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:36,353 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:36,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.25, mean=0.02368, std=2.95, absmax=13.25 +2025-10-31 17:48:36,355 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.608, max=7.992, mean=-0.02329, std=2.251, absmax=8.608 +2025-10-31 17:48:36,854 ERROR: Encountered non-finite generator loss at iter 10281; skipping update. +2025-10-31 17:48:36,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,858 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,859 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,860 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,861 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:36,862 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:36,863 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:36,864 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:36,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=12.88, mean=-0.3081, std=3.203, absmax=14.57 +2025-10-31 17:48:36,866 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.2, max=11.47, mean=-0.2455, std=2.793, absmax=12.2 +2025-10-31 17:48:37,361 ERROR: Encountered non-finite generator loss at iter 10282; skipping update. +2025-10-31 17:48:37,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,363 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,364 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,365 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,366 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,367 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,368 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:37,369 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:37,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.94, mean=-0.3209, std=2.775, absmax=11.99 +2025-10-31 17:48:37,371 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.783, max=7.341, mean=-0.3101, std=2.304, absmax=9.783 +2025-10-31 17:48:37,865 ERROR: Encountered non-finite generator loss at iter 10283; skipping update. +2025-10-31 17:48:37,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,867 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,868 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,869 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,870 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:37,871 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:37,872 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:37,873 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:37,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.21, mean=-0.1468, std=3.128, absmax=13.08 +2025-10-31 17:48:37,875 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.24, max=11.35, mean=-0.1217, std=2.836, absmax=11.35 +2025-10-31 17:48:38,368 ERROR: Encountered non-finite generator loss at iter 10284; skipping update. +2025-10-31 17:48:38,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,370 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,370 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,372 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,373 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,374 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,375 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:38,376 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:38,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.88, mean=-0.1089, std=2.662, absmax=13.52 +2025-10-31 17:48:38,378 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.579, max=10.03, mean=-0.1375, std=2.176, absmax=10.03 +2025-10-31 17:48:38,878 ERROR: Encountered non-finite generator loss at iter 10285; skipping update. +2025-10-31 17:48:38,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,880 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,881 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,882 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,882 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:38,883 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:38,885 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:38,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:38,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.11, max=8.869, mean=-0.3144, std=2.203, absmax=10.11 +2025-10-31 17:48:38,887 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.804, max=6.778, mean=-0.3131, std=1.933, absmax=8.804 +2025-10-31 17:48:39,382 ERROR: Encountered non-finite generator loss at iter 10286; skipping update. +2025-10-31 17:48:39,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,385 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,385 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,386 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,387 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,388 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,389 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:39,390 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:39,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.51, mean=0.03844, std=3.281, absmax=14.51 +2025-10-31 17:48:39,392 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.952, max=12.46, mean=0.001784, std=2.688, absmax=12.46 +2025-10-31 17:48:39,886 ERROR: Encountered non-finite generator loss at iter 10287; skipping update. +2025-10-31 17:48:39,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,889 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,889 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,890 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,891 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:39,892 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:39,893 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:39,894 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:39,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.83, mean=-0.102, std=2.759, absmax=13.83 +2025-10-31 17:48:39,896 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.233, mean=-0.1433, std=2.354, absmax=10.33 +2025-10-31 17:48:40,390 ERROR: Encountered non-finite generator loss at iter 10288; skipping update. +2025-10-31 17:48:40,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,393 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,394 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,395 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,396 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,397 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,398 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:40,399 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:40,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.01, mean=-0.2142, std=3.114, absmax=15.01 +2025-10-31 17:48:40,401 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.03, max=10.41, mean=-0.2237, std=2.598, absmax=10.41 +2025-10-31 17:48:40,896 ERROR: Encountered non-finite generator loss at iter 10289; skipping update. +2025-10-31 17:48:40,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,898 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,899 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,899 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,901 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:40,902 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:40,903 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:40,904 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:40,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=11.2, mean=-0.2656, std=3.382, absmax=13.91 +2025-10-31 17:48:40,905 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=8.94, mean=-0.3103, std=2.913, absmax=11.7 +2025-10-31 17:48:41,400 ERROR: Encountered non-finite generator loss at iter 10290; skipping update. +2025-10-31 17:48:41,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,403 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,404 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,405 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,406 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,407 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,408 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:41,409 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:41,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.27, mean=-0.1805, std=2.92, absmax=14.29 +2025-10-31 17:48:41,411 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.58, max=7.99, mean=-0.2296, std=2.349, absmax=9.58 +2025-10-31 17:48:41,904 ERROR: Encountered non-finite generator loss at iter 10291; skipping update. +2025-10-31 17:48:41,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,907 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,907 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,908 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,909 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:41,910 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:41,910 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:41,912 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:41,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.28, mean=-0.007886, std=3.284, absmax=15.28 +2025-10-31 17:48:41,914 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.67, max=13.6, mean=0.0219, std=2.935, absmax=13.67 +2025-10-31 17:48:42,409 ERROR: Encountered non-finite generator loss at iter 10292; skipping update. +2025-10-31 17:48:42,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,412 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,412 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,414 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,415 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,416 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,417 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:42,418 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:42,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.8, mean=-0.0891, std=2.617, absmax=12.8 +2025-10-31 17:48:42,420 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.451, max=9.917, mean=-0.1415, std=2.174, absmax=9.917 +2025-10-31 17:48:42,914 ERROR: Encountered non-finite generator loss at iter 10293; skipping update. +2025-10-31 17:48:42,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,916 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,917 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,918 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,922 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:42,923 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:42,924 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:42,925 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:42,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.56, mean=-0.2212, std=2.574, absmax=12.56 +2025-10-31 17:48:42,928 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.618, max=8.142, mean=-0.2571, std=2.126, absmax=9.618 +2025-10-31 17:48:43,422 ERROR: Encountered non-finite generator loss at iter 10294; skipping update. +2025-10-31 17:48:43,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,425 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,425 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,425 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,426 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,426 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,427 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:43,428 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:43,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=15.13, mean=0.2121, std=3.761, absmax=15.13 +2025-10-31 17:48:43,430 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.23, max=12.74, mean=0.1416, std=3.182, absmax=12.74 +2025-10-31 17:48:43,923 ERROR: Encountered non-finite generator loss at iter 10295; skipping update. +2025-10-31 17:48:43,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,926 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,927 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,928 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,929 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:43,930 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:43,931 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:43,932 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:43,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.46, mean=-0.07455, std=3.26, absmax=14.46 +2025-10-31 17:48:43,934 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=12.95, mean=-0.07488, std=2.828, absmax=12.95 +2025-10-31 17:48:44,427 ERROR: Encountered non-finite generator loss at iter 10296; skipping update. +2025-10-31 17:48:44,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,430 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,430 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,431 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,432 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,433 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,434 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:44,435 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:44,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.52, mean=-0.2504, std=3.097, absmax=14.52 +2025-10-31 17:48:44,437 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.76, max=11.24, mean=-0.2365, std=2.446, absmax=11.76 +2025-10-31 17:48:44,930 ERROR: Encountered non-finite generator loss at iter 10297; skipping update. +2025-10-31 17:48:44,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,932 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,933 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,933 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,934 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:44,935 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:44,936 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:44,937 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:44,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.63, mean=0.08498, std=2.771, absmax=13.13 +2025-10-31 17:48:44,939 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.457, max=9.788, mean=0.06513, std=2.371, absmax=9.788 +2025-10-31 17:48:45,434 ERROR: Encountered non-finite generator loss at iter 10298; skipping update. +2025-10-31 17:48:45,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,437 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,437 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,437 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,438 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,439 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,440 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:45,441 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:45,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.29, mean=-0.2286, std=2.558, absmax=12.63 +2025-10-31 17:48:45,443 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.352, max=10.27, mean=-0.2225, std=2.338, absmax=10.27 +2025-10-31 17:48:45,937 ERROR: Encountered non-finite generator loss at iter 10299; skipping update. +2025-10-31 17:48:45,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,939 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,940 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,941 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,942 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:45,943 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:45,944 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:45,944 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:45,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.82, mean=-0.1223, std=2.962, absmax=11.82 +2025-10-31 17:48:45,946 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.129, max=10.66, mean=-0.1457, std=2.469, absmax=10.66 +2025-10-31 17:48:46,439 ERROR: Encountered non-finite generator loss at iter 10300; skipping update. +2025-10-31 17:48:46,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:46,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:46,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.62, mean=-0.1429, std=2.722, absmax=13.62 +2025-10-31 17:48:46,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.12, max=9.095, mean=-0.1336, std=2.249, absmax=10.12 +2025-10-31 17:48:46,450 INFO: [29..][epoch: 0, step: 10,300, lr:(1.500e-04,)] [eta: 1 day, 16:37:44, time (data): 0.505 (0.000)] +2025-10-31 17:48:46,941 ERROR: Encountered non-finite generator loss at iter 10301; skipping update. +2025-10-31 17:48:46,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,943 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,943 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,945 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,946 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:46,947 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:46,948 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:46,949 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:46,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.96, max=15.05, mean=-0.0956, std=3.472, absmax=15.96 +2025-10-31 17:48:46,951 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.82, max=13.23, mean=-0.07584, std=2.868, absmax=13.82 +2025-10-31 17:48:47,443 ERROR: Encountered non-finite generator loss at iter 10302; skipping update. +2025-10-31 17:48:47,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,445 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,447 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,448 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,449 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,449 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,450 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:47,451 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:47,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.77, mean=-0.2391, std=2.581, absmax=12.77 +2025-10-31 17:48:47,453 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.549, max=9.01, mean=-0.2354, std=2.103, absmax=9.01 +2025-10-31 17:48:47,945 ERROR: Encountered non-finite generator loss at iter 10303; skipping update. +2025-10-31 17:48:47,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,948 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,948 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:47,950 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:47,951 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:47,952 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:47,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.76, mean=-0.03838, std=2.996, absmax=13.76 +2025-10-31 17:48:47,953 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.673, max=10.97, mean=-0.04324, std=2.569, absmax=10.97 +2025-10-31 17:48:48,446 ERROR: Encountered non-finite generator loss at iter 10304; skipping update. +2025-10-31 17:48:48,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,449 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,449 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,450 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,451 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,452 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,453 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:48,454 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:48,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.96, mean=-0.3309, std=3.213, absmax=14.06 +2025-10-31 17:48:48,456 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.73, max=8.276, mean=-0.3142, std=2.593, absmax=10.73 +2025-10-31 17:48:48,950 ERROR: Encountered non-finite generator loss at iter 10305; skipping update. +2025-10-31 17:48:48,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,956 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,959 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:48,960 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:48,961 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:48,962 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:48,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.23, mean=-0.184, std=2.932, absmax=14 +2025-10-31 17:48:48,964 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.08, max=9.872, mean=-0.1735, std=2.48, absmax=11.08 +2025-10-31 17:48:49,458 ERROR: Encountered non-finite generator loss at iter 10306; skipping update. +2025-10-31 17:48:49,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,460 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,461 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,462 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,463 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,464 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,465 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:49,466 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:49,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=10.42, mean=-0.2754, std=2.612, absmax=12.77 +2025-10-31 17:48:49,468 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.407, max=7.796, mean=-0.2697, std=2.249, absmax=9.407 +2025-10-31 17:48:49,962 ERROR: Encountered non-finite generator loss at iter 10307; skipping update. +2025-10-31 17:48:49,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,966 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,967 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,968 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,969 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:49,970 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:49,971 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:49,972 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:49,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.72, mean=-0.19, std=2.677, absmax=12.72 +2025-10-31 17:48:49,974 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.735, max=8.528, mean=-0.1774, std=2.184, absmax=8.735 +2025-10-31 17:48:50,465 ERROR: Encountered non-finite generator loss at iter 10308; skipping update. +2025-10-31 17:48:50,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,467 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,468 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,469 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,470 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,471 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,472 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:50,473 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:50,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.53, mean=0.03912, std=3.175, absmax=12.63 +2025-10-31 17:48:50,474 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.23, max=10.12, mean=0.0176, std=2.664, absmax=10.23 +2025-10-31 17:48:50,966 ERROR: Encountered non-finite generator loss at iter 10309; skipping update. +2025-10-31 17:48:50,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,969 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,969 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,970 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,971 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:50,972 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:50,973 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:50,974 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:50,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.08, mean=-0.1598, std=2.986, absmax=13.08 +2025-10-31 17:48:50,976 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.35, max=9.057, mean=-0.1204, std=2.569, absmax=10.35 +2025-10-31 17:48:51,468 ERROR: Encountered non-finite generator loss at iter 10310; skipping update. +2025-10-31 17:48:51,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,471 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,472 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,473 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,474 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,475 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,476 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:51,477 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:51,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.28, mean=-0.07741, std=3.612, absmax=14.28 +2025-10-31 17:48:51,478 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.3, max=11.08, mean=-0.1096, std=3.047, absmax=13.3 +2025-10-31 17:48:51,971 ERROR: Encountered non-finite generator loss at iter 10311; skipping update. +2025-10-31 17:48:51,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,975 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,976 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:51,977 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:51,978 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:51,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:51,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=12.28, mean=-0.1323, std=2.534, absmax=12.28 +2025-10-31 17:48:51,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.164, max=8.535, mean=-0.1584, std=2.258, absmax=9.164 +2025-10-31 17:48:52,473 ERROR: Encountered non-finite generator loss at iter 10312; skipping update. +2025-10-31 17:48:52,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,476 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,476 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,478 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,479 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,480 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,481 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:52,482 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:52,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.21, mean=-0.08385, std=3.147, absmax=14.21 +2025-10-31 17:48:52,484 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.93, max=12.95, mean=-0.09675, std=2.745, absmax=12.95 +2025-10-31 17:48:52,976 ERROR: Encountered non-finite generator loss at iter 10313; skipping update. +2025-10-31 17:48:52,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,979 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,980 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,981 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,982 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:52,983 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:52,985 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:52,985 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:52,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.09, mean=-0.1458, std=2.514, absmax=11.23 +2025-10-31 17:48:52,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.52, max=8.081, mean=-0.1397, std=2.255, absmax=10.52 +2025-10-31 17:48:53,483 ERROR: Encountered non-finite generator loss at iter 10314; skipping update. +2025-10-31 17:48:53,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,485 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,486 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,487 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,488 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,489 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,490 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:53,491 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:53,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.53, mean=-0.1356, std=2.899, absmax=13.04 +2025-10-31 17:48:53,493 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.585, max=9.205, mean=-0.1968, std=2.301, absmax=9.205 +2025-10-31 17:48:53,984 ERROR: Encountered non-finite generator loss at iter 10315; skipping update. +2025-10-31 17:48:53,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,987 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,987 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,989 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,990 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:53,990 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:53,992 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:53,992 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:53,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.72, mean=-0.01369, std=2.989, absmax=14.72 +2025-10-31 17:48:53,994 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.656, max=10.1, mean=0.002492, std=2.578, absmax=10.1 +2025-10-31 17:48:54,486 ERROR: Encountered non-finite generator loss at iter 10316; skipping update. +2025-10-31 17:48:54,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,488 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,489 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,491 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,492 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,493 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,493 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:54,496 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:54,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=11.52, mean=-0.05876, std=2.657, absmax=11.52 +2025-10-31 17:48:54,498 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.293, max=8.396, mean=-0.09067, std=2.264, absmax=8.396 +2025-10-31 17:48:54,989 ERROR: Encountered non-finite generator loss at iter 10317; skipping update. +2025-10-31 17:48:54,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,992 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,993 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,994 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:54,994 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:54,994 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:54,995 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:54,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.33, mean=-0.2863, std=3.285, absmax=14.61 +2025-10-31 17:48:54,997 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.34, max=9.723, mean=-0.3755, std=2.847, absmax=11.34 +2025-10-31 17:48:55,490 ERROR: Encountered non-finite generator loss at iter 10318; skipping update. +2025-10-31 17:48:55,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:55,493 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:55,494 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:55,495 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:55,496 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:55,497 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:55,498 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:55,499 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:55,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.42, mean=-0.2298, std=3.042, absmax=12.96 +2025-10-31 17:48:55,501 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.14, max=9.953, mean=-0.2381, std=2.53, absmax=12.14 +2025-10-31 17:48:55,994 ERROR: Encountered non-finite generator loss at iter 10319; skipping update. +2025-10-31 17:48:55,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:55,996 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:55,998 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:55,999 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:56,000 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:56,001 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:56,002 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:56,003 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:56,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.51, mean=-0.02071, std=3.044, absmax=12.51 +2025-10-31 17:48:56,005 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.438, max=11.66, mean=-0.1014, std=2.577, absmax=11.66 +2025-10-31 17:48:56,497 ERROR: Encountered non-finite generator loss at iter 10320; skipping update. +2025-10-31 17:48:56,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:56,499 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:56,500 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:56,501 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:56,502 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:56,503 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:56,504 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:56,505 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:56,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.22, mean=-0.1654, std=2.841, absmax=12.24 +2025-10-31 17:48:56,507 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.401, max=8.751, mean=-0.1552, std=2.42, absmax=9.401 +2025-10-31 17:48:57,000 ERROR: Encountered non-finite generator loss at iter 10321; skipping update. +2025-10-31 17:48:57,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,002 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,002 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,003 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,004 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,005 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,006 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:57,007 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:57,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17, max=14.85, mean=-0.09826, std=3.432, absmax=17 +2025-10-31 17:48:57,009 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.7, max=10.53, mean=-0.08629, std=2.774, absmax=11.7 +2025-10-31 17:48:57,502 ERROR: Encountered non-finite generator loss at iter 10322; skipping update. +2025-10-31 17:48:57,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,504 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,505 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,505 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,505 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:57,506 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:57,507 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:57,508 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:57,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.33, mean=0.04635, std=3.156, absmax=14.33 +2025-10-31 17:48:57,511 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.335, max=11.89, mean=0.01891, std=2.625, absmax=11.89 +2025-10-31 17:48:58,003 ERROR: Encountered non-finite generator loss at iter 10323; skipping update. +2025-10-31 17:48:58,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,005 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,005 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,006 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,007 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,008 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,009 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:58,010 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:58,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.23, mean=-0.1828, std=2.865, absmax=13.23 +2025-10-31 17:48:58,012 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.608, max=10.84, mean=-0.161, std=2.318, absmax=10.84 +2025-10-31 17:48:58,503 ERROR: Encountered non-finite generator loss at iter 10324; skipping update. +2025-10-31 17:48:58,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,506 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,506 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,507 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,508 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:58,509 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:58,510 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:58,512 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:58,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=10.39, mean=-0.3223, std=2.65, absmax=11.05 +2025-10-31 17:48:58,515 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.572, max=7.855, mean=-0.3049, std=2.158, absmax=8.572 +2025-10-31 17:48:59,023 ERROR: Encountered non-finite generator loss at iter 10325; skipping update. +2025-10-31 17:48:59,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,026 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,027 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,027 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,027 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,028 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,029 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:59,031 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:59,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.45, mean=-0.2139, std=2.999, absmax=14.23 +2025-10-31 17:48:59,033 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.43, max=9.798, mean=-0.1907, std=2.43, absmax=11.43 +2025-10-31 17:48:59,524 ERROR: Encountered non-finite generator loss at iter 10326; skipping update. +2025-10-31 17:48:59,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,527 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,527 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,528 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,529 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:48:59,530 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:48:59,531 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:48:59,532 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:48:59,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.99, mean=-0.2358, std=2.69, absmax=12.56 +2025-10-31 17:48:59,534 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.08, max=9.763, mean=-0.1864, std=2.331, absmax=10.08 +2025-10-31 17:49:00,026 ERROR: Encountered non-finite generator loss at iter 10327; skipping update. +2025-10-31 17:49:00,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,028 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,029 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,030 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,031 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,032 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:00,033 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:00,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.01, mean=0.03928, std=3.603, absmax=14.01 +2025-10-31 17:49:00,035 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=10.58, mean=0.05347, std=3.014, absmax=10.58 +2025-10-31 17:49:00,527 ERROR: Encountered non-finite generator loss at iter 10328; skipping update. +2025-10-31 17:49:00,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,529 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,530 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,531 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,533 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:00,534 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:00,534 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:00,535 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:00,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.43, mean=-0.07141, std=3.209, absmax=14.43 +2025-10-31 17:49:00,537 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.05, max=11.86, mean=-0.1018, std=2.682, absmax=11.86 +2025-10-31 17:49:01,029 ERROR: Encountered non-finite generator loss at iter 10329; skipping update. +2025-10-31 17:49:01,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,031 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,032 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,032 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,033 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,034 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,035 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:01,036 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:01,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.2, mean=-0.2862, std=3.183, absmax=13.2 +2025-10-31 17:49:01,038 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.33, max=9.503, mean=-0.2693, std=2.669, absmax=11.33 +2025-10-31 17:49:01,531 ERROR: Encountered non-finite generator loss at iter 10330; skipping update. +2025-10-31 17:49:01,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,533 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,534 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,534 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,536 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:01,537 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:01,538 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:01,539 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:01,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=13.29, mean=-0.1171, std=3.037, absmax=14.67 +2025-10-31 17:49:01,541 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.62, mean=-0.1225, std=2.31, absmax=11.03 +2025-10-31 17:49:02,033 ERROR: Encountered non-finite generator loss at iter 10331; skipping update. +2025-10-31 17:49:02,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,037 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,038 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,039 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,040 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,041 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,042 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:02,043 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:02,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.93, mean=-0.1899, std=3.09, absmax=13.59 +2025-10-31 17:49:02,045 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.5, max=10.82, mean=-0.1359, std=2.598, absmax=11.5 +2025-10-31 17:49:02,538 ERROR: Encountered non-finite generator loss at iter 10332; skipping update. +2025-10-31 17:49:02,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,540 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,542 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,543 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,544 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:02,545 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:02,546 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:02,547 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:02,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.3, mean=-0.07576, std=3.036, absmax=13.3 +2025-10-31 17:49:02,549 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.961, max=11.97, mean=-0.09212, std=2.797, absmax=11.97 +2025-10-31 17:49:03,043 ERROR: Encountered non-finite generator loss at iter 10333; skipping update. +2025-10-31 17:49:03,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,046 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,047 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,048 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,049 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,050 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,051 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:03,052 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:03,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=15.59, mean=-0.2191, std=2.58, absmax=15.59 +2025-10-31 17:49:03,054 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.967, max=11.13, mean=-0.2204, std=2.039, absmax=11.13 +2025-10-31 17:49:03,546 ERROR: Encountered non-finite generator loss at iter 10334; skipping update. +2025-10-31 17:49:03,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,549 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,549 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,550 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,551 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:03,552 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:03,553 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:03,554 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:03,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.84, mean=-0.1888, std=3.094, absmax=12.84 +2025-10-31 17:49:03,556 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.709, max=10.19, mean=-0.2066, std=2.515, absmax=10.19 +2025-10-31 17:49:04,050 ERROR: Encountered non-finite generator loss at iter 10335; skipping update. +2025-10-31 17:49:04,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,053 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,054 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,055 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,056 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,057 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,057 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:04,058 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:04,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.11, mean=-0.2476, std=2.85, absmax=11.93 +2025-10-31 17:49:04,060 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=9.298, mean=-0.2332, std=2.496, absmax=10.33 +2025-10-31 17:49:04,553 ERROR: Encountered non-finite generator loss at iter 10336; skipping update. +2025-10-31 17:49:04,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,556 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,557 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,559 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,559 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:04,560 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:04,561 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:04,562 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:04,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.51, mean=-0.1474, std=2.701, absmax=11.85 +2025-10-31 17:49:04,564 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.207, max=9.316, mean=-0.0941, std=2.332, absmax=9.316 +2025-10-31 17:49:05,059 ERROR: Encountered non-finite generator loss at iter 10337; skipping update. +2025-10-31 17:49:05,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,061 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,062 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,063 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,064 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,065 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,066 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:05,067 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:05,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=14.73, mean=-0.03883, std=3.716, absmax=14.73 +2025-10-31 17:49:05,069 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.79, max=12.65, mean=-0.04446, std=3.07, absmax=12.65 +2025-10-31 17:49:05,563 ERROR: Encountered non-finite generator loss at iter 10338; skipping update. +2025-10-31 17:49:05,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,567 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,567 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:05,567 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:05,568 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:05,568 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:05,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.52, mean=-0.09077, std=2.546, absmax=13.52 +2025-10-31 17:49:05,570 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.833, max=9.451, mean=-0.0999, std=2.121, absmax=9.451 +2025-10-31 17:49:06,063 ERROR: Encountered non-finite generator loss at iter 10339; skipping update. +2025-10-31 17:49:06,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,065 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,066 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,066 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,067 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,068 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,069 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:06,070 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:06,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.42, mean=-0.1463, std=2.656, absmax=12.42 +2025-10-31 17:49:06,072 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.793, max=11.4, mean=-0.1626, std=2.29, absmax=11.4 +2025-10-31 17:49:06,564 ERROR: Encountered non-finite generator loss at iter 10340; skipping update. +2025-10-31 17:49:06,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,567 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:06,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:06,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:06,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:06,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.39, mean=0.005559, std=2.896, absmax=12.74 +2025-10-31 17:49:06,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.32, max=9.23, mean=0.0002544, std=2.382, absmax=10.32 +2025-10-31 17:49:07,067 ERROR: Encountered non-finite generator loss at iter 10341; skipping update. +2025-10-31 17:49:07,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:07,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:07,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.53, mean=-0.03726, std=2.712, absmax=13.53 +2025-10-31 17:49:07,077 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.897, max=10.87, mean=-0.08268, std=2.217, absmax=10.87 +2025-10-31 17:49:07,571 ERROR: Encountered non-finite generator loss at iter 10342; skipping update. +2025-10-31 17:49:07,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,575 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,576 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,577 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:07,578 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:07,579 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:07,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:07,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=12.97, mean=-0.3253, std=3.686, absmax=14.72 +2025-10-31 17:49:07,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.39, max=10.03, mean=-0.2467, std=3.238, absmax=13.39 +2025-10-31 17:49:08,076 ERROR: Encountered non-finite generator loss at iter 10343; skipping update. +2025-10-31 17:49:08,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,078 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,078 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,078 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,079 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,080 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,081 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:08,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:08,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.65, mean=-0.1145, std=2.699, absmax=13.65 +2025-10-31 17:49:08,084 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.337, max=10.03, mean=-0.13, std=2.266, absmax=10.03 +2025-10-31 17:49:08,578 ERROR: Encountered non-finite generator loss at iter 10344; skipping update. +2025-10-31 17:49:08,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,580 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,581 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,581 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,583 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:08,584 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:08,584 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:08,584 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:08,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.45, mean=-0.2221, std=2.82, absmax=12.45 +2025-10-31 17:49:08,586 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.301, max=9.096, mean=-0.2628, std=2.224, absmax=9.301 +2025-10-31 17:49:09,079 ERROR: Encountered non-finite generator loss at iter 10345; skipping update. +2025-10-31 17:49:09,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,082 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,083 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,084 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,085 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,086 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,087 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:09,088 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:09,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.88, mean=0.2528, std=3.589, absmax=13.88 +2025-10-31 17:49:09,090 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.25, max=11.63, mean=0.1844, std=2.908, absmax=11.63 +2025-10-31 17:49:09,584 ERROR: Encountered non-finite generator loss at iter 10346; skipping update. +2025-10-31 17:49:09,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,587 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,588 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,589 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,590 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:09,591 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:09,592 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:09,593 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:09,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=13.25, mean=-0.143, std=3.583, absmax=14.07 +2025-10-31 17:49:09,595 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.77, max=10.93, mean=-0.1298, std=3.087, absmax=11.77 +2025-10-31 17:49:10,089 ERROR: Encountered non-finite generator loss at iter 10347; skipping update. +2025-10-31 17:49:10,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,090 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,091 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,091 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,092 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,093 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,093 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:10,094 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:10,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.31, mean=-0.2618, std=2.901, absmax=14.28 +2025-10-31 17:49:10,097 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.37, max=8.529, mean=-0.1846, std=2.411, absmax=11.37 +2025-10-31 17:49:10,591 ERROR: Encountered non-finite generator loss at iter 10348; skipping update. +2025-10-31 17:49:10,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,594 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,595 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,596 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,597 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:10,597 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:10,598 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:10,599 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:10,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.97, mean=-0.03321, std=2.786, absmax=11.97 +2025-10-31 17:49:10,602 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.75, max=9.705, mean=-0.05919, std=2.421, absmax=10.75 +2025-10-31 17:49:11,095 ERROR: Encountered non-finite generator loss at iter 10349; skipping update. +2025-10-31 17:49:11,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,098 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,099 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,100 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,101 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,102 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,103 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:11,104 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:11,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.37, mean=-0.2453, std=2.67, absmax=12.53 +2025-10-31 17:49:11,106 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.29, max=7.819, mean=-0.2785, std=2.319, absmax=10.29 +2025-10-31 17:49:11,601 ERROR: Encountered non-finite generator loss at iter 10350; skipping update. +2025-10-31 17:49:11,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,603 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,604 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,606 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,606 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:11,607 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:11,608 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:11,609 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:11,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.84, mean=-0.2193, std=2.65, absmax=13.04 +2025-10-31 17:49:11,611 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.658, max=8.608, mean=-0.2234, std=2.26, absmax=9.658 +2025-10-31 17:49:12,104 ERROR: Encountered non-finite generator loss at iter 10351; skipping update. +2025-10-31 17:49:12,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,107 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,108 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,109 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,110 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,111 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,112 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:12,113 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:12,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=10.19, mean=-0.2723, std=2.994, absmax=12.63 +2025-10-31 17:49:12,115 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.26, max=8.9, mean=-0.2853, std=2.717, absmax=12.26 +2025-10-31 17:49:12,609 ERROR: Encountered non-finite generator loss at iter 10352; skipping update. +2025-10-31 17:49:12,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,611 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,612 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,612 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,613 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:12,614 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:12,615 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:12,616 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:12,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.46, mean=0.01816, std=3.562, absmax=14.46 +2025-10-31 17:49:12,618 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.55, max=10.67, mean=-0.06236, std=2.967, absmax=12.55 +2025-10-31 17:49:13,111 ERROR: Encountered non-finite generator loss at iter 10353; skipping update. +2025-10-31 17:49:13,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,113 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,114 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,114 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,114 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,116 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,117 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:13,118 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:13,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=16.47, mean=-0.02565, std=3.632, absmax=16.47 +2025-10-31 17:49:13,120 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=13.94, mean=-0.01606, std=3.048, absmax=13.94 +2025-10-31 17:49:13,614 ERROR: Encountered non-finite generator loss at iter 10354; skipping update. +2025-10-31 17:49:13,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,617 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,617 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,619 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,620 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:13,621 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:13,622 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:13,623 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:13,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=12.66, mean=-0.1947, std=2.881, absmax=14.61 +2025-10-31 17:49:13,625 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=8.248, mean=-0.2457, std=2.504, absmax=11.59 +2025-10-31 17:49:14,119 ERROR: Encountered non-finite generator loss at iter 10355; skipping update. +2025-10-31 17:49:14,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,122 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,122 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,122 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,123 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,124 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,125 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:14,126 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:14,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.08, mean=-0.07085, std=3.243, absmax=13.65 +2025-10-31 17:49:14,128 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.83, max=10.3, mean=-0.1903, std=2.87, absmax=11.83 +2025-10-31 17:49:14,621 ERROR: Encountered non-finite generator loss at iter 10356; skipping update. +2025-10-31 17:49:14,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,623 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,624 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,625 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,626 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:14,627 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:14,627 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:14,628 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:14,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.55, mean=0.02879, std=2.959, absmax=12.55 +2025-10-31 17:49:14,629 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.18, max=9.271, mean=0.02637, std=2.556, absmax=10.18 +2025-10-31 17:49:15,122 ERROR: Encountered non-finite generator loss at iter 10357; skipping update. +2025-10-31 17:49:15,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,124 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,125 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,127 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,128 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,129 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,130 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:15,131 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:15,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.63, mean=0.005241, std=3.579, absmax=13.63 +2025-10-31 17:49:15,133 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.07, mean=-0.02157, std=2.948, absmax=11.07 +2025-10-31 17:49:15,626 ERROR: Encountered non-finite generator loss at iter 10358; skipping update. +2025-10-31 17:49:15,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,629 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,629 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,630 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,631 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:15,632 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:15,633 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:15,634 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:15,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.92, mean=0.2057, std=3.879, absmax=13.92 +2025-10-31 17:49:15,636 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.02, max=12.72, mean=0.211, std=3.443, absmax=12.72 +2025-10-31 17:49:16,132 ERROR: Encountered non-finite generator loss at iter 10359; skipping update. +2025-10-31 17:49:16,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,134 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,135 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,135 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,135 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,136 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,137 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:16,138 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:16,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.82, mean=-0.3176, std=2.931, absmax=12.82 +2025-10-31 17:49:16,140 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.46, max=8.505, mean=-0.2997, std=2.399, absmax=11.46 +2025-10-31 17:49:16,635 ERROR: Encountered non-finite generator loss at iter 10360; skipping update. +2025-10-31 17:49:16,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,638 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,638 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,639 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,640 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:16,641 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:16,642 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:16,643 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:16,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.88, mean=0.1153, std=3.17, absmax=12.88 +2025-10-31 17:49:16,646 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.69, max=11.58, mean=0.03567, std=2.771, absmax=11.58 +2025-10-31 17:49:17,140 ERROR: Encountered non-finite generator loss at iter 10361; skipping update. +2025-10-31 17:49:17,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,143 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,143 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,144 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,145 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,146 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,147 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:17,148 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:17,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.07, mean=-0.3326, std=3.203, absmax=14.07 +2025-10-31 17:49:17,151 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=10.08, mean=-0.3098, std=2.586, absmax=11.29 +2025-10-31 17:49:17,662 ERROR: Encountered non-finite generator loss at iter 10362; skipping update. +2025-10-31 17:49:17,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,665 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,666 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,667 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,668 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:17,669 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:17,670 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:17,671 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:17,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=14.28, mean=0.06366, std=3.052, absmax=14.28 +2025-10-31 17:49:17,673 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.488, max=10.43, mean=0.05951, std=2.555, absmax=10.43 +2025-10-31 17:49:18,174 ERROR: Encountered non-finite generator loss at iter 10363; skipping update. +2025-10-31 17:49:18,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,176 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,177 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,177 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,179 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,180 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,180 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:18,181 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:18,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.8, mean=-0.1576, std=2.671, absmax=12.8 +2025-10-31 17:49:18,183 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.997, max=9.681, mean=-0.1401, std=2.312, absmax=9.681 +2025-10-31 17:49:18,677 ERROR: Encountered non-finite generator loss at iter 10364; skipping update. +2025-10-31 17:49:18,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,680 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,681 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,682 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,683 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:18,684 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:18,685 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:18,686 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:18,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=11.69, mean=-0.251, std=2.514, absmax=11.69 +2025-10-31 17:49:18,688 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.41, max=8.966, mean=-0.2244, std=2.163, absmax=9.41 +2025-10-31 17:49:19,182 ERROR: Encountered non-finite generator loss at iter 10365; skipping update. +2025-10-31 17:49:19,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,185 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,185 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,186 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,187 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,188 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,189 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:19,190 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:19,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=11.38, mean=-0.3504, std=3.081, absmax=13.25 +2025-10-31 17:49:19,192 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.82, max=8.421, mean=-0.2754, std=2.692, absmax=10.82 +2025-10-31 17:49:19,685 ERROR: Encountered non-finite generator loss at iter 10366; skipping update. +2025-10-31 17:49:19,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,688 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,689 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,690 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,691 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:19,692 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:19,692 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:19,693 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:19,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=17.31, mean=0.003355, std=3.13, absmax=17.31 +2025-10-31 17:49:19,696 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.61, max=10.74, mean=0.01442, std=2.667, absmax=10.74 +2025-10-31 17:49:20,190 ERROR: Encountered non-finite generator loss at iter 10367; skipping update. +2025-10-31 17:49:20,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,192 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,193 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,194 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,195 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,196 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,197 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:20,198 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:20,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=17.21, mean=-0.1557, std=2.84, absmax=17.21 +2025-10-31 17:49:20,200 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=12.08, mean=-0.1475, std=2.378, absmax=12.08 +2025-10-31 17:49:20,694 ERROR: Encountered non-finite generator loss at iter 10368; skipping update. +2025-10-31 17:49:20,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,697 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,697 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,699 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,699 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:20,700 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:20,701 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:20,702 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:20,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.36, mean=-0.2262, std=3.148, absmax=14.39 +2025-10-31 17:49:20,704 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.86, max=9.868, mean=-0.1478, std=2.599, absmax=10.86 +2025-10-31 17:49:21,199 ERROR: Encountered non-finite generator loss at iter 10369; skipping update. +2025-10-31 17:49:21,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,201 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,202 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,203 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,204 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,205 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,206 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:21,207 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:21,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.68, max=13.14, mean=-0.1913, std=3.289, absmax=15.68 +2025-10-31 17:49:21,209 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.64, max=8.762, mean=-0.165, std=2.675, absmax=11.64 +2025-10-31 17:49:21,704 ERROR: Encountered non-finite generator loss at iter 10370; skipping update. +2025-10-31 17:49:21,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,707 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,707 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,708 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,709 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:21,710 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:21,711 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:21,712 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:21,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=13.74, mean=-0.07267, std=3.103, absmax=13.74 +2025-10-31 17:49:21,713 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.21, max=9.248, mean=-0.07162, std=2.433, absmax=10.21 +2025-10-31 17:49:22,208 ERROR: Encountered non-finite generator loss at iter 10371; skipping update. +2025-10-31 17:49:22,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,210 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,211 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,212 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,213 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,214 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,215 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:22,216 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:22,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.23, mean=-0.1746, std=2.776, absmax=13.23 +2025-10-31 17:49:22,218 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.1, max=8.979, mean=-0.1922, std=2.467, absmax=10.1 +2025-10-31 17:49:22,712 ERROR: Encountered non-finite generator loss at iter 10372; skipping update. +2025-10-31 17:49:22,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,715 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,716 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,717 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,718 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:22,718 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:22,719 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:22,720 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:22,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.33, mean=-0.2559, std=3.142, absmax=13.02 +2025-10-31 17:49:22,722 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.97, max=8.373, mean=-0.228, std=2.61, absmax=10.97 +2025-10-31 17:49:23,216 ERROR: Encountered non-finite generator loss at iter 10373; skipping update. +2025-10-31 17:49:23,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,219 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,220 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,221 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,222 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,223 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,224 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:23,224 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:23,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.75, mean=0.03629, std=3.229, absmax=13.75 +2025-10-31 17:49:23,226 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.266, max=11.77, mean=0.03658, std=2.761, absmax=11.77 +2025-10-31 17:49:23,721 ERROR: Encountered non-finite generator loss at iter 10374; skipping update. +2025-10-31 17:49:23,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,723 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,724 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,725 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,726 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:23,727 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:23,728 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:23,729 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:23,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.35, mean=-0.1553, std=2.97, absmax=14.35 +2025-10-31 17:49:23,731 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.51, max=11.72, mean=-0.1669, std=2.524, absmax=11.72 +2025-10-31 17:49:24,225 ERROR: Encountered non-finite generator loss at iter 10375; skipping update. +2025-10-31 17:49:24,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,228 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,228 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,229 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,230 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,232 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,233 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:24,233 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:24,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.73, mean=-0.1087, std=2.704, absmax=13.73 +2025-10-31 17:49:24,235 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.693, max=8.219, mean=-0.1763, std=2.208, absmax=9.693 +2025-10-31 17:49:24,730 ERROR: Encountered non-finite generator loss at iter 10376; skipping update. +2025-10-31 17:49:24,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,732 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,733 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,734 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,735 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:24,736 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:24,737 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:24,738 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:24,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.35, mean=-0.09044, std=2.98, absmax=13.18 +2025-10-31 17:49:24,739 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.81, max=8.431, mean=-0.08433, std=2.434, absmax=10.81 +2025-10-31 17:49:25,233 ERROR: Encountered non-finite generator loss at iter 10377; skipping update. +2025-10-31 17:49:25,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,236 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,236 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,236 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,237 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,238 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,239 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:25,240 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:25,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.26, mean=-0.2702, std=2.451, absmax=14.26 +2025-10-31 17:49:25,242 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.614, max=8.816, mean=-0.307, std=2.132, absmax=9.614 +2025-10-31 17:49:25,737 ERROR: Encountered non-finite generator loss at iter 10378; skipping update. +2025-10-31 17:49:25,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,740 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,740 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,742 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,743 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:25,744 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:25,745 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:25,746 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:25,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.04, mean=-0.1067, std=2.633, absmax=13.3 +2025-10-31 17:49:25,748 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.619, max=10.44, mean=-0.1159, std=2.138, absmax=10.44 +2025-10-31 17:49:26,241 ERROR: Encountered non-finite generator loss at iter 10379; skipping update. +2025-10-31 17:49:26,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,244 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,245 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,247 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,247 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,248 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,249 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:26,250 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:26,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.42, mean=-0.2459, std=2.77, absmax=12.42 +2025-10-31 17:49:26,252 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.252, max=10.03, mean=-0.2338, std=2.452, absmax=10.03 +2025-10-31 17:49:26,746 ERROR: Encountered non-finite generator loss at iter 10380; skipping update. +2025-10-31 17:49:26,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,749 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,750 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,751 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,752 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:26,753 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:26,754 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:26,755 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:26,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=10.65, mean=-0.416, std=3.148, absmax=13.72 +2025-10-31 17:49:26,757 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.31, max=8.29, mean=-0.4306, std=2.74, absmax=11.31 +2025-10-31 17:49:27,251 ERROR: Encountered non-finite generator loss at iter 10381; skipping update. +2025-10-31 17:49:27,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,254 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,254 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,255 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,255 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,256 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,257 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:27,258 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:27,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.2, mean=-0.175, std=3.13, absmax=14.73 +2025-10-31 17:49:27,260 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.812, max=9.89, mean=-0.1453, std=2.492, absmax=9.89 +2025-10-31 17:49:27,755 ERROR: Encountered non-finite generator loss at iter 10382; skipping update. +2025-10-31 17:49:27,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,757 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,758 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,758 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,759 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:27,760 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:27,761 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:27,762 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:27,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=12.9, mean=-0.1726, std=3.128, absmax=15.75 +2025-10-31 17:49:27,764 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.33, max=10.81, mean=-0.205, std=2.603, absmax=10.81 +2025-10-31 17:49:28,258 ERROR: Encountered non-finite generator loss at iter 10383; skipping update. +2025-10-31 17:49:28,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,261 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,261 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,262 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,263 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,264 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,265 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:28,266 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:28,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=14.71, mean=-0.2723, std=2.908, absmax=14.71 +2025-10-31 17:49:28,270 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.269, max=9.782, mean=-0.2552, std=2.324, absmax=9.782 +2025-10-31 17:49:28,781 ERROR: Encountered non-finite generator loss at iter 10384; skipping update. +2025-10-31 17:49:28,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,783 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,784 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,784 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,785 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:28,785 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:28,787 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:28,788 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:28,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.55, mean=0.1197, std=3.724, absmax=15.55 +2025-10-31 17:49:28,790 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.15, max=14.81, mean=0.1418, std=3.325, absmax=14.81 +2025-10-31 17:49:29,285 ERROR: Encountered non-finite generator loss at iter 10385; skipping update. +2025-10-31 17:49:29,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,287 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,288 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,288 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,289 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,290 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,291 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:29,292 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:29,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.53, mean=-0.1493, std=2.8, absmax=13.53 +2025-10-31 17:49:29,294 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.808, max=9.59, mean=-0.1564, std=2.169, absmax=9.808 +2025-10-31 17:49:29,787 ERROR: Encountered non-finite generator loss at iter 10386; skipping update. +2025-10-31 17:49:29,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,790 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,792 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,793 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,793 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:29,794 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:29,795 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:29,796 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:29,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=16.56, mean=-0.2979, std=3.312, absmax=16.56 +2025-10-31 17:49:29,798 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.42, max=10.72, mean=-0.2843, std=2.658, absmax=12.42 +2025-10-31 17:49:30,292 ERROR: Encountered non-finite generator loss at iter 10387; skipping update. +2025-10-31 17:49:30,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,294 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,296 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,297 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,297 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,298 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,299 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:30,301 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:30,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=15.37, mean=-0.3358, std=2.827, absmax=15.37 +2025-10-31 17:49:30,303 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.892, max=9.943, mean=-0.2747, std=2.393, absmax=9.943 +2025-10-31 17:49:30,795 ERROR: Encountered non-finite generator loss at iter 10388; skipping update. +2025-10-31 17:49:30,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,798 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,798 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,800 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,801 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:30,802 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:30,803 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:30,804 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:30,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.06, mean=-0.1074, std=2.966, absmax=15.06 +2025-10-31 17:49:30,806 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=11.72, mean=-0.1187, std=2.509, absmax=11.72 +2025-10-31 17:49:31,299 ERROR: Encountered non-finite generator loss at iter 10389; skipping update. +2025-10-31 17:49:31,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,302 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,303 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,305 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,306 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,307 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,308 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:31,309 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:31,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.26, max=11.36, mean=-0.1357, std=2.423, absmax=11.36 +2025-10-31 17:49:31,311 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.33, max=10.73, mean=-0.1088, std=2.134, absmax=10.73 +2025-10-31 17:49:31,807 ERROR: Encountered non-finite generator loss at iter 10390; skipping update. +2025-10-31 17:49:31,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,810 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,811 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,812 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,814 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:31,814 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:31,815 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:31,816 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:31,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=14.3, mean=-0.2486, std=2.764, absmax=14.3 +2025-10-31 17:49:31,818 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.167, max=10.01, mean=-0.2097, std=2.398, absmax=10.01 +2025-10-31 17:49:32,313 ERROR: Encountered non-finite generator loss at iter 10391; skipping update. +2025-10-31 17:49:32,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,316 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,318 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,319 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,320 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,320 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,321 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:32,322 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:32,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.06, mean=-0.1511, std=3.032, absmax=13.68 +2025-10-31 17:49:32,324 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.53, max=10.08, mean=-0.1575, std=2.514, absmax=11.53 +2025-10-31 17:49:32,819 ERROR: Encountered non-finite generator loss at iter 10392; skipping update. +2025-10-31 17:49:32,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,823 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,823 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,825 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,825 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:32,826 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:32,827 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:32,828 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:32,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.38, mean=-0.1114, std=3.185, absmax=14.38 +2025-10-31 17:49:32,830 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.595, max=11.66, mean=-0.1207, std=2.626, absmax=11.66 +2025-10-31 17:49:33,325 ERROR: Encountered non-finite generator loss at iter 10393; skipping update. +2025-10-31 17:49:33,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,327 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,327 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,329 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,330 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,331 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,331 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:33,332 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:33,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.68, mean=-0.3289, std=3.176, absmax=12.89 +2025-10-31 17:49:33,334 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.37, max=10.45, mean=-0.301, std=2.779, absmax=10.45 +2025-10-31 17:49:33,829 ERROR: Encountered non-finite generator loss at iter 10394; skipping update. +2025-10-31 17:49:33,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,832 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,833 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,834 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,835 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:33,836 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:33,837 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:33,838 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:33,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.37, mean=-0.2429, std=3.122, absmax=13.26 +2025-10-31 17:49:33,840 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.816, max=8.55, mean=-0.193, std=2.425, absmax=9.816 +2025-10-31 17:49:34,335 ERROR: Encountered non-finite generator loss at iter 10395; skipping update. +2025-10-31 17:49:34,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,338 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,339 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,340 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,341 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,342 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,343 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:34,345 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:34,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.49, mean=-0.1904, std=3.385, absmax=14.49 +2025-10-31 17:49:34,348 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.41, max=13.25, mean=-0.1898, std=2.877, absmax=13.25 +2025-10-31 17:49:34,858 ERROR: Encountered non-finite generator loss at iter 10396; skipping update. +2025-10-31 17:49:34,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,860 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,861 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,862 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,863 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:34,865 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:34,866 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:34,867 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:34,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.63, max=11.73, mean=-0.2564, std=3.197, absmax=15.63 +2025-10-31 17:49:34,871 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.66, max=8.312, mean=-0.2911, std=2.669, absmax=13.66 +2025-10-31 17:49:35,365 ERROR: Encountered non-finite generator loss at iter 10397; skipping update. +2025-10-31 17:49:35,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,368 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,368 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,369 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,370 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,371 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,372 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:35,373 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:35,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.38, mean=-0.1014, std=3.007, absmax=13.38 +2025-10-31 17:49:35,375 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.473, max=10.1, mean=-0.09454, std=2.321, absmax=10.1 +2025-10-31 17:49:35,870 ERROR: Encountered non-finite generator loss at iter 10398; skipping update. +2025-10-31 17:49:35,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,872 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,874 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,875 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,876 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:35,876 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:35,877 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:35,878 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:35,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.6, mean=-0.175, std=3.295, absmax=15.6 +2025-10-31 17:49:35,880 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.84, max=11.66, mean=-0.2107, std=2.837, absmax=11.66 +2025-10-31 17:49:36,374 ERROR: Encountered non-finite generator loss at iter 10399; skipping update. +2025-10-31 17:49:36,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,376 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,378 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,379 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,380 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,380 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,381 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:36,382 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:36,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.29, mean=0.01434, std=2.828, absmax=13.62 +2025-10-31 17:49:36,384 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.36, max=10.72, mean=-0.01883, std=2.274, absmax=10.72 +2025-10-31 17:49:36,878 ERROR: Encountered non-finite generator loss at iter 10400; skipping update. +2025-10-31 17:49:36,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,881 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,882 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,883 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,884 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:36,885 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:36,886 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:36,886 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:36,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.93, mean=-0.101, std=2.945, absmax=12.93 +2025-10-31 17:49:36,889 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.54, max=10.92, mean=-0.1376, std=2.546, absmax=10.92 +2025-10-31 17:49:36,890 INFO: [29..][epoch: 0, step: 10,400, lr:(1.500e-04,)] [eta: 1 day, 16:32:39, time (data): 0.504 (0.000)] +2025-10-31 17:49:37,384 ERROR: Encountered non-finite generator loss at iter 10401; skipping update. +2025-10-31 17:49:37,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,386 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,387 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,388 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,390 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,390 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,391 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:37,392 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:37,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.21, mean=-0.2502, std=2.815, absmax=14.21 +2025-10-31 17:49:37,394 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.603, max=11.36, mean=-0.2088, std=2.545, absmax=11.36 +2025-10-31 17:49:37,905 ERROR: Encountered non-finite generator loss at iter 10402; skipping update. +2025-10-31 17:49:37,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,908 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,909 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,910 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,911 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:37,912 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:37,913 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:37,914 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:37,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.02, mean=-0.1003, std=2.995, absmax=13.19 +2025-10-31 17:49:37,916 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=10.9, mean=-0.07794, std=2.618, absmax=10.9 +2025-10-31 17:49:38,428 ERROR: Encountered non-finite generator loss at iter 10403; skipping update. +2025-10-31 17:49:38,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,431 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,432 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,433 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,434 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,435 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,436 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:38,437 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:38,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.98, mean=-0.0134, std=3.173, absmax=13.98 +2025-10-31 17:49:38,439 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.182, max=12.51, mean=-0.0194, std=2.68, absmax=12.51 +2025-10-31 17:49:38,934 ERROR: Encountered non-finite generator loss at iter 10404; skipping update. +2025-10-31 17:49:38,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,936 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,938 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,939 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,940 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:38,940 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:38,941 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:38,943 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:38,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.37, mean=-0.2435, std=3.246, absmax=13.37 +2025-10-31 17:49:38,945 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.436, max=9.112, mean=-0.2268, std=2.574, absmax=9.436 +2025-10-31 17:49:39,439 ERROR: Encountered non-finite generator loss at iter 10405; skipping update. +2025-10-31 17:49:39,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,441 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,442 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,443 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,444 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,445 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,446 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:39,447 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:39,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.06, mean=-0.1426, std=2.714, absmax=14.06 +2025-10-31 17:49:39,449 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.965, max=9.893, mean=-0.08798, std=2.343, absmax=9.965 +2025-10-31 17:49:39,945 ERROR: Encountered non-finite generator loss at iter 10406; skipping update. +2025-10-31 17:49:39,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,947 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,948 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,949 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,950 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:39,951 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:39,952 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:39,953 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:39,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.1, mean=-0.176, std=2.449, absmax=12.1 +2025-10-31 17:49:39,955 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.17, max=7.959, mean=-0.2061, std=2.187, absmax=10.17 +2025-10-31 17:49:40,450 ERROR: Encountered non-finite generator loss at iter 10407; skipping update. +2025-10-31 17:49:40,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,453 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,454 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,455 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,456 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,457 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,458 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:40,459 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:40,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.9, mean=-0.2513, std=3.099, absmax=12.91 +2025-10-31 17:49:40,461 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.705, max=9.122, mean=-0.2373, std=2.597, absmax=9.705 +2025-10-31 17:49:40,954 ERROR: Encountered non-finite generator loss at iter 10408; skipping update. +2025-10-31 17:49:40,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,957 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,958 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,959 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,960 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:40,961 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:40,962 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:40,963 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:40,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=11.5, mean=-0.2191, std=2.484, absmax=14.87 +2025-10-31 17:49:40,965 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.65, max=8.35, mean=-0.1866, std=2.099, absmax=10.65 +2025-10-31 17:49:41,459 ERROR: Encountered non-finite generator loss at iter 10409; skipping update. +2025-10-31 17:49:41,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,462 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,463 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,464 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,464 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,465 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,466 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:41,467 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:41,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.95, mean=-0.3586, std=3.105, absmax=13.11 +2025-10-31 17:49:41,469 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-12.56, max=9.324, mean=-0.2867, std=2.57, absmax=12.56 +2025-10-31 17:49:41,962 ERROR: Encountered non-finite generator loss at iter 10410; skipping update. +2025-10-31 17:49:41,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,965 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,965 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,966 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,967 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:41,968 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:41,970 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:41,970 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:41,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.04, mean=0.03044, std=3.113, absmax=14.04 +2025-10-31 17:49:41,973 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.351, max=11.82, mean=0.001612, std=2.64, absmax=11.82 +2025-10-31 17:49:42,466 ERROR: Encountered non-finite generator loss at iter 10411; skipping update. +2025-10-31 17:49:42,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,469 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,470 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,470 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,471 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,473 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,473 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:42,474 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:42,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=16.68, mean=-0.1046, std=3.208, absmax=16.68 +2025-10-31 17:49:42,477 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.06, max=12.17, mean=-0.1542, std=2.625, absmax=12.17 +2025-10-31 17:49:42,971 ERROR: Encountered non-finite generator loss at iter 10412; skipping update. +2025-10-31 17:49:42,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,973 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,974 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,974 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,975 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:42,976 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:42,977 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:42,978 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:42,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.03, mean=0.2346, std=3.67, absmax=14.03 +2025-10-31 17:49:42,980 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.59, max=12.1, mean=0.2341, std=3.203, absmax=12.1 +2025-10-31 17:49:43,474 ERROR: Encountered non-finite generator loss at iter 10413; skipping update. +2025-10-31 17:49:43,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,477 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,477 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,479 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,480 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,481 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,482 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:43,483 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:43,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=11.83, mean=-0.04629, std=2.917, absmax=14.48 +2025-10-31 17:49:43,485 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.495, max=9.457, mean=-0.06582, std=2.379, absmax=9.495 +2025-10-31 17:49:43,979 ERROR: Encountered non-finite generator loss at iter 10414; skipping update. +2025-10-31 17:49:43,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,981 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,983 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,984 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,985 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:43,986 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:43,986 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:43,988 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:43,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.99, mean=-0.2766, std=2.814, absmax=13.99 +2025-10-31 17:49:43,989 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.29, max=9.549, mean=-0.2806, std=2.322, absmax=11.29 +2025-10-31 17:49:44,485 ERROR: Encountered non-finite generator loss at iter 10415; skipping update. +2025-10-31 17:49:44,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,487 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,488 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,489 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,490 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,491 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,492 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:44,493 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:44,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.66, mean=-0.1117, std=2.991, absmax=14.66 +2025-10-31 17:49:44,495 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.78, max=9.358, mean=-0.1567, std=2.562, absmax=10.78 +2025-10-31 17:49:44,988 ERROR: Encountered non-finite generator loss at iter 10416; skipping update. +2025-10-31 17:49:44,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,990 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,992 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,993 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,994 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:44,995 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:44,996 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:44,997 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:44,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.22, mean=0.2531, std=3.512, absmax=13.22 +2025-10-31 17:49:44,999 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.39, max=11.3, mean=0.2054, std=2.917, absmax=11.3 +2025-10-31 17:49:45,495 ERROR: Encountered non-finite generator loss at iter 10417; skipping update. +2025-10-31 17:49:45,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:45,498 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:45,499 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:45,500 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:45,501 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:45,502 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:45,503 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:45,504 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:45,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.97, mean=-0.1598, std=2.583, absmax=11.97 +2025-10-31 17:49:45,506 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.636, max=8.505, mean=-0.1498, std=2.102, absmax=9.636 +2025-10-31 17:49:46,000 ERROR: Encountered non-finite generator loss at iter 10418; skipping update. +2025-10-31 17:49:46,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,003 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,004 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,005 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,006 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,007 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,008 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:46,009 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:46,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=15.81, mean=0.04681, std=3.256, absmax=15.81 +2025-10-31 17:49:46,011 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-8.94, max=11.45, mean=0.01618, std=2.62, absmax=11.45 +2025-10-31 17:49:46,506 ERROR: Encountered non-finite generator loss at iter 10419; skipping update. +2025-10-31 17:49:46,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,509 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,511 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,512 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,513 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:46,514 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:46,515 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:46,516 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:46,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=11.95, mean=-0.1606, std=3.048, absmax=14.27 +2025-10-31 17:49:46,518 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.17, max=9.751, mean=-0.192, std=2.625, absmax=11.17 +2025-10-31 17:49:47,011 ERROR: Encountered non-finite generator loss at iter 10420; skipping update. +2025-10-31 17:49:47,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,014 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,015 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,017 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,017 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,018 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,019 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:47,020 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:47,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.75, mean=0.002977, std=3.044, absmax=12.75 +2025-10-31 17:49:47,023 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.24, max=9.48, mean=-0.005708, std=2.522, absmax=9.48 +2025-10-31 17:49:47,517 ERROR: Encountered non-finite generator loss at iter 10421; skipping update. +2025-10-31 17:49:47,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,520 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,520 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,521 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,521 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:47,522 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:47,523 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:47,524 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:47,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.35, mean=-0.1111, std=3.207, absmax=13.35 +2025-10-31 17:49:47,525 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.14, max=11.1, mean=-0.1277, std=2.744, absmax=11.1 +2025-10-31 17:49:48,019 ERROR: Encountered non-finite generator loss at iter 10422; skipping update. +2025-10-31 17:49:48,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,022 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,023 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,024 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,025 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,026 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,027 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:48,027 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:48,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.84, mean=0.06721, std=3.03, absmax=12.03 +2025-10-31 17:49:48,029 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.535, max=11.93, mean=0.07716, std=2.552, absmax=11.93 +2025-10-31 17:49:48,523 ERROR: Encountered non-finite generator loss at iter 10423; skipping update. +2025-10-31 17:49:48,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,525 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,526 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,527 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,528 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:48,528 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:48,529 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:48,530 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:48,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.43, mean=-0.3032, std=2.936, absmax=13.54 +2025-10-31 17:49:48,532 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.15, max=7.782, mean=-0.2658, std=2.373, absmax=11.15 +2025-10-31 17:49:49,025 ERROR: Encountered non-finite generator loss at iter 10424; skipping update. +2025-10-31 17:49:49,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,028 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,030 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,030 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,031 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,032 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,033 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:49,034 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:49,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.01, mean=-0.3292, std=2.92, absmax=11.38 +2025-10-31 17:49:49,036 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-11.03, max=9.777, mean=-0.3292, std=2.521, absmax=11.03 +2025-10-31 17:49:49,532 ERROR: Encountered non-finite generator loss at iter 10425; skipping update. +2025-10-31 17:49:49,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,536 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,537 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,538 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,539 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:49,540 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:49,541 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:49,542 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:49,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.42, mean=0.01599, std=2.934, absmax=13.42 +2025-10-31 17:49:49,545 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.04, max=10.92, mean=0.05062, std=2.643, absmax=10.92 +2025-10-31 17:49:50,040 ERROR: Encountered non-finite generator loss at iter 10426; skipping update. +2025-10-31 17:49:50,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,042 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,043 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,045 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,046 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,047 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,047 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:50,048 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:50,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=16.52, mean=0.0446, std=3.259, absmax=16.52 +2025-10-31 17:49:50,051 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.07, max=11.96, mean=-0.01083, std=2.636, absmax=11.96 +2025-10-31 17:49:50,563 ERROR: Encountered non-finite generator loss at iter 10427; skipping update. +2025-10-31 17:49:50,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,566 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,567 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,568 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,569 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:50,570 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:50,571 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:50,572 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:50,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.22, mean=-0.2362, std=2.961, absmax=14.22 +2025-10-31 17:49:50,574 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.078, max=8.188, mean=-0.2676, std=2.348, absmax=9.078 +2025-10-31 17:49:51,067 ERROR: Encountered non-finite generator loss at iter 10428; skipping update. +2025-10-31 17:49:51,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,070 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,070 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,071 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,072 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,073 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,074 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:51,075 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:51,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=15.05, mean=-0.2635, std=3.161, absmax=15.05 +2025-10-31 17:49:51,078 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-10.9, max=11.44, mean=-0.2778, std=2.561, absmax=11.44 +2025-10-31 17:49:51,572 ERROR: Encountered non-finite generator loss at iter 10429; skipping update. +2025-10-31 17:49:51,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,575 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,576 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,577 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,578 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:51,579 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:51,580 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:51,580 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:51,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.4, mean=-0.1986, std=3.186, absmax=12.4 +2025-10-31 17:49:51,582 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-13.2, max=9.981, mean=-0.2087, std=2.956, absmax=13.2 +2025-10-31 17:49:52,076 ERROR: Encountered non-finite generator loss at iter 10430; skipping update. +2025-10-31 17:49:52,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-10-31 17:49:52,079 ERROR: loss[l1_pixel_x4_opt]: nan (finite=False) +2025-10-31 17:49:52,079 ERROR: loss[lpips_x2_opt]: nan (finite=False) +2025-10-31 17:49:52,079 ERROR: loss[lpips_x4_opt]: nan (finite=False) +2025-10-31 17:49:52,080 ERROR: loss[fdl_x2_opt]: nan (finite=False) +2025-10-31 17:49:52,081 ERROR: loss[fdl_x4_opt]: nan (finite=False) +2025-10-31 17:49:52,082 ERROR: loss[l_g_gan_pixel_patch]: nan (finite=False) +2025-10-31 17:49:52,083 ERROR: tensor[output_primary]: shape=(8, 16, 64, 64), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-10-31 17:49:52,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=15.24, mean=0.07996, std=3.582, absmax=15.24 +2025-10-31 17:49:52,085 ERROR: tensor[lq]: shape=(8, 16, 16, 16), finite=True, min=-9.3, max=11.69, mean=0.03992, std=2.803, absmax=11.69 diff --git a/31_10_2025/29_archived_20251031_213726/basicsr_options.yaml b/31_10_2025/29_archived_20251031_213726/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0bc85efa72bfa0cd0b970b877313be4c966d80d6 --- /dev/null +++ b/31_10_2025/29_archived_20251031_213726/basicsr_options.yaml @@ -0,0 +1,228 @@ +# GENERATE TIME: Fri Oct 31 21:33:58 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + fft_pixel_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + fft_pixel_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' diff --git a/31_10_2025/29_archived_20251031_213726/train_29_20251031_213358.log b/31_10_2025/29_archived_20251031_213726/train_29_20251031_213358.log new file mode 100644 index 0000000000000000000000000000000000000000..9a932739da6f2f69f870916d432337c12b0632cd --- /dev/null +++ b/31_10_2025/29_archived_20251031_213726/train_29_20251031_213358.log @@ -0,0 +1,401 @@ +2025-10-31 21:33:58,143 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:33:58,143 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + fft_pixel_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + fft_pixel_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:33:59,851 INFO: Use wandb logger with id=3xjxnj3f; project=Swin2SR-Latent-SR. +2025-10-31 21:34:12,933 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 21:34:12,934 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 3 + Steps per epoch: 161951 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 21:34:12,937 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:34:12,937 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:34:13,374 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:34:14,800 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 21:34:14,801 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 21:34:15,067 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 21:34:15,110 INFO: Use EMA with decay: 0.999 +2025-10-31 21:34:15,460 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:34:15,760 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 21:34:15,811 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:34:15,812 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-10-31 21:34:15,813 INFO: Loss [L1Loss] is created. +2025-10-31 21:34:15,813 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 21:34:15,814 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:34:15,815 INFO: Initialized fft_pixel_x2_opt in pixel space (w=0.1). +2025-10-31 21:34:15,816 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:34:15,817 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-10-31 21:34:15,818 INFO: Loss [L1Loss] is created. +2025-10-31 21:34:15,819 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 21:34:15,820 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:34:15,821 INFO: Initialized fft_pixel_x4_opt in pixel space (w=0.1). +2025-10-31 21:34:15,823 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 21:34:15,824 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 21:35:33,957 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:35:36,257 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/31_10_2025/29_archived_20251031_215149/basicsr_options.yaml b/31_10_2025/29_archived_20251031_215149/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8c76b8e1edcb2db13d04fecf0b5aa76ea058593c --- /dev/null +++ b/31_10_2025/29_archived_20251031_215149/basicsr_options.yaml @@ -0,0 +1,228 @@ +# GENERATE TIME: Fri Oct 31 21:37:26 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + fft_pixel_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + fft_pixel_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' diff --git a/31_10_2025/29_archived_20251031_215149/train_29_20251031_213726.log b/31_10_2025/29_archived_20251031_215149/train_29_20251031_213726.log new file mode 100644 index 0000000000000000000000000000000000000000..fcf161b431a68f9d1bea8b6134016c961c0d2cf7 --- /dev/null +++ b/31_10_2025/29_archived_20251031_215149/train_29_20251031_213726.log @@ -0,0 +1,403 @@ +2025-10-31 21:37:26,365 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:37:26,366 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + fft_pixel_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + fft_pixel_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:37:28,065 INFO: Use wandb logger with id=75a81zu1; project=Swin2SR-Latent-SR. +2025-10-31 21:37:41,205 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 21:37:41,206 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 9 + World size (gpu number): 3 + Steps per epoch: 179945 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 21:37:41,209 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:37:41,210 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:37:41,633 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:37:44,693 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 21:37:44,694 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 21:37:44,978 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 21:37:45,022 INFO: Use EMA with decay: 0.999 +2025-10-31 21:37:45,377 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 21:37:45,692 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 21:37:45,752 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:37:45,753 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-10-31 21:37:45,754 INFO: Loss [L1Loss] is created. +2025-10-31 21:37:45,754 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 21:37:45,754 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:37:45,755 INFO: Initialized fft_pixel_x2_opt in pixel space (w=0.1). +2025-10-31 21:37:45,756 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:37:45,757 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-10-31 21:37:45,758 INFO: Loss [L1Loss] is created. +2025-10-31 21:37:45,759 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 21:37:45,760 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:37:45,761 INFO: Initialized fft_pixel_x4_opt in pixel space (w=0.1). +2025-10-31 21:37:45,763 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 21:37:45,764 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 21:38:48,052 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:38:49,881 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 21:41:29,962 INFO: [29..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 2 days, 0:22:55, time (data): 1.619 (0.014)] eagle_pixel_x2_opt: 5.3098e+00 l1_pixel_x2_opt: 5.3672e-02 fft_pixel_x2_opt: 3.9629e-02 eagle_pixel_x4_opt: 6.2888e+00 l1_pixel_x4_opt: 5.6162e-02 fft_pixel_x4_opt: 4.5999e-02 +2025-10-31 21:43:36,571 INFO: [29..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:07:40, time (data): 1.442 (0.007)] eagle_pixel_x2_opt: 8.6851e+00 l1_pixel_x2_opt: 6.7979e-02 fft_pixel_x2_opt: 5.5193e-02 eagle_pixel_x4_opt: 8.4702e+00 l1_pixel_x4_opt: 6.6319e-02 fft_pixel_x4_opt: 5.9229e-02 diff --git a/31_10_2025/29_archived_20251031_221111/basicsr_options.yaml b/31_10_2025/29_archived_20251031_221111/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0e4000b510fbb29d0ca6749c0e6251b8b02b4653 --- /dev/null +++ b/31_10_2025/29_archived_20251031_221111/basicsr_options.yaml @@ -0,0 +1,228 @@ +# GENERATE TIME: Fri Oct 31 21:51:50 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + fft_pixel_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + fft_pixel_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' diff --git a/31_10_2025/29_archived_20251031_221111/train_29_20251031_215150.log b/31_10_2025/29_archived_20251031_221111/train_29_20251031_215150.log new file mode 100644 index 0000000000000000000000000000000000000000..65e3846e5e9ace8ea2e5518ee0156f1ec15dd9cd --- /dev/null +++ b/31_10_2025/29_archived_20251031_221111/train_29_20251031_215150.log @@ -0,0 +1,249 @@ +2025-10-31 21:51:50,010 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:51:50,010 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + fft_pixel_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + fft_pixel_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + diff --git a/31_10_2025/29_archived_20251031_221934/basicsr_options.yaml b/31_10_2025/29_archived_20251031_221934/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3c20b550a44915d80afda238c8a441a00495ff75 --- /dev/null +++ b/31_10_2025/29_archived_20251031_221934/basicsr_options.yaml @@ -0,0 +1,228 @@ +# GENERATE TIME: Fri Oct 31 22:11:11 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: true + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + fft_pixel_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + fft_pixel_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '29' +name: '29' diff --git a/31_10_2025/29_archived_20251031_221934/train_29_20251031_221111.log b/31_10_2025/29_archived_20251031_221934/train_29_20251031_221111.log new file mode 100644 index 0000000000000000000000000000000000000000..cf533c73594593f8aaf2822bb661c69fb1bdc523 --- /dev/null +++ b/31_10_2025/29_archived_20251031_221934/train_29_20251031_221111.log @@ -0,0 +1,403 @@ +2025-10-31 22:11:11,137 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 22:11:11,137 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 3 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 3 + batch_size_per_gpu: 9 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 16 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/31_10_2025/28/models/net_g_12500.pth + strict_load_g: True + pretrain_network_d_latent_x2: runs/31_10_2025/28/models/net_d_12500.pth + pretrain_network_d_latent_x4: runs/31_10_2025/28/models/net_d_latent_x4_12500.pth + strict_load_d: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/29/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x2 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + fft_pixel_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + target: x4 + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + fft_pixel_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 29 + name: 29 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 22:11:12,870 INFO: Use wandb logger with id=qi3dxkpn; project=Swin2SR-Latent-SR. +2025-10-31 22:11:25,783 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-10-31 22:11:25,784 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 9 + World size (gpu number): 3 + Steps per epoch: 179945 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 22:11:25,787 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 22:11:25,787 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 22:11:26,228 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:11:27,686 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-10-31 22:11:27,686 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1-5): 5 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(16, 16), depth=6 + (blocks): ModuleList( + (0-5): 6 x SwinTransformerBlock( + dim=360, input_resolution=(16, 16), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-10-31 22:11:27,986 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params]. +2025-10-31 22:11:28,031 INFO: Use EMA with decay: 0.999 +2025-10-31 22:11:28,407 INFO: Network [SwinIRMultiHead] is created. +2025-10-31 22:11:28,730 INFO: Loading SwinIRMultiHead from runs/31_10_2025/28/models/net_g_12500.pth [key=params_ema]. +2025-10-31 22:11:28,786 INFO: Loss [Eagle_Loss] is created. +2025-10-31 22:11:28,786 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-10-31 22:11:28,787 INFO: Loss [L1Loss] is created. +2025-10-31 22:11:28,788 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-10-31 22:11:28,788 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:11:28,789 INFO: Initialized fft_pixel_x2_opt in pixel space (w=0.1). +2025-10-31 22:11:28,790 INFO: Loss [Eagle_Loss] is created. +2025-10-31 22:11:28,790 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-10-31 22:11:28,791 INFO: Loss [L1Loss] is created. +2025-10-31 22:11:28,792 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-10-31 22:11:28,793 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 22:11:28,794 INFO: Initialized fft_pixel_x4_opt in pixel space (w=0.1). +2025-10-31 22:11:28,796 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-10-31 22:11:28,797 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-10-31 22:12:28,668 INFO: Start training from epoch: 0, step: 0 +2025-10-31 22:12:30,744 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-10-31 22:15:10,768 INFO: [29..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 2 days, 0:25:52, time (data): 1.621 (0.016)] eagle_pixel_x2_opt: 5.3824e+00 l1_pixel_x2_opt: 5.2744e-02 fft_pixel_x2_opt: 4.0044e-02 eagle_pixel_x4_opt: 6.3228e+00 l1_pixel_x4_opt: 5.6724e-02 fft_pixel_x4_opt: 4.6403e-02 +2025-10-31 22:17:17,430 INFO: [29..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:09:43, time (data): 1.444 (0.008)] eagle_pixel_x2_opt: 8.6470e+00 l1_pixel_x2_opt: 6.8125e-02 fft_pixel_x2_opt: 5.5103e-02 eagle_pixel_x4_opt: 8.4379e+00 l1_pixel_x4_opt: 6.6988e-02 fft_pixel_x4_opt: 5.9254e-02 diff --git a/31_10_2025/30/basicsr_options.yaml b/31_10_2025/30/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..76386b0586b082a8d6bf601df8e61e0162247498 --- /dev/null +++ b/31_10_2025/30/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:41:44 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30' diff --git a/31_10_2025/30/train_30_20251031_214144.log b/31_10_2025/30/train_30_20251031_214144.log new file mode 100644 index 0000000000000000000000000000000000000000..1523530a68c0aae4ddc272e072dd5091b1fdc0de --- /dev/null +++ b/31_10_2025/30/train_30_20251031_214144.log @@ -0,0 +1,194 @@ +2025-10-31 21:41:44,608 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:41:44,609 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 1 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30 + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:41:46,313 INFO: Use wandb logger with id=mfd5c5pz; project=Swin2SR-Latent-SR. +2025-10-31 21:42:53,291 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:42:53,292 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 1 + Steps per epoch: 153607 + Configured training steps: 125000 + Approximate epochs to cover: 1. diff --git a/31_10_2025/30_2/basicsr_options.yaml b/31_10_2025/30_2/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..cf1094a3595902a859ea715bf78a49985a9400b4 --- /dev/null +++ b/31_10_2025/30_2/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:45:15 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_2' diff --git a/31_10_2025/30_2/train_30_2_20251031_214515.log b/31_10_2025/30_2/train_30_2_20251031_214515.log new file mode 100644 index 0000000000000000000000000000000000000000..bf4a2b5b9e559a2b139f0fa2a9dc8b6cf96c44ed --- /dev/null +++ b/31_10_2025/30_2/train_30_2_20251031_214515.log @@ -0,0 +1,564 @@ +2025-10-31 21:45:15,254 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:45:15,254 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 1 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_2 + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:45:16,912 INFO: Use wandb logger with id=uta95df3; project=Swin2SR-Latent-SR. +2025-10-31 21:45:25,846 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:45:25,847 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 1 + Steps per epoch: 153607 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 21:45:25,851 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:45:25,851 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:45:26,060 INFO: Network [Swin2SR] is created. +2025-10-31 21:45:26,276 INFO: Network: Swin2SR, with parameters: 12,120,132 +2025-10-31 21:45:26,277 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:45:26,397 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:45:26,423 INFO: Use EMA with decay: 0.999 +2025-10-31 21:45:26,605 INFO: Network [Swin2SR] is created. +2025-10-31 21:45:26,733 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:45:26,760 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:45:26,761 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:45:26,762 INFO: Loss [L1Loss] is created. +2025-10-31 21:45:26,763 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:45:26,763 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:45:26,764 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:45:26,767 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:45:27,002 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:45:27,926 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft +2025-10-31 21:46:26,867 INFO: [30_2..][epoch: 0, step: 100, lr:(2.000e-05,)] [eta: 18:55:00, time (data): 0.599 (0.003)] eagle_pixel_opt: 1.1355e+01 l1_pixel_opt: 1.4173e-01 fft_frequency_opt: 6.6547e-02 +2025-10-31 21:47:23,517 INFO: [30_2..][epoch: 0, step: 200, lr:(4.000e-05,)] [eta: 19:16:05, time (data): 0.583 (0.001)] eagle_pixel_opt: 1.3283e+01 l1_pixel_opt: 9.7382e-02 fft_frequency_opt: 6.8384e-02 +2025-10-31 21:48:19,098 INFO: [30_2..][epoch: 0, step: 300, lr:(6.000e-05,)] [eta: 19:15:09, time (data): 0.556 (0.000)] eagle_pixel_opt: 1.0731e+01 l1_pixel_opt: 8.3813e-02 fft_frequency_opt: 5.5840e-02 +2025-10-31 21:49:14,927 INFO: [30_2..][epoch: 0, step: 400, lr:(8.000e-05,)] [eta: 19:15:30, time (data): 0.557 (0.000)] eagle_pixel_opt: 1.0986e+01 l1_pixel_opt: 1.0436e-01 fft_frequency_opt: 5.6443e-02 +2025-10-31 21:50:10,563 INFO: [30_2..][epoch: 0, step: 500, lr:(9.980e-05,)] [eta: 19:14:33, time (data): 0.556 (0.000)] eagle_pixel_opt: 1.1767e+01 l1_pixel_opt: 8.3273e-02 fft_frequency_opt: 6.0123e-02 +2025-10-31 21:51:06,210 INFO: [30_2..][epoch: 0, step: 600, lr:(9.980e-05,)] [eta: 19:13:38, time (data): 0.556 (0.000)] eagle_pixel_opt: 7.0301e+00 l1_pixel_opt: 7.0374e-02 fft_frequency_opt: 4.2108e-02 +2025-10-31 21:52:02,343 INFO: [30_2..][epoch: 0, step: 700, lr:(9.980e-05,)] [eta: 19:14:10, time (data): 0.562 (0.000)] eagle_pixel_opt: 8.3356e+00 l1_pixel_opt: 6.4890e-02 fft_frequency_opt: 4.3858e-02 diff --git a/31_10_2025/30_2_archived_20251031_214515/basicsr_options.yaml b/31_10_2025/30_2_archived_20251031_214515/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9846c67ca81d146e218f91683fd5aca92fbbb45c --- /dev/null +++ b/31_10_2025/30_2_archived_20251031_214515/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:45:09 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 2500 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_2' diff --git a/31_10_2025/30_2_archived_20251031_214515/train_30_2_20251031_214509.log b/31_10_2025/30_2_archived_20251031_214515/train_30_2_20251031_214509.log new file mode 100644 index 0000000000000000000000000000000000000000..e9fd47eb208ca671b92fcd0a9ed8bd917f575dd3 --- /dev/null +++ b/31_10_2025/30_2_archived_20251031_214515/train_30_2_20251031_214509.log @@ -0,0 +1,561 @@ +2025-10-31 21:45:09,285 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:45:09,285 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 3 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_2/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 2500 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_2 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:45:11,001 INFO: Use wandb logger with id=simy6bbg; project=Swin2SR-Latent-SR. +2025-10-31 21:45:19,939 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:45:19,940 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 3 + Steps per epoch: 51203 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-10-31 21:45:19,944 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:45:19,944 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:45:20,070 INFO: Network [Swin2SR] is created. +2025-10-31 21:45:21,578 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,120,132 +2025-10-31 21:45:21,579 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:45:21,898 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:45:21,925 INFO: Use EMA with decay: 0.999 +2025-10-31 21:45:22,039 INFO: Network [Swin2SR] is created. +2025-10-31 21:45:22,150 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:45:22,177 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:45:22,178 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:45:22,179 INFO: Loss [L1Loss] is created. +2025-10-31 21:45:22,180 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:45:22,181 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:45:22,182 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:45:22,184 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:47:09,076 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:47:09,939 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft +2025-10-31 21:48:14,886 INFO: [30_2..][epoch: 0, step: 100, lr:(2.000e-05,)] [eta: 19:51:20, time (data): 0.658 (0.003)] eagle_pixel_opt: 1.2456e+01 l1_pixel_opt: 1.4695e-01 fft_frequency_opt: 7.2339e-02 +2025-10-31 21:49:12,729 INFO: [30_2..][epoch: 0, step: 200, lr:(4.000e-05,)] [eta: 19:56:43, time (data): 0.618 (0.002)] eagle_pixel_opt: 1.2125e+01 l1_pixel_opt: 1.0400e-01 fft_frequency_opt: 6.6206e-02 +2025-10-31 21:50:10,536 INFO: [30_2..][epoch: 0, step: 300, lr:(6.000e-05,)] [eta: 19:57:38, time (data): 0.578 (0.000)] eagle_pixel_opt: 1.3450e+01 l1_pixel_opt: 9.7222e-02 fft_frequency_opt: 6.3081e-02 +2025-10-31 21:51:07,973 INFO: [30_2..][epoch: 0, step: 400, lr:(8.000e-05,)] [eta: 19:55:42, time (data): 0.576 (0.000)] eagle_pixel_opt: 1.1850e+01 l1_pixel_opt: 9.1208e-02 fft_frequency_opt: 5.9190e-02 diff --git a/31_10_2025/30_3/basicsr_options.yaml b/31_10_2025/30_3/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5989266eff07d138d3ad5b1b3fcecf7f1daee28a --- /dev/null +++ b/31_10_2025/30_3/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:52:56 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_3' diff --git a/31_10_2025/30_3/train_30_3_20251031_215256.log b/31_10_2025/30_3/train_30_3_20251031_215256.log new file mode 100644 index 0000000000000000000000000000000000000000..7b1f4d62ef2c43bfd12316b1833da404483003f9 --- /dev/null +++ b/31_10_2025/30_3/train_30_3_20251031_215256.log @@ -0,0 +1,557 @@ +2025-10-31 21:52:56,037 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:52:56,037 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 1 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_3 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_3/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_3/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_3 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_3/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_3 + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:52:57,745 INFO: Use wandb logger with id=8iim43s3; project=Swin2SR-Latent-SR. +2025-10-31 21:53:05,720 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:53:05,722 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 1 + Steps per epoch: 153607 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 21:53:05,728 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:53:05,728 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:53:05,944 INFO: Network [Swin2SR] is created. +2025-10-31 21:53:06,150 INFO: Network: Swin2SR, with parameters: 12,120,132 +2025-10-31 21:53:06,151 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:53:06,287 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:53:06,311 INFO: Use EMA with decay: 0.999 +2025-10-31 21:53:06,478 INFO: Network [Swin2SR] is created. +2025-10-31 21:53:06,606 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:53:06,632 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:53:06,633 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:53:06,634 INFO: Loss [L1Loss] is created. +2025-10-31 21:53:06,635 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:53:06,636 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:53:06,637 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:53:06,639 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:53:06,864 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:53:07,635 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft diff --git a/31_10_2025/30_4/basicsr_options.yaml b/31_10_2025/30_4/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e8a36b7785e7cd4be21900cc0ed0ed7944518e8a --- /dev/null +++ b/31_10_2025/30_4/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:54:28 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_4' diff --git a/31_10_2025/30_4/train_30_4_20251031_215428.log b/31_10_2025/30_4/train_30_4_20251031_215428.log new file mode 100644 index 0000000000000000000000000000000000000000..7c9d238d75fdc85732c40c955d96292f78d46aa3 --- /dev/null +++ b/31_10_2025/30_4/train_30_4_20251031_215428.log @@ -0,0 +1,1429 @@ +2025-10-31 21:54:28,784 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:54:28,784 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 1 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_4 + dist: False + rank: 0 + world_size: 1 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:54:30,651 INFO: Use wandb logger with id=f4vqr9tw; project=Swin2SR-Latent-SR. +2025-10-31 21:54:39,282 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:54:39,282 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 1 + Steps per epoch: 153607 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-10-31 21:54:39,286 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:54:39,286 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:54:39,508 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:39,818 INFO: Network: Swin2SR, with parameters: 12,120,132 +2025-10-31 21:54:39,819 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:54:39,946 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:54:39,971 INFO: Use EMA with decay: 0.999 +2025-10-31 21:54:40,152 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:40,289 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:54:40,317 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:54:40,318 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:54:40,319 INFO: Loss [L1Loss] is created. +2025-10-31 21:54:40,320 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:54:40,321 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:54:40,322 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:54:40,324 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:54:40,549 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:54:41,322 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft +2025-10-31 21:55:40,525 INFO: [30_4..][epoch: 0, step: 100, lr:(2.000e-05,)] [eta: 19:01:24, time (data): 0.600 (0.002)] eagle_pixel_opt: 1.1355e+01 l1_pixel_opt: 1.4173e-01 fft_frequency_opt: 6.6547e-02 +2025-10-31 21:56:36,566 INFO: [30_4..][epoch: 0, step: 200, lr:(4.000e-05,)] [eta: 19:13:00, time (data): 0.580 (0.001)] eagle_pixel_opt: 1.3284e+01 l1_pixel_opt: 9.7374e-02 fft_frequency_opt: 6.8383e-02 +2025-10-31 21:57:32,093 INFO: [30_4..][epoch: 0, step: 300, lr:(6.000e-05,)] [eta: 19:12:43, time (data): 0.555 (0.000)] eagle_pixel_opt: 1.0731e+01 l1_pixel_opt: 8.3841e-02 fft_frequency_opt: 5.5839e-02 +2025-10-31 21:58:27,768 INFO: [30_4..][epoch: 0, step: 400, lr:(8.000e-05,)] [eta: 19:12:53, time (data): 0.556 (0.000)] eagle_pixel_opt: 1.0982e+01 l1_pixel_opt: 1.0384e-01 fft_frequency_opt: 5.6420e-02 +2025-10-31 21:59:23,612 INFO: [30_4..][epoch: 0, step: 500, lr:(9.980e-05,)] [eta: 19:13:19, time (data): 0.558 (0.000)] eagle_pixel_opt: 1.1258e+01 l1_pixel_opt: 8.2149e-02 fft_frequency_opt: 5.7711e-02 +2025-10-31 22:00:19,400 INFO: [30_4..][epoch: 0, step: 600, lr:(9.980e-05,)] [eta: 19:13:06, time (data): 0.558 (0.000)] eagle_pixel_opt: 7.6258e+00 l1_pixel_opt: 7.2974e-02 fft_frequency_opt: 4.4251e-02 +2025-10-31 22:01:15,562 INFO: [30_4..][epoch: 0, step: 700, lr:(9.980e-05,)] [eta: 19:13:47, time (data): 0.562 (0.000)] eagle_pixel_opt: 8.3975e+00 l1_pixel_opt: 6.5565e-02 fft_frequency_opt: 4.4170e-02 +2025-10-31 22:02:11,232 INFO: [30_4..][epoch: 0, step: 800, lr:(9.980e-05,)] [eta: 19:12:48, time (data): 0.559 (0.000)] eagle_pixel_opt: 9.7883e+00 l1_pixel_opt: 8.2051e-02 fft_frequency_opt: 5.2134e-02 +2025-10-31 22:03:07,118 INFO: [30_4..][epoch: 0, step: 900, lr:(9.980e-05,)] [eta: 19:12:19, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.5696e+00 l1_pixel_opt: 6.4224e-02 fft_frequency_opt: 4.2340e-02 +2025-10-31 22:04:02,661 INFO: [30_4..][epoch: 0, step: 1,000, lr:(9.980e-05,)] [eta: 19:11:02, time (data): 0.557 (0.000)] eagle_pixel_opt: 1.2715e+01 l1_pixel_opt: 8.4786e-02 fft_frequency_opt: 5.6029e-02 +2025-10-31 22:04:58,260 INFO: [30_4..][epoch: 0, step: 1,100, lr:(9.980e-05,)] [eta: 19:09:55, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.4560e+00 l1_pixel_opt: 6.1234e-02 fft_frequency_opt: 3.9319e-02 +2025-10-31 22:05:53,813 INFO: [30_4..][epoch: 0, step: 1,200, lr:(9.980e-05,)] [eta: 19:08:46, time (data): 0.556 (0.000)] eagle_pixel_opt: 9.8510e+00 l1_pixel_opt: 6.6662e-02 fft_frequency_opt: 4.5643e-02 +2025-10-31 22:06:49,391 INFO: [30_4..][epoch: 0, step: 1,300, lr:(9.980e-05,)] [eta: 19:07:41, time (data): 0.556 (0.000)] eagle_pixel_opt: 1.2053e+01 l1_pixel_opt: 7.6267e-02 fft_frequency_opt: 5.3523e-02 +2025-10-31 22:07:45,893 INFO: [30_4..][epoch: 0, step: 1,400, lr:(9.980e-05,)] [eta: 19:07:59, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.9504e+00 l1_pixel_opt: 6.0641e-02 fft_frequency_opt: 4.3104e-02 +2025-10-31 22:08:41,475 INFO: [30_4..][epoch: 0, step: 1,500, lr:(9.980e-05,)] [eta: 19:06:51, time (data): 0.556 (0.000)] eagle_pixel_opt: 8.6092e+00 l1_pixel_opt: 6.3233e-02 fft_frequency_opt: 4.2491e-02 +2025-10-31 22:09:38,956 INFO: [30_4..][epoch: 0, step: 1,600, lr:(9.980e-05,)] [eta: 19:08:11, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.0792e+00 l1_pixel_opt: 4.6386e-02 fft_frequency_opt: 3.0253e-02 +2025-10-31 22:10:34,392 INFO: [30_4..][epoch: 0, step: 1,700, lr:(9.980e-05,)] [eta: 19:06:47, time (data): 0.552 (0.000)] eagle_pixel_opt: 9.2567e+00 l1_pixel_opt: 7.0627e-02 fft_frequency_opt: 4.8188e-02 +2025-10-31 22:11:29,877 INFO: [30_4..][epoch: 0, step: 1,800, lr:(9.980e-05,)] [eta: 19:05:29, time (data): 0.554 (0.000)] eagle_pixel_opt: 8.6113e+00 l1_pixel_opt: 6.5957e-02 fft_frequency_opt: 4.4697e-02 +2025-10-31 22:12:25,553 INFO: [30_4..][epoch: 0, step: 1,900, lr:(9.980e-05,)] [eta: 19:04:26, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.8864e+00 l1_pixel_opt: 5.3712e-02 fft_frequency_opt: 3.6782e-02 +2025-10-31 22:13:22,945 INFO: [30_4..][epoch: 0, step: 2,000, lr:(9.980e-05,)] [eta: 19:05:09, time (data): 0.566 (0.000)] eagle_pixel_opt: 7.6009e+00 l1_pixel_opt: 5.5695e-02 fft_frequency_opt: 4.0870e-02 +2025-10-31 22:14:18,787 INFO: [30_4..][epoch: 0, step: 2,100, lr:(9.980e-05,)] [eta: 19:04:12, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.9173e+00 l1_pixel_opt: 5.5684e-02 fft_frequency_opt: 3.8748e-02 +2025-10-31 22:15:14,329 INFO: [30_4..][epoch: 0, step: 2,200, lr:(9.980e-05,)] [eta: 19:02:59, time (data): 0.557 (0.000)] eagle_pixel_opt: 8.8761e+00 l1_pixel_opt: 6.5314e-02 fft_frequency_opt: 4.4019e-02 +2025-10-31 22:16:09,841 INFO: [30_4..][epoch: 0, step: 2,300, lr:(9.980e-05,)] [eta: 19:01:45, time (data): 0.555 (0.000)] eagle_pixel_opt: 8.7659e+00 l1_pixel_opt: 5.9339e-02 fft_frequency_opt: 4.2309e-02 +2025-10-31 22:17:05,509 INFO: [30_4..][epoch: 0, step: 2,400, lr:(9.980e-05,)] [eta: 19:00:41, time (data): 0.556 (0.000)] eagle_pixel_opt: 9.6456e+00 l1_pixel_opt: 5.7990e-02 fft_frequency_opt: 4.6242e-02 +2025-10-31 22:18:01,007 INFO: [30_4..][epoch: 0, step: 2,500, lr:(9.980e-05,)] [eta: 18:59:29, time (data): 0.555 (0.000)] eagle_pixel_opt: 8.1240e+00 l1_pixel_opt: 5.7918e-02 fft_frequency_opt: 4.3311e-02 +2025-10-31 22:18:56,700 INFO: [30_4..][epoch: 0, step: 2,600, lr:(9.980e-05,)] [eta: 18:58:27, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.9825e+00 l1_pixel_opt: 4.6487e-02 fft_frequency_opt: 3.4151e-02 +2025-10-31 22:19:52,251 INFO: [30_4..][epoch: 0, step: 2,700, lr:(9.980e-05,)] [eta: 18:57:20, time (data): 0.555 (0.000)] eagle_pixel_opt: 6.2319e+00 l1_pixel_opt: 5.0394e-02 fft_frequency_opt: 3.4066e-02 +2025-10-31 22:20:47,794 INFO: [30_4..][epoch: 0, step: 2,800, lr:(9.980e-05,)] [eta: 18:56:13, time (data): 0.555 (0.000)] eagle_pixel_opt: 9.1630e+00 l1_pixel_opt: 5.3700e-02 fft_frequency_opt: 3.9619e-02 +2025-10-31 22:21:43,354 INFO: [30_4..][epoch: 0, step: 2,900, lr:(9.980e-05,)] [eta: 18:55:08, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.1574e+00 l1_pixel_opt: 4.5275e-02 fft_frequency_opt: 3.1134e-02 +2025-10-31 22:22:39,323 INFO: [30_4..][epoch: 0, step: 3,000, lr:(9.980e-05,)] [eta: 18:54:20, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.5517e+00 l1_pixel_opt: 4.5655e-02 fft_frequency_opt: 3.4113e-02 +2025-10-31 22:23:35,231 INFO: [30_4..][epoch: 0, step: 3,100, lr:(9.980e-05,)] [eta: 18:53:28, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.7462e+00 l1_pixel_opt: 6.7764e-02 fft_frequency_opt: 4.5783e-02 +2025-10-31 22:24:31,283 INFO: [30_4..][epoch: 0, step: 3,200, lr:(9.980e-05,)] [eta: 18:52:43, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.3996e+00 l1_pixel_opt: 5.7951e-02 fft_frequency_opt: 4.0731e-02 +2025-10-31 22:25:27,531 INFO: [30_4..][epoch: 0, step: 3,300, lr:(9.980e-05,)] [eta: 18:52:03, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.2856e+00 l1_pixel_opt: 5.4235e-02 fft_frequency_opt: 3.6693e-02 +2025-10-31 22:26:23,530 INFO: [30_4..][epoch: 0, step: 3,400, lr:(9.980e-05,)] [eta: 18:51:14, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.4559e+00 l1_pixel_opt: 6.0230e-02 fft_frequency_opt: 4.1603e-02 +2025-10-31 22:27:19,586 INFO: [30_4..][epoch: 0, step: 3,500, lr:(9.980e-05,)] [eta: 18:50:27, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.6822e+00 l1_pixel_opt: 5.0558e-02 fft_frequency_opt: 3.8676e-02 +2025-10-31 22:28:15,842 INFO: [30_4..][epoch: 0, step: 3,600, lr:(9.980e-05,)] [eta: 18:49:45, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1074e+00 l1_pixel_opt: 4.6950e-02 fft_frequency_opt: 3.3456e-02 +2025-10-31 22:29:11,744 INFO: [30_4..][epoch: 0, step: 3,700, lr:(9.980e-05,)] [eta: 18:48:52, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.4729e+00 l1_pixel_opt: 4.8387e-02 fft_frequency_opt: 3.4489e-02 +2025-10-31 22:30:07,437 INFO: [30_4..][epoch: 0, step: 3,800, lr:(9.980e-05,)] [eta: 18:47:51, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.9353e+00 l1_pixel_opt: 4.2577e-02 fft_frequency_opt: 3.0307e-02 +2025-10-31 22:31:03,308 INFO: [30_4..][epoch: 0, step: 3,900, lr:(9.980e-05,)] [eta: 18:46:56, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.3069e+00 l1_pixel_opt: 4.8747e-02 fft_frequency_opt: 3.7034e-02 +2025-10-31 22:31:59,227 INFO: [30_4..][epoch: 0, step: 4,000, lr:(9.980e-05,)] [eta: 18:46:03, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.5353e+00 l1_pixel_opt: 4.3546e-02 fft_frequency_opt: 3.1252e-02 +2025-10-31 22:32:55,581 INFO: [30_4..][epoch: 0, step: 4,100, lr:(9.980e-05,)] [eta: 18:45:22, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.7328e+00 l1_pixel_opt: 5.8331e-02 fft_frequency_opt: 4.1303e-02 +2025-10-31 22:33:51,823 INFO: [30_4..][epoch: 0, step: 4,200, lr:(9.980e-05,)] [eta: 18:44:38, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.1329e+00 l1_pixel_opt: 4.9653e-02 fft_frequency_opt: 3.2275e-02 +2025-10-31 22:34:48,587 INFO: [30_4..][epoch: 0, step: 4,300, lr:(9.980e-05,)] [eta: 18:44:07, time (data): 0.569 (0.000)] eagle_pixel_opt: 7.2207e+00 l1_pixel_opt: 5.5071e-02 fft_frequency_opt: 4.0099e-02 +2025-10-31 22:35:44,871 INFO: [30_4..][epoch: 0, step: 4,400, lr:(9.980e-05,)] [eta: 18:43:22, time (data): 0.566 (0.000)] eagle_pixel_opt: 8.5666e+00 l1_pixel_opt: 6.1764e-02 fft_frequency_opt: 4.2216e-02 +2025-10-31 22:36:41,067 INFO: [30_4..][epoch: 0, step: 4,500, lr:(9.980e-05,)] [eta: 18:42:35, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.6891e+00 l1_pixel_opt: 5.0296e-02 fft_frequency_opt: 3.4666e-02 +2025-10-31 22:37:37,035 INFO: [30_4..][epoch: 0, step: 4,600, lr:(9.980e-05,)] [eta: 18:41:41, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.7970e+00 l1_pixel_opt: 5.2930e-02 fft_frequency_opt: 3.9092e-02 +2025-10-31 22:38:33,290 INFO: [30_4..][epoch: 0, step: 4,700, lr:(9.980e-05,)] [eta: 18:40:54, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.6767e+00 l1_pixel_opt: 4.5449e-02 fft_frequency_opt: 3.2115e-02 +2025-10-31 22:39:29,644 INFO: [30_4..][epoch: 0, step: 4,800, lr:(9.980e-05,)] [eta: 18:40:09, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.3173e+00 l1_pixel_opt: 4.4300e-02 fft_frequency_opt: 3.2086e-02 +2025-10-31 22:40:25,661 INFO: [30_4..][epoch: 0, step: 4,900, lr:(9.980e-05,)] [eta: 18:39:16, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.6299e+00 l1_pixel_opt: 5.0829e-02 fft_frequency_opt: 3.7743e-02 +2025-10-31 22:41:22,327 INFO: [30_4..][epoch: 0, step: 5,000, lr:(9.980e-05,)] [eta: 18:38:38, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.8421e+00 l1_pixel_opt: 4.4459e-02 fft_frequency_opt: 2.9483e-02 +2025-10-31 22:41:22,328 INFO: Saving models and training states. +2025-10-31 22:43:31,069 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.3190 Best: 0.3190 @ 5000 iter + # l2_latent: 0.1483 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 31.6144 Best: 31.6144 @ 5000 iter + +2025-10-31 22:44:28,198 INFO: [30_4..][epoch: 0, step: 5,100, lr:(9.980e-05,)] [eta: 19:28:36, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.2920e+00 l1_pixel_opt: 4.4567e-02 fft_frequency_opt: 3.1123e-02 +2025-10-31 22:45:24,398 INFO: [30_4..][epoch: 0, step: 5,200, lr:(9.980e-05,)] [eta: 19:26:45, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.6181e+00 l1_pixel_opt: 6.1105e-02 fft_frequency_opt: 4.1747e-02 +2025-10-31 22:46:20,410 INFO: [30_4..][epoch: 0, step: 5,300, lr:(9.980e-05,)] [eta: 19:24:52, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.4529e+00 l1_pixel_opt: 5.2058e-02 fft_frequency_opt: 3.6066e-02 +2025-10-31 22:47:16,816 INFO: [30_4..][epoch: 0, step: 5,400, lr:(9.980e-05,)] [eta: 19:23:10, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.1243e+00 l1_pixel_opt: 4.4190e-02 fft_frequency_opt: 3.0938e-02 +2025-10-31 22:48:13,315 INFO: [30_4..][epoch: 0, step: 5,500, lr:(9.980e-05,)] [eta: 19:21:31, time (data): 0.566 (0.000)] eagle_pixel_opt: 7.7290e+00 l1_pixel_opt: 6.3695e-02 fft_frequency_opt: 4.1283e-02 +2025-10-31 22:49:09,433 INFO: [30_4..][epoch: 0, step: 5,600, lr:(9.980e-05,)] [eta: 19:19:46, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.8617e+00 l1_pixel_opt: 5.7271e-02 fft_frequency_opt: 4.0851e-02 +2025-10-31 22:50:06,334 INFO: [30_4..][epoch: 0, step: 5,700, lr:(9.980e-05,)] [eta: 19:18:19, time (data): 0.571 (0.000)] eagle_pixel_opt: 7.3818e+00 l1_pixel_opt: 5.4608e-02 fft_frequency_opt: 3.7168e-02 +2025-10-31 22:51:03,300 INFO: [30_4..][epoch: 0, step: 5,800, lr:(9.980e-05,)] [eta: 19:16:54, time (data): 0.570 (0.000)] eagle_pixel_opt: 7.0187e+00 l1_pixel_opt: 5.6482e-02 fft_frequency_opt: 3.8006e-02 +2025-10-31 22:51:59,504 INFO: [30_4..][epoch: 0, step: 5,900, lr:(9.980e-05,)] [eta: 19:15:15, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.0954e+00 l1_pixel_opt: 5.6089e-02 fft_frequency_opt: 3.4965e-02 +2025-10-31 22:52:55,891 INFO: [30_4..][epoch: 0, step: 6,000, lr:(9.980e-05,)] [eta: 19:13:41, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.6749e+00 l1_pixel_opt: 5.8382e-02 fft_frequency_opt: 3.6250e-02 +2025-10-31 22:53:51,997 INFO: [30_4..][epoch: 0, step: 6,100, lr:(9.980e-05,)] [eta: 19:12:02, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.9641e+00 l1_pixel_opt: 5.0967e-02 fft_frequency_opt: 3.2496e-02 +2025-10-31 22:54:48,232 INFO: [30_4..][epoch: 0, step: 6,200, lr:(9.980e-05,)] [eta: 19:10:28, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.5689e+00 l1_pixel_opt: 5.2280e-02 fft_frequency_opt: 3.6612e-02 +2025-10-31 22:55:44,480 INFO: [30_4..][epoch: 0, step: 6,300, lr:(9.980e-05,)] [eta: 19:08:54, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.5374e+00 l1_pixel_opt: 4.5452e-02 fft_frequency_opt: 3.5781e-02 +2025-10-31 22:56:40,802 INFO: [30_4..][epoch: 0, step: 6,400, lr:(9.980e-05,)] [eta: 19:07:24, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.2751e+00 l1_pixel_opt: 4.0910e-02 fft_frequency_opt: 3.0291e-02 +2025-10-31 22:57:36,941 INFO: [30_4..][epoch: 0, step: 6,500, lr:(9.980e-05,)] [eta: 19:05:51, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1651e+00 l1_pixel_opt: 4.1921e-02 fft_frequency_opt: 2.9881e-02 +2025-10-31 22:58:33,561 INFO: [30_4..][epoch: 0, step: 6,600, lr:(9.980e-05,)] [eta: 19:04:28, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.5415e+00 l1_pixel_opt: 4.2327e-02 fft_frequency_opt: 2.8505e-02 +2025-10-31 22:59:29,822 INFO: [30_4..][epoch: 0, step: 6,700, lr:(9.980e-05,)] [eta: 19:02:59, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.3029e+00 l1_pixel_opt: 4.6936e-02 fft_frequency_opt: 3.0709e-02 +2025-10-31 23:00:27,760 INFO: [30_4..][epoch: 0, step: 6,800, lr:(9.980e-05,)] [eta: 19:02:01, time (data): 0.573 (0.000)] eagle_pixel_opt: 6.1368e+00 l1_pixel_opt: 4.4758e-02 fft_frequency_opt: 3.3753e-02 +2025-10-31 23:01:24,067 INFO: [30_4..][epoch: 0, step: 6,900, lr:(9.980e-05,)] [eta: 19:00:34, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.8041e+00 l1_pixel_opt: 4.3934e-02 fft_frequency_opt: 3.1650e-02 +2025-10-31 23:02:20,341 INFO: [30_4..][epoch: 0, step: 7,000, lr:(9.980e-05,)] [eta: 18:59:08, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.7125e+00 l1_pixel_opt: 4.8384e-02 fft_frequency_opt: 3.6292e-02 +2025-10-31 23:03:16,830 INFO: [30_4..][epoch: 0, step: 7,100, lr:(9.980e-05,)] [eta: 18:57:46, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.8487e+00 l1_pixel_opt: 5.3595e-02 fft_frequency_opt: 3.3612e-02 +2025-10-31 23:04:13,045 INFO: [30_4..][epoch: 0, step: 7,200, lr:(9.980e-05,)] [eta: 18:56:21, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.6540e+00 l1_pixel_opt: 3.7080e-02 fft_frequency_opt: 2.8430e-02 +2025-10-31 23:05:09,210 INFO: [30_4..][epoch: 0, step: 7,300, lr:(9.980e-05,)] [eta: 18:54:55, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.1411e+00 l1_pixel_opt: 4.8910e-02 fft_frequency_opt: 3.2496e-02 +2025-10-31 23:06:05,209 INFO: [30_4..][epoch: 0, step: 7,400, lr:(9.980e-05,)] [eta: 18:53:28, time (data): 0.561 (0.000)] eagle_pixel_opt: 3.9431e+00 l1_pixel_opt: 3.7328e-02 fft_frequency_opt: 2.6284e-02 +2025-10-31 23:07:01,380 INFO: [30_4..][epoch: 0, step: 7,500, lr:(9.980e-05,)] [eta: 18:52:04, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.5975e+00 l1_pixel_opt: 5.0026e-02 fft_frequency_opt: 3.4910e-02 +2025-10-31 23:07:58,577 INFO: [30_4..][epoch: 0, step: 7,600, lr:(9.980e-05,)] [eta: 18:50:57, time (data): 0.568 (0.000)] eagle_pixel_opt: 7.0869e+00 l1_pixel_opt: 5.5566e-02 fft_frequency_opt: 3.7321e-02 +2025-10-31 23:08:54,530 INFO: [30_4..][epoch: 0, step: 7,700, lr:(9.980e-05,)] [eta: 18:49:31, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.3694e+00 l1_pixel_opt: 4.7195e-02 fft_frequency_opt: 3.3870e-02 +2025-10-31 23:09:50,526 INFO: [30_4..][epoch: 0, step: 7,800, lr:(9.980e-05,)] [eta: 18:48:06, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.2769e+00 l1_pixel_opt: 4.2024e-02 fft_frequency_opt: 3.3654e-02 +2025-10-31 23:10:46,775 INFO: [30_4..][epoch: 0, step: 7,900, lr:(9.980e-05,)] [eta: 18:46:46, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.6883e+00 l1_pixel_opt: 3.6109e-02 fft_frequency_opt: 2.6959e-02 +2025-10-31 23:11:43,286 INFO: [30_4..][epoch: 0, step: 8,000, lr:(9.980e-05,)] [eta: 18:45:31, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.4175e+00 l1_pixel_opt: 3.3111e-02 fft_frequency_opt: 2.6135e-02 +2025-10-31 23:12:39,638 INFO: [30_4..][epoch: 0, step: 8,100, lr:(9.980e-05,)] [eta: 18:44:13, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.8770e+00 l1_pixel_opt: 4.7959e-02 fft_frequency_opt: 3.3217e-02 +2025-10-31 23:13:35,797 INFO: [30_4..][epoch: 0, step: 8,200, lr:(9.980e-05,)] [eta: 18:42:54, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.1299e+00 l1_pixel_opt: 3.9764e-02 fft_frequency_opt: 3.0626e-02 +2025-10-31 23:14:34,854 INFO: [30_4..][epoch: 0, step: 8,300, lr:(9.980e-05,)] [eta: 18:42:15, time (data): 0.611 (0.000)] eagle_pixel_opt: 5.9327e+00 l1_pixel_opt: 3.7616e-02 fft_frequency_opt: 2.8883e-02 +2025-10-31 23:15:31,099 INFO: [30_4..][epoch: 0, step: 8,400, lr:(9.980e-05,)] [eta: 18:40:57, time (data): 0.580 (0.000)] eagle_pixel_opt: 6.7373e+00 l1_pixel_opt: 4.5893e-02 fft_frequency_opt: 3.5974e-02 +2025-10-31 23:16:27,445 INFO: [30_4..][epoch: 0, step: 8,500, lr:(9.980e-05,)] [eta: 18:39:41, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.9568e+00 l1_pixel_opt: 5.0355e-02 fft_frequency_opt: 3.5603e-02 +2025-10-31 23:17:23,757 INFO: [30_4..][epoch: 0, step: 8,600, lr:(9.980e-05,)] [eta: 18:38:25, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.2832e+00 l1_pixel_opt: 4.2484e-02 fft_frequency_opt: 2.7847e-02 +2025-10-31 23:18:21,506 INFO: [30_4..][epoch: 0, step: 8,700, lr:(9.980e-05,)] [eta: 18:37:29, time (data): 0.583 (0.000)] eagle_pixel_opt: 4.3444e+00 l1_pixel_opt: 4.4094e-02 fft_frequency_opt: 2.9762e-02 +2025-10-31 23:19:18,409 INFO: [30_4..][epoch: 0, step: 8,800, lr:(9.980e-05,)] [eta: 18:36:21, time (data): 0.574 (0.000)] eagle_pixel_opt: 5.6859e+00 l1_pixel_opt: 4.4686e-02 fft_frequency_opt: 3.2155e-02 +2025-10-31 23:20:15,577 INFO: [30_4..][epoch: 0, step: 8,900, lr:(9.980e-05,)] [eta: 18:35:18, time (data): 0.575 (0.000)] eagle_pixel_opt: 5.4405e+00 l1_pixel_opt: 3.7520e-02 fft_frequency_opt: 2.9557e-02 +2025-10-31 23:21:12,154 INFO: [30_4..][epoch: 0, step: 9,000, lr:(9.980e-05,)] [eta: 18:34:06, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.9345e+00 l1_pixel_opt: 5.2565e-02 fft_frequency_opt: 3.4456e-02 +2025-10-31 23:22:08,704 INFO: [30_4..][epoch: 0, step: 9,100, lr:(9.980e-05,)] [eta: 18:32:55, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.4598e+00 l1_pixel_opt: 3.6510e-02 fft_frequency_opt: 2.9604e-02 +2025-10-31 23:23:05,589 INFO: [30_4..][epoch: 0, step: 9,200, lr:(9.980e-05,)] [eta: 18:31:48, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.1831e+00 l1_pixel_opt: 3.6748e-02 fft_frequency_opt: 2.7628e-02 +2025-10-31 23:24:01,981 INFO: [30_4..][epoch: 0, step: 9,300, lr:(9.980e-05,)] [eta: 18:30:35, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.3597e+00 l1_pixel_opt: 4.8448e-02 fft_frequency_opt: 3.3724e-02 +2025-10-31 23:24:58,511 INFO: [30_4..][epoch: 0, step: 9,400, lr:(9.980e-05,)] [eta: 18:29:25, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.4685e+00 l1_pixel_opt: 4.3728e-02 fft_frequency_opt: 3.2333e-02 +2025-10-31 23:25:55,154 INFO: [30_4..][epoch: 0, step: 9,500, lr:(9.980e-05,)] [eta: 18:28:16, time (data): 0.567 (0.000)] eagle_pixel_opt: 6.5978e+00 l1_pixel_opt: 5.2681e-02 fft_frequency_opt: 3.5827e-02 +2025-10-31 23:26:51,471 INFO: [30_4..][epoch: 0, step: 9,600, lr:(9.980e-05,)] [eta: 18:27:03, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.6309e+00 l1_pixel_opt: 5.1017e-02 fft_frequency_opt: 3.7623e-02 +2025-10-31 23:27:47,702 INFO: [30_4..][epoch: 0, step: 9,700, lr:(9.980e-05,)] [eta: 18:25:50, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.9335e+00 l1_pixel_opt: 5.2887e-02 fft_frequency_opt: 3.6550e-02 +2025-10-31 23:28:44,007 INFO: [30_4..][epoch: 0, step: 9,800, lr:(9.980e-05,)] [eta: 18:24:38, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.2858e+00 l1_pixel_opt: 4.8333e-02 fft_frequency_opt: 3.6009e-02 +2025-10-31 23:29:40,814 INFO: [30_4..][epoch: 0, step: 9,900, lr:(9.980e-05,)] [eta: 18:23:32, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.8433e+00 l1_pixel_opt: 3.7590e-02 fft_frequency_opt: 2.8150e-02 +2025-10-31 23:30:37,888 INFO: [30_4..][epoch: 0, step: 10,000, lr:(9.980e-05,)] [eta: 18:22:29, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.4321e+00 l1_pixel_opt: 4.3748e-02 fft_frequency_opt: 3.4631e-02 +2025-10-31 23:30:37,889 INFO: Saving models and training states. +2025-10-31 23:32:49,183 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2887 Best: 0.3190 @ 5000 iter + # l2_latent: 0.1265 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 32.4921 Best: 32.4921 @ 10000 iter + +2025-10-31 23:33:45,502 INFO: [30_4..][epoch: 0, step: 10,100, lr:(9.980e-05,)] [eta: 18:46:11, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.4219e+00 l1_pixel_opt: 4.9611e-02 fft_frequency_opt: 3.6048e-02 +2025-10-31 23:34:41,733 INFO: [30_4..][epoch: 0, step: 10,200, lr:(9.980e-05,)] [eta: 18:44:43, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4032e+00 l1_pixel_opt: 5.3438e-02 fft_frequency_opt: 3.3663e-02 +2025-10-31 23:35:37,644 INFO: [30_4..][epoch: 0, step: 10,300, lr:(9.980e-05,)] [eta: 18:43:13, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.4274e+00 l1_pixel_opt: 4.8710e-02 fft_frequency_opt: 3.3661e-02 +2025-10-31 23:36:33,172 INFO: [30_4..][epoch: 0, step: 10,400, lr:(9.980e-05,)] [eta: 18:41:38, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.9918e+00 l1_pixel_opt: 4.1735e-02 fft_frequency_opt: 3.2194e-02 +2025-10-31 23:37:28,914 INFO: [30_4..][epoch: 0, step: 10,500, lr:(9.980e-05,)] [eta: 18:40:07, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.6001e+00 l1_pixel_opt: 4.3394e-02 fft_frequency_opt: 2.8541e-02 +2025-10-31 23:38:24,751 INFO: [30_4..][epoch: 0, step: 10,600, lr:(9.980e-05,)] [eta: 18:38:37, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.7252e+00 l1_pixel_opt: 4.2829e-02 fft_frequency_opt: 3.0066e-02 +2025-10-31 23:39:21,699 INFO: [30_4..][epoch: 0, step: 10,700, lr:(9.980e-05,)] [eta: 18:37:20, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.9768e+00 l1_pixel_opt: 4.1085e-02 fft_frequency_opt: 2.9405e-02 +2025-10-31 23:40:18,360 INFO: [30_4..][epoch: 0, step: 10,800, lr:(9.980e-05,)] [eta: 18:36:01, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.7340e+00 l1_pixel_opt: 5.1137e-02 fft_frequency_opt: 3.7307e-02 +2025-10-31 23:41:14,784 INFO: [30_4..][epoch: 0, step: 10,900, lr:(9.980e-05,)] [eta: 18:34:39, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.1213e+00 l1_pixel_opt: 5.1085e-02 fft_frequency_opt: 3.5933e-02 +2025-10-31 23:42:11,509 INFO: [30_4..][epoch: 0, step: 11,000, lr:(9.980e-05,)] [eta: 18:33:21, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.3936e+00 l1_pixel_opt: 4.4070e-02 fft_frequency_opt: 3.4804e-02 +2025-10-31 23:43:08,033 INFO: [30_4..][epoch: 0, step: 11,100, lr:(9.980e-05,)] [eta: 18:32:01, time (data): 0.566 (0.000)] eagle_pixel_opt: 8.4591e+00 l1_pixel_opt: 6.1853e-02 fft_frequency_opt: 4.3467e-02 +2025-10-31 23:44:04,513 INFO: [30_4..][epoch: 0, step: 11,200, lr:(9.980e-05,)] [eta: 18:30:41, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.9079e+00 l1_pixel_opt: 5.6992e-02 fft_frequency_opt: 3.9370e-02 +2025-10-31 23:45:00,743 INFO: [30_4..][epoch: 0, step: 11,300, lr:(9.980e-05,)] [eta: 18:29:19, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.2367e+00 l1_pixel_opt: 4.2085e-02 fft_frequency_opt: 3.3264e-02 +2025-10-31 23:45:57,558 INFO: [30_4..][epoch: 0, step: 11,400, lr:(9.980e-05,)] [eta: 18:28:03, time (data): 0.566 (0.000)] eagle_pixel_opt: 8.0625e+00 l1_pixel_opt: 5.8719e-02 fft_frequency_opt: 4.2656e-02 +2025-10-31 23:46:54,113 INFO: [30_4..][epoch: 0, step: 11,500, lr:(9.980e-05,)] [eta: 18:26:45, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.9499e+00 l1_pixel_opt: 3.5377e-02 fft_frequency_opt: 2.9430e-02 +2025-10-31 23:47:50,459 INFO: [30_4..][epoch: 0, step: 11,600, lr:(9.980e-05,)] [eta: 18:25:25, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.8578e+00 l1_pixel_opt: 5.0542e-02 fft_frequency_opt: 3.8223e-02 +2025-10-31 23:48:47,287 INFO: [30_4..][epoch: 0, step: 11,700, lr:(9.980e-05,)] [eta: 18:24:11, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.5230e+00 l1_pixel_opt: 4.4415e-02 fft_frequency_opt: 3.5523e-02 +2025-10-31 23:49:43,633 INFO: [30_4..][epoch: 0, step: 11,800, lr:(9.980e-05,)] [eta: 18:22:52, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.7950e+00 l1_pixel_opt: 4.5384e-02 fft_frequency_opt: 3.1916e-02 +2025-10-31 23:50:40,029 INFO: [30_4..][epoch: 0, step: 11,900, lr:(9.980e-05,)] [eta: 18:21:34, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.9774e+00 l1_pixel_opt: 4.8620e-02 fft_frequency_opt: 3.5428e-02 +2025-10-31 23:51:36,593 INFO: [30_4..][epoch: 0, step: 12,000, lr:(9.980e-05,)] [eta: 18:20:18, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.6219e+00 l1_pixel_opt: 5.2489e-02 fft_frequency_opt: 4.0049e-02 +2025-10-31 23:52:33,571 INFO: [30_4..][epoch: 0, step: 12,100, lr:(9.980e-05,)] [eta: 18:19:06, time (data): 0.574 (0.000)] eagle_pixel_opt: 5.5823e+00 l1_pixel_opt: 4.8073e-02 fft_frequency_opt: 3.3287e-02 +2025-10-31 23:53:29,932 INFO: [30_4..][epoch: 0, step: 12,200, lr:(9.980e-05,)] [eta: 18:17:49, time (data): 0.567 (0.000)] eagle_pixel_opt: 6.5695e+00 l1_pixel_opt: 5.0560e-02 fft_frequency_opt: 3.5691e-02 +2025-10-31 23:54:26,337 INFO: [30_4..][epoch: 0, step: 12,300, lr:(9.980e-05,)] [eta: 18:16:32, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.3689e+00 l1_pixel_opt: 4.5707e-02 fft_frequency_opt: 3.4960e-02 +2025-10-31 23:55:23,085 INFO: [30_4..][epoch: 0, step: 12,400, lr:(9.980e-05,)] [eta: 18:15:19, time (data): 0.566 (0.000)] eagle_pixel_opt: 3.8948e+00 l1_pixel_opt: 3.0690e-02 fft_frequency_opt: 2.5000e-02 +2025-10-31 23:56:19,402 INFO: [30_4..][epoch: 0, step: 12,500, lr:(9.980e-05,)] [eta: 18:14:02, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4499e+00 l1_pixel_opt: 4.0238e-02 fft_frequency_opt: 3.3207e-02 +2025-10-31 23:57:14,810 INFO: [30_4..][epoch: 0, step: 12,600, lr:(9.980e-05,)] [eta: 18:12:37, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.6630e+00 l1_pixel_opt: 4.0528e-02 fft_frequency_opt: 3.2585e-02 +2025-10-31 23:58:11,514 INFO: [30_4..][epoch: 0, step: 12,700, lr:(9.980e-05,)] [eta: 18:11:25, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.5805e+00 l1_pixel_opt: 4.9940e-02 fft_frequency_opt: 3.7218e-02 +2025-10-31 23:59:08,085 INFO: [30_4..][epoch: 0, step: 12,800, lr:(9.980e-05,)] [eta: 18:10:11, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.4177e+00 l1_pixel_opt: 6.6122e-02 fft_frequency_opt: 4.1506e-02 +2025-11-01 00:00:04,711 INFO: [30_4..][epoch: 0, step: 12,900, lr:(9.980e-05,)] [eta: 18:08:58, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.5049e+00 l1_pixel_opt: 4.6514e-02 fft_frequency_opt: 3.2053e-02 +2025-11-01 00:01:00,848 INFO: [30_4..][epoch: 0, step: 13,000, lr:(9.980e-05,)] [eta: 18:07:41, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.5312e+00 l1_pixel_opt: 3.4132e-02 fft_frequency_opt: 2.6482e-02 +2025-11-01 00:01:57,351 INFO: [30_4..][epoch: 0, step: 13,100, lr:(9.980e-05,)] [eta: 18:06:28, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.8205e+00 l1_pixel_opt: 4.9728e-02 fft_frequency_opt: 3.5934e-02 +2025-11-01 00:02:53,593 INFO: [30_4..][epoch: 0, step: 13,200, lr:(9.980e-05,)] [eta: 18:05:13, time (data): 0.563 (0.000)] eagle_pixel_opt: 8.1463e+00 l1_pixel_opt: 6.1675e-02 fft_frequency_opt: 4.4695e-02 +2025-11-01 00:03:49,835 INFO: [30_4..][epoch: 0, step: 13,300, lr:(9.980e-05,)] [eta: 18:03:58, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.6319e+00 l1_pixel_opt: 4.6321e-02 fft_frequency_opt: 3.7198e-02 +2025-11-01 00:04:46,374 INFO: [30_4..][epoch: 0, step: 13,400, lr:(9.980e-05,)] [eta: 18:02:45, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6170e+00 l1_pixel_opt: 3.9012e-02 fft_frequency_opt: 3.2701e-02 +2025-11-01 00:05:43,182 INFO: [30_4..][epoch: 0, step: 13,500, lr:(9.980e-05,)] [eta: 18:01:36, time (data): 0.573 (0.000)] eagle_pixel_opt: 6.0591e+00 l1_pixel_opt: 4.4354e-02 fft_frequency_opt: 3.3445e-02 +2025-11-01 00:06:39,784 INFO: [30_4..][epoch: 0, step: 13,600, lr:(9.980e-05,)] [eta: 18:00:24, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.5890e+00 l1_pixel_opt: 4.2786e-02 fft_frequency_opt: 3.2691e-02 +2025-11-01 00:07:36,333 INFO: [30_4..][epoch: 0, step: 13,700, lr:(9.980e-05,)] [eta: 17:59:13, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.9325e+00 l1_pixel_opt: 3.6254e-02 fft_frequency_opt: 2.8120e-02 +2025-11-01 00:08:32,632 INFO: [30_4..][epoch: 0, step: 13,800, lr:(9.980e-05,)] [eta: 17:57:59, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.1034e+00 l1_pixel_opt: 3.9460e-02 fft_frequency_opt: 2.8635e-02 +2025-11-01 00:09:31,738 INFO: [30_4..][epoch: 0, step: 13,900, lr:(9.980e-05,)] [eta: 17:57:09, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.7679e+00 l1_pixel_opt: 4.1217e-02 fft_frequency_opt: 3.2249e-02 +2025-11-01 00:10:29,000 INFO: [30_4..][epoch: 0, step: 14,000, lr:(9.980e-05,)] [eta: 17:56:03, time (data): 0.571 (0.000)] eagle_pixel_opt: 8.1266e+00 l1_pixel_opt: 5.8905e-02 fft_frequency_opt: 4.2722e-02 +2025-11-01 00:11:26,397 INFO: [30_4..][epoch: 0, step: 14,100, lr:(9.980e-05,)] [eta: 17:54:59, time (data): 0.575 (0.000)] eagle_pixel_opt: 6.2826e+00 l1_pixel_opt: 4.9242e-02 fft_frequency_opt: 3.2931e-02 +2025-11-01 00:12:23,564 INFO: [30_4..][epoch: 0, step: 14,200, lr:(9.980e-05,)] [eta: 17:53:53, time (data): 0.572 (0.000)] eagle_pixel_opt: 6.8759e+00 l1_pixel_opt: 5.0097e-02 fft_frequency_opt: 3.8089e-02 +2025-11-01 00:13:21,005 INFO: [30_4..][epoch: 0, step: 14,300, lr:(9.980e-05,)] [eta: 17:52:50, time (data): 0.580 (0.000)] eagle_pixel_opt: 6.0929e+00 l1_pixel_opt: 4.8670e-02 fft_frequency_opt: 3.3069e-02 +2025-11-01 00:14:17,922 INFO: [30_4..][epoch: 0, step: 14,400, lr:(9.980e-05,)] [eta: 17:51:42, time (data): 0.572 (0.000)] eagle_pixel_opt: 6.6972e+00 l1_pixel_opt: 4.5404e-02 fft_frequency_opt: 3.4743e-02 +2025-11-01 00:15:14,896 INFO: [30_4..][epoch: 0, step: 14,500, lr:(9.980e-05,)] [eta: 17:50:35, time (data): 0.570 (0.000)] eagle_pixel_opt: 7.6431e+00 l1_pixel_opt: 5.2185e-02 fft_frequency_opt: 3.9485e-02 +2025-11-01 00:16:11,574 INFO: [30_4..][epoch: 0, step: 14,600, lr:(9.980e-05,)] [eta: 17:49:26, time (data): 0.568 (0.000)] eagle_pixel_opt: 4.4532e+00 l1_pixel_opt: 3.3421e-02 fft_frequency_opt: 2.7166e-02 +2025-11-01 00:17:08,238 INFO: [30_4..][epoch: 0, step: 14,700, lr:(9.980e-05,)] [eta: 17:48:17, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.8509e+00 l1_pixel_opt: 5.3293e-02 fft_frequency_opt: 3.8913e-02 +2025-11-01 00:18:05,024 INFO: [30_4..][epoch: 0, step: 14,800, lr:(9.980e-05,)] [eta: 17:47:09, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.2464e+00 l1_pixel_opt: 4.2631e-02 fft_frequency_opt: 2.8084e-02 +2025-11-01 00:19:01,400 INFO: [30_4..][epoch: 0, step: 14,900, lr:(9.980e-05,)] [eta: 17:45:58, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.1267e+00 l1_pixel_opt: 4.7010e-02 fft_frequency_opt: 3.4853e-02 +2025-11-01 00:19:58,173 INFO: [30_4..][epoch: 0, step: 15,000, lr:(9.980e-05,)] [eta: 17:44:50, time (data): 0.567 (0.000)] eagle_pixel_opt: 7.3212e+00 l1_pixel_opt: 5.3648e-02 fft_frequency_opt: 3.8338e-02 +2025-11-01 00:19:58,174 INFO: Saving models and training states. +2025-11-01 00:22:12,751 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2713 Best: 0.3190 @ 5000 iter + # l2_latent: 0.1147 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 32.8056 Best: 32.8056 @ 15000 iter + +2025-11-01 00:23:09,948 INFO: [30_4..][epoch: 0, step: 15,100, lr:(9.980e-05,)] [eta: 18:00:05, time (data): 0.586 (0.000)] eagle_pixel_opt: 5.4717e+00 l1_pixel_opt: 3.6443e-02 fft_frequency_opt: 2.7837e-02 +2025-11-01 00:24:07,152 INFO: [30_4..][epoch: 0, step: 15,200, lr:(9.980e-05,)] [eta: 17:58:53, time (data): 0.575 (0.000)] eagle_pixel_opt: 6.3111e+00 l1_pixel_opt: 4.3308e-02 fft_frequency_opt: 3.4677e-02 +2025-11-01 00:25:04,744 INFO: [30_4..][epoch: 0, step: 15,300, lr:(9.980e-05,)] [eta: 17:57:45, time (data): 0.571 (0.000)] eagle_pixel_opt: 6.2031e+00 l1_pixel_opt: 4.9448e-02 fft_frequency_opt: 3.7356e-02 +2025-11-01 00:26:01,660 INFO: [30_4..][epoch: 0, step: 15,400, lr:(9.980e-05,)] [eta: 17:56:31, time (data): 0.569 (0.000)] eagle_pixel_opt: 6.3364e+00 l1_pixel_opt: 4.3398e-02 fft_frequency_opt: 3.2286e-02 +2025-11-01 00:26:58,657 INFO: [30_4..][epoch: 0, step: 15,500, lr:(9.980e-05,)] [eta: 17:55:19, time (data): 0.571 (0.000)] eagle_pixel_opt: 7.3479e+00 l1_pixel_opt: 5.5479e-02 fft_frequency_opt: 3.8494e-02 +2025-11-01 00:27:56,003 INFO: [30_4..][epoch: 0, step: 15,600, lr:(9.980e-05,)] [eta: 17:54:09, time (data): 0.573 (0.000)] eagle_pixel_opt: 3.4842e+00 l1_pixel_opt: 3.3731e-02 fft_frequency_opt: 2.2750e-02 +2025-11-01 00:28:52,338 INFO: [30_4..][epoch: 0, step: 15,700, lr:(9.980e-05,)] [eta: 17:52:52, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.1724e+00 l1_pixel_opt: 4.2662e-02 fft_frequency_opt: 3.1989e-02 +2025-11-01 00:29:49,150 INFO: [30_4..][epoch: 0, step: 15,800, lr:(9.980e-05,)] [eta: 17:51:38, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.2585e+00 l1_pixel_opt: 4.3660e-02 fft_frequency_opt: 3.3926e-02 +2025-11-01 00:30:45,676 INFO: [30_4..][epoch: 0, step: 15,900, lr:(9.980e-05,)] [eta: 17:50:23, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.6890e+00 l1_pixel_opt: 3.7793e-02 fft_frequency_opt: 2.7538e-02 +2025-11-01 00:31:42,889 INFO: [30_4..][epoch: 0, step: 16,000, lr:(9.980e-05,)] [eta: 17:49:13, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.6169e+00 l1_pixel_opt: 4.7757e-02 fft_frequency_opt: 3.4649e-02 +2025-11-01 00:32:39,144 INFO: [30_4..][epoch: 0, step: 16,100, lr:(9.980e-05,)] [eta: 17:47:57, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.4218e+00 l1_pixel_opt: 4.2621e-02 fft_frequency_opt: 2.9456e-02 +2025-11-01 00:33:35,450 INFO: [30_4..][epoch: 0, step: 16,200, lr:(9.980e-05,)] [eta: 17:46:41, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.8027e+00 l1_pixel_opt: 4.4669e-02 fft_frequency_opt: 3.3374e-02 +2025-11-01 00:34:31,837 INFO: [30_4..][epoch: 0, step: 16,300, lr:(9.980e-05,)] [eta: 17:45:26, time (data): 0.578 (0.000)] eagle_pixel_opt: 7.0137e+00 l1_pixel_opt: 5.2112e-02 fft_frequency_opt: 3.5603e-02 +2025-11-01 00:35:28,373 INFO: [30_4..][epoch: 0, step: 16,400, lr:(9.980e-05,)] [eta: 17:44:12, time (data): 0.567 (0.000)] eagle_pixel_opt: 7.1361e+00 l1_pixel_opt: 5.3059e-02 fft_frequency_opt: 3.8954e-02 +2025-11-01 00:36:25,773 INFO: [30_4..][epoch: 0, step: 16,500, lr:(9.980e-05,)] [eta: 17:43:04, time (data): 0.574 (0.000)] eagle_pixel_opt: 6.4055e+00 l1_pixel_opt: 4.5203e-02 fft_frequency_opt: 3.3645e-02 +2025-11-01 00:37:22,486 INFO: [30_4..][epoch: 0, step: 16,600, lr:(9.980e-05,)] [eta: 17:41:52, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.4271e+00 l1_pixel_opt: 4.9867e-02 fft_frequency_opt: 3.4920e-02 +2025-11-01 00:38:19,299 INFO: [30_4..][epoch: 0, step: 16,700, lr:(9.980e-05,)] [eta: 17:40:40, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6438e+00 l1_pixel_opt: 4.9305e-02 fft_frequency_opt: 3.2602e-02 +2025-11-01 00:39:16,018 INFO: [30_4..][epoch: 0, step: 16,800, lr:(9.980e-05,)] [eta: 17:39:28, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.8148e+00 l1_pixel_opt: 4.2940e-02 fft_frequency_opt: 3.1895e-02 +2025-11-01 00:40:12,590 INFO: [30_4..][epoch: 0, step: 16,900, lr:(9.980e-05,)] [eta: 17:38:16, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.3979e+00 l1_pixel_opt: 4.9738e-02 fft_frequency_opt: 3.3699e-02 +2025-11-01 00:41:09,555 INFO: [30_4..][epoch: 0, step: 17,000, lr:(9.980e-05,)] [eta: 17:37:06, time (data): 0.569 (0.000)] eagle_pixel_opt: 7.8503e+00 l1_pixel_opt: 5.1073e-02 fft_frequency_opt: 3.5745e-02 +2025-11-01 00:42:06,368 INFO: [30_4..][epoch: 0, step: 17,100, lr:(9.980e-05,)] [eta: 17:35:55, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.5013e+00 l1_pixel_opt: 3.8645e-02 fft_frequency_opt: 2.9769e-02 +2025-11-01 00:43:03,413 INFO: [30_4..][epoch: 0, step: 17,200, lr:(9.980e-05,)] [eta: 17:34:46, time (data): 0.570 (0.000)] eagle_pixel_opt: 5.0731e+00 l1_pixel_opt: 4.0932e-02 fft_frequency_opt: 2.8417e-02 +2025-11-01 00:44:01,721 INFO: [30_4..][epoch: 0, step: 17,300, lr:(9.980e-05,)] [eta: 17:33:44, time (data): 0.579 (0.000)] eagle_pixel_opt: 5.2220e+00 l1_pixel_opt: 4.3059e-02 fft_frequency_opt: 3.0416e-02 +2025-11-01 00:44:59,920 INFO: [30_4..][epoch: 0, step: 17,400, lr:(9.980e-05,)] [eta: 17:32:43, time (data): 0.582 (0.000)] eagle_pixel_opt: 6.8928e+00 l1_pixel_opt: 5.3386e-02 fft_frequency_opt: 3.7935e-02 +2025-11-01 00:45:56,774 INFO: [30_4..][epoch: 0, step: 17,500, lr:(9.980e-05,)] [eta: 17:31:32, time (data): 0.566 (0.000)] eagle_pixel_opt: 7.3008e+00 l1_pixel_opt: 4.7730e-02 fft_frequency_opt: 3.6853e-02 +2025-11-01 00:46:53,867 INFO: [30_4..][epoch: 0, step: 17,600, lr:(9.980e-05,)] [eta: 17:30:24, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.1915e+00 l1_pixel_opt: 4.5919e-02 fft_frequency_opt: 3.2994e-02 +2025-11-01 00:47:52,282 INFO: [30_4..][epoch: 0, step: 17,700, lr:(9.980e-05,)] [eta: 17:29:24, time (data): 0.588 (0.000)] eagle_pixel_opt: 6.9090e+00 l1_pixel_opt: 5.3959e-02 fft_frequency_opt: 3.5846e-02 +2025-11-01 00:48:49,250 INFO: [30_4..][epoch: 0, step: 17,800, lr:(9.980e-05,)] [eta: 17:28:15, time (data): 0.572 (0.000)] eagle_pixel_opt: 5.5397e+00 l1_pixel_opt: 4.3928e-02 fft_frequency_opt: 3.1717e-02 +2025-11-01 00:49:46,062 INFO: [30_4..][epoch: 0, step: 17,900, lr:(9.980e-05,)] [eta: 17:27:05, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.9119e+00 l1_pixel_opt: 5.1748e-02 fft_frequency_opt: 3.6269e-02 +2025-11-01 00:50:43,117 INFO: [30_4..][epoch: 0, step: 18,000, lr:(9.980e-05,)] [eta: 17:25:57, time (data): 0.570 (0.000)] eagle_pixel_opt: 5.3546e+00 l1_pixel_opt: 4.2847e-02 fft_frequency_opt: 3.0376e-02 +2025-11-01 00:51:39,334 INFO: [30_4..][epoch: 0, step: 18,100, lr:(9.980e-05,)] [eta: 17:24:44, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.4605e+00 l1_pixel_opt: 3.5274e-02 fft_frequency_opt: 2.6478e-02 +2025-11-01 00:52:35,096 INFO: [30_4..][epoch: 0, step: 18,200, lr:(9.980e-05,)] [eta: 17:23:28, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.9775e+00 l1_pixel_opt: 4.6611e-02 fft_frequency_opt: 3.3782e-02 +2025-11-01 00:53:31,296 INFO: [30_4..][epoch: 0, step: 18,300, lr:(9.980e-05,)] [eta: 17:22:15, time (data): 0.584 (0.000)] eagle_pixel_opt: 5.0780e+00 l1_pixel_opt: 4.0714e-02 fft_frequency_opt: 2.9354e-02 +2025-11-01 00:54:27,874 INFO: [30_4..][epoch: 0, step: 18,400, lr:(9.980e-05,)] [eta: 17:21:05, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.8025e+00 l1_pixel_opt: 4.0101e-02 fft_frequency_opt: 3.0493e-02 +2025-11-01 00:55:24,514 INFO: [30_4..][epoch: 0, step: 18,500, lr:(9.980e-05,)] [eta: 17:19:55, time (data): 0.574 (0.000)] eagle_pixel_opt: 5.3585e+00 l1_pixel_opt: 4.4547e-02 fft_frequency_opt: 3.3602e-02 +2025-11-01 00:56:21,323 INFO: [30_4..][epoch: 0, step: 18,600, lr:(9.980e-05,)] [eta: 17:18:46, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.1542e+00 l1_pixel_opt: 4.7796e-02 fft_frequency_opt: 3.2890e-02 +2025-11-01 00:57:17,771 INFO: [30_4..][epoch: 0, step: 18,700, lr:(9.980e-05,)] [eta: 17:17:36, time (data): 0.569 (0.000)] eagle_pixel_opt: 6.5472e+00 l1_pixel_opt: 4.7254e-02 fft_frequency_opt: 3.4791e-02 +2025-11-01 00:58:14,502 INFO: [30_4..][epoch: 0, step: 18,800, lr:(9.980e-05,)] [eta: 17:16:27, time (data): 0.567 (0.000)] eagle_pixel_opt: 7.8705e+00 l1_pixel_opt: 4.8094e-02 fft_frequency_opt: 3.8939e-02 +2025-11-01 00:59:12,711 INFO: [30_4..][epoch: 0, step: 18,900, lr:(9.980e-05,)] [eta: 17:15:26, time (data): 0.588 (0.000)] eagle_pixel_opt: 5.4172e+00 l1_pixel_opt: 4.7489e-02 fft_frequency_opt: 3.2398e-02 +2025-11-01 01:00:09,611 INFO: [30_4..][epoch: 0, step: 19,000, lr:(9.980e-05,)] [eta: 17:14:18, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.5456e+00 l1_pixel_opt: 4.9138e-02 fft_frequency_opt: 3.4903e-02 +2025-11-01 01:01:07,079 INFO: [30_4..][epoch: 0, step: 19,100, lr:(9.980e-05,)] [eta: 17:13:14, time (data): 0.611 (0.000)] eagle_pixel_opt: 6.0129e+00 l1_pixel_opt: 4.1373e-02 fft_frequency_opt: 2.9273e-02 +2025-11-01 01:02:03,952 INFO: [30_4..][epoch: 0, step: 19,200, lr:(9.980e-05,)] [eta: 17:12:06, time (data): 0.571 (0.000)] eagle_pixel_opt: 6.6885e+00 l1_pixel_opt: 5.7941e-02 fft_frequency_opt: 3.9461e-02 +2025-11-01 01:03:00,771 INFO: [30_4..][epoch: 0, step: 19,300, lr:(9.980e-05,)] [eta: 17:10:58, time (data): 0.559 (0.000)] eagle_pixel_opt: 3.7026e+00 l1_pixel_opt: 3.3821e-02 fft_frequency_opt: 2.5973e-02 +2025-11-01 01:03:57,568 INFO: [30_4..][epoch: 0, step: 19,400, lr:(9.980e-05,)] [eta: 17:09:50, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.4838e+00 l1_pixel_opt: 3.7283e-02 fft_frequency_opt: 2.8093e-02 +2025-11-01 01:04:54,880 INFO: [30_4..][epoch: 0, step: 19,500, lr:(9.980e-05,)] [eta: 17:08:45, time (data): 0.573 (0.000)] eagle_pixel_opt: 8.4647e+00 l1_pixel_opt: 5.0830e-02 fft_frequency_opt: 4.1307e-02 +2025-11-01 01:05:52,037 INFO: [30_4..][epoch: 0, step: 19,600, lr:(9.980e-05,)] [eta: 17:07:40, time (data): 0.572 (0.000)] eagle_pixel_opt: 5.8733e+00 l1_pixel_opt: 4.4953e-02 fft_frequency_opt: 3.2271e-02 +2025-11-01 01:06:52,009 INFO: [30_4..][epoch: 0, step: 19,700, lr:(9.980e-05,)] [eta: 17:06:49, time (data): 0.573 (0.000)] eagle_pixel_opt: 5.4802e+00 l1_pixel_opt: 4.2212e-02 fft_frequency_opt: 3.1287e-02 +2025-11-01 01:07:48,382 INFO: [30_4..][epoch: 0, step: 19,800, lr:(9.980e-05,)] [eta: 17:05:39, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.6617e+00 l1_pixel_opt: 4.6532e-02 fft_frequency_opt: 3.3607e-02 +2025-11-01 01:08:44,756 INFO: [30_4..][epoch: 0, step: 19,900, lr:(9.980e-05,)] [eta: 17:04:29, time (data): 0.572 (0.000)] eagle_pixel_opt: 6.0694e+00 l1_pixel_opt: 4.4913e-02 fft_frequency_opt: 3.2502e-02 +2025-11-01 01:09:41,251 INFO: [30_4..][epoch: 0, step: 20,000, lr:(9.980e-05,)] [eta: 17:03:20, time (data): 0.565 (0.000)] eagle_pixel_opt: 8.7100e+00 l1_pixel_opt: 5.9271e-02 fft_frequency_opt: 4.2876e-02 +2025-11-01 01:09:41,252 INFO: Saving models and training states. +2025-11-01 01:11:54,438 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2593 Best: 0.3190 @ 5000 iter + # l2_latent: 0.1067 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 32.9867 Best: 32.9867 @ 20000 iter + +2025-11-01 01:12:51,940 INFO: [30_4..][epoch: 0, step: 20,100, lr:(9.980e-05,)] [eta: 17:13:52, time (data): 0.570 (0.000)] eagle_pixel_opt: 4.9625e+00 l1_pixel_opt: 3.6703e-02 fft_frequency_opt: 2.7030e-02 +2025-11-01 01:13:49,399 INFO: [30_4..][epoch: 0, step: 20,200, lr:(9.980e-05,)] [eta: 17:12:44, time (data): 0.575 (0.000)] eagle_pixel_opt: 6.8530e+00 l1_pixel_opt: 4.3485e-02 fft_frequency_opt: 3.5343e-02 +2025-11-01 01:14:46,169 INFO: [30_4..][epoch: 0, step: 20,300, lr:(9.980e-05,)] [eta: 17:11:33, time (data): 0.571 (0.000)] eagle_pixel_opt: 5.3366e+00 l1_pixel_opt: 3.5378e-02 fft_frequency_opt: 2.9283e-02 +2025-11-01 01:15:43,214 INFO: [30_4..][epoch: 0, step: 20,400, lr:(9.980e-05,)] [eta: 17:10:23, time (data): 0.570 (0.000)] eagle_pixel_opt: 4.1962e+00 l1_pixel_opt: 3.7034e-02 fft_frequency_opt: 2.5842e-02 +2025-11-01 01:16:39,742 INFO: [30_4..][epoch: 0, step: 20,500, lr:(9.980e-05,)] [eta: 17:09:11, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.9176e+00 l1_pixel_opt: 3.5669e-02 fft_frequency_opt: 3.0990e-02 +2025-11-01 01:17:36,559 INFO: [30_4..][epoch: 0, step: 20,600, lr:(9.980e-05,)] [eta: 17:08:00, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.1330e+00 l1_pixel_opt: 4.1876e-02 fft_frequency_opt: 2.8913e-02 +2025-11-01 01:18:32,928 INFO: [30_4..][epoch: 0, step: 20,700, lr:(9.980e-05,)] [eta: 17:06:47, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.2735e+00 l1_pixel_opt: 3.4885e-02 fft_frequency_opt: 2.7821e-02 +2025-11-01 01:19:29,472 INFO: [30_4..][epoch: 0, step: 20,800, lr:(9.980e-05,)] [eta: 17:05:36, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.4810e+00 l1_pixel_opt: 3.9295e-02 fft_frequency_opt: 3.0953e-02 +2025-11-01 01:20:26,234 INFO: [30_4..][epoch: 0, step: 20,900, lr:(9.980e-05,)] [eta: 17:04:25, time (data): 0.567 (0.000)] eagle_pixel_opt: 7.8319e+00 l1_pixel_opt: 5.0768e-02 fft_frequency_opt: 3.7147e-02 +2025-11-01 01:21:22,121 INFO: [30_4..][epoch: 0, step: 21,000, lr:(9.980e-05,)] [eta: 17:03:11, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.5662e+00 l1_pixel_opt: 4.8273e-02 fft_frequency_opt: 3.5776e-02 +2025-11-01 01:22:18,218 INFO: [30_4..][epoch: 0, step: 21,100, lr:(9.980e-05,)] [eta: 17:01:57, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.2568e+00 l1_pixel_opt: 3.7121e-02 fft_frequency_opt: 2.7840e-02 +2025-11-01 01:23:15,038 INFO: [30_4..][epoch: 0, step: 21,200, lr:(9.980e-05,)] [eta: 17:00:47, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.0833e+00 l1_pixel_opt: 4.1295e-02 fft_frequency_opt: 3.0110e-02 +2025-11-01 01:24:10,696 INFO: [30_4..][epoch: 0, step: 21,300, lr:(9.980e-05,)] [eta: 16:59:32, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.3984e+00 l1_pixel_opt: 4.0657e-02 fft_frequency_opt: 3.1849e-02 +2025-11-01 01:25:07,542 INFO: [30_4..][epoch: 0, step: 21,400, lr:(9.980e-05,)] [eta: 16:58:23, time (data): 0.569 (0.000)] eagle_pixel_opt: 4.4290e+00 l1_pixel_opt: 3.9344e-02 fft_frequency_opt: 2.8480e-02 +2025-11-01 01:26:04,144 INFO: [30_4..][epoch: 0, step: 21,500, lr:(9.980e-05,)] [eta: 16:57:12, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.6129e+00 l1_pixel_opt: 4.5254e-02 fft_frequency_opt: 3.1730e-02 +2025-11-01 01:27:00,363 INFO: [30_4..][epoch: 0, step: 21,600, lr:(9.980e-05,)] [eta: 16:56:00, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.4794e+00 l1_pixel_opt: 4.2671e-02 fft_frequency_opt: 3.1409e-02 +2025-11-01 01:27:56,528 INFO: [30_4..][epoch: 0, step: 21,700, lr:(9.980e-05,)] [eta: 16:54:48, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.4081e+00 l1_pixel_opt: 4.1575e-02 fft_frequency_opt: 3.1182e-02 +2025-11-01 01:28:52,864 INFO: [30_4..][epoch: 0, step: 21,800, lr:(9.980e-05,)] [eta: 16:53:37, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.2825e+00 l1_pixel_opt: 4.3576e-02 fft_frequency_opt: 3.1534e-02 +2025-11-01 01:29:48,773 INFO: [30_4..][epoch: 0, step: 21,900, lr:(9.980e-05,)] [eta: 16:52:23, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1500e+00 l1_pixel_opt: 4.6673e-02 fft_frequency_opt: 3.5255e-02 +2025-11-01 01:30:45,485 INFO: [30_4..][epoch: 0, step: 22,000, lr:(9.980e-05,)] [eta: 16:51:14, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.6971e+00 l1_pixel_opt: 4.4765e-02 fft_frequency_opt: 3.3552e-02 +2025-11-01 01:31:42,289 INFO: [30_4..][epoch: 0, step: 22,100, lr:(9.980e-05,)] [eta: 16:50:05, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.7418e+00 l1_pixel_opt: 3.1418e-02 fft_frequency_opt: 2.7065e-02 +2025-11-01 01:32:38,768 INFO: [30_4..][epoch: 0, step: 22,200, lr:(9.980e-05,)] [eta: 16:48:55, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.2561e+00 l1_pixel_opt: 4.5414e-02 fft_frequency_opt: 3.4607e-02 +2025-11-01 01:33:36,621 INFO: [30_4..][epoch: 0, step: 22,300, lr:(9.980e-05,)] [eta: 16:47:52, time (data): 0.571 (0.000)] eagle_pixel_opt: 7.5982e+00 l1_pixel_opt: 5.0886e-02 fft_frequency_opt: 3.9021e-02 +2025-11-01 01:34:33,919 INFO: [30_4..][epoch: 0, step: 22,400, lr:(9.980e-05,)] [eta: 16:46:46, time (data): 0.573 (0.000)] eagle_pixel_opt: 5.5507e+00 l1_pixel_opt: 4.4487e-02 fft_frequency_opt: 3.1699e-02 +2025-11-01 01:35:31,622 INFO: [30_4..][epoch: 0, step: 22,500, lr:(9.980e-05,)] [eta: 16:45:41, time (data): 0.575 (0.000)] eagle_pixel_opt: 6.3371e+00 l1_pixel_opt: 4.4983e-02 fft_frequency_opt: 3.3447e-02 +2025-11-01 01:36:28,126 INFO: [30_4..][epoch: 0, step: 22,600, lr:(9.980e-05,)] [eta: 16:44:32, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.3313e+00 l1_pixel_opt: 3.8492e-02 fft_frequency_opt: 2.7650e-02 +2025-11-01 01:37:24,057 INFO: [30_4..][epoch: 0, step: 22,700, lr:(9.980e-05,)] [eta: 16:43:20, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.7830e+00 l1_pixel_opt: 3.7080e-02 fft_frequency_opt: 2.7744e-02 +2025-11-01 01:38:20,783 INFO: [30_4..][epoch: 0, step: 22,800, lr:(9.980e-05,)] [eta: 16:42:11, time (data): 0.569 (0.000)] eagle_pixel_opt: 4.0216e+00 l1_pixel_opt: 3.3656e-02 fft_frequency_opt: 2.4192e-02 +2025-11-01 01:39:16,748 INFO: [30_4..][epoch: 0, step: 22,900, lr:(9.980e-05,)] [eta: 16:41:00, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.9249e+00 l1_pixel_opt: 4.3759e-02 fft_frequency_opt: 3.2043e-02 +2025-11-01 01:40:13,293 INFO: [30_4..][epoch: 0, step: 23,000, lr:(9.980e-05,)] [eta: 16:39:51, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.7519e+00 l1_pixel_opt: 3.8118e-02 fft_frequency_opt: 2.8963e-02 +2025-11-01 01:41:10,820 INFO: [30_4..][epoch: 0, step: 23,100, lr:(9.980e-05,)] [eta: 16:38:46, time (data): 0.571 (0.000)] eagle_pixel_opt: 4.4254e+00 l1_pixel_opt: 3.5666e-02 fft_frequency_opt: 2.7432e-02 +2025-11-01 01:42:07,317 INFO: [30_4..][epoch: 0, step: 23,200, lr:(9.980e-05,)] [eta: 16:37:37, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.8347e+00 l1_pixel_opt: 3.9816e-02 fft_frequency_opt: 2.8898e-02 +2025-11-01 01:43:03,332 INFO: [30_4..][epoch: 0, step: 23,300, lr:(9.980e-05,)] [eta: 16:36:26, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.1814e+00 l1_pixel_opt: 4.8433e-02 fft_frequency_opt: 3.4975e-02 +2025-11-01 01:43:59,267 INFO: [30_4..][epoch: 0, step: 23,400, lr:(9.980e-05,)] [eta: 16:35:15, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.2930e+00 l1_pixel_opt: 4.1438e-02 fft_frequency_opt: 3.1943e-02 +2025-11-01 01:44:55,447 INFO: [30_4..][epoch: 0, step: 23,500, lr:(9.980e-05,)] [eta: 16:34:05, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1795e+00 l1_pixel_opt: 4.1651e-02 fft_frequency_opt: 2.9568e-02 +2025-11-01 01:45:54,727 INFO: [30_4..][epoch: 0, step: 23,600, lr:(9.980e-05,)] [eta: 16:33:09, time (data): 0.592 (0.000)] eagle_pixel_opt: 5.7130e+00 l1_pixel_opt: 4.6004e-02 fft_frequency_opt: 3.3840e-02 +2025-11-01 01:46:51,092 INFO: [30_4..][epoch: 0, step: 23,700, lr:(9.980e-05,)] [eta: 16:32:00, time (data): 0.577 (0.000)] eagle_pixel_opt: 6.4672e+00 l1_pixel_opt: 4.1332e-02 fft_frequency_opt: 3.3724e-02 +2025-11-01 01:47:47,868 INFO: [30_4..][epoch: 0, step: 23,800, lr:(9.980e-05,)] [eta: 16:30:52, time (data): 0.567 (0.000)] eagle_pixel_opt: 6.5852e+00 l1_pixel_opt: 4.0700e-02 fft_frequency_opt: 3.2654e-02 +2025-11-01 01:48:44,296 INFO: [30_4..][epoch: 0, step: 23,900, lr:(9.980e-05,)] [eta: 16:29:44, time (data): 0.565 (0.000)] eagle_pixel_opt: 3.5665e+00 l1_pixel_opt: 2.4272e-02 fft_frequency_opt: 2.0142e-02 +2025-11-01 01:49:40,717 INFO: [30_4..][epoch: 0, step: 24,000, lr:(9.980e-05,)] [eta: 16:28:35, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.0576e+00 l1_pixel_opt: 4.2689e-02 fft_frequency_opt: 2.7015e-02 +2025-11-01 01:50:37,069 INFO: [30_4..][epoch: 0, step: 24,100, lr:(9.980e-05,)] [eta: 16:27:27, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4575e+00 l1_pixel_opt: 4.6490e-02 fft_frequency_opt: 3.4266e-02 +2025-11-01 01:51:33,499 INFO: [30_4..][epoch: 0, step: 24,200, lr:(9.980e-05,)] [eta: 16:26:18, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.3232e+00 l1_pixel_opt: 3.4379e-02 fft_frequency_opt: 2.8168e-02 +2025-11-01 01:52:29,429 INFO: [30_4..][epoch: 0, step: 24,300, lr:(9.980e-05,)] [eta: 16:25:08, time (data): 0.561 (0.000)] eagle_pixel_opt: 3.6800e+00 l1_pixel_opt: 3.7392e-02 fft_frequency_opt: 2.5220e-02 +2025-11-01 01:53:25,643 INFO: [30_4..][epoch: 0, step: 24,400, lr:(9.980e-05,)] [eta: 16:23:59, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.6606e+00 l1_pixel_opt: 4.4598e-02 fft_frequency_opt: 3.1662e-02 +2025-11-01 01:54:22,297 INFO: [30_4..][epoch: 0, step: 24,500, lr:(9.980e-05,)] [eta: 16:22:52, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.0565e+00 l1_pixel_opt: 4.2280e-02 fft_frequency_opt: 3.0030e-02 +2025-11-01 01:55:18,796 INFO: [30_4..][epoch: 0, step: 24,600, lr:(9.980e-05,)] [eta: 16:21:45, time (data): 0.566 (0.000)] eagle_pixel_opt: 8.1879e+00 l1_pixel_opt: 5.8458e-02 fft_frequency_opt: 4.0440e-02 +2025-11-01 01:56:15,000 INFO: [30_4..][epoch: 0, step: 24,700, lr:(9.980e-05,)] [eta: 16:20:36, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.4935e+00 l1_pixel_opt: 3.3882e-02 fft_frequency_opt: 2.6625e-02 +2025-11-01 01:57:11,410 INFO: [30_4..][epoch: 0, step: 24,800, lr:(9.980e-05,)] [eta: 16:19:28, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.7775e+00 l1_pixel_opt: 5.4609e-02 fft_frequency_opt: 3.9764e-02 +2025-11-01 01:58:08,039 INFO: [30_4..][epoch: 0, step: 24,900, lr:(9.980e-05,)] [eta: 16:18:21, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.9081e+00 l1_pixel_opt: 3.7748e-02 fft_frequency_opt: 2.7418e-02 +2025-11-01 01:59:04,302 INFO: [30_4..][epoch: 0, step: 25,000, lr:(9.980e-05,)] [eta: 16:17:13, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.1190e+00 l1_pixel_opt: 3.7946e-02 fft_frequency_opt: 2.7568e-02 +2025-11-01 01:59:04,304 INFO: Saving models and training states. +2025-11-01 02:01:11,946 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2498 Best: 0.3190 @ 5000 iter + # l2_latent: 0.1002 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.1061 Best: 33.1061 @ 25000 iter + +2025-11-01 02:02:07,963 INFO: [30_4..][epoch: 0, step: 25,100, lr:(9.980e-05,)] [eta: 16:24:32, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.9765e+00 l1_pixel_opt: 4.8393e-02 fft_frequency_opt: 3.4584e-02 +2025-11-01 02:03:04,632 INFO: [30_4..][epoch: 0, step: 25,200, lr:(9.980e-05,)] [eta: 16:23:23, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.8901e+00 l1_pixel_opt: 4.0983e-02 fft_frequency_opt: 3.0455e-02 +2025-11-01 02:04:01,502 INFO: [30_4..][epoch: 0, step: 25,300, lr:(9.980e-05,)] [eta: 16:22:15, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.0013e+00 l1_pixel_opt: 4.2468e-02 fft_frequency_opt: 3.3971e-02 +2025-11-01 02:04:57,337 INFO: [30_4..][epoch: 0, step: 25,400, lr:(9.980e-05,)] [eta: 16:21:03, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.9607e+00 l1_pixel_opt: 4.4876e-02 fft_frequency_opt: 3.4070e-02 +2025-11-01 02:05:53,723 INFO: [30_4..][epoch: 0, step: 25,500, lr:(9.980e-05,)] [eta: 16:19:54, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.6578e+00 l1_pixel_opt: 4.9234e-02 fft_frequency_opt: 3.8516e-02 +2025-11-01 02:06:49,505 INFO: [30_4..][epoch: 0, step: 25,600, lr:(9.980e-05,)] [eta: 16:18:42, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.7837e+00 l1_pixel_opt: 3.4881e-02 fft_frequency_opt: 2.7156e-02 +2025-11-01 02:07:46,491 INFO: [30_4..][epoch: 0, step: 25,700, lr:(9.980e-05,)] [eta: 16:17:35, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.1134e+00 l1_pixel_opt: 5.0995e-02 fft_frequency_opt: 3.5887e-02 +2025-11-01 02:08:42,925 INFO: [30_4..][epoch: 0, step: 25,800, lr:(9.980e-05,)] [eta: 16:16:25, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.5165e+00 l1_pixel_opt: 3.2652e-02 fft_frequency_opt: 2.5660e-02 +2025-11-01 02:09:39,311 INFO: [30_4..][epoch: 0, step: 25,900, lr:(9.980e-05,)] [eta: 16:15:16, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.1012e+00 l1_pixel_opt: 4.3546e-02 fft_frequency_opt: 3.4148e-02 +2025-11-01 02:10:35,809 INFO: [30_4..][epoch: 0, step: 26,000, lr:(9.980e-05,)] [eta: 16:14:07, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4531e+00 l1_pixel_opt: 4.3538e-02 fft_frequency_opt: 3.5507e-02 +2025-11-01 02:11:32,910 INFO: [30_4..][epoch: 0, step: 26,100, lr:(9.980e-05,)] [eta: 16:13:01, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.9470e+00 l1_pixel_opt: 4.3654e-02 fft_frequency_opt: 3.2429e-02 +2025-11-01 02:12:29,497 INFO: [30_4..][epoch: 0, step: 26,200, lr:(9.980e-05,)] [eta: 16:11:53, time (data): 0.564 (0.000)] eagle_pixel_opt: 3.0444e+00 l1_pixel_opt: 2.8817e-02 fft_frequency_opt: 2.0465e-02 +2025-11-01 02:13:25,780 INFO: [30_4..][epoch: 0, step: 26,300, lr:(9.980e-05,)] [eta: 16:10:43, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.7714e+00 l1_pixel_opt: 5.1864e-02 fft_frequency_opt: 3.5922e-02 +2025-11-01 02:14:22,429 INFO: [30_4..][epoch: 0, step: 26,400, lr:(9.980e-05,)] [eta: 16:09:36, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.4849e+00 l1_pixel_opt: 4.2388e-02 fft_frequency_opt: 3.1613e-02 +2025-11-01 02:15:19,310 INFO: [30_4..][epoch: 0, step: 26,500, lr:(9.980e-05,)] [eta: 16:08:29, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.5924e+00 l1_pixel_opt: 4.8963e-02 fft_frequency_opt: 3.5332e-02 +2025-11-01 02:16:15,692 INFO: [30_4..][epoch: 0, step: 26,600, lr:(9.980e-05,)] [eta: 16:07:20, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.7647e+00 l1_pixel_opt: 4.4409e-02 fft_frequency_opt: 3.2779e-02 +2025-11-01 02:17:12,453 INFO: [30_4..][epoch: 0, step: 26,700, lr:(9.980e-05,)] [eta: 16:06:13, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.8342e+00 l1_pixel_opt: 4.2776e-02 fft_frequency_opt: 3.2707e-02 +2025-11-01 02:18:08,646 INFO: [30_4..][epoch: 0, step: 26,800, lr:(9.980e-05,)] [eta: 16:05:04, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.5515e+00 l1_pixel_opt: 3.9529e-02 fft_frequency_opt: 3.0687e-02 +2025-11-01 02:19:04,810 INFO: [30_4..][epoch: 0, step: 26,900, lr:(9.980e-05,)] [eta: 16:03:54, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.2104e+00 l1_pixel_opt: 3.7738e-02 fft_frequency_opt: 2.8342e-02 +2025-11-01 02:20:01,222 INFO: [30_4..][epoch: 0, step: 27,000, lr:(9.980e-05,)] [eta: 16:02:46, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.3674e+00 l1_pixel_opt: 4.1271e-02 fft_frequency_opt: 3.3818e-02 +2025-11-01 02:20:57,343 INFO: [30_4..][epoch: 0, step: 27,100, lr:(9.980e-05,)] [eta: 16:01:37, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.6435e+00 l1_pixel_opt: 3.5916e-02 fft_frequency_opt: 2.5987e-02 +2025-11-01 02:21:53,688 INFO: [30_4..][epoch: 0, step: 27,200, lr:(9.980e-05,)] [eta: 16:00:29, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.9177e+00 l1_pixel_opt: 3.3748e-02 fft_frequency_opt: 2.5746e-02 +2025-11-01 02:22:49,839 INFO: [30_4..][epoch: 0, step: 27,300, lr:(9.980e-05,)] [eta: 15:59:20, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.8205e+00 l1_pixel_opt: 3.5888e-02 fft_frequency_opt: 2.6656e-02 +2025-11-01 02:23:46,063 INFO: [30_4..][epoch: 0, step: 27,400, lr:(9.980e-05,)] [eta: 15:58:11, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.5123e+00 l1_pixel_opt: 4.9304e-02 fft_frequency_opt: 3.3717e-02 +2025-11-01 02:24:42,382 INFO: [30_4..][epoch: 0, step: 27,500, lr:(9.980e-05,)] [eta: 15:57:03, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.5887e+00 l1_pixel_opt: 4.1590e-02 fft_frequency_opt: 3.1650e-02 +2025-11-01 02:25:38,263 INFO: [30_4..][epoch: 0, step: 27,600, lr:(9.980e-05,)] [eta: 15:55:54, time (data): 0.558 (0.000)] eagle_pixel_opt: 7.2226e+00 l1_pixel_opt: 4.7677e-02 fft_frequency_opt: 3.3885e-02 +2025-11-01 02:26:35,134 INFO: [30_4..][epoch: 0, step: 27,700, lr:(9.980e-05,)] [eta: 15:54:48, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.3232e+00 l1_pixel_opt: 4.6660e-02 fft_frequency_opt: 3.5193e-02 +2025-11-01 02:27:31,932 INFO: [30_4..][epoch: 0, step: 27,800, lr:(9.980e-05,)] [eta: 15:53:42, time (data): 0.568 (0.000)] eagle_pixel_opt: 6.4373e+00 l1_pixel_opt: 4.5838e-02 fft_frequency_opt: 3.4886e-02 +2025-11-01 02:28:27,823 INFO: [30_4..][epoch: 0, step: 27,900, lr:(9.980e-05,)] [eta: 15:52:32, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.6815e+00 l1_pixel_opt: 4.2192e-02 fft_frequency_opt: 3.1431e-02 +2025-11-01 02:29:24,091 INFO: [30_4..][epoch: 0, step: 28,000, lr:(9.980e-05,)] [eta: 15:51:25, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.7343e+00 l1_pixel_opt: 3.3655e-02 fft_frequency_opt: 2.5501e-02 +2025-11-01 02:30:20,423 INFO: [30_4..][epoch: 0, step: 28,100, lr:(9.980e-05,)] [eta: 15:50:17, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4837e+00 l1_pixel_opt: 4.3855e-02 fft_frequency_opt: 3.3092e-02 +2025-11-01 02:31:19,077 INFO: [30_4..][epoch: 0, step: 28,200, lr:(9.980e-05,)] [eta: 15:49:18, time (data): 0.567 (0.000)] eagle_pixel_opt: 6.7236e+00 l1_pixel_opt: 4.1617e-02 fft_frequency_opt: 3.4021e-02 +2025-11-01 02:32:15,541 INFO: [30_4..][epoch: 0, step: 28,300, lr:(9.980e-05,)] [eta: 15:48:11, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.3955e+00 l1_pixel_opt: 3.5847e-02 fft_frequency_opt: 2.8718e-02 +2025-11-01 02:33:11,697 INFO: [30_4..][epoch: 0, step: 28,400, lr:(9.980e-05,)] [eta: 15:47:03, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.1827e+00 l1_pixel_opt: 4.3070e-02 fft_frequency_opt: 3.4090e-02 +2025-11-01 02:34:08,380 INFO: [30_4..][epoch: 0, step: 28,500, lr:(9.980e-05,)] [eta: 15:45:57, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.1682e+00 l1_pixel_opt: 4.5697e-02 fft_frequency_opt: 3.6138e-02 +2025-11-01 02:35:04,929 INFO: [30_4..][epoch: 0, step: 28,600, lr:(9.980e-05,)] [eta: 15:44:50, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.3716e+00 l1_pixel_opt: 5.6672e-02 fft_frequency_opt: 3.8855e-02 +2025-11-01 02:36:00,910 INFO: [30_4..][epoch: 0, step: 28,700, lr:(9.980e-05,)] [eta: 15:43:42, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.4681e+00 l1_pixel_opt: 3.7633e-02 fft_frequency_opt: 2.8659e-02 +2025-11-01 02:36:56,986 INFO: [30_4..][epoch: 0, step: 28,800, lr:(9.980e-05,)] [eta: 15:42:34, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.5280e+00 l1_pixel_opt: 4.6451e-02 fft_frequency_opt: 3.2214e-02 +2025-11-01 02:37:53,260 INFO: [30_4..][epoch: 0, step: 28,900, lr:(9.980e-05,)] [eta: 15:41:27, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.7439e+00 l1_pixel_opt: 4.1691e-02 fft_frequency_opt: 3.2949e-02 +2025-11-01 02:38:49,561 INFO: [30_4..][epoch: 0, step: 29,000, lr:(9.980e-05,)] [eta: 15:40:20, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.5074e+00 l1_pixel_opt: 4.5523e-02 fft_frequency_opt: 3.3362e-02 +2025-11-01 02:39:45,952 INFO: [30_4..][epoch: 0, step: 29,100, lr:(9.980e-05,)] [eta: 15:39:13, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.7599e+00 l1_pixel_opt: 4.7555e-02 fft_frequency_opt: 3.3352e-02 +2025-11-01 02:40:42,304 INFO: [30_4..][epoch: 0, step: 29,200, lr:(9.980e-05,)] [eta: 15:38:07, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.6227e+00 l1_pixel_opt: 2.7324e-02 fft_frequency_opt: 2.1325e-02 +2025-11-01 02:41:38,667 INFO: [30_4..][epoch: 0, step: 29,300, lr:(9.980e-05,)] [eta: 15:37:00, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.3124e+00 l1_pixel_opt: 4.9938e-02 fft_frequency_opt: 3.6582e-02 +2025-11-01 02:42:34,439 INFO: [30_4..][epoch: 0, step: 29,400, lr:(9.980e-05,)] [eta: 15:35:52, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.7412e+00 l1_pixel_opt: 3.5543e-02 fft_frequency_opt: 2.8305e-02 +2025-11-01 02:43:30,580 INFO: [30_4..][epoch: 0, step: 29,500, lr:(9.980e-05,)] [eta: 15:34:44, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1154e+00 l1_pixel_opt: 5.1022e-02 fft_frequency_opt: 3.5074e-02 +2025-11-01 02:44:26,630 INFO: [30_4..][epoch: 0, step: 29,600, lr:(9.980e-05,)] [eta: 15:33:37, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.5937e+00 l1_pixel_opt: 4.9172e-02 fft_frequency_opt: 3.8202e-02 +2025-11-01 02:45:22,914 INFO: [30_4..][epoch: 0, step: 29,700, lr:(9.980e-05,)] [eta: 15:32:31, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.8917e+00 l1_pixel_opt: 3.7021e-02 fft_frequency_opt: 2.7696e-02 +2025-11-01 02:46:18,592 INFO: [30_4..][epoch: 0, step: 29,800, lr:(9.980e-05,)] [eta: 15:31:22, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.9232e+00 l1_pixel_opt: 3.7495e-02 fft_frequency_opt: 2.8159e-02 +2025-11-01 02:47:15,706 INFO: [30_4..][epoch: 0, step: 29,900, lr:(9.980e-05,)] [eta: 15:30:18, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.4754e+00 l1_pixel_opt: 3.8155e-02 fft_frequency_opt: 2.8501e-02 +2025-11-01 02:48:12,335 INFO: [30_4..][epoch: 0, step: 30,000, lr:(9.980e-05,)] [eta: 15:29:13, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.1581e+00 l1_pixel_opt: 3.3311e-02 fft_frequency_opt: 2.4534e-02 +2025-11-01 02:48:12,337 INFO: Saving models and training states. +2025-11-01 02:50:23,218 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2429 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0959 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.1937 Best: 33.1937 @ 30000 iter + +2025-11-01 02:51:19,948 INFO: [30_4..][epoch: 0, step: 30,100, lr:(9.980e-05,)] [eta: 15:35:01, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.9213e+00 l1_pixel_opt: 4.3627e-02 fft_frequency_opt: 3.2091e-02 +2025-11-01 02:52:16,642 INFO: [30_4..][epoch: 0, step: 30,200, lr:(9.980e-05,)] [eta: 15:33:54, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.1442e+00 l1_pixel_opt: 3.7053e-02 fft_frequency_opt: 2.8613e-02 +2025-11-01 02:53:12,959 INFO: [30_4..][epoch: 0, step: 30,300, lr:(9.980e-05,)] [eta: 15:32:46, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.2040e+00 l1_pixel_opt: 3.9432e-02 fft_frequency_opt: 2.7987e-02 +2025-11-01 02:54:09,213 INFO: [30_4..][epoch: 0, step: 30,400, lr:(9.980e-05,)] [eta: 15:31:38, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.8767e+00 l1_pixel_opt: 5.2026e-02 fft_frequency_opt: 3.9620e-02 +2025-11-01 02:55:05,440 INFO: [30_4..][epoch: 0, step: 30,500, lr:(9.980e-05,)] [eta: 15:30:30, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.2649e+00 l1_pixel_opt: 4.9226e-02 fft_frequency_opt: 3.6695e-02 +2025-11-01 02:56:01,523 INFO: [30_4..][epoch: 0, step: 30,600, lr:(9.980e-05,)] [eta: 15:29:22, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.0295e+00 l1_pixel_opt: 2.6993e-02 fft_frequency_opt: 2.2327e-02 +2025-11-01 02:56:58,339 INFO: [30_4..][epoch: 0, step: 30,700, lr:(9.980e-05,)] [eta: 15:28:16, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.9915e+00 l1_pixel_opt: 4.2752e-02 fft_frequency_opt: 2.9135e-02 +2025-11-01 02:57:54,286 INFO: [30_4..][epoch: 0, step: 30,800, lr:(9.980e-05,)] [eta: 15:27:08, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.3655e+00 l1_pixel_opt: 3.3322e-02 fft_frequency_opt: 2.5401e-02 +2025-11-01 02:58:50,911 INFO: [30_4..][epoch: 0, step: 30,900, lr:(9.980e-05,)] [eta: 15:26:01, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.0816e+00 l1_pixel_opt: 4.1537e-02 fft_frequency_opt: 2.8018e-02 +2025-11-01 02:59:46,972 INFO: [30_4..][epoch: 0, step: 31,000, lr:(9.980e-05,)] [eta: 15:24:53, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.7379e+00 l1_pixel_opt: 5.0545e-02 fft_frequency_opt: 4.0633e-02 +2025-11-01 03:00:43,890 INFO: [30_4..][epoch: 0, step: 31,100, lr:(9.980e-05,)] [eta: 15:23:48, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.8000e+00 l1_pixel_opt: 2.8795e-02 fft_frequency_opt: 2.5785e-02 +2025-11-01 03:01:40,579 INFO: [30_4..][epoch: 0, step: 31,200, lr:(9.980e-05,)] [eta: 15:22:41, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.5174e+00 l1_pixel_opt: 3.7759e-02 fft_frequency_opt: 2.8986e-02 +2025-11-01 03:02:37,489 INFO: [30_4..][epoch: 0, step: 31,300, lr:(9.980e-05,)] [eta: 15:21:36, time (data): 0.569 (0.000)] eagle_pixel_opt: 7.4450e+00 l1_pixel_opt: 4.9528e-02 fft_frequency_opt: 3.6028e-02 +2025-11-01 03:03:34,066 INFO: [30_4..][epoch: 0, step: 31,400, lr:(9.980e-05,)] [eta: 15:20:30, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.9160e+00 l1_pixel_opt: 4.7819e-02 fft_frequency_opt: 3.5269e-02 +2025-11-01 03:04:30,704 INFO: [30_4..][epoch: 0, step: 31,500, lr:(9.980e-05,)] [eta: 15:19:24, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.0672e+00 l1_pixel_opt: 3.1747e-02 fft_frequency_opt: 2.6889e-02 +2025-11-01 03:05:27,151 INFO: [30_4..][epoch: 0, step: 31,600, lr:(9.980e-05,)] [eta: 15:18:17, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.9002e+00 l1_pixel_opt: 4.0342e-02 fft_frequency_opt: 3.0165e-02 +2025-11-01 03:06:23,077 INFO: [30_4..][epoch: 0, step: 31,700, lr:(9.980e-05,)] [eta: 15:17:09, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.2643e+00 l1_pixel_opt: 4.0583e-02 fft_frequency_opt: 3.2212e-02 +2025-11-01 03:07:18,800 INFO: [30_4..][epoch: 0, step: 31,800, lr:(9.980e-05,)] [eta: 15:16:01, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.8164e+00 l1_pixel_opt: 3.9036e-02 fft_frequency_opt: 3.0052e-02 +2025-11-01 03:08:16,226 INFO: [30_4..][epoch: 0, step: 31,900, lr:(9.980e-05,)] [eta: 15:14:57, time (data): 0.571 (0.000)] eagle_pixel_opt: 5.3044e+00 l1_pixel_opt: 3.9332e-02 fft_frequency_opt: 2.9134e-02 +2025-11-01 03:09:12,836 INFO: [30_4..][epoch: 0, step: 32,000, lr:(9.980e-05,)] [eta: 15:13:51, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.8407e+00 l1_pixel_opt: 4.0664e-02 fft_frequency_opt: 3.0919e-02 +2025-11-01 03:10:09,338 INFO: [30_4..][epoch: 0, step: 32,100, lr:(9.980e-05,)] [eta: 15:12:45, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6496e+00 l1_pixel_opt: 4.3320e-02 fft_frequency_opt: 3.2641e-02 +2025-11-01 03:11:05,985 INFO: [30_4..][epoch: 0, step: 32,200, lr:(9.980e-05,)] [eta: 15:11:40, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.2458e+00 l1_pixel_opt: 4.9338e-02 fft_frequency_opt: 3.5396e-02 +2025-11-01 03:12:02,348 INFO: [30_4..][epoch: 0, step: 32,300, lr:(9.980e-05,)] [eta: 15:10:33, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.2032e+00 l1_pixel_opt: 3.3654e-02 fft_frequency_opt: 2.4479e-02 +2025-11-01 03:12:58,630 INFO: [30_4..][epoch: 0, step: 32,400, lr:(9.980e-05,)] [eta: 15:09:27, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.8045e+00 l1_pixel_opt: 2.4072e-02 fft_frequency_opt: 2.1011e-02 +2025-11-01 03:13:55,502 INFO: [30_4..][epoch: 0, step: 32,500, lr:(9.980e-05,)] [eta: 15:08:22, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.7459e+00 l1_pixel_opt: 3.8923e-02 fft_frequency_opt: 2.7587e-02 +2025-11-01 03:14:52,675 INFO: [30_4..][epoch: 0, step: 32,600, lr:(9.980e-05,)] [eta: 15:07:18, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.0733e+00 l1_pixel_opt: 3.1792e-02 fft_frequency_opt: 2.6575e-02 +2025-11-01 03:15:49,293 INFO: [30_4..][epoch: 0, step: 32,700, lr:(9.980e-05,)] [eta: 15:06:13, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.5652e+00 l1_pixel_opt: 3.5260e-02 fft_frequency_opt: 2.5784e-02 +2025-11-01 03:16:46,070 INFO: [30_4..][epoch: 0, step: 32,800, lr:(9.980e-05,)] [eta: 15:05:08, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.3201e+00 l1_pixel_opt: 5.0852e-02 fft_frequency_opt: 3.6860e-02 +2025-11-01 03:17:42,813 INFO: [30_4..][epoch: 0, step: 32,900, lr:(9.980e-05,)] [eta: 15:04:03, time (data): 0.567 (0.000)] eagle_pixel_opt: 7.0383e+00 l1_pixel_opt: 4.5628e-02 fft_frequency_opt: 3.4654e-02 +2025-11-01 03:18:39,317 INFO: [30_4..][epoch: 0, step: 33,000, lr:(9.980e-05,)] [eta: 15:02:57, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.3820e+00 l1_pixel_opt: 3.9828e-02 fft_frequency_opt: 2.9474e-02 +2025-11-01 03:19:36,135 INFO: [30_4..][epoch: 0, step: 33,100, lr:(9.980e-05,)] [eta: 15:01:53, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.8722e+00 l1_pixel_opt: 4.1086e-02 fft_frequency_opt: 3.2580e-02 +2025-11-01 03:20:32,420 INFO: [30_4..][epoch: 0, step: 33,200, lr:(9.980e-05,)] [eta: 15:00:47, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.4799e+00 l1_pixel_opt: 5.3153e-02 fft_frequency_opt: 3.5576e-02 +2025-11-01 03:21:29,167 INFO: [30_4..][epoch: 0, step: 33,300, lr:(9.980e-05,)] [eta: 14:59:42, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.4430e+00 l1_pixel_opt: 4.5929e-02 fft_frequency_opt: 3.4800e-02 +2025-11-01 03:22:25,685 INFO: [30_4..][epoch: 0, step: 33,400, lr:(9.980e-05,)] [eta: 14:58:37, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.3685e+00 l1_pixel_opt: 5.3914e-02 fft_frequency_opt: 3.6664e-02 +2025-11-01 03:23:23,120 INFO: [30_4..][epoch: 0, step: 33,500, lr:(9.980e-05,)] [eta: 14:57:34, time (data): 0.572 (0.000)] eagle_pixel_opt: 8.4956e+00 l1_pixel_opt: 5.0665e-02 fft_frequency_opt: 3.7176e-02 +2025-11-01 03:24:19,763 INFO: [30_4..][epoch: 0, step: 33,600, lr:(9.980e-05,)] [eta: 14:56:29, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.7132e+00 l1_pixel_opt: 4.9043e-02 fft_frequency_opt: 3.5383e-02 +2025-11-01 03:25:16,053 INFO: [30_4..][epoch: 0, step: 33,700, lr:(9.980e-05,)] [eta: 14:55:23, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.9134e+00 l1_pixel_opt: 5.0861e-02 fft_frequency_opt: 3.9111e-02 +2025-11-01 03:26:12,312 INFO: [30_4..][epoch: 0, step: 33,800, lr:(9.980e-05,)] [eta: 14:54:17, time (data): 0.561 (0.000)] eagle_pixel_opt: 3.9523e+00 l1_pixel_opt: 4.1824e-02 fft_frequency_opt: 2.6953e-02 +2025-11-01 03:27:08,729 INFO: [30_4..][epoch: 0, step: 33,900, lr:(9.980e-05,)] [eta: 14:53:12, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.8408e+00 l1_pixel_opt: 4.8432e-02 fft_frequency_opt: 3.6522e-02 +2025-11-01 03:28:04,726 INFO: [30_4..][epoch: 0, step: 34,000, lr:(9.980e-05,)] [eta: 14:52:06, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4521e+00 l1_pixel_opt: 5.0682e-02 fft_frequency_opt: 3.6614e-02 +2025-11-01 03:29:01,366 INFO: [30_4..][epoch: 0, step: 34,100, lr:(9.980e-05,)] [eta: 14:51:01, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.0784e+00 l1_pixel_opt: 5.1114e-02 fft_frequency_opt: 3.5077e-02 +2025-11-01 03:29:57,662 INFO: [30_4..][epoch: 0, step: 34,200, lr:(9.980e-05,)] [eta: 14:49:55, time (data): 0.572 (0.000)] eagle_pixel_opt: 5.9263e+00 l1_pixel_opt: 3.8698e-02 fft_frequency_opt: 3.2050e-02 +2025-11-01 03:30:54,114 INFO: [30_4..][epoch: 0, step: 34,300, lr:(9.980e-05,)] [eta: 14:48:50, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.7215e+00 l1_pixel_opt: 3.9610e-02 fft_frequency_opt: 3.1019e-02 +2025-11-01 03:31:50,748 INFO: [30_4..][epoch: 0, step: 34,400, lr:(9.980e-05,)] [eta: 14:47:46, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.1090e+00 l1_pixel_opt: 4.0703e-02 fft_frequency_opt: 2.8323e-02 +2025-11-01 03:32:46,612 INFO: [30_4..][epoch: 0, step: 34,500, lr:(9.980e-05,)] [eta: 14:46:39, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.9298e+00 l1_pixel_opt: 4.6416e-02 fft_frequency_opt: 2.9337e-02 +2025-11-01 03:33:42,853 INFO: [30_4..][epoch: 0, step: 34,600, lr:(9.980e-05,)] [eta: 14:45:34, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.5312e+00 l1_pixel_opt: 3.7080e-02 fft_frequency_opt: 2.7192e-02 +2025-11-01 03:34:39,548 INFO: [30_4..][epoch: 0, step: 34,700, lr:(9.980e-05,)] [eta: 14:44:30, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.2540e+00 l1_pixel_opt: 4.6376e-02 fft_frequency_opt: 3.5846e-02 +2025-11-01 03:35:37,699 INFO: [30_4..][epoch: 0, step: 34,800, lr:(9.980e-05,)] [eta: 14:43:29, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.1981e+00 l1_pixel_opt: 3.7140e-02 fft_frequency_opt: 2.8125e-02 +2025-11-01 03:36:34,300 INFO: [30_4..][epoch: 0, step: 34,900, lr:(9.980e-05,)] [eta: 14:42:25, time (data): 0.566 (0.000)] eagle_pixel_opt: 7.3667e+00 l1_pixel_opt: 4.9364e-02 fft_frequency_opt: 3.9686e-02 +2025-11-01 03:37:30,335 INFO: [30_4..][epoch: 0, step: 35,000, lr:(9.980e-05,)] [eta: 14:41:19, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.1696e+00 l1_pixel_opt: 2.8287e-02 fft_frequency_opt: 2.3111e-02 +2025-11-01 03:37:30,336 INFO: Saving models and training states. +2025-11-01 03:39:40,308 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2366 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0919 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.2620 Best: 33.2620 @ 35000 iter + +2025-11-01 03:40:36,445 INFO: [30_4..][epoch: 0, step: 35,100, lr:(9.980e-05,)] [eta: 14:45:47, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.8670e+00 l1_pixel_opt: 3.8319e-02 fft_frequency_opt: 2.8035e-02 +2025-11-01 03:41:33,195 INFO: [30_4..][epoch: 0, step: 35,200, lr:(9.980e-05,)] [eta: 14:44:42, time (data): 0.579 (0.000)] eagle_pixel_opt: 5.1318e+00 l1_pixel_opt: 3.7855e-02 fft_frequency_opt: 2.9200e-02 +2025-11-01 03:42:30,446 INFO: [30_4..][epoch: 0, step: 35,300, lr:(9.980e-05,)] [eta: 14:43:38, time (data): 0.574 (0.000)] eagle_pixel_opt: 5.4478e+00 l1_pixel_opt: 4.1146e-02 fft_frequency_opt: 3.0479e-02 +2025-11-01 03:43:26,703 INFO: [30_4..][epoch: 0, step: 35,400, lr:(9.980e-05,)] [eta: 14:42:31, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.9706e+00 l1_pixel_opt: 3.5666e-02 fft_frequency_opt: 2.5329e-02 +2025-11-01 03:44:23,145 INFO: [30_4..][epoch: 0, step: 35,500, lr:(9.980e-05,)] [eta: 14:41:26, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.4496e+00 l1_pixel_opt: 4.3697e-02 fft_frequency_opt: 3.2415e-02 +2025-11-01 03:45:20,215 INFO: [30_4..][epoch: 0, step: 35,600, lr:(9.980e-05,)] [eta: 14:40:21, time (data): 0.578 (0.000)] eagle_pixel_opt: 6.0836e+00 l1_pixel_opt: 3.9573e-02 fft_frequency_opt: 3.0908e-02 +2025-11-01 03:46:16,188 INFO: [30_4..][epoch: 0, step: 35,700, lr:(9.980e-05,)] [eta: 14:39:15, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.2800e+00 l1_pixel_opt: 3.3950e-02 fft_frequency_opt: 2.5610e-02 +2025-11-01 03:47:12,932 INFO: [30_4..][epoch: 0, step: 35,800, lr:(9.980e-05,)] [eta: 14:38:10, time (data): 0.584 (0.000)] eagle_pixel_opt: 7.7262e+00 l1_pixel_opt: 4.5991e-02 fft_frequency_opt: 3.6444e-02 +2025-11-01 03:48:08,646 INFO: [30_4..][epoch: 0, step: 35,900, lr:(9.980e-05,)] [eta: 14:37:02, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.4014e+00 l1_pixel_opt: 3.6839e-02 fft_frequency_opt: 2.9980e-02 +2025-11-01 03:49:05,082 INFO: [30_4..][epoch: 0, step: 36,000, lr:(9.980e-05,)] [eta: 14:35:57, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.8587e+00 l1_pixel_opt: 4.7891e-02 fft_frequency_opt: 3.3082e-02 +2025-11-01 03:50:01,252 INFO: [30_4..][epoch: 0, step: 36,100, lr:(9.980e-05,)] [eta: 14:34:51, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.5175e+00 l1_pixel_opt: 4.6238e-02 fft_frequency_opt: 3.3175e-02 +2025-11-01 03:50:57,194 INFO: [30_4..][epoch: 0, step: 36,200, lr:(9.980e-05,)] [eta: 14:33:44, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.0631e+00 l1_pixel_opt: 4.1313e-02 fft_frequency_opt: 3.3245e-02 +2025-11-01 03:51:53,820 INFO: [30_4..][epoch: 0, step: 36,300, lr:(9.980e-05,)] [eta: 14:32:39, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.2019e+00 l1_pixel_opt: 3.1891e-02 fft_frequency_opt: 2.6383e-02 +2025-11-01 03:52:50,162 INFO: [30_4..][epoch: 0, step: 36,400, lr:(9.980e-05,)] [eta: 14:31:33, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.2763e+00 l1_pixel_opt: 4.4622e-02 fft_frequency_opt: 3.3251e-02 +2025-11-01 03:53:46,615 INFO: [30_4..][epoch: 0, step: 36,500, lr:(9.980e-05,)] [eta: 14:30:28, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.0050e+00 l1_pixel_opt: 3.3192e-02 fft_frequency_opt: 2.4893e-02 +2025-11-01 03:54:42,835 INFO: [30_4..][epoch: 0, step: 36,600, lr:(9.980e-05,)] [eta: 14:29:22, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.4938e+00 l1_pixel_opt: 3.5064e-02 fft_frequency_opt: 2.7178e-02 +2025-11-01 03:55:38,887 INFO: [30_4..][epoch: 0, step: 36,700, lr:(9.980e-05,)] [eta: 14:28:16, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.6275e+00 l1_pixel_opt: 3.9732e-02 fft_frequency_opt: 3.1668e-02 +2025-11-01 03:56:35,096 INFO: [30_4..][epoch: 0, step: 36,800, lr:(9.980e-05,)] [eta: 14:27:11, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.2122e+00 l1_pixel_opt: 4.0618e-02 fft_frequency_opt: 3.2453e-02 +2025-11-01 03:57:31,119 INFO: [30_4..][epoch: 0, step: 36,900, lr:(9.980e-05,)] [eta: 14:26:05, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.7870e+00 l1_pixel_opt: 5.3107e-02 fft_frequency_opt: 3.5212e-02 +2025-11-01 03:58:26,860 INFO: [30_4..][epoch: 0, step: 37,000, lr:(9.980e-05,)] [eta: 14:24:58, time (data): 0.555 (0.000)] eagle_pixel_opt: 6.2676e+00 l1_pixel_opt: 4.1929e-02 fft_frequency_opt: 3.1568e-02 +2025-11-01 03:59:22,915 INFO: [30_4..][epoch: 0, step: 37,100, lr:(9.980e-05,)] [eta: 14:23:52, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.9104e+00 l1_pixel_opt: 4.5144e-02 fft_frequency_opt: 3.5409e-02 +2025-11-01 04:00:19,187 INFO: [30_4..][epoch: 0, step: 37,200, lr:(9.980e-05,)] [eta: 14:22:47, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.8431e+00 l1_pixel_opt: 3.6120e-02 fft_frequency_opt: 2.8274e-02 +2025-11-01 04:01:15,997 INFO: [30_4..][epoch: 0, step: 37,300, lr:(9.980e-05,)] [eta: 14:21:43, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.8105e+00 l1_pixel_opt: 3.8989e-02 fft_frequency_opt: 2.9260e-02 +2025-11-01 04:02:12,423 INFO: [30_4..][epoch: 0, step: 37,400, lr:(9.980e-05,)] [eta: 14:20:38, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.9505e+00 l1_pixel_opt: 5.2979e-02 fft_frequency_opt: 3.6869e-02 +2025-11-01 04:03:08,546 INFO: [30_4..][epoch: 0, step: 37,500, lr:(9.980e-05,)] [eta: 14:19:32, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.8010e+00 l1_pixel_opt: 4.2559e-02 fft_frequency_opt: 3.2584e-02 +2025-11-01 04:04:04,427 INFO: [30_4..][epoch: 0, step: 37,600, lr:(9.980e-05,)] [eta: 14:18:26, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.1423e+00 l1_pixel_opt: 3.1354e-02 fft_frequency_opt: 2.5400e-02 +2025-11-01 04:05:00,234 INFO: [30_4..][epoch: 0, step: 37,700, lr:(9.980e-05,)] [eta: 14:17:20, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.8990e+00 l1_pixel_opt: 4.6607e-02 fft_frequency_opt: 3.4689e-02 +2025-11-01 04:05:56,625 INFO: [30_4..][epoch: 0, step: 37,800, lr:(9.980e-05,)] [eta: 14:16:15, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.3737e+00 l1_pixel_opt: 2.9420e-02 fft_frequency_opt: 2.2672e-02 +2025-11-01 04:06:52,457 INFO: [30_4..][epoch: 0, step: 37,900, lr:(9.980e-05,)] [eta: 14:15:09, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.7885e+00 l1_pixel_opt: 4.3772e-02 fft_frequency_opt: 3.5247e-02 +2025-11-01 04:07:48,224 INFO: [30_4..][epoch: 0, step: 38,000, lr:(9.980e-05,)] [eta: 14:14:03, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.5038e+00 l1_pixel_opt: 3.8625e-02 fft_frequency_opt: 2.9405e-02 +2025-11-01 04:08:44,197 INFO: [30_4..][epoch: 0, step: 38,100, lr:(9.980e-05,)] [eta: 14:12:57, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.2901e+00 l1_pixel_opt: 4.6043e-02 fft_frequency_opt: 3.7464e-02 +2025-11-01 04:09:41,030 INFO: [30_4..][epoch: 0, step: 38,200, lr:(9.980e-05,)] [eta: 14:11:54, time (data): 0.571 (0.000)] eagle_pixel_opt: 6.8535e+00 l1_pixel_opt: 4.5597e-02 fft_frequency_opt: 3.4228e-02 +2025-11-01 04:10:37,081 INFO: [30_4..][epoch: 0, step: 38,300, lr:(9.980e-05,)] [eta: 14:10:49, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.3125e+00 l1_pixel_opt: 3.5741e-02 fft_frequency_opt: 2.6567e-02 +2025-11-01 04:11:33,721 INFO: [30_4..][epoch: 0, step: 38,400, lr:(9.980e-05,)] [eta: 14:09:45, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1582e+00 l1_pixel_opt: 4.0660e-02 fft_frequency_opt: 3.2490e-02 +2025-11-01 04:12:30,063 INFO: [30_4..][epoch: 0, step: 38,500, lr:(9.980e-05,)] [eta: 14:08:40, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.2852e+00 l1_pixel_opt: 4.4421e-02 fft_frequency_opt: 3.2986e-02 +2025-11-01 04:13:27,072 INFO: [30_4..][epoch: 0, step: 38,600, lr:(9.980e-05,)] [eta: 14:07:37, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.4293e+00 l1_pixel_opt: 3.6888e-02 fft_frequency_opt: 2.7674e-02 +2025-11-01 04:14:25,180 INFO: [30_4..][epoch: 0, step: 38,700, lr:(9.980e-05,)] [eta: 14:06:36, time (data): 0.580 (0.000)] eagle_pixel_opt: 5.1639e+00 l1_pixel_opt: 3.9494e-02 fft_frequency_opt: 3.0273e-02 +2025-11-01 04:15:21,285 INFO: [30_4..][epoch: 0, step: 38,800, lr:(9.980e-05,)] [eta: 14:05:32, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.3261e+00 l1_pixel_opt: 3.8226e-02 fft_frequency_opt: 2.8971e-02 +2025-11-01 04:16:17,248 INFO: [30_4..][epoch: 0, step: 38,900, lr:(9.980e-05,)] [eta: 14:04:26, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.0549e+00 l1_pixel_opt: 3.4294e-02 fft_frequency_opt: 2.4319e-02 +2025-11-01 04:17:13,432 INFO: [30_4..][epoch: 0, step: 39,000, lr:(9.980e-05,)] [eta: 14:03:22, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.5077e+00 l1_pixel_opt: 4.0790e-02 fft_frequency_opt: 2.8327e-02 +2025-11-01 04:18:09,235 INFO: [30_4..][epoch: 0, step: 39,100, lr:(9.980e-05,)] [eta: 14:02:16, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.7592e+00 l1_pixel_opt: 3.5940e-02 fft_frequency_opt: 2.8238e-02 +2025-11-01 04:19:05,678 INFO: [30_4..][epoch: 0, step: 39,200, lr:(9.980e-05,)] [eta: 14:01:12, time (data): 0.582 (0.000)] eagle_pixel_opt: 4.3941e+00 l1_pixel_opt: 2.8554e-02 fft_frequency_opt: 2.3957e-02 +2025-11-01 04:20:01,900 INFO: [30_4..][epoch: 0, step: 39,300, lr:(9.980e-05,)] [eta: 14:00:07, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.2400e+00 l1_pixel_opt: 4.0983e-02 fft_frequency_opt: 3.3618e-02 +2025-11-01 04:20:58,153 INFO: [30_4..][epoch: 0, step: 39,400, lr:(9.980e-05,)] [eta: 13:59:03, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.8177e+00 l1_pixel_opt: 5.1442e-02 fft_frequency_opt: 3.5383e-02 +2025-11-01 04:21:54,251 INFO: [30_4..][epoch: 0, step: 39,500, lr:(9.980e-05,)] [eta: 13:57:58, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.4414e+00 l1_pixel_opt: 3.2182e-02 fft_frequency_opt: 2.7693e-02 +2025-11-01 04:22:50,652 INFO: [30_4..][epoch: 0, step: 39,600, lr:(9.980e-05,)] [eta: 13:56:54, time (data): 0.555 (0.000)] eagle_pixel_opt: 7.5374e+00 l1_pixel_opt: 4.3847e-02 fft_frequency_opt: 3.3600e-02 +2025-11-01 04:23:47,155 INFO: [30_4..][epoch: 0, step: 39,700, lr:(9.980e-05,)] [eta: 13:55:51, time (data): 0.565 (0.000)] eagle_pixel_opt: 3.1916e+00 l1_pixel_opt: 2.5904e-02 fft_frequency_opt: 2.0296e-02 +2025-11-01 04:24:43,282 INFO: [30_4..][epoch: 0, step: 39,800, lr:(9.980e-05,)] [eta: 13:54:46, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.3198e+00 l1_pixel_opt: 4.4219e-02 fft_frequency_opt: 3.1865e-02 +2025-11-01 04:25:39,449 INFO: [30_4..][epoch: 0, step: 39,900, lr:(9.980e-05,)] [eta: 13:53:42, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.1240e+00 l1_pixel_opt: 4.0632e-02 fft_frequency_opt: 3.1678e-02 +2025-11-01 04:26:35,629 INFO: [30_4..][epoch: 0, step: 40,000, lr:(9.980e-05,)] [eta: 13:52:37, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.0058e+00 l1_pixel_opt: 4.3942e-02 fft_frequency_opt: 3.1555e-02 +2025-11-01 04:26:35,631 INFO: Saving models and training states. +2025-11-01 04:28:41,624 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2315 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0887 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.3167 Best: 33.3167 @ 40000 iter + +2025-11-01 04:29:37,893 INFO: [30_4..][epoch: 0, step: 40,100, lr:(9.980e-05,)] [eta: 13:56:00, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.8122e+00 l1_pixel_opt: 4.4199e-02 fft_frequency_opt: 2.9791e-02 +2025-11-01 04:30:34,294 INFO: [30_4..][epoch: 0, step: 40,200, lr:(9.980e-05,)] [eta: 13:54:55, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.9790e+00 l1_pixel_opt: 4.2581e-02 fft_frequency_opt: 2.9947e-02 +2025-11-01 04:31:30,887 INFO: [30_4..][epoch: 0, step: 40,300, lr:(9.980e-05,)] [eta: 13:53:51, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.4966e+00 l1_pixel_opt: 4.4674e-02 fft_frequency_opt: 3.3896e-02 +2025-11-01 04:32:27,675 INFO: [30_4..][epoch: 0, step: 40,400, lr:(9.980e-05,)] [eta: 13:52:47, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.3555e+00 l1_pixel_opt: 3.2588e-02 fft_frequency_opt: 2.5394e-02 +2025-11-01 04:33:24,520 INFO: [30_4..][epoch: 0, step: 40,500, lr:(9.980e-05,)] [eta: 13:51:44, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.6777e+00 l1_pixel_opt: 4.4549e-02 fft_frequency_opt: 3.2295e-02 +2025-11-01 04:34:21,545 INFO: [30_4..][epoch: 0, step: 40,600, lr:(9.980e-05,)] [eta: 13:50:40, time (data): 0.569 (0.000)] eagle_pixel_opt: 7.6262e+00 l1_pixel_opt: 4.3763e-02 fft_frequency_opt: 3.5863e-02 +2025-11-01 04:35:17,474 INFO: [30_4..][epoch: 0, step: 40,700, lr:(9.980e-05,)] [eta: 13:49:35, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.5343e+00 l1_pixel_opt: 4.5031e-02 fft_frequency_opt: 3.6530e-02 +2025-11-01 04:36:14,345 INFO: [30_4..][epoch: 0, step: 40,800, lr:(9.980e-05,)] [eta: 13:48:31, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.7749e+00 l1_pixel_opt: 3.5831e-02 fft_frequency_opt: 2.6470e-02 +2025-11-01 04:37:10,529 INFO: [30_4..][epoch: 0, step: 40,900, lr:(9.980e-05,)] [eta: 13:47:26, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.0281e+00 l1_pixel_opt: 4.4916e-02 fft_frequency_opt: 3.3931e-02 +2025-11-01 04:38:06,417 INFO: [30_4..][epoch: 0, step: 41,000, lr:(9.980e-05,)] [eta: 13:46:21, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.7850e+00 l1_pixel_opt: 3.5957e-02 fft_frequency_opt: 2.7424e-02 +2025-11-01 04:39:02,300 INFO: [30_4..][epoch: 0, step: 41,100, lr:(9.980e-05,)] [eta: 13:45:15, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.4473e+00 l1_pixel_opt: 4.2982e-02 fft_frequency_opt: 3.1727e-02 +2025-11-01 04:39:58,130 INFO: [30_4..][epoch: 0, step: 41,200, lr:(9.980e-05,)] [eta: 13:44:10, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.9873e+00 l1_pixel_opt: 4.5472e-02 fft_frequency_opt: 3.3413e-02 +2025-11-01 04:40:54,250 INFO: [30_4..][epoch: 0, step: 41,300, lr:(9.980e-05,)] [eta: 13:43:05, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.0455e+00 l1_pixel_opt: 3.6677e-02 fft_frequency_opt: 2.9921e-02 +2025-11-01 04:41:50,397 INFO: [30_4..][epoch: 0, step: 41,400, lr:(9.980e-05,)] [eta: 13:42:00, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.5323e+00 l1_pixel_opt: 5.0558e-02 fft_frequency_opt: 3.5122e-02 +2025-11-01 04:42:46,262 INFO: [30_4..][epoch: 0, step: 41,500, lr:(9.980e-05,)] [eta: 13:40:55, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.0138e+00 l1_pixel_opt: 3.9915e-02 fft_frequency_opt: 2.9640e-02 +2025-11-01 04:43:42,421 INFO: [30_4..][epoch: 0, step: 41,600, lr:(9.980e-05,)] [eta: 13:39:50, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.6394e+00 l1_pixel_opt: 3.8155e-02 fft_frequency_opt: 2.7540e-02 +2025-11-01 04:44:38,051 INFO: [30_4..][epoch: 0, step: 41,700, lr:(9.980e-05,)] [eta: 13:38:45, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.2676e+00 l1_pixel_opt: 3.9096e-02 fft_frequency_opt: 3.1036e-02 +2025-11-01 04:45:33,909 INFO: [30_4..][epoch: 0, step: 41,800, lr:(9.980e-05,)] [eta: 13:37:39, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.3585e+00 l1_pixel_opt: 3.4988e-02 fft_frequency_opt: 2.6819e-02 +2025-11-01 04:46:30,017 INFO: [30_4..][epoch: 0, step: 41,900, lr:(9.980e-05,)] [eta: 13:36:35, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.1807e+00 l1_pixel_opt: 4.4831e-02 fft_frequency_opt: 3.4935e-02 +2025-11-01 04:47:25,987 INFO: [30_4..][epoch: 0, step: 42,000, lr:(9.980e-05,)] [eta: 13:35:30, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.6746e+00 l1_pixel_opt: 4.6341e-02 fft_frequency_opt: 3.2557e-02 +2025-11-01 04:48:22,216 INFO: [30_4..][epoch: 0, step: 42,100, lr:(9.980e-05,)] [eta: 13:34:26, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.2917e+00 l1_pixel_opt: 4.9295e-02 fft_frequency_opt: 3.8534e-02 +2025-11-01 04:49:17,936 INFO: [30_4..][epoch: 0, step: 42,200, lr:(9.980e-05,)] [eta: 13:33:20, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.4993e+00 l1_pixel_opt: 3.7409e-02 fft_frequency_opt: 2.9333e-02 +2025-11-01 04:50:14,925 INFO: [30_4..][epoch: 0, step: 42,300, lr:(9.980e-05,)] [eta: 13:32:18, time (data): 0.571 (0.000)] eagle_pixel_opt: 6.5414e+00 l1_pixel_opt: 4.3044e-02 fft_frequency_opt: 3.3403e-02 +2025-11-01 04:51:11,600 INFO: [30_4..][epoch: 0, step: 42,400, lr:(9.980e-05,)] [eta: 13:31:14, time (data): 0.569 (0.000)] eagle_pixel_opt: 4.9566e+00 l1_pixel_opt: 3.4797e-02 fft_frequency_opt: 2.8557e-02 +2025-11-01 04:52:09,099 INFO: [30_4..][epoch: 0, step: 42,500, lr:(9.980e-05,)] [eta: 13:30:13, time (data): 0.577 (0.000)] eagle_pixel_opt: 5.9785e+00 l1_pixel_opt: 3.9390e-02 fft_frequency_opt: 3.1067e-02 +2025-11-01 04:53:05,346 INFO: [30_4..][epoch: 0, step: 42,600, lr:(9.980e-05,)] [eta: 13:29:08, time (data): 0.569 (0.000)] eagle_pixel_opt: 8.1297e+00 l1_pixel_opt: 6.0018e-02 fft_frequency_opt: 4.0796e-02 +2025-11-01 04:54:02,266 INFO: [30_4..][epoch: 0, step: 42,700, lr:(9.980e-05,)] [eta: 13:28:06, time (data): 0.568 (0.000)] eagle_pixel_opt: 4.9790e+00 l1_pixel_opt: 3.5184e-02 fft_frequency_opt: 2.9167e-02 +2025-11-01 04:54:58,324 INFO: [30_4..][epoch: 0, step: 42,800, lr:(9.980e-05,)] [eta: 13:27:01, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.8417e+00 l1_pixel_opt: 4.0023e-02 fft_frequency_opt: 3.0956e-02 +2025-11-01 04:55:53,940 INFO: [30_4..][epoch: 0, step: 42,900, lr:(9.980e-05,)] [eta: 13:25:56, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.3482e+00 l1_pixel_opt: 3.5614e-02 fft_frequency_opt: 2.5932e-02 +2025-11-01 04:56:49,856 INFO: [30_4..][epoch: 0, step: 43,000, lr:(9.980e-05,)] [eta: 13:24:51, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.2452e+00 l1_pixel_opt: 4.3940e-02 fft_frequency_opt: 3.1117e-02 +2025-11-01 04:57:45,732 INFO: [30_4..][epoch: 0, step: 43,100, lr:(9.980e-05,)] [eta: 13:23:47, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.6365e+00 l1_pixel_opt: 5.2726e-02 fft_frequency_opt: 3.6859e-02 +2025-11-01 04:58:41,519 INFO: [30_4..][epoch: 0, step: 43,200, lr:(9.980e-05,)] [eta: 13:22:42, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.2501e+00 l1_pixel_opt: 3.5216e-02 fft_frequency_opt: 2.7159e-02 +2025-11-01 04:59:38,576 INFO: [30_4..][epoch: 0, step: 43,300, lr:(9.980e-05,)] [eta: 13:21:40, time (data): 0.573 (0.000)] eagle_pixel_opt: 4.9695e+00 l1_pixel_opt: 3.7561e-02 fft_frequency_opt: 2.8678e-02 +2025-11-01 05:00:34,906 INFO: [30_4..][epoch: 0, step: 43,400, lr:(9.980e-05,)] [eta: 13:20:36, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.8524e+00 l1_pixel_opt: 4.1371e-02 fft_frequency_opt: 3.0330e-02 +2025-11-01 05:01:31,513 INFO: [30_4..][epoch: 0, step: 43,500, lr:(9.980e-05,)] [eta: 13:19:33, time (data): 0.568 (0.000)] eagle_pixel_opt: 7.4944e+00 l1_pixel_opt: 5.1728e-02 fft_frequency_opt: 3.7577e-02 +2025-11-01 05:02:27,335 INFO: [30_4..][epoch: 0, step: 43,600, lr:(9.980e-05,)] [eta: 13:18:28, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.8706e+00 l1_pixel_opt: 3.8449e-02 fft_frequency_opt: 3.2720e-02 +2025-11-01 05:03:23,413 INFO: [30_4..][epoch: 0, step: 43,700, lr:(9.980e-05,)] [eta: 13:17:24, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.3295e+00 l1_pixel_opt: 5.0938e-02 fft_frequency_opt: 3.5392e-02 +2025-11-01 05:04:18,931 INFO: [30_4..][epoch: 0, step: 43,800, lr:(9.980e-05,)] [eta: 13:16:19, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.8294e+00 l1_pixel_opt: 4.0271e-02 fft_frequency_opt: 3.0922e-02 +2025-11-01 05:05:14,502 INFO: [30_4..][epoch: 0, step: 43,900, lr:(9.980e-05,)] [eta: 13:15:14, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.7745e+00 l1_pixel_opt: 5.2519e-02 fft_frequency_opt: 3.4116e-02 +2025-11-01 05:06:10,069 INFO: [30_4..][epoch: 0, step: 44,000, lr:(9.980e-05,)] [eta: 13:14:10, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.9789e+00 l1_pixel_opt: 4.4156e-02 fft_frequency_opt: 3.1862e-02 +2025-11-01 05:07:05,631 INFO: [30_4..][epoch: 0, step: 44,100, lr:(9.980e-05,)] [eta: 13:13:05, time (data): 0.556 (0.000)] eagle_pixel_opt: 7.0977e+00 l1_pixel_opt: 5.0641e-02 fft_frequency_opt: 3.7478e-02 +2025-11-01 05:08:01,191 INFO: [30_4..][epoch: 0, step: 44,200, lr:(9.980e-05,)] [eta: 13:12:00, time (data): 0.556 (0.000)] eagle_pixel_opt: 7.3076e+00 l1_pixel_opt: 5.3167e-02 fft_frequency_opt: 3.7607e-02 +2025-11-01 05:08:56,755 INFO: [30_4..][epoch: 0, step: 44,300, lr:(9.980e-05,)] [eta: 13:10:55, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.1963e+00 l1_pixel_opt: 4.4748e-02 fft_frequency_opt: 3.2100e-02 +2025-11-01 05:09:52,418 INFO: [30_4..][epoch: 0, step: 44,400, lr:(9.980e-05,)] [eta: 13:09:51, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.5096e+00 l1_pixel_opt: 3.8238e-02 fft_frequency_opt: 3.0480e-02 +2025-11-01 05:10:48,089 INFO: [30_4..][epoch: 0, step: 44,500, lr:(9.980e-05,)] [eta: 13:08:46, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.8444e+00 l1_pixel_opt: 5.0520e-02 fft_frequency_opt: 3.8904e-02 +2025-11-01 05:11:43,948 INFO: [30_4..][epoch: 0, step: 44,600, lr:(9.980e-05,)] [eta: 13:07:42, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.0806e+00 l1_pixel_opt: 4.2692e-02 fft_frequency_opt: 3.1095e-02 +2025-11-01 05:12:39,679 INFO: [30_4..][epoch: 0, step: 44,700, lr:(9.980e-05,)] [eta: 13:06:38, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.1275e+00 l1_pixel_opt: 4.2078e-02 fft_frequency_opt: 3.1595e-02 +2025-11-01 05:13:35,268 INFO: [30_4..][epoch: 0, step: 44,800, lr:(9.980e-05,)] [eta: 13:05:33, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.7612e+00 l1_pixel_opt: 4.9423e-02 fft_frequency_opt: 3.4762e-02 +2025-11-01 05:14:30,837 INFO: [30_4..][epoch: 0, step: 44,900, lr:(9.980e-05,)] [eta: 13:04:29, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.1891e+00 l1_pixel_opt: 4.5303e-02 fft_frequency_opt: 3.1398e-02 +2025-11-01 05:15:26,440 INFO: [30_4..][epoch: 0, step: 45,000, lr:(9.980e-05,)] [eta: 13:03:25, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.7377e+00 l1_pixel_opt: 3.4290e-02 fft_frequency_opt: 2.6442e-02 +2025-11-01 05:15:26,442 INFO: Saving models and training states. +2025-11-01 05:17:37,006 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2279 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0867 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.3656 Best: 33.3656 @ 45000 iter + +2025-11-01 05:18:32,545 INFO: [30_4..][epoch: 0, step: 45,100, lr:(9.980e-05,)] [eta: 13:06:11, time (data): 0.555 (0.000)] eagle_pixel_opt: 7.4126e+00 l1_pixel_opt: 5.1699e-02 fft_frequency_opt: 3.7415e-02 +2025-11-01 05:19:28,190 INFO: [30_4..][epoch: 0, step: 45,200, lr:(9.980e-05,)] [eta: 13:05:06, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.2528e+00 l1_pixel_opt: 3.8857e-02 fft_frequency_opt: 3.0708e-02 +2025-11-01 05:20:23,889 INFO: [30_4..][epoch: 0, step: 45,300, lr:(9.980e-05,)] [eta: 13:04:02, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.1487e+00 l1_pixel_opt: 3.4994e-02 fft_frequency_opt: 2.7347e-02 +2025-11-01 05:21:19,429 INFO: [30_4..][epoch: 0, step: 45,400, lr:(9.980e-05,)] [eta: 13:02:56, time (data): 0.556 (0.000)] eagle_pixel_opt: 7.0613e+00 l1_pixel_opt: 5.4272e-02 fft_frequency_opt: 3.9895e-02 +2025-11-01 05:22:15,479 INFO: [30_4..][epoch: 0, step: 45,500, lr:(9.980e-05,)] [eta: 13:01:52, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.2270e+00 l1_pixel_opt: 3.6901e-02 fft_frequency_opt: 2.6953e-02 +2025-11-01 05:23:11,956 INFO: [30_4..][epoch: 0, step: 45,600, lr:(9.980e-05,)] [eta: 13:00:49, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.0447e+00 l1_pixel_opt: 4.4468e-02 fft_frequency_opt: 3.3630e-02 +2025-11-01 05:24:07,817 INFO: [30_4..][epoch: 0, step: 45,700, lr:(9.980e-05,)] [eta: 12:59:44, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.0297e+00 l1_pixel_opt: 3.6852e-02 fft_frequency_opt: 2.8942e-02 +2025-11-01 05:25:03,576 INFO: [30_4..][epoch: 0, step: 45,800, lr:(9.980e-05,)] [eta: 12:58:40, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.9762e+00 l1_pixel_opt: 3.6515e-02 fft_frequency_opt: 2.7479e-02 +2025-11-01 05:25:59,704 INFO: [30_4..][epoch: 0, step: 45,900, lr:(9.980e-05,)] [eta: 12:57:36, time (data): 0.564 (0.000)] eagle_pixel_opt: 3.3545e+00 l1_pixel_opt: 3.0786e-02 fft_frequency_opt: 2.1765e-02 +2025-11-01 05:26:55,510 INFO: [30_4..][epoch: 0, step: 46,000, lr:(9.980e-05,)] [eta: 12:56:31, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.0585e+00 l1_pixel_opt: 2.9985e-02 fft_frequency_opt: 2.3536e-02 +2025-11-01 05:27:51,338 INFO: [30_4..][epoch: 0, step: 46,100, lr:(9.980e-05,)] [eta: 12:55:27, time (data): 0.559 (0.000)] eagle_pixel_opt: 8.6175e+00 l1_pixel_opt: 4.8067e-02 fft_frequency_opt: 3.8893e-02 +2025-11-01 05:28:47,313 INFO: [30_4..][epoch: 0, step: 46,200, lr:(9.980e-05,)] [eta: 12:54:23, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.5437e+00 l1_pixel_opt: 4.8784e-02 fft_frequency_opt: 3.3960e-02 +2025-11-01 05:29:43,759 INFO: [30_4..][epoch: 0, step: 46,300, lr:(9.980e-05,)] [eta: 12:53:20, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.2944e+00 l1_pixel_opt: 4.2753e-02 fft_frequency_opt: 3.3052e-02 +2025-11-01 05:30:40,131 INFO: [30_4..][epoch: 0, step: 46,400, lr:(9.980e-05,)] [eta: 12:52:16, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.5881e+00 l1_pixel_opt: 4.1956e-02 fft_frequency_opt: 3.3322e-02 +2025-11-01 05:31:36,782 INFO: [30_4..][epoch: 0, step: 46,500, lr:(9.980e-05,)] [eta: 12:51:13, time (data): 0.569 (0.000)] eagle_pixel_opt: 4.5949e+00 l1_pixel_opt: 3.4125e-02 fft_frequency_opt: 2.6971e-02 +2025-11-01 05:32:32,899 INFO: [30_4..][epoch: 0, step: 46,600, lr:(9.980e-05,)] [eta: 12:50:10, time (data): 0.565 (0.000)] eagle_pixel_opt: 7.0134e+00 l1_pixel_opt: 4.7265e-02 fft_frequency_opt: 3.7608e-02 +2025-11-01 05:33:29,612 INFO: [30_4..][epoch: 0, step: 46,700, lr:(9.980e-05,)] [eta: 12:49:07, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.5575e+00 l1_pixel_opt: 4.2319e-02 fft_frequency_opt: 3.1604e-02 +2025-11-01 05:34:25,739 INFO: [30_4..][epoch: 0, step: 46,800, lr:(9.980e-05,)] [eta: 12:48:03, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.9330e+00 l1_pixel_opt: 3.9972e-02 fft_frequency_opt: 3.0239e-02 +2025-11-01 05:35:22,384 INFO: [30_4..][epoch: 0, step: 46,900, lr:(9.980e-05,)] [eta: 12:47:01, time (data): 0.569 (0.000)] eagle_pixel_opt: 6.8052e+00 l1_pixel_opt: 5.1430e-02 fft_frequency_opt: 3.6622e-02 +2025-11-01 05:36:18,604 INFO: [30_4..][epoch: 0, step: 47,000, lr:(9.980e-05,)] [eta: 12:45:57, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.8690e+00 l1_pixel_opt: 3.8691e-02 fft_frequency_opt: 3.0213e-02 +2025-11-01 05:37:14,749 INFO: [30_4..][epoch: 0, step: 47,100, lr:(9.980e-05,)] [eta: 12:44:54, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.1528e+00 l1_pixel_opt: 3.3460e-02 fft_frequency_opt: 2.7159e-02 +2025-11-01 05:38:11,377 INFO: [30_4..][epoch: 0, step: 47,200, lr:(9.980e-05,)] [eta: 12:43:51, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.8307e+00 l1_pixel_opt: 4.3597e-02 fft_frequency_opt: 3.2142e-02 +2025-11-01 05:39:07,605 INFO: [30_4..][epoch: 0, step: 47,300, lr:(9.980e-05,)] [eta: 12:42:48, time (data): 0.557 (0.000)] eagle_pixel_opt: 8.9059e+00 l1_pixel_opt: 5.6975e-02 fft_frequency_opt: 4.2324e-02 +2025-11-01 05:40:03,781 INFO: [30_4..][epoch: 0, step: 47,400, lr:(9.980e-05,)] [eta: 12:41:44, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.7128e+00 l1_pixel_opt: 3.8240e-02 fft_frequency_opt: 2.8716e-02 +2025-11-01 05:40:59,969 INFO: [30_4..][epoch: 0, step: 47,500, lr:(9.980e-05,)] [eta: 12:40:41, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.0767e+00 l1_pixel_opt: 3.0668e-02 fft_frequency_opt: 2.4636e-02 +2025-11-01 05:41:56,285 INFO: [30_4..][epoch: 0, step: 47,600, lr:(9.980e-05,)] [eta: 12:39:38, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.9163e+00 l1_pixel_opt: 2.9128e-02 fft_frequency_opt: 2.4802e-02 +2025-11-01 05:42:52,127 INFO: [30_4..][epoch: 0, step: 47,700, lr:(9.980e-05,)] [eta: 12:38:34, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.7201e+00 l1_pixel_opt: 5.1661e-02 fft_frequency_opt: 3.7345e-02 +2025-11-01 05:43:49,656 INFO: [30_4..][epoch: 0, step: 47,800, lr:(9.980e-05,)] [eta: 12:37:33, time (data): 0.569 (0.000)] eagle_pixel_opt: 5.9205e+00 l1_pixel_opt: 3.9089e-02 fft_frequency_opt: 2.9136e-02 +2025-11-01 05:44:46,189 INFO: [30_4..][epoch: 0, step: 47,900, lr:(9.980e-05,)] [eta: 12:36:30, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.3922e+00 l1_pixel_opt: 3.8467e-02 fft_frequency_opt: 2.9538e-02 +2025-11-01 05:45:41,853 INFO: [30_4..][epoch: 0, step: 48,000, lr:(9.980e-05,)] [eta: 12:35:26, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.6742e+00 l1_pixel_opt: 4.2564e-02 fft_frequency_opt: 3.2696e-02 +2025-11-01 05:46:38,238 INFO: [30_4..][epoch: 0, step: 48,100, lr:(9.980e-05,)] [eta: 12:34:24, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.4458e+00 l1_pixel_opt: 4.1010e-02 fft_frequency_opt: 3.2782e-02 +2025-11-01 05:47:34,402 INFO: [30_4..][epoch: 0, step: 48,200, lr:(9.980e-05,)] [eta: 12:33:20, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.0278e+00 l1_pixel_opt: 4.1253e-02 fft_frequency_opt: 2.8821e-02 +2025-11-01 05:48:30,264 INFO: [30_4..][epoch: 0, step: 48,300, lr:(9.980e-05,)] [eta: 12:32:17, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.3029e+00 l1_pixel_opt: 4.2650e-02 fft_frequency_opt: 3.2307e-02 +2025-11-01 05:49:26,180 INFO: [30_4..][epoch: 0, step: 48,400, lr:(9.980e-05,)] [eta: 12:31:13, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.2007e+00 l1_pixel_opt: 4.0921e-02 fft_frequency_opt: 2.9355e-02 +2025-11-01 05:50:22,926 INFO: [30_4..][epoch: 0, step: 48,500, lr:(9.980e-05,)] [eta: 12:30:11, time (data): 0.573 (0.000)] eagle_pixel_opt: 5.2211e+00 l1_pixel_opt: 4.7742e-02 fft_frequency_opt: 3.2152e-02 +2025-11-01 05:51:19,328 INFO: [30_4..][epoch: 0, step: 48,600, lr:(9.980e-05,)] [eta: 12:29:09, time (data): 0.567 (0.000)] eagle_pixel_opt: 3.8999e+00 l1_pixel_opt: 3.4882e-02 fft_frequency_opt: 2.5315e-02 +2025-11-01 05:52:16,076 INFO: [30_4..][epoch: 0, step: 48,700, lr:(9.980e-05,)] [eta: 12:28:06, time (data): 0.571 (0.000)] eagle_pixel_opt: 6.5509e+00 l1_pixel_opt: 5.0883e-02 fft_frequency_opt: 3.5452e-02 +2025-11-01 05:53:12,196 INFO: [30_4..][epoch: 0, step: 48,800, lr:(9.980e-05,)] [eta: 12:27:03, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.8671e+00 l1_pixel_opt: 3.7202e-02 fft_frequency_opt: 2.8007e-02 +2025-11-01 05:54:09,032 INFO: [30_4..][epoch: 0, step: 48,900, lr:(9.980e-05,)] [eta: 12:26:01, time (data): 0.572 (0.000)] eagle_pixel_opt: 3.9218e+00 l1_pixel_opt: 3.3655e-02 fft_frequency_opt: 2.6484e-02 +2025-11-01 05:55:05,234 INFO: [30_4..][epoch: 0, step: 49,000, lr:(9.980e-05,)] [eta: 12:24:59, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.4284e+00 l1_pixel_opt: 2.9409e-02 fft_frequency_opt: 2.3512e-02 +2025-11-01 05:56:02,224 INFO: [30_4..][epoch: 0, step: 49,100, lr:(9.980e-05,)] [eta: 12:23:57, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6490e+00 l1_pixel_opt: 3.8111e-02 fft_frequency_opt: 3.2135e-02 +2025-11-01 05:57:00,105 INFO: [30_4..][epoch: 0, step: 49,200, lr:(9.980e-05,)] [eta: 12:22:57, time (data): 0.574 (0.000)] eagle_pixel_opt: 3.9243e+00 l1_pixel_opt: 3.3501e-02 fft_frequency_opt: 2.6178e-02 +2025-11-01 05:57:57,616 INFO: [30_4..][epoch: 0, step: 49,300, lr:(9.980e-05,)] [eta: 12:21:56, time (data): 0.578 (0.000)] eagle_pixel_opt: 4.5604e+00 l1_pixel_opt: 3.6332e-02 fft_frequency_opt: 2.6363e-02 +2025-11-01 05:58:54,381 INFO: [30_4..][epoch: 0, step: 49,400, lr:(9.980e-05,)] [eta: 12:20:54, time (data): 0.571 (0.000)] eagle_pixel_opt: 5.3670e+00 l1_pixel_opt: 4.5027e-02 fft_frequency_opt: 3.2552e-02 +2025-11-01 05:59:51,151 INFO: [30_4..][epoch: 0, step: 49,500, lr:(9.980e-05,)] [eta: 12:19:52, time (data): 0.568 (0.000)] eagle_pixel_opt: 7.5401e+00 l1_pixel_opt: 5.2918e-02 fft_frequency_opt: 4.0941e-02 +2025-11-01 06:00:47,533 INFO: [30_4..][epoch: 0, step: 49,600, lr:(9.980e-05,)] [eta: 12:18:50, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.6885e+00 l1_pixel_opt: 4.3415e-02 fft_frequency_opt: 3.6344e-02 +2025-11-01 06:01:44,181 INFO: [30_4..][epoch: 0, step: 49,700, lr:(9.980e-05,)] [eta: 12:17:48, time (data): 0.572 (0.000)] eagle_pixel_opt: 7.3970e+00 l1_pixel_opt: 4.8667e-02 fft_frequency_opt: 3.6920e-02 +2025-11-01 06:02:40,338 INFO: [30_4..][epoch: 0, step: 49,800, lr:(9.980e-05,)] [eta: 12:16:45, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.0047e+00 l1_pixel_opt: 3.8534e-02 fft_frequency_opt: 2.9309e-02 +2025-11-01 06:03:36,636 INFO: [30_4..][epoch: 0, step: 49,900, lr:(9.980e-05,)] [eta: 12:15:42, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.5638e+00 l1_pixel_opt: 4.1806e-02 fft_frequency_opt: 3.1025e-02 +2025-11-01 06:04:32,678 INFO: [30_4..][epoch: 0, step: 50,000, lr:(9.980e-05,)] [eta: 12:14:39, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.6849e+00 l1_pixel_opt: 3.4417e-02 fft_frequency_opt: 2.7482e-02 +2025-11-01 06:04:32,680 INFO: Saving models and training states. +2025-11-01 06:06:42,923 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2253 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0850 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.4004 Best: 33.4004 @ 50000 iter + +2025-11-01 06:07:39,068 INFO: [30_4..][epoch: 0, step: 50,100, lr:(9.980e-05,)] [eta: 12:16:51, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.1285e+00 l1_pixel_opt: 3.7029e-02 fft_frequency_opt: 2.9861e-02 +2025-11-01 06:08:36,083 INFO: [30_4..][epoch: 0, step: 50,200, lr:(9.980e-05,)] [eta: 12:15:49, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.8134e+00 l1_pixel_opt: 4.4472e-02 fft_frequency_opt: 3.1215e-02 +2025-11-01 06:09:32,242 INFO: [30_4..][epoch: 0, step: 50,300, lr:(9.980e-05,)] [eta: 12:14:46, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.2859e+00 l1_pixel_opt: 3.5913e-02 fft_frequency_opt: 2.8534e-02 +2025-11-01 06:10:28,647 INFO: [30_4..][epoch: 0, step: 50,400, lr:(9.980e-05,)] [eta: 12:13:43, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.4056e+00 l1_pixel_opt: 4.2374e-02 fft_frequency_opt: 3.2797e-02 +2025-11-01 06:11:25,004 INFO: [30_4..][epoch: 0, step: 50,500, lr:(9.980e-05,)] [eta: 12:12:40, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.4315e+00 l1_pixel_opt: 4.0356e-02 fft_frequency_opt: 2.9603e-02 +2025-11-01 06:12:21,457 INFO: [30_4..][epoch: 0, step: 50,600, lr:(9.980e-05,)] [eta: 12:11:37, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.4686e+00 l1_pixel_opt: 3.7228e-02 fft_frequency_opt: 2.7121e-02 +2025-11-01 06:13:17,710 INFO: [30_4..][epoch: 0, step: 50,700, lr:(9.980e-05,)] [eta: 12:10:34, time (data): 0.570 (0.000)] eagle_pixel_opt: 5.6444e+00 l1_pixel_opt: 4.3164e-02 fft_frequency_opt: 3.1535e-02 +2025-11-01 06:14:14,468 INFO: [30_4..][epoch: 0, step: 50,800, lr:(9.980e-05,)] [eta: 12:09:32, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.8030e+00 l1_pixel_opt: 4.5395e-02 fft_frequency_opt: 3.2790e-02 +2025-11-01 06:15:11,146 INFO: [30_4..][epoch: 0, step: 50,900, lr:(9.980e-05,)] [eta: 12:08:30, time (data): 0.578 (0.000)] eagle_pixel_opt: 6.6168e+00 l1_pixel_opt: 5.5628e-02 fft_frequency_opt: 3.8309e-02 +2025-11-01 06:16:07,811 INFO: [30_4..][epoch: 0, step: 51,000, lr:(9.980e-05,)] [eta: 12:07:27, time (data): 0.570 (0.000)] eagle_pixel_opt: 4.9637e+00 l1_pixel_opt: 4.1168e-02 fft_frequency_opt: 2.9359e-02 +2025-11-01 06:17:03,626 INFO: [30_4..][epoch: 0, step: 51,100, lr:(9.980e-05,)] [eta: 12:06:24, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.9012e+00 l1_pixel_opt: 4.3222e-02 fft_frequency_opt: 3.3749e-02 +2025-11-01 06:17:59,722 INFO: [30_4..][epoch: 0, step: 51,200, lr:(9.980e-05,)] [eta: 12:05:21, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.2030e+00 l1_pixel_opt: 4.3107e-02 fft_frequency_opt: 3.2865e-02 +2025-11-01 06:18:55,874 INFO: [30_4..][epoch: 0, step: 51,300, lr:(9.980e-05,)] [eta: 12:04:18, time (data): 0.559 (0.000)] eagle_pixel_opt: 3.8477e+00 l1_pixel_opt: 3.8336e-02 fft_frequency_opt: 2.4974e-02 +2025-11-01 06:19:52,039 INFO: [30_4..][epoch: 0, step: 51,400, lr:(9.980e-05,)] [eta: 12:03:15, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1647e+00 l1_pixel_opt: 3.8165e-02 fft_frequency_opt: 2.9052e-02 +2025-11-01 06:20:47,898 INFO: [30_4..][epoch: 0, step: 51,500, lr:(9.980e-05,)] [eta: 12:02:11, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.9745e+00 l1_pixel_opt: 4.7697e-02 fft_frequency_opt: 3.4641e-02 +2025-11-01 06:21:44,330 INFO: [30_4..][epoch: 0, step: 51,600, lr:(9.980e-05,)] [eta: 12:01:09, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.4640e+00 l1_pixel_opt: 3.9104e-02 fft_frequency_opt: 2.8589e-02 +2025-11-01 06:22:40,774 INFO: [30_4..][epoch: 0, step: 51,700, lr:(9.980e-05,)] [eta: 12:00:06, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6318e+00 l1_pixel_opt: 4.3256e-02 fft_frequency_opt: 3.0712e-02 +2025-11-01 06:23:36,739 INFO: [30_4..][epoch: 0, step: 51,800, lr:(9.980e-05,)] [eta: 11:59:03, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.6586e+00 l1_pixel_opt: 4.6932e-02 fft_frequency_opt: 3.6996e-02 +2025-11-01 06:24:32,888 INFO: [30_4..][epoch: 0, step: 51,900, lr:(9.980e-05,)] [eta: 11:58:00, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.3132e+00 l1_pixel_opt: 2.7147e-02 fft_frequency_opt: 2.2955e-02 +2025-11-01 06:25:29,302 INFO: [30_4..][epoch: 0, step: 52,000, lr:(9.980e-05,)] [eta: 11:56:58, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.5552e+00 l1_pixel_opt: 3.4872e-02 fft_frequency_opt: 2.7004e-02 +2025-11-01 06:26:25,607 INFO: [30_4..][epoch: 0, step: 52,100, lr:(9.980e-05,)] [eta: 11:55:55, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.0779e+00 l1_pixel_opt: 4.5610e-02 fft_frequency_opt: 3.2311e-02 +2025-11-01 06:27:22,517 INFO: [30_4..][epoch: 0, step: 52,200, lr:(9.980e-05,)] [eta: 11:54:53, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.4082e+00 l1_pixel_opt: 3.8624e-02 fft_frequency_opt: 2.8765e-02 +2025-11-01 06:28:19,012 INFO: [30_4..][epoch: 0, step: 52,300, lr:(9.980e-05,)] [eta: 11:53:51, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.7973e+00 l1_pixel_opt: 5.4886e-02 fft_frequency_opt: 4.3119e-02 +2025-11-01 06:29:15,329 INFO: [30_4..][epoch: 0, step: 52,400, lr:(9.980e-05,)] [eta: 11:52:49, time (data): 0.562 (0.000)] eagle_pixel_opt: 8.0928e+00 l1_pixel_opt: 5.0354e-02 fft_frequency_opt: 3.8562e-02 +2025-11-01 06:30:11,679 INFO: [30_4..][epoch: 0, step: 52,500, lr:(9.980e-05,)] [eta: 11:51:46, time (data): 0.556 (0.000)] eagle_pixel_opt: 3.3555e+00 l1_pixel_opt: 2.8955e-02 fft_frequency_opt: 2.2034e-02 +2025-11-01 06:31:07,698 INFO: [30_4..][epoch: 0, step: 52,600, lr:(9.980e-05,)] [eta: 11:50:43, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.4565e+00 l1_pixel_opt: 4.4228e-02 fft_frequency_opt: 3.2656e-02 +2025-11-01 06:32:03,939 INFO: [30_4..][epoch: 0, step: 52,700, lr:(9.980e-05,)] [eta: 11:49:41, time (data): 0.567 (0.000)] eagle_pixel_opt: 6.2939e+00 l1_pixel_opt: 4.6380e-02 fft_frequency_opt: 3.4465e-02 +2025-11-01 06:32:59,831 INFO: [30_4..][epoch: 0, step: 52,800, lr:(9.980e-05,)] [eta: 11:48:38, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1715e+00 l1_pixel_opt: 4.8797e-02 fft_frequency_opt: 3.3423e-02 +2025-11-01 06:33:56,423 INFO: [30_4..][epoch: 0, step: 52,900, lr:(9.980e-05,)] [eta: 11:47:36, time (data): 0.568 (0.000)] eagle_pixel_opt: 3.1656e+00 l1_pixel_opt: 3.1897e-02 fft_frequency_opt: 2.4417e-02 +2025-11-01 06:34:52,393 INFO: [30_4..][epoch: 0, step: 53,000, lr:(9.980e-05,)] [eta: 11:46:33, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.8706e+00 l1_pixel_opt: 3.9220e-02 fft_frequency_opt: 2.8777e-02 +2025-11-01 06:35:48,544 INFO: [30_4..][epoch: 0, step: 53,100, lr:(9.980e-05,)] [eta: 11:45:30, time (data): 0.563 (0.000)] eagle_pixel_opt: 8.2004e+00 l1_pixel_opt: 5.1530e-02 fft_frequency_opt: 3.9945e-02 +2025-11-01 06:36:44,596 INFO: [30_4..][epoch: 0, step: 53,200, lr:(9.980e-05,)] [eta: 11:44:28, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.8444e+00 l1_pixel_opt: 3.6689e-02 fft_frequency_opt: 2.9062e-02 +2025-11-01 06:37:40,834 INFO: [30_4..][epoch: 0, step: 53,300, lr:(9.980e-05,)] [eta: 11:43:25, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.6855e+00 l1_pixel_opt: 3.7604e-02 fft_frequency_opt: 2.7765e-02 +2025-11-01 06:38:38,892 INFO: [30_4..][epoch: 0, step: 53,400, lr:(9.980e-05,)] [eta: 11:42:25, time (data): 0.575 (0.000)] eagle_pixel_opt: 5.4943e+00 l1_pixel_opt: 3.7816e-02 fft_frequency_opt: 3.0210e-02 +2025-11-01 06:39:35,273 INFO: [30_4..][epoch: 0, step: 53,500, lr:(9.980e-05,)] [eta: 11:41:23, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.3106e+00 l1_pixel_opt: 3.3850e-02 fft_frequency_opt: 2.5308e-02 +2025-11-01 06:40:31,685 INFO: [30_4..][epoch: 0, step: 53,600, lr:(9.980e-05,)] [eta: 11:40:21, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.4664e+00 l1_pixel_opt: 4.1725e-02 fft_frequency_opt: 3.0451e-02 +2025-11-01 06:41:27,837 INFO: [30_4..][epoch: 0, step: 53,700, lr:(9.980e-05,)] [eta: 11:39:19, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.6605e+00 l1_pixel_opt: 3.9125e-02 fft_frequency_opt: 2.8208e-02 +2025-11-01 06:42:23,460 INFO: [30_4..][epoch: 0, step: 53,800, lr:(9.980e-05,)] [eta: 11:38:15, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.8028e+00 l1_pixel_opt: 4.0197e-02 fft_frequency_opt: 3.0921e-02 +2025-11-01 06:43:19,509 INFO: [30_4..][epoch: 0, step: 53,900, lr:(9.980e-05,)] [eta: 11:37:13, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.1215e+00 l1_pixel_opt: 4.2164e-02 fft_frequency_opt: 3.3695e-02 +2025-11-01 06:44:15,621 INFO: [30_4..][epoch: 0, step: 54,000, lr:(9.980e-05,)] [eta: 11:36:10, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.0318e+00 l1_pixel_opt: 4.3335e-02 fft_frequency_opt: 3.5066e-02 +2025-11-01 06:45:11,974 INFO: [30_4..][epoch: 0, step: 54,100, lr:(9.980e-05,)] [eta: 11:35:08, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.1667e+00 l1_pixel_opt: 4.3949e-02 fft_frequency_opt: 3.2184e-02 +2025-11-01 06:46:08,305 INFO: [30_4..][epoch: 0, step: 54,200, lr:(9.980e-05,)] [eta: 11:34:06, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.0578e+00 l1_pixel_opt: 3.2205e-02 fft_frequency_opt: 2.6997e-02 +2025-11-01 06:47:04,478 INFO: [30_4..][epoch: 0, step: 54,300, lr:(9.980e-05,)] [eta: 11:33:04, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.9929e+00 l1_pixel_opt: 2.6325e-02 fft_frequency_opt: 2.1960e-02 +2025-11-01 06:48:00,547 INFO: [30_4..][epoch: 0, step: 54,400, lr:(9.980e-05,)] [eta: 11:32:02, time (data): 0.560 (0.000)] eagle_pixel_opt: 3.9827e+00 l1_pixel_opt: 3.9715e-02 fft_frequency_opt: 2.6545e-02 +2025-11-01 06:48:56,871 INFO: [30_4..][epoch: 0, step: 54,500, lr:(9.980e-05,)] [eta: 11:31:00, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.2289e+00 l1_pixel_opt: 3.4349e-02 fft_frequency_opt: 2.7663e-02 +2025-11-01 06:49:53,169 INFO: [30_4..][epoch: 0, step: 54,600, lr:(9.980e-05,)] [eta: 11:29:58, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.7450e+00 l1_pixel_opt: 3.2568e-02 fft_frequency_opt: 2.8098e-02 +2025-11-01 06:50:48,880 INFO: [30_4..][epoch: 0, step: 54,700, lr:(9.980e-05,)] [eta: 11:28:55, time (data): 0.557 (0.000)] eagle_pixel_opt: 8.0969e+00 l1_pixel_opt: 5.4992e-02 fft_frequency_opt: 4.0311e-02 +2025-11-01 06:51:45,137 INFO: [30_4..][epoch: 0, step: 54,800, lr:(9.980e-05,)] [eta: 11:27:53, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.8316e+00 l1_pixel_opt: 3.5069e-02 fft_frequency_opt: 2.5500e-02 +2025-11-01 06:52:41,608 INFO: [30_4..][epoch: 0, step: 54,900, lr:(9.980e-05,)] [eta: 11:26:51, time (data): 0.578 (0.000)] eagle_pixel_opt: 4.6537e+00 l1_pixel_opt: 3.8590e-02 fft_frequency_opt: 2.9132e-02 +2025-11-01 06:53:37,937 INFO: [30_4..][epoch: 0, step: 55,000, lr:(9.980e-05,)] [eta: 11:25:49, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.7007e+00 l1_pixel_opt: 3.5953e-02 fft_frequency_opt: 2.7405e-02 +2025-11-01 06:53:37,938 INFO: Saving models and training states. +2025-11-01 06:55:50,059 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2205 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0821 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.4369 Best: 33.4369 @ 55000 iter + +2025-11-01 06:56:47,115 INFO: [30_4..][epoch: 0, step: 55,100, lr:(9.980e-05,)] [eta: 11:27:36, time (data): 0.577 (0.000)] eagle_pixel_opt: 4.6502e+00 l1_pixel_opt: 3.2975e-02 fft_frequency_opt: 2.6055e-02 +2025-11-01 06:57:43,876 INFO: [30_4..][epoch: 0, step: 55,200, lr:(9.980e-05,)] [eta: 11:26:34, time (data): 0.569 (0.000)] eagle_pixel_opt: 6.1346e+00 l1_pixel_opt: 3.8600e-02 fft_frequency_opt: 3.1070e-02 +2025-11-01 06:58:40,004 INFO: [30_4..][epoch: 0, step: 55,300, lr:(9.980e-05,)] [eta: 11:25:31, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1750e+00 l1_pixel_opt: 4.2293e-02 fft_frequency_opt: 2.9682e-02 +2025-11-01 06:59:36,577 INFO: [30_4..][epoch: 0, step: 55,400, lr:(9.980e-05,)] [eta: 11:24:29, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.8523e+00 l1_pixel_opt: 3.5436e-02 fft_frequency_opt: 2.7870e-02 +2025-11-01 07:00:32,606 INFO: [30_4..][epoch: 0, step: 55,500, lr:(9.980e-05,)] [eta: 11:23:26, time (data): 0.555 (0.000)] eagle_pixel_opt: 5.9692e+00 l1_pixel_opt: 3.9188e-02 fft_frequency_opt: 3.1365e-02 +2025-11-01 07:01:29,085 INFO: [30_4..][epoch: 0, step: 55,600, lr:(9.980e-05,)] [eta: 11:22:24, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.7284e+00 l1_pixel_opt: 3.7771e-02 fft_frequency_opt: 2.7710e-02 +2025-11-01 07:02:25,531 INFO: [30_4..][epoch: 0, step: 55,700, lr:(9.980e-05,)] [eta: 11:21:22, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.4779e+00 l1_pixel_opt: 3.3392e-02 fft_frequency_opt: 2.5615e-02 +2025-11-01 07:03:21,495 INFO: [30_4..][epoch: 0, step: 55,800, lr:(9.980e-05,)] [eta: 11:20:19, time (data): 0.559 (0.000)] eagle_pixel_opt: 2.6995e+00 l1_pixel_opt: 2.6944e-02 fft_frequency_opt: 2.2508e-02 +2025-11-01 07:04:17,662 INFO: [30_4..][epoch: 0, step: 55,900, lr:(9.980e-05,)] [eta: 11:19:17, time (data): 0.556 (0.000)] eagle_pixel_opt: 4.1303e+00 l1_pixel_opt: 3.1669e-02 fft_frequency_opt: 2.3499e-02 +2025-11-01 07:05:14,335 INFO: [30_4..][epoch: 0, step: 56,000, lr:(9.980e-05,)] [eta: 11:18:15, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.6414e+00 l1_pixel_opt: 3.5046e-02 fft_frequency_opt: 2.7587e-02 +2025-11-01 07:06:10,857 INFO: [30_4..][epoch: 0, step: 56,100, lr:(9.980e-05,)] [eta: 11:17:13, time (data): 0.581 (0.000)] eagle_pixel_opt: 3.9773e+00 l1_pixel_opt: 2.7619e-02 fft_frequency_opt: 2.2977e-02 +2025-11-01 07:07:07,433 INFO: [30_4..][epoch: 0, step: 56,200, lr:(9.980e-05,)] [eta: 11:16:11, time (data): 0.568 (0.000)] eagle_pixel_opt: 5.9506e+00 l1_pixel_opt: 4.5856e-02 fft_frequency_opt: 3.5966e-02 +2025-11-01 07:08:04,242 INFO: [30_4..][epoch: 0, step: 56,300, lr:(9.980e-05,)] [eta: 11:15:09, time (data): 0.578 (0.000)] eagle_pixel_opt: 5.8887e+00 l1_pixel_opt: 3.7210e-02 fft_frequency_opt: 2.9375e-02 +2025-11-01 07:09:00,862 INFO: [30_4..][epoch: 0, step: 56,400, lr:(9.980e-05,)] [eta: 11:14:08, time (data): 0.568 (0.000)] eagle_pixel_opt: 4.8521e+00 l1_pixel_opt: 4.0384e-02 fft_frequency_opt: 3.1046e-02 +2025-11-01 07:09:57,084 INFO: [30_4..][epoch: 0, step: 56,500, lr:(9.980e-05,)] [eta: 11:13:05, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.3339e+00 l1_pixel_opt: 4.5630e-02 fft_frequency_opt: 3.1753e-02 +2025-11-01 07:10:52,807 INFO: [30_4..][epoch: 0, step: 56,600, lr:(9.980e-05,)] [eta: 11:12:02, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.9976e+00 l1_pixel_opt: 3.8666e-02 fft_frequency_opt: 3.0650e-02 +2025-11-01 07:11:48,449 INFO: [30_4..][epoch: 0, step: 56,700, lr:(9.980e-05,)] [eta: 11:10:59, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.7395e+00 l1_pixel_opt: 5.5421e-02 fft_frequency_opt: 4.1209e-02 +2025-11-01 07:12:44,890 INFO: [30_4..][epoch: 0, step: 56,800, lr:(9.980e-05,)] [eta: 11:09:57, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.1739e+00 l1_pixel_opt: 3.1404e-02 fft_frequency_opt: 2.5452e-02 +2025-11-01 07:13:41,362 INFO: [30_4..][epoch: 0, step: 56,900, lr:(9.980e-05,)] [eta: 11:08:56, time (data): 0.578 (0.000)] eagle_pixel_opt: 9.3442e+00 l1_pixel_opt: 4.9220e-02 fft_frequency_opt: 3.9271e-02 +2025-11-01 07:14:37,302 INFO: [30_4..][epoch: 0, step: 57,000, lr:(9.980e-05,)] [eta: 11:07:53, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.8540e+00 l1_pixel_opt: 4.4040e-02 fft_frequency_opt: 3.3942e-02 +2025-11-01 07:15:33,681 INFO: [30_4..][epoch: 0, step: 57,100, lr:(9.980e-05,)] [eta: 11:06:51, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.3033e+00 l1_pixel_opt: 4.2665e-02 fft_frequency_opt: 2.9946e-02 +2025-11-01 07:16:29,925 INFO: [30_4..][epoch: 0, step: 57,200, lr:(9.980e-05,)] [eta: 11:05:49, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.0896e+00 l1_pixel_opt: 3.4449e-02 fft_frequency_opt: 2.3906e-02 +2025-11-01 07:17:25,769 INFO: [30_4..][epoch: 0, step: 57,300, lr:(9.980e-05,)] [eta: 11:04:46, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.1229e+00 l1_pixel_opt: 4.2035e-02 fft_frequency_opt: 3.0157e-02 +2025-11-01 07:18:21,950 INFO: [30_4..][epoch: 0, step: 57,400, lr:(9.980e-05,)] [eta: 11:03:44, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.7964e+00 l1_pixel_opt: 3.9238e-02 fft_frequency_opt: 3.1158e-02 +2025-11-01 07:19:18,076 INFO: [30_4..][epoch: 0, step: 57,500, lr:(9.980e-05,)] [eta: 11:02:42, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.7896e+00 l1_pixel_opt: 4.1959e-02 fft_frequency_opt: 3.2400e-02 +2025-11-01 07:20:13,791 INFO: [30_4..][epoch: 0, step: 57,600, lr:(9.980e-05,)] [eta: 11:01:39, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.3437e+00 l1_pixel_opt: 4.4282e-02 fft_frequency_opt: 3.5497e-02 +2025-11-01 07:21:09,897 INFO: [30_4..][epoch: 0, step: 57,700, lr:(9.980e-05,)] [eta: 11:00:37, time (data): 0.554 (0.000)] eagle_pixel_opt: 3.7727e+00 l1_pixel_opt: 3.5407e-02 fft_frequency_opt: 2.7101e-02 +2025-11-01 07:22:06,124 INFO: [30_4..][epoch: 0, step: 57,800, lr:(9.980e-05,)] [eta: 10:59:35, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.4316e+00 l1_pixel_opt: 5.0470e-02 fft_frequency_opt: 3.6759e-02 +2025-11-01 07:23:02,243 INFO: [30_4..][epoch: 0, step: 57,900, lr:(9.980e-05,)] [eta: 10:58:33, time (data): 0.559 (0.000)] eagle_pixel_opt: 7.9445e+00 l1_pixel_opt: 5.1641e-02 fft_frequency_opt: 4.0187e-02 +2025-11-01 07:24:00,431 INFO: [30_4..][epoch: 0, step: 58,000, lr:(9.980e-05,)] [eta: 10:57:33, time (data): 0.579 (0.000)] eagle_pixel_opt: 5.1852e+00 l1_pixel_opt: 3.6014e-02 fft_frequency_opt: 2.7868e-02 +2025-11-01 07:24:56,565 INFO: [30_4..][epoch: 0, step: 58,100, lr:(9.980e-05,)] [eta: 10:56:31, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.9793e+00 l1_pixel_opt: 3.6363e-02 fft_frequency_opt: 2.7844e-02 +2025-11-01 07:25:52,764 INFO: [30_4..][epoch: 0, step: 58,200, lr:(9.980e-05,)] [eta: 10:55:29, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.3304e+00 l1_pixel_opt: 3.8458e-02 fft_frequency_opt: 3.1835e-02 +2025-11-01 07:26:48,741 INFO: [30_4..][epoch: 0, step: 58,300, lr:(9.980e-05,)] [eta: 10:54:27, time (data): 0.572 (0.000)] eagle_pixel_opt: 5.2065e+00 l1_pixel_opt: 4.1748e-02 fft_frequency_opt: 2.9286e-02 +2025-11-01 07:27:44,869 INFO: [30_4..][epoch: 0, step: 58,400, lr:(9.980e-05,)] [eta: 10:53:25, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.2690e+00 l1_pixel_opt: 4.6409e-02 fft_frequency_opt: 3.1463e-02 +2025-11-01 07:28:41,277 INFO: [30_4..][epoch: 0, step: 58,500, lr:(9.980e-05,)] [eta: 10:52:24, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.1446e+00 l1_pixel_opt: 4.4214e-02 fft_frequency_opt: 3.3233e-02 +2025-11-01 07:29:37,737 INFO: [30_4..][epoch: 0, step: 58,600, lr:(9.980e-05,)] [eta: 10:51:22, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.2002e+00 l1_pixel_opt: 3.5067e-02 fft_frequency_opt: 2.5976e-02 +2025-11-01 07:30:33,902 INFO: [30_4..][epoch: 0, step: 58,700, lr:(9.980e-05,)] [eta: 10:50:20, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.4027e+00 l1_pixel_opt: 3.3158e-02 fft_frequency_opt: 2.7483e-02 +2025-11-01 07:31:29,673 INFO: [30_4..][epoch: 0, step: 58,800, lr:(9.980e-05,)] [eta: 10:49:18, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.1903e+00 l1_pixel_opt: 3.3892e-02 fft_frequency_opt: 2.8149e-02 +2025-11-01 07:32:25,497 INFO: [30_4..][epoch: 0, step: 58,900, lr:(9.980e-05,)] [eta: 10:48:16, time (data): 0.573 (0.000)] eagle_pixel_opt: 4.5772e+00 l1_pixel_opt: 3.6681e-02 fft_frequency_opt: 2.8196e-02 +2025-11-01 07:33:21,902 INFO: [30_4..][epoch: 0, step: 59,000, lr:(9.980e-05,)] [eta: 10:47:14, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.7615e+00 l1_pixel_opt: 4.9566e-02 fft_frequency_opt: 3.6254e-02 +2025-11-01 07:34:18,567 INFO: [30_4..][epoch: 0, step: 59,100, lr:(9.980e-05,)] [eta: 10:46:13, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.3470e+00 l1_pixel_opt: 4.0670e-02 fft_frequency_opt: 3.1051e-02 +2025-11-01 07:35:14,720 INFO: [30_4..][epoch: 0, step: 59,200, lr:(9.980e-05,)] [eta: 10:45:11, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.8273e+00 l1_pixel_opt: 4.4854e-02 fft_frequency_opt: 3.2068e-02 +2025-11-01 07:36:11,458 INFO: [30_4..][epoch: 0, step: 59,300, lr:(9.980e-05,)] [eta: 10:44:10, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.1643e+00 l1_pixel_opt: 5.5058e-02 fft_frequency_opt: 3.9527e-02 +2025-11-01 07:37:08,096 INFO: [30_4..][epoch: 0, step: 59,400, lr:(9.980e-05,)] [eta: 10:43:08, time (data): 0.566 (0.000)] eagle_pixel_opt: 4.7227e+00 l1_pixel_opt: 4.4103e-02 fft_frequency_opt: 2.9905e-02 +2025-11-01 07:38:04,928 INFO: [30_4..][epoch: 0, step: 59,500, lr:(9.980e-05,)] [eta: 10:42:07, time (data): 0.583 (0.000)] eagle_pixel_opt: 4.9353e+00 l1_pixel_opt: 3.5285e-02 fft_frequency_opt: 2.7059e-02 +2025-11-01 07:39:01,159 INFO: [30_4..][epoch: 0, step: 59,600, lr:(9.980e-05,)] [eta: 10:41:06, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.1906e+00 l1_pixel_opt: 4.9295e-02 fft_frequency_opt: 3.5028e-02 +2025-11-01 07:39:57,437 INFO: [30_4..][epoch: 0, step: 59,700, lr:(9.980e-05,)] [eta: 10:40:04, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.6333e+00 l1_pixel_opt: 3.3321e-02 fft_frequency_opt: 2.8639e-02 +2025-11-01 07:40:53,502 INFO: [30_4..][epoch: 0, step: 59,800, lr:(9.980e-05,)] [eta: 10:39:02, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.6122e+00 l1_pixel_opt: 4.3205e-02 fft_frequency_opt: 3.0095e-02 +2025-11-01 07:41:49,859 INFO: [30_4..][epoch: 0, step: 59,900, lr:(9.980e-05,)] [eta: 10:38:01, time (data): 0.555 (0.000)] eagle_pixel_opt: 5.3050e+00 l1_pixel_opt: 4.2443e-02 fft_frequency_opt: 3.1563e-02 +2025-11-01 07:42:46,385 INFO: [30_4..][epoch: 0, step: 60,000, lr:(9.980e-05,)] [eta: 10:37:00, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.4983e+00 l1_pixel_opt: 3.3154e-02 fft_frequency_opt: 2.6223e-02 +2025-11-01 07:42:46,386 INFO: Saving models and training states. +2025-11-01 07:44:54,396 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2179 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0804 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.4661 Best: 33.4661 @ 60000 iter + +2025-11-01 07:45:50,495 INFO: [30_4..][epoch: 0, step: 60,100, lr:(9.980e-05,)] [eta: 10:38:16, time (data): 0.582 (0.000)] eagle_pixel_opt: 5.2168e+00 l1_pixel_opt: 3.5822e-02 fft_frequency_opt: 2.6784e-02 +2025-11-01 07:46:46,774 INFO: [30_4..][epoch: 0, step: 60,200, lr:(9.980e-05,)] [eta: 10:37:14, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.0484e+00 l1_pixel_opt: 4.1197e-02 fft_frequency_opt: 3.1193e-02 +2025-11-01 07:47:42,954 INFO: [30_4..][epoch: 0, step: 60,300, lr:(9.980e-05,)] [eta: 10:36:12, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.4344e+00 l1_pixel_opt: 4.1853e-02 fft_frequency_opt: 3.3754e-02 +2025-11-01 07:48:39,006 INFO: [30_4..][epoch: 0, step: 60,400, lr:(9.980e-05,)] [eta: 10:35:10, time (data): 0.561 (0.000)] eagle_pixel_opt: 3.8248e+00 l1_pixel_opt: 3.0946e-02 fft_frequency_opt: 2.1596e-02 +2025-11-01 07:49:35,036 INFO: [30_4..][epoch: 0, step: 60,500, lr:(9.980e-05,)] [eta: 10:34:08, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.3391e+00 l1_pixel_opt: 3.7601e-02 fft_frequency_opt: 2.9853e-02 +2025-11-01 07:50:31,363 INFO: [30_4..][epoch: 0, step: 60,600, lr:(9.980e-05,)] [eta: 10:33:06, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.9848e+00 l1_pixel_opt: 4.1314e-02 fft_frequency_opt: 3.3049e-02 +2025-11-01 07:51:27,243 INFO: [30_4..][epoch: 0, step: 60,700, lr:(9.980e-05,)] [eta: 10:32:04, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.2299e+00 l1_pixel_opt: 4.0366e-02 fft_frequency_opt: 3.1087e-02 +2025-11-01 07:52:23,306 INFO: [30_4..][epoch: 0, step: 60,800, lr:(9.980e-05,)] [eta: 10:31:02, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.9057e+00 l1_pixel_opt: 4.0372e-02 fft_frequency_opt: 2.9818e-02 +2025-11-01 07:53:19,318 INFO: [30_4..][epoch: 0, step: 60,900, lr:(9.980e-05,)] [eta: 10:30:00, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.6577e+00 l1_pixel_opt: 4.0793e-02 fft_frequency_opt: 3.0071e-02 +2025-11-01 07:54:15,361 INFO: [30_4..][epoch: 0, step: 61,000, lr:(9.980e-05,)] [eta: 10:28:58, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.3881e+00 l1_pixel_opt: 4.9284e-02 fft_frequency_opt: 3.9390e-02 +2025-11-01 07:55:11,139 INFO: [30_4..][epoch: 0, step: 61,100, lr:(9.980e-05,)] [eta: 10:27:55, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.5656e+00 l1_pixel_opt: 3.8753e-02 fft_frequency_opt: 2.9675e-02 +2025-11-01 07:56:07,200 INFO: [30_4..][epoch: 0, step: 61,200, lr:(9.980e-05,)] [eta: 10:26:53, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.9488e+00 l1_pixel_opt: 4.7072e-02 fft_frequency_opt: 3.4692e-02 +2025-11-01 07:57:03,664 INFO: [30_4..][epoch: 0, step: 61,300, lr:(9.980e-05,)] [eta: 10:25:52, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.6929e+00 l1_pixel_opt: 4.0320e-02 fft_frequency_opt: 3.0170e-02 +2025-11-01 07:57:59,552 INFO: [30_4..][epoch: 0, step: 61,400, lr:(9.980e-05,)] [eta: 10:24:50, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.7875e+00 l1_pixel_opt: 3.7095e-02 fft_frequency_opt: 2.7982e-02 +2025-11-01 07:58:55,872 INFO: [30_4..][epoch: 0, step: 61,500, lr:(9.980e-05,)] [eta: 10:23:48, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.8928e+00 l1_pixel_opt: 3.9766e-02 fft_frequency_opt: 3.2808e-02 +2025-11-01 07:59:51,896 INFO: [30_4..][epoch: 0, step: 61,600, lr:(9.980e-05,)] [eta: 10:22:46, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.5246e+00 l1_pixel_opt: 3.6033e-02 fft_frequency_opt: 2.6305e-02 +2025-11-01 08:00:47,785 INFO: [30_4..][epoch: 0, step: 61,700, lr:(9.980e-05,)] [eta: 10:21:44, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.1328e+00 l1_pixel_opt: 3.6240e-02 fft_frequency_opt: 2.6787e-02 +2025-11-01 08:01:43,559 INFO: [30_4..][epoch: 0, step: 61,800, lr:(9.980e-05,)] [eta: 10:20:42, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.2005e+00 l1_pixel_opt: 3.9542e-02 fft_frequency_opt: 2.9104e-02 +2025-11-01 08:02:39,513 INFO: [30_4..][epoch: 0, step: 61,900, lr:(9.980e-05,)] [eta: 10:19:40, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.8233e+00 l1_pixel_opt: 4.3906e-02 fft_frequency_opt: 2.9787e-02 +2025-11-01 08:03:35,702 INFO: [30_4..][epoch: 0, step: 62,000, lr:(9.980e-05,)] [eta: 10:18:38, time (data): 0.562 (0.000)] eagle_pixel_opt: 6.4860e+00 l1_pixel_opt: 4.0920e-02 fft_frequency_opt: 3.2401e-02 +2025-11-01 08:04:32,369 INFO: [30_4..][epoch: 0, step: 62,100, lr:(9.980e-05,)] [eta: 10:17:37, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.5598e+00 l1_pixel_opt: 4.5412e-02 fft_frequency_opt: 3.3060e-02 +2025-11-01 08:05:28,986 INFO: [30_4..][epoch: 0, step: 62,200, lr:(9.980e-05,)] [eta: 10:16:36, time (data): 0.567 (0.000)] eagle_pixel_opt: 4.6067e+00 l1_pixel_opt: 3.6517e-02 fft_frequency_opt: 2.7273e-02 +2025-11-01 08:06:25,061 INFO: [30_4..][epoch: 0, step: 62,300, lr:(9.980e-05,)] [eta: 10:15:34, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.8156e+00 l1_pixel_opt: 4.1280e-02 fft_frequency_opt: 2.9455e-02 +2025-11-01 08:07:20,987 INFO: [30_4..][epoch: 0, step: 62,400, lr:(9.980e-05,)] [eta: 10:14:32, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.8414e+00 l1_pixel_opt: 5.4445e-02 fft_frequency_opt: 3.7235e-02 +2025-11-01 08:08:16,828 INFO: [30_4..][epoch: 0, step: 62,500, lr:(9.980e-05,)] [eta: 10:13:30, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.9630e+00 l1_pixel_opt: 4.5891e-02 fft_frequency_opt: 3.6062e-02 +2025-11-01 08:09:13,331 INFO: [30_4..][epoch: 0, step: 62,600, lr:(4.990e-05,)] [eta: 10:12:29, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.8751e+00 l1_pixel_opt: 4.2977e-02 fft_frequency_opt: 3.2226e-02 +2025-11-01 08:10:09,477 INFO: [30_4..][epoch: 0, step: 62,700, lr:(4.990e-05,)] [eta: 10:11:27, time (data): 0.564 (0.000)] eagle_pixel_opt: 3.5239e+00 l1_pixel_opt: 2.5749e-02 fft_frequency_opt: 2.1990e-02 +2025-11-01 08:11:07,642 INFO: [30_4..][epoch: 0, step: 62,800, lr:(4.990e-05,)] [eta: 10:10:27, time (data): 0.585 (0.000)] eagle_pixel_opt: 4.3227e+00 l1_pixel_opt: 3.7929e-02 fft_frequency_opt: 2.6637e-02 +2025-11-01 08:12:03,942 INFO: [30_4..][epoch: 0, step: 62,900, lr:(4.990e-05,)] [eta: 10:09:26, time (data): 0.573 (0.000)] eagle_pixel_opt: 5.7178e+00 l1_pixel_opt: 3.5519e-02 fft_frequency_opt: 3.0822e-02 +2025-11-01 08:12:59,649 INFO: [30_4..][epoch: 0, step: 63,000, lr:(4.990e-05,)] [eta: 10:08:24, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.2333e+00 l1_pixel_opt: 4.3611e-02 fft_frequency_opt: 3.0290e-02 +2025-11-01 08:13:56,850 INFO: [30_4..][epoch: 0, step: 63,100, lr:(4.990e-05,)] [eta: 10:07:24, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.8480e+00 l1_pixel_opt: 3.4207e-02 fft_frequency_opt: 3.0727e-02 +2025-11-01 08:14:52,701 INFO: [30_4..][epoch: 0, step: 63,200, lr:(4.990e-05,)] [eta: 10:06:22, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.0502e+00 l1_pixel_opt: 3.9831e-02 fft_frequency_opt: 3.0622e-02 +2025-11-01 08:15:49,152 INFO: [30_4..][epoch: 0, step: 63,300, lr:(4.990e-05,)] [eta: 10:05:20, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.2017e+00 l1_pixel_opt: 3.6513e-02 fft_frequency_opt: 2.4587e-02 +2025-11-01 08:16:45,175 INFO: [30_4..][epoch: 0, step: 63,400, lr:(4.990e-05,)] [eta: 10:04:19, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.9160e+00 l1_pixel_opt: 4.8840e-02 fft_frequency_opt: 3.3899e-02 +2025-11-01 08:17:41,744 INFO: [30_4..][epoch: 0, step: 63,500, lr:(4.990e-05,)] [eta: 10:03:18, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.6729e+00 l1_pixel_opt: 3.8675e-02 fft_frequency_opt: 2.9607e-02 +2025-11-01 08:18:37,901 INFO: [30_4..][epoch: 0, step: 63,600, lr:(4.990e-05,)] [eta: 10:02:16, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.0322e+00 l1_pixel_opt: 4.6543e-02 fft_frequency_opt: 3.4623e-02 +2025-11-01 08:19:33,792 INFO: [30_4..][epoch: 0, step: 63,700, lr:(4.990e-05,)] [eta: 10:01:15, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.5990e+00 l1_pixel_opt: 3.7083e-02 fft_frequency_opt: 2.6894e-02 +2025-11-01 08:20:29,739 INFO: [30_4..][epoch: 0, step: 63,800, lr:(4.990e-05,)] [eta: 10:00:13, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.0147e+00 l1_pixel_opt: 3.8164e-02 fft_frequency_opt: 2.9830e-02 +2025-11-01 08:21:25,507 INFO: [30_4..][epoch: 0, step: 63,900, lr:(4.990e-05,)] [eta: 9:59:11, time (data): 0.559 (0.000)] eagle_pixel_opt: 3.6410e+00 l1_pixel_opt: 3.2720e-02 fft_frequency_opt: 2.3540e-02 +2025-11-01 08:22:21,455 INFO: [30_4..][epoch: 0, step: 64,000, lr:(4.990e-05,)] [eta: 9:58:10, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.4710e+00 l1_pixel_opt: 3.8367e-02 fft_frequency_opt: 3.1051e-02 +2025-11-01 08:23:18,143 INFO: [30_4..][epoch: 0, step: 64,100, lr:(4.990e-05,)] [eta: 9:57:09, time (data): 0.563 (0.000)] eagle_pixel_opt: 8.1010e+00 l1_pixel_opt: 4.5679e-02 fft_frequency_opt: 3.6347e-02 +2025-11-01 08:24:14,006 INFO: [30_4..][epoch: 0, step: 64,200, lr:(4.990e-05,)] [eta: 9:56:07, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.8040e+00 l1_pixel_opt: 4.6866e-02 fft_frequency_opt: 3.3526e-02 +2025-11-01 08:25:10,060 INFO: [30_4..][epoch: 0, step: 64,300, lr:(4.990e-05,)] [eta: 9:55:06, time (data): 0.560 (0.000)] eagle_pixel_opt: 6.3499e+00 l1_pixel_opt: 4.3420e-02 fft_frequency_opt: 3.4487e-02 +2025-11-01 08:26:06,461 INFO: [30_4..][epoch: 0, step: 64,400, lr:(4.990e-05,)] [eta: 9:54:04, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.1203e+00 l1_pixel_opt: 3.2402e-02 fft_frequency_opt: 2.8924e-02 +2025-11-01 08:27:03,001 INFO: [30_4..][epoch: 0, step: 64,500, lr:(4.990e-05,)] [eta: 9:53:03, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.0823e+00 l1_pixel_opt: 3.6149e-02 fft_frequency_opt: 3.1671e-02 +2025-11-01 08:27:58,896 INFO: [30_4..][epoch: 0, step: 64,600, lr:(4.990e-05,)] [eta: 9:52:02, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.5245e+00 l1_pixel_opt: 4.3632e-02 fft_frequency_opt: 3.1264e-02 +2025-11-01 08:28:55,073 INFO: [30_4..][epoch: 0, step: 64,700, lr:(4.990e-05,)] [eta: 9:51:01, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.5042e+00 l1_pixel_opt: 5.5257e-02 fft_frequency_opt: 3.6927e-02 +2025-11-01 08:29:51,526 INFO: [30_4..][epoch: 0, step: 64,800, lr:(4.990e-05,)] [eta: 9:50:00, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.1367e+00 l1_pixel_opt: 5.7171e-02 fft_frequency_opt: 4.0354e-02 +2025-11-01 08:30:47,178 INFO: [30_4..][epoch: 0, step: 64,900, lr:(4.990e-05,)] [eta: 9:48:58, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.0174e+00 l1_pixel_opt: 4.0507e-02 fft_frequency_opt: 2.8313e-02 +2025-11-01 08:31:43,306 INFO: [30_4..][epoch: 0, step: 65,000, lr:(4.990e-05,)] [eta: 9:47:57, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.8289e+00 l1_pixel_opt: 3.5120e-02 fft_frequency_opt: 2.6622e-02 +2025-11-01 08:31:43,307 INFO: Saving models and training states. +2025-11-01 08:33:49,976 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2115 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0763 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.4997 Best: 33.4997 @ 65000 iter + +2025-11-01 08:34:46,285 INFO: [30_4..][epoch: 0, step: 65,100, lr:(4.990e-05,)] [eta: 9:48:52, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.7526e+00 l1_pixel_opt: 3.8319e-02 fft_frequency_opt: 3.0481e-02 +2025-11-01 08:35:42,573 INFO: [30_4..][epoch: 0, step: 65,200, lr:(4.990e-05,)] [eta: 9:47:51, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.4536e+00 l1_pixel_opt: 3.5154e-02 fft_frequency_opt: 2.5982e-02 +2025-11-01 08:36:38,577 INFO: [30_4..][epoch: 0, step: 65,300, lr:(4.990e-05,)] [eta: 9:46:49, time (data): 0.562 (0.000)] eagle_pixel_opt: 3.7868e+00 l1_pixel_opt: 3.3150e-02 fft_frequency_opt: 2.4521e-02 +2025-11-01 08:37:34,542 INFO: [30_4..][epoch: 0, step: 65,400, lr:(4.990e-05,)] [eta: 9:45:47, time (data): 0.561 (0.000)] eagle_pixel_opt: 7.1218e+00 l1_pixel_opt: 3.5088e-02 fft_frequency_opt: 3.2457e-02 +2025-11-01 08:38:31,280 INFO: [30_4..][epoch: 0, step: 65,500, lr:(4.990e-05,)] [eta: 9:44:46, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.5445e+00 l1_pixel_opt: 3.3462e-02 fft_frequency_opt: 2.5905e-02 +2025-11-01 08:39:27,198 INFO: [30_4..][epoch: 0, step: 65,600, lr:(4.990e-05,)] [eta: 9:43:45, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.1216e+00 l1_pixel_opt: 3.5783e-02 fft_frequency_opt: 2.8486e-02 +2025-11-01 08:40:23,323 INFO: [30_4..][epoch: 0, step: 65,700, lr:(4.990e-05,)] [eta: 9:42:43, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.4498e+00 l1_pixel_opt: 4.9634e-02 fft_frequency_opt: 3.5094e-02 +2025-11-01 08:41:19,130 INFO: [30_4..][epoch: 0, step: 65,800, lr:(4.990e-05,)] [eta: 9:41:41, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.2405e+00 l1_pixel_opt: 4.2035e-02 fft_frequency_opt: 3.1326e-02 +2025-11-01 08:42:15,118 INFO: [30_4..][epoch: 0, step: 65,900, lr:(4.990e-05,)] [eta: 9:40:40, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.0642e+00 l1_pixel_opt: 3.8110e-02 fft_frequency_opt: 2.7002e-02 +2025-11-01 08:43:11,321 INFO: [30_4..][epoch: 0, step: 66,000, lr:(4.990e-05,)] [eta: 9:39:38, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.5118e+00 l1_pixel_opt: 3.9475e-02 fft_frequency_opt: 3.0520e-02 +2025-11-01 08:44:07,350 INFO: [30_4..][epoch: 0, step: 66,100, lr:(4.990e-05,)] [eta: 9:38:37, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.1521e+00 l1_pixel_opt: 2.9935e-02 fft_frequency_opt: 2.3848e-02 +2025-11-01 08:45:04,260 INFO: [30_4..][epoch: 0, step: 66,200, lr:(4.990e-05,)] [eta: 9:37:36, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.3900e+00 l1_pixel_opt: 4.2921e-02 fft_frequency_opt: 3.0861e-02 +2025-11-01 08:46:00,190 INFO: [30_4..][epoch: 0, step: 66,300, lr:(4.990e-05,)] [eta: 9:36:34, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.0731e+00 l1_pixel_opt: 3.4103e-02 fft_frequency_opt: 2.3531e-02 +2025-11-01 08:46:55,944 INFO: [30_4..][epoch: 0, step: 66,400, lr:(4.990e-05,)] [eta: 9:35:32, time (data): 0.557 (0.000)] eagle_pixel_opt: 6.5724e+00 l1_pixel_opt: 4.3211e-02 fft_frequency_opt: 3.3129e-02 +2025-11-01 08:47:52,381 INFO: [30_4..][epoch: 0, step: 66,500, lr:(4.990e-05,)] [eta: 9:34:31, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1149e+00 l1_pixel_opt: 3.8431e-02 fft_frequency_opt: 2.8869e-02 +2025-11-01 08:48:48,530 INFO: [30_4..][epoch: 0, step: 66,600, lr:(4.990e-05,)] [eta: 9:33:30, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.7271e+00 l1_pixel_opt: 4.4118e-02 fft_frequency_opt: 3.2247e-02 +2025-11-01 08:49:44,447 INFO: [30_4..][epoch: 0, step: 66,700, lr:(4.990e-05,)] [eta: 9:32:28, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.4881e+00 l1_pixel_opt: 3.7479e-02 fft_frequency_opt: 2.6220e-02 +2025-11-01 08:50:40,480 INFO: [30_4..][epoch: 0, step: 66,800, lr:(4.990e-05,)] [eta: 9:31:27, time (data): 0.560 (0.000)] eagle_pixel_opt: 8.1314e+00 l1_pixel_opt: 4.6185e-02 fft_frequency_opt: 3.7496e-02 +2025-11-01 08:51:36,996 INFO: [30_4..][epoch: 0, step: 66,900, lr:(4.990e-05,)] [eta: 9:30:26, time (data): 0.563 (0.000)] eagle_pixel_opt: 4.4037e+00 l1_pixel_opt: 3.6075e-02 fft_frequency_opt: 2.7655e-02 +2025-11-01 08:52:33,227 INFO: [30_4..][epoch: 0, step: 67,000, lr:(4.990e-05,)] [eta: 9:29:25, time (data): 0.564 (0.000)] eagle_pixel_opt: 5.6654e+00 l1_pixel_opt: 3.5158e-02 fft_frequency_opt: 2.7726e-02 +2025-11-01 08:53:29,059 INFO: [30_4..][epoch: 0, step: 67,100, lr:(4.990e-05,)] [eta: 9:28:23, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.8322e+00 l1_pixel_opt: 3.5838e-02 fft_frequency_opt: 3.0514e-02 +2025-11-01 08:54:25,119 INFO: [30_4..][epoch: 0, step: 67,200, lr:(4.990e-05,)] [eta: 9:27:22, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.5212e+00 l1_pixel_opt: 5.0793e-02 fft_frequency_opt: 3.7302e-02 +2025-11-01 08:55:21,707 INFO: [30_4..][epoch: 0, step: 67,300, lr:(4.990e-05,)] [eta: 9:26:21, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.4173e+00 l1_pixel_opt: 4.3851e-02 fft_frequency_opt: 3.0153e-02 +2025-11-01 08:56:17,711 INFO: [30_4..][epoch: 0, step: 67,400, lr:(4.990e-05,)] [eta: 9:25:20, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.4420e+00 l1_pixel_opt: 4.6040e-02 fft_frequency_opt: 3.1689e-02 +2025-11-01 08:57:13,747 INFO: [30_4..][epoch: 0, step: 67,500, lr:(4.990e-05,)] [eta: 9:24:18, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.5576e+00 l1_pixel_opt: 3.8241e-02 fft_frequency_opt: 2.6948e-02 +2025-11-01 08:58:09,942 INFO: [30_4..][epoch: 0, step: 67,600, lr:(4.990e-05,)] [eta: 9:23:17, time (data): 0.561 (0.000)] eagle_pixel_opt: 6.3244e+00 l1_pixel_opt: 4.2315e-02 fft_frequency_opt: 3.3368e-02 +2025-11-01 08:59:06,273 INFO: [30_4..][epoch: 0, step: 67,700, lr:(4.990e-05,)] [eta: 9:22:16, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.0127e+00 l1_pixel_opt: 3.8012e-02 fft_frequency_opt: 2.7914e-02 +2025-11-01 09:00:02,687 INFO: [30_4..][epoch: 0, step: 67,800, lr:(4.990e-05,)] [eta: 9:21:15, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.5837e+00 l1_pixel_opt: 3.8212e-02 fft_frequency_opt: 3.1015e-02 +2025-11-01 09:00:59,307 INFO: [30_4..][epoch: 0, step: 67,900, lr:(4.990e-05,)] [eta: 9:20:14, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.3178e+00 l1_pixel_opt: 4.1553e-02 fft_frequency_opt: 3.1751e-02 +2025-11-01 09:01:55,777 INFO: [30_4..][epoch: 0, step: 68,000, lr:(4.990e-05,)] [eta: 9:19:14, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.3421e+00 l1_pixel_opt: 4.5725e-02 fft_frequency_opt: 3.3225e-02 +2025-11-01 09:02:51,986 INFO: [30_4..][epoch: 0, step: 68,100, lr:(4.990e-05,)] [eta: 9:18:12, time (data): 0.563 (0.000)] eagle_pixel_opt: 3.8867e+00 l1_pixel_opt: 3.5818e-02 fft_frequency_opt: 2.5728e-02 +2025-11-01 09:03:48,009 INFO: [30_4..][epoch: 0, step: 68,200, lr:(4.990e-05,)] [eta: 9:17:11, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.1208e+00 l1_pixel_opt: 3.7474e-02 fft_frequency_opt: 3.3378e-02 +2025-11-01 09:04:43,985 INFO: [30_4..][epoch: 0, step: 68,300, lr:(4.990e-05,)] [eta: 9:16:10, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.3394e+00 l1_pixel_opt: 3.3450e-02 fft_frequency_opt: 2.8762e-02 +2025-11-01 09:05:40,387 INFO: [30_4..][epoch: 0, step: 68,400, lr:(4.990e-05,)] [eta: 9:15:09, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.2171e+00 l1_pixel_opt: 3.7152e-02 fft_frequency_opt: 2.9083e-02 +2025-11-01 09:06:36,781 INFO: [30_4..][epoch: 0, step: 68,500, lr:(4.990e-05,)] [eta: 9:14:08, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.1127e+00 l1_pixel_opt: 4.0993e-02 fft_frequency_opt: 2.8142e-02 +2025-11-01 09:07:32,717 INFO: [30_4..][epoch: 0, step: 68,600, lr:(4.990e-05,)] [eta: 9:13:07, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.1909e+00 l1_pixel_opt: 4.2739e-02 fft_frequency_opt: 2.9664e-02 +2025-11-01 09:08:29,413 INFO: [30_4..][epoch: 0, step: 68,700, lr:(4.990e-05,)] [eta: 9:12:06, time (data): 0.565 (0.000)] eagle_pixel_opt: 6.7600e+00 l1_pixel_opt: 4.3119e-02 fft_frequency_opt: 3.2202e-02 +2025-11-01 09:09:24,939 INFO: [30_4..][epoch: 0, step: 68,800, lr:(4.990e-05,)] [eta: 9:11:05, time (data): 0.556 (0.000)] eagle_pixel_opt: 6.7771e+00 l1_pixel_opt: 4.3941e-02 fft_frequency_opt: 3.4528e-02 +2025-11-01 09:10:20,975 INFO: [30_4..][epoch: 0, step: 68,900, lr:(4.990e-05,)] [eta: 9:10:04, time (data): 0.559 (0.000)] eagle_pixel_opt: 4.2222e+00 l1_pixel_opt: 3.4940e-02 fft_frequency_opt: 2.6032e-02 +2025-11-01 09:11:17,075 INFO: [30_4..][epoch: 0, step: 69,000, lr:(4.990e-05,)] [eta: 9:09:03, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.0459e+00 l1_pixel_opt: 3.6809e-02 fft_frequency_opt: 2.9207e-02 +2025-11-01 09:12:13,482 INFO: [30_4..][epoch: 0, step: 69,100, lr:(4.990e-05,)] [eta: 9:08:02, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.5536e+00 l1_pixel_opt: 4.8034e-02 fft_frequency_opt: 3.8780e-02 +2025-11-01 09:13:10,141 INFO: [30_4..][epoch: 0, step: 69,200, lr:(4.990e-05,)] [eta: 9:07:01, time (data): 0.566 (0.000)] eagle_pixel_opt: 5.8764e+00 l1_pixel_opt: 4.8931e-02 fft_frequency_opt: 3.5018e-02 +2025-11-01 09:14:05,635 INFO: [30_4..][epoch: 0, step: 69,300, lr:(4.990e-05,)] [eta: 9:06:00, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.5169e+00 l1_pixel_opt: 4.5890e-02 fft_frequency_opt: 3.3466e-02 +2025-11-01 09:15:03,976 INFO: [30_4..][epoch: 0, step: 69,400, lr:(4.990e-05,)] [eta: 9:05:01, time (data): 0.606 (0.000)] eagle_pixel_opt: 4.2448e+00 l1_pixel_opt: 3.3519e-02 fft_frequency_opt: 2.5924e-02 +2025-11-01 09:16:00,087 INFO: [30_4..][epoch: 0, step: 69,500, lr:(4.990e-05,)] [eta: 9:04:00, time (data): 0.577 (0.000)] eagle_pixel_opt: 5.3995e+00 l1_pixel_opt: 5.0456e-02 fft_frequency_opt: 3.4149e-02 +2025-11-01 09:16:56,196 INFO: [30_4..][epoch: 0, step: 69,600, lr:(4.990e-05,)] [eta: 9:02:59, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.8348e+00 l1_pixel_opt: 3.8303e-02 fft_frequency_opt: 3.0685e-02 +2025-11-01 09:17:53,340 INFO: [30_4..][epoch: 0, step: 69,700, lr:(4.990e-05,)] [eta: 9:01:58, time (data): 0.567 (0.000)] eagle_pixel_opt: 5.4026e+00 l1_pixel_opt: 4.2912e-02 fft_frequency_opt: 3.2352e-02 +2025-11-01 09:18:49,336 INFO: [30_4..][epoch: 0, step: 69,800, lr:(4.990e-05,)] [eta: 9:00:57, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.8838e+00 l1_pixel_opt: 2.9024e-02 fft_frequency_opt: 2.4855e-02 +2025-11-01 09:19:45,612 INFO: [30_4..][epoch: 0, step: 69,900, lr:(4.990e-05,)] [eta: 8:59:57, time (data): 0.562 (0.000)] eagle_pixel_opt: 4.7191e+00 l1_pixel_opt: 3.7596e-02 fft_frequency_opt: 2.8141e-02 +2025-11-01 09:20:41,324 INFO: [30_4..][epoch: 0, step: 70,000, lr:(4.990e-05,)] [eta: 8:58:55, time (data): 0.557 (0.000)] eagle_pixel_opt: 7.7285e+00 l1_pixel_opt: 5.5814e-02 fft_frequency_opt: 3.9579e-02 +2025-11-01 09:20:41,325 INFO: Saving models and training states. +2025-11-01 09:22:51,674 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2077 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0739 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.5236 Best: 33.5236 @ 70000 iter + +2025-11-01 09:23:47,476 INFO: [30_4..][epoch: 0, step: 70,100, lr:(4.990e-05,)] [eta: 8:59:36, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.3461e+00 l1_pixel_opt: 3.4803e-02 fft_frequency_opt: 2.8015e-02 +2025-11-01 09:24:43,663 INFO: [30_4..][epoch: 0, step: 70,200, lr:(4.990e-05,)] [eta: 8:58:35, time (data): 0.562 (0.000)] eagle_pixel_opt: 7.1287e+00 l1_pixel_opt: 4.8112e-02 fft_frequency_opt: 3.5588e-02 +2025-11-01 09:25:40,277 INFO: [30_4..][epoch: 0, step: 70,300, lr:(4.990e-05,)] [eta: 8:57:34, time (data): 0.565 (0.000)] eagle_pixel_opt: 5.6836e+00 l1_pixel_opt: 4.0768e-02 fft_frequency_opt: 3.1431e-02 +2025-11-01 09:26:36,697 INFO: [30_4..][epoch: 0, step: 70,400, lr:(4.990e-05,)] [eta: 8:56:33, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.7821e+00 l1_pixel_opt: 2.8004e-02 fft_frequency_opt: 2.6081e-02 +2025-11-01 09:27:32,949 INFO: [30_4..][epoch: 0, step: 70,500, lr:(4.990e-05,)] [eta: 8:55:32, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.1784e+00 l1_pixel_opt: 4.2659e-02 fft_frequency_opt: 3.1056e-02 +2025-11-01 09:28:28,754 INFO: [30_4..][epoch: 0, step: 70,600, lr:(4.990e-05,)] [eta: 8:54:31, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.4077e+00 l1_pixel_opt: 3.5663e-02 fft_frequency_opt: 2.7997e-02 +2025-11-01 09:29:25,042 INFO: [30_4..][epoch: 0, step: 70,700, lr:(4.990e-05,)] [eta: 8:53:30, time (data): 0.561 (0.000)] eagle_pixel_opt: 3.9801e+00 l1_pixel_opt: 3.5731e-02 fft_frequency_opt: 2.5262e-02 +2025-11-01 09:30:21,076 INFO: [30_4..][epoch: 0, step: 70,800, lr:(4.990e-05,)] [eta: 8:52:29, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.6819e+00 l1_pixel_opt: 3.3596e-02 fft_frequency_opt: 2.6392e-02 +2025-11-01 09:31:16,796 INFO: [30_4..][epoch: 0, step: 70,900, lr:(4.990e-05,)] [eta: 8:51:27, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.8596e+00 l1_pixel_opt: 3.7534e-02 fft_frequency_opt: 3.2616e-02 +2025-11-01 09:32:13,004 INFO: [30_4..][epoch: 0, step: 71,000, lr:(4.990e-05,)] [eta: 8:50:26, time (data): 0.562 (0.000)] eagle_pixel_opt: 5.3060e+00 l1_pixel_opt: 4.0621e-02 fft_frequency_opt: 3.1650e-02 +2025-11-01 09:33:09,429 INFO: [30_4..][epoch: 0, step: 71,100, lr:(4.990e-05,)] [eta: 8:49:26, time (data): 0.564 (0.000)] eagle_pixel_opt: 7.1366e+00 l1_pixel_opt: 4.8377e-02 fft_frequency_opt: 3.7446e-02 +2025-11-01 09:34:05,818 INFO: [30_4..][epoch: 0, step: 71,200, lr:(4.990e-05,)] [eta: 8:48:25, time (data): 0.560 (0.000)] eagle_pixel_opt: 5.7321e+00 l1_pixel_opt: 4.6318e-02 fft_frequency_opt: 3.3196e-02 +2025-11-01 09:35:01,442 INFO: [30_4..][epoch: 0, step: 71,300, lr:(4.990e-05,)] [eta: 8:47:23, time (data): 0.558 (0.000)] eagle_pixel_opt: 6.6561e+00 l1_pixel_opt: 4.2783e-02 fft_frequency_opt: 3.3964e-02 +2025-11-01 09:35:58,485 INFO: [30_4..][epoch: 0, step: 71,400, lr:(4.990e-05,)] [eta: 8:46:23, time (data): 0.570 (0.000)] eagle_pixel_opt: 6.1424e+00 l1_pixel_opt: 4.5252e-02 fft_frequency_opt: 3.3411e-02 +2025-11-01 09:36:54,557 INFO: [30_4..][epoch: 0, step: 71,500, lr:(4.990e-05,)] [eta: 8:45:22, time (data): 0.564 (0.000)] eagle_pixel_opt: 4.7739e+00 l1_pixel_opt: 3.7138e-02 fft_frequency_opt: 2.9148e-02 +2025-11-01 09:37:51,359 INFO: [30_4..][epoch: 0, step: 71,600, lr:(4.990e-05,)] [eta: 8:44:21, time (data): 0.566 (0.000)] eagle_pixel_opt: 6.0424e+00 l1_pixel_opt: 4.4910e-02 fft_frequency_opt: 3.3373e-02 +2025-11-01 09:38:47,536 INFO: [30_4..][epoch: 0, step: 71,700, lr:(4.990e-05,)] [eta: 8:43:20, time (data): 0.563 (0.000)] eagle_pixel_opt: 5.4899e+00 l1_pixel_opt: 3.9914e-02 fft_frequency_opt: 3.0434e-02 +2025-11-01 09:39:43,538 INFO: [30_4..][epoch: 0, step: 71,800, lr:(4.990e-05,)] [eta: 8:42:19, time (data): 0.559 (0.000)] eagle_pixel_opt: 3.6747e+00 l1_pixel_opt: 2.7943e-02 fft_frequency_opt: 2.2570e-02 +2025-11-01 09:40:39,248 INFO: [30_4..][epoch: 0, step: 71,900, lr:(4.990e-05,)] [eta: 8:41:18, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.2004e+00 l1_pixel_opt: 3.8760e-02 fft_frequency_opt: 3.1185e-02 +2025-11-01 09:41:34,864 INFO: [30_4..][epoch: 0, step: 72,000, lr:(4.990e-05,)] [eta: 8:40:17, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.7489e+00 l1_pixel_opt: 3.7022e-02 fft_frequency_opt: 2.6858e-02 +2025-11-01 09:42:30,857 INFO: [30_4..][epoch: 0, step: 72,100, lr:(4.990e-05,)] [eta: 8:39:16, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.3155e+00 l1_pixel_opt: 5.1072e-02 fft_frequency_opt: 3.4926e-02 +2025-11-01 09:43:27,141 INFO: [30_4..][epoch: 0, step: 72,200, lr:(4.990e-05,)] [eta: 8:38:15, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.3835e+00 l1_pixel_opt: 3.2008e-02 fft_frequency_opt: 2.7373e-02 +2025-11-01 09:44:23,463 INFO: [30_4..][epoch: 0, step: 72,300, lr:(4.990e-05,)] [eta: 8:37:14, time (data): 0.563 (0.000)] eagle_pixel_opt: 6.8872e+00 l1_pixel_opt: 4.2066e-02 fft_frequency_opt: 3.5951e-02 +2025-11-01 09:45:19,760 INFO: [30_4..][epoch: 0, step: 72,400, lr:(4.990e-05,)] [eta: 8:36:13, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.4789e+00 l1_pixel_opt: 2.5936e-02 fft_frequency_opt: 2.4723e-02 +2025-11-01 09:46:17,385 INFO: [30_4..][epoch: 0, step: 72,500, lr:(4.990e-05,)] [eta: 8:35:14, time (data): 0.573 (0.000)] eagle_pixel_opt: 5.2920e+00 l1_pixel_opt: 3.5742e-02 fft_frequency_opt: 2.8264e-02 +2025-11-01 09:47:13,851 INFO: [30_4..][epoch: 0, step: 72,600, lr:(4.990e-05,)] [eta: 8:34:13, time (data): 0.555 (0.000)] eagle_pixel_opt: 4.6525e+00 l1_pixel_opt: 3.9213e-02 fft_frequency_opt: 2.9008e-02 +2025-11-01 09:48:10,439 INFO: [30_4..][epoch: 0, step: 72,700, lr:(4.990e-05,)] [eta: 8:33:12, time (data): 0.563 (0.000)] eagle_pixel_opt: 7.7306e+00 l1_pixel_opt: 4.6793e-02 fft_frequency_opt: 3.8719e-02 +2025-11-01 09:49:05,856 INFO: [30_4..][epoch: 0, step: 72,800, lr:(4.990e-05,)] [eta: 8:32:11, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.7765e+00 l1_pixel_opt: 3.4457e-02 fft_frequency_opt: 2.6978e-02 +2025-11-01 09:50:01,215 INFO: [30_4..][epoch: 0, step: 72,900, lr:(4.990e-05,)] [eta: 8:31:10, time (data): 0.553 (0.000)] eagle_pixel_opt: 5.1401e+00 l1_pixel_opt: 4.0568e-02 fft_frequency_opt: 2.9387e-02 +2025-11-01 09:50:57,465 INFO: [30_4..][epoch: 0, step: 73,000, lr:(4.990e-05,)] [eta: 8:30:09, time (data): 0.555 (0.000)] eagle_pixel_opt: 6.0866e+00 l1_pixel_opt: 4.5494e-02 fft_frequency_opt: 3.3598e-02 +2025-11-01 09:51:53,228 INFO: [30_4..][epoch: 0, step: 73,100, lr:(4.990e-05,)] [eta: 8:29:08, time (data): 0.557 (0.000)] eagle_pixel_opt: 4.2975e+00 l1_pixel_opt: 3.2844e-02 fft_frequency_opt: 2.5640e-02 +2025-11-01 09:52:48,913 INFO: [30_4..][epoch: 0, step: 73,200, lr:(4.990e-05,)] [eta: 8:28:07, time (data): 0.558 (0.000)] eagle_pixel_opt: 5.4767e+00 l1_pixel_opt: 3.8099e-02 fft_frequency_opt: 2.9429e-02 +2025-11-01 09:53:45,108 INFO: [30_4..][epoch: 0, step: 73,300, lr:(4.990e-05,)] [eta: 8:27:06, time (data): 0.561 (0.000)] eagle_pixel_opt: 4.0140e+00 l1_pixel_opt: 3.0326e-02 fft_frequency_opt: 2.4030e-02 +2025-11-01 09:54:43,120 INFO: [30_4..][epoch: 0, step: 73,400, lr:(4.990e-05,)] [eta: 8:26:07, time (data): 0.557 (0.000)] eagle_pixel_opt: 5.7991e+00 l1_pixel_opt: 3.8110e-02 fft_frequency_opt: 3.1923e-02 +2025-11-01 09:55:38,345 INFO: [30_4..][epoch: 0, step: 73,500, lr:(4.990e-05,)] [eta: 8:25:05, time (data): 0.553 (0.000)] eagle_pixel_opt: 5.1347e+00 l1_pixel_opt: 4.2282e-02 fft_frequency_opt: 3.0560e-02 +2025-11-01 09:56:33,794 INFO: [30_4..][epoch: 0, step: 73,600, lr:(4.990e-05,)] [eta: 8:24:04, time (data): 0.556 (0.000)] eagle_pixel_opt: 5.0457e+00 l1_pixel_opt: 4.5164e-02 fft_frequency_opt: 3.1748e-02 +2025-11-01 09:57:29,304 INFO: [30_4..][epoch: 0, step: 73,700, lr:(4.990e-05,)] [eta: 8:23:03, time (data): 0.555 (0.000)] eagle_pixel_opt: 4.5139e+00 l1_pixel_opt: 3.8501e-02 fft_frequency_opt: 2.7047e-02 +2025-11-01 09:58:25,137 INFO: [30_4..][epoch: 0, step: 73,800, lr:(4.990e-05,)] [eta: 8:22:02, time (data): 0.561 (0.000)] eagle_pixel_opt: 5.5025e+00 l1_pixel_opt: 3.7836e-02 fft_frequency_opt: 2.9127e-02 +2025-11-01 09:59:20,992 INFO: [30_4..][epoch: 0, step: 73,900, lr:(4.990e-05,)] [eta: 8:21:01, time (data): 0.559 (0.000)] eagle_pixel_opt: 5.0241e+00 l1_pixel_opt: 3.8686e-02 fft_frequency_opt: 2.9241e-02 +2025-11-01 10:00:17,223 INFO: [30_4..][epoch: 0, step: 74,000, lr:(4.990e-05,)] [eta: 8:20:00, time (data): 0.565 (0.000)] eagle_pixel_opt: 4.5540e+00 l1_pixel_opt: 3.5341e-02 fft_frequency_opt: 2.7123e-02 +2025-11-01 10:01:13,574 INFO: [30_4..][epoch: 0, step: 74,100, lr:(4.990e-05,)] [eta: 8:19:00, time (data): 0.564 (0.000)] eagle_pixel_opt: 6.1294e+00 l1_pixel_opt: 4.4747e-02 fft_frequency_opt: 3.2192e-02 +2025-11-01 10:02:09,547 INFO: [30_4..][epoch: 0, step: 74,200, lr:(4.990e-05,)] [eta: 8:17:59, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.3076e+00 l1_pixel_opt: 4.6670e-02 fft_frequency_opt: 3.5340e-02 +2025-11-01 10:03:04,832 INFO: [30_4..][epoch: 0, step: 74,300, lr:(4.990e-05,)] [eta: 8:16:58, time (data): 0.555 (0.000)] eagle_pixel_opt: 3.8888e+00 l1_pixel_opt: 2.4141e-02 fft_frequency_opt: 2.1495e-02 +2025-11-01 10:04:00,423 INFO: [30_4..][epoch: 0, step: 74,400, lr:(4.990e-05,)] [eta: 8:15:57, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.5019e+00 l1_pixel_opt: 3.8841e-02 fft_frequency_opt: 2.9039e-02 +2025-11-01 10:04:55,722 INFO: [30_4..][epoch: 0, step: 74,500, lr:(4.990e-05,)] [eta: 8:14:56, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.4548e+00 l1_pixel_opt: 3.0422e-02 fft_frequency_opt: 2.4015e-02 +2025-11-01 10:05:50,930 INFO: [30_4..][epoch: 0, step: 74,600, lr:(4.990e-05,)] [eta: 8:13:54, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.4788e+00 l1_pixel_opt: 3.6063e-02 fft_frequency_opt: 2.8543e-02 +2025-11-01 10:06:46,299 INFO: [30_4..][epoch: 0, step: 74,700, lr:(4.990e-05,)] [eta: 8:12:53, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.9683e+00 l1_pixel_opt: 4.4224e-02 fft_frequency_opt: 2.9882e-02 +2025-11-01 10:07:41,537 INFO: [30_4..][epoch: 0, step: 74,800, lr:(4.990e-05,)] [eta: 8:11:52, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.3552e+00 l1_pixel_opt: 3.0753e-02 fft_frequency_opt: 2.8174e-02 +2025-11-01 10:08:36,753 INFO: [30_4..][epoch: 0, step: 74,900, lr:(4.990e-05,)] [eta: 8:10:51, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.6863e+00 l1_pixel_opt: 3.6045e-02 fft_frequency_opt: 2.7688e-02 +2025-11-01 10:09:32,132 INFO: [30_4..][epoch: 0, step: 75,000, lr:(4.990e-05,)] [eta: 8:09:50, time (data): 0.552 (0.000)] eagle_pixel_opt: 6.2899e+00 l1_pixel_opt: 4.5156e-02 fft_frequency_opt: 3.3084e-02 +2025-11-01 10:09:32,134 INFO: Saving models and training states. +2025-11-01 10:11:38,325 INFO: Validation sdxk_120_1024x1024 + # l1_latent: 0.2050 Best: 0.3190 @ 5000 iter + # l2_latent: 0.0722 Best: 0.1483 @ 5000 iter + # pixel_psnr_pt: 33.5396 Best: 33.5396 @ 75000 iter + +2025-11-01 10:12:33,743 INFO: [30_4..][epoch: 0, step: 75,100, lr:(4.990e-05,)] [eta: 8:10:13, time (data): 0.554 (0.000)] eagle_pixel_opt: 4.7965e+00 l1_pixel_opt: 4.1460e-02 fft_frequency_opt: 2.9011e-02 +2025-11-01 10:13:29,011 INFO: [30_4..][epoch: 0, step: 75,200, lr:(4.990e-05,)] [eta: 8:09:11, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.0428e+00 l1_pixel_opt: 3.3645e-02 fft_frequency_opt: 2.3926e-02 +2025-11-01 10:14:24,204 INFO: [30_4..][epoch: 0, step: 75,300, lr:(4.990e-05,)] [eta: 8:08:10, time (data): 0.552 (0.000)] eagle_pixel_opt: 7.0309e+00 l1_pixel_opt: 4.5518e-02 fft_frequency_opt: 3.5471e-02 +2025-11-01 10:15:19,649 INFO: [30_4..][epoch: 0, step: 75,400, lr:(4.990e-05,)] [eta: 8:07:09, time (data): 0.559 (0.000)] eagle_pixel_opt: 6.0113e+00 l1_pixel_opt: 4.3870e-02 fft_frequency_opt: 3.2327e-02 +2025-11-01 10:16:14,867 INFO: [30_4..][epoch: 0, step: 75,500, lr:(4.990e-05,)] [eta: 8:06:07, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.3928e+00 l1_pixel_opt: 3.4130e-02 fft_frequency_opt: 2.6695e-02 +2025-11-01 10:17:10,128 INFO: [30_4..][epoch: 0, step: 75,600, lr:(4.990e-05,)] [eta: 8:05:06, time (data): 0.554 (0.000)] eagle_pixel_opt: 8.1595e+00 l1_pixel_opt: 4.8411e-02 fft_frequency_opt: 3.8799e-02 +2025-11-01 10:18:05,385 INFO: [30_4..][epoch: 0, step: 75,700, lr:(4.990e-05,)] [eta: 8:04:05, time (data): 0.553 (0.000)] eagle_pixel_opt: 8.1033e+00 l1_pixel_opt: 4.6994e-02 fft_frequency_opt: 3.8708e-02 +2025-11-01 10:19:00,580 INFO: [30_4..][epoch: 0, step: 75,800, lr:(4.990e-05,)] [eta: 8:03:03, time (data): 0.552 (0.000)] eagle_pixel_opt: 6.5489e+00 l1_pixel_opt: 3.8846e-02 fft_frequency_opt: 3.2057e-02 +2025-11-01 10:19:55,839 INFO: [30_4..][epoch: 0, step: 75,900, lr:(4.990e-05,)] [eta: 8:02:02, time (data): 0.552 (0.000)] eagle_pixel_opt: 7.1347e+00 l1_pixel_opt: 4.8278e-02 fft_frequency_opt: 3.5350e-02 +2025-11-01 10:20:51,378 INFO: [30_4..][epoch: 0, step: 76,000, lr:(4.990e-05,)] [eta: 8:01:01, time (data): 0.552 (0.000)] eagle_pixel_opt: 4.9565e+00 l1_pixel_opt: 3.8384e-02 fft_frequency_opt: 2.9297e-02 +2025-11-01 10:21:46,740 INFO: [30_4..][epoch: 0, step: 76,100, lr:(4.990e-05,)] [eta: 8:00:00, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.6250e+00 l1_pixel_opt: 3.2658e-02 fft_frequency_opt: 2.6705e-02 +2025-11-01 10:22:41,970 INFO: [30_4..][epoch: 0, step: 76,200, lr:(4.990e-05,)] [eta: 7:58:59, time (data): 0.552 (0.000)] eagle_pixel_opt: 4.0309e+00 l1_pixel_opt: 2.5081e-02 fft_frequency_opt: 2.0909e-02 +2025-11-01 10:23:37,241 INFO: [30_4..][epoch: 0, step: 76,300, lr:(4.990e-05,)] [eta: 7:57:57, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.7868e+00 l1_pixel_opt: 3.9536e-02 fft_frequency_opt: 2.9770e-02 +2025-11-01 10:24:32,414 INFO: [30_4..][epoch: 0, step: 76,400, lr:(4.990e-05,)] [eta: 7:56:56, time (data): 0.552 (0.000)] eagle_pixel_opt: 6.0576e+00 l1_pixel_opt: 3.7258e-02 fft_frequency_opt: 2.9382e-02 +2025-11-01 10:25:27,641 INFO: [30_4..][epoch: 0, step: 76,500, lr:(4.990e-05,)] [eta: 7:55:55, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.0364e+00 l1_pixel_opt: 3.8886e-02 fft_frequency_opt: 3.0529e-02 +2025-11-01 10:26:22,822 INFO: [30_4..][epoch: 0, step: 76,600, lr:(4.990e-05,)] [eta: 7:54:54, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.7626e+00 l1_pixel_opt: 4.5249e-02 fft_frequency_opt: 3.1783e-02 +2025-11-01 10:27:18,060 INFO: [30_4..][epoch: 0, step: 76,700, lr:(4.990e-05,)] [eta: 7:53:53, time (data): 0.552 (0.000)] eagle_pixel_opt: 4.9381e+00 l1_pixel_opt: 3.6132e-02 fft_frequency_opt: 2.6309e-02 +2025-11-01 10:28:13,234 INFO: [30_4..][epoch: 0, step: 76,800, lr:(4.990e-05,)] [eta: 7:52:51, time (data): 0.552 (0.000)] eagle_pixel_opt: 5.7152e+00 l1_pixel_opt: 4.0774e-02 fft_frequency_opt: 3.0934e-02 +2025-11-01 10:29:08,698 INFO: [30_4..][epoch: 0, step: 76,900, lr:(4.990e-05,)] [eta: 7:51:50, time (data): 0.554 (0.000)] eagle_pixel_opt: 7.0711e+00 l1_pixel_opt: 5.3305e-02 fft_frequency_opt: 3.7060e-02 +2025-11-01 10:30:03,890 INFO: [30_4..][epoch: 0, step: 77,000, lr:(4.990e-05,)] [eta: 7:50:49, time (data): 0.552 (0.000)] eagle_pixel_opt: 4.3894e+00 l1_pixel_opt: 3.5053e-02 fft_frequency_opt: 2.6177e-02 +2025-11-01 10:30:59,296 INFO: [30_4..][epoch: 0, step: 77,100, lr:(4.990e-05,)] [eta: 7:49:48, time (data): 0.554 (0.000)] eagle_pixel_opt: 5.4963e+00 l1_pixel_opt: 3.6497e-02 fft_frequency_opt: 3.1595e-02 +2025-11-01 10:31:54,786 INFO: [30_4..][epoch: 0, step: 77,200, lr:(4.990e-05,)] [eta: 7:48:47, time (data): 0.554 (0.000)] eagle_pixel_opt: 5.0080e+00 l1_pixel_opt: 3.8063e-02 fft_frequency_opt: 2.7685e-02 +2025-11-01 10:32:50,344 INFO: [30_4..][epoch: 0, step: 77,300, lr:(4.990e-05,)] [eta: 7:47:46, time (data): 0.555 (0.000)] eagle_pixel_opt: 6.6978e+00 l1_pixel_opt: 4.3509e-02 fft_frequency_opt: 3.3926e-02 +2025-11-01 10:33:45,931 INFO: [30_4..][epoch: 0, step: 77,400, lr:(4.990e-05,)] [eta: 7:46:46, time (data): 0.558 (0.000)] eagle_pixel_opt: 4.5352e+00 l1_pixel_opt: 3.4743e-02 fft_frequency_opt: 2.7546e-02 +2025-11-01 10:34:41,209 INFO: [30_4..][epoch: 0, step: 77,500, lr:(4.990e-05,)] [eta: 7:45:45, time (data): 0.553 (0.000)] eagle_pixel_opt: 4.7759e+00 l1_pixel_opt: 3.8508e-02 fft_frequency_opt: 2.8050e-02 +2025-11-01 10:35:36,459 INFO: [30_4..][epoch: 0, step: 77,600, lr:(4.990e-05,)] [eta: 7:44:44, time (data): 0.552 (0.000)] eagle_pixel_opt: 7.5139e+00 l1_pixel_opt: 4.6115e-02 fft_frequency_opt: 3.6320e-02 +2025-11-01 10:36:31,696 INFO: [30_4..][epoch: 0, step: 77,700, lr:(4.990e-05,)] [eta: 7:43:42, time (data): 0.552 (0.000)] eagle_pixel_opt: 6.4884e+00 l1_pixel_opt: 4.3130e-02 fft_frequency_opt: 3.3639e-02 +2025-11-01 10:37:26,852 INFO: [30_4..][epoch: 0, step: 77,800, lr:(4.990e-05,)] [eta: 7:42:41, time (data): 0.552 (0.000)] eagle_pixel_opt: 4.7886e+00 l1_pixel_opt: 3.3888e-02 fft_frequency_opt: 2.6412e-02 +2025-11-01 10:38:22,165 INFO: [30_4..][epoch: 0, step: 77,900, lr:(4.990e-05,)] [eta: 7:41:41, time (data): 0.553 (0.000)] eagle_pixel_opt: 5.9190e+00 l1_pixel_opt: 4.0358e-02 fft_frequency_opt: 3.0133e-02 +2025-11-01 10:39:19,531 INFO: [30_4..][epoch: 0, step: 78,000, lr:(4.990e-05,)] [eta: 7:40:41, time (data): 0.560 (0.000)] eagle_pixel_opt: 7.3238e+00 l1_pixel_opt: 4.3658e-02 fft_frequency_opt: 3.4650e-02 +2025-11-01 10:40:15,477 INFO: [30_4..][epoch: 0, step: 78,100, lr:(4.990e-05,)] [eta: 7:39:40, time (data): 0.560 (0.000)] eagle_pixel_opt: 4.8712e+00 l1_pixel_opt: 4.1435e-02 fft_frequency_opt: 2.9522e-02 +2025-11-01 10:41:11,726 INFO: [30_4..][epoch: 0, step: 78,200, lr:(4.990e-05,)] [eta: 7:38:40, time (data): 0.554 (0.000)] eagle_pixel_opt: 6.4218e+00 l1_pixel_opt: 4.4000e-02 fft_frequency_opt: 3.5400e-02 diff --git a/31_10_2025/30_4_archived_20251031_215426/basicsr_options.yaml b/31_10_2025/30_4_archived_20251031_215426/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..961118a57db4bd0fca97233cc38191ed4ace456d --- /dev/null +++ b/31_10_2025/30_4_archived_20251031_215426/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:54:23 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_4' diff --git a/31_10_2025/30_4_archived_20251031_215426/train_30_4_20251031_215423.log b/31_10_2025/30_4_archived_20251031_215426/train_30_4_20251031_215423.log new file mode 100644 index 0000000000000000000000000000000000000000..ec79a53594c59584fa8db7bb3575e0775a63ed6d --- /dev/null +++ b/31_10_2025/30_4_archived_20251031_215426/train_30_4_20251031_215423.log @@ -0,0 +1,570 @@ +2025-10-31 21:54:23,451 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:54:23,451 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 3 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_4 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:54:25,262 INFO: Use wandb logger with id=skdhi4n1; project=Swin2SR-Latent-SR. +2025-10-31 21:54:33,923 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:54:33,924 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 3 + Steps per epoch: 51203 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-10-31 21:54:33,927 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:54:33,927 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:54:34,048 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:35,442 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,120,132 +2025-10-31 21:54:35,443 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:54:35,562 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:54:35,587 INFO: Use EMA with decay: 0.999 +2025-10-31 21:54:35,694 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:35,813 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:54:35,838 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:54:35,838 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:54:35,839 INFO: Loss [L1Loss] is created. +2025-10-31 21:54:35,840 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:54:35,840 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:54:35,840 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:54:35,842 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:56:20,437 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:56:21,327 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft +2025-10-31 21:57:22,158 INFO: [30_4..][epoch: 0, step: 100, lr:(2.000e-05,)] [eta: 19:29:44, time (data): 0.617 (0.003)] eagle_pixel_opt: 1.2456e+01 l1_pixel_opt: 1.4695e-01 fft_frequency_opt: 7.2340e-02 +2025-10-31 21:58:20,244 INFO: [30_4..][epoch: 0, step: 200, lr:(4.000e-05,)] [eta: 19:48:23, time (data): 0.599 (0.002)] eagle_pixel_opt: 1.2126e+01 l1_pixel_opt: 1.0403e-01 fft_frequency_opt: 6.6209e-02 +2025-10-31 21:59:17,900 INFO: [30_4..][epoch: 0, step: 300, lr:(6.000e-05,)] [eta: 19:51:02, time (data): 0.577 (0.000)] eagle_pixel_opt: 1.3356e+01 l1_pixel_opt: 1.0004e-01 fft_frequency_opt: 6.2746e-02 +2025-10-31 22:00:15,154 INFO: [30_4..][epoch: 0, step: 400, lr:(8.000e-05,)] [eta: 19:49:48, time (data): 0.575 (0.000)] eagle_pixel_opt: 1.1919e+01 l1_pixel_opt: 9.7069e-02 fft_frequency_opt: 5.9324e-02 +2025-10-31 22:01:13,277 INFO: [30_4..][epoch: 0, step: 500, lr:(9.980e-05,)] [eta: 19:52:16, time (data): 0.581 (0.000)] eagle_pixel_opt: 7.2678e+00 l1_pixel_opt: 6.2411e-02 fft_frequency_opt: 4.0094e-02 +2025-10-31 22:02:10,919 INFO: [30_4..][epoch: 0, step: 600, lr:(9.980e-05,)] [eta: 19:51:57, time (data): 0.579 (0.000)] eagle_pixel_opt: 1.0010e+01 l1_pixel_opt: 7.1293e-02 fft_frequency_opt: 4.9994e-02 +2025-10-31 22:03:09,859 INFO: [30_4..][epoch: 0, step: 700, lr:(9.980e-05,)] [eta: 19:55:16, time (data): 0.589 (0.000)] eagle_pixel_opt: 9.0759e+00 l1_pixel_opt: 6.7367e-02 fft_frequency_opt: 4.6046e-02 +2025-10-31 22:04:07,015 INFO: [30_4..][epoch: 0, step: 800, lr:(9.980e-05,)] [eta: 19:52:55, time (data): 0.580 (0.000)] eagle_pixel_opt: 8.5857e+00 l1_pixel_opt: 6.4256e-02 fft_frequency_opt: 4.4779e-02 +2025-10-31 22:05:04,527 INFO: [30_4..][epoch: 0, step: 900, lr:(9.980e-05,)] [eta: 19:51:41, time (data): 0.575 (0.000)] eagle_pixel_opt: 7.3303e+00 l1_pixel_opt: 6.1731e-02 fft_frequency_opt: 4.1148e-02 +2025-10-31 22:06:01,637 INFO: [30_4..][epoch: 0, step: 1,000, lr:(9.980e-05,)] [eta: 19:49:41, time (data): 0.573 (0.000)] eagle_pixel_opt: 9.0263e+00 l1_pixel_opt: 6.1009e-02 fft_frequency_opt: 4.3965e-02 +2025-10-31 22:06:59,221 INFO: [30_4..][epoch: 0, step: 1,100, lr:(9.980e-05,)] [eta: 19:48:45, time (data): 0.576 (0.000)] eagle_pixel_opt: 8.7836e+00 l1_pixel_opt: 5.8444e-02 fft_frequency_opt: 4.3104e-02 +2025-10-31 22:07:57,778 INFO: [30_4..][epoch: 0, step: 1,200, lr:(9.980e-05,)] [eta: 19:49:29, time (data): 0.581 (0.000)] eagle_pixel_opt: 9.7067e+00 l1_pixel_opt: 6.0073e-02 fft_frequency_opt: 4.4320e-02 +2025-10-31 22:08:55,480 INFO: [30_4..][epoch: 0, step: 1,300, lr:(9.980e-05,)] [eta: 19:48:37, time (data): 0.577 (0.000)] eagle_pixel_opt: 9.4305e+00 l1_pixel_opt: 6.6822e-02 fft_frequency_opt: 4.7123e-02 diff --git a/31_10_2025/30_4_archived_20251031_215428/basicsr_options.yaml b/31_10_2025/30_4_archived_20251031_215428/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..98171b51dbd2ca7c263db4758c787c58bb1e4262 --- /dev/null +++ b/31_10_2025/30_4_archived_20251031_215428/basicsr_options.yaml @@ -0,0 +1,157 @@ +# GENERATE TIME: Fri Oct 31 21:54:26 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModel +scale: 2 +num_gpu: auto +manual_seed: 0 +vae_sources: + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 2 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft + vae_names: + - sd3_vae_anime_ft + phase: val + io_backend: + type: disk + scale: 2 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv +path: + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + optim_g: + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + l1_pixel_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + fft_frequency_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '30' +name: '30_4' diff --git a/31_10_2025/30_4_archived_20251031_215428/train_30_4_20251031_215426.log b/31_10_2025/30_4_archived_20251031_215428/train_30_4_20251031_215426.log new file mode 100644 index 0000000000000000000000000000000000000000..2a590600657428d2ea4399118c484d3a69ced087 --- /dev/null +++ b/31_10_2025/30_4_archived_20251031_215428/train_30_4_20251031_215426.log @@ -0,0 +1,570 @@ +2025-10-31 21:54:26,483 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-10-31 21:54:26,483 INFO: + model_type: SwinIRLatentModel + scale: 2 + num_gpu: 3 + manual_seed: 0 + vae_sources:[ + sd3_vae_anime_ft:[ + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: midjourney_sd3_vae_anime_ft + type: LatentCacheDataset + high_res: 512 + low_res: 256 + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: LatentCacheDataset + high_res: 1024 + low_res: 512 + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sd3_vae_anime_ft'] + vae_names: ['sd3_vae_anime_ft'] + phase: val + io_backend:[ + type: disk + ] + scale: 2 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: Swin2SR + upscale: 2 + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + upsampler: pixelshuffle + resi_connection: 1conv + ] + path:[ + pretrain_network_g: ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + models: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/31_10_2025/30_4/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + optim_g:[ + type: Adam + lr: 0.0001 + weight_decay: 0 + betas: [0.9, 0.99] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: 500 + eagle_pixel_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + ] + l1_pixel_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + ] + fft_frequency_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 30 + name: 30_4 + dist: True + rank: 0 + world_size: 3 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-10-31 21:54:28,154 INFO: Use wandb logger with id=p7jkx4zj; project=Swin2SR-Latent-SR. +2025-10-31 21:54:36,488 INFO: Dataset [LatentCacheDataset] - midjourney_sd3_vae_anime_ft is built. +2025-10-31 21:54:36,490 INFO: Training statistics: + Number of train images: 1228852 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 3 + Steps per epoch: 51203 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-10-31 21:54:36,493 INFO: Dataset [LatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-10-31 21:54:36,493 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-10-31 21:54:36,617 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:39,825 INFO: Network: DistributedDataParallel - Swin2SR, with parameters: 12,120,132 +2025-10-31 21:54:39,826 INFO: Swin2SR( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), pretrained_window_size=(0, 0), num_heads=6 + (cpb_mlp): Sequential( + (0): Linear(in_features=2, out_features=512, bias=True) + (1): ReLU(inplace=True) + (2): Linear(in_features=512, out_features=6, bias=False) + ) + (qkv): Linear(in_features=180, out_features=540, bias=False) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (proj): Conv2d(180, 180, kernel_size=(1, 1), stride=(1, 1)) + ) + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv_before_upsample): Sequential( + (0): Conv2d(180, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(64, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(64, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-10-31 21:54:39,951 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params]. +2025-10-31 21:54:39,978 INFO: Use EMA with decay: 0.999 +2025-10-31 21:54:40,120 INFO: Network [Swin2SR] is created. +2025-10-31 21:54:40,242 INFO: Loading Swin2SR from ./pretrained_weights/21_10_2025/swin2sr-x2_flux_vae_im256-512_1l1+0.1fft+0.1downsampleconsistency+0.05highfrequencyl1_b40x1_2025_10_20_2/models/net_g_35000.pth [key=params_ema]. +2025-10-31 21:54:40,267 INFO: Loss [Eagle_Loss] is created. +2025-10-31 21:54:40,268 INFO: Initialized eagle_pixel_opt in pixel space (w=5e-05). +2025-10-31 21:54:40,269 INFO: Loss [L1Loss] is created. +2025-10-31 21:54:40,270 INFO: Initialized l1_pixel_opt in pixel space (w=1.0). +2025-10-31 21:54:40,272 INFO: Loss [FFTFrequencyLoss] is created. +2025-10-31 21:54:40,272 INFO: Initialized fft_frequency_opt in pixel space (w=0.1). +2025-10-31 21:54:40,275 INFO: Model [SwinIRLatentModel] is created. +2025-10-31 21:56:25,832 INFO: Start training from epoch: 0, step: 0 +2025-10-31 21:56:26,726 INFO: Loading VAE(name=sd3_vae_anime_ft, kind=kl) from Disty0/sd3_vae_anime_ft +2025-10-31 21:57:27,974 INFO: [30_4..][epoch: 0, step: 100, lr:(2.000e-05,)] [eta: 19:32:33, time (data): 0.621 (0.002)] eagle_pixel_opt: 1.2456e+01 l1_pixel_opt: 1.4694e-01 fft_frequency_opt: 7.2340e-02 +2025-10-31 21:58:25,029 INFO: [30_4..][epoch: 0, step: 200, lr:(4.000e-05,)] [eta: 19:39:08, time (data): 0.596 (0.001)] eagle_pixel_opt: 1.2125e+01 l1_pixel_opt: 1.0400e-01 fft_frequency_opt: 6.6202e-02 +2025-10-31 21:59:21,611 INFO: [30_4..][epoch: 0, step: 300, lr:(6.000e-05,)] [eta: 19:37:27, time (data): 0.565 (0.000)] eagle_pixel_opt: 1.3612e+01 l1_pixel_opt: 1.0051e-01 fft_frequency_opt: 6.3695e-02 +2025-10-31 22:00:18,276 INFO: [30_4..][epoch: 0, step: 400, lr:(8.000e-05,)] [eta: 19:36:33, time (data): 0.566 (0.000)] eagle_pixel_opt: 1.2088e+01 l1_pixel_opt: 9.1394e-02 fft_frequency_opt: 6.0001e-02 +2025-10-31 22:01:15,588 INFO: [30_4..][epoch: 0, step: 500, lr:(9.980e-05,)] [eta: 19:38:20, time (data): 0.573 (0.000)] eagle_pixel_opt: 7.2394e+00 l1_pixel_opt: 6.4744e-02 fft_frequency_opt: 3.9968e-02 +2025-10-31 22:02:12,652 INFO: [30_4..][epoch: 0, step: 600, lr:(9.980e-05,)] [eta: 19:38:20, time (data): 0.572 (0.000)] eagle_pixel_opt: 9.9823e+00 l1_pixel_opt: 7.1032e-02 fft_frequency_opt: 4.9800e-02 +2025-10-31 22:03:09,952 INFO: [30_4..][epoch: 0, step: 700, lr:(9.980e-05,)] [eta: 19:38:46, time (data): 0.573 (0.000)] eagle_pixel_opt: 8.9315e+00 l1_pixel_opt: 6.7892e-02 fft_frequency_opt: 4.5577e-02 +2025-10-31 22:04:06,649 INFO: [30_4..][epoch: 0, step: 800, lr:(9.980e-05,)] [eta: 19:37:17, time (data): 0.570 (0.000)] eagle_pixel_opt: 8.7659e+00 l1_pixel_opt: 6.4104e-02 fft_frequency_opt: 4.5602e-02 +2025-10-31 22:05:03,948 INFO: [30_4..][epoch: 0, step: 900, lr:(9.980e-05,)] [eta: 19:37:19, time (data): 0.573 (0.000)] eagle_pixel_opt: 7.4087e+00 l1_pixel_opt: 6.1993e-02 fft_frequency_opt: 4.1193e-02 +2025-10-31 22:06:00,835 INFO: [30_4..][epoch: 0, step: 1,000, lr:(9.980e-05,)] [eta: 19:36:18, time (data): 0.571 (0.000)] eagle_pixel_opt: 8.8419e+00 l1_pixel_opt: 5.9189e-02 fft_frequency_opt: 4.3229e-02 +2025-10-31 22:06:57,897 INFO: [30_4..][epoch: 0, step: 1,100, lr:(9.980e-05,)] [eta: 19:35:37, time (data): 0.571 (0.000)] eagle_pixel_opt: 8.6995e+00 l1_pixel_opt: 5.8234e-02 fft_frequency_opt: 4.2870e-02 +2025-10-31 22:07:56,556 INFO: [30_4..][epoch: 0, step: 1,200, lr:(9.980e-05,)] [eta: 19:37:38, time (data): 0.579 (0.000)] eagle_pixel_opt: 9.9477e+00 l1_pixel_opt: 6.4321e-02 fft_frequency_opt: 4.5038e-02 +2025-10-31 22:08:53,598 INFO: [30_4..][epoch: 0, step: 1,300, lr:(9.980e-05,)] [eta: 19:36:38, time (data): 0.571 (0.000)] eagle_pixel_opt: 9.6272e+00 l1_pixel_opt: 6.6430e-02 fft_frequency_opt: 4.7982e-02